nfhs5 India

'ŽǀĞƌŶŵĞŶƚŽĨ/ŶĚŝĂ
'ŽǀĞƌŶŵĞŶƚŽĨ/ŶĚŝĂ
DŝŶŝƐƚƌǇŽĨ,ĞĂůƚŚĂŶĚ&ĂŵŝůǇtĞůĨĂƌĞ
DŝŶŝƐƚƌǇŽĨ,ĞĂůƚŚĂŶĚ&ĂŵŝůǇtĞůĨĂƌĞ
National
NationalFamily
FamilyHealth
HealthSurvey
Survey
(NFHS
(NFHS- -5),
5),2019–21
2019–21
INDIA
INDIA REPORT
REPORT
National Family Health Survey
/ŶƚĞƌŶĂƟŽŶĂů/ŶƐƟƚƵƚĞĨŽƌWŽƉƵůĂƟŽŶ^ĐŝĞŶĐĞƐ
/ŶƚĞƌŶĂƟŽŶĂů/ŶƐƟƚƵƚĞĨŽƌWŽƉƵůĂƟŽŶ^ĐŝĞŶĐĞƐ
International
InternationalInstitute
InstituteforforPopulation
PopulationSciences
Sciences
ĞŽŶĂƌ͕DƵŵďĂŝͲϰϬϬϬϴϴ
ĞŽŶĂƌ͕DƵŵďĂŝͲϰϬϬϬϴϴ
Deonar,
Deonar,Mumbai-
Mumbai-400088
400088
NATIONAL FAMILY HEALTH SURVEY (NFHS-5)
2019-21
INDIA
VOLUME I
MARCH 2022
Suggested citation: International Institute for Population Sciences (IIPS) and ICF. 2021.
National Family Health Survey (NFHS-5), 2019-
2019-21: India: Volume I. Mumbai: IIPS.
For additional information about the 2019-21 National Family Health Survey (NFHS-5), please contact:
International Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai-400088
Telephone: 022-4237 2442
Email: nfhs52017@gmail.com, director@iipsindia.ac.in
For related information, visit http://www.rchiips.org/nfhs or http://www.iipsindia.ac.in
CONTENTS
TABLES AND FIGURES ............................................................................................................................................

KEY MESSAGE FROM HEALTH MINISTER OF
MINISTRY OF HEALTH AND FAMILY WELFARE ...........................................................................................
KEY MESSAGE FROM MINISTER OF STATES
FOREWORD FROM SECRETARY OF
PREFACE .....................................................................................................................................................................
PROLOGUE ................................................................................................................................................................
MESSAGE .....................................................................................................................................................................
FROM DIRECTOR’S DESK ......................................................................................................................................
CONTRIBUTORS
ACKNOWLEDGEMENTS .........................................................................................................................................
CHAPTER 1 INTRODUCTION ............................................................................................................................
1.1 K. S. James
Survey Objectives ..............................................................................................................................
1.2
1.3
S.K. Singh
Sample Design ...................................................................................................................................
Questionnaires ....................................................................................................................................
1.4 Hemkhothang Lhungdim
Biomarker Measurements and Tests ..................................................................................................
Chander Shekhar
1.5 Pretest .................................................................................................................................................
1.6 Training of Field Staff ........................................................................................................................
1.7 Laxmi Kant Dwivedi
Fieldwork ...........................................................................................................................................
1.8 Strategy to Ensure Data Quality ........................................................................................................
1.9 Sarang Pedgaonkar
Data Processing ..................................................................................................................................
1.10
Fred Arnold
Response Rates...................................................................................................................................
CHAPTER 2 HOUSEHOLD POPULATION AND HOUSING CHARACTERISTICS ..................................
2.1 Drinking Water Sources and Treatment .............................................................................................

2.2 Sanitation ...........................................................................................................................................
2.3 Exposure to Smoke inside the Home and Other Housing Characteristics ..........................................
2.3.1 Exposure to Smoke inside the Home .................................................................................................
2.3.2 Other Housing Characteristics ...........................................................................................................
2.4 Household Wealth ..............................................................................................................................
2.5 Hand Washing ....................................................................................................................................
2.6 Household Population and Composition ............................................................................................
2.7 Birth Registration ...............................................................................................................................
2.8 Death Registration ..............................................................................................................................
2.9 Children’s Living Arrangements and Parental Survival.....................................................................
2.10 Schooling ...........................................................................................................................................
2.10.1 Educational Attainment ......................................................................................................................
2.10.2 Preschool Attendance .........................................................................................................................
2.10.3 School Attendance .............................................................................................................................
2.11 Disability ............................................................................................................................................
2.12 Use of Tobacco and Alcohol ..............................................................................................................
2.13 Possession of Mosquito Nets ..............................................................................................................
CONTENTS
VOLUME I
TABLES AND FIGURES .......................................................................................................................................... x
KEY MESSAGE FROM HEALTH MINISTER OF
MINISTRY OF HEALTH AND FAMILY WELFARE ...................................................................................... xxi
KEY MESSAGE FROM MINISTER OF STATES
MINISTRY OF HEALTH AND FAMILY WELFARE .................................................................................... xxiii
FOREWORD FROM SECRETARY OF
MINISTRY OF HEALTH AND FAMILY WELFARE ......................................................................................xxv
PROLOGUE ........................................................................................................................................................ xxvii
PREFACE .............................................................................................................................................................. xxix
MESSAGE .............................................................................................................................................................. xxxi
ACKNOWLEDGEMENTS FROM DIRECTOR’S DESK ............................................................................. xxxiii
CHAPTER 1 INTRODUCTION .......................................................................................................................... 1
1.1 Survey Objectives ............................................................................................................................ 2

1.2 Sample Design ................................................................................................................................. 2
1.3 Questionnaires .................................................................................................................................. 3
1.4 Biomarker Measurements and Tests ................................................................................................ 4
1.5 Pretest ............................................................................................................................................... 6
1.6 Training of Field Staff ...................................................................................................................... 7
1.7 Fieldwork ......................................................................................................................................... 7
1.8 Strategy to Ensure Data Quality ...................................................................................................... 7
1.9 Data Processing ...............................................................................................................................12
1.10 Response Rates................................................................................................................................12
CHAPTER 2 HOUSEHOLD POPULATION AND HOUSING CHARACTERISTICS ...............................17
2.1 Drinking Water Sources and Treatment ..........................................................................................18

2.2 Sanitation ........................................................................................................................................19
2.3 Exposure to Smoke inside the Home and Other Housing Characteristics .......................................19
2.3.1 Exposure to Smoke inside the Home ..............................................................................................19
2.3.2 Other Housing Characteristics ........................................................................................................20
2.4 Household Wealth ...........................................................................................................................20
2.5 Hand Washing .................................................................................................................................21
2.6 Household Population and Composition .........................................................................................21
2.7 Birth Registration ............................................................................................................................22
2.8 Death Registration ...........................................................................................................................23
2.9 Children’s Living Arrangements and Parental Survival..................................................................23
2.10 Schooling ........................................................................................................................................21
2.10.1 Educational Attainment ...................................................................................................................21
2.10.2 Preschool Attendance ......................................................................................................................22
2.10.3 School Attendance ..........................................................................................................................23
2.11 Disability .........................................................................................................................................24
2.12 Use of Tobacco and Alcohol ...........................................................................................................25
2.13 Possession of Mosquito Nets ...........................................................................................................28
v
CHAPTER 3 CHARACTERISTICS OF RESPONDENTS ............................................................................79
3.1 Basic Characteristics of Survey Respondents .................................................................................79

3.2 Schooling and Literacy ...................................................................................................................80
3.3 Mass Media Exposure .....................................................................................................................81
3.4 Employment ....................................................................................................................................83
3.5 Occupation ......................................................................................................................................83
CHAPTER 4 FERTILITY AND FERTILITY PREFERENCES ..................................................................111
4.1 Current Fertility .............................................................................................................................111

4.2 Children Ever Born and Living .....................................................................................................113
4.3 Birth Order ....................................................................................................................................113
4.4 Birth Intervals ...............................................................................................................................114
4.5 Age at First Birth ...........................................................................................................................114
4.6 Menstrual Protection .....................................................................................................................115
4.7 Bathing Practices During Menstrual Period ..................................................................................116
4.8 Teenage Childbearing ...................................................................................................................116
4.9 Desire for Another Child ...............................................................................................................118
4.10 Ideal Family Size...........................................................................................................................119
4.11 Fertility Planning Status ................................................................................................................120
4.12 Wanted Fertility Rates ...................................................................................................................120
CHAPTER 5 FAMILY PLANNING ................................................................................................................157
5.1 Contraceptive Knowledge and Use ...............................................................................................157

5.2 Source of Modern Contraceptive Methods....................................................................................161
5.3 Informed Choice............................................................................................................................162
5.4 Discontinuation of Contraceptives ................................................................................................162
5.5 Exposure to Family Planning Messages ........................................................................................163
5.6 Demand for Family Planning ........................................................................................................163
5.7 Hysterectomy ................................................................................................................................165
CHAPTER 6 OTHER PROXIMATE DETERMINANTS OF FERTILITY ................................................207
6.1 Marital Status ................................................................................................................................207

6.2 Age at First Marriage ....................................................................................................................208
6.3 Consanguineous Marriages ...........................................................................................................209
6.4 Age at First Sexual Intercourse .....................................................................................................210
6.5 Recent Sexual Activity ..................................................................................................................211
6.6 Insusceptibility to Pregnancy ........................................................................................................211
6.7 Pregnancy Outcomes .....................................................................................................................212
6.7.1 Characteristics of Abortions ..........................................................................................................213
CHAPTER 7 INFANT AND CHILD MORTALITY ......................................................................................241
7.1 Infant and Child Mortality.............................................................................................................242

7.2 Biodemographic Risk Factors .......................................................................................................243
7.3 Perinatal Mortality ........................................................................................................................244
CHAPTER 8 MATERNAL HEALTH ..............................................................................................................259
8.1 Pregnancy Registration .................................................................................................................260

8.1.1 Registration of Pregnancies ...........................................................................................................260
8.1.2 Mother and Child Protection Card (MCP Card)............................................................................260
8.2 Antenatal Care Coverage and Content ..........................................................................................260
8.2.1 Skilled Providers ...........................................................................................................................260
8.2.2 Timing and Number of ANC Visits ..............................................................................................261
vi
8.3 Components of ANC Visits...........................................................................................................263
8.4 Protection against Neonatal Tetanus .............................................................................................263
8.5 Ultrasound Testing during Pregnancy ...........................................................................................264
8.6 Delivery Services ..........................................................................................................................264
8.6.1 Institutional Deliveries ..................................................................................................................264
8.6.2 Skilled Assistance during Delivery ...............................................................................................266
8.6.3 Delivery by Caesarean Section .....................................................................................................267
8.7 Delivery Costs ...............................................................................................................................269
8.8 Postnatal Care ...............................................................................................................................270
8.8.1 Postnatal Health Check for Mothers .............................................................................................270
8.8.2 Postnatal Health Checks for Newborns .........................................................................................271
CHAPTER 9 CHILD HEALTH ........................................................................................................................323
9.1 Birth Weight ..................................................................................................................................324

9.2 Vaccination of Children ................................................................................................................324
9.3 Symptoms of Acute Respiratory Infection ....................................................................................329
9.4 Fever .............................................................................................................................................329
9.5 Diarrhoeal Disease ........................................................................................................................329
9.5.1 Prevalence of Diarrhoea ................................................................................................................329
9.5.2 Treatment of Diarrhoea .................................................................................................................331
9.5.3 Feeding Practices ..........................................................................................................................333
9.5.4 Knowledge of ORS Packets ..........................................................................................................333
9.6 Disposal of Children’s Stools ........................................................................................................334
9.7 Utilization of Integrated Child Development Services (ICDS) .....................................................334
9.7.1 Utilization of ICDS by Pregnant and Lactating Mothers ..............................................................335
CHAPTER 10 NUTRITION AND ANAEMIA ..................................................................................................373
10.1 Nutritional Status of Children .......................................................................................................374

10.1.1 Nutritional Status among Young Children ....................................................................................374
10.1.2 Levels of Child Malnutrition .........................................................................................................375
10.2 Infant and Young Child Feeding Practices ....................................................................................376
10.2.1 Initiation of Breastfeeding .............................................................................................................376
10.2.2 Exclusive Breastfeeding ................................................................................................................377
10.2.3 Median Duration of Breastfeeding ................................................................................................377
10.2.4 Complementary Feeding ...............................................................................................................378
10.2.5 Minimum Acceptable Diet ............................................................................................................378
10.3 Anaemia Prevalence in Children ...................................................................................................380
10.4 Presence of Iodised Salt in Households ........................................................................................381
10.5 Micronutrient Intake and Supplementation among Children ........................................................381
10.6 Nutritional Status in Adults ...........................................................................................................381
10.7 Waist-to-Hip Ratio in Adults ........................................................................................................383
10.8 Anaemia Prevalence in Adults ......................................................................................................384
10.9 Food Consumption of Women and Men .......................................................................................385
CHAPTER 11 MORBIDITY AND HEALTH CARE .......................................................................................443
11.1 Tuberculosis ..................................................................................................................................443

11.1.1 Prevalence of Tuberculosis ...........................................................................................................443
11.1.2 Knowledge and Attitudes toward Tuberculosis ............................................................................444
11.2 Health Problems ............................................................................................................................445
11.3 Use of Tobacco .............................................................................................................................445
11.3.1 Consumption of Tobacco ..............................................................................................................445
11.3.2 Quitting Tobacco...........................................................................................................................446
vii
11.4 Alcohol Use, Health Insurance, and Sources of Health Care ........................................................447
11.4.1 Use of Alcohol ..............................................................................................................................447
11.5 Health Insurance Coverage ...........................................................................................................447
11.6 Sources of Health Care ..................................................................................................................448
11.7 Reasons for Not Using Government Health Care .........................................................................449
11.8 Recent Contact with Health Workers ............................................................................................449
11.9 Problems in Accessing Health Care ..............................................................................................449
CHAPTER 12 OTHER ADULT HEALTH ISSUES .........................................................................................487
12.1 Coverage of Testing for Blood Pressure and Random Blood Glucose Measurements .................488
12.2 Blood Pressure ..............................................................................................................................488
12.2.1 Self Reports of Blood Pressure Measurement and Medication .....................................................488
12.2.2 Blood Pressure Levels and Treatment Status ................................................................................488
12.3 Random Blood Glucose ................................................................................................................489
12.4 Health Examinations for Cancer Screening ..................................................................................490
12.5 Age-Specific Death Rates and Crude Death Rates ........................................................................491
12.6 Adult Mortality..............................................................................................................................491
CHAPTER 13 HIV/AIDS-RELATED KNOWLEDGE, ATTITUDES, AND BEHAVIOUR .......................517
13.1 HIV/AIDS Knowledge, Transmission, and Prevention Methods ..................................................518

13.2 Comprehensive Knowledge ..........................................................................................................519
13.3 Knowledge about Mother-to-Child Transmission .........................................................................520
13.4 Accepting Attitudes toward People Living with HIV ...................................................................521
13.5 Attitudes toward Negotiating Sex with Husband ..........................................................................522
13.6 Multiple Sexual Partners ...............................................................................................................522
13.7 Paid Sex.........................................................................................................................................523
13.8 Coverage of HIV Testing Services ................................................................................................523
13.8.1 Awareness of HIV Testing Services and Experience with HIV Testing .......................................523
13.8.2 HIV Testing of Pregnant Women ..................................................................................................525
13.9 Self-Reporting of Sexually Transmitted Infections .......................................................................525
13.10 HIV/AIDS-related Knowledge and Behaviour among Young People ..........................................526
13.10.1 Knowledge of HIV/AIDS..............................................................................................................526
13.10.2 First Sex ........................................................................................................................................526
13.10.3 Premarital Sex ...............................................................................................................................527
13.10.4 Multiple Sexual Partners ...............................................................................................................527
13.10.5 Coverage of HIV Testing Services ................................................................................................527
CHAPTER 14 WOMEN’S EMPOWERMENT.................................................................................................581
14.1 Currently Married Women’s and Men’s Employment ..................................................................582

14.2 Control over Women’s Earnings ...................................................................................................583
14.3 Control over Men’s Earnings ........................................................................................................584
14.4 Participation in Household Decision Making ................................................................................584
14.5 Men’s Attitudes toward Women’s Roles in Decision Making ......................................................585
14.6 Women’s Access to Money and Microcredit ................................................................................586
14.7 Freedom of Movement ..................................................................................................................587
14.8 Attitudes toward Wife Beating ......................................................................................................587
14.9 Attitudes toward Negotiating Safer Sexual Relations with Husband ............................................588
14.10 Women’s and Men’s Ownership of Assets ...................................................................................589
14.11 Ownership and Use of a Mobile Phone .........................................................................................590
viii
CHAPTER 15 DOMESTIC VIOLENCE ...........................................................................................................641
15.1 Measurement of Violence .............................................................................................................642

15.2 Women’s Experience of Physical Violence ..................................................................................643
15.2.1 Perpetrators of Physical Violence .................................................................................................644
15.3 Experience of Sexual Violence .....................................................................................................644
15.3.1 Prevalence of Sexual Violence ......................................................................................................644
15.3.2 Perpetrators of Sexual Violence ....................................................................................................644
15.4 Experience of Different Types of Violence...................................................................................645
15.5 Marital Control by Husband ..........................................................................................................645
15.6 Forms of Spousal Violence ...........................................................................................................646
16.6.1 Prevalence of Spousal Violence ....................................................................................................646
15.7 Injuries to Women due to Spousal Violence .................................................................................649
15.8 Violence Initiated by Women against Husbands ...........................................................................649
15.9 Help-seeking among Women who have Experienced Violence....................................................650
16.9.1 Sources of Help .............................................................................................................................650
ix
TABLES AND FIGURES
CHAPTER 1 INTRODUCTION ......................................................................................................... 1
Table 1.1 Results of the household and individual interviews ....................................................... 13

Table 1.2 Number of households, women, and men interviewed by state/union territory ............. 14
Figure 1.1 Data Collection System .................................................................................................... 8

Figure 1.2 Communication Scenario: Data Collection ...................................................................... 9
CHAPTER 2 HOUSEHOLD POPULATION AND HOUSING CHARACTERISTICS ............. 15
Table 2.1 Household drinking water .............................................................................................. 31

Table 2.2 Household sanitation facilities ....................................................................................... 33
Table 2.3 Sanitation facility type by wealth quintile and state/union territory ............................... 34
Table 2.4 Access to a toilet facility ................................................................................................ 36
Table 2.5 Access to a toilet facility by state/union territory ........................................................... 37
Table 2.6 Housing characteristics .................................................................................................. 38
Table 2.7 Housing characteristics by state/union territory ............................................................. 40
Table 2.8 Wealth quintiles by state/union territory ........................................................................ 41
Table 2.9 Religion and caste/tribe by wealth quintiles ................................................................... 42
Table 2.10 Religion and caste/tribe of household head by state/union territory .............................. 43
Table 2.11 Household possessions ................................................................................................... 45
Table 2.12 Household ownership of agricultural land, house, and farm animals ............................. 46
Table 2.13 Hand washing ................................................................................................................. 47
Table 2.14 Household composition .................................................................................................. 48
Table 2.15 Household population by age, residence, sex, and possession of an Aadhaar card ....... 49
Table 2.16 Birth registration of children .......................................................................................... 50
Table 2.17 Birth registration of children by state/union territory ..................................................... 52
Table 2.18 Death registration ........................................................................................................... 53
Table 2.19 Death registration by state/union territory ...................................................................... 54
Table 2.20 Children's living arrangements and orphanhood ............................................................ 55
Table 2.21 Children's living arrangements and orphanhood by state/union territory ....................... 56
Table 2.22 Preschool attendance ...................................................................................................... 58
Table 2.23 Preschool attendance by state/union territory................................................................. 59
Table 2.24 Educational attainment of household population ........................................................... 60
Table 2.25 Educational attainment of household population by state/union territory ...................... 62
Table 2.26 School attendance by state/union territory ..................................................................... 64
Table 2.27 School attendance ratios ................................................................................................. 66
Table 2.28 Reasons for children currently not attending school ...................................................... 68
Table 2.29 Disability ........................................................................................................................ 69
Table 2.30 Prevalence of any disability ........................................................................................... 71
Table 2.31 Prevalence of any disability by state/union territory ...................................................... 72
Table 2.32 Household possession of mosquito nets ......................................................................... 73
Table 2.33 Use of alcohol by the population age 15 and over ......................................................... 75
Table 2.34 Use of alcohol by the population age 15 and over by state/union territory .................... 76
Table 2.35 Use of tobacco by the population age 15 and over ......................................................... 77
Table 2.36 Use of tobacco by the population age 15 and over by state/union territory ................... 78
Figure 2.1 Household Drinking Water by Residence ...................................................................... 18

Figure 2.2 Household Toilet Facilities by Residence ...................................................................... 19
x
Figure 2.3 Household Wealth by Residence .................................................................................... 20
Figure 2.4 Population Pyramid ........................................................................................................ 21
Figure 2.5 Birth Registration by State/UT ....................................................................................... 22
Figure 2.6 Orphanhood by Child's Age ........................................................................................... 23
Figure 2.7 School Attendanceby Age, Sex, and Residence ............................................................. 25
CHAPTER 3 CHARACTERISTICS OF RESPONDENTS .......................................................... 79
Table 3.1 Background characteristics of respondents .................................................................... 86

Table 3.2.1 Respondent's level of schooling: Women....................................................................... 88
Table 3.2.2 Respondent's level of schooling: Men ............................................................................ 89
Table 3.3.1 Literacy: Women ............................................................................................................ 90
Table 3.3.2 Literacy: Men ................................................................................................................. 91
Table 3.4.1 Respondent's level of schooling and literacy by state/union territory: Women.............. 92
Table 3.4.2 Respondent's level of schooling and literacy by state/union territory: Men ................... 94
Table 3.5.1 Exposure to mass media: Women .................................................................................. 96
Table 3.5.2 Exposure to mass media: Men........................................................................................ 98
Table 3.6 Internet usage: Men and Women.................................................................................. 100
Table 3.7 Exposure to mass media and internet usage by state/union territory ............................ 102
Table 3.8 Employment status: Women ........................................................................................ 104
Table 3.9 Employment status: Men .............................................................................................. 105
Table 3.10 Employment status of women and men by state/union territory .................................. 106
Table 3.11 Occupation ................................................................................................................... 108
Table 3.12 Type of employment .................................................................................................... 109
Figure 3.1 Education of Survey Respondents .................................................................................. 82

Figure 3.2 Secondary or Higher Education by Residence ............................................................... 82
Figure 3.3 Exposure to Mass Media ................................................................................................ 83
Figure 3.4 Internet Usage by Residence .......................................................................................... 84
Figure 3.5 Employment Status by Schooling .................................................................................. 85
CHAPTER 4 FERTILITY AND FERTILITY PREFERENCES ................................................ 111
Table 4.1 Current fertility............................................................................................................. 123

Table 4.2 Fertility by background characteristics ........................................................................ 124
Table 4.3 Fertility by state/union territory ................................................................................... 125
Table 4.4 Trends in age-specific fertility rates ............................................................................. 127
Table 4.5 Children ever born and living ....................................................................................... 128
Table 4.6 Birth order .................................................................................................................... 129
Table 4.7 Birth intervals ............................................................................................................... 130
Table 4.8 Age at first birth ........................................................................................................... 132
Table 4.9 Median age at first birth ............................................................................................... 133
Table 4.10 Teenage pregnancy and motherhood ............................................................................ 134
Table 4.11 Teenage pregnancy and motherhood by state/union territory ...................................... 136
Table 4.12 Fertility preferences by number of living children ....................................................... 137
Table 4.13 Menstrual protection .................................................................................................... 138
Table 4.14 Menstrual protection by state/union territory ............................................................... 139
Table 4.15 Bathing practices during menstrual period ................................................................... 141
Table 4.16 Bathing practices during menstrual period by state/union territory ............................. 142
Table 4.17 Desire to limit childbearing .......................................................................................... 144
Table 4.18 Desire to limit childbearing by state/union territory .................................................... 146
Table 4.19.1 Indicators of sex preference: Women ........................................................................... 148
Table 4.19.2 Indicators of sex preference: Men ................................................................................ 150
Table 4.20 Indicators of sex preference by state/union territory .................................................... 152
Table 4.21 Fertility planning status ................................................................................................ 154
xi
Table 4.22 Wanted fertility rates .................................................................................................... 155
Table 4.23 Wanted fertility rates by state/union territory .............................................................. 156
Figure 4.1 Trends in Fertility by Residence .................................................................................. 112

Figure 4.2 Fertility by Household Wealth ..................................................................................... 113
Figure 4.3 Trends in Age-specific Fertility Rates .......................................................................... 113
Figure 4.4 Birth Intervals............................................................................................................... 114
Figure 4.5 Median Age at First Birth by Schooling....................................................................... 115
Figure 4.6 Teenage Motherhood by State/UT ............................................................................... 117
Figure 4.7 Currently Married Women and Men Age 15 – 49 with Two Children Who Want No
More Children by Number of Living Sons ................................................................... 118
Figure 4.8 Trends in Wanted and Actual Fertility ......................................................................... 120
CHAPTER 5 FAMILY PLANNING .............................................................................................. 157
Table 5.1 Knowledge of contraceptive methods .......................................................................... 167

Table 5.2 Current use of contraception by state/union territory ................................................... 170
Table 5.3.1 Current use of contraception by background characteristics ........................................ 176
Table 5.3.2 Contraceptive use by men with last partner ................................................................. 178
Table 5.4 Knowledge of contraceptive methods among adolescents ........................................... 181
Table 5.5 Current use of contraception by age ............................................................................. 182
Table 5.6 Timing of sterilization .................................................................................................. 184
Table 5.7 Compensation for sterilization and PPIUD .................................................................. 185
Table 5.8 Compensation for sterilization and PPIUD by state/union territory ............................. 186
Table 5.9 Source of Modern Contraceptive Methods................................................................... 187
Table 5.10 Public sector as source of modern contraceptives methods by state/union territory .... 190
Table 5.11 Use and source of emergency contraceptive pills ........................................................ 192
Table 5.12 Informed choice ........................................................................................................... 193
Table 5.13 Informed choice by state/union territory ...................................................................... 194
Table 5.14 Twelve-month contraceptive discontinuation rates ...................................................... 195
Table 5.15 Twelve-month contraceptive discontinuation rates by state/union territory................. 196
Table 5.16.1 Exposure to family planning messages: Women .......................................................... 197
Table 5.16.2 Exposure to family planning messages: Men ............................................................... 198
Table 5.17 Men's contraception-related perceptions and knowledge ............................................. 199
Table 5.18 Men's contraception-related perceptions and knowledge
by state/union territory ................................................................................................ 200
Table 5.19 Need and demand for family planning among currently married women .................... 201
Table 5.20 Need and demand for family planning by state/union territory .................................... 203
Table 5.21 Hysterectomy ............................................................................................................... 205
Table 5.22 Hysterectomy by state/union territory .......................................................................... 206
Figure 5.1 What Contraceptive Methods do Women Use? ........................................................... 158

Figure 5.2 Use of Modern Contraceptive Methods by Household Wealth .................................... 158
Figure 5.3 Use of Contraceptive Methods by State/UT ................................................................. 159
Figure 5.4 Source of Modern Contraceptive Methods ................................................................... 161
Figure 5.5 Contraceptive Discontinuation Rates for Modern Spacing Methods ........................... 162
Figure 5.6 Demand for Family Planning ....................................................................................... 164
Figure 5.7 Unmet Need for Family Planning by State/UT ............................................................ 165
CHAPTER 6 OTHER PROXIMATE DETERMINANTS OF FERTILITY .............................. 207
Table 6.1 Current marital status ................................................................................................... 215

Table 6.2 Age at first marriage ..................................................................................................... 217
Table 6.3.1 Median age at first marriage: Women .......................................................................... 218
Table 6.3.2 Median age at first marriage: Men ............................................................................... 219
xii
Table 6.4 Age at first marriage by state/union territory ............................................................... 220
Table 6.5 Consanguineous marriages ........................................................................................... 221
Table 6.6 Consanguineous marriages by state/union territory ..................................................... 222
Table 6.7 Age at first sexual intercourse ...................................................................................... 223
Table 6.8.1 Median age at first sexual intercourse: Women ........................................................... 224
Table 6.8.2 Median age at first sexual intercourse: Men ................................................................. 225
Table 6.9.1 Most recent sexual activity: Women ............................................................................ 226
Table 6.9.2 Most recent sexual activity: Men ................................................................................. 228
Table 6.10 Postpartum amenorrhoea, abstinence, and insusceptibility .......................................... 230
Table 6.11 Median duration of postpartum amenorrhoea, postpartum abstinence,
and postpartum insusceptibility ................................................................................... 231
Table 6.12 Menopause ................................................................................................................... 232
Table 6.13 Non-live births ............................................................................................................. 233
Table 6.14 Non-live births by state/union territory ........................................................................ 234
Table 6.15 Pregnancy outcome ...................................................................................................... 235
Table 6.16 Pregnancy outcome by state/union territory ................................................................. 236
Table 6.17 Characteristics of abortions .......................................................................................... 237
Table 6.18 Main reason for abortions by state/union territory ....................................................... 239
Figure 6.1 Marital Status ............................................................................................................... 208

Figure 6.2 Women's Median Age at First Marriage by Schooling ................................................ 209
Figure 6.3 Consanguineous Marriages by State/UT ...................................................................... 210
CHAPTER 7 INFANT AND CHILD MORTALITY .................................................................... 241
Table 7.1 Early childhood mortality rates .................................................................................... 247

Table 7.2 Early childhood mortality rates by background characteristics .................................... 248
Table 7.3 Early childhood mortality rates by demographic characteristics .................................. 251
Table 7.4 Early childhood mortality rates by state/union territory ............................................... 254
Table 7.5 Perinatal mortality ........................................................................................................ 255
Table 7.6 Perinatal mortality by state/union territory................................................................... 256
Table 7.7 High-risk fertility behaviour ......................................................................................... 257
Figure 7.1 Trends in Early Childhood Mortality Rates ................................................................. 242

Figure 7.2 Under-five Mortality Rate by State/UT ........................................................................ 243
Figure 7.3 High-risk Births Have Higher Mortality Rates ............................................................ 244
CHAPTER 8 MATERNAL HEALTH ............................................................................................ 259
Table 8.1 Pregnancy registration and Mother and Child Protection Card .................................... 273
Table 8.2 Health problems during pregnancy .............................................................................. 274
Table 8.3 Antenatal care............................................................................................................... 275
Table 8.4 Antenatal care by state/union territory ......................................................................... 276
Table 8.5 Number of antenatal care visits and timing of first visit .............................................. 277
Table 8.6 Number of antenatal care visits and timing of first visit by source .............................. 278
Table 8.7 Components of antenatal care ...................................................................................... 279
Table 8.8 Antenatal care services and information received ........................................................ 280
Table 8.9 Male involvement in antenatal care.............................................................................. 282
Table 8.10 Reasons why child's mother did not receive antenatal care: Men ................................ 284
Table 8.11 Antenatal care indicators by state/union territory......................................................... 285
Table 8.12 Pregnancies for which an ultrasound test was done ..................................................... 287
Table 8.13 Place of delivery ........................................................................................................... 289
Table 8.14 Reasons for not delivering in a health facility .............................................................. 291
Table 8.15 Institutional delivery of youngest child: Men .............................................................. 292
Table 8.16 Delivery and other related information given to men: Men's reports ........................... 293
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Table 8.17 Delivery and other related information given to men
by state/union territory: Men's reports......................................................................... 295
Table 8.18 Adherence to delivery protocol for home delivery ....................................................... 297
Table 8.19 Assistance during delivery ........................................................................................... 298
Table 8.20 Delivery costs ............................................................................................................... 301
Table 8.21 Duration of stay in health facility after birth ................................................................ 302
Table 8.22 Timing of first postnatal check for the mother ............................................................. 303
Table 8.23 Type of provider of first postnatal check for the mother .............................................. 306
Table 8.24 Timing of first postnatal check for the newborn .......................................................... 308
Table 8.25 Type of provider of first postnatal check for the newborn ........................................... 311
Table 8.26 Components of postnatal health check ......................................................................... 313
Table 8.27 Symptoms of postpartum complications ...................................................................... 314
Table 8.28 Maternal care indicators by state/union territory .......................................................... 315
Table 8.29 Trends in maternal care indicators ............................................................................... 317
Table 8.30 Advice received during pregnancy ............................................................................... 318
Table 8.31 Delivery and postnatal care by state/union territory ..................................................... 319
Table 8.32 Birth order and delivery characteristics by state/union territory .................................. 321
Figure 8.1 Trends in Antenatal Coverage ...................................................................................... 261

Figure 8.2 Components of Antenatal Care .................................................................................... 263
Figure 8.3 Trends in Health Facility Births ................................................................................... 264
Figure 8.4 Health FacilityBirths by Schooling .............................................................................. 265
Figure 8.5 Health Facility Births by State/UT ............................................................................... 266
Figure 8.6 Assistance during Delivery .......................................................................................... 267
Figure 8.7 Skilled Assistance at Delivery by Household Wealth .................................................. 267
Figure 8.8 Postnatal Care by Place of Delivery ............................................................................. 270
CHAPTER 9 CHILD HEALTH ...................................................................................................... 323
Table 9.1 Child's weight and size at birth .................................................................................... 337

Table 9.2 Child's weight and size at birth by state/union territory ............................................... 339
Table 9.3 Vaccinations by source of information......................................................................... 341
Table 9.4 Vaccinations by background characteristics ................................................................ 343
Table 9.5 Vaccinations by state/union territory ........................................................................... 345
Table 9.6 Trends over time in vaccinations .................................................................................. 347
Table 9.7 Prevalence and treatment of symptoms of ARI ............................................................ 348
Table 9.8 Prevalence and treatment of symptoms of ARI by state/union territory ...................... 350
Table 9.9 Prevalence and treatment of fever ................................................................................ 352
Table 9.10 Prevalence of diarrhoea ................................................................................................ 354
Table 9.11 Diarrhoea treatment ...................................................................................................... 356
Table 9.12 Diarrhoea treatment by state/union territory ................................................................ 358
Table 9.13 Feeding practices during diarrhoea .............................................................................. 360
Table 9.14 Feeding practices during diarrhoea by state/union territory ......................................... 362
Table 9.15 Knowledge of ORS packets ......................................................................................... 364
Table 9.16 Disposal of children's stools ......................................................................................... 365
Table 9.17 Disposal of children's stools by state/union territory.................................................... 367
Table 9.18 Indicators of utilization of ICDS services .................................................................... 368
Table 9.19 Indicators of utilization of ICDS services by state/union territory ............................... 369
Table 9.20 Utilization of ICDS services during pregnancy and while breastfeeding ..................... 371
Table 9.21 Indicators of women’s utilization of ICDS services during pregnancy and while
breastfeeding by state/union territory ......................................................................... 372
Figure 9.1 Childhood Vaccinations ............................................................................................... 325

Figure 9.2 Trends in Childhood Vaccinations ............................................................................... 325
Figure 9.3 Coverage with All Basic Vaccinations by Mother's Schooling .................................... 326
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Figure 9.4 Coverage with All Basic Vaccinations by State/UT .................................................... 327
Figure 9.5 Prevalence of Diarrhoea by Age .................................................................................. 331
Figure 9.6 Treatment of Diarrhoea ................................................................................................ 332
Figure 9.7 Prevalence and Treatment of Childhood Illness ........................................................... 332
Figure 9.8 Feeding Practices during Diarrhoea ............................................................................. 333
CHAPTER 10 NUTRITION AND ANAEMIA ................................................................................ 373
Table 10.1 Nutritional status of children ........................................................................................ 387

Table 10.2 Nutritional status of children by state/union territory .................................................. 391
Table 10.3 Trends in nutritional status of children ......................................................................... 394
Table 10.4 Initial breastfeeding ...................................................................................................... 395
Table 10.5 Initial breastfeeding by state/union territory ................................................................ 397
Table 10.6 Breastfeeding status by age .......................................................................................... 399
Table 10.7 Median duration of breastfeeding ................................................................................. 400
Table 10.8 Median duration of breastfeeding by state/union territory ........................................... 401
Table 10.9 Foods and liquids consumed by children in the day or night
preceding the interview ............................................................................................... 402
Table 10.10 Minimum acceptable diet ............................................................................................. 403
Table 10.11 Minimum acceptable diet by state/union territory ........................................................ 405
Table 10.12 Prevalence of anaemia in children................................................................................ 408
Table 10.13 Prevalence of anaemia in children by state/union territory .......................................... 410
Table 10.14 Trends in prevalence of anaemia in children ................................................................ 411
Table 10.15 Presence of iodized salt in household ........................................................................... 412
Table 10.16 Presence of iodized salt in household by state/union territory ..................................... 413
Table 10.17 Micronutrient intake among children ........................................................................... 414
Table 10.18 Micronutrient intake among children by state/union territory ...................................... 417
Table 10.19.1 Nutritional status of women ......................................................................................... 420
Table 10.19.2 Nutritional status of men .............................................................................................. 422
Table 10.20.1 Nutritional status of women by state/union territory .................................................... 424
Table 10.20.2 Nutritional status of men by state/union territory......................................................... 426
Table 10.21 Waist circumference and waist-to-hip ratio ................................................................. 428
Table 10.22 Waist circumference and waist-to-hip ratio by state/union territory ............................ 430
Table 10.23.1 Prevalence of anaemia in women ................................................................................. 432
Table 10.23.2 Prevalence of anaemia in men ...................................................................................... 434
Table 10.24 Prevalence of anaemia in women and men by state/union territory ............................. 436
Table 10.25 Women's and men's food consumption ........................................................................ 437
Table 10.26.1 Women's food consumption ......................................................................................... 438
Table 10.26.2 Men's food consumption .............................................................................................. 439
Table 10.27.1 Women's food consumption by state/union territory .................................................... 440
Table 10.27.2 Men's food consumption by state/union territory ......................................................... 441
Figure 10.1 Trends in Nutritional Status of Children ...................................................................... 375

Figure 10.2 Stunting in Children by State/UT ................................................................................. 376
Figure 10.3 Breastfeeding Practices by Age .................................................................................... 377
Figure 10.4 IYCF Indicators on Minimum Acceptable Diet (MAD) .............................................. 379
Figure 10.5 Trends in Childhood Anaemia ..................................................................................... 380
Figure 10.6 Nutritional Status of Women and Men ......................................................................... 382
Figure 10.7 Trends in Nutritional Status ......................................................................................... 383
Figure 10.8 Trends in AnaemiaStatus ............................................................................................. 384
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CHAPTER 11 MORBIDITY AND HEALTH CARE ..................................................................... 443
Table 11.1 Prevalence of tuberculosis ............................................................................................ 451

Table 11.2 Prevalence of tuberculosis by persons per sleeping room and
cooking fuel/cooking arrangements ............................................................................. 452
Table 11.3 Prevalence of tuberculosis by state/union territory ...................................................... 453
Table 11.4.1 Knowledge and attitudes toward tuberculosis: Women ............................................... 454
Table 11.4.2 Knowledge and attitudes toward tuberculosis: Men..................................................... 455
Table 11.5.1 Self-reported health problems: Women........................................................................ 456
Table 11.5.2 Self-reported health problems: Men ............................................................................. 458
Table 11.6 Self-reported health problems by state/union territory ................................................. 460
Table 11.7 Tobacco use by women and men ................................................................................. 461
Table 11.8 Use of tobacco by background characteristics ............................................................. 462
Table 11.9 Quitting tobacco use and advice by a health care provider .......................................... 464
Table 11.10 Quitting tobacco use and advice by a health care provider by state/union territory ..... 466
Table 11.11.1 Use of alcohol: Women ................................................................................................ 468
Table 11.11.2 Use of alcohol: Men ..................................................................................................... 469
Table 11.12 Use of alcohol by state/union territory ......................................................................... 470
Table 11.13 Health scheme/health insurance coverage .................................................................... 471
Table 11.14.1 Health scheme/health insurance coverage: Women ..................................................... 472
Table 11.14.2 Health scheme/health insurance coverage: Men .......................................................... 474
Table 11.15 Health scheme/health insurance coverage among women and men
by state/union territory................................................................................................ 476
Table 11.16 Source of health care .................................................................................................... 477
Table 11.17 Reasons for not using a government health facility by state/union territory ................ 478
Table 11.18 Recent contacts with health workers ............................................................................ 479
Table 11.19 Matters discussed during contacts with a health worker .............................................. 481
Table 11.20 Contacts with health workers and visit to a health facility or camp
by state/union territory................................................................................................ 482
Table 11.21 Problems in accessing health care ................................................................................ 484
Figure 11.1 Tobacco Use by Sex and Residence ............................................................................. 446

Figure 11.2 Health Insurance Coverage of Households by State/UT .............................................. 448
CHAPTER 12 OTHER ADULT HEALTH ISSUES ....................................................................... 487
Table 12.1 Coverage of testing for blood pressure and random blood glucose measurements ...... 493
Table 12.2 Self reports of blood pressure measurement and medication ....................................... 494
Table 12.3.1 Blood pressure levels and treatment status: Women .................................................... 495
Table 12.3.2 Blood pressure levels and treatment status: Men ......................................................... 498
Table 12.4.1 Blood pressure levels and treatment status by state/union territory: Women ............... 501
Table 12.4.2 Blood pressure levels and treatment status by state/union territory: Men .................... 503
Table 12.5.1 Random blood glucose levels: Women ........................................................................ 505
Table 12.5.2 Random blood glucose levels: Men ............................................................................. 507
Table 12.6.1 Random blood glucose levels by state/union territory: Women ................................... 509
Table 12.6.2 Random blood glucose levels by state/union territory: Men ........................................ 510
Table 12.7 Screening tests for cancer........................................................................................... 511
Table 12.8 Screening tests for cancer by state/union territory ....................................................... 512
Table 12.9 Age-specific death rates and crude death rates ............................................................. 513
Table 12.10 Crude death rates by state/union territory .................................................................... 514
Table 12.11 Adult mortality ............................................................................................................. 515
Table 12.12 Adult mortality by state/union territory ........................................................................ 516
Figure 12.1 Prevalence of Hypertension by Age and Sex ............................................................... 489

Figure 12.2 CancerScreeningfor Women ........................................................................................ 490
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CHAPTER 13 HIV/AIDS-RELATED KNOWLEDGE, ATTITUDES, AND BEHAVIOUR ..... 517
Table 13.1 Knowledge of HIV or AIDS ........................................................................................ 530

Table 13.2 Knowledge of HIV/AIDS prevention methods ............................................................ 531
Table 13.3.1 Comprehensive knowledge about HIV/AIDS: Women ............................................... 533
Table 13.3.2 Comprehensive knowledge about HIV/AIDS: Men ..................................................... 535
Table 13.4 Knowledge of prevention of HIV/AIDS transmission from a mother to her baby ....... 537
Table 13.5 HIV/AIDS awareness indicators by state/union territory ............................................. 540
Table 13.6 Accepting attitudes toward those living with HIV/AIDS ............................................. 541
Table 13.7.1 Accepting attitudes toward those living with HIV/AIDS
by state/union territory: Women.................................................................................. 542
Table 13.7.2 Accepting attitudes toward those living with HIV/AIDS
by state/union territory: Men ....................................................................................... 543
Table 13.8 Attitudes toward negotiating sex with husband ............................................................ 544
Table 13.9 Attitudes toward negotiating sex with husband by state/union territory ...................... 546
Table 13.10.1 Multiple sexual partners and higher-risk sexual intercourse
in the past 12 months: Women .................................................................................... 547
Table 13.10.2 Multiple sexual partners and higher-risk sexual intercourse
in the past 12 months: Men ......................................................................................... 549
Table 13.11 Multiple sexual partners and higher-risk sexual intercourse
in the past 12 months by state/union territory ............................................................. 551
Table 13.12 Payment for sexual intercourse and condom use at last paid
sexual intercourse: Men. ............................................................................................. 554
Table 13.13.1 Coverage of prior HIV testing: Women ....................................................................... 556
Table 13.13.2 Coverage of prior HIV testing: Men ............................................................................ 558
Table 13.14.1 Coverage of prior HIV testing by state/union territory: Women .................................. 560
Table 13.14.2 Coverage of prior HIV testing by state/union territory: Men ....................................... 561
Table 13.15 Coverage of prior HIV testing during antenatal care (ANC) or labour ........................ 562
Table 13.16 Coverage of prior HIV testing during antenatal care (ANC) or labour
Table 13.17 Self-reported prevalence of sexually transmitted infection (STI)
and/or STI symptoms .................................................................................................. 565
Table 13.18 Self-reported prevalence of sexually transmitted infection (STI)
and/or STI symptoms by state/union territory ............................................................. 567
Table 13.19 Comprehensive knowledge about HIV/AIDS and knowledge of a source of
condoms among youth ................................................................................................ 568
Table 13.20 Comprehensive knowledge about HIV/AIDS and knowledge of a source of
condoms among youth by state/union territory .......................................................... 570
Table 13.21 Age at first sexual intercourse among youth ................................................................ 571
Table 13.22 Sexual intercourse and condom use among never married youth ................................ 573
Table 13.23 Higher-risk sexual intercourse among youth and
condom use at last higher-risk intercourse .................................................................. 575
Table 13.24 Recent HIV tests among youth ..................................................................................... 577
Figure 13.1 Knowledge of HIV or AIDS by Household Wealth ..................................................... 518

Figure 13.2 Comprehensive Knowledge of HIV/AIDS by Schooling ............................................. 519
Figure 13.3.1 Women’s Knowledge of Condom Use for HIV/AIDS Prevention by State/UT .......... 520
Figure 13.3.2 Men’s Knowledge of Condom Use for HIV/AIDS Prevention by State/UT................ 520
Figure 13.4 Discriminatory Attitudes toward People Living with HIV/AIDS ................................ 521
Figure 13.5 Knowledge of Where to Get Tested for HIV by Schooling ......................................... 524
Figure 13.6 Prior HIV Testing ......................................................................................................... 524
Figure 13.7 HIV Testing during ANC or Labour Wealth by Household......................................... 525
Figure 13.8 Trend in Comprehensive Knowledge among Youth .................................................... 526
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CHAPTER 14 WOMEN’S EMPOWERMENT............................................................................... 581
Table 14.1 Employment and cash earnings .................................................................................... 593

Table 14.2 Employment and cash earnings by state/union territory............................................... 594
Table 14.3.1 Control over women's cash earnings and relative magnitude of women's
cash earnings: Women's reports.................................................................................. 595
Table 14.3.2 Control over women's cash earnings and relative magnitude of women's
cash earnings: Men's reports ....................................................................................... 597
Table 14.4 Control over men's cash earnings ................................................................................. 599
Table 14.5 Control over women's and men's cash earnings and relative magnitude of women's
cash earnings by state/union territory ......................................................................... 601
Table 14.6 Participation in decision making .................................................................................. 603
Table 14.7.1 Women's participation in decision making by background characteristics .................. 604
Table 14.7.2 Men's participation in decision making by background characteristics ....................... 606
Table 14.8 Women's participation in decision making by state/union territory ............................. 608
Table 14.9 Men's attitudes toward a wife's participation in decision making ................................ 610
Table 14.10 Men's attitudes toward a wife's participation in decision making by background ...... 611
Table 14.11 Women's access to money and credit ........................................................................... 613
Table 14.12 Women's access to money and credit and freedom of movement
Table 14.13 Women's freedom of movement by background characteristics .................................. 617
Table 14.14.1 Attitudes toward wife beating: Women ........................................................................ 619
Table 14.14.2 Attitudes toward wife beating: Men ............................................................................. 621
Table 14.15 Attitudes toward wife beating by state/union territory ................................................. 624
Table 14.16.1 Attitudes toward refusing sexual intercourse with husband: Women .......................... 626
Table 14.16.2 Attitudes toward refusing sexual intercourse with husband: Men ................................ 628
Table 14.17 Attitudes toward refusing sexual intercourse with husband
Table 14.18 Men's attitudes toward a husband's rights when his wife refuses
to have sexual intercourse ........................................................................................... 632
Table 14.19 Men's attitudes toward a husband's rights when his wife refuses
to have sexual intercourse by state/union territory ...................................................... 634
Table 14.20 Ability to negotiate sexual relations with husband ................................................... 635
Table 14.21 Ability to negotiate sexual relations with husband by state/union territory ........... 636
Table 14.22 Ownership of assets ...................................................................................................... 637
Table 14.23 Ownership of assets by state/union territory ................................................................ 639
Figure 14.1 Employment by Age..................................................................................................... 580

Figure 14.2 Control Over Women's Earnings .................................................................................. 581
Figure 14.3 Women's Participation in Decision Making ................................................................. 583
Figure 14.4 Attitudes toward Wife Beating ..................................................................................... 586
Figure 14.5 Ownership of Assets..................................................................................................... 588
Figure 14.6 Ownership of Financial Assets and Mobile Phone ....................................................... 589
CHAPTER 15 DOMESTIC VIOLENCE ......................................................................................... 641
Table 15.1 Experience of physical violence ................................................................................... 652

Table 15.2 Experience of violence during pregnancy .................................................................... 654
Table 15.3 Persons committing physical violence ......................................................................... 655
Table 15.4 Experience of sexual violence ...................................................................................... 656
Table 15.5 Age at first experience of sexual violence .................................................................... 657
Table 15.6 Persons committing sexual violence ............................................................................ 658
Table 15.7 Experience of different types of violence ..................................................................... 659
Table 15.8 Degree of marital control exercised by husbands ......................................................... 661
Table 15.9 Forms of spousal violence ............................................................................................ 664
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Table 15.10 Violence by any husband in the past 12 months .......................................................... 665
Table 15.11 Spousal violence by background characteristics .......................................................... 666
Table 15.12 Spousal violence by husband's characteristics and empowerment indicators ............. 668
Table 15.13 Spousal violence by state/union territory ..................................................................... 670
Table 15.14 Experience of spousal violence by duration of marriage.............................................. 671
Table 15.15 Injuries to women due to spousal violence................................................................... 672
Table 15.16 Violence by women against their husband ................................................................... 673
Table 15.17 Help seeking ................................................................................................................. 675
Table 15.18 Sources from where help was sought ........................................................................... 677
Figure 15.1 Violence during Pregnancy by Level of Schooling ...................................................... 641

Figure 15.2 Women's Experience of Violence by Marital Status .................................................... 642
Figure 15.3 Types of Spousal Violence ........................................................................................... 644
Figure 15.4 Spousal Violence by Husband's Alcohol consumption ................................................ 645
Figure 15.5 Spousal Violence by State/UT ..................................................................................... 646
Figure 15.6 Help Seeking by Type of Violence Experienced.......................................................... 648
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ACKNOWLEDGEMENTS
The National Family Health Survey (NFHS-5) was successfully completed in 707 districts (as on March 2017)
drawn from all the 29 States and 7 Union Territories. The national report of the National Family Health Survey
(NFHS-5) has been completed with joint efforts and involvement of numerous organizations and individuals in
two phases, including the phase of a difficult period of COVID-19 pandemics. With the completion of the
national report of NFHS-5, the unit-level data will be available for the use of the researchers and policy planners.
At the outset, we are grateful to the officials of the Ministry of Health and Family Welfare, Government of India,
New Delhi, for their overall guidance and support. I express our sincere thanks to Shri. Rajesh Bhushan,
Secretary of Health and Family Welfare, Shri Vikas Sheel, AS&MD, Ashish Srivastava AS&FA, Smt. Sandhya
Krishnamurthy DG(Stats.), Shri P Manoj Kumar CD (Stats.), and Ms. Nidhi Satija JD (Stats.). The involvement
of many former officials of the MoHFW helped significantly towards the completion of the survey on time. They
include Preeti Sudan former Secretary, Ms. Vandana Gurnani, former AS&MD, Dr. D. S. Gangwar, former
AS&FA, Smt Nivedita Gupta, former CD(Stats.), Shir D.K. Ojha, former DDG (Stats.)
I express our sincere gratitude to all the Steering Committee, Administrative & Financial Management
Committee, Project Management Committee, and the Technical Advisory Committee, especially the
Chairperson, Dr. N.S. Sastry and Co-Chair, Dr. Arvind Pandey for their contribution and for providing valuable
guidance at different stages of implementation. The members of these committees provided constant guidance
in carrying out the task even during the pandemic.
I deeply appreciate the efforts of all the Principal Investigators (Prof. S. K. Singh, Prof. Hemkothang Lhungdim,
Prof. Chander Shekhar, Prof. Laxmi Kant Dwivedi, and Dr. Sarang Pedgaonkar) at IIPS for their dedication,
enthusiasm and unstinting efforts in bringing out the national report on time. Prof Balram Paswan (Rtd) was
actively involved in the project in the early stages. I appreciate and acknowledge the untiring efforts and initiative
taken by Dr. Fred Arnold, Dr. Sunita Kishor, and other staff members/consultants of ICF at every stage of the
project. We also acknowledge the contribution of NFHS-5 Senior Project Officers, Project Officers, and other
staff members for their constant support. The administrative staff at IIPS provided support at all stages of the
project.
I sincerely thank the Heads and staff of Field Agencies (FAs) for successfully carrying out the task of data
collection in their respective states. This acknowledgment cannot be completed without expressing our
appreciation for the hard work put in by the field teams in data collection and maintaining the quality of data.
(Prof. K S JAMES)
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INTRODUCTION 1
T
he National Family Health Survey 2019-21 (NFHS-5), the fifth in the NFHS series, provides information on
population, health, and nutrition for India, each state/union territory (UT), and for 707 districts as on March
31st 2017. All five NFHS surveys have been conducted under the stewardship of the Ministry of Health and
Family Welfare (MoHFW), Government of India. MoHFW designated the International Institute for Population
Sciences (IIPS), Mumbai, as the nodal agency for all the rounds of NFHS. Funding for NFHS-5 was provided by the
MoHFW, Government of India. ICF, USA provided technical assistance through the Demographic and Health
Surveys (DHS) Program, which is funded by USAID. Assistance for the Dried Blood Sample (DBS) component of
the survey was provided by the Indian Council of Medical Research (ICMR) and the National AIDS Research
Institute (NARI), Pune. NFHS-5 fieldwork for India was conducted in two phases— Phase-I from 17 June 2019 to
30 January 2020 covering 17 states and 5 UTs and Phase-II from 2 January 2020 to 30 April 2021 covering 11 states
and 3 UTs — by 17 Field Agencies and gathered information from 636,699 households, 724,115 women, and 101,839
men.
The first NFHS was conducted in 1992-93 and covered all states except Sikkim. NFHS-2 was conducted in 1998-99
in all states with similar content and methods to those in NFHS-1. In addition, NFHS-2 provided information on
reproductive health, women’s autonomy, and domestic violence, women’s and children’s nutrition, anaemia, and salt
iodization. NFHS-3 built on the strengths and successes of NFHS-1 and NFHS-2 by maintaining continuity in content
and methods with an additional component of community-based HIV testing in the country. It also included a men’s
interview for the first time. With additional components of CAB (clinical, anthropometric, and biochemical testing),
NFHS-4 has contents similar to NFHS-3, maintaining the continuity and comparability in information. However,
NFHS-4 provided information at the district level through increasing the sample size by nearly fivefold as compared
with NFHS 3. NFHS-4 used a modular approach, where the last four sections of woman’s questionnaire, interviews
with men, and HIV testing were done only for the households included in the state module, and the information is
provided only at the state level for those indicators.
Like NFHS-4, NFHS-5 also provides district-level estimates for many important indicators. The contents of NFHS-
5 are similar to NFHS-4 to allow comparisons over time. However, NFHS-5 includes some new topics, such as
preschool education, disability, access to a toilet facility, death registration, bathing practices during menstruation,
and methods and reasons for abortion. The scope of clinical, anthropometric, and biochemical testing (CAB) has also
been expanded to include measurement of waist and hip circumferences, and the age range for the measurement of
blood pressure and blood glucose has been expanded. However, HIV testing was not included in NFHS-5. The NFHS-
5 sample was designed to provide national, state/union territory (UT), and district level estimates of various indicators
covered in the survey. However, estimates of indicators of sexual behaviour; husband’s background and woman’s
work; HIV/AIDS knowledge, attitudes, and behaviour; and domestic violence are available only at the state/union
territory (UT) and national level.
As in the earlier rounds, the MoHFW, Government of India, designated the International Institute for Population
Sciences, Mumbai, as the nodal agency to conduct NFHS-5. The main objective of each successive round of the
NFHS has been to provide high-quality data on health and family welfare and emerging issues in this area. NFHS-5
data will be useful in setting benchmarks and examining the progress the health sector has made over time. Besides
providing evidence for the effectiveness of ongoing programmes, the data from NFHS-5 help in identifying the need
for new programmes with an area specific focus and identifying groups that are most in need of essential services.
1
1.1 SURVEY OBJECTIVES
The primary objective of the 2019-21 round of National Family Health Surveys is to provide essential data on health
and family welfare, as well as data on emerging issues in these areas, such as levels of fertility, infant and child
mortality, maternal and child health, and other health and family welfare indicators by background characteristics at
the national and state levels. Similar to NFHS-4, NFHS-5 also provides information on several emerging issues
including perinatal mortality, high-risk sexual behaviour, safe injections, tuberculosis, non-communicable diseases,
and the use of emergency contraception.
The information collected through NFHS-5 is intended to assist policymakers and programme managers in setting
benchmarks and examining progress over time in India’s health sector. Besides providing evidence on the
effectiveness of ongoing programmes, NFHS-5 data will help to identify the need for new programmes in specific
health areas.
The clinical, anthropometric, and biochemical (CAB) component of NFHS-5 is designed to provide vital estimates
of the prevalence of malnutrition, anaemia, hypertension, high blood glucose levels, and waist and hip circumference,
Vitamin D3, HbA1c, and malaria parasites through a series of biomarker tests and measurements.
1.2 SAMPLE DESIGN

Decisions about the overall sample size required for NFHS-5 were guided by several considerations, paramount
among which was the need to produce indicators at the district and/or state/union territory (UT) levels. Thus, NFHS-
5 provides information for 707 districts, 28 states, and 8 union territories.
A uniform sample design, which is representative at the national, state/union territory, and district level, was
adopted in each round of the survey. Each district is stratified into urban and rural areas. Each rural stratum is sub-
stratified into smaller substrata which are created considering the village population and the percentage of the
population belonging to scheduled castes and scheduled tribes (SC/ST). Within each explicit rural sampling stratum,
a sample of villages was selected as Primary Sampling Units (PSUs); before the PSU selection, PSUs were sorted
according to the literacy rate of women age 6+ years. Within each urban sampling stratum, a sample of Census
Enumeration Blocks (CEBs) was selected as PSUs. Before the PSU selection, PSUs were sorted according to the
percentage of SC/ST population. In the second stage of selection, a fixed number of 22 households per cluster was
selected with an equal probability systematic selection from a newly created list of households in the selected PSUs.
The list of households was created as a result of the mapping and household listing operation conducted in
each selected PSU before the household selection in the second stage. In all, 30,456 Primary Sampling Units (PSUs)
were selected across the country in NFHS-5 drawn from 707 districts as on March 31st 2017, of which fieldwork was
completed in 30,198 PSUs.
NFHS-5 was designed to provide information on sexual behaviour; husband’s background and women’s work;
HIV/AIDS knowledge, attitudes, and behaviour; and domestic violence only at the state level (in the state module),
while indicators in the district module are reported at the district level. A subsample of 15 percent of households was
selected for the implementation of the state module drawn from the district sample. In 15 percent of households
randomly selected for the state module, a long questionnaire was administered that included all the questions needed
for district-level estimates plus additional questions for the topics listed above. To achieve a representative sample
of 15 percent of households, NFHS-5 conducted interviews in every alternate selected household in 30 percent of the
randomly selected clusters.
The NFHS-5 sample is a stratified two-stage sample. The 2011 census served as the sampling frame for the selection
of PSUs. PSUs were villages in rural areas and Census Enumeration Blocks (CEBs) in urban areas. PSUs with fewer
than 40 households were linked to the nearest PSU. Within each rural stratum, villages were selected from the
sampling frame with probability proportional to size (PPS). In each stratum, six approximately equal substrata were
created by crossing three substrata, each created based on the estimated number of households in each village, with
2
two substrata, each created based on the percentage of the population belonging to scheduled castes and scheduled
tribes (SCs/STs). Within each explicit sampling stratum, PSUs were sorted according to the prevalence of literacy of
women age 6+ years. The final sample PSUs were selected with PPS systematic sampling.
In urban areas, CEB information was obtained from the Office of the Registrar General and Census Commissioner,
New Delhi. CEBs were sorted according to the percentage of the SC/ST population in each CEB, and sample CEBs
were selected with PPS systematic sampling.
In every selected rural and urban PSU, a complete household mapping and listing operation was conducted prior to
the main survey. Selected PSUs with an estimated number of at least 300 households were segmented into segments
of approximately 100-150 households. Two of the segments were randomly selected for the survey using systematic
sampling with probability proportional to segment size. Therefore, an NFHS-5 cluster is either a PSU or a segment
of a PSU. In the second stage, in every selected rural and urban cluster, 22 households were randomly selected with
systematic sampling. A detailed description of sampling design, weight computation, estimation of standard errors,
and strategies to enhance data quality measures is presented in Volume II of the national report.
1.3 QUESTIONNAIRES
Four survey schedules/questionnaires—Household, Woman, Man, and Biomarker—were canvassed in 18 local
languages using Computer Assisted Personal Interviewing (CAPI). In the Household Questionnaire, information was
collected on all usual members of the household and visitors who stayed in the household the night before the
interview. Basic demographic information was collected on the characteristics of each person listed, such as age, sex,
marital status, schooling, ownership of an Aadhaar card, tobacco use, alcohol consumption, disabilities, and
relationship to the head of the household. At the household level, information was collected on socio-economic
characteristics; water, sanitation, and hygiene; water treatment; type of toilet facilities; type of cooking fuel; materials
used for the floor, roof, and walls of the dwelling unit; ownership of various durable goods; health insurance coverage;
land ownership; number of deaths in the household in the two years preceding the survey; and the ownership and use
of mosquito nets. The parents’ survival status was determined for children under age 18. For children under age five,
information was collected on whether each child has a birth certificate or whether the birth was registered with the
civil authority. The information on age and sex of household members obtained in the Household Questionnaire was
used to identify women and men who were eligible for individual interviews. The Household Questionnaire also
collected information on the ownership and use of mosquito nets, exposure to second-hand smoke, and the reported
prevalence of tuberculosis. A sample of cooking salt used in the household was tested for iodine content. The protocol
for the NFHS-5 survey, including the content of all the survey questionnaires, was approved by the IIPS Institutional
Review Board and the ICF Institutional Review Board. The protocol was also reviewed by the U.S. Centers for
Disease Control and Prevention (CDC).
The Woman’s Questionnaire collected information from all eligible women age 15-49, who were asked questions on
a large variety of topics, including the following:
 Background characteristics: age, literacy, schooling, religion, caste/tribe, media exposure

 Reproduction: children ever born, birth history, current pregnancy, pregnancy terminations
 Prevalence of hysterectomy
 Menstrual hygiene (for women age 15-24 years)
 Family planning: knowledge and use of contraception, sources of contraceptive methods, information on
family planning
 Contacts with community health workers
 Maternal and child health, breastfeeding, and nutrition: antenatal care; delivery care; postnatal care;
postpartum amenorrhoea; breastfeeding and child feeding practices; vaccination coverage; prevalence and
treatment of diarrhoea: symptoms of acute respiratory infection (ARI), and fever; use of oral rehydration
therapy (ORT); utilization of ICDS services
3
 Marriage and sexual activity: marital status, age at first marriage, lifetime number of unions, polygyny,
consanguinity, age at first sexual intercourse, recent sexual activity, number and type of sexual partners, use
of condoms
 Fertility preferences: desire for more children, ideal number of children, gender preferences for children,
intention to use family planning
 Husband’s background and woman’s work: husband’s age, schooling, and occupation, and the woman’s
employment and type of earnings (state module subsample only)
 Women’s empowerment: household decision making, mobility, use of a bank account and a mobile phone,
ownership of a house or land, barriers to medical treatment (state module subsample only)
 HIV/AIDS: knowledge of HIV and AIDS, knowledge of methods of HIV transmission, sources of HIV
information, ways to avoid HIV, previous HIV testing, HIV stigma, other sexually-transmitted infections
(state module subsample only)
 Other health issues: tobacco and alcohol use, knowledge of tuberculosis, current morbidity (diabetes,
hypertension, asthma, goitre and other thyroid diseases, heart disease, cancer), and household decision
making (state module subsample only)
 Domestic violence: only one eligible woman per household was randomly selected to answer the questions
in the domestic violence section to comply with ethical requirements. Women who were victims of domestic
violence were provided with a list of appropriate local organizations that they could contact if they wanted
help (women age 18-49 in the state module subsample only)
The Man’s Questionnaire was administered only in the subsample of households selected for the state module. The
Man’s Schedule covered the man’s characteristics, media exposure, marriage, employment, presence at antenatal care
visits, number of children, contraceptive knowledge and use, fertility preferences, nutrition, sexual behaviour,
attitudes toward gender roles, HIV/AIDS, health issues, attitudes towards gender roles, tobacco and alcohol use,
knowledge of tuberculosis, current morbidity (diabetes, asthma, goitre and other thyroid diseases, heart disease,
cancer), and household decision making.
The Biomarker Schedule covered measurements of height, weight, and haemoglobin levels for children;
measurements of height, weight, waist and hip circumference, and haemoglobin levels for women age 15-49 years
and men age 15-54 years; and blood pressure and random blood glucose levels for women and men age 15 years and
over. In addition, women and men were requested to provide a few additional drops of blood from a finger prick for
laboratory testing for HbA1c, malaria parasites, and Vitamin D3.
In contrast to the data collection procedure for the household and individual interviews, data related to the biomarkers
were initially recorded on the Biomarker Questionnaire and subsequently entered into the interviewers’ mini-
computers. Sample copies of all four questionnaires are presented in Volume – II of the national report.
1.4 BIOMARKER MEASUREMENTS AND TESTS

NFHS-5 carried out several biomarker measurements and tests with the help of trained health investigators in each
team. The list of biomarkers and tests administered for NFHS-5 along with the type of instrument used are presented
in the box below.
Except for HbA1c, malaria parasites, and Vitamin D3 testing, the results of all measurements and tests were
immediately given to the respondents (or a parent or other adult responsible for children) in the field, along with
information brochures. The results were explained to respondents by the specially trained health investigators who
conducted the tests. All women and men who were eligible for HbA1c, malaria parasites, and Vitamin D3 testing
were given a referral card.
4
Details of Biomarker Measurements and Tests
Eligible age group Type of Investigation Instrument Used
Children 0-59 months Weight Seca 874 Digital Scale (Weight)

Length/Height
Seca 213 Stadiometer (Height)
Seca 417 Infantometer (Length) (for children
less than 2 years old or less than 85 cm)
Children 6-59 months Haemoglobin HemoCue Hb 201+ Analyser (Haemoglobin)
Women age 15-49 and Height Seca 874 Digital Scale (Weight)
Men age 15-54 Weight
Seca 213 Stadiometer (Height)
Waist and Hip Circumference
Haemoglobin Gulick tape (Waist and Hip Circumference)
HemoCue Hb 201+ Analyser (Haemoglobin)
Women and Men age 15 and over Blood Glucose Accu-Chek Performa Glucometer (Blood
Blood Pressure Glucose)
Omron Blood Pressure Monitor (Blood Pressure)
Women and Men age 15 and over HbA1c Dried Blood Spot (DBS) on Filter Paper Card
(subsample) Vitamin D3
Malaria parasites
Anthropometry: Height and weight were measured for children age 0-59 months, women age 15-49, and (in the
state module subsample of households only) men age 15-54. The Seca 874 digital scale was used to measure the
weight of children and adults. The height of adults and children age 24-59 months was measured with the Seca 213
stadiometer. The Seca 417 infantometer was used to measure the recumbent length of children under two years or
less than 85 cm. As per World Health Organization (WHO) guidelines, waist circumference (WC), waist-hip ratio
(WHR) and waist-to-height ratio (WHtR) have been found to be appropriate measurements of abdominal obesity.
For the first time, NFHS-5 included waist and hip circumference measurements provided by using Gulick tapes for
both eligible women and men for measurements of abdominal obesity.
Anaemia testing: Blood specimens for anaemia testing were collected by health investigators from eligible women
age 15-49, men age 15-54 (in the state module subsample of households), and children age 6-59 months. Consent for
the test was taken from eligible women and men. For children age 6-59 months, consent was obtained from a parent
or an adult responsible for the child. Blood samples were drawn from a drop of blood taken from a finger prick (or a
heel prick for children age 6-11 months) and collected in a microcuvette. Haemoglobin analysis was conducted on-
site with a battery-operated portable HemoCue Hb 201+ analyser. Respondents found to have severe anaemia if the
haemoglobin level is below 7 grams/decilitre (g/dl) for women, men, and children and if the haemoglobin level is
below 9 g/dl for pregnant women were referred to a health facility for further evaluation and treatment.
Blood glucose testing: Random blood glucose was measured using a finger-stick blood specimen for all women and
men age 15 and above using the Accu-Chek Performa glucometer with glucose test strips for blood glucose testing.
A referral form to a health facility for additional medical evaluation was provided for any respondent with a random
blood glucose level ≥200 mg/dl. The results of blood glucose display on an LCD digital screen within five second
and were given to respondents on a health card immediately after the test was completed. The health investigator
5
described to the respondent the meaning of the results and advised the respondent if a referral to a medical centre is
necessary.
Blood pressure measurement: Blood pressure was measured for all women and men age 15 and above using an
Omron Blood Pressure Monitor to determine the prevalence of hypertension. Blood pressure measurements for each
respondent were taken three times with an interval of five minutes between readings. Respondents whose average
systolic blood pressure (SBP) was >130 mm Hg and/or whose average diastolic blood pressure (DBP) was >85 mm
Hg were considered to have elevated blood pressure readings and they were encouraged to see a doctor for a full
evaluation.
Dried Blood Spot (DBS) collection for HbA1c, malaria parasites and drug resistance, and Vitamin D3:
DBS were collected from a subsample of households on specially designed filter paper cards from eligible
respondents for various biomarkers. The various DBS based tests considered under NFHS-5 include:
Malaria parasites and drug resistance: Diagnosis of symptomatic and asymptomatic malaria (Plasmodium species
like P. falciparum, P. vivax, P. malariae, P. ovale, and P. knowlesi) is important. Also, there is a need to detect markers
of antimalarial drug resistance—specific molecular markers in the plasmodium DNA and hrp2 deletions in the
malaria parasites (if present). Most malaria is being reported from states in the eastern, central and north-eastern parts
of the country, such as Odisha, Chhattisgarh, Jharkhand, Madhya Pradesh, Tripura, and Meghalaya. To test for
malaria, dried blood spots (DBS) were collected. In a random subsample of households, health investigators collected
finger-prick blood specimens from eligible women age 15-49 and men age 15-54 who consented to laboratory malaria
testing.
HbA1c Testing: Glycosylated haemoglobin is a parameter to provide information on the status of diabetes control
at the population level among diabetes patients. The testing results also provide useful information on diabetes
management strategies and guide policymakers in programme planning. In a random subsample of households,
health investigators collected finger-prick blood specimens on a filter paper card from eligible women age 15-49
and men age 15-54 who consented to laboratory HbA1c testing.
Vitamin D3: The reported prevalence of Vitamin D3 deficiency is about 50-70% in India. Osteopenia and
osteoporosis are common among India adults. Patients with chronic kidney diseases (CKD) may also present with
bone disorders before or after developing kidney diseases. They may have osteoporosis and Vitamin D deficiency.
Hence, determination of Vitamin D3 levels is of major importance. To test for vitamin D3 deficiency, DBS were
collected. In a random subsample of households, health investigators collected finger-prick blood specimens on a
filter paper card from eligible women age 15-49 and men age 15-54 who consented to laboratory Vitamin D3 testing.
The results of these tests will be published in a separate report.
1.5 PRETEST
The pretest was conducted during November-December 2017, and training of investigators for the pretest was held
at the International Institute for Population Sciences (IIPS), Mumbai. The pretest fieldwork was conducted in five
enumeration areas (4 rural, 1 urban) in and around Thane Taluka that had not been selected for the main survey. The
pretest was conducted in Hindi speaking areas of Thane district followed by a debriefing session for the field teams.
In all, 38 interviewers and 11 health investigators participated in the training. The pretest field practice covered 95
household interviews, 107 woman’s interviews, and 59 man’s interviews. Biomarkers measurements and testing were
conducted on 50 children and 126 adults.
6
1.6 TRAINING OF FIELD STAFF
Training was conducted in a tiered fashion. For each of the two fieldwork phases, a Training of Trainers (ToT) course
was conducted by IIPS, Mumbai, and ICF. The ToT for the 19 states and union territories (UTs) included in the first
phase was conducted in Goa from 22 April to 12 May, 2019. The ToT for the remaining 17 states and UTs was
conducted from October 5-24, 2019 in Chandigarh. The trainees in both ToT workshops included project
coordinators, health coordinators, statisticians/demographers, and information technology coordinators from the
Field Agencies, and Project Officers/Senior Project Officers from IIPS. The coordinators from Field Agencies were
responsible for training fieldworkers at the state/UT level.
1.7 FIELDWORK
NFHS-5 fieldwork for India was conducted in two phases (phase one from 17 June 2019 to 30 January 2020 and
phase two from 2 January 2020 to 30 April 2021) by 17 Field Agencies. NFHS-5 gathered information from 636,699
households, 724,115 women, and 101,839 men. Data collection was conducted by using 1,061 field teams. Each team
consisted of one field supervisor, three female interviewers, one male interviewer, two health investigators, and a
driver. The number of interviewing teams in each state varied according to the sample size. In each state, interviewers
were hired by the selected Field Agencies, taking into consideration their educational background, experience, and
other relevant qualifications. Female and male interviewers were assigned to interview respondents of the same sex.
The assignment of Primary Sampling Units (PSUs) to the teams and various logistical decisions were made by the
survey coordinators from each Field Agency. Each interviewer was required to make a minimum of three callbacks
if no suitable informant was available for the household interview or if an eligible woman or man in the household
was not present at the time of the interviewer’s visit.
The field supervisor was responsible for the overall management of the field teams. In addition, the field supervisor
conducted spot-checks to verify the accuracy of key information, particularly with respect to the eligibility of
respondents. IIPS also appointed one or more project officers or senior project officers in each state for monitoring
and supervision throughout the training and fieldwork period to ensure that correct survey procedures were followed
and that data quality was maintained. Project directors and other senior staff from the Field Agencies, the Principal
Investigators from IIPS, officials from MoHFW, and technical consultants from The DHS Program at ICF also visited
the field sites to monitor data collection operations.
1.8 STRATEGY TO ENSURE DATA QUALITY

Due to the size and complexity of the NFHS-5 survey, considerable thought went into devising strategies to minimize
the non-sampling errors and ensure data quality. Some of the procedures adopted are summarized below.
 NFHS-5 was conducted in two phases to make the administration of the training and fieldwork more
manageable.
 In the states included in each phase, fieldwork was conducted in a group of five adjacent districts at a time to
facilitate close monitoring and supervision of the training of field staff and the implementation of the fieldwork.
 To maintain uniform procedures across the states, several comprehensive manuals were prepared, including a
Supervisor’s Manual, an Interviewer’s Manual, a Health Investigator’s Manual, a Household Mapping and
Listing Manual, Data Processing Guidelines, and Training Guidelines.
 There were multiple levels of monitoring and supervision of the fieldwork, including monitoring by district
coordinators from the Field Agencies; monitoring by senior staff from the state offices of the Field Agencies;
positioning two IIPS project officers with each Field Agency for the entire duration of the survey, in addition
to monitoring and supervision by senior project officers, project coordinators, IIPS faculty coordinators, staff
and consultants from ICF, and representatives from the development partners and the Ministry of Health and
7
Family Welfare, Government of India. Immediate corrective measures were taken in case there were any
deviations from the survey protocols.
 The field supervisor on each interviewing team was required to observe interviews in a subsample of
households and to conduct back-checks with respondents as a further check on the quality of the fieldwork.
 Use of computer assisted personal interviewing (CAPI) and the transfer of field data to IIPS on a daily basis
were instrumental in remotely monitoring progress of the field teams. Use of CAPI also enabled IIPS and ICF
to run extensive data quality checks on the data from the field and to provide real-time feedback to Field
Agencies and teams to help improve data quality. A standard set of 44 field-check tables (FCTs) were produced
frequently throughout the fieldwork, covering such topics as response rates, age heaping and age displacement,
completeness of reporting, sex ratios for children, patterns of height/length and weight measurements, and the
contraceptive prevalence rate. (Please refer to the data collection flow chart below).
Figure 1.1 Data Collection System
IIPS FA & ICF
Central Office
Supervisors
Interviewers
8
Figure 1.2 Communication Scenario: Data Collection
IIPS FA & ICF
1. Assign PSU to Central Office

a field team 7. Run reports,
6. Send data for discuss data
completed cluster quality issues
Supervisors
2. Assign HHs to
interviewers
5. Run reports,
provide feedback
3. Complete HH on data quality
interview and
possibly share 4. Send the
data day’s data to
supervisor
Interviewers
 The CAPI program used in NFHS has an inbuilt feature to select the appropriate language for the interviews
from multiple regional languages. Control and management of fieldwork across the country is arranged from
the central office by allotment of work to each of more than 500 teams working and accessing their progress
on a real-time basis. An inbuilt algorithm in the CAPI program automatically handles skip patterns, filters,
and eligibility for questionnaires and sections. The provision of synchronizing data from the interviewer’s
CAPI instrument to the supervisor’s CAPI instrument provides an opportunity for back-checking information
to improve data quality. An inbuilt mechanism partially saves incomplete questionnaires to provide
opportunities to complete the interview in multiple sessions and minimize respondent’s fatigue. Use of
SyncCloud Technology improves the data synchronization from the supervisor’s CAPI instrument to the
Central Office, which gives access to real-time data from any device or computer. The CAPI programs help
in generating field-check tables on key indicators on a daily basis which are reviewed by the Quality
Assurance Team in the central office to allow individual level feedback to be communicated back to the teams
working across different parts of the country.
 NFHS assigns a unique code to each investigator within a state, which helps in tracking the progress and
performance of the investigator after individual level feedback is provided.
 Protocols for fieldwork implementation and monitoring are laid down for the smooth execution of the
fieldwork. Also, rigorous procedures to check data quality are conducted throughout the course of the
fieldwork. These include back-checks of the questionnaires in the field, and the frequent examination of an
extensive set of field-check tables to detect systematic errors at the level of the interviewing teams and
individual interviewers. Any problems that are detected by the field-check tables can be immediately relayed
back to the Field Agencies to be addressed in a timely fashion.
 To ensure uniformity in the implementation of the fieldwork protocols in every state, a centrally-organized
Training of Trainers’ Workshop of four weeks duration was conducted in each phase. Four persons from each
9
Field Agency participated in the workshop (two social scientists, one IT specialist, and one health coordinator).
These trained persons were responsible for organizing the state-level training programmes in local and regional
languages, for a minimum of four weeks’ duration, which were supported and supervised by IIPS and ICF.
 To ensure that biomarker tests were conducted properly in a uniform manner, training videos in English and
Hindi were produced to indicate the correct procedures for conducting height/length and weight measurements
and to demonstrate in detail how to conduct anaemia and blood glucose testing and how to collect blood
samples on filter paper cards.
 The protocols used for collection of CAB data have been developed as per international standards which allow
comparability with other DHS surveys.
 NFHS-5 used standard, self-calibrating equipment having the latest technologies to ensure minimum
instrument errors. The equipment used in the survey is also standardized periodically to ensure the accuracy
and consistency of the measurements.
 For the first time in NFHS-5 (2019-21), there was a provision for generating error messages to ensure internal
inconsistency in the data with a condition of immediate corrections. IIPS and ICF have developed and
implemented this application to reduce the burden of secondary editing after completion of data collection.
This application has been designed so that any inconsistencies in the responses of a completed interview will
be highlighted. The team supervisor may ask the interviewer about the inconsistencies and make the necessary
corrections. The interviewer may revisit the respondent if required for any clarification of those issues. Hence,
the error messages turned out to be a handy tool to ensure data quality in NFHS-5 before the survey team left
the completed PSU.
 It is worth mentioning that back-checks are an integral part of the quality control mechanism adopted in all the
large-scale surveys. However, there are two questions generally raised on the issue of back-checks. First, how
households should be selected to revisit. and second, how to incorporate the changes if required. To address
these issues, NFHS-5 developed and used an algorithm called the Project Officer’s Query Report (POQR) on
the Supervisor’s CAPI instrument. Once the data collection is completed in a PSU and data are synchronized
on the supervisor’s CAPI instrument, the IIPS project officer, using a specific login and password, can run the
query tool to view a list of households having some potential gaps and inconsistencies in the information. After
running POQR, the IIPS PO revisits the household and backchecks the information, maintaining gender
sensitivity. Thus, the application of POQR in NFHS-5 has helped in reviewing a subsample of interviewed
households to ensure accuracy and reliability of the information, and if there is any problem, to go back to the
interviewer’s CAPI instrument to correct that information before resynchronizing the data on the supervisor’s
CAPI instrument.
 NFHS-5 has developed a protocol of accessing real-time data daily using the SyncCloud data streaming system.
Continuous evaluation of data through field-check tables and regular feedback to field teams avoids errors and
improves the quality of the data. The CAPI programs help in generating field-check tables on key indicators
daily, which are reviewed by the Quality Assurance Team (QAT) in the central office to allow individual-level
feedback to be communicated to the teams working in different parts of the country. A total of 51 indicators
were developed as part of the FCTs covering various aspects of data quality, including response rates, age
displacement, birth displacement, and skips associated with multiple questions. These FCTs were used to
provide feedback on data quality. Moreover, online interactions with the core team of the Field Agency (FA)
and the IIPS field POs once in every two weeks were arranged by the members of the quality assurance unit in
10
the NFHS-5 office at IIPS. All these innovative measures have made a significant contribution in tracking and
monitoring the daily field operations of NFHS-5, particularly to boost the morale of underperforming
teams/interviewers and to motivate them by comparing their performance with the performance of other teams.
Taking the COVID-19 situation into account, with the restart of the survey, several protective measures were taken
into consideration for survey teams and respondents to prevent COVID-19 infection. Some of these measures were:
 All core team members and survey teams were mandated to install the Aarogya Setu App on their phones
and check their COVID status every day before leaving for the field.
 Team members were advised to eat or drink alone with proper social distancing among them and maintaining
all the practices for personal hygiene.
 Physical distancing was instructed to maintain during the interview ensuring privacy and confidentiality.
 Teams were educated to check for the well-being of each team member every morning before leaving for
fieldwork with thermal screening, which was provided by IIPS. If any team member had developed
symptoms, the fieldwork for that team was stopped. It was restarted only if the member was found to be
COVID-19 negative.
 Contacting the Headman of the village/frontline workers to get the COVID-19 status of the selected
household members before the interviews were done.
 Thermal screening of community people who were willing to be screened by Health Investigators of the
survey team on the first day of the visit was carried out while distributing specially designed leaflets to the
community members as a part of COVID-19 awareness.
 NFHS made provisions of providing masks, sanitizers, and COVID-19 brochures to all the selected
households.
 Each respondent was instructed to give a new mask during the interview and CAB investigations.
Compulsory thermal screening was conducted of all the members of the selected households. If anyone had
a fever, that household was not allowed to be interviewed. A revisit was done for the reassessment of their
status over the next three or four days.
 The team members were obliged to wear a mask during fieldwork. Additional protective equipment like face
shields, aprons, and goggles was encouraged. Updated guidelines from the government were adopted from
time to time. The team members were directed to use sanitizer/soap and water to clean their hands frequently
during fieldwork, preferably at the beginning and end of each interview.
 The CAB investigations were done with minimum contact with the respondents. The protocol of using a new
set of gloves for each respondent and disposal of bio-hazardous waste daily was to be strictly adhered to.
 The CAB equipment was mandated to be cleaned after the end of interviews in each household. If the
household had any member practicing isolation (very young or old members, and for whom the respondents
demand), equipment was cleaned before use for that member.
 The CAPI instrument was mandated to be cleaned after every interview.
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1.9 DATA PROCESSING
Electronic data collected in the 2019-21 National Family Health Survey were received on a daily basis via the
SyncCloud system at the International Institute for Population Sciences, where the data were stored on a password-
protected computer. Secondary editing of the data, which required resolution of computer-identified inconsistencies
and coding of open-ended questions, was conducted in the field by the Field Agencies and at the Field Agencies
central office, and IIPS checked the secondary edits before the dataset was finalized.
Field-check tables were produced by IIPS and the Field Agencies on a regular basis to identify certain types of errors
that might have occurred in eliciting information and recording question responses. Information from the field-check
tables on the performance of each fieldwork team and individual investigator was promptly shared with the Field
Agencies during the fieldwork so that the performance of the teams could be improved, if required.
1.10 RESPONSE RATES

Table 1.1 shows response rates for the 2019-21 National Family Health Survey. A total of 664,972 households were
selected for the sample, of which 653,144 were occupied. Among the occupied households, 636,699 were
successfully interviewed, for a response rate of 98 percent.
In the interviewed households, 747,176 eligible women age 15-49 were identified for individual women’s interviews.
Interviews were completed with 724,115 women, for a response rate of 97 percent. In all, there were 111,179 eligible
men age 15-54 in households selected for the state module. Interviews were completed with 101,839 men, for a
response rate of 92 percent.
Table 1.2 shows response rates for each state and union territory. Overall, response rates are quite high. Household
response rates were over 95 percent in every state and union territory except Chandigarh (where the household
response rate was 88%) and Madhya Pradesh (where the household response rate was 94%). The response rate for
women was also 95 percent or higher in every state and union territory except in Chandigarh (where it was 81%). As
expected, the response rate for men was lower than the response rate for women in every state and union territory.
The response rate for men was particularly low in Chandigarh (63%).
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LIST OF TABLES
For more information on response rate, see the following tables:
Tables
1.1 Results of the household and individual interviews
1.2 Number of households, women, and men interviewed by state/union territory
13
Table 1.1 Results of the household and individual interviews
Number of households, number of interviews with women and men, and response rates,
according to residence, India, 2019-21
Residence
Result Urban Rural Total
Household interviews
Households selected 171,709 493,256 664,972
Households occupied 167,591 485,546 653,144
Households interviewed 160,138 476,561 636,699
Household response rate1 95.6 98.1 97.5
Interviews with women age 15-49

Number of eligible women 186,921 560,255 747,176
Number of eligible women interviewed 179,535 544,580 724,115
Eligible women response rate2 96.0 97.2 96.9
Interviews with men age 15-54

Number of eligible men 29,558 81,621 111,179
Number of eligible men interviewed 26,420 75,419 101,839
Eligible men response rate2 89.4 92.4 91.6
Note: Eligible women and men are women age 15-49 and men age 15-54 who stayed in the household
the night before the household interview (including both usual residents and visitors). This table is based
on the unweighted sample.
1
Households interviewed/households occupied
2
Respondents interviewed/eligible respondents
14
Table 1.2 Number of households, women, and men interviewed by state/union territory
Month and year of fieldwork, number of households, women, and men interviewed, and response rates by state/union territory, India,
2019-21
Start month End month and

and year of year of Households
fieldwork fieldwork interviewed Women interviewed Men interviewed
Response Response Response
State/union territory Month Year Month Year Number rate Number rate Number rate
India 6 2019 4 2021 636,699 97.5 724,115 96.9 101,839 91.6
North
Chandigarh 3 2021 4 2021 761 88.0 746 81.2 104 63.4
Delhi 1 2020 1 2021 9,486 95.2 11,159 94.6 1,700 84.2
Haryana 1 2020 4 2021 18,229 96.7 21,909 95.7 3,224 84.8
Himachal Pradesh 7 2019 11 2019 10,698 98.8 10,368 96.5 1,477 91.1
Jammu & Kashmir 7 2019 1 2020 18,086 98.7 23,037 96.6 3,087 88.1
Ladakh 8 2019 9 2019 1,818 99.2 2,355 97.7 307 92.7
Punjab 1 2020 3 2021 18,824 95.6 21,771 94.6 3,296 83.1
Rajasthan 1 2020 3 2021 31,817 98.1 42,990 97.5 6,353 94.1
Uttarakhand 1 2020 3 2021 12,169 97.3 13,280 94.9 1,586 85.2
Central
Chhattisgarh 1 2020 3 2021 24,550 98.8 28,468 97.0 4,174 94.1
Madhya Pradesh 1 2020 4 2021 43,552 93.7 48,410 94.9 7,025 88.0
Uttar Pradesh 12 2019 4 2021 70,710 97.3 93,124 96.3 12,043 88.6
East
Bihar 7 2019 2 2020 35,834 97.0 42,483 96.6 4,897 90.9
Jharkhand 1 2020 4 2021 22,863 97.3 26,495 97.5 3,414 92.1
Odisha 1 2020 3 2021 26,467 98.5 27,971 97.5 3,865 93.3
West Bengal 6 2019 11 2019 18,187 98.7 21,408 98.8 3,021 96.4
Northeast
Arunachal Pradesh 1 2020 4 2021 18,268 98.6 19,765 98.4 2,881 96.6
Assam 6 2019 12 2019 30,119 99.3 34,979 97.6 4,973 93.9
Manipur 7 2019 1 2020 7,881 98.1 8,042 97.0 1,162 93.0
Meghalaya 7 2019 11 2019 10,148 99.8 13,089 98.8 1,824 97.0
Mizoram 7 2019 11 2019 7,257 99.4 7,279 98.7 1,105 98.0
Nagaland 7 2019 12 2019 10,112 99.9 9,694 99.8 1,456 99.6
Sikkim 8 2019 12 2019 3,516 98.4 3,271 95.4 469 94.4
Tripura 7 2019 11 2019 7,209 98.3 7,314 97.2 990 93.2
West
Dadra & Nagar Haveli and
Daman & Diu 7 2019 11 2019 2,676 97.6 2,713 97.4 427 91.6
Goa 8 2019 11 2019 1,856 98.3 2,030 98.2 313 96.0
Gujarat 6 2019 11 2019 29,368 98.2 33,343 97.6 5,351 95.0
Maharashtra 6 2019 12 2019 31,643 97.1 33,755 97.3 5,497 94.7
Continued…
15
Table 1.2 Number of households, women, and men interviewed by state/union territory—Continued
Month and year of fieldwork, number of households, women, and men interviewed, and response rates by state/union territory, India,
2019-21
Start month End month

and year of and year of Households
fieldwork fieldwork interviewed Women interviewed Men interviewed
Response Response Response
State/union territory Month Year Month Year Number rate Number rate Number rate
South
Andaman & Nicobar Islands 10 2019 2 2020 2,624 97.3 2,397 97.8 367 94.3
Andhra Pradesh 7 2019 11 2019 11,346 96.9 10,975 97.4 1,558 92.2
Karnataka 7 2019 12 2019 26,574 97.4 30,455 97.6 4,516 93.8
Kerala 7 2019 12 2019 12,330 98.2 10,969 96.6 1,473 89.1
Lakshadweep 12 2019 1 2020 921 99.9 1,234 98.0 135 97.1
Puducherry 1 2020 3 2021 3,520 97.9 3,669 98.1 534 96.4
Tamil Nadu 1 2020 3 2021 27,929 97.3 25,650 98.3 3,372 94.9
Telangana 6 2019 11 2019 27,351 97.1 27,518 96.8 3,863 92.0
Note: This table is based on the unweighted sample; all subsequent tables are based on the weighted sample unless otherwise specified. The number of
women and men is based on the de facto population. The household response rate is defined as the number of households interviewed divided by the
number of occupied households. The response rates for women and men are the percentages of eligible women and men with completed interviews.
16
HOUSEHOLD POPULATION AND HOUSING
CHARACTERISTICS 2
Key Findings
 Drinking water: Ninety-six percent of households use an improved source of drinking water.
 Sanitation: Sixty-nine percent of households use an improved sanitation facility that is not shared
with other households and 8 percent use a facility that would be considered improved if it were not
shared. Nineteen percent of households have no facility, which means that the household members
practice open defecation.
 Access to sanitation: Eighty-three percent of households have access to a toilet facility.
 Electricity: Ninety-seven percent of households have electricity (95% of rural households and 99%
of urban households).
 Cooking fuel: Only fifty-nine percent of households use clean fuel for cooking.
 Age distribution: Twenty-seven percent of the population is under age 15, and 12 percent is age
60 years and above.
 Aadhaar card: Ninety percent of the household population have an Aadhaar card.
 Bank or post office account: Ninety-six percent of households have a bank or post office account.
 Birth registration: Eighty-nine percent of children under age five had their birth registered.
 Death registration: Seventy-one percent of deaths of usual household members were registered
with the civil authorities (83% of urban households and 66% of rural households).
 Orphans: Among children under age 18, 5 percent are orphans (one or both parents are dead)
and 3 percent are not living with a biological parent.
 Preschool attendance: Forty percent of boys and girls age 2-4 years attend preschool.
 School attendance: The net attendance ratio falls from 83 percent in primary school to 71 percent
in middle, secondary, and higher secondary school. The main reason given for not attending school
was that the child is not interested in studies (36% for male children and 21% for female children).
 Disability: Just 1 percent of the de jure household population have any disability. The most
prominent type of disability is locomotor (0.4%).
 Tobacco and alcohol use: Thirty-eight percent of men and 9 percent of women age 15 and over
currently use any tobacco products. Only 1 percent of women and 19 percent of men age 15 and
over currently drink alcohol.
 Household ownership of mosquito net: More than one-third of households (36%) in India have
at least one mosquito net, and 8 percent have at least one Insecticide Treated Mosquito Net (ITN).
I
nformation on the socioeconomic characteristics of the household population in the 2019-21 National Family Health
Survey (NFHS-5) provides a context for interpreting demographic and health indicators and an approximate
indication of the representativeness of the survey. In addition, this information describes the living conditions of the
population.
17
This chapter presents information on the sources of drinking water, sanitation, exposure to smoke inside the home,
household wealth, hand washing, composition of the household population, educational attainment, school attendance,
birth registration, children’s living arrangements, and parental survivorship, death registration, preschool education,
current use of tobacco and alcohol by the adult population, and possession of mosquito nets.
2.1 DRINKING WATER SOURCES AND TREATMENT
Improved sources of drinking water

Include piped water, public taps, standpipes, tube wells, boreholes, protected
dug wells and springs, rainwater, tanker truck, cart with small tank, bottled water,
and community reverse osmosis (RO) plants.
Sample: Households
In India, almost all urban households (99%) and rural households (95%) have access to an improved source of drinking
water (Table 2.1). Improved sources of water protect against outside contamination so that the water is more likely to be
safe to drink.
Urban and rural households rely on different sources of drinking water. The main sources of drinking water for urban
households are water piped into their dwelling, yard, or plot (54%), tube wells or boreholes (16%), and public taps or
standpipes (12%) (Table 2.1 and Figure 2.1). In contrast, rural households rely most on tube wells or boreholes (46%),
followed by water piped into their dwelling, yard, or plot (23%). In rural areas, 68 percent of households have water on
their premises or delivered to their dwelling, compared with 86 percent in urban areas. In households where water is not
delivered or the source of water is not at the premises, women age 15 years and above are most likely to collect drinking
water (71%).
Figure 2.1 Household Drinking Water by Residence

Figure
Percent 2.1 Household
distribution Drinking
of households by source ofWater
drinkingby Residence
water
Percent distribution of households by source of drinking water
1.0
2.7 5.1 2.8 3.7 2.7
7.01.0 2.2 1.5
1.7 3.8 3.7 0.2 2.7
2.7 5.1 1.3 2.8
3.3 0.1 3.5 3.4
7.0 1.7 0.3 2.2 3.8 0.4
1.5
0.2 0.4 1.3 0.2
163.3 0.1 3.5 3.4
0.3 0.4
0.2 0.4
16 36
12 46 Unimproved source
1.7 36 Community RO Plant
12 46 Bottled Unimproved
water source
Tanker truck/cart
Community withRO
small tank
Plant
1.7 13
Rain water
Bottled water
1.6 Protected spring
14 Tanker truck/cart with small tank
54 13 Protected dug well
1.6 Rain water
Tube well or borehole
1.6 Protected spring
14 33 Public tap/standpipe
54 23 Protected dug well
Piped to neighbour
1.6
Tube
Piped into well or borehole
dwelling/yard/plot
33 Public tap/standpipe
Urban Rural23 Total
Piped to neighbour
Piped into dwelling/yard/plot
Clean water is a basic need for human

Urban life. However,
Rural 58 percent of households do not treat their water prior to drinking.
Total
Treatment is less common in rural areas than urban areas; 66 percent of rural households do not treat their water, compared
with 44 percent of urban households. Boiling water and straining the water through a cloth before drinking are the most
common water treatment procedures used prior to drinking (16% and 15% of households, respectively).
18
2.2 SANITATION
Improved toilet facilities

Include any non-shared toilet of the following types: flush/pour flush toilets to piped
sewer systems, septic tanks, pit latrines, or an unknown destination; ventilated
improved pit (VIP)/biogas latrines; pit latrines with slabs; and twin pit/composting toilets
Sample: Households
Access of sanitation facility
Households that any type of toilet facility that household members usually use and
households that do not use a toilet facility but report they have access to a toilet facility.
Sample: Households
Sixty-nine percent of Indian households use

improved toilet facilities, which are non-shared Figure 2.2 Household Toilet Facilities by Residence
facilities that prevent people from coming into Percent distribution of households by type of toilet facilities
Percent distribution of households by type of toilet facilities
contact with human waste and can reduce the
transmission of cholera, typhoid, and other
diseases. Shared toilet facilities of an otherwise 6.1
2.7
6.1 19
acceptable type are also common, especially in 11
2.7
26
urban areas; 11 percent of urban households use a 19
26 2.9
11
shared facility, compared with 7 percent of rural 3.1 8.4
2.9
households (Table 2.2 and Figure 2.2). Nineteen 7.4 No facility/uses open space/field
3.1 8.4
percent of households do not use any toilet facility, 7.4 Unimproved
No facility/uses open space/field
meaning that they practice open defecation.
Shared facility
81 Unimproved
Eighty-three percent of households have access to Improved, not shared facility
69
64 Shared facility
a toilet facility; a much higher accessibility in
81
urban areas (96%) than in rural areas (76%). 69
Improved, not shared facility
Access to a toilet facility ranges from 69 percent 64
among scheduled tribe households to 93 percent

among households which are not scheduled caste, Urban Rural Total
scheduled tribe, or other backward class
households (Table 2.4). Among the states/UTs,
access to a toilet facility is lowest in Bihar (62%), Urban Rural Total
followed by Jharkhand (70%) and Odisha (71%)
(Table 2.5).
Trends: The percentage of households practicing open defecation decreased from 39 percent in 2015-16 to 19 percent in
\
2019-21.
2.3 EXPOSURE TO SMOKE INSIDE THE HOME AND OTHER HOUSING CHARACTERISTICS
2.3.1 Exposure to Smoke inside the Home
Exposure to smoke inside the home, either from cooking with solid fuels or smoking tobacco, has potentially harmful
health effects. Forty-one percent of households in India use some type of solid fuel for cooking, with virtually all being
wood or dung cakes (Table 2.6). Exposure to cooking smoke is greater when cooking takes place inside the house rather
than in a separate building or outdoors. In 25 percent of households, someone smokes inside the house on daily basis.
19
2.3.2 Other Housing Characteristics
The survey collected data on access to electricity, on flooring materials, and on the number of rooms used for sleeping.
Ninety-nine percent of urban households and 95 percent of rural households have electricity. Almost all households in
India (97%) have electricity.
Three-fifths of households have pucca houses (houses made with high quality materials throughout, including the floor,
roof, and exterior walls) and 34 percent have semi-pucca houses.
2.4 HOUSEHOLD WEALTH
Wealth index
Households are given scores based on the number and kinds of consumer
goods they own, ranging from a television to a bicycle or car, and housing
characteristics such as source of drinking water, toilet facilities, and flooring
materials. These scores are derived using principal component analysis.
National wealth quintiles are compiled by assigning the household score to each
usual (de jure) household member, ranking each person in the household
population by their score, and then dividing the distribution into five equal
categories, each with 20 percent of the population.
Sample: Households
Table 2.8 presents wealth quintiles according to

urban-rural residence and state. In India, the Figure 2.3 Household Wealth by Residence
wealthiest households are concentrated in urban Percent distribution of de jure population by wealth quintiles
areas. Fourty-six percent and 29 percent of the
urban population is in the highest and fourth
wealth quintile, respectively. By contrast, more 8.1
than half of the rural population (54%) falls in the
16
two lowest wealth quintiles (Figure 2.3).
46
Chandigarh (79%), followed by Delhi (68%) and
Punjab (61%), have the highest percentage of the 22
population in the highest wealth quintile. The
states with the highest percentages of population Highest
in the lowest wealth quintile are Jharkhand
29 26 Fourth
(46%), Bihar (43%) and Assam (38%) (Table
2.8). Seventy-one percent of the population in Middle
scheduled tribe households and 49 percent of the Second
16
population in scheduled caste households are in 28 Lowest
the two lowest wealth quintiles (Table 2.9). 7.2
3.2
Urban Rural
The survey also collected information on household assets, means of transportation, agricultural land, and farm animals
(Table 2.11 and Table 2.12 ). The percentage of households that have a bank account or a post office account is almost
the same in urban (95%) and rural areas (96%). Urban households are somewhat more likely than rural households to have
a mobile telephone (97% versus 92%). Rural households are more likely than urban households to own agricultural land
(52% versus 13%) or farm animals (58% versus 10%).
20
2.5 HAND WASHING
To obtain hand washing information, interviewers were asked to see the place where the de jure population most often
wash their hands. A place for washing hands was observed for 96 percent of the de jure population. Soap was available at
the place of hand washing for 75 percent of households and water was available for 92 percent of households, while 16
percent had material such as ash, mud or sand other than the soap and water only (Table 2.13). Twenty-six percent of the
population did not have water, soap, or another cleansing agent for hand washing on the premises.
2.6 HOUSEHOLD POPULATION AND COMPOSITION
Household
A person or group of related or unrelated persons who live together in the same
dwelling unit(s), who acknowledge one adult male or female as the head of the
household, who share the same housekeeping arrangements, and who are
considered a single unit.
De facto population
All persons who stayed in the selected households the night before the interview
(whether usual residents or visitors).
De jure population
All persons who are usual residents of the selected households, whether or not
they stayed in the household the night before the interview.
How data are calculated

All tables are based on the de facto population, unless specified otherwise.
A total of 2,768,371 individuals stayed overnight

in the 636,699 sample households in the NFHS- Figure 2.4 Population Pyramid
5 survey. The population pyramid in Figure 2.4 Percent distribution of the de facto household population
illustrates the distribution by five-year age Age in years
groups and sex. The pyramid shows that India’s 80+
population is young, which is typical of 75-79
70-74
developing countries with low life expectancy. 65-69
The pyramid also shows that fertility has 60-64 Male Female
decreased considerably in the last 5 years. 55-59
50-54
Children under age 15 represent 27 percent of the 45-49
household population, while individuals age 60 40-44
35-39
and older represent only 12 percent of the 30-34
household population (Table 2.15). 25-29
20-24
15-19
Table 2.14 shows that 18 percent of households 10-14
have female heads. Urban households are 5-9
somewhat smaller, on average, than rural 0-4
households (4.2 and 4.5 persons, respectively). 10 66 22 2 6 10
Overall, 13 percent of households have one or Percent

more foster or orphan children under age 18.
Trends: The percentage of children under age 15 declined from 29 percent in NFHS-4 (2015-16) to 27 percent in NFHS-
5 (2019-21). In contrast, the population 60 years and older increased slightly, from 10 percent in NFHS-4 to 12 percent in
21
NFHS-5. The average household size decreased slightly between 2015-16 and 2019-21 (from 4.6 to 4.4 persons), and the
percentage of female-headed households increased slightly, from 15 percent in NFHS-4 to 18 percent in NFHS-5.
2.7 BIRTH REGISTRATION
Registered birth
Child has a birth certificate or child does not have a birth certificate, but his/her
birth is registered with the civil authorities.
Sample: De jure children under age five years
Table 2.16 presents information on birth registration of children under age five years. At the time of the survey, 89 percent
of children under age five years had their births registered with the civil authority; this includes 75 percent of children with
birth certificates. Female and male children are equally likely to have their birth registered. Children in urban areas (93%)
are more likely than children in rural areas (88%) to have their births registered. Birth registration is universal in
Lakshadweep and Goa, is 95 percent or more in 21 States/UTs, and is below 80 percent in Bihar (76%), Jharkhand (74%),
and Nagaland (73%). (Table 2.17 and Figure 2.5).
Figure 2.5 Birth Registration by State/UT

Percentage of de jure children under age five whose births
are registered with the civil authorities
Lakshadweep 100
Goa 100
Mizoram 99
Puducherry 99
Kerala 99
Ladakh 99
Tamil Nadu 98
West Bengal 98
Dadra & Nagar Haveli and Daman & Diu 98
Himachal Pradesh 98
Punjab 98
Chandigarh 98
Karnataka 98
Gujarat 98
Andaman & Nicobar Islands 97
Chhattisgarh 97
Sikkim 97
Maharashtra 96
Assam 96
Jammu & Kashmir 95
Haryana 95
Delhi 94
Madhya Pradesh 94
Tripura 94
Andhra Pradesh 92
Uttarakhand 92
Rajasthan 91
Odisha 91
Telangana 90
INDIA 89
Arunachal Pradesh 88
Manipur 87
Meghalaya 82
Uttar Pradesh 80
Bihar 76
Jharkhand 74
Nagaland 73
Trends: Birth registration among children under age five years increased between NFHS-4 and NFHS-5 (from 80% to
89%). The percentage of births that were registered increased by more than 60 percentage points between 2015-16 and
2019-21 in Jharkhand, Bihar, Uttar Pradesh, and Nagaland.
22
2.8 DEATH REGISTRATION
Registered death
Deaths of usual household members occurred during the 3 years preceding the
survey and are registered with the civil authority.
Sample: De jure household population
Table 2.18 presents information on death registration of usual household members in the three years preceding the
survey with the civil authorities. Seventy-one percent of deaths of usual household members were registered with the
civil authorities (51 percent of deaths at age 0-4, 76 percent of deaths at age 25-34, and 75 percent of deaths at age 35
and above). Death registration is higher in urban (83%) than rural areas (66%) and among males (75%) than females
(66%). Death registration increases with wealth; the highest registration is in the highest wealth quintile (87%) and the
lowest is in lowest wealth quintile (52%). Among the states/UTs, death registration is lowest in Bihar (36%), followed
by Arunachal Pradesh (37%) and Nagaland (39%) (Table 2.19).
2.9 CHILDREN’S LIVING ARRANGEMENTS AND PARENTAL SURVIVAL
Orphan
A child with one or both parents who are dead.
Sample: De jure children under age 18 years
Only 3 percent of children under age 18

years are not living with a biological parent Figure 2.6 Orphanhood by Child's Age
(Table 2.20). Five percent of children under
Percentage of de jure children under age 18 with
age 18 years are orphans with one or both
parents who have died. The percentage of one or both parents dead
children who are orphans rises rapidly with
age, from less than 1 percent among children
8.9
under age 2 to 9 percent among children age
15-17 (Figure 2.6). The Northeast region has
the highest percentage of children who are 6.1
orphans (6% or more in every state except
Tripura) (Table 2.21).
3.3
Trends: The percentage of children under
age 18 who do not live with a biological 1.6
0.9
parent has not changed between NFHS-4 and
NFHS-5 (3%). The percentage of children
under age 18 who are orphans (5%) did not <2 2-4 5-9 10-14 15-17
change between 2015-16 and 2019-21.
2.10 SCHOOLING
2.10.1 Educational Attainment
Median educational attainment

Half the population has completed less than the median number of years of
schooling and half the population has completed more than the median number
of years of schooling.
Sample: De facto household population age six and over
23
Overall, 72 percent of females and 87 percent of males age six and over have ever attended school. Nearly one-third of
females (31%) have 7 or less years of schooling; 14 percent completed 8-9 years of schooling. Among males, 34 percent
have less than 7 years of schooling; 16 percent completed 8-9 years of schooling. Only 10 percent of females and 13 percent
of males completed 10-11 years of schooling. Twenty-eight percent of females and 14 percent of males have never attended
school. Seventeen percent of females and 23 percent of males completed 12 or more years of schooling. The median
number of years of schooling completed is higher for males (7.3 years) than for females (4.9 years) (Table 2.24).
Trends: Educational attainment at the household level increased between 2015-16 and 2019-21. Among females, the
median number of years of schooling increased from 4.4 years in NHFS-4 (2015-16) to 4.9 years in NHFS-5 (2019-21).
The median number of years of schooling completed by males increased from 6.9 years in NHFS-4 to 7.3 years in NHFS-
5. Over the same period, the percentage of females and males with no schooling decreased from 31 percent of females and
15 percent of males to 28 percent of females and 14 percent of males.
Patterns by background characteristics
 Among both females and males, the median number of years of schooling is higher in urban areas than in rural areas
(7.5 years versus 4.0 years among females and 8.8 years versus 6.5 years among males).
 Educational attainment increases with household wealth. Females in the lowest wealth quintile have completed a
median of 0.4 years of schooling, compared with a median of 9.3 years for females in the highest wealth quintile. The
median number of years of schooling was 3.7 years among males in the lowest wealth quintile and 10.0 years among
those in the highest quintile.
 The median number of years of schooling is highest among those who do not belong to scheduled castes, scheduled
tribes, and other backward classes (7.0 years for females and 8.5 years for males). The median number of years of
schooling is lower among Muslims than for other specific religious groups (4.3 years for females and 5.4 years for
males).
 The percentage of the household population with no schooling is higher in rural areas than urban areas (33% versus
17% for females and 16% versus 8% for males).
2.10.2 Preschool attendance
Preschool attendance
Children age 2 to 4 years attending pre-primary education, such as at an
anganwadi centre (Integrated Child Development Service), improves school
readiness by providing quality learning through interactive play methods with
qualified instructors.
Sample: De facto household population age 2 to 4 years
Attending pre-primary education, such as at an anganwadi centre, improves children’s school readiness. Also, parents
or guardians can go to work at ease if children are enrolled in pre-primary education.
Forty percent of both boys and girls age 2-4 years attend preschool. There is no difference in preschool attendance
among children in nuclear households and non-nuclear households (40% each). Preschool attendance is the lowest
among children in households with household head belonging to other religions (33%) and Muslim religion (34%).
Preschool attendance is lower among children belonging to scheduled caste and other backward classes (38% each),
compared with children from any other caste/tribe group. Preschool attendance is higher in households with 3 to 5
members (43%) than in households with 1-2 members (39%) and household with 6 or more members (38%). Overall,
rural households (39%) show lower preschool attendance than urban households (44%) (Table 2.22). Preschool
attendance is highest in Andaman and Nicobar Islands (89%), followed by Andhra Pradesh (75%) and Sikkim (74%)
(Table 2.23).
24
2.10.3 School Attendance
Net attendance ratio (NAR)

Percentage of the school-age population that attends primary or secondary
school.
Sample: Children age 6-10 for primary school NAR and children age 11-17 for
secondary school NAR
Gross attendance ratio (GAR)

The total number of children attending primary school divided by the official
primary school age population and the total number of children attending
secondary school divided by the official secondary school age population.
Sample: Children at the official primary school age for primary school GAR and
children at the official secondary school age for secondary school GAR
Eighty-seven percent of children age 6-17 attend school (88% of males and 87% of females) (Table 2.26). Almost all
(95%) males and females age 6-10 attend school. This percentage decreases to 91 percent for children age 11-14 and then
drops further to 70 percent for children age 15-17. There is almost no difference in school attendance by males (94%) and
females (93%) at age 6-14, but males are more likely than females to attend school at age 15-17 (72% versus 68%). Urban-
rural differentials in school attendance are minimal at age 6-10, but widen at older ages (Figure 2.7).
Eighty-three percent of girls and 84 percent of boys age 6-10 attend primary school (Table 2.27). The net attendance ratio
(NAR) drops in secondary school: only 70 percent of girls and 72 percent of boys age 11-17 attend secondary school.
The gross attendance ratio (GAR) is 92 percent at the primary school level and 82 percent at the secondary school level.
These figures indicate that a number of children outside the official school age population for that level are attending
primary school, and not all those who should be are attending secondary school (Table 2.27).
Figure 2.7 School Attendance by Age, Sex, and Residence

Percentage of children age 6-17 years attending school
AGE 6-10, URBAN

Male 96
Female 96
AGE 6-10, RURAL

Male 95
Female 94
AGE 11-14, URBAN

Male 93
Female 94
AGE 11-14, RURAL

Male 91
Female 89
AGE 15-17, URBAN

Male 76
Female 79
AGE 15-17, RURAL

Male 70
Female 64
25
Gender parity index (GPI)
The ratio of female to male children attending primary school and the ratio of
female to male children attending secondary school. The index reflects the
magnitude of the gender gap.
Sample: Children attending primary school and children attending secondary
school
A gender parity index (GPI) of 1 indicates parity or equality between the school participation ratios for males and females.
A GPI lower than 1 indicates a gender disparity in favour of males, with a higher proportion of males than females attending
that level of schooling. A GPI higher than 1 indicates a gender disparity in favour of females.
The GPI for the NAR is 0.99 at the primary school level and 0.97 at the secondary school level. This indicates that there is
relatively little difference in overall school attendance by school-age girls and boys at either the primary or secondary
school level. The GPI for the GAR is also slightly less than 1, which indicates that male children outside of the official
school age population are only slightly more likely to attend school than their female counterparts; the GPIs for the GAR
are almost the same at the primary school level (0.98) and at the secondary school level (0.97).
 At the primary school level, there is no difference in the NAR between urban and rural areas (83% each). However, at
the secondary school level, the NAR is higher in urban areas than in rural areas (76% versus 70%).
 The NARs increase with household wealth at the secondary school level. Attendance in the lowest wealth quintile is
57 percent for girls and 59 percent for boys, compared with 83 percent for girls and 84 percent for boys in the highest
wealth quintile.
 At the primary school level, there is a slight difference in the GAR between urban and rural areas (90% and 92%,
respectively). However, at the secondary school level, the GAR is higher in urban areas than in rural areas (87% versus
80%).
 The GARs increase with household wealth at the secondary school level. Attendance in the lowest wealth quintile is
66 percent for girls and 68 percent for boys, compared with 95 percent for girls and 96 percent for boys in the highest
wealth quintile.
 There is not much difference by caste/tribe in the NAR and GAR at of the primary school level, but at the secondary
school level, children belonging to scheduled tribes have the lowest NARs and GARs.
2.11 DISABILITY
Disability
All usual household members who have any disability in specified domains
such as hearing, speech, visual, mental, locomotor, and others.
Sample:1) All de jure household population.
2) De jure household population age 15 years and over having any
form of disability.
The respondent to the Household Questionnaire provided information for all usual household members on whether or not
they have any disability in specified domains. The domains of disability are hearing, speech, visual, mental, locomotor,
and others. Just 1 percent of the de jure household population has any disability. The most prominent type of disability is
locomotor (0.4%). Men are slightly more likely than women to have any disability (1.2% of men compared with 0.8% of
26
women). The proportion of household members who have any disability rises with increasing age. For instance, 1.2 percent
of the household members age 50 and above were reported to have any disability, compared with 0.3 percent of the
youngest age group (Table 2.29).
Men are slightly more likely than women to have any disability at age 15 years and above (1.4% of men compared with
0.9% of women). The rural population (1.2%) is slightly more likely to have any type of disability than the urban population
(0.9%) (Table 2.30). Any type of disability is highest in Lakshadweep (1.9%), followed by Tamil Nadu (1.5%) (Table
2.31).
2.12 USE OF TOBACCO AND ALCOHOL
Tobacco
Household population age 15 years and over who currently use any form of
tobacco, such as cigar, pipe, hookah, gutkha / paan masala with tobacco, khaini,
paan with tobacco, other chewing tobacco and snuff.
Sample: De facto household population age 15 years and over.
Alcohol
Household population age 15 years and over who currently drink any form of
alcohol.
Sample: De facto household population age 15 years and over.
Thirty-eight percent of men and 9 percent of women age 15 and over currently use any tobacco products. Among men as
well as women, the use of tobacco is higher in rural areas (43% for men and 11% for women) than in urban areas (29% for
men and 6% for women). Nearly three-fifths of men (58%) and 15 percent of women with no schooling or less than 5 years
of schooling use tobacco. Tobacco use shows a steady and substantial decrease with increasing levels of education among
both men and women. However, eighteen percent of men with 12 or more years of schooling use tobacco. There is an
equally clear and continual decrease in tobacco use with increasing wealth quintiles. Over one-fifth of men (21%) in the
highest wealth quintile use tobacco, in comparison with 58 percent of men in the lowest wealth quintile. Seventeen percent
of women in the lowest wealth quintile use tobacco. Women (19%) and men (51%) belonging to scheduled tribes are more
likely to use tobacco than those from any other caste/tribe groups (Table 2.35). Tobacco use among men age 15 and over
is highest in Mizoram (73%), followed by Andaman & Nicobar Islands (59%) and Manipur (58%). Tobacco use among
women is highest in Mizoram (62%), Tripura (51%), and Manipur (43%) (Table 2.36).
Only 1 percent of women drink alcohol, compared with 19 percent of men. Drinking alcohol is more common among
women from scheduled tribes (6%) than from any other caste/tribe groups. Among men, alcohol use is higher among those
belonging to other religions (47%), those with no schooling (30%), scheduled tribes (33%), and those age 35-49 (27%)
(Table 2.33). Alcohol use among women age 15 and over is highest in Arunachal Pradesh (24%) and Sikkim (16%).
Alcohol use among men is highest in Arunachal Pradesh (53%) and Telangana (43%), and is the lowest in Lakshadweep
(0.4%) (Table 2.34).
27
The percentage of men age 15 years and above who use any kind of tobacco exceeds 40 percent in most parts of Madhya
Pradesh, Uttar Pradesh, Odisha, Jharkhand, West Bengal, Bihar, Chhattisgarh, Northeastern states, northern part of
Maharashtra, western Gujarat, and southern Rajasthan. Use of tobacco is also high (30–40%) in Ladakh, Uttarakhand, most
parts of Maharashtra, Karnataka, northern parts of Rajasthan, and northwestern Gujarat. Lower prevalence of tobacco use
(below 30 percent) is mostly observed in Punjab and southern states, except in central parts of Karnataka (Map 2.1).
28
A higher proportion (40% and above) of alcohol consumption among men age 15 years and over is found in Telangana,
Arunachal Pradesh, upper Brahmaputra region of Assam, a few districts in Jharkhand and Bastar region of Chhattisgarh,
and the Chhota Nagpur region of Jharkhand and Odisha. A 30-40 percent level of alcohol consumption is found in the
districts of Chhattisgarh, Uttarakhand, Manipur, Meghalaya, Tripura, and a few districts of Odisha. A lower level (below
30%) of alcohol consumption is observed in the remaining parts of the states in India (Map 2.2).
29
2.13 POSSESSION OF MOSQUITO NETS
Ownership of insecticide-treated nets

Households that have at least one insecticide-treated net (ITN). An ITN is
defined as a factory-treated net that does not require any further treatment.
Sample: Households
Full household ITN coverage

Percentage of households with at least one ITN for every two people.
Sample: Households
An important strategy in the control of malaria and kala-azar is prevention through use of mosquito nets to protect
themselves from mosquito bites.
More than one-third of households (36%) in India have at least one mosquito net, while 8 percent have at least one
Insecticide Treated Mosquito Net (ITN). On average, there are 0.2 ITNs per household. Four percent of households have
achieved full household ITN coverage, meaning a household has at least one ITN for every two persons who slept in the
household the night before the survey. Twenty percent of households had at least one mosquito net of any type for every
two persons who slept in the household last night. The proportion of households having at least one ITN for every two
persons who slept in the household last night is highest in Nagaland (43%), Arunachal Pradesh (35%), and Mizoram (26%)
(Table 2.32).
 Seven percent of households in the lowest wealth quintile have full household ITN coverage, compared with two
percent of households in the highest wealth quintile.
 Urban households are less likely (2%) than rural households (5%) to have full household ITN coverage.
30
LIST OF TABLES
For more information on the household population and housing characteristics, see the following tables:
Tables
Table 2.1 Household drinking water
Table 2.2 Household sanitation facilities
Table 2.3 Sanitation facility type by wealth quintile and state/union territory
Table 2.4 Access to a toilet facility
Table 2.5 Access to a toilet facility by state/union territory
Table 2.6 Housing characteristics
Table 2.7 Housing characteristics by state/union territory
Table 2.8 Wealth quintiles by state/union territory
Table 2.9 Religion and caste/tribe of household head by wealth quintiles
Table 2.10 Religion and caste/tribe of household head by state/union territory
Table 2.11 Household possessions
Table 2.12 Household ownership of agricultural land, house, and farm animals
Table 2.13 Handwashing
Table 2.14 Household composition
Table 2.15 Household population by age, residence, sex, and possession of an Aadhaar card
Table 2.16 Birth registration of children under age 5
Table 2.17 Birth registration of children under age 5 by state/union territory
Table 2.18 Death registration
Table 2.19 Death registration by state/union territory
Table 2.20 Children's living arrangements and orphanhood
Table 2.21 Children's living arrangements and orphanhood by state/union territory
Table 2.22 Preschool attendance
Table 2.23 Preschool attendance by state/union territory
Table 2.24 Educational attainment of household population
Table 2.25 Educational attainment of household population by state/union territory
31
Tables
Table 2.26 School attendance by state/union territory
Table 2.27 School attendance ratios
Table 2.28 Reasons for children currently not attending school
Table 2.29 Disability
Table 2.30 Prevalence of any disability
Table 2.31 Prevalence of any disability by state/union territory
Table 2.32 Household possession of mosquito nets
Table 2.33 Use of alcohol by the population age 15 and over
Table 2.34 Use of alcohol by the population age 15 and over by state/union territory
Table 2.35 Use of tobacco by the population age 15 and over
Table 2.36 Use of tobacco by the population age 15 and over by state/union territory
32
Table 2.1 Household drinking water
Percent distribution of urban, rural, and total households and de jure population by source of drinking
water, time to collect drinking water, and person who usually collects drinking water, percentage of urban,
rural, and total households and de jure population by treatment of drinking water, and percentage of
households and de jure population with basic drinking water service and limited drinking water service,
India, 2019-21
De jure
Characteristic Urban Rural Total population
Source of drinking water

Improved source 98.7 94.5 95.9 95.9
Piped into dwelling/yard/plot 53.6 22.6 32.9 32.3
Piped to neighbour 1.7 1.6 1.6 1.5
Public tap/standpipe 12.2 13.9 13.3 12.3
Tube well or borehole 16.1 45.9 36.0 38.6
Protected dug well 3.3 3.5 3.4 3.2
Protected spring 0.2 0.4 0.4 0.4
Rain water 0.1 0.3 0.2 0.3
Tanker truck/cart with small tank 1.7 1.3 1.5 1.5
Bottled water 7.0 2.2 3.8 3.4
Community RO plant 2.7 2.8 2.7 2.4
Unimproved source 1.0 5.1 3.7 3.7

Unprotected dug well 0.6 3.8 2.7 2.8
Unprotected spring 0.1 0.4 0.3 0.3
Surface water 0.4 0.9 0.7 0.7
Other 0.3 0.4 0.4 0.4
Total 100.0 100.0 100.0 100.0
Time to collect drinking water (round trip)

Water on premises/delivered to dwelling 85.6 68.0 73.9 75.1
Thirty minutes or less 13.9 30.4 24.9 23.6
More than 30 minutes 0.4 1.6 1.2 1.2
Don't know 0.1 0.1 0.1 0.1
Total 100.0 100.0 100.0 100.0

Number 211,271 425,428 636,699 2,780,724
Continued…
33
Table 2.1 Household drinking water—Continued
Percent distribution of urban, rural, and total households and de jure population by source of drinking
water, time to collect drinking water, and person who usually collects drinking water, percentage of urban,
rural, and total households and de jure population by treatment of drinking water, and percentage of
households and de jure population with basic drinking water service and limited drinking water service,
India, 2019-21
De jure
Characteristic Urban Rural Total population
Person who usually collects drinking water1

Adult female 15 and over years 56.3 73.6 70.5 71.3
Adult male 15 and over years 39.3 21.2 24.5 23.0
Female child under age 15 years 1.7 3.1 2.8 3.4
Male child under age 15 years 1.4 1.1 1.1 1.2
Other 1.4 1.1 1.1 1.1
Total 100.0 100.0 100.0 100.0

Number 30,383 136,053 166,436 693,246
Water treatment prior to drinking2

Boil 21.4 13.3 16.0 14.8
Use alum 1.7 1.3 1.4 1.4
Bleach/chlorine added 3.5 3.3 3.4 3.3
Strain through cloth 14.9 14.8 14.8 15.2
Ceramic, sand, or other filter 11.8 4.6 7.0 6.7
Use electronic purifier 12.8 2.0 5.6 5.4
Solar disinfection 0.1 0.0 0.1 0.1
Let it stand and settle 0.6 0.8 0.8 0.8
Other 1.8 1.5 1.6 1.7
No treatment 43.5 65.7 58.3 59.3
Percentage using an appropriate

treatment method3 43.8 20.5 28.2 26.8
Percentage with basic drinking water service 4 98.2 93.2 94.9 94.8
Percentage with limited drinking water service 5 0.4 1.2 0.9 1.0
Number of households/population 211,271 425,428 636,699 2,780,724

1 Excludes those who have source of water on premises or who have water delivered to the dwelling
2 Total may add to more than 100.0 because households may use more than one method of treatment
3 Appropriate water treatment methods are boiling, adding bleach/chlorine tablets, filtering, electronic purifying, and
solar disinfection
4 Defined as drinking water from an improved source, provided either water is on the premises or round-trip collection
time is 30 minutes or less. Includes safely managed drinking water, which is not shown separately.
5
Drinking water from an improved source, provided round-trip collection time is more than 30 minutes or is unknown.
34
Table 2.2 Household sanitation facilities
Percent distribution of households and de jure population by type of toilet facility, percentage of households and de jure
population with basic sanitation services, and percentage with limited sanitation services, according to residence, India,
2019-21
De jure
Type of toilet/latrine facility Urban Rural Total population
Improved, not shared facility 80.7 63.6 69.3 70.2

Flush/pour flush to piped sewer system 22.8 2.7 9.3 9.0
Flush/pour flush to septic tank 47.4 36.2 39.9 40.1
Flush/pour flush to pit latrine 6.1 13.2 10.8 11.3
Flush/pour flush, don't know where 0.3 0.1 0.2 0.2
Ventilated improved pit (VIP) latrine/ biogas latrine 0.4 0.7 0.6 0.6
Pit latrine with slab 3.0 5.4 4.6 4.6
Twin pit, composting toilet 0.8 5.3 3.8 4.3
Shared facility1 10.5 7.4 8.4 7.6

Flush/pour flush to piped sewer system 2.8 0.2 1.1 1.0
Flush/pour flush to septic tank 5.8 4.0 4.6 4.2
Flush/pour flush to pit latrine 0.9 1.7 1.4 1.3
Flush/pour flush, don't know where 0.1 0.0 0.0 0.0
Ventilated improved pit (VIP) latrine/ biogas latrine 0.1 0.1 0.1 0.1
Pit latrine with slab 0.5 0.8 0.7 0.6
Twin pit, composting toilet 0.2 0.6 0.5 0.4
Unimproved 2.7 3.1 2.9 2.9

Flush/pour flush not to sewer/septic tank/pit latrine 1.4 0.6 0.9 0.8
Pit latrine without slab/open pit 0.5 1.4 1.1 1.1
Dry toilet 0.2 0.8 0.6 0.7
Other 0.5 0.2 0.3 0.3
Open defecation (No facility/uses open space or field) 6.1 25.9 19.4 19.3
Total 100.0 100.0 100.0 100.0
Location of toilet facility

In own dwelling 68.6 36.8 49.1 49.4
In own yard/plot 28.1 59.1 47.1 47.0
Elsewhere 3.2 4.1 3.8 3.7
Total 100.0 100.0 100.0 100.0
Number of households/population with a toilet/latrine facility 198,355 315,052 513,407 2,243,564
Percentage with basic sanitation service2 80.7 63.6 69.3 70.2

Percentage with limited sanitation service3 10.5 7.4 8.4 7.6

1
Facilities that would be considered improved if they were not shared by two or more households
2
Defined as use of improved facilities that are not shared with other households
3
Defined as use of improved facilities shared by 2 or more households.
35
Table 2.3 Sanitation facility type by wealth quintile and state/union territory
Percent distribution of de jure population by type of sanitation, percentage of de jure population with basic sanitation
service, and percentage with limited sanitation service, by wealth quintile and state/union territory, India, 2019-21
Type of sanitation Percentage Percentage

Improved Unimproved with basic with limited
sanitation Shared sanitation sanitation sanitation
Wealth and state/union territory facility1 facility2 facility3 Total service4 service5
Wealth quintile
Lowest 37.5 10.6 51.9 100.0 37.5 5.8
Second 57.5 13.2 29.3 100.0 57.5 9.3
Middle 73.3 14.0 12.8 100.0 73.3 11.1
Fourth 86.9 10.6 2.5 100.0 86.9 8.6
Highest 95.6 4.2 0.1 100.0 95.6 3.2
State/union territory
India 70.2 10.5 19.3 100.0 70.2 7.6
North
Chandigarh 85.0 12.6 2.4 100.0 85.0 11.4
Delhi 81.1 17.7 1.2 100.0 81.1 13.3
Haryana 85.0 11.8 3.2 100.0 85.0 10.2
Himachal Pradesh 81.7 11.3 6.9 100.0 81.7 10.2
Jammu & Kashmir 75.7 18.7 5.6 100.0 75.7 3.1
Ladakh 42.3 57.2 0.5 100.0 42.3 1.1
Punjab 86.6 10.9 2.5 100.0 86.6 9.5
Rajasthan 71.1 7.1 21.8 100.0 71.1 5.8
Uttarakhand 78.7 15.0 6.3 100.0 78.7 14.0
Central
Chhattisgarh 76.8 8.9 14.3 100.0 76.8 6.1
Madhya Pradesh 65.1 10.0 24.9 100.0 65.1 7.5
Uttar Pradesh 68.7 9.1 22.2 100.0 68.7 7.4
East
Bihar 49.4 12.5 38.1 100.0 49.4 9.9
Jharkhand 56.7 10.4 32.9 100.0 56.7 6.2
Odisha 60.5 6.2 33.3 100.0 60.5 5.2
West Bengal 68.0 20.1 11.9 100.0 68.0 15.6
Northeast
Arunachal Pradesh 82.9 15.7 1.4 100.0 82.9 9.0
Assam 68.5 27.3 4.1 100.0 68.5 10.0
Manipur 64.9 34.8 0.4 100.0 64.9 29.9
Meghalaya 82.9 13.0 4.1 100.0 82.9 7.0
Mizoram 95.3 4.6 0.1 100.0 95.3 2.5
Nagaland 87.7 11.8 0.5 100.0 87.7 8.1
Sikkim 87.3 12.4 0.3 100.0 87.3 10.7
Tripura 73.6 25.4 1.1 100.0 73.6 15.1
Continued…
36
Table 2.3 Sanitation facility type by wealth quintile and state/union territory—Continued
Percent distribution of de jure population by type of sanitation, percentage of de jure population with basic sanitation
service, and percentage with limited sanitation service, by wealth quintile and state/union territory, India, 2019-21
Type of sanitation Percentage Percentage

Improved Unimproved with basic with limited
sanitation Shared sanitation sanitation sanitation
Wealth and state/union territory facility1 facility2 facility3 Total service4 service5
West
Daman & Diu 65.8 24.0 10.3 100.0 65.8
Goa 87.9 8.6 3.4 100.0 87.9 7.3
Gujarat 74.0 6.1 19.9 100.0 74.0 3.3
Maharashtra 72.0 10.7 17.3 100.0 72.0 8.1
South
Andaman & Nicobar Islands 88.0 8.5 3.6 100.0 88.0 8.1
Andhra Pradesh 77.3 6.2 16.5 100.0 77.3 5.2
Karnataka 74.8 6.9 18.3 100.0 74.8 3.3
Kerala 98.7 1.1 0.2 100.0 98.7 0.5
Lakshadweep 99.8 0.2 0.0 100.0 99.8 0.1
Puducherry 84.9 5.2 9.9 100.0 84.9 4.0
Tamil Nadu 72.6 5.7 21.7 100.0 72.6 4.1
Telangana 76.2 12.2 11.5 100.0 76.2 9.4
1
See Table 2.2 for definition of an improved facility.
2
Defined as use of improved facilities that are shared with other households
3
See Table 2.2 for definition of an unimproved facility.
4
Defined as use of improved facilities that are not shared with other households.
5
Defined as use of improved facilities shared by 2 or more households
37
Table 2.4 Access to a toilet facility
Percentage of households having access to a toilet facility by selected

background characteristics, according to residence, India, 2019-21
Residence
Background characteristic Urban Rural Total
Religion of household head

Hindu 95.1 74.0 80.7
Muslim 97.2 85.4 90.3
Christian 97.5 87.2 91.2
Sikh 99.3 96.7 97.5
Buddhist/Neo-Buddhist 95.3 82.8 87.8
Jain 99.9 88.1 97.6
Other 95.5 66.2 72.5
Caste/tribe of household head

Scheduled caste 91.4 71.2 76.9
Scheduled tribe 88.8 65.1 68.5
Other backward class 95.6 75.7 82.3
Other 98.6 87.8 92.5
Don't know 96.4 69.0 80.2
Wealth quintile
Lowest 52.5 51.7 51.8
Second 79.1 73.1 73.9
Middle 94.1 88.7 90.1
Fourth 99.3 97.8 98.5
Highest 100.0 99.8 99.9
Total 95.6 76.0 82.5
38
Table 2.5 Access to a toilet facility by state/union territory
Percentage of households having access to a toilet facility by state/union

territory, according to residence, India, 2019-21
Residence
State/union territory Urban Rural Total
India 95.6 76.0 82.5
North
Chandigarh 98.3 100.0 98.3
Delhi 99.4 97.8 99.4
Haryana 98.8 95.7 96.8
Himachal Pradesh 97.6 93.0 93.6
Jammu & Kashmir 99.4 92.5 94.4
Ladakh 100.0 99.2 99.4
Punjab 98.6 96.4 97.3
Rajasthan 97.3 72.6 78.7
Uttarakhand 98.3 91.7 93.8
Central
Chhattisgarh 96.4 82.8 85.9
Madhya Pradesh 93.5 69.8 76.2
Uttar Pradesh 95.2 72.7 78.4
East
Bihar 88.8 56.7 61.7
Jharkhand 90.6 62.9 69.6
Odisha 82.9 68.9 71.3
West Bengal 97.3 84.9 89.0
Northeast
Arunachal Pradesh 99.7 98.5 98.7
Assam 99.1 95.3 95.9
Manipur 99.9 99.6 99.7
Meghalaya 99.6 95.2 96.2
Mizoram 100.0 99.8 99.9
Nagaland 99.9 99.5 99.7
Sikkim 99.7 99.7 99.7
Tripura 99.8 98.8 99.1
West
Dadra & Nagar Haveli and Daman & Diu 97.4 83.8 91.0
Goa 98.6 94.1 96.7
Gujarat 96.9 70.6 81.9
Maharashtra 97.0 79.0 87.6
South
Andaman & Nicobar Islands 99.8 94.8 96.5
Andhra Pradesh 96.7 80.3 85.3
Karnataka 93.3 75.9 83.1
Kerala 99.9 99.8 99.8
Lakshadweep 100.0 100.0 100.0
Puducherry 96.6 79.7 91.4
Tamil Nadu 92.3 71.7 81.5
Telangana 97.4 83.1 88.2
39
Table 2.6 Housing characteristics
Percent distribution of urban, rural, and total households and de jure population by housing
characteristics, India, 2019-21
De jure
Housing characteristic Urban Rural Total population
Electricity
Yes 99.0 95.3 96.5 96.8
No 1.0 4.7 3.5 3.2
Total 100.0 100.0 100.0 100.0
Type of house1
Kachha 0.9 6.4 4.6 4.5
Semi-pucca 13.2 44.2 33.9 35.2
Pucca 84.9 48.0 60.3 59.0
Missing 1.1 1.4 1.3 1.2
Total 100.0 100.0 100.0 100.0
Persons per room used for sleeping

<3 64.1 57.7 59.8 51.5
3-4 26.3 29.2 28.3 32.4
5-6 7.5 9.9 9.1 11.8
7 or more 1.9 3.2 2.8 4.2
Missing 0.1 0.1 0.1 0.0
Total 100.0 100.0 100.0 100.0
Cooking fuel
Electricity 0.9 0.5 0.6 0.6
LPG/natural gas 88.6 42.3 57.7 55.2
Biogas 0.2 0.4 0.3 0.3
Kerosene 0.5 0.4 0.4 0.4
Coal/lignite 0.7 0.8 0.8 0.8
Charcoal 0.3 1.0 0.8 0.8
Wood 7.5 43.7 31.7 33.4
Straw/shrubs/grass 0.2 2.0 1.4 1.4
Agricultural crop waste 0.2 2.9 2.0 2.1
Dung cakes 0.6 5.7 4.0 4.8
Other 0.4 0.3 0.4 0.2
Total 100.0 100.0 100.0 100.0
Percentage using clean fuel for cooking2 89.7 43.2 58.6 56.2
Percentage using solid fuel for cooking3 9.5 56.1 40.6 43.3
Continued…
40
Table 2.6 Housing characteristics —Continued
Percent distribution of urban, rural, and total households and de jure population by housing
De jure
Housing characteristic Urban Rural Total population
Place for cooking

In the house, separate room 72.2 48.8 56.6 56.6
In the house, no separate room 17.8 27.3 24.1 23.8
In a separate building 7.1 13.7 11.5 11.9
Outdoors 2.5 9.9 7.5 7.6
Other 0.4 0.2 0.3 0.1
Missing 0.0 0.1 0.1 0.1
Total 100.0 100.0 100.0 100.0
Number 211,271 425,428 636,699 2,780,724
Type of fire/stove among households

using solid fuels
Stove 1.9 0.6 0.7 0.7
Open fire 5.4 4.4 4.5 4.0
Chullah 92.6 94.9 94.8 95.4
Other 0.1 0.0 0.0 0.0
Total 100.0 100.0 100.0 100.0
Number using solid fuel 19,968 238,473 258,441 1,202,864
Frequency of smoking in the home4

Daily 18.4 27.5 24.5 26.6
Weekly 6.5 8.8 8.1 8.5
Monthly 3.2 4.9 4.4 4.6
Less than monthly 3.1 4.2 3.8 4.0
Never 68.8 54.6 59.3 56.3
Missing 0.0 0.0 0.0 0.0
Total 100.0 100.0 100.0 100.0
Number 211,271 425,428 636,699 2,780,724

1
Houses made from mud, thatch, or other low-quality materials are called kachha houses, houses that use partly
low-quality and partly high-quality materials are called semi-pucca houses, and houses made with high quality
materials throughout, including the floor, roof, and exterior walls, are called pucca houses.
2
Electricity, LPG/natural gas, biogas
3
Includes coal/lignite, charcoal, wood, straw/shrubs/grass, agricultural crop waste, and dung cakes
4
Frequency of smoking by anyone inside the house
41
Table 2.7 Housing characteristics by state/union territory
Selected housing characteristics by state/union territory, India, 2019-21
Percentage of households:
Mean number
With improved With With Using solid In which Living in of persons per
With source of toilet improved fuel for anyone smokes a pucca room used for
State/union territory electricity drinking water1 facility toilet facility2 cooking3 at home house4 sleeping
India 96.5 95.9 80.6 69.3 40.6 40.7 60.3 2.7
North
Chandigarh 99.7 99.2 97.3 84.1 3.9 15.5 96.1 2.8
Delhi 99.9 99.5 98.7 79.8 0.8 31.3 93.7 2.8
Haryana 99.5 98.6 96.6 83.1 40.1 54.8 76.5 2.7
Himachal Pradesh 99.4 96.4 93.5 81.1 47.7 50.7 76.1 2.0
Jammu & Kashmir 99.3 92.3 94.3 75.6 30.2 70.3 75.2 2.1
Ladakh 99.4 89.3 99.4 42.3 23.1 68.2 42.7 1.8
Punjab 99.6 98.8 97.2 85.4 22.1 19.6 78.3 2.6
Rajasthan 97.9 96.4 77.5 69.6 58.5 68.3 54.4 2.7
Uttarakhand 99.4 95.5 93.6 77.9 40.5 52.7 75.7 2.5
Central
Chhattisgarh 98.5 95.6 84.7 74.5 66.4 52.5 43.2 2.4
Madhya Pradesh 98.1 88.9 73.8 62.8 59.3 51.1 45.2 2.8
Uttar Pradesh 89.8 99.2 77.1 66.9 50.3 55.8 40.5 3.0
East
Bihar 95.6 99.1 61.1 47.3 62.0 41.0 34.0 3.0
Jharkhand 93.8 86.8 66.4 55.4 67.8 40.0 42.8 2.4
Odisha 96.3 90.8 66.1 59.1 64.9 27.3 59.0 2.5
West Bengal 97.0 97.5 88.0 66.6 59.1 56.8 52.5 2.4
Northeast
Arunachal Pradesh 94.7 94.2 98.5 82.3 46.6 70.6 24.5 1.7
Assam 92.7 86.4 95.8 67.3 56.4 57.2 31.6 2.1
Manipur 97.8 77.0 99.5 62.1 29.6 67.4 22.6 2.3
Meghalaya 92.0 79.2 95.8 81.7 63.4 75.2 45.0 2.3
Mizoram 98.0 95.7 99.9 95.0 16.0 82.5 50.5 2.6
Nagaland 98.6 91.0 99.6 87.0 56.5 54.8 33.5 1.6
Sikkim 99.3 94.0 99.6 85.3 20.7 45.3 75.7 1.5
Tripura 97.9 88.5 98.9 71.5 53.0 74.7 33.0 2.3
West
Daman & Diu 99.6 96.4 90.5 62.4 18.0 26.4 74.6 3.0
Goa 100.0 98.2 96.3 87.7 2.8 22.1 90.0 2.2
Gujarat 97.2 97.5 80.7 74.0 32.2 38.9 77.2 3.0
Maharashtra 97.4 93.8 82.6 71.1 18.2 27.6 76.8 2.9
South
Andaman & Nicobar Islands 97.5 96.4 96.3 87.6 15.5 20.1 69.7 2.1
Andhra Pradesh 99.1 96.7 83.7 76.9 15.6 29.1 84.6 2.7
Karnataka 98.8 95.6 82.3 75.1 19.4 21.5 63.7 2.5
Kerala 99.5 94.9 99.7 98.5 27.4 16.2 83.4 1.8
Lakshadweep 99.7 93.2 100.0 99.8 32.5 15.5 89.1 1.8
Puducherry 99.8 99.9 90.2 84.6 5.6 11.4 88.7 2.3
Tamil Nadu 99.0 98.6 77.5 71.2 15.4 14.6 87.9 2.3
Telangana 99.3 98.7 87.3 74.4 7.7 26.4 79.2 2.6
1 See Table 2.1 for list of improved sources
2 See Table 2.2 for a list of improved toilet facilities
3 Includes coal/lignite, charcoal, wood, straw/shrubs/grass, agricultural crop waste, and dung cakes
4 Refer to Table 2.6 for definition of pucca
42
Table 2.8 Wealth quintiles by state/union territory
Percent distribution of the de jure population by wealth quintiles, according to residence and state/union territory, India, 2019-21
Wealth quintile
Gini
Residence and state/union territory Lowest Second Middle Fourth Highest Total coefficient
India 20.0 20.0 20.0 20.0 20.0 100.0 0.20

Urban 3.2 7.2 15.5 28.6 45.5 100.0 0.10
Rural 27.8 26.0 22.1 16.0 8.1 100.0 0.19
North
Chandigarh 1.1 2.2 5.8 11.5 79.4 100.0 0.11
Delhi 0.2 2.6 9.2 20.3 67.7 100.0 0.08
Haryana 2.0 8.3 15.8 26.2 47.7 100.0 0.12
Himachal Pradesh 3.8 13.4 24.7 29.2 28.9 100.0 0.14
Jammu & Kashmir 10.2 16.5 20.8 27.2 25.2 100.0 0.19
Ladakh 13.3 30.6 27.0 22.8 6.3 100.0 0.23
Punjab 1.1 5.0 11.4 21.9 60.6 100.0 0.10
Rajasthan 13.3 20.6 22.5 22.0 21.6 100.0 0.18
Uttarakhand 5.9 17.6 20.6 22.3 33.6 100.0 0.17
Central
Chhattisgarh 29.9 24.0 18.6 15.8 11.7 100.0 0.20
Madhya Pradesh 31.5 21.4 16.8 15.3 15.1 100.0 0.22
Uttar Pradesh 23.9 23.6 18.3 16.4 17.8 100.0 0.21
East
Bihar 42.8 26.1 15.4 10.3 5.4 100.0 0.22
Jharkhand 45.9 21.8 14.3 10.6 7.5 100.0 0.27
Odisha 35.1 25.2 18.3 12.6 8.7 100.0 0.23
West Bengal 32.7 26.1 19.3 14.2 7.7 100.0 0.25
Northeast
Arunachal Pradesh 23.3 31.8 24.8 15.2 4.9 100.0 0.21
Assam 38.1 32.0 16.1 9.6 4.1 100.0 0.25
Manipur 18.3 32.6 24.1 17.2 7.8 100.0 0.17
Meghalaya 31.0 34.9 20.2 9.7 4.2 100.0 0.25
Mizoram 6.6 13.2 25.2 30.2 24.8 100.0 0.13
Nagaland 27.6 28.6 21.0 15.4 7.4 100.0 0.21
Sikkim 2.7 18.9 34.7 31.0 12.8 100.0 0.14
Tripura 31.6 33.1 22.3 10.6 2.5 100.0 0.20
West
Dadra & Nagar Haveli and Daman & Diu 12.3 24.4 22.7 23.3 17.3 100.0 0.22
Goa 0.5 2.7 9.8 25.7 61.3 100.0 0.11
Gujarat 12.2 16.4 19.3 24.7 27.4 100.0 0.19
Maharashtra 8.6 15.3 22.1 26.1 27.9 100.0 0.17
South
Andaman & Nicobar Islands 8.0 15.2 25.6 33.3 18.0 100.0 0.13
Andhra Pradesh 5.2 19.2 31.2 28.9 15.6 100.0 0.13
Karnataka 7.3 18.2 28.4 27.2 19.0 100.0 0.16
Kerala 0.8 4.7 17.9 36.5 40.1 100.0 0.10
Lakshadweep 0.1 2.0 15.0 46.7 36.2 100.0 0.11
Puducherry 2.4 7.2 14.7 30.0 45.7 100.0 0.12
Tamil Nadu 4.8 15.2 26.4 29.0 24.6 100.0 0.10
Telangana 5.1 17.2 28.1 27.5 22.2 100.0 0.10
43
Table 2.9 Religion and caste/tribe of household head by wealth quintiles
Percent distribution of the de jure population by wealth quintiles, according to religion and caste/tribe of household head, India,
2019-21
Wealth quintile De jure

Background characteristic Lowest Second Middle Fourth Highest Total population

Hindu 20.5 20.5 20.4 19.6 19.1 100.0 2,251,319
Muslim 19.6 19.8 19.3 22.0 19.3 100.0 380,983
Christian 15.8 16.7 19.4 22.5 25.6 100.0 67,300
Sikh 1.6 5.7 11.9 21.6 59.1 100.0 45,088
Buddhist/Neo-Buddhist 10.3 21.2 24.0 26.7 17.8 100.0 18,356
Jain 1.6 2.8 5.4 10.2 80.1 100.0 7,048
Other 57.9 15.2 10.9 7.0 8.9 100.0 10,630

Scheduled caste 25.5 23.7 21.2 17.3 12.3 100.0 608,602
Scheduled tribe 46.3 24.4 14.9 8.9 5.4 100.0 264,888
Other backward class 16.3 20.1 21.9 22.5 19.2 100.0 1,168,032
Other 11.3 15.1 17.9 22.4 33.3 100.0 716,552
Don't know 27.9 20.2 18.9 15.8 17.2 100.0 22,650
Total 20.0 20.0 20.0 20.0 20.0 100.0 2,780,724
44
Table 2.10 Religion and caste/tribe of household head by state/union territory
Percent distribution of households by religion and caste/tribe of the household head, according to residence and state/union territory, India, 2019-21
Religion of household head Caste/tribe of household head

Buddhist/ Other
Neo- Scheduled Scheduled backward Don't
State/union territory Hindu Muslim Christian Sikh Buddhist Jain Other1 Total caste tribe class Other know Total
India 81.9 12.4 2.8 1.5 0.7 0.3 0.4 100.0 21.7 9.5 41.6 26.4 0.9 100.0
Urban 78.2 15.4 3.3 1.4 0.8 0.6 0.3 100.0 18.5 4.1 41.7 34.7 1.1 100.0
Rural 83.7 10.9 2.6 1.6 0.6 0.1 0.5 100.0 23.2 12.2 41.5 22.2 0.8 100.0
North
Chandigarh 75.9 7.6 0.5 15.9 0.0 0.0 0.0 100.0 23.4 0.6 13.8 59.7 2.6 100.0
Delhi 84.4 11.9 0.7 2.5 0.0 0.4 0.1 100.0 23.8 1.6 19.5 51.2 4.0 100.0
Haryana 90.9 5.4 0.1 3.5 0.0 0.1 0.0 100.0 29.1 1.1 28.4 40.9 0.5 100.0
Himachal Pradesh 96.0 1.8 0.2 1.3 0.7 0.0 0.0 100.0 23.8 5.3 14.7 55.9 0.3 100.0
Jammu & Kashmir 31.7 65.7 0.1 2.5 0.1 0.0 0.0 100.0 10.9 7.2 9.4 72.3 0.2 100.0
Ladakh 0.6 51.2 0.1 0.0 47.4 0.0 0.8 100.0 1.3 66.0 0.0 31.5 1.2 100.0
Punjab 38.3 1.1 1.7 58.5 0.1 0.0 0.3 100.0 44.1 0.6 13.6 39.6 2.1 100.0
45
Rajasthan 90.6 7.8 0.1 1.1 0.0 0.4 0.0 100.0 21.8 14.0 44.9 19.0 0.3 100.0
Uttarakhand 84.7 13.0 0.2 2.1 0.0 0.0 0.0 100.0 18.0 2.9 26.0 51.9 1.2 100.0
Central
Chhattisgarh 96.6 1.4 1.4 0.2 0.1 0.1 0.3 100.0 16.9 30.3 44.6 8.2 0.1 100.0
Madhya Pradesh 93.9 4.8 0.1 0.1 0.1 0.4 0.5 100.0 17.5 21.2 42.8 17.5 1.0 100.0
Uttar Pradesh 82.8 16.7 0.1 0.2 0.1 0.1 0.0 100.0 26.0 1.7 50.4 21.7 0.3 100.0
East
Bihar 85.5 14.3 0.1 0.1 0.0 0.0 0.0 100.0 23.9 3.8 53.3 18.3 0.7 100.0
Jharkhand 76.6 11.8 4.1 0.2 0.0 0.1 7.2 100.0 17.1 28.2 42.7 11.1 0.9 100.0
Odisha 94.5 2.0 3.1 0.0 0.0 0.0 0.3 100.0 19.9 24.3 34.5 20.9 0.4 100.0
West Bengal 72.2 26.6 0.7 0.0 0.2 0.0 0.2 100.0 27.1 5.9 12.2 52.5 2.4 100.0
Continued…
Table 2.10 Religion and caste/tribe of household head by state/union territory—Continued
Percent distribution of households by religion and caste/tribe of the household head, according to residence and state/union territory, India, 2019-21
Religion of household head Caste/tribe of household head

Buddhist/ Other
Neo- Scheduled Scheduled backward Don't
State/union territory Hindu Muslim Christian Sikh Buddhist Jain Other1 Total caste tribe class Other know Total
Northeast
Arunachal Pradesh 21.9 1.4 40.3 0.0 16.1 0.0 20.2 100.0 6.6 76.8 4.4 11.9 0.4 100.0
Assam 63.1 33.7 3.0 0.0 0.2 0.0 0.1 100.0 13.4 13.0 25.6 47.7 0.4 100.0
Manipur 42.0 10.2 28.6 0.1 0.0 0.3 18.8 100.0 8.0 27.9 18.5 45.1 0.6 100.0
Meghalaya 10.8 3.7 79.7 0.0 0.0 0.0 5.7 100.0 2.5 89.3 0.7 7.3 0.2 100.0
Mizoram 1.3 0.4 91.4 0.0 6.7 0.0 0.1 100.0 2.8 94.6 1.0 1.2 0.5 100.0
Nagaland 7.0 1.3 91.6 0.0 0.1 0.0 0.1 100.0 3.9 91.5 1.0 3.4 0.2 100.0
Sikkim 57.1 1.7 13.3 0.0 27.4 0.0 0.4 100.0 5.6 35.3 50.2 8.3 0.7 100.0
Tripura 85.7 7.4 4.5 0.0 2.3 0.0 0.1 100.0 23.8 27.5 18.3 29.6 0.7 100.0
West
Dadra & Nagar Haveli
46
and Daman & Diu 93.7 4.8 1.1 0.0 0.2 0.1 0.1 100.0 10.3 38.3 27.4 22.7 1.3 100.0
Goa 64.8 7.5 27.5 0.0 0.0 0.1 0.1 100.0 4.6 8.8 20.7 65.3 0.6 100.0
Gujarat 88.4 10.5 0.6 0.0 0.0 0.4 0.0 100.0 13.6 15.5 44.2 25.7 1.0 100.0
Maharashtra 80.6 10.2 1.1 0.3 6.1 1.3 0.4 100.0 17.0 11.0 27.8 42.8 1.4 100.0
South
Andaman & Nicobar
Islands 68.5 8.7 22.4 0.3 0.0 0.0 0.1 100.0 1.2 7.9 19.4 70.4 1.1 100.0
Andhra Pradesh 82.7 7.0 10.1 0.0 0.0 0.0 0.1 100.0 21.1 4.1 50.3 24.4 0.0 100.0
Karnataka 87.5 10.2 1.7 0.0 0.0 0.5 0.1 100.0 20.0 10.8 55.1 13.4 0.7 100.0
Kerala 57.0 24.0 19.0 0.0 0.0 0.0 0.0 100.0 10.9 1.8 50.3 36.4 0.6 100.0
Lakshadweep 1.1 98.5 0.4 0.0 0.0 0.0 0.0 100.0 2.5 80.5 7.0 8.8 1.1 100.0
Puducherry 94.2 2.1 3.5 0.0 0.0 0.1 0.1 100.0 20.4 0.2 74.5 4.2 0.7 100.0
Tamil Nadu 91.0 3.3 5.6 0.0 0.0 0.0 0.1 100.0 26.7 1.9 68.6 2.0 0.7 100.0
Telangana 87.1 9.6 3.0 0.1 0.1 0.0 0.1 100.0 22.5 8.2 57.3 11.2 0.8 100.0
1
Includes Jews, Parsis/Zoroastrians, those following other religions and those with no religion
Table 2.11 Household possessions
Percentage of urban, rural, and total households and de jure population possessing various household goods and
means of transport, and percentage with a bank/post office account, health insurance/financing scheme, or a BPL
card, India, 2019-21
De jure
Household possessions Urban Rural Total population
Household goods
Mattress 85.8 66.1 72.6 74.2
Pressure cooker 88.8 57.9 68.2 69.8
Chair 90.5 80.1 83.5 84.5
Cot or bed 89.5 89.4 89.4 90.5
Table 74.2 51.3 58.9 60.3
Electric fan 96.4 84.3 88.3 89.1
Radio or transistor 6.7 4.1 4.9 4.9
Television (black and white) 2.2 2.3 2.3 2.4
Television (colour) 86.0 57.1 66.7 67.7
Any television 86.8 58.4 67.8 68.9
Sewing machine 34.0 22.7 26.4 30.2
Mobile telephone 96.7 91.5 93.3 95.5
Landline telephone 4.6 1.1 2.3 2.2
Internet 64.6 41.0 48.8 53.0
Computer 19.3 4.4 9.3 9.5
Refrigerator 63.4 25.2 37.9 38.9
Air conditioner/cooler 39.5 15.8 23.7 25.4
Washing machine 36.1 9.0 18.0 18.6
Watch or clock 90.3 70.7 77.2 78.3
Water pump 22.3 17.3 19.0 20.2
Thresher 0.6 1.7 1.4 1.7
Tractor 0.7 3.9 2.9 3.8
None of the above 0.1 0.6 0.4 0.3
Means of transport
Bicycle 43.0 54.2 50.4 55.0
Motorcycle or scooter 60.6 44.3 49.7 54.1
Animal-drawn cart 0.8 4.1 3.0 3.7
Car 13.8 4.4 7.5 8.0
None of the above 22.4 25.3 24.3 19.8
Percentage having a bank account/post office account1 95.3 95.9 95.7 96.3
Percentage covered by a health insurance/financing scheme2 38.1 42.4 41.0 40.3
Percentage having a BPL card 31.0 52.1 45.1 45.3
Number 211,271 425,428 636,699 2,780,724
BPL = Below poverty line

1
Percentage of households in which any usual member of the household has a bank account/post office account
2
Percentage of households in which any usual member of the household is covered by a health insurance/financing scheme
47
Table 2.12 Household ownership of agricultural land, house, and farm animals
Percent distribution of urban, rural, and total households and de jure population owning agricultural
land by type of land and percentage owning a house and farm animals, India, 2019-21
De jure
Asset Urban Rural Total population
No agricultural land 86.9 47.8 60.8 57.7

Irrigated land only 1.1 1.3 1.2 1.3
Non-irrigated land only 3.1 11.9 9.0 9.1
Both irrigated and non-irrigated land 8.8 39.0 29.0 31.9
Total 100.0 100.0 100.0 100.0
Percentage owning a house 65.3 76.4 72.7 74.5
Percentage owning farm animals1 10.3 57.8 42.0 47.4
Number 211,271 425,428 636,699 2,780,724

1
Cows, bulls, buffaloes, camels, horses, donkeys, mules, goats, sheep, chickens, or ducks
48
Table 2.13 Handwashing
Percentage of the de jure population for whom the place most often used for washing hands was observed, and total percentage of the de jure
population for whom the place for handwashing was observed; and among the de jure population for whom the place for handwashing was observed,
percentage with water available, percentage with soap available, and percentage with a cleansing agent other than soap available; percentage of
the de jure population with a basic handwashing facility and percentage with a limited handwashing facility, according to background characteristics,
India, 2019-21
Percentage of
de jure Number of
population for persons for
whom place for
whom a place
washing hands Place for handwashing Number of Percentage of Percentage of for handwashing
was observed: observed and:
persons for the de jure the de jure was observed or
Cleansing whom place population population with no place for
Place for agent other for with a basic with a limited handwashing in
Background handwashing Number of Water Soap than soap handwashing handwashing handwashing the dwelling,
characteristic was observed persons available available1 available2 was observed facility3 facility4 yard, or plot
Residence
Urban 96.9 884,083 96.7 89.0 5.4 856,509 86.0 11.8 875,597
Rural 95.9 1,896,641 89.8 68.2 21.4 1,819,275 63.8 33.0 1,880,230
Wealth quintile
Lowest 94.1 556,190 80.0 46.4 33.9 523,304 41.2 54.2 548,807
Second 95.5 556,069 88.8 64.4 23.3 531,090 59.3 37.1 550,796
Middle 96.0 556,119 93.7 77.2 13.7 534,049 72.7 24.1 551,683
Fourth 97.2 556,159 97.6 88.3 7.5 540,790 85.3 12.6 552,564
Highest 98.3 556,187 99.4 96.8 3.8 546,551 95.5 3.6 551,978
Total 96.2 2,780,724 92.0 74.9 16.3 2,675,783 70.8 26.3 2,755,827
1
Soap includes soap or detergent in bar, liquid, powder or paste form.
2
Cleansing agents other than soap include locally available materials such as ash, mud or sand.
3 The availability of a handwashing facility on premises with soap and water.
4 The availability of a handwashing facility on premises without soap and/or water.
49
Table 2.14 Household composition
Percent distribution of households by sex of head of household, household size, and

household structure, and percentage of households with orphans and foster children under
age 18, according to residence, India, 2019-21
Characteristic Urban Rural Total
Household headship
Male 82.9 82.4 82.5
Female 17.1 17.6 17.5
Total 100.0 100.0 100.0
Number of usual members

0 0.1 0.1 0.1
1 5.0 4.8 4.8
2 14.0 13.4 13.6
3 18.6 15.8 16.7
4 25.5 21.9 23.1
5 16.9 18.0 17.6
6 9.8 12.0 11.3
7 4.4 6.3 5.7
8 2.3 3.3 3.0
9 or more 3.3 4.4 4.0
Total 100.0 100.0 100.0
Mean household size 4.2 4.5 4.4
Household structure1
Nuclear 61.3 56.7 58.2
Non-nuclear 38.7 43.3 41.8
Total 100.0 100.0 100.0
Percentage of households with orphans and

foster children under age 18
Double orphans2 0.3 0.4 0.4
Single orphans2 3.0 3.9 3.6
Foster children3 2.0 3.2 2.8
Orphans and/or foster children 5.0 6.9 6.3
Number of households 211,271 425,428 636,699

Note: Table is based on de jure members, i.e., usual residents.
1 Nuclear household are households comprised of a married couple or a man or a woman living alone
or with unmarried children (biological, adopted, or fostered) with or without unrelated individuals.
2
Double orphans are children both of whose parents are dead. Single orphans are children with one
dead parent and an unknown survival status of the other parent
3 Foster children are those under age 18 living in households with neither their mother nor their father
present, and the mother and/or the father are alive.
50
Table 2.15 Household population by age, residence, sex, and possession of an Aadhaar card
Percent distribution of the de facto household population by age and percentage of individuals who have an Aadhaar card, according to
residence and sex, India, 2019-21
Urban Rural Total

Characteristic Male Female Total Male Female Total Male Female Total
Age
0-4 7.1 6.7 6.9 9.3 8.4 8.8 8.6 7.8 8.2
5-9 8.3 7.6 7.9 10.1 9.1 9.6 9.5 8.6 9.1
10-14 8.7 7.9 8.3 10.2 9.1 9.7 9.7 8.8 9.2
15-19 9.0 8.2 8.6 9.3 9.5 9.4 9.2 9.1 9.1
20-24 8.6 8.7 8.6 7.9 8.9 8.4 8.1 8.8 8.5
25-29 8.4 9.1 8.7 7.7 8.5 8.1 7.9 8.7 8.3
30-34 8.0 8.1 8.1 6.7 7.1 6.9 7.1 7.4 7.3
35-39 7.5 8.0 7.7 6.5 6.8 6.7 6.8 7.2 7.0
40-44 6.5 6.7 6.6 5.5 5.7 5.6 5.8 6.0 5.9
45-49 6.5 6.8 6.6 5.7 6.0 5.8 5.9 6.2 6.1
50-54 5.3 5.4 5.4 4.5 4.7 4.6 4.8 4.9 4.9
55-59 4.6 5.2 4.9 4.3 4.7 4.5 4.4 4.9 4.7
60-64 4.3 4.3 4.3 4.5 4.3 4.4 4.4 4.3 4.4
65-69 3.2 3.1 3.2 3.3 2.9 3.1 3.3 3.0 3.1
70-74 2.1 1.9 2.0 2.3 1.9 2.1 2.2 1.9 2.1
75-79 1.1 1.1 1.1 1.1 1.0 1.0 1.1 1.0 1.1
80 and over 1.0 1.2 1.1 1.2 1.3 1.2 1.1 1.3 1.2
Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
Dependency age groups

0-14 24.1 22.2 23.1 29.6 26.6 28.1 27.8 25.2 26.5
15-64 68.6 70.5 69.5 62.5 66.2 64.4 64.5 67.5 66.0
65 and over 7.3 7.3 7.3 7.9 7.1 7.5 7.7 7.2 7.4
Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
Sex ratio, all ages1 na na 985 na na 1,037 na na 1,020

Sex ratio, age 0-61 na na 924 na na 930 na na 928
Aadhaar card
Percentage with an
Aadhaar card 93.0 93.0 93.0 88.8 89.1 89.0 90.2 90.3 90.2
Number of persons 443,586 437,055 880,694 926,514 961,067 1,887,676 1,370,100 1,398,122 2,768,371
na = Not applicable
1
Females per 1,000 males
51
Table 2.16 Birth registration of children under age 5
Percentage of de jure children under age 5 years whose birth was registered with the civil authorities,
according to background characteristics, India, 2019-21
Percentage of children whose

birth was registered
Registered, Registered,
has a birth does not have a Total De jure
Background characteristic certificate birth certificate registered children
Age
<2 years 70.6 18.0 88.6 86,003
2-4 years 77.5 11.8 89.4 138,223
Sex
Male 74.5 14.3 88.8 115,985
Female 75.3 14.1 89.4 108,227
Residence
Urban 82.3 11.0 93.3 60,133
Rural 72.2 15.4 87.5 164,093
Mother's schooling
No schooling 58.6 19.5 78.1 44,546
<5 years complete 72.3 15.4 87.7 11,755
5-7 years complete 74.7 14.2 89.0 32,321
8-9 years complete 78.3 13.2 91.5 40,670
10-11 years complete 80.8 12.5 93.3 30,099
12 or more years complete 82.4 11.6 94.1 60,944
Don't know/missing 68.6 17.4 86.0 152
Mother not listed in the household 70.5 13.8 84.3 3,738
Father's schooling
No schooling 62.0 17.8 79.7 22,770
<5 years complete 73.2 15.2 88.4 12,200
5-7 years complete 74.5 14.1 88.6 30,732
8-9 years complete 76.2 14.3 90.6 39,062
10-11 years complete 79.3 13.0 92.3 28,031
Don't know/missing 67.6 17.0 84.6 134
Father not listed in the household 68.9 15.9 84.8 35,095
Continued…
52
Table 2.16 Birth registration of children under age 5—Continued
Percentage of children whose

birth was registered
Registered, Registered,
has a birth does not have a Total De jure
Background characteristic certificate birth certificate registered children

Hindu 74.5 14.4 88.9 176,373
Muslim 75.6 13.2 88.8 37,698
Christian 74.0 16.8 90.8 4,748
Sikh 90.1 7.9 98.0 2,883
Buddhist/Neo-Buddhist 80.9 16.5 97.4 1,184
Jain 88.8 8.8 97.6 390
Other 58.4 19.5 77.9 949

Scheduled caste 72.9 14.9 87.8 52,392
Scheduled tribe 70.0 18.0 87.9 23,533
Other backward class 73.8 14.3 88.1 94,802
Other 81.3 11.6 92.8 51,251
Don't know 71.5 14.7 86.2 2,247
Wealth quintile
Lowest 62.4 18.4 80.7 54,362
Second 72.1 15.4 87.5 47,989
Middle 78.4 13.3 91.7 43,584
Fourth 81.4 12.0 93.4 41,412
Highest 85.4 10.0 95.4 36,879
Total 74.9 14.2 89.1 224,226
53
Table 2.17 Birth registration of children under age 5 by state/union territory
according to residence and state/union territory, India, 2019-21
India 93.3 87.5 89.1
North
Chandigarh 98.0 66.7 97.6
Delhi 94.2 99.7 94.4
Haryana 95.7 94.9 95.1
Ladakh 100.0 98.2 98.6
Punjab 97.0 98.1 97.7
Rajasthan 95.3 90.5 91.4
Central
East
Bihar 75.4 75.7 75.6
Jharkhand 83.8 71.3 73.5
Odisha 95.2 90.0 90.8
West Bengal 98.1 98.3 98.2
Northeast
Assam 97.0 96.2 96.3
Manipur 88.2 87.1 87.4
Meghalaya 87.5 81.2 82.1
Mizoram 99.4 99.4 99.4
Nagaland 79.9 70.8 73.2
Sikkim 95.4 97.1 96.5
Tripura 95.6 93.2 93.8
West
Daman & Diu 96.6 99.5 98.1
Goa 100.0 100.0 100.0
Gujarat 98.7 96.7 97.5
South
Karnataka 98.7 96.8 97.5
Kerala 99.5 98.5 99.0
Lakshadweep 100.0 100.0 100.0
Puducherry 99.0 100.0 99.3
Tamil Nadu 98.3 98.3 98.3
Telangana 92.9 88.0 90.0
54
Table 2.18 Death registration
Among deaths during the 3 years preceding the survey, percentage of deaths registered with civil authority by selected
background characteristics, according to residence and sex, India, 2019-21
Urban Rural Total

Background characteristic Male Female Total Male Female Total Male Female Total
Age
15-24 72.2 69.5 71.1 54.2 46.9 50.9 58.4 51.9 55.6
0-4 67.6 63.3 65.8 48.7 43.0 46.2 53.1 47.3 50.6
5-9 82.1 84.2 83.0 64.7 53.5 59.6 69.2 61.1 65.5
10-14 66.0 71.4 68.6 51.7 47.7 49.8 54.8 52.7 53.8
15-19 75.6 72.1 73.7 57.1 48.7 53.1 60.5 53.7 57.2
20-24 79.1 65.1 73.4 67.3 55.5 62.2 70.2 57.6 64.9
25-34 88.0 86.8 87.6 77.1 63.2 71.9 80.0 68.6 75.9
35 and over 88.1 82.5 85.8 74.6 64.1 70.1 78.7 69.5 74.8
Missing 69.6 74.7 72.6 62.9 55.3 58.8 64.5 60.6 62.3

Hindu 85.9 80.9 83.8 70.7 60.5 66.3 74.8 65.8 70.9
Muslim 80.6 73.9 77.8 62.1 50.8 57.1 69.2 59.0 64.8
Christian 92.2 85.2 89.3 73.4 70.9 72.3 81.0 76.6 79.1
Sikh 93.3 94.8 93.9 90.2 86.7 88.7 91.0 89.0 90.2
Buddhist/Neo-Buddhist 87.2 80.2 84.0 85.9 80.4 83.9 86.3 80.3 83.9
Jain 82.4 96.3 88.1 94.3 87.5 91.8 86.5 93.6 89.3
Other 67.0 78.3 73.2 43.9 35.8 40.6 47.0 45.0 46.2

Scheduled caste 83.4 76.1 80.5 68.0 58.1 63.7 72.0 62.3 67.9
Scheduled tribe 82.0 77.2 80.1 69.0 60.3 65.4 70.5 62.2 67.1
Other backward class 85.1 79.0 82.6 69.2 57.9 64.3 73.8 63.6 69.4
Other 87.7 84.3 86.2 75.5 66.8 71.7 80.0 73.4 77.1
Don't know 80.3 82.3 81.2 65.3 51.8 59.0 70.5 62.1 66.6
Wealth quintile
Lowest 70.4 56.6 65.1 56.4 43.7 51.0 57.2 44.3 51.7
Second 76.8 63.8 71.8 68.4 56.8 63.5 69.4 57.6 64.4
Middle 82.5 73.9 79.3 77.7 67.6 73.3 78.9 68.9 74.7
Fourth 86.0 82.0 84.3 82.2 75.7 79.3 83.9 78.4 81.5
Highest 90.0 86.6 88.5 86.8 80.3 83.9 89.0 84.6 87.0
Total 85.4 80.3 83.3 70.2 60.1 65.9 74.6 65.7 70.8
55
Table 2.19 Death registration by state/union territory
Among deaths during the 3 years preceding the survey, percentage of deaths registered with civil authority by state/union
territory , according to residence and sex, India, 2019-21
Urban Rural Total

State/union territory Male Female Total Male Female Total Male Female Total
India 85.4 80.3 83.3 70.2 60.1 65.9 74.6 65.7 70.8
North
Chandigarh 97.9 92.8 95.7 nc 100.0 100.0 97.9 92.9 95.7
Delhi 89.3 89.3 89.3 87.6 80.0 84.3 89.2 89.1 89.2
Haryana 90.6 85.2 88.6 87.8 83.1 86.0 88.6 83.7 86.8
Himachal Pradesh 100.0 93.4 96.3 94.4 94.6 94.5 94.9 94.4 94.7
Jammu & Kashmir 83.9 82.0 83.0 75.7 70.3 73.4 77.8 73.6 76.0
Ladakh 77.0 87.7 81.0 73.8 70.1 72.3 74.6 74.3 74.5
Punjab 92.4 95.4 93.7 92.2 87.5 90.2 92.3 90.5 91.5
Rajasthan 87.2 83.0 85.4 79.3 66.5 74.2 81.0 70.3 76.7
Uttarakhand 82.9 84.7 83.8 73.3 62.9 68.9 76.1 70.6 73.6
Central
Chhattisgarh 79.1 87.3 82.3 79.0 72.5 76.2 79.0 75.7 77.7
Madhya Pradesh 88.6 80.4 85.0 74.9 64.4 70.5 78.3 68.5 74.1
Uttar Pradesh 64.6 57.5 61.6 48.8 37.0 43.7 52.4 41.5 47.7
East
Bihar 56.5 36.9 47.6 39.9 29.0 34.7 42.1 30.0 36.4
Jharkhand 60.0 50.5 56.2 41.1 29.5 35.8 45.3 33.3 39.9
Odisha 82.8 76.3 80.2 72.7 63.1 68.5 74.4 65.1 70.4
West Bengal 90.8 84.9 88.1 79.3 68.9 74.5 82.8 73.6 78.6
Northeast
Arunachal Pradesh 47.6 41.5 44.9 37.1 32.4 35.3 38.5 33.7 36.6
Assam 81.7 77.2 79.8 67.7 54.2 62.3 69.8 57.9 65.0
Manipur 46.2 36.9 42.7 47.0 36.8 42.6 46.7 36.9 42.7
Meghalaya 66.5 58.2 62.5 52.8 51.4 52.2 55.1 52.7 54.1
Mizoram 90.1 95.2 91.5 90.3 77.8 84.9 90.1 86.8 89.0
Nagaland 56.5 66.3 59.9 33.2 32.5 32.9 39.1 39.8 39.4
Sikkim 67.7 69.4 68.3 81.3 72.2 77.3 77.3 71.6 74.9
Tripura 88.1 86.3 87.4 83.6 69.3 77.1 84.9 73.6 79.9
West
Daman & Diu 94.2 85.2 91.5 94.3 92.8 93.8 94.3 89.3 92.7
Goa 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
Gujarat 96.9 94.4 95.8 92.8 90.6 91.9 94.2 91.9 93.2
Maharashtra 93.5 91.7 92.7 89.8 85.6 88.0 91.3 88.0 89.9
South
Andaman & Nicobar Islands 97.1 93.1 95.9 90.9 84.7 89.2 93.0 88.1 91.6
Andhra Pradesh 91.6 85.3 89.2 80.6 72.6 77.3 83.7 75.9 80.5
Karnataka 91.7 85.6 89.5 87.2 81.8 85.0 88.9 83.0 86.6
Kerala 99.0 97.4 98.3 97.8 96.5 97.3 98.4 97.0 97.8
Lakshadweep 98.0 100.0 98.8 100.0 85.0 90.9 98.3 96.2 97.4
Puducherry 96.0 86.8 92.3 93.1 92.2 92.8 95.0 88.5 92.5
Tamil Nadu 95.9 92.8 94.6 94.0 89.3 92.1 94.8 90.9 93.2
Telangana 83.7 71.8 78.8 77.8 62.4 70.9 79.5 64.9 73.2
nc = No cases
56
Table 2.20 Children's living arrangements and orphanhood
Percent distribution of de jure children under age 18 years by their living arrangements and survival status of their parents, percentage of children not living with a biological parent, and
percentage of children with one or both parents dead, according to background characteristics, India, 2019-21
Living with mother Living with father but

but not with father not with mother Not living with either parent Percentage not
Living with Only Only living with a Percentage with
Background both Father Father Mother Mother Both mother father Both biological one or both Number of
characteristic parents alive dead alive dead alive alive alive dead Total parent parents dead1 children
Age
<2 83.2 15.3 0.6 0.1 0.2 0.4 0.0 0.1 0.1 100.0 0.5 0.9 86,003
2-4 84.1 12.8 1.0 0.3 0.4 1.1 0.0 0.1 0.2 100.0 1.4 1.6 138,223
5-9 82.9 11.1 1.8 0.6 0.8 2.0 0.1 0.3 0.3 100.0 2.8 3.3 251,330
10-14 81.4 9.2 3.7 0.7 1.4 2.6 0.2 0.3 0.5 100.0 3.6 6.1 256,888
15-17 78.9 7.6 5.8 0.7 1.8 3.8 0.3 0.4 0.6 100.0 5.1 8.9 151,240
Residence
Urban 86.8 6.3 3.0 0.6 0.8 1.9 0.1 0.2 0.4 100.0 2.5 4.4 247,887
Rural 80.1 12.3 2.7 0.5 1.1 2.3 0.2 0.3 0.4 100.0 3.2 4.6 635,796
57
Sex
Male 82.4 10.5 2.9 0.6 1.0 1.8 0.2 0.2 0.3 100.0 2.6 4.6 456,515
Female 81.5 10.8 2.7 0.5 1.0 2.6 0.2 0.3 0.4 100.0 3.4 4.5 427,120
Wealth quintile
Lowest 77.4 13.6 3.5 0.6 1.5 2.3 0.2 0.3 0.5 100.0 3.4 6.0 221,172
Second 79.2 12.6 3.1 0.6 1.2 2.5 0.2 0.3 0.4 100.0 3.4 5.1 192,797
Middle 82.8 9.9 2.9 0.6 0.9 2.3 0.1 0.2 0.3 100.0 3.0 4.4 172,018
Fourth 85.4 8.2 2.4 0.5 0.8 2.0 0.2 0.2 0.3 100.0 2.7 3.9 158,693
Highest 88.3 6.8 1.7 0.6 0.5 1.6 0.1 0.1 0.3 100.0 2.1 2.6 139,004
Total age <15 82.6 11.2 2.2 0.5 0.9 1.9 0.1 0.2 0.3 100.0 2.5 3.7 732,443
Total age <18 82.0 10.6 2.8 0.6 1.0 2.2 0.2 0.3 0.4 100.0 3.0 4.6 883,683
1
Includes children with father dead, mother dead, both parents dead, and one parent dead but missing information on survival status of the other parent
Table 2.21 Children's living arrangements and orphanhood by state/union territory
Percent distribution of de jure children under age 18 by children's living arrangements and survival status of parents, percentage of children not living
with a biological parent, and percentage of children with one or both parents dead, according to state/union territory, India, 2019-21
Living with mother Living with father Not living Percentage Percentage
but not with father but not with mother with either parent
not living with one or
Living Only Only with a both
with both Father Father Mother Mother Both mother father Both biological parents
State/union territory parents alive dead alive dead alive alive alive dead Total parent dead1
India 82.0 10.6 2.8 0.6 1.0 2.2 0.2 0.3 0.4 100.0 3.0 4.6
North
Chandigarh 90.4 4.6 2.6 0.3 0.6 1.4 0.1 0.0 0.1 100.0 1.6 3.4
Delhi 91.3 2.0 2.8 0.8 0.9 1.4 0.1 0.2 0.4 100.0 2.1 4.4
Haryana 88.5 4.6 3.0 0.6 1.1 1.5 0.2 0.2 0.3 100.0 2.3 4.7
Himachal Pradesh 79.1 14.9 2.4 0.7 0.6 1.7 0.1 0.1 0.3 100.0 2.3 3.5
Jammu & Kashmir 95.7 0.8 1.6 0.3 0.7 0.6 0.1 0.0 0.2 100.0 0.9 2.7
Ladakh 95.9 1.0 1.6 0.2 0.8 0.1 0.1 0.1 0.3 100.0 0.5 2.8
Punjab 85.8 6.7 2.9 0.9 1.0 1.9 0.2 0.2 0.3 100.0 2.7 4.5
Rajasthan 85.3 8.4 2.4 0.5 0.8 2.1 0.1 0.2 0.3 100.0 2.6 3.7
Uttarakhand 81.2 11.2 3.2 0.5 1.3 1.8 0.2 0.2 0.3 100.0 2.6 5.2
Central
Chhattisgarh 87.0 3.1 3.5 0.7 1.3 3.5 0.2 0.2 0.4 100.0 4.3 5.6
Madhya Pradesh 87.3 4.7 2.6 0.7 1.3 2.7 0.2 0.2 0.3 100.0 3.5 4.5
Uttar Pradesh 78.9 13.8 2.8 0.5 1.4 1.7 0.1 0.3 0.3 100.0 2.5 5.0
East
Bihar 68.0 24.7 2.2 0.5 1.1 2.7 0.1 0.5 0.3 100.0 3.6 4.1
Jharkhand 74.5 16.9 3.0 0.8 1.0 2.8 0.2 0.3 0.5 100.0 3.8 5.0
Odisha 82.6 9.3 3.6 0.4 1.3 2.0 0.3 0.2 0.4 100.0 2.8 5.7
West Bengal 83.0 9.7 2.1 0.5 0.8 2.9 0.2 0.3 0.4 100.0 3.9 3.8
Northeast
Arunachal Pradesh 81.8 5.5 3.2 1.0 1.2 4.7 0.7 0.3 1.7 100.0 7.3 6.3
Assam 88.3 4.2 3.5 0.4 1.3 1.3 0.2 0.2 0.5 100.0 2.2 5.7
Manipur 82.9 6.3 4.1 0.9 1.3 3.5 0.4 0.2 0.5 100.0 4.6 6.5
Meghalaya 80.2 9.4 5.6 0.2 0.8 1.7 0.3 0.5 1.3 100.0 3.8 7.6
Mizoram 75.5 8.1 4.5 3.5 1.3 4.5 1.0 0.4 1.1 100.0 7.0 8.1
Nagaland 84.0 3.8 2.9 1.3 1.6 4.3 0.6 0.2 1.3 100.0 6.4 6.5
Sikkim 79.0 6.1 2.6 2.5 2.0 3.7 0.8 1.2 2.4 100.0 7.9 8.7
Tripura 85.3 7.3 3.0 0.6 1.1 1.8 0.3 0.2 0.3 100.0 2.6 4.8
Continued…
58
Table 2.21 Children's living arrangements and orphanhood by state/union territory—Continued
Percent distribution of de jure children under age 18 by children's living arrangements and survival status of parents, percentage of children not living
with a biological parent, and percentage of children with one or both parents dead, according to state/union territory, India, 2019-21
Living with mother Living with father Not living Percentage Percentage
but not with father but not with mother with either parent not living with one or
Living Only Only with a both
with both Father Father Mother Mother Both mother father Both biological parents
State/union territory parents alive dead alive dead alive alive alive dead Total parent dead1
West
Daman & Diu 87.7 4.7 2.8 1.1 0.3 2.6 0.3 0.0 0.5 100.0 3.4 3.9
Goa 87.7 7.9 3.1 0.2 0.3 0.5 0.3 0.0 0.0 100.0 0.8 3.7
Gujarat 89.8 3.3 2.3 0.7 1.0 2.2 0.3 0.2 0.4 100.0 3.0 4.1
Maharashtra 90.0 3.1 2.9 0.4 0.7 2.2 0.1 0.1 0.3 100.0 2.8 4.1
South
Andaman & Nicobar Islands 87.3 3.4 2.9 0.8 1.2 3.6 0.2 0.3 0.4 100.0 4.4 4.8
Andhra Pradesh 85.7 5.5 3.6 0.9 0.9 2.7 0.2 0.2 0.4 100.0 3.5 5.2
Karnataka 86.7 5.0 3.7 0.6 0.5 2.6 0.2 0.2 0.6 100.0 3.6 5.2
Kerala 73.7 20.9 2.5 0.8 0.5 1.3 0.0 0.1 0.2 100.0 1.6 2.5
Lakshadweep 49.5 44.9 1.2 0.5 0.2 3.2 0.0 0.4 0.0 100.0 3.7 1.7
Puducherry 84.6 7.9 4.3 0.1 0.8 1.5 0.0 0.3 0.4 100.0 2.3 5.8
Tamil Nadu 80.3 12.7 3.4 0.6 0.6 1.7 0.2 0.2 0.3 100.0 2.4 4.7
Telangana 86.9 5.6 3.9 0.4 0.8 1.5 0.2 0.2 0.5 100.0 2.4 5.6
1
Includes children with father dead, mother dead, both parents dead, and one parent dead but missing information on survival status of the other parent
59
Table 2.22 Preschool attendance
Percentage of de facto household population age 2-4 years attending preschool by selected background characteristics, according to
Urban Rural Total

Background characteristic Male Female Total Male Female Total Male Female Total
Mother currently working

Not working 42.3 42.8 42.6 36.9 37.1 37.0 38.4 38.7 38.6
Working 51.2 50.3 50.8 45.5 45.4 45.4 47.0 46.6 46.8
Not in the household 42.0 42.7 42.4 35.9 36.5 36.2 37.8 38.2 38.0
Don't know, missing or incomplete
or no interview 43.6 44.5 44.1 38.7 38.9 38.8 40.1 40.4 40.2

Hindu 45.2 46.4 45.8 39.5 39.4 39.5 41.0 41.1 41.1
Muslim 37.3 36.1 36.7 31.2 32.9 32.1 33.5 34.0 33.8
Christian 46.6 50.5 48.7 45.4 48.8 47.1 45.7 49.3 47.5
Sikh 41.7 42.9 42.3 40.3 40.6 40.4 40.6 41.2 40.9
Jain 71.2 66.1 68.9 63.4 49.0 56.7 69.1 61.4 65.5
Other 44.0 36.7 40.0 27.1 35.8 31.8 30.0 36.0 33.2

Scheduled caste 42.3 41.1 41.7 37.2 37.0 37.1 38.4 38.0 38.2
Scheduled tribe 43.4 45.2 44.4 43.7 42.4 43.0 43.7 42.8 43.2
Other 46.1 47.3 46.7 42.6 43.0 42.8 44.0 44.6 44.3
Don't know 53.2 39.4 46.5 46.7 38.3 43.0 49.1 38.7 44.2
Household structure
Nuclear 42.6 43.8 43.2 39.3 37.9 38.6 40.2 39.6 39.9
Non-nuclear 44.3 44.6 44.5 38.0 39.2 38.7 39.8 40.6 40.2
Household size
1-2 members 32.6 31.0 31.7 35.2 46.8 40.5 34.9 43.8 39.2
3-5 members 45.1 46.4 45.8 41.9 42.2 42.1 42.9 43.5 43.2
6 or more members 42.0 42.1 42.1 35.9 36.2 36.0 37.4 37.6 37.5
Wealth quintile
Lowest 35.6 33.5 34.5 33.5 33.2 33.3 33.6 33.2 33.4
Second 38.4 39.0 38.7 37.8 38.4 38.1 37.9 38.5 38.2
Middle 41.6 42.1 41.9 43.0 43.2 43.1 42.6 42.9 42.8
Fourth 44.7 44.4 44.5 44.0 44.4 44.2 44.3 44.4 44.4
Highest 45.6 47.6 46.6 41.1 41.6 41.3 44.2 45.6 44.9
Total 43.6 44.3 43.9 38.6 38.8 38.7 39.9 40.3 40.1
60
Table 2.23 Preschool attendance by state/union territory
Percentage of de facto household population age 2-4 years attending preschool by state/union territory, according to
Urban Rural Total

State/union territory Male Female Total Male Female Total Male Female Total
India 43.6 44.3 43.9 38.6 38.8 38.7 39.9 40.3 40.1
North
Chandigarh 26.0 28.5 26.9 0.0 0.0 0.0 25.8 27.9 26.5
Delhi 39.7 42.2 40.8 53.0 58.7 54.7 40.2 42.5 41.2
Haryana 29.2 33.6 31.4 30.1 30.2 30.2 29.9 31.2 30.5
Jammu & Kashmir 31.0 33.9 32.5 24.9 26.2 25.6 26.4 27.9 27.2
Ladakh 35.7 25.8 31.1 24.8 34.8 30.2 27.4 33.2 30.4
Punjab 37.1 41.2 39.1 40.6 41.3 41.0 39.4 41.3 40.3
Rajasthan 36.5 36.0 36.2 28.4 28.8 28.6 29.9 30.3 30.1
Uttarakhand 41.5 34.2 37.9 42.6 41.3 41.9 42.2 39.1 40.7
Central
Chhattisgarh 31.3 37.3 34.3 31.8 33.2 32.5 31.7 34.0 32.9
Madhya Pradesh 44.2 42.3 43.2 37.3 38.2 37.8 38.9 39.2 39.0
Uttar Pradesh 18.0 17.9 17.9 14.2 14.4 14.3 15.0 15.1 15.1
East
Bihar 41.6 42.0 41.8 36.4 33.8 35.1 37.0 34.9 36.0
Jharkhand 28.4 33.0 30.5 23.8 23.6 23.7 24.7 25.1 24.9
Odisha 45.6 52.5 49.2 58.0 58.1 58.1 56.1 57.3 56.8
West Bengal 50.9 48.2 49.5 57.6 58.0 57.8 55.6 55.5 55.6
Northeast
Assam 40.1 45.8 42.9 37.5 37.6 37.6 37.8 38.4 38.1
Manipur 45.7 41.2 43.6 38.6 46.0 42.3 41.0 44.4 42.7
Meghalaya 40.0 34.9 37.3 26.2 26.0 26.1 28.0 27.4 27.7
Mizoram 36.7 32.8 35.1 38.4 36.9 37.6 37.5 35.1 36.4
Nagaland 22.1 25.8 23.9 13.5 13.8 13.6 15.8 17.0 16.4
Sikkim 81.2 76.9 78.7 70.7 71.5 71.1 74.6 73.9 74.2
Tripura 55.1 60.9 58.3 58.2 51.1 54.5 57.5 53.5 55.4
West
Daman & Diu 33.8 29.4 31.9 57.2 56.9 57.0 44.9 44.3 44.7
Goa 59.5 59.1 59.3 45.2 64.9 55.8 54.8 61.5 58.1
Gujarat 55.7 55.5 55.6 54.8 54.8 54.8 55.2 55.0 55.1
Maharashtra 62.5 59.3 60.9 70.0 70.8 70.4 66.6 65.8 66.2
South
Andhra Pradesh 75.4 73.5 74.5 77.2 74.6 75.8 76.7 74.3 75.4
Karnataka 42.2 41.8 42.0 46.2 45.7 46.0 44.7 44.2 44.5
Kerala 51.0 56.7 54.2 53.3 55.9 54.7 52.3 56.3 54.4
Lakshadweep 56.5 65.5 61.2 33.0 40.6 38.0 52.5 59.0 56.1
Puducherry 57.6 57.8 57.7 82.5 78.0 80.0 64.3 63.8 64.0
Tamil Nadu 41.8 45.8 43.8 48.8 47.2 48.0 45.7 46.5 46.1
Telangana 64.2 67.1 65.6 68.5 73.9 71.3 66.6 71.3 69.0
61
Table 2.24 Educational attainment of household population
Percent distribution of the de facto female and male household populations age six and over by highest number of years of schooling completed
and median number of years of schooling completed, according to selected background characteristics, India, 2019-21, and NFHS-4
Level of schooling Median

12 or number of
10-11 more Don't years of
No <5 years 5-7 years 8-9 years years years know/ schooling
Background characteristic schooling complete complete complete complete complete missing Total completed
FEMALE
Age
6-9 6.4 92.9 0.6 0.0 0.0 0.0 0.0 100.0 0.7
10-14 2.7 28.0 51.7 17.1 0.4 0.0 0.0 100.0 5.0
15-19 4.3 2.2 9.9 31.6 31.1 20.9 0.0 100.0 9.1
20-24 8.6 3.0 9.6 17.0 14.7 47.1 0.0 100.0 10.0
25-29 14.8 5.3 14.9 16.4 12.8 35.7 0.0 100.0 8.8
30-34 22.6 6.8 16.7 16.5 12.5 24.9 0.0 100.0 7.4
35-39 30.7 8.1 16.7 15.1 11.7 17.6 0.0 100.0 5.9
40-44 38.8 8.4 15.0 12.5 10.4 14.8 0.0 100.0 4.3
45-49 45.8 9.7 14.5 10.4 8.9 10.8 0.0 100.0 2.3
50-54 53.2 9.0 13.3 8.2 7.3 8.9 0.1 100.0 0.0
55-59 59.0 9.8 12.5 6.5 5.8 6.3 0.1 100.0 0.0
60-64 64.5 8.9 11.1 5.2 5.4 4.9 0.1 100.0 0.0
65 and over 69.9 9.4 9.3 3.5 4.2 3.7 0.1 100.0 0.0
Residence
Urban 17.4 13.4 15.4 13.2 13.4 27.1 0.0 100.0 7.5
Rural 33.2 16.5 15.9 13.6 9.0 11.8 0.0 100.0 4.0

Hindu 28.5 15.1 15.5 13.5 10.3 17.1 0.0 100.0 4.9
Muslim 29.1 18.5 17.7 13.6 9.7 11.4 0.1 100.0 4.3
Christian 17.9 15.6 15.5 13.0 13.9 23.9 0.1 100.0 7.2
Sikh 23.2 10.1 16.7 12.0 14.5 23.4 0.0 100.0 7.0
Jain 4.8 9.9 12.4 9.2 20.0 43.4 0.3 100.0 9.8
Other 34.8 17.3 13.0 14.5 7.3 13.1 0.1 100.0 3.5

Scheduled caste 32.6 16.4 15.6 13.6 9.0 12.8 0.0 100.0 4.1
Scheduled tribe 38.5 16.8 14.7 13.2 7.3 9.4 0.0 100.0 2.7
Other 19.5 14.7 15.9 14.1 12.6 23.2 0.0 100.0 7.0
Don't know 32.9 20.8 16.9 12.9 7.5 8.8 0.1 100.0 3.4
Wealth quintile
Lowest 45.7 19.9 15.1 11.7 4.3 3.2 0.0 100.0 0.4
Second 35.5 17.5 16.8 14.6 7.8 7.7 0.0 100.0 3.4
Middle 28.3 15.8 17.2 14.8 10.9 13.0 0.0 100.0 4.8
Fourth 20.0 14.1 16.6 14.5 13.7 20.9 0.0 100.0 6.9
Highest 11.4 10.3 13.1 11.7 15.2 38.2 0.1 100.0 9.3
Total 28.2 15.5 15.8 13.5 10.4 16.6 0.0 100.0 4.9
NFHS-4 (2015-2016) 31.0 16.2 16.5 12.8 9.6 13.7 0.2 100.0 4.4
Continued…
62
Table 2.24 Educational attainment of household population—Continued
Percent distribution of the de facto female and male household populations age six and over by highest number of years of schooling completed
and median number of years of schooling completed, according to selected background characteristics, India, 2019-21, and NFHS-4
Level of schooling
Median
12 or number of
10-11 more Don't years of
No <5 years 5-7 years 8-9 years years years know/ schooling
Background characteristic schooling complete complete complete complete complete missing Total completed
MALE
Age
6-9 6.4 93.0 0.6 0.0 0.0 0.0 0.0 100.0 0.7
10-14 2.3 30.8 50.7 15.8 0.3 0.0 0.0 100.0 4.9
15-19 3.4 2.6 10.5 32.7 31.7 19.2 0.0 100.0 9.1
20-24 4.5 3.0 8.6 16.8 14.2 52.8 0.1 100.0 11.2
25-29 6.6 4.6 13.0 17.6 13.8 44.4 0.1 100.0 9.7
30-34 9.2 5.7 14.9 19.3 15.3 35.6 0.1 100.0 9.1
35-39 13.1 7.0 16.2 20.3 15.9 27.4 0.1 100.0 8.4
40-44 15.8 7.8 15.6 18.9 16.2 25.6 0.1 100.0 8.1
45-49 20.2 8.7 15.3 17.0 15.5 23.3 0.1 100.0 7.7
50-54 23.5 10.2 15.3 14.9 14.8 21.2 0.1 100.0 7.1
55-59 28.2 11.4 16.3 13.2 13.1 17.6 0.1 100.0 5.4
60-64 32.7 11.7 16.3 11.7 12.9 14.6 0.2 100.0 4.6
65 and over 35.6 12.6 15.7 9.6 12.3 14.0 0.2 100.0 4.2
Residence
Urban 7.8 13.8 14.7 15.0 15.5 33.0 0.1 100.0 8.8
Rural 16.4 18.7 17.8 17.1 12.4 17.6 0.1 100.0 6.5

Hindu 12.9 16.5 16.5 16.7 13.6 23.8 0.1 100.0 7.5
Muslim 17.9 21.5 19.1 15.6 11.2 14.6 0.1 100.0 5.4
Christian 11.2 16.5 16.4 14.9 16.1 24.8 0.1 100.0 7.9
Sikh 14.2 11.8 15.9 14.4 17.8 25.8 0.0 100.0 7.8
Jain 2.3 8.9 7.7 9.7 20.1 51.5 0.0 100.0 11.1
Other 19.3 18.7 17.7 16.6 10.1 17.3 0.1 100.0 6.0

Scheduled caste 16.5 18.1 18.0 17.8 11.8 17.7 0.1 100.0 6.5
Scheduled tribe 21.2 19.8 18.0 17.0 10.1 13.7 0.1 100.0 5.2
Other 9.0 15.5 14.4 15.0 15.1 30.9 0.1 100.0 8.5
Don't know 18.4 22.8 18.9 16.8 9.7 12.8 0.6 100.0 5.1
Wealth quintile
Lowest 27.5 24.4 20.0 16.0 6.5 5.5 0.1 100.0 3.7
Second 17.6 20.3 19.8 19.1 11.1 12.0 0.1 100.0 5.7
Middle 12.5 17.0 18.3 18.5 14.5 19.2 0.1 100.0 7.2
Fourth 7.9 14.3 15.7 16.9 17.3 27.9 0.1 100.0 8.4
Highest 3.7 10.2 10.6 11.7 16.9 46.7 0.1 100.0 10.0
Total 13.5 17.1 16.8 16.4 13.4 22.7 0.1 100.0 7.3
NFHS-4 (2015-2016) 15.2 17.8 17.6 16.1 13.0 20.0 0.3 100.0 6.9
63
Table 2.25 Educational attainment of household population by state/union territory
Percent distribution of the de facto female and male household populations age six and over by highest number of years of schooling completed and median
number of years of schooling completed by sex, according to state/union territory, India, 2019-21
Level of schooling
Median number of
No <5 years 5-7 years 8-9 years 10-11 years 12 or more Don't know/ years of schooling
State/union territory schooling complete complete complete complete years complete missing Total completed
FEMALE
India 28.2 15.5 15.8 13.5 10.4 16.6 0.0 100.0 4.9
North
Chandigarh 13.3 9.4 14.4 12.3 14.7 35.9 0.1 100.0 9.1
Delhi 16.2 12.4 14.2 12.8 12.5 31.9 0.1 100.0 7.8
Haryana 26.2 11.8 16.1 13.3 11.3 21.2 0.0 100.0 6.1
Jammu & Kashmir 29.9 10.8 10.6 15.2 12.3 21.2 0.0 100.0 6.5
Ladakh 32.1 10.7 9.9 14.2 12.5 20.6 0.0 100.0 6.1
Punjab 22.8 10.5 16.0 11.8 14.8 24.2 0.0 100.0 7.1
Rajasthan 36.5 13.5 16.1 12.5 7.8 13.6 0.0 100.0 4.0
Uttarakhand 24.7 12.4 15.1 14.3 9.3 24.1 0.1 100.0 6.3
Central
Chhattisgarh 30.7 14.2 15.7 16.1 8.7 14.7 0.0 100.0 4.6
Madhya Pradesh 32.5 14.2 16.5 17.8 7.2 11.8 0.0 100.0 4.3
Uttar Pradesh 32.5 14.5 14.6 13.1 7.6 17.5 0.0 100.0 4.3
East
Bihar 38.9 18.2 13.9 11.6 8.1 9.3 0.0 100.0 2.0
Jharkhand 35.4 16.9 14.1 12.8 9.1 11.6 0.1 100.0 3.4
Odisha 28.4 18.3 16.9 15.7 9.9 10.7 0.1 100.0 4.5
West Bengal 23.1 20.9 15.7 16.8 10.4 13.0 0.1 100.0 5.0
Northeast
Assam 21.8 21.1 16.2 20.9 8.5 11.5 0.0 100.0 5.3
Manipur 16.0 18.8 13.1 19.0 11.9 21.2 0.0 100.0 7.3
Meghalaya 14.0 28.4 18.7 15.6 9.8 13.4 0.1 100.0 5.1
Mizoram 6.6 23.7 18.6 18.6 13.3 19.1 0.2 100.0 7.1
Nagaland 14.8 18.8 17.6 19.0 11.7 18.2 0.0 100.0 6.8
Sikkim 16.3 16.2 17.0 15.5 11.9 23.1 0.0 100.0 7.1
Tripura 18.1 19.8 19.3 26.5 7.8 8.4 0.1 100.0 5.7
West
Daman & Diu 25.4 15.7 16.5 17.4 9.9 14.8 0.2 100.0 5.5
Goa 11.0 13.4 11.9 11.2 19.6 32.8 0.1 100.0 9.1
Gujarat 27.1 15.2 19.6 14.9 9.2 14.0 0.0 100.0 5.4
Maharashtra 20.3 16.4 16.4 13.1 12.8 20.9 0.0 100.0 6.6
South
Andaman & Nicobar
Islands 16.4 14.1 16.6 18.5 10.8 23.5 0.1 100.0 7.3
Andhra Pradesh 34.4 13.0 18.8 8.3 12.1 13.4 0.0 100.0 4.3
Karnataka 27.0 14.7 16.4 8.6 15.7 17.5 0.0 100.0 5.9
Kerala 4.4 16.2 14.8 14.6 19.5 30.4 0.1 100.0 9.0
Lakshadweep 7.0 17.7 18.7 13.7 17.6 25.3 0.0 100.0 8.0
Puducherry 15.3 11.7 15.8 14.5 12.0 30.7 0.1 100.0 7.9
Tamil Nadu 19.6 13.8 16.3 13.8 12.1 24.3 0.0 100.0 7.0
Telangana 39.0 11.1 13.6 6.2 12.7 17.4 0.0 100.0 3.9
Continued…
64
Table 2.25 Educational attainment of household population by state/union territory—Continued
Percent distribution of the de facto female and male household populations age six and over by highest number of years of schooling completed and median
number of years of schooling completed by sex, according to state/union territory, India, 2019-21
Level of schooling
Median number of
No <5 years 5-7 years 8-9 years 10-11 years 12 or more Don't know/ years of schooling
State/union territory schooling complete complete complete complete years complete missing Total completed
MALE
India 13.5 17.1 16.8 16.4 13.4 22.7 0.1 100.0 7.3
North
Chandigarh 7.3 11.4 12.4 12.5 15.9 40.5 0.0 100.0 9.5
Delhi 6.2 12.3 13.9 15.4 16.0 36.0 0.1 100.0 9.2
Haryana 9.8 13.5 15.9 15.2 16.6 29.0 0.1 100.0 8.3
Jammu & Kashmir 15.3 11.7 10.1 16.8 16.5 29.6 0.0 100.0 8.6
Ladakh 19.1 12.0 9.5 12.3 17.0 30.2 0.0 100.0 8.5
Punjab 13.8 11.9 16.1 14.1 18.2 25.8 0.0 100.0 7.8
Rajasthan 14.6 15.2 17.4 17.5 12.9 22.4 0.1 100.0 7.3
Uttarakhand 8.9 14.9 15.6 17.8 13.7 29.0 0.2 100.0 8.1
Central
Chhattisgarh 13.5 16.6 18.4 20.0 11.4 20.1 0.1 100.0 7.1
Madhya Pradesh 15.3 15.7 18.8 21.2 10.6 18.2 0.1 100.0 7.0
Uttar Pradesh 15.1 16.9 16.1 17.8 11.4 22.6 0.1 100.0 7.2
East
Bihar 20.8 21.8 16.0 13.5 11.3 16.5 0.1 100.0 5.0
Jharkhand 17.8 19.1 16.5 16.0 12.4 18.2 0.1 100.0 6.3
Odisha 13.2 19.8 19.9 19.3 11.8 15.8 0.2 100.0 6.6
West Bengal 13.5 23.4 17.3 17.0 10.3 18.3 0.1 100.0 6.3
Northeast
Assam 13.7 22.9 18.0 20.3 9.4 15.7 0.0 100.0 6.3
Manipur 5.3 18.6 13.6 19.5 15.1 27.9 0.0 100.0 8.3
Meghalaya 14.3 29.0 17.6 14.3 10.5 14.1 0.1 100.0 5.0
Mizoram 4.1 21.5 18.4 19.6 13.5 22.6 0.2 100.0 7.6
Nagaland 9.8 18.8 17.7 17.4 13.7 22.5 0.0 100.0 7.4
Sikkim 9.1 17.6 18.0 15.9 12.9 26.4 0.1 100.0 7.5
Tripura 9.2 21.8 18.7 26.2 9.5 14.5 0.1 100.0 7.0
West
Daman & Diu 9.8 16.2 14.7 21.0 15.9 22.0 0.4 100.0 7.9
Goa 4.1 13.4 12.1 13.9 21.3 35.2 0.0 100.0 9.3
Gujarat 10.7 16.1 17.9 20.5 13.9 20.8 0.1 100.0 7.7
Maharashtra 7.7 16.5 14.5 16.1 15.5 29.6 0.1 100.0 8.5
South
Andaman & Nicobar
Islands 9.3 13.7 16.4 19.7 15.3 25.2 0.4 100.0 8.1
Andhra Pradesh 20.4 15.1 19.9 9.1 14.6 20.8 0.1 100.0 6.1
Karnataka 14.0 16.2 16.7 11.3 17.2 24.6 0.0 100.0 7.6
Kerala 2.1 15.0 15.6 16.3 21.9 28.9 0.2 100.0 9.0
Lakshadweep 2.0 15.8 17.7 12.5 25.0 26.9 0.1 100.0 9.1
Puducherry 4.7 12.2 14.5 16.6 16.1 35.8 0.1 100.0 9.1
Tamil Nadu 9.0 13.6 18.6 16.4 14.9 27.5 0.0 100.0 8.0
Telangana 21.2 13.4 15.0 7.5 16.5 26.3 0.0 100.0 7.1
65
Table 2.26 School attendance by state/union territory
Percentage of de facto household population age 6-17 years attending school in the 2019-20 by sex and residence, according to
age and state/union territory, India, 2019-21
Male Female Total

Age and state/union territory Urban Rural Total Urban Rural Total Urban Rural Total
India 89.9 87.5 88.2 91.0 84.7 86.5 90.4 86.1 87.4
Age
6-10 years (Primary) 96.1 94.5 95.0 96.2 94.1 94.7 96.1 94.3 94.8
6-13 years (Elementary) 95.6 93.9 94.4 95.8 93.2 93.9 95.7 93.5 94.2
11-13 years (Upper primary) 94.8 92.9 93.4 95.3 91.5 92.6 95.0 92.2 93.0
14-15 years (Secondary) 85.6 82.2 83.2 89.0 78.7 81.6 87.2 80.4 82.4
16-17 years (Higher secondary) 72.7 65.4 67.7 74.8 57.8 62.6 73.7 61.5 65.2
11-14 years 93.4 91.1 91.8 94.2 89.4 90.8 93.7 90.3 91.3
15-17 years 75.8 69.9 71.7 78.8 63.5 67.8 77.3 66.6 69.8
6-14 years 94.8 93.0 93.5 95.3 92.1 93.0 95.0 92.6 93.3
6-17 years 89.9 87.5 88.2 91.0 84.7 86.5 90.4 86.1 87.4
North
Chandigarh 91.1 * 90.9 91.3 * 91.2 91.2 (81.8) 91.0
Delhi 90.5 89.8 90.4 92.9 91.6 92.9 91.6 90.5 91.6
Haryana 91.2 91.0 91.1 92.4 88.9 90.0 91.7 90.1 90.6
Jammu & Kashmir 97.2 94.3 95.0 95.7 92.9 93.6 96.5 93.7 94.3
Ladakh 99.5 96.6 97.1 97.9 95.6 96.0 98.7 96.2 96.6
Punjab 88.9 89.7 89.4 90.3 90.8 90.6 89.5 90.2 90.0
Rajasthan 92.8 91.3 91.6 92.3 86.3 87.5 92.6 88.9 89.7
Uttarakhand 88.4 89.2 89.0 92.1 89.5 90.2 90.1 89.3 89.6
Central
Chhattisgarh 88.4 84.7 85.4 91.6 86.6 87.7 90.0 85.6 86.5
Madhya Pradesh 88.5 83.6 84.8 89.1 78.5 81.1 88.8 81.1 83.0
Uttar Pradesh 82.2 84.3 83.8 82.2 78.3 79.1 82.2 81.3 81.5
East
Bihar 86.9 85.9 86.1 89.4 82.7 83.6 88.1 84.3 84.8
Jharkhand 90.7 85.0 86.2 92.2 84.3 85.9 91.4 84.7 86.1
Odisha 88.5 85.9 86.4 89.1 82.6 83.6 88.8 84.3 85.0
West Bengal 90.6 87.5 88.4 94.1 91.1 91.9 92.3 89.3 90.2
Northeast
Assam 89.1 87.4 87.6 94.2 89.3 89.8 91.5 88.3 88.7
Manipur 96.0 94.4 95.0 95.1 93.3 94.0 95.6 93.9 94.5
Meghalaya 95.3 87.1 88.4 98.4 92.2 93.3 97.0 89.5 90.8
Mizoram 94.2 92.0 93.1 95.7 90.5 93.2 94.9 91.3 93.2
Nagaland 94.2 88.2 90.1 94.1 91.0 92.0 94.2 89.6 91.0
Sikkim 96.6 93.9 94.9 96.1 95.4 95.6 96.3 94.6 95.2
Tripura 94.1 89.6 90.8 96.0 88.9 90.4 94.9 89.2 90.6
Continued…
66
Table 2.26 School attendance by state/union territory—Continued
Percentage of de facto household population age 6-17 years attending school in the 2019-20 by sex and residence, according to
age and state/union territory, India, 2019-21
Male Female Total

Age and state/union territory Urban Rural Total Urban Rural Total Urban Rural Total
West
Daman & Diu 84.3 80.0 81.9 90.5 81.1 85.1 87.1 80.5 83.4
Goa 97.0 97.2 97.1 94.4 95.4 94.8 95.9 96.4 96.1
Gujarat 88.8 81.9 84.7 84.5 76.0 79.2 86.8 79.1 82.1
Maharashtra 93.0 92.5 92.8 94.0 90.9 92.3 93.5 91.7 92.5
South
Andhra Pradesh 93.8 92.3 92.8 93.5 90.4 91.3 93.7 91.4 92.1
Karnataka 93.2 91.4 92.1 94.0 90.0 91.5 93.6 90.7 91.9
Kerala 97.7 98.0 97.8 99.3 98.5 98.9 98.5 98.2 98.4
Lakshadweep 97.7 92.9 96.6 94.6 86.6 92.8 96.1 89.6 94.6
Puducherry 91.4 94.0 92.1 94.5 98.3 95.8 92.8 96.2 93.8
Tamil Nadu 91.5 93.0 92.3 95.5 92.5 93.9 93.4 92.7 93.0
Telangana 92.7 93.4 93.2 95.2 91.8 93.1 93.9 92.7 93.1
Note: In this table, children's age refers to their age at the start of the 2019-20 school year (assumed here to be April 2019). Figures in
parentheses are based on 25-49 unweighted cases. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been
suppressed.
67
Table 2.27 School attendance ratios
Net attendance ratios (NAR), gross attendance ratios (GAR), and Gender Parity Index (GPI) for the de facto household population by
level of schooling and sex, according to selected background characteristics, India, 2019-21
Net attendance ratio1 Gender Gross attendance ratio3 Gender

Background characteristic Male Female Total Parity Index2 Male Female Total Parity Index2
PRIMARY SCHOOL
Residence
Urban 84.4 83.1 83.8 0.98 91.5 88.8 90.2 0.97
Rural 83.3 82.6 83.0 0.99 93.1 91.1 92.1 0.98

Hindu 83.6 82.6 83.2 0.99 91.9 89.8 90.9 0.98
Muslim 83.2 82.6 82.9 0.99 96.5 93.3 94.9 0.97
Christian 85.3 86.1 85.7 1.01 94.5 94.5 94.5 1.00
Sikh 84.3 81.4 83.0 0.97 87.7 84.9 86.4 0.97
Buddhist/Neo-Buddhist 86.2 88.2 87.2 1.02 96.3 91.4 93.9 0.95
Jain 93.5 88.1 91.0 0.94 94.9 90.4 92.8 0.95
Other 81.9 83.4 82.7 1.02 96.0 95.5 95.8 1.00

Scheduled caste 82.5 82.1 82.3 1.00 92.0 89.7 90.9 0.98
Scheduled tribe 81.9 82.0 81.9 1.00 90.5 90.1 90.3 1.00
Other backward class 83.5 81.8 82.7 0.98 92.6 89.9 91.3 0.97
Other 85.8 85.3 85.6 0.99 94.3 92.1 93.3 0.98
Don't know 82.8 86.1 84.5 1.04 91.7 92.2 91.9 1.01
Wealth quintile
Lowest 80.8 80.8 80.8 1.00 94.1 92.4 93.2 0.98
Second 84.4 83.2 83.8 0.99 94.6 92.2 93.5 0.97
Middle 84.3 83.4 83.9 0.99 92.7 89.8 91.3 0.97
Fourth 85.2 83.4 84.3 0.98 91.3 88.5 90.0 0.97
Highest 84.6 84.0 84.4 0.99 89.0 87.3 88.2 0.98
Total 83.6 82.7 83.2 0.99 92.6 90.4 91.6 0.98
Continued…
68
Table 2.27 School attendance ratios—Continued
Net attendance ratios (NAR), gross attendance ratios (GAR), and Gender Parity Index (GPI) for the de facto household population by
level of schooling and sex, according to selected background characteristics, India, 2019-21
Net attendance ratio1 Gross attendance ratio3

Gender Gender
Background characteristic Male Female Total Parity Index2 Male Female Total Parity Index2
MIDDLE, SECONDARY, AND HIGHER SECONDARY SCHOOL
Residence
Urban 75.2 76.8 76.0 1.02 86.1 87.9 87.0 1.02
Rural 71.2 67.9 69.6 0.95 82.3 78.1 80.2 0.95

Hindu 74.0 71.5 72.8 0.97 85.5 82.4 84.0 0.96
Muslim 62.2 62.9 62.5 1.01 71.0 71.0 71.0 1.00
Christian 76.5 78.9 77.7 1.03 87.0 88.6 87.8 1.02
Sikh 80.4 79.8 80.1 0.99 92.4 92.0 92.2 1.00
Buddhist/Neo-Buddhist 80.7 86.0 83.1 1.07 91.9 97.2 94.3 1.06
Jain 87.8 87.0 87.4 0.99 92.6 94.7 93.6 1.02
Other 64.6 68.2 66.4 1.06 73.3 75.8 74.5 1.03

Scheduled caste 70.2 68.0 69.2 0.97 81.3 78.3 79.8 0.96
Scheduled tribe 66.1 64.1 65.1 0.97 77.3 73.8 75.6 0.96
Other backward class 73.2 70.4 71.8 0.96 84.5 81.2 82.9 0.96
Other 76.1 75.9 76.0 1.00 86.4 86.0 86.2 1.00
Don't know 60.2 64.6 62.3 1.07 69.8 72.7 71.2 1.04
Wealth quintile
Lowest 59.0 57.3 58.2 0.97 68.2 65.8 67.0 0.97
Second 70.7 68.2 69.5 0.97 81.6 78.4 80.0 0.96
Middle 74.3 73.6 74.0 0.99 86.1 84.4 85.3 0.98
Fourth 78.6 77.0 77.8 0.98 90.3 88.8 89.6 0.98
Highest 84.1 83.0 83.6 0.99 96.4 94.7 95.6 0.98
Total 72.4 70.4 71.4 0.97 83.4 80.9 82.2 0.97
Note: In this table, children's age refers to their age at the start of the 2019-20 (assumed here to be April 2019).
1
The NAR for primary school (standards 1-5) is the percentage of the primary-school age population (6-10 years) that is attending primary school.
The NAR for middle, secondary, and higher secondary school (standards 6-12) is the percentage of the population in the appropriate age group for
those school levels (11-17 years) that is attending those school levels. By definition, the NAR cannot exceed 100.0 percent.
2
The GPI for primary school is the ratio of the primary school NAR (GAR) for females to the NAR (GAR) for males. The gender parity index for middle,
secondary, and higher secondary school is the ratio of the NAR (GAR) for females to the NAR (GAR) for males at those levels of school.
3
The GAR for primary school (standards 1-5) is the total number of primary school students, expressed as a percentage of the official primary- school-
age population (6-10 years). The GAR for middle, secondary, and higher secondary school (standards 6-12) is the total number of students in those
school levels, expressed as a percentage of the official population that is the appropriate age to be attending those school levels. If there are
significant numbers of overage and underage students at a given level of schooling, the GAR can exceed 100.0.
69
Table 2.28 Reasons for children currently not attending school
Percent distribution of de facto children age 6-17 years who dropped out of school before the 2019-20 school year by the main reason for
not attending school in that school year, according to residence and sex, India, 2019-21
Urban Rural Total

Main reason Male Female Male Female Male Female
School too far away 1.5 2.8 2.6 7.0 2.3 6.2
Transport not available 0.7 1.0 0.8 1.7 0.7 1.5
Further education not considered necessary 3.2 5.4 3.9 3.4 3.7 3.8
Required for household work 9.5 13.9 9.9 13.2 9.8 13.3
Required for work on farm/family business 4.3 2.2 4.4 2.3 4.4 2.3
Required for outside work for payment in cash or kind 8.2 3.0 5.5 2.3 6.2 2.5
Costs too much 14.9 20.0 16.5 20.8 16.1 20.6
No proper school facilities for girls 0.1 1.2 0.2 1.8 0.2 1.7
Due to disaster/ natural calamity 0.6 0.9 0.5 0.4 0.5 0.5
Not safe to send girls 0.2 2.0 0.1 2.0 0.1 2.0
No female teacher 0.2 0.3 0.2 0.2 0.2 0.2
Required for care of siblings 0.3 0.7 0.4 0.7 0.4 0.7
Not interested in studies 34.6 21.5 36.1 21.4 35.7 21.4
Repeated failures 5.5 3.4 5.3 4.0 5.3 3.9
Got married 0.3 5.0 0.3 7.2 0.3 6.8
Did not get admission 5.2 6.0 4.9 4.5 5.0 4.8
Other 10.5 10.9 8.3 7.0 8.9 7.7
Don't know 0.2 0.0 0.2 0.2 0.2 0.2
Total 100.0 100.0 100.0 100.0 100.0 100.0
Number of children 5,152 4,065 14,933 17,786 20,084 21,851
70
Table 2.29 Disability
Percentage of de jure household population having disability by type of disability, according to residence, age, and
sex, India, 2019-21
Type of disability
Background Hearing Speech Visual Mental Locomotor
characteristic Any disability disability disability disability disability Other Number
FEMALE
Residence
Urban 0.7 0.1 0.1 0.1 0.1 0.3 0.1 437,059
Rural 0.8 0.2 0.2 0.1 0.2 0.3 0.1 960,031
Age
0-4 0.3 0.0 0.1 0.0 0.0 0.1 0.0 108,227
5-14 0.6 0.1 0.2 0.1 0.2 0.2 0.0 243,793
15-24 0.7 0.1 0.2 0.1 0.2 0.2 0.1 248,154
25-34 0.8 0.1 0.2 0.1 0.2 0.3 0.1 223,445
35-49 0.9 0.1 0.1 0.1 0.2 0.3 0.1 272,973
50-69 0.9 0.2 0.1 0.1 0.1 0.3 0.1 241,909
70 and over 1.6 0.4 0.1 0.3 0.1 0.6 0.1 58,391
Don't know/missing 1.1 0.8 0.0 0.0 0.0 0.4 0.0 198
Total 0.8 0.1 0.2 0.1 0.2 0.3 0.1 1,397,090
MALE
Residence
Urban 1.0 0.1 0.2 0.1 0.2 0.4 0.1 446,956
Rural 1.2 0.2 0.2 0.2 0.2 0.5 0.1 936,525
Age
0-4 0.3 0.1 0.1 0.0 0.1 0.2 0.0 115,985
5-14 0.8 0.1 0.3 0.1 0.2 0.3 0.1 264,394
15-24 1.0 0.1 0.3 0.1 0.4 0.3 0.1 239,760
25-34 1.2 0.1 0.2 0.1 0.3 0.5 0.1 209,306
35-49 1.4 0.2 0.2 0.2 0.3 0.6 0.2 258,881
50-69 1.5 0.2 0.1 0.2 0.1 0.7 0.2 233,924
70 and over 2.2 0.6 0.1 0.4 0.1 0.9 0.3 61,089
Total 1.2 0.2 0.2 0.1 0.2 0.5 0.1 1,383,481
Continued…
71
Table 2.29 Disability—Continued
Percentage of de jure household population having disability by type of disability, according to residence, age, and
sex, India, 2019-21
Type of disability
Background Hearing Speech Visual Mental Locomotor
characteristic Any disability disability disability disability disability Other Number
TRANSGENDER
Residence
Urban 0.0 0.0 0.0 0.0 0.0 0.0 0.0 68
Rural 0.1 0.0 0.1 0.0 0.0 0.1 0.0 85
Age
0-4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 13
5-14 0.0 0.0 0.0 0.0 0.0 0.0 0.0 30
15-24 0.8 0.0 0.8 0.0 0.0 0.8 0.0 14
25-34 0.0 0.0 0.0 0.0 0.0 0.0 0.0 14
35-49 0.0 0.0 0.0 0.0 0.0 0.0 0.0 28
50-69 0.0 0.0 0.0 0.0 0.0 0.0 0.0 16
70 and over 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27
Total 0.1 0.0 0.1 0.0 0.0 0.1 0.0 153
TOTAL
Residence
Urban 0.9 0.1 0.2 0.1 0.2 0.4 0.1 884,083
Rural 1.0 0.2 0.2 0.1 0.2 0.4 0.1 1,896,641
Age
0-4 0.3 0.1 0.1 0.0 0.1 0.1 0.0 224,226
5-14 0.7 0.1 0.2 0.1 0.2 0.2 0.1 508,218
15-24 0.9 0.1 0.2 0.1 0.3 0.3 0.1 487,927
25-34 1.0 0.1 0.2 0.1 0.3 0.4 0.1 432,764
35-49 1.1 0.2 0.2 0.1 0.2 0.5 0.1 531,882
50-69 1.2 0.2 0.1 0.2 0.1 0.5 0.2 475,849
70 and over 1.9 0.5 0.1 0.3 0.1 0.7 0.2 119,507
Total 1.0 0.2 0.2 0.1 0.2 0.4 0.1 2,780,724
Note: Table is based on the responses of the respondent to the household questionnaire.
72
Table 2.30 Prevalence of any disability
Percentage of de jure household population age 15 and over having any form of disability by selected background characteristics, according
to residence and sex, India, 2019-21
Urban Rural Total

Background characteristic Female Male Transgender Total Female Male Transgender Total Female Male Transgender Total
Age
15-24 0.6 0.8 0.0 0.7 0.7 1.1 1.3 0.9 0.7 1.0 0.8 0.9
25-34 0.7 1.0 0.0 0.8 0.8 1.4 0.0 1.1 0.8 1.2 0.0 1.0
35-49 0.7 1.2 0.0 1.0 0.9 1.6 0.0 1.2 0.9 1.4 0.0 1.1
50 and over 0.9 1.4 0.0 1.1 1.1 1.7 0.0 1.4 1.1 1.6 0.0 1.3
Level of schooling
No schooling 1.5 3.7 0.0 2.2 1.3 2.7 0.4 1.7 1.3 2.9 0.2 1.8
<5 years complete 1.1 1.9 0.0 1.4 1.0 1.9 0.0 1.5 1.1 1.9 0.0 1.5
5-7 years complete 0.8 1.4 0.0 1.1 0.8 1.5 0.0 1.2 0.8 1.5 0.0 1.2
8-9 years complete 0.7 1.1 0.0 0.9 0.7 1.2 0.0 1.0 0.7 1.2 0.0 1.0
10-11 years complete 0.5 0.8 0.0 0.7 0.5 0.9 0.0 0.7 0.5 0.9 0.0 0.7
12 or more years complete 0.4 0.5 0.0 0.5 0.4 0.8 0.0 0.6 0.4 0.7 0.0 0.5
Don't know/ missing 4.0 1.5 nc 2.4 1.2 0.3 nc 0.6 2.2 0.7 nc 1.2

Hindu 0.8 1.2 0.0 1.0 0.9 1.5 0.0 1.2 0.9 1.4 0.0 1.1
Muslim 0.7 1.1 0.0 0.9 0.9 1.4 4.0 1.2 0.8 1.3 1.0 1.0
Christian 1.0 1.4 0.0 1.2 1.0 1.4 nc 1.2 1.0 1.4 0.0 1.2
Sikh 1.0 1.2 0.0 1.1 1.1 1.8 0.0 1.5 1.1 1.6 0.0 1.4
Buddhist/Neo-Buddhist 0.5 0.8 0.0 0.6 1.5 2.3 0.0 1.9 1.1 1.7 0.0 1.4
Jain 0.8 0.7 nc 0.8 1.8 3.2 nc 2.5 1.0 1.1 nc 1.1
Others 0.9 0.8 0.0 0.9 0.7 1.5 0.0 1.1 0.8 1.3 0.0 1.0

Scheduled caste 0.9 1.2 0.0 1.1 0.9 1.5 0.0 1.2 0.9 1.5 0.0 1.2
Scheduled tribe 0.9 1.0 0.0 0.9 0.9 1.3 0.0 1.0 0.9 1.2 0.0 1.0
Other backward class 0.8 1.2 0.0 1.0 0.9 1.5 0.0 1.2 0.9 1.4 0.0 1.1
Others 0.7 1.0 0.0 0.8 0.9 1.5 0.7 1.2 0.8 1.3 0.3 1.0
Don't know 0.6 1.1 0.0 0.8 1.4 1.8 0.0 1.6 1.1 1.5 0.0 1.3
Wealth quintile
Lowest 1.7 2.1 0.0 1.9 1.1 1.8 0.0 1.4 1.2 1.8 0.0 1.5
Second 1.3 1.8 0.0 1.6 0.9 1.6 0.0 1.2 1.0 1.6 0.0 1.3
Middle 1.0 1.4 0.0 1.2 0.9 1.4 0.0 1.1 0.9 1.4 0.0 1.2
Fourth 0.8 1.2 0.0 1.0 0.7 1.2 0.0 0.9 0.7 1.2 0.0 1.0
Highest 0.6 0.9 0.0 0.7 0.6 1.0 2.2 0.8 0.6 0.9 0.5 0.7
Total 0.8 1.1 0.0 0.9 0.9 1.5 0.2 1.2 0.9 1.4 0.1 1.1
nc = No cases
73
Table 2.31 Prevalence of any disability by state/union territory
Percentage of de jure household population age 15 and over having any form of disability by state/union territory, according to residence and sex, India,
2019-21
Urban Rural Total

State/union territory Female Male Transgender Total Female Male Transgender Total Female Male Transgender Total
India 0.8 1.1 0.0 0.9 0.9 1.5 0.2 1.2 0.9 1.4 0.1 1.1
North
Chandigarh 0.7 0.9 nc 0.8 3.1 2.6 nc 2.9 0.7 0.9 nc 0.8
Delhi 0.5 0.9 0.0 0.7 0.9 1.4 nc 1.1 0.5 0.9 0.0 0.7
Haryana 0.5 0.9 0.0 0.7 0.8 1.2 0.0 1.0 0.7 1.1 0.0 0.9
Himachal Pradesh 0.3 0.2 nc 0.2 0.7 0.9 nc 0.8 0.6 0.8 nc 0.7
Jammu & Kashmir 0.6 0.9 0.0 0.8 0.8 1.0 0.0 0.9 0.7 1.0 0.0 0.9
Ladakh 1.7 1.3 0.0 1.5 1.2 1.1 0.0 1.1 1.3 1.1 0.0 1.2
Punjab 1.1 1.4 0.0 1.2 1.1 1.9 0.0 1.5 1.1 1.7 0.0 1.4
Rajasthan 0.6 1.0 0.0 0.8 0.6 1.1 0.0 0.9 0.6 1.1 0.0 0.9
Uttarakhand 0.5 1.2 0.0 0.9 0.8 1.4 0.0 1.1 0.7 1.4 0.0 1.0
Central
Chhattisgarh 0.5 1.3 0.0 0.9 0.9 1.2 0.0 1.0 0.8 1.2 0.0 1.0
Madhya Pradesh 0.8 1.5 0.0 1.2 1.1 1.9 0.0 1.5 1.0 1.8 0.0 1.4
Uttar Pradesh 0.6 0.9 0.0 0.8 0.6 1.2 0.0 0.9 0.6 1.1 0.0 0.9
East
Bihar 0.7 1.1 0.0 0.9 0.8 1.5 0.0 1.1 0.8 1.4 0.0 1.1
Jharkhand 0.3 0.8 0.0 0.6 0.6 1.0 0.0 0.8 0.5 1.0 0.0 0.7
Odisha 0.7 1.3 0.0 1.0 1.0 1.3 0.0 1.1 0.9 1.3 0.0 1.1
West Bengal 0.6 0.9 0.0 0.8 1.0 1.8 0.0 1.4 0.9 1.5 0.0 1.2
Northeast
Assam 0.6 0.8 0.0 0.7 0.7 1.0 4.7 0.9 0.7 1.0 3.3 0.9
Manipur 1.0 1.7 nc 1.4 0.8 1.5 nc 1.1 0.9 1.6 0.0 1.2
Meghalaya 0.9 1.0 nc 1.0 0.7 1.0 nc 0.8 0.8 1.0 nc 0.9
Mizoram 0.5 0.9 nc 0.7 1.1 1.5 nc 1.3 0.8 1.2 nc 1.0
Nagaland 0.3 0.6 nc 0.5 1.0 1.4 nc 1.2 0.8 1.1 nc 0.9
Sikkim 0.5 0.5 nc 0.5 1.4 2.0 nc 1.7 1.1 1.4 nc 1.2
Tripura 0.7 1.2 nc 1.0 1.0 1.4 nc 1.2 0.9 1.4 nc 1.1
West
Daman & Diu 0.9 0.8 nc 0.8 0.4 0.9 nc 0.7 0.6 0.8 nc 0.7
Goa 0.2 1.0 nc 0.6 0.9 1.0 nc 1.0 0.5 1.0 nc 0.7
Gujarat 0.7 0.9 0.0 0.8 0.9 1.2 0.0 1.0 0.8 1.0 0.0 0.9
Maharashtra 1.0 1.3 0.0 1.1 1.1 2.0 0.0 1.5 1.0 1.7 0.0 1.4
South
Andaman & Nicobar Islands 0.5 1.3 nc 0.9 0.8 1.1 nc 1.0 0.7 1.2 nc 1.0
Andhra Pradesh 0.8 0.8 0.0 0.8 0.9 1.2 0.0 1.1 0.9 1.1 0.0 1.0
Karnataka 0.7 1.2 0.0 1.0 1.3 2.0 0.0 1.7 1.1 1.7 0.0 1.4
Kerala 0.7 1.6 0.0 1.1 1.3 1.5 nc 1.4 1.0 1.6 0.0 1.3
Lakshadweep 1.6 1.4 nc 1.5 3.3 3.1 nc 3.2 2.0 1.8 nc 1.9
Puducherry 1.2 1.1 nc 1.2 1.1 1.2 nc 1.1 1.1 1.2 nc 1.2
Tamil Nadu 1.1 1.6 0.0 1.3 1.3 1.9 0.0 1.6 1.2 1.8 0.0 1.5
Telangana 1.0 1.0 0.0 1.0 1.2 1.6 0.0 1.4 1.1 1.4 0.0 1.2
nc = No cases
74
Table 2.32 Household possession of mosquito nets
Percentage of households with at least one mosquito net (treated or untreated) and insecticide-treated net (ITN); average number of nets and
ITNs per household; and percentage of households with at least one net and ITN per two persons who stayed in the household last night,
Percentage of households with

at least one net for every two
Percentage of households with Average number of nets persons who stayed in the
at least one mosquito net per household household last night
Insecticide-treated Insecticide-treated Insecticide-treated
Any mosquito net Any mosquito net Any mosquito net
Background characteristic mosquito net (ITN)1 mosquito net (ITN)1 mosquito net (ITN)1
Residence
Urban 23.9 4.4 0.5 0.1 13.2 2.0
Rural 42.4 9.6 0.9 0.2 23.3 4.9
Wealth quintile
Lowest 53.9 12.7 1.0 0.2 28.7 6.9
Second 44.8 9.3 0.9 0.2 24.8 4.7
Middle 33.8 7.2 0.7 0.1 18.8 3.4
Fourth 27.6 5.9 0.6 0.1 15.4 2.7
Highest 19.8 4.1 0.5 0.1 11.4 2.0
India 36.2 7.9 0.8 0.2 19.9 4.0
North
Chandigarh 1.7 0.4 0.0 0.0 0.4 0.1
Delhi 8.1 0.7 0.1 0.0 2.7 0.3
Haryana 17.5 3.1 0.4 0.1 7.3 1.2
Jammu & Kashmir 2.3 0.9 0.0 0.0 0.3 0.2
Ladakh 1.2 0.9 0.0 0.0 0.1 0.0
Punjab 8.1 2.4 0.1 0.0 2.9 0.8
Rajasthan 4.1 1.1 0.1 0.0 1.1 0.3
Uttarakhand 19.0 2.4 0.5 0.1 10.4 1.1
Central
Chhattisgarh 49.0 25.5 1.0 0.5 26.1 13.3
Madhya Pradesh 32.0 15.6 0.7 0.3 16.8 8.7
Uttar Pradesh 40.8 5.7 1.0 0.1 20.1 2.4
East
Bihar 78.2 1.8 1.5 0.0 34.7 0.6
Jharkhand 74.6 32.8 1.6 0.6 39.9 14.8
Odisha 81.3 38.8 1.7 0.8 52.4 25.9
West Bengal 87.8 5.7 1.9 0.1 58.9 3.0
Continued…
75
Table 2.32 Household possession of mosquito nets—Continued
Percentage of households with at least one mosquito net (treated or untreated) and insecticide-treated net (ITN); average number of nets and
ITNs per household; and percentage of households with at least one net and ITN per two persons who stayed in the household last night,
Percentage of households with

at least one net for every two
Percentage of households with Average number of nets persons who stayed in the
at least one mosquito net per household household last night
Insecticide-treated Insecticide-treated Insecticide-treated
Any mosquito net Any mosquito net Any mosquito net
Background characteristic mosquito net (ITN)1 mosquito net (ITN)1 mosquito net (ITN)1
Northeast
Assam 97.7 24.0 2.6 0.5 78.6 12.4
Manipur 97.1 15.0 3.4 0.2 87.5 4.5
Meghalaya 72.1 27.7 1.7 0.6 40.1 16.0
Mizoram 93.7 40.4 2.3 0.9 70.9 26.4
Nagaland 70.9 64.6 1.5 1.3 49.4 42.9
Sikkim 7.6 2.2 0.1 0.0 4.1 1.5
Tripura 97.9 15.7 2.1 0.3 77.7 8.1
West
Daman & Diu 34.9 14.3 0.6 0.2 12.1 4.0
Goa 5.3 1.3 0.1 0.0 2.8 0.7
Gujarat 16.4 6.9 0.3 0.1 6.0 2.3
Maharashtra 8.3 2.5 0.1 0.0 2.8 0.8
South
Andhra Pradesh 16.8 6.6 0.3 0.1 8.8 3.4
Karnataka 22.9 7.7 0.4 0.1 8.7 2.8
Kerala 4.7 1.6 0.1 0.0 1.7 0.6
Lakshadweep 2.1 1.1 0.0 0.0 0.5 0.3
Puducherry 6.2 2.0 0.1 0.0 2.3 1.3
Tamil Nadu 5.9 2.0 0.1 0.0 1.9 0.6
Telangana 7.5 3.3 0.1 0.0 2.8 1.3
1 An insecticide-treated net (ITN) is a factory-treated net that does not require any further treatment. In NFHS-4, this was known as a long-lasting insecticidal net
(LLIN).
76
Table 2.33 Use of alcohol by the population age 15 and over
Percentage of the de facto household population age 15 years and over who currently drink alcohol, as reported by the household
respondent, according to background characteristics, India, 2019-21
Number Number
Women of Men of
Background characteristic Urban Rural Total women Urban Rural Total men
Age
15-19 0.2 0.3 0.3 127,052 1.4 2.2 1.9 125,472
20-34 0.4 0.9 0.8 347,967 13.9 16.6 15.6 317,016
35-49 0.6 2.0 1.5 271,230 24.3 29.1 27.4 254,748
50-64 0.9 2.8 2.2 198,163 21.2 26.5 24.7 186,418
65 and over 0.8 2.5 2.0 100,506 13.1 18.1 16.6 105,134
Schooling
No schooling 1.2 2.9 2.6 346,990 27.7 30.2 29.7 156,277
<5 years complete 0.7 1.5 1.3 71,450 26.8 27.4 27.3 70,952
5-7 years complete 0.4 0.9 0.8 135,385 24.1 25.0 24.7 137,685
8-9 years complete 0.4 0.7 0.6 149,487 18.3 18.5 18.4 180,333
10-11 years complete 0.4 0.5 0.5 130,828 14.5 14.6 14.6 163,926
12 or more years complete 0.4 0.4 0.4 210,325 10.7 9.6 10.1 278,669
Don't know/ missing 0.0 0.3 0.2 452 17.5 23.6 21.4 947

Hindu 0.6 1.7 1.3 851,938 18.4 21.2 20.3 808,855
Muslim 0.3 0.3 0.3 134,517 6.2 4.4 5.2 124,544
Christian 1.5 3.6 2.8 27,171 23.0 31.5 28.3 24,339
Sikh 0.6 0.4 0.4 17,247 20.2 24.9 23.5 17,831
Buddhist/Neo-Buddhist 1.0 2.3 1.8 7,207 21.6 26.4 24.5 6,817
Jain 1.0 0.2 0.8 2,914 6.4 3.8 5.9 2,846
Others 4.5 15.6 13.3 3,925 31.7 51.0 46.8 3,555

Scheduled caste 0.7 1.2 1.0 224,930 24.6 25.4 25.2 210,870
Scheduled tribe 2.6 7.0 6.4 96,590 25.4 33.9 32.7 90,530
Other backward class 0.4 0.9 0.8 439,340 15.1 17.1 16.4 412,076
Others 0.5 0.5 0.5 276,010 12.9 12.2 12.5 267,903
Don't know 0.5 2.1 1.4 8,050 18.7 22.2 20.7 7,409
Wealth quintile
Lowest 2.1 3.5 3.4 194,190 30.3 26.4 26.6 171,153
Second 1.1 1.4 1.3 205,010 25.4 20.6 21.2 188,884
Middle 0.7 0.9 0.9 210,598 22.1 18.3 19.3 201,522
Fourth 0.5 0.6 0.5 214,674 17.0 14.9 15.9 208,540
Highest 0.4 0.5 0.4 220,446 12.4 13.7 12.8 218,690
Total 0.6 1.6 1.3 1,044,919 16.5 19.9 18.7 988,788
77
Table 2.34 Use of alcohol by the population age 15 and over by state/union territory
Percentage of the de facto household population age 15 years and over who currently drink alcohol,
as reported by the household respondent, according to state/union territory, India, 2019-21
Women Men
State/union territory Urban Rural Total Urban Rural Total
India 0.6 1.6 1.3 16.5 19.9 18.7
North
Chandigarh 0.3 0.0 0.3 18.5 30.6 18.6
Delhi 0.5 0.3 0.5 21.6 22.3 21.6
Haryana 0.3 0.2 0.3 15.7 16.2 16.0
Jammu & Kashmir 0.1 0.2 0.2 7.6 9.1 8.7
Ladakh 5.3 3.4 3.7 21.2 24.0 23.5
Punjab 0.3 0.3 0.3 19.7 24.9 22.8
Rajasthan 0.3 0.3 0.3 9.2 11.6 11.0
Uttarakhand 0.3 0.4 0.3 21.6 27.6 25.5
Central
Chhattisgarh 1.3 6.0 4.9 28.6 36.5 34.7
Madhya Pradesh 0.5 1.2 1.0 13.2 18.6 17.0
Uttar Pradesh 0.3 0.3 0.3 13.2 15.0 14.5
East
Bihar 0.5 0.4 0.4 13.9 15.8 15.4
Jharkhand 2.0 7.4 6.1 24.6 38.6 34.9
Odisha 1.4 4.9 4.3 22.4 30.1 28.7
West Bengal 0.8 1.3 1.1 18.9 17.6 18.0
Northeast
Assam 2.5 8.2 7.3 21.2 26.0 25.2
Manipur 1.0 0.8 0.9 34.5 39.0 37.2
Meghalaya 1.0 1.6 1.5 28.4 33.5 32.4
Mizoram 1.0 0.8 0.9 22.6 25.2 23.7
Nagaland 1.5 0.7 0.9 26.7 22.5 23.9
Sikkim 12.9 18.4 16.2 37.9 41.1 39.9
Tripura 0.9 8.5 6.3 26.8 36.0 33.2
West
Daman & Diu 0.5 1.6 1.1 29.0 26.4 27.7
Goa 5.6 5.3 5.5 38.1 34.8 36.8
Gujarat 0.3 0.7 0.6 4.5 6.8 5.8
Maharashtra 0.3 0.5 0.4 13.1 14.7 13.9
South
Andhra Pradesh 0.3 0.6 0.5 20.4 24.4 23.1
Karnataka 0.9 1.0 0.9 15.4 17.4 16.6
Kerala 0.2 0.3 0.2 18.7 21.0 19.9
Lakshadweep 0.3 0.4 0.3 0.4 0.5 0.4
Puducherry 0.1 0.5 0.3 26.9 30.0 27.9
Tamil Nadu 0.2 0.4 0.3 21.4 29.0 25.3
Telangana 2.6 9.1 6.7 34.0 49.1 43.4
78
Table 2.35 Use of tobacco by the population age 15 and over
Percentage of the de facto household population age 15 years and over who currently use tobacco, as reported by the household
respondent, according to background characteristics, India, 2019-21
Number Number
Women Men
of of
Background characteristic Urban Rural Total women Urban Rural Total men
Age
15-19 0.5 1.2 1.0 127,052 4.2 7.5 6.5 125,472
20-34 2.6 5.0 4.2 347,967 22.9 33.5 29.8 317,016
35-49 6.2 12.1 10.0 271,230 38.5 54.6 48.9 254,748
50-64 9.2 18.8 15.6 198,163 39.4 59.7 52.8 186,418
65 and over 11.6 21.8 18.6 100,506 31.0 54.8 47.5 105,134
Schooling
No schooling 14.2 18.3 17.5 346,990 53.7 64.7 62.6 156,277
<5 years complete 11.8 15.8 14.7 71,450 50.2 60.2 57.8 70,952
5-7 years complete 6.5 8.3 7.7 135,385 43.9 52.0 49.7 137,685
8-9 years complete 3.8 4.6 4.3 149,487 34.5 41.9 39.7 180,333
10-11 years complete 1.8 2.1 2.0 130,828 23.8 29.8 27.5 163,926
Don't know/ missing 8.2 12.3 10.7 452 35.7 53.2 46.8 947

Hindu 5.3 10.5 8.9 851,938 28.9 43.5 38.8 808,855
Muslim 6.4 11.0 9.1 134,517 31.6 43.0 38.0 124,544
Christian 6.0 11.6 9.4 27,171 20.7 36.2 30.2 24,339
Sikh 0.6 0.5 0.5 17,247 9.1 12.7 11.6 17,831
Buddhist/Neo-Buddhist 12.4 17.0 15.2 7,207 36.7 45.8 42.2 6,817
Jain 0.9 3.0 1.3 2,914 15.0 22.9 16.5 2,846
Others 16.5 21.9 20.8 3,925 34.2 57.2 52.2 3,555

Scheduled caste 7.8 11.3 10.3 224,930 34.8 45.6 42.3 210,870
Scheduled tribe 13.6 20.1 19.2 96,590 38.1 52.7 50.6 90,530
Others 4.5 8.9 7.0 276,010 26.8 38.9 33.5 267,903
Don't know 6.6 14.2 11.2 8,050 32.8 50.4 43.0 7,409
Wealth quintile
Lowest 18.3 17.4 17.4 194,190 58.1 58.1 58.1 171,153
Second 13.6 11.8 12.0 205,010 46.1 47.3 47.1 188,884
Middle 8.7 8.1 8.3 210,598 39.7 38.2 38.6 201,522
Fourth 5.4 5.0 5.2 214,674 31.1 30.6 30.8 208,540
Highest 2.5 2.9 2.6 220,446 19.9 22.2 20.5 218,690
Total 5.5 10.5 8.9 1,044,919 28.8 42.7 38.0 988,788
79
Table 2.36 Use of tobacco by the population age 15 and over by state/union territory
Percentage of the de facto household population age 15 years and over who currently use tobacco, as
reported by the household respondent, according to state/union territory, India, 2019-21
Women Men
India 5.5 10.5 8.9 28.8 42.7 38.0
North
Chandigarh 0.6 0.0 0.6 11.8 19.4 11.9
Delhi 2.2 3.5 2.2 26.1 31.7 26.2
Haryana 1.7 3.0 2.6 23.3 32.2 29.1
Jammu & Kashmir 1.8 4.2 3.6 32.2 40.8 38.5
Ladakh 3.5 3.1 3.2 39.6 34.6 35.5
Punjab 0.5 0.3 0.4 12.0 13.3 12.8
Rajasthan 6.0 7.2 6.9 33.1 44.9 41.9
Uttarakhand 2.7 5.4 4.6 27.5 36.9 33.7
Central
Chhattisgarh 9.4 19.7 17.3 33.4 46.0 43.1
Madhya Pradesh 6.5 11.7 10.3 35.2 50.8 46.4
Uttar Pradesh 6.5 9.1 8.5 34.7 47.6 44.0
East
Bihar 3.6 5.3 5.0 40.2 50.9 48.9
Jharkhand 4.8 9.6 8.4 37.3 51.0 47.4
Odisha 16.6 28.1 26.1 40.3 54.4 51.7
West Bengal 8.0 12.2 10.8 44.6 49.9 48.1
Northeast
Assam 16.3 23.3 22.2 43.9 53.4 51.9
Manipur 37.9 46.8 43.3 51.2 62.4 58.0
Meghalaya 27.3 28.5 28.3 47.0 60.7 57.8
Mizoram 56.8 68.5 61.7 69.8 77.3 73.1
Nagaland 16.0 12.6 13.7 47.3 48.9 48.4
Sikkim 7.9 14.1 11.6 38.4 43.5 41.5
Tripura 46.0 52.4 50.5 51.5 59.8 57.2
West
Daman & Diu 2.4 3.3 2.9 39.6 37.5 38.5
Goa 2.4 2.8 2.6 19.3 16.3 18.1
Gujarat 5.4 11.0 8.7 33.7 46.9 41.2
Maharashtra 6.7 14.7 11.0 26.2 40.6 33.8
South
Andhra Pradesh 1.9 4.7 3.9 15.7 25.7 22.6
Karnataka 4.6 11.2 8.6 21.7 31.0 27.3
Kerala 1.3 3.0 2.2 13.9 19.6 16.9
Lakshadweep 16.6 21.1 17.5 25.9 37.8 28.5
Puducherry 1.2 5.5 2.6 13.7 17.2 14.8
Tamil Nadu 2.3 7.3 4.9 16.6 23.2 20.0
Telangana 2.7 7.2 5.6 15.2 26.6 22.3
80
CHARACTERISTICS OF RESPONDENTS 3
Key Findings
 Literacy: Seventy-two percent of women and 84

percent of men are literate.
 Schooling: Forty-one percent of women and 50
percent of men have 10 or more years of schooling.
 Exposure to mass media: Forty-one percent of
women and 32 percent of men are not regularly
exposed to mass media (newspapers, magazines,
television, radio, or cinema).
 Employment: Men are more likely to be employed than
women; 25 percent of women are currently employed,
compared with 75 percent of men. Eighty-three percent
of employed women earn cash for their work.
 Occupation: Forty-six percent of women and 32
percent of men who were employed in the 12 months
preceding the survey are engaged as agricultural
workers, whereas only 11 percent of women and 9
percent of men work in the service sector.
 Internet usage: One-third of women and slightly over
half (51%) of men age 15-49 have ever used the internet.
T
his chapter presents information on the demographic and socioeconomic characteristics of the survey respondents,
such as age, schooling, place of residence, marital status, employment, and wealth status. This information is useful
for understanding the factors that affect use of reproductive health services, contraceptive use, and other health
behaviours.
3.1 BASIC CHARACTERISTICS OF SURVEY RESPONDENTS

A total of 724,115 women age 15-49 and 101,839 men age 15-54 were interviewed in the 2019-21 National Family Health
Survey. Thirty-three percent each of women and men are in the 15-24 age group, while 30 percent of women and 29 percent
of men are in the 25-34 age group (Table 3.1).
Among respondents age 15-49, women are more likely than men to be currently married (72% and 60%, respectively).
The distribution of respondents by religion shows that a large majority are Hindus (81% of women and 79% of men), while
14 percent of women and 16 percent of men are Muslims, 2 percent of women and 3 percent of men are Christians, 2
percent of women and 1 percent of men are Sikhs, and 1 percent each are Buddhists/Neo-Buddhists.
Forty-three percent of women and 42 percent of men belong to other backward classes (OBC), while 22 percent of women
and 20 percent of men belong to a scheduled caste, 9 percent each of women and men belong to a scheduled tribe, and 25
percent of women and 28 percent of men do not belong to a scheduled caste, a scheduled tribe, or an other backward class.
81
Nineteen percent of women and 17 percent of men are from households in the lowest wealth quintile, while 20 percent
each of women and men are in households in the highest wealth quintile.
3.2 SCHOOLING AND LITERACY
Literacy
Respondents who have completed standard nine or higher are assumed to be
literate. All other respondents were given a sentence to read, and they were
considered to be literate if they could read all or part of the sentence.
Sample: Women and men age 15-49
Twenty-three percent of women and 11 percent

of men have no schooling, and women (26%) are Figure 3.1 Education of Survey Respondents
less likely than men (32%) to have completed 12 Percent distribution of women and men age 15-49
or more years of schooling (Table 3.2.1, Table
3.2.2, and Figure 3.1). Eighty-four percent of
men and 72 percent of women are literate (Table No
No schooling
schooling
3.3.1 and Table 3.3.2). 26
26 32 <5 years complete
32 <5 years complete
Trends: Since 2015-16, there has been a
substantial increase in the percentage of women 15 5-7 years complete
15 5-7 years complete
18
and men age 15-49 attending school and 18
18
completing higher levels of education. During the 18 8-9 years complete
same period, the gap between women and men 13 20
has narrowed. The percentage of women with no 5.2 13 10-11 years complete
5.2 13
schooling has decreased by 5 percentage points 6.3
23 12 or more years
and the percentage of men with no schooling has 23 6.3
11 12 or more years
complete
decreased by 2 percentage points. The percentage 11 complete
Women Men
of women and men completing 12 or more years Women Men
of schooling has increased by 4 percentage points
and 3 percentage points, respectively.
 Younger respondents are more likely to have

attended school and to have reached higher Figure 3.2 Secondary or Higher Education
Education
levels of education than older respondents. Only by Residence
4 percent of women age 15-19 and 9 percent of
women age 20-24 have no schooling, while
Percentage
Percentage of
of women
women and
and men
men age
age 15-49
15-49
almost half of women age 45-49 (48%) and 41
percent of women age 40-44 have no schooling Women Men
Women Men
(Table 3.2.1). 62
56 62
 Urban women are more educated than their rural 50 56
41 50 44
counterparts. More than one-fourth (27%) of 44
41 34
rural women have never attended school,
34
compared with 13 percent of urban women.
Twenty percent of women in rural areas have
completed 12 or more years of schooling,
compared with 39 percent in urban areas (Table
Total Urban Rural
3.2.1 and Figure 3.2).
Total Urban Rural
82
 The percentage of women and men who have completed secondary school or higher increases by wealth quintile; 6
percent of women and 10 percent of men in the lowest wealth quintile completed 12 or more years of schooling,
compared with more than half of women (55%) and men (62%) in the highest wealth quintile.
 Literacy in each group is lowest among men and women in rural areas; those age 40-49; those who are widowed,
divorced, separated, or deserted; those in the lowest wealth quintile; and those belonging to a scheduled tribe (Table
3.3.1 and Table 3.3.2).
 Bihar and Kerala represent two contrasting profiles of literacy. Bihar has the lowest literacy of 55 percent among women
and 76 percent of men, while literacy is almost universal among women and men in Kerala (Table 3.4.1 and Table
3.4.2).
3.3 MASS MEDIA EXPOSURE
Exposure to mass media

Respondents were asked how often they read a newspaper or magazine,
listened to the radio, watched television, or went to the cinema. Those who
responded at least once a week (or at least once a month for the cinema) are
considered to be regularly exposed to that form of media.
Information on the exposure of women and men

Figure 3.3 Exposure to Mass Media
to mass media is especially important for the
development of educational programmes, Percentage of women and men age 15-49
particularly information about family planning,
HIV/AIDS, and other important health topics.
Men are more likely than women to be exposed to
Women Men
any and all forms of media, including newspapers,
television, radio, and the cinema (Figure 3.3).
Television is the most common form of media 54 56
exposure for both women and men across all 41

32 32
subgroups, followed by newspapers or
24
magazines. A substantial proportion of women 15
and men do not access any of the four media at 7.6 10
4.2
least on a weekly basis (41% of women and 32%
of men) (Table 3.5.1 and Table 3.5.2). Reads a Watches Listens to the Visits the Not regularly
newspaper or television at radio at least cinema/theatre exposed to
magazine at least least once a once a week at least once a any media
once a week week month
Trends: Exposure to each of the four types of mass media decreased for both women and men between 2015-16 and 2019-
21, except for visits to the cinema/theatre at least once a month which increased slightly. The percentage of women who
did not access any of the media types at least once a week increased from 25 percent in 2015-16 to 41 percent in 2019-21.
Fourteen percent of men did not access any of the media types at least once a week in 2015-16, compared with 32 percent
in 2019-21.
 Rural women are more likely to have no regular exposure to any form of mass media than their urban counterpart (50%
versus 23%). The same pattern holds true for men (39% versus 18%) (Table 3.5.1 and Table 3.5.2).
 Only 21 percent of women and 15 percent of men with 12 or more years of schooling lack regular exposure to any mass
media, compared with 67 percent of women and 61 percent of men with no schooling.
83
 Thirty-three percent of women and over half (51%) of men
age 15-49 in India have ever used the internet. More than Figure 3.4 Internet Usage by Residence
half (52%) of women and 66 percent of men in urban areas Percentage
Figure 3.4of Internet
women and men age
Usage by15-49
Residence
have ever used the internet, compared with only one-fourth
of women and 43 percent of men in rural areas (Figure 3.4).
Percentage of women and men age 15-49
Women Men
 Ever use of the internet increases with education with 72 Women Men
66
percent of women and three-quarters of men with 12 or
51 52
more years of education ever using the internet, compared 66 43
with 8 percent of women and less than one-quarter (24%)
33
of men with less than five years of schooling. 51 52
25
43
 Never married women and men are more likely to have ever 33
used the internet (50% and 57%, respectively) than those in 25
other marital status groups. More women and men in the Total Urban Rural
highest wealth quintile have ever used the internet (69% and
78%, respectively) than those in the lowest wealth quintile
(9% and 26%, respectively) (Table 3.6). Total Urban Rural
3.4 EMPLOYMENT
Currently employed
Respondents who were employed in the seven days before the survey. Includes
respondents who did not work in the past seven days but who are regularly
employed and were absent from work for leave, illness, vacation, or any other
such reasons.
Men are three times as likely to be currently employed as

Figure 3.5 Employment Status by Schooling women; 25 percent of women age 15-49 are currently
Percentage of women and men age 15-49 who are
Percentage of women and men age 15-49 who are employed, compared with 75 percent of men age 15-49
currently employed (Table 3.8 and Table 3.9). Seventy percent of women and
currently employed Women Men 19 percent of men reported that they were not employed
Women Men in the 12 months preceding the survey. A lower percentage
87 89 86
of women than men are currently employed in every state
87 89 86 73 69
66 (Table 3.10). The employment level is much higher
73 69 among less educated persons, highest among persons with
66
34 34 less than 5 years of schooling (89% among men and 34%
28
21 18 22 among women), and those with no schooling at all (87%
34 34 among men and 34% among women) (Figure 3.5).
28
21 22
18 years 12 or more
No <5 years 5-7 years 8-9 years 10-11 Trends: Since 2015-16, current employment levels have
schooling complete complete complete complete years
complete marginally increased for women. Twenty-four percent of
women were currently employed in 2015-16, compared
No <5 years 5-7 years 8-9 years 10-11 years 12 or more
schooling complete complete complete complete years with 25 percent in 2019-21. Among men, the proportion
complete who are currently employed has not changed in the same
period.
84
 Women and men with 10-11 years of schooling, never married women and men, women and men with no children, and
women and men belonging to the highest wealth quintile are less likely to be employed than others.
 Bihar (14%), Uttar Pradesh (17%), and Assam (18%) have the lowest percentage of women currently employed. More
than one-third of women were currently employed in Karnataka (35%), Andhra Pradesh (37%), Telangana (39%),
Manipur (40%), and Meghalaya (42%) (Table 3.10).
3.5 OCCUPATION
Occupation
Categorized as professional/technical/administrative/managerial, clerical, sales
and services, skilled manual, unskilled manual, agriculture
Sample: Women and men age 15-49 who were currently employed or had
worked in the 12 months before the survey
Women are most commonly employed as agricultural workers (46%), followed by production workers (21%), and men
are most commonly employed as agricultural workers and production workers (32% each) (Tables 3.11). A higher
proportion of employed women (10%) than employed men (7%) are engaged in professional, technical, administrative, or
managerial occupations.
A large majority of women who worked in the past year and did agricultural work are employed by family members (84%)
and earn cash for their work (73%). Ninety-two percent of women who did non-agricultural work earned cash for their
work. Among women who worked in the last one year, 11 percent were self-employed (Table 3.12).
 Urban women are most likely to be employed as production workers (28%) and professional workers (22%), while
urban men are most likely to be employed as production workers (38%) and sales workers (18%). In rural areas,
however, women are most likely to be agricultural workers (61%) and men are most likely to be service workers (29%).
 A large majority of employed women (83%) and men (94%) earned in cash for their work, but 14 percent of women
and 4 percent of men did not receive any payment.
85
LIST OF TABLES
For more information on the characteristics of survey respondents, see the following tables:
Tables
Table 3.1 Background characteristics of respondents
Table 3.2.1 Respondent's level of schooling: Women
Table 3.2.2 Respondent's level of schooling: Men
Table 3.3.1 Literacy: Women
Table 3.3.2 Literacy: Men
Table 3.4.1 Respondent's level of schooling and literacy by state/union territory: Women
Table 3.4.2 Respondent's level of schooling and literacy by state/union territory: Men
Table 3.5.1 Exposure to mass media: Women
Table 3.5.2 Exposure to mass media: Men
Table 3.6 Internet usage
Table 3.7 Exposure to mass media and internet usage by state/ union territory
Table 3.8 Employment status: Women
Table 3.9 Employment status: Men
Table 3.10 Employment status of women and men by state/union territory
Table 3.11 Occupation
Table 3.12 Type of employment
86
Table 3.1 Background characteristics of respondents
Percent distribution of women and men age 15-49 by selected background characteristics, India, 2019-21
Weighted percent Number of women Number of men

Background characteristic Women Men Weighted Unweighted Weighted Unweighted
Age
15-19 16.9 17.6 122,544 122,480 16,385 16,657
20-24 16.5 15.4 119,440 118,700 14,384 14,413
25-29 16.2 15.2 117,145 118,379 14,195 14,360
30-34 13.9 14.1 100,384 101,049 13,109 13,292
35-39 13.5 14.0 97,552 98,068 13,029 12,874
40-44 11.3 11.6 81,787 81,380 10,846 10,838
45-49 11.8 12.0 85,264 84,059 11,197 10,833
Residence
Urban 32.5 35.3 235,279 179,535 32,852 24,211
Rural 67.5 64.7 488,836 544,580 60,291 69,056
Schooling
No schooling 22.6 10.7 163,492 168,285 9,982 10,183
<5 years complete 5.2 6.3 37,549 37,040 5,842 4,765
5-7 years complete 13.4 13.0 96,806 97,032 12,082 11,933
8-9 years complete 17.8 19.8 129,094 137,317 18,472 20,795
10-11 years complete 15.2 18.0 109,777 108,133 16,735 16,501
12 or more years complete 25.9 32.2 187,396 176,308 30,032 29,090
Marital status
Never married 23.6 39.1 170,877 180,067 36,377 36,611
Currently married 72.0 59.6 521,352 512,408 55,475 55,280
Married, gauna not performed 0.2 0.1 1,197 1,218 126 143
Widowed 3.1 0.5 22,597 22,119 443 491
Divorced 0.3 0.3 2,446 2,808 324 331
Separated 0.7 0.4 4,760 4,628 350 336
Deserted 0.1 0.1 885 867 49 75
Religion
Hindu 81.4 79.1 589,164 546,007 73,632 70,608
Muslim 13.5 15.7 97,595 90,729 14,633 11,317
Christian 2.3 2.6 16,995 52,146 2,426 6,591
Sikh 1.6 1.0 11,404 16,200 886 2,190
Buddhist/Neo-Buddhist 0.6 1.1 4,571 9,076 1,017 1,270
Jain 0.2 0.3 1,632 887 280 125
Zoroastrian/Parsi 0.0 0.0 57 51 0 0
Jewish 0.0 0.0 2 7 1 4
Other religion 0.3 0.2 2,527 8,644 220 1,120
No religion 0.0 0.1 168 368 49 42
Caste/tribe
Scheduled caste 21.9 20.4 158,483 139,957 18,977 17,767
Scheduled tribe 9.3 9.1 67,263 135,239 8,441 17,729
Other backward class 42.9 41.9 310,783 276,881 38,986 35,991
Other 25.2 28.2 182,474 168,008 26,244 21,420
Don't know 0.7 0.5 5,112 4,030 496 360
Continued…
87
Table 3.1 Background characteristics of respondents—Continued
Percent distribution of women and men age 15-49 by selected background characteristics, India, 2019-21
Weighted percent Number of women Number of men

Background characteristic Women Men Weighted Unweighted Weighted Unweighted
Wealth quintile
Lowest 18.5 16.8 133,973 149,844 15,606 18,151
Second 20.0 19.9 144,813 160,340 18,497 20,823
Middle 20.5 21.3 148,616 151,505 19,829 19,928
Fourth 20.8 22.2 150,680 139,607 20,658 18,494
Highest 20.2 19.9 146,032 122,819 18,553 15,871
Total age 15-49 100.0 100.0 724,115 724,115 93,144 93,267
Age 50-54 na 8.5 na na 8,695 8,572
Total age 15-54 na 100.0 na na 101,839 101,839
na = Not applicable
88
Table 3.2.1 Respondent's level of schooling: Women
Percent distribution of women age 15-49 by number of years of schooling completed, according to background
Respondent's level of schooling

10-11 12 or more
No <5 years 5-7 years 8-9 years years years Number of
Background characteristic schooling complete complete complete complete complete Total women
Age
15-24 6.6 2.3 9.5 24.6 23.0 34.0 100.0 241,983
15-19 4.4 1.8 9.6 31.8 31.3 21.1 100.0 122,544
20-24 8.8 2.7 9.4 17.3 14.5 47.3 100.0 119,440
25-29 15.5 4.8 14.7 16.6 12.6 35.7 100.0 117,145
30-34 23.8 6.0 16.5 16.4 12.2 25.0 100.0 100,384
35-39 32.2 7.3 16.4 15.1 11.5 17.5 100.0 97,552
40-44 40.6 7.4 14.6 12.4 10.4 14.6 100.0 81,787
45-49 48.0 8.5 14.1 10.2 8.6 10.6 100.0 85,264
Residence
Urban 12.7 3.7 11.5 15.7 17.4 38.9 100.0 235,279
Rural 27.3 5.9 14.2 18.8 14.1 19.6 100.0 488,836
Marital status
Never married 3.8 1.6 7.4 23.4 23.8 40.0 100.0 172,075
Currently married 27.6 6.1 15.2 16.3 12.7 22.1 100.0 521,352
Widowed/divorced/
separated/deserted 42.8 9.3 16.3 12.0 8.8 10.9 100.0 30,688
Religion
Hindu 22.5 5.0 12.9 17.8 15.1 26.6 100.0 589,164
Muslim 25.8 6.4 16.6 18.5 14.8 17.9 100.0 97,595
Christian 14.7 5.6 11.8 15.1 16.9 35.9 100.0 16,995
Sikh 14.8 2.1 13.4 15.0 19.9 34.8 100.0 11,404
Buddhist/Neo-Buddhist 12.1 7.2 13.4 20.0 17.2 30.1 100.0 4,571
Jain 1.9 0.7 3.6 10.1 23.0 60.7 100.0 1,632
Other 33.1 6.1 12.4 18.8 10.5 19.1 100.0 2,754
Caste/tribe
Scheduled caste 27.0 6.0 14.2 18.6 13.8 20.5 100.0 158,483
Scheduled tribe 34.6 6.9 13.6 18.6 11.3 15.1 100.0 67,263
Other backward class 22.8 4.5 13.3 17.2 15.7 26.5 100.0 310,783
Other 13.7 4.8 12.5 17.9 17.1 34.0 100.0 182,474
Don't know 34.7 10.5 19.7 17.2 9.2 8.7 100.0 5,112
Wealth quintile
Lowest 45.1 8.1 14.9 18.4 7.6 5.9 100.0 133,973
Second 30.1 7.1 16.1 20.8 12.8 13.0 100.0 144,813
Middle 21.3 5.7 15.5 19.7 16.7 21.2 100.0 148,616
Fourth 12.9 3.9 13.0 17.9 19.6 32.6 100.0 150,680
Highest 5.8 1.4 7.4 12.4 18.3 54.7 100.0 146,032
Total 22.6 5.2 13.4 17.8 15.2 25.9 100.0 724,115
89
Table 3.2.2 Respondent's level of schooling: Men
Percent distribution of men age 15-49 by number of years of schooling completed, according to background characteristics,
India, 2019-21

10-11 12 or more
No <5 years 5-7 years 8-9 years years years Number of
Background characteristic schooling complete complete complete complete complete Total men
Age
15-24 4.6 3.1 8.8 24.6 23.0 35.9 100.0 30,769
15-19 4.1 2.5 9.5 31.5 31.3 21.1 100.0 16,385
20-24 5.1 3.7 8.0 16.7 13.7 52.8 100.0 14,384
25-29 7.7 5.7 14.0 16.6 12.6 43.4 100.0 14,195
30-34 10.7 6.9 14.7 17.8 16.7 33.2 100.0 13,109
35-39 14.2 8.7 16.6 18.5 16.0 25.9 100.0 13,029
40-44 16.8 9.3 15.1 19.1 17.2 22.5 100.0 10,846
45-49 21.4 9.2 14.7 15.7 15.3 23.7 100.0 11,197
Residence
Urban 6.7 4.2 10.4 16.6 19.0 43.1 100.0 32,852
Rural 12.9 7.4 14.4 21.6 17.4 26.3 100.0 60,291
Marital status
Never married 4.4 2.6 8.2 21.8 21.2 41.8 100.0 36,503
Widowed/divorced/
Religion
Hindu 10.0 5.6 12.3 19.9 18.3 33.9 100.0 73,632
Muslim 15.2 9.7 17.7 20.0 15.7 21.8 100.0 14,633
Christian 10.2 7.1 11.4 17.3 20.1 33.8 100.0 2,426
Sikh 7.8 2.4 10.7 19.1 20.6 39.5 100.0 886
Jain 0.8 0.2 0.1 14.7 11.7 72.5 100.0 280
Other 10.9 5.4 7.0 17.6 11.6 47.6 100.0 269
Caste/tribe
Scheduled caste 13.0 7.6 14.8 21.9 16.9 25.8 100.0 18,977
Scheduled tribe 17.6 8.5 15.4 23.0 14.4 21.0 100.0 8,441
Other 7.7 5.8 10.9 18.4 17.9 39.3 100.0 26,244
Don't know 14.1 13.8 27.7 17.1 8.6 18.8 100.0 496
Wealth quintile
Lowest 25.5 13.7 18.9 22.5 9.8 9.5 100.0 15,606
Second 14.5 8.7 17.5 25.3 15.4 18.6 100.0 18,497
Middle 9.4 5.8 14.8 22.2 20.0 27.8 100.0 19,829
Fourth 5.2 3.3 10.5 18.1 23.6 39.2 100.0 20,658
Highest 2.0 1.3 4.2 11.5 18.8 62.1 100.0 18,553
Total age 15-49 10.7 6.3 13.0 19.8 18.0 32.2 100.0 93,144
Age 50-54 17.7 5.2 11.0 17.3 18.4 30.3 100.0 8,695
Total age 15-54 11.3 6.2 12.8 19.6 18.0 32.1 100.0 101,839
90
Table 3.3.1 Literacy: Women
Percent distribution of women age 15-49 by literacy, according to background characteristics, India, 2019-21
No schooling or completed less than standard 9

Completed Can read a Can read No card with Blind/
Background standard 9 whole part of a Cannot required visually Number of Percentage
characteristic or higher sentence sentence read at all language impaired Total women literate1
Age
15-24 70.5 8.9 8.9 11.4 0.2 0.1 100.0 241,983 88.2
15-19 70.8 10.5 9.0 9.3 0.2 0.1 100.0 122,544 90.4
20-24 70.1 7.1 8.7 13.6 0.2 0.1 100.0 119,440 86.0
25-29 56.0 9.7 12.4 21.4 0.4 0.2 100.0 117,145 78.1
30-34 44.7 11.2 13.6 29.7 0.4 0.3 100.0 100,384 69.5
35-39 35.8 11.1 14.2 37.9 0.5 0.5 100.0 97,552 61.1
40-44 30.7 10.1 12.7 45.3 0.6 0.6 100.0 81,787 53.5
45-49 23.6 9.6 12.9 52.7 0.6 0.6 100.0 85,264 46.1
Residence
Urban 64.5 8.9 9.6 16.5 0.4 0.2 100.0 235,279 83.0
Rural 42.8 10.3 12.8 33.3 0.4 0.4 100.0 488,836 65.9
Marital status
Never married 77.6 7.9 6.8 7.4 0.1 0.1 100.0 172,075 92.4
Currently married 42.2 10.4 13.2 33.4 0.5 0.4 100.0 521,352 65.8
Widowed/divorced/
separated/deserted 25.2 10.9 14.2 48.5 0.5 0.6 100.0 30,688 50.3
Religion
Hindu 50.6 9.5 11.4 27.9 0.3 0.3 100.0 589,164 71.5
Muslim 41.6 12.0 14.4 30.5 1.0 0.4 100.0 97,595 68.0
Christian 62.1 9.6 9.8 18.0 0.3 0.1 100.0 16,995 81.5
Sikh 59.5 9.9 10.9 19.1 0.4 0.2 100.0 11,404 80.3
Buddhist/Neo-Buddhist 61.6 7.1 12.9 18.0 0.2 0.1 100.0 4,571 81.7
Jain 89.5 4.3 3.3 2.9 0.0 0.0 100.0 1,632 97.0
Other 40.3 10.5 10.4 37.9 0.5 0.5 100.0 2,754 61.2
Caste/tribe
Scheduled caste 43.3 10.2 12.3 33.4 0.4 0.4 100.0 158,483 65.8
Scheduled tribe 36.4 9.3 12.5 40.8 0.4 0.5 100.0 67,263 58.3
Other backward class 50.3 9.8 11.6 27.6 0.3 0.3 100.0 310,783 71.8
Other 60.4 9.7 11.0 18.0 0.5 0.3 100.0 182,474 81.2
Don't know 25.3 13.3 14.1 45.7 1.2 0.4 100.0 5,112 52.7
Wealth quintile
Lowest 21.9 10.1 13.8 52.9 0.7 0.6 100.0 133,973 45.8
Second 36.0 11.3 14.4 37.2 0.5 0.5 100.0 144,813 61.8
Middle 47.8 11.1 13.4 26.9 0.4 0.3 100.0 148,616 72.3
Fourth 61.7 10.0 11.0 16.9 0.2 0.2 100.0 150,680 82.6
Highest 79.3 6.8 6.2 7.6 0.1 0.1 100.0 146,032 92.2
Total 49.9 9.9 11.7 27.8 0.4 0.3 100.0 724,115 71.5
1
Refers to women who can read a whole sentence or part of a sentence and women who completed standard 9 or higher (who are assumed to be literate).
91
Table 3.3.2 Literacy: Men
Percent distribution of men age 15-49 by literacy, according to background characteristics, India, 2019-21
No schooling or completed less than standard 9

Completed Can read a Can read No card with Blind/
Background standard 9 whole part of a Cannot required visually Number Percentage
characteristic or higher sentence sentence read at all language impaired Total of men literate1
Age
15-24 74.2 8.6 8.6 8.3 0.1 0.1 100.0 30,769 91.4
15-19 72.7 10.5 8.6 8.1 0.1 0.1 100.0 16,385 91.7
20-24 75.9 6.6 8.7 8.6 0.1 0.2 100.0 14,384 91.1
25-29 64.8 9.2 12.8 12.7 0.2 0.2 100.0 14,195 86.8
30-34 59.5 10.5 14.7 14.7 0.1 0.5 100.0 13,109 84.7
35-39 52.5 12.1 15.3 19.6 0.3 0.3 100.0 13,029 79.9
40-44 50.7 11.3 15.0 22.2 0.6 0.2 100.0 10,846 77.0
45-49 48.3 11.1 14.2 25.7 0.3 0.4 100.0 11,197 73.7
Residence
Urban 72.2 7.6 9.7 10.1 0.1 0.2 100.0 32,852 89.6
Rural 56.1 11.4 14.0 17.9 0.3 0.3 100.0 60,291 81.5
Marital status
Never married 76.8 7.7 7.7 7.5 0.1 0.1 100.0 36,503 92.2
Widowed/divorced/
separated/deserted 39.8 14.1 17.2 27.8 0.9 0.1 100.0 1,165 71.1
Religion
Hindu 64.0 9.6 11.6 14.3 0.2 0.3 100.0 73,632 85.2
Muslim 48.0 13.2 17.6 20.6 0.3 0.3 100.0 14,633 78.8
Christian 64.8 9.2 12.0 13.7 0.1 0.2 100.0 2,426 86.0
Sikh 67.5 9.5 10.5 12.3 0.1 0.1 100.0 886 87.5
Jain 93.3 1.6 2.2 2.9 0.0 0.0 100.0 280 97.1
Other 68.9 10.7 7.7 12.5 0.2 0.0 100.0 269 87.3
Caste/tribe
Scheduled caste 55.4 10.5 14.7 19.0 0.2 0.2 100.0 18,977 80.6
Scheduled tribe 48.4 11.7 15.1 23.9 0.6 0.3 100.0 8,441 75.2
Other 68.2 9.2 11.0 11.3 0.2 0.2 100.0 26,244 88.4
Don't know 34.6 22.6 13.6 29.2 0.0 0.0 100.0 496 70.8
Wealth quintile
Lowest 30.9 14.5 20.1 33.5 0.4 0.6 100.0 15,606 65.4
Second 47.8 13.9 17.0 20.7 0.3 0.4 100.0 18,497 78.7
Middle 60.7 10.8 13.7 14.4 0.3 0.1 100.0 19,829 85.2
Fourth 74.8 8.1 9.1 7.7 0.1 0.2 100.0 20,658 92.0
Highest 88.5 4.1 4.0 3.3 0.1 0.0 100.0 18,553 96.6
Total age 15-49 61.8 10.1 12.5 15.2 0.2 0.2 100.0 93,144 84.4
Age 50-54 41.3 12.9 16.0 29.2 0.3 0.3 100.0 8,695 70.2
Total age 15-54 60.1 10.3 12.8 16.4 0.2 0.3 100.0 101,839 83.2
1
Refers to men who can read a whole sentence or part of a sentence and men who completed standard 9 or higher (who are assumed to be literate).
92
Table 3.4.1 Respondent's level of schooling and literacy by state/union territory: Women
Percent distribution of women age 15-49 by number of years of schooling completed and percentage literate, by state/union
territory, India, 2019-21

12 or more
No <5 years 5-7 years 8-9 years 10-11 years years Percentage
State/union territory schooling complete complete complete complete complete Total literate1
India 22.6 5.2 13.4 17.8 15.2 25.9 100.0 71.5
North
Chandigarh 12.4 1.5 11.5 15.0 19.2 40.4 100.0 78.7
Delhi 13.1 2.7 9.6 14.9 16.3 43.4 100.0 83.7
Haryana 15.9 2.9 14.4 17.2 16.4 33.1 100.0 79.7
Jammu & Kashmir 21.3 1.2 6.6 19.7 18.3 33.0 100.0 74.3
Ladakh 22.1 1.2 7.7 18.9 18.2 31.8 100.0 74.6
Punjab 15.3 2.0 12.3 14.4 19.9 36.1 100.0 79.4
Rajasthan 31.3 3.6 14.7 16.9 11.8 21.7 100.0 64.7
Uttarakhand 16.9 2.5 11.3 18.9 13.7 36.7 100.0 79.8
Central
Chhattisgarh 22.2 4.4 13.5 23.0 13.5 23.4 100.0 72.5
Madhya Pradesh 25.5 4.7 14.8 25.7 11.0 18.3 100.0 65.4
Uttar Pradesh 28.6 2.3 11.9 17.9 11.7 27.6 100.0 66.1
East
Bihar 38.5 5.0 11.2 16.4 13.0 15.8 100.0 55.0
Jharkhand 31.7 5.0 11.7 18.3 14.2 19.0 100.0 61.7
Odisha 21.9 8.1 14.9 22.2 15.8 17.2 100.0 69.5
West Bengal 18.5 11.6 15.4 21.6 14.7 18.3 100.0 72.9
Northeast
Assam 18.6 9.3 13.8 28.7 12.4 17.1 100.0 75.1
Manipur 8.1 5.6 10.8 27.4 17.8 30.3 100.0 85.3
Meghalaya 12.6 12.6 17.9 21.8 14.8 20.4 100.0 87.6
Mizoram 5.3 6.7 14.1 24.0 20.0 29.9 100.0 94.0
Nagaland 8.8 6.5 14.9 25.4 16.1 28.3 100.0 83.4
Sikkim 7.1 8.1 16.7 19.1 15.0 34.0 100.0 87.1
Tripura 11.4 10.4 18.1 36.9 11.3 12.0 100.0 78.3
West
and Daman & Diu 21.0 6.9 13.5 22.9 13.6 22.2 100.0 75.6
Goa 5.5 3.3 8.2 11.5 23.6 47.9 100.0 92.2
Gujarat 20.9 7.1 18.9 19.3 12.4 21.3 100.0 73.4
Maharashtra 12.0 6.6 13.6 17.4 18.2 32.2 100.0 82.3
Continued…
93
Table 3.4.1 Respondent's level of schooling and literacy by state/union territory: Women—Continued
Percent distribution of women age 15-49 by number of years of schooling completed and percentage literate, by state/union

12 or more
South
Andaman & Nicobar
Islands 8.2 4.2 12.5 22.6 15.1 37.4 100.0 80.5
Andhra Pradesh 27.9 5.5 17.8 9.2 18.5 21.2 100.0 66.7
Karnataka 19.5 5.2 14.1 11.0 22.7 27.5 100.0 73.4
Kerala 0.8 1.8 5.7 14.8 25.8 51.2 100.0 97.4
Lakshadweep 1.8 2.5 12.3 15.6 25.6 42.2 100.0 95.2
Puducherry 6.2 3.3 9.9 15.2 16.7 48.7 100.0 89.7
Tamil Nadu 9.5 5.2 12.4 16.4 17.0 39.6 100.0 84.0
Telangana 32.6 3.2 12.4 6.3 19.0 26.5 100.0 64.8
1
Refers to women who can read a whole sentence or part of a sentence and women who completed standard 9 or higher (who are assumed
to be literate).
94
Table 3.4.2 Respondent's level of schooling and literacy by state/union territory: Men
Percent distribution of men age 15-49 by number of years of schooling completed and percentage literate, by state/union

12 or more
India 10.7 6.3 13.0 19.8 18.0 32.2 100.0 84.4
North
Chandigarh 5.6 2.2 6.5 21.2 20.3 44.2 100.0 90.2
Delhi 6.8 2.7 9.4 20.3 19.4 41.5 100.0 90.2
Haryana 5.9 2.6 11.6 17.7 21.6 40.6 100.0 91.5
Jammu & Kashmir 9.1 0.6 4.0 18.1 22.6 45.6 100.0 90.2
Ladakh 8.1 0.6 5.3 13.2 20.7 52.1 100.0 92.7
Punjab 8.0 3.3 11.0 19.1 22.2 36.5 100.0 86.8
Rajasthan 8.9 3.2 13.1 22.8 18.2 33.7 100.0 88.9
Uttarakhand 5.7 3.0 8.1 23.4 17.1 42.7 100.0 89.3
Central
Chhattisgarh 10.0 5.3 13.8 29.5 14.1 27.4 100.0 82.6
Madhya Pradesh 11.4 4.8 15.7 28.1 14.5 25.4 100.0 81.3
Uttar Pradesh 12.5 2.8 11.9 24.2 15.0 33.6 100.0 82.0
East
Bihar 18.2 7.2 12.9 18.9 15.3 27.5 100.0 76.4
Jharkhand 14.3 4.8 12.2 22.2 17.9 28.6 100.0 81.3
Odisha 9.7 7.5 16.3 27.9 16.8 21.7 100.0 84.6
West Bengal 13.0 14.5 18.2 19.6 12.8 21.8 100.0 80.2
Northeast
Assam 12.5 10.3 14.7 26.9 12.5 23.0 100.0 81.6
Manipur 4.0 3.0 9.3 24.9 20.7 38.1 100.0 93.3
Meghalaya 19.7 12.2 14.9 18.6 14.5 20.2 100.0 83.2
Mizoram 3.4 4.2 14.4 28.9 17.8 31.3 100.0 97.0
Nagaland 5.7 5.7 12.0 23.6 16.9 36.1 100.0 92.2
Sikkim 7.9 8.4 11.7 17.0 15.3 39.7 100.0 88.6
Tripura 5.6 11.8 15.3 38.0 13.1 16.3 100.0 83.6
West
and Daman & Diu 5.3 6.2 13.5 25.6 13.8 35.6 100.0 92.5
Goa 3.2 0.3 5.0 14.8 22.7 53.9 100.0 94.3
Gujarat 8.6 5.7 14.6 25.6 17.6 27.9 100.0 87.3
Maharashtra 4.5 5.1 9.2 20.2 18.9 42.1 100.0 90.2
Continued…
95
Table 3.4.2 Respondent's level of schooling and literacy by state/union territory: Men—Continued
Percent distribution of men age 15-49 by number of years of schooling completed and percentage literate, by state/union

12 or more
South
Andaman & Nicobar
Islands 9.4 3.6 16.8 17.9 13.0 39.3 100.0 88.2
Andhra Pradesh 18.0 5.8 17.3 11.0 19.4 28.5 100.0 76.5
Karnataka 10.8 5.7 12.4 14.7 22.9 33.7 100.0 85.2
Kerala 2.3 2.0 6.1 16.3 30.7 42.5 100.0 97.1
Lakshadweep 0.0 1.5 4.0 13.6 29.5 51.4 100.0 98.6
Puducherry 3.4 3.0 7.5 11.9 14.5 59.7 100.0 93.8
Tamil Nadu 4.0 3.8 14.3 18.8 18.9 40.2 100.0 90.7
Telangana 14.7 2.9 12.3 8.9 23.4 37.7 100.0 82.0
1
Refers to men who can read a whole sentence or part of a sentence and men who completed standard 9 or higher (who are assumed to
be literate).
96
Table 3.5.1 Exposure to mass media: Women
Percentage of women age 15-49 who usually read a newspaper or magazine, watch television, or listen to the radio at least once
a week, who usually visit the cinema or theatre at least once a month, and who are not regularly exposed to any of these media
by background characteristics, India, 2019-21

Reads a Visits the
newspaper or Watches Listens to the cinema/ Not regularly
magazine at least television at least radio at least theatre at least exposed to Number of
Background characteristic once a week once a week once a week once a month any media women
Age
15-19 15.8 52.6 4.5 9.6 41.1 122,544
20-24 16.0 54.4 4.5 12.3 39.1 119,440
25-29 15.0 54.9 4.1 11.8 39.6 117,145
30-34 14.4 54.7 4.0 9.9 40.6 100,384
35-39 13.7 53.6 4.0 8.2 41.6 97,552
40-44 13.5 52.3 4.1 6.9 43.3 81,787
45-49 11.8 51.1 3.9 6.0 45.0 85,264
Residence
Urban 25.0 69.8 6.1 17.4 23.2 235,279
Rural 9.4 45.6 3.3 5.7 49.9 488,836
Schooling
No schooling 0.2 30.8 1.5 2.4 67.1 163,492
<5 years complete 1.6 44.5 2.4 3.5 52.9 37,549
5-7 years complete 5.5 50.7 2.9 4.9 45.6 96,806
8-9 years complete 10.7 54.4 3.8 6.2 40.7 129,094
10-11 years complete 20.1 64.1 5.1 11.5 29.3 109,777
12 or more years complete 33.4 69.6 7.3 20.5 21.3 187,396
Marital status
Never married 20.8 56.8 5.5 12.6 35.7 172,075
Currently married 12.7 52.6 3.8 8.8 42.8 521,352
Widowed/divorced/
separated/deserted 9.4 50.1 3.3 4.8 45.8 30,688
Religion
Hindu 14.6 55.1 4.2 10.0 39.8 589,164
Muslim 11.0 41.6 3.8 5.7 52.7 97,595
Christian 27.2 63.3 5.5 11.9 29.9 16,995
Sikh 12.7 60.6 2.8 8.0 34.3 11,404
Buddhist/Neo-Buddhist 18.9 57.6 6.5 15.1 33.4 4,571
Jain 40.3 75.7 5.2 36.9 11.4 1,632
Other 11.2 29.1 6.4 5.9 65.0 2,754
Caste/tribe
Scheduled caste 10.5 52.2 3.6 7.9 43.4 158,483
Scheduled tribe 8.5 39.5 3.1 5.9 56.1 67,263
Other backward class 14.8 54.4 4.2 9.5 40.3 310,783
Other 19.8 58.6 5.0 12.5 35.1 182,474
Don't know 6.5 42.3 3.8 4.8 54.3 5,112
Continued…
97
Table 3.5.1 Exposure to mass media: Women—Continued
Percentage of women age 15-49 who usually read a newspaper or magazine, watch television, or listen to the radio at least once
a week, who usually visit the cinema or theatre at least once a month, and who are not regularly exposed to any of these media

Reads a Visits the
magazine at least television at least radio at least theatre at least exposed to Number of
Background characteristic once a week once a week once a week once a month any media women
Wealth quintile
Lowest 2.4 18.2 1.6 2.3 78.5 133,973
Second 5.6 40.5 2.8 4.1 55.2 144,813
Middle 10.5 59.5 3.8 7.2 35.6 148,616
Fourth 18.7 69.2 5.4 11.4 24.9 150,680
Highest 34.0 76.5 7.1 21.8 15.7 146,032
Total 14.5 53.5 4.2 9.5 41.2 724,115
98
Table 3.5.2 Exposure to mass media: Men
Percentage of men age 15-49 who usually read a newspaper or magazine, watch television, or listen to the radio at least once a
week, who usually visit the cinema or theatre at least once a month, and who are not regularly exposed to any of these media by
background characteristics, India, 2019-21

Reads a Visits the
magazine at least television at least radio at least theatre at least exposed to Number
Background characteristic once a week once a week once a week once a month any media of men
Age
15-19 26.8 55.6 6.7 27.6 31.1 16,385
20-24 34.0 55.7 7.9 36.3 27.5 14,384
25-29 33.9 56.3 7.7 29.6 30.0 14,195
30-34 35.3 57.0 8.6 23.5 31.3 13,109
35-39 32.4 56.0 7.8 18.5 33.0 13,029
40-44 32.4 55.6 7.0 12.0 34.9 10,846
45-49 31.3 54.6 7.6 9.9 35.4 11,197
Residence
Urban 43.4 68.1 9.8 33.9 18.1 32,852
Rural 26.0 49.2 6.4 17.8 39.0 60,291
Schooling
No schooling 2.7 32.5 4.8 11.4 60.9 9,982
<5 years complete 5.6 41.0 4.5 10.8 51.4 5,842
5-7 years complete 13.1 48.7 5.3 14.7 42.3 12,082
8-9 years complete 24.6 52.0 6.6 15.9 36.6 18,472
10-11 years complete 39.2 62.5 8.4 25.0 23.7 16,735
Marital status
Never married 34.4 58.5 8.4 34.3 25.8 36,503
Widowed/divorced/
Religion
Hindu 33.4 57.6 7.7 24.1 29.9 73,632
Muslim 24.3 45.0 7.4 19.2 42.0 14,633
Christian 35.1 61.9 7.5 28.2 26.2 2,426
Sikh 21.7 56.0 4.4 18.5 35.2 886
Jain 71.6 69.5 4.9 39.3 4.8 280
Other 45.1 51.1 10.5 7.1 37.6 269
Caste/tribe
Scheduled caste 27.2 53.9 6.4 20.8 34.6 18,977
Scheduled tribe 20.0 44.0 7.0 15.9 45.7 8,441
Other 36.4 59.3 7.8 23.3 28.8 26,244
Don't know 13.7 40.1 5.8 19.9 48.7 496
Continued…
99
Table 3.5.2 Exposure to mass media: Men—Continued
Percentage of men age 15-49 who usually read a newspaper or magazine, watch television, or listen to the radio at least once a
week, who usually visit the cinema or theatre at least once a month, and who are not regularly exposed to any of these media by

Reads a Visits the
magazine at least television at least radio at least theatre at least exposed to Number
Background characteristic once a week once a week once a week once a month any media of men
Wealth quintile
Lowest 10.3 24.2 4.2 8.6 65.0 15,606
Second 18.5 44.1 5.4 14.1 44.3 18,497
Middle 29.9 59.9 8.0 22.9 27.0 19,829
Fourth 41.6 69.6 9.3 29.9 17.5 20,658
Highest 56.0 74.5 10.4 38.6 11.7 18,553
Total age 15-49 32.2 55.9 7.6 23.5 31.6 93,144
Age 50-54 32.3 53.9 8.3 8.5 36.9 8,695
Total age 15-54 32.2 55.7 7.7 22.2 32.1 101,839
100
Table 3.6 Internet usage
Percentage of women and men age 15-49 who have ever used the internet, by
selected background characteristics, India, 2019-21
Women Men
Ever used Ever used
Background characteristic internet Number internet Number
Age
15-19 40.5 18,240 42.2 16,385
20-24 48.5 17,809 65.4 14,384
25-29 41.0 17,398 66.6 14,195
30-34 33.8 15,295 60.5 13,109
35-39 25.3 14,558 48.2 13,029
40-44 19.2 11,973 38.5 10,846
45-49 13.4 12,741 31.7 11,197
Residence
Urban 51.8 34,839 65.5 32,852
Rural 24.6 73,175 43.4 60,291
Schooling
No schooling 4.7 24,485 17.0 9,982
<5 years complete 7.5 5,715 24.1 5,842
5-7 years complete 14.7 14,547 36.1 12,082
8-9 years complete 27.4 19,237 45.7 18,472
10-11 years complete 43.3 16,278 56.0 16,735
12 or more years complete 72.0 27,751 74.7 30,032
Marital status
Never married 50.3 25,505 56.5 36,503
Currently married 28.7 77,729 48.1 55,475
Widowed/divorced/
separated/deserted 18.7 4,780 37.0 1,165
Religion
Hindu 33.0 87,179 50.9 73,632
Muslim 30.1 15,138 50.6 14,633
Christian 46.0 2,495 51.6 2,426
Sikh 53.3 1,908 75.0 886
Buddhist/Neo-Buddhist 34.7 652 52.6 1,017
Jain 70.8 214 75.9 280
Other 29.2 428 54.5 269
Caste/tribe
Scheduled caste 27.0 23,427 47.1 18,977
Scheduled tribe 20.6 9,909 38.7 8,441
Other backward class 33.3 47,251 52.6 38,986
Other 44.2 26,733 56.4 26,244
Don't know 18.0 694 44.2 496
Continued…
101
Table 3.6 Internet usage—Continued
Percentage of women and men age 15-49 who have ever used the internet, by
selected background characteristics, India, 2019-21
Women Men
Ever used Ever used
Background characteristic internet Number internet Number
Wealth quintile
Lowest 8.6 19,904 25.7 15,606
Second 17.1 22,049 37.3 18,497
Middle 27.6 22,252 48.0 19,829
Fourth 42.7 22,376 61.9 20,658
Highest 69.2 21,432 78.2 18,553
Total age 15-49 33.3 108,014 51.2 93,144
Age 50-54 na na 24.6 8,695
Total age 15-54 na na 49.0 101,839
na = Not applicable
102
Table 3.7 Exposure to mass media and internet usage by state/union territory
Percentage of women and men age 15-49 who usually read a newspaper or magazine, watch television, or listen to the radio at least once a week, who usually visit the cinema or theatre at least
once a month, who are not regularly exposed to any of these media and who have ever used the internet, by state/union territory, India, 2019-21
Women Men
Reads a Visits the Reads a Visits the
newspaper Watches Listens to cinema/ newspaper Watches Listens to cinema/
or magazine television the radio theatre Not regularly or magazine television the radio theatre Not regularly
at least once at least once at least once at least once exposed to Ever used at least once at least once at least once at least once exposed to Ever used
State/union territory a week a week a week a month any media internet a week a week a week a month any media internet
India 14.5 53.5 4.2 9.5 41.2 33.3 32.2 55.9 7.6 23.5 31.6 51.2
North
Chandigarh 23.9 75.5 2.8 9.8 18.6 75.2 29.2 62.9 2.0 7.0 28.9 91.9
Delhi 20.3 78.3 9.9 18.1 16.4 63.8 34.5 71.8 12.8 19.2 17.7 85.2
Haryana 12.9 62.6 2.1 7.3 32.9 48.4 29.4 52.7 6.3 10.1 36.6 72.4
Jammu & Kashmir 14.5 46.6 18.5 4.5 44.9 43.3 32.2 54.9 27.4 9.2 30.6 62.0
Ladakh 25.3 51.7 32.2 4.3 34.3 56.4 42.7 60.9 32.3 1.1 27.9 47.9
103
Punjab 11.6 61.1 2.4 7.6 33.9 54.8 16.2 54.8 3.2 16.8 36.1 78.2
Rajasthan 12.8 46.4 2.8 4.2 49.0 36.9 35.1 43.6 4.2 11.6 41.3 65.2
Uttarakhand 13.1 62.4 2.0 6.2 33.7 45.1 25.3 61.2 4.4 6.2 32.5 74.6
Central
Chhattisgarh 12.9 59.9 3.6 10.2 36.5 26.7 24.8 55.1 7.7 20.8 34.5 56.3
Madhya Pradesh 11.4 48.8 4.2 7.1 46.6 26.9 23.4 47.7 6.8 10.1 43.6 55.7
Uttar Pradesh 9.1 39.1 3.3 5.1 56.5 30.6 29.6 42.0 6.7 9.3 45.4 59.1
East
Bihar 8.2 27.7 1.6 4.9 67.0 20.6 29.0 38.2 5.2 10.0 47.7 35.4
Jharkhand 9.3 29.7 2.3 5.6 65.3 31.4 28.4 34.5 5.5 9.7 53.0 57.9
Odisha 9.3 59.3 1.4 4.7 37.8 24.9 22.9 53.2 3.2 12.4 38.2 50.7
West Bengal 9.1 52.2 3.0 8.0 44.6 25.5 17.1 46.1 2.6 10.0 47.1 41.9
Continued…
Table 3.7 Exposure to mass media and internet usage by state/union territory—Continued
Percentage of women and men age 15-49 who usually read a newspaper or magazine, watch television, or listen to the radio at least once a week, who usually visit the cinema or theatre at least
once a month, who are not regularly exposed to any of these media and who have ever used the internet, by state/union territory, India, 2019-21
Women Men
Reads a Visits the Reads a Visits the
newspaper Watches Listens to cinema/ newspaper Watches Listens to cinema/
or magazine television the radio theatre Not regularly or magazine television the radio theatre Not regularly
at least once at least once at least once at least once exposed to Ever used at least once at least once at least once at least once exposed to Ever used
State/union territory a week a week a week a month any media internet a week a week a week a month any media internet
Northeast
Assam 5.4 35.9 2.0 10.2 57.9 28.2 10.4 44.7 3.9 21.0 44.1 36.9
Manipur 19.5 44.2 19.7 5.1 41.1 44.8 36.7 43.4 24.8 4.5 38.1 68.5
Meghalaya 17.8 46.3 7.5 6.1 46.3 34.7 12.8 30.4 6.2 8.4 58.6 36.5
Mizoram 38.6 68.1 2.4 0.8 26.3 67.6 43.0 73.0 9.4 0.8 19.2 67.6
Nagaland 19.7 39.7 2.2 4.2 52.8 49.9 29.4 41.0 4.9 1.9 49.4 52.8
Sikkim 20.3 55.6 8.0 39.1 27.5 76.7 23.4 58.3 7.8 33.3 25.2 64.6
Tripura 5.9 52.3 0.8 4.2 45.6 22.9 14.2 48.3 3.2 3.8 46.2 41.7
104
West
and Daman & Diu 11.4 72.4 1.1 8.6 25.1 36.7 16.4 53.1 2.1 24.0 34.0 61.3
Goa 47.4 85.0 6.9 46.3 8.0 73.7 58.9 93.5 1.9 58.1 2.3 69.7
Gujarat 17.2 54.6 3.9 10.6 40.2 30.8 32.8 55.2 3.2 17.7 33.5 52.6
Maharashtra 21.0 59.5 5.4 14.8 32.3 38.0 40.1 64.5 8.6 29.3 22.3 52.9
South
Andaman & Nicobar
Islands 9.8 77.9 6.2 23.3 14.9 34.8 13.2 86.2 9.4 25.7 9.3 45.6
Andhra Pradesh 15.9 73.6 1.8 15.9 21.2 21.0 35.1 72.8 5.4 51.2 12.8 41.9
Karnataka 28.6 73.8 10.0 25.6 19.5 35.0 42.7 67.7 19.8 49.0 13.1 56.3
Kerala 58.0 72.2 10.8 11.8 13.3 61.1 65.9 75.8 14.7 41.4 7.1 62.5
Lakshadweep 14.2 61.5 7.4 0.9 33.2 56.3 13.3 55.2 17.8 0.0 41.1 80.3
Puducherry 16.8 80.9 11.9 19.4 12.3 61.9 39.5 72.1 13.6 38.8 13.5 80.7
Tamil Nadu 14.5 83.4 7.2 11.1 12.6 46.9 33.7 78.6 12.9 28.8 12.2 70.2
Telangana 17.1 75.1 2.1 15.7 20.1 26.5 41.6 75.2 6.1 48.4 11.8 50.0
Table 3.8 Employment status: Women
Percent distribution of women age 15-49 by employment status, according to background

Employed in the 12 months Not employed

preceding the survey in the 12
months
Currently Not currently preceding Number of
Background characteristic employed1 employed the survey Total women
Age
15-19 11.1 3.7 85.2 100.0 18,240
20-24 16.6 4.4 78.9 100.0 17,809
25-29 23.0 5.0 71.9 100.0 17,398
30-34 30.6 5.6 63.9 100.0 15,295
35-39 34.6 6.3 59.1 100.0 14,558
40-44 35.6 6.3 58.1 100.0 11,973
45-49 33.5 6.2 60.3 100.0 12,741
Residence
Urban 23.7 3.2 73.2 100.0 34,839
Rural 26.0 6.2 67.8 100.0 73,175
Schooling
No schooling 33.8 7.5 58.6 100.0 24,485
<5 years complete 34.3 6.5 59.1 100.0 5,715
5-7 years complete 27.9 5.7 66.4 100.0 14,547
8-9 years complete 20.7 4.8 74.5 100.0 19,237
10-11 years complete 18.4 4.2 77.4 100.0 16,278
12 or more years complete 21.5 3.6 74.9 100.0 27,751
Marital status
Never married 16.7 4.1 79.2 100.0 25,505
Currently married 26.6 5.4 68.1 100.0 77,729
Widowed/divorced/
separated/deserted 49.1 8.7 42.3 100.0 4,780
Number of living children

0 17.8 4.4 77.8 100.0 33,396
1-2 27.3 5.0 67.6 100.0 47,310
3-4 30.7 6.5 62.8 100.0 22,743
5 or more 30.4 6.9 62.6 100.0 4,565
Wealth quintile
Lowest 27.7 7.4 64.9 100.0 19,904
Second 27.2 6.4 66.4 100.0 22,049
Middle 27.6 5.5 66.9 100.0 22,252
Fourth 23.7 4.0 72.3 100.0 22,376
Highest 20.2 3.0 76.9 100.0 21,432
Total 25.2 5.2 69.5 100.0 108,014

1
"Currently employed" is defined as having done work in the past seven days. Includes women who did not work
in the past seven days but who are regularly employed and were absent from work for leave, illness, vacation, or
any other such reasons.
105
Table 3.9 Employment status: Men
Percent distribution of men age 15-49 by employment status, according to background characteristics,
India, 2019-21
Employed in the 12 months Not employed

preceding the survey in the 12
months
Currently Not currently preceding Number
Background characteristic employed1 employed the survey Total of men
Age
15-19 27.3 5.3 67.4 100.0 16,385
20-24 62.6 7.4 30.1 100.0 14,384
25-29 84.3 6.7 9.1 100.0 14,195
30-34 91.6 5.2 3.2 100.0 13,109
35-39 93.3 4.6 2.2 100.0 13,029
40-44 91.7 5.2 3.1 100.0 10,846
45-49 90.9 6.2 2.9 100.0 11,197
Residence
Urban 75.3 3.8 20.9 100.0 32,852
Rural 74.6 6.9 18.5 100.0 60,291
Schooling
No schooling 87.3 7.0 5.7 100.0 9,982
<5 years complete 89.3 7.5 3.2 100.0 5,842
5-7 years complete 86.2 6.2 7.6 100.0 12,082
8-9 years complete 72.6 6.5 21.0 100.0 18,472
10-11 years complete 66.4 4.9 28.6 100.0 16,735
Marital status
Never married 48.4 6.3 45.4 100.0 36,503
Widowed/divorced/

0 56.5 6.6 36.9 100.0 46,373
1-2 93.6 4.4 2.0 100.0 31,541
3-4 92.0 6.1 1.9 100.0 12,900
5 or more 90.4 7.7 2.0 100.0 2,329
Wealth quintile
Lowest 75.6 10.0 14.4 100.0 15,606
Second 75.2 7.1 17.6 100.0 18,497
Middle 75.6 5.5 18.9 100.0 19,829
Fourth 76.1 3.7 20.2 100.0 20,658
Highest 71.7 3.6 24.7 100.0 18,553
Total age 15-49 74.8 5.8 19.3 100.0 93,144
Age 50-54 90.5 5.4 4.1 100.0 8,695
Total age 15-54 76.2 5.8 18.0 100.0 101,839

1
"Currently employed" is defined as having done work in the past seven days. Includes men who did not work in
the past seven days but who are regularly employed and were absent from work for leave, illness, vacation, or any
other such reasons.
106
Table 3.10 Employment status of women and men by state/union territory
Percent distribution of women and men age 15-49 by employment status, according to state/union territory, India, 2019-21
Women Men
Not employed Not employed
in the 12 in the 12
Not months Not months
Currently currently preceding Currently currently preceding
State/union territory employed1 employed the survey Total employed1 employed the survey Total
India 25.2 5.2 69.5 100.0 74.8 5.8 19.3 100.0
North
Chandigarh 20.5 1.6 78.0 100.0 71.0 1.1 28.0 100.0
Delhi 22.5 2.9 74.7 100.0 75.6 3.8 20.6 100.0
Haryana 18.9 3.8 77.2 100.0 69.5 3.5 27.0 100.0
Jammu & Kashmir 21.9 7.5 70.6 100.0 68.2 4.7 27.1 100.0
Ladakh 27.2 13.4 59.4 100.0 67.5 3.1 29.4 100.0
Punjab 21.7 3.2 75.1 100.0 76.2 4.2 19.6 100.0
Rajasthan 22.0 6.3 71.7 100.0 68.9 6.2 25.0 100.0
Uttarakhand 22.0 5.0 73.0 100.0 70.2 4.9 25.0 100.0
Central
Chhattisgarh 31.3 16.1 52.6 100.0 71.7 12.0 16.3 100.0
Madhya Pradesh 27.8 7.4 64.8 100.0 75.9 6.9 17.2 100.0
Uttar Pradesh 16.7 4.1 79.3 100.0 68.1 8.6 23.2 100.0
East
Bihar 14.3 3.2 82.5 100.0 64.5 10.4 25.1 100.0
Jharkhand 21.8 3.8 74.4 100.0 71.4 7.4 21.2 100.0
Odisha 23.2 5.5 71.3 100.0 75.8 8.6 15.6 100.0
West Bengal 18.5 3.2 78.3 100.0 80.4 6.2 13.3 100.0
Northeast
Assam 17.9 3.1 79.0 100.0 76.5 6.4 17.1 100.0
Manipur 40.1 9.1 50.8 100.0 77.7 4.5 17.8 100.0
Meghalaya 41.7 6.0 52.3 100.0 77.5 4.2 18.3 100.0
Mizoram 25.1 10.1 64.8 100.0 73.7 7.9 18.4 100.0
Nagaland 33.7 4.9 61.4 100.0 66.3 4.8 28.9 100.0
Sikkim 31.4 7.5 61.1 100.0 64.3 7.8 27.9 100.0
Tripura 21.7 9.2 69.1 100.0 76.6 3.9 19.5 100.0
West
Daman & Diu 29.7 2.6 67.8 100.0 86.9 1.8 11.3 100.0
Goa 30.7 2.4 66.8 100.0 75.5 2.4 22.1 100.0
Gujarat 33.2 5.2 61.5 100.0 80.8 4.6 14.6 100.0
Maharashtra 36.7 4.2 59.1 100.0 78.1 3.4 18.5 100.0
Continued…
107
Table 3.10 Employment status of women and men by state/union territory—Continued
Percent distribution of women and men age 15-49 by employment status, according to state/union territory, India, 2019-21
Women Men
Not employed Not employed
in the 12 in the 12
Not months Not months
Currently currently preceding Currently currently preceding
State/union territory employed1 employed the survey Total employed1 employed the survey Total
South
Andhra Pradesh 37.3 10.3 52.3 100.0 78.7 3.3 18.0 100.0
Karnataka 35.1 5.8 59.1 100.0 75.7 5.0 19.3 100.0
Kerala 22.8 3.3 73.9 100.0 70.5 4.3 25.3 100.0
Lakshadweep 9.2 1.7 89.1 100.0 74.9 1.7 23.4 100.0
Puducherry 33.0 6.4 60.7 100.0 79.4 4.2 16.4 100.0
Tamil Nadu 36.8 6.0 57.2 100.0 80.1 3.5 16.5 100.0
Telangana 38.6 9.7 51.8 100.0 74.9 5.0 20.1 100.0
1
"Currently employed" is defined as having done work in the past seven days. Includes persons who did not work in the past seven days but who are regularly
employed and were absent from work for leave, illness, vacation, or any other such reasons.
108
Table 3.11 Occupation
Percent distribution of women and men age 15-49 employed in the 12 months preceding the
survey by occupation, according to residence, India, 2019-21
Occupation Urban Rural Total
Women
Professional1 22.2 5.4 10.2
Clerical 3.2 1.1 1.7
Sales worker 11.0 3.8 5.9
Agricultural worker 9.4 60.8 46.2
Service worker 20.8 7.3 11.1
Production worker2 27.9 17.7 20.6
Other 5.1 3.7 4.1
Don't know 0.4 0.3 0.3
Total 100.0 100.0 100.0

Number 9,353 23,540 32,893
Men
Professional1 13.2 4.3 7.4
Clerical 4.0 1.5 2.3
Sales worker 18.2 7.5 11.2
Agricultural worker 6.5 46.1 32.4
Service worker 13.3 6.2 8.7
Production worker2 37.9 29.3 32.2
Other 6.7 4.9 5.5
Don't know 0.2 0.3 0.2
Total 100.0 100.0 100.0

Number 25,993 49,134 75,127
1
Includes technical, administrative, and managerial occupations
2
Includes skilled and unskilled manual occupations
109
Table 3.12 Type of employment
Percent distribution of women age 15-49 employed in the 12 months preceding the survey by type of employer and percent
distributions of women and men age 15-49 employed in the 12 months preceding the survey by continuity of employment, and
type of earnings, according to the type of occupation (agricultural or non-agricultural), India, 2019-21
Women Men
Agricultural Non-agricultural Agricultural Non-agricultural
Employment characteristic work work Total work work Total
Type of employer
Employed by family member 83.5 69.4 75.9 na na na
Employed by non-family
member 10.0 14.9 12.7 na na na
Self-employed 6.4 15.7 11.4 na na na
Total 100.0 100.0 100.0 na na na
Continuity of employment
All year 42.4 75.0 59.9 63.5 84.4 77.6
Seasonal 53.8 20.0 35.6 34.9 13.8 20.6
Occasional 3.8 5.0 4.4 1.6 1.8 1.7
Total 100.0 100.0 100.0 100.0 100.0 100.0
Type of earnings
Cash only 62.5 87.4 75.9 66.1 95.5 85.9
Cash and in-kind 10.4 4.8 7.4 20.2 2.7 8.4
In-kind only 3.4 1.2 2.3 3.5 0.4 1.4
Not paid 23.7 6.5 14.4 10.3 1.4 4.3
Total 100.0 100.0 100.0 100.0 100.0 100.0
Number 15,188 17,705 32,893 24,339 50,788 75,127
110
FERTILITY AND FERTILITY PREFERENCES 4
Key Findings
 Total fertility rate: The total fertility rate is 2.0 children

per woman, which declined from 2.2 children in 2015-
16 and is currently below the replacement level of
fertility of 2.1 children per woman.
 Birth intervals: The median birth interval is 33 months
since the preceding birth.
 Age at first birth: The median age at first birth among
women age 25-49 is 21.2 years.
 Teenage childbearing: Seven percent of women age
15-19 have begun childbearing, which is just a one
percent decline from 2015-16.
 Desire for another child: About one-fourth (23%) of
currently married women age 15-49 want to have
another child.
 Wanted fertility rate: The wanted fertility rate is 1.6
children per woman and ranges from 0.9 children in
Sikkim to 2.7 children in Meghalaya.
T
he number of children that a woman bears depends on many factors, including the age she begins childbearing,
how long she waits between births, and her fecundity. Postponing first births and extending the interval between
births have played a role in reducing fertility levels in many countries. These factors also have positive health
consequences. In contrast, short birth intervals (of less than 24 months) can lead to harmful outcomes for both newborns
and their mothers, such as preterm birth, low birth weight, and death. Childbearing at a very young age is associated with
an increased risk of complications during pregnancy and childbirth and higher rates of neonatal mortality.
This chapter describes the current level of fertility in India and some of its proximate determinants. It presents information
on the total fertility rate, birth intervals, insusceptibility to pregnancy (due to postpartum amenorrhoea, postpartum
abstinence, or menopause), age at first birth, and teenage childbearing.
4.1 CURRENT FERTILITY
Total fertility rate (TFR)

The average number of children a woman would have by the end of her
childbearing years if she bore children at the current age-specific fertility rates.
Age-specific fertility rates are calculated for the three years before the survey,
based on detailed birth histories provided by women.
Sample: Women age 15-49
111
The total fertility rate (TFR) in India is 2.0 children per woman (Table 4.1), which is slightly lower than the replacement
level of fertility of 2.1 children per woman. Women in rural areas have higher fertility, on average, than women in urban
areas (TFR of 2.1 versus 1.6 children).
Figure 4.1 Trends in Fertility by Residence

Total fertility
Total fertility rate
rate for
for the
the three
three years
years before
before the
the survey
survey
3.7
3.7 3.4
3.1 3.0 3.4 2.9
2.7 3.1 3.0 2.9 2.7
2.7 2.3 2.4 2.7 2.2
2.3 2.1 2.4 2.1
2.1 1.8 1.6 2.1 2.2 2.0
2.0
1.8 1.6
Urban Rural Total

Urban Rural Total
NFHS-1 NFHS-2 NFHS-3 NFHS-4 NFHS-5
NFHS-1 NFHS-2 NFHS-3 NFHS-4 NFHS-5
Trends: The TFR has declined noticeably in India over time. Between 1992-93 and 2019-21, the TFR declined from 3.4
children to 2.0 children (a decrease of 1.4 children) (Figure 4.1). The TFR among women in rural areas has declined from
3.7 children in 1992-93 to 2.1 children in 2019-21. The corresponding decline among women in urban areas was from 2.7
children in 1992-93 to 1.6 children in 2019-21. In all NFHS surveys, irrespective of place of residence, the fertility rate
peaks at age 20-24, after which it declines steadily. (Figure 4.3)
 The number of children per woman declines with women’s level of schooling. Women with no schooling have an
average of 2.8 children, compared with 1.8 children for women with 12 or more years of schooling (Table 4.2).
 Women in the lowest wealth quintile have an average of 1.0 more children than women in the highest wealth quintile
(TFR of 2.6 children versus 1.6 children) (Figure 4.2).
 The TFR varies from a low of 1.4 children per woman among Buddhists/Neo-Buddhists to a high of 2.4 children per
woman among Muslims.
 The TFR ranges from 1.1 children per woman in Sikkim to 3.0 children per woman in Bihar (Table 4.3).
 Thirty-one states and union territories, including all the states in the south region, the west region, and the north region
have fertility below the replacement level of 2.1 children per woman.
112
Figure 4.2 Fertility by Household Wealth Figure 4.3 Trends in Age-specific Fertility Rates
Total
Total fertility
fertility rate
rate for
for the
the three
three years
years before
before the
the survey
survey Births per 1,000 women
250
NFHS-1
200
NFHS-2
2.6 NFHS-3
2.6 150
2.1 NFHS-4
1.9 1.7
2.1 1.6
1.9 NFHS-5
1.7 1.6 100
50
Lowest Second Middle Fourth Highest
Poorest Wealthiest 0
15-19 20-24 25-29 30-34 35-39 40-44 45-49
Poorest Wealthiest
Age
 Age-specific fertility rates in the five-year period before the survey show that fertility has declined in all age cohorts
from NFHS-3 to NFHS-5. Among women age 15-19 years, fertility has declined from 90 to 43; for women age 20-24
years, it has declined from 209 to 165, and for women age 25-29 years, it has declined from 139 to 122 (Table 4.1 and
Figure 4.3).
4.2 CHILDREN EVER BORN AND LIVING

NFHS-5 collected data on the number of children ever born to women age 15-49 and those still living. On average, women
age 45-49 have given birth to 3.1 children over their lives. Of these, 2.8 children survived to the time of the survey.
Currently married women age 45-49 had an average of 3.2 children, and 2.9 of these were alive at the time of the survey
(Table 4.5).
4.3 BIRTH ORDER

Among the births in the three years preceding the survey, 40 percent were of birth order one, 34 percent were second-order
births, 15 percent were third-order births, and the rest were of birth order four or higher (Table 4.6).
Trends: Among births in the three years preceding the survey, 12 percent were of birth order four or higher, compared
with 14 percent in 2015-16.
 The percentage of births of order four or more declines steadily for higher wealth quintiles (from 22% of the births to
women in the lowest wealth quintile to 3% of the births to women in the highest wealth quintile).
 Thirteen percent of births were fourth-order births or higher in rural areas, compared with 8 percent in urban areas.
 Thirty-two percent of births to women with no schooling were of birth order four or higher, compared with 2 percent
of births to women with 12 or more years of schooling.
113
4.4 BIRTH INTERVALS
Median birth interval

Number of months since the preceding birth by which half of the children are
born.
Sample: Non-first births in the five years before the survey
Short birth intervals (<24 months) are associated

with increased health risks for both mothers and Figure 4.4 Birth Intervals
newborns. The median birth interval in India is 32.7 Percent distribution of
Percent distribution of non-first
non-first order
order births
births by
by number
number of
of
months (Table 4.7). Twenty-seven percent of births months since the preceding birth
months since the preceding birth
occurred less than 24 months since the preceding
birth (Figure 4.4).
60+
48-59 60+
16%
Patterns by background characteristics 48-59
10% 16% 7-17
10% 7-17
11%
11%
 Births to older women occurred after longer
intervals than births to younger women. The 36-47 18-23
median birth interval among women age 40-49 is 18%
36-47 17%
18-23
29 months longer than the median among women 18% 17%
age 15-19 (50.1 months versus 21.0 months). 24-35
30%
 Births to women in wealthier households 24-35
30%
occurred after longer birth intervals. The median
birth interval in the highest wealth quintile is 11
months longer than in the lowest quintile (41.3
months versus 30.5 months).
 The median birth interval is 10 months longer if the preceding birth is living than if the preceding birth has died.
 Among the religious groups, the median birth interval is the lowest among Hindus (32.3 months) and the highest among
Jains (48.2 months).
 Birth intervals are longer for births to women with 12 or more years of schooling than women with no schooling (36.1
months versus 30.9 months)
4.5 AGE AT FIRST BIRTH
Median age at first birth

Age by which half of the women have had their first child.
The median age at first birth among women age 25-49 in India is 21.2 years (Table 4.8).
114
 Women age 25-49 in urban areas have their

first birth, on average, more than 1 year later Figure 4.5 Median Age at First Birth by Schooling
than women in rural areas (22.3 years Among Among women
women age
age 25-49
25-49
versus 20.8 years) (Table 4.9).
 The median age at first birth increases from

24.9
19.9 years or less among women age 25-49 21.0 21.7 24.9
19.9 19.8 20.2 21.7
with no schooling or less than 5 years of 19.9 19.8 20.2 21.0
schooling to 24.9 years among women with

12 or more years of schooling (Figure 4.5).
 The median age at first birth to women in

No schooling <5 years 5-7 years 8-9 years 10-11 years 12 or more
the highest wealth quintile is 2.9 months No schooling complete
<5 years complete
5-7 years complete
8-9 years complete
10-11 years 12 years
or more
longer than for women in the lowest wealth complete complete complete complete complete
years
complete
quintile (23.2 months versus 20.3 months).
4.6 MENSTRUAL PROTECTION
Hygienic methods of protection during the menstrual period

Women who use locally prepared napkins, sanitary napkins, menstrual cups, or
tampons during their menstrual period.
Using a hygienic method of menstrual protection is important for women’s health and personal hygiene. In NFHS-5,
women age 15-24 were asked what method or methods they use for menstrual protection, if anything. In India, 64 percent
use sanitary napkins, 50 percent use cloth, and 15 percent use locally prepared napkins. Overall, 78 percent of women in
this age group use a hygienic method of menstrual protection (Table 4.13).
 Women with 12 or more years of schooling are more than twice as likely to be using a hygienic method as women with
no schooling (90% versus 44%).
 Women in the highest wealth quintile are almost twice as likely to use a hygienic method as women in the lowest wealth
quintile (95% versus 54%).
 Seventy-three percent of rural women use a hygienic method of menstrual protection, compared with 90 percent of
urban women.
 The lowest percentage of women use a hygienic method of menstrual protection in Bihar (59%), Madhya Pradesh
(61%), and Meghalaya (65%) (Table 4.14).
115
4.7 BATHING PRACTICES DURING MENSTRUAL PERIOD
Bathing practices during menstrual period

Percentage of women who take a bath during their menstrual period, and take
a bath in the same bathroom used by other household members.
Sample: Women age 15-49 who had a menstrual period in the six months
before the survey
In NFHS-5, women age 15-49 who had a menstrual period in the last six months reported that 96 percent take a bath during
their menstrual period. Ninety-two percent take a bath during their menstrual period in the same bathroom where other
household members take a bath (Table 4.15).
 Overall, 96 percent of women in urban areas and 91 percent of women in rural areas take a bath during their menstrual
period in the same bathroom where other household members take a bath.
 Women with 12 or more years of schooling are more likely (97%) to take a bath during their menstrual period than
women with no schooling (94%).
 Jain and Hindu women (98-99%) are more likely to take a bath during their menstrual period than Muslim women
(88%). Almost all Sikh, Buddhist/Neo Buddhist, and Jain women take a bath in the same bathroom where other
household members take a bath.
 Ninety-seven percent of women from the highest wealth quintile take a bath during their menstrual period in the same
bathroom where other household members take a bath, compared with 85 percent of women in the lowest wealth
quintile.
 More than 90 percent of women across the states and union territories take a bath during their menstrual period, except
in Ladakh (37%), Jammu and Kashmir (43%), Meghalaya (84%), and Manipur (85%). Ninety percent or more take a
bath in the same bathroom used by other household members, except in Odisha (72%), West Bengal and Tripura (75%
each), Tamil Nadu (85%), Puducherry, Gujarat, and Assam (88% each), and Meghalaya (89%) (Table 4.16).
4.8 TEENAGE CHILDBEARING
Teenage childbearing
Women who have given birth or are pregnant with their first child.
In India, 7 percent of women age 15-19 have begun childbearing; 5 percent of women have had a live birth and 2 percent
of women are pregnant with their first child (Table 4.10).
Trends: The level of teenage childbearing declined slightly between 2015-16 (8%) and 2019-21 (7%).
 Teenage pregnancy is relatively high in rural areas. Eight percent of women in rural areas in the age group 15-19 have
begun childbearing (Table 4.10).
116
 The level of teenage pregnancy decreases with an increasing level of schooling. Eighteen percent of women age 15-19
with no schooling have already begun childbearing, compared with only 4 percent of women who had 12 or more years
of schooling.
 Childbearing among women age 15-19 decreases with the level of wealth. Only 2 percent of teenage women in the
highest wealth quintile have begun childbearing, compared with 10 percent of teenage women in the lowest wealth
quintile.
 Teenage childbearing is higher among scheduled tribe women age 15-19 years (9%) than the other three caste/tribe
groups.
 Teenage childbearing is higher among Muslim women age 15-19 years (8%) than the other religious groups.
 More than half (53%) of currently married women age 15-19 have already begun childbearing.
 Tripura (22%), West Bengal (16%), Andhra Pradesh (13%), Assam (12%), Bihar (11%), and Jharkhand (10%) have
higher levels of teenage pregnancy than other states and union territories (Table 4.11 and Figure 4.6).
Figure 4.6 Teenage Motherhood by State/UT

Percentage of women age 15-19 who have begun childbearing
Tripura 22
West Bengal 16
Andhra Pradesh 13
Assam 12
Bihar 11
Jharkhand 9.8
Manipur 8.6
Maharashtra 7.6
Odisha 7.5
Meghalaya 7.2
INDIA 6.8
Tamil Nadu 6.3
Arunachal Pradesh 6.0
Telangana 5.8
Karnataka 5.4
Gujarat 5.2
Madhya Pradesh 5.1
Dadra & Nagar Haveli and Daman & Diu 4.3
Puducherry 4.1
Mizoram 4.1
Haryana 3.9
Nagaland 3.8
Rajasthan 3.7
Himachal Pradesh 3.4
Delhi 3.3
Sikkim 3.1
Chhattisgarh 3.1
Punjab 3.1
Andaman & Nicobar Islands 3.0
Uttar Pradesh 2.9
Goa 2.7
Kerala 2.4
Uttarakhand 2.4
Lakshadweep 1.1
Jammu & Kashmir 1.0
Chandigarh 0.8
117
Information on fertility preferences can help family planning programme planners assess the desire for children, the extent
of mistimed and unwanted pregnancies, and the demand for contraception to space or limit births. This information may
suggest the direction that fertility patterns will take in the future.
This section presents information on whether and when married women and men want more children, ideal family size,
whether the last birth was wanted at that time, and the theoretical fertility rate if all unwanted births were prevented.
4.9 DESIRE FOR ANOTHER CHILD
Desire for another child

Women and men were asked whether they wanted more children and, if so, how
long they would prefer to wait before the next child. Women and men who are
sterilized are assumed not to want any more children.
Sample: Currently married women and men age 15-49
Nearly one in four (23%) currently married women age 15-49 want to have another child. Twelve percent of women want
to have a child soon and 10 percent want to wait at least two years before having another child. Most other women want
to limit childbearing: 32 percent want no more children and 38 percent are sterilized. Similar to women, a little over one
in four (26%) currently married men age 15-49 want to have another child. Thirteen percent of men want to have another
child soon, 11 percent want to wait at least two years before having another child, 61 percent want no more children, and
10 percent are sterilized or have wives who are sterilized (Table 4.12). Eighty-six percent of women with two living
children (including those who are sterilized) do not want any more children (Table 4.17).
Trends: The percentage of currently married women age 15-49 who want no more children (including women who were
sterilized) was slightly lower in 2015-16 (68%) than in 2019-21 (70%).
 The proportion of currently married women who want no more children increases with age. Only 25 percent of currently
married women age 15-24 want no more children, compared with 66 percent age 25-34 years and 89 percent age 35-
49.
 Seventy-two percent of Sikh and 71 percent of Hindu currently married women age 15-49 want no more children,
compared with 64 percent of Muslim currently married women.
 Sixty-five percent of currently married women

age 15-49 with two living daughters and no Figure 4.7 Currently Married Women and Men Age 15-49
sons want no more children, compared with 91
with Two Children Who Want No More Children by
Number of Living Sons
percent with two sons and no daughters. The
Percentage
pattern is similar for men, indicating that son
91 89 90 89
preference is still an important factor in overall
fertility preferences in India (Figure 4.7).
65 66
 The desire of women not to have any more
children is relatively low in the northeast states
except Tripura, Sikkim, and Assam, in Bihar
(66%) in the East, Goa (60%) in the West,
Ladakh (48%) and Jammu & Kashmir (52%) in
the North, and Kerala (64%) in the South.
Among the union territories, Lakshadweep has Women Men
the lowest percentage of women (40%)
desiring no more children (Table 4.18). 2 sons 1 son No son
118
4.10 IDEAL FAMILY SIZE
Ideal family size

Respondents with no children were asked, “If you could choose exactly the
number of children to have in your whole life, how many would that be?”
Respondents who had children were asked: “If you could go back to the time
when you did not have any children and could choose exactly the number of
children to have in your whole life, how many would that be?”
If both men and women age 15-49 were given a chance to choose their family size, they would both want to have an
average of 2.1 children (Table 4.19.1 and Table 4.19.2). The composition of the ideal family among women age 15-49
comprises an average of 1.0 ideal number of sons, 0.9 daughters, and 0.2 children of either of sex, which is almost the
same as the current total fertility rate. About four-fifths (81%) of women age 15-49 want at least one son and a similar
proportion (79%) want at least one daughter. Only 3 percent of women want to have more daughters than sons, whereas
15 percent want to have more sons than daughters. The mean ideal number of sons and daughters among men is almost the
same as among women. About four-fifths (81%) of men want at least one son, and 76 percent want at least one daughter.The
mean ideal number of sons and daughters among men is almost the same as among women. The percentage of men who
want more sons than daughters (16%) and want more daughters than sons (4%) are almost the same as the sex preferences
for women.
Trends: The average ideal family size among women age 15-49 has declined only marginally, from 2.2 in 2015-16 to 2.1
in 2019-21.
 Older women want somewhat larger families than younger women. The average ideal family size increases from 1.8
children among women age 15-19 to 2.3 children among women age 40-49.
 The ideal family size declines with an increasing level of education among women. Women with no schooling consider
2.5 children to be ideal, compared with 1.8 children for women with 12 or more years of schooling.
 The average ideal size of the family decreases with increasing wealth status. The mean ideal family size is 2.4 children
among women in the lowest wealth quintile, compared with 2.0 children among women in the highest quintile. A similar
pattern is observed among men 15-49.
 Women in Mizoram (3.6), Meghalaya (3.2), Nagaland (3.0), Arunachal Pradesh and Manipur (2.7 each), Bihar (2.5),
and Ladakh, Uttar Pradesh, Jharkhand, and Lakshadweep (2.4 each) have the highest ideal number of children. Bihar
(31%), Mizoram (27%), Arunachal Pradesh (25%), Jharkhand (24%), and Manipur and Uttar Pradesh (23% each) have
the highest proportion of women who want more sons than daughters in their ideal family size, and the lowest proportion
is in Chandigarh (5%) and Goa, Andhra Pradesh, and Puducherry (6% each) (Table 4.20).
4.11 FERTILITY PLANNING STATUS
Planning status of birth

Women reported whether their most recent birth was wanted at the time
(planned birth), at a later time (mistimed birth), or not at all (unwanted birth).
Sample: Current pregnancies and births in the five years before the survey to
women age 15-49
Mothers reported that 92 percent of births in the five years preceding the survey (including current pregnancies) were
wanted at the time of conception, 4 percent were unwanted at the time of conception, and 4 percent were mistimed or
wanted at a later date (Table 4.21).
119
Trends: The percentage of births that were wanted at the time increased negligibly from 91 percent in 2015-16 to 92
percent in 2019-21.
 The more children a woman has, the more likely it is that her birth was unwanted. Only 0.6 percent of first-order births
were unwanted, compared with 7 percent of third-order births and 13 percent of fourth or higher-order births.
 The percentage of unwanted births increases with the mother’s age, ranging from 1 percent of births to women less than
20 years of age to 15 percent of births to women age 45-49.
4.12 WANTED FERTILITY RATES
Unwanted birth
Any birth in excess of the number of children a woman reported as her ideal
number.
Wanted birth
Any birth less than or equal to the number of children a woman reported as her
ideal number.
Wanted fertility rate
The average number of children a woman would have by the end of her
childbearing years if she bore children at the current age-specific fertility rates,
excluding unwanted births.
The total wanted fertility rate indicates the level

of fertility that would result if all unwanted births Figure 4.8 Trends in Wanted and Actual Fertility
were prevented. The total wanted fertility rate in
India is 1.6 children per woman, compared with
the actual total fertility rate of 2.0 children
(Table 4.22).
2.2
Trends: The total wanted fertility rate in India 2.0
slightly declined from 2015-16 (1.8 children) to Total fertility rate
2019-21 (1.6 children). The gap between the 0.4
0.4 Difference
actual and wanted fertility rates for both surveys
(2015-16 and 2019-21) is the same (0.4 each)
1.8 Total wanted
(Figure 4.8). 1.6 fertility rate
NFHS-4 NFHS-5
 The gap between the actual and wanted fertility rate is 0.4 children among women age 15-49 in rural areas, compared
with 0.2 children among women in urban areas.
 The total wanted fertility rate for women with no schooling is 2.2 children, compared with only 1.6 children for women
with 12 or more years of schooling. The gap between the actual and wanted fertility rates is much higher among women
with no schooling (0.6) than women with 12 or more years of schooling (0.2).
 Household wealth status not only affects wanted fertility but also affects the gap between the actual and wanted fertility
rates. The level of wanted fertility declines with rising levels of wealth, as does the gap between actual and wanted
120
fertility. The wanted fertility rate is 2.0 children among women in the lowest wealth quintile and 1.4 children among
women in the highest quintile. The gap between actual and wanted fertility is 0.6 children for women in the lowest
wealth quintile, but only 0.2 children for women in the highest quintile.
 In India, only two states have a wanted fertility rate above the replacement level of fertility—Meghalaya (2.7) and Bihar
(2.2), (Table 4.23).
 The gap between the actual and wanted fertility rate is 0.5 children or more only in Bihar (0.8) and Uttar Pradesh (0.5).
121
LIST OF TABLES
For more information on fertility levels and fertility preferences, see the following tables:
Tables
Table 4.1 Current fertility
Table 4.2 Fertility by background characteristics
Table 4.3 Fertility by state/union territory
Table 4.4 Age-specific fertility rates
Table 4.5 Children ever born and living
Table 4.6 Birth order
Table 4.7 Birth intervals
Table 4.8 Age at first birth
Table 4.9 Median age at first birth
Table 4.10 Teenage pregnancy and motherhood
Table 4.11 Teenage pregnancy and motherhood by state/union territory
Table 4.12 Fertility preferences by number of living children
Table 4.13 Menstrual protection
Table 4.14 Menstrual protection by state/union territory
Table 4.15 Bathing practices during menstrual period
Table 4.16 Bathing practices during menstrual period by state/union territory
Table 4.17 Desire to limit childbearing
Table 4.18 Desire to limit childbearing by state/union territory
Table 4.19.1 Indicators of sex preference: Women
Table 4.19.2 Indicators of sex preference: Men
Table 4.20 Indicators of sex preference by state/union territory
Table 4.21 Fertility planning status
Table 4.22 Wanted fertility rates
Table 4.23 Wanted fertility rates by state/union territory
122
Table 4.1 Current fertility
Age-specific and total fertility rates and crude birth rates from NFHS-5, NFHS-4, and NFHS-3, by residence, India
NFHS-5 NFHS-4 NFHS-3

Age Urban Rural Total Urban Rural Total Urban Rural Total
15-19 27 49 43 35 59 51 57 105 90
20-24 123 184 165 143 205 184 166 231 209
25-29 110 127 122 114 135 128 123 146 139
30-34 50 49 50 44 55 51 48 69 62
35-39 13 15 14 12 20 17 13 31 25
40-44 3 3 3 2 5 4 4 9 7
45-49 0 1 1 0 2 1 1 4 3
TFR 15-49 1.63 2.14 1.99 1.75 2.41 2.18 2.06 2.98 2.68
CBR 14.0 18.6 17.1 15.8 20.7 19.0 18.8 25.0 23.1
Note: Rates are for the period 1-36 months preceding the survey (approximately 2003-05 for NFHS-3, 2013-15 for NFHS-4, 2017-19
for NFHS-5). Age-specific fertility rates are expressed per 1,000 women. Rates are for the period 1-36 months preceding the
interview.
TFR = Total fertility rate, expressed per woman
CBR = Crude birth rate, expressed per 1,000 population
123
Table 4.2 Fertility by background characteristics
Total fertility rate for the 3 years preceding the survey, percentage of
women age 15-49 currently pregnant, and mean number of children ever
born to women age 40-49 by background characteristics, India, 2019-21
Mean number
Percentage of children ever
Total currently born to women
Background characteristic fertility rate pregnant age 40-49
Residence
Urban 1.63 3.0 2.57
Rural 2.14 4.1 3.20
Schooling
No schooling 2.82 2.7 3.57
<5 years complete 2.30 2.8 2.96
5-7 years complete 2.21 3.6 2.84
10-11 years complete 1.88 3.8 2.29
12 or more years complete 1.78 4.6 1.97
Religion
Hindu 1.94 3.6 2.92
Muslim 2.36 4.8 3.64
Christian 1.88 3.6 2.57
Sikh 1.61 2.5 2.54
Jain 1.60 2.0 1.96
Other 2.15 3.7 3.24
Caste/tribe
Other 1.78 3.3 2.66
Don't know 2.54 4.2 3.26
Wealth quintile
Lowest 2.63 4.7 3.81
Second 2.12 3.9 3.35
Middle 1.89 3.6 2.94
Fourth 1.74 3.6 2.70
Highest 1.57 3.1 2.37
Total 1.99 3.7 2.98

Note: Total fertility rates are for the period 1-36 months preceding the interview.
124
Table 4.3 Fertility by state/union territory
Age-specific and total fertility rates (TFRs), and crude birth rates for NFHS-5, and TFRs for NFHS-4 and NFHS-3, for the 3-year period
preceding the survey, according to state/union territory, India, 2019-21
NFHS-5
NFHS-5 age-specific fertility rates Total fertility rate 15-49
crude
State/union territory 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 NFHS-5 NFHS-4 NFHS-3 birth rate
India 0 43 165 122 50 14 3 1 1.99 2.18 2.68 17.1
North
Chandigarh 0 9 106 83 57 26 0 0 1.40 1.57 na 11.7
Delhi 0 19 113 116 59 16 1 0 1.62 1.78 2.13 14.8
Haryana 0 27 165 131 47 9 3 1 1.91 2.05 2.69 16.4
Himachal Pradesh 0 22 126 119 56 9 1 0 1.66 1.88 1.94 12.7
Jammu & Kashmir 0 9 60 106 79 23 3 2 1.41 na na 13.1
Ladakh 0 2 37 91 85 34 7 5 1.31 na na 12.6
Punjab 0 21 110 118 60 15 2 1 1.63 1.62 1.99 13.3
Rajasthan 0 31 177 129 48 14 3 1 2.01 2.40 3.21 18.7
Uttarakhand 0 19 143 137 56 12 2 0 1.85 2.07 2.55 16.7
Central
Chhattisgarh 0 24 151 127 43 15 3 0 1.82 2.23 2.62 16.4
Madhya Pradesh 0 37 188 119 39 11 3 1 1.99 2.32 3.12 17.2
Uttar Pradesh 0 22 178 162 75 25 6 1 2.35 2.74 3.82 20.5
East
Bihar 0 77 259 170 63 20 6 1 2.98 3.41 4.00 25.9
Jharkhand 0 64 191 119 53 18 5 2 2.26 2.55 3.31 20.2
Odisha 0 40 138 116 53 13 3 1 1.82 2.05 2.37 15.9
West Bengal 1 81 134 74 29 7 2 0 1.64 1.77 2.27 15.5
Northeast
Arunachal Pradesh 1 38 107 102 70 30 10 5 1.80 2.10 3.03 16.0
Assam 0 61 135 100 53 21 4 1 1.87 2.21 2.42 16.8
Manipur 0 43 110 121 99 54 6 1 2.17 2.61 2.83 17.4
Meghalaya 0 49 144 142 128 78 33 9 2.91 3.04 3.80 24.2
Mizoram 0 22 95 103 89 52 11 0 1.87 2.27 2.86 15.0
Nagaland 0 19 92 105 81 35 10 1 1.72 2.74 3.74 15.4
Sikkim 0 22 56 68 44 16 3 0 1.05 1.17 2.02 10.2
Tripura 3 91 118 78 41 10 2 0 1.70 1.68 2.22 14.5
West
and Daman & Diu 0 40 168 114 29 10 6 0 1.84 na na 16.5
Goa 0 14 55 80 64 39 6 0 1.30 1.66 1.79 10.3
Gujarat 0 34 151 125 47 12 2 1 1.86 2.03 2.42 15.0
Maharashtra 0 47 146 99 39 9 2 0 1.71 1.87 2.11 13.8
Continued…
125
Table 4.3 Fertility by state/union territory—Continued
Age-specific and total fertility rates (TFRs), and crude birth rates for NFHS-5, and TFRs for NFHS-4 and NFHS-3, for the 3-year period
preceding the survey, according to state/union territory, India, 2019-21
NFHS-5
NFHS-5 age-specific fertility rates Total fertility rate 15-49
crude
State/union territory 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 NFHS-5 NFHS-4 NFHS-3 birth rate
South
Andaman & Nicobar
Islands 0 22 87 84 43 15 0 4 1.28 1.44 na 10.6
Andhra Pradesh 0 67 165 73 24 6 0 1 1.68 1.83 na 13.8
Karnataka 0 40 149 100 36 9 1 0 1.67 1.80 2.07 14.2
Kerala 0 18 123 127 67 21 3 0 1.79 1.56 1.93 11.8
Lakshadweep 0 2 66 89 86 28 13 0 1.42 1.82 na 12.5
Puducherry 0 25 95 118 53 7 0 0 1.49 1.70 na 12.2
Tamil Nadu 0 34 141 122 44 9 1 0 1.76 1.70 1.80 13.7
Telangana 0 48 171 97 27 5 1 0 1.75 1.78 na 15.3
Note: Rates are for the period 1-36 months preceding the survey (approximately 2003-05 for NFHS-3, 2013-15 for NFHS-4, and 2017-19 for NFHS-5). Age-
specific fertility rates are expressed per 1,000 women.
na = Not available
126
Table 4.4 Age-specific fertility rates
Age-specific fertility rates for 5-year periods preceding the survey

by mother's age at the time of the birth, according to residence,
India, 2019-21
Number of years preceding survey

Age 0-4 5-9 10-14 15-19
URBAN
10-14 0 1 2 4
15-19 32 52 64 81
20-24 129 157 171 192
25-29 112 121 127 141
30-34 50 51 57 [76]
35-39 14 14 [21] na
40-44 2 [4] na na
45-49 [0] na na na
RURAL
10-14 0 1 4 6
15-19 54 81 98 119
20-24 188 215 221 239
25-29 128 137 151 171
30-34 50 59 73 [104]
35-39 15 22 [38] na
40-44 4 [8] na na
45-49 [1] na na na
TOTAL
10-14 0 1 3 5
15-19 48 72 86 106
20-24 169 195 204 223
25-29 122 132 143 160
30-34 50 56 68 [95]
35-39 15 19 [32] na
40-44 3 [7] na na
45-49 [1] na na na
Note: Age-specific fertility rates are expressed per 1,000 women. Estimates
in brackets are truncated. Rates exclude the month of interview. For the 0-
4 year period, rates for the 10-14 age group are based on retrospective data
from women age 15-19.
na = Not available
127
Table 4.5 Children ever born and living
Percent distribution of all women and currently married women by number of children ever born (CEB), and mean number of children ever born and living, according to age,
India, 2019-21
Mean
Number of children ever born Mean number
10 or Number of number of living
Age 0 1 2 3 4 5 6 7 8 9 more Total women of CEB children
ALL WOMEN
15-19 95.5 3.9 0.5 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 122,544 0.05 0.05
20-24 55.1 25.5 15.3 3.4 0.5 0.1 0.0 0.0 0.0 0.0 0.0 100.0 119,440 0.69 0.66
25-29 19.6 22.9 36.2 15.1 4.7 1.1 0.2 0.0 0.0 0.0 0.0 100.0 117,145 1.67 1.60
30-34 7.1 15.3 41.6 21.5 9.5 3.4 1.1 0.4 0.1 0.0 0.0 100.0 100,384 2.28 2.17
35-39 4.2 10.8 39.5 24.2 11.9 5.6 2.3 1.0 0.3 0.1 0.0 100.0 97,552 2.63 2.48
40-44 3.8 9.1 35.0 24.9 13.9 7.0 3.6 1.6 0.7 0.3 0.2 100.0 81,787 2.87 2.67
45-49 3.3 9.0 29.7 25.4 15.0 8.5 4.7 2.4 1.1 0.5 0.3 100.0 85,264 3.09 2.84
Total 30.8 14.2 27.0 15.1 7.1 3.2 1.5 0.7 0.3 0.1 0.1 100.0 724,115 1.75 1.65
128
CURRENTLY MARRIED WOMEN
15-19 65.0 31.0 3.6 0.4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 15,407 0.39 0.37
20-24 26.1 41.9 25.3 5.7 0.9 0.1 0.0 0.0 0.0 0.0 0.0 100.0 71,584 1.14 1.09
25-29 9.8 25.4 40.8 17.0 5.4 1.3 0.3 0.0 0.0 0.0 0.0 100.0 102,257 1.88 1.80
30-34 4.1 15.3 42.9 22.4 9.9 3.6 1.2 0.4 0.1 0.0 0.0 100.0 93,946 2.37 2.26
35-39 2.4 10.5 40.2 24.8 12.3 5.8 2.4 1.0 0.3 0.1 0.0 100.0 90,684 2.70 2.54
40-44 2.2 8.5 35.6 25.5 14.3 7.2 3.7 1.7 0.8 0.3 0.2 100.0 73,706 2.95 2.75
45-49 2.1 8.4 29.9 25.9 15.4 8.8 4.8 2.5 1.2 0.5 0.3 100.0 73,768 3.16 2.91
Total 9.2 18.6 35.6 19.8 9.3 4.2 1.9 0.9 0.3 0.1 0.1 100.0 521,352 2.30 2.16
Table 4.6 Birth order
Percent distribution of births to women during the 3 years preceding the survey by birth order, according to
background characteristics, India, 2019-21, and percent distribution of births to women, by birth order, NFHS-4
Birth order Number of

Background characteristic 1 2 3 4 or more Total births
Mother's current age

15-19 88.9 10.1 1.0 0.0 100.0 5,687
20-29 44.0 36.0 14.1 6.0 100.0 100,124
30-39 16.5 30.9 21.2 31.4 100.0 27,449
40-49 9.6 16.0 14.0 60.5 100.0 1,501
Residence
Urban 43.9 36.0 12.5 7.6 100.0 35,291
Rural 38.5 32.8 15.9 12.8 100.0 99,471
Mother's schooling
No schooling 20.8 25.5 22.1 31.6 100.0 26,631
<5 years complete 26.4 32.3 22.0 19.2 100.0 6,041
5-7 years complete 30.1 35.0 20.6 14.3 100.0 18,523
8-9 years complete 41.5 36.1 15.1 7.2 100.0 25,380
10-11 years complete 46.2 36.9 12.6 4.3 100.0 18,344
Religion
Hindu 41.0 34.3 14.5 10.2 100.0 106,920
Muslim 33.8 30.1 17.8 18.3 100.0 22,006
Christian 42.1 33.8 12.1 12.0 100.0 2,805
Sikh 45.6 37.4 11.8 5.2 100.0 1,689
Buddhist/Neo-Buddhist 43.3 35.9 13.7 7.1 100.0 584
Jain 51.8 39.5 8.3 0.5 100.0 204
Other 39.2 27.0 16.1 17.6 100.0 553
Caste/tribe
Scheduled caste 38.0 32.9 16.2 12.9 100.0 31,490
Scheduled tribe 38.6 31.2 16.1 14.0 100.0 13,554
Other 43.5 34.3 13.3 8.9 100.0 29,828
Don't know 30.0 34.2 19.7 16.0 100.0 1,257
Wealth quintile
Lowest 29.8 28.8 19.2 22.2 100.0 32,658
Second 36.7 32.8 17.3 13.2 100.0 29,257
Middle 41.7 35.0 14.8 8.6 100.0 26,411
Fourth 45.9 36.5 12.1 5.6 100.0 25,062
Highest 50.6 37.0 9.2 3.2 100.0 21,372
Total 39.9 33.6 15.0 11.5 100.0 134,761
NFHS-4 (2015-2016) 39.0 32.6 15.0 13.5 100.0 147,585
129
Table 4.7 Birth intervals
Percent distribution of non-first order births during the 5 years preceding the survey by interval since the preceding birth, and median number
of months since the preceding birth, according to background characteristics, India, 2019-21
Median
Number of number of
Months since preceding birth
non-first months since
Background characteristic 7-17 18-23 24-35 36-47 48-59 60 or more Total order births preceding birth

15-19 33.3 32.0 27.5 5.5 1.6 0.2 100.0 652 21.0
20-29 13.1 19.9 33.3 17.3 8.6 7.8 100.0 86,944 29.2
30-39 6.5 11.0 23.6 18.0 13.1 27.9 100.0 47,307 41.6
40-49 6.1 7.7 19.0 14.9 11.9 40.4 100.0 3,609 50.1
Residence
Urban 9.3 14.2 25.2 17.3 11.9 22.1 100.0 34,417 36.7
Rural 11.2 17.4 31.0 17.5 9.6 13.3 100.0 104,095 31.6
Mother's schooling
No schooling 11.8 17.6 32.1 17.1 9.1 12.3 100.0 38,936 30.9
<5 years complete 9.3 15.1 31.8 16.9 10.6 16.3 100.0 8,031 33.3
5-7 years complete 10.6 17.2 29.8 17.6 10.2 14.6 100.0 22,790 32.3
8-9 years complete 11.2 17.3 29.5 17.3 9.6 15.1 100.0 24,671 32.1
10-11 years complete 10.7 16.3 28.6 16.5 10.3 17.6 100.0 16,366 32.9
12 or more years
complete 9.4 14.7 25.7 18.6 11.9 19.6 100.0 27,719 36.1
Religion
Hindu 10.8 16.8 30.2 17.4 9.9 14.9 100.0 108,149 32.3
Muslim 10.9 16.0 27.3 17.8 10.9 17.1 100.0 24,705 33.8
Christian 8.5 16.7 29.3 17.5 9.6 18.5 100.0 2,805 33.7
Sikh 10.6 13.1 24.8 17.9 11.3 22.3 100.0 1,545 36.9
Buddhist/Neo-Buddhist 7.1 12.0 26.6 20.2 15.5 18.6 100.0 583 37.6
Jain 10.5 10.0 18.8 9.8 7.8 43.0 100.0 141 48.2
Other 8.4 13.9 29.7 20.3 12.6 15.0 100.0 584 35.2
Caste/tribe
Scheduled caste 11.7 18.0 31.0 17.2 9.1 13.1 100.0 33,236 31.0
Scheduled tribe 9.1 17.0 33.5 17.8 9.9 12.8 100.0 14,358 31.9
Other 9.4 13.7 25.3 17.9 11.8 21.9 100.0 28,899 36.9
Don't know 11.2 18.9 30.7 14.5 12.1 12.5 100.0 1,451 30.2
Wealth quintile
Lowest 11.4 18.0 33.3 17.3 9.1 10.9 100.0 39,774 30.5
Second 11.4 18.3 31.1 16.8 9.2 13.3 100.0 31,529 30.9
Middle 11.3 17.1 29.6 16.9 9.7 15.2 100.0 26,299 32.0
Fourth 10.0 15.2 26.8 18.2 11.4 18.4 100.0 23,009 34.9
Highest 7.9 11.6 22.0 18.8 13.2 26.4 100.0 17,901 41.3
Birth order
2-3 10.6 16.5 28.8 17.5 10.3 16.3 100.0 111,385 33.1
4-6 11.1 17.0 32.4 17.3 9.7 12.5 100.0 24,701 31.2
7 or more 13.1 17.1 34.1 16.6 9.0 10.2 100.0 2,426 30.0
Continued…
130
Table 4.7 Birth intervals—Continued
Percent distribution of non-first order births during the 5 years preceding the survey by interval since the preceding birth, and median number
of months since the preceding birth, according to background characteristics, India, 2019-21
Median
Number of number of
Months since preceding birth
non-first months since
Background characteristic 7-17 18-23 24-35 36-47 48-59 60 or more Total order births preceding birth
Sex of preceding birth

Male 10.7 16.5 29.3 17.4 10.1 16.0 100.0 63,871 32.8
Female 10.7 16.7 29.8 17.5 10.2 15.0 100.0 74,641 32.6
Survival of preceding birth

Living 9.4 16.4 29.8 17.9 10.5 16.0 100.0 130,794 33.3
Dead 32.4 19.3 25.4 10.3 5.0 7.6 100.0 7,718 23.5
Total 10.7 16.6 29.6 17.5 10.2 15.5 100.0 138,512 32.7
Note: The interval for multiple births is the number of months since the preceding pregnancy that ended in a live birth.
131
Table 4.8 Age at first birth
Percentage of women who gave birth by specific exact ages and who have never given birth and median age at first birth
by current age, India, 2019-21
Percentage who
Percentage who gave birth by exact age
have never Number of Median age
Current age 15 18 20 22 25 given birth women at first birth
15-19 0.1 na na na na 95.5 122,544 a

20-24 0.7 8.3 23.4 na na 55.1 119,440 a
25-29 1.6 12.9 31.3 51.6 71.7 19.6 117,145 21.8
30-34 2.7 17.0 36.3 56.1 76.6 7.1 100,384 21.4
35-39 3.1 19.8 40.6 59.9 78.9 4.2 97,552 20.9
40-44 3.5 20.7 41.3 61.4 80.4 3.8 81,787 20.8
45-49 3.3 19.8 40.2 60.0 79.6 3.3 85,264 20.9
15-49 2.0 13.5 29.6 45.2 59.4 30.8 724,115 a
20-49 2.4 15.8 34.7 na na 17.6 601,571 a
25-49 2.8 17.7 37.5 57.4 77.0 8.3 482,132 21.2

na = Not applicable
a = Not calculated because less than 50 percent of women had a birth before reaching the beginning of the age group
132
Table 4.9 Median age at first birth
Median age at first birth among women age 25-49 years by current age according to background characteristics,
India, 2019-21
Current age
Background characteristic 25-29 30-34 35-39 40-44 45-49 25-49
Residence
Urban 23.4 22.6 22.0 21.7 21.7 22.3
Rural 21.3 20.8 20.5 20.4 20.6 20.8
Schooling
No schooling 19.9 19.8 19.7 19.8 20.2 19.9
<5 years complete 19.7 19.7 19.6 19.9 20.0 19.8
5-7 years complete 20.2 20.1 20.2 20.2 20.5 20.2
8-9 years complete 21.0 21.0 20.9 21.0 21.3 21.0
10-11 years complete 21.4 21.6 21.7 21.9 22.3 21.7
12 or more years complete a 24.9 24.8 24.5 24.7 24.9
Religion
Hindu 21.8 21.3 20.9 20.8 20.9 21.2
Muslim 21.3 20.9 20.5 20.5 20.6 20.8
Christian 24.4 23.5 22.7 22.8 23.0 23.2
Sikh 24.8 23.2 22.5 21.9 22.2 22.8
Buddhist/Neo-Buddhist 22.1 22.9 21.8 21.5 20.9 21.9
Jain a 25.6 24.0 24.3 23.4 24.9
Other 21.4 21.4 21.6 22.4 22.1 21.7
Caste/tribe
Scheduled caste 21.6 21.0 20.4 20.3 20.3 20.8
Scheduled tribe 21.4 21.0 20.6 20.6 20.8 20.9
Other backward class 21.8 21.3 20.9 20.8 20.9 21.2
Other 22.5 22.0 21.6 21.4 21.4 21.8
Don't know 20.3 20.6 20.0 19.6 20.3 20.2
Wealth quintile
Lowest 20.2 20.0 20.2 20.5 20.9 20.3
Second 20.8 20.4 20.1 20.2 20.5 20.4
Middle 21.5 20.9 20.5 20.3 20.5 20.8
Fourth 22.5 22.0 21.1 20.8 20.8 21.5
Highest 25.0 23.8 22.9 22.3 21.9 23.2
Total 21.8 21.4 20.9 20.8 20.9 21.2
a = Not calculated because less than 50 percent of women had a birth before reaching the beginning of the age group
133
Table 4.10 Teenage pregnancy and motherhood
Percentage of women age 15-19 who have had a live birth or who are pregnant
with their first child, and percentage who have begun childbearing, by background
Percentage
Percentage of women of women age
age 15-19 who: 15-19 who
Background Have had a Are pregnant have begun Number of
characteristic live birth with first child childbearing women
Age
15-17 0.9 0.7 1.5 72,948
15 0.1 0.1 0.2 24,699
16 0.7 0.4 1.1 24,589
17 1.9 1.5 3.4 23,660
18 5.9 3.8 9.7 26,675
19 14.2 5.9 20.0 22,921
Residence
Urban 2.4 1.4 3.8 34,543
Rural 5.3 2.7 7.9 88,000
Schooling
No schooling 12.2 5.5 17.6 5,383
<5 years complete 10.9 4.5 15.4 2,258
5-7 years complete 7.2 3.1 10.2 11,798
8-9 years complete 4.9 2.4 7.3 38,966
10-11 years complete 3.2 1.7 4.9 38,324
12 or more years
complete 2.3 1.9 4.2 25,814
Marital status
Never married 0.0 0.0 0.0 106,960
Currently married 35.0 18.3 53.4 15,407
Widowed/divorced/
separated/deserted 26.9 5.3 32.1 177
Religion
Hindu 4.3 2.3 6.5 97,827
Muslim 5.7 2.7 8.4 19,410
Christian 4.1 2.7 6.8 2,475
Sikh 1.7 1.2 2.8 1,559
Buddhist/Neo-Buddhist 2.8 0.9 3.7 601
Jain 1.1 0.0 1.1 214
Other 9.2 1.7 10.9 459
Caste/tribe
Scheduled caste 4.9 2.5 7.3 28,204
Scheduled tribe 6.1 2.7 8.7 11,691
Other 4.9 2.2 7.0 28,129
Don't know 12.3 4.3 16.6 766
Continued…
134
Table 4.10 Teenage pregnancy and motherhood—Continued
Percentage of women age 15-19 who have had a live birth or who are pregnant
with their first child, and percentage who have begun childbearing, by background
Percentage
Percentage of women of women age
age 15-19 who: 15-19 who
Background Have had a Are pregnant have begun Number of
characteristic live birth with first child childbearing women
Wealth quintile
Lowest 6.8 3.2 10.0 27,513
Second 5.5 2.6 8.0 27,957
Middle 4.5 2.4 6.9 25,635
Fourth 3.0 2.0 5.0 22,789
Highest 1.3 0.9 2.2 18,650
Total 4.5 2.3 6.8 122,544
135
Table 4.11 Teenage pregnancy and motherhood by state/union territory
Percentage of women age 15-19 who have had a live birth or who are pregnant with their first
child, and percentage who have begun childbearing, by state/union territory, India, 2019-21
Percentage of
Percentage of women age 15-19 who: women age 15-19
Have had Are pregnant who have begun
State/union territory a live birth with first child childbearing
India 4.5 2.3 6.8
North
Delhi 1.8 1.5 3.3
Haryana 1.8 2.1 3.9
Ladakh 0.0 0.0 0.0
Punjab 1.6 1.6 3.1
Rajasthan 2.3 1.3 3.7
Central
East
Bihar 6.8 4.2 11.0
Jharkhand 7.1 2.7 9.8
Odisha 4.5 3.1 7.5
West Bengal 12.7 3.7 16.4
Northeast
Assam 7.9 3.8 11.7
Manipur 6.2 2.4 8.6
Meghalaya 5.3 1.9 7.2
Mizoram 2.8 1.3 4.1
Nagaland 2.2 1.6 3.8
Sikkim 1.8 1.3 3.1
Tripura 16.2 5.7 21.9
West
Daman & Diu 2.3 2.0 4.3
Goa 1.8 1.0 2.7
Gujarat 3.2 2.1 5.2
South
Karnataka 3.6 1.8 5.4
Kerala 1.2 1.2 2.4
Lakshadweep 0.0 1.1 1.1
Tamil Nadu 4.2 2.1 6.3
Telangana 3.3 2.4 5.8
136
Table 4.12 Fertility preferences by number of living children
Percent distribution of currently married women and men age 15-49 by desire for children, according to number of living
children, India, 2019-21
Number of living children1

Desire for children 0 1 2 3 4 5 6 or more Total
WOMEN1
Want another soon2 66.9 21.5 4.2 2.2 1.6 1.4 1.2 11.6
Want another later3 13.1 35.5 4.2 1.9 1.3 1.0 0.6 10.3
Want another, undecided when 2.5 2.0 0.4 0.2 0.2 0.2 0.3 0.8
Undecided 3.7 6.5 2.4 1.7 1.6 1.7 1.9 3.1
Want no more 4.7 22.7 36.7 35.0 39.2 44.4 55.0 32.0
Sterilized4 0.7 8.2 49.1 55.3 51.4 45.6 34.9 38.2
Declared infecund 7.6 2.5 1.3 1.4 1.4 1.8 2.1 2.1
Missing 0.9 1.1 1.6 2.5 3.2 3.9 4.0 1.9
Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Number of respondents 38,447 106,078 199,974 104,063 44,402 17,552 10,837 521,352
MEN5
Want another soon2 37.8 23.3 5.0 3.3 2.7 2.4 2.5 13.1
Want another later3 13.0 32.1 5.0 3.0 2.0 1.3 1.7 11.3
Want another, undecided when 2.8 3.3 0.4 0.3 0.4 0.2 0.6 1.4
Undecided 3.9 6.7 3.2 2.3 2.2 2.7 3.6 3.8
Want no more 36.3 31.6 73.2 78.0 81.7 82.8 84.8 60.8
Sterilized4 6.2 2.9 13.2 13.1 11.0 10.6 6.9 9.6
Declared infecund 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Missing 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Number of respondents 7,952 11,961 20,109 9,220 3,848 1,452 933 55,475
1
Includes current pregnancy of woman/wife
2
Want next birth within 2 years
3
Want to delay next birth for 2 or more years
4
For women, includes both female and male sterilization.
For men: Includes male sterilization and men who mention in response to the question about desire for children that their wife has been
is sterilized
5
The number of living children includes one additional child if the respondent's wife is pregnant (or if any wife is pregnant for men with
more than one current wife).
137
Table 4.13 Menstrual protection
Percent distribution of women age 15-24 who have ever menstruated by type of protection used during their menstrual period, according
Type of menstrual protection1 Percentage

Locally using a
prepared Sanitary Menstrual Number of hygienic
Background characteristic Cloth napkins napkins Tampons cup Other Nothing women method2
Age
15-19 49.3 15.2 64.5 1.7 0.3 0.2 0.2 121,803 78.0
20-24 50.0 14.7 64.2 1.6 0.3 0.2 0.2 119,309 77.2
Residence
Urban 31.5 14.1 77.5 1.8 0.5 0.2 0.1 70,941 89.6
Rural 57.2 15.3 58.9 1.6 0.2 0.2 0.3 170,171 72.6
Schooling
No schooling 80.0 11.0 32.6 1.1 0.1 0.2 1.2 15,833 43.5
<5 years complete 73.7 11.6 40.3 1.1 0.3 0.2 0.6 5,501 51.3
5-7 years complete 69.0 13.5 46.8 1.3 0.2 0.2 0.4 22,820 59.4
8-9 years complete 57.8 14.4 58.7 1.7 0.3 0.2 0.2 59,189 71.9
10-11 years complete 43.3 16.3 70.7 1.7 0.4 0.2 0.1 55,504 84.7
12 or more years
complete 35.2 15.9 76.8 1.9 0.4 0.2 0.1 82,265 90.3
Religion
Hindu 49.2 15.3 64.2 1.6 0.3 0.2 0.2 193,622 77.6
Muslim 56.2 13.4 62.0 2.0 0.3 0.2 0.3 36,757 74.7
Christian 36.1 11.0 77.0 1.1 0.5 0.8 0.1 4,955 85.7
Sikh 28.4 25.5 72.8 0.9 0.5 0.0 0.0 3,174 93.6
Jain 21.0 6.1 88.7 0.8 0.0 0.0 0.0 422 94.7
Other 59.5 15.0 57.7 1.0 0.1 0.2 0.3 910 71.5
Caste/tribe
Scheduled caste 51.0 15.1 63.5 1.5 0.3 0.2 0.3 55,274 76.7
Scheduled tribe 60.8 13.9 52.9 1.9 0.3 0.2 0.3 23,191 65.6
Other 40.7 13.7 71.6 1.6 0.3 0.2 0.1 56,452 83.7
Don't know 55.4 6.9 55.2 1.2 0.4 0.6 1.2 1,532 63.3
Wealth quintile
Lowest 74.4 12.0 41.7 1.4 0.2 0.2 0.5 48,401 53.6
Second 61.9 15.3 56.8 1.7 0.2 0.2 0.3 52,523 71.1
Middle 47.6 16.3 68.0 1.6 0.2 0.2 0.1 50,656 82.1
Fourth 36.3 16.3 75.6 1.9 0.3 0.2 0.1 48,328 89.0
Highest 22.8 14.8 83.1 1.7 0.5 0.2 0.0 41,204 95.1
Total 49.6 15.0 64.4 1.7 0.3 0.2 0.2 241,112 77.6
Note: Table is based on women age 15-24 who have ever menstruated.
1
Respondents may report multiple methods so the sum may exceed 100 percent
2
Locally prepared napkins, sanitary napkins, tampons, and menstrual cups are considered to be hygienic methods of protection
138
Table 4.14 Menstrual protection by state/union territory
Percentage of women age 15-24 who have ever menstruated by type of protection used during their menstrual period, according to
state/union territory, India, 2019-21

Locally using a
State/union territory Cloth napkins napkins Tampons cup Other Nothing women method2
India 49.6 15.0 64.4 1.7 0.3 0.2 0.2 241,112 77.6
North
Chandigarh 10.7 23.7 72.8 0.0 0.5 0.0 0.0 176 94.5
Delhi 15.9 6.7 94.7 0.1 0.1 0.0 0.1 3,540 97.1
Haryana 22.1 15.2 80.8 0.8 0.3 0.1 0.1 4,484 93.5
Himachal Pradesh 31.1 6.8 86.4 0.1 0.2 0.1 0.0 1,037 92.0
Jammu & Kashmir 58.4 23.1 50.5 3.3 1.3 0.0 0.3 2,116 74.5
Ladakh 58.1 19.2 56.4 6.1 1.2 0.0 0.0 35 79.1
Punjab 27.4 26.8 71.2 0.6 0.3 0.0 0.0 4,352 93.3
Rajasthan 43.6 10.9 76.6 0.7 0.0 0.0 0.3 16,617 84.3
Uttarakhand 38.9 6.6 85.9 0.1 0.1 0.0 0.0 2,078 91.5
Central
Chhattisgarh 68.6 10.8 58.5 1.7 0.1 0.1 0.0 6,053 69.0
Madhya Pradesh 64.8 11.6 49.8 1.2 0.6 0.3 0.1 14,819 60.9
Uttar Pradesh 69.4 16.9 56.5 1.5 0.3 0.1 0.0 47,476 72.9
East
Bihar 67.5 17.3 42.2 1.5 0.1 0.5 0.8 25,647 59.2
Jharkhand 56.5 21.9 52.1 2.8 0.6 0.2 0.1 6,800 75.1
Odisha 42.8 16.4 68.4 1.1 0.0 0.0 0.0 7,338 81.7
West Bengal 42.8 5.0 77.4 2.1 0.1 0.0 0.2 19,247 83.4
Northeast
Arunachal Pradesh 31.5 4.6 88.5 0.4 0.3 0.9 0.1 184 92.0
Assam 69.1 14.3 53.5 2.2 0.9 0.8 0.4 6,256 67.0
Manipur 63.9 3.9 81.0 0.1 0.7 0.0 0.9 362 83.4
Meghalaya 63.2 7.5 60.6 1.3 0.0 2.1 0.0 628 65.3
Mizoram 11.1 2.6 88.5 0.3 0.0 3.0 0.9 155 91.0
Nagaland 56.7 3.5 77.7 0.0 0.2 0.7 0.0 231 80.6
Sikkim 24.1 5.8 81.4 0.9 0.0 0.0 0.0 94 86.3
Tripura 56.1 13.3 52.7 3.8 1.0 0.2 2.1 620 69.1
West
and Daman & Diu 22.0 26.0 64.3 22.2 0.0 0.6 0.0 88 94.3
Goa 33.6 4.1 92.8 0.0 0.2 0.0 0.0 294 96.8
Gujarat 51.5 27.6 44.1 5.1 0.9 0.9 0.5 10,504 66.9
Maharashtra 26.1 12.6 76.1 1.7 0.1 0.6 0.2 19,513 85.3
Continued…
139
Table 4.14 Menstrual protection by state/union territory—Continued
Percentage of women age 15-24 who have ever menstruated by type of protection used during their menstrual period, according to

Locally using a
State/union territory Cloth napkins napkins Tampons cup Other Nothing women method2
South
Andaman & Nicobar
Islands 8.2 0.6 98.2 0.0 0.0 0.0 0.0 50 98.8
Andhra Pradesh 36.2 16.9 69.2 2.2 0.0 0.3 0.1 7,565 85.2
Karnataka 44.2 21.9 69.1 2.9 0.3 0.0 0.2 10,837 84.6
Kerala 40.2 2.8 90.6 0.1 0.2 0.0 0.0 4,769 93.3
Lakshadweep 21.8 5.5 92.7 0.0 0.0 0.0 0.0 12 98.3
Puducherry 13.2 4.2 98.1 0.0 0.0 0.0 0.0 184 99.1
Tamil Nadu 12.7 17.3 87.4 0.1 0.2 0.0 0.0 11,761 98.4
Telangana 17.0 13.4 81.2 3.5 1.1 0.1 0.0 5,188 93.4
1
Respondents may report multiple methods so the sum may exceed 100 percent
2
Locally prepared napkins, sanitary napkins, tampons, and menstrual cups are considered to be hygienic methods of protection
140
Table 4.15 Bathing practices during menstrual period
Percentage of women age 15-49 who had a menstrual period in the 6 months
preceding the survey who take a bath during their menstrual period, and among
women who take a bath during their menstrual period, percentage who take a bath in
the same bathroom used by other household members, according to background
Take a bath in the same

Take a bath during their bathroom used by other
menstrual period household members
Background characteristic Urban Rural Total Urban Rural Total
Age
15-19 95.8 96.1 96.0 95.6 91.1 92.4
20-24 96.4 96.9 96.8 95.5 90.8 92.3
Schooling
No schooling 90.6 94.6 94.0 93.4 90.3 90.7
<5 years complete 95.5 95.6 95.6 93.0 84.7 86.5
5-7 years complete 93.6 95.6 95.2 95.0 89.4 90.5
8-9 years complete 96.1 96.4 96.4 95.1 89.4 90.7
10-11 years complete 96.4 96.6 96.6 95.6 91.4 92.7
12 or more years
complete 96.7 97.1 96.9 96.0 93.3 94.4
Religion
Hindu 98.0 97.9 97.9 95.6 91.2 92.4
Muslim 88.7 87.8 88.2 95.4 88.6 91.3
Christian 97.6 96.0 96.5 93.7 90.8 91.9
Sikh 97.4 96.5 96.8 98.4 98.8 98.7
Buddhist/Neo-Buddhist 97.6 97.1 97.3 99.5 96.4 97.6
Jain 99.3 97.5 98.9 98.2 94.9 97.6
Other 97.5 94.1 94.6 96.8 90.2 91.3
Caste/tribe
Scheduled caste 97.2 97.4 97.3 94.7 90.6 91.7
Scheduled tribe 97.3 97.0 97.0 95.5 85.4 86.8
Other backward class 96.1 96.6 96.5 95.0 93.2 93.7
Other 95.3 94.6 94.9 96.9 90.3 93.0
Don't know 96.9 96.4 96.6 96.7 75.2 82.8
Wealth quintile
Lowest 93.6 96.7 96.5 85.8 85.3 85.3
Second 96.4 96.3 96.3 91.3 90.6 90.7
Middle 95.6 96.6 96.4 95.7 93.6 94.1
Fourth 96.3 96.2 96.2 95.9 95.1 95.4
Highest 96.3 96.3 96.3 96.8 96.0 96.5
Total 96.1 96.5 96.3 95.6 91.0 92.4
141
Table 4.16 Bathing practices during menstrual period by state/union territory
Percentage of women age 15-49 who had a menstrual period in the 6 months preceding the survey
who take a bath during their menstrual period, and among women who take a bath during their
menstrual period, percentage who take a bath in the same bathroom used by other household
members, according to state/union territory, India, 2019-21

India 96.1 96.5 96.3 95.6 91.0 92.4
North
Chandigarh 95.9 100.0 96.0 98.3 100.0 98.3
Delhi 95.9 100.0 96.0 99.1 100.0 99.1
Haryana 95.5 94.9 95.1 99.4 98.9 99.0
Jammu & Kashmir 48.6 40.9 42.7 92.4 91.0 91.4
Ladakh 37.8 36.3 36.6 96.5 95.9 96.0
Punjab 97.4 96.0 96.5 98.9 99.5 99.2
Rajasthan 97.9 98.7 98.5 97.1 94.3 94.9
Uttarakhand 93.0 93.3 93.2 98.2 91.3 93.5
Central
Chhattisgarh 98.5 98.6 98.6 95.6 92.0 92.8
Madhya Pradesh 97.5 97.5 97.5 96.4 91.8 93.0
Uttar Pradesh 89.1 93.8 92.7 97.9 96.9 97.1
East
Bihar 95.8 97.7 97.4 97.4 96.0 96.2
Jharkhand 97.3 95.6 96.0 97.5 95.2 95.8
Odisha 97.9 97.7 97.7 86.8 69.3 72.4
West Bengal 97.8 98.9 98.6 90.1 68.2 74.8
Northeast
Assam 98.5 97.9 98.0 97.2 87.1 88.4
Manipur 88.1 82.9 84.7 95.4 87.8 90.6
Meghalaya 83.9 84.0 84.0 91.7 88.1 88.9
Mizoram 99.4 99.1 99.3 97.1 96.0 96.6
Nagaland 95.0 94.6 94.7 99.0 99.0 99.0
Sikkim 90.4 89.9 90.1 99.8 98.1 98.8
Tripura 99.4 99.1 99.2 79.3 73.3 74.9
Continued…
142
Table 4.16 Bathing practices during menstrual period by state/union territory—Continued
Percentage of women age 15-49 who had a menstrual period in the 6 months preceding the survey
who take a bath during their menstrual period, and among women who take a bath during their
menstrual period, percentage who take a bath in the same bathroom used by other household
members, according to state/union territory, India, 2019-21

West
Daman & Diu 98.5 99.5 99.0 96.9 92.3 94.3
Goa 99.8 98.5 99.2 94.2 98.3 95.9
Gujarat 98.9 98.9 98.9 96.2 83.1 88.2
Maharashtra 98.2 98.4 98.3 98.8 96.8 97.8
South
Andhra Pradesh 99.0 98.3 98.5 93.2 91.5 92.1
Karnataka 98.3 98.4 98.4 96.6 95.0 95.6
Kerala 99.7 99.2 99.5 95.2 95.6 95.4
Lakshadweep 99.2 98.1 98.9 97.9 92.4 96.5
Puducherry 99.6 100.0 99.7 89.2 84.2 87.7
Tamil Nadu 98.8 99.5 99.2 86.2 84.4 85.3
Telangana 98.1 98.9 98.6 96.1 95.9 96.0
143
Table 4.17 Desire to limit childbearing
Percentage of currently married women and men age 15-49 who want no more children by number of living children, according to
background characteristics, India, 2019-21, and by number of living children, NFHS-4
Women: Number of living children1 Men: Number of living children1

Background 4 or 4 or
characteristic 0 1 2 3 more Total 0 1 2 3 more Total
Age
15-24 2.7 9.8 64.5 75.1 77.2 25.1 10.4 7.1 55.3 63.7 * 25.1
25-34 3.4 25.3 83.4 86.9 86.2 65.8 26.7 19.3 75.5 80.3 80.9 65.8
35 and over 19.0 73.1 93.2 93.5 91.9 88.5 61.6 60.8 91.4 93.8 94.0 88.5
Residence
Urban 5.0 36.7 88.3 91.6 91.2 70.2 36.0 40.4 85.5 90.7 90.5 70.2
Rural 5.6 27.4 84.5 89.8 90.2 70.1 40.8 29.2 85.4 90.0 92.3 70.1
Schooling
No schooling 11.4 41.9 84.3 90.4 90.5 81.1 48.9 47.1 84.1 88.9 91.4 81.1
<5 years complete 10.0 43.1 87.6 91.7 90.1 79.5 47.8 36.4 84.6 93.1 88.7 79.5
5-7 years complete 6.4 34.8 87.3 90.4 90.8 75.9 45.0 28.7 86.4 89.5 92.4 75.9
8-9 years complete 4.5 27.9 85.8 90.2 90.2 67.6 33.8 31.0 86.9 91.7 93.8 67.6
10-11 years complete 3.8 29.0 86.5 90.2 89.1 65.7 42.4 34.6 85.3 90.7 92.9 65.7
12 or more years
complete 3.4 27.1 85.1 88.3 89.8 55.2 32.9 32.9 84.9 87.8 91.6 55.2
Religion
Hindu 5.6 32.3 87.4 91.4 91.3 71.3 40.1 36.1 87.3 92.3 94.1 71.3
Muslim 4.4 18.8 73.0 84.3 87.8 63.6 38.3 20.4 74.5 82.2 86.3 63.6
Christian 3.9 29.4 83.9 86.0 77.7 65.5 23.8 23.8 78.3 82.3 74.6 65.5
Sikh 4.3 43.0 86.3 91.8 93.3 71.6 34.8 51.2 91.0 95.2 96.7 71.6
Buddhist/Neo-Buddhist 9.2 34.6 88.3 95.4 96.0 70.3 26.0 29.4 88.7 83.5 95.5 70.3
Jain 3.7 49.1 89.8 90.4 * 70.4 * * (94.5) * * 70.4
Other 9.5 28.3 79.5 84.7 87.2 64.9 24.8 54.6 79.3 79.5 71.2 64.9
Caste/tribe
Scheduled caste 5.2 27.1 85.1 91.3 91.3 70.4 35.7 34.3 86.7 92.2 94.3 70.4
Scheduled tribe 5.3 23.7 81.9 88.8 89.5 67.0 41.2 26.1 79.6 85.9 87.3 67.0
Other backward class 5.3 28.1 85.8 90.2 90.2 70.6 40.8 32.5 85.5 91.4 93.1 70.6
Other 5.7 39.1 87.5 90.2 90.2 70.3 38.4 36.6 86.4 87.5 89.0 70.3
Don't know 6.4 24.8 82.2 87.6 89.7 68.9 (40.2) (43.1) 87.5 (94.5) (89.8) 68.9
Wealth quintile
Lowest 6.5 23.7 78.9 87.7 89.7 70.2 33.9 28.4 80.6 88.8 90.8 70.2
Second 5.5 27.7 83.7 90.0 89.9 70.6 39.6 32.1 83.7 89.3 93.4 70.6
Middle 5.7 29.6 86.7 91.3 90.7 71.1 41.9 32.0 87.0 91.0 90.0 71.1
Fourth 5.2 31.5 87.5 91.3 92.1 69.9 44.4 33.6 87.5 90.0 93.1 69.9
Highest 4.3 37.3 88.9 91.6 91.4 68.9 32.9 39.0 86.6 93.4 94.4 68.9
Continued…
144
Table 4.17 Desire to limit childbearing—Continued
background characteristics, India, 2019-21, and by number of living children, NFHS-4

Background 4 or 4 or
characteristic 0 1 2 3 more Total 0 1 2 3 more Total
Number of living sons2

0 5.4 21.8 65.3 67.3 66.3 32.8 39.1 25.1 65.8 66.5 69.6 32.8
1 na 39.5 89.0 91.2 91.0 77.5 na 41.8 88.6 91.7 90.8 77.5
2 na na 90.8 93.6 92.8 92.2 na na 90.4 93.1 94.7 92.2
3 na na na 92.7 91.3 92.2 na na na 94.7 94.3 92.2
4 or more na na na na 90.9 91.1 na na na na 92.4 91.1
Total 5.4 30.9 85.8 90.3 90.4 70.1 39.1 33.7 85.5 90.1 91.9 70.1
NFHS-4 (2015-2016) 5.6 29.4 83.6 88.0 88.3 68.2 24.9 31.6 85.4 91.1 92.2 69.8
Note: Women who have been sterilized or whose husband has been sterilized are considered to want no more children. Men who have been sterilized or
who mention in response to the question about desire for children that their wife has been sterilized are considered to want no more children. Figures in
parentheses are based on 25-49 unweighted cases. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been suppressed.
na = Not applicable
1
2
Excludes pregnant women and men with pregnant wives
145
Table 4.18 Desire to limit childbearing by state/union territory

4 or 4 or
State/union territory 0 1 2 3 more Total 0 1 2 3 more Total
India 5.4 30.9 85.8 90.3 90.4 70.1 39.1 33.7 85.5 90.1 91.9 70.1
North
Chandigarh (3.1) 36.8 92.4 99.0 95.8 78.2 * * * * * 78.2
Delhi 4.3 35.2 90.8 93.3 94.5 74.0 8.1 29.9 92.0 92.5 96.5 74.0
Haryana 4.4 37.1 89.6 92.2 90.4 74.9 14.1 36.3 91.0 91.8 90.7 74.9
Jammu & Kashmir 4.9 10.0 59.7 78.1 79.9 52.4 39.3 5.5 51.7 63.9 69.3 52.4
Ladakh 1.5 18.4 54.5 71.2 66.9 48.2 * (8.0) 46.4 (69.4) * 48.2
Punjab 3.7 40.2 86.9 91.3 91.9 71.1 43.8 41.5 91.2 97.6 94.4 71.1
Rajasthan 2.9 19.3 84.7 92.2 92.9 69.9 15.9 19.6 82.1 91.5 94.2 69.9
Uttarakhand 4.9 26.9 86.6 91.3 91.5 72.7 29.3 29.2 84.7 94.4 99.5 72.7
Central
Chhattisgarh 5.0 21.4 85.2 93.2 94.3 70.8 34.0 24.4 84.8 92.5 94.1 70.8
Madhya Pradesh 4.2 27.1 88.0 92.3 93.1 74.1 19.5 32.9 90.6 93.3 93.7 74.1
Uttar Pradesh 5.7 21.1 76.7 87.7 91.0 68.3 29.2 22.5 77.8 90.7 94.5 68.3
East
Bihar 4.2 14.4 69.3 84.5 85.9 65.8 9.7 13.1 77.1 89.7 93.9 65.8
Jharkhand 5.0 21.3 79.3 88.6 91.1 68.3 37.4 27.7 78.2 87.1 92.3 68.3
Odisha 7.1 41.0 89.5 93.4 94.6 71.9 9.3 39.3 88.5 88.6 95.1 71.9
West Bengal 7.0 43.6 90.5 92.6 90.7 69.3 21.3 44.6 88.0 88.6 83.1 69.3
Northeast
Assam 6.6 30.9 86.7 91.1 93.1 66.0 39.4 28.1 83.6 88.7 92.0 66.0
Manipur 2.0 12.8 60.1 73.9 85.1 51.8 29.9 17.9 50.7 71.0 83.7 51.8
Meghalaya 6.8 16.1 33.1 43.8 48.2 35.0 20.1 21.4 38.0 37.8 44.9 35.0
Mizoram 1.3 11.3 29.1 52.9 58.1 35.4 (5.1) 10.8 23.4 45.7 64.4 35.4
Nagaland 0.5 16.9 57.4 71.9 81.7 54.9 50.7 11.8 50.8 61.7 89.6 54.9
Sikkim 9.7 47.7 90.4 90.3 97.8 66.4 49.9 57.1 69.0 * * 66.4
Tripura 6.2 49.2 91.7 93.2 94.2 70.7 50.8 46.4 90.7 87.7 (81.4) 70.7
West
and Daman & Diu 6.1 21.7 85.4 95.6 97.1 69.7 * 29.0 91.8 (92.9) (100.0) 69.7
Goa 4.0 34.4 84.9 90.2 (96.6) 60.1 * (26.2) 83.3 * * 60.1
Gujarat 7.5 37.0 85.7 89.8 89.9 70.2 34.8 36.0 86.0 91.3 92.2 70.2
Maharashtra 5.8 35.6 89.6 93.3 93.0 73.1 55.9 36.6 90.1 94.4 96.3 73.1
Continued…
146
Table 4.18 Desire to limit childbearing by state/union territory—Continued

4 or 4 or
State/union territory 0 1 2 3 more Total 0 1 2 3 more Total
South
Andaman & Nicobar
Islands 3.4 39.7 94.2 93.8 90.7 71.0 * 50.6 92.6 (92.8) * 71.0
Andhra Pradesh 4.7 36.7 92.3 93.9 96.0 76.7 41.5 39.8 88.8 92.8 (97.4) 76.7
Karnataka 7.5 33.7 85.8 91.1 90.4 68.5 34.4 35.5 81.3 86.8 83.8 68.5
Kerala 2.0 24.6 82.9 84.8 85.3 64.4 46.5 23.1 83.5 90.0 * 64.4
Lakshadweep 1.0 9.9 53.7 74.4 75.6 39.6 * * * * * 39.6
Puducherry 5.7 38.1 93.1 95.9 99.4 77.1 26.8 (18.3) 88.6 * * 77.1
Tamil Nadu 4.2 31.1 93.5 97.0 94.8 73.9 24.9 27.0 92.2 93.3 97.6 73.9
Telangana 5.7 28.9 90.1 93.6 96.1 75.3 65.6 37.1 89.4 96.9 92.4 75.3
Note: Women who have been sterilized or whose husband has been sterilized are considered to want no more children. Men who have been sterilized or
who mention in response to the question about desire for children that their wife has been sterilized are considered to want no more children. Figures in
parentheses are based on 25-49 unweighted cases. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been suppressed.
1
147
Table 4.19.1 Indicators of sex preference: Women
Mean ideal number of sons, daughters, and children of either sex for women age 15-49, percentage who want more sons than
daughters, percentage who want more daughters than sons, percentage who want at least one son, and percentage who want at
least one daughter by background characteristics, India, 2019-21, and total for NFHS-4
Percent Percent
who want who want Percent Percent
more sons more who want who want
Mean ideal number of
Background than daughters at least at least one Number of
characteristic Sons Daughters Either sex daughters than sons one son daughter women

15-19 0.8 0.8 0.2 9.3 3.1 74.1 72.9 119,640
20-29 0.9 0.8 0.3 12.9 3.1 81.2 79.0 233,968
30-39 1.1 0.9 0.2 17.6 3.7 83.7 80.8 195,988
40-49 1.1 1.0 0.2 20.9 3.6 83.9 81.2 165,179
Residence
Urban 0.9 0.8 0.3 11.4 3.8 75.8 73.8 232,088
Rural 1.1 0.9 0.2 17.4 3.1 84.0 81.4 482,688
Schooling
No schooling 1.3 1.0 0.2 27.5 3.2 88.6 85.9 161,620
<5 years complete 1.1 0.9 0.2 18.0 3.5 85.8 83.0 37,048
5-7 years complete 1.1 0.9 0.2 16.6 3.2 85.0 82.1 95,691
8-9 years complete 0.9 0.8 0.2 12.9 3.0 81.7 79.3 127,215
10-11 years complete 0.9 0.8 0.3 10.2 3.5 77.8 75.7 108,279
12 or more years
complete 0.8 0.7 0.3 8.5 3.7 73.8 72.1 184,922
Marital status
Never married 0.8 0.7 0.3 8.4 3.3 71.2 70.2 167,951
Widowed/divorced/
Religion
Hindu 1.0 0.9 0.2 15.2 3.2 81.5 79.1 582,463
Muslim 1.1 1.0 0.3 18.6 3.7 82.2 80.6 95,664
Christian 1.0 0.9 0.4 11.8 6.5 73.9 73.0 16,523
Sikh 0.8 0.7 0.2 8.9 2.1 77.3 73.0 11,262
Jain 0.6 0.6 0.5 7.6 4.8 60.7 59.7 1,626
Other 1.2 1.0 0.2 20.6 3.5 85.8 83.2 2,701
Caste/tribe
Scheduled caste 1.0 0.9 0.2 16.2 3.1 82.6 80.6 156,588
Scheduled tribe 1.1 1.0 0.2 17.7 3.9 85.3 82.6 66,370
Other 0.9 0.8 0.3 12.4 3.7 78.1 75.5 179,312
Don't know 1.0 0.9 0.3 15.0 3.2 81.3 79.2 4,975
Continued…
148
Table 4.19.1 Indicators of sex preference: Women—Continued
Mean ideal number of sons, daughters, and children of either sex for women age 15-49, percentage who want more sons than
daughters, percentage who want more daughters than sons, percentage who want at least one son, and percentage who want at
least one daughter by background characteristics, India, 2019-21, and total for NFHS-4
Percent Percent
who want who want Percent Percent
more sons more who want who want
Background than daughters at least at least one Number of
characteristic Sons Daughters Either sex daughters than sons one son daughter women
Wealth quintile
Lowest 1.2 1.0 0.2 23.6 3.0 87.8 85.2 131,894
Second 1.1 0.9 0.2 18.0 3.2 84.9 82.4 142,901
Middle 1.0 0.9 0.2 14.5 3.5 82.0 79.7 146,907
Fourth 0.9 0.8 0.3 11.9 3.6 78.6 76.4 148,878
Highest 0.8 0.8 0.4 10.0 3.6 73.9 71.8 144,196
Total 1.0 0.9 0.2 15.4 3.4 81.3 79.0 714,776
NFHS-4 (2015-2016) 1.1 0.9 0.2 18.8 3.5 82.3 78.9 694,605
Note: Table excludes women who gave non-numeric responses to the questions on ideal number of children or ideal number of sons or daughters.
149
Table 4.19.2 Indicators of sex preference: Men
Mean ideal number of sons, daughters, and children of either sex for men age 15-49, percentage who want more sons than
daughters, percentage who want more daughters than sons, percentage who want at least one son, and percentage who want
at least one daughter by background characteristics, India, 2019-21, and total for NFHS-4
Percent Percent Percent

who want who want Percent who want
more sons more who want at least
than daughters at least one Number
Background characteristic Sons Daughters Either sex daughters than sons one son daughter of men

15-19 0.9 0.8 0.2 12.9 2.8 75.8 71.6 15,719
20-29 0.9 0.8 0.3 13.9 3.5 79.5 75.8 28,068
30-39 1.0 0.9 0.3 16.7 4.9 82.4 78.3 25,840
40-49 1.1 0.9 0.3 20.3 5.0 83.8 78.3 21,716
Residence
Urban 0.9 0.8 0.3 14.0 4.1 77.0 72.0 32,142
Rural 1.0 0.9 0.3 17.1 4.1 82.8 78.8 59,201
Schooling
No schooling 1.2 1.0 0.2 23.6 4.8 85.6 81.3 9,783
<5 years complete 1.1 0.9 0.3 21.3 5.3 86.1 81.9 5,752
5-7 years complete 1.1 0.9 0.3 18.4 4.1 85.1 80.6 11,905
8-9 years complete 1.0 0.8 0.3 16.3 3.9 81.7 77.1 18,060
10-11 years complete 0.9 0.8 0.3 14.8 3.7 78.7 74.0 16,445
12 or more years complete 0.9 0.8 0.3 12.1 4.0 76.8 72.8 29,398
Marital status
Never married 0.9 0.8 0.3 12.8 3.0 75.3 71.0 35,290
Widowed/divorced/
Religion
Hindu 1.0 0.8 0.3 15.5 4.0 80.5 76.0 72,419
Muslim 1.1 0.9 0.3 19.4 4.6 83.2 79.4 14,219
Christian 1.1 0.9 0.3 16.4 4.8 79.0 77.0 2,313
Sikh 0.8 0.7 0.3 9.7 2.1 72.6 67.0 858
Buddhist/Neo-Buddhist 0.9 0.8 0.2 13.1 6.7 75.9 74.1 995
Jain 0.7 0.6 0.4 9.5 1.1 66.7 60.5 276
Other 1.0 0.9 0.4 17.4 3.3 75.7 74.0 261
Caste/tribe
Scheduled caste 1.0 0.9 0.3 17.6 4.0 82.7 77.7 18,688
Scheduled tribe 1.1 0.9 0.3 17.1 4.6 82.3 78.8 8,253
Other 0.9 0.8 0.3 14.6 4.0 79.2 74.3 25,508
Don't know 1.0 0.8 0.4 17.1 8.6 75.0 73.1 480
Continued…
150
Table 4.19.2 Indicators of sex preference: Men—Continued
Mean ideal number of sons, daughters, and children of either sex for men age 15-49, percentage who want more sons than
daughters, percentage who want more daughters than sons, percentage who want at least one son, and percentage who want
at least one daughter by background characteristics, India, 2019-21, and total for NFHS-4
Percent Percent Percent

who want who want Percent who want
more sons more who want at least
than daughters at least one Number
Background characteristic Sons Daughters Either sex daughters than sons one son daughter of men
Wealth quintile
Lowest 1.2 0.9 0.3 22.0 3.7 85.3 81.3 15,253
Second 1.1 0.9 0.2 18.0 4.3 84.8 80.1 18,178
Middle 1.0 0.9 0.3 15.5 4.0 81.5 77.2 19,521
Fourth 0.9 0.8 0.3 14.2 4.7 79.2 75.1 20,289
Highest 0.8 0.7 0.4 11.7 3.8 73.7 69.1 18,101
Total age 15-49 1.0 0.8 0.3 16.0 4.1 80.7 76.4 91,343
Age 50-54 1.2 0.9 0.3 21.4 5.3 83.5 79.1 8,549
Total age 15-54 1.0 0.9 0.3 16.5 4.2 81.0 76.6 99,892
Age 15-49
NFHS-4 (2015-2016) 1.0 0.9 0.3 18.7 3.5 82.9 78.1 101,574
Note: Table excludes men who gave non-numeric responses to the questions on ideal number of children or ideal number of sons or daughters.
151
Table 4.20 Indicators of sex preference by state/union territory
Mean ideal number of sons, daughters, and children of either sex, percentage who want more sons than daughters, and percentage who want
more daughters than sons for women and men age 15-49, by state/union territory, India, 2019-21
Percent Percent Percent Percent

who want who want who want who want
more sons more more sons more
Women Men
than daughters than daughters
State/union territory Sons Daughters Either sex daughters than sons Sons Daughters Either sex daughters than sons
India 1.0 0.9 0.2 15.4 3.4 1.0 0.8 0.3 16.0 4.1
North
Chandigarh 0.8 0.8 0.3 4.7 1.7 0.6 0.6 0.3 4.4 0.9
Delhi 0.8 0.7 0.4 7.6 2.9 0.8 0.7 0.5 9.9 1.9
Haryana 1.0 0.9 0.2 10.4 2.0 0.9 0.8 0.2 10.5 2.5
Himachal Pradesh 0.8 0.7 0.3 6.5 4.7 0.7 0.7 0.4 7.5 2.3
Jammu & Kashmir 1.2 1.0 0.1 22.8 6.9 1.3 1.1 0.1 24.8 7.0
Ladakh 1.2 1.0 0.2 22.1 8.9 1.4 1.2 0.1 33.1 6.8
Punjab 0.8 0.7 0.2 8.3 1.9 0.8 0.7 0.2 9.9 1.9
Rajasthan 1.0 0.9 0.2 15.6 1.7 1.1 0.9 0.2 15.9 2.1
Uttarakhand 0.8 0.8 0.5 9.4 2.2 0.8 0.7 0.6 8.4 2.5
Central
Chhattisgarh 1.1 0.9 0.3 16.2 5.4 1.1 1.0 0.2 16.3 4.7
Madhya Pradesh 1.1 0.9 0.2 15.2 2.0 1.0 0.9 0.2 12.6 3.8
Uttar Pradesh 1.2 1.0 0.2 23.1 1.9 1.1 0.9 0.3 22.4 3.0
East
Bihar 1.4 1.0 0.1 31.3 1.9 1.2 0.9 0.2 22.0 2.8
Jharkhand 1.2 1.0 0.2 24.3 2.1 1.1 1.0 0.2 16.4 2.0
Odisha 0.9 0.8 0.2 12.5 2.6 0.8 0.7 0.4 13.7 2.0
West Bengal 0.9 0.8 0.2 10.0 4.8 1.0 0.8 0.4 19.2 4.0
Northeast
Arunachal Pradesh 1.4 1.2 0.1 24.5 7.2 1.3 1.0 0.2 22.8 6.3
Assam 1.0 0.9 0.2 14.3 4.0 1.0 0.9 0.2 15.3 3.0
Manipur 1.4 1.2 0.1 23.3 6.5 1.5 1.1 0.3 32.6 3.1
Meghalaya 1.5 1.5 0.2 15.4 21.2 1.2 1.2 0.1 18.4 11.6
Mizoram 1.8 1.7 0.1 27.3 18.3 2.1 1.6 0.1 37.3 8.6
Nagaland 1.4 1.3 0.3 18.0 12.8 1.5 1.2 0.1 28.2 7.4
Sikkim 0.8 0.8 0.1 9.3 9.0 0.8 0.7 1.3 22.3 10.0
Tripura 0.9 0.8 0.1 11.7 6.7 0.9 0.7 0.3 13.9 2.6
West
and Daman & Diu 0.8 0.8 0.4 7.3 1.2 1.0 0.9 0.2 10.9 0.7
Goa 0.7 0.6 0.6 5.5 4.0 0.9 0.8 0.2 3.1 3.1
Gujarat 0.9 0.8 0.3 14.6 4.1 1.0 0.8 0.3 16.7 4.1
Maharashtra 0.8 0.8 0.3 8.8 4.0 0.9 0.8 0.3 11.5 4.8
Continued…
152
Table 4.20 Indicators of sex preference by state/union territory—Continued
Mean ideal number of sons, daughters, and children of either sex, percentage who want more sons than daughters, and percentage who want
more daughters than sons for women and men age 15-49, by state/union territory, India, 2019-21
Percent Percent Percent Percent

who want who want who want who want
more sons more more sons more
Women Men
than daughters than daughters
State/union territory Sons Daughters Either sex daughters than sons Sons Daughters Either sex daughters than sons
South
Andaman & Nicobar
Islands 0.7 0.6 0.4 6.6 4.9 0.7 0.6 0.3 14.3 7.6
Andhra Pradesh 0.9 0.8 0.4 6.4 3.3 1.0 0.9 0.2 11.4 4.1
Karnataka 0.9 0.8 0.2 14.1 6.2 1.0 0.8 0.2 16.0 6.6
Kerala 0.6 0.6 1.0 7.8 5.5 0.8 0.6 0.8 14.0 5.1
Lakshadweep 0.6 0.6 1.2 8.4 4.0 1.2 0.9 0.6 34.0 8.2
Puducherry 0.7 0.7 0.5 6.4 5.2 0.8 0.7 0.4 11.3 9.4
Tamil Nadu 0.8 0.8 0.4 7.4 4.2 0.9 0.8 0.3 11.9 4.2
Telangana 1.0 0.9 0.2 10.6 4.2 1.0 0.9 0.3 13.7 6.1
Note: Table excludes women and men who gave non-numeric responses to the questions on ideal number of children or ideal number of sons or daughters.
153
Table 4.21 Fertility planning status
Percent distribution of births to women age 15-49 in the 5 years preceding the survey
(including current pregnancies) by planning status of the birth, according to birth order and
mother's age at birth, India, 2019-21
Planning status of birth

Birth order and Wanted Wanted Wanted Number
mother's age at birth then later no more Total of births
Birth order
1 96.3 3.0 0.6 100.0 101,794
2 92.5 5.7 1.9 100.0 86,508
3 89.0 4.2 6.8 100.0 39,284
4 or more 83.5 3.1 13.4 100.0 30,408
Mother's age at birth1

<20 93.2 5.6 1.2 100.0 31,715
20-24 93.1 4.9 2.0 100.0 113,006
25-29 92.4 3.4 4.2 100.0 76,057
30-34 90.6 2.1 7.2 100.0 28,060
35-39 86.7 1.7 11.6 100.0 7,491
40-44 84.4 1.0 14.5 100.0 1,452
45-49 85.2 0.3 14.5 100.0 186
Total 92.4 4.1 3.5 100.0 257,995

1
For current pregnancies, the maternal age at birth is estimated as the mother's expected age at the
time of the birth. Excludes cases with missing information on the duration of pregnancy.
154
Table 4.22 Wanted fertility rates
Total wanted fertility rates and total fertility rates for the 3
years preceding the survey, by background characteristics,
India, 2019-21
Total wanted Total

Background characteristic fertility rate fertility rate
Residence
Urban 1.4 1.6
Rural 1.7 2.1
Schooling
No schooling 2.2 2.8
<5 years complete 1.8 2.3
5-7 years complete 1.8 2.2
12 or more years complete 1.6 1.8
Marital status
Never married 0.0 0.0
Currently married 2.6 3.1
Widowed/divorced/
separated/deserted 1.1 1.3
Religion
Hindu 1.6 1.9
Muslim 1.8 2.4
Christian 1.7 1.9
Sikh 1.4 1.6
Buddhist/Neo-Buddhist 1.2 1.4
Jain 1.5 1.6
Other 1.7 2.1
Caste/tribe
Scheduled caste 1.7 2.1
Scheduled tribe 1.7 2.1
Other backward class 1.7 2.0
Other 1.5 1.8
Don't know 2.0 2.6
Wealth quintile
Lowest 2.0 2.6
Second 1.7 2.1
Middle 1.6 1.9
Fourth 1.5 1.7
Highest 1.4 1.6
Total 1.6 2.0
Note: Rates are calculated based on births to women age 15-49 in

the period 1-36 months preceding the survey. The total fertility
rates are the same as those presented in Table 4.2.
155
Table 4.23 Wanted fertility rates by state/union territory
Total wanted fertility rates and total fertility rates for the 3 years
preceding the survey, by state/union territory, India, 2019-21
Total wanted Total

State/union territory fertility rate fertility rate
India 1.6 2.0
North
Chandigarh 1.2 1.4
Delhi 1.3 1.6
Haryana 1.5 1.9
Himachal Pradesh 1.4 1.7
Jammu & Kashmir 1.3 1.4
Ladakh 1.1 1.3
Punjab 1.3 1.6
Rajasthan 1.6 2.0
Uttarakhand 1.5 1.8
Central
Chhattisgarh 1.6 1.8
Madhya Pradesh 1.6 2.0
Uttar Pradesh 1.8 2.3
East
Bihar 2.2 3.0
Jharkhand 1.9 2.3
Odisha 1.5 1.8
West Bengal 1.4 1.6
Northeast
Arunachal Pradesh 1.5 1.8
Assam 1.6 1.9
Manipur 2.0 2.2
Meghalaya 2.7 2.9
Mizoram 1.8 1.9
Nagaland 1.6 1.7
Sikkim 0.9 1.0
Tripura 1.5 1.7
West
Daman & Diu 1.6 1.8
Goa 1.2 1.3
Gujarat 1.5 1.9
Maharashtra 1.4 1.7
South
Andaman & Nicobar Islands 1.1 1.3
Andhra Pradesh 1.6 1.7
Karnataka 1.4 1.7
Kerala 1.7 1.8
Lakshadweep 1.2 1.4
Puducherry 1.3 1.5
Tamil Nadu 1.6 1.8
Telangana 1.6 1.7
Note: Rates are calculated based on births to women age 15-49 in the
period 1-36 months preceding the survey. The total fertility rates are the
same as those presented in Table 4.3.
156
FAMILY PLANNING 5
Key Findings
 Modern contraceptive use: Modern contraceptive use

by currently married women has increased from 48
percent to 56 percent between 2015-16 and 2019-21.
Female sterilization is still the most popular
contraceptive method, used by 38 percent of currently
married women.
 Source of modern contraceptive methods: Sixty-
eight percent of modern contraceptive method users
obtained the method from the public health sector.
 Contraceptive discontinuation: In the five years
preceding the survey, 50 percent of the women who
started using a contraceptive method discontinued the
method in less than 12 months. The leading reason for
discontinuation is a desire to become pregnant (11%).
 Unmet need for family planning: Nine percent of
currently married women have an unmet need for family
planning, down from 13 percent since 2015-16.
 Hysterectomy: Three percent of women have had a
hysterectomy. More than two-thirds (70%) of
hysterectomies were performed in the private health
sector.
C ouples can use contraceptive methods to limit or space the number of children they have. This chapter presents
information on the knowledge and use of contraceptive methods, sources of contraceptive methods, informed
choice of methods, and rates and reasons for discontinuing contraceptives. The chapter also provides
information on how men perceive contraception and women using contraceptives. It also examines the unmet need for
family planning and exposure to family planning messages. Finally, this chapter includes the prevalence of
hysterectomy by state/UT and socio-demographic characteristics.
5.1 CONTRACEPTIVE KNOWLEDGE AND USE

Knowledge of contraceptive methods is almost universal in India, with more than 99 percent of currently married
women and men age 15-49 knowing at least one method of contraception. More than half of currently married women
(52%) and men (52%) know about emergency contraception. More than half of currently married women and more
than one-quarter of currently married men know about the lactational amenorrhoea method (LAM) (Table 5.1).
Contraceptive prevalence rate (CPR)

Percentage of women who use any contraceptive method
Sample: All women, currently married women, and sexually active unmarried
women age 15-49
157
Overall, the contraceptive prevalence rate (CPR) is 67 percent of currently married women age 15-49. More than half
(56%) of currently married women use a modern method. Only 28 percent of currently married women age 15-19 use
a contraceptive method and 19 percent use a modern contraceptive method. Among sexually active, unmarried women
age 15-49, more than half (55%) use a contraceptive method and almost all of them (51%) use a modern contraceptive
method (Table 5.5).
Modern methods
Include male and female sterilization, injectables, intrauterine devices (IUDs/
PPIUDs), contraceptive pills, implants, female and male condoms, diaphragm,
foam/jelly, the standard days method, the lactational amenorrhoea method, and
emergency contraception
Female sterilization remains the most popular

modern contraceptive method. Among Figure Figure5.1 5.1 What Contraceptive Methods do Women Use?
currently married women age 15-49, 38 percent Currently married
Currently marriedwomen
women age age
15-4915
-49
use female sterilization, followed by male
condoms (10%) and pills (5%). Ten percent use
a traditional method, mostly the rhythm method
(Figure 5.1). Among sexually active unmarried Female
Not using
sterilization
Female
women, male condoms are the most commonly any method
Not using
38%
sterilization
any33%
method
used method (27%), followed by female 33% 38%
Withdrawal
sterilization (21%). 4.0% Male sterilization
Withdrawal 0.3%
4.0%
Rhythm Male sterilization
Trends: The contraceptive prevalence rate 6.2% 0.3%
Rhythm
among currently married women age 15-49 6.2%
LAM
0.7% Pill
increased from 54 percent in 2015-16 to 67 LAM
5.1%
Emergency Pill
percent in 2019-21 (Table 5.2). Among 0.7%
contraception IUD/PPIUD
Female 2.1% 5.1%
0.1% Condom/Nirodh
sexually active unmarried women age 15-49, Emergency condom
<0.1% 9.5%
Injectables
IUD/PPIUD
contraception 0.6%
the use of condoms/Nirodhs increased from 12 0.1% Female 2.1%
condom Condom/Nirodh Injectables
percent in 2015-16 to 27 percent in 2019-21 <0.1% 9.5% 0.6%
 Contraceptive use among currently

married women rises with an Figure 5.2 Use of Modern Contraceptive Methods
increasing number of living children by Household Wealth
from 17 percent of women with no
Percentage of currently married women age 15-49
living children to 52 percent of
women with one child and 80 percent
of women with three children (Table
5.3.1).
 By employment status, 53 percent of 56 58 59 59
51
women who are not employed use a
modern contraceptive method,
compared with 66 percent of women
who are employed for cash (Table
5.3.1).
 Modern contraceptive use increases Lowest Second Middle Fourth Highest
with wealth, from 51 percent of
women in the lowest wealth quintile Poorest Wealthiest
to 59 percent of women in the highest
quintile (Table 5.3.1 and Figure 5.2).
 Almost two-thirds of Buddhist/Neo-Buddhist women (64%) use modern contraception, compared with 47 percent
of Muslim women (Table 5.3.1).
 Half of the women who undergo sterilization have the operation by the age of 25.7 years (Table 5.6), the same as
in NFHS-4.
158
 Among the states, the use of contraceptive methods is the lowest in Meghalaya (27%), Mizoram (31%), and Bihar
(56%), and highest in West Bengal, Odisha, and Himachal Pradesh (74% each). Among the states, a relatively low
proportion of currently married women use contraceptive methods in all of the smaller states in the northeast region
except for Sikkim and Tripura. Among the union territories, the use of contraceptive methods is the lowest in
Ladakh (51%) and the highest in Chandigarh (77%) (Table 5.2 and Figure 5.3).
 There is a large variation in the use of modern contraceptive methods across districts in India, ranging from 11 to
81 percent. Districts with the lowest use of modern contraceptive methods are East Khasi Hills (12%), Ukhrul
(12%), West Khasi Hills (15%), and South West Khasi Hills and Imphal West (16% each). Districts with the
highest use of modern contraceptive methods are Nagpur (81%); Balod, Indore, and Chikmagalur (80% each); and
Chamarajanagar (79%) (Map 5.1).
Figure 5.3 Use of Contraceptive Methods by State/UT

Chandigarh 77
Delhi 76
West Bengal 74
Himachal Pradesh 74
Odisha 74
Haryana 73
Rajasthan 72
Madhya Pradesh 72
Tripura 71
Andhra Pradesh 71
Uttarakhand 71
Sikkim 69
Karnataka 69
Tamil Nadu 69
Telangana 68
Goa 68
Chhattisgarh 68
INDIA 67
Punjab 67
Maharashtra 66
Puducherry 66
Gujarat 65
Uttar Pradesh 62
Jharkhand 62
Manipur 61
Assam 61
Kerala 61
Jammu & Kashmir 60
Nagaland 57
Bihar 56
Lakshadweep 53
Ladakh 51
Mizoram 31
Meghalaya 27
159
160
5.2 SOURCE OF MODERN CONTRACEPTIVE METHODS
Source of modern contraceptives

The place where the modern method currently being used was obtained the last
time it was acquired
Sample: Women age 15-49 currently using a modern contraceptive method
Almost seven in 10 (68%) modern

method contraceptive users obtained their Figure 5.4 Source of Modern Contraceptive Methods
method from the public health sector. The Percent distribution of women age 15-49 who are current users of
rest of the users of modern methods modern methods by most recent source of method
obtained their method from the private
health sector, including NGOs or trust
hospitals/clinics (25%) and other sources
Other
(7%), including shops, their husband, source
friends, and relatives. A lower proportion 7.0%
of urban users (55%) than rural users
(74%) obtained their method from the Private health
public health sector (Table 5.9 and sector/NGO or trust
hospital/clinic
Figure 5.4). 25%
Public health
The public health sector is the major sector
68%
source of female and male sterilization,
IUDs/PPIUDs, and injectables, whereas
the private health sector is the major
source of pills, injectables, and
condoms/Nirodhs (Table 5.8).
 Female sterilization: More than eight in 10 (81%) women who got sterilized underwent the procedure in a public
health sector facility, mostly a government/municipal hospital or a CHC/rural hospital/Block PHC.
 Pill: Nearly half (45%) of pill users received their supply from the private health sector, and 41 percent received
their supply from the public health sector.
 Male condoms, injectables, and IUDs/PPIUDs: Two-fifths of users of male condoms, 30 percent of users of
injectables, and about one-quarter (24%) of users of IUDs/PPIUDs obtained the method from the private health
sector.
The lowest use of the public health sector as a source for modern contraceptives was in Tripura (39%), followed by
Delhi (44%), and Manipur and Assam (49% each). In contrast, among the states, 85 percent of modern contraceptive
method users in Madhya Pradesh and Chhattisgarh obtained their method from the public health sector, followed by
81 percent in Karnataka. Use of the public health sector for modern contraceptive methods is also very high in the
union territories of Ladakh (92%) Puducherry (83%), and the Andaman & Nicobar Islands (83%). Two-thirds of male
condom users in Mizoram (67%), 62 percent in Sikkim, and 53 percent in Kerala obtained their method from the public
health sector, compared with only 12 percent in Uttarakhand (Table 5.10).
Less than one percent of women have ever used emergency contraceptive pills. The major source of emergency
contraceptive pills is the private health sector, primarily pharmacies or drugstores (Table 5.11).
161
5.3 INFORMED CHOICE
Informed choice
Informed choice refers to women being informed at the time they started the
current episode of method use, about the method’s side effects, what to do if
they experience side effects, and other methods they could use.
Sample: Women age 15-49 who are currently using selected modern
contraceptive methods and who started the last episode of use within the five
years before the survey
Sixty-two percent of women currently using selected modern contraceptives were informed about the possible side
effects or problems associated with the method they used, and 54 percent were informed about what to do if they
experienced side effects. A higher proportion of women (69%) were informed about other available methods that they
could use (Table 5.12).
The percentage of women who were informed about possible side effects or problems with their method ranged from
29 percent in Andhra Pradesh to 92 percent in Chandigarh. The percentage given information about what to do if they
experienced side effects was lower in every state than the percentage who were told about side effects. Nearly eight in
10 women in Tamil Nadu and Chhattisgarh (78% each) and 87 percent of women in Chandigarh were informed about
what to do if they experienced side effects with the method. A large majority of women in Goa (91%), Andaman &
Nicobar Islands (91%), Chandigarh (90%), Chhattisgarh (88%), and Tamil Nadu (87%) were informed by a health or
family planning worker about other methods they could use (Table 5.13).
5.4 DISCONTINUATION OF CONTRACEPTIVES
Contraceptive discontinuation rate

Percentage of contraceptive use episodes discontinued within 12 months.
Sample: Episodes of contraceptive use in the five years before the survey for
women who are currently age 15-49
One in two episodes of contraceptive use

in the five years before the survey were
Figure 5.5 Contraceptive Discontinuation Rates for
discontinued within 12 months. Modern Spacing Methods
Contraceptive discontinuation rates for Percentage of contraceptive episodes discontinued within 12
any reason were higher for “other months among women age 15-49
methods” (79%), injectables (66%),
condoms/Nirodhs (61%), rhythm (60%),
withdrawal (59%), and pills (55%) than
66
for IUDs/PPIUDs (35%) (Table 5.14 and 61 58
55
Figure 5.5). The most common reason for
discontinuing use of the method was that 35
the woman wanted to become pregnant.
Only 7 percent of episodes of
contraceptive use were discontinued
because the woman switched to another
Pill IUD/PPIUD Injectables Condom/ All modern
method (Table 5.14). Nirodh spacing
methods
Contraceptive discontinuation rates for any method are as low as 9 percent in Karnataka (where almost all contraceptive
users were sterilized) and as high as 66 percent in Uttar Pradesh. The discontinuation rate for any spacing method is
highest (60-68%) in Chhattisgarh, Madhya Pradesh, Punjab, Karnataka, Kerala, Bihar, and Uttar Pradesh (Table 5.15).
162
5.5 EXPOSURE TO FAMILY PLANNING MESSAGES
Three-fourths (75%) of women heard or saw a family planning message in the past few months (60% on television,
56% on a wall painting or hoarding, and only 15% on radio) (Table 5.16.1). Older women, women in rural areas,
women with little or no schooling, Muslim women, scheduled tribe women, and women in the two lowest wealth
quintiles have less exposure to family planning messages.
Exposure to family planning messages is slightly higher for men (78%) than women (75%). About three-fifths of men
age 15-49 heard or saw a family planning message in the past few months on a wall painting or hoarding (62%) or on
television (57%). Men in rural areas, men having little or no schooling, Sikh and Christian men, men from scheduled
tribes, and men in the two lowest wealth quintiles have less exposure to family planning messages (Table 5.16.2).
More than one-third of men believe that contraception is women’s business and that men should not have to worry
about it. Twenty percent of men believe that a woman who uses contraception may become promiscuous. More than
half (55%) of men reported that if a male condom is used correctly, it protects against pregnancy most of the time. An
additional one-third of men said that a condom sometime protects against pregnancy if it is used correctly (Table 5.17).
5.6 DEMAND FOR FAMILY PLANNING
Unmet need for family planning

Proportion of women who (1) are not pregnant and not postpartum
amenorrhoeic, are considered fecund, and want to postpone their next birth for
2 or more years or stop childbearing altogether, but are not using a contraceptive
method, or (2) have a mistimed or unwanted current pregnancy, or (3) are
postpartum amenorrhoeic and their last birth in the last two years was mistimed
or unwanted.
Sample: All women, currently married women, and sexually active unmarried
women age 15-49
Demand for family Unmet need for family planning +

planning: current contraceptive use (any method)
Proportion of Current contraceptive use (any method)

demand satisfied: Unmet need + current contraceptive use (any method)
Proportion of
demand satisfied Current contraceptive use (any modern method)
by modern Unmet need + current contraceptive use (any method)
methods:
More than three-fourths of currently married women age 15-49 have a demand for family planning; 14 percent have a
demand for spacing births and 63 percent have a demand for limiting births. Sixty-seven percent of currently married
women are already using a contraceptive method either to space or to limit births, and therefore have their need met.
However, 9 percent of currently married women have an unmet need for family planning, including 4 percent who
have an unmet need for spacing births and 5 percent who have an unmet need for limiting births (Table 5.19 and
Figure 5.6). If all currently married women who want to space or limit their children were to use a family planning
method, the contraceptive prevalence rate would increase from 67 percent to 76 percent.
163
Trends: The total demand for family planning
among currently married women age 15-49 in Figure 5.6 Demand for Family Planning
India increased from 66 percent in 2015-16 to 76
percent in 2019-21 (Table 5.20). The unmet
Currently married
Currently married women
women age age
15-4915-49
need for family planning methods has decreased
from 13 percent in NFHS-4 to 9 percent in
NFHS-5.

Met need for
spacing Met need
 Unmet need for family planning methods Met10%
need for for limiting
57% Met need
spacing
among currently married women ranges 10% for limiting
57%
from a low of 3 percent among women age
Unmet need
45-49 to a high of 18 percent among women for limiting
5.4%
age 15-19 (Table 5.19). Unmet need
for limiting
5.4%need
Unmet No demand for
 Unmet need for family planning methods for spacing family planning
generally increases with increasing years of 4.0% 24%
schooling, from 7 percent among currently Unmet need No demand for

for spacing family planning
married women with no schooling to 13 4.0% 24%
percent among those who have completed
12 or more years of schooling.
 Unmet need for family planning methods is highest in Meghalaya (27%) and Mizoram (19%). Unmet need is less
than 10 percent in most of the remaining states except Maharashtra, Punjab, Gujarat, Assam, Jharkhand, Sikkim,
Manipur, Arunachal Pradesh, Kerala, Uttar Pradesh, and Bihar where it varies between 10 and 15 percent. Unmet
need is lowest in Andhra Pradesh (5%) and in Delhi, Karnataka, and Telangana (6% each) (Table 5.20 and Figure
5.7).
164
Figure 5.7 Unmet Need for Family Planning by
State/UT
Meghalaya 27
Mizoram 19
Bihar 14
Uttar Pradesh 13
Kerala 13
Lakshadweep 12
Manipur 12
Sikkim 12
Jharkhand 12
Assam 11
Puducherry 11
Gujarat 10
Punjab 10
Maharashtra 10
INDIA 9.4
Nagaland 9.1
Uttarakhand 8.8
Goa 8.4
Chhattisgarh 8.3
Tripura 8.2
Ladakh 7.9
Jammu & Kashmir 7.8
Madhya Pradesh 7.7
Rajasthan 7.6
Haryana 7.6
Tamil Nadu 7.5
Odisha 7.2
West Bengal 7.0
Chandigarh 6.9
Telangana 6.4
Karnataka 6.4
Delhi 6.1
Andhra Pradesh 4.7
5.7 HYSTERECTOMY
Hysterectomy
Hysterectomy is surgery that involves partial or complete removal of the uterus
of a woman.
Sample: Women age 15-49 who are currently not menstruating for more than 6
months, not pregnant or unsure.
Three percent of women age 15-49 have had a hysterectomy. The median age for hysterectomy is 34.6
years among women age 15-49. More than two-thirds (70%) of women who have undergone a
hysterectomy had the operation in a private health facility. The prevalence of hysterectomy is the highest
in Andhra Pradesh (9%), followed by Telangana (8%), and lowest in Sikkim (0.8%) and Meghalaya
(0.7%) (Tables 5.21 and 5.22).
165
List of Tables
For more information on family planning, see the following tables:
Tables
Table 5.1 Knowledge of contraceptive methods
Table 5.2 Current use of contraception by state/union territory
Table 5.3.1 Current use of contraception by background characteristics
Table 5.3.2 Contraceptive use by men with last partner
Table 5.4 Knowledge of contraceptive methods among adolescents
Table 5.5 Current use of contraception by age
Table 5.6 Timing of sterilization
Table 5.7 Compensation for sterilization and PPIUD
Table 5.8 Compensation for sterilization and PPIUD by state/union territory
Table 5.9 Source of modern contraceptive methods
Table 5.10 Public sector as source of modern contraceptive by state/union territory
Table 5.11 Use and source of emergency contraceptive pill
Table 5.12 Informed choice
Table 5.13 Informed choice by state/union territory
Table 5.14 Twelve-month contraceptive discontinuation rates
Table 5.15 Twelve-month contraceptive discontinuation rates by state/union territory
Table 5.16.1 Exposure to family planning messages: Women
Table 5.16.2 Exposure to family planning messages: Men
Table 5.17 Men’s contraception-related perceptions and knowledge
Table 5.18 Men’s contraception-related perceptions and knowledge by state/union territory
Table 5.19 Need and demand for family planning among currently married women
Table 5.20 Need and demand for family planning among currently married women by
state/union territory and over time
Table 5.21 Hysterectomy
Table 5.22 Hysterectomy by state/union territory
166
Table 5.1 Knowledge of contraceptive methods
Percentage of all women and men, currently married women and men, sexually active unmarried women and men, and never married women
and men who know any contraceptive method by specific method and residence, India, 2019-21
Women Men
Sexually Sexually
Currently active Never Currently active Never
married unmarried married All married unmarried married
Method All women women women1 women men men men1 men
URBAN
Any method 99.1 99.9 99.9 96.7 99.4 99.9 100.0 98.7
Any modern method 99.0 99.9 99.7 96.7 99.4 99.9 100.0 98.7
Female sterilization 97.6 99.3 98.4 92.8 92.8 96.5 97.9 87.7
Male sterilization 84.5 89.6 90.1 70.2 87.6 91.9 94.5 81.7
Pill 91.6 95.2 95.0 82.1 86.9 91.7 94.1 80.6
IUD or PPIUD 84.2 91.1 89.4 65.1 51.6 59.7 56.3 41.1
Injectables 81.1 85.9 83.8 68.9 70.0 76.3 79.0 61.9
Condom/Nirodh 91.8 94.7 95.4 84.6 97.9 98.5 99.9 97.0
Female condom 31.5 33.3 42.2 27.5 46.8 50.5 51.2 42.0
Emergency contraception 55.4 61.1 58.3 40.9 52.2 58.2 69.1 44.1
Diaphragm 11.8 12.7 14.4 9.6 16.5 18.1 20.3 14.4
Foam or jelly 9.6 10.3 13.4 7.9 13.6 15.0 16.2 12.0
Standard days method 32.5 37.3 37.0 19.4 27.6 33.9 26.6 19.5
Lactational amenorrhea method (LAM) 47.2 55.2 45.1 25.2 23.9 29.4 23.9 16.7
Other modern method 1.2 1.3 0.7 0.7 5.0 5.9 5.6 3.8
Pill, IUD/PPIUD, and condom/Nirodh2 79.4 87.0 85.2 59.3 49.6 57.8 54.5 39.0
Any traditional method 76.1 86.5 87.0 48.0 76.6 85.7 88.5 65.0
Rhythm 64.2 73.6 65.2 38.9 49.1 59.8 64.0 35.1
Withdrawal 66.1 77.5 82.3 35.2 72.4 80.7 84.2 61.8
Other traditional method 1.5 1.8 0.4 0.7 0.8 1.0 1.6 0.6
Mean number of methods known by

respondents age15-49 8.5 9.2 9.1 6.7 8.0 8.7 8.8 7.0
Number of respondents age 15-49 235,279 163,394 312 61,041 32,852 18,458 1,330 14,010

respondents age15-54 na na na na 8.0 8.6 8.8 7.0
Number of respondents age 15-54 na na na na 35,837 21,274 1,353 14,093
Continued…
167
Table 5.1 Knowledge of contraceptive methods—Continued
Women Men
Sexually Sexually
RURAL
Any method 98.7 99.7 99.8 95.5 98.7 99.5 99.6 97.3
Pill 88.7 92.1 89.6 78.4 82.3 86.1 89.7 76.2
IUD or PPIUD 77.3 83.7 78.8 56.9 45.8 51.4 52.7 36.6
Injectables 78.2 82.6 76.0 64.9 63.5 67.5 69.9 57.0
Condom/Nirodh 84.9 88.3 90.0 75.1 95.3 96.0 97.2 94.3
Female condom 21.0 22.3 17.6 17.3 35.7 36.7 42.8 34.3
Diaphragm 7.4 8.0 5.3 5.8 10.6 11.3 13.6 9.5
Foam or jelly 5.7 6.2 5.9 4.6 8.7 9.3 11.3 7.9
Rhythm 61.9 70.3 64.9 35.1 46.5 54.7 53.7 32.9
Withdrawal 63.0 73.4 75.8 29.6 68.0 73.9 78.3 58.3

respondents age15-49 7.9 8.5 8.0 6.0 7.3 7.8 8.0 6.4

Continued…
168
Table 5.1 Knowledge of contraceptive methods—Continued
Women Men
Sexually Sexually
TOTAL
Any method 98.8 99.7 99.9 95.9 98.9 99.6 99.8 97.8
Pill 89.7 93.1 91.6 79.7 83.9 87.9 91.4 77.9
IUD or PPIUD 79.5 86.0 82.8 59.8 47.8 54.2 54.1 38.4
Injectables 79.1 83.7 78.9 66.3 65.8 70.5 73.4 58.9
Condom/Nirodh 87.1 90.3 92.0 78.4 96.2 96.9 98.3 95.4
Female condom 24.4 25.8 26.8 20.9 39.6 41.3 46.0 37.2
Diaphragm 8.9 9.5 8.7 7.2 12.7 13.6 16.2 11.4
Foam or jelly 7.0 7.5 8.7 5.8 10.5 11.2 13.2 9.5
Rhythm 62.7 71.4 65.0 36.4 47.4 56.4 57.7 33.8
Withdrawal 64.0 74.6 78.3 31.6 69.6 76.2 80.6 59.6

respondents age15-49 8.1 8.7 8.4 6.2 7.5 8.1 8.4 6.7

IUD = Intrauterine device; PPIUD = Postpartum intrauterine device

na = Not applicable
1
Had sexual intercourse in the 30 days preceding the survey
2
All three methods
169
Table 5.2 Current use of contraception by state/union territory
Percent distribution of currently married women age 15-49 by contraceptive method currently used, according to residence and state/union territory, India, 2019-21, and by residence, NFHS-4
Modern method Traditional method

Any Other
Any Female Male Emergency Other tradi- tradi- Not
Any modern sterili- sterili- IUD or Inject- Condom/ Female contra- modern tional With- tional currently
State/union territory method method zation zation Pill PPIUD ables Nirodh condom ception LAM method method Rhythm drawal method using Total
URBAN
India 69.3 58.5 36.3 0.2 4.3 2.7 0.4 13.6 0.0 0.1 0.5 0.3 10.7 6.1 4.6 0.0 30.7 100.0
NFHS-4 (2015-2016) 57.2 51.2 35.7 0.3 3.6 2.3 0.2 9.0 0.0 na 0.1 0.0 5.9 3.5 2.4 0.0 36.0 100.0
North
Chandigarh 77.5 55.8 19.0 0.3 0.4 4.3 0.0 31.2 0.0 0.0 0.5 0.0 21.8 15.4 6.4 0.0 22.5 100.0
Delhi 76.5 57.6 18.0 0.2 2.7 6.6 0.3 28.4 0.0 0.1 0.6 0.7 18.9 8.7 10.2 0.0 23.5 100.0
Haryana 73.5 59.0 24.1 0.7 2.9 5.0 0.4 24.6 0.0 0.0 0.2 1.1 14.5 9.8 4.7 0.0 26.5 100.0
Himachal Pradesh 75.2 59.3 21.7 2.5 1.9 0.9 0.0 31.9 0.0 0.0 0.0 0.4 15.9 3.3 12.6 0.0 24.8 100.0
Jammu & Kashmir 59.2 53.5 21.6 0.4 7.7 7.2 4.0 11.6 0.4 0.2 0.3 0.1 5.8 0.0 5.7 0.0 40.8 100.0
Ladakh 50.6 46.0 16.5 0.3 5.3 8.1 6.2 8.2 0.5 0.0 1.1 0.0 4.6 1.9 2.7 0.0 49.4 100.0
170
Punjab 68.4 49.4 18.0 0.5 1.1 2.8 0.1 26.6 0.0 0.1 0.2 0.1 19.0 13.8 5.2 0.0 31.6 100.0
Rajasthan 74.2 63.2 35.5 0.2 3.4 1.9 0.4 21.3 0.0 0.1 0.3 0.1 11.0 5.2 5.8 0.0 25.8 100.0
Uttarakhand 73.5 59.5 17.8 0.2 2.6 2.0 0.6 35.4 0.0 0.2 0.6 0.1 14.0 7.8 6.2 0.0 26.5 100.0
Central
Chhattisgarh 71.3 64.9 47.3 0.4 2.6 3.7 0.4 7.9 0.0 0.0 2.4 0.3 6.4 3.8 2.6 0.0 28.7 100.0
Madhya Pradesh 71.4 63.8 41.5 0.8 2.6 1.4 0.6 15.8 0.0 0.0 0.8 0.4 7.6 4.3 3.3 0.0 28.6 100.0
Uttar Pradesh 67.6 48.6 13.5 0.1 4.0 2.0 0.9 27.1 0.0 0.2 0.7 0.1 19.0 15.3 3.8 0.0 32.4 100.0
East
Bihar 62.3 47.0 31.8 0.2 3.6 1.3 1.1 7.3 0.0 0.0 1.6 0.1 15.2 11.0 4.2 0.0 37.7 100.0
Jharkhand 66.0 51.4 37.3 0.4 3.1 2.0 0.5 6.0 0.0 0.0 1.8 0.2 14.6 10.6 4.1 0.0 34.0 100.0
Odisha 76.9 47.2 24.4 0.2 10.3 2.3 0.4 8.7 0.0 0.1 0.7 0.1 29.7 11.9 17.8 0.0 23.1 100.0
West Bengal 77.5 61.0 26.8 0.1 20.1 2.0 0.8 10.1 0.0 0.1 0.1 0.8 16.5 5.5 11.0 0.0 22.5 100.0
Continued…
Table 5.2 Current use of contraception by state/union territory—Continued

Any Other
Northeast
Arunachal Pradesh 57.0 44.8 15.7 0.0 13.3 6.3 0.7 7.5 0.0 0.4 0.5 0.4 12.1 1.6 10.5 0.0 43.0 100.0
Assam 61.4 42.3 9.3 0.1 21.2 3.3 0.3 7.6 0.2 0.0 0.2 0.1 19.1 6.4 12.7 0.0 38.6 100.0
Manipur 61.5 19.3 4.4 0.0 3.0 5.5 0.1 6.1 0.0 0.1 0.0 0.1 42.3 7.7 34.6 0.0 38.5 100.0
Meghalaya 25.9 21.0 7.1 0.0 6.0 2.9 0.7 3.9 0.0 0.3 0.0 0.0 4.9 0.8 4.0 0.0 74.1 100.0
Mizoram 29.1 28.6 13.6 0.0 10.9 2.4 0.0 1.5 0.1 0.0 0.0 0.0 0.5 0.1 0.4 0.0 70.9 100.0
Nagaland 61.0 48.5 13.6 0.0 9.1 20.1 0.2 4.2 0.0 0.1 0.5 0.7 12.5 2.2 10.3 0.0 39.0 100.0
Sikkim 55.5 43.6 14.3 0.4 9.7 4.6 3.9 10.7 0.0 0.0 0.0 0.0 12.0 0.1 11.9 0.0 44.5 100.0
Tripura 76.9 53.4 14.2 0.0 33.0 0.0 0.2 5.0 0.0 0.3 0.5 0.1 23.5 13.0 10.6 0.0 23.1 100.0
West
and Daman & Diu 63.5 53.6 30.9 0.0 3.5 3.0 0.7 15.6 0.0 0.0 0.0 0.0 9.9 4.5 5.4 0.0 36.5 100.0
171
Goa 72.3 65.0 33.2 0.0 3.4 2.5 0.0 24.6 0.0 0.0 1.3 0.0 7.3 5.2 2.0 0.0 27.7 100.0
Gujarat 69.5 54.0 29.1 0.1 3.1 4.2 0.1 16.8 0.0 0.0 0.6 0.0 15.5 12.3 3.2 0.0 30.5 100.0
Maharashtra 65.8 62.7 44.0 0.1 1.9 2.2 0.2 14.1 0.0 0.1 0.0 0.1 3.1 0.8 2.3 0.0 34.2 100.0
South
Andaman & Nicobar
Islands 54.4 48.5 31.0 0.0 2.2 2.2 0.5 12.1 0.0 0.0 0.0 0.5 5.9 1.4 4.5 0.0 45.6 100.0
Andhra Pradesh 70.8 70.3 68.3 0.6 0.1 0.2 0.0 0.9 0.1 0.0 0.1 0.0 0.6 0.2 0.4 0.0 29.2 100.0
Karnataka 69.6 68.8 55.2 0.0 2.1 3.4 0.6 6.0 0.2 0.2 0.8 0.2 0.8 0.3 0.5 0.0 30.4 100.0
Kerala 61.4 50.6 43.6 0.0 0.5 1.6 0.0 4.0 0.1 0.0 0.2 0.8 10.8 4.6 6.2 0.0 38.6 100.0
Lakshadweep 51.8 31.0 21.4 0.0 1.4 1.2 0.0 4.7 0.0 0.0 0.9 1.4 20.8 5.9 14.9 0.0 48.2 100.0
Puducherry 65.8 61.2 51.7 0.4 0.5 2.1 0.2 5.8 0.0 0.0 0.2 0.2 4.6 0.4 4.2 0.0 34.2 100.0
Tamil Nadu 67.6 64.0 55.6 0.1 0.4 4.8 0.1 2.6 0.0 0.0 0.3 0.2 3.5 1.1 2.4 0.0 32.4 100.0
Telangana 69.0 66.9 61.3 1.4 1.2 1.0 0.1 1.3 0.0 0.0 0.7 0.1 2.0 1.0 1.0 0.0 31.0 100.0
Continued…

Any Other
RURAL
India 65.6 55.5 38.6 0.3 5.4 1.8 0.6 7.6 0.0 0.0 0.8 0.2 10.0 6.3 3.7 0.0 34.4 100.0
NFHS-4 (2015-2016) 51.7 46.0 36.1 0.3 4.3 1.1 0.2 3.9 0.0 na 0.1 0.0 5.7 3.5 2.2 0.0 48.3 100.0
North
Chandigarh 66.7 38.9 16.7 0.0 5.6 0.0 0.0 16.7 0.0 0.0 0.0 0.0 27.8 27.8 0.0 0.0 33.3 100.0
Delhi 71.3 59.7 18.6 0.5 3.4 11.0 1.8 23.3 0.0 0.0 0.0 1.0 11.6 6.7 4.9 0.0 28.7 100.0
Haryana 72.9 61.3 36.3 1.1 2.8 4.9 0.4 14.9 0.0 0.1 0.4 0.4 11.7 7.9 3.7 0.0 27.1 100.0
Jammu & Kashmir 60.0 52.1 20.9 0.3 9.4 5.4 3.4 11.7 0.2 0.0 0.6 0.1 7.8 0.1 7.7 0.0 40.0 100.0
Ladakh 51.5 48.5 16.8 0.4 6.9 7.9 6.1 9.1 0.0 0.1 1.1 0.0 3.0 0.9 2.1 0.0 48.5 100.0
172
Punjab 65.4 51.0 25.6 0.4 1.7 3.2 0.1 19.7 0.0 0.0 0.3 0.0 14.4 10.7 3.7 0.0 34.6 100.0
Rajasthan 71.7 61.8 44.5 0.3 3.0 1.3 0.7 11.4 0.0 0.0 0.5 0.1 10.0 4.8 5.2 0.0 28.3 100.0
Uttarakhand 69.5 57.1 29.8 0.9 2.7 1.3 0.3 21.0 0.0 0.2 0.7 0.2 12.4 6.5 5.9 0.0 30.5 100.0
Central
Chhattisgarh 66.8 60.8 47.6 0.9 2.3 2.6 0.4 3.0 0.0 0.0 3.7 0.3 6.0 3.7 2.3 0.0 33.2 100.0
Madhya Pradesh 71.9 66.1 55.7 0.7 1.7 0.9 0.3 5.3 0.0 0.0 1.4 0.1 5.8 3.7 2.1 0.0 28.1 100.0
Uttar Pradesh 60.8 43.2 18.0 0.0 4.5 1.3 1.2 16.6 0.1 0.1 1.1 0.2 17.6 15.3 2.3 0.0 39.2 100.0
East
Bihar 54.6 43.9 35.3 0.1 1.8 0.7 1.1 3.4 0.0 0.0 1.5 0.1 10.7 8.0 2.8 0.0 45.4 100.0
Jharkhand 60.4 48.9 37.4 0.2 3.1 1.6 0.5 3.5 0.0 0.0 2.4 0.1 11.5 8.5 3.0 0.0 39.6 100.0
Odisha 73.5 49.1 28.8 0.3 10.9 2.6 0.2 4.9 0.0 0.0 1.3 0.0 24.4 9.5 14.9 0.0 26.5 100.0
West Bengal 73.0 60.6 30.5 0.1 20.4 2.3 0.7 5.6 0.0 0.1 0.2 0.7 12.4 4.8 7.6 0.0 27.0 100.0
Continued…

Any Other
Northeast
Assam 60.7 45.8 8.9 0.1 28.5 2.9 0.6 4.4 0.0 0.0 0.3 0.1 14.9 5.6 9.3 0.0 39.3 100.0
Manipur 61.2 17.5 3.2 0.0 5.2 4.5 0.2 4.0 0.0 0.1 0.1 0.1 43.6 8.7 34.9 0.0 38.8 100.0
Meghalaya 27.8 22.9 5.2 0.0 8.9 4.7 1.2 2.4 0.0 0.3 0.1 0.1 4.9 1.3 3.6 0.0 72.2 100.0
Mizoram 33.5 33.2 12.3 0.0 15.2 3.2 0.2 2.3 0.0 0.0 0.0 0.0 0.3 0.0 0.3 0.0 66.5 100.0
Nagaland 55.7 43.8 14.8 0.0 5.1 19.7 0.4 2.8 0.0 0.0 0.5 0.6 11.8 4.1 7.7 0.0 44.3 100.0
Sikkim 77.3 61.8 14.6 2.5 23.3 7.1 3.2 8.4 0.0 0.0 0.5 2.2 15.5 4.6 10.8 0.1 22.7 100.0
Tripura 68.9 47.4 9.1 0.0 32.6 0.6 0.3 2.6 0.0 0.2 1.2 0.8 21.4 11.4 10.0 0.0 31.1 100.0
West
and Daman & Diu 72.4 65.9 52.4 0.3 2.8 1.5 1.1 7.8 0.0 0.0 0.0 0.0 6.5 3.3 3.1 0.0 27.6 100.0
173
Goa 61.1 52.4 24.9 0.0 1.7 2.2 0.0 21.1 0.2 0.0 1.2 1.1 8.7 6.5 2.2 0.0 38.9 100.0
Gujarat 62.2 53.3 40.8 0.2 1.8 2.4 0.1 7.5 0.0 0.0 0.4 0.1 9.0 6.7 2.3 0.0 37.8 100.0
Maharashtra 66.5 64.7 53.3 0.6 1.7 1.6 0.2 7.1 0.0 0.0 0.1 0.0 1.8 0.4 1.4 0.0 33.5 100.0
South
Andaman & Nicobar
Islands 73.4 63.9 44.6 0.3 4.5 5.0 0.1 8.2 0.0 0.0 0.0 1.1 9.5 1.9 7.5 0.0 26.6 100.0
Andhra Pradesh 71.2 71.1 70.2 0.4 0.1 0.1 0.0 0.2 0.0 0.0 0.0 0.0 0.1 0.1 0.1 0.0 28.8 100.0
Karnataka 68.2 67.7 58.9 0.0 2.1 2.5 0.4 2.9 0.1 0.0 0.7 0.1 0.4 0.1 0.3 0.0 31.8 100.0
Kerala 60.1 54.8 49.4 0.1 0.3 1.5 0.0 2.9 0.0 0.0 0.2 0.4 5.2 2.0 3.3 0.0 39.9 100.0
Lakshadweep 55.4 27.1 18.1 0.0 0.3 0.0 0.0 2.2 0.0 0.0 4.5 2.0 28.3 22.6 5.7 0.0 44.6 100.0
Puducherry 66.4 64.3 58.5 0.0 0.4 1.3 0.9 3.1 0.0 0.0 0.1 0.0 2.1 0.4 1.7 0.0 33.6 100.0
Tamil Nadu 69.4 66.8 59.9 0.1 0.3 4.7 0.3 1.2 0.0 0.0 0.2 0.2 2.7 0.9 1.8 0.0 30.6 100.0
Telangana 67.6 66.5 62.2 2.3 0.5 0.2 0.1 0.5 0.0 0.0 0.6 0.0 1.1 0.4 0.7 0.0 32.4 100.0
Continued…

Any Other
TOTAL
India 66.7 56.4 37.9 0.3 5.1 2.1 0.6 9.5 0.0 0.1 0.7 0.2 10.3 6.2 4.0 0.0 33.3 100.0
NFHS-4 (2015-2016) 53.5 47.8 36.0 0.3 4.1 1.5 0.2 5.6 0.0 na 0.1 0.0 5.8 3.5 2.3 0.0 46.5 100.0
North
Chandigarh 77.4 55.6 19.0 0.3 0.5 4.2 0.0 31.1 0.0 0.0 0.5 0.0 21.8 15.5 6.3 0.0 22.6 100.0
Delhi 76.4 57.7 18.0 0.2 2.7 6.7 0.4 28.3 0.0 0.1 0.6 0.7 18.7 8.6 10.1 0.0 23.6 100.0
Haryana 73.1 60.5 32.3 0.9 2.8 4.9 0.4 18.1 0.0 0.1 0.3 0.6 12.6 8.6 4.1 0.0 26.9 100.0
Jammu & Kashmir 59.8 52.5 21.1 0.3 9.0 5.9 3.6 11.7 0.3 0.1 0.5 0.1 7.3 0.1 7.2 0.0 40.2 100.0
Ladakh 51.3 48.0 16.7 0.4 6.6 7.9 6.2 9.0 0.1 0.1 1.1 0.0 3.3 1.1 2.2 0.0 48.7 100.0
174
Punjab 66.6 50.5 22.8 0.5 1.5 3.0 0.1 22.2 0.0 0.1 0.2 0.1 16.1 11.8 4.3 0.0 33.4 100.0
Rajasthan 72.3 62.1 42.4 0.2 3.1 1.4 0.6 13.7 0.0 0.1 0.5 0.1 10.2 4.9 5.3 0.0 27.7 100.0
Uttarakhand 70.8 57.8 26.0 0.7 2.6 1.5 0.4 25.6 0.0 0.2 0.7 0.2 12.9 6.9 6.0 0.0 29.2 100.0
Central
Chhattisgarh 67.8 61.7 47.5 0.8 2.4 2.8 0.4 4.1 0.0 0.0 3.4 0.3 6.1 3.8 2.3 0.0 32.2 100.0
Madhya Pradesh 71.7 65.5 51.9 0.7 1.9 1.0 0.4 8.1 0.0 0.0 1.2 0.2 6.2 3.8 2.4 0.0 28.3 100.0
Uttar Pradesh 62.4 44.5 16.9 0.1 4.4 1.5 1.1 19.1 0.1 0.1 1.0 0.2 18.0 15.3 2.7 0.0 37.6 100.0
East
Bihar 55.8 44.4 34.8 0.1 2.0 0.8 1.1 4.0 0.0 0.0 1.5 0.1 11.4 8.4 3.0 0.0 44.2 100.0
Jharkhand 61.7 49.5 37.4 0.3 3.1 1.7 0.5 4.1 0.0 0.0 2.3 0.1 12.2 9.0 3.2 0.0 38.3 100.0
Odisha 74.1 48.8 28.0 0.3 10.8 2.6 0.2 5.5 0.0 0.1 1.2 0.0 25.4 9.9 15.4 0.0 25.9 100.0
West Bengal 74.4 60.7 29.4 0.1 20.3 2.2 0.7 7.0 0.0 0.1 0.2 0.8 13.6 5.0 8.6 0.0 25.6 100.0
Continued…

Any Other
Northeast
Assam 60.8 45.3 9.0 0.1 27.5 2.9 0.5 4.9 0.1 0.0 0.2 0.1 15.5 5.7 9.8 0.0 39.2 100.0
Manipur 61.3 18.2 3.7 0.0 4.4 4.9 0.1 4.8 0.0 0.1 0.1 0.1 43.1 8.3 34.8 0.0 38.7 100.0
Meghalaya 27.4 22.5 5.6 0.0 8.3 4.4 1.1 2.7 0.0 0.3 0.1 0.1 4.9 1.2 3.7 0.0 72.6 100.0
Mizoram 31.2 30.8 13.0 0.0 12.9 2.8 0.1 1.9 0.1 0.0 0.0 0.0 0.4 0.0 0.4 0.0 68.8 100.0
Nagaland 57.4 45.3 14.4 0.0 6.4 19.8 0.3 3.3 0.0 0.1 0.5 0.6 12.0 3.5 8.6 0.0 42.6 100.0
Sikkim 69.1 54.9 14.5 1.7 18.2 6.2 3.5 9.3 0.0 0.0 0.3 1.4 14.2 2.9 11.2 0.1 30.9 100.0
Tripura 71.2 49.1 10.5 0.0 32.7 0.4 0.3 3.3 0.0 0.2 1.0 0.6 22.0 11.9 10.2 0.0 28.8 100.0
West
and Daman & Diu 68.0 59.8 41.6 0.2 3.1 2.2 0.9 11.7 0.0 0.0 0.0 0.0 8.2 3.9 4.3 0.0 32.0 100.0
175
Goa 67.9 60.1 29.9 0.0 2.7 2.4 0.0 23.2 0.1 0.0 1.3 0.4 7.8 5.7 2.1 0.0 32.1 100.0
Gujarat 65.3 53.6 35.9 0.2 2.3 3.1 0.1 11.4 0.0 0.0 0.5 0.0 11.7 9.0 2.7 0.0 34.7 100.0
Maharashtra 66.2 63.8 49.1 0.4 1.8 1.9 0.2 10.2 0.0 0.0 0.1 0.0 2.4 0.6 1.8 0.0 33.8 100.0
South
Andaman & Nicobar
Islands 65.8 57.7 39.2 0.2 3.6 3.9 0.3 9.8 0.0 0.0 0.0 0.8 8.0 1.7 6.3 0.0 34.2 100.0
Andhra Pradesh 71.1 70.8 69.6 0.4 0.1 0.1 0.0 0.5 0.0 0.0 0.0 0.0 0.3 0.1 0.2 0.0 28.9 100.0
Karnataka 68.7 68.2 57.4 0.0 2.1 2.9 0.5 4.1 0.2 0.1 0.7 0.1 0.6 0.2 0.4 0.0 31.3 100.0
Kerala 60.7 52.8 46.6 0.1 0.4 1.5 0.0 3.4 0.0 0.0 0.2 0.6 7.9 3.2 4.6 0.0 39.3 100.0
Lakshadweep 52.6 30.1 20.7 0.0 1.2 1.0 0.0 4.1 0.0 0.0 1.7 1.5 22.5 9.6 12.9 0.0 47.4 100.0
Puducherry 66.0 62.1 53.8 0.3 0.5 1.9 0.4 5.0 0.0 0.0 0.1 0.2 3.8 0.4 3.4 0.0 34.0 100.0
Tamil Nadu 68.6 65.5 57.8 0.1 0.3 4.8 0.2 1.8 0.0 0.0 0.3 0.2 3.1 1.0 2.1 0.0 31.4 100.0
Telangana 68.1 66.7 61.9 2.0 0.8 0.5 0.1 0.8 0.0 0.0 0.6 0.0 1.4 0.6 0.8 0.0 31.9 100.0
Note: If more than one method is used, only the most effective method is considered in this table.
IUD = Intrauterine device; PPIUD = Postpartum intrauterine device; LAM = Lactational amenorrhoea method; na = Not available
Table 5.3.1 Current use of contraception by background characteristics
Percent distribution of currently married women by contraceptive method currently used, according to background characteristics, India, 2019-21

Any Other
Any Female Male Emergency Other tradi- tradi- Not Number
Background Any modern sterili- sterili- IUD or Inject- Condom/ Female contra- modern tional With- tional currently of
characteristic method method zation zation Pill PPIUD ables Nirodh condom ception LAM method method Rhythm drawal method using Total women
Schooling
No schooling 70.1 60.2 48.5 0.4 3.7 0.9 0.6 5.2 0.0 0.0 0.6 0.2 10.0 6.9 3.1 0.0 29.9 100.0 143,754
<5 years complete 72.3 63.8 49.0 0.4 7.5 1.4 0.4 4.3 0.0 0.0 0.6 0.2 8.5 4.7 3.8 0.0 27.7 100.0 32,023
5-7 years complete 70.3 60.9 44.4 0.4 5.7 1.7 0.5 7.3 0.0 0.0 0.7 0.2 9.4 5.6 3.8 0.0 29.7 100.0 79,079
8-9 years complete 65.9 54.5 33.7 0.3 6.9 2.4 0.6 9.5 0.0 0.1 0.9 0.2 11.4 6.6 4.8 0.0 34.1 100.0 85,112
10-11 years complete 65.0 55.2 35.3 0.3 5.2 2.7 0.5 10.1 0.0 0.1 0.7 0.2 9.8 5.4 4.4 0.0 35.0 100.0 66,173
12 or more years
complete 60.0 48.9 21.7 0.2 4.2 3.5 0.6 17.4 0.1 0.1 0.9 0.3 11.1 6.5 4.6 0.0 40.0 100.0 115,211
Employment
(past 12 months)
Not employed 64.9 53.4 31.9 0.2 5.8 2.5 0.7 11.1 0.0 0.1 0.9 0.2 11.5 6.9 4.6 0.0 35.1 100.0 52,905
Employed for cash 74.1 66.3 51.6 0.6 4.0 1.9 0.4 7.2 0.0 0.1 0.4 0.2 7.8 4.3 3.5 0.0 25.9 100.0 20,514
176
Employed not for cash 73.5 64.3 50.4 0.4 3.6 1.8 0.6 6.3 0.0 0.0 1.0 0.1 9.2 6.3 3.0 0.0 26.5 100.0 4,310
Religion
Hindu 67.9 58.0 40.6 0.3 4.3 2.1 0.5 9.2 0.0 0.1 0.8 0.2 9.9 6.1 3.8 0.0 32.1 100.0 427,114
Muslim 60.2 47.4 21.8 0.1 10.8 2.0 0.8 10.8 0.0 0.0 0.7 0.3 12.8 7.3 5.6 0.0 39.8 100.0 68,631
Christian 61.8 54.4 41.8 0.4 3.7 3.5 0.3 4.0 0.0 0.0 0.4 0.2 7.3 3.2 4.2 0.0 38.2 100.0 11,391
Sikh 67.9 53.7 25.9 0.5 2.1 3.2 0.1 21.5 0.0 0.1 0.2 0.1 14.3 10.1 4.1 0.0 32.1 100.0 8,080
Buddhist/Neo-Buddhist 67.2 63.9 46.5 0.9 3.2 2.8 0.4 9.8 0.0 0.1 0.2 0.1 3.3 1.2 2.1 0.0 32.8 100.0 3,081
Jain 73.9 67.8 41.2 0.3 1.3 3.7 0.3 19.8 0.0 0.0 0.9 0.3 6.0 3.6 2.5 0.0 26.1 100.0 1,173
Other 59.8 45.3 28.1 0.3 5.5 3.2 0.9 5.2 0.0 0.1 1.9 0.2 14.5 8.7 5.8 0.0 40.2 100.0 1,883
Caste/tribe
Scheduled caste 67.0 57.0 39.8 0.3 4.7 1.9 0.6 8.7 0.0 0.1 0.8 0.2 10.0 6.4 3.6 0.0 33.0 100.0 112,610
Scheduled tribe 64.4 55.1 40.3 0.7 5.0 2.3 0.5 5.0 0.0 0.0 1.2 0.1 9.3 5.0 4.3 0.0 35.6 100.0 47,852
Other backward class 66.4 56.6 40.4 0.3 3.3 2.0 0.6 9.0 0.0 0.0 0.8 0.2 9.8 6.5 3.4 0.0 33.6 100.0 224,682
Other 68.0 56.4 31.3 0.2 8.4 2.5 0.6 12.7 0.0 0.1 0.4 0.3 11.6 6.2 5.4 0.0 32.0 100.0 132,179
Don't know 60.2 49.3 33.7 0.2 5.8 2.0 0.4 6.1 0.0 0.1 0.7 0.4 11.0 6.7 4.2 0.0 39.8 100.0 4,029
Continued…
Table 5.3.1 Current use of contraception by background characteristics—Continued
Percent distribution of currently married women by contraceptive method currently used, according to background characteristics, India, 2019-21

Any Other
Any Female Male Emergency Other tradi- tradi- Not Number
Background Any modern sterili- sterili- IUD or Inject- Condom/ Female contra- modern tional With- tional currently of
characteristic method method zation zation Pill PPIUD ables Nirodh condom ception LAM method method Rhythm drawal method using Total women
Wealth quintile
Lowest 62.2 50.7 34.5 0.3 7.2 1.5 0.7 4.9 0.0 0.0 1.3 0.2 11.5 7.5 4.1 0.0 37.8 100.0 97,962
Second 66.1 55.5 38.4 0.3 6.7 1.6 0.7 6.6 0.0 0.0 0.9 0.2 10.6 6.6 4.0 0.0 33.9 100.0 104,135
Middle 67.7 58.3 42.3 0.3 4.8 1.9 0.5 7.5 0.0 0.0 0.6 0.2 9.4 5.5 3.9 0.0 32.3 100.0 106,487
Fourth 67.8 58.5 40.5 0.3 3.9 2.4 0.5 10.2 0.0 0.0 0.5 0.2 9.3 5.3 4.0 0.0 32.2 100.0 108,247
Highest 69.4 58.7 33.4 0.3 2.9 3.1 0.4 17.8 0.0 0.1 0.4 0.3 10.7 6.5 4.2 0.0 30.6 100.0 104,520
Number of living
children
No children 16.8 11.5 0.5 0.0 1.8 0.2 0.1 8.7 0.1 0.0 0.0 0.0 5.3 2.8 2.5 0.0 83.2 100.0 50,312
1 child 51.7 37.8 8.3 0.1 8.0 4.1 0.7 14.7 0.0 0.1 1.4 0.3 13.9 7.4 6.5 0.0 48.3 100.0 103,312
1 son 54.5 40.2 10.0 0.1 8.2 4.2 0.8 15.1 0.0 0.1 1.3 0.4 14.4 7.6 6.7 0.0 45.5 100.0 58,871
No sons 48.0 34.7 6.0 0.1 7.8 3.9 0.6 14.2 0.0 0.1 1.6 0.2 13.4 7.1 6.2 0.0 52.0 100.0 44,441
177
2 children 78.2 68.7 50.0 0.4 5.1 2.3 0.5 9.4 0.0 0.1 0.6 0.2 9.5 5.7 3.9 0.0 21.8 100.0 194,678
2 sons 81.2 73.0 57.6 0.4 4.2 1.8 0.4 8.0 0.0 0.0 0.5 0.2 8.2 4.9 3.3 0.0 18.8 100.0 58,981
1 son 79.4 69.4 49.9 0.4 5.3 2.4 0.5 9.9 0.0 0.1 0.6 0.2 10.0 6.0 4.0 0.0 20.6 100.0 107,276
No sons 67.9 57.4 34.7 0.3 6.6 2.8 0.7 10.9 0.0 0.1 1.2 0.2 10.5 6.0 4.4 0.0 32.1 100.0 28,420
3 children 79.7 70.6 56.2 0.4 4.2 1.4 0.6 6.9 0.0 0.0 0.6 0.2 9.1 6.2 3.0 0.0 20.3 100.0 101,585
3 sons 81.7 73.6 61.1 0.4 3.7 1.2 0.6 5.6 0.0 0.0 0.5 0.3 8.1 5.6 2.5 0.0 18.3 100.0 11,313
2 sons 83.1 75.2 63.2 0.3 3.6 1.1 0.5 5.9 0.0 0.0 0.4 0.2 7.9 5.5 2.5 0.0 16.9 100.0 43,029
1 son 78.4 68.0 51.7 0.4 4.5 1.8 0.7 8.0 0.0 0.0 0.7 0.2 10.3 6.9 3.4 0.0 21.6 100.0 39,043
No sons 66.0 54.7 34.3 0.3 6.4 2.1 0.6 9.4 0.0 0.1 1.4 0.2 11.4 7.0 4.3 0.0 34.0 100.0 8,201
4 or more children 73.6 61.6 48.0 0.4 4.3 1.1 0.7 6.0 0.0 0.0 0.7 0.2 12.1 8.7 3.4 0.0 26.4 100.0 71,449
2 or more sons 74.6 62.8 50.2 0.4 4.2 0.9 0.7 5.6 0.0 0.0 0.5 0.2 11.8 8.6 3.2 0.0 25.4 100.0 48,434
1 son 73.8 61.5 46.5 0.4 4.4 1.5 0.8 6.8 0.0 0.0 0.8 0.2 12.3 8.7 3.6 0.0 26.2 100.0 19,503
No sons 58.8 44.0 26.6 0.5 5.6 1.7 0.5 7.1 0.0 0.1 1.6 0.2 14.7 9.7 5.0 0.0 41.2 100.0 3,511
Total 66.7 56.4 37.9 0.3 5.1 2.1 0.6 9.5 0.0 0.1 0.7 0.2 10.3 6.2 4.0 0.0 33.3 100.0 521,352
IUD = Intrauterine device; PPIUD = Postpartum intrauterine device; LAM = Lactational amenorrhoea method
Table 5.3.2 Contraceptive use by men with last partner
Percent distribution of currently married men and sexually active unmarried men age 15-49 by contraceptive method used the last time they had sex, according to type of sexual partner and background

Any Other
Any Female Male Other tradi- tradi- Not
Any modern sterili- sterili- IUD or Inject- Condom/ Female modern tional With- tional currently Number
Background characteristic method method zation zation Pill PPIUD ables Nirodh condom method method Rhythm drawal method using Total of men
Type of sexual partner

Currently married 31.5 24.3 11.5 0.4 4.9 0.9 0.3 5.7 0.1 0.4 7.2 2.7 4.4 0.1 68.5 100.0 55,475
Wife 34.2 26.5 12.5 0.4 5.2 1.0 0.4 6.4 0.1 0.5 7.7 2.9 4.7 0.0 65.8 100.0 48,634
Live-in partner/
girlfriend 31.6 26.0 4.4 0.0 0.4 1.6 0.0 17.9 1.8 0.0 5.6 2.2 3.4 0.0 68.4 100.0 169
Other 11.9 8.9 4.7 0.5 3.0 0.4 0.1 0.1 0.0 0.1 3.0 0.6 2.2 0.1 88.1 100.0 6,672
Not currently married 56.8 49.6 0.5 0.0 3.6 0.0 0.0 44.9 0.5 0.1 7.2 2.2 4.9 0.0 43.2 100.0 3,420
Live-in partner 49.8 46.7 1.4 0.0 2.8 0.0 0.0 39.5 2.9 0.1 3.2 1.3 1.8 0.0 50.2 100.0 291
Girlfriend 57.9 50.1 0.0 0.0 3.9 0.0 0.0 45.8 0.3 0.1 7.8 2.5 5.3 0.0 42.1 100.0 2,193
Other 56.3 49.4 1.5 0.0 3.2 0.1 0.0 44.5 0.2 0.0 6.9 1.8 5.0 0.1 43.7 100.0 936
178
Age
15-19 42.2 35.5 0.0 0.0 4.7 0.0 0.0 30.7 0.1 0.0 6.7 2.1 4.6 0.0 57.8 100.0 975
20-24 33.5 24.2 0.4 0.1 4.1 0.6 0.2 18.4 0.1 0.3 9.4 3.7 5.6 0.1 66.5 100.0 4,317
25-29 29.8 20.1 3.7 0.1 4.9 0.8 0.4 9.6 0.2 0.3 9.7 3.4 6.3 0.0 70.2 100.0 8,958
30-34 31.4 24.0 7.6 0.3 5.6 1.2 0.3 8.5 0.1 0.4 7.4 2.9 4.4 0.1 68.6 100.0 11,264
35-39 34.5 27.8 13.4 0.4 5.1 1.0 0.4 6.9 0.1 0.4 6.7 2.5 4.2 0.0 65.5 100.0 12,273
40-44 34.2 28.0 16.0 0.7 4.6 0.7 0.3 5.2 0.1 0.4 6.2 2.2 4.0 0.0 65.8 100.0 10,392
45-49 33.2 27.8 17.7 0.7 4.3 0.7 0.3 3.6 0.1 0.4 5.4 2.1 3.3 0.1 66.8 100.0 10,716
Residence
Urban 34.1 26.3 10.2 0.2 3.9 0.9 0.3 10.2 0.2 0.5 7.8 2.6 5.2 0.0 65.9 100.0 19,788
Rural 32.4 25.5 11.2 0.5 5.4 0.8 0.4 6.8 0.1 0.4 6.8 2.7 4.1 0.1 67.6 100.0 39,107
Continued…
Table 5.3.2 Contraceptive use by men with last partner—Continued

Any Other
Schooling
No schooling 27.6 21.7 13.0 0.6 4.4 0.3 0.2 3.1 0.0 0.2 5.9 2.6 3.2 0.1 72.4 100.0 8,327
<5 years complete 33.0 26.4 12.8 0.6 7.3 0.9 0.1 4.6 0.0 0.2 6.7 1.6 5.1 0.0 67.0 100.0 4,949
5-7 years complete 32.7 25.4 13.0 0.3 6.0 0.7 0.3 4.6 0.2 0.4 7.2 2.7 4.5 0.0 67.3 100.0 9,086
8-9 years complete 33.7 25.6 11.2 0.3 4.7 1.1 0.3 7.5 0.1 0.4 8.0 2.8 5.0 0.1 66.3 100.0 10,927
10-11 years complete 31.4 23.9 10.9 0.5 3.4 0.9 0.3 7.5 0.2 0.3 7.5 3.0 4.5 0.0 68.6 100.0 9,329
12 or more years
complete 36.3 29.1 7.9 0.4 4.7 1.1 0.5 13.9 0.1 0.6 7.1 2.6 4.5 0.1 63.7 100.0 16,277
Marital status
Never married 58.6 51.5 0.2 0.0 3.6 0.0 0.0 47.1 0.5 0.1 7.0 2.0 5.0 0.0 41.4 100.0 3,209
179
Currently married 31.5 24.3 11.5 0.4 4.9 0.9 0.3 5.7 0.1 0.4 7.2 2.7 4.4 0.1 68.5 100.0 55,475
Widowed/divorced/
separated/deserted 29.3 20.3 5.8 0.2 2.8 0.2 0.0 11.3 0.0 0.0 8.9 5.0 3.9 0.0 70.7 100.0 211
Religion
Hindu 32.7 25.7 11.7 0.4 4.0 0.8 0.3 7.9 0.1 0.4 7.0 2.8 4.1 0.1 67.3 100.0 46,974
Muslim 34.1 26.1 6.8 0.2 9.7 1.0 0.5 7.4 0.1 0.3 8.0 2.1 5.9 0.0 65.9 100.0 8,941
Christian 28.0 21.0 10.0 0.5 3.8 1.3 0.1 5.0 0.0 0.3 7.0 1.3 5.7 0.0 72.0 100.0 1,440
Sikh 35.1 29.1 6.7 0.7 1.8 1.4 0.1 18.5 0.0 0.0 6.0 3.1 2.7 0.1 64.9 100.0 548
Buddhist/Neo-Buddhist 46.5 38.6 14.7 1.1 4.2 0.6 0.8 16.5 0.5 0.3 7.8 0.6 7.2 0.0 53.5 100.0 660
Jain 35.2 25.7 13.8 0.0 5.4 0.0 0.0 6.2 0.0 0.3 9.5 3.1 6.4 0.0 64.8 100.0 153
Other 37.5 24.0 17.4 0.0 1.5 1.4 0.2 2.9 0.1 0.6 13.5 3.5 10.0 0.0 62.5 100.0 179
Continued…
Table 5.3.2 Contraceptive use by men with last partner—Continued

Any Other
Caste/tribe
Scheduled caste 33.9 26.5 11.5 0.4 5.3 0.8 0.2 7.7 0.2 0.4 7.4 2.8 4.6 0.0 66.1 100.0 12,404
Scheduled tribe 33.8 24.4 12.7 0.8 4.4 0.8 0.2 5.3 0.1 0.3 9.4 4.0 5.3 0.1 66.2 100.0 5,628
Other backward class 30.8 24.2 11.4 0.4 3.1 0.8 0.3 7.5 0.1 0.5 6.6 2.6 3.9 0.1 69.2 100.0 24,313
Other 35.4 28.3 9.1 0.3 7.3 1.1 0.4 9.7 0.1 0.3 7.1 2.2 4.9 0.0 64.6 100.0 16,242
Don't know 24.4 19.5 5.2 0.0 5.0 0.1 1.3 7.4 0.0 0.4 4.9 0.2 4.8 0.0 75.6 100.0 308
Wealth quintile
Lowest 31.3 22.8 10.0 0.5 6.4 0.4 0.3 4.8 0.1 0.4 8.5 3.5 5.0 0.1 68.7 100.0 10,381
Second 33.0 25.8 10.5 0.5 7.3 0.8 0.4 6.0 0.1 0.3 7.2 2.8 4.3 0.1 67.0 100.0 11,721
Middle 30.3 23.7 11.6 0.4 4.1 0.8 0.3 6.1 0.0 0.3 6.6 2.3 4.2 0.1 69.7 100.0 12,433
180
Fourth 34.2 27.3 12.0 0.4 3.5 1.0 0.2 9.5 0.2 0.5 7.0 2.3 4.7 0.0 65.8 100.0 12,927
Highest 35.8 29.1 10.1 0.3 3.3 1.3 0.5 13.1 0.2 0.4 6.7 2.5 4.2 0.0 64.2 100.0 11,433
Total age 15-49 33.0 25.8 10.9 0.4 4.9 0.9 0.3 8.0 0.1 0.4 7.2 2.6 4.5 0.1 67.0 100.0 58,895
Age 50-54 30.5 25.2 18.2 0.6 3.1 0.4 0.2 2.5 0.1 0.3 5.3 2.1 3.1 0.1 69.5 100.0 8,307
Total age 15-54 32.7 25.7 11.8 0.4 4.6 0.8 0.3 7.3 0.1 0.4 6.9 2.6 4.3 0.1 67.3 100.0 67,202

Table 5.4 Knowledge of contraceptive methods among adolescents
Percentage of women and men age 15-24 who know at least one contraceptive method, who know at least one modern method and
who know any modern temporary method by background characteristics, India, 2019-21
Women Men
Know any Know any
Know any modern Know any modern
Know any modern temporary Number of Know any modern temporary Number of
Background characteristic method method1 method2 women method method1 method2 men
Age
15-19 95.3 95.2 87.8 122,544 96.3 96.2 94.8 16,385
20-24 98.9 98.9 96.6 119,440 99.1 99.0 98.5 14,384
Residence
Urban 97.4 97.3 93.2 71,098 98.4 98.4 97.8 10,538
Rural 97.0 96.9 91.7 170,885 97.2 97.1 95.8 20,231
Schooling
No schooling 96.9 96.7 90.2 15,889 96.3 96.3 94.7 1,415
<5 years complete 96.8 96.5 90.2 5,534 97.1 97.0 94.5 946
5-7 years complete 95.3 95.2 88.5 22,998 95.1 95.0 93.9 2,718
8-9 years complete 95.8 95.7 89.2 59,584 96.3 96.2 95.0 7,558
10-11 years complete 96.8 96.7 91.4 55,620 97.6 97.5 96.3 7,086
Marital status
Never married 95.7 95.6 89.0 153,739 97.4 97.3 96.2 27,478
Currently married 99.5 99.4 97.6 86,991 99.5 99.5 99.0 3,226
Widowed/divorced/
separated/deserted 98.1 98.0 95.0 1,253 100.0 100.0 95.0 64
Religion
Hindu 97.4 97.3 92.4 194,339 97.7 97.6 96.7 23,910
Muslim 96.0 95.9 91.4 36,882 97.5 97.4 96.2 5,365
Christian 96.8 96.8 91.0 4,968 94.6 94.2 93.3 740
Sikh 93.2 93.1 86.9 3,179 96.3 96.2 95.3 304
Buddhist/Neo-Buddhist 97.1 97.1 94.1 1,278 98.6 98.6 98.1 294
Jain 98.9 98.9 96.8 422 100.0 100.0 99.8 76
Other 97.2 97.2 90.2 916 98.9 98.6 98.6 81
Caste/tribe
Scheduled caste 97.1 97.0 91.8 55,474 97.6 97.6 96.6 6,108
Scheduled tribe 96.9 96.8 91.2 23,285 97.0 97.0 96.2 2,861
Other 96.7 96.7 93.0 56,655 97.1 97.0 96.2 8,366
Don't know 94.1 94.0 88.4 1,543 92.3 90.8 89.9 176
Wealth quintile
Lowest 96.0 95.9 89.7 48,714 96.5 96.3 95.1 5,521
Second 96.9 96.8 91.3 52,765 97.8 97.7 96.6 6,687
Middle 97.4 97.3 92.5 50,831 97.3 97.2 96.1 6,580
Fourth 97.5 97.4 93.0 48,409 98.0 98.0 97.1 6,318
Highest 97.8 97.7 94.6 41,264 98.4 98.4 97.7 5,663
Total 97.1 97.0 92.1 241,983 97.6 97.5 96.5 30,769

1
Female sterilization, male sterilization, pill, IUD/PPIUD, injectables, male condom, female condom, emergency contraception, lactational amenorrhoea
method (LAM), and other modern methods
2
Pill, IUD/PPIUD, injectables, male condom, female condom, emergency contraception, lactational amenorrhoea method (LAM), and other modern
methods
181
Table 5.5 Current use of contraception by age
Percent distribution of currently married women and sexually active unmarried women age 15-49 by contraceptive method currently used, according to residence and age, India, 2019-21

Any Other
Any modern sterili- sterili- IUD or Inject- Condom/ Female contra- modern tional With- tional currently Number
Age method method zation zation Pill PPIUD ables Nirodh condom ception LAM method method Rhythm drawal method using Total of women
CURRENTLY MARRIED WOMEN - URBAN
15-19 29.1 20.1 0.6 0.0 4.3 2.3 0.2 10.5 0.1 0.0 2.0 0.1 9.0 3.4 5.6 0.0 70.9 100.0 2,522
20-24 45.3 33.8 6.6 0.0 5.2 4.0 0.8 15.3 0.1 0.0 1.7 0.0 11.5 5.9 5.5 0.0 54.7 100.0 16,942
25-29 60.3 49.3 20.0 0.1 5.2 3.9 0.7 18.4 0.0 0.1 0.9 0.1 11.0 6.0 5.0 0.0 39.7 100.0 30,878
30-34 73.4 61.6 33.4 0.3 5.4 3.5 0.4 17.7 0.1 0.1 0.5 0.3 11.8 6.6 5.2 0.0 26.6 100.0 31,561
35-39 79.8 68.1 45.6 0.3 4.9 2.4 0.3 13.9 0.0 0.1 0.2 0.3 11.6 6.7 4.9 0.0 20.2 100.0 31,097
40-44 78.2 67.4 51.9 0.3 3.2 1.7 0.3 9.4 0.0 0.1 0.0 0.4 10.8 6.5 4.3 0.0 21.8 100.0 25,669
45-49 73.2 65.5 56.5 0.4 1.9 0.8 0.2 5.3 0.0 0.0 0.0 0.4 7.7 4.9 2.8 0.0 26.8 100.0 24,726
Total 69.3 58.5 36.3 0.2 4.3 2.7 0.4 13.6 0.0 0.1 0.5 0.3 10.7 6.1 4.6 0.0 30.7 100.0 163,394
CURRENTLY MARRIED WOMEN - RURAL
15-19 27.9 18.5 0.4 0.0 5.0 2.0 0.4 9.2 0.1 0.0 1.3 0.0 9.5 5.3 4.2 0.0 72.1 100.0 12,885
182
20-24 41.7 31.2 8.3 0.0 6.4 2.8 0.8 10.6 0.0 0.0 2.3 0.0 10.5 6.3 4.2 0.0 58.3 100.0 54,642
25-29 61.1 49.4 26.4 0.2 7.1 2.6 0.9 10.6 0.0 0.0 1.4 0.1 11.7 7.1 4.6 0.0 38.9 100.0 71,379
30-34 73.7 62.7 42.9 0.3 6.7 2.2 0.8 8.9 0.0 0.1 0.6 0.2 11.0 6.9 4.1 0.0 26.3 100.0 62,386
35-39 78.4 68.1 52.8 0.6 5.6 1.5 0.6 6.5 0.0 0.0 0.2 0.3 10.3 6.6 3.7 0.0 21.6 100.0 59,587
40-44 76.7 67.4 57.6 0.6 3.3 0.9 0.4 4.2 0.0 0.0 0.1 0.2 9.3 6.3 3.1 0.0 23.3 100.0 48,037
45-49 71.5 65.0 59.2 0.5 2.1 0.4 0.2 2.3 0.0 0.0 0.0 0.3 6.5 4.4 2.1 0.0 28.5 100.0 49,042
Total 65.6 55.5 38.6 0.3 5.4 1.8 0.6 7.6 0.0 0.0 0.8 0.2 10.0 6.3 3.7 0.0 34.4 100.0 357,957
CURRENTLY MARRIED WOMEN - TOTAL
15-19 28.1 18.8 0.4 0.0 4.9 2.1 0.4 9.5 0.1 0.0 1.5 0.0 9.4 5.0 4.4 0.0 71.9 100.0 15,407
20-24 42.5 31.8 7.9 0.0 6.1 3.1 0.8 11.7 0.0 0.0 2.1 0.0 10.7 6.2 4.5 0.0 57.5 100.0 71,584
25-29 60.9 49.4 24.5 0.1 6.5 3.0 0.8 13.0 0.0 0.0 1.3 0.1 11.5 6.8 4.7 0.0 39.1 100.0 102,257
30-34 73.6 62.3 39.7 0.3 6.3 2.6 0.7 11.8 0.0 0.1 0.6 0.2 11.2 6.8 4.5 0.0 26.4 100.0 93,946
35-39 78.9 68.1 50.3 0.5 5.3 1.8 0.5 9.1 0.0 0.1 0.2 0.3 10.8 6.6 4.1 0.0 21.1 100.0 90,684
40-44 77.2 67.4 55.6 0.5 3.3 1.2 0.3 6.0 0.0 0.0 0.1 0.3 9.8 6.3 3.5 0.0 22.8 100.0 73,706
45-49 72.1 65.2 58.3 0.5 2.1 0.5 0.2 3.3 0.0 0.0 0.0 0.3 6.9 4.5 2.3 0.0 27.9 100.0 73,768
Total 66.7 56.4 37.9 0.3 5.1 2.1 0.6 9.5 0.0 0.1 0.7 0.2 10.3 6.2 4.0 0.0 33.3 100.0 521,352
Continued…
Table 5.5 Current use of contraception by age—Continued
Percent distribution of currently married women and sexually active unmarried women age 15-49 by contraceptive method currently used, according to residence and age, India, 2019-21

Any Other
Any modern sterili- sterili- IUD or Inject- Condom/ Female contra- modern tional With- tional currently Number
Age method method zation zation Pill PPIUD ables Nirodh condom ception LAM method method Rhythm drawal method using Total of women
SEXUALLY ACTIVE UNMARRIED WOMEN1 - URBAN
15-19 52.5 49.4 0.0 0.0 0.0 0.0 0.0 47.9 0.0 1.5 0.0 0.0 3.1 3.1 0.0 0.0 47.5 100.0 44
20-24 56.8 52.3 4.5 0.0 0.0 0.0 0.0 47.8 0.0 0.0 0.0 0.0 4.5 2.6 1.9 0.0 43.2 100.0 69
25-49 65.7 64.4 31.4 0.0 1.4 0.2 0.0 31.0 0.4 0.0 0.0 0.0 1.3 0.9 0.4 0.0 34.3 100.0 198
Total 61.9 59.6 21.0 0.0 0.9 0.2 0.0 37.1 0.3 0.2 0.0 0.0 2.2 1.6 0.7 0.0 38.1 100.0 312
SEXUALLY ACTIVE UNMARRIED WOMEN1 - RURAL
15-19 43.1 37.6 0.0 0.0 2.4 0.1 1.1 33.0 0.0 1.0 0.0 0.0 5.5 0.8 4.7 0.0 56.9 100.0 169
20-24 39.0 35.6 2.0 0.0 3.2 0.0 0.0 28.9 0.2 1.3 0.0 0.0 3.4 1.0 2.4 0.0 61.0 100.0 110
25-49 61.7 55.7 45.5 0.0 1.2 0.2 0.5 7.8 0.0 0.0 0.5 0.0 6.0 3.5 2.6 0.0 38.3 100.0 244
Total 50.9 45.6 21.6 0.0 2.0 0.1 0.6 20.4 0.0 0.6 0.2 0.0 5.3 2.1 3.2 0.0 49.1 100.0 523
183
SEXUALLY ACTIVE UNMARRIED WOMEN1 - TOTAL
15-19 45.0 40.0 0.0 0.0 1.9 0.1 0.8 36.1 0.0 1.1 0.0 0.0 5.0 1.3 3.7 0.0 55.0 100.0 214
20-24 45.9 42.1 3.0 0.0 2.0 0.0 0.0 36.2 0.1 0.8 0.0 0.0 3.8 1.6 2.2 0.0 54.1 100.0 179
25-49 63.5 59.6 39.2 0.0 1.3 0.2 0.3 18.2 0.2 0.0 0.3 0.0 3.9 2.3 1.6 0.0 36.5 100.0 442
Total 55.0 50.8 21.4 0.0 1.6 0.1 0.4 26.6 0.1 0.5 0.1 0.0 4.2 1.9 2.3 0.0 45.0 100.0 835
IUD = Intrauterine device; PPIUD = Postpartum intrauterine device; LAM = Lactational amenorrhoea method
1 Unmarried women who had sexual intercourse in the 30 days preceding the survey
Table 5.6 Timing of sterilization
Percent distribution of sterilized women, wives of sterilized men, and sterilized men by age at the time of sterilization (for NFHS-5), and median age at the time of sterilization (for
NFHS-5 and NFHS-4), according to the number of years since the sterilization, India, 2019-21
Age at time of sterilization Median age1

Years since Don't know/ NFHS-5 NFHS-4
sterilization <20 20-24 25-29 30-34 35-39 40-44 45-49 missing Total Number (2019-21) (2015-16)
STERILIZED WOMEN
<2 1.0 30.2 39.6 19.1 7.3 1.9 0.9 na 100.0 15,775 27.0 26.5
2-3 1.1 32.6 37.5 19.4 6.3 2.4 0.6 na 100.0 17,219 26.7 26.4
4-5 1.5 34.2 34.5 20.1 7.0 2.5 0.1 na 100.0 19,135 26.6 26.6
6-7 1.7 35.7 35.6 18.1 7.0 2.0 0.0 na 100.0 19,761 26.6 26.5
8-9 2.1 34.4 35.7 18.9 8.1 0.9 0.0 na 100.0 19,459 26.7 26.6
10 or more 3.7 45.6 35.9 12.8 2.0 0.0 a na 100.0 118,982 a a
Total 2.7 40.4 36.1 15.6 4.2 0.8 0.1 na 100.0 210,331 25.7 25.7
WIVES OF STERILIZED MEN
184
<10 0.7 23.8 41.1 22.4 7.8 3.5 0.7 na 100.0 635 27.7 27.3
10 or more 3.9 39.3 39.2 15.1 2.6 0.0 a na 100.0 996 a a
Total 2.7 33.2 39.9 17.9 4.6 1.4 0.3 na 100.0 1,630 26.5 26.5
STERILIZED MEN
<10 0.0 7.8 19.4 26.4 19.6 6.9 1.9 18.1 100.0 135 30.5 31.4
10 or more 0.6 19.7 31.1 29.0 18.9 0.6 a 0.0 100.0 165 a a
Total 0.3 14.4 25.8 27.8 19.2 3.4 0.8 8.1 100.0 300 30.1 30.9
1To avoid censoring, median age is calculated only for sterilizations that took place when the respondent was less than 40 years old.
na = Not applicable
Table 5.7 Compensation for sterilization and PPIUD
Among women age 15-49 who are sterilized, percentage who received compensation for the sterilization and among women with a
child below 3 years of age who are using a PPIUD, percentage who received compensation for using a PPIUD, by background
characteristics according to residence, India, 2019-21
Percentage of sterilized women who received Percentage of women using a PPIUD who received
compensation compensation
Number of
Number of women
sterilized using a
Background characteristic Urban Rural Total women Urban Rural Total PPIUD
Age
15-24 49.7 53.2 52.5 5,744 3.4 16.7 12.0 112
25-34 49.3 63.5 59.7 63,990 8.7 18.2 15.5 1,211
35 and over 44.1 58.5 53.8 140,598 7.9 14.7 12.3 3,423
Schooling
No schooling 54.7 62.4 61.0 75,689 8.6 17.4 15.4 452
<5 years complete 56.6 64.5 62.6 17,039 16.9 20.1 19.4 186
5-7 years complete 54.0 61.9 59.6 37,423 7.0 16.1 13.4 550
8-9 years complete 50.9 59.8 56.9 30,031 8.6 15.3 13.3 906
10-11 years complete 40.7 52.4 47.3 24,409 7.8 12.1 10.8 780
Religion
Hindu 47.0 61.1 57.0 184,456 8.8 16.4 13.8 3,886
Muslim 40.9 48.6 44.9 15,800 5.2 14.4 10.7 585
Christian 39.6 53.2 48.1 5,206 5.3 13.5 10.9 151
Sikh 29.3 39.3 36.9 2,219 0.0 6.5 5.6 68
Buddhist/Neo-Buddhist 39.3 54.1 48.4 1,591 0.0 0.6 0.3 17
Jain 13.5 42.0 22.3 495 0.0 0.0 0.0 18
Other 43.1 71.8 66.2 565 28.7 4.2 5.3 21
Caste/tribe
Scheduled caste 55.0 64.2 61.7 48,254 9.2 18.8 15.9 1,105
Scheduled tribe 50.5 69.0 66.5 20,622 4.6 15.3 14.0 505
Other 36.9 52.1 46.1 43,677 5.3 12.9 9.9 1,153
Don't know 47.0 62.3 57.8 1,446 22.1 7.2 13.0 46
Wealth quintile
Lowest 68.5 69.9 69.8 35,805 17.3 15.6 15.7 794
Second 63.3 63.5 63.4 42,857 6.9 17.2 15.8 879
Middle 54.1 58.0 57.1 48,632 11.1 19.0 16.7 1,017
Fourth 49.5 51.7 50.8 46,677 8.1 13.1 10.9 1,093
Highest 34.3 42.1 36.5 36,360 6.0 9.9 7.2 963
Total 45.6 59.9 55.6 210,331 8.0 15.7 13.1 4,746
PPIUD = Postpartum intrauterine device
185
Table 5.8 Compensation for sterilization and PPIUD by state/union territory
Among women age 15-49 who are sterilized, percentage who received compensation for the sterilization and among
women with a child below 3 years of age who are using a PPIUD, percentage who received compensation for using a
PPIUD, by state/union territory according to residence, India, 2019-21
Percentage of sterilized women who Percentage of women using a PPIUD who

received compensation received compensation
India 45.6 59.9 55.6 8.0 15.7 13.1
North
Chandigarh 34.9 0.0 34.5 0.0 - 0.0
Delhi 41.6 51.1 41.8 4.8 0.0 4.6
Haryana 41.2 47.2 45.8 7.0 6.6 6.7
Jammu & Kashmir 25.5 29.5 28.4 8.7 7.1 7.7
Ladakh 12.9 28.1 25.2 39.1 4.6 8.5
Punjab 28.8 36.8 34.5 7.7 4.8 5.8
Rajasthan 57.2 65.3 63.7 10.6 16.9 15.1
Uttarakhand 44.8 67.6 62.6 0.0 9.4 5.6
Central
Chhattisgarh 57.6 69.5 66.8 14.8 11.8 12.5
Madhya Pradesh 69.4 79.4 77.2 1.9 25.6 18.7
Uttar Pradesh 55.5 65.8 63.8 5.2 11.5 9.6
East
Bihar 43.1 54.3 52.8 0.0 6.6 5.5
Jharkhand 45.9 55.1 53.0 7.3 15.7 14.2
Odisha 69.8 78.1 76.8 34.8 18.9 20.1
West Bengal 51.4 65.9 61.8 2.9 20.4 16.0
Northeast
Assam 40.0 64.0 60.4 5.5 10.6 10.1
Manipur 20.2 34.9 28.5 20.6 0.9 7.6
Meghalaya 16.5 19.0 18.4 0.0 5.9 5.2
Mizoram 32.8 35.5 33.9 13.6 17.8 15.4
Nagaland 30.3 30.9 30.7 6.9 12.8 11.3
Sikkim 23.1 47.5 38.5 0.0 8.7 8.0
Tripura 58.0 57.3 57.5 nc 0.0 0.0
West
Daman & Diu 47.9 65.9 59.3 40.2 9.5 22.3
Goa 37.0 31.3 35.2 0.0 nc 0.0
Gujarat 51.7 68.6 62.9 8.6 12.6 10.8
Maharashtra 34.1 48.5 42.6 0.0 5.9 3.8
South
Andhra Pradesh 45.2 55.4 52.4 0.0 0.0 0.0
Karnataka 41.7 52.8 48.5 3.7 20.7 12.5
Kerala 29.4 31.1 30.4 0.0 0.0 0.0
Lakshadweep 6.2 14.2 7.8 nc nc nc
Puducherry 49.6 56.1 51.8 40.0 27.8 37.4
Tamil Nadu 51.6 65.2 59.0 14.4 20.9 18.1
Telangana 33.9 45.3 41.3 2.9 5.4 3.6
nc = No cases
186
Table 5.9 Source of modern contraceptive methods
Percent distribution of women age 15-49 who are current users of modern contraceptive methods by most recent source of the method, according
to residence, India, 2019-21
Female Male IUD or Inject- Condom/ Emergency All modern

Most recent source of method sterilization sterilization Pill PPIUD ables Nirodh contraception methods1
URBAN
Public health sector 70.7 80.6 29.2 66.4 52.6 17.5 13.6 55.1
Government/municipal hospital 46.9 51.2 8.9 44.4 20.9 5.9 5.6 34.4
Vaidya/hakim/homeopath (AYUSH) 0.0 0.0 0.0 0.0 0.0 0.0 0.6 0.0
Government dispensary 2.2 1.6 1.1 3.1 4.6 1.3 3.4 2.0
UHC/UHP/UFWC 2.9 2.3 0.6 3.0 1.0 0.4 0.5 2.1
CHC/rural hospital/Block PHC 11.7 14.5 3.7 8.8 13.0 2.0 2.6 8.8
PHC/Additional PHC 5.1 3.7 1.7 4.0 4.2 1.3 0.0 3.9
Sub-centre/ANM 0.2 0.4 4.8 1.2 5.4 0.9 0.0 0.8
Government mobile clinic 0.1 0.0 0.5 0.3 0.3 0.6 0.0 0.2
Camp 1.6 6.4 0.1 0.1 0.0 0.1 0.0 1.1
Anganwadi/ICDS centre 0.0 0.0 2.8 0.7 2.0 2.4 1.0 0.8
ASHA 0.0 0.0 4.7 0.8 1.0 2.2 0.0 0.9
Other community-based worker 0.0 0.0 0.1 0.0 0.2 0.0 0.0 0.0
Other public health sector 0.1 0.6 0.3 0.0 0.0 0.3 0.0 0.2
NGO or trust hospital/clinic 0.5 0.7 0.1 0.4 0.1 0.3 0.0 0.4
Private health sector 28.3 18.0 55.6 32.6 43.3 48.1 72.0 35.1
Private hospital 26.6 16.4 5.6 27.0 26.0 3.5 2.5 19.7
Private doctor/clinic 1.3 0.7 10.7 4.8 14.5 9.3 18.8 4.1
Private mobile clinic 0.0 0.0 0.9 0.0 0.3 0.7 0.0 0.3
Traditional healer 0.0 0.0 0.2 0.0 0.1 0.1 0.0 0.1
Pharmacy/drug store 0.0 0.0 37.7 0.3 2.1 34.0 50.8 10.6
Dai (TBA) 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Other private medical sector 0.3 1.0 0.5 0.5 0.2 0.3 0.0 0.3
Other source 0.2 0.5 14.9 0.7 4.0 34.1 14.4 9.1
Shop 0.0 0.0 7.3 0.3 1.0 7.3 0.4 2.2
Husband 0.0 0.0 7.1 0.1 2.7 25.6 10.7 6.4
Friend/relative 0.0 0.0 0.2 0.2 0.0 0.9 3.2 0.2
Other 0.2 0.5 0.3 0.0 0.2 0.3 0.0 0.2
Don't know 0.0 0.1 0.0 0.0 0.0 0.0 0.0 0.0
Missing 0.2 0.0 0.1 0.0 0.0 0.0 0.0 0.2
Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Number of users 63,835 408 7,188 4,470 727 22,895 134 99,747
Continued…
187
Table 5.9 Source of modern contraceptive methods—Continued

RURAL
UHC/UHP/UFWC 1.6 1.2 0.1 1.1 0.4 0.1 0.6 1.2
Sub-centre/ANM 0.6 0.7 11.2 3.7 8.6 3.1 5.3 2.1
Camp 3.9 6.8 0.1 0.2 0.3 0.2 0.0 2.9
ASHA 0.0 0.0 14.4 1.2 4.4 10.3 3.7 2.9
Dai (TBA) 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Other source 0.2 0.2 13.1 0.3 4.3 33.5 12.1 6.0
Shop 0.0 0.0 5.3 0.1 2.3 6.1 2.9 1.4
Husband 0.0 0.0 7.2 0.1 1.1 26.1 5.9 4.3
Friend/relative 0.0 0.0 0.2 0.0 0.0 1.1 3.2 0.2
Other 0.2 0.2 0.3 0.1 0.9 0.2 0.1 0.2
Don't know 0.0 0.1 0.0 0.0 0.0 0.0 0.0 0.0
Missing 0.2 0.0 0.1 0.0 0.0 0.1 0.0 0.2
Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Number of users 146,496 1,222 19,510 6,637 2,241 27,976 165 204,379
Continued…
188
Table 5.9 Source of modern contraceptive methods—Continued

TOTAL
UHC/UHP/UFWC 2.0 1.5 0.2 1.8 0.5 0.3 0.5 1.5
Sub-centre/ANM 0.4 0.6 9.4 2.7 7.8 2.1 3.0 1.7
Camp 3.2 6.7 0.1 0.2 0.2 0.2 0.0 2.3
ASHA 0.0 0.0 11.8 1.0 3.6 6.7 2.1 2.2
Dai (TBA) 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Other source 0.2 0.3 13.6 0.5 4.2 33.7 13.1 7.0
Shop 0.0 0.0 5.9 0.2 2.0 6.7 1.8 1.7
Husband 0.0 0.0 7.2 0.1 1.5 25.8 8.1 5.0
Friend/relative 0.0 0.0 0.2 0.1 0.0 1.0 3.2 0.2
Other 0.2 0.3 0.3 0.1 0.7 0.3 0.0 0.2
Don't know 0.0 0.1 0.0 0.0 0.0 0.0 0.0 0.0
Missing 0.2 0.0 0.1 0.0 0.0 0.0 0.0 0.2
Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Number of users 210,331 1,630 26,699 11,106 2,967 50,871 299 304,125
Note: All information in this table is based on women's reports. Table includes all users of modern contraceptive methods except the lactational amenorrhoea method
(LAM) regardless of marital status.
AYUSH = Ayurveda, yoga and naturopathy, unani, siddha, and homeopathy; UHC = Urban health centre; UHP = Urban health post; UFWC = Urban family welfare
centre; CHC = Community health centre; PHC = Primary health centre; ANM = Auxiliary nurse midwife; ICDS = Integrated Child Development Services; ASHA =
Accredited Social Health Activist; NGO = Nongovernmental organization; TBA = Traditional birth attendant
1
Excludes standard days method, lactational amenorrhoea method (LAM), and "other" modern methods
189
Table 5.10 Public sector as source of modern contraceptives by state/union territory
Percentage of current users of modern contraceptive methods for whom the most recent source of contraceptives was the public sector, by specific method and residence, according to
All modern methods

Female Male IUD or Condom/ Emergency
State/union territory sterilization sterilization Pill PPIUD Injectables Nirodh contraception Urban Rural Total
India 80.9 91.2 41.0 75.8 65.4 26.3 26.4 55.1 74.1 67.9
North
Chandigarh 88.5 * * * * 17.8 * 48.9 * 49.0
Delhi 80.6 * 29.0 73.5 (56.8) 12.8 * 43.4 50.4 43.6
Haryana 81.5 99.4 45.4 63.7 58.6 26.4 * 48.2 68.7 62.3
Himachal Pradesh 95.6 98.1 57.4 89.9 * 32.3 * 46.1 80.2 76.1
Jammu & Kashmir 89.4 (73.3) 67.7 94.7 82.5 54.6 * 70.2 80.7 77.8
Ladakh 93.8 * 87.0 98.1 89.3 89.1 * 87.2 92.9 91.9
Punjab 88.6 91.2 48.2 61.4 * 23.8 * 47.3 63.8 57.8
Rajasthan 93.4 95.2 57.8 82.4 82.4 25.3 * 60.9 80.8 76.0
Uttarakhand 90.2 95.0 40.8 84.6 (62.4) 11.6 * 32.9 62.8 53.1
Central
190
Chhattisgarh 89.7 99.7 67.9 89.0 63.2 40.0 * 72.1 89.7 85.3
Madhya Pradesh 95.3 96.5 57.7 82.4 73.0 27.7 * 69.5 91.0 85.4
Uttar Pradesh 85.0 (90.7) 49.9 70.5 59.7 26.7 39.5 36.6 60.6 54.2
East
Bihar 69.6 (71.3) 35.1 67.3 58.6 32.4 * 49.5 67.0 64.2
Jharkhand 75.3 76.6 40.8 80.2 50.1 41.0 * 58.7 73.7 70.1
Odisha 92.8 96.7 49.4 93.4 83.3 24.1 * 61.1 78.3 75.3
West Bengal 86.2 * 33.8 97.8 71.4 22.8 * 48.4 67.5 61.6
Northeast
Arunachal Pradesh 93.9 * 42.2 94.5 73.3 37.0 40.8 67.1 69.7 69.3
Assam 86.4 (100.0) 34.0 93.8 87.1 31.1 * 41.9 50.3 49.2
Manipur 72.1 * 26.6 82.4 * 15.2 * 51.2 47.6 49.0
Meghalaya 73.1 * 76.2 90.9 71.0 43.2 (70.1) 55.0 78.1 73.9
Mizoram 88.7 * 51.9 83.9 * 66.5 * 64.6 79.7 72.2
Nagaland 77.9 * 43.3 87.7 * 29.7 * 63.6 78.1 73.1
Sikkim 93.2 (98.5) 50.4 88.1 68.7 61.6 * 73.0 70.4 71.2
Tripura 90.4 * 23.6 (88.3) * 17.6 * 34.7 41.3 39.2
Continued…
Table 5.10 Public sector as source of modern contraceptives by state/union territory—Continued
Percentage of current users of modern contraceptive methods for whom the most recent source of contraceptives was the public sector, by specific method and residence, according to
All modern methods

Female Male IUD or Inject- Condom/ Emergency
State/union territory sterilization sterilization Pill PPIUD ables Nirodh contraception Urban Rural Total
West
and Daman & Diu 84.5 * 54.0 (82.5) * 40.6 * 58.7 87.5 74.8
Goa 81.2 * (45.2) (56.4) * 22.6 * 53.2 52.4 52.9
Gujarat 82.6 85.8 45.8 57.0 (40.2) 32.3 * 51.1 81.3 68.8
Maharashtra 79.8 96.4 35.6 44.3 52.4 18.9 * 53.2 80.2 68.2
South
Andaman & Nicobar
Islands 96.7 * 73.0 97.1 * 20.4 * 72.4 88.4 83.0
Andhra Pradesh 72.4 (71.7) * * * (6.1) * 61.9 76.1 71.9
Karnataka 84.0 * 66.7 75.0 69.0 44.9 * 70.8 87.0 80.5
Kerala 57.4 * (43.4) 79.4 * 53.4 * 52.0 62.3 57.6
191
Lakshadweep 66.1 * * * * (97.0) * 71.2 (83.1) 73.3
Puducherry 85.5 * * (85.1) * 46.8 * 78.5 91.8 82.8
Tamil Nadu 74.1 * 51.1 83.1 (83.3) 22.6 * 65.7 79.9 73.3
Telangana 67.2 90.7 41.4 36.6 * 47.6 * 57.1 72.8 67.2
Note: All information in this table is based on women's reports. Table includes all users of modern contraception regardless of their marital status. Figures in parentheses are based on 25-49 unweighted cases. An
asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been suppressed.
Table 5.11 Use and source of emergency contraceptive pills
Percentage of women who have ever used emergency contraceptive pills and percentage who have used emergency
contraceptive pills in the last 12 months, and among those who used emergency contraceptive pills in the last 12
months, the percent distribution by the number of times the pills were used and the percentage of users by source
from which the method was obtained, according to residence, India, 2019-21
Source Urban Rural Total
Percentage who have ever used emergency

contraceptive pills 0.9 0.6 0.7
Percentage who have used emergency

contraceptive pills in the last 12 months 0.6 0.4 0.4
Among women who have used emergency contraceptive

pills in the past 12 months, number of times used
emergency contraceptive pills in the past 12 months
1 40.2 35.6 37.5
2 26.4 21.7 23.7
3 or more 33.5 42.7 38.8
Total 100.0 100.0 100.0
Source of emergency contraceptive pills

Public health sector 12.7 35.0 25.6
Government/municipal hospital 4.0 6.8 5.6
Vaidya/hakim/homeopath (AYUSH) 0.1 0.2 0.1
Government dispensary 1.9 0.7 1.2
UHC/UHP/UFWC 0.5 0.4 0.4
CHC/rural hospital/Block PHC 2.4 9.8 6.7
PHC/Additional PHC 0.0 1.5 0.9
Sub-centre/ANM 1.0 3.8 2.6
Government mobile clinic 0.6 0.3 0.4
Anganwadi/ICDS centre 1.2 4.0 2.8
ASHA 0.8 7.5 4.7
Other community-based worker 0.0 0.0 0.0
Other public health sector 0.3 0.1 0.2
NGO or trust hospital/clinic 0.3 0.1 0.2
Private health sector 78.1 61.2 68.3

Private hospital 6.2 4.2 5.1
Private doctor/clinic 16.3 16.2 16.3
Private mobile clinic 1.2 1.8 1.5
Traditional healer 0.3 0.3 0.3
Pharmacy/drug store 52.5 38.5 44.4
Dai (TBA) 1.3 0.0 0.6
Other private medical sector 0.0 0.1 0.1
Other source 12.8 13.3 13.1

Shop 6.6 7.7 7.2
Friend/relative 4.7 3.5 4.0
Other 1.5 2.1 1.8
Number of users of emergency contraceptive

pills in the past 12 months 698 967 1,665
Note: All information in this table is based on women's reports. Table includes all users of emergency contraceptive pills regardless
of their marital status.
AYUSH = Ayurveda, yoga and naturopathy, unani, siddha, and homeopathy; UHC = Urban Health Centre; UHP = Urban health post;
UFWC = Urban family welfare centre; CHC = Community health centre; PHC = Primary health centre; ANM = Auxiliary nurse
midwife; ICDS = Integrated Child Development Services; ASHA = Accredited Social Health Activist; NGO = Nongovernmental
organization; TBA = Traditional birth attendant
192
Table 5.12 Informed choice
Among women who are current users of selected modern contraceptive methods who started the last episode of use
within the 5 years preceding the survey, the percentage who were informed about possible side effects or problems of
that method, the percentage who were informed about what to do if they experienced side effects, percentage who were
ever told by a health or family planning worker about other methods of family planning they could use, and percentage
who were informed of all three, by method, according to residence, India, 2019-21
Percentage who
were informed by Percentage who
Percentage who Percentage who a health or family were informed
were informed were informed planning worker of all three
about side effects about what to do about other (Method
or problems of if experienced methods that Information Number of
Method method used side effects could be used Index) women
URBAN
Female sterilization1 62.0 54.2 68.0 49.8 11,459

Pill 63.1 55.3 76.0 53.1 3,694
IUD or PPIUD 76.7 68.4 77.4 63.2 3,054
Total 64.7 56.8 71.2 52.7 18,207
RURAL

Pill 64.8 56.3 77.0 54.4 11,554
IUD or PPIUD 74.5 66.6 79.1 62.4 5,057
Total 61.1 53.0 68.7 48.9 47,632
TOTAL

Pill 64.4 56.1 76.8 54.1 15,248
IUD or PPIUD 75.3 67.3 78.4 62.7 8,111
Total 62.1 54.0 69.4 50.0 65,839
Note: Table includes only the contraceptive methods separately shown in the table and excludes users who obtained their method from
friends/relatives or husband.
1 Among women who were sterilized in the five years preceding the survey
193
Table 5.13 Informed choice by state/union territory
Among women who are current users of modern contraceptive methods who started the last episode of use within the 5 years
preceding the survey, the percentage who were informed about possible side effects or problems of that method, the percentage who
were informed about what to do if they experienced side effects, percentage who were ever told by a health or family planning worker
about other methods of family planning they could use, and percentage who were informed of all three, by state/union territory, India,
2019-21
Percentage who were Percentage who were Percentage who were informed Percentage who were
informed about side informed about what by a health or family planning informed of all three
effects or problems of to do if experienced worker about other methods (Method Information
State/union territory method used side effects that could be used Index)
India 62.1 54.0 69.4 50.0

North
Chandigarh 91.7 86.5 89.5 86.5
Delhi 71.1 58.2 73.5 51.7
Haryana 69.3 60.1 74.7 55.6
Himachal Pradesh 58.1 45.7 65.8 39.8
Jammu & Kashmir 62.5 51.6 72.1 49.0
Ladakh 60.3 46.2 75.8 45.0
Punjab 78.5 66.3 71.8 60.3
Rajasthan 60.8 49.1 67.8 44.6
Uttarakhand 60.4 52.1 67.2 47.5
Central
Chhattisgarh 83.4 77.8 87.5 74.8
Madhya Pradesh 69.6 61.4 74.9 57.5
Uttar Pradesh 69.6 58.0 75.5 54.0
East
Bihar 48.8 39.7 57.8 35.3
Jharkhand 50.9 43.1 62.8 39.2
Odisha 73.5 67.3 80.0 63.1
West Bengal 53.4 46.2 64.6 42.6
Northeast
Arunachal Pradesh 73.8 61.8 74.4 58.3
Assam 70.0 63.0 76.8 61.4
Manipur 44.4 23.2 49.4 19.5
Meghalaya 67.3 57.4 71.2 55.1
Mizoram 58.4 49.5 56.1 45.3
Nagaland 61.1 51.1 67.0 47.6
Sikkim 61.5 43.9 71.8 42.0
Tripura 43.6 37.2 53.6 34.2
West
Daman & Diu 67.7 65.2 69.0 58.3
Goa 85.2 69.2 91.1 68.0
Gujarat 73.9 64.9 74.9 59.9
Maharashtra 51.9 44.9 59.1 38.6
South
Andaman & Nicobar Islands 83.4 76.4 90.9 74.2
Andhra Pradesh 28.8 22.3 47.8 20.0
Karnataka 72.9 66.5 77.9 64.4
Kerala 62.4 52.9 64.6 46.6
Lakshadweep 85.0 82.5 75.3 75.3
Puducherry 63.0 60.1 75.0 54.6
Tamil Nadu 82.5 77.6 86.5 73.6
Telangana 49.0 44.9 60.8 40.3
Note: Table includes only users of female sterilization, pill, and IUD/PPIUD and excludes users who obtained their method from friends/relatives or
husband.
194
Table 5.14 Twelve-month contraceptive discontinuation rates
Among women age 15-49 who experienced an episode of contraceptive use within the 5 years preceding the survey, the percentage of episodes discontinued within 12 months, by reason for
discontinuation and specific method, India, 2019-20
Desire to Side Wanted more Switched to Number of

become Other fertility effects/health effective Other method another episodes of
Method Method failure pregnant related reason1 concerns method related reason2 Other reason Any reason3 method4 use5
Pill 2.4 10.4 9.6 9.6 4.3 8.3 10.1 54.7 6.6 40,944
IUD or PPIUD 1.9 7.5 1.8 11.6 2.4 5.2 4.8 35.2 5.7 13,856
Injectables 2.9 10.6 13.3 11.2 7.1 9.5 11.2 65.9 8.7 5,531
Condom/Nirodh 2.8 14.1 11.4 3.7 3.4 11.5 13.6 60.5 5.6 91,327
Rhythm 4.7 12.8 14.4 1.5 4.2 5.8 17.0 60.4 7.6 55,865
Withdrawal 4.5 13.3 13.9 2.3 5.0 4.6 14.9 58.5 9.8 36,678
Other6 4.5 10.0 11.2 6.7 22.7 7.4 16.4 78.9 31.3 9,832
All modern spacing

methods7 2.7 12.2 10.1 6.3 4.7 9.8 12.0 58.0 7.4 161,304
All spacing methods8 3.4 12.5 11.6 4.7 4.7 8.2 13.5 58.6 7.8 254,034
195
All methods 2.9 10.6 9.8 4.0 3.9 6.9 11.5 49.6 6.6 300,420
Note: Table is based on life table calculations using information on episodes of contraceptive use that began 3-62 months preceding the survey. All methods includes female and male sterilizations, which are not shown
separately.
1
Includes infrequent sex/husband away, difficult to get pregnant/menopausal, and marital dissolution/separation
2
Includes lack of access/too far, costs too much, and inconvenient to use
3
Reasons for discontinuation are mutually exclusive and add to the total given in this column
4
The episodes of use included in this column are a subset of the discontinued episodes included in the discontinuation rate. A woman is considered to have switched to another method if she used a different method
in the month following discontinuation or if she gave "wanted a more effective method" as the reason for discontinuation and started another method within 2 months of discontinuation.
5
All episodes of use that occurred within the 5 years preceding the survey are included. Number of episodes of use includes both episodes of use that were discontinued during the period of observation and episodes
of use that were not discontinued during the period of observation.
6
Includes female condom, diaphragm, foam/jelly, standard days method, lactational amenorrhoea method (LAM), and other modern and traditional methods that are not shown separately
7
Includes pill, IUD/PPIUD, injectables, male condom, female condom, lactational amenorrhoea method (LAM), diaphragm, foam/jelly, and other modern spacing methods that are not shown separately
8
Includes pill, IUD/PPIUD, injectables, male condom, female condom, lactational amenorrhoea method (LAM), diaphragm, foam/jelly, rhythm, withdrawal, and other modern spacing and traditional methods that are
not shown separately
Table 5.15 Twelve-month contraceptive discontinuation rates by state/union territory
Among women age 15-49 who experienced an episode of contraceptive use within the 5 years preceding the survey, the percentage
of episodes discontinued within 12 months, by specific method and state/union territory, India, 2019-20
Modern method Traditional method Any Any

IUD or Condom/ All modern spacing
State/union territory Pill PPIUD Nirodh Rhythm Withdrawal methods method method
India 54.7 35.2 60.5 60.4 58.5 49.6 45.1 58.6
North
Chandigarh * * (38.4) * * 48.6 (31.0) 52.3
Delhi (50.2) 18.7 29.2 37.2 36.8 31.3 28.7 32.9
Haryana 46.9 27.2 38.5 44.9 50.6 36.0 31.5 42.0
Himachal Pradesh (49.5) (26.8) 46.8 52.8 44.2 40.5 38.0 46.5
Jammu & Kashmir 57.3 22.2 61.1 * 61.4 54.4 52.8 57.5
Ladakh (47.9) * (51.1) * * 44.8 42.1 48.0
Punjab 67.7 37.1 61.3 73.6 74.5 64.2 54.7 67.1
Rajasthan 57.5 25.0 54.0 60.7 60.5 48.6 42.9 56.8
Uttarakhand 50.9 (21.1) 42.0 47.4 58.2 43.7 38.9 47.0
Central
Chhattisgarh 65.2 26.0 57.0 56.2 68.0 49.8 45.6 61.1
Madhya Pradesh 70.2 41.5 57.9 55.6 64.9 47.6 43.3 61.9
Uttar Pradesh 71.5 37.0 69.8 65.4 71.6 65.5 64.9 68.4
East
Bihar 62.3 39.1 68.4 63.4 65.4 50.8 39.3 64.5
Jharkhand 54.8 23.0 57.0 51.9 57.2 41.9 33.6 53.1
Odisha 46.7 26.6 53.0 49.4 51.1 45.9 41.6 50.4
West Bengal 37.5 36.2 51.9 41.1 47.7 38.9 36.7 43.9
Northeast
Assam 41.9 17.1 65.6 48.2 53.8 46.7 44.4 48.3
Manipur 59.8 38.0 63.8 41.7 53.3 53.0 55.1 53.7
Meghalaya 50.4 17.2 71.7 63.3 53.6 50.2 47.5 52.6
Mizoram 36.9 (38.3) (66.2) * * 38.6 38.4 41.8
Nagaland 47.5 5.9 71.1 56.6 59.7 51.0 46.3 53.0
Sikkim 37.8 * (38.8) * (21.8) 31.3 33.2 32.7
Tripura 28.9 * 61.4 44.5 54.6 44.2 41.1 46.0
West
Daman & Diu * * 34.7 * (51.7) 30.4 24.9 39.3
Goa * * 57.1 * * 54.8 55.2 58.0
Gujarat 62.4 32.2 47.3 56.9 54.3 42.6 35.8 51.2
Maharashtra 57.8 34.4 48.5 (39.5) 44.5 34.8 34.0 49.3
South
Andhra Pradesh * * (40.9) * * 32.7 31.7 39.6
Karnataka * * * * * 9.0 7.7 61.0
Kerala 73.8 52.6 65.3 * (68.6) 40.9 39.8 66.2
Lakshadweep * (26.4) 63.1 43.6 51.0 37.7 32.3 54.2
Puducherry * * * * * 33.2 * 38.3
Tamil Nadu * * (59.6) * * 35.3 31.2 52.9
Telangana * 44.3 60.8 (38.9) 49.0 30.0 26.4 51.6
Note: All methods and any modern method include female and male sterilization, which are not shown separately. Figures in parentheses are based
on 25-49 unweighted cases. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been suppressed.
196
Table 5.16.1 Exposure to family planning messages: Women
Percentage of women age 15-49 who heard or saw a family planning message on radio, television, in a newspaper or
magazine, or on a wall painting or hoarding or on the internet in the past few months, according to background characteristics,
India, 2019-21
None of
Wall these
Newspaper/ painting or media Number of
Background characteristic Radio Television magazine hoarding Internet sources women
Age
15-19 13.4 56.3 37.9 55.5 31.4 26.5 122,544
20-24 15.6 62.1 41.7 60.2 39.0 21.7 119,440
25-29 15.9 62.8 39.8 59.7 36.1 22.2 117,145
30-34 15.9 61.6 36.7 58.0 30.4 23.6 100,384
35-39 15.8 59.8 33.4 55.3 24.5 25.7 97,552
40-44 16.0 57.5 30.5 52.3 20.0 28.1 81,787
45-49 15.2 54.8 27.0 49.6 17.0 30.5 85,264
Residence
Urban 17.9 71.6 48.8 65.2 40.6 16.3 235,279
Rural 14.1 53.6 29.7 51.9 24.0 29.4 488,836
Schooling
No schooling 10.8 39.7 9.4 36.3 9.9 43.2 163,492
<5 years complete 10.8 49.3 14.8 45.4 10.9 34.2 37,549
5-7 years complete 13.0 56.2 25.5 52.7 17.7 27.4 96,806
8-9 years complete 14.6 60.5 35.4 58.2 25.9 23.3 129,094
10-11 years complete 16.5 67.2 47.9 63.9 35.1 18.1 109,777
12 or more years complete 21.2 75.2 62.1 71.7 55.1 11.9 187,396
Religion
Hindu 15.6 60.6 36.5 57.0 29.6 24.5 589,164
Muslim 14.8 53.2 31.3 51.5 27.4 29.1 97,595
Christian 12.5 50.5 37.2 56.0 25.2 28.0 16,995
Sikh 10.2 64.4 38.0 49.2 38.5 25.8 11,404
Jain 18.7 86.7 72.9 81.2 60.4 5.3 1,632
Other 13.5 34.2 24.1 52.1 22.2 35.8 2,754
Caste/tribe
Scheduled caste 14.3 57.7 31.0 53.4 25.5 27.2 158,483
Scheduled tribe 13.2 47.1 26.5 52.2 20.4 32.1 67,263
Other backward class 16.0 59.9 36.8 57.1 29.4 24.4 310,783
Other 16.2 65.3 42.7 59.1 36.5 21.6 182,474
Don't know 7.5 41.1 16.5 37.1 13.1 45.6 5,112
Wealth quintile
Lowest 10.7 33.1 15.3 40.6 13.1 44.3 133,973
Second 13.8 51.8 25.3 50.0 20.4 30.5 144,813
Middle 15.1 62.8 34.2 56.7 25.9 23.0 148,616
Fourth 16.8 69.3 44.2 62.4 34.2 17.7 150,680
Highest 19.8 77.7 58.8 69.7 51.8 12.2 146,032
Total 15.3 59.5 35.9 56.2 29.4 25.2 724,115
197
Table 5.16.2 Exposure to family planning messages: Men
Percentage of men age 15-49 who heard or saw a family planning message on radio, television, in a newspaper or
magazine, or on a wall painting or hoarding or on the internet in the past few months, according to background
None of
Wall these
Newspaper/ painting or media Number of
Background characteristic Radio Television magazine hoarding Internet sources men
Age
15-19 10.4 48.9 40.5 57.4 27.9 26.9 16,385
20-24 13.3 56.7 48.7 63.3 40.5 19.9 14,384
25-29 15.3 57.9 49.8 63.2 37.1 20.8 14,195
30-34 17.1 61.4 52.4 64.8 33.2 18.7 13,109
35-39 16.4 59.0 47.6 62.8 25.2 20.9 13,029
40-44 16.3 57.6 47.6 61.6 20.1 22.6 10,846
45-49 17.0 56.4 44.3 58.6 16.8 23.8 11,197
Residence
Urban 14.7 62.6 53.6 64.0 35.9 18.3 32,852
Rural 15.0 53.3 43.6 60.3 25.8 24.1 60,291
Schooling
No schooling 12.0 38.4 14.4 42.8 9.2 39.9 9,982
<5 years complete 10.7 44.0 19.2 48.4 10.8 32.9 5,842
5-7 years complete 12.6 50.1 33.0 55.7 16.1 28.0 12,082
8-9 years complete 14.0 53.7 43.3 60.7 23.0 23.2 18,472
10-11 years complete 14.7 59.3 54.6 64.5 30.4 18.6 16,735
Religion
Hindu 15.3 58.4 49.5 63.7 29.9 20.4 73,632
Muslim 14.0 49.2 37.3 54.4 27.4 27.4 14,633
Christian 10.0 43.0 34.8 46.0 23.1 35.5 2,426
Sikh 9.0 49.2 34.0 44.3 28.5 34.2 886
Jain 21.3 78.8 58.3 78.0 55.0 11.9 280
Other 23.6 51.6 52.0 66.4 41.1 22.4 269
Caste/tribe
Scheduled caste 13.9 56.0 43.6 61.1 26.0 22.9 18,977
Scheduled tribe 13.5 46.8 35.8 55.6 19.7 29.6 8,441
Other 15.3 58.2 48.0 60.7 32.3 21.8 26,244
Don't know 9.9 28.4 22.2 34.6 14.2 53.5 496
Wealth quintile
Lowest 12.9 38.3 27.2 53.4 15.4 33.3 15,606
Second 14.5 51.0 38.3 59.1 22.3 25.1 18,497
Middle 15.6 59.0 47.6 60.7 27.2 21.2 19,829
Fourth 14.4 62.9 55.0 64.2 33.4 18.3 20,658
Highest 16.7 67.9 63.4 69.2 46.0 14.6 18,553
Total age 15-49 14.9 56.6 47.1 61.6 29.4 22.0 93,144
Age 50-54 16.6 52.2 41.9 56.0 14.1 26.7 8,695
Total age 15-54 15.0 56.2 46.7 61.2 28.1 22.4 101,839
198
Table 5.17 Men's contraception-related perceptions and knowledge
Percentage of men age 15-49 who agree with two specific statements about women and contraception, and percent distribution of men
according to their belief about the efficacy of condoms in preventing pregnancy, by background characteristics, India, 2019-21
Percentage of men
who agree
Contraception is
women's Women
Percentage of men who say that if a male condom is used
business and a who use
correctly, it protects against pregnancy:
man should not contraception
have to worry may become Most of Don't know/ Number
Background characteristic about it promiscuous the time Sometimes Not at all unsure1 Total of men
Age
15-19 29.9 16.7 48.2 27.8 4.1 19.9 100.0 16,385
20-24 34.9 18.6 55.2 32.4 3.4 9.0 100.0 14,384
25-29 35.1 19.0 58.4 32.8 3.1 5.7 100.0 14,195
30-34 37.1 20.2 58.7 33.1 2.9 5.4 100.0 13,109
35-39 37.8 21.5 56.9 32.9 2.8 7.4 100.0 13,029
40-44 36.5 21.0 55.2 33.4 2.7 8.6 100.0 10,846
45-49 36.1 21.2 55.8 30.3 3.4 10.5 100.0 11,197
Residence
Urban 32.3 18.9 58.8 31.3 3.0 6.9 100.0 32,852
Rural 36.6 19.9 53.3 31.9 3.4 11.4 100.0 60,291
Schooling
No schooling 39.2 20.9 45.4 32.9 4.1 17.6 100.0 9,982
<5 years complete 34.1 19.9 50.4 31.9 4.8 13.0 100.0 5,842
5-7 years complete 37.3 19.5 52.9 32.4 3.4 11.3 100.0 12,082
8-9 years complete 33.7 17.9 55.2 30.1 3.3 11.4 100.0 18,472
10-11 years complete 34.3 20.6 55.2 31.7 3.0 10.1 100.0 16,735
Religion
Hindu 35.9 19.1 55.9 31.4 3.1 9.6 100.0 73,632
Muslim 31.9 19.9 52.4 32.6 4.0 11.0 100.0 14,633
Christian 28.6 31.2 50.6 32.3 4.7 12.4 100.0 2,426
Sikh 64.7 36.5 68.0 22.0 1.6 8.5 100.0 886
Jain 17.4 6.5 55.5 41.8 0.6 2.1 100.0 280
Other 23.7 13.8 74.7 18.2 0.7 6.3 100.0 269
Caste/tribe
Scheduled caste 36.6 18.1 54.6 32.4 3.2 9.8 100.0 18,977
Scheduled tribe 31.7 17.8 54.7 28.7 3.9 12.6 100.0 8,441
Other 31.4 18.8 56.9 30.5 2.9 9.6 100.0 26,244
Don't know 29.9 16.3 56.0 21.7 2.6 19.7 100.0 496
Wealth quintile
Lowest 38.3 16.6 50.5 30.8 3.7 15.0 100.0 15,606
Second 36.9 18.5 52.7 31.6 3.9 11.8 100.0 18,497
Middle 35.5 20.9 53.5 33.1 3.2 10.2 100.0 19,829
Fourth 33.3 21.6 56.7 32.6 3.1 7.6 100.0 20,658
Highest 32.1 19.5 62.0 30.0 2.6 5.5 100.0 18,553
Total age 15-49 35.1 19.6 55.2 31.7 3.3 9.8 100.0 93,144
Age 50-54 35.8 21.8 52.3 32.0 3.1 12.7 100.0 8,695
Total age 15-54 35.2 19.7 55.0 31.7 3.2 10.1 100.0 101,839
1
Includes missing values and those who have never heard of male condom
199
Table 5.18 Men's contraception-related perceptions and knowledge by state/union territory
Percentage of men age 15-49 who agree with two specific statements about women and contraception
and say that a woman who is breastfeeding cannot become pregnant, and percent distribution of men
according to their belief about the efficacy of condoms in preventing pregnancy, by state/union territory,
India, 2019-21
Percentage of men who agree Percentage of men

Contraception is Women who use who say that if a male
women's business contraception condom is used correctly,
and a man should not may become it protects against
State/union territory have to worry about it promiscuous pregnancy most of the time
India 35.1 19.6 55.2

North
Delhi 21.9 6.2 77.3
Haryana 30.5 14.2 60.2
Ladakh 20.1 21.4 38.9
Punjab 77.3 43.9 72.5
Rajasthan 39.1 17.6 69.0
Central
East
Bihar 49.6 13.6 55.5
Jharkhand 52.9 16.4 57.2
Odisha 19.4 7.2 67.8
West Bengal 34.0 14.7 53.4
Northeast
Assam 19.6 14.6 57.0
Manipur 7.3 18.1 72.2
Meghalaya 20.2 20.3 43.1
Mizoram 9.0 9.4 82.3
Nagaland 9.6 17.3 60.5
Sikkim 33.5 21.8 61.0
Tripura 58.5 17.8 66.6
West
Daman & Diu 55.6 21.7 70.8
Goa 1.0 0.3 80.4
Gujarat 40.3 25.3 72.7
South
Karnataka 45.2 30.7 50.7
Kerala 16.1 44.1 50.1
Tamil Nadu 19.3 9.1 48.8
Telangana 50.2 35.3 49.8
200
Table 5.19 Need and demand for family planning among currently married women
Percentage of currently married women age 15-49 with unmet need for family planning, percentage with met need for family planning, total demand for family planning, and percentage of the demand
for family planning that is satisfied, by background characteristics, India, 2019-21
Percentage
Met need for family planning of demand
Unmet need for family planning (currently using) Total demand for family planning1 Percentage satisfied by
For For For For For For of demand modern Number of
Background characteristic spacing limiting Total spacing limiting Total spacing limiting Total satisfied2 methods3 women
Age
15-19 15.6 2.2 17.8 24.6 3.5 28.1 40.2 5.7 45.9 61.3 40.8 15,407
20-24 12.4 4.9 17.3 25.0 17.5 42.5 37.4 22.4 59.9 71.1 53.1 71,584
25-29 6.2 7.0 13.2 16.7 44.2 60.9 22.8 51.2 74.1 82.2 66.7 102,257
30-34 2.5 6.6 9.1 8.2 65.4 73.6 10.7 72.0 82.6 89.0 75.4 93,946
35-39 0.9 5.5 6.3 3.1 75.8 78.9 3.9 81.3 85.2 92.6 79.9 90,684
40-44 0.3 4.7 5.0 0.9 76.3 77.2 1.3 81.0 82.2 93.9 81.9 73,706
45-49 0.2 3.3 3.4 0.4 71.7 72.1 0.6 75.0 75.5 95.5 86.4 73,768
Residence
Urban 3.5 4.9 8.4 10.7 58.5 69.3 14.3 63.4 77.7 89.2 75.3 163,394
201
Rural 4.3 5.6 9.9 9.1 56.4 65.6 13.4 62.0 75.4 86.9 73.6 357,957
Schooling
No schooling 2.0 5.3 7.3 4.3 65.8 70.1 6.3 71.1 77.4 90.6 77.7 143,754
<5 years complete 2.4 4.9 7.2 5.8 66.5 72.3 8.1 71.4 79.5 90.9 80.2 32,023
5-7 years complete 2.9 5.4 8.3 7.0 63.3 70.3 10.0 68.6 78.6 89.4 77.4 79,079
8-9 years complete 4.7 5.5 10.3 11.3 54.6 65.9 16.0 60.2 76.2 86.5 71.6 85,112
10-11 years complete 4.8 5.1 9.9 11.4 53.6 65.0 16.2 58.7 74.9 86.7 73.7 66,173
12 or more years complete 6.9 5.6 12.5 16.9 43.1 60.0 23.8 48.7 72.5 82.7 67.4 115,211
Religion
Hindu 3.9 5.2 9.0 9.1 58.7 67.9 13.0 63.9 76.9 88.3 75.4 427,114
Muslim 5.0 6.8 11.8 12.8 47.4 60.2 17.8 54.2 72.0 83.6 65.8 68,631
Christian 5.5 4.8 10.4 8.1 53.7 61.8 13.6 58.5 72.1 85.6 75.5 11,391
Sikh 3.5 6.0 9.5 10.1 57.8 67.9 13.6 63.8 77.4 87.7 69.3 8,080
Buddhist/Neo-Buddhist 3.9 4.3 8.2 9.1 58.1 67.2 13.0 62.5 75.5 89.1 84.7 3,081
Jain 4.8 2.7 7.5 13.1 60.7 73.9 17.9 63.4 81.3 90.8 83.4 1,173
Other 4.5 6.1 10.7 11.5 48.3 59.8 16.0 54.4 70.4 84.9 64.3 1,883
Continued…
Table 5.19 Need and demand for family planning among currently married women—Continued
Percentage of currently married women age 15-49 with unmet need for family planning, percentage with met need for family planning, total demand for family planning, and percentage of the demand
for family planning that is satisfied, by background characteristics, India, 2019-21
Percentage
Met need for family planning of demand
Unmet need for family planning (currently using) Total demand for family planning1
Percentage satisfied by
For For For For For For of demand modern Number of
Background characteristic spacing limiting Total spacing limiting Total spacing limiting Total satisfied2 methods3 women
Caste/tribe
Scheduled caste 4.0 5.2 9.2 9.5 57.5 67.0 13.5 62.7 76.2 87.9 74.8 112,610
Scheduled tribe 4.5 4.7 9.2 10.0 54.4 64.4 14.5 59.1 73.6 87.4 74.8 47,852
Other backward class 4.2 5.4 9.6 8.7 57.7 66.4 12.9 63.1 76.0 87.4 74.5 224,682
Other 3.7 5.7 9.4 11.2 56.8 68.0 14.9 62.5 77.3 87.9 73.0 132,179
Don't know 5.0 6.9 12.0 8.7 51.5 60.2 13.7 58.5 72.2 83.4 68.3 4,029
Wealth quintile
Lowest 4.5 6.9 11.4 8.8 53.5 62.2 13.3 60.3 73.6 84.6 68.9 97,962
Second 4.1 5.6 9.7 9.6 56.6 66.1 13.7 62.2 75.8 87.2 73.3 104,135
Middle 3.9 4.8 8.6 8.8 58.9 67.7 12.6 63.7 76.3 88.7 76.4 106,487
Fourth 4.0 5.0 9.0 9.5 58.2 67.8 13.6 63.2 76.8 88.3 76.2 108,247
202
Highest 3.7 4.8 8.6 11.5 57.9 69.4 15.2 62.8 78.0 89.0 75.3 104,520
Total 4.0 5.4 9.4 9.6 57.1 66.7 13.7 62.5 76.1 87.6 74.1 521,352
Note: Numbers in this table correspond to the revised definition of unmet need described in Bradley et al., 2012, Revising Unmet Need for Family Planning, DHS Analytical Studies No. 25, ICF International, Calverton, Maryland,
USA.
1
Total demand is the sum of unmet need and met need.
2
Percentage of demand satisfied is met need divided by total demand.
3
Modern methods include female sterilization, male sterilization, pill, IUD/PPIUD, injectables, male condom, female condom, emergency contraception, standard days method (SDM), diaphragm, foam/jelly, lactational
amenorrhoea method (LAM), and other modern methods
Table 5.20 Need and demand for family planning among currently married women by state/union territory and over time
Percentage of currently married women age 15-49 with unmet need for family planning, percentage with met need for family planning, total demand for family planning, and
percentage of the demand for family planning that is satisfied, by state/union territory, India, 2019-21, and NFHS-4
Met need for family planning Percentage of

Unmet need for family planning (currently using) Total demand for family planning1 Percentage demand satisfied
For For For For For For of demand by modern
State/union territory spacing limiting Total spacing limiting Total spacing limiting Total satisfied2 methods3
India 4.0 5.4 9.4 9.6 57.1 66.7 13.7 62.5 76.1 87.6 74.1
NFHS-4 (2015-2016) 5.6 7.2 12.9 5.4 48.1 53.5 11.1 55.3 66.4 80.6 72.0
North
Chandigarh 2.5 4.4 6.9 9.9 67.5 77.4 12.4 71.9 84.3 91.8 65.9
Delhi 2.0 4.1 6.1 12.3 64.1 76.4 14.3 68.2 82.5 92.6 69.9
Haryana 3.3 4.2 7.6 8.9 64.3 73.1 12.2 68.5 80.7 90.6 75.0
Himachal Pradesh 2.8 5.1 7.9 9.3 64.9 74.2 12.1 69.9 82.1 90.4 77.3
Jammu & Kashmir 3.9 3.9 7.8 16.7 43.0 59.8 20.6 46.9 67.6 88.5 77.7
Ladakh 4.0 3.9 7.9 16.4 35.0 51.3 20.4 38.8 59.2 86.7 81.1
Punjab 3.7 6.2 9.9 10.0 56.5 66.6 13.7 62.7 76.4 87.1 66.0
203
Rajasthan 3.7 3.9 7.6 11.8 60.5 72.3 15.6 64.3 79.9 90.5 77.7
Uttarakhand 3.2 5.7 8.8 10.9 59.9 70.8 14.1 65.5 79.6 88.9 72.6
Central
Chhattisgarh 3.4 4.8 8.3 8.6 59.2 67.8 12.0 64.0 76.1 89.2 81.1
Madhya Pradesh 3.8 3.8 7.7 8.2 63.6 71.7 12.0 67.4 79.4 90.3 82.5
Uttar Pradesh 4.8 8.1 12.8 11.8 50.6 62.4 16.6 58.7 75.3 82.9 59.1
East
Bihar 6.1 7.5 13.6 8.0 47.8 55.8 14.1 55.3 69.3 80.4 64.0
Jharkhand 4.8 6.7 11.5 8.7 52.9 61.7 13.5 59.7 73.2 84.3 67.6
Odisha 2.5 4.6 7.2 13.4 60.7 74.1 15.9 65.4 81.3 91.2 60.0
West Bengal 3.0 4.1 7.0 16.6 57.8 74.4 19.5 61.9 81.4 91.3 74.6
Continued…
Table 5.20 Need and demand for family planning among currently married women by state/union territory and over time—Continued
Percentage of currently married women age 15-49 with unmet need for family planning, percentage with met need for family planning, total demand for family planning, and
percentage of the demand for family planning that is satisfied, by state/union territory, India, 2019-21, and NFHS-4
Met need for family planning Percentage of

Unmet need for family planning (currently using) Total demand for family planning1 Percentage demand satisfied
For For For For For For of demand by modern
State/union territory spacing limiting Total spacing limiting Total spacing limiting Total satisfied2 methods3
Northeast
Arunachal Pradesh 7.0 5.4 12.4 20.0 39.1 59.1 27.0 44.6 71.6 82.6 65.9
Assam 4.1 6.8 11.0 15.6 45.2 60.8 19.8 52.0 71.8 84.7 63.2
Manipur 4.7 7.5 12.2 21.7 39.6 61.3 26.4 47.1 73.5 83.4 24.7
Meghalaya 18.3 8.6 26.9 13.9 13.5 27.4 32.2 22.1 54.3 50.4 41.4
Mizoram 12.8 6.0 18.9 13.2 18.0 31.2 26.0 24.0 50.1 62.3 61.4
Nagaland 4.5 4.7 9.1 14.4 43.0 57.4 18.9 47.6 66.5 86.3 68.2
Sikkim 4.9 7.0 11.9 17.8 51.4 69.1 22.7 58.4 81.1 85.3 67.8
Tripura 2.5 5.7 8.2 16.4 54.8 71.2 18.9 60.5 79.3 89.7 61.9
West
204
Daman & Diu 5.3 6.7 11.9 10.1 57.9 68.0 15.4 64.5 79.9 85.1 74.8
Goa 4.0 4.4 8.4 18.7 49.2 67.9 22.7 53.6 76.3 89.0 78.7
Gujarat 4.5 5.9 10.3 10.5 54.7 65.3 15.0 60.6 75.6 86.3 70.9
Maharashtra 3.8 5.7 9.6 7.0 59.2 66.2 10.8 64.9 75.7 87.4 84.2
South
Andaman & Nicobar Islands 6.1 7.4 13.5 10.4 55.3 65.8 16.5 62.7 79.3 83.0 72.8
Andhra Pradesh 2.6 2.0 4.7 0.5 70.6 71.1 3.1 72.7 75.8 93.8 93.5
Karnataka 3.8 2.7 6.4 6.6 62.1 68.7 10.4 64.8 75.2 91.4 90.7
Kerala 7.0 5.5 12.5 7.7 53.0 60.7 14.7 58.5 73.2 83.0 72.2
Lakshadweep 8.0 4.2 12.3 18.1 34.5 52.6 26.1 38.7 64.9 81.1 46.5
Puducherry 3.2 7.4 10.5 4.1 61.8 66.0 7.3 69.2 76.5 86.2 81.3
Tamil Nadu 3.0 4.5 7.5 4.9 63.6 68.6 7.9 68.1 76.0 90.2 86.1
Telangana 2.8 3.6 6.4 2.3 65.8 68.1 5.1 69.4 74.5 91.4 89.4
Note: Numbers in this table correspond to the revised definition of unmet need described in Bradley et al., 2012, Revising Unmet Need for Family Planning, DHS Analytical Studies No. 25, ICF International,
Calverton, Maryland, USA.
1
Total demand is the sum of unmet need and met need.
2
Percentage of demand satisfied is met need divided by total demand.
3
Modern methods include female sterilization, male sterilization, pill, IUD/PPIUD, injectables, male condom, female condom, emergency contraception, standard days method (SDM), diaphragm, foam/jelly,
lactational amenorrhoea method (LAM), and other modern methods
Table 5.21 Hysterectomy
Percentage of women age 15-49 who have had a hysterectomy, and among women with a hysterectomy, percent distribution by place the
hysterectomy was performed, according to background characteristics, India, 2019-21
Place of hysterectomy
Percentage Percentage Percentage
performed performed performed
Percentage of in the in the elsewhere or
women who Median age public private don't know Number of
have had a Number of of health health where it was women with a
Background characteristic hysterectomy women hysterectomy sector sector1 performed Total hysterectomy
Age
15-29 0.2 359,128 a 34.6 64.6 0.8 100.0 804
30-39 3.3 197,936 a 24.6 75.0 0.4 100.0 6,565
40-49 9.7 167,051 37.6 31.9 67.7 0.3 100.0 16,247
Residence
Urban 2.5 235,279 36.5 30.8 68.7 0.5 100.0 5,988
Rural 3.6 488,836 34.0 29.7 69.9 0.3 100.0 17,628
Schooling
No schooling 7.1 163,492 34.5 30.3 69.5 0.2 100.0 11,667
<5 years complete 5.4 37,549 34.0 37.1 62.1 0.9 100.0 2,013
5-7 years complete 3.9 96,806 34.3 29.6 70.1 0.2 100.0 3,824
8-9 years complete 2.0 129,094 34.3 32.5 67.1 0.4 100.0 2,524
10-11 years complete 1.7 109,777 35.1 26.2 73.5 0.2 100.0 1,857
12 or more years complete 0.9 187,396 36.9 20.7 78.0 1.3 100.0 1,731
Religion
Hindu 3.4 589,164 34.6 29.6 70.1 0.4 100.0 20,234
Muslim 2.3 97,595 35.0 31.9 67.6 0.5 100.0 2,248
Christian 3.3 16,995 33.9 27.3 72.5 0.2 100.0 553
Sikh 3.5 11,404 36.6 40.3 59.6 0.1 100.0 399
Buddhist/Neo-Buddhist 2.0 4,571 36.6 54.7 45.3 0.0 100.0 91
Jain 2.9 1,632 39.9 8.1 91.9 0.0 100.0 47
Other 1.6 2,754 31.7 51.7 48.3 0.0 100.0 44
Caste/tribe
Scheduled caste 3.1 158,483 34.6 35.0 64.7 0.3 100.0 4,912
Scheduled tribe 2.2 67,263 33.9 42.7 57.1 0.1 100.0 1,459
Other backward class 3.6 310,783 34.3 25.5 74.1 0.3 100.0 11,285
Other 3.2 182,474 35.4 31.4 68.1 0.5 100.0 5,771
Don't know 3.7 5,112 35.4 26.6 72.9 0.5 100.0 189
Wealth quintile
Lowest 2.9 133,973 33.5 34.8 65.0 0.2 100.0 3,820
Second 3.5 144,813 33.7 33.8 65.9 0.3 100.0 5,049
Middle 3.7 148,616 33.9 29.8 69.6 0.5 100.0 5,483
Fourth 3.5 150,680 35.2 28.1 71.6 0.4 100.0 5,206
Highest 2.8 146,032 37.5 23.4 76.2 0.4 100.0 4,057
Total 3.3 724,115 34.6 30.0 69.6 0.4 100.0 23,616
a = Omitted because less than 50 percent of women had a hysterectomy by the beginning of this age group
1
Includes nongovernmental organization or trust hospital/clinic
205
Table 5.22 Hysterectomy by state/union territory
Percentage of women age 15-49 who have had a hysterectomy,

by state/union territory, India, 2019-21
Percentage of women who

State/union territory have had a hysterectomy
India 3.3
North
Chandigarh 0.9
Delhi 1.7
Haryana 2.4
Jammu & Kashmir 2.7
Ladakh 3.6
Punjab 3.2
Rajasthan 2.1
Uttarakhand 2.1
Central
Chhattisgarh 1.7
Madhya Pradesh 2.8
Uttar Pradesh 2.6
East
Bihar 6.0
Jharkhand 2.6
Odisha 1.9
West Bengal 2.7
Northeast
Assam 1.1
Manipur 1.8
Meghalaya 0.7
Mizoram 1.5
Nagaland 1.8
Sikkim 0.8
Tripura 1.7
West
Daman & Diu 1.9
Goa 1.9
Gujarat 3.9
Maharashtra 3.0
South
Andhra Pradesh 8.7
Karnataka 3.4
Kerala 2.0
Lakshadweep 1.2
Puducherry 1.6
Tamil Nadu 2.4
Telangana 8.2
206
OTHER PROXIMATE DETERMINANTS OF FERTILITY 6
Key Findings
 Age at first marriage: The median age at first marriage is

18.8 years for women and 24.9 years for men age 25-49.
 Consanguineous marriages: Eleven percent of marriages
are consanguineous marriages, which are more common in all
of the southern states except Kerala.
 Sexual initiation: The median age at first sexual intercourse
is 0.1 years later than the median age at first marriage for
women age 20-49.
 Abortion: Three percent of pregnancies in the five years
preceding the survey resulted in an abortion and 7 percent
resulted in a miscarriage.
 Main reason for abortion: Almost half of women with an
abortion (48%) sought their abortion due to an unplanned
pregnancy.
 Complications from abortions: Sixteen percent of women
with an abortion had complications from the abortion.
 Widowhood: One in nine women age 45-49 are widowed.
arriage and sexual activity help to determine the extent to which women are exposed to the risk of
M pregnancy. Thus they are important determinants of fertility levels. However, the timing and circumstances
of marriage and sexual activity also have profound consequences for women’s and men’s lives.
6.1 MARITAL STATUS

Marriage is nearly universal in India. By age 45-49, only 1 percent of women and 3 percent of men have never been
married (Table 6.1). Seventy-two percent of women and 60 percent of men age 15-49 are currently married (Figure
6.1). Only a small proportion of women (0.2%) and men (0.1%) are married, but the gauna ceremony associated with
the consummation of marriage has not been performed. Overall, 0.3 percent each of women and men age 15-49 are
divorced. Eleven percent of women age 45-49 are widowed, compared with 1 percent of men.
Trends: The percentage of women who are currently married has declined slightly, from 73 percent in 2015-16 to 72
percent in 2019-21. The percentage of men who are currently married is almost the same in 2015-16 and 2019-21 (60%
each).
207
Figure 6.1 Marital Status
Percent distribution of women and men age 15-49
Women Men
Married, Divorced/
Married, Divorced/ Widowed separate/ Widowed
gauna not
gauna not separated/ 3.1% deserted 0.5%
performed
performed deserted 0.8%
0.1%
0.2% 1.1%
Never
married
24% Never
married
Currently 39%
Currently married
married 60%
72%
6.2 AGE AT FIRST MARRIAGE
Median age at first marriage

Age by which half of respondents have been married.
Men tend to marry considerably later than women in India. The median age at first marriage is 19.2 years among
women age 20-49 and 24.9 years among men age 25-49 (Table 6.2). Thirty-eight percent of women age 20-49 marry
before the legal minimum age of marriage of 18 years, and 23 percent of men age 25-49 marry before the minimum
legal age of marriage of 21years.
Trends: Early marriage has been declining over time. Marriage before the legal age of 18 is 23 percent for women age
20-24, compared with 47 percent for women age 45-49. Similarly, for men, marriage before the legal age of 21 years
has dropped from 27 percent for men age 45-49 to 18 percent for men age 25-29. The median age at first marriage for
women age 20-49 slightly increased from 19.0 years in 2015-16 to 19.2 years in 2019-21. For men age 25-49, the
median age at first marriage slightly increased between 2015-16 and 2019-21 (from 24.5 to 24.9 years).
 Urban women marry later than rural women. For women age 25-49, the median age at first marriage is 1.9 years
higher among urban women than rural women (20.1 versus 18.2 years) (Table 6.3.1).
 Women having 12 or more years of schooling marry much later than other women. The median age at first marriage
for women age 25-49 increases from 17.1 years for women with no schooling to 22.8 years for women with 12 or
more years of schooling (Figure 6.2).
 The median age at first marriage for women age 25-49 is higher among Jain women (22.7 years), Christian women
(21.7 years), and Sikh women (21.2 years) than women from all other specific religions (18.7-19.7 years).
208
 Women in the highest wealth
quintile marry much later (21.1 Figure 6.2 Women's Median Age at First Marriage
years) than women in other wealth by Schooling
quintiles (17.5-19.3 years). Among women age 25-49
 Twenty-five percent of women age
18-29 and 15 percent of men age
21-29 marry before reaching the
legal minimum age at marriage. 22.8
17.9 18.8 19.6
About two-fifths of women marry 17.1 17.4
before reaching the legal minimum
age at marriage in West Bengal
(42%), Bihar (40%), and Tripura
(39%), and about one-third of No schooling <5 years 5-7 years 8-9 years 10-11 years 12 or more
complete complete complete complete years
women marry before reaching the complete
legal minimum age at marriage in
Jharkhand (35%) and Andhra Pradesh (33%). The percentage marrying before the legal minimum age is 32 percent
in Assam, 28 percent in Dadra & Nagar Haveli and Daman & Diu, 27 percent in Telangana, and 25 percent each
in Madhya Pradesh and Rajasthan. The percentage of women marrying before reaching the legal minimum age of
18 is lowest in Lakshadweep (4%); Jammu & Kashmir and Ladakh (6% each); Himachal Pradesh, Goa, and
Nagaland (7% each), and Kerala and Puducherry (8% each) (Table 6.4).
 Overall, 20-25 percent of men age 21-29 in Bihar (25%), Gujarat, Rajasthan, and Madhya Pradesh (24% each),
Jharkhand (22%), Arunachal Pradesh (21%), and West Bengal (20%) marry before the legal minimum age of 21
years. The lowest proportions of men marrying below the legal age at marriage are in Lakshadweep and
Chandigarh (less than 1%), Kerala (1%), Puducherry, Tamil Nadu, and Nagaland (4% each), Karnataka and
Andaman & Nicobar Islands (5% each), Himachal Pradesh and Goa (6% each), and Delhi, Punjab, and
Maharashtra (9% each).
6.3 CONSANGUINEOUS MARRIAGES
Consanguineous marriage
Women who report that their husband was related to them by blood before their
marriage.
Sample: Ever-married women age 15-49
Thirteen percent of ever-married women were related to their husband before their marriage, and 11 percent of
marriages were consanguineous marriages (Table 6.5). The most common type of consanguineous marriages were
marriages to first cousins (8% of all marriages).
 Young women are much more likely than older women to be related to their husbands.
 Women in urban areas are about equally as likely to be in consanguineous marriages as are women in rural areas.
 Muslim and Buddhist/Neo-Buddhist women are the most likely to be in consanguineous marriages.
 Women in all the Southern states except Kerala are much more likely to be in consanguineous marriages than
women in other states. More than one-fourth of women in Tamil Nadu, Andhra Pradesh, and Karnataka, and almost
one-fifth of women in Telangana and Puducherry reported being in consanguineous marriages (Table 6.6 and
Figure 6.3).
209
Figure 6.3 Consanguineous Marriages by State/UT
Percent of ever-married women age 15-49
Tamil Nadu 28
Karnataka 27
Andhra Pradesh 26
Puducherry 19
Telangana 18
Ladakh 16
Maharashtra 15
Odisha 13
Jammu & Kashmir 12
INDIA 11
Uttar Pradesh 10
Lakshadweep 8.1
Gujarat 6.4
Bihar 6.1
Madhya Pradesh 5.8
Goa 5.7
Delhi 5.5
Meghalaya 4.9
Rajasthan 4.7
Punjab 4.7
Chhattisgarh 4.5
Kerala 4.4
Jharkhand 4.3
Uttarakhand 4.2
Haryana 3.7
West Bengal 3.5
Assam 3.3
Dadra & Nagar Haveli and Daman & Diu 2.8
Tripura 2.5
Nagaland 2.1
Chandigarh 1.7
Manipur 1.2
Mizoram 1.0
Sikkim 0.5
6.4 AGE AT FIRST SEXUAL INTERCOURSE
Median age at first sexual intercourse

Age by which half of respondents have had sexual intercourse.
In India, the median age at first sexual intercourse is 18.9 years for women age 25-49 (Table 6.7). Ten percent of
women age 25-49 had sex before age 15, and 39 percent before age 18. By age 20, 60 percent of women age 25-49
have had sexual intercourse (Table 6.7).
The median age at first sexual intercourse for men age 25-49 in India is 24.8, six years older than women. One percent
of men age 25-49 first had sexual intercourse before age 15, and 6 percent had sexual intercourse before age 18. By
age 25, 52 percent of men age 25-49 have had sexual intercourse.
Age at first marriage is widely considered a proxy indicator for the age at which women begin to be exposed to the
risks of sexual activity. A comparison of the median age at first intercourse with the median age at first marriage can
be used as a measure of whether respondents engage in sex before marriage. The median age at first marriage for
women age 25-49 in India (18.8 years) is about the same as the median age at first sexual intercourse (18.9 years). The
same pattern is observed for men age 25-49, with a median age at first intercourse of 24.8 years and a median age at
first marriage of 24.9 years.
210
Age at first marriage is widely considered a proxy indicator for the age at which women begin to be exposed to the
risks of sexual activity. A comparison of the median age at first intercourse with the median age at first marriage can
be used as a measure of whether respondents engage in sex before marriage. The median age at first marriage for
women age 25-49 in India (18.8 years) is about the same as the median age at first sexual intercourse (18.9 years). The
same pattern is observed for men age 25-49, with a median age at first intercourse of 24.8 years and a median age at
first marriage of 24.9 years.
Trends: The median age at first sexual intercourse among women age 25-49 was almost the same in 2015-16 (19.0
years) as in 2019-21 (18.9 years). The median age at first sexual intercourse for men age 25-49 increased from 24.3
years in 2015-16 to 24.8 years in 2019-21.
 Urban women age 25-49 begin having sex almost two years later than rural women. The median age at first sex is
20.2 years for women in urban areas, compared with 18.5 years for women in rural areas (Table 6.8.1).
 The median age at first intercourse increases with schooling for both women and men. Among women age 25-49,
there is a gap of 5.3 years in the median age of first sex between those with no schooling (17.5 years of age) and
those with 12 or more years of schooling (22.8 years of age).
6.5 RECENT SEXUAL ACTIVITY

NFHS-5 also collected data on recent sexual activity. Thirty-one percent of women and 30 percent of men age 15-49
reported having sexual intercourse within the last week. Twenty-three percent of women and 34 percent of men age
15-49 have never had sexual intercourse. For more information on recent sexual activity, see Table 6.9.1 and Table
6.9.2.
6.6 INSUSCEPTIBILITY TO PREGNANCY
Median duration of postpartum amenorrhoea

Number of months after childbirth by which time half of women have begun
menstruating.
Sample: Women who gave birth in the three years before the survey
Median duration of postpartum insusceptibility

Number of months after childbirth by which time half of women are no longer
protected against pregnancy either by postpartum amenorrhoea or abstinence
from sex.
Sample: Women who gave birth in the three years before the survey
Postpartum amenorrhoea refers to the interval between childbirth and the return of menstruation. The length and
intensity of breastfeeding influence the duration of amenorrhoea, which offers protection from conception. Postpartum
abstinence is the period between childbirth and the time when a woman resumes sexual activity. Eighty-one percent of
women are insusceptible to pregnancy two months after a birth. Continued postpartum amenorrhoea and abstinence
from sexual intercourse may protect women from pregnancy for longer periods.
During the first six months postpartum, 38 percent of women were amenorrhoeic, 29 percent of women were abstaining
from sexual intercourse, and 52 percent were insusceptible to getting pregnant in 2019-21, compared with 42 percent
of women who were amenorrhoeic, 25 percent who were practicing abstinence, and 52 percent who were insusceptible
in 2015-16.
Among births in the three years before the survey, the median duration of postpartum amenorrhoea is 4.1 months,
while the median duration of abstinence from sexual intercourse after giving birth is 3.5 months. Women are
insusceptible to pregnancy after childbirth for a median of 6.3 months (Table 6.10).
211
Trends: The median duration of postpartum amenorrhoea and insusceptibility has declined since 2015-16. However,
the median duration of abstinence has increased marginally. From 2015-16 to 2019-21, the median duration of
postpartum amenorrhoea declined from 4.9 months to 4.1 months. The median duration of abstinence increased
marginally from 3.4 months in 2015-16 to 3.5 months in 2019-21. During this same period, the median duration of
postpartum insusceptibility fell from 6.6 months to 6.3 months.
 The median duration of postpartum amenorrhoea is slightly longer among women in rural areas than women in
urban areas (4.2 months and 3.8 months, respectively).
 Scheduled tribe women remain amenorrhoeic longer (6.2 months) than scheduled caste women (4.1 months),
women from other backward classes (3.9 months), and women who are not from scheduled castes, scheduled
tribes, or other backward classes (3.5 months).
 The median duration of amenorrhoea declines with increasing wealth quintiles of households, from 5.3 months in
the lowest wealth quintile to 3.5 months in the highest wealth quintile (Table 6.11).
Menopause
Women are considered to have reached menopause if they are neither pregnant
nor postpartum amenorrhoeic and have not had a menstrual period in the six
months before the survey, or if they report being menopausal or having had a
hysterectomy or never having menstruated.
Women who have reached menopause are no longer able to become pregnant. Seventeen percent of women age 30-49
are menopausal. The percentage of menopausal women increases with age, rising from 3 percent among women age
30-34 to 55 percent among women age 48-49 (Table 6.12).
6.7 PREGNANCY OUTCOMES
Non-live births
Percentage of women whose pregnancies ended in a non-live birth (abortion,
miscarriage, or stillbirth) in the five years preceding the survey
Eighty-nine percent of all pregnancies in the five years preceding the survey ended in a live birth, and the remaining
11 percent terminated in an abortion, a miscarriage, or a stillbirth. Miscarriage is the most common type of non-live
birth, accounting for 7 percent of all pregnancies, abortions account for 3 percent, and stillbirths account for 1 percent
(Table 6.15).
Trends: In 2019-21, 11 percent of women age 15-49 have experienced a stillbirth, miscarriage, or abortion in their
lifetime, compared with 12 percent in 2015-16. The same percentage (4% each) of women age 15-49 had a non-live
birth in the five years preceding the NFHS-5 survey and in the NFHS-4 survey.
 The percentage of women who ever had a non-live birth increases with age until age 30-34 (peaking at 18%) and
then declines with age to 14 percent among women age 45-49 years (Table 6.13).
 The percentage of pregnancies in the past five years that ended in a non-live birth varies from 8 percent to 16
percent by age, with the highest percentage (13 to 16%) of non-live births in the older ages (age 35-49), and age
15-19 years and 30-34 years (10% each).
 The percentage of all pregnancies in the past five years that ended in a non-live birth was particularly high in
Manipur (15%), Goa and Delhi (14% each), Odisha and Himachal Pradesh (12% each), and Haryana and
Puducherry (11% each).
212
 Three percent of last pregnancies in the past five years resulted in an abortion, with a slightly higher percentage
among women in urban areas and women in the highest wealth quintile (Table 6.15).
6.7.1 CHARACTERISTICS OF ABORTIONS

A majority of the abortions were performed in the private health sector (53%), whereas 20 percent were performed in
the public health sector. More than one-fourth (27%) of the abortions were performed by the woman herself at home.
Sixteen percent of women reporting an abortion said that they had post-abortion complications, and most of them
(90%) sought treatment for these complications (Table 6.17).
 Almost half of the women (48%) said that the main reason for seeking an abortion was an unplanned pregnancy,
followed by her health didn’t permit continuing her pregnancy.
 Ten percent of women reported that the last child was too young to have the next birth as the main reason for the
abortion.
 Among the remaining reasons, more than one-fourth of women in Ladakh (40%), Lakshadweep (33%), Tamil
Nadu (31%), and Telangana (27%) mentioned health concerns as the major reason for getting the abortion. One-
fifth to one-third of women in Lakshadweep (32%), Sikkim (28%), Punjab and Jammu & Kashmir (26% each),
Himachal Pradesh (24%), and Andhra Pradesh and Kerala (22% each) reported that pregnancy complications
were the prime reason for undergoing the abortion.
 Compared with other states and union territories, a higher proportion of women in Puducherry (38%) and
Chhattisgarh (25%) reported that they sought the abortion as their last child was too young to have the next birth
(Table 6.18).
213
LIST OF TABLES
For more information on the proximate determinants of fertility, see the following tables:
Tables
Table 6.1 Current marital status
Table 6.2 Age at first marriage
Table 6.3.1 Median age at first marriage: Women
Table 6.3.2 Median age at first marriage: Men
Table 6.4 Age at first marriage by state/union territory
Table 6.5 Consanguineous marriages
Table 6.6 Consanguineous marriages by state/union territory
Table 6.7 Age at first sexual intercourse
Table 6.8.1 Median age at first sexual intercourse: Women
Table 6.8.2 Median age at first sexual intercourse: Men
Table 6.9.1 Most recent sexual activity: Women
Table 6.9.2 Most recent sexual activity: Men
Table 6.10 Postpartum amenorrhoea, abstinence, and insusceptibility
Median duration of postpartum amenorrhoea, postpartum abstinence, and postpartum
Table 6.11
insusceptibility
Table 6.12 Menopause
Table 6.13 Non-live births
Table 6.14 Non-live births by state/union territory
Table 6.15 Pregnancy outcome
Table 6.16 Pregnancy outcome by state/union territory
Table 6.17 Characteristics of abortions
Table 6.18 Main reason for abortions by state/union territory
214
Table 6.1 Current marital status
Percent distribution of women age 15-49 and men age 15-54 by current marital status, according to age and residence, India, 2019-21
Marital status
Married,
Never Currently gauna not Number of
Age married married performed Widowed Divorced Separated Deserted Total respondents
URBAN WOMEN
15-19 92.5 7.3 0.1 0.0 0.0 0.1 0.0 100.0 34,543
20-24 52.8 46.3 0.1 0.2 0.2 0.3 0.1 100.0 36,555
25-29 17.4 80.7 0.0 0.7 0.4 0.7 0.1 100.0 38,272
30-34 4.3 91.8 0.0 2.1 0.6 1.0 0.1 100.0 34,392
35-39 2.1 91.8 0.0 3.9 0.7 1.2 0.2 100.0 33,869
40-44 1.7 89.6 0.0 6.8 0.5 1.1 0.3 100.0 28,657
45-49 1.2 85.3 0.0 11.5 0.6 1.1 0.3 100.0 28,991
Total 25.9 69.4 0.1 3.3 0.4 0.8 0.1 100.0 235,279
URBAN MEN
15-19 98.9 1.0 0.1 0.0 0.0 0.0 0.0 100.0 5,290
20-24 87.6 12.1 0.0 0.0 0.2 0.1 0.0 100.0 5,248
25-29 51.8 46.7 0.1 0.2 0.3 0.9 0.0 100.0 4,975
30-34 21.3 77.7 0.0 0.1 0.4 0.3 0.1 100.0 4,729
35-39 6.2 91.8 0.0 0.7 0.8 0.5 0.0 100.0 4,667
40-44 3.7 94.5 0.0 0.5 0.8 0.4 0.1 100.0 3,878
45-49 3.7 94.1 0.0 1.2 0.6 0.3 0.0 100.0 4,065
50-54 2.7 94.4 0.0 2.2 0.1 0.4 0.2 100.0 2,985
Total age 15-49 42.6 56.2 0.0 0.4 0.4 0.4 0.0 100.0 32,852
Total age 15-54 39.3 59.4 0.0 0.5 0.4 0.4 0.0 100.0 35,837
RURAL WOMEN
15-19 84.5 14.6 0.7 0.0 0.0 0.1 0.0 100.0 88,000
20-24 32.8 65.9 0.4 0.3 0.2 0.4 0.1 100.0 82,885
25-29 7.3 90.5 0.1 0.9 0.4 0.7 0.1 100.0 78,873
30-34 1.9 94.5 0.0 2.3 0.3 0.8 0.1 100.0 65,992
35-39 1.0 93.6 0.0 4.1 0.4 0.8 0.2 100.0 63,683
40-44 0.9 90.4 0.0 7.0 0.4 1.0 0.2 100.0 53,130
45-49 0.6 87.2 0.0 10.8 0.3 0.9 0.2 100.0 56,272
Total 22.5 73.2 0.2 3.0 0.3 0.6 0.1 100.0 488,836
RURAL MEN
15-19 97.7 2.0 0.3 0.0 0.0 0.0 0.0 100.0 11,095
20-24 73.5 25.4 0.6 0.0 0.2 0.2 0.0 100.0 9,136
25-29 35.4 63.3 0.1 0.3 0.5 0.4 0.0 100.0 9,220
30-34 11.7 86.8 0.1 0.5 0.4 0.5 0.0 100.0 8,379
35-39 3.8 94.2 0.1 0.9 0.4 0.5 0.2 100.0 8,361
40-44 1.9 95.6 0.0 1.2 0.5 0.6 0.1 100.0 6,968
45-49 1.8 95.8 0.1 1.4 0.2 0.7 0.1 100.0 7,132
50-54 1.0 95.4 0.1 2.6 0.5 0.3 0.1 100.0 5,711
Total age 15-49 37.1 61.4 0.2 0.5 0.3 0.4 0.1 100.0 60,291
Total age 15-54 34.0 64.3 0.2 0.7 0.3 0.4 0.1 100.0 66,002
Continued…
215
Table 6.1 Current marital status—Continued
Percent distribution of women age 15-49 and men age 15-54 by current marital status, according to age and residence, India, 2019-21
Marital status
Married,
Never Currently gauna not Number of
Age married married performed Widowed Divorced Separated Deserted Total respondents
TOTAL WOMEN
15-19 86.7 12.6 0.6 0.0 0.0 0.1 0.0 100.0 122,544
20-24 38.9 59.9 0.3 0.2 0.2 0.4 0.1 100.0 119,440
25-29 10.6 87.3 0.1 0.9 0.4 0.7 0.1 100.0 117,145
30-34 2.7 93.6 0.0 2.2 0.4 0.9 0.1 100.0 100,384
35-39 1.4 93.0 0.0 4.0 0.5 1.0 0.2 100.0 97,552
40-44 1.2 90.1 0.0 7.0 0.4 1.0 0.2 100.0 81,787
45-49 0.8 86.5 0.0 11.1 0.4 0.9 0.2 100.0 85,264
Total 23.6 72.0 0.2 3.1 0.3 0.7 0.1 100.0 724,115
TOTAL MEN
15-19 98.1 1.7 0.2 0.0 0.0 0.0 0.0 100.0 16,385
20-24 78.7 20.5 0.4 0.0 0.2 0.2 0.0 100.0 14,384
25-29 41.1 57.5 0.1 0.3 0.5 0.5 0.0 100.0 14,195
30-34 15.2 83.5 0.1 0.3 0.4 0.4 0.1 100.0 13,109
35-39 4.6 93.4 0.1 0.8 0.5 0.5 0.1 100.0 13,029
40-44 2.5 95.2 0.0 0.9 0.6 0.5 0.1 100.0 10,846
45-49 2.5 95.2 0.0 1.3 0.4 0.6 0.1 100.0 11,197
50-54 1.6 95.0 0.1 2.5 0.4 0.4 0.1 100.0 8,695
Total age 15-49 39.1 59.6 0.1 0.5 0.3 0.4 0.1 100.0 93,144
Total age 15-54 35.9 62.6 0.1 0.6 0.4 0.4 0.1 100.0 101,839
216
Table 6.2 Age at first marriage
Percentage of women age 15-49 and men age 15-54 who were first married by specific exact ages, percentage never married, and median
age at first marriage and first cohabitation with spouse, according to current age, India, 2019-21
Percentage first married by exact age: Percentage Median age Median age
never Number of at first at first
Current age 15 18 20 21 25 married respondents marriage cohabitation
WOMEN
15-19 1.7 na na na na 87.3 122,544 a a

20-24 4.8 23.3 43.1 na na 39.2 119,440 a a
25-29 9.0 32.2 52.8 61.4 83.0 10.6 117,145 19.7 19.8
30-34 13.7 39.6 58.3 66.4 86.6 2.8 100,384 19.1 19.2
35-39 16.1 45.5 64.0 71.1 88.3 1.4 97,552 18.4 18.6
40-44 18.2 47.7 66.4 73.6 89.6 1.2 81,787 18.2 18.4
45-49 17.8 47.0 65.7 72.6 89.0 0.9 85,264 18.3 18.4
20-49 12.6 38.0 57.3 na na 10.8 601,571 19.2 19.3
25-49 14.5 41.7 60.8 68.5 87.0 3.8 482,132 18.8 18.9
MEN
15-19 0.1 na na na na 98.3 16,385 a a

20-24 0.2 2.6 7.8 na na 79.0 14,384 a a
25-29 0.7 4.7 12.3 17.7 42.9 41.2 14,195 a a
30-34 1.3 7.2 15.2 21.0 47.8 15.3 13,109 25.3 25.3
35-39 1.6 9.8 20.3 26.4 54.0 4.7 13,029 24.4 24.4
40-44 1.6 9.0 19.1 26.7 54.5 2.6 10,846 24.3 24.3
45-49 1.7 8.7 19.9 26.6 54.8 2.5 11,197 24.3 24.3
50-54 1.8 8.7 18.3 24.6 53.5 1.7 8,695 24.5 24.5
20-49 1.1 6.8 15.4 na na 26.6 76,759 a a
25-49 1.3 7.8 17.1 23.4 50.4 14.5 62,375 24.9 24.9
na = Not applicable due to censoring

a = Omitted because less than 50 percent of the women or men were married or began living with their spouse before reaching the beginning of the age
group.
217
Table 6.3.1 Median age at first marriage: Women
Median age at first marriage among women age 20-49, by current age, according to background characteristics, India, 2019-21
Age Women Women

Background characteristic 20-24 25-29 30-34 35-39 40-44 45-49 age 20-49 age 25-49
Residence
Urban a 21.3 20.5 19.8 19.5 19.3 a 20.1
Rural a 19.1 18.4 17.9 17.6 17.8 18.6 18.2
Schooling
No schooling 18.1 17.5 17.0 16.9 16.9 17.3 17.2 17.1
<5 years complete 18.2 17.6 17.3 17.2 17.4 17.6 17.5 17.4
5-7 years complete 18.5 18.1 17.8 17.8 17.7 18.0 18.0 17.9
8-9 years complete 19.1 18.9 18.9 18.6 18.6 18.8 18.9 18.8
10-11 years complete 19.7 19.4 19.6 19.6 19.7 20.0 19.6 19.6
12 or more years complete a 23.0 22.8 22.7 22.3 22.5 a 22.8
Religion
Hindu a 19.7 19.0 18.3 18.1 18.2 19.1 18.7
Muslim a 19.5 18.9 18.4 18.3 18.3 19.1 18.7
Christian a 22.5 21.9 21.2 21.2 21.5 a 21.7
Sikh a 22.8 21.5 20.8 20.3 20.4 a 21.2
Buddhist/Neo-Buddhist a 20.3 20.8 19.4 19.6 18.6 a 19.7
Jain a 24.7 23.0 22.3 22.4 22.1 a 22.7
Other a 19.4 19.3 18.9 19.8 19.5 19.7 19.4
Caste/tribe
Scheduled caste a 19.4 18.7 17.9 17.6 17.7 18.8 18.3
Scheduled tribe a 19.3 18.7 18.2 18.1 18.4 18.9 18.6
Other backward class a 19.6 18.9 18.3 18.1 18.2 19.1 18.7
Other a 20.5 19.9 19.3 19.0 18.9 19.9 19.6
Don't know 18.6 18.1 17.8 17.6 17.5 17.3 17.9 17.8
Wealth quintile
Lowest 18.8 17.9 17.3 17.2 17.3 17.5 17.7 17.5
Second 19.8 18.6 17.9 17.4 17.3 17.6 18.2 17.8
Middle a 19.4 18.6 18.1 17.7 17.9 18.8 18.4
Fourth a 20.5 19.9 18.9 18.5 18.4 19.8 19.3
Highest a 22.8 21.8 20.8 20.2 19.7 a 21.1
Total a 19.7 19.1 18.4 18.2 18.3 19.2 18.8
a = Omitted because less than 50 percent of the women were married before reaching the beginning of the age group
218
Table 6.3.2 Median age at first marriage: Men
Median age at first marriage among men age 25-54, by current age, according to background characteristics, India, 2019-21
Age Men
age
Background characteristic 25-29 30-34 35-39 40-44 45-49 50-54 25-49
Residence
Urban a 27.0 26.1 25.9 25.8 26.0 a
Rural a 24.4 23.5 23.5 23.3 23.8 24.1
Schooling
No schooling 22.6 21.7 21.2 21.6 22.4 23.1 21.9
<5 years complete 22.4 22.3 22.1 22.7 22.5 23.3 22.4
5-7 years complete 23.3 23.2 23.0 23.1 23.5 24.0 23.2
8-9 years complete 24.6 24.5 24.3 23.9 24.1 24.8 24.3
10-11 years complete a 25.6 25.5 25.3 25.0 25.2 a
12 or more years complete a 28.0 27.6 27.6 27.0 26.8 a
Religion
Hindu a 25.3 24.3 24.3 24.1 24.5 24.9
Muslim a 25.1 24.4 23.9 24.4 24.2 24.7
Christian a 26.6 26.6 25.8 27.5 26.6 a
Sikh a 26.1 25.4 24.2 24.3 24.1 a
Buddhist/Neo-Buddhist a 27.4 26.6 26.9 24.5 25.1 a
Jain a 28.4 21.8 26.9 27.5 25.6 a
Other 23.8 25.3 a 22.7 27.3 24.5 a
Caste/tribe
Scheduled caste a 24.7 23.4 23.8 23.2 23.1 24.1
Scheduled tribe 24.5 23.8 23.1 22.7 23.5 23.9 23.6
Other backward class a 25.5 24.5 24.1 24.3 24.4 25.0
Other a 26.2 25.7 25.4 25.2 25.5 a
Don't know a 22.9 22.8 24.7 23.2 20.9 24.1
Wealth quintile
Lowest 22.9 22.0 21.7 22.1 22.3 23.3 22.2
Second 24.2 23.7 22.8 22.9 23.3 23.6 23.4
Middle a 24.8 24.1 23.9 23.7 24.3 24.6
Fourth a 26.6 25.8 25.5 24.9 24.6 a
Highest a 27.7 27.0 26.7 26.1 26.3 a
Total a 25.3 24.4 24.3 24.3 24.5 24.9
a = Omitted because less than 50 percent of the men were married before reaching the beginning of the age group
219
Table 6.4 Age at first marriage by state/union territory
Percentage of women age 18-29 who were first married by exact age 18 and percentage of men age 21-29 who were first married by
exact age 21, by residence and state/union territory, India, 2019-21
Women Men
India 16.5 28.4 24.7 9.2 18.5 15.2
North
Chandigarh 8.6 * 8.5 (0.0) * (0.0)
Delhi 13.4 12.1 13.3 9.2 * 9.1
Haryana 12.8 17.0 15.6 14.2 13.3 13.6
Himachal Pradesh 7.6 7.1 7.2 (10.5) 4.8 5.5
Jammu & Kashmir 2.9 6.3 5.5 5.0 7.7 7.1
Ladakh 4.2 6.2 5.8 * 18.8 16.2
Punjab 9.8 10.3 10.1 8.8 8.8 8.8
Rajasthan 16.1 26.9 24.5 13.8 27.9 23.9
Uttarakhand 13.7 14.4 14.2 13.5 13.1 13.3
Central
Chhattisgarh 10.9 17.0 15.5 6.1 15.1 13.0
Madhya Pradesh 15.5 28.8 25.3 10.2 28.4 23.6
Uttar Pradesh 12.6 20.8 18.8 13.6 20.2 18.4
East
Bihar 29.2 42.4 40.3 16.2 27.7 24.9
Jharkhand 22.3 38.5 34.7 10.0 25.7 21.8
Odisha 18.2 23.0 22.2 7.6 13.0 11.9
West Bengal 27.5 48.9 42.3 9.0 24.4 19.7
Northeast
Assam 20.9 33.7 31.9 16.0 19.1 18.6
Manipur 12.1 16.2 14.7 13.9 17.7 16.0
Meghalaya 10.8 21.5 19.2 (9.3) 21.4 19.0
Mizoram 4.6 14.6 8.9 6.6 17.1 10.4
Nagaland 5.1 7.5 6.6 5.6 3.3 4.2
Sikkim 12.8 16.2 14.6 * 13.9 6.8
Tripura 32.2 41.5 39.0 (7.1) 20.9 17.2
West
Dadra & Nagar Haveli and Daman & Diu 26.4 29.3 27.9 16.3 (11.0) 13.2
Goa 8.3 5.7 7.2 9.3 (0.0) 5.9
Gujarat 13.8 25.3 20.6 13.0 32.1 24.2
Maharashtra 16.6 29.9 23.6 7.6 10.0 8.8
South
Andaman & Nicobar Islands 17.0 19.1 18.2 * 5.4 5.4
Andhra Pradesh 25.7 36.5 33.0 9.8 13.7 12.4
Karnataka 18.3 26.2 23.1 3.1 5.4 4.5
Kerala 5.3 9.6 7.6 0.0 1.9 1.1
Lakshadweep 3.9 3.7 3.8 * * (0.0)
Puducherry 8.6 7.2 8.1 5.9 * 3.7
Tamil Nadu 10.9 15.6 13.3 4.3 3.9 4.1
Telangana 20.2 31.8 27.3 10.2 14.7 12.9
Note: Figures in parenthesis are based on 25-49 unweighted cases. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and
has been suppressed.
220
Table 6.5 Consanguineous marriages
Percent distribution of ever-married women age 15-49 by relationship to current (last) husband before their marriage, and percentage
married to a blood relative, according to background characteristics, India, 2019-21
First cousin Other Percentage

Other non- married to a
Father's Mother's Second blood Brother- blood Not blood Number
Background characteristic side side cousin Uncle relative in-law relative related Total relative of women
Age
15-19 4.9 5.6 0.8 0.4 3.0 0.8 3.7 80.8 100.0 14.7 15,584
20-24 4.4 4.3 0.7 0.3 2.5 0.7 2.3 84.8 100.0 12.2 72,660
25-29 4.0 4.1 0.7 0.3 2.1 0.6 1.9 86.5 100.0 11.0 104,679
30-34 3.8 3.7 0.6 0.3 1.9 0.5 1.6 87.7 100.0 10.2 97,617
35-39 4.0 3.9 0.6 0.3 1.9 0.5 1.3 87.5 100.0 10.7 96,200
40-44 3.9 3.7 0.5 0.3 1.7 0.4 1.2 88.2 100.0 10.2 80,766
45-49 3.9 3.7 0.5 0.3 1.4 0.5 1.0 88.6 100.0 9.9 84,534
Residence
Urban 4.1 4.1 0.6 0.3 1.9 0.4 1.8 86.7 100.0 11.0 174,237
Rural 4.0 3.9 0.6 0.3 1.9 0.6 1.5 87.2 100.0 10.7 377,803
Schooling
No schooling 3.7 3.7 0.6 0.3 1.7 0.6 1.1 88.4 100.0 9.9 156,879
<5 years complete 4.2 4.2 0.6 0.2 2.1 0.4 1.7 86.6 100.0 11.3 34,866
5-7 years complete 4.8 4.5 0.6 0.3 2.1 0.5 1.6 85.5 100.0 12.4 84,089
8-9 years complete 3.7 3.8 0.7 0.3 2.2 0.5 2.1 86.7 100.0 10.7 88,781
10-11 years complete 4.6 4.6 0.6 0.3 2.1 0.6 1.7 85.5 100.0 12.2 68,869
12 or more years
complete 3.6 3.6 0.5 0.2 1.9 0.4 1.9 87.8 100.0 9.8 118,556
Religion
Hindu 3.7 3.6 0.5 0.3 1.9 0.5 1.6 87.8 100.0 10.1 452,343
Muslim 5.9 6.2 1.2 0.3 2.2 0.8 1.5 81.9 100.0 15.8 72,039
Christian 4.3 4.3 0.6 0.6 2.2 0.5 2.3 85.2 100.0 11.9 12,444
Sikh 1.4 1.5 0.4 0.4 1.1 0.2 1.3 93.7 100.0 4.8 8,521
Buddhist/Neo-Buddhist 7.1 4.7 0.3 0.1 2.4 0.1 1.8 83.6 100.0 14.5 3,432
Jain 2.6 3.0 0.4 0.0 0.9 0.5 1.1 91.5 100.0 6.9 1,206
Other 1.9 2.3 0.4 0.1 2.4 0.2 2.1 90.6 100.0 7.2 2,055
Caste/tribe
Scheduled caste 4.1 3.9 0.6 0.3 1.9 0.5 1.6 87.1 100.0 10.8 120,271
Scheduled tribe 3.5 3.7 0.4 0.2 2.1 0.4 2.5 87.2 100.0 9.9 51,283
Other backward class 4.5 4.6 0.6 0.4 2.0 0.6 1.3 86.0 100.0 12.1 237,147
Other 3.4 2.9 0.6 0.2 1.8 0.4 1.8 88.8 100.0 8.9 139,026
Don't know 3.1 2.9 1.1 0.2 2.0 1.0 2.1 87.6 100.0 9.3 4,313
Wealth quintile
Lowest 2.7 2.4 0.4 0.2 1.8 0.5 1.9 90.1 100.0 7.5 104,454
Second 3.9 3.9 0.6 0.3 2.1 0.5 1.6 87.1 100.0 10.8 110,981
Middle 4.9 5.0 0.6 0.3 2.1 0.6 1.5 84.8 100.0 13.0 113,723
Fourth 4.9 4.8 0.6 0.4 2.0 0.5 1.5 85.3 100.0 12.7 114,422
Highest 3.5 3.5 0.6 0.3 1.7 0.4 1.6 88.4 100.0 9.6 108,460
Total 4.0 4.0 0.6 0.3 1.9 0.5 1.6 87.1 100.0 10.8 552,040
221
Table 6.6 Consanguineous marriages by state/union territory
Percent distribution of ever-married women age 15-49 by relationship to current (last) husband before their marriage, according to
state/ union territory, India, 2019-21
Other Percentage
First cousin Other non- married to
Father's Mother's Second blood Brother- blood Not a blood
State/union territory side side cousin Uncle relative in-law relative related Total relative
India 4.0 4.0 0.6 0.3 1.9 0.5 1.6 87.1 100.0 10.8
North
Chandigarh 0.6 0.7 0.2 0.0 0.2 0.0 1.9 96.5 100.0 1.7
Delhi 1.8 1.5 0.6 0.1 1.5 0.2 2.4 91.9 100.0 5.5
Haryana 1.3 1.1 0.3 0.1 0.9 0.4 1.2 94.7 100.0 3.7
Jammu & Kashmir 3.9 4.6 2.0 0.1 1.1 0.1 0.7 87.6 100.0 11.6
Ladakh 5.4 5.6 2.7 0.1 2.0 0.1 1.6 82.5 100.0 15.8
Punjab 1.4 1.4 0.3 0.4 1.1 0.2 1.3 93.8 100.0 4.7
Rajasthan 1.4 1.3 0.9 0.1 0.9 0.2 0.7 94.3 100.0 4.7
Uttarakhand 1.0 1.8 0.4 0.1 1.0 0.6 1.1 94.1 100.0 4.2
Central
Chhattisgarh 1.5 1.8 0.1 0.1 0.9 0.2 1.0 94.3 100.0 4.5
Madhya Pradesh 1.8 1.9 0.4 0.2 1.6 0.2 1.3 92.7 100.0 5.8
Uttar Pradesh 3.7 3.1 0.8 0.2 2.2 1.1 1.1 87.8 100.0 10.0
East
Bihar 1.6 2.0 0.4 0.3 1.7 0.7 1.1 92.2 100.0 6.1
Jharkhand 1.2 1.4 0.3 0.3 1.3 0.5 0.9 94.2 100.0 4.3
Odisha 3.0 3.2 0.5 0.5 5.6 0.4 6.9 80.0 100.0 12.7
West Bengal 1.1 1.2 0.3 0.0 0.8 0.2 3.1 93.2 100.0 3.5
Northeast
Assam 0.6 0.6 0.3 0.1 1.7 0.2 4.7 91.8 100.0 3.3
Manipur 0.2 0.2 0.1 0.0 0.7 0.0 3.2 95.6 100.0 1.2
Meghalaya 1.7 0.1 0.3 0.2 2.7 0.1 3.2 91.7 100.0 4.9
Mizoram 0.3 0.1 0.3 0.0 0.3 0.0 0.2 98.8 100.0 1.0
Nagaland 0.3 0.6 0.3 0.3 0.7 0.1 3.6 94.1 100.0 2.1
Sikkim 0.2 0.1 0.0 0.1 0.1 0.1 7.5 91.8 100.0 0.5
Tripura 0.3 0.3 0.6 0.1 1.3 0.1 5.1 92.3 100.0 2.5
West
and Daman & Diu 1.4 0.6 0.2 0.0 0.5 0.2 0.2 96.8 100.0 2.8
Goa 1.0 2.3 0.6 0.1 1.7 0.1 1.0 93.2 100.0 5.7
Gujarat 2.4 2.1 0.3 0.2 1.3 0.2 1.1 92.4 100.0 6.4
Maharashtra 6.8 4.8 0.5 0.1 2.6 0.1 1.7 83.4 100.0 14.8
South
Andaman & Nicobar
Islands 1.9 3.5 0.3 0.7 0.8 0.1 1.9 90.9 100.0 7.1
Andhra Pradesh 10.5 11.6 1.3 1.0 2.0 0.7 0.5 72.3 100.0 26.4
Karnataka 9.6 13.9 0.5 0.2 2.5 0.1 0.5 72.8 100.0 26.6
Kerala 1.9 1.3 0.5 0.0 0.7 0.0 0.8 94.7 100.0 4.4
Lakshadweep 5.4 1.4 0.9 0.0 0.4 0.0 3.6 88.3 100.0 8.1
Puducherry 7.6 7.6 1.0 1.2 1.8 0.4 3.0 77.5 100.0 19.2
Tamil Nadu 10.0 11.2 1.5 1.2 4.0 0.1 1.3 70.8 100.0 27.9
Telangana 9.9 5.3 0.1 1.0 2.0 4.7 0.7 76.3 100.0 18.2
222
Table 6.7 Age at first sexual intercourse
Percentage of women age 15-49 and men age 15-54 who had first sexual intercourse by specific exact ages, percentage who never had
intercourse, and median age at first intercourse, according to current age, India, 2019-21
Percentage Median age

Percentage who had first sexual intercourse by exact age: who never at first
had sexual Number of sexual
Current age 15 18 20 21 22 25 intercourse respondents intercourse
WOMEN
15-19 1.2 na na na na na 84.9 122,544 a

20-24 3.4 21.0 42.5 na na na 37.3 119,440 a
25-29 6.5 29.2 51.8 60.7 67.2 81.6 9.9 117,145 19.8
30-34 9.7 36.3 57.5 65.9 72.2 85.0 2.5 100,384 19.2
35-39 11.3 42.0 63.3 71.0 76.2 87.0 1.3 97,552 18.6
40-44 12.8 43.9 65.2 73.2 78.2 88.0 1.1 81,787 18.5
45-49 12.7 44.5 65.7 73.5 78.4 88.6 0.8 85,264 18.4
20-49 8.9 35.0 56.6 na na na 10.2 601,571 19.3
25-49 10.3 38.5 60.0 68.2 73.9 85.7 3.5 482,132 18.9
MEN
15-19 0.7 na na na na na 92.3 16,385 a

20-24 0.3 4.6 15.2 na na na 64.0 14,384 a
25-29 0.6 4.9 13.6 20.2 26.5 49.3 31.7 14,195 a
30-34 1.0 5.9 14.8 22.2 28.1 49.2 11.2 13,109 25.1
35-39 1.0 7.3 18.3 25.7 32.5 53.0 3.6 13,029 24.5
40-44 1.1 7.0 17.8 26.5 33.6 53.3 2.0 10,846 24.5
45-49 0.6 6.1 17.2 24.9 31.3 53.6 1.8 11,197 24.5
50-54 0.7 5.6 14.6 22.3 29.0 51.8 1.2 8,695 24.8
20-49 0.7 5.9 16.0 na na na 20.9 76,759 a
25-49 0.8 6.2 16.2 23.7 30.2 51.5 11.0 62,375 24.8
na = Not applicable due to censoring

a = Omitted because less than 50 percent of the women or men had intercourse before reaching the beginning of the age group
223
Table 6.8.1 Median age at first sexual intercourse: Women
Median age at first sexual intercourse among women age 20-49, by current age, according to background characteristics, India, 2019-21
Current age Women Women

Background characteristic 20-24 25-29 30-34 35-39 40-44 45-49 age 20-49 age 25-49
Residence
Urban a 21.4 20.6 19.8 19.6 19.3 a 20.2
Rural a 19.2 18.6 18.2 18.0 18.1 18.8 18.5
Schooling
No schooling 18.4 17.8 17.5 17.3 17.4 17.6 17.6 17.5
<5 years complete 18.3 17.8 17.7 17.6 17.7 17.7 17.8 17.7
5-7 years complete 18.6 18.3 18.2 18.1 18.1 18.2 18.2 18.2
8-9 years complete 19.2 19.0 18.9 18.8 18.8 19.0 19.0 18.9
10-11 years complete 19.8 19.5 19.7 19.6 19.8 20.1 19.7 19.7
12 or more years complete a 23.0 22.8 22.6 22.3 22.5 a 22.8
Religion
Hindu a 19.8 19.1 18.6 18.4 18.4 19.2 18.9
Muslim a 19.5 18.9 18.5 18.4 18.2 19.0 18.8
Christian a 22.5 21.7 20.9 21.0 21.0 a 21.5
Sikh a 22.8 21.6 20.8 20.4 20.3 a 21.2
Buddhist/Neo-Buddhist a 20.2 20.3 19.1 19.3 18.6 20.0 19.5
Jain a 24.7 23.0 22.0 22.5 21.5 a 22.7
Other a 19.2 18.9 19.0 19.7 19.3 19.5 19.2
Caste/tribe
Scheduled caste a 19.5 18.8 18.2 18.0 17.9 18.9 18.5
Scheduled tribe a 19.3 18.7 18.4 18.3 18.4 18.9 18.7
Other backward class a 19.7 19.1 18.6 18.5 18.4 19.2 18.9
Other a 20.6 19.9 19.4 19.1 18.9 20.0 19.6
Don't know 18.9 18.6 18.2 17.7 17.5 17.7 18.2 18.0
Wealth quintile
Lowest 18.9 18.2 17.7 17.6 17.8 17.8 18.1 17.8
Second 19.8 18.7 18.2 17.8 17.7 17.9 18.5 18.2
Middle a 19.5 18.8 18.3 18.0 18.1 18.9 18.6
Fourth a 20.6 19.9 19.0 18.7 18.5 19.9 19.4
Highest a 22.9 21.9 20.8 20.2 19.8 a 21.2
Total a 19.8 19.2 18.6 18.5 18.4 19.3 18.9
a = Omitted because less than 50 percent of the women had intercourse before reaching the beginning of the age group
224
Table 6.8.2 Median age at first sexual intercourse: Men
Median age at first sexual intercourse among men age 25-54, by current age, according to background characteristics, India, 2019-21
Current age Men age

Background characteristic 25-29 30-34 35-39 40-44 45-49 50-54 25-49
Residence
Urban a 26.5 25.8 26.0 25.7 26.2 a
Rural 24.5 24.3 23.8 23.6 23.8 24.1 24.0
Schooling
No schooling 22.5 21.8 21.3 21.9 22.8 23.0 22.1
<5 years complete 22.6 22.4 22.8 22.8 22.7 23.5 22.6
5-7 years complete 22.8 23.2 23.1 23.2 23.5 24.5 23.1
8-9 years complete 24.1 24.5 24.5 24.2 24.7 25.1 24.4
10-11 years complete 24.7 25.5 25.5 25.5 25.1 25.5 a
12 or more years complete a 27.7 27.6 27.4 26.9 27.3 a
Religion
Hindu a 25.1 24.5 24.4 24.4 24.7 24.7
Muslim 24.9 24.8 24.2 24.2 24.5 24.2 24.6
Christian a 26.1 25.6 25.7 26.7 26.7 a
Sikh a 24.9 25.5 24.0 24.0 24.8 a
Buddhist/Neo-Buddhist 24.4 25.9 25.0 26.6 24.6 26.2 a
Jain a 28.6 22.5 27.8 25.6 26.1 a
Other 23.6 25.3 a 22.9 27.3 26.8 a
Caste/tribe
Scheduled caste 24.5 24.6 23.7 23.7 23.8 23.9 24.1
Scheduled tribe 23.5 23.9 22.9 22.7 23.0 23.0 23.2
Other backward class a 25.3 24.6 24.2 24.4 24.7 24.8
Other a 25.7 25.6 25.6 25.4 25.6 a
Don't know a 22.6 24.9 24.8 26.6 26.6 24.8
Wealth quintile
Lowest 22.4 22.2 22.0 22.2 22.8 23.2 22.3
Second 23.6 23.7 23.2 23.0 23.5 24.0 23.4
Middle a 24.8 24.2 24.1 24.1 24.5 24.5
Fourth a 26.3 25.9 25.6 24.8 25.0 a
Highest a 27.4 26.7 26.5 26.1 26.6 a
Total a 25.1 24.5 24.5 24.5 24.8 24.8
a = Omitted because less than 50 percent of the men had intercourse before reaching the beginning of the age group
225
Table 6.9.1 Most recent sexual activity: Women
Percent distribution of women age 15-49 by timing of last sexual intercourse, according to background characteristics, India, 2019-21
Median
Timing of last sexual intercourse number of
Within Within One or Never had days since
the last the last 4 Within 1 more sexual Number last sexual
Background characteristic week weeks1 year2 years Missing intercourse Total of women intercourse3
Age
15-19 6.3 2.1 4.6 0.4 1.7 84.9 100.0 18,240 7.7
20-24 28.3 11.4 16.2 1.4 5.7 37.0 100.0 17,809 7.3
25-29 42.6 19.7 18.1 2.7 7.2 9.6 100.0 17,398 7.1
30-34 46.7 23.8 16.6 4.3 6.1 2.5 100.0 15,295 7.0
35-39 39.9 26.9 18.4 7.5 6.1 1.3 100.0 14,558 7.5
40-44 30.7 28.3 22.9 11.5 5.7 0.9 100.0 11,973 10.8
45-49 21.6 25.0 25.0 18.8 8.4 1.1 100.0 12,741 21.2
Marital status
Never married 0.2 0.4 1.8 0.7 0.8 96.2 100.0 25,505 a
Widowed/divorced/
separated/deserted 0.9 1.8 9.8 64.7 22.3 0.5 100.0 4,780 a
Marital duration4
0-4 years 46.3 18.1 25.7 1.0 8.7 0.1 100.0 13,721 7.7
5-9 years 48.4 22.6 19.6 1.3 8.0 0.0 100.0 13,895 7.6
10-14 years 50.2 25.5 16.5 2.5 5.3 0.0 100.0 12,875 7.6
15-19 years 45.5 28.5 18.4 3.5 4.2 0.0 100.0 11,782 7.6
20-24 years 36.3 29.8 23.1 5.7 5.1 0.0 100.0 11,276 7.9
25 or more years 26.3 29.6 28.3 9.9 5.9 0.0 100.0 12,920 7.8
Married more than once 39.3 26.0 23.7 4.5 6.5 0.0 100.0 1,261 7.6
Residence
Urban 29.5 18.9 14.9 6.8 5.1 24.8 100.0 34,839 7.6
Rural 31.0 18.3 17.5 5.4 6.0 21.8 100.0 73,175 7.7
Schooling
No schooling 33.4 23.4 21.6 10.0 7.7 3.8 100.0 24,485 10.3
<5 years complete 37.4 22.2 18.4 9.4 6.4 6.2 100.0 5,715 7.6
5-7 years complete 35.3 21.0 18.3 6.6 6.1 12.6 100.0 14,547 7.6
8-9 years complete 30.0 16.2 14.9 4.0 4.5 30.4 100.0 19,237 7.4
10-11 years complete 25.9 15.5 13.0 4.3 4.9 36.5 100.0 16,278 7.5
12 or more years
complete 27.2 15.4 14.5 3.2 4.9 34.8 100.0 27,751 7.5
Religion
Hindu 30.5 18.9 17.0 5.9 5.5 22.2 100.0 87,179 7.7
Muslim 31.5 16.9 15.3 5.0 6.4 24.9 100.0 15,138 7.5
Christian 25.5 16.0 16.2 7.6 9.6 25.1 100.0 2,495 7.8
Sikh 31.8 18.1 14.5 5.6 4.3 25.7 100.0 1,908 7.4
Buddhist/Neo-Buddhist 30.3 16.8 13.9 7.7 9.4 21.9 100.0 652 7.8
Jain 29.7 22.5 12.6 7.1 0.0 28.0 100.0 214 7.4
Other 31.8 17.7 15.8 6.6 4.0 24.1 100.0 428 7.6
Continued…
226
Table 6.9.1 Most recent sexual activity: Women—Continued
Percent distribution of women age 15-49 by timing of last sexual intercourse, according to background characteristics, India, 2019-21
Median
Timing of last sexual intercourse number of
Background characteristic week weeks1 year2 years Missing intercourse Total of women intercourse3
Caste/tribe
Scheduled caste 30.8 17.9 16.8 5.7 5.6 23.1 100.0 23,427 7.7
Scheduled tribe 32.9 18.4 14.7 5.6 6.5 22.0 100.0 9,909 7.4
Other 32.2 19.1 14.9 5.8 5.4 22.5 100.0 26,733 7.5
Don't know 30.9 18.0 18.6 5.0 11.2 16.3 100.0 694 7.5
Wealth quintile
Lowest 31.3 17.0 18.4 5.4 6.9 20.9 100.0 19,904 7.8
Second 30.5 17.2 17.8 5.7 6.1 22.6 100.0 22,049 7.8
Middle 29.8 18.9 16.7 6.3 5.7 22.6 100.0 22,252 7.7
Fourth 30.2 18.9 15.6 6.1 5.3 23.9 100.0 22,376 7.6
Highest 30.8 20.2 15.0 5.6 4.6 23.7 100.0 21,432 7.5
Total 30.5 18.5 16.7 5.8 5.7 22.8 100.0 108,014 7.7
a = Omitted because less than 50 percent of women ever had sexual intercourse
1
Excludes women who had sexual intercourse within the last 1 week
2
Excludes women who had sexual intercourse within the last 1 and 4 weeks
3
Among those who have ever had sexual intercourse
4
Excludes women who are not currently married
227
Table 6.9.2 Most recent sexual activity: Men
Percent distribution of men age 15-49 by timing of last sexual intercourse, according to background characteristics, India, 2019-21
Timing of last sexual intercourse Median

number of
Background characteristic week weeks1 year2 years Missing intercourse Total of men intercourse3
Age
15-19 1.5 1.0 4.3 0.6 0.3 92.3 100.0 16,385 a
20-24 12.7 5.5 12.5 4.1 1.2 64.0 100.0 14,384 15.5
25-29 33.3 11.3 14.9 5.0 3.7 31.7 100.0 14,195 5.7
30-34 46.4 19.2 13.8 5.2 4.2 11.2 100.0 13,109 5.3
35-39 47.5 24.6 12.4 6.4 5.5 3.6 100.0 13,029 5.7
40-44 42.7 29.0 12.5 7.4 6.3 2.0 100.0 10,846 7.1
45-49 34.3 30.3 17.2 8.4 7.9 1.8 100.0 11,197 7.8
Marital status
Never married 1.0 2.0 7.8 3.2 0.6 85.3 100.0 36,503 a
Widowed/divorced/
separated/deserted 2.2 2.4 21.8 51.3 21.5 0.8 100.0 1,165 a
Marital duration4
0-4 years 53.6 17.7 20.4 3.8 4.4 0.1 100.0 10,571 6.9
5-9 years 52.9 22.8 14.5 4.9 4.8 0.0 100.0 10,670 5.7
10-14 years 54.0 25.7 10.4 4.4 5.5 0.0 100.0 9,990 5.4
15-19 years 47.7 28.9 11.6 6.1 5.7 0.0 100.0 8,988 5.9
20-24 years 38.9 31.6 16.4 6.7 6.5 0.0 100.0 7,056 8.4
25 or more years 30.5 32.7 19.9 7.2 9.7 0.0 100.0 3,940 14.1
Married more than once 51.9 25.9 11.9 5.0 5.4 0.0 100.0 4,259 8.3
Residence
Urban 27.8 15.2 12.2 5.1 3.2 36.4 100.0 32,852 7.4
Rural 30.5 16.3 12.2 5.0 4.2 31.9 100.0 60,291 7.3
Schooling
No schooling 38.1 20.3 14.1 7.4 6.7 13.4 100.0 9,982 6.9
<5 years complete 42.3 21.3 12.7 5.8 5.5 12.5 100.0 5,842 5.9
5-7 years complete 37.2 18.8 12.3 5.6 4.9 21.1 100.0 12,082 6.1
8-9 years complete 27.5 15.4 11.4 4.4 3.4 37.9 100.0 18,472 7.2
10-11 years complete 25.8 14.2 11.2 4.6 3.1 41.1 100.0 16,735 7.2
12 or more years complete 24.6 13.5 12.4 4.4 2.9 42.2 100.0 30,032 7.4
Religion
Hindu 29.8 16.2 12.8 4.9 3.5 32.9 100.0 73,632 7.1
Muslim 29.5 15.1 9.0 5.1 5.2 36.1 100.0 14,633 6.0
Christian 23.7 14.8 11.4 7.5 6.4 36.1 100.0 2,426 7.5
Sikh 33.6 12.0 11.5 5.1 2.7 35.0 100.0 886 4.9
Jain 28.7 11.9 6.7 9.1 0.2 43.3 100.0 280 5.3
Other 23.7 9.3 27.4 5.4 5.3 29.0 100.0 269 20.5
Continued…
228
Table 6.9.2 Most recent sexual activity: Men—Continued
Percent distribution of men age 15-49 by timing of last sexual intercourse, according to background characteristics, India, 2019-21
Timing of last sexual intercourse Median

number of
Background characteristic week weeks1 year2 years Missing intercourse Total of men intercourse3
Caste/tribe
Scheduled caste 30.9 16.6 12.9 5.1 3.8 30.7 100.0 18,977 7.1
Scheduled tribe 31.1 15.7 13.0 5.6 5.1 29.5 100.0 8,441 7.0
Other 29.8 14.9 10.6 5.3 4.3 35.0 100.0 26,244 6.4
Don't know 28.2 12.1 9.9 5.9 7.2 36.7 100.0 496 4.9
Wealth quintile
Lowest 32.0 15.6 11.8 5.2 5.8 29.6 100.0 15,606 7.2
Second 29.7 16.1 12.3 5.0 3.7 33.1 100.0 18,497 7.4
Middle 28.9 15.8 12.6 5.3 3.7 33.8 100.0 19,829 7.4
Fourth 29.3 16.3 11.7 5.0 3.3 34.4 100.0 20,658 7.3
Highest 28.5 15.5 12.5 4.6 3.1 35.7 100.0 18,553 7.3
Total age 15-49 29.6 15.9 12.2 5.0 3.8 33.5 100.0 93,144 7.1
Age 50-54 23.2 29.2 23.1 13.1 10.2 1.2 100.0 8,695 7.3
Total age 15-54 29.0 17.0 13.1 5.7 4.4 30.7 100.0 101,839 7.3
a = Omitted because less than 50 percent of men ever had sexual intercourse
1
Excludes men who had sexual intercourse within the last 1 week
2
Excludes men who had sexual intercourse within the last 1 and 4 weeks
3
Among those who have ever had sexual intercourse
4
Excludes men who are not currently married
229
Table 6.10 Postpartum amenorrhoea, abstinence, and insusceptibility
Percentage of births in the 3 years preceding the survey for which mothers are
postpartum amenorrhoeic, abstaining, and insusceptible, by number of months
since birth, and median and mean durations, India, 2019-21
Months Percentage of births for which the mother is: Number of

since birth Amenorrhoeic Abstaining Insusceptible1 births
0 76.8 95.4 96.5 1,666

1 76.5 86.1 92.4 3,919
2 64.3 66.6 80.6 4,017
3 56.6 51.4 73.2 3,834
4 47.9 41.7 63.6 3,992
5 40.9 32.0 55.4 3,932
6 37.7 29.1 52.1 3,978
7 30.3 22.8 42.3 3,696
8 24.5 19.2 36.8 3,585
9 23.5 16.1 33.6 3,730
10 20.4 15.6 31.0 3,706
11 16.4 15.8 28.2 3,714
12 13.3 12.2 22.3 3,805
13 10.9 11.7 18.9 4,033
14 9.5 10.4 17.0 3,959
15 7.8 9.3 14.9 3,727
16 7.4 9.8 15.3 3,820
17 5.2 8.3 11.9 3,533
18 4.8 8.8 12.1 3,765
19 5.3 9.4 13.2 3,704
20 3.9 8.7 11.4 3,513
21 3.9 7.3 9.8 3,371
22 4.7 8.7 11.2 3,647
23 3.8 7.9 10.0 3,624
24 4.0 7.6 9.7 3,844
25 2.4 7.1 8.4 3,912
26 2.7 5.9 7.3 3,901
27 2.9 6.8 8.5 3,996
28 3.0 6.8 8.4 3,871
29 3.4 6.3 8.3 3,798
30 2.8 7.2 8.8 3,861
31 2.5 7.1 8.6 3,827
32 2.6 5.7 7.2 3,628
33 1.8 5.0 6.2 3,562
34 3.2 6.1 7.8 3,581
35 3.4 7.1 8.6 3,510
Median2 4.1 3.5 6.3 na

Mean 6.9 7.3 10.0 na
Note: Estimates are based on status at the time of the survey.

na = Not applicable
1
Includes births for which mothers are either still amenorrhoeic or still abstaining (or both)
following birth
2
Based on a three-month moving average of two month intervals since birth
230
Table 6.11 Median duration of postpartum amenorrhoea, postpartum abstinence, and postpartum insusceptibility
Median number of months of postpartum amenorrhoea, postpartum abstinence, and postpartum insusceptibility
following births in the 3 years preceding the survey, by background characteristics, India, 2019-21
Postpartum Postpartum Postpartum

Background characteristic amenorrhoea abstinence insusceptibility1
Mother's age
15-29 4.0 3.5 6.2
30-49 4.3 3.7 6.6
Residence
Urban 3.8 3.8 5.7
Rural 4.2 3.4 6.5
Mother's schooling
No schooling 4.2 3.0 6.5
<5 years complete 4.7 3.5 6.2
12 or more years complete 3.9 4.0 6.0
Religion
Hindu 4.2 3.7 6.5
Muslim 3.1 2.9 5.0
Christian 5.4 5.5 8.1
Sikh 2.0 3.0 4.0
Other 9.3 3.7 10.5
Caste/tribe
Other 3.5 3.5 5.6
Don't know 3.6 3.7 7.4
Wealth quintile
Lowest 5.3 3.2 7.4
Second 4.2 3.3 6.5
Middle 4.2 3.7 6.1
Fourth 3.6 3.8 5.8
Highest 3.5 3.8 5.5
Total 4.1 3.5 6.3
Note: Medians are based on status at the time of the survey.

1 Includes births for which mothers are still amenorrhoeic or still abstaining (or both) following birth
231
Table 6.12 Menopause
Percentage of women age 30-49 who are menopausal, by age,

India, 2019-21
Percentage Number of
Age menopausal1 women
30-34 3.0 100,384

35-39 6.7 97,552
40-41 14.2 37,535
42-43 19.3 31,226
44-45 30.4 37,555
46-47 39.7 28,129
48-49 55.2 32,606
Total 16.9 364,987

1
Percentage of women who 1) are not pregnant, and 2) have had a birth
in the past 5 years and are not postpartum amenorrhoeic, and 3) for
whom one of the following additional conditions applies: a) whose last
menstrual period occurred 6 or more months preceding the survey, or
b) declared that they are in menopause or have had a hysterectomy, or
c) have never menstruated
232
Table 6.13 Non-live births
Percentage of women age 15-49 who have ever had a non-live birth and have had a non-live birth in
the 5 years preceding the survey, and percentage of pregnancies (not including current pregnancies)
that ended in a non-live birth in the 5 years preceding the survey by current age of mother, India,
2019-21
Pregnancies in
Women age 15-49 the last 5 years
Percentage Percentage
Percentage who who have had a that ended
Mother's have ever had a non-live birth in Number of in a non- Number of
current age non-live birth the past 5 years women live birth pregnancies
15-19 1.0 0.9 122,544 9.9 10,387

20-24 7.9 6.8 119,440 8.2 87,168
25-29 14.8 8.6 117,145 8.1 106,374
30-34 17.8 5.6 100,384 9.5 48,616
35-39 17.6 2.5 97,552 12.5 17,265
40-44 16.3 0.9 81,787 15.9 3,778
45-49 14.2 0.2 85,264 15.8 852
Total 12.2 3.9 724,115 8.8 274,440
20-49 14.5 4.5 601,571 8.8 264,053
25-49 16.1 3.9 482,132 9.1 176,885

Note: Non-live births include stillbirths, abortions, and miscarriages.
233
Table 6.14 Non-live births by state/union territory
Percentage of women age 15-49 who have ever had a non-live birth and have had a non-live birth in the 5
years preceding the survey and percentage of pregnancies (not including current pregnancies) that ended in
a non-live birth in the 5-year period preceding the survey by state/union territory, India, 2019-21
Pregnancies in the
Women age 15-49 last 5 years
Percentage who
Percentage who have had a Percentage that
have ever had a non-live birth ended in a
State/union territory non-live birth in the past 5 years non-live birth
India 12.2 3.9 8.8
North
Delhi 17.8 5.9 13.6
Haryana 14.5 5.0 11.2
Ladakh 6.0 2.5 8.5
Punjab 10.9 3.5 9.2
Central
East
Bihar 14.4 5.0 7.6
Odisha 16.9 5.1 11.9
Northeast
Assam 10.7 3.8 8.3
Manipur 25.4 10.6 15.4
Mizoram 6.4 2.5 6.2
Sikkim 6.2 1.7 6.1
Tripura 13.7 4.3 10.0
West
Dadra & Nagar Haveli and Daman & Diu 12.6 4.3 10.3
Goa 10.4 3.4 13.7
Gujarat 9.8 2.8 7.3
South
Kerala 11.7 2.6 6.5
Tamil Nadu 14.7 3.5 9.9
Note: Non-live births include stillbirths, abortions, and miscarriages.
234
Table 6.15 Pregnancy outcome
Percent distribution of last pregnancies among women age 15-49 during the 5 years preceding the survey by pregnancy
outcome, according to background characteristics, India, 2019-21
Pregnancy outcome Number of

Background characteristic Live birth Abortion Miscarriage Stillbirth Total pregnancies
Residence
Urban 86.8 4.0 8.5 0.7 100.0 69,549
Rural 89.7 2.5 6.9 0.9 100.0 186,000
Mother's schooling
No schooling 91.4 1.9 5.7 1.1 100.0 53,422
<5 years complete 89.3 2.8 7.0 0.9 100.0 12,166
5-7 years complete 89.1 2.9 7.1 0.9 100.0 36,924
8-9 years complete 88.3 3.2 7.6 0.9 100.0 47,811
10-11 years complete 87.9 3.5 7.9 0.8 100.0 34,384
Religion
Hindu 88.5 3.1 7.5 0.8 100.0 203,795
Muslim 90.6 2.1 6.4 0.9 100.0 40,727
Christian 89.9 2.2 7.2 0.8 100.0 5,213
Sikh 88.2 3.3 7.8 0.7 100.0 3,205
Jain 96.9 0.6 2.3 0.2 100.0 329
Other 88.7 3.8 6.9 0.6 100.0 1,041
Caste/tribe
Scheduled caste 88.7 2.9 7.4 1.0 100.0 59,776
Scheduled tribe 91.7 1.8 5.7 0.8 100.0 24,794
Other 87.6 3.6 8.0 0.8 100.0 57,728
Don't know 89.1 3.0 7.1 0.8 100.0 2,381
Wealth quintile
Lowest 91.6 1.7 5.7 1.0 100.0 60,949
Second 89.7 2.5 6.8 0.9 100.0 55,273
Middle 88.0 3.2 7.9 0.8 100.0 50,343
Fourth 87.5 3.7 8.0 0.8 100.0 47,773
Highest 86.4 4.1 8.9 0.6 100.0 41,210
Total 88.9 2.9 7.3 0.9 100.0 255,549
235
Table 6.16 Pregnancy outcome by state/union territory
Percent distribution of last pregnancies during the 5 years preceding the survey among women age
15-49 by pregnancy outcome, according to state/union territory, India, 2019-21
Pregnancy outcome
State/union territory Live birth Abortion Miscarriage Stillbirth Total
India 88.9 2.9 7.3 0.9 100.0
North
Chandigarh 85.1 4.2 9.7 1.0 100.0
Delhi 81.6 5.7 11.9 0.8 100.0
Haryana 86.0 2.7 10.3 0.9 100.0
Himachal Pradesh 86.6 2.8 10.0 0.6 100.0
Jammu & Kashmir 91.0 2.3 5.9 0.8 100.0
Ladakh 89.8 3.2 5.5 1.5 100.0
Punjab 87.9 3.1 8.4 0.6 100.0
Rajasthan 90.2 1.5 7.5 0.7 100.0
Uttarakhand 87.1 3.4 8.4 1.1 100.0
Central
Chhattisgarh 92.3 1.7 4.9 1.0 100.0
Madhya Pradesh 91.6 1.3 6.2 0.8 100.0
Uttar Pradesh 87.3 3.1 8.5 1.1 100.0
East
Bihar 90.6 1.7 6.6 1.1 100.0
Jharkhand 90.0 2.4 6.4 1.2 100.0
Odisha 85.1 4.7 9.0 1.2 100.0
West Bengal 87.3 3.6 8.4 0.8 100.0
Northeast
Arunachal Pradesh 93.2 2.7 3.8 0.4 100.0
Assam 88.7 4.8 5.5 0.9 100.0
Manipur 76.8 10.4 12.3 0.4 100.0
Meghalaya 94.1 0.2 4.7 1.0 100.0
Mizoram 92.3 0.2 7.4 0.1 100.0
Nagaland 92.7 1.7 5.2 0.4 100.0
Sikkim 90.8 2.0 6.3 0.9 100.0
Tripura 86.3 7.0 5.6 1.1 100.0
West
Daman & Diu 88.3 2.0 9.4 0.3 100.0
Goa 84.3 4.8 10.9 0.0 100.0
Gujarat 91.1 2.0 6.3 0.6 100.0
Maharashtra 88.4 4.0 7.1 0.5 100.0
South
Andaman & Nicobar Islands 87.0 4.3 6.9 1.8 100.0
Andhra Pradesh 89.0 4.0 6.4 0.5 100.0
Karnataka 92.0 2.4 5.1 0.5 100.0
Kerala 90.4 3.2 6.2 0.2 100.0
Lakshadweep 93.6 1.9 4.1 0.3 100.0
Puducherry 84.6 5.1 9.9 0.5 100.0
Tamil Nadu 87.5 4.4 7.5 0.6 100.0
Telangana 89.7 4.1 5.7 0.6 100.0
236
Table 6.17 Characteristics of abortions
Among women age 15-49 whose last pregnancy in the 5 years preceding the survey ended in an abortion,
percent distribution by main reason for abortion, method of abortion, place of abortion, and person who
performed the abortion, percentage who had complications from the abortion; among women who had
complications, percentage who sought treatment for the complications; and among women who sought
treatment for the complications, percent distribution by the place of treatment, according to residence,
India, 2019-21
Characteristics of abortion Urban Rural Total
Main reason for the abortion

Unplanned pregnancy 49.4 46.5 47.6
Contraceptive failure 4.3 3.2 3.6
Complications in pregnancy 7.5 10.2 9.1
Health did not permit 11.9 10.9 11.3
Female foetus 1.7 2.4 2.1
Male foetus 0.3 0.5 0.4
Economic reasons 3.8 3.2 3.4
Last child too young 10.1 9.5 9.7
Foetus had congenital abnormality 3.9 3.0 3.3
Husband/mother-in-law did not want 2.5 5.0 4.1
Other 4.6 5.7 5.3
Total 100.0 100.0 100.0
Method of abortion
Medicine 66.6 68.1 67.5
Manual vacuum aspiration (MVA) 11.5 12.0 11.8
Other surgical 16.6 16.1 16.3
Any other method 1.6 1.0 1.2
Don't know 3.7 2.9 3.2
Total 100.0 100.0 100.0
Place of abortion
Private health sector1 59.5 48.9 52.9
At home 22.1 28.7 26.2
Other 0.2 0.8 0.6
Total 100.0 100.0 100.0
Person who performed the abortion

Doctor 65.7 48.1 54.8
Nurse/ANM/LHV 8.8 16.4 13.5
Dai (TBA) 0.0 0.5 0.3
Family member/relative/friend 3.2 3.7 3.5
Self 21.6 30.0 26.9
Other 0.5 0.9 0.7
Total 100.0 100.0 100.0
Complications from the abortion

Percentage of women who had complications
from the abortion 14.9 16.1 15.6
Number of women with abortions 2,221 3,661 5,882
Continued…
237
Table 6.17 Characteristics of abortions—Continued
Among women age 15-49 whose last pregnancy in the 5 years preceding the survey ended in an abortion,
percent distribution by main reason for abortion, method of abortion, place of abortion, and person who
performed the abortion, percentage who had complications from the abortion; among women who had
complications, percentage who sought treatment for the complications; and among women who sought
treatment for the complications, percent distribution by the place of treatment, according to residence,
India, 2019-21
Characteristics of abortion Urban Rural Total
Treatment for the complications

Percentage of women with complications from
an abortion who sought treatment for
the complications 89.3 89.9 89.7
Number of women with complications 331 588 919
Place of treatment
Private health sector1 76.7 67.1 70.6
At home 0.0 2.2 1.4
Other 0.2 1.1 0.8
Total 100.0 100.0 100.0
Number of women who sought treatment 295 528 824
ANM = Auxiliary nurse midwife; LHV = Lady health visitor; TBA = Traditional birth attendant
1
Includes nongovernmental organization or trust hospital/clinic
238
Table 6.18 Main reason for abortions by state/union territory
Among women age 15-49 whose last pregnancy in the 5 years preceding the survey ended in an abortion, percent distribution by main reason for abortion, by state/union territory, India, 2019-21

Foetus had Husband/
Unplanned Contraceptive Complications Health did Female Male Economic Last child congenital mother-in-law
State/union territory pregnancy failure in pregnancy not permit foetus foetus reasons too young abnormality did not want Other Total
India 47.6 3.6 9.1 11.3 2.1 0.4 3.4 9.7 3.3 4.1 5.3 100.0
North
Chandigarh 66.4 0.0 17.3 0.0 0.0 0.0 0.0 0.0 16.3 0.0 0.0 100.0
Delhi 73.5 6.3 4.8 2.4 0.0 0.0 3.2 6.1 1.2 0.0 2.5 100.0
Haryana 41.4 3.9 14.9 6.9 0.5 0.0 0.8 9.2 4.1 6.8 11.5 100.0
Jammu & Kashmir 16.9 4.5 25.9 18.7 2.6 2.8 6.9 4.6 9.0 2.2 5.9 100.0
Ladakh 16.1 23.8 13.6 40.2 0.0 0.0 0.0 0.0 6.3 0.0 0.0 100.0
Punjab 35.7 4.8 26.2 8.3 4.2 0.0 0.9 1.5 7.6 6.5 4.4 100.0
Rajasthan 49.9 4.0 13.8 7.4 1.0 0.0 2.7 5.5 6.0 3.6 6.1 100.0
Uttarakhand 49.3 4.3 12.0 13.5 2.0 0.0 4.8 10.1 0.1 3.7 0.0 100.0
239
Central
Chhattisgarh 32.1 1.0 1.0 15.2 3.5 0.7 1.9 24.9 0.0 6.1 13.6 100.0
Madhya Pradesh 48.3 10.7 7.8 8.4 0.6 1.4 3.1 5.8 1.7 7.0 5.3 100.0
Uttar Pradesh 61.3 1.9 5.5 6.3 2.7 0.4 1.6 8.5 1.6 4.8 5.4 100.0
East
Bihar 49.8 1.6 2.9 12.1 5.3 0.7 1.7 9.7 0.3 9.4 6.5 100.0
Jharkhand 43.0 3.2 4.7 19.9 4.9 0.0 3.7 11.7 0.0 7.7 1.2 100.0
Odisha 50.5 6.9 4.4 6.2 1.5 0.0 5.6 16.1 0.7 5.2 2.9 100.0
West Bengal 53.8 7.6 2.0 7.9 0.0 0.0 6.9 13.2 0.9 1.0 6.6 100.0
Continued…
Table 6.18 Main reason for abortions by state/union territory—Continued
Among women age 15-49 whose last pregnancy in the 5 years preceding the survey ended in an abortion, percent distribution by main reason for abortion, by state/union territory, India, 2019-21

Foetus had Husband/
Unplanned Contraceptive Complications Health did Female Male Economic Last child congenital mother-in-law
State/union territory pregnancy failure in pregnancy not permit foetus foetus reasons too young abnormality did not want Other Total
Northeast
Assam 63.0 3.0 4.7 6.4 0.1 0.0 5.2 10.6 0.3 4.2 2.4 100.0
Manipur 48.6 0.8 6.2 11.1 3.5 0.0 5.4 14.1 2.3 3.0 5.0 100.0
Meghalaya 67.1 0.0 0.0 20.9 0.0 0.0 0.0 12.0 0.0 0.0 0.0 100.0
Mizoram 0.0 0.0 0.0 18.0 0.0 0.0 0.0 0.0 82.0 0.0 0.0 100.0
Nagaland 56.2 3.5 1.7 11.4 0.0 0.0 2.0 12.4 0.0 9.5 3.5 100.0
Sikkim 68.3 0.0 28.3 0.0 0.0 0.0 0.0 3.4 0.0 0.0 0.0 100.0
Tripura 67.9 5.0 1.9 2.5 0.8 0.0 2.0 15.9 0.0 1.4 2.6 100.0
West
240
Daman & Diu 16.5 13.1 7.0 18.9 7.6 0.0 0.0 11.9 0.0 10.2 14.7 100.0
Goa 56.3 0.0 12.2 11.1 7.3 0.0 0.0 4.9 8.2 0.0 0.0 100.0
Gujarat 48.5 1.9 17.3 6.1 0.0 1.4 6.9 4.2 8.2 3.9 1.7 100.0
Maharashtra 42.9 3.4 16.9 13.0 2.1 0.0 0.2 10.1 5.3 1.1 4.9 100.0
South
Andaman & Nicobar Islands 62.1 0.0 8.9 1.3 0.0 0.0 0.0 18.2 0.0 9.5 0.0 100.0
Andhra Pradesh 14.7 3.6 22.3 17.6 3.9 0.0 9.4 8.3 9.7 4.4 6.2 100.0
Karnataka 16.5 4.8 18.2 19.9 3.0 3.1 3.2 12.5 6.6 2.6 9.6 100.0
Kerala 17.7 2.1 22.1 17.8 0.0 0.0 0.0 11.5 16.0 0.0 12.8 100.0
Lakshadweep 0.0 0.0 32.4 32.9 0.0 0.0 0.0 0.0 34.7 0.0 0.0 100.0
Puducherry 18.9 0.5 3.4 11.8 0.0 0.0 8.8 37.5 11.0 8.0 0.0 100.0
Tamil Nadu 29.8 0.4 8.6 30.7 1.6 0.8 8.0 6.9 6.1 3.9 3.3 100.0
Telangana 17.5 3.2 17.7 26.9 3.4 0.5 2.5 8.1 8.5 3.6 8.0 100.0
INFANT AND CHILD MORTALITY 7
Key Findings
 Mortality levels: For the five years preceding the

survey, the under-five mortality rate was 42 deaths
per 1,000 live births, and the infant mortality rate was
35 deaths per 1,000 live births. The neonatal
mortality rate was 25 deaths per 1,000 live births.
 Trends: The under-five mortality rate declined from
50 deaths per 1,000 live births in the five years
before the 2015-16 survey to 42 deaths per 1,000
live births in the five years before the 2019-21
survey. The infant mortality rate declined from 41
deaths per 1,000 live births to 35 deaths per 1,000
live births during the same period.
 Patterns: The under-five mortality rate and infant
mortality rate are highest in Uttar Pradesh, followed
by Bihar, and are lowest in Puducherry, followed by
Kerala. The under-five mortality rate and infant
mortality rate are considerably higher in rural areas
than in urban areas.
 Perinatal mortality: The perinatal mortality rate is
32 deaths per 1,000 pregnancies.
nformation on infant and child mortality is relevant to a demographic assessment of the population and is an
I important indicator of the country’s socioeconomic development and quality of life. These estimates can also
help identify children who may be at higher risk of death and lead to strategies to reduce this risk, such as
promoting birth spacing.
This chapter presents information on levels, trends, and differentials in perinatal, neonatal, infant, and under-five
mortality rates. It also examines biodemographic factors and fertility behaviours that increase mortality risks for infants
and young children. The information is collected as part of a retrospective birth history, in which female respondents
list all of the children they have borne, along with each child’s date of birth, survivorship status, and current age or age
at death.
The quality of mortality estimates calculated from birth histories depends on the mother’s ability to recall all of the
children she has given birth to, as well as their birth dates and ages at death. Potential data quality problems include:
 The selective omission from the birth histories of those births that did not survive, which can result in
underestimation of childhood mortality.
 The displacement of birth dates, which may distort mortality trends. This can occur if an interviewer knowingly
records a birth as occurring in a different year than the one in which it occurred. This may happen if an interviewer
is trying to cut down on her overall work load, because live births occurring during the five years before the
interview are the subject of a lengthy set of additional questions.
 The quality of reporting of age at death. Misreporting the child’s age at death may distort the age pattern of
mortality, especially if the net effect of the age misreporting is to transfer deaths from one age bracket to another.
241
 Any method of measuring childhood mortality that relies on the mothers’ reports (i.e., birth histories) assumes that
female adult mortality is not high, or if it is high, that there is little or no correlation between the mortality risks of
the mothers and those of their children.
Selected indicators of the quality of the mortality data on which the estimates of mortality given in this chapter are
presented in Appendix E (Tables E.4-E.6).
7.1 INFANT AND CHILD MORTALITY
Neonatal mortality: The probability of dying within the first month of life.
Postneonatal mortality: The probability of dying between the first month of life
and the first birthday (computed as the difference between infant and neonatal
mortality).
Infant mortality: The probability of dying between birth and the first birthday.
Child mortality: The probability of dying between the first and fifth birthday.
Under-five mortality: The probability of dying between birth and the fifth
birthday.
For the five-year period before the 2019-21

NFHS, the neonatal mortality rate was 25 Figure 7.1 Trends in Early Childhood Mortality Rates
deaths per 1,000 live births. This means that Deaths per 1,000 live births in the five-year period before the survey
one in 40 live births died during the neonatal
period. The infant mortality rate was 35 109
Under-five mortality
deaths per 1,000 live births. The under-five 95
Infant mortality
mortality rate was 42 deaths per 1,000 live
Neonatal mortality
births (Table 7.1 and Figure 7.1). This 79
74
indicates that one in 24 children in India die 68
before their fifth birthday. More than four- 57
fifths (83%) of these deaths occur during 49 50
43 42
infancy. 39 41
35
30
25
Trends: The neonatal mortality rate
declined from 49 deaths per 1,000 live births
in the five years before the 1992-93 NFHS
survey to 25 deaths per 1,000 live births in NFHS-1 NFHS-2 NFHS-3 NFHS-4 NFHS-5
the five years before the 2019-21 NFHS
survey. The neonatal mortality rates in the five years before the 1998-99 survey, 2005-06 survey, and the 2015-16
survey were 43, 39, and 30 deaths per 1,000 live births, respectively. The infant mortality rate declined from 79 deaths
per 1,000 live births in the five years before the 1992-93 NFHS survey to 35 deaths per 1,000 live births in the five
years before the 2019-21 NFHS survey. During the same period, the under-five mortality rate declined from 109 deaths
per 1,000 live births to 42 deaths per 1,000 live births. The infant mortality rate decreased by 56 percent over a period
of 28 years. The decline in the under-five mortality rate is slightly higher than the decline in the infant mortality rate
during this period (a decrease of 62 percent).
 The under-five mortality rate is higher in rural areas than in urban areas (46 deaths per 1,000 live births versus 32
deaths per 1,000 live births).
 The under-five mortality rate is highest in Uttar Pradesh (60 deaths per 1,000 live births) and lowest in Kerala and
Puducherry (5 and 4 deaths per 1,000 live births, respectively) (Figure 7.2).
 The under-five mortality rate declines with an increase in mother’s schooling (Table 7.2).
 The under-five mortality rate for scheduled tribes (50 deaths per 1,000 live births), scheduled castes (49 deaths per
1,000 live births), and other backward classes (41 deaths per 1,000 live births) are considerably higher than for
242
those who are not from scheduled castes, scheduled tribes, or other backward classes (33 deaths per 1,000 live
births).
 The under-five mortality rate also declines with increasing household wealth. The under-five mortality rate
declined from 59 deaths per 1,000 live births in the lowest wealth quintile to 20 deaths per 1,000 live births in the
highest wealth quintile.
Figure 7.2 Under-five Mortality Rate by State/UT

Deaths per 1,000 live births for the five-year period
before the survey
Uttar Pradesh 60
Bihar 56
Chhattisgarh 50
Madhya Pradesh 49
Uttarakhand 46
Jharkhand 45
Tripura 43
INDIA 42
Odisha 41
Meghalaya 40
Assam 39
Haryana 39
Gujarat 38
Rajasthan 38
Andhra Pradesh 35
Nagaland 33
Punjab 33
Delhi 31
Manipur 30
Ladakh 30
Karnataka 30
Telangana 29
Himachal Pradesh 29
Maharashtra 28
West Bengal 25
Mizoram 24
Tamil Nadu 22
Chandigarh 20
Jammu & Kashmir 19
Sikkim 11
Goa 11
Kerala 5.2
Puducherry 3.9
7.2 BIODEMOGRAPHIC RISK FACTORS

Researchers have identified multiple risk factors for infant and child mortality based on the characteristics of the mother
and child and the circumstances of the birth. Table 7.3 and Figure 7.3 illustrate the relationship between these risk
factors and neonatal, infant, and under-five mortality.
 Boys are slightly more likely to die before their fifth birthday than girls. The gender gap is most pronounced in the
neonatal period (within one month after birth).
 Shorter birth intervals are associated with higher under-five mortality. The under-five mortality rate for children
born less than 2 years after the preceding birth is more than twice as high as that for children born 3 years after
their preceding sibling.
 Children reported to be very small at the time of birth are more than four times as likely to die during the first
month of life as children reported to be average size or larger (96 deaths per 1,000 live births versus 20 deaths per
1,000 live births).
 Children of birth order seven or more are more than twice as likely to die in the first five years of life than children
of the first birth order (Figure 7.3).
243
Figure 7.3 High-risk Births Have Higher Mortality Rates
Deaths in the first five years of life per 1,000 live births
CHILD's SEX
Male 44
Female 40
MOTHER'S AGE AT BIRTH
<20 53
20-29 39
30-39 45
40-49 75
BIRTH ORDER
1 42
2-3 37
4-6 57
7 or more 86
PREVIOUS BIRTH INTERVAL
<2 years 61
2 years 39
3 years 28
4 years or more 33
7.3 PERINATAL MORTALITY
Perinatal mortality rate

Perinatal deaths comprise stillbirths (pregnancy loss that occurs after seven
months of gestation) and early neonatal deaths (deaths of live births within the
first seven days of life). The perinatal mortality rate is calculated as the number
of perinatal deaths per 1,000 pregnancies of seven or more months’ duration.
Sample: Number of pregnancies of seven or more months’ duration to women
age 15-49 in the five years before the survey.
The causes of stillbirths and early neonatal deaths are closely linked, and it can be difficult to determine whether a
death is one or the other. The perinatal mortality rate encompasses both stillbirths and early neonatal deaths, and it
offers a better measure of the level of mortality and quality of service around delivery. During the five years before the
survey, the perinatal mortality rate was 32 deaths per 1,000 pregnancies (Table 7.5).
 The perinatal mortality rate is higher in rural areas than in urban areas (34 deaths per 1,000 pregnancies versus 25
deaths per 1,000 pregnancies).
 The perinatal mortality rate is highest in Uttar Pradesh (44 deaths per 1,000 pregnancies), followed by Bihar (43
deaths per 1,000 pregnancies), and is lowest in Goa (2 deaths per 1,000 pregnancies).
 The perinatal mortality rate is twice as high among pregnancies to women in which the previous pregnancy interval
was less than 15 months (50 deaths per 1,000 pregnancies) than those with an interval of 27 or more months.
 The perinatal mortality rate declines with an increase in the mother’s schooling.
 The perinatal mortality rate also declines with higher household wealth. The perinatal mortality rate is 41 deaths
per 1,000 pregnancies in the lowest wealth quintiles and 17 deaths per 1,000 pregnancies in the highest wealth
quintile.
244
 High-Risk Fertility Behaviour
High-risk fertility
A birth is classified as high risk if it has one or more of the following
characteristics: (i) mother’s age is less than 18 years, (ii) mother’s age is more
than 34 years, (iii) previous birth interval in less than two years, and (iv) birth
order is more than three.
Sample: Births in the 5 years preceding the survey.
 Twenty-nine percent of births in the last five years are in an avoidable risk category.
 Births which are in any avoidable high-risk category have almost twice the risk of dying as births that are not in
any high-risk category.
 Five percent of the births and 13 percent of currently married women are in a multiple high-risk category.
245
LIST OF TABLES
For more information on infant and child mortality, see the following tables:
Tables
Table 7.1 Early childhood mortality rates
Table 7.2 Early childhood mortality rates by background characteristics
Table 7.3 Early childhood mortality rates by demographic characteristics
Table 7.4 Early childhood mortality rates by state/union territory
Table 7.5 Perinatal mortality
Table 7.6 Perinatal mortality by state/union territory
Table 7.7 High-risk fertility behaviour
246
Table 7.1 Early childhood mortality rates
Neonatal, postneonatal, infant, child, and under-five mortality rates for 5-year periods
preceding the survey by residence, India, 2019-21
Neonatal Postneonatal Infant Child Under-five

Years preceding mortality mortality1 mortality mortality mortality
the survey (NN) (PNN) (1q0) (4q1) (5q0)
URBAN
0-4 18.0 8.6 26.6 5.0 31.5

5-9 19.4 7.8 27.2 4.4 31.5
10-14 21.4 8.2 29.6 6.5 35.8
RURAL
0-4 27.4 10.9 38.4 7.6 45.7

5-9 28.9 10.7 39.5 7.7 46.9
10-14 32.3 13.0 45.3 11.0 55.8
TOTAL
0-4 24.9 10.3 35.2 6.9 41.9

5-9 26.2 9.9 36.1 6.8 42.6
10-14 29.2 11.6 40.8 9.7 50.1
1 Computed as the difference between the infant and neonatal mortality rates.
247
Table 7.2 Early childhood mortality rates by background characteristics
Neonatal, postneonatal, infant, child, and under-five mortality rates for the 5-year period preceding the
survey, by background characteristics and residence, India, 2019-21, and for 0-4 years before NFHS-4,
NFHS-3, NFHS-2, and NFHS-1

mortality mortality1 mortality mortality mortality
Background characteristic (NN) (PNN) (1q0) (4q1) (5q0)
URBAN
Schooling
No schooling 27.8 14.9 42.7 10.0 52.3
<5 years complete 27.6 6.7 34.2 5.3 39.3
5-7 years complete 21.9 11.4 33.3 6.5 39.6
8-9 years complete 19.5 9.4 28.9 6.9 35.5
10-11 years complete 17.9 10.1 28.0 2.8 30.7
12 or more years complete 12.7 5.2 18.0 2.6 20.5
Religion
Hindu 18.4 8.5 26.9 4.9 31.7
Muslim 18.7 9.0 27.8 5.2 32.8
Christian 7.0 5.7 12.6 1.1 13.7
Sikh 7.0 12.6 19.6 5.6 25.1
Buddhist/Neo-Buddhist (13.7) (2.5) (16.2) (19.9) (35.8)
Other (16.2) 8.5) (24.6) (2.8) (27.4)
Caste/tribe
Scheduled caste 22.0 10.2 32.2 7.1 39.0
Scheduled tribe 21.8 10.3 32.1 3.5 35.5
Other backward class 17.4 8.0 25.5 4.5 29.9
Other 14.5 7.5 21.9 4.4 26.3
Don't know (42.7) (24.5) (67.2) (11.8) (78.2)
Wealth quintile
Lowest 39.2 13.8 53.1 10.9 63.4
Second 25.4 9.4 34.8 9.1 43.6
Middle 22.3 12.1 34.5 5.9 40.2
Fourth 19.4 9.9 29.2 4.6 33.7
Highest 10.9 5.3 16.2 3.3 19.4
Total 18.0 8.6 26.6 5.0 31.5

NFHS-4 20.1 8.4 28.5 6.0 34.4
NFHS-3 28.5 13.0 41.5 10.6 51.7
NFHS-2 31.7 15.4 47.0 16.9 63.1
NFHS-1 34.1 22.0 56.1 19.6 74.6
Continued…
248
Table 7.2 Early childhood mortality rates by background characteristics—Continued

RURAL
Schooling
No schooling 34.8 15.2 50.1 12.2 61.6
<5 years complete 30.7 12.4 43.1 7.9 50.6
5-7 years complete 28.9 12.3 41.3 6.9 47.9
8-9 years complete 29.1 10.4 39.5 6.0 45.3
10-11 years complete 22.8 7.6 30.4 4.9 35.2
Religion
Hindu 27.9 11.0 38.9 7.9 46.6
Muslim 25.9 10.5 36.5 6.7 42.9
Christian 23.3 10.4 33.7 5.0 38.5
Sikh 23.1 8.8 31.9 4.3 36.1
Buddhist/Neo-Buddhist 19.0 5.5 24.6 5.9 30.3
Other 30.6 14.6 45.2 7.2 52.1
Caste/tribe
Scheduled caste 31.4 11.8 43.2 9.1 51.9
Scheduled tribe 29.7 13.2 42.9 9.8 52.2
Other 22.4 9.1 31.5 5.2 36.6
Don't know 30.7 12.0 42.6 3.6 46.1
Wealth quintile
Lowest 33.5 14.2 47.7 11.6 58.8
Second 30.3 11.4 41.7 7.1 48.5
Middle 23.5 9.9 33.4 5.5 38.8
Fourth 20.3 7.6 27.9 4.2 31.9
Highest 14.8 3.9 18.7 2.9 21.5
Total 27.4 10.9 38.4 7.6 45.7

NFHS-4 33.1 12.4 45.5 10.7 55.8
NFHS-3 42.5 19.7 62.2 21.0 82.0
NFHS-2 46.7 26.6 73.3 32.8 103.7
NFHS-1 52.9 32.2 85.0 37.6 119.4
Continued…
249
Table 7.2 Early childhood mortality rates by background characteristics—Continued

TOTAL
Schooling
No schooling 33.8 15.2 49.0 11.8 60.3
<5 years complete 30.1 11.2 41.3 7.4 48.4
5-7 years complete 27.4 12.1 39.5 6.8 46.0
8-9 years complete 26.9 10.1 37.0 6.2 43.0
10-11 years complete 21.4 8.4 29.7 4.2 33.8
Religion
Hindu 25.6 10.4 36.0 7.2 42.8
Muslim 23.3 10.0 33.3 6.1 39.2
Christian 18.6 9.1 27.7 3.9 31.5
Sikh 19.3 9.7 29.0 4.6 33.5
Buddhist/Neo-Buddhist 17.0 4.3 21.3 11.3 32.4
Other 29.1 14.0 43.0 6.7 49.4
Caste/tribe
Scheduled caste 29.2 11.4 40.7 8.6 48.9
Scheduled tribe 28.8 12.9 41.6 9.0 50.3
Other 19.5 8.5 28.0 4.9 32.8
Don't know 35.1 16.6 51.6 6.4 57.7
Wealth quintile
Lowest 33.8 14.1 48.0 11.6 59.0
Second 29.8 11.1 40.9 7.3 48.0
Middle 23.2 10.4 33.7 5.6 39.1
Fourth 19.9 8.6 28.5 4.3 32.7
Highest 12.2 4.8 17.0 3.2 20.1
Total 24.9 10.3 35.2 6.9 41.9

NFHS-4 29.5 11.3 40.7 9.4 49.7
NFHS-3 39.0 18.0 57.0 18.4 74.3
NFHS-2 43.4 24.2 67.6 29.3 94.9
NFHS-1 48.6 29.9 78.5 33.4 109.3
Note: All estimates are for the 5 years preceding the survey (approximately 1988-1992 for NFHS-1, 1994-1998 for NFHS-
2, 2001-2005 for NFHS-3, 2011-2015 for NFHS-4, and 2015-2019 for NFHS-5). Figures in parentheses are based on 250-
499 unweighted person-years of exposure to the risk of death.
1
Computed as the difference between the infant and neonatal mortality rates
250
Table 7.3 Early childhood mortality rates by demographic characteristics
survey, by demographic characteristics and residence, India, 2019-21

Demographic characteristic (NN) (PNN) (1q0) (4q1) (5q0)
URBAN
Child's sex
Male 19.5 8.9 28.3 5.4 33.5
Female 16.3 8.3 24.6 4.7 29.2
Mother's age at birth

<20 24.3 11.9 36.2 8.0 43.9
20-29 17.2 9.2 26.3 4.2 30.5
30-39 17.3 4.2 21.5 6.1 27.5
40-49 (35.5) (8.9) (44.4) (12.8) *
Birth order
1 19.8 8.1 28.0 4.1 31.9
2-3 14.6 9.0 23.7 4.5 28.0
4-6 26.8 8.3 35.1 10.6 45.3
7 or more (54.2) (8.7) (62.9) (45.6) (105.7)
Previous birth interval2

<2 years 22.9 14.0 36.9 9.0 45.5
2 years 15.6 11.3 26.9 4.8 31.6
3 years 14.3 5.3 19.6 2.6 22.1
4 years or more 13.9 5.4 19.2 5.8 25.0
Birth size
Very small 85.2 32.8 118.1 (1.2) *
Small 30.7 16.0 46.6 4.0 (50.4)
Average or larger 13.8 7.2 21.0 7.0 27.8
Total 18.0 8.6 26.6 5.0 31.5
Continued…
251
Table 7.3 Early childhood mortality rates by demographic characteristics—Continued

RURAL
Child's sex
Male 29.7 11.1 40.7 6.9 47.3
Female 25.1 10.7 35.8 8.4 43.9

<20 36.0 11.5 47.5 7.4 54.6
20-29 25.1 10.5 35.6 7.0 42.4
30-39 30.9 12.7 43.5 10.3 53.4
40-49 39.4 13.4 52.8 28.8 80.1
Birth order
1 31.2 9.3 40.6 5.5 45.8
2-3 22.7 10.6 33.3 7.8 40.8
4-6 32.7 16.0 48.7 11.8 59.9
7 or more 44.6 20.5 65.1 19.0 82.9

<2 years 36.3 17.2 53.5 12.4 65.3
2 years 21.8 11.3 33.1 8.7 41.5
3 years 16.5 8.0 24.5 6.0 30.4
4 years or more 22.2 8.6 30.8 6.3 36.9
Birth size
Very small 98.8 21.8 120.7 15.5 (134.3)
Small 33.5 13.8 47.3 7.9 54.8
Total 27.4 10.9 38.4 7.6 45.7
Continued…
252
Table 7.3 Early childhood mortality rates by demographic characteristics—Continued

TOTAL
Child's sex
Male 26.9 10.5 37.4 6.5 43.6
Female 22.7 10.1 32.8 7.4 40.0

<20 33.7 11.6 45.3 7.6 52.5
20-29 23.0 10.1 33.1 6.2 39.2
30-39 26.3 9.8 36.1 8.9 44.7
40-49 38.4 12.4 50.8 25.4 74.9
Birth order
1 27.9 9.0 36.8 5.0 41.7
2-3 20.6 10.2 30.7 6.9 37.4
4-6 31.6 14.7 46.3 11.5 57.3
7 or more 45.9 18.9 64.8 23.0 86.3

<2 years 33.5 16.5 49.9 11.6 61.0
2 years 20.5 11.3 31.8 7.8 39.4
3 years 16.0 7.4 23.3 5.1 28.3
4 years or more 19.4 7.6 27.0 6.1 32.9
Birth size
Very small 95.7 24.4 120.1 12.0 (130.6)
Small 32.7 14.4 47.1 6.8 53.6
Total 24.9 10.3 35.2 6.9 41.9
Note: Figures in parentheses are based on 250-499 unweighted person-years of exposure to the risk of death. An asterisk
indicates that a figure is based on fewer than 250 unweighted person-years of exposure to the risk of death, and the
rate is not shown.
1
Computed as the difference between the infant and neonatal mortality rates
2
Excludes first-order births
253
Table 7.4 Early childhood mortality rates by state/union territory
survey, by state/union territory, India, 2019-21

State/union territory (NN) (PNN) (1q0) (4q1) (5q0)
India 24.9 10.3 35.2 6.9 41.9
North
Chandigarh 1.6 14.0 15.5 4.2 19.7
Delhi 17.4 7.0 24.5 6.3 30.6
Haryana 21.6 11.7 33.3 5.6 38.7
Jammu & Kashmir 9.8 6.5 16.3 2.3 18.5
Ladakh 11.4 8.6 20.0 9.7 29.5
Punjab 21.8 6.3 28.0 4.8 32.7
Rajasthan 20.2 10.0 30.2 7.5 37.5
Uttarakhand 32.4 6.7 39.1 6.7 45.5
Central
Chhattisgarh 32.4 11.9 44.2 6.4 50.4
Madhya Pradesh 29.0 12.3 41.3 8.2 49.2
Uttar Pradesh 35.7 14.7 50.4 10.0 59.8
East
Bihar 34.5 12.3 46.8 10.2 56.4
Jharkhand 28.2 9.7 37.9 7.9 45.4
Odisha 27.0 9.3 36.3 5.0 41.1
West Bengal 15.5 6.5 22.0 3.4 25.3
Northeast
Assam 22.5 9.5 31.9 7.4 39.1
Manipur 17.2 7.8 25.0 5.2 30.0
Meghalaya 19.8 12.5 32.3 8.0 40.0
Mizoram 11.4 9.9 21.3 2.8 24.0
Nagaland 10.2 13.2 23.4 9.8 33.0
Sikkim 5.0 6.2 11.2 0.0 11.2
Tripura 22.9 14.7 37.6 5.9 43.3
West
Daman & Diu 21.4 10.4 31.8 5.3 37.0
Goa 5.6 0.0 5.6 5.0 10.6
Gujarat 21.8 9.4 31.2 6.6 37.6
Maharashtra 16.5 6.7 23.2 4.9 28.0
South
Andhra Pradesh 19.9 10.3 30.2 5.1 35.2
Karnataka 15.8 9.6 25.4 4.2 29.5
Kerala 3.4 1.0 4.4 0.8 5.2
Puducherry 2.3 0.7 2.9 1.0 3.9
Tamil Nadu 12.7 6.0 18.6 3.7 22.3
Telangana 16.8 9.6 26.4 3.0 29.4
1 Computed as the difference between the infant and neonatal mortality rates
254
Table 7.5 Perinatal mortality
Number of stillbirths and early neonatal deaths, and perinatal mortality rates for the 5-year period preceding
the survey, by background characteristics, India, 2019-21
Number of
Number of Perinatal pregnancies of
Number of early neonatal mortality 7 or more
Background characteristic stillbirths1 deaths2 rate3 months' duration

<20 413 816 42.3 29,044
20-29 1,819 3,166 29.4 169,324
30-39 433 657 34.5 31,566
40-49 25 46 48.2 1,470
Previous pregnancy interval in months4

First pregnancy 1,138 1,952 36.5 84,551
<15 191 500 50.4 13,737
15-26 527 928 30.4 47,910
27-38 315 529 23.5 35,962
39 or more 520 775 26.3 49,244
Residence
Urban 631 895 24.8 61,575
Rural 2,059 3,789 34.4 169,829
Schooling
No schooling 699 1,349 41.2 49,739
<5 years complete 143 267 36.8 11,124
5-7 years complete 377 735 33.3 33,377
8-9 years complete 530 957 34.6 42,935
10-11 years complete 333 555 28.8 30,829
12 or more years complete 609 821 22.6 63,401
Religion
Hindu 2,169 3,812 32.5 183,772
Muslim 433 722 30.7 37,597
Christian 47 71 24.5 4,794
Sikh 23 44 23.3 2,876
Buddhist/Neo-Buddhist 12 13 22.8 1,101
Jain 1 1 5.3 328
Other 5 22 29.3 936
Caste/tribe
Scheduled caste 779 1,285 38.2 54,063
Scheduled tribe 261 526 34.0 23,181
Other backward class 1,079 2,019 30.8 100,539
Other 552 802 26.3 51,466
Don't know 18 53 33.0 2,154
Wealth quintile
Lowest 770 1,571 41.1 56,979
Second 636 1,226 37.0 50,335
Middle 527 845 30.4 45,189
Fourth 481 702 27.8 42,611
Highest 275 341 17.0 36,290
Total 2,690 4,684 31.9 231,404

1 Stillbirths are foetal deaths in pregnancies lasting 7 or more months
2
Early neonatal deaths are deaths at age 0-6 days among live-born children
3 The sum of the number of stillbirths and early neonatal deaths divided by the number of pregnancies of 7 or more
months' duration, expressed per 1,000

4 Categories correspond to birth intervals of <24 months, 24-35 months, 36-47 months, and 48 or over months
255
Table 7.6 Perinatal mortality by state/union territory
Perinatal mortality rates for the 5-year period preceding
the survey, by state/union territory, India, 2019-21
Perinatal
State/union territory mortality rate
India 31.9
North
Chandigarh 19.1
Delhi 24.5
Haryana 30.4
Jammu & Kashmir 14.9
Ladakh 30.0
Punjab 26.2
Rajasthan 22.8
Uttarakhand 40.6
Central
Chhattisgarh 38.7
Madhya Pradesh 34.1
Uttar Pradesh 43.9
East
Bihar 43.0
Jharkhand 39.7
Odisha 35.5
West Bengal 27.5
Northeast
Assam 29.8
Manipur 20.5
Meghalaya 27.1
Mizoram 13.7
Nagaland 12.5
Sikkim 17.6
Tripura 32.9
West
Daman & Diu 20.0
Goa 2.4
Gujarat 25.2
Maharashtra 21.4
South
Andhra Pradesh 26.7
Karnataka 21.4
Kerala 6.2
Lakshadweep 3.6
Puducherry 3.7
Tamil Nadu 17.8
Telangana 23.1
Note: The perinatal mortality rate is the sum of the number of

stillbirths and early neonatal deaths divided by the number of
pregnancies of 7 or more months' duration, expressed per 1,000.
256
Table 7.7 High-risk fertility behaviour
Percent distribution of children born in the 5 years preceding the survey by category of elevated risk of mortality
and the risk ratio, and percent distribution of currently married women by category of risk if they were to
conceive a child at the time of the survey, India, 2019-21
Births in the 5 years

preceding the survey Percentage of
Percentage Risk currently
Risk category of births ratio married women1
Not in any high-risk category 34.2 1.00 55.8a
Unavoidable risk category

First order births between ages 18 and 34 years 36.6 1.38 7.9
Single high-risk category

Mother's age <18 2.6 1.84 0.2
Mother's age >34 1.5 1.16 11.3
Birth interval <24 months 12.9 1.78 7.2
Birth order >3 6.9 1.56 4.7
Subtotal 24.0 1.68 23.4
Multiple high-risk category

Mother's age <18 and birth interval <24 months2 0.2 2.14 0.0
Mother's age >34 and birth interval <24 months 0.1 2.69 0.2
Mother's age >34 and birth order >3 1.6 1.90 10.3
Mother's age >34 and birth interval <24 months
and birth order >3 0.3 4.41 0.3
Birth interval <24 months and birth order >3 3.0 2.63 2.1
Subtotal 5.2 2.50 12.9
In any avoidable high-risk category 29.2 1.83 36.3
Total 100.0 na 100.0
Number of births 228,898 na 521,352
Note: Risk ratio is the ratio of the proportion dead among births in a specific high-risk category to the proportion dead among
births not in any high-risk category.
na = Not applicable
1
Women are assigned to risk categories according to the status they would have at the birth of a child if they were to conceive
at the time of the survey: current age less than 17 years and 3 months or greater than 34 years and 2 months, latest birth less
than 15 months ago, or latest birth of order 3 or higher.
2
Includes the category mother's age <18 and birth order >3
a
Includes sterilized women
257
258
MATERNAL HEALTH 8
Key Findings
 Antenatal care (ANC): The proportion of women age 15-49 in

India who received ANC has risen from 84 percent in NFHS-4
(2015-16) to 94 percent in NFHS-5 (2019-2021), and 85 percent
received ANC from a skilled provider in NFHS-5. Seventy percent
of women had their first ANC visit during the first trimester and 59
percent had four or more ANC visits, an increase from 51 percent
in 2015-16.
 Components of antenatal care: Pregnant women are more likely
to have their weight measured (97%), their blood pressure
measured (96%), and a blood sample taken (94%), than to take
iron and folic acid (IFA) tablets for at least 100 days (44%) or to
take an intestinal parasite drug (31%). A urine sample was taken
for 94 percent of women and 67 percent of women had their
abdomen examined.
 Protection against neonatal tetanus: Ninety-two percent of
women’s last live births were protected against neonatal tetanus.
 Delivery: Institutional deliveries have increased markedly from 39
percent in 2005-06 to 79 percent in 2015-16 and 89 percent in
2019-21.
 C-sections: The rate of C-section deliveries increased from 17
percent in 2015-16 to 22 percent in 2019-21. C-sections are
particularly common in private sector health facilities (48% of
deliveries).
 Postnatal checks: Eighty-two percent of newborns had a
postnatal check within 2 days of birth. Seventy-three percent of
newborns had their cord examined, while 76 percent had their
temperature measured.
H
ealth care services during pregnancy and childbirth and after delivery are important for the survival and well-
being of both the mother and the infant. Antenatal care (ANC) can reduce the health risks for mothers and their
babies by monitoring pregnancies and screening for complications. Delivery at a health facility, with skilled
medical attention and hygienic conditions, reduces the risk of complications and infections during labour and
delivery.
To improve the access to quality health care, especially for those residing in rural areas, the poor, women, and children,
the government launched the National Rural Health Mission for the 2005-2012 period. One of the important goals of the
National Rural Health Mission (NRHM) was to provide access to improved health care at the household level through
female Accredited Social Health Activists (ASHAs), who act as an interface between the community and the public health
system. The National Urban Health Mission (NUHM) was established as a Sub-mission of the over-arching National Health
Mission (NHM) in 2013, with NRHM being the other Sub-mission of the National Health Mission.
259
At the same time, the RMNCH+A (reproductive, maternal, newborn, child, and adolescent health) approach was launched
to address the major causes of mortality among women and children as well as the delays in accessing and utilizing health
care and services. The RMNCH+A strategic approach was developed to provide an understanding of the ‘continuum of
care’ to ensure an equal focus on various life stages.
This chapter presents information on ANC providers, the number and timing of ANC visits, and various components of
maternal care. The chapter examines childbirth and postnatal care and presents information on the place of delivery,
assistance during delivery, caesarean delivery, cost of delivery, and postnatal health checks for mothers and newborns.
8.1 PREGNANCY REGISTRATION

8.1.1 Registration of Pregnancies
Ninety-four percent of women age 15-49 who had a live birth in the five years before the survey registered the pregnancy
for their most recent birth. Pregnancy registration is 90 percent or more for all groups, except for women age 35-49, women
with no schooling, and births of order four or more (Table 8.1).
8.1.2 Mother and Child Protection Card (MCP Card)
The Mother and Child Protection Card (MCP Card) is a tool for informing and educating mothers and families on different
aspects of maternal and child care and linking maternal and childcare into a continuum of care through the Integrated Child
Development Services (ICDS) scheme of the Ministry of Women and Child Development and the National Rural Health
Mission (NRHM) of the Ministry of Health and Family Welfare. The card also captures some of the key services delivered
to mothers and babies during antenatal, delivery, and postnatal care for ensuring that the minimum package of services is
delivered to the beneficiary. The card also serves as a tool for providing complete immunization to infants and children,
early and exclusive breastfeeding, complementary feeding, and growth monitoring. Ninety-six percent of women age 15-
49 who had a live birth in the five years before the survey and registered their last pregnancy received an MCP Card for
that birth (Table 8.1). Differentials by background characteristics are generally quite small.
8.2 ANTENATAL CARE COVERAGE AND CONTENT

8.2.1 Skilled Providers
Antenatal care (ANC) from a skilled provider

Pregnancy care received from skilled providers, that is, doctors, auxiliary nurse
midwives (ANMs), nurses, midwives, and lady health visitors.
Sample: Women age 15-49 who had a live birth in the five years before the
survey
Eighty-five percent of women age 15-49 who had a live birth in the five years before the survey received antenatal care
from a skilled provider at least once for their last birth (Table 8.3). The majority of women received antenatal care from
doctors (63%), followed by auxiliary nurse midwives (ANMs), nurses, midwives, and lady health visitors (LHVs) (23%).
Table 8.4 shows that use of a skilled provider for ANC is low in Bihar (68%) and Nagaland (70%), and high in Goa,
Kerala, and Lakshadweep (98% or more).
• Use of a skilled provider for ANC services is higher in urban areas than rural areas (92% and 83%, respectively).
• Use of a skilled provider for ANC services increases with rising education. Seventy-three percent of women with no
schooling obtained ANC services from a skilled provider, compared with 92 percent of women with 12 or more years
of schooling.
260
• Women in the highest wealth quintile are much more likely to receive ANC from a skilled provider (94%) than those
in the lowest quintile (72%).
• Women in the younger ages (below 20 years) are more likely to receive ANC from a skilled provider than women in
the older age group 35-49 years (84% versus 80%).
• Similarly, women with a first birth are more likely to receive ANC from a skilled provider than women with a birth
of order 6 and above (89% versus 67%).
8.2.2 Timing and Number of ANC Visits
More than half (59%) of women had at least four ANC visits during their last pregnancy, as recommended by WHO (Table
8.5). Six percent of women had no ANC visits. Urban women are more likely to have four or more ANC visits than rural
women (69% and 55%, respectively).
Seventy percent of women had their first ANC visit during the first trimester 17 percent of women had their first ANC visit
during the fourth and fifth month of pregnancy, and 7 percent first received ANC in the sixth month or later. The median
number of months pregnant at the time of the first visit for all women with at least one ANC visit is 3.5 months.
The proportion of women who had at least four ANC visits during their last pregnancy is lowest in Nagaland (21%) and
Bihar (25%) and highest in Goa (93%), Lakshadweep (92%), and Tamil Nadu (91%) (Table 8.11). Further, in 254 among
707 districts in India, over 70 percent of mothers who had their last birth in the five years preceding the survey had at least
four ANC visits. On the other hand, there are a few districts, especially in Bihar and some states in the Northeastern region,
that have less than 30 percent of mothers who received at least four ANC visits (Map 8.1).
Figure 8.1 Trends in Antenatal Coverage

Percentage of women age 15-49
NFHS-4 NFHS-5
70
59 59
51
Four or more ANC visit during

ANC visits first trimester
Trends: The proportion of women that received the recommended four or more ANC visits increased from 51 percent in
2015-16 to 59 percent in 2019-2021 (Figure 8.1). Over the same time period, the proportion of women who received ANC
in the first trimester increased from 59 percent to 70 percent.
261
262
8.3 COMPONENTS OF ANC VISITS
In India, 67-97 percent of women who received

ANC for their most recent live birth in the past five Figure 8.2 Components of Antenatal Care
years had their weight measured, a blood sample Among
Among women
women who
who received
received ANC
ANC for
for their
their most
most recent
recent birth,
birth,
taken, a urine sample taken, their abdomen percentage who received selected services
percentage who received selected services
examined, and their blood pressure measured
(Figure 8.2). More than half of the women received
information on specific pregnancy complications, Weighed 97
Weighed 97
namely convulsions (60%), vaginal bleeding (61%),
prolonged labour (66%), high blood pressure (67%), Blood pressure measured 96
and severe abdominal pain (68%). Four-fifths (80%) Blood pressure measured 96
were told where they could go if they experienced
Urine sample taken 94
pregnancy complications. Eighty-eight percent of Urine sample taken 94
women with a birth in the past five years were given
or purchased iron and folic acid (IFA) tablets during Blood sample taken 94
the pregnancy for their most recent birth, but only Blood sample taken 94
44 percent took the tablets for at least 100 days. Only Abdomen examined 67
31 percent took an intestinal parasite drug during the Abdomen examined 67
pregnancy (Table 8.7 and Table 8.8).
8.4 PROTECTION AGAINST NEONATAL TETANUS
Protection against neonatal tetanus

The number of tetanus toxoid injections needed to protect a baby from neonatal
tetanus depends on the mother’s vaccinations. A birth is protected against
neonatal tetanus if the mother has received any of the following:
 Two tetanus toxoid injections during that pregnancy
 Two or more injections, the last one within three years of the birth
 Three or more injections, the last one within five years of the birth
 Four or more injections, the last one within ten years of the birth
 Five or more injections at any time prior to the birth
Sample: Last live births in the five years before the survey to women age 15-49
Neonatal tetanus, a major cause of early infant death in many developing countries, is often due to failure to observe
hygienic procedures during delivery. Table 8.7 shows that 92 percent of women’s last births were protected against
neonatal tetanus.
• More than 9 in 10 women less than age 35 had their last birth protected against neonatal tetanus, compared with 90
percent of older women age 35-49.
• The percentage of women whose last birth was protected against neonatal tetanus increases with education, from 89
percent among women with no schooling to 93 percent among those with 12 or more years of schooling.
• Similarly, the percentage of women whose last birth was protected against neonatal tetanus increases with wealth
quintiles, from 90 percent among women in households in the lowest wealth quintile to 94 percent among those in the
263
8.5 ULTRASOUND TESTING DURING PREGNANCY
Seventy-eight percent of mothers had an ultrasound test during their pregnancies in last 5 years (Table 8.12).
Trends: Between 2015-16 and 2019-21, the proportion of pregnancies with an ultrasound test increased from 61 percent
to 78 percent.
• Ultrasound tests are particularly common in urban areas, among women with 12 or more years of schooling, for Jain
and Sikh women, and for women in households in the two highest wealth quintiles.
• Women with no sons are more likely than women with one or more sons to have an ultrasound test.
• Women with no sons who have an ultrasound test are much more likely to have the pregnancy end in the birth of a son
than the birth of a daughter. For example, for women with no sons and three daughters who had an ultrasound test, 51
percent of their pregnancies resulted in the birth of a son and 37 percent resulted in the birth of a daughter. The results
provide clear evidence of the existence and impact of son preference in India.
8.6 DELIVERY SERVICES
8.6.1 Institutional Deliveries
Institutional deliveries
Deliveries that occur in a health facility.
Sample: All live births in the five years before the survey
Increasing institutional deliveries is an important factor in reducing maternal and neonatal mortality. Eighty-nine percent
of live births in the five years before the survey were delivered in a health facility (Table 8.13). The most common reason
for not delivering in a health facility was that the woman did not think it was necessary (28%), but 19 percent said that the
husband or family did not allow them to have the delivery in a health facility, 17 percent of women said that a health
facility was too far or there was no transportation, and 15 percent said it costs too much (Table 8.14).
Trends: Institutional deliveries increased between 2015-16 and 2019-21, from 79 percent to 89 percent (Figure 8.3).
Figure 8.3 Trends in Health Facility Births

Percentage of births in the five years before the survey
NFHS-4 NFHS-5
94
89 89 87
79
75
Total Urban Rural
264
• Higher-order births are much less likely to be institutional deliveries; only 64 percent of sixth or higher order births
occurred at a health facility, compared with 94 percent of first births.
• Antenatal care increases the likelihood of an

institutional delivery. Ninety-four percent of Figure 8.4 Health Facility Births by Schooling
births to mothers who had four or more ANC Percentage of births in the five years before the survey
visits were delivered in a health facility,
compared with 70 percent of births to mothers
who had no ANC visits. 95 97
91
87
83
• Ninety-four percent of births to urban women 75
were delivered in a health facility, compared with

87 percent of births to rural women.
• The mother’s educational status is highly

correlated with the place of delivery. Ninety-
seven percent of births to mothers with 12 or
more year of schooling were delivered in a health No schooling <5 years 5-7 years 8-9 years 10-11 years 12 or more
facility, compared with 75 percent of births to complete complete complete complete years
complete
mothers with no schooling (Figure 8.4).
• Similarly, 97 percent of births to mothers in households in the highest wealth quintile were delivered in a health facility,
compared with 76 percent of births to mothers in households in the lowest wealth quintile.
• Almost 100 percent of births in Puducherry, Goa, Kerala, Lakshadweep, and Tamil Nadu were delivered in a health
facility. Ninety-five percent of births or more were delivered in health facilities in 16 states and union territories. At
the other end of the spectrum, less than half (46%) of the births in Nagaland and 58 percent of the births in Meghalaya
were delivered in health facilities (Figure 8.5).
265
Figure 8.5 Health Facility Births by State/UT
Percentage of live births in the five years before the survey
Tamil Nadu 100
Puducherry 100
Lakshadweep 100
Kerala 100
Goa 100
Telangana 97
Karnataka 97
Andhra Pradesh 97
Chandigarh 97
Maharashtra 95
Sikkim 95
Rajasthan 95
Ladakh 95
Haryana 95
Gujarat 94
Punjab 94
West Bengal 92
Odisha 92
Jammu & Kashmir 92
Delhi 92
Madhya Pradesh 91
Tripura 89
Himachal Pradesh 88
INDIA 86
Mizoram 86
Chhattisgarh 86
Assam 84
Uttar Pradesh 83
Uttarakhand 83
Manipur 80
Jharkhand 76
Bihar 76
Meghalaya 58
Nagaland 46
8.6.2 Skilled Assistance during Delivery
Skilled assistance during delivery

Births delivered with the assistance of doctors, auxiliary nurse midwives,
nurses, midwives, and lady health visitors.
Sample: All live births in the five years before the survey
Assistance during childbirth can influence the birth outcome and the health of the mother and the newborn. A skilled
attendant can manage complications of pregnancy and delivery or refer the mother and/or the baby to the next level of care.
In the five years before the survey, almost 9 in 10 live births (89%) were delivered by a skilled provider (Table 8.19). The
majority of births were attended by doctors (62%), followed by ANMs, nurses, midwives, and LHVs (27%), and dais
(TBAs) (6%) (Figure 8.6).
Trends: Skilled assistance during deliveries in India has increased substantially; the proportion of births assisted by a
skilled provider increased from 81 percent in 2015-16 to 89 percent in 2019-21.
266
 Ninety-five percent of births to mothers who had four
or more ANC visits were delivered by a skilled
Figure 8.6 Assistance during Delivery
Percent distribution of births in the five years before
attendant, compared with 72 percent of births to
the survey
mothers with no ANC visits. Other No one
0.7% 0.3%
Friends/relatives
 Only 28 percent of births that took place at the woman’s 3.7%
own home were delivered by a skilled provider. Dai (TBA)

5.9%
 Births to women in urban areas (94%) are more likely

Other health
to be delivered by a skilled provider than births to personnel
0.5%
women in rural areas (88%).
 The mothers’ educational status is highly correlated
with skilled delivery. Ninety-six percent of births to
ANM/nurse/
mothers with 12 or more years of schooling were midwife/LHV
27% Doctor
delivered by a skilled attendant, compared with 78 62%
percent of births to mothers with no schooling.

 Skilled birth attendance increases from 79 percent of
women in the lowest wealth quintile to 97 percent of
women in the highest wealth quintile (Figure 8.7).
Figure 8.7 Skilled Assistance at Delivery by

Household Wealth
Percentage of live births in the five years before the survey
95 97
92
88
79
Poorest Wealthiest
8.6.3 Delivery by Caesarean Section
Access to caesarean section (C-section) can reduce maternal and neonatal mortality and complications such as obstetric
fistula. However, a caesarean section without a medical need can put a woman at risk of short and long-term health
problems. WHO advises that caesarean sections should only be done when medically necessary, and does not recommend
a target rate for countries to achieve at the population level.
267
The 2019-21 NFHS found that 22 percent of live births in the five years before the survey were delivered by caesarean
section. Nine percent of the C-sections were decided on after the onset of labour pains, compared with 12 percent that were
decided on before the onset of labour pains (Table 8.19).
Trends: Since 2015-16, the rate of C-sections has increased, from 17 percent to 22 percent in 2019-21.
• Caesarean deliveries are more common among first births (28%) than higher-order births (ranging from 4% to 20%).
• C-sections are particularly common in private sector health facilities (48% of deliveries), an increase from 41 percent
in 2015-16.
• The caesarean delivery rate is higher in urban than rural areas (32% against 18%).
• More educated women are much more likely to undergo caesarean deliveries. The caesarean rate for deliveries for
women with 12 or more years of schooling is 35 percent, compared with 27 percent for women with 10-11 years of
schooling, 19 percent for women with 8-9 years of schooling, and 8 percent for women with no schooling.
There is strong positive relationship between wealth quintiles and delivery by C-section. Mothers in households in the
highest wealth quintile are much more likely to deliver through C-section (39%) than mothers in households in the lowest
wealth quintile (7%) (Table 8.19). It is noticeable that a majority of districts in India have over 30 percent of births
delivered in private health facilities that were conducted through C-section (Map 8.2).
268
8.7 DELIVERY COSTS
The average out-of-pocket cost paid for delivery for the most recent live birth among women age 15-49 who had a live
birth in the five years preceding the survey that was delivered in a health facility was Rs. 10,035 (Table 8.20). The average
cost was almost eight times as high in private health facilities (Rs. 24,663) as in public health facilities (Rs. 3,245).
269
8.8 POSTNATAL CARE
Among women age 15-49 giving birth in the five years before the survey with their most recent live birth in a health
facility, 90 percent of women delivering through C-section in a private health facility stayed for 3 or more days after the
delivery. Eighty-eight percent of women delivering through C-section in a health facility stayed for 3 or more days after
the delivery (Table 8.21).
8.8.1 Postnatal Health Check for Mothers
A large proportion of maternal and neonatal deaths occur during the first 24 hours after delivery. For both the mother and
the infant, prompt postnatal care is important to treat complications that arise from delivery and to provide the mother with
important information on caring for herself and her baby. The Ministry of Health and Family Welfare (MoHFW)
recommends that all women who deliver in a health facility receive a postnatal health check within the first 24 hours after
delivery and that women giving birth outside of a health facility should be referred to a health facility for a postnatal check
within 12 hours after giving birth.
The 2019-21 NFHS found that among women age 15-49 giving birth in the five years before the survey, 61 percent had a
postnatal check during the first two days after birth. Sixteen percent of mothers did not receive any postnatal checks (Table
8.22).
Trends: The proportion of mothers who received a postnatal check in the first two days after birth decreased from 65
percent to 61 percent between 2015-16 and 2019-21.

• Women who delivered in a health facility were more likely to receive a postnatal health check within two days of
delivery than those who delivered elsewhere (Figure 8.8).
• Sixty-two percent of urban women and 61 percent of rural women received a postnatal check within two days.
Figure 8.8 Postnatal Care by Place of Delivery

Percentage of last births in the five years before the survey for which
women and newborns received a postnatal check during the first two
days after birth
Health facility Elsewhere Total
87
82
63 61
46
30
Women Newborns
• Women with 12 or more years of schooling (62%) are more likely than women with no schooling (59%) to have a
postnatal check within two days.
270
• Women from the wealthiest households (63%) are more likely to receive a postnatal check within two days than
women from the lowest wealth quintile (58%).
• Mothers were most likely to receive a postnatal check within two days of delivery in Goa (95%), Puducherry,
Lakshadweep, Tamil Nadu, Odisha, Haryana, and Kerala (93% each), and least likely to receive a postnatal check
within two days in Nagaland (48%), Meghalaya (56%), Arunachal Pradesh (59%), and Bihar (64%).
The skills of the provider are an important factor in determining the provider’s ability to diagnose problems and recommend
appropriate treatment or referral. In India, less than half (43%) of the women received their first postnatal check from a
doctor; 26 percent received a postnatal check from an ANM, nurse, midwife, or LHV, and 12 percent from an ASHA. Only
2 percent of women received a check from a dai (TBA) (Table 8.23).
8.8.2 Postnatal Health Checks for Newborns
The first 48 hours of life are a critical phase in the lives of newborn babies and a period in which many neonatal deaths
occur. Lack of postnatal health checks during this period can delay the identification of newborn complications and the
initiation of appropriate care and treatment.
In India, 82 percent of newborns in the last five years had a first postnatal check within the first 2 days after birth (Table
8.24). Fourteen percent of newborns did not receive any postnatal health check.
• Newborns delivered in a health facility were substantially more likely to receive a postnatal health check within two
days of birth than those delivered elsewhere, particularly at their own home/parent’s home.
• There is a substantial variation in the proportion of newborns with a postnatal check in the first 2 days after birth by
the mother’s level of education. Eighty-eight percent of babies born to mothers with 12 or more years of schooling
received a postnatal check within two days, compared with 77 percent of babies born to mothers with less than 5 years
of schooling and 69 percent of babies born to mothers with no schooling.
Fifteen percent of newborns received their first postnatal check from a doctor, while 11 percent received their first
postnatal check from an ANM, nurse, midwife, or LHV (Table 8.25).
Seventy-three percent of newborns had their cord examined, while 76 percent had their temperature measured. Among
women age 15-49 with a live birth in the five years preceding the survey, 73 percent were counselled on the danger signs
for newborns, 81 percent were counselled on breastfeeding, while 77 percent were observed breastfeeding the baby (Table
8.26).
A summary of symptoms of postpartum complications for all pregnancies in the five years before the survey is presented
in Table 8.27.
271
LIST OF TABLES
For more information on maternal health, see the following tables:
Tables
Table 8.1 Pregnancy registration and Mother and Child Protection Card
Table 8.2 Health problems during pregnancy
Table 8.3 Antenatal care
Table 8.4 Antenatal care by state/union territory
Table 8.5 Number of antenatal care visits and timing of first visit
Table 8.6 Number of antenatal care visits and timing of first visit by source
Table 8.7 Components of antenatal care
Table 8.8 Antenatal care services and information received
Table 8.9 Male involvement in antenatal care
Table 8.10 Reasons why child’s mother did not receive antenatal care: Men
Table 8.11 Antenatal care indicators by state/union territory
Table 8.12 Pregnancies for which an ultrasound test was done
Table 8.13 Place of delivery
Table 8.14 Reasons for not delivering in a health facility
Table 8.15 Institutional delivery of youngest child: Men
Table 8.16 Delivery and other related information given to men: Men’s reports
Table 8.17 Delivery and other related information given to men by state/union territory: Men’s reports
Table 8.18 Adherence to delivery protocol for home delivery
Table 8.19 Assistance during delivery
Table 8.20 Delivery costs
Table 8.21 Duration of stay in health facility after birth
Table 8.22 Timing of first postnatal health check for the mother
Table 8.23 Type of provider of first postnatal health check for the mother
Table 8.24 Timing of first postnatal health check for the newborn
Table 8.25 Type of provider of first postnatal health check for the newborn
Table 8.26 Components of postnatal health check
Table 8.27 Symptoms of postpartum complications
Table 8.28 Maternal care indicators by state/union territory
Table 8.29 Trends in maternal care indicators
Table 8.30 Advice received during pregnancy
Table 8.31 Delivery and postnatal care by state/union territory
Table 8.32 Birth order and delivery characteristics by state/union territory
272
Table 8.1 Pregnancy registration and Mother and Child Protection Card
Percentage of women age 15-49 who had a live birth in the 5 years preceding the survey who registered the pregnancy for the most recent
live birth; and among registered pregnancies, percent distribution by the timing of the registration and percentage who received a Mother
and Child Protection Card (MCP Card), by background characteristics, India, 2019-21
Percentage of Percentage
Timing of pregnancy registration
pregnancies of mother's Number of
Background that were Number of First given an registered
characteristic registered pregnancies trimester Later Don't know Total MCP card pregnancies

<20 94.8 17,680 85.2 14.4 0.3 100.0 96.4 16,757
20-34 94.0 150,036 85.4 14.3 0.4 100.0 96.0 140,959
35-49 89.7 7,231 81.4 18.3 0.4 100.0 93.6 6,489
Birth order
1 95.1 60,681 87.4 12.2 0.4 100.0 96.5 57,679
2-3 94.3 91,908 85.3 14.3 0.4 100.0 96.0 86,689
4 or more 88.7 22,358 78.1 21.5 0.4 100.0 94.1 19,837
Residence
Urban 93.6 49,341 87.2 12.4 0.4 100.0 94.9 46,203
Rural 93.9 125,606 84.4 15.2 0.3 100.0 96.3 118,002
Schooling
No schooling 89.4 34,350 79.3 20.3 0.4 100.0 94.6 30,704
<5 years complete 94.0 8,191 82.8 16.9 0.3 100.0 96.2 7,703
5-7 years complete 94.7 24,483 84.2 15.5 0.3 100.0 96.7 23,182
8-9 years complete 95.5 32,277 85.8 13.9 0.3 100.0 96.6 30,840
10-11 years complete 95.8 23,982 87.7 12.0 0.3 100.0 96.7 22,969
12 or more years
complete 94.5 51,664 88.2 11.3 0.5 100.0 95.5 48,806
Religion
Hindu 94.2 139,207 85.0 14.7 0.4 100.0 96.1 131,090
Muslim 92.4 27,843 85.5 14.2 0.3 100.0 95.2 25,739
Christian 93.3 3,689 84.6 14.5 0.9 100.0 94.9 3,443
Sikh 93.2 2,324 92.2 7.0 0.8 100.0 96.9 2,165
Buddhist/Neo-Buddhist 95.2 887 93.4 6.4 0.2 100.0 97.0 845
Jain 93.7 272 93.0 6.8 0.3 100.0 98.2 255
Other 92.3 724 85.0 14.6 0.4 100.0 93.8 668
Caste/tribe
Scheduled caste 93.8 39,627 84.6 15.1 0.3 100.0 96.5 37,169
Scheduled tribe 94.3 17,291 85.6 14.0 0.3 100.0 96.2 16,304
Other 93.9 41,236 87.3 12.4 0.4 100.0 95.6 38,732
Don't know 92.5 1,560 84.9 14.8 0.3 100.0 94.7 1,444
Wealth quintile
Lowest 90.6 39,839 79.8 19.8 0.4 100.0 95.1 36,096
Second 94.2 36,811 83.2 16.4 0.4 100.0 96.4 34,679
Middle 95.6 34,249 86.3 13.4 0.3 100.0 96.8 32,742
Fourth 95.6 33,650 88.1 11.5 0.3 100.0 96.5 32,184
Highest 93.8 30,398 89.8 9.7 0.4 100.0 94.7 28,505
Total 93.9 174,947 85.2 14.4 0.4 100.0 95.9 164,205
273
Table 8.2 Health problems during pregnancy
Among women age 15-49 who had a live birth in the 5 years preceding the survey,
percentage who experienced specific health problems during pregnancy for the
most recent live birth, by residence, India, 2019-21
Problem during pregnancy Urban Rural Total
Difficulty with vision during daylight 8.1 10.3 9.7

Convulsions not from fever 12.7 16.3 15.3
Swelling of the legs, body, or face 35.1 30.2 31.5
Number of women 49,341 125,606 174,947
274
Table 8.3 Antenatal care
Percent distribution of women age 15-49 who had a live birth in the 5 years preceding the survey by antenatal care (ANC) provider during pregnancy
for the most recent live birth and percentage receiving ANC from a skilled provider, according to background characteristics, India, 2019-21
Percentage
ANM/ Community/ receiving
nurse/ village ANC from
midwife/ Dai/ Anganwadi/ health a skilled Number of
Background characteristic Doctor LHV TBA ICDS worker worker ASHA Other No ANC Total provider1 women

<20 63.3 20.7 0.3 4.4 0.1 4.5 0.2 6.6 100.0 83.9 17,680
20-34 62.8 22.7 0.3 4.4 0.1 3.7 0.1 5.9 100.0 85.5 150,036
35-49 56.8 23.2 0.7 4.7 0.2 4.2 0.1 10.1 100.0 80.0 7,231
Birth order
1 69.7 19.3 0.2 3.2 0.1 3.1 0.1 4.2 100.0 89.0 60,681
2-3 62.8 22.5 0.3 4.4 0.2 3.8 0.1 5.9 100.0 85.4 91,908
4-5 44.5 30.3 0.7 7.4 0.2 5.5 0.1 11.2 100.0 74.8 17,962
6 or more 33.7 33.5 1.1 8.1 0.2 5.7 0.2 17.4 100.0 67.2 4,396
Residence
Urban 76.0 15.5 0.2 2.3 0.1 1.4 0.2 4.3 100.0 91.5 49,341
Rural 57.3 25.2 0.4 5.2 0.2 4.7 0.1 6.9 100.0 82.6 125,606
Schooling
No schooling 43.0 29.7 0.9 7.7 0.2 5.8 0.1 12.7 100.0 72.7 34,350
<5 years complete 56.9 24.1 0.4 5.2 0.2 4.9 0.1 8.2 100.0 81.0 8,191
5-7 years complete 59.3 24.2 0.4 5.1 0.2 4.3 0.1 6.4 100.0 83.4 24,483
8-9 years complete 61.3 24.5 0.3 4.6 0.2 3.9 0.1 5.1 100.0 85.9 32,277
10-11 years complete 71.2 18.7 0.1 3.0 0.1 3.1 0.1 3.7 100.0 89.9 23,982
12 or more years complete 75.0 17.1 0.1 2.3 0.1 2.2 0.1 3.1 100.0 92.1 51,664
Religion
Hindu 62.3 23.0 0.3 4.7 0.1 3.6 0.1 5.8 100.0 85.3 139,207
Muslim 63.1 20.4 0.5 3.4 0.1 4.9 0.1 7.5 100.0 83.5 27,843
Christian 76.1 12.8 0.2 2.1 0.1 1.9 0.1 6.6 100.0 88.9 3,689
Sikh 54.4 31.2 0.4 2.8 0.2 5.7 0.3 5.2 100.0 85.6 2,324
Buddhist/Neo-Buddhist 73.9 14.3 0.3 1.4 0.2 1.9 0.0 8.1 100.0 88.1 887
Jain 88.6 7.2 0.0 0.8 0.0 0.6 0.3 2.6 100.0 95.7 272
Other 43.0 32.4 0.6 9.8 0.2 3.9 0.5 9.6 100.0 75.4 724
Caste/tribe
Scheduled caste 58.2 24.7 0.4 5.0 0.2 4.6 0.2 6.7 100.0 83.0 39,627
Scheduled tribe 55.2 26.6 0.5 6.9 0.2 3.2 0.1 7.3 100.0 81.8 17,291
Other 70.2 17.7 0.3 2.6 0.1 4.0 0.1 5.0 100.0 87.9 41,236
Don't know 62.1 19.1 0.1 3.9 0.1 4.6 0.2 9.9 100.0 81.3 1,560
Wealth quintile
Lowest 42.0 30.2 0.7 7.9 0.3 6.8 0.1 12.0 100.0 72.2 39,839
Second 55.9 26.8 0.5 5.0 0.1 4.9 0.1 6.7 100.0 82.7 36,811
Middle 67.4 21.3 0.2 3.6 0.2 3.0 0.1 4.2 100.0 88.7 34,249
Fourth 74.2 17.4 0.2 2.7 0.1 1.9 0.1 3.4 100.0 91.6 33,650
Highest 79.6 14.1 0.1 1.8 0.1 1.4 0.1 2.9 100.0 93.7 30,398
Total 62.6 22.5 0.4 4.4 0.1 3.8 0.1 6.1 100.0 85.1 174,947
Note: If more than one source of ANC was mentioned, only the provider with the highest qualification is considered in this table.
ANM = Auxiliary nurse midwife; LHV = Lady health visitor; TBA = Traditional birth attendant; ICDS = Integrated Child Development Services; ASHA = Accredited
Social Health Activist
1
Skilled provider includes doctor, auxiliary nurse midwife, nurse, midwife, and lady health visitor
275
Table 8.4 Antenatal care by state/union territory
Percent distribution of women age 15-49 who had a live birth in the 5 years preceding the survey by antenatal care (ANC) provider during pregnancy
for the most recent live birth and percentage receiving ANC from a skilled provider, according to state/union territory, India, 2019-21
Percentage
ANM/ receiving
nurse/ Community/ ANC from
midwife/ Dai/ Anganwadi/ village health a skilled
State/union territory Doctor LHV TBA ICDS worker worker ASHA Other No ANC Total provider1
India 62.6 22.5 0.4 4.4 0.1 3.8 0.1 6.1 100.0 85.1
North
Chandigarh 63.1 31.8 1.8 0.7 0.0 2.6 0.0 0.0 100.0 94.9
Delhi 74.1 12.6 0.3 3.6 0.2 1.7 0.6 6.9 100.0 86.7
Haryana 62.8 24.4 0.3 6.2 0.1 3.8 0.1 2.3 100.0 87.1
Jammu & Kashmir 86.1 8.1 0.1 0.2 0.1 1.3 0.0 4.1 100.0 94.2
Ladakh 78.3 13.3 0.5 0.5 0.0 1.9 0.0 5.5 100.0 91.6
Punjab 52.2 33.6 0.5 2.0 0.1 5.9 0.3 5.3 100.0 85.9
Rajasthan 61.7 27.4 0.4 3.5 0.0 1.3 0.1 5.7 100.0 89.1
Uttarakhand 66.7 20.5 0.5 2.6 0.0 2.0 0.0 7.6 100.0 87.2
Central
Chhattisgarh 40.7 44.8 0.7 7.3 0.1 1.5 0.1 4.8 100.0 85.4
Madhya Pradesh 36.3 44.1 0.4 11.1 0.1 3.2 0.2 4.6 100.0 80.4
Uttar Pradesh 47.8 33.7 0.7 5.3 0.1 7.0 0.1 5.3 100.0 81.5
East
Bihar 38.7 29.0 0.5 9.2 0.3 4.3 0.1 17.9 100.0 67.7
Jharkhand 42.9 36.4 0.6 10.2 0.2 1.7 0.0 8.1 100.0 79.2
Odisha 82.1 8.1 0.0 5.7 0.0 2.5 0.1 1.3 100.0 90.2
West Bengal 70.7 13.4 0.2 1.1 0.2 8.5 0.2 5.6 100.0 84.1
Northeast
Assam 59.7 25.4 0.5 0.9 0.2 8.9 0.1 4.3 100.0 85.1
Manipur 91.0 1.2 0.1 0.0 0.1 0.6 0.2 7.0 100.0 92.2
Meghalaya 61.9 21.8 0.6 0.5 0.3 2.0 0.3 12.6 100.0 83.7
Mizoram 69.4 17.1 0.2 1.4 1.4 2.7 0.4 7.5 100.0 86.5
Nagaland 49.8 20.6 0.2 0.2 0.5 1.4 0.1 27.3 100.0 70.4
Sikkim 67.0 14.4 0.0 3.2 0.3 2.3 0.0 12.8 100.0 81.3
Tripura 82.1 1.5 0.1 0.3 0.0 1.9 0.3 13.8 100.0 83.6
West
Daman & Diu 75.3 21.6 0.4 0.2 0.0 0.5 0.0 2.0 100.0 96.9
Goa 97.7 0.9 0.0 0.4 0.0 0.0 0.0 0.9 100.0 98.7
Gujarat 75.2 11.1 0.2 5.0 0.1 3.9 0.0 4.6 100.0 86.2
Maharashtra 80.9 11.8 0.2 1.4 0.1 0.5 0.0 5.1 100.0 92.8
South
Andaman & Nicobar Islands 45.7 46.9 0.0 0.1 0.0 0.0 0.5 6.9 100.0 92.6
Andhra Pradesh 90.2 5.1 0.0 1.7 0.0 2.1 0.2 0.7 100.0 95.3
Karnataka 84.2 12.6 0.0 0.7 0.1 0.9 0.0 1.5 100.0 96.8
Kerala 97.9 0.1 0.0 0.1 0.0 0.2 0.0 1.7 100.0 98.0
Lakshadweep 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 100.0
Puducherry 86.4 8.7 0.0 0.3 0.0 0.0 0.0 4.6 100.0 95.1
Tamil Nadu 86.8 8.5 0.0 0.5 0.3 0.1 0.0 3.7 100.0 95.3
Telangana 93.5 3.5 0.0 1.5 0.1 0.6 0.2 0.7 100.0 96.9
Note: If more than one source of ANC was mentioned, only the provider with the highest qualification is considered.
ANM = Auxiliary nurse midwife; LHV = Lady health visitor; TBA = Traditional birth attendant; ICDS = Integrated Child Development Services; ASHA = Accredited
Social Health Activist
1 Skilled provider includes doctor, auxiliary nurse midwife, nurse, midwife, and lady health visitor
276
Table 8.5 Number of antenatal care visits and timing of first visit
Percent distribution of women age 15-49 who had a live birth in the 5 years preceding
the survey by number of antenatal care (ANC) visits for the most recent live birth, and
by the timing of the first visit, and among women with ANC, median months pregnant
at first visit, according to residence, India, 2019-21
Number and timing of ANC visits Urban Rural Total
Number of ANC visits

None 4.3 6.9 6.1
1 4.9 7.2 6.6
2 7.9 13.4 11.8
3 12.9 16.8 15.7
4 or more 68.6 54.5 58.5
Don't know/missing 1.5 1.2 1.3
Total 100.0 100.0 100.0
Number of months pregnant at time

of first ANC visit
No antenatal care 4.3 6.9 6.1
<4 75.5 67.9 70.0
4-5 13.3 18.2 16.8
6-7 2.9 3.5 3.3
8 or more 4.0 3.3 3.5
Total 100.0 100.0 100.0
Number of women 49,341 125,606 174,947
Median months pregnant at first visit

(for those with ANC) 3.3 3.5 3.5
Number of women with ANC 47,234 117,001 164,235
277
Table 8.6 Number of antenatal care visits and timing of first visit by source
Percent distribution of women age 15-49 who had antenatal care (ANC) for their most recent live birth in the 5
years preceding the survey by number of antenatal care (ANC) visits for the most recent live birth, percent
distribution by number of ANC visits and by the timing of the first visit, and median months pregnant at first visit,
according to the source of antenatal care, India, 2019-21
Source
Both public
Public Private/NGO and private/ ANC received
Number and timing of ANC visits sector only sector only NGO sector only at home Total
Number of ANC visits

1 7.4 7.6 1.7 9.3 7.0
2 14.4 10.7 6.7 12.8 12.6
3 18.0 15.4 15.0 13.7 16.7
4 or more 59.1 65.0 76.2 59.4 62.3
Don't know/missing 1.1 1.3 0.3 4.7 1.4
Total 100.0 100.0 100.0 100.0 100.0
Number of months pregnant at time

of first ANC visit
<4 74.0 77.3 82.6 62.3 74.6
4-5 18.9 14.6 14.5 23.0 17.9
6-7 3.4 3.9 1.8 6.4 3.6
8 or more 3.6 4.0 1.1 7.6 3.7
Don't know/missing 0.2 0.2 0.0 0.7 0.2
Total 100.0 100.0 100.0 100.0 100.0
Median months pregnant at first visit

(for those with ANC) 3.5 3.3 3.4 3.6 3.5
Number of women with ANC 97,495 33,219 18,860 14,661 164,235
NGO = Nongovernmental organization
278
Table 8.7 Components of antenatal care
Among women age 15-49 with a live birth in the 5 years preceding the survey, percentages who had four or more antenatal care visits,
were given or purchased iron and folic acid (IFA) tablets or syrup, took IFA for 100 days or more and 180 days or more, received two or
more tetanus toxoid (TT) injections during the pregnancy, whose birth was protected against neonatal tetanus, and who took a drug for
intestinal parasites during the pregnancy for their most recent live birth, by background characteristics, India, 2019-21
Among women with a live birth in the last 5 years,

percentage who during the pregnancy of their last birth:
Had birth
Were protected
Had four or given or Took IFA for Took IFA for Received against Took an
more ANC purchased 100 days or 180 days or two or more neonatal intestinal Number of
Background characteristic visits IFA more more TT injections tetanus1 parasite drug women

<20 58.8 87.9 43.8 24.4 84.9 91.1 27.9 17,680
20-34 58.7 87.8 44.2 26.3 83.0 92.1 31.5 150,036
35-49 54.4 82.9 41.4 24.3 81.9 90.1 30.7 7,231
Birth order
1 65.5 90.6 50.7 31.1 88.3 92.9 31.9 60,681
2-3 58.3 87.8 43.8 25.6 81.2 92.1 31.6 91,908
4-5 42.4 80.1 28.7 14.6 77.5 89.6 26.9 17,962
6 or more 31.5 74.0 21.1 10.4 74.1 85.8 24.8 4,396
Residence
Urban 68.6 89.4 54.0 34.4 85.1 92.7 31.5 49,341
Rural 54.5 86.9 40.2 22.7 82.4 91.7 30.9 125,606
Schooling
No schooling 39.9 78.7 27.2 13.3 78.5 89.1 26.7 34,350
<5 years complete 54.9 84.7 40.1 20.7 81.9 90.5 26.0 8,191
5-7 years complete 56.8 86.7 40.8 22.9 82.2 91.8 30.3 24,483
8-9 years complete 59.7 89.1 43.7 24.8 83.5 92.6 31.7 32,277
10-11 years complete 64.8 90.2 50.2 30.7 84.6 93.1 33.3 23,982
Religion
Hindu 58.5 88.0 43.9 26.1 83.0 92.0 32.2 139,207
Muslim 57.0 85.0 41.7 22.8 83.7 92.0 26.2 27,843
Christian 65.1 91.3 58.1 38.1 82.9 89.6 28.9 3,689
Sikh 59.6 89.7 56.1 40.8 83.1 89.5 24.9 2,324
Jain 86.9 88.9 51.7 31.1 86.5 91.5 20.5 272
Other 49.6 87.6 43.1 22.8 82.4 90.3 28.9 724
Caste/tribe
Scheduled caste 55.3 87.2 41.1 23.8 82.6 91.9 31.2 39,627
Scheduled tribe 57.6 88.3 45.1 25.1 82.3 90.7 35.1 17,291
Other 64.4 88.8 49.4 28.6 84.9 92.6 25.8 41,236
Don't know 57.9 84.3 38.9 23.7 78.4 88.1 21.8 1,560
Wealth quintile
Lowest 41.8 82.7 30.8 15.1 79.7 90.0 28.0 39,839
Second 53.5 86.3 38.0 20.7 82.3 91.9 30.4 36,811
Middle 62.6 88.5 45.6 26.9 83.1 92.2 32.9 34,249
Fourth 67.5 90.3 52.0 32.3 84.8 92.7 33.3 33,650
Highest 71.8 91.8 58.4 38.8 86.8 93.5 31.3 30,398
Total 58.5 87.6 44.1 26.0 83.1 92.0 31.1 174,947

1
Includes mothers with two injections during the pregnancy for her last birth, or two or more injections (the last within 3 years of the last live birth),
or three or more injections (the last within 5 years of the last birth), or four or more injections (the last within 10 years of the last live birth), or five
or more injections at any time prior to the last birth
279
Table 8.8 Antenatal care services and information received
Among women age 15-49 with a live birth in the 5 years preceding the survey who received antenatal care for the most recent live birth, percentage receiving specific services and
information on specific signs of pregnancy complications and where to go if there was a pregnancy complication, according to background characteristics, India, 2019-21
Percentage receiving selected services during antenatal care Percentage receiving information on specific signs of pregnancy complications
Where to go if
Blood Urine Blood Severe experienced
Background pressure sample sample Abdomen Vaginal Prolonged abdominal High blood pregnancy Number of
characteristic Weighed measured taken taken examined bleeding Convulsions labour pain pressure complications women

<20 96.9 96.1 93.8 94.5 63.9 57.6 56.7 63.7 65.5 63.9 78.4 16,517
20-34 97.1 96.3 93.7 94.3 67.7 61.1 60.6 66.0 67.8 67.7 80.7 141,221
35-49 96.0 94.9 91.3 91.3 67.3 61.3 61.3 64.4 66.1 67.3 79.9 6,498
Birth order
1 98.0 97.6 95.7 96.5 68.9 62.8 61.8 67.6 69.5 68.9 82.1 58,152
2-3 97.3 96.5 94.0 94.6 67.4 60.8 60.2 65.8 67.5 67.4 80.6 86,507
280
4-5 93.6 91.8 86.7 86.8 62.4 54.8 56.3 60.6 62.0 62.4 75.4 15,946
6 or more 90.3 87.5 80.9 80.7 59.3 53.4 54.0 57.7 59.2 59.3 72.2 3,630
Residence
Urban 98.4 98.3 96.8 97.3 69.4 63.5 62.1 67.8 69.5 69.4 82.2 47,234
Rural 96.5 95.4 92.3 93.0 66.4 59.6 59.5 64.9 66.7 66.4 79.7 117,001
Schooling
No schooling 93.4 91.1 86.1 86.5 62.9 55.9 56.5 61.3 63.0 62.9 74.4 29,987
<5 years complete 95.7 94.6 91.8 92.1 64.1 57.5 57.3 63.5 65.0 64.1 78.1 7,517
5-7 years complete 96.9 96.1 93.5 94.1 66.5 60.0 59.3 65.4 67.5 66.5 79.5 22,911
8-9 years complete 97.5 97.1 94.5 95.4 69.0 62.0 61.8 67.9 69.3 69.0 81.3 30,642
10-11 years complete 98.3 97.9 96.3 96.8 68.4 62.5 61.6 67.2 68.9 68.4 82.1 23,094
12 or more years
complete 98.7 98.3 96.7 97.3 69.3 62.9 61.8 66.9 68.8 69.3 83.5 50,084
Continued…
Table 8.8 Antenatal care services and information received—Continued
Among women age 15-49 with a live birth in the 5 years preceding the survey who received antenatal care for the most recent live birth, percentage receiving specific services and
information on specific signs of pregnancy complications and where to go if there was a pregnancy complication, according to background characteristics, India, 2019-21
Percentage receiving selected services during antenatal care Percentage receiving information on specific signs of pregnancy complications
Where to go if
Blood Urine Blood Severe experienced
Background pressure sample sample Abdomen Vaginal Prolonged abdominal High blood pregnancy Number of
characteristic Weighed measured taken taken examined bleeding Convulsions labour pain pressure complications women
Religion
Hindu 97.0 96.1 93.4 94.1 67.5 60.7 60.6 65.9 67.7 67.5 80.5 131,099
Muslim 96.7 96.4 93.7 94.0 65.5 59.5 58.1 63.7 65.6 65.5 79.1 25,750
Christian 99.0 98.5 96.7 96.7 64.0 61.9 56.7 63.8 65.6 64.0 82.1 3,446
Sikh 99.2 99.2 98.2 98.9 83.2 76.8 73.5 81.2 80.9 83.2 88.3 2,204
Buddhist/Neo-Buddhist 99.2 98.3 98.2 97.9 66.0 59.9 58.4 66.5 69.5 66.0 81.4 816
Jain 99.5 99.4 99.5 99.1 76.0 67.2 77.2 79.1 77.1 76.0 89.6 266
Other 97.2 95.7 88.7 90.3 63.9 57.7 54.4 62.0 64.4 63.9 77.2 655
281
Caste/tribe
Scheduled caste 96.3 95.0 92.0 92.6 66.4 59.6 59.9 65.6 67.4 66.4 80.1 36,963
Scheduled tribe 97.9 96.9 94.5 95.1 70.9 64.9 63.4 69.7 71.6 70.9 82.3 16,030
Other 98.1 97.7 95.6 96.2 68.3 62.4 60.8 66.7 68.6 68.3 80.2 39,156
Don't know 96.4 96.3 91.9 93.7 51.0 46.4 43.9 48.8 52.7 51.0 71.1 1,406
Wealth quintile
Lowest 93.7 91.5 86.7 87.1 63.0 55.8 56.8 62.0 63.8 63.0 76.7 35,053
Second 96.4 95.6 92.6 93.1 65.2 58.7 58.8 64.5 66.4 65.2 78.1 34,351
Middle 97.7 97.3 95.2 95.9 68.0 61.8 60.8 66.3 68.0 68.0 81.6 32,795
Fourth 98.6 98.3 96.8 97.4 68.8 62.7 61.3 67.1 68.8 68.8 82.5 32,521
Highest 99.2 99.2 97.8 98.6 72.3 65.8 64.3 69.6 71.2 72.3 84.0 29,514
Total 97.0 96.2 93.6 94.2 67.3 60.8 60.3 65.7 67.5 67.3 80.4 164,235
Table 8.9 Male involvement in antenatal care
Among men age 15-49 whose youngest living child was age 0-35 months, percentage for whom the mother of the child received antenatal care (ANC) and
the father was present or not present at the time of any ANC visit, percentage who were told by a health provider or worker at any time during the
pregnancy about specific signs of pregnancy complications, and percentage who were told what to do if the child's mother had any pregnancy
complication, according to background characteristics, India, 2019-21
Percentage for whom the Percentage

child's mother received ANC Percentage who were told by a health provider or worker
ever told what
and the father was: about specific signs of pregnancy complications to do if child's
Severe mother had
Present for Not present Vaginal Prolonged abdominal High blood any pregnancy Number
Background characteristic any ANC for any ANC Total bleeding Convulsions labour pain pressure complication of men
Father's age at birth

<20 79.0 17.0 96.0 48.1 38.9 53.4 64.6 44.5 60.0 92
20-34 77.0 18.4 95.4 51.8 53.8 61.2 64.6 57.3 63.7 10,053
35-49 78.6 15.7 94.3 49.5 52.8 59.4 64.1 57.3 65.2 2,371
282
Father's number of
children ever born
1 81.7 15.5 97.2 52.4 53.9 63.2 65.7 58.0 67.8 4,807
2-3 77.7 18.0 95.7 52.3 54.5 60.6 65.1 57.9 63.2 6,193
4 or more 62.1 25.3 87.4 44.3 48.3 53.8 58.2 51.8 54.9 1,516
Residence
Urban 81.4 15.5 96.9 53.6 55.6 64.0 68.4 59.3 66.1 3,655
Rural 75.7 18.9 94.5 50.4 52.7 59.5 62.9 56.3 63.0 8,861
Father's schooling
No schooling 60.6 26.7 87.3 40.2 43.7 50.5 55.1 46.8 49.8 1,529
<5 years complete 69.2 23.5 92.8 44.9 45.3 55.2 59.4 46.2 60.2 941
5-7 years complete 72.1 22.7 94.8 51.7 53.3 60.6 63.8 55.3 61.9 1,980
8-9 years complete 77.2 18.6 95.9 50.7 52.6 58.6 64.0 57.5 64.6 2,364
10-11 years complete 85.3 12.4 97.7 53.4 57.1 61.4 67.0 59.4 69.3 1,956
12 or more years
complete 84.9 12.8 97.6 56.8 58.5 67.6 69.0 63.9 68.5 3,746
Continued…
Table 8.9 Male involvement in antenatal care—Continued
Among men age 15-49 whose youngest living child was age 0-35 months, percentage for whom the mother of the child received antenatal care (ANC) and
the father was present or not present at the time of any ANC visit, percentage who were told by a health provider or worker at any time during the
pregnancy about specific signs of pregnancy complications, and percentage who were told what to do if the child's mother had any pregnancy
complication, according to background characteristics, India, 2019-21
Percentage for whom the Percentage

child's mother received ANC Percentage who were told by a health provider or worker
ever told what
and the father was: about specific signs of pregnancy complications
to do if child's
Severe mother had
Present for Not present Vaginal Prolonged abdominal High blood any pregnancy Number
Background characteristic any ANC for any ANC Total bleeding Convulsions labour pain pressure complication of men
Religion
Hindu 77.9 17.4 95.3 51.7 54.1 60.1 64.2 57.0 63.0 9,597
Muslim 74.7 20.2 94.9 51.0 51.5 61.3 65.4 55.3 65.5 2,345
Christian 76.2 18.7 94.9 49.7 54.4 62.7 56.8 58.0 68.4 296
Sikh 88.3 8.6 96.9 65.6 64.9 72.0 77.9 73.6 74.0 86
283
Buddhist/Neo-Buddhist 76.7 22.3 98.9 40.3 42.1 80.1 74.0 81.8 82.8 105
Jain 100.0 0.0 100.0 40.9 81.5 91.1 92.9 91.1 83.0 26
Other 79.9 14.6 94.5 28.6 31.7 75.3 75.7 75.4 68.9 60
Caste/tribe
Scheduled caste 73.1 20.0 93.1 49.6 53.9 60.2 63.0 56.6 61.2 2,718
Scheduled tribe 74.3 20.2 94.5 51.1 52.4 61.0 65.4 56.2 64.2 1,254
Other backward class 79.4 16.7 96.1 50.3 53.8 59.5 64.0 57.1 63.6 5,170
Other 79.2 16.8 95.9 54.6 53.3 63.9 66.6 58.4 66.7 3,285
Don't know 65.7 28.9 94.7 51.3 46.4 41.5 54.3 46.4 58.1 89
Wealth quintile
Lowest 62.5 25.6 88.1 43.8 46.2 54.2 58.1 48.9 57.3 2,695
Second 74.3 21.0 95.2 50.1 52.0 59.0 63.5 54.9 60.5 2,609
Middle 80.1 17.5 97.5 54.6 55.4 62.9 65.4 58.8 66.1 2,563
Fourth 85.1 13.4 98.5 55.2 56.5 63.4 67.5 60.7 67.4 2,536
Highest 87.5 10.1 97.6 54.0 58.8 65.8 69.2 64.3 69.9 2,113
Total 77.3 17.9 95.2 51.4 53.5 60.8 64.5 57.2 63.9 12,516
Table 8.10 Reasons why child's mother did not receive antenatal care: Men
Percent distribution of men age 15-49 whose youngest living child was age 0-35 months and the
child's mother did not receive antenatal care when pregnant with the child by the main reason for
not receiving antenatal care, according to residence, India, 2019-21
Reason why the child's mother did not

receive antenatal care Urban Rural Total
Man did not think it was necessary/did not allow 20.1 14.2 15.3
Family did not think it was necessary/did not allow 15.3 12.1 12.7
Child's mother did not want check-up 3.0 4.1 3.9
Has had children before 7.9 1.7 2.9
Costs too much 19.4 29.6 27.7
Too far/no transportation 0.3 2.7 2.2
No female health worker available 1.1 2.7 2.4
Other 3.4 4.4 4.2
Total 100.0 100.0 100.0

Number of men 112 485 597
284
Table 8.11 Antenatal care indicators by state/union territory
Among women age 15-49 with a live birth in the 5 years preceding the survey, percentage who received different types of antenatal care (ANC) during
the pregnancy for their most recent live birth by state/union territory, India, 2019-21
who received who Percentage
Percentage information received whose last
Percentage with an from a health two or birth was Percentage Percentage
Percentage who ANC visit in provider or more TT protected Percentage who took who took Percentage
who had at had four the first worker about injections against who were IFA for IFA for who took an
least one or more trimester of pregnancy during the neonatal given or at least at least intestinal
State/union territory ANC visit ANC visits pregnancy complications1 pregnancy tetanus2 bought IFA 100 days 180 days parasite drug
India 92.6 58.5 70.0 83.2 83.1 92.0 87.6 44.1 26.0 31.1
North
Chandigarh 99.4 79.4 82.3 94.7 88.9 93.1 94.4 73.9 64.5 26.9
Delhi 91.4 77.8 76.4 83.6 86.8 93.5 93.7 69.1 49.0 30.0
Haryana 96.8 60.9 85.2 90.1 79.2 90.7 91.8 51.2 31.9 33.0
Jammu & Kashmir 94.7 81.1 86.6 88.1 84.5 91.9 72.5 29.8 15.9 8.8
Ladakh 90.6 78.9 85.7 90.7 87.8 94.2 76.2 14.3 7.3 9.5
Punjab 91.3 59.7 68.5 89.3 83.5 89.7 88.7 55.4 40.5 25.3
Rajasthan 94.2 55.4 76.3 80.6 82.1 93.4 82.2 33.9 14.4 17.3
Uttarakhand 91.8 61.8 68.8 81.9 88.3 93.6 89.1 46.5 25.0 19.3
Central
Chhattisgarh 93.4 60.4 65.7 92.8 83.7 91.9 93.3 44.9 26.3 48.6
Madhya Pradesh 94.7 57.5 75.4 86.0 86.9 95.0 92.7 51.4 31.8 34.2
Uttar Pradesh 94.4 42.4 62.5 81.5 81.2 92.1 84.3 22.3 9.7 32.0
East
Bihar 81.6 25.2 52.9 62.0 76.9 89.5 73.9 18.0 9.2 19.1
Jharkhand 91.9 38.7 68.0 80.3 82.5 90.8 83.6 28.2 14.9 30.0
Odisha 98.3 78.1 76.9 93.3 90.8 95.2 97.2 60.8 34.4 60.9
West Bengal 91.1 76.7 72.6 86.5 91.3 94.6 96.1 62.5 30.8 25.3
Northeast
Assam 94.3 50.7 63.8 87.3 88.9 94.5 92.4 47.5 18.5 14.5
Manipur 92.6 79.4 79.9 46.4 84.7 88.9 92.5 52.3 30.3 9.5
Meghalaya 82.4 52.2 53.9 75.6 63.9 82.1 84.7 43.1 20.6 8.3
Mizoram 79.4 58.1 72.7 77.3 72.6 80.0 88.1 61.9 10.5 14.7
Nagaland 71.2 20.7 49.5 52.9 75.6 81.3 67.8 10.2 4.1 7.3
Sikkim 80.1 58.4 63.7 80.7 86.3 92.0 94.4 54.7 31.5 29.6
Tripura 82.7 55.2 63.2 71.4 92.8 94.9 90.6 26.6 8.9 14.2
West
and Daman & Diu 97.6 86.2 77.7 94.7 76.6 84.6 89.6 59.8 36.2 27.0
Goa 98.8 93.0 70.3 96.2 86.5 96.5 99.1 87.5 65.0 35.0
Gujarat 94.1 77.2 79.3 88.8 81.0 89.1 89.0 60.0 43.2 41.6
Maharashtra 91.6 71.4 70.9 84.6 79.5 90.1 85.7 48.2 30.9 22.4
Continued…
285
Table 8.11 Antenatal care indicators by state/union territory—Continued
Among women age 15-49 with a live birth in the 5 years preceding the survey, percentage who received different types of antenatal care (ANC) during
the pregnancy for their most recent live birth by state/union territory, India, 2019-21
who received who Percentage
Percentage information received whose last
Percentage with an from a health two or birth was Percentage Percentage
Percentage who ANC visit in provider or more TT protected Percentage who took who took Percentage
who had at had four the first worker about injections against who were IFA for IFA for who took an
least one or more trimester of pregnancy during the neonatal given or at least at least intestinal
State/union territory ANC visit ANC visits pregnancy complications1 pregnancy tetanus2 bought IFA 100 days 180 days parasite drug
South
Andaman & Nicobar
Islands 91.9 83.6 77.1 92.0 85.9 90.8 96.0 80.9 52.1 60.5
Andhra Pradesh 99.2 67.5 81.7 91.0 85.8 92.8 94.1 70.3 41.1 27.2
Karnataka 98.3 70.9 71.0 90.7 83.5 93.6 88.7 44.7 26.7 44.6
Kerala 88.9 81.3 93.6 92.1 93.3 95.2 98.0 80.0 67.0 19.6
Lakshadweep 97.0 92.1 99.6 97.4 98.9 99.4 97.4 80.1 61.7 17.5
Puducherry 94.8 87.4 82.4 95.0 84.1 91.9 99.0 84.1 64.9 68.3
Tamil Nadu 95.8 90.6 77.4 95.4 82.4 89.7 98.7 82.5 63.1 76.7
Telangana 99.1 70.5 88.5 85.7 83.9 89.6 90.6 57.9 34.4 22.6
TT = Tetanus toxoid; IFA = Iron and folic acid

1
Vaginal bleeding, convulsions, prolonged labour, severe abdominal pain, high blood pressure, or where to go if she had pregnancy complications
2
Includes mothers with two injections during the pregnancy for her last birth, or two or more injections (the last within 3 years of the last live birth), or three or
more injections (the last within 5 years of the last birth), or four or more injections (the last within 10 years of the last live birth), or five or more injections at any
time prior to the last birth
286
Table 8.12 Pregnancies for which an ultrasound test was done
Percentage of all pregnancies to women age 15-49 in the 5 years preceding the survey for which an ultrasound test was done and percent
distribution of pregnancies with an ultrasound test by pregnancy outcome, according to background characteristics, India, 2019-21
Percentage of Number of
Pregnancy outcome1
pregnancies pregnancies
with an Number of Still with an
Background characteristic ultrasound test pregnancies Son Daughter Termination pregnant Total ultrasound test
Mother's age at pregnancy

<20 77.0 46,942 45.1 41.3 5.1 8.5 100.0 36,167
20-34 78.7 227,889 44.7 40.9 6.6 7.8 100.0 179,448
35-49 71.0 8,537 44.2 41.3 7.7 6.8 100.0 6,064
Residence
Urban 87.1 76,905 43.7 40.2 7.9 8.1 100.0 66,947
Rural 74.9 206,463 45.2 41.3 5.7 7.8 100.0 154,732
Antenatal care visits2

None 53.9 12,957 46.5 39.6 5.9 8.0 100.0 6,981
1-3 74.1 73,638 46.8 39.8 5.8 7.6 100.0 54,601
4 or more 85.4 129,106 45.8 39.1 7.1 8.0 100.0 110,192
Don't know/missing 82.3 2,846 43.0 39.8 8.0 9.2 100.0 2,341
Mother's schooling
No schooling 60.4 57,970 46.7 42.9 4.7 5.7 100.0 35,009
<5 years complete 69.5 13,271 47.5 41.2 5.2 6.1 100.0 9,222
5-7 years complete 76.5 40,398 45.4 42.3 5.9 6.4 100.0 30,899
8-9 years complete 78.6 53,261 45.0 41.3 6.0 7.7 100.0 41,861
10-11 years complete 86.2 38,672 44.2 39.9 6.9 9.0 100.0 33,319
12 or more years complete 89.4 79,795 43.3 39.7 7.5 9.5 100.0 71,367
Religion
Hindu 77.9 225,666 44.9 40.8 6.5 7.8 100.0 175,820
Muslim 79.2 45,488 44.4 41.8 5.4 8.4 100.0 36,024
Christian 76.1 5,839 42.6 40.9 7.1 9.4 100.0 4,441
Sikh 91.5 3,495 44.7 40.7 8.1 6.5 100.0 3,197
Buddhist/Neo-Buddhist 88.0 1,370 44.3 39.4 8.7 7.6 100.0 1,206
Jain 98.2 361 47.3 41.7 2.4 8.6 100.0 354
Other 55.4 1,149 46.4 40.3 6.1 7.2 100.0 637
Caste/tribe
Scheduled caste 75.4 66,126 45.1 41.0 6.5 7.4 100.0 49,874
Scheduled tribe 67.5 27,583 44.9 42.4 4.9 7.9 100.0 18,629
Other 83.7 63,844 44.3 40.6 7.1 8.1 100.0 53,429
Don't know 76.9 2,608 46.1 41.0 6.2 6.8 100.0 2,005
Wealth quintile
Lowest 57.3 67,350 46.7 42.6 4.0 6.7 100.0 38,584
Second 76.0 60,824 45.7 42.0 5.2 7.1 100.0 46,254
Middle 84.6 55,910 45.0 40.7 6.5 7.8 100.0 47,299
Fourth 88.8 53,359 43.4 40.5 7.2 8.8 100.0 47,367
Highest 91.8 45,924 43.1 39.1 8.8 9.0 100.0 42,175
Continued…
287
Table 8.12 Pregnancies for which an ultrasound test was done—Continued
Percentage of all pregnancies to women age 15-49 in the 5 years preceding the survey for which an ultrasound test was done and percent
distribution of pregnancies with an ultrasound test by pregnancy outcome, according to background characteristics, India, 2019-21
Percentage of Number of
Pregnancy outcome1
pregnancies pregnancies
with an Number of Still with an
Background characteristic ultrasound test pregnancies Son Daughter Termination pregnant Total ultrasound test
Mother's number of living

children at time of pregnancy
No children 86.0 115,131 43.9 41.0 6.4 8.7 100.0 99,035
1 child 80.2 96,305 44.8 41.8 5.7 7.7 100.0 77,207
0 sons 81.1 48,199 46.0 40.8 5.6 7.6 100.0 39,094
1 son 79.2 48,106 43.5 42.8 5.8 7.9 100.0 38,114
2 children 67.9 43,217 46.2 39.1 7.7 7.0 100.0 29,351
0 sons 74.9 15,720 49.4 37.4 5.9 7.3 100.0 11,777
1 son 64.6 19,333 44.4 40.2 8.7 6.7 100.0 12,494
2 sons 62.2 8,165 43.3 40.4 9.4 6.9 100.0 5,080
3 children 59.3 17,100 47.6 39.6 6.8 6.0 100.0 10,148
0 sons 68.7 4,802 50.6 37.4 5.7 6.4 100.0 3,298
1 son 58.2 7,258 48.0 39.9 5.9 6.2 100.0 4,222
2-3 sons 52.2 5,039 43.3 41.7 9.9 5.1 100.0 2,628
4 or more children 51.1 11,614 46.4 40.6 7.3 5.7 100.0 5,937
0 sons 63.8 2,311 49.9 38.6 5.4 6.0 100.0 1,474
1 son 51.3 3,756 48.7 39.7 5.9 5.7 100.0 1,926
2 or more sons 45.8 5,547 42.7 42.5 9.4 5.5 100.0 2,538
Total 78.2 283,367 44.8 41.0 6.4 7.9 100.0 221,679

1
For multiple births, sex of pregnancy outcome is the sex of the first listed birth
2
For the most recent pregnancy in the 5 years preceding the survey
288
Table 8.13 Place of delivery
Percent distribution of live births to women age 15-49 in the 5 years preceding the survey by place of delivery, and percentage delivered in
a health facility, according to background characteristics, India, 2019-21
Health facility Home Percentage

Background Public NGO/ Private Own Parent's Other delivered in a Number
characteristic sector trust sector home home home Other1 Total health facility of births

<20 68.3 0.3 20.3 8.8 2.0 0.1 0.3 100.0 88.9 28,981
20-34 61.3 0.5 27.1 9.5 1.4 0.1 0.2 100.0 88.9 193,795
35-49 53.3 0.4 27.5 17.6 0.9 0.1 0.2 100.0 81.2 8,095
Birth order
1 61.2 0.5 32.4 4.6 1.0 0.1 0.2 100.0 94.1 91,210
2-3 63.1 0.4 24.4 10.1 1.6 0.1 0.2 100.0 88.0 112,337
4-5 61.1 0.2 13.7 22.4 2.3 0.1 0.2 100.0 75.0 21,931
6 or more 53.1 0.2 10.2 34.5 1.6 0.3 0.1 100.0 63.5 5,392
Residence
Urban 52.6 0.7 40.5 5.1 0.8 0.1 0.2 100.0 93.8 61,528
Rural 65.3 0.3 21.1 11.3 1.6 0.1 0.2 100.0 86.7 169,342

None 53.1 0.4 16.8 25.3 3.6 0.3 0.5 100.0 70.3 10,712
1-3 63.6 0.4 22.1 12.1 1.5 0.1 0.2 100.0 86.1 59,656
4 or more 61.8 0.6 32.0 4.6 0.8 0.1 0.2 100.0 94.4 102,334
Don't know/missing 58.3 0.1 32.9 6.3 1.6 0.2 0.6 100.0 91.3 2,245
Mother's schooling
No schooling 62.6 0.2 12.0 22.2 2.7 0.2 0.2 100.0 74.8 49,597
<5 years complete 68.0 0.2 14.6 14.2 2.6 0.1 0.3 100.0 82.7 11,099
5-7 years complete 68.7 0.4 18.3 10.6 1.6 0.1 0.2 100.0 87.4 33,379
8-9 years complete 70.0 0.3 20.3 7.9 1.2 0.1 0.2 100.0 90.6 42,815
10-11 years complete 63.9 0.6 30.0 4.2 1.1 0.1 0.2 100.0 94.5 30,753
12 or more years
complete 50.3 0.7 45.9 2.4 0.5 0.1 0.2 100.0 96.9 63,227
Religion
Hindu 63.3 0.4 25.8 8.8 1.3 0.1 0.2 100.0 89.5 183,338
Muslim 57.1 0.4 26.7 13.5 1.9 0.1 0.3 100.0 84.3 37,495
Christian 53.3 0.5 29.6 14.8 1.5 0.0 0.3 100.0 83.3 4,784
Sikh 55.3 0.2 40.6 2.6 1.0 0.2 0.1 100.0 96.1 2,890
Buddhist/Neo-Buddhist 65.4 0.5 27.9 4.3 1.7 0.0 0.2 100.0 93.8 1,098
Jain 27.5 0.0 72.2 0.2 0.0 0.0 0.2 100.0 99.7 329
Other 63.0 0.2 10.3 23.6 2.4 0.3 0.3 100.0 73.4 937
Caste/tribe
Scheduled caste 68.1 0.3 18.9 10.8 1.6 0.1 0.2 100.0 87.3 53,756
Scheduled tribe 69.7 0.4 12.1 15.4 1.9 0.1 0.3 100.0 82.3 23,141
Other 55.9 0.6 34.6 7.2 1.2 0.1 0.3 100.0 91.2 51,406
Don't know 66.8 0.9 18.1 12.3 1.5 0.2 0.3 100.0 85.7 2,159
Continued…
289
Table 8.13 Place of delivery—Continued
Percent distribution of live births to women age 15-49 in the 5 years preceding the survey by place of delivery, and percentage delivered in
a health facility, according to background characteristics, India, 2019-21
Health facility Home Percentage

Background Public NGO/ Private Own Parent's Other delivered in a Number
characteristic sector trust sector home home home Other1 Total health facility of births
Wealth quintile
Lowest 67.7 0.1 8.4 20.8 2.7 0.2 0.2 100.0 76.2 56,771
Second 70.7 0.3 16.2 10.7 1.8 0.1 0.2 100.0 87.2 50,170
Middle 66.8 0.5 25.0 6.3 1.2 0.1 0.2 100.0 92.3 45,101
Fourth 57.3 0.6 37.5 3.7 0.6 0.1 0.2 100.0 95.4 42,505
Highest 40.1 0.8 56.5 2.0 0.3 0.1 0.2 100.0 97.4 36,323
Total 61.9 0.4 26.2 9.7 1.4 0.1 0.2 100.0 88.6 230,870

1
Includes missing
2
For the most recent birth in the five years preceding the survey
290
Table 8.14 Reasons for not delivering in a health facility
Percentage of women age 15-49 who had a live birth in the 5 years preceding the survey
by reasons for not delivering the most recent live birth in a health facility, according to
residence, India, 2019-21
Reason for not delivering

in a health facility Urban Rural Total
Costs too much 15.2 15.1 15.1

Facility not open 9.1 9.8 9.7
Don't trust facility/poor quality service 6.8 4.7 5.0
No female provider at facility 4.3 3.9 4.0
Husband/family did not allow 18.1 19.5 19.3
Not necessary 30.5 27.6 28.1
Not customary 3.6 3.5 3.6
Other 19.1 16.4 16.8
Number of women 2,508 14,507 17,016
Note: Percentages may not add to 100.0 because multiple responses were permitted.
291
Table 8.15 Institutional delivery of youngest child: Men
Percent distribution of men age 15-49 whose youngest living child was 0-35 months by whether
the child was delivered in a health facility, and percent distribution of men 15-49 whose youngest
living child age 0-35 months was not delivered in a health facility by the main reason for not
delivering in a health facility, according to residence, India, 2019-21
Place of delivery/reason for not delivering

in a health facility Urban Rural Total
Youngest child delivered at a health facility

Yes 95.5 90.0 91.6
No 4.5 10.0 8.4
Total 100.0 100.0 100.0
Number of men 3,655 8,861 12,516
Main reason for not delivering in health facility

Cost too much 20.4 20.3 20.3
Facility not open 14.4 6.7 7.9
Don't trust facility/poor quality service 5.7 3.8 4.1
No female provider at facility 1.0 5.9 5.2
Not the first child 16.0 4.3 6.2
Child's mother did not think it was necessary 9.7 11.8 11.5
He did not think it was necessary/did not allow 1.9 3.0 2.8
Family did not think it necessary/did not allow 12.3 12.7 12.6
Other 12.3 10.4 10.7
Don't know 2.1 4.2 3.8
Total 100.0 100.0 100.0
Number of men 166 887 1,053
292
Table 8.16 Delivery and other related information given to men: Men's reports
Among men age 15-49 whose youngest living child was age 0-35 months, percentage who were given specific types of pregnancy, delivery,
and family planning information by a health provider or health worker during the mother's pregnancy, and among men whose youngest
living child age 0-35 months was not delivered in a health facility, percentage who were given specific types of information needed to make
home deliveries safer, according to background characteristics, India, 2019-21
Percentage of fathers who said that at some Percentage of fathers who said that
time during the pregnancy, a health provider or during the pregnancy, someone
worker spoke to them about: explained to them the importance of1:
The importance
The importance of proper Family Breastfeeding Keeping the
of delivering nutrition for the planning or the baby baby warm
Background the baby in a mother during delaying his Number immediately immediately Number
characteristic health facility pregnancy next child of men Cord care after birth after birth of men
Father's age at birth

<20 71.5 76.5 51.2 92 * * * 9
20-34 72.5 80.4 63.7 10,053 51.1 59.5 56.1 826
35-49 72.8 80.6 68.6 2,371 55.0 63.2 64.4 218
Father's number of
children ever born
1 74.4 82.2 66.6 4,807 55.0 67.0 62.8 191
2-3 73.0 81.0 65.8 6,193 54.3 61.2 57.4 560
4 or more 64.4 72.0 52.9 1,516 45.0 54.7 54.7 301
Residence
Urban 72.0 81.2 67.4 3,655 57.2 64.6 46.4 166
Rural 72.7 80.0 63.3 8,861 50.7 59.7 59.7 887
Father's schooling
No schooling 58.3 66.4 46.7 1,529 47.2 51.4 53.6 318
<5 years complete 68.9 78.4 59.6 941 49.7 56.6 59.5 131
5-7 years complete 70.0 77.4 59.2 1,980 54.8 62.9 55.8 219
8-9 years complete 72.0 80.9 63.9 2,364 54.9 64.1 58.8 124
10-11 years complete 77.5 84.5 70.4 1,956 52.6 61.3 60.1 78
12 or more years
complete 78.3 85.7 73.1 3,746 55.2 73.3 63.8 182
Religion
Hindu 72.5 80.8 65.1 9,597 50.5 59.7 55.4 736
Muslim 71.6 78.5 61.7 2,345 57.8 61.9 61.7 264
Christian 75.2 79.5 62.8 296 35.5 61.6 65.3 42
Sikh 74.5 82.9 67.6 86 nc nc nc 0
Buddhist/Neo-Buddhist 94.1 94.9 88.6 105 * * * 4
Other 47.4 50.7 30.6 60 (45.2) (72.1) (80.1) 7
Caste/tribe
Scheduled caste 69.0 78.0 62.1 2,718 47.5 59.5 50.2 267
Scheduled tribe 70.2 78.2 62.0 1,254 49.1 67.5 62.5 193
Other backward class 73.1 81.1 65.6 5,170 52.1 53.7 56.2 386
Other 75.7 82.3 65.7 3,285 59.5 68.3 65.9 200
Don't know (59.2) (71.5) (69.5) 89 * * * 7
Continued…
293
Table 8.16 Delivery and other related information given to men: Men's reports—Continued
Among men age 15-49 whose youngest living child was age 0-35 months, percentage who were given specific types of pregnancy, delivery,
and family planning information by a health provider or health worker during the mother's pregnancy, and among men whose youngest
living child age 0-35 months was not delivered in a health facility, percentage who were given specific types of information needed to make
home deliveries safer, according to background characteristics, India, 2019-21
time during the pregnancy, a health provider or during the pregnancy, someone
worker spoke to them about: explained to them the importance of1:
The importance
Background the baby in a mother during delaying his Number immediately immediately Number
characteristic health facility pregnancy next child of men Cord care after birth after birth of men
Wealth quintile
Lowest 63.5 70.1 51.4 2,695 45.0 54.3 55.0 543
Second 72.4 81.2 61.7 2,609 62.1 62.2 59.5 206
Middle 74.8 83.8 67.5 2,563 50.0 68.9 70.5 132
Fourth 78.9 84.7 71.4 2,536 61.6 80.4 54.8 122
Highest 73.8 83.1 72.9 2,113 (63.8) (48.9) (51.9) 51
Total 72.5 80.4 64.5 12,516 51.8 60.4 57.6 1,053
Note: Figures in parentheses are based on 25-49 unweighted cases. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has
been suppressed. Total includes Jain men, who are not shown separately.
nc = No cases
1
Men whose youngest living child age 0-35 months was not delivered in a health facility
294
Table 8.17 Delivery and other related information given to men by state/union territory: Men's reports
Among men age 15-49 whose youngest living child was age 0-35 months, percentage who were given specific types
of pregnancy, delivery, and family planning information by a health provider or health worker during the mother's
pregnancy, and among men whose youngest living child age 0-35 months was not delivered in a health facility,
percentage who were given specific types of information needed to make home deliveries safer, by state/union
time during the pregnancy, a health provider during the pregnancy, someone
or worker spoke to them about: explained to them the importance of1:
The importance
the baby in a mother during delaying his immediately immediately
State/union territory health facility pregnancy next child Cord care after birth after birth
India 72.5 80.4 64.5 51.8 60.4 57.6
North
Chandigarh * * * * * *
Delhi 66.3 76.8 58.7 * * *
Haryana 66.8 77.3 70.4 (55.7) (52.9) (62.1)
Himachal Pradesh 68.2 78.1 70.6 * * *
Jammu & Kashmir 86.2 85.9 70.8 * * *
Ladakh (90.8) (93.7) (80.0) * * *
Punjab 78.4 84.7 74.8 * * *
Rajasthan 77.9 87.2 70.5 (65.9) (67.7) (69.1)
Uttarakhand 57.3 75.0 55.9 * * *
Central
Chhattisgarh 80.3 89.0 73.7 56.5 77.9 79.8
Madhya Pradesh 68.9 78.3 60.8 51.1 55.3 58.1
Uttar Pradesh 64.9 75.6 60.1 52.2 63.7 61.5
East
Bihar 53.3 65.4 44.5 46.7 54.3 50.5
Jharkhand 58.5 72.5 56.3 51.4 59.4 60.5
Odisha 90.2 94.3 84.2 67.8 79.3 83.5
West Bengal 81.5 87.1 60.0 (66.4) (81.9) (73.7)
Northeast
Assam 82.4 86.8 83.5 48.6 63.7 53.1
Manipur 77.0 80.1 50.4 46.9 45.9 57.4
Meghalaya 76.8 78.7 63.7 31.4 69.6 68.7
Mizoram 70.5 74.6 62.4 * * *
Nagaland 49.6 48.5 23.4 18.3 38.9 48.4
Sikkim * * * * * *
Tripura 92.8 92.4 74.5 * * *
Continued…
295
Table 8.17 Delivery and other related information given to men by state/union territory: Men's reports—Continued
Among men age 15-49 whose youngest living child was age 0-35 months, percentage who were given specific types
of pregnancy, delivery, and family planning information by a health provider or health worker during the mother's
pregnancy, and among men whose youngest living child age 0-35 months was not delivered in a health facility,
percentage who were given specific types of information needed to make home deliveries safer, by state/union
time during the pregnancy, a health provider during the pregnancy, someone
or worker spoke to them about: explained to them the importance of1:
The importance
the baby in a mother during delaying his immediately immediately
State/union territory health facility pregnancy next child Cord care after birth after birth
West
and Daman & Diu 84.8 89.7 82.6 * * *
Goa * * * * * *
Gujarat 65.2 83.5 74.3 (44.0) (56.1) (53.5)
Maharashtra 79.9 80.6 66.9 * * *
South
Andaman & Nicobar
Islands (44.0) (78.4) (48.6) * * *
Andhra Pradesh 70.5 77.0 64.3 * * *
Karnataka 84.8 88.8 81.5 * * *
Kerala 79.2 83.5 63.7 * * *
Lakshadweep * * * * * *
Puducherry (79.2) (90.0) (90.9) * * *
Tamil Nadu 87.9 94.7 87.5 * * *
Telangana 71.6 77.9 53.9 * * *
Note: Figures in parentheses are based on 25-49 unweighted cases. An asterisk indicates that a figure is based on fewer than 25
unweighted cases and has been suppressed.
1
Men whose youngest living child age 0-35 months was not delivered in a health facility
296
Table 8.18 Adherence to delivery protocol for home delivery
Percentage of women age 15-49 who had a live birth delivered at home in the 5 years
preceding the survey by whether the recommended protocol was followed at the
time of delivery for the most recent live birth delivered at home, according to
Protocol at delivery Urban Rural Total
Disposable delivery kit (DDK) used 56.0 50.5 51.3

Clean blade used to cut the cord 92.2 92.7 92.6
Either of the above 93.8 93.6 93.6
Baby was immediately wiped dry and then
wrapped without being bathed 88.5 88.7 88.6
Number of women 2,508 14,507 17,016
297
Table 8.19 Assistance during delivery
Percent distribution of live births to women age 15-49 in the 5 years preceding the survey by person providing assistance during delivery, percentage delivered by caesarean section (C-
section), percentage delivered by C-section that was planned before the onset of labour pains, and percentage delivered by C-section that was decided after the onset of labour pains,
Timing of decision to
Person providing assistance during delivery Percentage Percentage conduct a C-section
ANM/ Percentage with skin-to- delivered Before After
nurse/ Other delivered skin contact by onset of onset of
Background midwife/ health Dai Friends/ by a skilled immediately caesarean labour labour Number
characteristic Doctor LHV personnel (TBA) relatives Other No one Total provider1 after birth section pains pains of births

<20 60.7 28.5 0.5 5.5 3.5 0.9 0.4 100.0 89.7 76.1 16.9 8.7 8.1 28,981
20-34 62.1 27.1 0.4 5.8 3.6 0.7 0.3 100.0 89.6 76.0 22.1 12.8 9.2 193,795
35-49 58.7 24.9 0.6 9.0 5.6 0.6 0.7 100.0 84.1 74.0 24.0 15.6 8.4 8,095
Birth order
298
1 68.9 24.5 0.4 3.0 2.6 0.5 0.2 100.0 93.7 74.6 28.1 15.0 13.0 91,210
2-3 61.1 27.5 0.4 6.1 3.8 0.7 0.3 100.0 89.0 77.1 20.0 12.4 7.5 112,337
4-5 43.1 35.1 0.8 13.2 6.2 1.0 0.6 100.0 79.0 76.2 5.9 3.3 2.6 21,931
6 or more 33.2 34.2 0.9 19.5 9.3 1.5 1.5 100.0 68.3 74.5 4.0 2.2 1.8 5,392
Residence
Urban 76.4 17.4 0.2 3.1 2.3 0.4 0.2 100.0 94.0 74.5 32.3 19.2 12.9 61,528
Rural 56.5 30.7 0.5 6.9 4.2 0.8 0.4 100.0 87.8 76.5 17.6 9.9 7.6 169,342
Mother's schooling
No schooling 43.1 34.6 0.8 13.4 6.2 1.2 0.7 100.0 78.4 76.6 7.8 4.1 3.6 49,597
<5 years complete 55.1 28.8 0.6 8.3 5.5 1.2 0.5 100.0 84.5 75.5 13.0 6.8 6.1 11,099
5-7 years complete 58.6 29.5 0.5 6.6 3.8 0.7 0.3 100.0 88.6 76.2 16.0 9.0 6.9 33,379
8-9 years complete 60.4 30.5 0.5 4.7 3.2 0.6 0.3 100.0 91.3 76.4 19.2 11.0 8.1 42,815
10-11 years complete 71.2 22.7 0.3 2.6 2.6 0.4 0.2 100.0 94.2 76.7 27.3 15.8 11.3 30,753
12 or more years
complete 75.7 19.8 0.2 1.5 2.2 0.4 0.1 100.0 95.8 74.8 35.4 20.8 14.5 63,227
Continued…
Table 8.19 Assistance during delivery—Continued
Religion
Hindu 61.3 28.2 0.4 5.5 3.6 0.7 0.3 100.0 90.0 76.3 21.4 12.2 9.1 183,338
Muslim 63.0 23.3 0.5 8.2 3.9 0.7 0.4 100.0 86.8 75.2 19.6 11.5 8.0 37,495
Christian 69.0 15.5 0.9 5.2 7.7 1.0 0.6 100.0 85.4 69.5 28.2 17.5 10.6 4,784
Sikh 63.8 32.7 0.3 1.6 1.1 0.2 0.2 100.0 96.9 75.8 36.9 21.3 15.3 2,890
Buddhist/Neo-Buddhist 80.5 13.7 0.4 2.7 2.3 0.3 0.0 100.0 94.6 71.6 25.3 13.4 11.8 1,098
299
Jain 89.7 8.7 0.0 0.0 1.1 0.4 0.0 100.0 98.5 66.8 49.1 33.6 15.5 329
Other 40.1 36.9 1.0 12.9 7.0 1.5 0.6 100.0 78.0 76.4 10.9 6.0 4.7 937
Caste/tribe
Scheduled caste 57.5 30.6 0.5 6.9 3.5 0.7 0.4 100.0 88.5 77.2 18.6 10.4 8.1 53,756
Scheduled tribe 53.4 30.4 0.7 8.0 6.0 1.1 0.5 100.0 84.5 77.2 11.2 6.0 5.1 23,141
Other backward class 61.2 28.3 0.5 5.5 3.6 0.7 0.3 100.0 89.9 76.8 22.1 12.6 9.4 100,408
Other 71.4 20.0 0.3 4.5 3.0 0.4 0.3 100.0 91.8 73.0 28.1 16.6 11.3 51,406
Don't know 61.1 25.3 0.4 6.1 4.5 1.8 0.7 100.0 86.8 67.0 20.0 12.4 7.5 2,159
Wealth quintile
Lowest 41.3 37.2 0.8 12.1 6.7 1.3 0.6 100.0 79.3 77.3 7.3 3.6 3.7 56,771
Second 54.9 32.7 0.5 7.0 3.8 0.7 0.4 100.0 88.2 75.7 15.0 8.1 6.8 50,170
Middle 67.0 25.0 0.3 3.9 2.9 0.6 0.3 100.0 92.4 77.1 23.9 13.6 10.2 45,101
Fourth 74.5 20.2 0.3 2.2 2.3 0.3 0.2 100.0 95.0 76.0 30.4 17.9 12.3 42,505
Highest 82.0 14.7 0.1 1.3 1.6 0.2 0.1 100.0 96.8 72.9 39.1 23.7 15.2 36,323
Continued…
Table 8.19 Assistance during delivery—Continued

None 43.6 27.3 0.8 13.9 10.7 2.4 1.3 100.0 71.7 69.5 13.2 7.3 5.7 10,712
1-3 51.3 35.3 0.5 7.5 4.1 0.9 0.4 100.0 87.1 75.0 16.8 9.4 7.2 59,656
4 or more 73.7 20.6 0.3 2.8 2.2 0.3 0.1 100.0 94.6 76.9 29.2 17.0 12.1 102,334
Don't know/missing 73.3 18.5 0.6 2.4 3.4 0.8 1.0 100.0 92.4 69.3 29.1 16.0 12.4 2,245
300
Place of delivery
Public sector health
facility 61.4 35.4 0.3 0.5 1.9 0.4 0.1 100.0 97.1 80.3 14.3 8.2 6.0 142,943
NGO or trust
hospital/clinic 81.7 15.6 0.1 0.2 1.8 0.3 0.2 100.0 97.4 70.9 41.1 23.2 17.6 1,002
Private sector health
facility 83.0 14.0 0.2 0.2 2.0 0.4 0.2 100.0 97.2 69.1 47.5 27.3 20.0 60,593
Own home 12.4 13.1 1.9 50.0 17.8 2.9 1.9 100.0 27.5 69.1 0.0 0.0 0.0 22,320
Parent's home 21.5 13.6 2.6 43.3 15.0 3.1 1.0 100.0 37.6 66.0 0.0 0.0 0.0 3,297
Other home 15.3 21.5 4.9 37.6 15.3 0.6 4.7 100.0 41.8 67.0 0.0 0.0 0.0 231
Other3 48.0 17.1 1.5 9.4 13.7 7.7 2.6 100.0 66.7 62.6 0.0 0.0 0.0 484
Total 61.8 27.2 0.5 5.9 3.7 0.7 0.3 100.0 89.4 76.0 21.5 12.3 9.0 230,870
Note: If the respondent mentioned more than one person attending during delivery, only the most qualified person is considered in this tabulation.
ANM = Auxiliary nurse midwife; LHV = Lady health visitor; TBA = Traditional birth attendant; NGO = Nongovernmental organization
1
Skilled provider includes doctor, auxiliary nurse midwife, nurse, midwife, lady health visitor, and other health personnel
2
Includes only the most recent birth in the 5 years preceding the survey
3
Includes missing
Table 8.20 Delivery costs
The average out-of-pocket cost paid for delivery for the most recent live birth among women age
15-49 who had a live birth in the 5 years preceding the survey that was delivered in a health
facility, according to background characteristics, India, 2019-21
Average cost (Rs.)1 Number of

Public Private Any births in a
Background characteristic health facility health facility health facility health facility

<20 3,439 21,633 7,828 16,071
20-34 3,219 24,695 10,186 135,488
35-49 3,249 29,501 12,434 5,993
Birth order
1 3,841 27,338 12,726 58,018
2-3 3,084 23,269 9,148 82,838
4 or more 2,359 17,287 5,191 16,696
Residence
Urban 3,711 26,862 14,211 46,727
Rural 3,099 23,040 8,272 110,826
Schooling
No schooling 2,429 17,094 4,920 26,291
<5 years complete 2,846 19,256 5,888 6,940
5-7 years complete 2,912 19,473 6,568 21,673
8-9 years complete 3,127 22,004 7,600 29,526
10-11 years complete 3,686 23,545 10,188 22,805
12 or more years complete 4,094 28,366 16,121 50,317
Religion
Hindu 3,167 24,719 9,841 126,488
Muslim 3,449 22,862 9,908 24,006
Christian 4,305 30,747 14,343 3,152
Sikh 3,834 28,333 14,970 2,241
Buddhist/Neo-Buddhist 3,448 22,751 10,151 838
Jain 7,601 32,133 26,955 272
Other 4,443 29,306 8,529 556
Caste/tribe
Scheduled caste 3,032 21,905 7,417 35,216
Scheduled tribe 2,475 20,202 5,339 14,492
Other backward class 3,183 24,909 10,703 68,456
Other 4,045 26,488 13,134 38,028
Don't know 3,093 22,332 7,788 1,361
Total 3,245 24,663 10,035 157,552
Note: Out-of-pocket cost paid for the delivery includes the cost of transportation, the hospital stay, tests,
medicines, and other costs.
1
Excludes women who don't know the cost
301
Table 8.21 Duration of stay in health facility after birth
Among women with a birth in the 5 years preceding the survey who delivered their most recent live birth in a
health facility, percent distribution by type of health facility and duration of stay in the health facility following
their most recent live birth, according to type of delivery, India, 2019-21
Don't
12-23 3 or know/ Number of
Type of delivery <6 hours 6-11 hours hours 1-2 days more days missing Total women
PUBLIC HEALTH FACILITY
Vaginal birth 13.8 4.0 2.6 39.6 39.7 0.2 100.0 90,800
Caesarean birth 4.9 1.5 0.4 7.4 85.4 0.4 100.0 17,430
PRIVATE HEALTH FACILITY
Vaginal birth 11.6 3.2 2.8 45.7 36.6 0.2 100.0 24,803
Caesarean birth 3.3 1.1 0.1 5.5 89.8 0.2 100.0 24,520
ANY HEALTH FACILITY
Vaginal birth 13.3 3.9 2.6 40.9 39.1 0.2 100.0 115,603
Caesarean birth 4.0 1.3 0.2 6.3 88.0 0.3 100.0 41,950
302
Table 8.22 Timing of first postnatal health check for the mother
Among women age 15-49 giving birth in the 5 years preceding the survey, percent distribution of the mother's first postnatal health check for the most recent live
birth by time after delivery, and percentage of women with a live birth in the 5 years preceding the survey who received a postnatal health check during the first 2
days after giving birth, according to background characteristics, India 2019-21
Percentage
with a
postnatal
Time between delivery and mother's first postnatal health check1
health check in
Background Less than 4-23 Don't know/ No postnatal the first 2 days Number of
characteristic 4 hours hours 1-2 days 3-6 days 7-41 days missing health check2 Total after birth women

<20 46.0 3.8 9.3 7.6 13.3 0.8 19.3 100.0 59.1 17,680
20-34 48.0 3.7 10.0 8.1 14.0 0.7 15.5 100.0 61.7 150,036
35-49 45.8 2.9 9.2 6.8 15.0 1.0 19.2 100.0 58.0 7,231
Birth order
1 47.5 3.9 9.6 8.4 16.4 0.9 13.2 100.0 61.1 60,681
303
2-3 48.3 3.5 10.1 8.1 13.8 0.7 15.5 100.0 61.9 91,908
4-5 46.3 3.5 10.3 6.9 8.2 0.7 24.0 100.0 60.2 17,962
6 or more 43.1 2.8 9.4 5.7 7.0 0.7 31.3 100.0 55.3 4,396
Residence
Urban 50.0 3.6 8.8 7.1 17.8 0.8 11.9 100.0 62.4 49,341
Rural 46.8 3.7 10.3 8.4 12.5 0.7 17.6 100.0 60.8 125,606
Schooling
No schooling 45.9 3.2 9.9 6.8 8.1 0.6 25.4 100.0 59.0 34,350
<5 years complete 47.1 3.7 10.2 7.1 10.7 1.0 20.2 100.0 61.0 8,191
5-7 years complete 48.6 3.5 10.2 8.0 12.0 0.7 16.9 100.0 62.4 24,483
8-9 years complete 48.2 3.7 9.7 8.7 13.5 0.7 15.4 100.0 61.7 32,277
10-11 years complete 48.7 3.8 9.7 8.2 16.2 0.8 12.6 100.0 62.2 23,982
12 or more years
complete 47.7 3.9 9.9 8.5 18.6 0.8 10.5 100.0 61.6 51,664
Continued…
Table 8.22 Timing of first postnatal health check for the mother—Continued
Percentage
with a
postnatal
health check in
Religion
Hindu 47.7 3.8 10.2 8.2 14.0 0.7 15.4 100.0 61.6 139,207
Muslim 47.4 3.3 8.8 7.1 12.9 0.7 19.8 100.0 59.5 27,843
Christian 42.9 2.7 9.3 6.9 19.4 2.8 15.9 100.0 54.9 3,689
Sikh 54.6 2.2 9.5 9.2 14.1 1.0 9.3 100.0 66.3 2,324
Jain 50.9 2.2 9.0 4.5 28.5 0.5 4.4 100.0 62.2 272
304
Other 50.1 2.5 10.7 5.4 9.3 1.1 20.8 100.0 63.3 724
Caste/tribe
Scheduled caste 48.1 3.5 9.8 8.0 13.0 0.7 17.0 100.0 61.4 39,627
Scheduled tribe 47.4 3.4 10.9 9.3 11.5 1.1 16.5 100.0 61.7 17,291
Other 47.1 4.2 9.1 8.2 14.5 0.8 16.1 100.0 60.4 41,236
Don't know 43.4 4.1 8.7 7.3 12.3 2.2 22.0 100.0 56.3 1,560
Wealth quintile
Lowest 44.2 3.5 9.8 6.9 8.5 0.8 26.3 100.0 57.5 39,839
Second 47.3 3.8 10.1 8.3 11.3 0.7 18.4 100.0 61.2 36,811
Middle 48.4 3.6 10.3 7.9 15.3 0.7 13.6 100.0 62.4 34,249
Fourth 49.7 3.8 9.5 8.2 17.1 0.7 10.9 100.0 63.1 33,650
Highest 49.6 3.6 9.7 8.9 19.4 0.8 7.9 100.0 62.9 30,398
Continued…
Table 8.22 Timing of first postnatal health check for the mother—Continued
Percentage
with a
postnatal
health check in
Place of delivery
Public sector
health facility 49.4 3.8 10.3 8.6 13.0 0.7 14.2 100.0 63.5 108,230
NGO or trust
hospital/clinic 53.3 5.2 8.1 7.3 13.8 1.2 11.1 100.0 66.5 827
Private sector
health facility 48.8 3.7 9.3 8.5 19.8 0.9 9.1 100.0 61.8 48,495
305
Own home 33.7 2.7 9.4 3.3 3.9 0.5 46.3 100.0 45.9 14,711
Parent's home 32.5 1.5 9.4 2.8 4.1 0.6 49.1 100.0 43.5 2,135
Other home 32.1 3.2 3.2 6.2 5.3 1.3 48.7 100.0 38.5 170
Other3 43.3 5.3 3.7 1.8 5.1 0.9 39.9 100.0 52.3 379
Total 47.7 3.7 9.9 8.0 14.0 0.8 16.0 100.0 61.2 174,947
Note: Postnatal health checks are checks on the woman's health within 42 days of the birth.
1
Includes women who received a check from a doctor, midwife, nurse, community health worker, or traditional birth attendant
2
Includes women who received a check after 41 days
3
Includes missing
Table 8.23 Type of provider of first postnatal health check for the mother
Among women age 15-49 giving birth in the 5 years preceding the survey, percent distribution by type of provider for the mother's
first postnatal health check for the last live birth, according to background characteristics, India, 2019-21
Type of health provider of mother's first postnatal health check

ANM/
nurse/ Other
Background midwife/ health No postnatal Number of
characteristic Doctor LHV personnel Dai (TBA) ASHA Other health check Total women

<20 40.0 25.6 0.3 1.8 12.9 0.1 19.3 100.0 17,680
20-34 43.8 26.6 0.3 2.1 11.6 0.2 15.5 100.0 150,036
35-49 41.0 24.7 0.3 3.0 11.8 0.1 19.2 100.0 7,231
Birth order
1 49.3 24.8 0.3 1.2 11.0 0.1 13.2 100.0 60,681
2-3 43.5 26.8 0.3 2.0 11.7 0.2 15.5 100.0 91,908
4-5 27.4 29.2 0.3 4.8 14.0 0.2 24.0 100.0 17,962
6 or more 20.2 27.0 0.3 6.6 14.3 0.1 31.3 100.0 4,396
Residence
Urban 58.0 22.3 0.3 1.5 5.9 0.2 11.9 100.0 49,341
Rural 37.5 28.0 0.3 2.4 14.1 0.1 17.6 100.0 125,606
Schooling
No schooling 26.8 28.7 0.3 4.6 13.9 0.2 25.4 100.0 34,350
<5 years complete 36.5 26.6 0.2 2.8 13.5 0.1 20.2 100.0 8,191
5-7 years complete 38.7 28.6 0.3 2.3 13.0 0.1 16.9 100.0 24,483
8-9 years complete 39.9 29.1 0.3 2.0 13.2 0.1 15.4 100.0 32,277
10-11 years complete 50.0 24.4 0.3 1.1 11.4 0.1 12.6 100.0 23,982
12 or more years
complete 56.5 23.0 0.3 0.9 8.8 0.2 10.5 100.0 51,664
Religion
Hindu 42.9 27.3 0.3 2.1 11.9 0.1 15.4 100.0 139,207
Muslim 42.9 22.4 0.3 2.7 11.7 0.1 19.8 100.0 27,843
Christian 51.9 18.5 0.2 1.2 12.1 0.3 15.9 100.0 3,689
Sikh 47.8 34.3 0.3 1.4 6.2 0.7 9.3 100.0 2,324
Buddhist/Neo-Buddhist 70.0 15.2 0.3 0.6 4.5 0.0 9.5 100.0 887
Jain 77.3 16.0 0.0 0.5 1.7 0.1 4.4 100.0 272
Other 30.3 30.8 0.1 2.9 14.8 0.3 20.8 100.0 724
Caste/tribe
Scheduled caste 39.3 28.3 0.2 2.5 12.5 0.1 17.0 100.0 39,627
Scheduled tribe 35.8 29.6 0.3 2.5 15.0 0.2 16.5 100.0 17,291
Other backward class 43.3 27.5 0.3 2.2 11.4 0.1 15.2 100.0 75,232
Other 50.4 21.3 0.2 1.5 10.4 0.2 16.1 100.0 41,236
Don't know 40.2 23.7 0.1 2.4 11.3 0.2 22.0 100.0 1,560
Continued…
306
Table 8.23 Type of provider of first postnatal health check for the mother—Continued
Among women age 15-49 giving birth in the 5 years preceding the survey, percent distribution by type of provider for the mother's
first postnatal health check for the last live birth, according to background characteristics, India, 2019-21
Type of health provider of mother's first postnatal health check

ANM/
nurse/ Other
Background midwife/ health No postnatal Number of
characteristic Doctor LHV personnel Dai (TBA) ASHA Other health check Total women
Wealth quintile
Lowest 24.7 28.3 0.3 4.0 16.2 0.2 26.3 100.0 39,839
Second 34.9 29.2 0.3 2.5 14.5 0.1 18.4 100.0 36,811
Middle 45.5 27.4 0.2 1.5 11.7 0.1 13.6 100.0 34,249
Fourth 53.9 24.6 0.3 1.2 8.9 0.1 10.9 100.0 33,650
Highest 63.5 21.3 0.2 1.0 6.0 0.2 7.9 100.0 30,398
Place of delivery
Public sector
health facility 39.1 32.6 0.2 0.7 12.9 0.1 14.2 100.0 108,230
NGO or trust
hospital/clinic 64.2 19.1 0.0 0.4 5.3 0.0 11.1 100.0 827
Private sector
health facility 64.1 18.8 0.3 0.6 7.1 0.1 9.1 100.0 48,495
Own home 8.9 8.8 0.6 15.7 19.2 0.5 46.3 100.0 14,711
Parent's home 12.9 9.0 0.6 15.0 12.7 0.7 49.1 100.0 2,135
Other home 6.4 16.1 1.9 15.6 11.3 0.0 48.7 100.0 170
Other1 34.3 14.2 0.8 3.9 6.9 0.0 39.9 100.0 379
Total 43.3 26.4 0.3 2.1 11.8 0.2 16.0 100.0 174,947
Note: Postnatal health checks are checks on the woman's health within 42 days of the birth.
ANM = Auxiliary nurse midwife; LHV = Lady health visitor; TBA = Traditional birth attendant; ASHA = Accredited Social Health Activist; NGO =
Nongovernmental organization
1
Includes missing
307
Table 8.24 Timing of first postnatal health check for the newborn
Percent distribution of last births in the 5 years preceding the survey by whether or not they received a postnatal health check and the timing of the first postnatal
health check, and percentage with a postnatal health check in the first 2 days after birth, according to background characteristics, India, 2019-21
Percentage with
a postnatal
Time between delivery and newborn's first postnatal health check health check in
Less than Don't know/ No postnatal the first 2 days Number
Background characteristic 1 hour 1-3 hours 4-23 hours 1-2 days 3-41 days missing health check Total after birth of births

<20 21.9 49.2 3.9 4.9 3.8 1.1 15.2 100.0 79.9 17,680
20-34 22.2 51.5 3.5 4.9 3.5 0.9 13.5 100.0 82.1 150,036
35-49 20.3 48.0 3.2 4.5 4.6 1.0 18.5 100.0 75.9 7,231
Birth order
1 24.3 52.7 4.0 4.7 3.0 1.1 10.2 100.0 85.7 60,681
2-3 22.0 51.8 3.4 4.8 3.6 0.8 13.5 100.0 82.0 91,908
4-5 17.4 44.9 3.0 5.3 4.9 0.5 24.0 100.0 70.5 17,962
6 or more 14.4 38.7 3.0 5.3 6.0 0.5 32.1 100.0 61.4 4,396
308
Residence
Urban 24.0 54.7 3.6 4.4 2.8 0.9 9.5 100.0 86.7 49,341
Rural 21.4 49.7 3.5 5.0 3.9 0.9 15.6 100.0 79.6 125,606
Mother's schooling
No schooling 16.9 44.1 2.9 5.3 5.0 0.5 25.2 100.0 69.3 34,350
<5 years complete 20.7 47.8 3.5 5.1 4.3 1.0 17.5 100.0 77.2 8,191
5-7 years complete 21.3 50.5 3.7 5.0 3.7 0.8 15.0 100.0 80.5 24,483
8-9 years complete 23.8 50.8 3.5 4.7 3.5 1.0 12.7 100.0 82.8 32,277
10-11 years complete 22.5 54.7 3.8 4.9 3.3 1.0 9.8 100.0 85.9 23,982
12 or more years complete 25.0 55.1 3.8 4.4 2.7 1.1 7.9 100.0 88.3 51,664
Continued…
Table 8.24 Timing of first postnatal health check for the newborn—Continued
Percentage with
a postnatal
Time between delivery and newborn's first postnatal health check
health check in
Religion
Hindu 22.2 51.7 3.6 4.9 3.5 0.8 13.2 100.0 82.5 139,207
Muslim 20.1 49.2 3.4 4.7 4.2 0.9 17.5 100.0 77.4 27,843
Christian 23.7 45.4 3.0 5.2 4.6 3.5 14.5 100.0 77.3 3,689
Sikh 39.2 43.9 1.8 3.3 1.6 0.8 9.3 100.0 88.3 2,324
Jain 38.2 44.5 1.9 3.9 7.3 0.7 3.4 100.0 88.6 272
Other 17.7 46.1 1.5 4.8 6.0 1.4 22.4 100.0 70.2 724
Caste/tribe
309
Scheduled caste 22.4 49.9 3.4 4.8 3.6 0.9 14.9 100.0 80.6 39,627
Scheduled tribe 19.7 50.1 3.5 5.8 4.6 1.1 15.2 100.0 79.0 17,291
Other 22.9 51.1 4.3 4.4 3.5 1.1 12.7 100.0 82.7 41,236
Don't know 19.4 47.3 3.7 4.3 3.6 2.6 19.1 100.0 74.7 1,560
Wealth quintile
Lowest 17.7 42.8 3.3 5.4 5.2 0.9 24.7 100.0 69.2 39,839
Second 20.5 49.6 3.6 5.2 4.0 0.9 16.3 100.0 78.8 36,811
Middle 22.1 53.9 3.7 4.9 3.4 0.9 11.1 100.0 84.6 34,249
Fourth 23.7 55.7 3.8 4.5 2.8 0.9 8.6 100.0 87.7 33,650
Highest 28.2 55.5 3.3 4.0 2.1 0.9 6.0 100.0 91.1 30,398
Continued…
Table 8.24 Timing of first postnatal health check for the newborn—Continued
Percentage with
a postnatal
Time between delivery and newborn's first postnatal health check
health check in
Place of delivery
Public sector health facility 22.7 54.9 3.9 4.6 2.5 0.8 10.4 100.0 86.2 108,230
NGO or trust hospital/clinic 27.1 53.2 4.9 4.3 1.7 0.4 8.4 100.0 89.4 827
Private sector health facility 26.7 56.0 3.3 3.8 2.2 1.2 6.8 100.0 89.8 48,495
Own home 5.4 13.3 1.8 9.3 14.8 0.3 55.1 100.0 29.8 14,711
Parent's home 6.1 12.9 2.0 8.1 12.2 0.7 58.0 100.0 29.1 2,135
Other home 5.2 8.8 1.4 6.5 16.7 0.7 60.7 100.0 21.9 170
Other1 5.1 19.1 1.3 7.2 11.0 0.4 55.8 100.0 32.7 379
Total 22.1 51.1 3.5 4.8 3.6 0.9 13.9 100.0 81.6 174,947
310
Note: Postnatal health checks are checks on the newborn's health within 42 days.
1
Includes missing
Table 8.25 Type of provider of first postnatal health check for the newborn
Percent distribution of last births in the 5 years preceding the survey by type of provider for the newborn's first postnatal health check
during the two days after the birth, according to background characteristics, India, 2019-21
Type of health provider of newborn's first postnatal health check

ANM/ No
nurse/ Other Don't postnatal
Background midwife/ health Dai know/ health Number
characteristic Doctor LHV personnel (TBA) ASHA Other missing check Total of births

<20 13.0 10.1 0.3 1.4 16.7 0.1 0.4 58.0 100.0 17,680
20-34 15.5 11.2 0.2 1.6 14.3 0.1 0.3 56.9 100.0 150,036
35-49 14.9 10.3 0.1 2.2 13.7 0.1 0.4 58.3 100.0 7,231
Birth order
1 17.7 10.9 0.2 1.0 14.3 0.1 0.3 55.6 100.0 60,681
2-3 15.2 11.3 0.2 1.5 14.4 0.1 0.3 56.9 100.0 91,908
4-5 9.1 10.3 0.2 3.4 15.4 0.2 0.3 61.2 100.0 17,962
6 or more 6.9 9.4 0.1 4.2 16.1 0.1 0.3 62.9 100.0 4,396
Residence
Urban 21.3 9.8 0.3 1.2 7.6 0.2 0.2 59.4 100.0 49,341
Rural 12.9 11.5 0.2 1.7 17.2 0.1 0.3 56.1 100.0 125,606
Mother's schooling
No schooling 8.6 10.4 0.2 3.2 15.9 0.2 0.3 61.4 100.0 34,350
<5 years complete 10.2 11.0 0.2 1.9 17.8 0.2 0.4 58.2 100.0 8,191
5-7 years complete 12.0 11.6 0.2 1.7 15.8 0.1 0.3 58.2 100.0 24,483
8-9 years complete 13.6 11.5 0.2 1.7 17.3 0.1 0.2 55.3 100.0 32,277
10-11 years complete 17.2 10.8 0.3 0.8 14.1 0.1 0.3 56.4 100.0 23,982
12 or more years
complete 22.1 10.9 0.2 0.7 10.8 0.1 0.3 54.8 100.0 51,664
Religion
Hindu 15.5 11.5 0.2 1.6 14.6 0.1 0.3 56.2 100.0 139,207
Muslim 13.3 8.9 0.2 2.0 14.8 0.1 0.2 60.4 100.0 27,843
Christian 18.1 8.6 0.4 0.9 12.1 0.2 0.9 58.8 100.0 3,689
Sikh 17.7 11.3 0.1 0.9 9.7 0.3 0.4 59.6 100.0 2,324
Jain 31.0 6.8 0.0 0.0 4.7 0.1 0.4 56.9 100.0 272
Other 7.7 9.7 0.0 2.0 13.6 0.1 0.7 66.1 100.0 724
Caste/tribe
Scheduled caste 13.6 11.6 0.2 2.0 15.5 0.1 0.3 56.7 100.0 39,627
Scheduled tribe 11.4 13.2 0.2 1.9 17.7 0.1 0.3 55.2 100.0 17,291
Other 16.9 8.9 0.2 1.1 14.3 0.1 0.3 58.2 100.0 41,236
Don't know 13.1 7.2 0.2 1.7 11.3 0.3 1.4 65.0 100.0 1,560
Continued…
311
Table 8.25 Type of provider of first postnatal health check for the newborn—Continued
Percent distribution of last births in the 5 years preceding the survey by type of provider for the newborn's first postnatal health check
during the two days after the birth, according to background characteristics, India, 2019-21
Type of health provider of newborn's first postnatal health check

ANM/ No
nurse/ Other Don't postnatal
Background midwife/ health Dai know/ health Number
characteristic Doctor LHV personnel (TBA) ASHA Other missing check Total of births
Wealth quintile
Lowest 7.4 10.9 0.2 2.8 19.1 0.2 0.3 59.1 100.0 39,839
Second 10.9 11.7 0.2 1.9 17.7 0.1 0.3 57.1 100.0 36,811
Middle 15.6 11.9 0.2 1.1 14.5 0.1 0.3 56.3 100.0 34,249
Fourth 20.1 10.9 0.3 0.9 11.2 0.1 0.3 56.2 100.0 33,650
Highest 25.1 9.4 0.2 0.8 8.2 0.1 0.2 55.9 100.0 30,398
Place of delivery
Public sector health
facility 12.8 12.4 0.2 0.7 16.4 0.1 0.3 57.0 100.0 108,230
NGO or trust
hospital/clinic 22.0 9.8 0.1 0.4 6.9 0.0 0.0 60.8 100.0 827
Private sector health
facility 23.4 8.6 0.2 0.6 9.3 0.1 0.2 57.6 100.0 48,495
Own home 6.3 9.1 0.4 10.1 18.7 0.3 0.3 54.8 100.0 14,711
Parent's home 9.4 8.2 0.6 11.0 12.1 0.6 0.7 57.4 100.0 2,135
Other home 8.7 11.3 0.9 6.2 11.5 0.0 0.7 60.7 100.0 170
Other1 22.5 8.5 0.0 2.0 10.7 0.7 0.4 55.2 100.0 379
Total 15.2 11.0 0.2 1.6 14.5 0.1 0.3 57.0 100.0 174,947
Note: Postnatal health checks are checks on the newborn's health within 42 days of the birth.
ANM = Auxiliary nurse midwife; LHV = Lady health visitor; TBA = Traditional birth attendant; ASHA = Accredited Social Health Activist; NGO =
Nongovernmental organization
1
Includes missing
312
Table 8.26 Components of postnatal health check
Among women age 15-49 with a live birth in the 5 years preceding the survey, components of postnatal care for the most recent
birth from a healthcare provider in the 2 days after birth, by background characteristics, India, 2019-21
Percentage Percentage who Percentage Percentage who

Percentage whose were counselled who were were observed
whose cord temperature on danger signs counselled on breastfeeding Number
Background characteristic was examined was measured for newborns breastfeeding the baby of births

<20 68.8 73.2 71.2 81.1 76.7 17,680
20-34 73.3 76.2 73.2 81.2 76.8 150,036
35-49 70.0 72.3 68.5 76.4 72.4 7,231
Birth order
1 74.9 78.8 75.0 83.5 79.3 60,681
2-3 73.3 76.3 73.5 81.5 77.1 91,908
4-5 65.5 66.1 64.8 73.1 68.3 17,962
6 or more 58.6 59.8 59.7 68.0 62.0 4,396
Residence
Urban 76.2 79.9 75.8 83.3 79.6 49,341
Rural 71.3 74.1 71.6 80.1 75.4 125,606
Mother's schooling
No schooling 64.6 65.7 65.0 73.2 68.0 34,350
<5 years complete 66.5 69.9 67.3 77.2 73.1 8,191
5-7 years complete 71.2 74.1 71.4 79.8 74.9 24,483
8-9 years complete 73.4 76.7 73.6 82.3 77.9 32,277
10-11 years complete 75.6 79.7 76.3 84.2 80.3 23,982
Religion
Hindu 73.7 76.4 73.7 81.6 77.0 139,207
Muslim 66.9 71.0 68.4 77.5 73.7 27,843
Christian 73.9 77.6 69.4 79.7 75.6 3,689
Sikh 82.1 85.2 76.6 88.9 84.8 2,324
Jain 88.8 90.7 83.5 91.5 90.2 272
Other 67.5 71.7 68.2 78.3 72.0 724
Caste/tribe
Scheduled caste 71.9 74.6 72.4 80.9 76.2 39,627
Scheduled tribe 72.7 76.4 74.0 81.6 77.1 17,291
Other 71.2 75.9 71.6 81.0 77.0 41,236
Don't know 59.0 63.0 56.0 72.4 66.5 1,560
Wealth quintile
Lowest 63.6 65.4 65.0 74.4 69.5 39,839
Second 70.3 73.3 71.0 79.6 74.7 36,811
Middle 75.2 78.3 75.2 83.1 78.8 34,249
Fourth 77.2 81.1 77.0 84.5 80.5 33,650
Highest 79.7 83.1 77.8 85.2 81.1 30,398
Total 72.7 75.7 72.8 81.0 76.6 174,947
Note: Healthcare provider includes auxiliary nurse midwife (ANM), lady health visitor (LHV), Accredited Social Health Activist (ASHA), anganwadi
worker, and other community health worker.
313
Table 8.27 Symptoms of postpartum complications
Among women age 15-49 giving birth in the 5 years preceding the survey,
percentage who had massive vaginal bleeding or very high fever within 2 months
after the most recent delivery, by background characteristics, India, 2019-21
Massive Very Number

Background characteristic vaginal bleeding high fever of births
Residence
Urban 22.9 15.6 49,341
Rural 23.1 18.7 125,606

<20 24.3 17.4 17,680
20-34 23.0 17.9 150,036
35-49 20.4 18.1 7,231
Birth order
1 24.5 17.4 60,681
2-3 22.6 17.5 91,908
4-5 21.1 20.4 17,962
6 or more 20.1 20.5 4,396
Place of delivery
Public sector health facility 23.7 18.7 108,230
NGO or trust hospital/clinic 23.5 16.2 827
Private sector health facility 22.3 15.7 48,495
Own home 20.2 18.3 14,711
Parent's home 25.7 17.9 2,135
Other home 28.2 19.9 170
Other1 24.3 17.4 379
Assistance during delivery

Doctor 23.5 16.6 112,331
ANM/nurse/midwife/LHV 22.5 20.7 45,428
Other health personnel 22.1 24.8 728
Dai (TBA) 19.6 17.8 8,844
Other1 22.6 18.9 7,096
No one 16.5 10.8 519
Total 23.0 17.8 174,947
NGO = Nongovernmental organization; ANM = Auxiliary nurse midwife; LHV = Lady health
visitor; TBA = Traditional birth attendant
1
Includes missing
314
Table 8.28 Maternal care indicators by state/union territory
Maternal care indicators for births to mothers age 15-49 during the 5 years
preceding the survey by state/union territory, India, 2019-21
Percentage of
Percentage who Percentage of deliveries with a
received all deliveries with postnatal health
recommended a postnatal check for the
types of health check2 mother within
State/union territory antenatal care1 for the mother 2 days of birth2
India 31.2 83.2 81.7
North
Delhi 56.5 89.2 88.3
Haryana 35.3 94.1 93.3
Ladakh 10.4 84.6 82.5
Punjab 34.4 89.6 88.5
Rajasthan 21.7 87.4 86.3
Central
East
Bihar 7.6 65.7 64.4
Jharkhand 14.9 77.5 75.9
Odisha 49.8 93.8 92.5
West Bengal 48.2 73.9 70.1
Northeast
Assam 26.9 72.0 69.6
Manipur 46.1 76.4 75.3
Meghalaya 26.4 69.8 56.4
Mizoram 37.3 73.0 70.2
Nagaland 5.3 48.6 47.7
Sikkim 34.9 76.4 71.2
Tripura 15.4 75.6 73.2
West
and Daman & Diu 53.5 94.9 92.2
Goa 81.3 95.3 95.4
Gujarat 49.0 92.6 91.5
Continued…
315
Table 8.28 Maternal care indicators by state/union territory—Continued
Maternal care indicators for births to mothers age 15-49 during the 5 years
preceding the survey by state/union territory, India, 2019-21
Percentage of
Percentage who Percentage of deliveries with a
received all deliveries with postnatal health
recommended a postnatal check for the
types of health check2 mother within
State/union territory antenatal care1 for the mother 2 days of birth2
South
Andaman & Nicobar
Islands 65.9 90.7 89.1
Karnataka 34.0 90.1 88.5
Kerala 69.3 85.6 93.2
Tamil Nadu 71.3 92.7 93.2
Telangana 38.0 91.3 88.5
1
For the last live birth in the 5 years preceding the survey, mother received four or
more antenatal checks, received at least one tetanus toxoid injection, and took iron and
folic acid tablets or syrup for 100 days or more
2
Based on the last live birth in the 5 years preceding the survey. Postnatal health checks
are checks on the woman's health within 42 days of the birth
316
Table 8.29 Trends in maternal care indicators
Maternal care indicators for births to women age 15-49 during the 5 years preceding the survey by residence,
NFHS-5 and NFHS-4, India
NFHS-5 NFHS-4
Indicator (2019-2021) (2015-2016)
URBAN
Percentage who received antenatal care1 95.7 90.7

Percentage who had at least four antenatal care visits1 68.5 66.4
Percentage who received antenatal care within the first trimester of pregnancy1 75.4 69.1
Percentage of births delivered in a health facility2 93.8 88.7
Percentage of deliveries assisted by a skilled provider2,3 94.0 90.0
RURAL

TOTAL

1
Based on the last birth to women in the 5 years preceding the survey
2
Based on all births to women in the 5 years preceding the survey
3
Doctor, auxiliary nurse midwife, nurse, midwife, lady health visitor, or other health personnel
317
Table 8.30 Advice received during pregnancy
Among women age 15-49 with a live birth in the 5 years preceding the survey who met with a community health worker in the
last 3 months of pregnancy for their most recent live birth, percentage who received different types of advice, by background
Number of
women who
met with a
Percentage who received advice on:
community
Importance of health worker in
institutional Keeping the Family the last 3 months
Background characteristic delivery Cord care Breastfeeding baby warm planning of pregnancy1

<20 87.0 82.6 88.7 85.6 80.9 12,648
20-34 88.6 84.6 90.4 86.8 83.3 103,390
35-49 87.2 84.8 89.9 86.2 82.8 4,423
Birth order
1 88.7 85.0 90.7 87.6 82.7 42,179
2-3 88.7 84.9 90.7 87.2 84.0 64,092
4 or more 86.1 80.3 86.6 81.7 79.4 14,190
Residence
Urban 90.0 86.2 91.5 88.6 85.9 29,138
Rural 87.9 83.8 89.8 86.1 82.1 91,322
Schooling
No schooling 86.0 80.7 86.9 82.2 79.0 22,077
<5 years complete 86.4 80.9 87.5 84.1 79.9 5,740
5-7 years complete 88.2 84.4 90.3 86.9 82.6 17,627
8-9 years complete 88.9 85.1 90.3 87.1 83.9 23,490
10-11 years complete 89.5 86.1 92.0 88.9 85.0 17,346
Religion
Hindu 88.6 84.4 90.3 86.7 83.1 97,548
Muslim 87.3 84.3 89.2 86.1 82.6 17,877
Christian 89.1 83.3 92.3 89.1 83.1 2,525
Sikh 91.6 87.2 94.4 89.1 84.2 1,401
Jain 93.2 91.6 98.2 96.9 93.7 119
Other 85.2 74.8 84.0 78.0 76.9 465
Caste/tribe
Scheduled caste 88.6 84.1 90.3 86.6 82.7 28,368
Scheduled tribe 90.1 87.1 92.3 89.7 86.0 12,799
Other 87.1 83.6 89.4 86.2 83.0 25,898
Don't know 82.5 69.8 83.8 77.8 75.9 999
Total 88.4 84.4 90.2 86.7 83.0 120,461

1
Community health worker includes auxiliary nurse midwife (ANM), lady health visitor (LHV), Accredited Social Health Activist (ASHA), anganwadi
worker, and other community health worker.
318
Table 8.31 Delivery and postnatal care by state/union territory
Percentage of live births in the 5 years preceding the survey delivered in a health facility by type of facility, percentage delivered with assistance from a skilled provider,
percentage delivered by caesarean section (C-section), percentage delivered by a C-section that was planned before the onset of labour pains, and percentage delivered by a
C-section that was decided on after the onset of labour pains, and percentage of last-born children in the 5 years preceding the survey who received a postnatal health check
in the first 2 days of birth, by state/union territory, India, 2019-21
Percentage of
children who
Percentage of Percentage of Percentage of received postnatal
conduct a C-section
births delivered births delivered Percentage of deliveries Percentage of care from a skilled
in a public in a private births delivered in assisted by a births delivered by Before onset of After onset of provider within 2
State/union territory health facility health facility a health facility skilled provider1 caesarean section labour pains labour pains days of delivery1
India 61.9 26.7 88.6 89.4 21.5 12.3 9.0 11.5

North
Chandigarh 83.2 13.6 96.9 97.0 31.3 17.7 13.0 9.2
Delhi 62.4 29.3 91.8 93.4 23.6 12.7 10.8 12.5
Haryana 57.5 37.4 94.9 94.4 19.4 11.8 7.4 16.3
319
Jammu & Kashmir 86.8 5.6 92.4 95.1 41.7 26.0 15.4 16.9
Ladakh 94.7 0.4 95.1 97.0 37.6 20.0 17.6 13.0
Punjab 53.9 40.4 94.3 95.6 38.5 23.1 15.0 12.9
Rajasthan 77.0 17.9 94.9 95.6 10.4 5.1 5.2 11.1
Uttarakhand 53.3 29.9 83.2 83.7 20.4 11.7 8.5 12.1
Central
Chhattisgarh 70.0 15.7 85.7 88.8 15.2 7.4 7.7 15.1
Madhya Pradesh 80.2 10.5 90.7 89.3 12.1 6.9 5.1 14.5
Uttar Pradesh 57.7 25.7 83.4 84.8 13.7 7.3 6.3 14.1
East
Bihar 56.9 19.3 76.2 78.9 9.7 4.6 5.0 8.8
Jharkhand 56.8 18.9 75.8 82.5 12.8 6.2 6.5 12.2
Odisha 78.7 13.5 92.2 91.8 21.6 11.1 10.4 9.5
West Bengal 72.4 19.4 91.7 94.1 32.6 19.3 13.2 7.8
Continued…
Table 8.31 Delivery and postnatal care by state/union territory—Continued
Percentage of live births in the 5 years preceding the survey delivered in a health facility by type of facility, percentage delivered with assistance from a skilled provider,
percentage delivered by caesarean section (C-section), percentage delivered by a C-section that was planned before the onset of labour pains, and percentage delivered by a
C-section that was decided on after the onset of labour pains, and percentage of last-born children in the 5 years preceding the survey who received a postnatal health check
in the first 2 days of birth, by state/union territory, India, 2019-21
Percentage of
children who
Percentage of Percentage of Percentage of received postnatal
conduct a C-section
births delivered births delivered Percentage of deliveries Percentage of care from a skilled
in a public in a private births delivered in assisted by a births delivered by Before onset of After onset of provider within 2
State/union territory health facility health facility a health facility skilled provider1 caesarean section labour pains labour pains days of delivery1
Northeast
Assam 74.4 9.7 84.1 86.1 18.1 11.2 6.8 5.6
Manipur 59.4 20.5 79.9 85.6 25.6 19.2 6.2 1.7
Meghalaya 49.1 8.9 58.1 64.0 8.2 4.4 3.3 4.0
Mizoram 73.8 12.0 85.8 87.7 10.8 7.4 3.3 4.9
320
Nagaland 35.8 9.9 45.7 55.3 5.2 1.9 3.2 3.4
Sikkim 78.6 16.1 94.7 96.5 32.8 19.5 11.1 7.2
Tripura 78.7 10.4 89.2 89.2 25.1 17.5 7.4 2.9
West
Daman & Diu 71.9 24.6 96.5 97.8 22.9 9.5 12.9 8.3
Goa 56.2 43.5 99.7 99.1 39.5 20.2 19.2 9.4
Gujarat 43.3 51.0 94.3 93.2 21.0 12.0 8.9 11.6
Maharashtra 55.8 38.9 94.7 93.8 25.4 14.8 10.4 9.7
South
Andhra Pradesh 50.4 46.1 96.5 96.1 42.4 27.7 14.7 11.2
Karnataka 64.8 32.2 97.0 93.8 31.5 17.7 13.7 13.3
Kerala 34.1 65.7 99.8 100.0 38.9 28.2 10.7 6.2
Lakshadweep 65.3 34.3 99.6 100.0 31.3 20.7 10.6 3.5
Puducherry 76.5 23.0 99.6 99.9 36.3 19.0 17.3 11.0
Tamil Nadu 66.9 32.7 99.6 99.8 44.9 26.1 18.8 15.9
Telangana 49.7 47.4 97.0 93.6 60.7 37.6 22.9 11.5
1
A skilled provider includes a doctor, auxiliary nurse midwife, nurse, midwife, lady health visitor, and other health personnel. For birth attendance, if the woman mentioned more than one person
attending the delivery, only the most qualified person is considered in this table.
Table 8.32 Birth order and delivery characteristics by state/union territory
Percentage of births to women age 15-49 during the 3 years preceding the survey of birth
order 3 or more, percentage of women who had a live birth in the 5 years preceding the
survey by antenatal care (ANC) provider during pregnancy for the most recent live birth, by
Percentage of
births receiving
Percentage of antenatal care
Percentage of births receiving from an
births of order antenatal care ANM/nurse/
State/union territory 3 or more from a doctor midwife/LHV
India 26.5 62.6 25.8
North
Delhi 21.3 74.1 16.5
Haryana 24.9 62.8 28.0
Ladakh 22.8 78.3 19.2
Punjab 18.9 52.2 39.5
Rajasthan 26.6 61.7 31.6
Central
East
Bihar 41.6 38.7 31.4
Jharkhand 31.6 42.9 40.5
Odisha 19.5 82.1 10.6
West Bengal 15.0 70.7 16.7
Northeast
Assam 22.0 59.7 30.3
Manipur 29.5 91.0 1.5
Meghalaya 50.7 61.9 24.4
Mizoram 38.6 69.4 20.6
Nagaland 33.9 49.8 23.7
Sikkim 10.4 67.0 23.0
Tripura 12.5 82.1 2.1
West
Daman & Diu 25.1 75.3 25.1
Goa 9.9 97.7 1.2
Gujarat 23.8 75.2 13.4
Continued…
321
Table 8.32 Birth order and delivery characteristics by state/union territory—Continued
Percentage of births to women age 15-49 during the 3 years preceding the survey of birth
order 3 or more, percentage of women who had a live birth in the 5 years preceding the
survey by antenatal care (ANC) provider during pregnancy for the most recent live birth, by
Percentage of
births receiving
Percentage of antenatal care
Percentage of births receiving from an
births of order antenatal care ANM/nurse/
State/union territory 3 or more from a doctor midwife/LHV
South
Karnataka 19.8 84.2 16.5
Kerala 16.4 97.9 0.1
Tamil Nadu 9.8 86.8 11.9
Telangana 16.0 93.5 4.7
ANM = Auxiliary nurse midwife; LHV = Lady health visitor
322
CHILD HEALTH 9
Key Findings
 Birth weight: Nighty-one percent of live births in the five

years preceding the survey had a written record of the
child’s weight at the time of birth or the mother was able
to recall the child’s weight. Eighteen percent of these
births had a low birth weight (less than 2.5 kg), the same
as in 2015-16.
 Vaccination coverage: Seventy-seven percent of
children age 12-23 months received all basic
vaccinations, up from 62 percent in 2015-16. Over four-
fifths (84%) of children received three doses of hepatitis
B vaccine.
 Symptoms of acute respiratory infection (ARI):
Three percent of children under five years had
symptoms of ARI in the two weeks before the survey;
advice or treatment was sought from a health facility or
provider for 56 percent of those children.
 Diarrhoea: Seven percent of children under age five
years had diarrhoea in the two weeks before the survey;
advice or treatment was sought from a health facility or
provider for 76 percent of those children. Forty-five
percent of children with diarrhoea received continued
feeding and oral rehydration therapy (ORT), as
recommended.
 Disposal of children’s stools: Only 38 percent of
young children’s stools are disposed of safely.
 Integrated Child Development Services (ICDS) for
children under age six years: Sixty-eight percent of
children received any service from an anganwadi
centre. Sixty-two percent received food supplements.
 Services from ICDS during pregnancy and while
breastfeeding: Seventy percent of pregnant women
and 66 percent of breastfeeding women received any
service from an anganwadi centre.
I
nformation on child health and survival can help policymakers and programme managers assess the efficacy of current
strategies, formulate appropriate interventions to prevent deaths from childhood illnesses, and improve the health of
children in India.
This chapter presents information on birth weight and vaccination status for young children. It also provides estimates of
the prevalence of, and treatment practices for, three common childhood illnesses: symptoms of acute respiratory infection
(ARI), fever, and diarrhoea. Since appropriate sanitary practices can help in preventing and reduce the severity of diarrhoeal
disease, information is also provided on the disposal of children’s stools.
323
9.1 BIRTH WEIGHT
Low birth weight

Births with a reported birth weight less than 2.5 kg regardless of gestational
age
Sample: Live births in the five years before the survey that have a reported
birth weight, either from a written record or mother’s report
Birth weight is an important indicator when assessing a child’s health for early exposure to childhood morbidity and
mortality. Children who weigh less than 2.5 kilograms (kg) at birth are considered to have a higher-than-average risk of
early childhood death. In the 2019-21 National Family Health Survey, birth weight was recorded from either a written
record or the mother’s report. The mother’s estimate of the infant’s size at birth was also obtained because the birth weight
is unknown for many infants.
For 91 percent of births, a written record of birth weight was available or the mother was able to recall the birth weight
(Table 9.1). Eighteen percent of these infants had a low birth weight of less than 2.5 kg. Low birth weight decreases with
an increase in the mother’s schooling and household wealth status. Only 16 percent of births to mothers having 12 or more
years of schooling have a low birth weight, compared with 20 percent of births to mothers having no schooling. Similarly,
15 percent of births to mothers in households in the highest wealth quintile have a low birth weight, compared with 21
percent of births to mothers in the lowest wealth quintile households. The pattern of birth weight by background
characteristics may be affected by the availability of birth weight records or the mother’s recall and should be interpreted
with caution.
Table 9.1 also includes information on the mother’s estimate of her infant’s size at birth. The mother’s estimate of size is
subjective but can be a useful proxy for the child’s weight. Three percent of births are reported as very small, 8 percent as
smaller than average, and 88 percent as average or larger than average.
9.2 VACCINATION OF CHILDREN

Immunizing children against vaccine preventable diseases can greatly reduce childhood morbidity and mortality.
Information on vaccination coverage was collected from the child’s health card and direct reporting from the mother.
Coverage of all basic vaccinations

Children age 12-23 months who received specific vaccines at any time before
the survey (according to a vaccination card or the mother's report). To have
received all basic vaccinations, a child must receive at least:
 one dose of BCG vaccine, which protects against tuberculosis
 three doses of DPT vaccine, which protects against diphtheria,
pertussis (whooping cough), and tetanus
 three doses of polio vaccine
 one dose of measles vaccine
Sample: Living children age 12-23 months
In India, 77 percent of children age 12-23 months received all basic vaccinations at any time before the survey, and 67
percent received all basic vaccinations by age 12 months (Table 9.3).
324
Figure 9.1 Childhood Vaccinations
Percentage of children age 12-23 months
95 94 92
91 89 88
87
81
77
3.6
BCG 1 2 3 1 2 3 Measles All None

basic
DPT Polio
Figure 9.1 shows the coverage for each of the basic vaccinations among children age 12-23 months. Coverage was highest
for the BCG vaccine (95%) and lowest for the third dose of polio vaccine (81%). Although more children received the first
doses of the DPT and polio vaccines than the second or third doses, the dropout rates are higher for polio than for DPT
(Table 9.4). Ninety-four percent of children age 12-23 months received the first DPT dose and 87 percent received the last
dose. These percentages were 92 percent and 81 percent for the polio vaccine. Four percent of children age 12-23 months
received no vaccinations. Eighty-four percent of children received three doses of hepatitis B vaccine.
Trends: The percentage of children age 12-23

months who have received all basic Figure 9.2 Trends in Childhood Vaccinations
vaccinations increased from 62 percent in
2015-16 to 77 percent in 2019-21 (Figure
9.2). Between 2015-16 and 2019-21, this
percentage increased more in rural areas (from 77
61% to 77%) than in urban areas (from 64% 62
to 76%). The proportion of children who
received no vaccinations declined from 6
percent in 2015-16 to 4 percent in 2019-21.
6.0 3.6
NFHS-4 NFHS-5
All basic vaccinations No vaccinations
325
 Children age 12-23 months of first birth order are much more likely to receive all basic vaccinations than children of
birth order 6 or more (78% versus 59%) (Table 9.4).
 Vaccination coverage increases with increasing mother’s schooling; 80 percent of children age 12-23 months whose
mothers have 12 or more years of schooling have received all basic vaccinations, compared with 68 percent of children
whose mothers have no schooling (Figure 9.3).
Figure 9.3 Coverage with All Basic Vaccinations by

Mother's Schooling
81 80
76 76 78
68

schooling complete complete complete complete years complete
 Muslim children are less likely to receive all basic vaccinations.
 Vaccination coverage increases with increasing wealth status; 79 percent of children age 12-23 months from
households in the highest wealth quintile received all basic vaccinations, compared with 71 percent of children from
households in the lowest wealth quintile.
 Coverage of all basic vaccinations varies considerably by state and union territory. The coverage is highest in Dadra
& Nagar Haveli and Daman & Diu (95%), Odisha (91%), Tamil Nadu (89%), and Himachal Pradesh (89%) and lowest
in Nagaland (58%), Meghalaya (64%) and Arunachal Pradesh (65%) (Table 9.5 and Figure 9.4).
Vaccination cards are a critical tool in ensuring that a child receives all recommended vaccinations on schedule. All mothers
were not able to produce a vaccination card for their child at the time of the interview; vaccination cards were available
for 86 percent of children age 12-23 months which is a large increase from 63 percent in 2015-16 (Table 9.4).
More than 70 percent of children age 12-23 months are fully vaccinated in the majority of districts of the country. In only
a few districts is this percentage lower than 50 percent, and most of these districts are in the northeastern states.
326
Figure 9.4 Coverage with All Basic Vaccinations by State/UT
Odisha 91
Tamil Nadu 89
Himachal Pradesh 89
West Bengal 88
Ladakh 88
Jammu & Kashmir 86
Lakshadweep 86
Karnataka 84
Sikkim 83
Puducherry 82
Goa 82
Uttarakhand 81
Chandigarh 81
Rajasthan 81
Chhattisgarh 80
Telangana 79
Kerala 78
Madhya Pradesh 77
Haryana 77
INDIA 77
Gujarat 76
Punjab 76
Delhi 76
Jharkhand 74
Maharashtra 74
Andhra Pradesh 73
Mizoram 73
Bihar 71
Uttar Pradesh 70
Tripura 70
Manipur 69
Assam 67
Meghalaya 64
Nagaland 58
327
328
9.3 SYMPTOMS OF ACUTE RESPIRATORY INFECTION
Mothers reported that 3 percent of children under age five years had symptoms of acute respiratory infection (ARI) in the
two weeks before the survey. The prevalence of symptoms of ARI is highest among children whose mother smokes
cigarettes/tobacco, whose mothers completed less than 5 years of schooling, children age 6-11 months, and Buddhists/Neo-
Buddhists (4% each) (Table 9.7).
Treatment of acute respiratory infection (ARI) symptoms

Children with ARI symptoms for whom advice or treatment was sought. ARI
symptoms consist of cough accompanied by (1) short, rapid breathing that is
chest related, and/or (2) difficult breathing that is chest related.
Sample: Children under age five years with symptoms of ARI in the two weeks
before the survey
Advice or treatment was sought for 56 percent of children under age five years with ARI symptoms in the two weeks
before the survey (Table 9.7); advice or treatment was sought the same or the next day for 39 percent of children (Table
9.8). Seeking advice or treatment ranges from 13 percent in Nagaland to 100 percent in Chandigarh and Goa. Seeking
advice or treatment the same day or the next day ranges from 11 percent in Nagaland to 100 percent in Chandigarh and
Goa.
9.4 FEVER
Fever is a symptom of malaria, but it is also associated with other childhood illnesses that may contribute to high levels of
malnutrition, morbidity, and mortality in young children.
Treatment of fever
Children with fever for whom advice or treatment was sought.
Sample: Children under age five years with fever in the two weeks before the
survey
Among children under age five years, 13 percent had fever in the two weeks before the survey. The prevalence of fever
peaks at 20 percent among Buddhist/Neo-Buddhist children, followed by 18 percent among children age 6-11 months
(Table 9.9). Eighty percent of children with fever were taken to a health facility or provider for advice or treatment, and
advice or treatment was sought the same day or the next day for 59 percent of children. Twenty-five percent of children
under age five years with fever were given antibiotic drugs.
9.5 DIARRHOEAL DISEASE

9.5.1 Prevalence of Diarrhoea
Mothers reported that 7 percent of children under age five years had diarrhoea in the two weeks before the survey (Table
9.10). Advice or treatment was sought for 76 percent of children under age five years who had diarrhoea in the two weeks
before the survey (Table 9.11).
The prevalence of diarrhoea in the two weeks preceding the survey among children below age 5 years is less than 10
percent in most of the districts of India. In only 29 districts is prevalence of diarrhoea more than 15 percent, which includes
4 districts in Bihar with more than 20 percent.
329
Map 9.2
330
 The prevalence of diarrhoea rises from 8 percent among children under age six months to 13 percent among those age
6-11 months, when complementary foods and other liquids are supposed to be introduced. Prevalence decreases to 10
percent at age 12-23 months, which is the time when children begin to walk and are at increased risk of contamination
from the environment (Figure 9.5).
 Differences by other characteristics are generally quite small.
Figure 9.5 Prevalence of Diarrhoea by Age

Percentage of children under age five years
13
10
8.0 7.3
6.7
5.3
4.3
<6 6-11 12-23 24-35 36-47 48-59 <60
Age in months
9.5.2 Treatment of Diarrhoea
Oral rehydration therapy

Children with diarrhoea are given increased fluids or a fluid made from a special
packet of oral rehydration salt (ORS) or gruel.
Sample: Children under age five years with diarrhoea in the two weeks before
the survey
Oral rehydration therapy (ORT) is a simple and effective way to reduce dehydration caused by diarrhoea. Sixty-eight
percent of children with diarrhoea received some form of ORT—ORS packets (61%) or gruel (34%) or increased fluids
(5%) (Figure 9.6). While 17 percent of children received antibiotics, 24 percent were given both zinc and ORS, which can
reduce the duration and severity of diarrhoea. Forty-five percent received continued feeding and ORT, as recommended.
Fifteen percent of children with diarrhoea did not receive any treatment.
Trends: The proportion of children with diarrhoea who received fluid from ORS packets increased from 51 percent in
2015-16 to 61 percent in 2019-21. The percentage of children who did not receive any treatment decreased from 18 percent
in 2015-16 to 15 percent in 2019-21.
331
Figure 9.6 Treatment of Diarrhoea
Percentage of children under age five years with
diarrhoea in the two weeks before the survey
Sought advice or treatment 76
Fluid from ORS packet 61
Gruel 34
Either ORS or gruel 67
Increased fluids 5.4
Any ORT 68
Zinc 31
ORS and zinc 24
Antibiotic drug 17
Continued feeding and ORT 45
Antimotility drug 4.8
Home remedy/herbal/other 7.5
No treatment 15

 Urban children with diarrhoea are more likely than rural children to receive fluid from an ORS packet (63% versus
60%) (Table 9.11).
 The use of ORS packets for the treatment of diarrhoea among the states/UTs ranges from 45 percent in Goa to 88
percent in Dadra & Nagar Haveli and Daman & Diu.
 Children in households in the lowest wealth quintile (67%) are less likely to be given some form of ORT than children
in households in the highest wealth quintile (73%).
Figure 9.7 Prevalence and Treatment of Childhood Illness

Percentage of children under age five years with symptoms of illness in the two weeks
before the survey and percentage with an illness for whom advice or treatment was
sought a from health facility or provider
With illness for whom advice or

With symptoms of illness
treatment was sought
80
76
56
13
7.3
2.8
ARI Fever Diarrhoea ARI Fever Diarrhoea
332
9.5.3 Feeding Practices
Appropriate feeding practices

Children with diarrhoea are given more liquids than usual, and as much food or
more food than usual.
Sample: Children under age five years with diarrhoea in the two weeks before
the survey
To reduce dehydration and minimise the effects of diarrhoea on nutritional status, mothers are encouraged to continue
normal feeding of children with diarrhoea and to increase the amount of fluids.
Only 5 percent of children under five years with diarrhoea in the two weeks before the survey were given more liquids
than usual, as recommended. Thirty-one percent received the same amount of liquids. Of greater concern, 59 percent of
children with diarrhoea were given less to drink and 5 percent were not given anything to drink (Figure 9.8). Only 30
percent of children with diarrhoea were fed according to the recommended practice of giving the same amount of food or
more food to the sick child. Sixty percent of children were given less food than usual, while 2 percent who had previously
been given food received no food during the diarrhoea.
For additional information on feeding practices during diarrhoea, see Table 9.13 and Table 9.14.
Figure 9.8 Feeding Practices during Diarrhoea

Percentage of children under age five years with diarrhoea
in the two weeks before the survey
0.7
Liquids given 5.4 31 36 23 4.6

(compared to
usual)
0.7
Food given 2.7 28 36 24 1.7 7.5

(compared to
usual)
More Same as usual Somewhat less Much less None Don't know Never gave food
9.5.4 Knowledge of ORS Packets
Ninety-four percent of women in India know about ORS packets for the treatment of diarrhoea (Table 9.15). Knowledge
of ORS packets is highest among Jain women (98%), followed closely by Christian women, women with 12 or more years
of schooling, and women in the wealthiest households (97% each).
333
9.6 DISPOSAL OF CHILDREN’S STOOLS
Safe disposal of children’s stools

The child’s last stools were put or rinsed into a toilet or latrine, buried, or the
child used a toilet or latrine.
Sample: Youngest child under age five years living with the mother
Proper disposal of children’s faeces is important to prevent the spread of disease. Only 38 percent of youngest children
under age five years living with their mother had their last stools disposed of appropriately (Table 9.16).
 Children’s stools are more likely to be disposed of appropriately in households with an improved toilet facility that is
not shared (47%) or a shared toilet (42%) than in households with an unimproved facility or no facility (32%).
 Children’s stools are much more likely to be disposed of appropriately in urban households (55%) than in rural
households (32%).
 Stools are disposed of appropriately for 50 percent of children of mothers with 12 or more years of schooling, compared
with only 25 percent of children of mothers with no schooling.
 Stools are appropriately disposed of for 66 percent of children in households belonging to the highest wealth quintile,
compared with only 17 percent of children in households in the lowest wealth quintile.
 The proportion of children whose stools are disposed of appropriately varies from 13 percent in Odisha and 20 percent
in Jharkhand and Assam to 83 percent in Kerala and 91 percent in Lakshadweep .
9.7 UTILIZATION OF INTEGRATED CHILD DEVELOPMENT SERVICES (ICDS)

Established in 1975 under India’s largest ICDS programme, anganwadi centres (AWCs) provide health, nutrition, and
education services for children from birth to six years of age, as well as nutritional and health services for pregnant and
breastfeeding mothers. The programme is implemented through a network of community-level anganwadi centres.
Sixty-eight percent of children under age six years receive one or more services from an AWC (Table 9.18). The provision
of food supplements is the service most likely to be used (62%), but 51-60 percent receive growth monitoring,
immunizations, health check-ups, and early childhood care or preschool services.
 Rural children are more likely to receive any service from an AWC (72%) than urban children (56%).
 The proportion of children receiving supplementary food from an anganwadi centre ranges from 35 percent in
Arunachal Pradesh to 87 percent in Odisha.
334
9.7.1 Utilization of ICDS by Pregnant and Lactating Mothers
Pregnant and lactating mothers can receive supplementary food from an anganwadi centre. Anganwadi centres also monitor
the health status of mothers during pregnancy and breastfeeding and provide them with health and nutritional education.
Only 30 percent of mothers did not receive any AWC services during pregnancy for their children under six years, and 34
percent did not receive any service from an AWC while breastfeeding children born in the six years preceding the survey.
Pregnant and breastfeeding mothers were more likely to have received supplementary food (66% and 64%, respectively)
than health check-ups (63% and 58%, respectively) or health and nutrition education (60% and 56%, respectively).
 Services during pregnancy and while breastfeeding are utilized more for births to women in rural areas than urban
areas.
 The percentage of women receiving supplementary food during pregnancy and while breastfeeding is higher in almost
all states than the percentage receiving health check-ups or health and nutrition education in 28 of the 36 states/UTs.
335
LIST OF TABLES
For more information on low birth weight, vaccinations, childhood illness, the disposal of children’s stools, and the
utilization of ICDS services, see the following tables:
Tables
Table 9.1 Child's weight and size at birth
Table 9.2 Child's weight and size at birth by state/union territory
Table 9.3 Vaccinations by source of information
Table 9.4 Vaccinations by background characteristics
Table 9.5 Vaccinations by state/union territory
Table 9.6 Trends over time in vaccinations
Table 9.7 Prevalence and treatment of symptoms of ARI
Table 9.8 Prevalence and treatment of symptoms of ARI by state/union territory
Table 9.9 Prevalence and treatment of symptoms of fever
Table 9.10 Prevalence of diarrhoea
Table 9.11 Diarrhoea treatment
Table 9.12 Diarrhoea treatment by state/union territory
Table 9.13 Feeding practices during diarrhoea
Table 9.14 Feeding practices during diarrhoea by state/union territory
Table 9.15 Knowledge of ORS packets
Table 9.16 Disposal of children's stools
Table 9.17 Disposal of children's stools by state/union territory
Table 9.18 Indicators of utilization of ICDS services
Table 9.19 Indicators of utilization of ICDS services by state/union territory
Table 9.20 Utilization of ICDS services during pregnancy and while breastfeeding
Table 9.21 Women’s utilization of ICDS services during pregnancy and while
breastfeeding by state/union territory
336
Table 9.1 Child's weight and size at birth
Percent distribution of live births in the 5 years preceding the survey by mother's estimate of baby's size at birth, percentage of live births
in the 5 years preceding the survey that have a reported birth weight, and among live births in the 5 years preceding the survey with a
reported birth weight, percentage less than 2.5 kg, according to background characteristics, India, 2019-2021
Among
births with
Percentage
Percent distribution of all live births a reported
of all live
by size of child at birth birth weight1
births whose
Smaller Don't birth weight Percentage
Very than Average know/ Number was less than Number
Background characteristic small average or larger missing Total of births reported1 2.5 kg of births

<20 3.3 8.9 86.5 1.2 100.0 28,981 90.6 20.5 26,263
20-34 2.5 7.9 88.5 1.2 100.0 193,795 90.8 17.9 176,012
35-49 2.9 7.8 87.3 2.0 100.0 8,095 85.8 18.8 6,947
Birth order
1 2.8 8.5 87.9 0.8 100.0 91,210 94.1 19.4 85,868
2-3 2.4 7.7 88.7 1.2 100.0 112,337 90.7 17.2 101,862
4-5 2.7 7.7 87.2 2.4 100.0 21,931 80.5 18.0 17,655
6 or more 3.2 8.0 84.8 3.9 100.0 5,392 71.2 19.5 3,838
Residence
Urban 2.3 8.1 88.8 0.8 100.0 61,528 94.1 17.4 57,872
Rural 2.8 8.0 87.9 1.3 100.0 169,342 89.4 18.6 151,350
Mother's schooling
No schooling 3.0 8.0 86.3 2.7 100.0 49,597 78.9 20.1 39,140
<5 years complete 3.0 9.3 85.8 1.9 100.0 11,099 86.9 21.1 9,647
5-7 years complete 2.9 8.6 87.3 1.3 100.0 33,379 90.2 19.6 30,113
8-9 years complete 3.0 8.8 87.3 0.9 100.0 42,815 92.5 19.3 39,604
10-11 years complete 2.6 7.7 89.2 0.6 100.0 30,753 95.7 17.7 29,431
12 or more years complete 1.9 7.1 90.6 0.4 100.0 63,227 96.9 15.5 61,288
Religion
Hindu 2.7 8.3 88.0 1.1 100.0 183,338 91.1 18.5 167,051
Muslim 2.5 6.9 89.2 1.5 100.0 37,495 87.7 16.8 32,879
Christian 2.0 8.0 87.9 2.2 100.0 4,784 91.1 15.8 4,359
Sikh 3.2 6.5 89.4 0.9 100.0 2,890 95.2 20.8 2,752
Buddhist/Neo-Buddhist 1.9 8.5 89.2 0.4 100.0 1,098 97.0 19.0 1,065
Jain 0.2 4.7 94.7 0.3 100.0 329 96.7 14.0 318
Other 2.5 9.3 85.6 2.6 100.0 937 85.4 17.1 800
Caste/tribe
Scheduled caste 2.9 8.4 87.4 1.4 100.0 53,756 88.8 19.5 47,744
Scheduled tribe 2.5 7.7 88.1 1.7 100.0 23,141 89.7 18.8 20,754
Other backward class 2.5 7.6 88.8 1.1 100.0 100,408 90.5 17.8 90,913
Other 2.7 8.4 88.0 0.9 100.0 51,406 93.3 17.3 47,977
Don't know 3.6 8.6 85.6 2.2 100.0 2,159 84.9 25.1 1,834
Continued…
337
Table 9.1 Child's weight and size at birth—Continued
reported birth weight, percentage less than 2.5 kg, according to background characteristics, India, 2019-2021
Among
Percentage births with
of all live
births whose
Smaller Don't birth weight Percentage
Very than Average know/ Number was less than Number
Background characteristic small average or larger missing Total of births reported1 2.5 kg of births
Wealth quintile
Lowest 3.5 8.4 85.7 2.5 100.0 56,771 81.3 20.9 46,179
Second 3.0 8.5 87.3 1.3 100.0 50,170 89.7 19.6 45,017
Middle 2.4 7.9 88.9 0.7 100.0 45,101 93.6 17.5 42,222
Fourth 2.2 7.6 89.6 0.6 100.0 42,505 95.6 17.0 40,638
Highest 1.6 7.2 90.8 0.4 100.0 36,323 96.8 15.4 35,166
Mother's smoking status

Smokes cigarettes/tobacco 3.2 9.7 84.7 2.4 100.0 7,663 84.5 21.0 6,471
Does not smoke
cigarettes/tobacco 2.6 7.9 88.3 1.2 100.0 223,207 90.8 18.2 202,751
Total 2.6 8.0 88.2 1.2 100.0 230,870 90.6 18.2 209,222
1
Based on either a written record or the mother's recall
338
Table 9.2 Child's weight and size at birth by state/union territory
reported birth weight, percentage less than 2.5 kg, according to state/union territory, India, 2019-2021
Among
Percentage of births with
all live births
whose birth
Very Smaller than Average or Don't know/ weight was Percentage
State/union territory small average larger missing Total reported1 less than 2.5 kg
India 2.6 8.0 88.2 1.2 100.0 90.6 18.2
North
Chandigarh 0.0 8.0 91.3 0.7 100.0 96.8 16.7
Delhi 3.4 9.7 86.2 0.7 100.0 94.0 22.1
Haryana 1.7 7.2 90.3 0.8 100.0 94.7 20.5
Jammu & Kashmir 1.4 4.6 92.4 1.7 100.0 90.6 10.7
Ladakh 1.2 4.9 91.6 2.3 100.0 92.4 11.6
Punjab 3.1 6.6 88.7 1.6 100.0 93.7 22.4
Rajasthan 2.0 6.6 90.5 0.9 100.0 94.1 17.7
Uttarakhand 3.4 9.0 86.5 1.1 100.0 86.4 17.7
Central
Chhattisgarh 2.2 9.1 88.4 0.3 100.0 95.4 15.9
Madhya Pradesh 3.0 9.1 86.8 1.1 100.0 93.2 20.5
Uttar Pradesh 2.7 8.0 87.7 1.6 100.0 84.7 20.2
East
Bihar 4.0 8.1 85.3 2.7 100.0 76.0 16.8
Jharkhand 1.2 6.1 91.0 1.7 100.0 85.3 15.6
Odisha 2.7 10.8 85.8 0.6 100.0 97.8 19.2
West Bengal 4.1 8.3 87.1 0.6 100.0 96.5 19.0
Northeast
Assam 1.3 8.7 88.8 1.3 100.0 92.1 16.1
Manipur 2.3 8.4 86.5 2.9 100.0 84.1 7.2
Meghalaya 1.1 8.7 84.2 6.0 100.0 84.1 11.7
Mizoram 0.5 4.6 93.2 1.7 100.0 92.1 4.0
Nagaland 0.6 6.0 88.5 4.9 100.0 54.1 4.7
Sikkim 1.3 8.8 89.7 0.1 100.0 97.6 9.8
Tripura 4.6 14.4 78.7 2.3 100.0 90.1 19.7
West
Daman & Diu 2.0 8.7 86.9 2.3 100.0 93.8 20.8
Goa 1.0 7.3 91.6 0.0 100.0 99.3 14.0
Gujarat 3.2 8.4 87.5 0.9 100.0 96.8 18.5
Maharashtra 2.2 10.8 86.2 0.8 100.0 96.3 20.0
Continued…
339
Table 9.2 Child's weight and size at birth by state/union territory—Continued
reported birth weight, percentage less than 2.5 kg, according to state/union territory, India, 2019-2021
Among
births with
Percentage of
all live births
whose birth
Very Smaller than Average or Don't know/ weight was Percentage
State/union territory small average larger missing Total reported1 less than 2.5 kg
South
Andhra Pradesh 2.0 6.5 91.1 0.4 100.0 98.2 16.2
Karnataka 1.4 4.3 93.8 0.5 100.0 98.0 15.9
Kerala 0.6 6.1 93.2 0.2 100.0 99.1 16.3
Lakshadweep 0.0 2.1 97.9 0.0 100.0 99.6 9.7
Puducherry 0.6 7.7 91.7 0.0 100.0 99.2 13.7
Tamil Nadu 1.8 7.7 90.4 0.1 100.0 99.2 17.0
Telangana 1.1 6.2 92.4 0.3 100.0 98.1 13.9
1
Based on either a written record or the mother's recall
340
Table 9.3 Vaccinations by source of information
Percentage of children age 12-23 months and children age 24-35 months who received specific vaccines at any time before the survey, by
source of information (vaccination card or mother's report), and percentage who received specific vaccines, by the appropriate age, India,
2019-21
Children age 12-23 months Children age 24-35 months

Vaccinated by Vaccinated by
Vaccination Mother's Either appropriate Vaccination Mother's Either appropriate
Vaccine card1 report source age2,3,4 card1 report source age2,3,4
BCG 84.2 11.0 95.2 94.8 80.0 14.4 94.4 93.3
Polio
0 (birth dose) 76.4 9.1 85.5 85.2 72.3 11.8 84.2 83.3
1 82.6 9.7 92.4 91.8 78.6 12.7 91.4 89.9
2 80.8 7.7 88.5 87.5 77.3 10.5 87.8 85.6
3 77.2 3.3 80.5 78.6 74.6 4.9 79.5 76.1
DPT
1 83.3 10.4 93.6 92.9 79.2 13.7 93.0 90.9
2 81.5 9.8 91.2 90.0 78.1 13.1 91.2 88.4
3 78.3 8.4 86.7 82.7 75.8 11.6 87.4 79.9
flPV
1 68.2 8.2 76.4 75.7 58.5 10.8 69.3 67.4
2 55.1 6.1 61.2 59.2 44.4 8.7 53.1 49.5
Hepatitis B
0 (birth dose) 61.3 6.1 67.4 66.1 57.5 8.2 65.8 64.0
1 81.9 9.7 91.5 90.9 77.3 12.8 90.1 88.4
2 79.9 8.7 88.6 87.6 76.0 11.8 87.7 85.4
3 76.5 7.4 83.9 81.4 73.5 10.3 83.8 79.4
Penta
1 79.6 9.1 88.7 88.2 74.8 12.1 86.9 85.4
2 77.8 8.2 86.0 85.0 73.7 11.1 84.7 82.7
3 74.6 6.5 81.1 78.7 71.4 9.1 80.5 76.4
Penta or DPT
1 83.3 10.4 93.6 93.1 79.2 13.7 93.0 91.3
2 81.5 9.8 91.3 90.3 78.1 13.1 91.2 88.9
3 78.5 8.4 86.9 84.5 76.0 11.6 87.5 83.3
Rotavirus
1 39.5 4.6 44.0 43.5 30.7 6.1 36.9 35.9
2 37.2 3.7 40.8 40.0 28.7 5.1 33.7 32.2
3 33.9 2.5 36.4 35.3 26.2 3.7 29.9 28.3
JE
1 35.0 3.3 38.3 38.3 35.7 5.1 40.9 40.4
2 15.2 1.7 16.9 16.9 27.1 3.3 30.4 28.3
Measles containing
vaccine (MCV)
1 79.9 8.0 87.9 78.1 77.3 11.2 88.5 75.7
2 na na na na 51.7 6.9 58.6 55.9
Continued…
341
Table 9.3 Vaccinations by source of information—Continued
Percentage of children age 12-23 months and children age 24-35 months who received specific vaccines at any time before the survey, by
source of information (vaccination card or mother's report), and percentage who received specific vaccines, by the appropriate age, India,
2019-21
Children age 12-23 months Children age 24-35 months

Vaccinated by Vaccinated by
Vaccination Mother's Either appropriate Vaccination Mother's Either appropriate
Vaccine card1 report source age2,3,4 card1 report source age2,3,4
Penta or Hepatitis B
1 81.9 9.7 91.5 91.0 77.3 12.8 90.1 88.5
2 79.9 8.7 88.7 87.7 76.0 11.8 87.8 85.5
3 76.6 7.4 84.0 81.8 73.6 10.3 83.9 79.8
All basic vaccinations5 74.2 2.3 76.5 67.4 72.0 3.6 75.5 63.5
No vaccinations 0.6 3.0 3.6 na 0.8 3.7 4.4 na
Number of children 37,085 6,161 43,247 43,247 35,827 8,088 43,916 43,916
Note: Children are considered to have received the vaccine if it was either written on the child's vaccination card or reported by the mother. For children
whose vaccination information is based on the mother's report, the date of vaccination is not collected. The proportions of vaccinations given during the first
and second years of life are assumed to be the same as for children with a written record of vaccination.
na = Not applicable
1 Vaccination card or other document where vaccinations are recorded
2 Received by age 12 months for all vaccines except MCV 2, which should be received by age 18 months and Japanese encephalitis by 24 months
3
For children whose vaccination information is based on the mother’s report, date of vaccination is not collected. The proportions of vaccinations given during
the first and second years of life are assumed to be the same as for children with a written record of vaccinations.
4
For children age 12-23 months, BCG, MCV/measles/MMR/MR, and three doses each of DPT/Penta and polio vaccine (excluding polio vaccine given at birth).
For children age 24-35 months, BCG, two doses of MCV/measles/MMR/MR, four doses of hepatitis B, three doses each of DPT/Penta and polio vaccine
(excluding polio vaccine given at birth), three doses of rotavirus vaccine, and two doses of Japanese encephalitis vaccine.
5 BCG, MCV/Measles/MMR/MR , and three doses each of DPT/Penta and polio vaccine (excluding polio vaccine given at birth)
342
Table 9.4 Vaccinations by background characteristics
Percentage of children age 12-23 months who received specific vaccines at any time before the survey (according to a vaccination card or the mother's report), and percentage with a vaccination
card seen, by background characteristics, India, 2019-21
Fully All age Percentage

Hepatitis B1 Penta or DPT Polio2 MCV/ vaccinated appropriate No with a Number
Background Measles/ (all basic vacci- vacci- vaccination of
characteristic BCG 0 1 2 3 1 2 3 0 1 2 3 MMR/MR vaccinations)3 nations4 nations5 card seen children
Sex
Male 95.5 67.6 91.9 88.9 84.3 94.0 91.6 87.3 85.7 92.6 88.8 80.8 88.3 76.9 56.4 3.2 86.0 22,489
Female 94.9 67.2 91.2 88.3 83.4 93.2 90.9 86.4 85.3 92.1 88.1 80.0 87.5 76.0 55.6 3.9 85.4 20,758
Birth order
1 96.1 69.5 92.8 90.1 86.2 94.6 92.9 89.3 87.7 93.3 90.2 82.5 90.3 79.2 58.9 3.0 87.5 17,330
2-3 95.3 67.5 91.3 88.4 83.5 93.6 91.1 86.3 85.5 92.4 88.3 80.2 87.7 76.1 55.8 3.5 85.4 21,172
4-5 92.4 60.6 88.9 85.1 78.9 91.3 87.8 82.0 78.0 89.8 84.3 75.6 81.9 69.9 47.8 5.3 82.2 3,850
6 or more 88.5 54.9 83.7 78.6 70.4 85.6 80.6 73.7 72.7 84.1 77.8 67.9 74.5 62.6 40.1 9.4 74.8 895
Residence
343
Urban 94.7 69.3 90.8 87.6 83.0 92.5 90.1 86.2 87.4 91.7 87.7 79.2 87.2 75.5 56.7 4.4 85.1 11,632
Rural 95.4 66.7 91.8 89.0 84.2 94.1 91.7 87.1 84.8 92.6 88.7 80.9 88.2 76.8 55.8 3.3 86.0 31,614
Mother's schooling
No schooling 92.0 61.4 87.6 83.8 77.9 89.9 86.4 80.8 78.9 88.3 82.6 73.0 81.1 68.2 48.0 6.1 79.6 8,236
<5 years complete 94.2 66.8 92.0 89.0 83.3 93.6 90.7 85.0 82.4 92.6 89.4 80.0 86.9 75.7 54.7 3.7 85.6 1,886
5-7 years complete 94.8 65.9 91.0 87.8 82.9 93.1 90.3 85.8 84.6 92.0 87.4 80.0 86.9 76.2 55.0 3.9 86.1 6,012
8-9 years complete 96.0 68.7 92.6 89.9 85.1 94.5 92.6 87.8 86.8 93.2 89.3 81.4 89.1 77.3 57.4 2.9 86.8 8,261
10-11 years complete 96.6 70.0 92.5 90.0 86.5 94.8 93.1 89.7 88.1 94.4 91.9 84.4 90.7 80.8 59.7 2.5 88.6 5,907
12 or more years
complete 96.5 70.1 93.1 90.6 86.3 95.2 93.3 89.6 88.5 93.7 90.5 83.0 90.9 79.5 59.2 2.8 87.6 12,945
Religion
Hindu 95.6 68.2 92.2 89.4 84.8 94.2 92.1 87.8 86.3 92.9 89.2 81.3 89.0 77.4 57.0 3.2 86.3 34,407
Muslim 93.4 62.8 88.7 84.9 79.5 90.7 87.0 82.1 81.0 89.5 84.5 75.8 82.5 71.1 49.8 5.4 82.6 6,974
Christian 94.2 69.2 89.8 86.0 81.9 92.3 90.5 86.2 83.5 91.5 88.0 81.2 87.4 78.0 58.0 4.4 86.9 857
Sikh 96.3 83.3 93.7 90.5 86.4 95.7 94.3 91.5 91.7 94.3 90.9 82.5 90.5 79.9 70.8 2.8 86.6 538
Buddhist/Neo-Buddhist 90.7 50.5 89.6 85.3 80.7 92.5 87.3 84.9 85.1 91.7 86.2 81.6 88.1 75.4 44.4 7.2 85.1 203
Jain 92.7 77.2 82.0 79.9 78.6 92.7 92.7 91.4 91.7 92.7 90.5 87.1 89.7 84.1 58.0 7.3 89.6 86
Other 96.2 63.0 93.3 92.1 87.8 94.4 93.7 90.7 81.8 92.2 89.9 87.0 91.1 84.3 57.6 3.0 90.3 181
Continued…
Table 9.4 Vaccinations by background characteristics—Continued
Percentage of children age 12-23 months who received specific vaccines at any time before the survey (according to a vaccination card or the mother's report), and percentage with a vaccination
card seen, by background characteristics, India, 2019-21
Fully All age Percentage

Hepatitis B1 Penta or DPT Polio2 MCV/ vaccinated appropriate No with a Number
Background Measles/ (all basic vacci- vacci- vaccination of
characteristic BCG 0 1 2 3 1 2 3 0 1 2 3 MMR/MR vaccinations)3 nations4 nations5 card seen children
Caste/tribe
Scheduled caste 95.3 67.9 91.9 88.9 84.5 93.9 91.7 87.3 85.3 92.7 88.6 80.5 88.5 76.7 56.5 3.4 85.5 9,999
Scheduled tribe 94.3 67.8 89.7 87.2 82.0 92.9 90.3 85.6 84.5 92.2 87.3 80.4 86.7 76.5 57.7 4.0 87.1 4,326
Other backward class 95.4 68.3 92.1 89.2 84.5 93.9 91.7 87.4 86.0 92.6 89.0 81.0 88.3 77.0 56.7 3.5 86.0 18,724
Other 95.2 65.5 91.1 88.0 83.2 93.3 90.7 86.2 85.3 91.6 87.9 79.7 87.3 75.6 53.8 3.8 85.3 9,792
Don't know 95.5 60.1 88.7 86.9 77.5 90.6 87.8 81.2 81.2 91.3 84.7 73.9 84.6 67.3 44.7 3.0 74.7 406
Wealth quintile
Lowest 93.4 61.5 89.2 85.5 79.9 91.6 88.5 83.1 79.1 90.3 85.2 75.8 84.0 71.0 48.6 4.6 82.3 10,335
Second 94.7 67.1 91.1 88.1 82.7 93.3 90.9 85.9 84.8 91.5 87.5 79.6 87.1 75.4 55.6 3.9 85.4 9,238
Middle 96.0 69.1 92.8 90.1 86.5 94.6 92.7 89.2 87.3 93.7 90.3 83.1 89.8 79.7 58.7 3.2 87.6 8,590
344
Fourth 96.6 70.1 92.4 90.0 85.6 94.9 92.5 88.2 88.9 93.9 90.2 83.0 89.8 79.3 60.0 2.8 87.2 8,110
Highest 96.0 71.3 93.1 90.4 86.1 94.5 92.7 89.4 89.7 93.2 90.2 82.3 90.5 78.7 59.4 3.1 87.3 6,974
Total 95.2 67.4 91.5 88.6 83.9 93.6 91.3 86.9 85.5 92.4 88.5 80.5 87.9 76.5 56.0 3.6 85.8 43,247
Note: Children are considered to have received the vaccine if it was either written on the child's vaccination card or reported by the mother. For children whose vaccination information is based on the mother's report,
the date of vaccination is not collected. The proportions of vaccinations given during the first and second years of life are assumed to be the same as for children with a written record of vaccination.
1
Hepatitis B 0 is the hepatitis vaccination given at birth
2 Polio 0 is the polio vaccination given at birth
3
BCG, MCV/ Measles/MMR/MR, and three doses each of DPT/Penta and polio vaccine (excluding polio vaccine given at birth)
4 BCG, MCV/ Measles/ MMR/MR, four doses of hepatitis B, and three doses each of DPT/Penta and polio vaccine (excluding polio vaccine given at birth)
5
Child has not received any vaccinations listed in the table
Table 9.5 Vaccinations by state/union territory
Percentage of children age 12-23 months who received specific vaccines at any time before the survey (according to a vaccination card or the mother's report), and percentage with a
vaccination card seen, by state/union territory, India, 2019-21
Fully
vaccinated All age Percentage
MCV/ (all basic appropriate No with a
Hepatitis B1 Penta or DPT Polio2
Measles/ vacci- vacci- vacci- vaccination
State/union territory BCG 0 1 2 3 1 2 3 0 1 2 3 MMR/MR nations)3 nations4 nations5 card seen
India 95.2 67.4 91.5 88.6 83.9 93.6 91.4 87.0 85.5 92.4 88.5 80.5 87.9 76.6 56.0 3.6 85.8
North
Chandigarh 96.8 87.3 90.5 90.5 84.9 93.4 93.4 87.9 93.6 92.7 89.3 80.9 87.9 80.9 74.8 3.2 93.9
Delhi 96.7 75.1 91.1 87.8 81.9 93.7 90.9 85.0 91.2 92.0 88.0 80.2 90.1 76.0 60.2 3.3 89.3
Haryana 94.9 66.6 93.7 90.6 87.4 94.0 92.2 88.7 85.3 90.2 86.3 80.6 89.4 76.9 55.6 4.0 87.1
Himachal Pradesh 98.2 92.4 97.3 97.2 96.3 98.0 97.3 96.1 95.8 97.0 96.0 90.1 95.9 89.2 84.7 1.8 87.8
Jammu & Kashmir 95.1 88.1 94.2 92.7 91.4 94.6 94.0 92.8 92.8 93.5 92.7 87.6 91.7 86.2 81.3 4.3 85.7
Ladakh 99.1 89.8 96.3 96.3 94.1 99.1 99.1 95.0 96.9 98.0 96.6 88.2 92.9 88.2 81.2 0.9 88.2
Punjab 95.3 85.8 92.0 89.3 85.4 93.7 92.1 88.5 92.6 93.4 89.1 79.7 88.1 76.2 70.8 3.7 83.9
345
Rajasthan 95.6 75.0 93.9 91.4 88.2 94.6 92.5 89.4 90.8 94.8 91.0 84.6 91.1 80.5 66.0 2.6 86.5
Uttarakhand 95.2 68.5 92.9 90.6 86.6 94.8 93.9 89.7 86.8 93.2 91.2 84.0 90.9 81.1 60.1 3.6 85.5
Central
Chhattisgarh 96.4 70.6 94.0 90.8 85.9 95.2 93.2 87.5 90.6 94.6 91.0 84.2 90.2 79.7 58.8 2.5 91.0
Madhya Pradesh 95.4 81.9 92.9 89.8 85.0 94.0 92.4 87.9 91.3 92.4 88.8 81.4 88.1 77.4 68.1 3.6 86.7
Uttar Pradesh 93.2 50.4 88.6 84.5 78.3 90.9 87.6 81.3 77.3 88.3 83.4 74.3 83.4 69.9 39.3 4.9 83.5
East
Bihar 95.5 68.2 91.8 88.5 82.3 93.6 90.9 85.2 81.1 92.3 87.3 75.5 85.7 71.0 52.0 3.2 76.5
Jharkhand 95.0 61.3 91.9 88.5 84.4 92.5 89.7 86.0 77.3 88.6 84.4 76.7 86.9 74.1 49.7 3.8 90.5
Odisha 97.3 88.6 97.0 96.4 94.4 97.3 96.8 95.0 93.8 96.3 95.0 91.7 95.9 90.7 83.2 2.1 96.2
West Bengal 98.6 70.2 95.6 94.3 92.0 97.7 96.9 95.3 88.8 97.6 95.9 90.8 94.4 88.2 63.7 0.8 93.2
Continued…
Table 9.5 Vaccinations by state/union territory—Continued
Percentage of children age 12-23 months who received specific vaccines at any time before the survey (according to a vaccination card or the mother's report), and percentage with a
vaccination card seen, by state/union territory, India, 2019-21
Fully
vaccinated All age Percentage
MCV/ (all basic appropriate No with a
Hepatitis B1 Penta or DPT Polio2
Measles/ vacci- vacci- vacci- vaccination
State/union territory BCG 0 1 2 3 1 2 3 0 1 2 3 MMR/MR nations)3 nations4 nations5 card seen
Northeast
Arunachal Pradesh 87.9 65.1 83.5 77.2 73.0 86.6 82.2 77.6 76.3 80.6 75.2 69.0 80.7 64.9 48.3 9.4 81.8
Assam 92.5 53.9 85.8 81.5 75.1 90.7 87.4 82.5 70.5 89.1 84.3 73.4 82.8 66.7 37.7 5.2 88.3
Manipur 95.4 48.1 91.8 87.4 80.0 93.4 88.4 81.5 62.6 95.1 89.1 75.6 76.7 68.8 39.2 2.8 85.8
Meghalaya 89.3 46.5 77.6 73.2 65.7 82.2 78.9 73.5 58.8 84.1 77.8 68.5 72.5 64.0 34.3 9.4 77.0
Mizoram 83.4 59.8 80.5 79.1 76.4 85.5 84.4 80.9 65.0 81.9 80.2 76.2 81.0 72.7 55.0 13.6 83.7
Nagaland 85.5 40.8 81.0 73.2 66.4 84.2 79.7 71.7 59.5 85.9 78.4 65.4 74.0 57.9 29.3 7.2 79.8
Sikkim 96.6 87.6 94.2 94.2 89.0 95.1 95.1 93.3 92.2 93.2 93.2 89.0 90.5 82.5 73.1 3.1 90.5
Tripura 94.7 61.2 93.1 88.1 82.5 94.6 91.0 85.9 69.9 88.3 82.4 73.4 86.3 69.5 48.9 2.0 87.0
West
346
and Daman & Diu 98.1 69.9 95.6 93.6 93.1 97.8 97.2 97.2 92.0 98.0 97.5 96.1 96.2 94.9 67.7 0.7 96.7
Goa 97.9 80.2 96.5 95.7 92.8 97.9 97.1 90.8 92.0 97.9 97.9 88.3 92.9 81.9 69.3 2.1 88.0
Gujarat 94.7 62.8 92.3 88.5 84.9 92.6 89.3 86.2 85.4 93.5 88.4 79.6 86.8 76.4 52.5 4.4 86.6
Maharashtra 93.8 50.5 86.0 81.9 75.6 92.4 89.2 83.6 86.3 92.0 87.0 79.0 85.0 73.6 42.1 5.2 83.8
South
Andaman & Nicobar
Islands 98.2 59.5 92.1 89.3 85.4 97.8 97.5 92.8 92.5 96.1 89.5 80.9 84.0 79.9 44.7 1.8 80.5
Andhra Pradesh 94.6 79.5 91.8 89.9 85.3 93.0 92.4 88.5 91.8 91.1 87.4 75.0 87.1 73.2 61.0 4.7 76.8
Karnataka 97.1 84.5 93.0 91.7 88.8 95.9 94.4 92.3 93.6 95.5 93.0 87.5 91.4 84.3 72.7 2.5 90.8
Kerala 97.6 81.4 93.7 89.9 83.0 95.8 92.2 85.9 92.5 95.2 90.0 84.1 88.9 78.4 65.6 1.8 88.6
Lakshadweep 94.2 94.2 88.9 88.9 88.9 91.0 91.0 91.0 94.2 91.0 88.5 86.1 91.0 86.1 84.0 5.8 94.0
Puducherry 96.4 81.1 96.2 96.0 88.8 99.4 99.3 92.3 99.8 97.9 97.1 87.3 95.6 82.3 69.1 0.1 91.5
Tamil Nadu 97.6 84.9 95.7 95.1 92.3 97.5 96.8 94.9 96.9 96.6 95.6 91.5 95.8 89.4 78.7 1.5 95.1
Telangana 93.5 73.9 90.5 89.0 86.4 92.5 91.5 89.3 88.1 90.5 87.1 81.6 90.6 79.1 62.5 5.4 87.0
Note: Children are considered to have received the vaccine if it was either written on the child's vaccination card or reported by the mother. For children whose vaccination information is based on the mother's
report, the date of vaccination is not collected. The proportions of vaccinations given during the first and second years of life are assumed to be the same as for children with a written record of vaccination.
1
3 BCG, MCV/Measles/MMR/MR, and three doses each of DPT/Penta and polio vaccine (excluding polio vaccine given at birth)
4 BCG, MCV/Measles/MMR/MR, four doses of hepatitis B, and three doses each of DPT/Penta and polio vaccine (excluding polio vaccine given at birth)
5
Child has not received any vaccinations listed in the table
Table 9.6 Trends over time in vaccinations
Percentage of children age 12-23 months who received specific vaccines at any time before the
survey (according to a vaccination card or the mother's report), and percentage with a vaccination
card seen, by residence, India
Urban Rural Total

Vaccinations given any NFHS-5 NFHS-4 NFHS-5 NFHS-4 NFHS-5 NFHS-4
time before the survey (2019-21) (2015-16) (2019-21) (2015-16) (2019-21) (2015-16)
BCG 94.7 93.2 95.4 75.1 95.2 78.1

DPT 11 92.5 90.3 94.1 73.0 93.6 76.0
DPT 21 90.2 86.7 91.8 62.6 91.4 66.7
DPT 31 86.1 80.2 87.4 50.4 87.0 55.3
Polio 02 87.4 83.8 84.8 41.3 85.5 48.4
Polio 1 91.7 91.9 92.6 92.5 92.4 93.1
Polio 2 87.7 87.1 88.7 88.0 88.5 88.8
Polio 3 79.2 73.4 80.9 76.5 80.5 78.2
Hepatitis B 03 69.3 70.7 66.7 63.6 67.4 65.6
Hepatitis B 11 90.8 84.1 91.8 81.8 91.5 82.5
Hepatitis B 21 87.6 78.5 89.0 76.6 88.6 77.1
Hepatitis B 31 83.0 63.3 84.2 62.5 83.9 62.8
MCV/Measles/MMR/MR 87.2 83.2 88.2 80.3 87.9 81.1
All basic vaccinations4 75.5 63.9 77.0 61.3 76.6 62.0
No vaccinations 4.4 5.1 3.3 6.4 3.6 6.0
Percentage with a
vaccination card seen 85.1 65.3 86.0 62.4 85.8 63.2

1
For NFHS-5, Penta is included in this row. Penta was not included in the NFHS-4 questionnaire, so Penta is
not included in the NFHS-4 vaccination coverage for DPT/Hepatitis.
3
4
BCG, MCV/Measles/MMR/MR, and three doses each of DPT/Penta and polio vaccine (excluding polio vaccine
given at birth)
347
Table 9.7 Prevalence and treatment of symptoms of ARI
Among children under age 5 years, percentage who had symptoms of acute respiratory infection (ARI) in the 2
weeks preceding the survey and among children with symptoms of ARI in the 2 weeks preceding the survey,
percentage for whom advice or treatment was sought from a health facility or provider, by background
Among children under Among children under age 5 years

age of 5 years with symptoms of ARI
Percentage for Percentage for
Percentage whom advice or whom advice or
with treatment was treatment was
symptoms Number of sought from a health sought the same Number of
Background characteristic of ARI1 children facility or provider2 day or the next day children
Age in months
<6 3.0 22,624 48.3 32.8 682
6-11 3.7 21,869 62.1 44.4 807
12-23 3.3 43,247 59.5 41.2 1,429
24-35 2.7 43,916 55.0 38.7 1,193
36-47 2.5 44,075 53.5 36.6 1,104
48-59 2.1 46,503 55.7 37.6 983
Sex
Male 3.0 115,196 57.2 39.8 3,480
Female 2.5 107,037 54.5 37.5 2,718
Residence
Urban 2.3 59,780 55.8 42.5 1,378
Rural 3.0 162,452 56.1 37.8 4,820
Mother's schooling
No schooling 2.9 46,918 56.6 36.1 1,354
<5 years complete 3.8 10,615 64.5 47.1 408
5-7 years complete 2.9 31,983 54.4 36.7 912
8-9 years complete 2.8 41,125 58.3 41.1 1,160
10-11 years complete 2.7 29,804 52.6 36.4 814
12 or more years complete 2.5 61,788 54.6 39.8 1,549
Religion
Hindu 2.8 176,335 55.4 38.8 4,927
Muslim 2.8 36,163 60.9 38.8 1,000
Christian 2.6 4,651 49.1 38.8 121
Sikh 3.0 2,801 50.4 44.5 85
Buddhist/Neo-Buddhist 3.9 1,064 60.3 43.8 42
Jain 2.0 323 9.3 15.6 7
Other 1.7 896 38.5 24.5 15
Caste/tribe
Scheduled caste 3.0 51,395 56.9 39.9 1,551
Scheduled tribe 2.4 22,135 49.8 35.0 532
Other backward class 2.8 96,762 55.2 38.3 2,676
Other 2.8 49,900 59.5 40.2 1,382
Don't know 2.7 2,042 47.7 35.1 56
Continued…
348
Table 9.7 Prevalence and treatment of symptoms of ARI—Continued
Among children under age 5 years, percentage who had symptoms of acute respiratory infection (ARI) in the 2
weeks preceding the survey and among children with symptoms of ARI in the 2 weeks preceding the survey,
percentage for whom advice or treatment was sought from a health facility or provider, by background
Among children under Among children under age 5 years

age of 5 years with symptoms of ARI
Percentage whom advice or whom advice or
with treatment was treatment was
symptoms Number of sought from a health sought the same Number of
Background characteristic of ARI1 children facility or provider2 day or the next day children
Mother's smoking status

Smokes cigarettes/tobacco 4.1 7,255 51.0 36.4 297
Does not smoke
cigarettes/tobacco 2.7 214,978 56.3 38.9 5,901
Cooking fuel
Electricity or gas3 2.6 111,606 56.0 40.2 2,899
Kerosene 2.9 847 60.8 51.7 25
Coal/lignite 3.5 1,895 45.3 35.2 66
Charcoal 3.4 1,835 64.7 43.3 62
Wood/straw4 2.9 92,553 55.3 36.4 2,703
Animal dung 3.3 13,306 61.3 43.3 442
Other 0.5 191 84.8 57.7 1
Wealth quintile
Lowest 3.2 53,817 57.6 37.2 1,723
Second 3.1 47,984 56.8 38.5 1,472
Middle 2.7 43,519 54.7 39.2 1,167
Fourth 2.4 41,242 57.7 38.8 993
Highest 2.4 35,671 51.7 42.3 844
Total 2.8 222,233 56.1 38.8 6,198

1
Symptoms of ARI include cough accompanied by short, rapid breathing which is chest related and/or difficult breathing which
is chest related
2
Includes advice or treatment from the public health sector, the private health sector, and shop. Excludes advice or treatment
from a traditional healer or friend/relative.
3
Includes LPG, natural gas, and biogas
4
Includes grass, shrubs, and crop waste
349
Table 9.8 Prevalence and treatment of symptoms of ARI by state/union territory
Among children under age 5 years, the percentage who had symptoms of acute respiratory
infection (ARI) in the 2 weeks preceding the survey and among children with symptoms of ARI
in the 2 weeks preceding the survey, percentage for whom advice or treatment was sought
from a health facility or provider, according to state/union territory, India, 2019-21
Among children Among children under age 5 years

under age of 5 years with symptoms of ARI
whom advice or whom advice or
treatment was treatment was
Percentage with sought from a health sought the same
State/union territory symptoms of ARI1 facility or provider2 day or the next day
India 2.8 56.1 38.8
North
Chandigarh 0.3 100.0 100.0
Delhi 5.6 57.3 51.5
Haryana 2.3 47.9 40.5
Ladakh 5.3 40.0 28.6
Punjab 2.5 45.7 42.3
Rajasthan 2.9 47.0 34.4
Central
East
Bihar 3.5 70.4 47.9
Jharkhand 2.1 47.7 37.8
Odisha 3.2 44.9 28.9
Northeast
Assam 2.5 56.4 34.2
Manipur 1.7 32.1 14.2
Meghalaya 4.8 72.1 55.5
Mizoram 0.6 21.8 14.2
Nagaland 1.1 13.3 11.0
Sikkim 0.7 19.1 13.4
Tripura 1.3 43.5 34.8
West
Daman & Diu 0.3 43.5 38.0
Goa 0.9 100.0 100.0
Gujarat 1.0 61.9 38.3
Continued…
350
Table 9.8 Prevalence and treatment of symptoms of ARI by state/union territory—Continued
Among children under age 5 years, the percentage who had symptoms of acute respiratory
infection (ARI) in the 2 weeks preceding the survey and among children with symptoms of ARI
in the 2 weeks preceding the survey, percentage for whom advice or treatment was sought
from a health facility or provider, according to state/union territory, India, 2019-21
Among children Among children under age 5 years

under age of 5 years with symptoms of ARI
whom advice or whom advice or
treatment was treatment was
Percentage with sought from a health sought the same
State/union territory symptoms of ARI1 facility or provider2 day or the next day
South
Andaman & Nicobar
Islands 1.7 36.2 36.2
Karnataka 1.5 57.1 32.6
Kerala 2.4 69.6 53.5
Tamil Nadu 1.1 32.0 22.6
Telangana 2.2 63.6 48.4
1
Symptoms of ARI include cough accompanied by short, rapid breathing which is chest related and/or
difficult breathing which is chest related
2
Includes advice or treatment from the public health sector, the private health sector, and shop. Excludes
advice or treatment from a traditional healer or friend/relative.
351
Table 9.9 Prevalence and treatment of symptoms of fever
Among children under age 5 years, the percentage who had a fever in the 2 weeks preceding the survey and
among children with fever in the 2 weeks preceding the survey, percentage with fever for whom advice or
treatment was sought from a health facility or provider and percentage who took antibiotic drugs, by
Among children under

age of 5 years Among children under age 5 with fever
Percentage for
whom advice or Percentage for
treatment was whom advice or Percentage
sought from a treatment was who took
Background Percentage Number of health facility sought the same antibiotic Number of
characteristic with fever children or provider1 day or next day drugs children
Age in months
<6 10.8 22,624 76.0 59.1 20.1 2,440
6-11 17.9 21,869 81.7 62.0 23.4 3,907
12-23 16.1 43,247 80.2 59.3 23.3 6,955
24-35 13.7 43,916 79.8 59.5 26.7 6,006
36-47 12.0 44,075 79.6 58.1 26.5 5,278
48-59 10.1 46,503 78.7 58.3 25.2 4,719
Sex
Male 13.7 115,196 80.2 60.2 24.5 15,768
Female 12.6 107,037 78.9 58.3 24.8 13,537
Residence
Urban 11.9 59,780 81.3 62.9 26.0 7,117
Rural 13.7 162,452 79.1 58.2 24.2 22,188
Mother's schooling
No schooling 12.7 46,918 77.1 55.9 22.0 5,935
<5 years complete 15.9 10,615 80.5 59.7 27.1 1,683
5-7 years complete 13.3 31,983 78.3 55.5 22.6 4,249
8-9 years complete 14.2 41,125 79.8 59.7 24.6 5,849
10-11 years complete 14.3 29,804 80.4 62.1 24.9 4,270
12 or more years
complete 11.8 61,788 81.7 62.2 27.3 7,320
Religion
Hindu 12.9 176,335 79.4 59.0 23.8 22,664
Muslim 14.7 36,163 81.9 60.8 26.7 5,319
Christian 15.8 4,651 76.7 60.1 36.3 735
Sikh 9.5 2,801 68.9 59.5 16.4 267
Buddhist/Neo-
Buddhist 19.5 1,064 81.1 60.8 28.0 208
Jain 8.0 323 80.6 52.3 50.6 26
Other 9.6 896 66.5 39.3 26.7 86
Caste/tribe
Scheduled caste 13.4 51,395 78.9 58.6 22.1 6,881
Scheduled tribe 11.7 22,135 74.7 53.1 24.5 2,584
Other backward class 12.7 96,762 80.4 60.4 26.5 12,281
Other 14.5 49,900 81.0 60.6 24.2 7,220
Don't know 16.6 2,042 74.4 55.9 17.9 339
Continued…
352
Table 9.9 Prevalence and treatment of symptoms of fever—Continued
Among children under age 5 years, the percentage who had a fever in the 2 weeks preceding the survey and
among children with fever in the 2 weeks preceding the survey, percentage with fever for whom advice or
treatment was sought from a health facility or provider and percentage who took antibiotic drugs, by
Among children under

age of 5 years Among children under age 5 with fever
Percentage for
whom advice or Percentage for
treatment was whom advice or Percentage
sought from a treatment was who took
Background Percentage Number of health facility sought the same antibiotic Number of
characteristic with fever children or provider1 day or next day drugs children
Wealth quintile
Lowest 14.9 53,817 75.9 53.7 23.5 8,025
Second 13.8 47,984 79.6 59.1 22.7 6,620
Middle 13.5 43,519 80.0 60.0 24.4 5,874
Fourth 12.2 41,242 82.3 62.1 26.7 5,018
Highest 10.6 35,671 83.4 66.7 27.9 3,768
Total 13.2 222,233 79.6 59.3 24.6 29,305

1
Excludes advice or treatment from a traditional healer or friend/relative
353
Table 9.10 Prevalence of diarrhoea
Percentage of children under age 5 years who had

diarrhoea in the 2 weeks preceding the survey, by
Percentage of
children with Number of
Background characteristic diarrhoea children
Age in months
<6 8.0 22,624
6-11 12.8 21,869
12-23 10.0 43,247
24-35 6.7 43,916
36-47 5.3 44,075
48-59 4.3 46,503
Sex
Male 7.6 115,196
Female 7.0 107,037
Residence
Urban 6.2 59,780
Rural 7.7 162,452
Mother's schooling
No schooling 7.8 46,918
<5 years complete 8.9 10,615
5-7 years complete 7.9 31,983
12 or more years
complete 6.0 61,788
Religion
Hindu 7.3 176,335
Muslim 7.5 36,163
Christian 6.3 4,651
Sikh 4.8 2,801
Buddhist/Neo-Buddhist 10.4 1,064
Jain 4.8 323
Other 4.8 896
Caste/tribe
Scheduled caste 7.6 51,395
Scheduled tribe 7.6 22,135
Other backward class 7.1 96,762
Other 7.2 49,900
Don't know 7.6 2,042
Wealth quintile
Lowest 8.9 53,817
Second 8.1 47,984
Middle 7.2 43,519
Fourth 6.4 41,242
Highest 4.9 35,671
Continued…
354
Table 9.10 Prevalence of diarrhoea—Continued
Percentage of children under age 5 years who had diarrhoea

in the 2 weeks preceding the survey, by background
Percentage of
children with Number of
Background characteristic diarrhoea children
Source of drinking water1

Improved 7.3 213,040
Not improved 7.7 8,370
Other 7.0 823
Toilet facility2
Improved 6.6 142,547
Shared3 8.6 20,456
Unimproved 8.2 6,678
No facility/open defecation 8.7 52,553
Total 7.3 222,233

1
See Table 2.1 for definition of categories
2
3
Facilities that would be considered improved if they were not
shared by two or more households
355
Table 9.11 Diarrhoea treatment
Among children under age 5 years who had diarrhoea in the 2 weeks preceding the survey, percentage for whom advice or treatment was sought from a health facility or provider, percentage
who received oral rehydration therapy (ORT), percentage who were given other treatments, and percentage given no treatment, by background characteristics, India, 2019-21
Percentage
Percentage of children who were given Percentage who were given other treatments
for whom
advice or ORT
treatment A fluid (ORS,
was sought made gruel, ORS Contin- Home Number of
from a health from an Either In- or in- ORS or in- ued Anti- Anti- Intra- remedy/ No children
facility or ORS ORS or creased creased and creased feeding biotic motility Other venous herbal/ treat- with
Background characteristic provider1 packet Gruel gruel fluids fluids) Zinc zinc fluids and ORT2 drug drug drug solution other ment diarrhoea
Age in months
<6 71.8 35.6 10.3 37.1 3.2 38.9 21.9 12.3 37.5 19.9 16.0 4.4 8.3 0.3 9.0 30.8 1,812
6-11 78.9 56.7 28.4 62.6 4.5 64.1 29.4 21.6 58.5 39.6 16.9 4.4 10.9 0.4 7.5 16.3 2,800
12-23 79.1 66.3 37.7 73.2 6.2 74.4 31.0 25.2 67.7 49.6 16.8 4.5 10.6 0.4 8.2 10.6 4,342
24-35 75.6 64.1 38.2 70.7 6.1 72.0 31.8 25.1 65.7 50.2 18.6 4.6 10.6 0.7 7.5 11.3 2,938
36-47 75.5 66.1 40.8 72.3 5.5 73.6 33.3 26.1 67.6 51.7 17.2 6.0 8.6 0.3 7.0 13.0 2,327
48-59 71.5 65.0 41.8 71.8 5.5 73.4 33.9 27.5 66.8 48.7 15.4 5.1 9.7 0.3 5.5 14.5 1,995
356
Sex
Male 76.7 61.8 35.0 67.9 5.6 69.3 30.9 24.1 63.4 45.7 17.0 5.1 9.9 0.4 7.6 14.1 8,698
Female 75.6 59.3 33.0 65.0 5.0 66.4 30.2 22.9 60.9 43.8 16.8 4.4 10.2 0.4 7.4 15.6 7,515
Residence
Urban 78.0 62.5 34.0 68.9 4.5 70.1 31.5 24.8 63.8 46.2 16.4 3.8 10.8 0.5 8.0 14.6 3,682
Rural 75.6 60.1 34.1 65.9 5.6 67.4 30.3 23.2 61.8 44.5 17.1 5.1 9.8 0.4 7.4 14.9 12,531
Mother's schooling
No schooling 75.4 59.7 35.8 65.5 5.8 66.9 27.4 21.4 61.4 44.6 16.1 6.1 10.4 0.4 7.3 16.5 3,656
<5 years complete 73.9 58.6 31.9 65.3 4.7 67.0 25.3 18.9 60.4 46.2 18.3 4.0 11.4 0.2 7.3 14.3 942
5-7 years complete 75.9 60.5 32.3 66.4 4.5 67.3 30.8 24.2 61.6 45.7 16.4 4.3 10.3 0.5 6.6 15.0 2,521
8-9 years complete 75.4 62.1 33.4 67.1 5.4 68.4 32.4 25.0 63.6 44.3 17.0 4.5 9.9 0.5 7.8 14.4 3,224
10-11 years complete 77.9 61.6 35.2 67.9 5.8 69.6 31.9 23.8 63.6 45.2 16.9 4.8 9.8 0.5 7.5 13.0 2,181
12 or more years
complete 77.4 60.3 34.0 67.0 5.4 68.4 32.4 25.0 62.0 44.4 17.6 4.3 9.3 0.3 8.2 14.5 3,690
Continued…
Table 9.11 Diarrhoea treatment—Continued
who received oral rehydration therapy (ORT), percentage who were given other treatments, and percentage given no treatment, by background characteristics, India, 2019-21
Percentage
for whom Percentage of children who were given Percentage who were given other treatments
advice or ORT
treatment A fluid (ORS,
was sought made gruel, ORS Contin- Home Number of
from a health from an Either In- or in- ORS or in- ued Anti- Anti- Intra- remedy/ No children
facility or ORS ORS or creased creased and creased feeding biotic motility Other venous herbal/ treat- with
Background characteristic provider1 packet Gruel gruel fluids fluids) Zinc zinc fluids and ORT2 drug drug drug solution other ment diarrhoea
Religion
Hindu 75.5 60.4 34.2 66.4 5.3 67.7 30.8 23.7 62.0 44.8 16.7 4.9 10.1 0.3 7.7 14.7 12,910
Muslim 79.9 62.4 32.3 67.5 5.8 69.0 29.5 23.1 64.1 44.6 17.6 4.9 9.6 0.8 6.4 15.2 2,705
Christian 68.5 56.1 35.6 67.0 5.1 68.1 29.8 22.5 57.7 52.1 18.3 1.6 12.3 1.2 8.8 15.5 294
Sikh 80.0 55.4 44.5 61.9 6.7 64.5 22.5 17.1 58.0 34.5 13.7 4.6 10.5 1.8 7.0 17.3 134
Buddhist/Neo-Buddhist 78.4 64.8 38.7 72.6 1.7 73.7 34.5 26.4 65.9 50.2 27.6 2.8 7.6 0.0 9.8 10.4 111
Jain 96.1 54.8 44.9 80.3 0.0 80.3 23.6 23.6 54.8 60.2 13.9 0.0 22.9 0.0 8.7 3.9 16
357
Other 72.4 42.1 37.5 59.7 6.6 65.5 27.2 10.0 47.8 42.1 19.5 7.0 6.7 0.0 12.9 17.1 43
Caste/tribe
Scheduled caste 75.8 58.5 34.2 65.1 5.3 66.7 31.2 24.2 60.4 44.7 16.4 5.3 10.1 0.3 8.0 14.8 3,889
Scheduled tribe 73.8 65.7 39.7 72.1 5.3 73.4 33.3 26.0 67.2 50.7 14.8 5.2 8.0 0.1 6.3 14.1 1,689
Other backward class 76.8 58.0 31.9 63.5 5.5 65.0 29.9 22.4 59.8 42.8 17.4 4.5 10.7 0.4 7.5 16.0 6,873
Other 77.0 65.8 36.0 71.8 5.4 72.8 29.8 24.2 67.0 47.0 17.8 4.8 9.2 0.6 7.7 12.6 3,606
Don't know 67.6 51.4 22.8 57.9 3.6 59.6 27.7 16.3 53.1 28.6 13.1 3.6 15.3 3.6 4.8 17.7 155
Wealth quintile
Lowest 75.3 59.3 35.4 65.1 6.1 66.6 28.3 21.6 61.1 45.3 17.3 5.8 9.7 0.4 7.1 15.7 4,791
Second 73.5 59.4 32.2 65.0 5.5 66.7 29.8 22.3 61.2 43.1 15.9 4.6 9.9 0.7 7.6 16.4 3,868
Middle 75.7 60.6 33.1 66.2 4.3 67.3 31.5 24.0 62.0 44.4 16.4 3.5 10.0 0.3 8.1 14.3 3,146
Fourth 79.9 62.5 33.0 68.7 4.7 69.9 31.6 24.5 63.9 46.0 17.4 5.7 10.7 0.1 8.0 12.6 2,648
Highest 79.9 64.1 38.0 71.5 5.7 72.8 35.1 29.2 65.8 46.6 18.6 3.5 10.1 0.4 6.9 12.9 1,759
Total 76.2 60.6 34.1 66.6 5.4 68.0 30.5 23.5 62.2 44.9 16.9 4.8 10.0 0.4 7.5 14.8 16,213
1
Includes advice or treatment from the public health sector, the private health sector, and shop. Excludes advice or treatment from a traditional healer or friend/relative.
2
Continued feeding includes children who were given more, same as usual, or somewhat less food during the diarrhoea episode
Table 9.12 Diarrhoea treatment by state/union territory
who received oral rehydration therapy (ORT), percentage who were given other treatments, and percentage given no treatment, by state/union territory, India, 2019-21
Percentage
for whom
advice or
treatment A fluid
was sought made ORT (ORS, Home
from a health from an Either gruel, or ORS ORS or Continued Anti- Intra- remedy/
facility or ORS ORS or Increased increased and increased feeding Antibiotic motility Other venous herbal/ No
State/union territory provider1 packet Gruel gruel fluids fluids) Zinc zinc fluids and ORT2 drug drug drug solution other treatment
India 76.2 60.6 34.1 66.6 5.4 68.0 30.5 23.5 62.2 44.9 16.9 4.8 10.0 0.4 7.5 14.8
North
Chandigarh 68.7 57.7 57.7 57.7 0.0 57.7 57.7 57.7 57.7 57.7 11.0 0.0 0.0 0.0 0.0 31.3
Delhi 84.8 64.5 40.0 70.2 8.1 71.8 32.7 25.4 66.5 45.8 18.1 2.7 22.9 0.0 3.3 12.2
Haryana 83.1 46.6 32.6 54.7 5.5 57.6 26.2 20.1 49.9 34.5 14.4 4.1 15.6 0.6 11.4 19.0
Himachal Pradesh 71.9 73.7 47.4 75.5 17.1 81.7 19.5 17.6 81.2 54.5 7.3 0.9 6.3 0.0 9.3 15.6
358
Jammu & Kashmir 75.0 80.8 44.2 84.3 6.0 84.9 50.5 45.2 81.7 42.7 23.9 6.5 7.1 0.0 2.8 8.7
Ladakh 76.8 78.3 40.2 82.1 8.8 82.1 54.5 51.0 78.3 51.8 33.1 6.6 3.7 0.0 11.4 9.0
Punjab 80.8 60.7 39.2 65.6 6.6 67.4 27.0 21.7 62.5 38.2 13.0 5.9 9.5 0.0 9.0 15.1
Rajasthan 85.6 64.3 19.1 66.6 6.5 68.6 27.2 21.5 66.4 53.5 20.2 7.6 12.9 0.7 7.4 9.9
Uttarakhand 82.4 55.9 39.4 67.0 9.3 72.2 30.1 16.7 61.5 44.3 15.1 4.9 9.9 0.7 11.9 11.9
Central
Chhattisgarh 77.8 67.3 37.5 74.6 4.7 76.7 40.0 33.0 70.2 53.2 25.7 5.4 8.0 0.0 9.0 10.5
Madhya Pradesh 73.4 65.2 37.9 68.9 6.0 70.3 35.6 29.1 66.8 44.0 18.1 4.5 10.5 0.0 5.1 13.2
Uttar Pradesh 77.9 50.7 26.9 55.6 3.6 57.3 28.5 20.0 52.5 36.4 17.7 5.0 11.8 0.2 7.2 18.1
East
Bihar 75.1 58.2 39.4 64.7 7.9 66.7 25.6 19.3 60.5 42.6 19.0 6.0 10.7 0.5 7.8 15.5
Jharkhand 72.0 55.6 38.5 63.2 3.2 64.6 28.9 20.6 57.5 39.2 21.6 10.3 7.5 0.4 4.6 18.9
Odisha 65.9 65.7 23.2 68.8 8.7 70.1 36.9 30.4 67.3 55.2 15.5 4.2 12.0 0.3 10.4 18.4
West Bengal 83.0 75.3 28.1 77.8 4.8 77.8 36.0 29.9 75.3 46.5 18.3 2.9 10.4 0.4 8.9 9.9
Continued…
Table 9.12 Diarrhoea treatment by state/union territory—Continued
who received oral rehydration therapy (ORT), percentage who were given other treatments, and percentage given no treatment, by state/union territory, India, 2019-21
Percentage
for whom
advice or
treatment A fluid
was sought made ORT (ORS, Home
from a health from an Either gruel, or ORS ORS or Continued Anti- Intra- remedy/
facility or ORS ORS or Increased increased and increased feeding Antibiotic motility Other venous herbal/ No
State/union territory provider1 packet Gruel gruel fluids fluids) Zinc zinc fluids and ORT2 drug drug drug solution other treatment
Northeast
Arunachal Pradesh 56.2 62.7 39.0 66.2 6.9 68.9 27.9 22.1 65.3 51.2 17.5 7.0 4.7 0.2 9.6 19.8
Assam 71.1 69.1 31.4 73.5 1.6 73.6 28.0 23.5 69.1 57.2 14.9 2.0 10.4 1.4 6.0 16.7
Manipur 54.0 69.7 8.3 71.6 5.5 72.0 26.1 19.0 70.2 58.1 20.7 1.4 7.9 0.3 15.1 10.6
Meghalaya 80.0 73.2 42.4 79.0 2.9 79.5 40.5 33.8 73.9 61.9 19.1 2.6 14.0 1.3 19.6 8.5
Mizoram 44.2 71.4 26.2 75.1 24.2 80.8 29.8 25.7 77.0 57.8 4.4 0.0 4.0 0.6 5.0 10.7
Nagaland 37.0 54.5 30.3 63.0 8.3 63.0 9.1 6.9 54.5 55.2 17.0 0.0 4.5 0.0 31.7 24.9
359
Sikkim 57.1 64.2 24.5 64.2 35.4 84.1 50.0 37.5 84.1 33.6 21.9 0.0 3.2 0.0 1.0 10.0
Tripura 67.5 67.2 23.8 76.6 3.9 76.6 16.7 10.6 68.3 56.2 4.5 1.4 6.7 0.0 10.2 15.8
West
and Daman & Diu 79.7 87.9 14.1 87.9 0.0 87.9 20.8 20.8 87.9 70.9 0.0 0.0 5.8 0.0 20.2 0.0
Goa 100.0 45.3 45.8 62.8 11.1 62.8 50.5 24.5 45.3 40.2 19.7 0.0 8.2 0.0 28.7 0.0
Gujarat 74.7 66.5 23.5 69.2 5.3 70.8 35.4 28.0 68.3 49.0 9.2 4.0 6.4 0.0 4.6 14.1
Maharashtra 75.9 59.5 50.0 73.5 1.4 74.0 27.3 21.3 60.1 49.3 15.9 4.6 6.3 0.7 10.1 11.4
South
Andaman & Nicobar
Islands 83.9 65.0 39.2 68.2 15.4 68.2 44.0 33.4 65.0 41.1 24.5 7.4 13.1 0.0 0.0 19.5
Andhra Pradesh 76.2 62.5 19.8 66.7 2.5 67.6 41.8 29.2 63.4 43.6 13.5 2.2 6.5 0.6 7.4 12.0
Karnataka 76.8 71.3 42.1 75.4 4.7 76.1 45.5 38.0 72.0 51.7 10.0 4.1 8.6 0.4 4.7 13.0
Kerala 87.1 61.1 53.9 73.9 15.1 75.3 22.4 20.2 64.5 45.0 15.0 0.0 6.9 0.0 7.6 12.7
Lakshadweep 76.1 50.6 25.7 60.5 0.0 60.5 0.0 0.0 50.6 33.7 0.0 0.0 15.8 0.0 0.0 39.5
Puducherry 66.0 64.2 52.6 83.8 0.0 83.8 33.2 33.2 64.2 72.6 14.0 0.0 1.7 0.0 9.7 12.1
Tamil Nadu 60.8 53.8 30.2 61.4 0.3 61.4 28.9 23.3 53.8 39.6 10.4 1.7 5.3 0.0 8.0 26.7
Telangana 73.4 56.3 23.4 61.6 3.8 62.1 38.5 24.9 57.2 45.8 15.7 2.4 7.2 0.7 3.4 17.1
1
Includes advice or treatment from the public health sector, the private health sector, and shop. Excludes advice or treatment from a traditional healer or friend/relative.
2
Continued feeding includes children who were given more, same as usual, or somewhat less food during the diarrhoea episode
Table 9.13 Feeding practices during diarrhoea
Percent distribution of children under age 5 years who had diarrhoea in the 2 weeks preceding the survey by amount of liquids and food given compared with normal practice, according to
Amount of liquids given Amount of food given Number of

Never children
Same as Somewhat Much Don't Same as Somewhat Much gave Don't with
Background characteristic More usual less less None know Total More usual less less None food know Total diarrhoea
Age in months
<6 3.2 35.6 29.4 18.0 12.7 1.1 100.0 1.7 25.3 23.8 15.3 1.6 30.8 1.4 100.0 1,812
6-11 4.5 32.3 34.0 24.3 4.4 0.4 100.0 2.6 27.9 32.2 24.0 1.9 10.3 1.0 100.0 2,800
12-23 6.2 27.9 37.9 24.4 3.1 0.5 100.0 2.8 25.6 39.7 25.2 2.0 4.2 0.5 100.0 4,342
24-35 6.1 31.1 37.9 21.3 2.9 0.6 100.0 3.1 29.7 38.0 24.5 1.3 2.9 0.5 100.0 2,938
36-47 5.5 30.7 36.3 22.3 4.3 0.9 100.0 3.3 28.4 39.8 24.5 1.3 2.2 0.5 100.0 2,327
48-59 5.5 29.0 36.2 25.3 3.3 0.8 100.0 2.6 28.4 36.9 27.4 1.6 2.5 0.6 100.0 1,995
Sex
Male 5.6 30.6 35.8 22.7 4.7 0.6 100.0 2.7 27.4 35.7 24.2 1.5 7.9 0.6 100.0 8,698
Female 5.0 30.7 35.9 23.2 4.4 0.8 100.0 2.8 27.6 36.3 23.7 1.9 7.0 0.8 100.0 7,515
360
Residence
Urban 4.5 32.8 34.9 23.5 4.2 0.2 100.0 2.0 30.4 34.0 24.9 1.5 6.8 0.4 100.0 3,682
Rural 5.6 30.0 36.1 22.8 4.7 0.8 100.0 3.0 26.6 36.6 23.7 1.7 7.7 0.8 100.0 12,531
Mother's schooling
No schooling 5.8 30.5 35.9 22.7 4.3 0.9 100.0 3.2 26.6 37.3 23.7 1.8 6.6 0.7 100.0 3,656
<5 years complete 4.7 31.0 38.8 20.9 3.8 0.8 100.0 1.1 28.0 40.2 22.2 1.8 5.8 0.8 100.0 942
5-7 years complete 4.5 30.1 37.9 21.8 5.0 0.7 100.0 2.7 27.5 36.6 23.2 1.7 7.7 0.7 100.0 2,521
8-9 years complete 5.4 29.3 35.1 24.9 4.7 0.6 100.0 2.8 26.3 36.3 24.7 1.4 7.9 0.6 100.0 3,224
10-11 years complete 5.8 32.0 36.2 21.0 4.4 0.5 100.0 2.7 28.3 36.7 23.4 1.1 6.8 1.0 100.0 2,181
12 or more years
complete 5.4 31.4 34.1 23.9 4.8 0.5 100.0 2.7 28.6 32.4 24.7 2.1 8.8 0.6 100.0 3,690
Continued…
Table 9.13 Feeding practices during diarrhoea—Continued
Percent distribution of children under age 5 years who had diarrhoea in the 2 weeks preceding the survey by amount of liquids and food given compared with normal practice, according to
Amount of liquids given Amount of food given Number of

Never children
Same as Somewhat Much Don't Same as Somewhat Much gave Don't with
Background characteristic More usual less less None know Total More usual less less None food know Total diarrhoea
Religion
Hindu 5.3 31.2 35.4 23.0 4.6 0.6 100.0 2.9 28.0 35.4 23.8 1.7 7.6 0.6 100.0 12,910
Muslim 5.8 28.1 37.9 22.3 4.7 1.2 100.0 2.0 24.3 38.4 24.9 1.7 7.4 1.2 100.0 2,705
Christian 5.1 38.4 34.3 19.6 1.9 0.8 100.0 3.0 33.7 39.3 18.8 1.6 3.3 0.3 100.0 294
Sikh 6.7 16.3 35.8 32.3 8.0 1.0 100.0 5.1 15.1 35.0 29.7 0.0 13.3 1.8 100.0 134
Buddhist/Neo-Buddhist 1.7 31.2 36.3 28.9 1.8 0.1 100.0 1.8 35.9 29.0 29.6 0.1 3.4 0.1 100.0 111
Jain 0.0 16.8 56.7 26.5 0.0 0.0 100.0 0.0 39.0 40.9 20.1 0.0 0.0 0.0 100.0 16
Other 6.6 34.2 43.3 14.6 1.2 0.0 100.0 3.7 26.0 44.6 17.5 0.6 7.6 0.0 100.0 43
Caste/tribe
Scheduled caste 5.3 31.5 36.1 22.7 3.9 0.5 100.0 2.7 28.6 35.7 22.9 2.2 7.2 0.6 100.0 3,889
361
Scheduled tribe 5.3 32.1 35.6 21.7 4.7 0.7 100.0 3.8 29.1 37.2 22.0 0.9 6.3 0.7 100.0 1,689
Other backward class 5.5 30.7 35.8 22.5 5.0 0.6 100.0 2.8 27.5 35.8 23.3 1.8 8.2 0.6 100.0 6,873
Other 5.4 29.0 36.0 24.6 4.2 0.8 100.0 2.2 25.5 36.2 27.0 1.4 6.9 0.9 100.0 3,606
Don't know 3.6 28.7 32.6 22.5 8.7 3.9 100.0 3.0 22.3 31.3 25.9 0.2 12.5 4.8 100.0 155
Wealth quintile
Lowest 6.1 28.6 38.5 22.6 3.3 0.9 100.0 3.3 24.2 40.5 23.5 1.6 6.3 0.8 100.0 4,791
Second 5.5 30.5 35.3 22.7 5.3 0.6 100.0 2.5 28.2 34.8 23.2 1.9 8.5 1.0 100.0 3,868
Middle 4.3 32.6 34.0 23.1 5.4 0.5 100.0 3.0 29.1 34.4 24.2 1.7 7.0 0.6 100.0 3,146
Fourth 4.7 30.3 36.9 22.9 4.7 0.4 100.0 2.3 28.9 34.2 24.2 1.8 8.2 0.5 100.0 2,648
Highest 5.7 33.6 31.4 24.0 4.8 0.6 100.0 2.0 29.9 32.0 25.9 1.5 8.4 0.4 100.0 1,759
Total 5.4 30.6 35.8 22.9 4.6 0.7 100.0 2.7 27.5 36.0 23.9 1.7 7.5 0.7 100.0 16,213
Note: It is recommended that children should be given more liquids to drink during diarrhoea and food should not be reduced.
Table 9.14 Feeding practices during diarrhoea by state/union territory
Percent distribution of children under age 5 years who had diarrhoea in the 2 weeks preceding the survey by amount of liquids and food given compared with normal practice, and percentage
of women who know about oral rehydration salts (ORS) packets for the treatment of diarrheoa, by state/union territory, India, 2019-21
Percentage
Amount of liquids given Amount of food given of women
Never who know
Same as Somewhat Much Don't Same as Somewhat Much gave Don't about ORS
State/union territory More usual less less None know Total More usual less less None food know Total packets
India 5.4 30.6 35.8 22.9 4.6 0.7 100.0 2.7 27.5 36.0 23.9 1.7 7.5 0.7 100.0 92.4
North
Chandigarh 0.0 19.2 80.8 0.0 0.0 0.0 100.0 0.0 19.2 80.8 0.0 0.0 0.0 0.0 100.0 94.1
Delhi 8.1 41.6 25.1 20.7 4.4 0.0 100.0 1.0 36.7 26.6 23.8 2.1 9.4 0.4 100.0 97.8
Haryana 5.5 27.6 35.5 24.7 4.8 1.9 100.0 4.6 24.1 32.4 26.9 0.8 9.0 2.2 100.0 93.2
Himachal Pradesh 17.1 36.7 27.3 11.1 4.9 2.9 100.0 5.8 29.5 35.1 13.0 1.7 12.8 2.2 100.0 97.2
Jammu & Kashmir 6.0 27.8 21.7 38.5 5.5 0.4 100.0 2.1 26.6 22.7 38.1 2.9 7.8 0.0 100.0 90.2
Ladakh 8.8 28.5 35.4 22.5 4.8 0.0 100.0 7.3 18.2 42.4 18.0 4.8 9.3 0.0 100.0 91.1
Punjab 6.6 23.9 34.9 26.3 7.4 0.9 100.0 3.6 20.4 34.9 27.0 0.0 11.1 3.0 100.0 87.2
362
Rajasthan 6.5 46.8 31.7 10.2 4.4 0.4 100.0 3.8 37.1 34.6 10.9 1.6 11.9 0.1 100.0 96.3
Uttarakhand 9.3 29.8 33.4 23.0 4.5 0.0 100.0 3.4 28.0 32.6 24.3 5.2 6.5 0.0 100.0 96.5
Central
Chhattisgarh 4.7 24.5 39.4 21.3 9.3 0.9 100.0 4.6 23.7 39.4 19.1 1.4 11.2 0.4 100.0 97.4
Madhya Pradesh 6.0 24.3 37.8 24.6 6.3 1.0 100.0 2.6 22.3 37.7 25.7 1.4 9.5 0.9 100.0 95.3
Uttar Pradesh 3.6 32.5 35.2 23.5 4.7 0.5 100.0 2.8 28.8 32.6 23.6 2.5 9.0 0.8 100.0 87.9
East
Bihar 7.9 25.9 37.6 23.8 3.8 1.0 100.0 3.7 21.6 38.8 24.7 1.6 8.7 0.9 100.0 90.0
Jharkhand 3.2 23.1 38.3 31.3 3.3 0.7 100.0 2.8 17.3 44.1 29.5 0.8 4.6 0.9 100.0 90.0
Odisha 8.7 37.0 36.9 13.8 3.2 0.5 100.0 3.8 36.4 39.3 16.5 0.3 3.7 0.0 100.0 99.1
West Bengal 4.8 26.0 37.4 29.1 2.0 0.6 100.0 1.7 19.5 38.8 34.1 1.3 3.4 1.1 100.0 95.8
Continued…
Table 9.14 Feeding practices during diarrhoea by state/union territory—Continued
Percent distribution of children under age 5 years who had diarrhoea in the 2 weeks preceding the survey by amount of liquids and food given compared with normal practice, and percentage
of women who know about oral rehydration salts (ORS) packets for the treatment of diarrheoa, by state/union territory, India, 2019-21
Amount of liquids given Amount of food given Percentage

of women
Never who know
Same as Somewhat Much Don't Same as Somewhat Much gave Don't about ORS
State/union territory More usual less less None know Total More usual less less None food know Total packets
Northeast
Arunachal Pradesh 6.9 38.7 26.3 18.9 7.2 2.0 100.0 2.9 39.8 28.4 16.1 3.2 8.0 1.6 100.0 92.0
Assam 1.6 35.4 42.7 16.6 3.3 0.4 100.0 2.1 35.8 43.3 16.2 0.9 1.1 0.6 100.0 96.3
Manipur 5.5 40.1 42.0 11.0 1.4 0.0 100.0 4.9 30.8 48.3 12.9 1.0 2.1 0.0 100.0 97.0
Meghalaya 2.9 41.9 29.5 22.8 2.5 0.4 100.0 3.3 38.1 36.7 19.2 0.9 1.6 0.3 100.0 95.2
Mizoram 24.2 40.4 21.8 4.4 4.7 4.5 100.0 19.7 33.0 26.2 11.1 1.8 3.6 4.5 100.0 95.8
Nagaland 8.3 49.0 38.0 4.7 0.0 0.0 100.0 2.2 49.1 34.0 8.0 0.4 6.3 0.0 100.0 85.5
Sikkim 35.4 10.1 38.0 16.2 0.3 0.0 100.0 10.3 22.4 31.0 35.9 0.0 0.3 0.0 100.0 96.1
Tripura 3.9 24.9 47.7 19.5 4.0 0.0 100.0 1.1 25.9 45.7 20.7 2.6 4.0 0.0 100.0 98.1
363
West
and Daman & Diu 0.0 12.6 65.7 21.7 0.0 0.0 100.0 0.0 20.7 50.3 26.0 0.0 3.0 0.0 100.0 95.3
Goa 11.1 43.1 40.2 5.5 0.0 0.0 100.0 0.0 44.5 32.9 22.6 0.0 0.0 0.0 100.0 98.9
Gujarat 5.3 31.6 35.0 22.2 5.6 0.2 100.0 4.7 31.6 34.8 21.8 1.6 5.2 0.2 100.0 89.1
Maharashtra 1.4 31.4 36.6 23.1 6.8 0.7 100.0 0.5 32.7 34.1 23.0 1.1 7.9 0.7 100.0 87.4
South
Andaman & Nicobar
Islands 15.4 13.3 38.7 22.9 4.9 4.9 100.0 0.0 18.2 27.7 35.9 0.0 13.4 4.9 100.0 98.1
Andhra Pradesh 2.5 38.7 27.5 28.5 2.8 0.0 100.0 0.6 34.3 27.8 33.2 1.1 3.0 0.0 100.0 94.5
Karnataka 4.7 24.8 41.9 20.9 6.7 0.9 100.0 2.0 28.8 36.2 23.2 1.8 6.6 1.4 100.0 93.0
Kerala 15.1 24.2 31.6 26.4 2.0 0.7 100.0 2.0 21.5 36.1 31.8 0.7 7.9 0.0 100.0 95.1
Lakshadweep 0.0 39.5 33.7 26.8 0.0 0.0 100.0 0.0 23.9 33.7 26.8 0.0 15.7 0.0 100.0 97.1
Puducherry 0.0 44.1 43.1 10.5 2.3 0.0 100.0 0.0 41.6 43.1 6.5 8.8 0.0 0.0 100.0 96.7
Tamil Nadu 0.3 42.3 26.6 24.5 6.3 0.0 100.0 1.0 34.5 28.1 25.3 6.0 5.2 0.0 100.0 95.2
Telangana 3.8 31.5 37.2 23.1 4.2 0.1 100.0 1.4 30.1 37.6 21.4 3.0 5.9 0.6 100.0 93.9
Note: It is recommended that children should be given more liquids to drink during diarrhoea and food should not be reduced.
Table 9.15 Knowledge of ORS packets
Percentage of women age 15-49 who had a live birth in the

5 years preceding the survey who know about ORS packets
for treatment of diarrhoea, by background characteristics,
India, 2019-21
Percentage of
women who
know about Number of
Background characteristic ORS packets women
Age
15-19 91.0 5,451
20-24 93.8 51,170
25-34 94.3 102,183
35-49 92.5 16,163
Residence
Urban 95.8 49,346
Rural 93.2 125,621
Schooling
12 or more years complete 96.5 51,665
Religion
Hindu 93.8 139,221
Muslim 93.9 27,845
Christian 96.9 3,690
Sikh 94.1 2,326
Buddhist/Neo-Buddhist 94.1 887
Jain 97.5 272
Other 93.5 724
Caste/tribe
Other 95.2 41,236
Don't know 87.3 1,562
Wealth quintile
Lowest 90.0 39,846
Second 93.2 36,815
Middle 94.7 34,254
Fourth 95.9 33,653
Highest 96.9 30,400
Total 93.9 174,968
ORS = Oral rehydration salts
364
Table 9.16 Disposal of children's stools
Percent distribution of youngest children under age 2 living with the mother by the manner of disposal of the child's last stools, and
percentage of children whose stools are disposed of appropriately, according to background characteristics, India 2019-21
Percentage
Manner of disposal of children's stools of children
Child Put/ Put/ whose
used rinsed rinsed Left in Don't stools are
Background toilet or into toilet into drain Thrown in the know/ disposed of Number
characteristic latrine or latrine or ditch garbage Buried open Other missing Total appropriately1 of children
Age in months
<6 14.3 17.3 8.3 18.1 1.9 35.8 3.7 0.5 100.0 33.5 22,406
6-11 17.2 18.2 6.5 17.0 1.8 37.2 1.8 0.4 100.0 37.1 21,643
12-23 21.8 18.2 5.2 15.2 1.3 36.3 1.4 0.5 100.0 41.4 40,612
Residence
Urban 26.5 27.0 6.9 16.0 1.1 20.0 2.0 0.4 100.0 54.6 22,085
Rural 15.9 14.8 6.2 16.6 1.7 42.2 2.1 0.5 100.0 32.4 62,576
Mother's schooling
No schooling 12.4 10.4 7.0 15.6 1.8 50.1 2.1 0.8 100.0 24.5 15,770
<5 years complete 12.3 12.1 7.6 19.3 1.9 42.7 3.4 0.5 100.0 26.4 3,575
5-7 years complete 16.1 15.9 6.3 15.8 1.7 41.0 2.6 0.5 100.0 33.8 11,367
8-9 years complete 17.4 16.9 6.3 17.6 1.6 37.5 2.4 0.5 100.0 35.8 16,174
10-11 years complete 20.8 19.0 6.3 16.5 1.4 33.6 2.0 0.4 100.0 41.2 11,737
12 or more years
complete 24.3 24.5 5.9 16.0 1.5 25.8 1.7 0.3 100.0 50.3 26,039
Religion
Hindu 17.7 17.1 6.3 16.4 1.6 38.4 2.0 0.5 100.0 36.4 67,219
Muslim 22.7 20.1 6.1 16.5 1.5 29.8 2.8 0.5 100.0 44.3 13,755
Christian 13.6 25.6 8.8 23.3 1.6 24.4 2.5 0.1 100.0 40.8 1,776
Sikh 32.6 34.0 6.6 9.9 0.5 15.5 0.6 0.4 100.0 67.1 1,026
Buddhist/Neo-
Buddhist 24.5 19.5 6.5 17.2 1.7 29.8 0.7 0.0 100.0 45.7 393
Jain 21.5 54.5 6.6 3.3 1.1 11.9 1.1 0.0 100.0 77.1 132
Other 16.0 10.5 4.8 10.6 2.0 54.5 0.7 0.9 100.0 28.5 360
Caste/tribe
Scheduled caste 16.3 15.9 6.7 17.6 1.5 39.6 1.9 0.6 100.0 33.7 19,618
Scheduled tribe 11.5 11.3 6.8 17.1 2.0 48.7 2.0 0.5 100.0 24.8 8,633
Other 24.3 23.5 6.0 16.2 1.5 25.2 2.9 0.5 100.0 49.3 18,787
Don't know 16.4 17.2 4.2 22.2 3.4 34.2 1.7 0.7 100.0 37.0 752
Toilet facility2
Improved 22.7 22.5 6.1 15.6 1.5 29.3 1.8 0.3 100.0 46.8 54,775
Shared3 21.6 18.7 7.6 17.9 1.3 30.1 2.4 0.3 100.0 41.6 7,567
Unimproved 15.6 13.7 6.3 18.5 2.3 39.6 3.2 0.8 100.0 31.6 2,583
No facility/open
defecation 6.6 5.6 6.5 17.8 1.8 58.1 2.7 0.9 100.0 14.1 19,737
Continued…
365
Table 9.16 Disposal of children's stools—Continued
Percent distribution of youngest children under age 2 living with the mother by the manner of disposal of the child's last stools, and
percentage of children whose stools are disposed of appropriately, according to background characteristics, India 2019-21
Percentage
Manner of disposal of children's stools
of children
Child Put/ Put/ whose
used rinsed rinsed Left in Don't stools are
Background toilet or into toilet into drain Thrown in the know/ disposed of Number
characteristic latrine or latrine or ditch garbage Buried open Other missing Total appropriately1 of children
Wealth quintile
Lowest 9.1 6.4 6.1 16.9 1.9 55.5 3.2 1.0 100.0 17.4 20,203
Second 14.5 12.0 6.5 18.3 1.9 44.0 2.3 0.5 100.0 28.4 18,155
Middle 19.8 17.6 6.8 17.6 1.4 34.8 1.8 0.3 100.0 38.8 16,844
Fourth 24.7 26.0 7.0 14.9 1.3 24.3 1.5 0.3 100.0 52.1 15,824
Highest 30.1 34.1 5.4 13.5 1.2 13.9 1.5 0.2 100.0 65.5 13,635
Total 18.7 18.0 6.4 16.4 1.6 36.4 2.1 0.5 100.0 38.2 84,661
1
Children's stools are considered to be disposed of appropriately if the child used a toilet or latrine, if the fecal matter was put/rinsed into a toilet or latrine,
or if it was buried
2
3
Facilities that would be considered improved if they were not shared by two or more households
366
Table 9.17 Disposal of children's stools by state/union territory
Percent distribution of mothers with a child under age 2 years living with the mother by the manner of disposing of the youngest child's last
stools and percentage with children whose stools were disposed of appropriately, according to state/union territory, India, 2019-21
Percentage
Manner of disposal of children's stools
of children
Child used Put/rinsed Put/rinsed Thrown Left Don't whose stools
toilet or into toilet into drain in in the know/ are disposed of
State/union territory latrine or latrine or ditch garbage Buried open Other missing Total appropriately1
India 18.7 18.0 6.4 16.4 1.6 36.4 2.1 0.5 100.0 38.2
North
Chandigarh 17.7 38.7 12.4 8.2 1.8 21.2 0.0 0.0 100.0 58.2
Delhi 15.8 28.7 3.5 49.2 0.0 2.2 0.3 0.3 100.0 44.6
Haryana 30.5 30.9 5.9 13.7 1.1 17.1 0.5 0.3 100.0 62.4
Jammu & Kashmir 25.0 23.0 4.6 24.3 1.5 20.8 0.6 0.2 100.0 49.5
Ladakh 16.3 16.5 3.0 34.6 1.6 27.9 0.0 0.0 100.0 34.4
Punjab 33.8 37.0 6.7 7.4 0.4 13.9 0.4 0.4 100.0 71.2
Rajasthan 14.4 27.3 8.6 11.7 1.6 34.0 2.2 0.3 100.0 43.3
Uttarakhand 12.9 42.8 8.1 23.6 1.0 9.4 1.5 0.7 100.0 56.6
Central
Chhattisgarh 15.9 12.9 6.6 20.4 2.3 38.8 2.4 0.8 100.0 31.1
Madhya Pradesh 16.7 14.2 6.8 12.9 1.6 45.7 1.6 0.5 100.0 32.5
Uttar Pradesh 19.6 15.3 6.6 16.8 1.8 38.5 1.0 0.6 100.0 36.6
East
Bihar 12.0 8.1 6.3 8.8 1.9 59.4 2.2 1.3 100.0 22.0
Jharkhand 11.5 6.1 4.3 8.0 2.1 67.3 0.1 0.7 100.0 19.7
Odisha 5.3 6.5 6.3 27.6 1.5 49.8 2.7 0.2 100.0 13.2
West Bengal 24.9 20.1 5.5 28.0 1.5 12.4 7.4 0.2 100.0 46.5
Northeast
Assam 7.7 8.7 7.0 29.5 3.8 39.7 3.2 0.4 100.0 20.2
Manipur 9.8 44.9 10.8 15.6 2.3 14.0 2.6 0.0 100.0 57.0
Meghalaya 7.0 30.2 24.5 28.6 2.0 3.3 4.5 0.1 100.0 39.1
Mizoram 26.2 30.0 1.1 38.5 0.4 2.8 0.5 0.6 100.0 56.5
Nagaland 14.4 30.3 15.3 28.1 7.7 3.8 0.4 0.1 100.0 52.3
Sikkim 54.5 25.0 1.5 16.3 0.5 1.3 0.9 0.0 100.0 80.0
Tripura 12.7 30.5 5.9 12.2 1.3 29.8 7.2 0.3 100.0 44.5
West
Daman & Diu 49.6 13.8 2.3 5.0 0.0 28.5 0.8 0.0 100.0 63.4
Goa 13.8 47.9 1.2 21.4 1.5 11.9 1.9 0.5 100.0 63.1
Gujarat 23.9 22.5 8.2 5.1 1.6 34.3 4.0 0.3 100.0 48.0
South
Andhra Pradesh 19.7 15.2 6.1 14.3 1.1 40.1 3.2 0.3 100.0 35.9
Karnataka 28.5 18.0 5.5 18.0 0.8 27.5 1.5 0.2 100.0 47.3
Kerala 17.6 63.6 1.8 9.1 2.1 5.2 0.7 0.1 100.0 83.2
Lakshadweep 21.2 69.0 0.0 7.1 1.1 1.6 0.0 0.0 100.0 91.3
Puducherry 11.5 23.9 5.1 39.8 0.3 18.1 1.3 0.0 100.0 35.6
Tamil Nadu 15.6 14.2 5.3 31.0 1.5 31.0 1.3 0.0 100.0 31.4
Telangana 24.9 19.5 7.2 10.7 0.6 35.6 1.0 0.4 100.0 45.0
1
Children's stools are considered to be disposed of safely if the child used a toilet or latrine, if the fecal matter was put/rinsed into a toilet or latrine or if it was
buried
367
Table 9.18 Indicators of utilization of ICDS services
Percentage of living children under age 6 years who received any service from an anganwadi centre (AWC) in the 12 months preceding
the survey, percentage who received specific services from an AWC in the 12 months preceding the survey, and among children age 0-
59 months who were weighed at an AWC in the 12 months preceding the survey, percentage whose mothers received counselling from
an AWC after the child was weighed, by background characteristics, India, 2019-21
Percentage
whose
Percentage of children under age 6 years who:
Percentage mothers
of children Number received
age 0-71 Went for of counselling
months Received early children from an Number of
who Received health childhood under AWC after children
Background received food Received check- care/pre- Were age 6 child was who were
characteristic any service supplements1 immunizations ups school2 weighed3 years weighed weighed3
Residence
Urban 56.1 50.5 43.1 46.6 40.7 49.7 59,780 80.0 29,740
Rural 71.8 66.4 57.0 60.2 54.9 63.3 162,452 82.7 102,844
Mother's schooling
No schooling 65.2 59.0 52.8 52.5 49.6 54.9 46,918 84.7 25,750
<5 years complete 71.0 65.6 53.4 59.1 57.9 62.8 10,615 78.0 6,671
5-7 years complete 70.5 65.5 55.4 59.9 55.0 62.8 31,983 82.2 20,074
8-9 years complete 71.9 66.6 56.2 60.9 55.3 64.3 41,125 81.2 26,460
10-11 years complete 70.4 65.8 55.7 60.3 53.8 64.0 29,804 82.0 19,067
12 or more years
complete 62.8 57.3 49.2 52.7 43.5 55.9 61,788 81.5 34,560
Religion
Hindu 68.8 63.3 55.4 58.0 52.1 61.1 176,335 83.6 107,795
Muslim 62.5 57.4 45.6 51.3 47.0 53.9 36,163 76.1 19,488
Christian 66.4 63.9 42.4 53.1 46.6 58.9 4,651 68.5 2,740
Sikh 56.8 52.5 40.8 41.9 38.7 45.1 2,801 78.7 1,264
Buddhist/Neo-
Buddhist 64.6 62.3 50.4 59.9 56.9 62.1 1,064 79.5 660
Jain 45.0 39.3 36.2 38.0 37.3 38.8 323 80.5 125
Other 64.4 59.9 48.1 52.3 43.3 57.1 896 79.1 511
Caste/tribe
Scheduled caste 70.5 65.3 55.5 58.8 54.3 62.0 51,395 82.0 31,870
Scheduled tribe 75.4 72.3 59.8 65.8 61.0 69.8 22,135 83.4 15,450
Other backward class 67.4 61.2 55.1 56.2 49.6 59.2 96,762 84.8 57,303
Other 61.6 56.5 45.0 51.1 46.2 53.9 49,900 76.1 26,921
Don't know 59.1 52.6 38.2 42.9 41.8 50.9 2,042 68.5 1,040
Wealth quintile
Lowest 70.0 64.3 55.1 56.9 54.8 59.4 53,817 82.2 31,962
Second 72.0 66.7 56.7 60.4 57.1 63.3 47,984 82.1 30,380
Middle 72.1 67.2 57.7 62.0 55.1 65.5 43,519 82.9 28,504
Fourth 66.9 61.9 52.6 57.1 48.9 60.8 41,242 81.8 25,069
Highest 52.9 46.7 41.2 43.5 33.9 46.7 35,671 81.0 16,668
Total 67.5 62.1 53.2 56.5 51.0 59.7 222,233 82.1 132,583
ICDS = Integrated Child Development Services

1
Supplementary food includes both food cooked and served at an AWC on a daily basis or given in the form of take home rations
2 Children age 36-71 months
3 Children age 0-59 months
368
Table 9.19 Indicators of utilization of ICDS services by state/union territory
Percentage of living children under age 6 years who received any service from an anganwadi centre (AWC) in the 12 months
preceding the survey, percentage who received specific services from an AWC in the 12 months preceding the survey, and
among children age 0-59 months who were weighed at an AWC in the 12 months preceding the survey, percentage whose
mothers received counselling from an AWC after the child was weighed, by state/union territory, India, 2019-21
Percentage
Percentage whose
of children mothers
age 0-71 Went for received
months early counselling
who Received Received childhood from an AWC
received food Received health care/ pre- Were after child
State/union territory any service supplements1 immunizations check-ups school2 weighed3 was weighed
India 67.5 62.1 53.2 56.5 51.0 59.7 82.1
North
Chandigarh 59.7 56.3 39.5 50.5 32.8 51.9 72.1
Delhi 55.5 46.4 40.6 41.5 38.1 46.8 76.9
Haryana 68.7 63.2 53.7 59.4 43.4 64.6 82.7
Jammu & Kashmir 49.0 48.4 26.0 39.0 41.7 40.9 59.5
Ladakh 61.7 60.9 44.0 53.9 58.4 57.3 71.4
Punjab 52.5 48.0 37.5 38.0 35.5 40.4 79.2
Rajasthan 59.5 50.4 49.4 46.8 37.7 50.1 86.9
Uttarakhand 69.8 67.0 52.5 58.8 35.5 68.2 78.6
Central
Chhattisgarh 80.1 78.1 67.3 74.3 64.6 79.1 86.9
Madhya Pradesh 80.8 75.9 68.5 72.8 63.4 77.8 87.5
Uttar Pradesh 67.5 61.8 57.9 56.6 46.3 57.6 88.3
East
Bihar 54.0 41.3 45.3 34.0 39.3 35.2 88.5
Jharkhand 65.9 59.5 54.9 52.3 44.0 56.6 87.3
Odisha 89.0 86.5 75.8 82.6 74.0 87.6 88.1
West Bengal 79.2 77.3 44.2 66.5 70.7 72.6 58.8
Northeast
Assam 67.2 65.3 34.9 56.2 53.9 51.9 59.5
Manipur 42.0 40.9 16.3 10.1 15.5 8.7 58.7
Meghalaya 60.1 58.7 26.0 43.0 35.7 48.9 48.2
Mizoram 65.4 64.2 27.5 48.8 57.1 61.5 42.9
Nagaland 58.6 57.7 14.1 15.1 15.2 23.4 35.6
Sikkim 63.5 61.1 41.7 52.0 45.2 61.7 69.6
Tripura 72.9 70.1 42.6 53.4 62.6 59.0 62.9
West
Daman & Diu 69.1 63.8 60.3 65.2 59.2 67.9 89.0
Goa 70.3 66.3 39.8 58.4 44.8 65.5 61.3
Gujarat 68.6 65.7 59.6 64.7 57.7 68.8 88.9
Maharashtra 56.5 53.5 43.3 49.8 48.9 53.9 79.4
Continued…
369
Table 9.19 Indicators of utilization of ICDS services by state/union territory—Continued
Percentage of living children under age 6 years who received any service from an anganwadi centre (AWC) in the 12 months
preceding the survey, percentage who received specific services from an AWC in the 12 months preceding the survey, and
among children age 0-59 months who were weighed at an AWC in the 12 months preceding the survey, percentage whose
mothers received counselling from an AWC after the child was weighed, by state/union territory, India, 2019-21
Percentage
Percentage whose
of children mothers
age 0-71 Went for received
months early counselling
who Received Received childhood from an AWC
received food Received health care/ pre- Were after child
State/union territory any service supplements1 immunizations check-ups school2 weighed3 was weighed
South
Andhra Pradesh 78.3 75.6 64.6 72.5 61.9 75.9 84.3
Karnataka 81.4 77.3 71.7 74.8 69.0 76.5 90.9
Kerala 56.6 52.7 24.0 42.2 31.9 51.1 44.7
Lakshadweep 50.9 48.9 13.6 37.9 32.3 43.1 29.1
Puducherry 63.8 60.9 45.6 57.2 35.1 61.0 76.1
Tamil Nadu 76.2 73.7 61.4 69.5 58.8 72.8 83.5
Telangana 71.7 69.0 59.0 64.1 53.2 70.8 84.0

1
Supplementary food includes both food cooked and served at an AWC on a daily basis or given in the form of take home rations
2
Children age 36-71 months
3
Children age 0-59 months
370
Table 9.20 Utilization of ICDS services during pregnancy and while breastfeeding
Among children under age 6 years, percentage whose mothers received specific services from an anganwadi centre (AWC) during
pregnancy and while breastfeeding, according to background characteristics, India, 2019-21
Mother received from an AWC during pregnancy Mother received from an AWC while breastfeeding2
Health Health
Supple- and Supple- and Number of
Background No mentary Health nutrition Number of No mentary Health nutrition children
characteristic services food1 check-ups education children services food1 check-ups education breastfed
Residence
Urban 44.3 52.3 50.5 48.5 72,799 47.3 50.3 47.3 46.1 72,755
Rural 25.2 71.6 67.7 63.5 196,675 29.6 68.4 62.4 60.0 196,518
Mother's schooling
No schooling 32.2 63.7 60.6 55.6 59,620 36.6 60.9 55.3 52.3 59,557
<5 years complete 26.5 70.1 64.9 60.9 13,340 31.4 66.5 59.0 57.0 13,337
5-7 years complete 26.3 70.5 67.3 63.4 39,521 30.7 67.5 62.1 60.0 39,491
8-9 years complete 25.6 71.4 67.7 63.9 49,200 29.4 68.7 62.9 60.7 49,160
10-11 years complete 27.7 69.9 66.1 63.8 35,750 31.1 67.3 61.9 60.8 35,716
12 or more years
complete 36.4 60.5 57.7 55.0 72,043 40.1 57.7 53.7 52.1 72,012
Religion
Hindu 28.5 68.1 65.3 61.4 213,799 32.6 65.2 60.4 58.2 213,662
Muslim 37.7 59.1 54.6 51.7 43,800 41.2 56.6 50.7 48.8 43,752
Christian 31.7 67.4 56.6 56.5 5,647 35.3 64.2 52.7 53.5 5,643
Sikh 41.3 56.4 50.0 46.5 3,433 48.2 50.3 43.3 41.9 3,423
Buddhist/Neo-
Buddhist 42.0 57.5 54.6 52.1 1,309 44.1 55.7 51.5 49.2 1,309
Jain 63.9 30.1 36.0 34.5 386 67.2 31.1 31.6 30.2 386
Other 27.3 71.7 64.8 60.4 1,100 28.6 70.7 60.7 58.3 1,098
Caste/tribe
Scheduled caste 26.3 70.4 66.9 62.6 62,520 31.2 66.7 61.1 58.8 62,490
Scheduled tribe 21.0 77.2 72.6 70.1 26,900 24.2 74.7 68.6 67.0 26,875
Other backward class 29.9 66.4 63.9 59.9 116,999 33.8 63.9 59.1 56.8 116,933
Other 39.1 57.8 53.9 51.3 60,572 42.8 55.1 50.0 48.4 60,494
Don't know 41.1 55.6 48.3 43.5 2,484 44.6 53.5 42.2 39.8 2,481
Wealth quintile
Lowest 28.1 68.7 63.9 58.9 66,030 32.3 65.7 58.6 55.6 65,970
Second 25.5 71.4 67.4 63.1 58,198 29.9 68.1 61.9 59.4 58,156
Middle 24.8 72.3 68.9 65.7 52,455 28.8 69.4 64.1 62.4 52,412
Fourth 31.0 66.0 63.2 60.9 49,712 34.7 63.4 59.0 57.9 49,681
Highest 46.5 49.4 48.6 46.2 43,080 49.9 47.2 45.2 43.6 43,054
Total 30.4 66.4 63.1 59.5 269,474 34.4 63.5 58.3 56.3 269,273
1
Supplementary food includes both food cooked and served at the AWC on a daily basis or given in the form of take home rations
2
Excludes children who were not breastfed. Services are usually provided to breastfeeding mothers during the first 6 months of breastfeeding
371
Table 9.21 Women's utilization of ICDS services during pregnancy and while breastfeeding by state/union territory
Among children under age 6 years, percentage whose mothers received specific services from an anganwadi centre (AWC) during pregnancy
and while breastfeeding, by state/union territory, India, 2019-21
Mother received from an AWC Mother received from an AWC

during pregnancy while breastfeeding2
Supple- Health and Supple- Health and
mentary Health nutrition mentary Health nutrition
State/union territory No services food1 check-ups education No services food1 check-ups education
India 30.4 66.4 63.1 59.5 34.4 63.5 58.3 56.3
North
Chandigarh 46.0 50.9 52.0 51.7 47.6 48.7 48.9 48.4
Delhi 53.6 37.8 40.4 39.1 58.8 35.4 35.7 34.9
Haryana 27.8 64.8 68.9 65.0 31.6 63.1 64.4 60.9
Jammu & Kashmir 61.1 38.0 28.2 27.7 65.4 33.8 26.1 24.9
Ladakh 42.1 56.2 46.8 45.3 48.5 51.1 40.5 41.0
Punjab 47.1 51.2 44.5 41.6 53.4 45.7 38.6 37.0
Rajasthan 32.9 60.2 60.4 54.9 43.1 52.9 48.7 47.0
Uttarakhand 13.1 86.0 73.7 69.7 15.7 84.0 70.8 66.8
Central
Chhattisgarh 13.4 85.9 83.9 82.5 15.9 83.7 80.8 79.9
Madhya Pradesh 13.5 83.8 83.8 80.3 15.8 82.3 79.4 77.5
Uttar Pradesh 31.4 63.9 62.4 55.9 35.2 61.4 58.3 53.6
East
Bihar 49.2 43.8 42.0 34.9 54.2 41.8 35.0 31.5
Jharkhand 24.2 74.1 69.3 63.4 26.4 72.4 64.7 60.5
Odisha 4.1 95.6 93.6 91.6 5.3 94.6 91.1 89.9
West Bengal 20.2 79.1 68.0 67.2 24.7 74.9 62.9 63.5
Northeast
Assam 32.5 66.1 53.0 50.3 36.2 62.8 49.9 47.6
Manipur 67.3 32.6 3.6 3.1 72.5 27.3 2.6 2.0
Meghalaya 45.6 54.2 32.3 39.0 50.2 49.5 29.7 35.8
Mizoram 30.0 68.8 45.6 49.8 31.3 68.2 44.6 50.2
Nagaland 76.5 23.4 4.4 3.8 74.6 25.3 4.6 3.4
Sikkim 43.8 52.7 52.7 49.1 51.6 46.4 44.0 42.2
Tripura 23.3 76.4 53.4 55.0 29.2 70.5 50.6 51.2
West
Daman & Diu 35.5 57.1 63.6 62.7 35.6 58.7 62.6 61.3
Goa 10.1 89.7 70.9 79.6 10.8 89.0 71.3 78.5
Gujarat 26.2 71.8 72.6 70.6 29.3 69.3 69.5 68.0
Maharashtra 49.7 49.1 46.3 42.8 53.9 45.4 42.2 39.6
South
Andhra Pradesh 14.1 85.0 82.5 83.7 13.1 85.9 81.9 83.5
Karnataka 16.7 82.0 79.9 78.2 19.2 79.9 77.6 75.9
Kerala 37.0 62.5 49.1 44.5 45.1 54.5 40.8 37.6
Lakshadweep 19.4 80.6 45.5 49.4 21.5 78.5 40.9 42.5
Puducherry 19.8 79.8 68.5 70.5 27.4 72.6 62.2 63.4
Tamil Nadu 15.3 83.8 81.0 81.0 18.3 81.2 77.6 78.0
Telangana 19.1 80.5 71.9 78.4 20.3 79.3 70.4 77.1

1
Supplementary food includes both food cooked and served at the AWC on a daily basis or given in the form of take home rations
2
Excludes children who were not breastfed. Services are usually provided to breastfeeding mothers during the first 6 months of breastfeeding
372
NUTRITION AND ANAEMIA 10
Key Findings
 Nutritional status of children: Thirty-six percent of children

under age five years are stunted (short for their age); 19 percent
are wasted (thin for their height); 32 percent are underweight (thin
for their age); and 3 percent are overweight (heavy for their
height). Children born to mothers with no schooling and children
in the lowest wealth quintile are most likely to be undernourished.
 Initial breastfeeding: About two-fifths (41%) of children born in
the last 5 years were breastfed within 1 hour of birth, as
recommended. Timely initiation of breastfeeding is particularly
low for women with no schooling, for home deliveries, and for
births delivered by a dai.
 Exclusive breastfeeding: Sixty-four percent of children under
age six months are exclusively breastfed.
 Anaemia among children: Sixty-seven percent of children age
6-59 months have anaemia (haemoglobin levels below 11.0 g/dl),
which is higher than the NFHS-4 estimate of 59 percent.
 Micronutrient intake: Thirty-seven percent of children age 6-59
months were given vitamin A supplements in the six months
preceding the survey. Forty-seven percent of children age 6-23
months consumed foods rich in vitamin A in the day or night
before the interview and 21 percent consumed iron-rich foods.
 Deworming: Thirty percent of children age 6-59 months received
deworming medication in the past six months.
 Nutritional status of adults: Nineteen percent of women and 16
percent of men age 15-49 are thin. Almost the same percentage
are overweight or obese (24% of women and 23% of men).
 WHR of adults: Fifty-seven percent of women and 48 percent of
men have waist-to-hip ratio (WHR) that puts them at a substantial
increased risk of metabolic complications.
 Anaemia among adults: Fifty-seven percent of women and 25
percent of men age 15-49 have anaemia.
T
his chapter focuses on the nutritional status of children and adults, examining the types of food consumed and
the consequences of inadequate nutrition and poor infant and child feeding practices. The chapter also addresses
the diversity of food consumed by women and men age 15-49 years, as well as the prevalence of anaemia and
malnutrition.
373
10.1 NUTRITIONAL STATUS OF CHILDREN
The anthropometric data on height and weight collected in the 2019-21 NFHS permit the measurement and evaluation
of the nutritional status of young children in India. This evaluation allows identification of subgroups of the child
population that are at increased risk of faltered growth, disease, impaired mental development, and death.
10.1.1 Nutritional Status among Young Children
The 2019-21 NFHS measured the weight and height of children under age five years regardless of whether their
mothers were interviewed in the survey. Weight was measured with an electronic SECA 874 flat scale designed for
mobile use. For the weighing of very young children, the mother or caretaker was weighed first. The mother or
caretaker was weighed again while holding the child. An automatic two-in-one adjustment button allowed the mother’s
stored weight to be deducted and the baby’s weight to be displayed on the scale. Height was measured with a Seca 213
stadiometer. Children younger than age 24 months were measured lying down (recumbent length using a Seca 417
infantometer), while standing height was measured for the older children.
Children’s height/length, weight, and age data were used to calculate three indices: height-for-age, weight-for-height,
and weight-for-age. Each of these indices provides different information about growth and body composition for
assessing nutritional status, as indicated in the box below. Stunting, or low height-for-age, is a sign of chronic
undernutrition that reflects failure to receive adequate nutrition over a long period. Stunting can also be affected by
recurrent and chronic illness. Wasting, or low weight-for-height, is a measure of acute undernutrition and represents
the failure to receive adequate nutrition in the period immediately before the survey. Wasting may result from
inadequate food intake or from a recent episode of illness causing weight loss. The opposite of wasting is overweight
(high weight-for-height), a measure of overnutrition. Weight-for-age is a composite index that takes into account both
acute and chronic undernutrition.
Stunting (assessed via height-for-age)

Height-for-age is a measure of linear growth retardation and cumulative growth
deficits. Children whose height-for-age Z-score is below minus two standard
deviations (-2 SD) from the median of the reference population are considered
short for their age (stunted), or chronically undernourished. Children who are
below minus three standard deviations (-3 SD) are considered severely stunted.
Sample: Children under age five years
Wasting (assessed via weight-for-height)

Weight-for-height index measures body mass in relation to body height or length
and describes current nutritional status. Children whose Z-score is below minus
two standard deviations (-2 SD) from the median of the reference population
are considered thin (wasted), or acutely undernourished. Children whose
weight-for-height Z-score is below minus three standard deviations
(-3 SD) from the median of the reference population are considered severely
wasted.
Underweight (assessed via weight-for-age)

Weight-for-age is a composite index of height-for-age and weight-for-height. It
takes into account both acute and chronic undernutrition. Children whose
weight-for-age Z-score is below minus two standard deviations (-2 SD) from the
median of the reference population are classified as underweight. Children
whose weight-for-age Z-score is below minus three standard deviations
(-3 SD) from the median are considered severely underweight.
374
Overweight children
Children whose weight-for-height Z-score is more than 2 standard deviations
(+2 SD) above the median of the reference population are considered
overweight.
The means of the z-scores for height-for-age, weight-for-height, and weight-for-age are also calculated as summary
statistics representing the nutritional status of children in a population. These mean scores describe the nutritional status
of the entire population of children without the use of a cut-off point. A mean Z-score of less than zero (i.e., a negative
mean value for stunting, wasting, or underweight) suggests a downward shift in the entire sample population’s
nutritional status relative to the reference population. The farther away the mean z-scores are from zero, the higher is
the prevalence of undernutrition.
10.1.2 Levels of Child Malnutrition
In India, 36 percent of children under age five

years are stunted (too short for their age). Figure 10.1 Trends in Nutritional Status of Children
This is a sign of chronic undernutrition. Percentage of children age 0-59 months
Nineteen percent of children under age five
years are wasted (too thin for their height), NFHS-4 NFHS-5
which is a sign of acute undernutrition, while
32 percent of children under age five years
38
are underweight. Three percent of children 36 36
32
are overweight (Table 10.1). 21 19
Trends: The prevalence of stunting and

underweight has decreased since 2015-16. Stunted Wasted Underweight
(low height-for-age) (low weight-for-height) (low weight-for-age)
Stunting declined from 38 percent in 2015-
16 to 36 percent in 2019-21. Over this same
Note: Nutritional status estimates are based on the 2006
time period, the prevalence of wasting has WHO International Reference Population
declined from 21 percent in 2015-16 to 19
percent in 2019-21 (Figure 10.1).
 The prevalence of undernutrition is almost the same among girls and boys, although girls are slightly less well
nourished than boys on all three measures (Table 10.1).
 The prevalence of stunting increases with a child’s age from 6-8 months through 6-23 months, and it decreases
slightly thereafter.
 Over two-fifths (44%) of children who were reported to be very small at birth are stunted, compared with 35
percent of children who were of average size or larger.
 Children born to thin mothers (BMI less than 18.5 kg/m2) are more likely to be stunted, wasted, and underweight
than children born to mothers with a normal BMI or children whose mothers are overweight/obese.
 Stunting is higher among children in rural areas (37%) than urban areas (30%).
 Forty-six percent of children born to mothers with no schooling are stunted, compared with 26 percent of children
born to mothers with 12 or more years of schooling. The corresponding proportions of underweight children are
42 and 23 percent, respectively.
 The prevalence of stunting decreases steadily with an increase in wealth quintiles, from 46 percent of children in
households in the lowest wealth quintile to 23 percent of children in households in the highest wealth quintile.
375
 The prevalence of stunting in children under age five is the highest in Meghalaya (47%), followed by Bihar (43%)
and Uttar Pradesh and Jharkhand (40% each), and it is lowest in Puducherry (20%) and Sikkim (22%). Bihar has
the highest level of underweight children (41%). Maharashtra has the highest level of wasting (26%) (Figure 10.2).
Figure 10.2 Stunting in Children by State/UT

Meghalaya 47
Bihar 43
Uttar Pradesh 40
Jharkhand 40
Gujarat 39
Madhya Pradesh 36
INDIA 36
Karnataka 35
Assam 35
Maharashtra 35
Chhattisgarh 35
West Bengal 34
Telangana 33
Nagaland 33
Tripura 32
Lakshadweep 32
Rajasthan 32
Andhra Pradesh 31
Odisha 31
Delhi 31
Himachal Pradesh 31
Ladakh 31
Mizoram 29
Haryana 28
Uttarakhand 27
Jammu & Kashmir 27
Goa 26
Chandigarh 25
Tamil Nadu 25
Punjab 25
Kerala 23
Manipur 23
Sikkim 22
Puducherry 20
10.2 INFANT AND YOUNG CHILD FEEDING PRACTICES

Appropriate infant and young child feeding (IYCF) practices include exclusive breastfeeding in the first six months of
life, continued breastfeeding through age two years, introduction of solid and semi-solid foods at age six months, and
gradual increases in the amount of food given and the frequency of feeding as the child gets older. It is also important
for young children to receive a diverse diet, i.e., eating foods from different food groups to take care of the growing
micronutrient needs.
10.2.1 Initiation of Breastfeeding
Early initiation of breastfeeding is important for both the mother and the child. The first breastmilk contains colostrum,
which is highly nutritious and has antibodies that protect the newborn from diseases. Early initiation of breastfeeding
also encourages bonding between the mother and her newborn, facilitating the production of regular breastmilk. Thus,
it is recommended that children be put to the breast immediately or within one hour after birth and that prelacteal
feeding (i.e., feeding newborns anything other than breastmilk before breastmilk is regularly given) be discouraged.
Early breastfeeding
Initiation of breastfeeding within one hour of birth
Sample: Last-born children who were born in the two years before the survey
Table 10.4 shows that 96 percent of children born in the two years before the survey were breastfed at some time.
There are no major differences by background characteristics. About two-fifths (41%) of last-born children in the two
376
years before the survey who ever breastfed were breastfed within one hour of birth, and 87 percent of children began
breastfeeding within one day of birth. Sixteen percent of children received a prelacteal feed.
Early breastfeeding practices by background characteristics
 Children whose delivery was assisted by health personnel (42%) or who were born at a place other than a home or
health facility (43%) were more likely to start breastfeeding within one hour of birth than other children.
 The percentage of children that are breastfed within one hour of birth is very low in Jharkhand (22%); the only
states in which more than two-thirds of children are breastfed within one hour of birth are Odisha, Kerala,
Lakshadweep, and Meghalaya (Table 10.5).
 Prelacteal feeding ranges from a minimum of 3 percent of children in Lakshadweep to a maximum of 31 percent
of children in Chandigarh and Nagaland.
10.2.2 Exclusive Breastfeeding
Breastmilk contains all of the nutrients needed by

children in the first six months of life and is an Figure 10.3 Breastfeeding Practices by Age
uncontaminated nutritional source. It is Percentage of children under age two years
recommended that children be exclusively 100
breastfed in the first six months of their life; that Exclusive Breastfeeding and
is, they are given nothing but breastmilk. 80 breastfeeding receiving
complementary foods
Complementing breastmilk before age six months
is unnecessary and is discouraged because the 60
likelihood of contamination and the resulting risk
of diarrhoeal disease are high. Early initiation of 40 Not
complementary feeding also reduces breastmilk breastfeeding
output because the production and release of 20
breastmilk is modulated by the frequency and
intensity of suckling.
0
<2 2-3 4-5 6-8 9-11 12-17 18-23
Table 10.6 and Figure 10.3 show breastfeeding
Age in months
practices by children’s age. Sixty-four percent of
infants under age six months are exclusively breastfed. Contrary to the recommendation that children under age six
months be exclusively breastfed, many children in that age group consume other liquids, such as plain water (10%),
other milk (8%), or complementary foods (11%) in addition to breastmilk.
Trends: Exclusive breastfeeding among children under six months increased from 55 percent in 2015-16 to 64 percent
in 2019-21.
10.2.3 Median Duration of Breastfeeding
The median duration of breastfeeding in India is 32.1 months. This means that half of children have stopped
breastfeeding by age about 32 months (Table 10.7). The median duration of exclusive breastfeeding is 3.9 months,
and the median duration of predominant breastfeeding (the period in which an infant receives only water or other non-
milk liquids in addition to breastmilk) is 5.8 months.
Trends: The median duration of exclusive breastfeeding increased from 2.9 months in 2015-16 to 3.9 months in 2019-
21. The median duration of any breastfeeding also increased, from 29.6 months to 32.1 months.
377
 On average, children in rural areas are breastfed longer (median duration of 33.5 months) than their counterparts
in urban areas (median duration of 25.8 months).
 On average, children of scheduled caste and scheduled tribe mothers are breastfed longer (median duration of more
than 36 months) than the children whose mothers belong to other backward classes (median duration of 29.3
months) and children not from scheduled castes, scheduled tribes, or other backward classes (median duration of
31.4 months).
 The median duration of breastfeeding is 36.0 months or longer in ten states (Chandigarh, Jammu and Kashmir,
Chhattisgarh, Jharkhand, Odisha, West Bengal, Arunachal Pradesh, Assam, Manipur, and Tripura), and is shortest
in Andaman and Nicobar Islands (15.4 months) (Table 10.8).
10.2.4 Complementary Feeding
After the first six months, breastmilk is no longer enough to meet the nutritional needs of the infant; therefore,
complementary foods should be added to the diet of the child. Appropriate complementary feeding should include a
variety of foods to ensure that requirements for nutrients are met. Fruits and vegetables rich in vitamin A should be
consumed daily. Eating a range of fruits and vegetables, in addition to those rich in vitamin A, is also important.
Table 10.9 shows that the type of foods and liquids received by children during the day and night before the survey
depends on the child’s age and breastfeeding status. Overall, foods made from grains are the most consumed
complementary food items irrespective of breastfeeding status, followed by fruits and vegetables rich in vitamin A.
 For children age 6-23 months, consumption of liquids other than milk is lower among breastfed children (34%)
than among nonbreastfed children (43%).
 Fewer breastfed (41%) children age 6-23 months eat fruits and vegetables rich in vitamin A than nonbreastfeeding
children (48%).
 Among children age 6-23 months, the least consumed food items are fortified baby foods for breastfed and
nonbreastfed children (16% each).
10.2.5 Minimum Acceptable Diet
Infants and young children should be fed a minimum acceptable diet (MAD) to ensure appropriate growth and
development. Without adequate diversity and meal frequency, infants and young children are vulnerable to
undernutrition, especially stunting and micronutrient deficiencies, and to increased morbidity and mortality. The WHO
minimum acceptable diet recommendation, which is a combination of dietary diversity and minimum meal frequency,
is different for breastfed and nonbreastfed children. The definition of the composite indicator of a minimum acceptable
diet for all children 6-23 months is indicated in the box below.
Dietary diversity is a proxy for adequate micronutrient-density of foods. Minimum dietary diversity means feeding the
child food from at least four food groups. The cut-off of four food groups is associated with better-quality diets for
both breastfed and nonbreastfed children.
The minimum meal frequency is a proxy for a child’s energy requirements. For infants and young children, the indicator
is based on how much energy the child needs and, if the child is breastfed, the amount of energy needs not met by
breastmilk. Breastfed children are considered to be consuming a minimum meal frequency if they receive solid, semi-
solid, or soft foods at least twice a day for infants 6-8 months and at least three times a day for children 9-23 months.
Nonbreastfed children ages 6-23 months are considered to be fed with a minimum meal frequency if they receive solid,
semi-solid, or soft foods at least four times a day.
378
Minimum acceptable diet
Proportion of children age 6-23 months who receive a minimum acceptable diet. This
indicator is a composite of the following two groups:
Breastfed children age 6-23 months who had at least the minimum dietary
diversity and the minimum meal frequency during the previous day
Breastfed children age 6-23 months
and
Nonbreastfed children age 6-23 months who received at least two milk feedings,
and had at least the minimum dietary diversity (not including milk feeds), and the
minimum meal frequency during the previous day
Nonbreastfed children age 6-23 months
The 2019-21 NFHS indicates that 94 percent of youngest children age 6-23 months living with their mothers received
breastmilk, milk, or milk products (2+ times) during the day or night before the interview (Table 10.10). Twenty-four
percent of breastfed children had an adequately diverse diet since they had been given foods from the appropriate
number of food groups, while 31 percent had been fed the minimum number of times appropriate for their age. The
feeding practices of only 11 percent of breastfed children age 6-23 months meet the minimum standards for all IYCF
feeding practices. Eleven percent of all children age 6-23 months were fed the minimum acceptable diet. The IYCF
indicators for minimum acceptable diet by breastfeeding status among the youngest children age 6-23 months are
summarised in Figure 10.4.
Figure 10.4 IYCF Indicators on Minimum Acceptable Diet (MAD)

Breastfed children Nonbreastfed children All children
57
35
31
24 23
17
11 12 11
Minimum dietary diversity Minimum meal frequency Minimum acceptable diet

(IYCF Indicator 5) (IYCF Indicator 6) (IYCF Indicator 7)
 Breastfed children age 6-23 months are more likely than non-breastfed children age 6-23 months to receive the
minimum number of food groups (24% and 17%, respectively).
 Children in urban areas and rural areas have an almost equal adequately diverse diet (24% and 23%, respectively)
 Breastfed infants and non-breastfed infants are almost equally likely to meet the minimum acceptable diets (11%
and 12%, respectively).
 The percentage of children age 6-23 months who receive a minimum acceptable diet generally increases with the
mother’s schooling. For example, only 9 percent of children whose mothers have no schooling receive a minimum
acceptable diet, compared with 12 percent of children whose mothers have 12 or more years of schooling.
379
 The proportion of children age 6-23 months who receive a minimum acceptable diet is highest in Meghalaya (29%)
and the lowest in Uttar Pradesh and Gujarat (6% each). The pattern is the same among breastfed children (Table
10.11).
10.3 ANAEMIA PREVALENCE IN CHILDREN
Anaemia in children
Haemoglobin level in
Anaemia status
grams/decilitre*
Anaemic <11.0
Mildly anaemic 10.0-10.9
Moderately anaemic 7.0-9.9
Severely anaemic <7.0
Not anaemic 11.0 or higher
*Haemoglobin levels are adjusted for altitude in
enumeration areas that are above 1,000 metres
Sample: Children 6-59 months
Anaemia is a condition that is marked by low levels of

haemoglobin in the blood. Iron is a key component of Figure 10.5 Trends in Childhood Anaemia
haemoglobin, and iron deficiency is estimated to be Percentage of children age 6-59 months
responsible for half of all anaemia globally. Other causes of
anaemia include malaria, hookworm and other helminths,
other nutritional deficiencies, chronic infections, and 2.1
genetic conditions. Anaemia is a serious concern for 1.6

children because it can impair cognitive development, stunt
growth, and increase morbidity from infectious diseases. 36
29 Severe
In the 2019-21 NFHS, haemoglobin testing was performed Moderate
on children age 6-59 months. The testing was successfully Mild
completed for 91 percent of the children eligible for testing.

The methodology used to measure haemoglobin is 28 29
described in Chapter 1.
Overall, 67 percent of children had some degree of anaemia NFHS-4 NFHS-5

(haemoglobin levels below 11.0 g/dl). Twenty-nine percent
of children had mild anaemia, 36 percent had moderate anaemia, and 2 percent had severe anaemia (Table 10.12).
Trends: Between 2015-16 and 2019-21, the prevalence of anaemia among children age 6-59 months increased from
59 percent to 67 percent and continued to be higher among rural children (Table 10.12).
 Anaemia is more prevalent among children under age 35 months than among older children, with a peak prevalence
of 80 percent observed among children age 12-17 months (Table 10.12).
 Anaemia prevalence increases with increasing birth order of children and is higher among the children of anaemic
mothers than non-anaemic mothers.
 The prevalence of anaemia declines as the mother’s schooling and household wealth increase.
The prevalence of anaemia among children age 6-59 months is highest among children in Gujarat (80%), followed by
Madhya Pradesh (73%), Rajasthan (72%), and Punjab (71%). Several union territories have even higher prevalence
of anaemia—Ladakh (94%), Dadar & Nager Haveli and Daman & Diu (76%), and Jammu & Kashmir (73%). The
states with the lowest prevalence of anaemia among children are Kerala (39%), Andaman & Nicobar Islands (40%),
and Nagaland and Manipur (43% each) (Table 10.13).
380
10.4 PRESENCE OF IODIZED SALT IN HOUSEHOLDS
Iodine is an essential micronutrient, and iodized salt prevents goitre or any other thyroid-related health problems among
children and adults. It is recommended that household salt should be fortified with iodine to at least 15 parts per million
(ppm).
The 2019-21 NFHS tested for the presence or absence of potassium iodate or potassium iodide in household salt. Salt
was tested in almost all households (Table 10.15). Among the households in which salt was tested, 94 percent had
iodized salt. This is similar to NFHS-4, when 93 percent of households were using iodized salt. There is steady increase
in the use of iodized salt by household wealth quintiles, from 91 percent in the lowest wealth quintile to 97 percent in
the highest wealth quintile. Among the states, the use of iodized salt is lowest in Andhra Pradesh (83%), Dadra &
Nagar Haveli and Daman & Diu (89%), and Meghalaya (91%) (Table 10.16).
10.5 MICRONUTRIENT INTAKE AND SUPPLEMENTATION AMONG CHILDREN

Micronutrient deficiency is a major contributor to childhood morbidity and mortality. Micronutrients are available in
foods and can also be provided through direct supplementation. Breastfeeding children benefit from supplements given
to the mother.
The information collected on food consumption among the youngest children under age two years is useful in assessing
the extent to which children are consuming foods rich in two key micronutrients—vitamin A and iron—in their daily
diet. Iron deficiency is one of the primary causes of anaemia, which has serious health consequences for both women
and children. Vitamin A is an essential micronutrient for the immune system and plays an important role in maintaining
the epithelial tissue in the body. Severe vitamin A deficiency (VAD) can cause eye damage and is the leading cause of
childhood blindness. VAD also increases the severity of infections such as measles and diarrhoeal disease in children
and slows recovery from illness. VAD is common in dry environments where fresh fruits and vegetables are not readily
available.
Forty-seven percent of children age 6-23 months consumed foods rich in vitamin A in the day or night before the
interview, and 21 percent consumed iron-rich foods (Table 10.17). The intake of both vitamin A-rich and iron-rich
foods increases as children are weaned.
Among children age 6-59 months, 27 percent were given iron supplements in the seven days prior to survey. In the six
months before the survey, 37 percent of children age 6-59 months were given vitamin A supplements and 30 percent
were given deworming medication. Ninety-four percent of children age 6-59 months are in households using iodized
salt.
The percentage of children age 6-59 months given Vitamin A supplements in the last six months ranges from 20 percent
in Lakshadweep and Manipur to 47 percent in Goa (Table 10.18).
10.6 NUTRITIONAL STATUS IN ADULTS

The 2019-21 NFHS collected anthropometric data on the height and weight of women age 15-49 and men age 15-54
years. These data were used to calculate several measures of nutritional status such as women’s height and body mass
index (BMI).
381
Body mass index (BMI)
BMI is calculated by dividing weight in kilograms by height in metres
squared (kg/m2).
Status BMI (kg/m2)

Too thin for their height <18.5
Normal 18.5-24.9
Overweight 25.0-29.9
Obese ≥30.0
Sample: Women age 15-49 who are not pregnant and who have not
had a birth in the two months before the survey and men age 15-49
Information on BMI of women is provided in Table Figure 10.6 Nutritional Status of Women and Men
10.19.1 and Figure 10.6. Nineteen percent of women
Percent distribution of women and men age 15-49
age 15-49 are thin, 24 percent are overweight or
obese, and 57 percent have a BMI in the normal
range. Twelve percent of women age 15-49 years 6.4 4.0
have a height below 145 cm. 19
18
Trends: The proportion of thin women age 15-49

declined from 23 percent in 2015-16 to 19 percent in Obese
2019-21; at the same time, the proportion of Overweight
Normal weight
overweight or obese women increased from 21 57 61
Thin
percent to 24 percent. Overall, there has been a slight
increase in the mean BMI from 21.9 in 2015-16 to
22.4 in 2019-21. The proportion of women whose
height was below 145 cm was the almost the same in 19 16
2015-16 (11.1) and 2019-21 (11.5) (Figure 10.7).
Women Men
 The proportion of thin women decreases with age, from 40 percent for women age 15-19 to 9 percent for women
age 40-49, whereas the proportion of overweight or obese women increases steadily, from 5 percent of women age
15-49 to 37 percent of women age 40-49.
 The proportion of thin women is higher in rural areas (21%) than in urban areas (13%) and the reverse is observed
for the prevalence of overweight or obesity (33% in urban areas and 20% in rural areas).
 There is a steady decrease in the proportion of thin women as household wealth increases (from 28% in the lowest
wealth quintile to 10% in the highest wealth quintile), which is accompanied by a steady increase in the proportion
of overweight or obese women (from 10% in the lowest wealth quintile to 39% in the highest wealth quintile).
 The highest proportion of thin women is observed in Jharkhand and Bihar (26% each), followed by Gujarat and
Dadra & Nagar Haveli and Daman & Diu (25% each). The highest proportion of overweight or obese women is
found in Puducherry (46%), Chandigarh (44%), Delhi, Tamil Nadu, and Punjab (41% each), and Kerala and
Andaman & Nicobar Islands (38% each) (Table 10.20.1).
382
Figure 10.7 Trends in Nutritional Status
Women Men
Thin
Overweight/obese
23 24 23
21 19 20 19 16
NFHS-4 NFHS-5 NFHS-4 NFHS-5
Sixteen percent of men age 15-49 are thin, 23 percent are overweight or obese, and 61 percent have a BMI in the
normal range. The mean body mass index for men (22.4) is the same as that of women (22.4) (Table 10.19.2).
 The patterns of nutritional status by background characteristics among men are similar to those among women.
 The proportion of thin men decreases with age, from 41 percent of men age 15-19 to 8 percent of men age 40-49,
whereas the proportion of overweight or obese men increases from 7 percent of men age 15-19 to 32 percent of
men age 40-49.
 The proportion of thin men is higher in rural areas (18%) than in urban areas (13%), whereas 30 percent of men
are overweight or obese in urban areas, compared with 19 percent in rural areas.
 There is steady decrease in the proportion of thin men with increasing household wealth (from 24% in the lowest
wealth quintile to 9% in the highest wealth quintile), and a steady increase in the proportion of overweight or obese
men (from 10% in the lowest wealth quintile to 37% in the highest wealth quintile).
 The proportion of thin men is highest in Bihar (22%), followed by Madhya Pradesh and Gujarat (21% each). The
highest proportion of overweight or obese men is observed in Andaman & Nicobar Island (45%), followed by
Puducherry (43%) and Lakshadweep (41%) (Table 10.20.2).
10.7 WAIST-TO-HIP RATIO IN ADULTS
 For the first time, the 2019-21 NFHS measured the waist circumference and hip circumference of women and men
age 15-49 years.
 This information was used to calculate the waist-to-hip ratio (WHR). WHR helps to identify the distribution of
body fat and predicts abdominal obesity. Abdominal obesity is associated with an increased risk of type 2 diabetes
mellitus, myocardial infarction, stroke, and premature death.
Waist-to-hip ratio (WHR)

WHR is calculated by dividing the waist measurement by the hip measurement.
The formula is WHR=waist circumference/hip circumference. According to WHO,
a healthy WHR is:
 0.90 or less in men
 0.85 or less in women
Sample: Women age 15-49 who are not pregnant and who have not had a birth in
the two months before the survey and men age 15-49
 More than half (57%) of women and 48 percent of men have a waist-to-hip ratio (WHR) that puts them at a
substantially increased risk of metabolic complications.
383
 The proportion of adults with an increased risk WHR increases with age, from 46 percent for women age 15-19 to
65 percent for women age 40-49, and from 28 percent for men age 15-19 to 60 percent for men age 40-49.
 The proportion of women having a substantially increased risk WHR is higher in urban areas than rural areas for
both women (60% in urban area than 55% in rural area) and men (50% in urban area than 46% in rural area).
 The proportion of women having a substantially increased risk WHR is highest in Jammu & Kashmir (88%) and
lowest in Madhya Pradesh (40%). For men it is highest in Chandigarh (67%) and lowest in Meghalaya (25%).
10.8 ANAEMIA PREVALENCE IN ADULTS
Haemoglobin levels below which women and men are considered anaemic
Haemoglobin level in
Respondents grams/decilitre*
Non-pregnant women age 15-49 <11.0
Pregnant women age 15-49 <12.0
Men age 15-49 <13.0
*Haemoglobin levels are adjusted for smoking, and for altitude
in enumeration areas that are above 1,000 metres
The same equipment and procedures used to measure anaemia in children were used to measure anaemia in women
and men, except that capillary blood was collected exclusively from a finger prick.
Fifty-seven percent of women and 25 percent of men age 15-49 in India are anaemic (Table 10.23.1 and Table
10.23.2). Twenty-six percent of women are mildly anaemic, 29 percent are moderately anaemic, and 3 percent are
severely anaemic. Twenty percent of men are classified as mildly anaemic, 5 percent as moderately anaemic, and 0.4
percent as severely anaemic.
Trends: Anaemia prevalence has increased between NFHS-4 and NFHS-5, from 53 percent in 2015-16 to 57 percent
in 2019-21 among women and from 23 percent in 2015-16 to 25 percent in 2019-21 among men (Figure 10.8).
 The overall prevalence of anaemia is consistently high, at more than 50 percent, in almost all of the subgroups of
women. For men, the prevalence is above 20 percent in almost all of the subgroups.
 Anaemia varies by maternity status—61 percent of women who are breastfeeding are anaemic, compared with
52 percent of women who are pregnant and 57 percent of women who are neither pregnant nor breastfeeding.
Figure 10.8 Trends in Anaemia Status

Mild Moderate Severe Mild Moderate Severe
2.4 2.7
26 29
1.1 0.4
4.5
9.7
25 26 20
12
NFHS-4 NFHS-5 NFHS-4 NFHS-5
Women Men
384
 The prevalence of anaemia generally decreases with schooling, from 59 percent among women with no schooling
to 52 percent among women with 12 or more years of schooling. Across the same schooling groups, the prevalence
of anaemia among men decreases from 32 percent to 19 percent.
 The proportion of anaemic women and men declines steadily as the wealth of the household increases (from 64%
in the lowest wealth quintile to 51% in the highest wealth quintile among women and from 36% in the lowest
wealth quintile to 18% in the highest wealth quintile among men).
 Women in urban areas are slightly less likely to be anaemic (54%) than those in rural areas (59%). The difference
is larger for the prevalence of anaemia in men (27% in rural areas versus 20% in urban areas).
The prevalence of anaemia among women is 60 percent or more in Chhattisgarh, Bihar, Odisha, Gujarat, Jharkhand,
Assam, Tripura, West Bengal, and the prevalence is less than one-third in Lakshadweep (26%), and Nagaland and
Manipur (29% each). The prevalence of anaemia is also very high in the union territories of Ladakh (93%), Jammu &
Kashmir (66%), Dadra & Nagar Haveli and Daman & Diu (63%), and Chandigarh (60%).
Anaemia prevalence in men is highest in Ladakh (76%), West Bengal (39%), Jammu & Kashmir (27%), and Assam
(36%), and it is lowest in Lakshadweep and Manipur (6% each) and Chandigarh (9%).
10.8 FOOD CONSUMPTION OF WOMEN AND MEN

The consumption of a wide variety of nutritious foods is important for women’s and men’s health. A well-balanced
diet is required for adequate amounts of protein, fat, carbohydrates, vitamins, and minerals. The 2019-21 NFHS asked
women and men how often they consume various types of food (daily, weekly, occasionally, or never).
Among these food groups, women consume pulses and beans and dark green, leafy vegetables most often (Table
10.26.1). More than half (52%) of women consume dark green, leafy vegetables daily and an additional 39 percent
consume them weekly. Almost half (50%) of women consume pulses or beans daily and 43 percent of women consume
them weekly. Milk or curd is consumed daily by 49 percent of women daily and weekly by 24 percent of women, but
6 percent never consume milk or curd and 22 percent consume milk or curd only occasionally. Consumption of fruits
is less common. Forty-nine percent of women consume fruits occasionally. Very few women consume chicken, meat,
fish, or eggs daily, although about one-third of women consume these types of food weekly. Seven percent of women
consume fried foods daily and 36 percent weekly. Aerated drinks are consumed daily by 3 percent of women and
weekly by 13 percent of women (Table 10.25).
Men are less likely than women to completely abstain from eating chicken, meat, and fish. Overall, 29 percent of
women and 17 percent of men are vegetarians according to this measure.
Trends: The pattern of daily food consumption has remained more or less the same since 2019-21 except there has
been a decrease in the daily consumption of fried food and aerated drinks among both women and men.
 Deficiencies in the diet of both women and men are observed among those with little or no schooling, those in
rural areas, those in poorer households, and those belonging to scheduled tribes. The most prominent deficiency
in their diet is in fruits and milk or curd (Table 10.26.1 and Table 10.26.2).
 The regular consumption of pulses and beans, as well as dark green, leafy vegetables, is common in every state
(Table 10.27.1 and Table 10.27.2).
 At least four-fifths of women eat dark green, leafy vegetables at least once a week in every state except Kerala
(62%). The consumption of dark green, leafy vegetables among women at least once a week is also relatively low
in the union territories of Lakshadweep (45%).
 The consumption of other types of food at least once a week among women varies widely across the states,
particularly milk or curd (from 30% in Odisha and 36% in Mizoram to 92% in Ladakh, and 94% in Karnataka)
and the women’s consumption of fruits at least once a week ranges from 25% in Odisha to 93% in Goa.
385
LIST OF TABLES
For more information on nutrition and anaemia of children and adults, see the following tables:
Tables
Table 10.1 Nutritional status of children
Table 10.2 Nutritional status of children by state/union territory
Table 10.3 Trends in nutritional status of children
Table 10.4 Initial breastfeeding
Table 10.5 Initial breastfeeding by state/union territory
Table 10.6 Breastfeeding status by age
Table 10.7 Median duration of breastfeeding
Table 10.8 Median duration of breastfeeding by state/union territory
Table 10.9 Foods and liquids consumed by children in the day or night preceding the interview
Table 10.10 Minimum acceptable diet
Table 10.11 Minimum acceptable diet by state/union territory
Table 10.12 Prevalence of anaemia in children
Table 10.13 Prevalence of anaemia in children by state/union territory
Table 10.14 Trends in prevalence of anaemia in children
Table 10.15 Presence of iodized salt in household
Table 10.16 Presence of iodized salt in household by state/union territory
Table 10.17 Micronutrient intake among children
Table 10.18 Micronutrient intake among children by state/union territory
Table 10.19.1 Nutritional status of women
Table 10.19.2 Nutritional status of men
Table 10.20.1 Nutritional status of women by state/union territory
Table 10.20.2 Nutritional status of men by state/union territory
Table 10.21 Waist circumference and waist-to-hip ratio
Table 10.22 Waist circumference and waist-to-hip ratio by state/union territory
Table 10.23.1 Prevalence of anaemia in women
Table 10.23.2 Prevalence of anaemia in men
Table 10.24 Prevalence of anaemia in women and men by state/union territory
Table 10.25 Women’s and men’s food consumption
Table 10.26.1 Women’s food consumption
Table 10.26.2 Men’s food consumption
Table 10.27.1 Women’s food consumption by state/union territory
Table 10.27.2 Men’s food consumption by state/union territory
386
Table 10.1 Nutritional status of children
Percentage of children under age 5 years classified as malnourished according to three anthropometric indices of nutritional status: height-for-age, weight-for-height, and weight-for-age, by background
Height-for-age1 Weight-for-height Weight-for-age

Percentage Percentage Mean Number Percentage Percentage Percentage Mean Number Percentage Percentage Percentage Mean Number
below below Z-score of below below above Z-score of below below above Z-score of
Background characteristic -3 SD -2 SD2 (SD) children -3 SD -2 SD2 +2 SD (SD) children -3 SD -2 SD2 +2 SD (SD) children
Age in months
<6 13.4 24.4 -0.6 19,291 13.0 27.0 8.2 -0.8 18,053 12.1 28.5 1.7 -1.3 20,723
6-8 12.0 23.2 -0.6 9,696 9.7 23.1 5.7 -0.8 9,584 9.5 25.1 1.2 -1.2 10,100
9-11 13.3 26.2 -0.9 10,052 9.1 23.3 4.6 -0.9 9,979 9.7 27.5 1.4 -1.3 10,345
12-17 16.6 36.3 -1.3 20,135 8.6 20.5 3.8 -0.8 20,119 10.4 29.2 1.6 -1.3 20,835
18-23 21.2 43.4 -1.6 19,349 7.6 18.8 3.0 -0.8 19,146 11.7 33.1 1.1 -1.5 19,797
24-35 16.1 38.1 -1.5 40,383 7.6 18.7 2.4 -0.9 39,674 11.0 33.7 1.0 -1.5 40,955
36-47 14.5 39.2 -1.5 40,581 6.1 16.6 2.4 -0.9 39,809 10.7 34.1 0.7 -1.5 40,877
48-59 13.2 35.4 -1.5 41,789 5.7 16.7 2.5 -0.9 40,950 9.7 34.2 0.6 -1.6 42,010
Sex
Male 15.8 36.2 -1.4 104,258 8.1 20.0 3.5 -0.9 101,975 11.2 32.9 1.0 -1.5 106,597
387
Female 14.4 34.6 -1.3 97,018 7.2 18.5 3.3 -0.8 95,339 10.0 31.2 1.0 -1.4 99,044
Birth interval in months3

First birth4 12.8 31.5 -1.2 77,990 7.4 18.4 3.9 -0.8 76,548 9.1 28.6 1.1 -1.3 79,843
<24 19.7 43.2 -1.6 30,761 7.8 19.4 2.6 -0.9 30,200 13.6 37.9 0.6 -1.7 31,318
24-35 17.4 40.6 -1.5 37,125 7.6 20.0 2.7 -0.9 36,388 12.3 36.8 0.8 -1.6 37,859
36 or more 14.2 33.4 -1.2 54,024 8.0 19.8 3.7 -0.9 52,842 10.0 30.7 1.2 -1.4 55,209
Don't know 14.8 35.3 -1.3 629 10.1 26.9 2.7 -1.1 615 16.5 38.6 1.1 -1.7 642
Birth order3
1 12.8 31.5 -1.2 77,990 7.4 18.4 3.9 -0.8 76,548 9.1 28.6 1.1 -1.3 79,843
2-3 15.3 36.2 -1.4 98,828 7.8 19.7 3.2 -0.9 96,747 10.8 33.0 1.0 -1.5 100,835
4-5 20.9 44.9 -1.6 19,181 8.3 20.4 2.8 -0.9 18,828 14.4 40.0 0.7 -1.7 19,561
6 or more 25.3 48.6 -1.8 4,530 8.1 20.6 3.1 -0.9 4,470 16.7 41.8 0.8 -1.8 4,632
Continued…
Table 10.1 Nutritional status of children—Continued

Residence
Urban 12.6 30.1 -1.1 52,017 7.6 18.5 4.2 -0.8 50,858 9.1 27.3 1.5 -1.3 53,214
Rural 16.0 37.3 -1.4 149,259 7.7 19.5 3.1 -0.9 146,456 11.2 33.8 0.9 -1.5 152,427
Size at birth3
Very small 22.3 44.4 -1.7 4,734 10.5 25.2 4.0 -1.1 4,639 19.5 46.1 1.0 -1.9 4,868
Small 16.8 40.6 -1.5 15,972 8.1 22.0 2.7 -1.0 15,673 13.4 39.1 0.7 -1.7 16,306
Average or larger 14.7 34.7 -1.3 177,868 7.6 18.8 3.5 -0.8 174,327 10.1 31.0 1.0 -1.4 181,697
Don't know 20.4 44.7 -1.7 1,956 8.4 21.1 2.3 -1.0 1,954 14.0 39.4 0.7 -1.7 1,998
Mother's schooling5
No schooling 22.5 46.3 -1.7 42,509 8.8 21.5 2.9 -1.0 41,730 15.5 42.1 0.7 -1.8 43,386
388
<5 years complete 17.6 42.1 -1.6 9,738 8.5 21.3 2.6 -1.0 9,536 13.3 38.9 0.6 -1.7 9,907
5-7 years complete 16.7 40.1 -1.5 29,153 7.5 19.7 3.0 -0.9 28,553 11.5 35.7 0.8 -1.6 29,690
8-9 years complete 14.4 35.6 -1.4 37,779 7.3 19.3 3.3 -0.9 37,072 10.2 32.4 1.0 -1.5 38,616
10-11 years complete 12.2 31.0 -1.2 27,130 7.4 18.9 3.4 -0.9 26,556 8.9 28.2 1.1 -1.4 27,713
12 or more years complete 10.0 25.7 -1.0 54,967 7.2 17.0 4.3 -0.7 53,866 7.2 23.1 1.5 -1.1 56,329
Religion
Hindu 15.0 35.5 -1.3 159,545 7.6 19.3 3.3 -0.9 156,491 10.7 32.3 1.0 -1.5 162,943
Muslim 16.2 36.8 -1.3 32,788 8.3 20.0 3.7 -0.9 32,012 11.2 32.8 1.2 -1.5 33,575
Christian 13.3 31.3 -1.2 4,358 6.6 16.4 3.9 -0.7 4,284 7.5 26.2 1.1 -1.3 4,426
Sikh 8.6 23.6 -1.0 2,446 4.2 11.9 4.5 -0.4 2,436 4.8 18.3 1.5 -0.9 2,484
Buddhist/Neo-Buddhist 15.6 35.4 -1.2 1,010 11.9 23.0 4.4 -1.0 982 10.4 35.5 1.8 -1.5 1,031
Jain 17.5 28.5 -1.1 283 5.5 12.8 3.8 -0.5 276 5.1 15.5 4.6 -0.9 304
Other 20.4 40.3 -1.5 847 9.0 21.2 3.7 -0.9 834 17.0 42.3 1.1 -1.7 878
Continued…

Caste/tribe
Scheduled caste 17.1 39.2 -1.5 47,923 7.7 19.7 3.1 -0.9 47,062 11.5 35.1 0.8 -1.6 48,958
Scheduled tribe 18.7 40.9 -1.5 20,915 9.4 23.2 3.3 -1.0 20,411 14.6 39.5 0.9 -1.7 21,397
Other backward class 14.3 34.8 -1.3 85,331 7.4 18.9 3.2 -0.9 83,631 10.2 31.2 0.9 -1.4 87,061
Other 12.8 30.1 -1.1 45,202 7.3 17.5 4.3 -0.7 44,340 8.8 27.0 1.5 -1.3 46,295
Don't know 16.0 40.2 -1.5 1,907 7.7 21.5 2.3 -1.0 1,870 10.5 36.8 0.4 -1.6 1,930
Mother's interview status

Interviewed 15.1 35.5 -1.3 200,530 7.7 19.3 3.4 -0.9 196,594 10.6 32.1 1.0 -1.5 204,871
Not interviewed but in
household 15.4 32.2 -1.2 747 8.0 18.4 4.2 -0.9 720 11.2 29.2 1.6 -1.4 770
389
Mother's nutritional status6
Underweight (BMI <18.5 kg/m2) 19.2 43.4 -1.6 38,948 8.5 24.3 2.3 -1.1 38,377 14.8 43.2 0.6 -1.8 39,796
Normal (BMI 18.5-24.9 kg/m2) 15.3 35.5 -1.3 122,904 8.2 19.6 3.5 -0.9 120,174 10.7 32.0 1.0 -1.5 125,641
Overweight (BMI ≥25.0 kg/m2) 10.3 27.3 -1.1 38,194 5.0 12.9 4.3 -0.5 37,577 6.2 21.0 1.5 -1.1 38,902
Child's living arrangements

Living with both parents 15.0 35.4 -1.3 163,839 7.8 19.3 3.4 -0.9 160,510 10.7 32.2 1.1 -1.5 167,259
Living with mother (not father) 15.5 36.0 -1.3 37,028 7.3 18.9 3.4 -0.8 36,395 10.3 31.6 0.9 -1.4 37,952
Living with father (not mother) 17.2 34.1 -1.2 165 8.3 17.6 2.5 -0.8 161 6.2 29.3 0.0 -1.3 171
Living with neither parent 12.9 28.3 -1.1 244 10.1 19.9 4.4 -0.7 249 9.5 26.7 1.0 -1.4 259
Continued…

Wealth quintile
Lowest 21.8 46.1 -1.7 49,129 8.6 22.5 2.7 -1.0 48,274 15.4 43.1 0.7 -1.8 50,278
Second 16.9 39.7 -1.5 44,146 7.9 19.9 2.9 -0.9 43,285 11.7 35.6 0.8 -1.6 45,057
Middle 13.7 34.4 -1.3 39,797 7.3 18.4 3.5 -0.8 39,013 9.6 30.3 0.9 -1.4 40,637
Fourth 10.7 28.1 -1.1 37,341 7.2 17.7 3.8 -0.8 36,591 7.5 25.4 1.2 -1.2 38,085
Highest 9.1 22.9 -0.8 30,863 7.0 16.2 4.8 -0.6 30,151 6.7 20.1 1.8 -1.0 31,585
Total 15.1 35.5 -1.3 201,276 7.7 19.3 3.4 -0.9 197,314 10.6 32.1 1.0 -1.5 205,641
Note: Table is based on children who stayed in the household the night before the interview. Each of the indices is expressed in standard deviation (SD) units from the median of the WHO Child Growth Standards. Table is based
on children with valid dates of birth (month and year) and valid measurement of both height and weight.
BMI = Body mass index
1
Recumbent length is measured for children under age 2; standing height is measured for all other children
390
2 Includes children who are below -3 standard deviations (SD) from the WHO Child Growth Standards population median
3 Excludes children whose mothers were not interviewed
4
First-born twins (triplets, etc.) are counted as first births because they do not have a previous birth interval
5 For women who are not interviewed, information is taken from the Household Questionnaire. Excludes children whose mothers are not listed in the household schedule.
6 Excludes children whose mothers were not weighed and measured, children whose mothers were not interviewed, and children whose mothers are pregnant or gave birth within the preceding 2 months. Mother's nutritional
status in terms of BMI (Body Mass Index) is presented in Table 10.19.1.

Table 10.2 Nutritional status of children by state/union territory
Percentage of children under age 5 years classified as malnourished according to three anthropometric indices of nutritional status: height-for-age, weight-for-height, and weight-for-age, according
to state/union territory, India, 2019-21

Percentage Percentage Mean Percentage Percentage Percentage Mean Percentage Percentage Percentage Mean
below below Z-score below below above Z-score below below above Z-score
State/union territory -3 SD -2 SD2 (SD) -3 SD -2 SD2 +2 SD (SD) -3 SD -2 SD2 +2 SD (SD)
India 15.1 35.5 -1.3 7.7 19.3 3.4 -0.9 10.6 32.1 1.0 -1.5
North
Chandigarh 7.0 25.3 -1.1 2.3 8.4 1.8 -0.6 5.9 20.6 0.0 -1.1
Delhi 11.1 30.9 -1.2 4.9 11.2 4.0 -0.5 5.9 21.8 1.3 -1.1
Haryana 10.6 27.5 -1.2 4.4 11.5 3.3 -0.6 5.9 21.5 1.1 -1.1
Himachal Pradesh 13.7 30.8 -1.2 6.9 17.4 5.7 -0.7 7.4 25.5 1.2 -1.2
Jammu & Kashmir 11.7 26.9 -0.6 9.7 19.0 9.6 -0.4 8.4 21.0 5.2 -0.8
Ladakh 15.2 30.5 -0.8 9.1 17.5 13.4 -0.2 8.1 20.4 4.3 -0.8
Punjab 9.0 24.5 -1.0 3.6 10.6 4.1 -0.4 4.3 16.9 1.7 -0.9
Rajasthan 12.8 31.8 -1.2 7.6 16.8 3.3 -0.7 9.4 27.6 0.8 -1.3
391
Uttarakhand 10.6 27.0 -1.0 4.7 13.2 4.1 -0.5 6.7 21.0 1.6 -1.0
Central
Chhattisgarh 14.3 34.6 -1.3 7.5 18.9 4.0 -0.9 9.9 31.3 1.4 -1.4
Madhya Pradesh 14.0 35.7 -1.4 6.5 18.9 2.0 -0.9 10.8 33.0 0.7 -1.5
Uttar Pradesh 17.9 39.7 -1.5 7.3 17.3 3.1 -0.8 11.1 32.1 0.8 -1.5
East
Bihar 20.0 42.9 -1.6 8.8 22.9 2.4 -1.1 13.9 41.0 0.6 -1.7
Jharkhand 17.7 39.6 -1.5 9.1 22.4 2.8 -1.0 14.3 39.4 0.9 -1.7
Odisha 11.4 31.0 -1.2 6.1 18.1 3.5 -0.8 8.4 29.7 1.3 -1.4
West Bengal 14.3 33.8 -1.3 7.1 20.3 4.3 -0.9 10.2 32.2 0.9 -1.5
Continued…
Table 10.2 Nutritional status of children by state/union territory—Continued

Northeast
Arunachal Pradesh 12.4 28.0 -0.9 6.5 13.1 9.6 -0.1 6.0 15.4 4.0 -0.6
Assam 15.7 35.3 -1.3 9.0 21.7 4.8 -0.9 11.5 32.8 1.5 -1.5
Manipur 7.3 23.4 -1.0 3.4 9.9 3.3 -0.4 3.3 13.3 0.9 -0.9
Meghalaya 22.0 46.5 -1.7 4.7 12.1 4.0 -0.4 7.4 26.6 1.2 -1.3
Mizoram 11.9 28.9 -1.0 4.9 9.8 10.0 -0.0 3.3 12.7 3.3 -0.6
Nagaland 14.9 32.7 -1.0 7.9 19.1 4.9 -0.7 8.1 26.9 1.6 -1.1
Sikkim 11.6 22.3 -0.6 6.6 13.6 9.6 -0.2 6.7 13.1 2.2 -0.7
Tripura 15.7 32.3 -1.2 7.3 18.2 8.2 -0.5 8.7 25.6 1.4 -1.2
West
392
Daman & Diu 14.8 39.4 -1.5 4.3 21.6 1.9 -1.0 13.3 38.7 0.3 -1.7
Goa 8.1 25.8 -1.0 7.5 19.1 2.8 -1.0 6.6 24.0 0.9 -1.3
Gujarat 18.3 39.0 -1.4 10.6 25.1 3.9 -1.1 14.5 39.7 0.8 -1.7
Maharashtra 14.4 35.2 -1.2 10.9 25.6 4.1 -1.1 12.6 36.1 1.3 -1.6
Continued…
Table 10.2 Nutritional status of children by state/union territory—Continued

South
Andaman & Nicobar Islands 10.4 22.5 -1.0 4.8 16.0 5.4 -0.6 7.7 23.6 1.1 -1.0
Andhra Pradesh 11.3 31.2 -1.3 6.0 16.1 2.7 -0.9 8.8 29.6 1.1 -1.4
Karnataka 14.9 35.4 -1.2 8.4 19.5 3.2 -0.9 10.6 32.9 1.2 -1.5
Kerala 7.1 23.4 -0.9 5.8 15.8 4.0 -0.7 4.6 19.7 1.2 -1.1
Lakshadweep 7.6 32.0 -1.2 8.7 17.4 10.5 -0.3 10.4 25.8 1.7 -1.1
Puducherry 9.6 20.0 -1.0 3.7 12.4 3.8 -0.5 3.5 15.3 1.5 -0.9
Tamil Nadu 9.2 25.0 -1.0 5.5 14.6 4.3 -0.7 6.2 22.0 1.3 -1.1
Telangana 13.5 33.1 -1.2 8.5 21.7 3.4 -1.0 10.3 31.8 1.1 -1.5
Note: Table is based on children who stayed in the household the night before the interview. Each of the indices is expressed in standard deviation (SD) units from the median of the WHO Child Growth Standards. Table is
based on children with valid dates of birth (month and year) and valid measurements of both height and weight.
393
1
2
Includes children who are below -3 standard deviations (SD) from the International Reference Population median
Table 10.3 Trends in nutritional status of children
Percentage of children under age 5 years classified as malnourished according to three anthropometric indices of
nutritional status: height-for-age, weight-for-height, and weight-for-age, by residence, India, NFHS-5 and NFHS-4
NFHS-5 (2019-21) NFHS-4 (2015-16)

Measure of nutrition Urban Rural Total Urban Rural Total
Height-for-age1
Percentage below -3 SD 12.6 16.0 15.1 12.0 17.9 16.3
Percentage below -2 SD2 30.1 37.3 35.5 31.0 41.2 38.4
Weight-for-height
Weight-for-age
Note: Table is based on children who stayed in the household the night before the interview. Each of the indices is expressed
in standard deviation (SD) units from the median of the WHO Child Growth Standards. Table is based on children with valid
dates of birth (month and year) and valid measurements of both height and weight.
1
2
Includes children who are below -3 standard deviations (SD) from the International Reference Population median
394
Table 10.4 Initial breastfeeding
Among last-born children who were born in the 2 years preceding the survey, percentage who were ever breastfed and percentages
who started breastfeeding within 1 hour and within 1 day of birth; and among last-born children born in the 2 years preceding the
survey who were ever breastfed, percentage who received a prelacteal feed in the first 3 days after birth, according to background
characteristics, 2019-21
Among last-born children born in the

Among last-born children born in the past 2 years: past 2 years who were ever breastfed:
who started who started
breastfeeding breastfeeding Number of Percentage Number of
Percentage within 1 hour within 1 day last-born who received a last-born ever
Background characteristic ever breastfed of birth of birth1 children prelacteal feed2 breastfed children
Residence
Urban 96.2 44.2 85.4 22,606 17.8 21,740
Rural 95.8 40.4 87.3 64,661 14.7 61,944
Sex
Male 95.7 41.5 86.2 45,305 16.1 43,377
Female 96.1 41.3 87.5 41,963 14.9 40,307
Mother's schooling
No schooling 95.2 36.9 87.6 16,481 13.9 15,682
<5 years complete 95.9 44.6 89.2 3,704 13.4 3,553
5-7 years complete 96.1 41.8 87.7 11,755 13.4 11,298
8-9 years complete 96.0 42.0 87.1 16,693 14.7 16,019
10-11 years complete 95.8 45.3 87.3 12,065 14.9 11,561
12 or more years complete 96.2 41.5 85.1 26,568 18.5 25,571
Religion
Hindu 96.1 40.4 86.8 69,298 15.7 66,608
Muslim 95.0 43.4 86.8 14,185 14.7 13,476
Christian 96.6 59.0 90.8 1,809 11.9 1,747
Sikh 91.5 49.4 76.7 1,065 25.5 975
Buddhist/Neo-Buddhist 97.0 53.6 86.9 402 10.9 390
Jain 98.8 50.5 86.9 132 13.5 131
Other 95.5 35.6 91.3 375 9.8 358
Caste/tribe
Scheduled caste 95.6 41.3 87.2 20,299 14.5 19,408
Scheduled tribe 96.5 46.0 90.9 8,925 10.1 8,616
Other backward class 96.1 38.6 86.4 37,948 16.1 36,478
Other 95.4 44.8 85.2 19,306 17.7 18,415
Don't know 97.1 45.2 85.3 790 21.6 767
Assistance at delivery
Health personnel3 96.0 42.1 87.0 79,313 15.3 76,142
Dai (TBA) 95.4 33.9 84.4 4,138 19.5 3,949
Other/no one 94.2 34.7 85.3 3,816 16.0 3,594
Place of delivery
Health facility 96.0 42.2 87.0 79,009 15.2 75,880
At home 94.5 33.3 84.5 8,060 18.9 7,619
Other 93.5 43.3 75.8 198 19.3 185
Continued…
395
Table 10.4 Initial breastfeeding—Continued
Among last-born children who were born in the 2 years preceding the survey, percentage who were ever breastfed and percentages
who started breastfeeding within 1 hour and within 1 day of birth; and among last-born children born in the 2 years preceding the
survey who were ever breastfed, percentage who received a prelacteal feed in the first 3 days after birth, according to background
characteristics, 2019-21
Among last-born children born in the

Among last-born children born in the past 2 years: past 2 years who were ever breastfed:
who started who started
breastfeeding breastfeeding Number of Percentage Number of
Percentage within 1 hour within 1 day last-born who received a last-born ever
Background characteristic ever breastfed of birth of birth1 children prelacteal feed2 breastfed children
Wealth quintile
Lowest 95.5 39.3 88.9 21,001 11.9 20,059
Second 95.8 39.1 87.4 18,826 14.0 18,035
Middle 96.1 42.6 87.6 17,319 15.1 16,650
Fourth 96.0 44.2 86.0 16,269 17.1 15,612
Highest 96.2 43.0 82.7 13,852 21.5 13,327
Total 95.9 41.4 86.8 87,267 15.5 83,684
Note: Table is based on last-born children born in the 2 years preceding the survey regardless of whether the children are living or dead at the time of
the interview.
TBA = Traditional birth attendant
1
Includes children who started breastfeeding within 1 hour of birth
2
Children given something other than breast milk during the first 3 days of life
3
Doctor, nurse, midwife, auxiliary nurse midwife, lady health visitor, or other health personnel
396
Table 10.5 Initial breastfeeding by state/union territory
Among last-born children who were born in the 2 years preceding the survey, percentage who were ever breastfed and
percentages who started breastfeeding within 1 hour and within 1 day of birth; and among last-born children born in
the 2 years preceding the survey who were ever breastfed, percentage who received a prelacteal feed in the first 3 days
after birth, according to state/union territory, India, 2019-21
Among last-born
children born in the
past 2 years who
Among last-born children born in the past 2 years: were ever breastfed:
Percentage who Percentage who Percentage who
Percentage started breastfeeding started breastfeeding received a
State/union territory ever breastfed within 1 hour of birth within 1 day of birth1 prelacteal feed2
India 95.9 41.4 86.8 15.5
North
Chandigarh 89.1 64.7 73.4 30.7
Delhi 97.0 51.0 85.1 19.8
Haryana 94.4 41.5 81.1 20.6
Jammu & Kashmir 94.1 57.4 91.2 18.0
Ladakh 92.5 57.7 92.5 14.3
Punjab 92.0 50.8 74.9 27.8
Rajasthan 97.7 40.3 90.2 12.3
Uttarakhand 95.5 42.4 76.9 30.1
Central
Chhattisgarh 97.6 32.3 92.1 6.9
Madhya Pradesh 96.7 41.2 89.6 11.6
Uttar Pradesh 94.8 23.8 81.0 22.9
East
Bihar 95.0 31.1 84.5 18.1
Jharkhand 96.6 21.5 88.2 13.8
Odisha 97.2 67.5 93.3 6.0
West Bengal 95.2 59.3 90.9 8.0
Northeast
Assam 95.9 49.2 93.1 6.2
Manipur 96.4 53.4 89.0 29.4
Meghalaya 96.6 80.1 94.6 17.6
Mizoram 96.8 62.5 94.1 12.3
Nagaland 96.8 57.0 88.4 30.7
Sikkim 94.2 35.9 92.1 17.4
Tripura 97.1 34.3 89.8 6.4
West
Daman & Diu 97.4 25.9 90.9 11.8
Goa 100.0 62.2 92.6 9.9
Gujarat 97.3 38.0 85.9 17.4
Maharashtra 97.4 52.9 88.0 16.7
Continued…
397
Table 10.5 Initial breastfeeding by state/union territory—Continued
Among last-born children who were born in the 2 years preceding the survey, percentage who were ever breastfed
and percentages who started breastfeeding within 1 hour and within 1 day of birth; and among last-born children born
in the 2 years preceding the survey who were ever breastfed, percentage who received a prelacteal feed in the first 3
days after birth, according to state/union territory, India, 2019-21
Among last-born
children born in the
past 2 years who
were ever
Among last-born children born in the past 2 years: breastfed:
Percentage who Percentage who Percentage who
Percentage started breastfeeding started breastfeeding received a
State/union territory ever breastfed within 1 hour of birth within 1 day of birth1 prelacteal feed2
South
Andhra Pradesh 96.1 51.6 88.3 14.3
Karnataka 94.6 48.5 88.8 13.0
Kerala 98.6 69.6 95.2 8.2
Lakshadweep 99.1 76.2 99.1 2.9
Puducherry 96.5 55.1 93.9 3.8
Tamil Nadu 95.9 61.3 91.4 7.9
Telangana 97.6 38.3 87.8 13.9
Note: Table is based on last-born children born in the 2 years preceding the survey regardless of whether the children are living or
dead at the time of the interview.
1
Includes children who started breastfeeding within 1 hour of birth
2 Children given something other than breast milk during the first 3 days of life
398
Table 10.6 Breastfeeding status by age
Percent distribution of youngest children under age 2 years living with their mother by breastfeeding status and percentage currently breastfeeding, and percentage of all children under
age 2 years using a bottle with a nipple, according to age in months, India, 2019-21
Number of
Breastfeeding and consuming: youngest
Percentage children under Percentage Number of
Not Exclusively Plain Non-milk Other Complementary currently age 2 years living using a bottle children under
Age in months breastfeeding breastfed water only liquids1 milk foods Total breastfeeding with their mother with a nipple age 2 years
<2 5.0 75.7 4.2 1.0 6.0 8.2 100.0 95.0 7,260 7.8 7,324
2-3 4.8 67.1 9.7 1.3 8.0 9.2 100.0 95.2 7,558 11.3 7,642
4-5 4.9 48.9 16.4 2.3 11.3 16.3 100.0 95.1 7,588 17.2 7,658
6-8 6.4 20.1 14.4 3.7 9.5 45.9 100.0 93.6 10,708 22.1 10,805
9-11 7.7 8.7 8.6 2.8 7.0 65.2 100.0 92.3 10,934 24.6 11,063
12-17 15.3 4.6 5.3 1.9 4.3 68.6 100.0 84.7 21,517 27.0 22,183
18-23 24.9 3.0 2.6 1.3 3.1 65.1 100.0 75.1 19,094 25.3 21,064
0-3 4.9 71.3 7.0 1.1 7.0 8.7 100.0 95.1 14,818 9.6 14,966
399
0-5 4.9 63.7 10.2 1.5 8.4 11.2 100.0 95.1 22,406 12.2 22,624
6-9 6.5 17.6 13.3 3.6 9.1 49.8 100.0 93.5 14,398 22.6 14,533
12-15 13.9 5.0 5.9 1.9 4.6 68.8 100.0 86.1 14,653 26.5 14,982
12-23 19.8 3.8 4.0 1.6 3.8 66.9 100.0 80.2 40,611 26.1 43,247
20-23 26.8 2.7 2.3 1.3 2.9 63.9 100.0 73.2 12,453 24.6 13,962
Note: Note: Breastfeeding status refers to a "24-hour" period (yesterday during the day or at night). Children who are classified as breastfeeding and consuming plain water only consumed no liquid or solid
supplements. The categories of not breastfeeding, exclusively breastfed, breastfeeding and consuming plain water, non-milk liquids/juice, other milk, and complementary foods (solids and semi-solids) are
hierarchical and mutually exclusive, and their percentages add to 100 percent. Children who receive breast milk and non-milk liquids and who do not receive other milk and who do not receive complementary
foods are classified in the non-milk liquid category even though they may also get plain water.
1 Non-milk liquids include juice, juice drinks, clear broth, or other liquids
Table 10.7 Median duration of breastfeeding
Median duration of any breastfeeding, exclusive breastfeeding, and predominant breastfeeding among last-born
children born in the 3 years preceding the survey, by background characteristics, India, 2019-21
Median duration (months) of breastfeeding among

last-born children born in the past 3 years1
Any Exclusive Predominant Number of
Background characteristic breastfeeding breastfeeding breastfeeding2 children
Sex
Male 32.9 3.8 5.7 63,837
Female 30.6 4.0 5.9 57,624
Residence
Urban 25.8 3.5 5.4 32,582
Rural 33.5 4.0 6.0 88,878
Mother's schooling
No schooling ≥36.0 3.8 6.5 23,195
<5 years complete 34.0 3.5 6.1 5,326
5-7 years complete 33.0 3.9 5.8 16,527
8-9 years complete ≥36.0 3.9 6.0 22,679
10-11 years complete 31.1 4.0 5.6 16,747
Religion
Hindu 32.7 4.0 5.9 96,507
Muslim 28.3 3.2 5.6 19,617
Christian 26.0 3.2 4.8 2,527
Sikh 25.8 3.0 5.5 1,550
Buddhist/Neo-Buddhist 33.0 4.9 6.0 554
Jain 24.7 3.2 3.3 197
Other ≥36.0 5.4 7.8 508
Caste/tribe
Scheduled caste ≥36.0 4.1 6.0 27,991
Scheduled tribe ≥36.0 4.8 6.5 12,197
Other 31.4 3.4 5.3 27,560
Don't know 30.5 3.6 5.3 1,088
Wealth quintile
Lowest ≥36.0 4.0 6.3 28,596
Second ≥36.0 4.0 6.1 25,961
Middle 31.5 4.0 5.7 23,782
Fourth 26.0 3.5 5.5 23,027
Highest 24.3 3.8 5.4 20,096
Total 32.1 3.9 5.8 121,461
Mean for all children 13.9 9.3 10.2 na

Note: Median and mean durations are based on breastfeeding status of the child at the time of the survey (current status). Includes
living and deceased children.
na = Not applicable
1
For last-born children under age 24 months who live with the mother and are breastfeeding, information to determine exclusive
and predominant breastfeeding comes from a 24-hour dietary recall. Tabulations assume that last-born children age 24 months or
older who live with the mother and are breastfeeding are neither exclusively nor predominantly breastfed. It is assumed that last-
born children not currently living with the mother and all non-last-born children are not currently breastfeeding.
2 Either exclusively breastfed or received breast milk and plain water, and/or non-milk liquids only
400
Table 10.8 Median duration of breastfeeding by state/union territory
Median duration of any breastfeeding, exclusive breastfeeding, and predominant breastfeeding among
last-born children born in the 3 years preceding the survey, percentage of children under 3 years using a
bottle with a nipple, according to state/union territory, India, 2019-21
Median duration (months) of breastfeeding among

last-born children born in the past 3 years1 Percentage
Any Exclusive Predominant using a bottle
State/union territory breastfeeding breastfeeding breastfeeding2 with a nipple
India 32.1 3.9 5.8 21.9
North
Chandigarh ≥36.0 0.7 5.3 26.4
Delhi 29.1 3.6 4.8 34.9
Haryana 28.0 4.8 6.3 26.7
Jammu & Kashmir ≥36.0 4.6 5.7 30.3
Ladakh 32.9 4.2 4.7 33.7
Punjab 26.3 3.0 5.7 35.2
Rajasthan 28.5 4.8 6.9 16.2
Uttarakhand 27.7 2.4 3.4 37.1
Central
Chhattisgarh ≥36.0 6.7 7.2 7.3
Madhya Pradesh 32.7 5.1 6.9 14.2
Uttar Pradesh 33.4 3.6 6.5 29.5
East
Bihar 34.2 3.2 5.6 19.1
Jharkhand ≥36.0 5.9 7.3 13.2
Odisha ≥36.0 4.4 5.2 12.0
West Bengal ≥36.0 2.7 4.6 22.3
Northeast
Arunachal Pradesh ≥36.0 3.8 5.2 21.5
Assam ≥36.0 3.9 5.7 15.3
Manipur ≥36.0 3.8 4.4 13.3
Meghalaya 21.5 1.8 4.3 24.6
Mizoram 24.5 4.2 5.9 17.7
Nagaland 16.8 0.7 4.1 40.3
Sikkim 30.8 1.9 4.6 31.3
Tripura ≥36.0 3.4 4.6 28.2
West
Daman & Diu 30.8 5.4 6.9 16.1
Goa 30.6 3.3 3.7 43.2
Gujarat 24.6 3.7 5.9 17.6
Maharashtra 24.2 4.3 6.0 13.1
South
Andhra Pradesh 22.1 4.1 5.2 28.4
Karnataka 24.5 3.9 5.6 20.9
Kerala 27.1 3.0 4.9 28.0
Lakshadweep 23.8 4.2 7.1 12.3
Puducherry 18.8 3.9 4.9 31.3
Tamil Nadu 19.2 2.9 4.7 33.0
Telangana 26.3 4.8 5.9 21.0
1
For last-born children under age 24 months who live with the mother and are breastfeeding, information to
determine exclusive and predominant breastfeeding comes from a 24-hour dietary recall. Tabulations assume that
last-born children age 24 months or older who live with the mother and are breastfeeding are neither exclusively nor
predominantly breastfed. It is assumed that last-born children not currently living with the mother and all non-last-
born children are not currently breastfeeding.
2
Either exclusively breastfed or received breast milk and plain water, and/or non-milk liquids only
401
Table 10.9 Foods and liquids consumed by children in the day or night preceding the interview
Percentage of youngest children under age 2 years living with the mother who consumed specific types of liquids and foods in the day or night preceding the interview, by breastfeeding status and age, India, 2019-21
Liquids Solid or semi-solid foods

Fruits and Other fruits Food made from Meat, fish, Cheese, Any solid or
Infant Other Fortified baby Food made vegetables rich and Food made beans, peas, poultry, and yogurt, other semi- solid Number
Age in months formula Other milk1 liquids2 foods from grains3 in vitamin A4 vegetables from roots lentils, nuts eggs milk product food of children
BREASTFEEDING CHILDREN
<2 2.2 10.0 5.7 1.5 6.5 5.8 4.1 3.4 2.4 2.8 3.1 8.6 6,896
2-3 2.7 12.2 6.2 2.0 6.3 5.5 3.6 3.7 2.3 3.1 3.4 9.6 7,197
4-5 4.1 18.2 9.2 5.2 10.1 6.7 4.0 3.9 2.9 3.4 4.0 17.1 7,217
6-8 8.5 28.8 21.0 13.9 33.4 17.4 12.4 11.8 8.0 7.9 8.4 49.0 10,024
9-11 12.0 36.4 31.0 16.8 54.8 33.1 22.3 22.1 13.6 15.6 13.5 70.6 10,092
12-17 12.0 41.2 37.2 15.9 65.6 46.1 30.9 30.3 19.2 23.1 19.8 81.0 18,223
18-23 13.1 43.3 42.3 17.2 72.2 55.1 37.7 35.9 25.0 29.7 23.7 86.6 14,343
<3 2.2 10.4 5.7 1.6 6.4 5.6 3.8 3.5 2.3 2.8 3.1 8.6 10,496
3-5 3.7 16.6 8.4 4.2 8.9 6.4 4.0 3.9 2.7 3.3 3.9 15.0 10,814
6-23 11.6 38.5 34.3 16.0 59.2 40.6 27.6 26.7 17.6 20.6 17.5 74.4 52,683
0-23 9.1 31.3 26.5 12.2 44.4 30.6 20.8 20.1 13.3 15.6 13.5 56.4 73,993
NONBREASTFEEDING CHILDREN
402
<2 6.6 24.7 12.2 4.3 11.6 11.9 8.0 4.8 3.6 5.4 7.5 16.4 364
2-3 4.6 28.4 9.8 2.3 6.2 5.4 4.3 3.1 4.6 4.6 6.2 14.4 361
4-5 8.6 41.3 14.5 10.6 13.6 6.7 6.1 4.9 3.1 5.8 8.8 23.8 371
6-8 12.7 51.0 23.2 15.6 35.5 19.9 12.9 11.5 11.7 8.4 12.5 54.2 684
9-11 13.2 60.6 36.1 14.0 54.4 34.2 20.7 22.4 11.6 17.3 16.9 70.8 842
12-17 14.3 66.4 43.6 17.1 67.1 46.6 32.8 28.4 18.9 24.2 26.5 84.1 3,294
18-23 15.6 60.8 45.7 16.1 72.2 54.6 40.1 31.8 23.2 29.9 30.3 87.7 4,750
<3 5.8 24.5 11.9 3.3 10.0 10.2 7.2 4.6 4.9 6.3 7.6 16.6 540
3-5 7.4 38.3 12.4 8.2 11.0 5.9 5.2 3.9 2.7 4.3 7.3 19.8 556
6-23 14.7 62.0 42.5 16.2 66.2 47.6 33.9 28.4 19.9 25.3 26.5 82.6 9,570
0-23 13.9 58.9 39.4 15.1 60.5 43.5 31.1 25.9 18.2 23.2 24.6 76.0 10,665
Note: Breastfeeding status and food consumed refer to a "24-hour" period (yesterday during the day or at night).
1
Other milk includes tinned, powdered, and fresh animal milk
2
Does not include plain water. Includes juice, juice drinks, clear broth, or other non-milk liquids.
3
Includes fortified baby food
4
Includes pumpkin, carrots, squash, sweet potatoes that are yellow or orange inside, dark green leafy vegetables, ripe mangoes, papayas, cantaloupe, and jackfruit
Table 10.10 Minimum acceptable diet
Percentage of youngest children age 6-23 months living with their mother who are fed a minimum acceptable diet based on breastfeeding status, number of food groups, and times they were fed during the day or night preceding
the interview, according to background characteristics, India, 2019-21
Among breastfed children 6-23 months, Among non-breastfed children 6-23 months, Among all children 6-23 months,
percentage fed: percentage fed: percentage fed:
Minimum Minimum Minimum Number of Minimum Minimum Minimum Minimum Number of Breast milk, Minimum Minimum Minimum
Background dietary meal acceptable breastfed milk feeding dietary meal acceptable non-breastfed milk, or milk dietary meal acceptable Number of
characteristic diversity1 frequency2 diet3 children frequency4 diversity1 frequency5 diet6 children products7 diversity1 frequency8 diet9 all children
Age in months
6-8 9.3 35.1 6.7 10,024 52.1 5.6 35.9 3.9 684 96.9 9.1 35.2 6.6 10,708
9-11 18.2 23.9 7.5 10,092 59.2 8.7 48.6 6.7 842 96.9 17.4 25.8 7.5 10,934
12-17 27.1 30.0 11.6 18,223 67.0 15.2 59.8 12.0 3,294 95.0 25.3 34.5 11.7 21,517
18-23 34.8 35.2 15.0 14,343 60.9 21.2 58.8 14.6 4,750 90.3 31.4 41.1 14.9 19,094
Sex
Male 24.1 31.1 10.8 27,634 63.6 16.9 57.7 12.8 4,744 94.7 23.0 35.0 11.1 32,378
Female 24.1 31.3 10.8 25,048 60.9 16.9 55.5 11.7 4,826 93.7 23.0 35.2 10.9 29,874
Residence
Urban 25.8 32.0 11.6 13,322 65.2 18.3 60.4 14.0 3,255 93.2 24.3 37.6 12.1 16,577
Rural 23.5 30.9 10.6 39,361 60.7 16.2 54.6 11.4 6,315 94.6 22.5 34.2 10.7 45,676
403
Mother's schooling
No schooling 19.7 30.0 9.0 10,148 53.1 12.5 47.6 8.5 1,500 94.0 18.8 32.2 9.0 11,648
<5 years complete 26.6 32.3 11.9 2,357 49.1 15.7 51.0 6.8 318 93.9 25.3 34.6 11.3 2,675
5-7 years complete 21.6 31.6 10.5 7,216 57.4 16.3 52.0 12.0 1,179 94.0 20.8 34.4 10.7 8,396
8-9 years complete 24.6 31.9 11.1 10,211 59.7 15.6 55.1 10.4 1,563 94.6 23.4 35.0 11.0 11,774
10-11 years complete 26.3 29.7 10.6 7,136 63.2 17.9 56.3 14.3 1,490 93.6 24.9 34.3 11.2 8,626
12 or more years complete 26.4 31.9 11.9 15,614 69.7 19.3 63.2 14.4 3,519 94.4 25.1 37.7 12.4 19,133
Religion
Hindu 23.1 31.2 10.4 42,062 63.5 16.3 57.3 12.1 7,390 94.5 22.1 35.1 10.6 49,452
Muslim 27.7 30.0 12.4 8,459 57.5 17.0 52.6 11.5 1,665 93.0 25.9 33.7 12.2 10,124
Christian 36.2 40.7 17.1 1,029 58.2 31.8 58.2 19.0 250 91.8 35.3 44.2 17.5 1,280
Sikh 26.1 25.3 10.3 547 70.6 20.2 61.9 16.9 180 92.7 24.7 34.4 11.9 727
Buddhist/Neo-Buddhist 22.1 30.2 8.1 254 31.0 15.0 57.4 11.4 44 89.9 21.1 34.1 8.6 297
Jain 22.3 54.3 16.9 90 56.9 7.6 93.6 7.6 20 92.3 19.7 61.3 15.2 110
Other 25.9 34.5 10.3 242 39.2 23.6 35.2 14.1 21 95.1 25.7 34.5 10.6 263
Continued…
Table 10.10 Minimum acceptable diet—Continued
Percentage of youngest children age 6-23 months living with their mother who are fed a minimum acceptable diet based on breastfeeding status, number of food groups, and times they were fed during the day or night preceding
the interview, according to background characteristics, India, 2019-21
Among breastfed children 6-23 months, Among non-breastfed children 6-23 months, Among all children 6-23 months,
percentage fed: percentage fed: percentage fed:
Minimum Minimum Minimum Number of Minimum Minimum Minimum Minimum Number of Breast milk, Minimum Minimum Minimum
Background dietary meal acceptable breastfed milk feeding dietary meal acceptable non-breastfed milk, or milk dietary meal acceptable Number of
characteristic diversity1 frequency2 diet3 children frequency4 diversity1 frequency5 diet6 children products7 diversity1 frequency8 diet9 all children
Caste/tribe
Scheduled caste 24.1 31.5 10.5 12,410 60.2 16.8 56.6 12.3 1,898 94.7 23.1 34.8 10.8 14,309
Scheduled tribe 24.0 32.2 11.0 5,546 48.2 20.5 44.6 13.1 779 93.6 23.6 33.7 11.2 6,324
Other backward class 22.1 30.3 10.0 22,697 65.8 16.7 59.0 12.6 4,293 94.6 21.2 34.9 10.4 26,991
Other 28.4 32.2 12.8 11,552 62.1 16.5 56.4 11.6 2,545 93.2 26.3 36.6 12.6 14,097
Don't know 18.9 29.2 7.8 477 58.5 5.0 39.0 3.5 55 95.7 17.5 30.2 7.4 532
Wealth quintile
Lowest 22.7 31.4 10.4 13,241 48.2 14.3 45.0 8.5 1,570 94.5 21.8 32.8 10.2 14,812
Second 22.9 29.5 9.8 11,519 55.7 15.1 49.9 9.6 1,679 94.4 21.9 32.1 9.8 13,198
Middle 24.7 31.3 10.8 10,502 63.8 17.1 56.4 13.3 1,936 94.4 23.5 35.2 11.2 12,438
Fourth 25.5 31.5 11.6 9,483 66.5 18.4 59.7 13.5 2,137 93.8 24.2 36.7 12.0 11,619
Highest 25.7 32.9 12.1 7,938 71.5 18.5 66.8 14.8 2,247 93.7 24.1 40.4 12.7 10,185
404
Total 24.1 31.2 10.8 52,683 62.2 16.9 56.6 12.3 9,570 94.2 23.0 35.1 11.0 62,253
1 Children receive foods from 5 or more of the following food groups: : a. infant formula, milk other than breast milk, cheese or yogurt or other milk products; b. foods made from grains or roots, including porridge or gruel, fortified baby food; c. vitamin A-rich
fruits and vegetables; d. other fruits and vegetables; e. eggs; f. meat, poultry, fish, shellfish, or organ meats; g. beans, peas, lentils, or nuts
2 For breastfed children, minimum meal frequency is receiving solid or semi-solid food at least twice a day for infants 6-8 months and at least three times a day for children 9-23 months
3 Breastfed children age 6-23 months are considered to be fed a minimum acceptable diet if they are fed the minimum dietary diversity as described in footnote 1 and the minimum meal frequency as defined in footnote 2
4 Includes two or more feedings of commercial infant formula, fresh, tinned and powdered animal milk, and yogurt
5 For non-breastfed children age 6-23 months, minimum meal frequency is receiving solid or semi-solid food or milk feeds at least four times a day. At least one of the feeds must be a solid or semi-solid food.
6 Non-breastfed children age 6-23 months are considered to be fed a minimum acceptable diet if they receive other milk or milk products at least twice a day, receive the minimum meal frequency as described in footnote 5, and receive solid or semi-solid foods
from at least four food groups not including the milk or milk products food group
7 Breastfeeding, or not breastfeeding and receiving two or more feedings of commercial infant formula, fresh, tinned, and powdered animal milk, and yogurt
8 Children are fed the minimum recommended number of times per day according to their age and breastfeeding status as described in footnotes 2 and 5
9 Children age 6-23 months are considered to be fed a minimum acceptable diet if they receive breastmilk, other milk or milk products as described in footnote 7, are fed the minimum dietary diversity as described in footnote 1, and are fed the minimum meal
frequency as described in footnotes 2 and 5

Table 10.11 Minimum acceptable diet by state/union territory
Percentage of youngest children age 6-23 months living with their mother who are fed a minimum acceptable diet based on breastfeeding status, number of food groups,
and times they are fed during the day or night preceding the interview, according to state/union territory, India, 2019-21
Among breastfed children 6-23 Among non-breastfed children 6-23 months, Among all children 6-23 months,
months, percentage fed: percentage fed: percentage fed:
Minimum Breast milk,
Minimum Minimum Minimum milk Minimum Minimum Minimum milk, or Minimum Minimum Minimum
dietary meal acceptable feeding dietary meal acceptable milk dietary meal acceptable
State/union territory diversity1 frequency2 diet3 frequency4 diversity1 frequency5 diet6 products7 diversity1 frequency8 diet9
India 24.1 31.2 10.8 62.2 16.9 56.6 12.3 94.2 23.0 35.1 11.0
North
Chandigarh 34.6 34.7 22.7 39.2 0.0 39.2 0.0 90.0 28.9 35.5 19.0
Delhi 30.8 43.4 18.0 76.0 10.4 70.1 8.6 94.9 26.5 49.0 16.0
Haryana 21.7 36.0 11.9 77.5 13.1 69.8 10.7 95.4 19.9 42.8 11.6
Himachal Pradesh 31.1 45.4 17.7 80.7 21.0 77.6 20.7 94.8 28.3 54.1 18.5
Jammu & Kashmir 37.1 21.5 12.0 54.3 32.7 49.9 18.6 94.2 36.5 25.1 12.8
Ladakh 38.6 34.4 19.6 72.6 55.4 63.5 44.5 96.2 41.0 38.5 23.1
405
Punjab 26.7 26.3 10.2 63.9 19.9 55.5 15.4 91.1 25.0 33.5 11.5
Rajasthan 16.3 31.3 8.4 68.7 9.3 65.6 7.5 96.0 15.4 35.7 8.3
Uttarakhand 20.6 40.8 12.7 82.4 11.3 73.8 10.3 96.2 18.6 48.0 12.2
Central
Chhattisgarh 21.0 30.2 9.5 24.2 9.4 22.4 2.5 95.9 20.3 29.8 9.1
Madhya Pradesh 19.4 36.0 9.2 50.2 13.4 52.7 7.1 93.7 18.6 38.1 9.0
Uttar Pradesh 15.2 22.4 5.8 70.3 8.3 57.8 6.7 95.1 14.1 28.2 5.9
East
Bihar 19.6 33.8 10.7 63.3 14.4 57.9 11.5 95.1 18.9 37.0 10.8
Jharkhand 21.2 33.4 9.5 52.2 24.3 56.2 15.9 96.7 21.5 34.9 10.0
Odisha 39.9 47.4 20.1 53.6 31.8 58.4 21.3 97.5 39.4 48.0 20.1
West Bengal 50.7 37.6 23.3 41.4 28.1 39.2 17.0 95.2 48.8 37.7 22.8
Continued…
Table 10.11 Minimum acceptable diet by state/union territory—Continued
Northeast
Arunachal Pradesh 40.0 41.9 22.6 30.6 26.3 26.4 12.7 88.2 37.7 39.3 20.9
Assam 23.4 27.7 7.5 28.2 13.3 24.7 3.1 96.3 22.9 27.6 7.2
Manipur 39.0 44.2 17.7 37.6 39.0 49.5 21.9 93.9 39.0 44.7 18.2
Meghalaya 51.0 46.5 28.7 45.6 65.5 54.7 27.7 88.0 54.2 48.3 28.5
Mizoram 33.7 30.2 12.2 27.4 33.6 31.9 18.5 88.8 33.7 30.5 13.2
Nagaland 21.8 41.0 11.3 49.8 26.0 46.4 14.9 82.0 23.3 43.0 12.6
Sikkim 54.7 36.1 21.9 40.1 50.1 58.7 35.0 91.2 54.0 39.4 23.8
Tripura 25.6 34.9 12.8 64.8 16.3 59.8 16.3 97.8 25.0 36.5 13.0
406
West
Daman & Diu 23.5 34.6 10.7 76.6 5.5 76.4 4.0 98.3 22.2 37.5 10.2
Goa 47.3 40.3 20.2 92.9 35.1 72.1 28.5 98.9 45.4 45.4 21.5
Gujarat 17.8 19.3 5.9 52.1 9.3 43.4 6.0 92.0 16.4 23.3 5.9
Maharashtra 17.6 30.5 8.2 46.9 18.1 45.6 11.7 90.4 17.7 33.2 8.9
Continued…
Table 10.11 Minimum acceptable diet by state/union territory—Continued
South
Andaman & Nicobar Islands 33.4 51.3 17.4 44.9 34.3 53.1 24.9 91.5 33.6 51.6 18.5
Andhra Pradesh 21.1 25.0 8.1 70.3 15.3 61.5 11.4 91.7 19.5 35.3 9.0
Karnataka 31.9 25.3 10.6 58.9 25.0 51.6 18.9 91.0 30.4 31.0 12.4
Kerala 47.3 47.2 23.4 67.0 35.4 65.4 22.2 97.3 46.3 48.7 23.3
Lakshadweep 45.3 46.7 18.8 52.1 0.0 52.1 0.0 96.9 42.4 47.0 17.6
Puducherry 35.4 41.3 22.7 85.2 30.1 80.3 23.6 95.6 33.8 52.8 22.9
Tamil Nadu 28.7 39.4 12.6 72.3 29.1 69.7 22.8 91.4 28.8 48.8 15.8
Telangana 25.7 26.6 8.2 59.6 17.5 58.1 14.8 94.9 24.7 30.6 9.0
407
1 Children receive foods from 5 or more of the following food groups: a. breast milk b. infant formula, milk other than breast milk, cheese or yogurt or other milk products; c. foods made from
grains or roots, including porridge or gruel, fortified baby food made from grains; d. vitamin A-rich fruits and vegetables; e. other fruits and vegetables; f. eggs; g. meat, poultry, fish, shellfish,
or organ meats; h. beans, peas, lentils, or nuts
2
For breastfed children, minimum meal frequency is receiving solid or semi-solid food at least twice a day for infants 6-8 months and at least three times a day for children 9-23 months
3 Breastfed children age 6-23 months are considered to be fed a minimum acceptable diet if they are fed the minimum dietary diversity as described in footnote 1 and the minimum meal
frequency as defined in footnote 2

4 Includes two or more feedings of commercial infant formula, fresh, tinned and powdered animal milk, and yogurt
5 For nonbreastfed children age 6-23 months, minimum meal frequency is receiving solid or semi-solid food or milk feeds at least four times a day. At least one of the feeds must be a solid or
semi-solid food.
6 Nonbreastfed children age 6-23 months are considered to be fed a minimum acceptable diet if they receive other milk or milk products at least twice a day, receive the minimum meal
frequency as defined in footnote 5, and receive solid or semi-solid foods from at least four food groups not including the milk or milk products food group
7 Breastfeeding, or not breastfeeding and receiving two or more feedings of commercial infant formula, fresh, tinned, and powdered animal milk, and yogurt
8 Children are fed the minimum recommended number of times per day according to their age and breastfeeding status as described in footnotes 2 and 5
9
Children age 6-23 months are considered to be fed a minimum acceptable diet if they receive breast milk, other milk or milk products as described in footnote 7, are fed the minimum dietary
diversity as described in footnote 1, and are fed the minimum meal frequency as described in footnotes 2 and 5
Table 10.12 Prevalence of anaemia in children
Percentage of children age 6-59 months classified as having anaemia, by background characteristics, India,
2019-21
Anaemia status by haemoglobin level Any Number

Mild Moderate Severe anaemia of
Background characteristic (10.0-10.9 g/dl) (7.0-9.9 g/dl) (<7.0 g/dl) (<11.0 g/dl) children
Age in months
6-8 29.0 44.2 2.0 75.2 7,998
9-11 27.5 48.1 3.1 78.7 8,566
12-17 26.3 50.3 3.5 80.0 17,107
18-23 27.9 46.8 3.5 78.2 16,391
24-35 29.4 38.7 2.4 70.5 34,155
36-47 31.0 28.6 1.4 61.0 33,825
48-59 30.0 22.6 0.8 53.4 34,711
Sex
Male 29.0 36.0 2.2 67.2 79,515
Female 29.5 35.6 2.0 67.0 73,237
Birth order1
1 29.5 34.1 1.9 65.6 61,967
2-3 28.9 36.7 2.2 67.7 75,806
4-5 29.8 38.3 2.3 70.4 12,119
6 or more 30.1 38.5 2.6 71.2 2,324
Residence
Urban 29.0 33.1 2.2 64.2 42,917
Rural 29.3 36.9 2.1 68.3 109,835
Mother's schooling2
No schooling 29.7 39.3 2.4 71.4 22,223
<5 years complete 29.4 38.4 2.2 70.0 7,432
5-7 years complete 29.6 38.3 2.4 70.3 23,497
8-9 years complete 29.8 36.6 2.1 68.5 31,030
10-11 years complete 28.7 35.5 1.9 66.1 22,747
Religion
Hindu 29.0 36.3 2.1 67.5 122,437
Muslim 30.8 34.3 1.8 66.8 23,317
Christian 26.6 25.0 1.5 53.1 3,441
Sikh 25.7 39.8 4.8 70.3 1,940
Buddhist/Neo-Buddhist 30.9 36.7 3.5 71.1 815
Jain 39.7 28.4 4.3 72.3 252
Other 29.2 36.0 1.8 67.0 550
Caste/tribe
Scheduled caste 29.2 37.8 2.5 69.5 36,135
Scheduled tribe 29.8 40.4 2.2 72.4 14,481
Other backward class 28.7 34.6 1.9 65.2 65,009
Other 30.1 33.7 1.9 65.8 35,749
Don't know 28.7 43.2 1.4 73.3 1,379
Mother's interview status

Interviewed 29.2 35.8 2.1 67.1 152,216
Not interviewed but in
household 29.9 37.1 2.8 69.8 536
Continued…
408
Table 10.12 Prevalence of anaemia in children—Continued
Percentage of children age 6-59 months classified as having anaemia, by background characteristics, India,
2019-21
Anaemia status by haemoglobin level

Any Number
Mild Moderate Severe anaemia of
Background characteristic (10.0-10.9 g/dl) (7.0-9.9 g/dl) (<7.0 g/dl) (<11.0 g/dl) children
Child's living arrangements

Living with both parents 29.1 35.8 2.2 67.1 126,952
Living with mother (not father) 29.8 35.6 1.8 67.2 25,521
Living with father (not mother) 30.3 36.5 1.1 67.9 111
Living with neither parent 34.4 40.2 1.1 75.8 168
Mother's anaemia status3

Not anaemic 28.6 29.8 1.5 60.0 61,920
Mildly anaemic 30.6 36.1 2.0 68.7 40,152
Moderately anaemic 29.3 42.6 2.7 74.6 46,149
Severely anaemic 23.2 48.0 5.9 77.1 3,281
Wealth quintile
Lowest 30.1 39.6 1.9 71.5 30,961
Second 30.0 37.2 2.1 69.3 32,889
Middle 29.2 35.7 2.2 67.1 32,072
Fourth 28.1 33.8 2.3 64.2 30,741
Highest 28.6 31.9 2.0 62.6 26,089
Total 29.2 35.8 2.1 67.1 152,752
Note: Table is based on children who stayed in the household the night before the interview and who were tested for
anaemia. Prevalence of anaemia, based on haemoglobin levels, is adjusted for altitude using the CDC formulas (Centers
for Disease Control (CDC). 1998. Recommendations to prevent and control iron deficiency in the United States. Morbidity
and Mortality Weekly Report 47 (RR-3): 1-29). Haemoglobin levels are shown in grams per decilitre (g/dl). Total includes
mother who don’t know their year of schooling.
1
Excludes children whose mothers were not interviewed
2 For mothers who are not interviewed, information is taken from the Household Questionnaire. Excludes children whose
mothers are not listed in the household schedule.

3
Mildly anaemic is 11.0-11.9 g/dl for non-pregnant women and 10.0-10.9 g/dl for pregnant women. Moderately/severely
anaemic is <11.0 g/dl for non-pregnant women and <10.0 g/dl for pregnant women. Adjusted for altitude and for
smoking status. Excludes children whose mother's anaemia status is not known.
409
Table 10.13 Prevalence of anaemia in children by state/union territory
Percentage of children age 6-59 months classified as having anaemia, according to state/union
Anaemia status by haemoglobin level Any

Mild Moderate Severe anaemia
State/union territory (10.0-10.9 g/dl) (7.0-9.9 g/dl) (<7.0 g/dl) (<11.0 g/dl)
India 29.2 35.8 2.1 67.1
North
Chandigarh 27.8 25.2 1.6 54.6
Delhi 26.8 37.8 4.6 69.2
Haryana 26.6 40.0 3.8 70.4
Jammu & Kashmir 25.1 43.6 4.0 72.7
Ladakh 9.0 46.1 38.7 93.9
Punjab 25.3 40.8 5.0 71.1
Rajasthan 31.4 38.0 2.0 71.5
Uttarakhand 24.2 31.6 3.0 58.8
Central
Chhattisgarh 28.5 37.1 1.6 67.2
Madhya Pradesh 27.4 42.0 3.3 72.6
Uttar Pradesh 28.2 36.1 2.1 66.4
East
Bihar 30.9 37.0 1.5 69.4
Jharkhand 31.9 34.3 1.2 67.4
Odisha 31.9 31.4 0.9 64.2
West Bengal 35.6 32.5 0.9 69.0
Northeast
Assam 36.2 31.5 0.8 68.4
Manipur 24.9 17.4 0.5 42.8
Meghalaya 24.5 19.7 0.8 45.1
Mizoram 25.3 20.8 0.3 46.4
Nagaland 26.1 15.9 0.7 42.7
Sikkim 25.4 30.1 1.0 56.4
Tripura 33.9 29.8 0.5 64.2
West
Daman & Diu 29.9 44.8 1.1 75.8
Goa 26.3 25.4 1.5 53.2
Gujarat 27.5 49.1 3.1 79.7
Maharashtra 28.9 37.5 2.4 68.9
South
Andhra Pradesh 26.1 35.0 2.1 63.2
Karnataka 27.6 35.1 2.7 65.5
Kerala 24.1 14.6 0.7 39.4
Lakshadweep 31.8 10.9 0.5 43.1
Puducherry 23.2 38.6 2.2 64.0
Tamil Nadu 27.0 28.6 1.8 57.4
Telangana 25.1 41.4 3.5 70.0
Note: Table is based on children who stayed in the household the night before the interview and who were
tested for anaemia. Prevalence of anaemia, based on haemoglobin levels, is adjusted for altitude using the
CDC formulas (Centers for Disease Control (CDC). 1998. Recommendations to prevent and control iron
deficiency in the United States. Morbidity and Mortality Weekly Report 47 (RR-3): 1-29). Haemoglobin
levels are shown in grams per decilitre (g/dl).
410
Table 10.14 Trends in prevalence of anaemia in children
Percentage of children age 6-59 months classified as having anaemia by residence, NFHS-5 and NFHS-
4, India
Anaemia status by NFHS-5 (2019-21) NFHS-4 (2015-16)

haemoglobin level Urban Rural Total Urban Rural Total
Mild (10.0-10.9 g/dl) 29.0 29.3 29.2 26.8 28.2 27.8

Moderate (7.0-9.9 g/dl) 33.1 36.9 35.8 27.5 29.7 29.1
Severe (<7.0 g/dl) 2.2 2.1 2.1 1.6 1.5 1.5
Any anaemia (<11.0 g/dl) 64.2 68.3 67.1 55.9 59.4 58.4
Note: Table is based on children who stayed in the household the night before the interview. Prevalence of
anaemia, based on haemoglobin levels, is adjusted for altitude using formulae in CDC (1998). Haemoglobin in g/dl
= grams per decilitre.
411
Table 10.15 Presence of iodized salt in household
Among all households, percentage with salt tested for iodine content, percentage with salt in the household but the
salt was not tested, and percentage with no salt in the household; and among households with salt tested, percentage
with iodized salt, according to background characteristics, India, 2019-21
Among households
Among households, percentage: with tested salt:
With salt, With no Percentage
With salt but salt not salt in the Number of with Number of
Background characteristic tested tested1 household households iodized salt households
Residence
Urban 99.2 0.3 0.5 211,271 96.9 209,599
Rural 99.5 0.1 0.4 425,428 93.0 423,463

Hindu 99.4 0.1 0.4 521,485 94.0 518,607
Muslim 99.4 0.2 0.4 78,928 95.8 78,452
Christian 99.3 0.1 0.5 17,881 94.6 17,764
Sikh 99.3 0.3 0.4 9,742 94.9 9,671
Buddhist/Neo-Buddhist 99.3 0.0 0.7 4,522 97.1 4,489
Jain 98.3 0.8 0.9 1,621 95.5 1,594
Other 98.6 0.4 0.9 2,520 97.0 2,486

Scheduled caste 99.5 0.1 0.4 137,846 93.5 137,128
Scheduled tribe 99.6 0.1 0.3 60,543 93.7 60,313
Other 99.3 0.3 0.4 167,906 95.7 166,753
Don't know 98.6 0.6 0.9 5,518 93.0 5,440
Wealth quintile
Lowest 99.2 0.1 0.7 132,300 91.1 131,284
Second 99.4 0.1 0.6 127,292 92.5 126,485
Middle 99.5 0.1 0.4 127,106 94.3 126,508
Fourth 99.7 0.1 0.2 124,936 96.4 124,506
Highest 99.4 0.4 0.2 125,065 97.4 124,281
Total 99.4 0.1 0.4 636,699 94.3 633,062

1 Includes households in which salt could not be tested for technical or logistical reasons
412
Table 10.16 Presence of iodized salt in household by state/union territory
Among all households, percentage with salt tested for iodine content, percentage with salt
in the household but the salt was not tested, and percentage with no salt in the household;
and among households with salt tested, percentage with iodized salt, according to
Among households, percentage:

With salt, but With no Percentage
With salt salt not salt in the with
State/union territory tested tested1 household iodized salt
India 99.4 0.1 0.4 94.3
North
Chandigarh 96.5 3.2 0.3 96.8
Delhi 99.1 0.5 0.3 96.8
Haryana 99.5 0.2 0.3 96.1
Jammu & Kashmir 99.8 0.0 0.2 98.1
Ladakh 99.6 0.0 0.4 98.8
Punjab 99.1 0.3 0.5 94.8
Rajasthan 99.8 0.0 0.2 94.2
Uttarakhand 99.3 0.2 0.5 93.2
Central
Chhattisgarh 99.9 0.0 0.1 98.5
Uttar Pradesh 99.1 0.3 0.6 92.2
East
Bihar 99.4 0.0 0.5 93.3
Jharkhand 99.7 0.1 0.2 97.7
Odisha 99.7 0.1 0.3 98.0
West Bengal 99.7 0.0 0.3 94.5
Northeast
Assam 99.9 0.0 0.1 98.8
Manipur 99.9 0.0 0.1 99.3
Meghalaya 99.6 0.2 0.2 90.6
Mizoram 99.9 0.0 0.0 99.0
Nagaland 99.8 0.0 0.2 98.9
Sikkim 99.9 0.0 0.1 98.2
Tripura 99.9 0.0 0.1 99.5
West
Daman & Diu 96.6 1.4 1.9 89.1
Goa 99.9 0.0 0.1 97.6
Gujarat 99.5 0.1 0.4 95.6
Maharashtra 99.2 0.3 0.6 96.2
South
Karnataka 99.7 0.1 0.3 92.8
Kerala 99.8 0.0 0.2 99.3
Lakshadweep 100.0 0.0 0.0 96.7
Puducherry 99.4 0.1 0.5 93.3
Tamil Nadu 99.3 0.1 0.6 92.0
Telangana 99.6 0.1 0.3 95.8
1 Includes households in which salt could not be tested for technical or logistical reasons
413
Table 10.17 Micronutrient intake among children
Among youngest children age 6-23 months who are living with their mother, percentages who consumed vitamin A-rich and iron-rich foods in the 24 hours preceding the survey; among all children age 6-23 months,
percentage given micronutrient powder in the 7 days preceding the survey; among all children age 6-59 months, percentages who were given vitamin A supplements in the 6 months preceding the survey, who were given
iron supplements in the 7 days preceding the survey, and who were given deworming medication in the 6 months preceding the survey; and among children age 6-59 months who live in households in which salt was tested
for iodine, percentage in households using iodized salt, according to background characteristics, India, 2019-21
Among children age 6-59

Among youngest children age 6-23 months Among all children months living in households
living with the mother: age 6-23 months: Among all children age 6-59 months: tested for iodized salt:
Percentage who Percentage who Percentage given Percentage given Percentage given
consumed foods consumed foods Number multiple micro- Number vitamin A Percentage given deworming Number Percentage living Number
rich in vitamin A rich in iron of nutrient powder of supplements in iron supplements medication in of in households of
Background characteristic in last 24 hours1 in last 24 hours2 children in past 7 days children past 6 months3 in past 7 days4 past 6 months4,5 children with iodized salt6 children
Age in months
6-8 20.1 7.8 10,708 9.9 10,805 49.8 32.9 28.1 10,805 93.2 10,765
9-11 37.9 15.2 10,934 13.8 11,063 68.7 37.7 34.3 11,063 94.3 11,044
12-17 52.2 22.4 21,517 14.0 22,183 74.9 40.6 39.5 22,183 93.8 22,104
18-23 61.4 29.0 19,094 13.8 21,064 71.3 40.7 44.2 21,064 93.9 21,005
24-35 na na na na na 65.7 39.4 45.3 43,916 94.0 43,795
36-47 na na na na na 0.0 26.1 30.5 44,075 94.2 43,938
48-59 na na na na na 0.0 1.3 1.4 46,503 94.0 46,382
414
Sex
Male 46.9 20.4 32,366 13.4 33,662 36.8 27.3 29.5 103,586 94.0 103,311
Female 47.0 20.9 29,886 13.0 31,453 36.8 27.5 29.5 96,023 94.0 95,723
Birth order
1 45.3 20.6 24,600 14.2 26,289 37.9 27.9 29.8 78,700 94.4 78,487
2-3 48.5 21.3 30,733 13.1 31,694 36.9 27.6 30.0 97,625 94.0 97,369
4-5 45.1 17.5 5,618 10.0 5,781 33.8 25.3 27.0 18,733 92.5 18,654
6 or more 48.5 20.3 1,302 9.5 1,351 30.2 22.9 24.1 4,551 91.1 4,524
Breastfeeding status7
Breastfeeding 45.6 19.9 52,683 13.1 53,137 58.2 36.5 38.0 83,843 94.1 83,590
Not breastfeeding 54.4 24.7 9,520 13.8 11,927 21.3 20.8 23.3 115,511 93.9 115,189
Continued…
Table 10.17 Micronutrient intake among children—Continued

Residence
Urban 48.6 23.3 16,577 13.6 17,232 36.8 27.4 29.0 54,222 97.2 54,076
Rural 46.4 19.7 45,676 13.0 47,883 36.8 27.4 29.7 145,387 92.8 144,958
Mother's schooling
No schooling 43.9 17.4 11,648 9.6 12,267 31.3 24.0 24.7 42,769 91.4 42,594
<5 years complete 50.9 23.9 2,675 10.4 2,823 32.5 22.7 26.3 9,715 93.3 9,682
5-7 years complete 47.2 20.6 8,396 12.2 8,778 34.5 25.4 27.6 28,984 93.2 28,909
8-9 years complete 47.8 20.8 11,774 12.6 12,361 37.2 27.4 30.1 36,686 94.1 36,588
415
10-11 years complete 47.4 22.6 8,626 15.6 8,987 39.4 29.4 31.3 26,653 94.8 26,591
12 or more years complete 47.4 21.2 19,133 15.5 19,899 41.6 30.9 33.6 54,803 96.1 54,669
Religion
Hindu 45.8 18.0 49,452 13.2 51,704 37.2 27.9 30.0 158,405 93.6 157,977
Muslim 50.6 31.9 10,124 12.5 10,624 34.6 25.6 27.4 32,503 95.5 32,385
Christian 57.9 41.6 1,280 22.2 1,328 36.8 26.3 31.7 4,143 94.1 4,119
Sikh 47.9 10.1 727 7.4 768 37.5 23.3 24.2 2,490 95.2 2,486
Buddhist/Neo-Buddhist 56.1 24.5 297 9.2 304 35.0 26.4 27.6 969 96.8 969
Jain 36.1 0.8 110 8.0 117 52.2 29.2 32.5 301 98.5 301
Other 56.9 25.7 263 8.8 270 36.6 22.2 30.3 798 97.3 797
Continued…
Table 10.17 Micronutrient intake among children—Continued

Caste/tribe
Scheduled caste 47.4 21.0 14,309 12.4 15,014 36.4 27.1 29.1 46,035 93.2 45,880
Scheduled tribe 49.7 21.9 6,324 13.3 6,552 38.9 30.6 33.0 19,805 93.5 19,752
Other backward class 44.3 18.1 26,991 12.9 28,341 37.1 28.0 30.3 86,798 93.6 86,547
Other 50.1 24.3 14,097 14.6 14,647 36.0 25.6 27.4 45,153 95.8 45,037
Don't know 53.7 28.1 532 8.4 561 28.3 17.8 17.2 1,818 93.7 1,818
Wealth quintile
416
Lowest 48.6 21.4 14,812 11.8 15,500 34.1 25.5 27.0 48,397 91.4 48,205
Second 45.8 20.7 13,198 11.5 13,910 36.1 27.1 29.2 42,989 92.3 42,845
Middle 46.7 21.3 12,438 14.3 13,012 37.6 27.7 30.3 39,067 94.2 38,960
Fourth 46.3 21.4 11,619 14.3 12,155 38.5 28.7 31.3 36,990 95.9 36,936
Highest 47.0 17.8 10,185 14.9 10,538 38.9 28.7 30.6 32,166 97.6 32,088
Total 47.0 20.6 62,253 13.2 65,115 36.8 27.4 29.5 199,609 94.0 199,034
na = Not applicable
1
Includes meat and organ meats, fish, poultry, eggs, pumpkin, carrots, squash, sweet potatoes that are yellow or orange inside, dark green leafy vegetables, ripe mango, papaya, cantaloupe, and jackfruit
2
Includes meat and organ meats, fish, poultry, and eggs
3 Based on mother's recall
4 Based on mother's recall and the vaccination card (where available)
5
Deworming for intestinal parasites is commonly done for helminths and schistosomiasis
6 Excludes children in households in which salt was not tested
7
Excludes children whose breastfeeding status is unknown
Table 10.18 Micronutrient intake among children by state/union territory
Among youngest children age 6-23 months who are living with their mother, percentages who consumed vitamin A-rich and iron-rich foods in the 24 hours preceding the
survey; among all children age 6-23 months, percentage given micronutrient powder in the 7 days preceding the survey; among all children age 6-59 months, percentages who
were given vitamin A supplements in the 6 months preceding the survey, who were given iron supplements in the 7 days preceding the survey, and who were given deworming
medication in the 6 months preceding the survey; and among children age 6-59 months who live in households in which salt was tested for iodine, percentage who live in
households using iodized salt, according to state/union territory, India, 2019-21
Among children age

6-59 months living in
Among youngest children age 6-23 Among all children households tested
months living with the mother: age 6-23 months: Among all children age 6-59 months: for iodized salt
Percentage who Percentage who Percentage given Percentage Percentage Percentage given
consumed foods consumed foods multiple micro- given vitamin A given iron deworming Percentage living in
rich in vitamin A in rich in iron in nutrient powder in supplements in supplements in medication in households with
State/union territory last 24 hours1 last 24 hours2 past 7 days past 6 months3 past 7 days4 past 6 months4,5 iodized salt6
India 47.0 20.6 13.2 36.8 27.4 29.5 94.0
North
Chandigarh 56.6 18.9 5.3 31.6 27.9 28.5 98.1
417
Delhi 49.6 19.7 19.0 27.0 22.0 22.5 98.2
Haryana 43.9 7.4 10.1 33.9 32.0 37.2 96.4
Jammu & Kashmir 54.4 39.5 8.8 39.7 22.0 32.8 97.8
Ladakh 59.3 48.2 12.6 41.1 24.2 38.4 98.7
Punjab 48.9 11.7 8.6 36.1 24.9 23.2 95.1
Rajasthan 35.5 4.1 5.4 31.6 15.4 14.5 94.0
Uttarakhand 40.9 12.3 4.3 26.2 14.4 22.7 93.0
Central
Chhattisgarh 50.2 16.2 17.6 45.5 39.8 41.0 98.2
Madhya Pradesh 46.5 11.0 10.0 40.2 34.3 34.2 95.1
Uttar Pradesh 36.6 8.9 9.1 37.6 31.7 32.0 92.0
Continued…
Table 10.18 Micronutrient intake among children by state/union territory—Continued
Among children age

East
Bihar 42.4 15.2 11.6 30.4 18.1 21.8 93.1
Jharkhand 51.8 19.7 10.1 37.0 24.2 29.7 97.4
Odisha 74.1 28.0 29.4 45.2 38.6 52.2 98.1
418
West Bengal 75.8 58.5 17.0 34.6 25.4 26.6 94.0
Northeast
Assam 43.5 24.2 8.0 30.4 17.5 21.3 98.3
Manipur 74.7 52.7 1.4 20.3 5.9 18.7 99.4
Meghalaya 70.2 58.2 14.4 28.7 22.4 29.0 90.9
Mizoram 58.0 42.2 17.7 31.0 18.8 35.5 99.1
Nagaland 54.0 39.9 2.8 21.4 8.9 15.8 99.5
Sikkim 78.4 46.0 13.8 45.0 34.2 46.9 98.1
Tripura 49.9 24.5 5.1 34.8 11.9 32.2 99.4
West
Daman & Diu 49.2 11.5 1.2 43.4 29.8 28.9 87.0
Goa 55.0 31.5 26.4 46.8 35.7 32.0 97.8
Gujarat 42.2 6.1 7.5 45.3 33.3 33.2 94.5
Maharashtra 40.8 17.7 11.8 36.3 23.3 24.8 95.9
Continued…
Table 10.18 Micronutrient intake among children by state/union territory—Continued
Among children age

South
Andhra Pradesh 39.0 27.4 21.3 41.7 25.9 23.0 82.5
Karnataka 47.4 27.4 17.4 45.2 43.6 41.4 91.5
419
Kerala 64.7 49.6 63.0 42.4 20.5 31.0 99.5
Lakshadweep 60.5 55.8 48.6 19.6 10.3 20.8 97.0
Puducherry 69.3 49.2 28.3 43.5 25.1 32.4 94.3
Tamil Nadu 58.6 42.5 16.6 36.2 35.9 44.2 92.7
Telangana 41.9 32.2 10.5 39.5 29.3 26.7 96.1
1 Includes meat and organ meats, fish, poultry, eggs, pumpkin, carrots, squash, sweet potatoes that are yellow or orange inside, dark green leafy vegetables, ripe mango, papaya, cantaloupe, and
jackfruit
2 Includes meat and organ meats, fish, poultry, and eggs
3 Based on mother's recall
4 Based on mother's recall and the vaccination card (where available)
5 Deworming for intestinal parasites is commonly done for helminths and schistosomiasis
6 Excludes children in households in which salt was not tested
Table 10.19.1 Nutritional status of women
Percentage of women age 15-49 below 145 cm, mean body mass index (BMI), and percentage with specific BMI levels, by background characteristics, India, 2019-21
Body Mass Index1
Height Thin Overweight/obese

Percentage <17.0 ≥25.0
below Number Mean 18.5-24.9 <18.5 17.0-18.4 (moderately/ (overweight 25.0-29.9 ≥30.0 Number
Background characteristic 145 cm of women BMI (normal) (total thin) (mildly thin) severely thin) or obese) (overweight) (obese) of women
Age
15-19 13.9 116,241 19.6 54.9 39.7 22.0 17.7 5.4 4.2 1.2 112,223
20-29 10.9 226,337 21.7 61.9 21.2 12.7 8.4 16.9 13.2 3.7 201,518
30-39 10.6 190,021 23.5 56.7 11.4 7.1 4.3 32.0 23.4 8.6 184,949
40-49 11.8 160,596 24.1 53.7 9.3 5.6 3.8 36.9 26.1 10.9 160,206
Marital status
Never married 12.3 161,541 20.2 57.4 34.5 19.1 15.3 8.2 6.3 1.9 161,257
Currently married 11.2 502,122 23.1 57.2 13.6 8.4 5.3 29.1 21.3 7.8 468,237
Widowed 12.4 21,787 23.5 56.9 12.3 7.4 4.9 30.8 21.8 9.0 21,726
Divorced/separated/
420
deserted 12.3 7,744 23.0 57.5 15.2 8.7 6.4 27.3 18.4 8.9 7,676
Residence
Urban 9.7 219,151 23.6 53.5 13.3 7.6 5.6 33.3 22.9 10.4 210,653
Rural 12.4 474,043 21.9 59.0 21.3 12.6 8.7 19.7 15.2 4.5 448,243
Schooling
No schooling 14.9 157,880 22.3 60.9 17.6 10.5 7.0 21.6 16.6 5.0 151,901
<5 years complete 15.1 36,540 22.7 59.0 16.1 9.7 6.4 24.9 18.7 6.3 35,163
5-7 years complete 12.9 93,406 22.8 56.0 17.0 10.2 6.9 26.9 19.5 7.5 88,916
8-9 years complete 12.5 124,348 22.0 55.6 22.8 13.0 9.7 21.6 15.7 5.9 117,542
10-11 years complete 9.7 105,000 22.3 54.4 21.8 12.4 9.4 23.8 16.9 6.9 99,884
12 or more years complete 7.3 176,020 22.8 57.2 16.4 9.7 6.6 26.5 19.3 7.2 165,491
Continued…
Table 10.19.1 Nutritional status of women—Continued
Percentage of women age 15-49 below 145 cm, mean body mass index (BMI), and percentage with specific BMI levels, by background characteristics, India, 2019-21
Body Mass Index1

below Number Mean 18.5-24.9 <18.5 17.0-18.4 (moderately/ (overweight 25.0-29.9 ≥30.0 Number
Background characteristic 145 cm of women BMI (normal) (total thin) (mildly thin) severely thin) or obese) (overweight) (obese) of women
Religion
Hindu 11.8 566,208 22.3 57.4 19.3 11.3 8.0 23.3 17.2 6.1 539,029
Muslim 10.5 92,021 22.7 57.6 16.4 9.8 6.6 26.0 19.0 7.0 86,339
Christian 9.6 16,308 23.4 56.3 12.5 7.6 4.9 31.2 21.9 9.4 15,553
Sikh 3.8 10,416 24.2 48.0 12.6 7.3 5.2 39.4 26.3 13.2 10,059
Buddhist/Neo-Buddhist 14.8 4,319 22.1 58.9 19.9 11.0 8.9 21.1 16.0 5.2 4,171
Jain 5.6 1,300 23.4 57.2 11.9 5.6 6.4 30.9 20.9 10.0 1,267
Other 16.9 2,621 21.3 63.1 23.3 14.3 9.0 13.6 9.9 3.7 2,479
Caste/tribe
Scheduled caste 14.4 152,652 22.1 58.2 20.2 11.9 8.3 21.6 16.2 5.4 144,699
421
Scheduled tribe 12.9 65,250 21.1 61.9 25.5 14.9 10.6 12.6 10.1 2.5 61,726
Other backward class 11.1 297,845 22.5 56.6 18.8 11.0 7.8 24.6 18.0 6.6 282,727
Other 9.2 172,656 23.2 55.9 14.5 8.6 6.0 29.6 21.2 8.4 165,225
Don't know 13.0 4,792 22.2 56.2 20.6 12.1 8.4 23.2 17.3 5.9 4,519
Wealth quintile
Lowest 17.8 129,931 20.7 61.9 28.0 16.6 11.5 10.0 8.4 1.6 121,816
Second 14.1 140,652 21.5 60.8 22.8 13.3 9.5 16.4 13.2 3.2 133,242
Middle 11.3 143,921 22.4 58.0 18.3 10.8 7.5 23.7 18.1 5.7 137,172
Fourth 8.8 144,353 23.2 54.9 14.7 8.5 6.1 30.5 21.8 8.6 137,675
Highest 5.9 134,337 24.2 51.0 10.4 6.1 4.3 38.6 26.0 12.6 128,991
Total 11.5 693,194 22.4 57.3 18.7 11.0 7.7 24.0 17.6 6.4 658,896
Note: The body mass index (BMI) is expressed as the ratio of weight in kilograms to the square of height in metres (kg/m2).
1 Excludes pregnant women and women with a birth in the preceding 2 months
Table 10.19.2 Nutritional status of men
Among men age 15-49, mean body mass index (BMI) and percentage with specific BMI levels by background characteristics, India, 2019-21
Body Mass Index

Thin Overweight/obese
<18.5 17.0-18.4 <17.0 ≥25.0
Mean 18.5-24.9 (total (mildly (moderately/ (overweight 25.0-29.9 ≥30.0 Number of
Background characteristic BMI (normal) thin) thin) severely thin) or obese) (overweight) (obese) men
Age
15-19 19.7 52.6 40.8 21.0 19.8 6.6 5.3 1.2 15,009
20-29 22.1 66.6 15.3 9.9 5.5 18.1 15.0 3.1 26,122
30-39 23.5 60.7 8.8 6.2 2.6 30.4 25.2 5.3 24,250
40-49 23.6 59.8 8.1 5.0 3.1 32.1 26.4 5.7 20,513
Marital status
Never married 21.1 59.9 26.7 14.6 12.1 13.4 11.1 2.3 33,130
Currently married 23.3 61.5 9.5 6.4 3.1 29.0 24.0 5.1 51,666
Widowed 21.7 68.4 15.3 7.5 7.7 16.3 15.2 1.1 420
422
Divorced/separated/deserted 22.4 58.0 18.7 11.5 7.3 23.3 19.3 4.0 679
Residence
Urban 23.2 57.1 13.0 7.5 5.5 29.8 23.8 6.0 29,126
Rural 22.0 62.8 17.8 10.7 7.1 19.3 16.4 3.0 56,768
Schooling
No schooling 21.9 66.0 16.4 9.9 6.4 17.7 15.0 2.7 9,331
<5 years complete 22.1 65.3 16.7 11.4 5.3 18.0 15.0 2.9 5,465
5-7 years complete 22.2 62.2 17.2 10.6 6.6 20.6 16.9 3.7 11,351
8-9 years complete 21.7 59.8 21.9 11.5 10.3 18.4 15.0 3.4 17,198
10-11 years complete 22.4 57.3 18.4 10.1 8.2 24.4 19.6 4.7 15,454
12 or more years complete 23.2 60.5 10.8 7.2 3.6 28.7 23.9 4.8 27,096
Continued…
Table 10.19.2 Nutritional status of men—Continued
Among men age 15-49, mean body mass index (BMI) and percentage with specific BMI levels by background characteristics, India, 2019-21
Body Mass Index

<18.5 17.0-18.4 <17.0 ≥25.0
Mean 18.5-24.9 (total (mildly (moderately/ (overweight 25.0-29.9 ≥30.0 Number of
Background characteristic BMI (normal) thin) thin) severely thin) or obese) (overweight) (obese) men
Religion
Hindu 22.4 60.4 16.7 9.9 6.8 22.8 18.9 4.0 68,263
Muslim 22.4 64.5 14.4 8.4 6.0 21.2 17.6 3.6 13,206
Christian 23.1 58.4 12.8 8.3 4.4 28.9 23.0 5.9 2,269
Sikh 23.2 58.4 12.4 8.0 4.4 29.2 22.1 7.1 740
Jain 22.7 61.5 15.5 10.0 5.5 23.0 20.9 2.2 218
Other 24.8 50.5 8.6 6.1 2.4 40.9 28.8 12.2 262
Caste/tribe
Scheduled caste 22.1 60.5 18.9 11.2 7.7 20.6 17.2 3.4 17,640
423
Scheduled tribe 21.6 66.0 19.2 12.1 7.1 14.8 12.5 2.3 7,991
Other 22.9 61.8 12.7 7.4 5.3 25.5 20.7 4.8 23,859
Don't know 21.7 53.9 26.1 12.6 13.5 20.0 14.2 5.7 466
Wealth quintile
Lowest 20.9 66.4 24.1 14.8 9.3 9.5 8.3 1.2 14,653
Second 21.6 65.4 19.6 11.4 8.3 15.0 12.6 2.3 17,356
Middle 22.3 61.6 16.7 10.0 6.7 21.7 18.7 3.0 18,493
Fourth 23.2 57.7 12.5 7.2 5.3 29.8 24.5 5.3 19,000
Highest 24.0 54.1 9.2 5.4 3.8 36.7 28.8 8.0 16,392
Total age 15-49 22.4 60.9 16.2 9.6 6.6 22.9 18.9 4.0 85,895
Age 50-54 23.5 59.7 8.7 5.7 3.0 31.6 26.2 5.3 8,193
Total age 15-54 22.5 60.8 15.6 9.3 6.3 23.7 19.5 4.1 94,087
Note: The Body Mass Index (BMI) is expressed as the ratio of weight in kilograms to the square of height in meters (kg/m2).
Table 10.20.1 Nutritional status of women by state/union territory
Percentage of women age 15-49 below 145 cm, mean body mass index (BMI), and percentage with specific BMI levels, by state/union territory, India, 2019-21
Body Mass Index1

Percentage <18.5 <17.0 ≥25.0
below Mean 18.5-24.9 (total 17.0-18.4 (moderately/ (overweight 25.0-29.9 ≥30.0
State/union territory 145 cm BMI (normal) thin) (mildly thin) severely thin) or obese) (overweight) (obese)
India 11.5 22.4 57.3 18.7 11.0 7.7 24.0 17.6 6.4
North
Chandigarh 8.6 24.5 43.0 13.0 6.7 6.3 44.0 27.7 16.3
Delhi 10.3 24.5 48.6 10.0 6.0 4.1 41.4 27.1 14.2
Haryana 5.2 23.4 51.8 15.1 8.7 6.4 33.1 23.2 9.9
Jammu & Kashmir 7.3 23.6 65.4 5.2 3.5 1.8 29.4 24.6 4.8
Ladakh 11.6 23.6 67.4 4.4 2.7 1.7 28.3 25.1 3.2
Punjab 4.8 24.3 46.5 12.7 7.3 5.4 40.8 26.6 14.2
424
Rajasthan 3.9 21.4 67.5 19.6 11.9 7.7 12.9 10.2 2.7
Uttarakhand 7.2 23.1 56.4 13.9 9.1 4.8 29.8 22.3 7.4
Central
Chhattisgarh 12.4 21.3 62.7 23.1 14.3 8.8 14.1 10.8 3.3
Madhya Pradesh 8.7 21.5 60.4 23.0 14.0 9.0 16.6 12.8 3.7
Uttar Pradesh 14.8 22.2 59.6 19.0 11.9 7.2 21.4 16.1 5.2
East
Bihar 17.8 21.3 58.4 25.6 15.2 10.4 16.0 12.7 3.3
Jharkhand 18.1 21.0 61.9 26.2 16.4 9.8 11.9 9.4 2.5
Odisha 14.5 22.1 56.2 20.8 12.6 8.2 23.0 17.8 5.2
West Bengal 14.9 22.5 62.4 14.8 8.8 6.0 22.7 18.1 4.6
Continued…
Table 10.20.1 Nutritional status of women by state/union territory—Continued
Percentage of women age 15-49 below 145 cm, mean body mass index (BMI), and percentage with specific BMI levels, by state/union territory, India, 2019-21
Body Mass Index1

below Mean 18.5-24.9 <18.5 17.0-18.4 (moderately/ (overweight 25.0-29.9 ≥30.0
State/union territory 145 cm BMI (normal) (total thin) (mildly thin) severely thin) or obese) (overweight) (obese)
Northeast
Assam 14.4 21.7 67.2 17.7 10.9 6.7 15.2 12.7 2.5
Manipur 5.9 23.8 58.7 7.2 5.3 2.0 34.1 26.7 7.4
Meghalaya 18.2 21.7 77.7 10.8 8.1 2.7 11.5 10.1 1.4
Mizoram 6.1 23.2 70.5 5.3 4.0 1.3 24.2 19.7 4.6
Nagaland 4.4 22.0 74.5 11.1 6.8 4.2 14.4 12.7 1.8
Sikkim 9.9 23.9 59.4 5.8 4.1 1.7 34.8 27.9 6.9
Tripura 18.2 22.3 62.2 16.2 10.2 6.0 21.6 17.6 3.9
West
425
Dadra & Nagar Haveli and Daman & Diu 15.5 22.2 48.0 25.1 12.8 12.3 26.9 19.9 7.0
Goa 6.9 23.7 50.1 13.8 7.1 6.7 36.1 26.6 9.5
Gujarat 8.3 22.0 52.1 25.2 13.1 12.1 22.7 15.8 6.9
Maharashtra 10.0 22.3 55.7 20.8 11.2 9.6 23.5 17.2 6.3
South
Andhra Pradesh 9.5 23.8 48.9 14.8 8.2 6.7 36.3 24.3 12.0
Karnataka 10.1 23.0 52.6 17.2 9.5 7.7 30.2 21.7 8.5
Kerala 4.5 24.1 51.8 10.1 5.8 4.3 38.2 28.3 9.8
Lakshadweep 5.4 23.6 58.5 8.0 4.4 3.6 33.5 26.6 6.9
Puducherry 7.5 25.2 44.7 9.0 5.4 3.6 46.3 28.1 18.2
Tamil Nadu 9.1 24.3 46.9 12.6 7.0 5.6 40.5 26.4 14.1
Telangana 12.6 22.9 51.1 18.8 10.1 8.7 30.1 21.2 8.9
Note: The body mass index (BMI) is expressed as the ratio of weight in kilograms to the square of height in metres (kg/m2).
1 Excludes pregnant women and women with a birth in the preceding 2 months
Table 10.20.2 Nutritional status of men by state/union territory
Among men age 15-49, mean body mass index (BMI) and percentage with specific BMI levels, by state/union territory, India, 2019-21
Body Mass Index

<17.0 ≥25.0
Mean 18.5-24.9 <18.5 17.0-18.4 (moderately/ (overweight 25.0-29.9 ≥30.0
State/union territory BMI (normal) (total thin) (mildly thin) severely thin) or obese) (overweight) (obese)
India 22.4 60.9 16.2 9.6 6.6 22.9 18.9 4.0
North
Chandigarh 23.6 50.5 15.1 5.0 10.1 34.4 25.9 8.6
Delhi 24.0 52.9 9.1 5.0 4.1 38.0 31.1 6.9
Haryana 23.0 57.1 14.5 9.0 5.6 28.3 22.4 5.9
Jammu & Kashmir 23.8 64.0 4.3 2.8 1.5 31.7 28.7 3.0
Ladakh 24.2 60.1 2.1 1.5 0.6 37.8 34.9 2.9
Punjab 23.4 55.2 12.5 7.7 4.8 32.3 24.0 8.3
426
Rajasthan 21.9 71.1 14.0 9.2 4.7 15.0 13.8 1.2
Uttarakhand 22.7 56.7 16.2 10.4 5.8 27.1 22.0 5.0
Central
Chhattisgarh 21.7 67.6 17.4 11.4 6.1 15.0 12.6 2.3
Madhya Pradesh 21.5 63.6 20.8 12.9 7.9 15.6 13.0 2.6
Uttar Pradesh 21.9 63.5 18.0 11.3 6.7 18.5 15.6 2.9
East
Bihar 21.4 63.8 21.6 12.8 8.7 14.7 13.0 1.7
Jharkhand 21.8 67.8 17.1 10.9 6.2 15.1 13.7 1.4
Odisha 22.3 62.4 15.3 10.0 5.4 22.2 18.1 4.1
West Bengal 22.0 68.7 15.1 9.5 5.6 16.2 14.3 1.9
Continued…
Table 10.20.2 Nutritional status of men by state/union territory—Continued
Among men age 15-49, mean body mass index (BMI) and percentage with specific BMI levels, by state/union territory, India, 2019-21
Body Mass Index

<17.0 ≥25.0
Mean 18.5-24.9 <18.5 (total 17.0-18.4 (moderately/ (overweight 25.0-29.9 ≥30.0
State/union territory BMI (normal) thin) (mildly thin) severely thin) or obese) (overweight) (obese)
Northeast
Assam 22.1 70.3 13.4 8.2 5.2 16.2 14.3 1.9
Manipur 23.3 61.7 8.0 5.3 2.7 30.3 26.4 3.9
Meghalaya 22.1 77.1 9.0 6.0 2.9 13.9 12.3 1.6
Mizoram 23.6 62.8 5.1 3.5 1.6 32.1 26.5 5.6
Nagaland 22.9 68.6 7.5 5.0 2.5 23.9 21.3 2.6
Sikkim 24.3 58.7 4.9 2.5 2.4 36.3 30.5 5.8
Tripura 22.6 64.1 12.4 9.1 3.4 23.5 20.5 3.0
427
West
Daman & Diu 22.1 60.4 18.2 9.2 9.1 21.4 18.3 3.1
Goa 23.2 54.9 12.5 6.2 6.3 32.6 29.8 2.8
Gujarat 21.9 59.1 20.9 11.1 9.8 20.0 15.6 4.4
Maharashtra 22.6 59.1 16.2 9.1 7.1 24.7 20.1 4.7
South
Andhra Pradesh 22.9 52.4 16.5 10.5 6.0 31.1 24.8 6.3
Karnataka 23.2 54.8 14.3 8.4 6.0 30.9 25.0 5.8
Kerala 23.8 53.6 10.0 5.6 4.5 36.4 29.7 6.7
Lakshadweep 24.0 53.3 5.5 3.0 2.5 41.3 36.2 5.0
Puducherry 24.3 45.6 11.1 7.3 3.7 43.3 34.1 9.2
Tamil Nadu 23.8 50.9 12.1 7.1 5.0 37.1 28.3 8.7
Telangana 23.3 51.4 16.3 8.1 8.2 32.4 24.8 7.5
Note: The Body Mass Index (BMI) is expressed as the ratio of weight in kilograms to the square of height in meters (kg/m2).
Table 10.21 Waist circumference and waist-to-hip ratio
Among women and men age 15-49, percentage with specific waist circumferences and waist-to-hip ratios, by background characteristics, India, 2019-21
Women Men
Waist circumference Waist-to-hip ratio Waist circumference Waist-to-hip ratio
Substantially Substantially
Increased risk increased risk Increased risk Increased risk increased risk of Increased risk
of metabolic of metabolic of metabolic of metabolic metabolic of metabolic
complications complications complications Number complications complications complications Number
Background characteristic Normal (>80 cm)1 (>88 cm) Normal (≥0.85 cm) of women Normal (>94 cm)2 (>102 cm) Normal (≥0.90 cm) of men
Age
15-19 87.1 12.9 4.0 53.7 46.3 112,254 97.2 2.8 0.8 71.9 28.1 15,040
20-29 67.6 32.4 13.4 46.8 53.2 201,603 92.2 7.8 2.2 57.5 42.5 26,120
30-39 50.5 49.5 25.7 40.7 59.3 185,028 83.5 16.5 5.2 44.7 55.3 24,277
40-49 42.9 57.1 32.4 35.2 64.8 160,269 79.6 20.4 6.5 40.5 59.5 20,539
Marital status
Never married 82.0 18.0 6.2 52.0 48.0 161,299 94.3 5.7 1.7 64.6 35.4 33,163
Currently married 53.1 46.9 24.2 40.6 59.4 468,428 83.3 16.7 5.2 44.5 55.5 51,714
428
Widowed 50.2 49.8 26.7 39.6 60.4 21,746 91.7 8.3 1.1 58.0 42.0 420
Divorced/separated/deserted 55.3 44.7 23.5 42.6 57.4 7,682 85.2 14.8 4.0 49.8 50.2 680
Residence
Urban 50.1 49.9 27.6 40.2 59.8 210,649 83.7 16.3 5.6 49.9 50.1 29,148
Rural 64.8 35.2 16.3 45.0 55.0 448,505 89.6 10.4 2.9 53.6 46.4 56,828
Schooling
No schooling 60.3 39.7 18.6 41.0 59.0 152,010 91.3 8.7 2.6 50.3 49.7 9,348
<5 years complete 57.8 42.2 21.3 41.9 58.1 35,178 89.6 10.4 3.3 47.4 52.6 5,469
5-7 years complete 57.8 42.2 21.8 43.3 56.7 88,965 88.6 11.4 3.5 50.9 49.1 11,356
8-9 years complete 64.8 35.2 17.5 44.8 55.2 117,672 90.3 9.7 3.2 55.9 44.1 17,237
10-11 years complete 62.4 37.6 19.3 45.8 54.2 99,878 86.6 13.4 4.0 54.1 45.9 15,444
12 or more years complete 57.0 43.0 21.7 43.6 56.4 165,450 84.3 15.7 4.8 51.4 48.6 27,123
Continued…
Table 10.21 Waist circumference and waist-to-hip ratio—Continued
Among women and men age 15-49, percentage with specific waist circumferences and waist-to-hip ratios, by background characteristics, India, 2019-21
Women Men
Increased risk increased risk Increased risk Increased risk increased risk Increased risk
of metabolic of metabolic of metabolic of metabolic of metabolic of metabolic
complications complications complications Number complications complications complications Number
Background characteristic Normal (>80 cm)1 (>88 cm) Normal (≥0.85 cm) of women Normal (>94 cm)2 (>102 cm) Normal (≥0.90 cm) of men
Religion
Hindu 61.4 38.6 18.9 45.1 54.9 539,319 87.6 12.4 3.9 52.8 47.2 68,337
Muslim 55.5 44.5 22.9 35.0 65.0 86,317 89.8 10.2 3.1 50.3 49.7 13,209
Christian 51.7 48.3 26.9 39.7 60.3 15,542 82.6 17.4 4.5 52.6 47.4 2,270
Sikh 37.5 62.5 40.4 28.0 72.0 10,055 77.8 22.2 9.0 40.7 59.3 739
Buddhist/Neo-Buddhist 67.9 32.1 15.8 56.2 43.8 4,173 81.1 18.9 3.7 61.2 38.8 940
Jain 56.7 43.3 22.1 47.4 52.6 1,268 82.2 17.8 2.4 49.4 50.6 218
Other 74.3 25.7 11.4 42.8 57.2 2,480 76.9 23.1 10.2 50.4 49.6 262
Caste/tribe
429
Scheduled caste 62.0 38.0 18.4 43.3 56.7 144,746 88.4 11.6 3.4 52.2 47.8 17,673
Scheduled tribe 75.4 24.6 9.4 47.0 53.0 61,770 93.6 6.4 1.5 60.1 39.9 7,998
Other backward class 60.2 39.8 19.7 45.6 54.4 282,887 86.9 13.1 4.0 52.7 47.3 35,962
Other 52.5 47.5 25.3 38.5 61.5 165,229 86.0 14.0 4.6 49.2 50.8 23,878
Don't know 60.5 39.5 20.1 41.5 58.5 4,521 89.4 10.6 7.8 57.5 42.5 466
Wealth quintile
Lowest 76.2 23.8 8.8 44.6 55.4 121,944 95.8 4.2 1.1 56.3 43.7 14,674
Second 68.0 32.0 13.6 45.3 54.7 133,384 93.0 7.0 1.9 55.5 44.5 17,374
Middle 60.3 39.7 19.2 44.8 55.2 137,249 88.6 11.4 2.9 54.0 46.0 18,524
Fourth 53.0 47.0 24.9s 43.0 57.0 137,690 82.9 17.1 5.2 50.2 49.8 19,011
Highest 44.2 55.8 32.2 39.3 60.7 128,887 78.9 21.1 7.8 46.1 53.9 16,394
Total 60.1 39.9 19.9 43.4 56.6 659,154 87.6 12.4 3.8 52.3 47.7 85,976
Note: Table excludes pregnant women and women with a birth in the preceding 2 months.
1 Includes women with a waist circumference >88 cm
2 Includes men with a waist circumference >102 cm
Among women and men age 15-49, percentage with specific waist circumferences and waist-to-hip ratios, by state/union territory, India, 2019-21
Women Men
complications complications complications complications complications complications
State/union territory Normal (>80 cm)1 (>88 cm) Normal (≥0.85 cm) Normal (>94 cm)2 (>102 cm) Normal (≥0.90 cm)
India 60.1 39.9 19.9 43.4 56.6 87.6 12.4 3.8 52.3 47.7
North
Chandigarh 43.9 56.1 35.1 39.5 60.5 74.4 25.6 4.4 33.1 66.9
Delhi 40.6 59.4 35.9 32.3 67.7 72.6 27.4 9.8 38.2 61.8
Haryana 45.7 54.3 31.3 37.5 62.5 79.6 20.4 7.8 41.7 58.3
Jammu & Kashmir 49.5 50.5 25.2 12.2 87.8 87.8 12.2 4.8 39.3 60.7
Ladakh 58.5 41.5 21.5 13.6 86.4 82.9 17.1 4.8 39.2 60.8
430
Punjab 36.7 63.3 42.8 27.3 72.7 75.2 24.8 10.0 36.9 63.1
Rajasthan 65.3 34.7 12.0 41.0 59.0 93.5 6.5 1.5 57.6 42.4
Uttarakhand 49.1 50.9 27.1 37.2 62.8 80.8 19.2 5.2 44.0 56.0
Central
Chhattisgarh 72.6 27.4 11.6 44.6 55.4 93.7 6.3 1.4 55.7 44.3
Madhya Pradesh 75.0 25.0 10.5 59.6 40.4 91.6 8.4 2.4 60.9 39.1
Uttar Pradesh 62.7 37.3 17.6 43.3 56.7 88.7 11.3 4.0 47.9 52.1
East
Bihar 69.3 30.7 13.8 39.8 60.2 91.4 8.6 2.6 52.3 47.7
Jharkhand 75.9 24.1 9.8 41.4 58.6 92.9 7.1 1.9 53.5 46.5
Odisha 58.6 41.4 20.4 37.2 62.8 87.2 12.8 3.4 44.4 55.6
West Bengal 54.0 46.0 22.4 25.4 74.6 93.3 6.7 1.3 42.8 57.2
Continued…
Among women and men age 15-49, percentage with specific waist circumferences and waist-to-hip ratios, by state/union territory, India, 2019-21
Women Men
complications complications complications complications complications complications
State/union territory Normal (>80 cm)1 (>88 cm) Normal (≥0.85 cm) Normal (>94 cm)2 (>102 cm) Normal (≥0.90 cm)
Northeast
Assam 68.7 31.3 12.2 32.9 67.1 94.7 5.3 1.5 55.1 44.9
Manipur 50.6 49.4 25.8 34.6 65.4 88.4 11.6 2.2 51.3 48.7
Meghalaya 72.6 27.4 7.8 39.8 60.2 98.1 1.9 0.5 75.3 24.7
Mizoram 61.0 39.0 13.6 52.5 47.5 92.4 7.6 1.8 71.9 28.1
Nagaland 73.6 26.4 8.0 38.0 62.0 96.4 3.6 0.6 70.6 29.4
Sikkim 46.0 54.0 28.8 24.4 75.6 91.2 8.8 2.3 43.3 56.7
Tripura 69.3 30.7 13.7 37.5 62.5 93.9 6.1 1.2 58.0 42.0
431
West
Daman & Diu 68.7 31.3 14.5 54.7 45.3 90.2 9.8 2.2 68.9 31.1
Goa 51.3 48.7 23.1 49.1 50.9 87.0 13.0 4.2 64.6 35.4
Gujarat 67.3 32.7 15.6 56.3 43.7 88.3 11.7 4.3 59.2 40.8
Maharashtra 63.1 36.9 18.1 55.6 44.4 86.2 13.8 4.4 59.3 40.7
South
Andhra Pradesh 49.8 50.2 28.4 51.2 48.8 80.3 19.7 5.7 47.0 53.0
Karnataka 63.6 36.4 17.8 55.0 45.0 87.5 12.5 3.9 61.1 38.9
Kerala 34.3 65.7 38.6 29.4 70.6 76.5 23.5 6.3 43.2 56.8
Lakshadweep 42.2 57.8 29.6 31.6 68.4 94.0 6.0 0.0 46.1 53.9
Puducherry 36.2 63.8 40.6 45.7 54.3 71.3 28.7 11.1 46.1 53.9
Tamil Nadu 41.7 58.3 34.5 44.3 55.7 75.3 24.7 8.0 43.8 56.2
Telangana 58.7 41.3 20.6 56.0 44.0 79.7 20.3 6.5 53.9 46.1
Note: Table excludes pregnant women and women with a birth in the 2 months preceding the survey.
1 Includes women with a waist circumference >88 cm; 2 Includes men with a waist circumference >102 cm
Table 10.23.1 Prevalence of anaemia in women
Percentage of women age 15-49 with anaemia by background characteristics, India, 2019-21, and total for NFHS-4
Women
Mild Moderate Severe Any anaemia Number
Background characteristic (11.0-11.9 g/dl)1 (8.0-10.9 g/dl)2 (<8.0 g/dl)3 (<12.0 g/dl)4 of women
Age
15-19 26.4 30.1 2.6 59.1 114,624
20-29 26.0 28.6 2.2 56.8 223,334
30-39 25.5 28.0 2.8 56.3 187,116
40-49 24.7 28.8 3.2 56.7 156,961
Marital status
Never married 25.9 28.2 2.6 56.7 159,319
Widowed 24.7 31.0 4.1 59.8 21,286
Divorced/separated/deserted 24.6 29.4 4.4 58.3 7,599
Maternity status
Pregnant 24.4 26.3 1.4 52.2 25,802
Breastfeeding 27.1 31.5 2.0 60.6 96,147
Neither 25.4 28.4 2.8 56.6 560,086
Number of children ever born

0 25.7 27.9 2.6 56.1 207,125
1 26.4 28.2 2.0 56.6 97,226
2-3 25.4 29.2 2.9 57.5 289,052
4-5 25.4 29.9 2.8 58.1 71,040
6 or more 25.6 29.6 3.0 58.2 17,592
Residence
Urban 25.2 26.2 2.4 53.8 214,754
Rural 25.8 29.9 2.8 58.5 467,281
Schooling
No schooling 25.5 30.8 3.1 59.4 154,874
<5 years complete 26.5 31.5 3.3 61.2 35,989
5-7 years complete 25.5 29.9 3.1 58.4 92,011
8-9 years complete 26.3 30.1 2.6 59.0 122,632
10-11 years complete 25.7 28.2 2.6 56.5 103,465
Religion
Hindu 25.7 29.0 2.7 57.4 558,120
Muslim 26.0 27.5 2.0 55.6 89,591
Christian 23.7 24.6 2.8 51.1 16,039
Sikh 24.9 30.7 3.2 58.8 10,177
Buddhist/Neo-Buddhist 24.8 29.4 3.0 57.3 4,250
Jain 23.3 21.1 0.8 45.2 1,284
Other 28.4 34.8 2.2 65.5 2,574
Caste/tribe
Scheduled caste 25.5 30.5 3.2 59.2 150,437
Scheduled tribe 26.4 35.2 3.0 64.6 64,528
Other 26.1 27.9 2.3 56.4 169,483
Don't know 26.7 32.0 2.9 61.7 4,666
Continued…
432
Table 10.23.1 Prevalence of anaemia in women—Continued
Percentage of women age 15-49 with anaemia by background characteristics, India, 2019-21, and total for NFHS-4
Women
Background characteristic (11.0-11.9 g/dl)1 (8.0-10.9 g/dl)2 (<8.0 g/dl)3 (<12.0 g/dl)4 of women
Wealth quintile
Lowest 27.2 33.7 2.8 63.7 128,028
Second 26.4 30.3 2.9 59.5 138,653
Middle 25.4 28.5 3.0 56.9 141,834
Fourth 24.8 26.9 2.6 54.4 141,999
Highest 24.5 24.5 2.0 51.0 131,522
Smoking status
Smokes cigarettes/tobacco 24.8 34.2 4.5 63.5 27,983
Does not smoke 25.7 28.5 2.6 56.8 654,052
Total 25.6 28.7 2.7 57.0 682,035
NFHS-4 (2015-16) 24.7 26.0 2.4 53.1 679,445
Note: Table is based on women who stayed in the household the night before the interview. Prevalence is adjusted for altitude and for smoking
status, if known, using the CDC formulas (Centers for Disease Control (CDC). 1998. Recommendations to prevent and control iron deficiency in the
United States. Morbidity and Mortality Weekly Report 47 (RR-3): 1-29). Haemoglobin levels are shown in grams per decilitre (g/dl).
1
For pregnant women, the value is 10.0-10.9 g/dl
2
For pregnant women, the value is 7.0-9.9 g/dl
3
For pregnant women, the value is <7.0 g/dl
4
For pregnant women, the value is <11.0 g/dl
433
Table 10.23.2 Prevalence of anaemia in men
Percentage of men age 15-49 with anaemia by background characteristics, India, 2019-21
Men
Background characteristic (12.0-12.9 g/dl) (9.0-11.9 g/dl) (<9.0 g/dl) (<13.0 g/dl) of men
Age
15-19 25.3 5.5 0.3 31.1 14,915
20-29 17.5 3.5 0.3 21.3 25,861
30-39 18.5 4.1 0.3 22.9 23,990
40-49 22.0 5.4 0.7 28.1 20,055
Marital status
Never married 20.5 4.3 0.3 25.2 32,867
Widowed 23.2 7.2 0.3 30.8 403
Divorced/separated/deserted 21.0 3.6 0.9 25.5 673
Residence
Urban 16.8 3.5 0.2 20.4 28,670
Rural 22.0 5.0 0.5 27.4 56,152
Schooling
No schooling 25.3 6.1 0.6 32.0 9,243
<5 years complete 24.5 5.8 0.6 30.9 5,425
5-7 years complete 22.2 4.8 0.8 27.8 11,230
8-9 years complete 23.2 5.4 0.3 28.9 17,013
10-11 years complete 18.7 4.3 0.3 23.3 15,234
Religion
Hindu 20.0 4.4 0.4 24.8 67,382
Muslim 22.6 4.9 0.2 27.8 13,071
Christian 15.5 2.5 0.3 18.3 2,235
Sikh 18.2 4.2 0.5 22.9 726
Jain 19.0 1.2 0.0 20.1 218
Other 22.0 1.5 0.3 23.8 259
Caste/tribe
Scheduled caste 20.9 4.8 0.4 26.1 17,455
Scheduled tribe 26.3 5.9 0.5 32.7 7,904
Other 20.6 4.5 0.4 25.5 23,561
Don't know 24.1 3.1 0.2 27.5 461
Continued…
434
Table 10.23.2 Prevalence of anaemia in men—Continued
Percentage of men age 15-49 with anaemia by background characteristics, India, 2019-21
Men
Background characteristic (12.0-12.9 g/dl) (9.0-11.9 g/dl) (<9.0 g/dl) (<13.0 g/dl) of men
Wealth quintile
Lowest 28.7 6.5 0.7 35.9 14,528
Second 22.7 5.3 0.5 28.6 17,169
Middle 19.3 4.2 0.4 23.9 18,345
Fourth 16.8 3.6 0.2 20.6 18,716
Highest 14.9 3.0 0.1 18.0 16,064
Smoking status
Smokes cigarettes/tobacco 21.8 5.2 0.6 27.6 34,045
Does not smoke 19.2 4.0 0.3 23.4 50,777
Total age 15-49 20.2 4.5 0.4 25.1 84,822
Age 50-54 24.0 7.2 0.9 32.1 7,998
Total age 15-54 20.5 4.7 0.4 25.7 92,820
Note: Table is based on men who stayed in the household the night before the interview. Prevalence is adjusted for altitude and for smoking
status, if known, using the CDC formulas (Centers for Disease Control (CDC). 1998. Recommendations to prevent and control iron deficiency in
the United States. Morbidity and Mortality Weekly Report 47 (RR-3): 1-29). Haemoglobin levels are shown in grams per decilitre (g/dl).
435
Table 10.24 Prevalence of anaemia in women and men by state/union territory
Percentage of women and men age 15-49 with anaemia by state/union territory, India, 2019-21
Women Men
Any Any
Mild Moderate Severe anaemia Mild Moderate Severe anaemia
State/union territory (11.0-11.9 g/dl)1 (8.0-10.9 g/dl)2 (<8.0 g/dl)3 (<12.0 g/dl)4 (12.0-12.9 g/dl) (9.0-11.9 g/dl) (<9.0 g/dl) (<13.0 g/dl)
India 25.6 28.7 2.7 57.0 20.2 4.5 0.4 25.1
North
Chandigarh 28.2 29.3 2.8 60.3 9.2 0.0 0.0 9.2
Delhi 23.1 24.0 2.9 49.9 10.9 1.7 0.2 12.8
Haryana 25.1 31.5 3.9 60.4 16.4 2.3 0.2 19.0
Jammu & Kashmir 25.3 37.8 2.8 65.9 28.5 8.0 0.2 36.7
Ladakh 13.4 49.7 29.7 92.8 37.9 27.4 10.4 75.6
Punjab 24.6 31.1 3.0 58.6 18.6 3.7 0.3 22.6
Rajasthan 24.1 27.9 2.3 54.4 18.9 3.9 0.4 23.2
Uttarakhand 21.2 19.1 2.3 42.6 12.5 2.0 0.5 15.1
Central
Chhattisgarh 27.1 31.2 2.6 60.8 21.4 5.0 0.6 27.0
Madhya Pradesh 25.7 26.6 2.3 54.7 18.6 3.4 0.4 22.5
Uttar Pradesh 24.3 23.9 2.1 50.4 16.9 4.1 0.4 21.4
East
Bihar 29.7 31.7 2.1 63.5 24.3 4.8 0.4 29.5
Jharkhand 29.4 34.0 1.9 65.3 25.0 4.1 0.4 29.6
Odisha 29.0 32.8 2.5 64.3 23.9 4.3 0.3 28.5
West Bengal 30.1 39.0 2.2 71.4 31.1 7.4 0.5 39.0
Northeast
Assam 28.8 34.8 2.3 65.9 28.8 6.7 0.5 36.0
Manipur 18.5 9.9 1.0 29.4 5.2 0.6 0.2 6.0
Meghalaya 23.6 27.8 2.4 53.8 21.7 3.2 0.6 25.5
Mizoram 19.5 14.0 1.3 34.8 13.4 2.1 0.1 15.6
Nagaland 17.9 10.3 0.7 28.9 8.4 1.5 0.0 10.0
Sikkim 20.1 19.3 2.6 42.0 16.1 2.6 0.0 18.7
Tripura 30.9 34.2 2.1 67.2 28.9 7.1 0.8 36.8
West
Daman & Diu 29.5 30.8 2.2 62.5 21.9 2.5 0.2 24.6
Goa 23.2 14.8 1.0 38.9 10.3 1.7 0.0 12.0
Gujarat 25.9 35.2 3.9 65.0 20.7 5.4 0.5 26.6
Maharashtra 24.1 27.3 2.8 54.2 18.2 3.5 0.2 21.9
South
Andhra Pradesh 25.1 29.1 4.6 58.8 12.5 3.0 0.7 16.3
Karnataka 22.1 22.7 2.9 47.8 15.2 4.2 0.3 19.6
Kerala 21.0 14.1 1.2 36.3 15.4 2.1 0.1 17.6
Lakshadweep 14.3 10.8 0.7 25.8 4.3 1.3 0.0 5.6
Puducherry 24.0 27.5 3.7 55.1 16.4 3.1 0.0 19.5
Tamil Nadu 23.9 25.9 3.5 53.4 12.4 2.4 0.4 15.2
Telangana 22.1 30.8 4.8 57.6 12.4 2.7 0.2 15.3
Note: Table is based on women and men who stayed in the household the night before the interview. Prevalence is adjusted for altitude and for smoking status, if known, using
the CDC formulas (Centers for Disease Control (CDC). 1998. Recommendations to prevent and control iron deficiency in the United States. Morbidity and Mortality Weekly Report
47 (RR-3): 1-29). Haemoglobin levels are shown in grams per decilitre (g/dl).
1
For pregnant women, the value is 10.0-10.9 g/dl 2 For pregnant women, the value is 7.0-9.9 g/dl 3 For pregnant women, the value is <7.0 g/dl 4 For pregnant women, the value
is <11.0 g/dl
436
Table 10.25 Women's and men's food consumption
Percent distribution of women and men age 15-49 by frequency of consumption of specific foods, India, 2019-21
Frequency of consumption
Type of food Daily Weekly Occasionally Never Total Number
WOMEN
Milk or curd 48.8 23.5 21.9 5.8 100.0 724,115

Pulses or beans 49.6 43.3 6.7 0.4 100.0 724,115
Dark green, leafy vegetables 52.0 38.8 8.9 0.3 100.0 724,115
Fruits 12.5 37.1 48.7 1.6 100.0 724,115
Eggs 5.2 39.9 26.9 28.0 100.0 724,115
Fish 5.1 30.6 29.9 34.4 100.0 724,115
Chicken, meat 1.4 34.5 32.6 31.5 100.0 724,115
Fish, chicken or meat 5.9 39.3 25.4 29.4 100.0 724,115
Fried foods 7.4 35.6 52.6 4.4 100.0 724,115
Aerated drinks 2.7 12.9 68.7 15.7 100.0 724,115
MEN
Milk or curd 48.8 31.0 16.4 3.7 100.0 93,144

Pulses or beans 48.1 45.0 6.4 0.4 100.0 93,144
Dark green, leafy vegetables 51.5 40.9 7.3 0.4 100.0 93,144
Fruits 12.2 44.0 42.3 1.5 100.0 93,144
Eggs 7.1 50.7 26.9 15.4 100.0 93,144
Fish 6.8 39.0 32.8 21.4 100.0 93,144
Chicken, meat 2.4 44.5 34.8 18.3 100.0 93,144
Fish, chicken or meat 8.0 49.3 26.1 16.6 100.0 93,144
Fried foods 9.2 35.9 47.5 7.3 100.0 93,144
Aerated drinks 4.2 20.9 61.3 13.6 100.0 93,144
437
Table 10.26.1 Women's food consumption
Percentage of women age 15-49 consuming specific foods at least once a week by background characteristics, India, 2019-21
Type of food
Dark green, Fish,
Milk Pulses leafy Chicken chicken Fried Aerated Number
Background characteristic or curd or beans vegetables Fruits Eggs Fish or meat or meat foods drinks of women
Age
15-19 69.8 91.9 89.4 47.0 43.1 32.8 33.7 42.1 45.6 16.9 122,544
20-29 72.6 93.1 91.3 51.9 46.0 35.7 36.8 45.4 44.0 16.3 236,584
30-39 72.4 93.3 91.1 49.7 46.0 36.8 36.7 46.2 42.4 15.2 197,936
40-49 73.3 93.0 90.7 48.4 44.2 36.5 35.4 45.7 40.6 14.3 167,051
Marital status
Never married 71.7 92.1 89.9 50.7 42.8 32.0 33.3 41.4 45.6 18.0 172,075
Currently married 72.7 93.3 91.2 49.8 45.6 37.0 36.7 46.2 42.5 15.0 521,352
Widowed 68.6 91.4 89.7 41.7 47.0 34.4 36.2 46.3 37.1 13.3 22,597
Divorced/separated/
deserted 65.8 91.3 88.2 43.5 52.1 38.7 40.5 51.7 39.1 12.9 8,091
Maternity status
Pregnant 75.6 92.8 91.7 59.3 44.6 35.7 35.2 44.4 41.9 14.9 27,125
Breastfeeding 69.9 93.6 91.6 46.6 46.4 38.0 37.0 46.5 44.0 14.3 100,596
Neither 72.5 92.8 90.6 49.8 44.9 35.3 35.8 44.9 42.9 15.9 596,394
Residence
Urban 78.8 94.2 91.3 64.5 51.9 38.9 42.4 50.8 45.5 19.2 235,279
Rural 69.1 92.3 90.6 42.5 41.8 34.2 32.8 42.4 41.8 13.9 488,836
Schooling
No schooling 66.0 92.1 90.1 34.3 41.2 31.9 33.9 42.0 38.9 12.6 163,492
<5 years complete 62.9 91.7 91.3 38.6 51.7 45.7 41.3 55.2 43.0 12.5 37,549
5-7 years complete 69.4 92.8 90.7 44.1 46.1 36.7 37.4 47.0 41.6 14.0 96,806
8-9 years complete 68.4 92.7 91.0 46.7 44.4 37.0 34.5 44.7 44.7 14.8 129,094
10-11 years complete 76.3 93.1 90.5 56.3 47.9 37.5 38.4 48.0 44.3 17.3 109,777
12 or more years
complete 81.3 94.0 91.4 66.4 45.4 34.6 35.3 43.5 45.5 19.3 187,396
Religion
Hindu 72.9 93.3 91.2 48.9 41.5 32.4 32.0 40.7 42.2 15.2 589,164
Muslim 68.2 91.9 89.5 51.4 65.6 54.4 58.1 70.2 50.1 17.7 97,595
Christian 69.6 86.9 81.8 58.8 70.9 63.2 61.6 78.0 47.5 18.1 16,995
Sikh 83.8 91.0 93.5 60.0 13.4 4.2 7.0 7.9 27.4 14.8 11,404
Jain 92.2 98.6 95.2 78.7 6.7 2.6 3.3 4.3 36.1 25.7 1,632
Other 38.9 90.6 91.4 36.4 46.8 41.9 39.4 49.4 37.1 11.6 2,754
Caste/tribe
Scheduled caste 68.7 92.2 90.6 44.4 48.4 37.4 37.7 47.7 42.9 15.0 158,483
Scheduled tribe 54.9 90.3 91.0 37.4 46.4 36.0 37.1 46.0 38.0 12.5 67,263
Other 74.9 93.5 91.9 57.9 45.7 39.6 37.5 47.7 47.0 18.1 182,474
Don't know 57.9 91.3 91.1 44.0 50.5 43.9 41.6 53.1 42.4 13.5 5,112
Wealth quintile
Lowest 52.6 91.3 91.1 26.8 41.4 38.5 31.5 44.0 41.8 10.9 133,973
Second 65.9 92.2 90.7 37.9 45.0 37.2 35.3 45.7 43.0 13.1 144,813
Middle 74.5 92.7 90.1 48.3 48.4 36.7 39.1 48.1 42.4 15.2 148,616
Fourth 80.1 93.6 90.2 59.4 48.0 36.2 39.4 47.7 43.3 17.7 150,680
Highest 86.2 94.7 91.9 73.7 42.2 30.2 33.7 39.9 44.6 20.8 146,032
Total 72.2 92.9 90.8 49.7 45.1 35.7 35.9 45.1 43.0 15.6 724,115
438
Table 10.26.2 Men's food consumption
Percentage of men age 15-49 consuming specific foods at least once a week by background characteristics, India, 2019-21
Type of food
Pulses Dark green, Fish,
Milk or or leafy Chicken chicken Fried Aerated Number
Background characteristic curd beans vegetables Fruits Eggs Fish or meat or meat foods drinks of men
Age
15-19 80.8 92.6 91.9 53.5 55.4 41.8 44.5 54.2 45.8 27.1 16,385
20-29 79.7 92.5 91.8 57.0 59.0 46.1 48.6 57.7 46.2 27.6 28,579
30-39 80.0 94.0 92.8 57.3 58.2 47.2 47.6 58.2 45.4 24.7 26,137
40-49 79.0 93.6 93.0 55.7 57.3 46.7 45.5 57.8 42.8 20.8 22,043
Marital status
Never married 81.4 92.6 91.7 58.0 58.2 44.9 47.4 56.9 46.7 29.0 36,503
Widowed 73.8 93.5 91.5 42.9 52.9 43.5 40.3 49.1 46.5 24.1 443
Divorced/separated/
deserted 70.4 91.7 92.9 46.2 50.7 39.3 40.6 51.5 38.3 23.5 723
Residence
Urban 85.6 94.1 93.0 66.5 61.0 46.4 50.8 60.0 47.3 30.4 32,852
Rural 76.6 92.7 92.0 50.5 56.0 45.4 44.7 55.8 43.9 22.2 60,291
Schooling
No schooling 72.3 91.6 90.3 42.9 58.2 46.7 48.2 59.0 44.5 18.8 9,982
<5 years complete 66.3 91.9 92.4 46.2 65.2 58.9 51.5 66.8 45.8 18.9 5,842
5-7 years complete 74.1 92.8 92.2 48.5 59.9 50.5 49.2 61.1 44.4 21.8 12,082
8-9 years complete 76.8 92.6 92.6 50.9 55.7 45.5 44.6 56.0 44.0 21.9 18,472
10-11 years complete 84.1 93.3 92.9 60.1 57.2 43.8 46.3 56.4 44.3 27.6 16,735
12 or more years
complete 86.7 94.4 92.8 66.6 56.9 42.3 46.3 54.6 46.6 30.3 30,032
Religion
Hindu 81.0 93.7 92.5 55.5 54.5 42.0 42.8 52.5 44.1 24.6 73,632
Muslim 73.7 91.1 92.2 56.3 73.2 63.4 65.0 79.5 50.4 26.5 14,633
Christian 74.9 88.2 90.1 67.5 72.7 65.0 66.2 80.0 53.2 30.1 2,426
Sikh 92.9 94.2 90.8 67.2 29.7 9.6 17.9 19.5 29.9 28.6 886
Jain 97.7 96.3 95.5 79.2 11.0 4.0 14.9 14.9 33.9 36.2 280
Other 55.7 86.8 91.4 55.7 67.5 49.3 45.1 57.6 50.4 19.6 269
Caste/tribe
Scheduled caste 76.3 93.4 92.1 51.6 60.8 48.3 48.3 60.4 45.0 23.0 18,977
Scheduled tribe 66.7 89.8 91.3 46.5 57.1 45.6 50.3 58.8 40.8 19.0 8,441
Other 80.2 93.0 93.0 61.2 58.6 49.7 46.0 59.4 48.7 27.3 26,244
Don't know 68.5 89.1 93.3 62.8 73.6 64.1 60.2 76.4 50.6 17.7 496
Wealth quintile
Lowest 61.9 90.8 91.6 37.2 55.6 52.3 42.6 58.9 46.0 16.2 15,606
Second 73.4 92.8 92.5 45.9 57.7 48.8 47.1 58.6 45.7 20.2 18,497
Middle 81.7 93.0 92.2 55.7 60.3 45.8 48.8 58.8 43.8 25.1 19,829
Fourth 86.8 93.9 92.4 64.1 59.9 44.7 50.3 58.8 44.8 28.9 20,658
Highest 91.4 95.0 93.1 73.9 54.5 38.6 44.3 51.3 45.6 33.4 18,553
Total age 15-49 79.8 93.2 92.4 56.1 57.8 45.8 46.9 57.3 45.1 25.1 93,144
Age 50-54 78.8 93.4 92.5 54.7 54.1 45.1 42.8 54.9 40.5 19.3 8,695
Total age 15-54 79.7 93.2 92.4 56.0 57.4 45.7 46.5 57.1 44.7 24.6 101,839
439
Table 10.27.1 Women's food consumption by state/union territory
Percentage of women age 15-49 consuming specific foods at least once a week by state/union territory, India, 2019-21
Type of food
Milk Pulses Dark green, Fish,
or or leafy Chicken chicken Fried Aerated
State/union territory curd beans vegetables Fruits Eggs Fish or meat or meat foods drinks
India 72.2 92.9 90.8 49.7 45.1 35.7 35.9 45.1 43.0 15.6
North
Chandigarh 84.6 96.1 97.1 75.0 24.3 6.3 11.7 12.9 31.0 24.0
Delhi 79.7 97.0 93.6 76.9 48.8 21.2 34.9 37.5 51.6 21.8
Haryana 87.3 94.0 93.1 60.7 10.6 3.4 5.7 6.3 33.5 17.6
Jammu & Kashmir 86.5 80.7 90.1 69.7 40.6 16.2 43.9 46.9 37.6 27.4
Ladakh 92.0 81.2 86.5 67.4 49.9 10.5 43.6 46.1 45.3 32.0
Punjab 83.2 91.0 93.4 61.0 13.0 3.6 6.3 7.0 25.5 13.0
Rajasthan 88.8 90.8 90.2 46.1 12.4 4.5 7.3 8.3 39.5 12.7
Uttarakhand 74.8 95.4 93.1 60.6 33.8 13.7 19.1 22.1 35.8 10.5
Central
Chhattisgarh 44.6 92.4 97.3 42.9 39.7 31.0 28.8 34.2 30.5 10.7
Madhya Pradesh 63.7 94.5 92.5 43.0 20.3 11.5 12.2 14.9 40.8 9.8
Uttar Pradesh 70.7 93.6 91.5 39.6 25.4 15.3 16.8 19.8 47.4 12.0
East
Bihar 71.2 96.2 90.9 34.4 35.6 36.8 32.7 42.2 44.4 19.2
Jharkhand 53.3 94.9 96.3 36.9 48.1 40.7 39.5 47.7 36.9 10.2
Odisha 30.0 95.4 98.4 24.9 60.1 66.3 45.3 69.3 54.3 10.0
West Bengal 53.1 92.9 97.5 44.2 83.0 87.8 63.5 90.4 62.5 13.0
Northeast
Assam 54.8 92.3 86.3 49.9 67.0 81.0 57.5 85.4 73.1 25.8
Manipur 46.1 82.8 97.7 53.3 57.0 67.3 50.5 80.2 64.0 19.8
Meghalaya 52.2 78.1 85.9 62.7 68.0 57.4 54.0 66.8 70.0 23.4
Mizoram 35.7 65.9 93.7 53.0 63.5 26.1 54.9 61.0 92.7 9.9
Nagaland 60.0 57.2 83.7 38.7 39.3 30.7 47.0 57.2 49.6 15.1
Sikkim 85.3 94.0 97.1 71.7 72.0 56.8 74.2 79.0 47.1 33.7
Tripura 40.8 86.2 94.1 52.5 74.9 87.5 70.3 89.9 71.7 24.2
West
Daman & Diu 68.8 98.6 91.8 52.3 41.3 36.6 37.0 46.9 26.9 18.7
Goa 76.3 98.1 97.6 92.7 73.7 92.4 40.6 93.3 58.5 36.1
Gujarat 80.6 93.5 90.3 54.0 18.5 13.8 16.5 20.2 29.4 21.4
Maharashtra 71.7 90.9 90.1 54.5 45.1 30.7 40.6 45.3 29.7 16.8
South
Andhra Pradesh 90.6 95.1 84.5 56.4 83.2 56.5 79.4 83.6 40.4 24.5
Karnataka 94.0 97.1 97.5 78.5 63.4 35.5 52.9 57.7 42.7 25.9
Kerala 80.1 90.0 62.4 76.0 64.2 88.3 48.0 90.5 51.9 15.6
Lakshadweep 65.7 88.4 44.6 68.7 78.3 97.1 73.8 98.7 68.7 45.4
Puducherry 87.0 85.8 85.9 66.3 81.8 82.2 63.7 87.4 44.9 10.3
Tamil Nadu 89.4 87.4 84.8 63.4 80.4 61.3 57.8 74.6 38.3 11.2
Telangana 86.2 91.8 80.0 50.8 76.6 18.6 70.0 72.4 26.9 10.8
440
Table 10.27.2 Men's food consumption by state/union territory
Percent distribution of men age 15-49 consuming specific foods at least once a week by state/union territory, India, 2019-21
Type of food
Milk Pulses Dark green, Fish,
or or leafy Chicken chicken Fried Aerated
State/union territory curd beans vegetables Fruits Eggs Fish or meat or meat foods drinks
India 79.8 93.2 92.4 56.1 57.8 45.8 46.9 57.3 45.1 25.1
North
Chandigarh 83.2 95.0 77.0 68.1 30.0 15.5 24.8 27.4 23.2 18.3
Delhi 94.0 98.5 96.8 88.4 67.9 25.8 37.8 41.8 44.4 22.7
Haryana 96.2 95.9 91.7 69.6 26.3 8.7 13.4 14.9 34.5 27.8
Jammu & Kashmir 91.5 87.6 86.4 71.6 52.4 21.1 52.8 57.0 32.6 31.8
Ladakh 92.7 86.9 89.1 73.3 51.9 13.1 51.0 55.3 25.9 28.9
Punjab 92.6 93.5 88.9 66.8 28.9 11.2 17.0 18.9 28.8 24.3
Rajasthan 91.2 91.3 89.5 47.3 20.7 7.8 13.4 14.1 35.3 20.1
Uttarakhand 80.8 97.6 96.6 61.0 44.5 18.1 24.3 28.3 42.3 11.8
Central
Chhattisgarh 45.8 86.5 93.5 42.1 41.9 36.9 34.0 40.2 37.2 20.3
Madhya Pradesh 73.9 93.6 92.5 46.6 32.2 20.7 21.6 25.3 40.5 16.0
Uttar Pradesh 77.7 93.5 91.7 46.4 39.4 25.0 26.6 30.2 45.0 20.7
East
Bihar 80.6 95.5 93.4 39.4 43.1 41.0 38.5 46.4 49.0 23.4
Jharkhand 61.0 91.2 92.3 39.4 52.2 41.5 39.7 49.2 42.7 13.9
Odisha 31.9 96.1 98.9 26.4 69.7 71.2 58.6 75.8 59.5 11.2
West Bengal 58.7 94.4 97.6 48.9 85.5 87.4 56.5 89.3 60.7 19.1
Northeast
Assam 65.4 95.9 90.7 62.8 77.6 83.1 66.6 86.4 80.0 30.9
Manipur 37.8 87.2 96.6 55.4 55.9 65.4 54.7 75.8 55.3 19.2
Meghalaya 56.7 75.3 86.8 59.3 67.4 63.8 62.9 73.0 58.2 28.2
Mizoram 40.8 69.4 90.2 63.2 78.2 54.4 72.6 78.0 92.7 10.6
Nagaland 66.8 72.2 88.6 48.4 59.8 57.2 67.7 72.5 45.3 23.3
Sikkim 90.9 96.2 98.1 79.9 76.3 63.1 69.4 76.8 45.4 30.6
Tripura 54.5 83.0 90.6 44.2 60.3 73.7 64.7 76.1 57.3 17.3
West
Daman & Diu 78.7 83.4 87.5 52.1 38.6 32.2 36.4 41.4 25.3 35.2
Goa 95.1 99.4 96.8 73.1 81.6 91.9 47.6 93.8 78.5 53.4
Gujarat 85.1 92.2 94.0 39.8 19.8 12.2 17.9 20.6 23.9 22.2
Maharashtra 81.9 89.0 91.9 62.2 57.6 43.3 53.8 59.3 37.6 25.6
South
Andhra Pradesh 95.1 96.3 91.1 68.1 88.1 53.0 75.2 80.0 54.9 42.7
Karnataka 94.9 97.5 94.5 77.9 66.3 41.6 53.7 60.1 40.0 31.8
Kerala 87.4 89.5 82.6 79.9 68.0 88.0 56.2 90.1 51.4 27.5
Lakshadweep 85.4 65.2 56.6 82.5 75.7 97.6 72.9 98.4 78.4 47.2
Puducherry 83.6 93.6 87.9 80.3 88.5 83.2 69.1 89.9 35.5 14.9
Tamil Nadu 92.4 97.3 92.3 68.5 84.7 62.5 67.0 77.0 40.0 20.3
Telangana 91.3 91.5 84.2 61.0 80.2 32.7 71.1 74.6 35.5 29.9
441
442
MORBIDITY AND HEALTH CARE 11
Key Findings
 Prevalence of tuberculosis: Based on reports from household

respondents, 222 persons per 100,000 have medically treated
tuberculosis. The prevalence of tuberculosis is higher among men
(283 per 100,000) than among women (162 per 100,000).
 Prevalence of goitre or any other thyroid disorder: Based on
self-reports, 3 percent of women age 15-49 have goitre or any
other thyroid disorder.
 Use of tobacco: Thirty-nine percent of men and 4 percent of
women age 15-49 use any form of tobacco.
 Use of alcohol: Twenty-two percent of men and 1 percent of
women age 15-49 drink alcohol.
 Coverage of health insurance or financing scheme: At least
one usual household member is covered under any health
insurance or financing scheme in over two-fifths (41%) of
households.
T
he health status of a population is reflected in the levels of morbidity and treatment seeking behaviour of its
members. With the ongoing demographic and epidemiological transition in India, non-communicable diseases
are now taking more of a toll on the health of the Indian population, while the problem of endemic and re-
emerging infectious diseases still persists. This chapter presents data on some common infectious and important
non-communicable diseases and their risk factors, health treatment seeking behaviour, tobacco and alcohol use, and
coverage of health insurance. Prevalence estimates for tuberculosis (TB), diabetes, asthma, goitre or any other thyroid
disorder, heart disease, and cancer are also provided.
11.1 TUBERCULOSIS
Tuberculosis has re-emerged as a major public health problem in many parts of the world, often as a concomitant
illness to HIV/AIDS. Tuberculosis, once known as the ‘White Plague’, is contagious and spreads through droplets that
can travel through the air when a person with the infection coughs, talks, or sneezes. In most developing countries, TB
will continue to be a serious health threat even in the absence of HIV/AIDS due to the public health challenges posed
by poor sanitation, poverty, and high illiteracy.
11.1.1 Prevalence of Tuberculosis
Based on reports from household respondents, 222 persons per 100,000 are estimated to have medically treated
tuberculosis. The prevalence of tuberculosis is higher among men (283 per 100,000) than among women (162 per
100,000). Ninety-seven percent of reported tuberculosis cases are medically treated (Table 11.1).
Trends: Between 2015-16 and 2019-21, the overall prevalence of medically treated tuberculosis decreased from 305
persons per 100,000 to 222 persons per 100,000, and the prevalence among men decreased from 389 persons per
100,000 to 283 persons per 100,000. The prevalence among women decreased from 220 persons per 100,000 to 162
persons per 100,000. The overall decrease in prevalence for men and women combined is evident in all age and
residence groups.
443
 Medically treated TB prevalence increases substantially with increasing age. The prevalence is more than twice as
high among persons age 60 and above (567 persons per 100,000) as among persons age 15-59 (237 persons per
100,000) and 17 times as high as among children below age 15 (33 persons per 100,000).
 Medically treated TB prevalence is somewhat higher in rural areas (242 persons per 100,000) than in urban areas
(179 persons per 100,000). Both sex and age differentials are more pronounced in rural areas than they are in urban
areas (Table 11.1).
 Medically treated TB prevalence increases with levels of crowding, from 220 persons per 100,000 in households
with fewer than three persons sleeping per room to 258 persons per 100,000 in households with seven or more
persons sleeping per room (Table 11.2).
 There is a great deal of variation in the prevalence of medically treated TB according to the type of cooking fuel
the household uses, ranging from a low of 179 persons per 100,000 usual residents in households using electricity,
liquid petroleum gas, natural gas, or biogas to a high of 490 persons per 100,000 in households using straw, shrubs,
or grass for cooking. High TB prevalence is also seen among households using other fuels not specified in the
table (316 persons per 100,000).
 Medically treated TB prevalence is higher in households cooking in the house without having a separate room for
cooking (291 persons per 100,000) than in households that cook in a separate room of the house (178 persons per
100,000) or in a separate building (258 persons per 100,000), but it is highest of all in households cooking in other
places not specified in the table (357 persons per 100,000).
 Among the states, the number of persons suffering from medically treated TB ranges from a low of 24 persons per
100,000 in Chandigarh to a high of 634 persons per 100,000 in Sikkim, 626 persons per 100,000 in Meghalaya,
624 persons per 100,000 in Mizoram, and 616 persons per 100,000 in Nagaland (Table 11.3). In addition to
Chandigarh, two states have prevalence below 120 persons per 100,000: Haryana (105 persons per 100,000) and
Chhattisgarh (112 persons per 100,000).
11.1.2 Knowledge and Attitudes toward Tuberculosis
Despite being a curable disease, TB can still be a stigmatizing illness, due mainly to people’s ignorance of its etiology
and transmission. Ninety-three percent of women age 15-49 and 91 percent of men age 15-49 have heard of TB (Table
11.4.1 and Table 11.4.2). In India, 70 percent of both women and men who have heard of TB correctly mentioned
coughing or sneezing as a mode of transmission for TB. However, more than three-fifths of the population that has
heard of TB have some misconceptions regarding its transmission. One in every six (16%) women and more than one
in every five (23%) men report they would want the TB positive status of a family member to remain a secret. Ninety
percent of women and 92 percent of men who have heard of TB believe that it can be cured.
Trends: The proportion of women who have heard of TB has slightly increased from 87 percent in 2015-16 to 93
percent in 2019-21, while that in men has increased from 88 percent to 91 percent. The proportion of women who
report that TB is spread through the air by coughing and sneezing has remained almost the same (from 69% in 2015-
16 to 70% in 2019-21), whereas the proportion decreased slightly for men from 72% in 2015-16 to 70% in 2019-21).
In the same period, the knowledge that TB can be cured increased slightly from 89 percent to 90 percent among women
and from 91 percent to 92 percent among men.
 The proportion of women who have heard of TB generally increases steadily with increases in schooling and the
wealth index, from about 9 in 10 women in the lowest schooling and wealth categories to 97 percent in the highest
schooling and wealth categories. The same pattern by schooling and the wealth index exists for men (Table 11.4.1
and Table 11.4.2).
 Knowledge of TB transmission and knowledge that TB can be cured increases among women and men with
increases in schooling and the wealth index.
444
 The percentage with misconceptions about the transmission of TB ranges from 43-68 percent of women and 35-
66 percent of men in all subgroups of background characteristics.
11.2 HEALTH PROBLEMS

All interviewed women and men were asked whether they have diabetes, asthma, goitre or any other thyroid disorder,
any heart disease, or cancer. Table 11.5.1 and Table 11.5.2 show the number of women and men age 15-49 per 100,000
who have any of these diseases by background characteristics.
The prevalence of diabetes, as reported by respondents, is 2 percent among both men and women age 15-49 years. The
prevalence of asthma is 2 percent among women and 1 percent among men age 15-49 years. Similarly, goitre or any
other thyroid disorder is more prevalent among women (3%) than men (0.5%). One percent of both women and men
age 15-49 have any heart disease and less than 1 percent have cancer.
Trends: The prevalence of diabetes has remained unchanged among both women and men since 2015-16 (2% in 2015-
16 and 2019-21). The prevalence of goitre or any other thyroid disorder among women increased slightly from 2
percent in 2015-16 to 3 percent in 2019-21, whereas the prevalence of asthma among both sexes and goitre or any
other thyroid disorder among men remained almost unchanged.
 Although the above-mentioned diseases affect all age groups and are present across all groups of background
characteristics, their prevalence increases with age.
 The prevalence of diabetes among women and men in the highest wealth quintile (3%) is higher than the prevalence
among women and men in the lowest wealth quintile (1%). The prevalence of diabetes is also higher in urban areas
than rural areas.
 The prevalence of diabetes is highest in the southern states, whereas that of goitre or any other thyroid disorder
among women is relatively high in most of the northern and southern states.
11.3 USE OF TOBACCO

Tobacco use is associated with a wide range of diseases, including several types of cancers and heart and lung diseases,
diabetes, eye disease, and rheumatoid arthritis. Studies have shown that in addition to sharing the same health risks as
men, women who use tobacco experience difficulty in becoming pregnant and are at an increased risk of infertility,
pregnancy complications, premature births, low birth-weight infants, stillbirths, miscarriages, and infant deaths
11.3.1 Consumption of Tobacco
Thirty-nine percent of men and 4 percent of women age 15-49 use some form of tobacco. The most common form of
tobacco consumption among men is chewing paan masala or gutkha (15%), followed closely by smoking cigarettes
(13%), using khaini (12%), and smoking bidis (7%). Among men who smoke cigarettes or bidis, 46 percent smoke 5
or more cigarettes or bidis each day on average. Among women, the most common form of tobacco used is chewing
paan masala or gutkha, chewing paan with tobacco, and using khaini (1%) (Table 11.7).
445
Figure 11.1 Tobacco Use by Sex and Residence
43
39
32
2.5 4.9 4.1
Women Men
Urban Rural Total
Trends: Use of any kind of tobacco decreased from 45 percent and 7 percent among men and women in 2015-16 to
39 percent and 4 percent among men and women, respectively, in 2019-21.
 Among men as well as women, the use of any form of tobacco is higher in rural areas than in urban areas (Figure
11.1). Among men, in urban areas cigarettes are more popular than any other form of tobacco (Table 11.8).
 More than six in 10 men and about one-tenth of women with no schooling or less than 5 years of schooling use
some form of tobacco. Tobacco use shows a substantial decrease with increasing levels of education among both
men and women. However, almost one-fourth (24%) of men with 12 or more years of schooling use tobacco.
 There is an equally clear and continual decrease in tobacco use with increasing wealth quintiles. More than two
in 10 (22%) men in the highest wealth quintile use tobacco, in comparison with 59 percent of men in the lowest
wealth quintile. Nine percent of women in the lowest wealth quintile use tobacco.
 Women (11%) and men (52%) from scheduled tribes are more likely to use tobacco than those from any other
caste/tribe group.
11.3.2 Quitting Tobacco
The 2019-21 NFHS collected data on attempts to quit smoking or stop tobacco use in the 12 months preceding the
survey by women and men age 15-49 who were using any kind of tobacco. Tobacco users who visited a doctor or other
health care provider in the past 12 months were also asked whether they had received any advice to quit smoking or
using tobacco in any form during the visits. All women and men age 15-49 were asked whether they were present when
someone smoked in their home or elsewhere in the 30 days preceding the survey.
About 3 in 10 men and women who are tobacco users said they tried to stop smoking or using tobacco in any form in
the 12 months preceding the survey. More than two-fifths (61%) of female and more than half (54%) of male tobacco
users who visited a doctor or other health care provider in the 12 months preceding the survey were advised to stop
smoking or using tobacco in any form. Nearly half (48%) of women and more than three-fifths (62%) of men were
present when someone other than the respondent was smoking in their home or elsewhere in the 30 days preceding the
survey (Table 11.9).
446
11.4 ALCOHOL USE, HEALTH INSURANCE, AND SOURCES OF HEALTH CARE
Information on alcohol use, health insurance coverage, and sources of health care among women and men are presented
in this section. The reasons for not utilizing a government health facility, recent contacts with health personnel, matters
discussed during contacts with health personnel, and problems in accessing health care are also discussed.
11.4.1 Use of Alcohol
Only 1 percent of women drink alcohol, compared with 22 percent of men. Among women who drink alcohol, 17
percent drink alcohol almost every day and 37 percent drink alcohol about once a week (Table 11.11.1). Among men
who drink alcohol, 15 percent drink alcohol almost every day, 43 percent drink alcohol about once a week, and 42
percent drink less than once a week (Table 11.11.2). The percentage of women age 15-49 who drink alcohol is by far
the highest among women in Arunachal Pradesh (18%) and Sikkim (15%). Alcohol use among men is highest in Goa
(59%), Arunachal Pradesh (57%), and Telangana (50%) and is the lowest in Lakshadweep (1%) (Table 11.12).
Trends: The proportion of men who drink alcohol decreased, from 29 percent to 22 percent, between NFHS-4 in 2015-
16 and NFHS-5 in 2019-21. During that period, the proportion of women who drink remained unchanged.
 Drinking alcohol is more common among women from scheduled tribes (4%) than from any other caste/tribe
group. Drinking is most common among Christian men (36%) and men belonging to “other" religions (49%), men
with less than 5 years of schooling (33%), men from scheduled tribes (34%), and men age 35-49 (30%).
11.5 HEALTH INSURANCE COVERAGE

Health insurance coverage in India is far from satisfactory. Over two-fifths (41%) of households have at least one usual
member covered under health insurance or financing scheme (Table 11.13). Only 30 percent of women age 15-49 and
33 percent of men age 15-49 are covered by health insurance or financing scheme. Almost half (46%) of those with
insurance are covered by a state health insurance scheme and about one-sixth (16%) are covered by Rashtriya Swasthya
Bima Yojana (RSBY). Three to six percent of women and 4-7 percent of men are covered by the Employee State
Insurance Scheme (ESIS) or the Central Government Health Scheme (CGHS). The highest proportion of households
covered under health insurance or financing scheme is found in Rajasthan (88%) and Andhra Pradesh (80%), and the
lowest coverage (less than 15%) is in the Andaman & Nicobar Islands and Jammu & Kashmir (Figure 11.2).
Trends: The percentage of households in which at least one usual member is covered by health insurance or financing
scheme increased from 29 percent to 41 percent between NFHS-4 and NFHS-5.
 The percentage of households in which at least one usual member is covered by health insurance or financing
scheme is highest in households with a Christian head of household (55%). The insurance coverage is slightly
higher in rural areas (42%) than in urban areas (38%). Coverage is low among households whose head is a Sikh
and households in the lowest wealth quintile.
447
Figure 11.2 Health Insurance Coverage of
Households by State/UT
Percentage of households with at least one member covered by a
health scheme or health insurance
Rajasthan 88
Andhra Pradesh 80
Goa 73
Chhattisgarh 71
Telangana 69
Meghalaya 69
Lakshadweep 68
Assam 67
Tamil Nadu 67
Uttarakhand 63
Kerala 58
Mizoram 50
Jharkhand 50
Odisha 48
Gujarat 44
INDIA 41
Himachal Pradesh 39
Madhya Pradesh 38
Tripura 36
West Bengal 34
Chandigarh 32
Karnataka 32
Puducherry 30
Sikkim 28
Haryana 26
Punjab 25
Delhi 25
Maharashtra 22
Nagaland 22
Bihar 17
Ladakh 17
Manipur 16
Uttar Pradesh 16
Jammu & Kashmir 14
11.6 SOURCES OF HEALTH CARE
When household members get sick, they are slightly more likely to seek care in the public sector (50%) than the private
sector (48%). Government and municipal hospitals are the most important source of health care in the public sector,
providing services to 20 percent of households when household members get sick. In the private sector, private doctors
and clinics are most frequently visited.
Trend: The percentage of households that use the public sector for health care increased from 45 percent in 2015-16
to 50 percent in 2019-21.
 The public health sector is the primary source of health care in rural areas (52%) and urban areas (47%). The
private health sector is the main source of health care for 52 percent of households in urban areas and 46 percent
of households in rural areas (Table 11.16).
448
11.7 REASONS FOR NOT USING GOVERNMENT HEALTH CARE
Half (50%) of households in India do not generally seek health care from the public sector. The percentage of
households that do not generally use government health facilities is highest in Bihar (80%) and Uttar Pradesh (75%),
and lowest (less than 5%) in Ladakh, Lakshadweep, and the Andaman & Nicobar Islands (Table 11.17). The most
commonly reported reason for not using government health facilities at the national level is the poor quality of care
(reported by 48% of households that do not generally use government facilities). The second most commonly reported
reason is that the long waiting time at government facilities (46%), followed by the fact that there is no government
facility nearby (40% of households).
11.8 RECENT CONTACT WITH HEALTH WORKERS

Table 11.18 shows the percentage of women who had contact with a health worker in the three months preceding the
survey by type of health worker. Women are more likely to have contacts with an ASHA (23%), an auxiliary nurse
midwife (ANM) or a lady health visitor (LHV) (19%), or an anganwadi worker (AWW) (15%) than any other type of
health worker. Among women who met with a health worker in the past three months, 73 percent met with a health
worker at home, 68 percent met with a health worker at an anganwadi centre, and 39 percent met with a health worker
at a health facility or camp.
Among ever-married women who had at least one contact with a health worker in the past three months, the majority
discussed immunizations. Other common topics were treatment for a sick child, medical treatment for themselves,
supplementary food, family planning, antenatal care, delivery care, and growth monitoring of a child. Never married
women mostly discussed medical treatment for themselves, treatment for another person, menstrual hygiene, nutrition
and health education, and disease prevention.
Trend: The percentage of women who contacted an ASHA doubled from 11 percent to 23 percent, an ANM/LHV
increased from 14 percent to 19 percent, and an anganwadi worker (AWW) increased slightly from 14 percent to 15
percent from NFHS-4 to NFHS-5. Thirty-two percent of women had contact with any health worker in NFHS-5,
compared with only 24 percent in NFHS-4.
 Recent contact with any health worker is more common for rural women (35%) than urban women (26%). Contact
with any health worker is more common for currently married women (37%) than women who are widowed,
divorced, separated, or deserted (24%) and never married women (17%).
11.9 PROBLEMS IN ACCESSING HEALTH CARE

NFHS-5 asked women age 15-49 about potential problems in obtaining medical treatment for themselves when they
are sick. Three-fifths of women report at least one problem for themselves in obtaining medical care (Table 11.21).
Over one-fifth (21%) of women cite money as a problem. Twenty-three percent of women cite the distance to a health
facility and 22 percent cite having to take transport as a problem. Thirty-one percent of women report concerns that no
female health provider is available. Thirty-nine percent of women report a concern that no provider is available and 40
percent that no drugs are available.
449
LIST OF TABLES
For more information on morbidity, use of tobacco and alcohol, and health care, see the following tables:
Tables
Table 11.1 Prevalence of tuberculosis
Prevalence of tuberculosis by persons per sleeping room and
Table 11.2
cooking fuel/cooking arrangements
Table 11.3 Prevalence of tuberculosis by state/union territory
Table 11.4.1 Knowledge and attitudes toward tuberculosis: Women
Table 11.4.2 Knowledge and attitudes toward tuberculosis: Men
Table 11.5.1 Self-reported health problems: Women
Table 11.5.2 Self-reported health problems: Men
Table 11.6 Self-reported health problems by state/union territory
Table 11.7 Tobacco use by women and men
Table 11.8 Use of tobacco by background characteristics
Table 11.9 Quitting tobacco use and advice by a health care provider
Table 11.10 Quitting tobacco use and advice by a health care provider by state/union territory
Table 11.11.1 Use of alcohol: Women
Table 11.11.2 Use of alcohol: Men
Table 11.12 Use of alcohol by state/union territory
Table 11.13 Health insurance/financing scheme coverage
Table 11.14.1 Health insurance/financing scheme coverage: Women
Table 11.14.2 Health insurance/financing scheme coverage: Men
Health insurance/financing scheme coverage among women and men
Table 11.15
by state/union territory
Table 11.16 Source of health care
Table 11.17 Reasons for not using a government health facility by state/union territory
Table 11.18 Recent contacts with health workers
Table 11.19 Matters discussed during contacts with a health worker
Contacts with health workers and visits to a health facility or camp
Table 11.20
Table 11.21 Problems in accessing health care
450
Table 11.1 Prevalence of tuberculosis
Number of persons per 100,000 usual household residents suffering from any
tuberculosis and medically treated tuberculosis by age and sex, according to
Number of persons per 100,000

suffering from:
Medically treated Number of
Age and sex Tuberculosis1 tuberculosis2 usual residents
URBAN
Age
<15 37 35 203,462
15-59 196 191 577,911
60 and over 401 393 102,710
Sex
Women 146 143 437,059
Men 220 214 446,956
Total 183 179 884,083
RURAL
Age
<15 33 32 528,982
15-59 268 260 1,141,500
60 and over 671 646 226,160
Sex
Women 176 170 960,031
Men 327 316 936,525
Total 250 242 1,896,641
TOTAL
Age
<15 34 33 732,443
15-59 244 237 1,719,411
60 and over 586 567 328,870
Sex
Women 166 162 1,397,090
Men 292 283 1,383,481
Total 229 222 2,780,724

1 Includes medically treated tuberculosis
2
Suffering from tuberculosis and received medical treatment
451
Table 11.2 Prevalence of tuberculosis by persons per sleeping room and cooking fuel/cooking
arrangements
Number of persons per 100,000 usual household residents suffering from any tuberculosis and
medically treated tuberculosis by persons per sleeping room and cooking fuel/cooking
arrangements, India, 2019-21

suffering from:
Persons per sleeping room and Medically treated Number of
cooking fuel/cooking arrangements Tuberculosis1 tuberculosis2 usual residents
Persons per room used

for sleeping
<3 225 220 1,431,830
3-4 222 215 901,980
5-6 250 240 328,846
7 or more 270 258 118,068
Cooking fuel
Electricity or gas3 184 179 1,562,328
Kerosene 186 178 10,356
Coal/lignite/charcoal 340 317 43,777
Wood 269 261 928,472
Straw/shrubs/grass 517 490 38,586
Agricultural crop residue 403 380 59,192
Dung cakes 283 278 132,837
Other 316 316 5,177
Place for cooking

In the house, separate room 182 178 1,573,248
In the house, no separate room 304 291 661,564
In a separate building 265 258 330,319
Outdoors 285 277 210,847
Other 357 357 4,746
Type of fire/stove among households

using solid fuels4 or kerosene
Stove 306 291 11,479
Open fire/chullah 287 277 1,201,434
Other 90 90 308
Total 229 222 2,780,724

1 Includes medically treated tuberculosis
2 Suffering from tuberculosis and received medical treatment
3 Includes LPG, natural gas, and biogas
4 Includes coal, lignite, charcoal, wood straw/shrubs/grass, agricultural crop waste, and dung cakes
452
Table 11.3 Prevalence of tuberculosis by state/union territory
Number of persons per 100,000 usual household residents suffering
from any tuberculosis and medically treated tuberculosis, by state/
union territory, India, 2019-21

suffering from:
Medically treated
State/union territory Tuberculosis1 tuberculosis2
India 229 222
North
Chandigarh 24 24
Delhi 150 143
Haryana 109 105
Himachal Pradesh 210 207
Jammu & Kashmir 173 173
Ladakh 306 306
Punjab 134 128
Rajasthan 215 209
Uttarakhand 134 123
Central
Chhattisgarh 113 112
Madhya Pradesh 121 120
Uttar Pradesh 219 209
East
Bihar 450 436
Jharkhand 230 216
Odisha 242 235
West Bengal 239 233
Northeast
Arunachal Pradesh 495 477
Assam 311 298
Manipur 427 425
Meghalaya 630 626
Mizoram 638 624
Nagaland 675 616
Sikkim 634 634
Tripura 352 346
West
Daman & Diu 123 123
Goa 329 329
Gujarat 215 211
Maharashtra 136 131
South
Andaman & Nicobar Islands 221 196
Andhra Pradesh 239 239
Karnataka 191 184
Kerala 463 453
Lakshadweep 157 157
Puducherry 292 292
Tamil Nadu 187 183
Telangana 242 234
1
Includes medically treated tuberculosis
2
Suffering from tuberculosis and received medical treatment
453
Table 11.4.1 Knowledge and attitude toward tuberculosis: Women
Percentage of women age 15-49 who have heard of tuberculosis (TB), and among women who have heard of TB, percentage with
specific knowledge and beliefs, according to background characteristics, India, 2019-21
Among women who have heard of TB, percentage who:

Report that Would want
TB is spread Have a family
Percentage through misconceptions member's TB Number
who have the air by about Believe that kept secret of women
heard Number of coughing transmission TB can be from the who have
Background characteristic of TB women or sneezing of TB1 cured neighbours heard of TB
Age
15-19 93.5 122,544 68.9 66.5 88.7 15.0 114,547
20-34 93.8 336,968 70.8 65.3 90.7 15.3 316,160
35-49 92.7 264,603 69.1 62.4 90.3 16.3 245,345
Residence
Urban 95.4 235,279 77.3 63.8 92.0 16.1 224,476
Rural 92.4 488,836 66.1 64.8 89.3 15.3 451,576
Schooling
No schooling 88.8 163,492 58.5 63.6 87.7 15.9 145,133
<5 years complete 90.7 37,549 59.3 58.6 86.2 15.3 34,041
5-7 years complete 92.1 96,806 65.1 62.2 88.4 16.3 89,166
8-9 years complete 94.3 129,094 68.1 64.3 89.9 13.6 121,687
10-11 years complete 95.0 109,777 74.9 64.4 90.8 17.1 104,305
12 or more years
complete 97.0 187,396 81.4 67.5 93.7 15.5 181,720
Religion
Hindu 93.6 589,164 70.2 65.1 90.3 15.9 551,175
Muslim 92.5 97,595 65.4 64.3 89.9 13.7 90,251
Christian 93.0 16,995 78.8 48.6 87.3 17.8 15,801
Sikh 93.4 11,404 71.0 66.9 93.5 9.9 10,656
Buddhist/Neo-Buddhist 90.3 4,571 78.1 45.3 91.7 25.7 4,130
Jain 96.0 1,632 83.8 45.3 95.3 19.9 1,566
Other 89.8 2,754 57.0 56.4 89.4 10.4 2,473
Caste/tribe
Scheduled caste 93.6 158,483 68.2 66.2 89.9 16.2 148,286
Scheduled tribe 90.5 67,263 65.8 59.7 88.5 15.4 60,865
Other backward class 93.8 310,783 71.3 65.3 90.0 17.2 291,384
Other 93.8 182,474 70.9 63.8 91.8 12.4 171,087
Don't know 86.7 5,112 45.1 42.9 79.7 14.9 4,431
Wealth index
Lowest 90.6 133,973 54.6 63.3 87.3 11.1 121,330
Second 91.8 144,813 63.6 65.2 88.9 15.2 132,917
Middle 92.8 148,616 70.9 64.1 89.2 18.1 137,954
Fourth 94.7 150,680 76.3 63.6 91.1 18.1 142,624
Highest 96.7 146,032 81.3 66.1 94.1 14.7 141,228
Total 93.4 724,115 69.8 64.5 90.2 15.6 676,052

1
Misconceptions about the transmission of TB include that it can be spread by sharing utensils, by touching a person with TB, through food, through
sexual contact, through mosquito bites, or through any other means except through the air when coughing or sneezing
454
Table 11.4.2 Knowledge and attitude toward tuberculosis: Men
Percentage of men age 15-49 who have heard of tuberculosis (TB), and among men who have heard of TB, percentage with specific
knowledge and beliefs, according to background characteristics, India, 2019-21
Among men who have heard of TB, percentage who:

Report that Would want
TB is spread Have a family
through misconceptions member's TB Number
Percentage the air by about Believe that kept secret of men
who have Number coughing or transmission TB can be from the who have
Background characteristic heard of TB of men sneezing of TB1 cured neighbours heard of TB
Age
15-19 89.5 16,385 69.5 60.2 88.8 23.4 14,662
20-34 91.9 41,688 71.3 62.6 92.6 22.2 38,292
35-49 91.3 35,071 69.8 61.2 92.3 23.4 32,007
Residence
Urban 92.0 32,852 75.4 60.4 93.2 24.6 30,235
Rural 90.8 60,291 67.6 62.4 91.0 21.9 54,727
Schooling
No schooling 85.0 9,982 59.6 60.0 87.5 24.1 8,483
<5 years complete 88.3 5,842 59.4 58.4 88.2 18.7 5,157
5-7 years complete 88.9 12,082 63.4 61.9 91.0 23.2 10,735
8-9 years complete 91.6 18,472 68.0 60.6 91.2 20.7 16,911
10-11 years complete 91.4 16,735 74.3 60.5 92.3 26.3 15,289
12 or more years complete 94.5 30,032 77.6 64.0 94.2 22.5 28,386
Religion
Hindu 91.9 73,632 70.8 62.7 92.1 23.4 67,645
Muslim 87.9 14,633 66.1 60.8 90.9 19.6 12,861
Christian 91.9 2,426 74.6 42.2 88.0 24.5 2,229
Sikh 91.2 886 71.9 65.5 92.2 11.6 808
Buddhist/Neo-Buddhist 87.9 1,017 81.0 47.5 94.1 36.5 894
Jain 95.8 280 86.5 53.6 94.1 14.0 269
Other 94.9 269 78.6 51.5 93.2 16.9 256
Caste/tribe
Scheduled caste 92.2 18,977 68.3 63.1 92.0 22.8 17,497
Scheduled tribe 90.1 8,441 67.6 57.2 90.7 21.5 7,606
Other 90.7 26,244 70.9 60.6 92.2 20.2 23,807
Don't know 83.2 496 60.0 35.4 87.5 11.1 413
Wealth index
Lowest 89.4 15,606 57.2 64.2 90.3 14.5 13,959
Second 89.8 18,497 67.3 63.6 90.9 20.1 16,607
Middle 90.6 19,829 70.3 60.1 91.5 26.5 17,971
Fourth 92.1 20,658 75.8 59.5 92.1 27.2 19,019
Highest 93.8 18,553 78.1 62.0 94.0 23.6 17,405
Total age 15-49 91.2 93,144 70.4 61.7 91.8 22.8 84,962
Age 50-54 90.6 8,695 71.7 60.0 92.4 23.7 7,878
Total age 15-54 91.2 101,839 70.5 61.5 91.9 22.9 92,839
1
Misconceptions about the transmission of TB include that it can be spread by sharing utensils, by touching a person with TB, through food, through
sexual contact, through mosquito bites, or through any other means except through the air when coughing or sneezing
455
Table 11.5.1 Self-reported health problems: Women
Percentage of women age 15-49 who reported that they have diabetes, asthma, goitre or any other thyroid disorder, any heart disease, or cancer and whether they have sought treatment for each
reported health problem, by background characteristics, India, 2019-21
Goitre or any other

Diabetes Asthma thyroid disorder Any heart disease Cancer
Percentage Percentage with Percentage with Percentage
with diabetes Percentage with Percentage goitre/ thyroid heart disease with cancer
who have asthma who with goitre/ disorder who Percentage who have who have
Percentage sought Percentage have sought thyroid have sought with heart sought Percentage sought Number of
Background characteristic with diabetes treatment with asthma treatment disorders treatment disease treatment with cancer treatment women
Age
15-19 0.4 52.0 0.8 61.6 0.6 79.5 0.3 69.8 0.1 70.9 122,544
20-34 0.8 66.5 1.2 66.5 2.3 88.6 0.5 72.4 0.1 74.6 336,968
35-49 3.9 85.8 2.5 72.9 4.1 90.6 1.2 77.5 0.2 88.0 264,603
Residence
Urban 2.6 85.1 1.6 74.2 4.2 91.7 0.7 76.9 0.1 87.8 235,279
Rural 1.5 77.1 1.6 67.4 2.0 87.1 0.7 74.5 0.1 78.7 488,836
456
Schooling
No schooling 2.1 79.8 1.8 67.1 1.7 84.3 1.0 75.4 0.2 82.9 163,492
<5 years complete 2.7 83.0 2.6 67.5 2.6 84.1 1.2 76.9 0.1 74.0 37,549
5-7 years complete 2.3 81.8 1.9 69.4 2.7 88.7 0.9 76.5 0.1 77.4 96,806
8-9 years complete 1.7 79.9 1.5 66.3 2.4 89.1 0.7 72.7 0.1 75.9 129,094
10-11 years complete 1.8 82.8 1.4 73.4 3.1 89.9 0.6 71.4 0.1 86.4 109,777
Marital status
Never married 0.4 60.4 0.9 65.8 0.9 84.3 0.3 72.6 0.1 77.2 172,075
Widowed/divorced/
separated/deserted 3.8 83.3 2.7 67.2 3.3 89.6 1.5 73.0 0.2 79.1 30,688
Continued…
Table 11.5.1 Self-reported health problems: Women—Continued
Percentage of women age 15-49 who reported that they have diabetes, asthma, goitre or any other thyroid disorder, any heart disease, or cancer and whether they have sought treatment for each
reported health problem, by background characteristics, India, 2019-21
Goitre or any other

Percentage Percentage with Percentage with Percentage
with diabetes Percentage with Percentage goitre/ thyroid heart disease with cancer
who have asthma who with goitre/ disorder who Percentage who have who have
Percentage sought Percentage have sought thyroid have sought with heart sought Percentage sought Number of
Background characteristic with diabetes treatment with asthma treatment disorders treatment disease treatment with cancer treatment women
Religion
Hindu 1.8 80.0 1.5 70.0 2.6 89.6 0.7 74.8 0.1 82.1 589,164
Muslim 2.3 81.8 1.9 70.1 3.0 89.0 1.0 78.9 0.1 76.4 97,595
Christian 2.8 89.6 2.5 72.4 4.3 90.7 0.9 76.3 0.1 89.5 16,995
Sikh 2.3 86.1 1.4 61.4 3.3 81.7 1.0 58.2 0.1 84.9 11,404
Jain 1.7 89.5 2.6 68.4 4.4 96.0 0.3 100.0 0.0 100.0 1,632
Other 1.0 62.5 1.1 66.9 1.1 95.4 0.6 72.8 0.1 96.4 2,754
457
Caste/tribe
Scheduled caste 1.8 79.8 1.6 65.0 2.5 88.4 0.7 75.6 0.1 76.0 158,483
Scheduled tribe 1.0 69.6 1.2 63.0 1.0 85.2 0.5 71.5 0.1 86.6 67,263
Other 2.4 83.1 2.0 72.8 3.9 90.6 0.9 76.9 0.1 78.2 182,474
Don't know 2.2 87.4 2.2 61.7 2.1 73.6 0.8 74.6 0.1 76.2 5,112
Wealth index
Lowest 1.1 68.1 1.6 61.6 1.1 75.7 0.8 69.9 0.1 75.0 133,973
Second 1.3 72.2 1.6 66.2 1.5 84.1 0.9 75.2 0.1 77.2 144,813
Middle 1.8 79.1 1.8 70.7 2.5 89.5 0.7 73.1 0.1 82.6 148,616
Fourth 2.4 84.6 1.7 73.3 3.4 91.0 0.7 77.4 0.1 85.4 150,680
Highest 2.7 87.2 1.4 76.4 4.7 92.8 0.5 82.4 0.1 88.3 146,032
Total 1.9 80.7 1.6 69.7 2.7 89.4 0.7 75.2 0.1 81.4 724,115
Table 11.5.2 Self-reported health problems: Men
Percentage of men age 15-49 who reported that they have diabetes, asthma, goitre or any other thyroid disorder, any heart disease, or cancer and whether they have sought treatment for each reported
health problem, by background characteristics, India, 2019-21
Goitre or any other

Percentage with Percentage with Percentage Percentage with Percentage with Percentage with
Percentage diabetes who Percentage asthma who with goitre/ goitre/thyroid Percentage heart disease cancer who
with have sought with have sought thyroid disorder who have with heart who have sought Percentage have sought Number
Background characteristic diabetes treatment asthma treatment disorders sought treatment disease treatment with cancer treatment of men
Age
15-19 0.5 55.9 0.6 79.2 0.3 69.7 0.3 58.0 0.1 94.9 16,385
20-34 1.1 63.8 0.9 65.9 0.4 75.4 0.7 66.9 0.2 83.8 41,688
35-49 3.9 75.1 1.8 61.5 0.7 79.3 1.4 78.5 0.2 80.1 35,071
Residence
Urban 2.5 75.4 1.0 72.9 0.5 78.4 0.7 82.0 0.2 92.0 32,852
Rural 1.8 68.6 1.3 60.9 0.5 75.7 1.0 69.7 0.2 77.6 60,291
Schooling
458
No schooling 2.1 67.7 2.0 64.3 0.7 63.9 1.5 73.0 0.2 82.9 9,982
<5 years complete 2.1 68.2 2.4 56.7 1.1 82.7 2.1 55.6 0.1 60.3 5,842
5-7 years complete 2.1 69.9 1.4 66.4 0.5 77.0 0.9 77.7 0.2 58.3 12,082
8-9 years complete 1.8 60.3 1.2 58.5 0.4 69.4 1.0 64.0 0.3 90.6 18,472
10-11 years complete 2.2 78.4 1.0 67.3 0.4 79.7 0.6 77.7 0.1 71.5 16,735
Marital status
Never married 0.8 49.7 0.8 72.2 0.4 70.1 0.5 69.4 0.1 87.0 36,503
Widowed/divorced/
separated/deserted 3.0 72.2 1.4 58.4 0.2 16.4 0.8 97.6 0.0 100.0 1,165
Continued…
Table 11.5.2 Self-reported health problems: Men—Continued
Percentage of men age 15-49 who reported that they have diabetes, asthma, goitre or any other thyroid disorder, any heart disease, or cancer and whether they have sought treatment for each reported
health problem, by background characteristics, India, 2019-21
Goitre or any other

Percentage with Percentage with Percentage Percentage with Percentage with Percentage with
Percentage diabetes who Percentage asthma who with goitre/ goitre/thyroid Percentage heart disease cancer who
with have sought with have sought thyroid disorder who have with heart who have sought Percentage have sought Number
Background characteristic diabetes treatment asthma treatment disorders sought treatment disease treatment with cancer treatment of men
Religion
Hindu 2.2 71.1 1.2 63.3 0.5 74.1 0.8 76.4 0.2 79.1 73,632
Muslim 1.4 70.5 1.0 70.9 0.7 84.8 1.3 63.5 0.3 94.6 14,633
Christian 1.8 62.5 1.7 75.5 0.2 68.1 0.5 74.0 0.0 31.7 2,426
Sikh 4.1 83.8 0.7 41.1 0.3 83.6 0.4 100.0 0.1 100.0 886
Jain 2.7 100.0 0.0 nc 0.0 nc 0.0 nc 0.0 nc 280
Other 9.4 96.3 1.3 78.9 0.4 77.1 1.3 67.0 0.0 0.0 269
Caste/tribe
459
Scheduled caste 1.7 77.1 1.1 62.2 0.5 76.9 0.9 82.3 0.1 80.4 18,977
Scheduled tribe 1.7 64.3 1.5 60.5 0.6 64.0 1.0 60.7 0.2 90.5 8,441
Other 2.5 75.7 1.4 63.0 0.7 81.3 1.1 69.9 0.2 92.4 26,244
Don't know 5.4 55.2 3.9 100.0 0.2 0.0 3.4 96.3 0.0 nc 496
Wealth index
Lowest 1.1 61.4 1.5 55.0 0.5 75.9 1.3 69.9 0.1 74.6 15,606
Second 1.5 60.7 1.5 58.3 0.6 72.3 1.3 60.8 0.2 80.5 18,497
Middle 2.0 69.2 1.3 77.6 0.6 65.4 0.8 74.7 0.2 68.8 19,829
Fourth 2.4 72.5 1.0 58.5 0.5 87.2 0.7 83.6 0.2 93.9 20,658
Highest 3.1 80.3 0.8 77.4 0.3 87.6 0.6 89.4 0.1 98.2 18,553
Total age 15-49 2.1 71.5 1.2 64.6 0.5 76.7 0.9 73.2 0.2 82.8 93,144
Age 50-54 9.5 80.3 3.3 67.4 0.8 83.8 2.6 90.0 0.4 90.1 8,695
Total age 15-54 2.7 74.1 1.4 65.2 0.5 77.6 1.0 76.8 0.2 84.0 101,839
nc = No cases
Table 11.6 Self-reported health problems by state/union territory
Percentage of women and men age 15-49 who reported that they have diabetes, asthma, goitre or any other thyroid disorder, any heart
disease, or cancer, by state/union territory, India, 2019-21
Percentage of women who have: Percentage of men who have:

Goitre or Goitre or
other other
thyroid Any heart thyroid Any heart
State/union territory Diabetes Asthma disorder disease Cancer Diabetes Asthma disorder disease Cancer
India 1.9 1.6 2.7 0.7 0.1 2.1 1.2 0.5 0.9 0.2
North
Chandigarh 3.6 1.2 6.8 0.6 0.0 2.5 0.0 0.0 0.0 0.0
Delhi 2.3 1.3 5.9 0.7 0.1 4.2 0.5 0.1 0.4 0.1
Haryana 1.8 1.2 2.7 0.5 0.2 1.3 0.5 0.4 0.3 0.2
Jammu & Kashmir 2.9 0.4 6.8 2.3 0.1 2.1 0.5 0.8 1.4 0.1
Ladakh 3.9 0.9 4.9 3.7 0.3 6.1 0.0 0.8 0.7 0.3
Punjab 2.2 1.3 3.4 0.9 0.1 1.4 0.8 0.3 0.5 0.1
Rajasthan 1.1 1.3 1.3 0.4 0.1 0.9 0.9 0.4 0.7 0.2
Uttarakhand 1.4 0.9 2.4 0.5 0.1 1.7 0.7 0.4 0.2 0.0
Central
Chhattisgarh 0.9 0.6 0.9 0.3 0.2 1.3 0.5 0.2 0.4 0.2
Madhya Pradesh 1.0 1.1 1.1 0.6 0.1 1.2 0.7 0.3 0.4 0.1
Uttar Pradesh 1.3 0.7 1.3 0.5 0.1 1.5 0.7 0.2 0.4 0.1
East
Bihar 1.4 1.3 1.7 1.2 0.1 1.2 0.6 0.3 1.0 0.1
Jharkhand 1.0 0.8 1.7 0.5 0.3 1.4 0.6 0.6 0.2 0.0
Odisha 2.2 2.0 2.8 0.5 0.1 2.7 0.8 0.7 1.1 0.3
West Bengal 3.0 4.4 5.3 1.5 0.1 2.3 2.3 1.4 2.0 0.3
Northeast
Assam 2.1 1.6 2.6 1.2 0.1 1.6 0.5 0.4 0.6 0.1
Manipur 1.1 1.4 3.0 1.2 0.1 1.0 2.2 0.6 1.7 0.2
Meghalaya 1.9 2.6 2.0 1.0 0.1 1.0 2.8 0.6 0.9 0.0
Mizoram 1.4 3.9 0.9 2.1 0.2 1.2 1.9 0.4 1.0 0.2
Nagaland 0.8 0.7 0.5 1.3 0.2 0.7 0.4 0.0 0.3 0.0
Sikkim 2.3 1.5 2.2 2.0 0.1 1.5 0.3 0.2 0.2 0.2
Tripura 2.3 2.7 3.6 1.8 0.1 2.4 1.6 0.4 1.4 0.0
West
Daman & Diu 1.5 1.3 1.2 0.1 0.2 0.9 1.1 0.0 0.0 0.0
Goa 4.1 0.4 2.5 0.4 0.2 1.6 0.3 0.0 0.0 0.0
Gujarat 1.3 1.0 1.2 0.4 0.2 1.4 0.9 0.1 0.4 0.2
Maharashtra 1.7 1.5 2.1 0.4 0.1 2.3 1.5 0.3 0.5 0.1
South
Andhra Pradesh 3.4 2.6 4.6 0.9 0.1 3.5 2.6 0.6 1.4 0.2
Karnataka 2.0 1.0 2.0 0.5 0.1 1.7 1.1 0.8 1.1 0.3
Kerala 4.1 4.8 8.7 0.8 0.2 4.0 0.8 0.5 0.5 0.3
Lakshadweep 2.7 2.0 3.7 0.1 0.1 0.5 0.0 0.0 0.0 0.0
Puducherry 4.0 3.2 7.6 0.6 0.3 3.9 0.6 0.0 0.9 0.0
Tamil Nadu 2.9 1.5 4.1 0.6 0.1 2.6 0.6 0.4 0.5 0.1
Telangana 2.4 2.2 5.8 0.9 0.1 3.8 1.1 0.8 1.8 0.1
460
Table 11.7 Tobacco use by women and men
Percentage of women and men age 15-49 and men age 15-54 by their use of tobacco, and percent distribution of those who smoke
cigarettes or bidis by number of cigarettes/bidis smoked each day on average, India, 2019-21
Women Men
Total Total Total
Tobacco use Urban Rural 15-49 Urban Rural 15-49 15-54
Use of tobacco
Smokes cigarettes 0.1 0.1 0.1 14.6 12.5 13.2 13.3
Smokes bidis 0.0 0.2 0.1 4.5 8.3 7.0 7.8
Smokes cigars 0.0 0.0 0.0 0.6 0.5 0.6 0.6
Smokes a pipe 0.0 0.0 0.0 0.1 0.1 0.1 0.1
Smokes a hookah 0.0 0.1 0.1 0.3 0.7 0.5 0.6
Chews paan masala or gutkha 1.0 1.6 1.4 12.0 15.8 14.5 14.2
Uses khaini 0.4 1.1 0.9 6.6 14.5 11.7 12.1
Chews paan with tobacco 0.7 1.3 1.1 3.4 6.0 5.1 5.3
Other chewing tobacco 0.2 0.4 0.3 1.5 1.9 1.8 1.8
Uses snuff 0.1 0.1 0.1 0.0 0.1 0.1 0.1
Other 0.2 0.4 0.3 0.3 0.6 0.5 0.5
Does not use tobacco 97.5 95.1 95.9 67.9 57.1 60.9 59.7
Number of respondents 235,279 488,836 724,115 32,852 60,291 93,144 101,839
Number of cigarettes smoked each

day on average
<5 83.8 76.7 79.5 67.8 74.4 71.8 70.9
5-9 5.3 6.9 6.3 17.9 10.5 13.4 13.8
10-14 2.1 3.1 2.7 7.1 5.8 6.3 6.6
15-24 5.0 3.4 4.0 1.5 1.4 1.4 1.5
25 or more 3.9 9.9 7.6 1.3 0.4 0.7 0.8
Missing 0.0 0.0 0.0 4.4 7.5 6.3 6.4
Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0
Number of cigarette smokers 293 455 748 4,784 7,537 12,321 13,513
Number of bidis smoked each

day on average
<5 52.2 51.3 51.4 19.4 20.8 20.5 19.9
5-9 20.7 25.0 24.6 24.4 25.9 25.6 25.9
10-14 13.2 12.4 12.5 33.9 27.1 28.6 28.1
15-24 9.0 6.4 6.7 14.7 20.7 19.3 19.8
25 or more 4.9 4.8 4.8 3.4 4.2 4.0 4.4
Missing 0.0 0.0 0.0 4.1 1.3 1.9 1.8
Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0
Number of bidi smokers 92 858 950 1,474 5,007 6,482 7,974
Number of cigarettes/bidis smoked

each day on average
<5 74.1 55.8 60.1 55.7 50.2 52.1 49.5
5-9 10.3 20.2 17.8 20.0 19.2 19.4 20.1
10-14 5.1 10.3 9.1 13.7 15.5 14.9 15.6
15-24 6.4 6.1 6.1 6.3 10.3 9.0 9.8
25 or more 3.9 6.7 6.0 2.3 3.0 2.8 3.1
Missing 0.3 1.0 0.8 1.9 1.8 1.9 1.9
Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0
Number of cigarette/bidis smokers 369 1,202 1,571 5,633 11,113 16,746 19,066
461
Table 11.8 Use of tobacco by background characteristics
Percentage of women and men age 15-49 who use any kind of tobacco and percentage who smoke cigarettes or bidis, and among those who smoke cigarettes or bidis, percentage who
smoke 5 or more cigarettes or bidis each day on average, by background characteristics, India, 2019-21
Women Men
Percentage who Percentage who
Percentage Percentage Percentage smoke 5 or more Number Percentage Percentage Percentage smoke 5 or more Number
who use who who Number cigarettes/bidis of women who use who who Number cigarettes/bidis of men
Background any kind smoke smoke of each day on who smoke any kind smoke smoke of each day on who smoke
characteristic of tobacco cigarettes bidis women average cigarettes/bidis of tobacco cigarettes bidis men average cigarettes/bidis
Age
15-19 0.8 0.1 0.0 122,544 19.6 91 14.3 6.2 1.2 16,385 15.7 1,112
20-34 3.0 0.1 0.0 336,968 26.1 463 38.6 14.9 4.7 41,688 34.2 7,396
35-49 7.1 0.1 0.3 264,603 43.3 1,017 51.2 14.5 12.3 35,071 56.9 8,238
Residence
Urban 2.5 0.1 0.0 235,279 23.9 369 32.1 14.6 4.5 32,852 41.4 5,633
Rural 4.9 0.1 0.2 488,836 40.8 1,202 42.9 12.5 8.3 60,291 45.6 11,113
462
Maternity status
Pregnant 2.6 0.0 0.0 27,125 39.7 19 na na na na na na
Breastfeeding (not
pregnant) 3.3 0.1 0.1 100,596 34.8 118 na na na na na na
Neither 4.3 0.1 0.1 596,394 37.0 1,434 na na na na na na
Schooling
No schooling 9.4 0.2 0.5 163,492 44.3 982 61.8 15.4 18.7 9,982 62.0 2,951
<5 years complete 9.4 0.1 0.1 37,549 39.9 72 64.1 16.5 18.0 5,842 56.1 1,759
5-7 years complete 5.1 0.0 0.1 96,806 34.5 101 53.1 15.5 10.9 12,082 49.3 2,785
8-9 years complete 2.9 0.0 0.0 129,094 25.5 83 43.5 14.0 6.4 18,472 38.7 3,316
10-11 years complete 1.1 0.1 0.0 109,777 15.3 68 29.6 11.3 3.6 16,735 37.2 2,243
12 or more years
complete 0.6 0.1 0.0 187,396 18.2 265 23.5 11.6 1.6 30,032 29.5 3,693
Continued…
Table 11.8 Use of tobacco by background characteristics—Continued
Percentage of women and men age 15-49 who use any kind of tobacco and percentage who smoke cigarettes or bidis, and among those who smoke cigarettes or bidis, percentage who
smoke 5 or more cigarettes or bidis each day on average, by background characteristics, India, 2019-21
Women Men
Percentage Percentage Percentage smoke 5 or more Number Percentage Percentage Percentage smoke 5 or more Number
who use who who Number cigarettes/bidis of women who use who who Number cigarettes/bidis of men
Background any kind smoke smoke of each day on who smoke any kind smoke smoke of each day on who smoke
characteristic of tobacco cigarettes bidis women average cigarettes/bidis of tobacco cigarettes bidis men average cigarettes/bidis
Religion
Hindu 4.1 0.1 0.1 589,164 37.3 1,283 39.1 12.7 6.7 73,632 43.0 12,723
Muslim 4.1 0.1 0.1 97,595 36.1 176 40.9 14.4 9.0 14,633 49.2 3,060
Christian 7.2 0.3 0.1 16,995 26.6 55 36.6 24.0 6.9 2,426 50.0 648
Sikh 0.3 0.1 0.0 11,404 13.1 16 12.2 6.6 3.8 886 38.9 75
Buddhist/Neo-Buddhist 4.7 0.4 0.1 4,571 28.4 19 39.7 12.8 2.2 1,017 23.0 145
Jain 0.6 0.0 0.0 1,632 nc 0 29.7 8.9 3.9 280 35.1 35
Other 14.1 0.7 0.1 2,754 63.7 22 45.9 21.3 3.6 269 25.5 61
463
Caste/tribe
Scheduled caste 4.6 0.1 0.2 158,483 44.0 427 43.8 15.0 10.6 18,977 49.9 4,210
Scheduled tribe 11.1 0.2 0.2 67,263 31.4 229 51.5 15.2 8.5 8,441 45.9 1,741
Other backward class 2.9 0.1 0.1 310,783 44.2 562 35.3 10.8 4.7 38,986 38.0 5,575
Other 3.2 0.1 0.1 182,474 19.9 336 36.9 14.8 7.2 26,244 45.4 5,101
Don't know 6.8 0.2 0.2 5,112 20.0 17 52.0 17.9 9.2 496 49.7 119
Wealth index
Lowest 9.0 0.1 0.3 133,973 37.8 533 58.7 14.8 14.3 15,606 48.7 3,947
Second 5.6 0.1 0.2 144,813 43.5 376 48.8 14.6 9.9 18,497 45.9 3,979
Middle 3.6 0.1 0.1 148,616 41.9 259 38.4 12.8 6.4 19,829 45.9 3,355
Fourth 2.0 0.1 0.0 150,680 41.7 174 31.5 12.8 3.8 20,658 41.3 3,122
Highest 1.0 0.1 0.0 146,032 14.3 229 22.0 11.5 2.1 18,553 34.9 2,344
Total age 15-49 4.1 0.1 0.1 724,115 36.9 1,571 39.1 13.2 7.0 93,144 44.1 16,746
Age 50-54 na na na na na na 53.1 13.7 17.2 8,695 65.1 2,320
Total age 15-54 na na na na na na 40.3 13.3 7.8 101,839 46.7 19,066

na = Not applicable
nc = No cases
Table 11.9 Quitting tobacco and advise by a health care provider
Among women and men age 15-49 who currently use any kind of tobacco, percentage who have tried to stop smoking or using tobacco in any other form in the 12 months preceding the survey, and
among current users of tobacco who visited a doctor or other health care provider in the 12 months preceding the survey, percentage who were advised to quit smoking or using tobacco in any other
form, and among all women and men age 15-49, percentage who were present when someone (other than themselves) smoked in their home or anywhere else in the 30 days preceding the survey, by
Women Men
who tried were advised to Number of Percentage who who tried were advised to Number of Percentage who
to stop quit smoking or current users were present to stop quit smoking or current users were present
smoking or using tobacco in of tobacco when someone smoking or using tobacco in of tobacco when someone
using any form among who visited (other than using any form among who visited (other than
tobacco in those who visited a doctor or themselves) was tobacco in those who visited a doctor or themselves)
any other Number a doctor or other other health smoking in the any other Number a doctor or other other health was smoking in
form in the of current health care care provider home or form in the of current health care care provider the home or
Background past 12 users of provider in the in the past elsewhere in the Number past 12 users of provider in the in the past elsewhere in Number
characteristic months tobacco past 12 months 12 months past 30 days of women months tobacco past 12 months 12 months the past 30 days of men
Age
15-19 26.3 1,039 64.2 174 50.0 122,544 25.5 2,336 36.5 333 58.5 16,385
20-34 31.9 10,242 59.3 1,821 46.5 336,968 31.0 16,095 50.8 2,725 63.4 41,688
464
35-49 32.0 18,713 62.4 3,455 48.3 264,603 30.1 17,947 58.1 3,076 62.3 35,071
Residence
Urban 35.2 5,945 63.8 1,069 46.7 235,279 28.5 10,537 57.7 1,578 60.5 32,852
Rural 30.9 24,050 60.8 4,381 48.2 488,836 30.9 25,841 52.3 4,556 63.0 60,291
Schooling
No schooling 28.9 15,330 60.0 2,611 51.4 163,492 25.2 6,170 55.7 926 65.4 9,982
<5 years complete 33.5 3,515 66.5 674 51.4 37,549 28.0 3,744 55.2 575 68.0 5,842
5-7 years complete 35.1 4,924 64.0 905 49.2 96,806 30.6 6,417 50.6 1,153 66.5 12,082
8-9 years complete 35.7 3,779 59.9 761 48.4 129,094 33.7 8,038 56.1 1,392 63.7 18,472
10-11 years complete 36.3 1,258 60.0 257 46.0 109,777 31.7 4,951 55.2 861 58.6 16,735
12 or more years
complete 32.3 1,188 58.1 242 43.6 187,396 30.3 7,057 50.6 1,227 59.1 30,032
Religion
Hindu 31.9 24,180 60.5 4,187 48.1 589,164 30.8 28,790 54.6 4,723 62.1 73,632
Muslim 30.7 3,957 69.1 891 46.8 97,595 26.0 5,982 50.8 1,172 62.9 14,633
Christian 33.5 1,216 54.6 280 50.5 16,995 30.3 887 46.2 144 61.2 2,426
Sikh 28.2 29 61.3 2 32.3 11,404 31.1 108 76.1 12 53.8 886
Buddhist/Neo-Buddhist 32.1 216 70.0 39 45.2 4,571 40.8 404 53.9 58 53.1 1,017
Jain 12.1 10 30.2 4 36.2 1,632 46.3 83 49.2 11 80.3 280
Other 31.0 388 32.4 48 51.1 2,754 35.1 124 44.3 12 79.1 269
Continued…
Table 11.9 Quitting tobacco and advise by a health care provider—Continued
Among women and men age 15-49 who currently use any kind of tobacco, percentage who have tried to stop smoking or using tobacco in any other form in the 12 months preceding the survey, and
among current users of tobacco who visited a doctor or other health care provider in the 12 months preceding the survey, percentage who were advised to quit smoking or using tobacco in any other
form, and among all women and men age 15-49, percentage who were present when someone (other than themselves) smoked in their home or anywhere else in the 30 days preceding the survey, by
Women Men
who tried were advised to Number of Percentage who who tried were advised to Number of Percentage who
to stop quit smoking or current users were present to stop quit smoking or current users were present
smoking or using tobacco in of tobacco when someone smoking or using tobacco in of tobacco when someone
using any form among who visited (other than using any form among who visited (other than
tobacco in those who visited a doctor or themselves) was tobacco in those who visited a doctor or themselves)
any other Number a doctor or other other health smoking in the any other Number a doctor or other other health was smoking in
form in the of current health care care provider home or form in the of current health care care provider the home or
Background past 12 users of provider in the in the past elsewhere in the Number past 12 users of provider in the in the past elsewhere in Number
characteristic months tobacco past 12 months 12 months past 30 days of women months tobacco past 12 months 12 months the past 30 days of men
Caste/tribe
Scheduled caste 32.9 7,214 64.8 1,290 51.0 158,483 29.6 8,320 52.8 1,418 65.7 18,977
Scheduled tribe 26.8 7,442 57.5 1,232 51.7 67,263 27.6 4,350 47.4 670 65.4 8,441
Other backward class 34.0 9,086 60.4 1,712 47.1 310,783 32.0 13,754 52.6 2,243 61.0 38,986
465
Other 33.1 5,902 63.4 1,172 44.5 182,474 29.3 9,696 58.4 1,754 60.2 26,244
Don't know 33.8 350 57.7 44 48.9 5,112 33.0 258 49.5 49 62.3 496
Wealth index
Lowest 28.2 12,119 56.5 2,022 49.6 133,973 27.2 9,160 51.1 1,540 68.5 15,606
Second 31.9 8,093 64.0 1,570 49.4 144,813 29.3 9,019 51.2 1,486 64.2 18,497
Middle 35.9 5,387 64.0 1,019 48.9 148,616 32.1 7,607 55.4 1,339 60.3 19,829
Fourth 37.4 2,989 67.7 580 47.3 150,680 32.3 6,511 56.2 1,076 60.6 20,658
Highest 34.1 1,407 59.3 260 43.6 146,032 31.9 4,081 57.9 692 58.2 18,553
Total age 15-49 31.8 29,994 61.4 5,450 47.7 724,115 30.2 36,378 53.7 6,134 62.1 93,144
Age 50-54 na na na na na na 29.2 4,613 66.2 949 60.4 8,695
Total age 15-54 na na na na na na 30.1 40,991 55.4 7,083 62.0 101,839
na = Not applicable
Table 11.10 Quitting tobacco and advise by a health care provider by state/union territory
Among women and men age 15-49 who currently use any kind of tobacco, percentage who have tried to stop smoking or using tobacco
in any other form in the 12 months preceding the survey, and among current users of tobacco who visited a doctor or other health care
provider in the 12 months preceding the survey, percentage who were advised to quit smoking or using tobacco in any other form, and
among all women and men age 15-49, percentage who were present when someone (other than themselves) smoked in their home or
anywhere else in the 30 days preceding the survey, by state/union territory, India, 2019-21
Women Men
were advised to Percentage who were advised to Percentage who
quit smoking or were present quit smoking or were present
Percentage using tobacco in when someone using tobacco in when someone
who tried to any form among (other than Percentage who any form among (other than
stop smoking or those who visited a themselves) tried to stop those who visited themselves)
using tobacco doctor or other was smoking in smoking or using a doctor or other was smoking in
in any other health care the home or tobacco in any health care the home or
form in the past provider in the elsewhere in the other form in the provider in the elsewhere in the
State/union territory 12 months past 12 months past 30 days past 12 months past 12 months past 30 days
India 31.8 61.4 47.7 30.2 53.7 62.1
North
Chandigarh nc nc 43.2 37.3 100.0 68.4
Delhi 40.7 44.4 56.6 36.2 65.8 81.4
Haryana 42.3 67.0 59.3 22.3 52.6 73.6
Jammu & Kashmir 17.1 57.8 59.3 11.9 38.5 65.3
Ladakh 10.7 59.1 50.4 3.5 15.1 59.6
Punjab 22.4 nc 32.5 33.9 82.3 53.8
Rajasthan 31.7 57.5 67.6 23.6 41.6 80.1
Uttarakhand 39.6 39.0 57.3 44.5 30.0 85.8
Central
Chhattisgarh 25.2 54.5 29.7 21.9 46.7 68.2
Madhya Pradesh 39.0 65.9 49.5 34.0 57.8 75.1
Uttar Pradesh 41.5 69.0 48.9 32.3 50.0 77.8
East
Bihar 37.2 57.0 38.9 31.2 50.8 70.3
Jharkhand 21.0 55.8 43.1 25.1 42.3 69.0
Odisha 25.5 33.4 39.0 46.1 35.1 62.1
West Bengal 26.9 69.1 54.2 22.8 55.1 68.1
Northeast
Assam 19.9 64.9 43.4 12.0 36.7 46.1
Manipur 33.5 38.1 75.2 47.6 29.7 76.5
Meghalaya 36.1 59.6 62.7 34.4 57.3 53.8
Mizoram 39.4 56.5 95.0 28.4 40.6 91.5
Nagaland 31.8 29.0 55.1 19.2 16.0 71.7
Sikkim 20.0 21.3 39.1 18.8 42.3 50.3
Tripura 28.3 55.4 71.9 13.9 55.2 76.9
West
and Daman & Diu 22.5 100.0 46.4 38.2 74.8 64.8
Goa 16.6 49.7 35.8 18.1 68.6 51.6
Gujarat 34.5 65.7 57.8 40.6 56.8 69.8
Maharashtra 34.4 78.3 36.5 36.2 62.9 54.3
Continued…
466
Table 11.10 Quitting tobacco and advise by a health care provider by state/union territory—Continued
Among women and men age 15-49 who currently use any kind of tobacco, percentage who have tried to stop smoking or using tobacco
in any other form in the 12 months preceding the survey, and among current users of tobacco who visited a doctor or other health care
provider in the 12 months preceding the survey, percentage who were advised to quit smoking or using tobacco in any other form, and
among all women and men age 15-49, percentage who were present when someone (other than themselves) smoked in their home or
anywhere else in the 30 days preceding the survey, by state/union territory, India, 2019-21
Women Men
were advised to Percentage who were advised to Percentage who
quit smoking or were present quit smoking or were present
Percentage using tobacco in when someone using tobacco in when someone
who tried to any form among (other than Percentage who any form among (other than
stop smoking or those who visited a themselves) tried to stop those who visited themselves)
using tobacco doctor or other was smoking in smoking or using a doctor or other was smoking in
in any other health care the home or tobacco in any health care the home or
form in the past provider in the elsewhere in the other form in the provider in the elsewhere in the
State/union territory 12 months past 12 months past 30 days past 12 months past 12 months past 30 days
South
Andaman & Nicobar
Islands 36.4 43.2 41.0 29.1 51.8 62.7
Andhra Pradesh 26.9 72.0 46.6 33.6 68.2 62.7
Karnataka 32.3 79.6 44.1 27.8 56.2 37.6
Kerala 43.0 63.6 40.1 35.6 52.6 55.2
Lakshadweep 24.7 44.0 19.3 8.9 0.0 38.1
Puducherry 83.3 100.0 52.4 30.6 61.9 58.8
Tamil Nadu 32.7 64.0 51.0 36.6 65.9 43.7
Telangana 36.8 77.9 50.0 39.2 65.5 54.5
nc = No cases
467
Table 11.11.1 Use of alcohol: Women
Percentage of women age 15-49 who drink alcohol and percent distribution of alcohol drinkers by frequency of drinking,
Percentage Among women who drink alcohol,

frequency of drinking
of women
who drink Number Almost About Less than Number
Background characteristic alcohol of women every day once a week once a week Total of women
Age
15-19 0.2 122,544 6.3 24.6 69.1 100.0 238
20-34 0.6 336,968 12.8 33.8 53.3 100.0 2,040
35-49 1.2 264,603 20.4 39.2 40.4 100.0 3,123
Residence
Urban 0.4 235,279 11.3 25.6 63.1 100.0 991
Rural 0.9 488,836 18.1 39.0 42.8 100.0 4,409
Maternity status
Pregnant 0.4 27,125 12.6 28.7 58.7 100.0 111
Breastfeeding (not pregnant) 0.6 100,596 17.3 36.0 46.7 100.0 589
Neither 0.8 596,394 16.9 36.8 46.3 100.0 4,700
Schooling
No schooling 1.8 163,492 23.1 41.6 35.4 100.0 2,974
<5 years complete 1.0 37,549 15.6 38.8 45.6 100.0 380
5-7 years complete 0.5 96,806 13.6 34.5 51.9 100.0 529
8-9 years complete 0.4 129,094 7.9 33.9 58.2 100.0 501
10-11 years complete 0.3 109,777 8.4 26.1 65.5 100.0 305
12 or more years complete 0.4 187,396 4.3 22.2 73.5 100.0 713
Religion
Hindu 0.8 589,164 15.8 37.2 46.9 100.0 4,650
Muslim 0.0 97,595 24.7 24.3 51.0 100.0 48
Christian 2.1 16,995 14.1 35.0 50.9 100.0 360
Sikh 0.2 11,404 8.0 9.6 82.4 100.0 18
Jain 0.5 1,632 8.2 16.6 75.2 100.0 9
Other 8.6 2,754 44.5 32.0 23.5 100.0 237
Caste/tribe
Scheduled caste 0.5 158,483 19.1 33.8 47.1 100.0 845
Scheduled tribe 3.9 67,263 18.0 41.9 40.0 100.0 2,590
Other 0.3 182,474 10.2 24.4 65.4 100.0 625
Don't know 0.9 5,112 22.2 33.5 44.3 100.0 44
Wealth index
Lowest 1.9 133,973 19.6 42.9 37.4 100.0 2,600
Second 0.7 144,813 18.7 37.1 44.2 100.0 1,054
Middle 0.5 148,616 17.5 33.6 48.9 100.0 710
Fourth 0.3 150,680 11.7 26.2 62.1 100.0 468
Highest 0.4 146,032 4.6 18.5 76.9 100.0 569
Total 0.7 724,115 16.9 36.6 46.6 100.0 5,401
468
Table 11.11.2 Use of alcohol: Men
Percentage of men age 15-49 who drink alcohol and percent distribution of alcohol drinkers by frequency of drinking, according
to background characteristics, India, 2019-21
Percentage Among men who drink alcohol,

frequency of drinking
of men
who drink Number Almost About Less than Number
Background characteristic alcohol of men every day once a week once a week Total of men
Age
15-19 5.8 16,385 4.3 32.9 62.9 100.0 943
20-34 22.7 41,688 10.8 43.5 45.7 100.0 9,480
35-49 29.9 35,071 19.2 44.3 36.5 100.0 10,486
Residence
Urban 22.1 32,852 14.2 44.7 41.1 100.0 7,274
Rural 22.6 60,291 15.0 42.7 42.3 100.0 13,636
Schooling
No schooling 31.6 9,982 24.3 43.1 32.6 100.0 3,157
<5 years complete 32.7 5,842 16.0 40.9 43.1 100.0 1,909
5-7 years complete 28.5 12,082 17.9 43.9 38.3 100.0 3,449
8-9 years complete 21.5 18,472 15.0 42.6 42.4 100.0 3,980
10-11 years complete 19.2 16,735 12.1 47.6 40.3 100.0 3,218
12 or more years complete 17.3 30,032 7.8 42.2 50.0 100.0 5,196
Religion
Hindu 25.0 73,632 14.5 43.4 42.1 100.0 18,384
Muslim 6.3 14,633 12.8 38.2 49.1 100.0 917
Christian 35.5 2,426 17.0 48.2 34.7 100.0 861
Sikh 30.4 886 15.2 46.0 38.8 100.0 270
Jain 19.6 280 1.5 95.9 2.6 100.0 55
Other 48.8 269 39.1 30.4 30.6 100.0 131
Caste/tribe
Scheduled caste 31.1 18,977 14.6 41.4 44.1 100.0 5,905
Scheduled tribe 33.6 8,441 21.2 44.1 34.7 100.0 2,835
Other 15.7 26,244 12.6 38.3 49.1 100.0 4,117
Don't know 20.4 496 11.6 37.7 50.7 100.0 101
Wealth index
Lowest 27.8 15,606 16.8 39.6 43.6 100.0 4,332
Second 23.7 18,497 16.0 41.6 42.4 100.0 4,375
Middle 22.3 19,829 15.3 44.6 40.0 100.0 4,427
Fourth 21.4 20,658 13.1 47.0 39.9 100.0 4,412
Highest 18.1 18,553 11.6 44.4 44.0 100.0 3,364
Total age 15-49 22.4 93,144 14.7 43.4 41.9 100.0 20,910
Age 50-54 27.2 8,695 21.7 44.6 33.7 100.0 2,361
Total age 15-54 22.9 101,839 15.4 43.5 41.0 100.0 23,271
469
Table 11.12 Use of alcohol by state/union territory
Percentage of women and men age 15-49 who drink

alcohol, by state/union territory, India, 2019-21
Percentage of Percentage of
women who men who
State/union territory drink alcohol drink alcohol
India 0.7 22.4
North
Chandigarh 0.1 26.4
Delhi 1.4 27.9
Haryana 0.1 17.9
Himachal Pradesh 0.4 31.9
Jammu & Kashmir 0.2 10.5
Ladakh 3.6 23.7
Punjab 0.1 27.5
Rajasthan 0.1 11.5
Uttarakhand 0.1 32.1
Central
Chhattisgarh 2.8 35.9
Madhya Pradesh 0.4 20.2
Uttar Pradesh 0.1 16.5
East
Bihar 0.1 17.0
Jharkhand 2.6 40.4
Odisha 2.7 38.4
West Bengal 0.7 25.7
Northeast
Arunachal Pradesh 17.8 56.6
Assam 5.5 26.5
Manipur 1.6 47.9
Meghalaya 1.0 36.3
Mizoram 1.0 29.9
Nagaland 1.4 31.1
Sikkim 14.8 36.3
Tripura 4.3 35.9
West
and Daman & Diu 0.5 41.8
Goa 4.8 59.1
Gujarat 0.1 5.9
Maharashtra 0.2 17.2
South
Andaman & Nicobar
Islands 2.2 42.1
Andhra Pradesh 0.2 31.2
Karnataka 0.3 23.1
Kerala 0.3 26.0
Lakshadweep 0.1 0.8
Puducherry 0.2 37.1
Tamil Nadu 0.1 32.8
Telangana 4.9 50.0
470
Table 11.13 Health insurance/financing scheme coverage: Households
Percentage of households in which at least one usual member is covered by health insurance or financing scheme, type of health insurance/financing scheme coverage, according to background characteristics,
India, 2019-21
Percentage of Type of coverage among households in which at least one usual member is covered
by health insurance/financing scheme
households
covered by Employee
health state Central State Rashtriya Community Other health Other privately
insurance or insurance government health Swasthya Bima health insurance Medical purchased
financing Number of scheme health scheme insurance Yojana insurance through reimbursement commercial Number of
Background characteristic scheme1 households (ESIS) (CGHS) scheme (RSBY) programme employer from employer health insurance Other households
Residence
Urban 38.1 211,271 7.8 10.8 42.4 12.7 0.5 2.6 2.0 8.0 19.6 80,454
Rural 42.4 425,428 1.8 6.7 47.8 17.0 0.3 0.4 0.2 1.3 29.3 180,558

Hindu 42.4 521,485 3.7 8.2 47.5 15.1 0.3 1.2 0.8 3.3 25.7 220,919
Muslim 31.0 78,928 3.0 5.0 35.4 19.8 0.4 0.6 0.3 1.7 37.1 24,450
Christian 55.3 17,881 4.4 5.8 54.8 22.4 0.2 0.8 1.0 5.1 10.9 9,881
Sikh 28.3 9,742 5.0 23.4 32.5 11.0 1.3 1.8 1.3 12.0 15.4 2,755
Buddhist/Neo-Buddhist 29.8 4,522 4.1 17.7 14.0 12.9 0.3 1.0 0.6 6.4 46.5 1,346
471
Jain 42.1 1,621 4.7 5.8 26.0 4.5 0.7 4.6 3.3 32.9 23.6 682
Other 38.9 2,520 1.2 5.9 15.9 10.8 1.0 0.1 0.6 1.6 64.8 979

Scheduled caste 42.7 137,846 2.8 7.9 49.0 14.9 0.3 0.6 0.3 1.4 28.2 58,889
Scheduled tribe 46.8 60,543 2.1 7.2 40.8 23.9 0.2 0.4 0.4 0.7 28.8 28,326
Other backward class 43.0 264,886 3.4 7.7 52.0 14.0 0.3 1.1 0.6 2.6 24.2 113,879
Other 34.8 167,906 5.8 9.0 34.5 15.6 0.6 1.9 1.7 8.4 27.3 58,368
Don't know 28.1 5,518 4.2 7.5 37.6 21.0 0.7 0.7 1.3 3.5 27.7 1,550
Wealth index
Lowest 36.1 132,300 0.7 4.9 32.0 21.6 0.3 0.1 0.0 0.2 43.4 47,765
Second 42.0 127,292 1.0 6.1 48.2 16.3 0.2 0.2 0.1 0.5 31.8 53,522
Middle 44.1 127,106 2.0 7.7 56.4 14.8 0.2 0.4 0.2 1.1 22.5 56,071
Fourth 42.2 124,936 4.3 8.7 53.7 15.8 0.3 1.1 0.6 2.5 19.1 52,676
Highest 40.8 125,065 10.6 12.4 37.9 10.2 0.6 3.7 2.9 12.8 16.1 50,978
Total 41.0 636,699 3.7 8.0 46.1 15.7 0.3 1.1 0.7 3.4 26.3 261,012
1
Percentage of households in which any usual member of the household is covered by health insurance/financing scheme
Table 11.14.1 Health insurance/financing scheme coverage: Women
Percentage of households in which at least one usual member is covered by health insurance or financing scheme, type of health insurance/financing scheme coverage, according to background
Type of coverage among women covered by health insurance/financing scheme

Percentage of Employees’ Central
women covered state government State Rashtriya Community Other health Other privately
by health insurance health health Swasthya health insurance Medical purchased
Background insurance/financing Number scheme Scheme insurance Bima Yojana insurance through reimbursement commercial Number of
characteristic scheme of women (ESIS) (CGHS) scheme (RSBY) programme employer from employer health insurance Other women
Age
15-19 25.5 122,544 1.8 5.0 49.8 16.6 0.3 0.4 0.3 1.4 27.2 31,301
20-24 24.4 119,440 2.3 5.5 51.1 16.3 0.2 0.5 0.5 1.8 24.5 29,167
25-34 28.0 217,529 3.1 6.1 47.9 15.7 0.6 1.0 0.7 2.7 25.7 60,925
35-49 35.6 264,603 2.8 6.4 48.4 16.9 0.4 0.8 0.6 2.7 25.2 94,121
Residence
Urban 26.8 235,279 5.9 8.2 45.1 14.3 0.6 1.8 1.6 6.3 20.2 63,012
Rural 31.2 488,836 1.3 5.1 50.4 17.3 0.3 0.3 0.2 0.8 27.7 152,502
472
Religion
Hindu 31.0 589,164 2.7 6.1 49.9 16.0 0.4 0.8 0.6 2.4 24.7 182,589
Muslim 22.1 97,595 1.5 3.9 40.2 19.5 0.6 0.4 0.2 1.0 35.2 21,564
Christian 44.2 16,995 3.9 4.2 56.9 21.5 0.1 0.6 0.7 4.1 12.4 7,509
Sikh 14.7 11,404 3.9 21.4 40.1 11.0 1.4 1.6 1.6 7.6 13.0 1,681
Buddhist/Neo-Buddhist 21.3 4,571 1.7 15.4 16.7 10.4 0.4 0.2 1.7 6.8 48.3 973
Jain 24.9 1,632 3.6 3.5 38.4 4.9 2.8 2.6 3.4 21.9 22.0 406
Other 28.7 2,754 0.8 4.2 18.4 8.7 0.0 0.0 0.1 1.0 67.7 791
Caste/tribe
Scheduled caste 30.5 158,483 2.1 5.9 51.7 14.6 0.5 0.4 0.3 1.0 27.3 48,344
Scheduled tribe 37.6 67,263 1.6 5.6 44.5 24.0 0.2 0.2 0.1 0.4 26.3 25,272
Other 24.9 182,474 4.2 6.6 40.5 15.2 0.6 1.5 1.3 6.5 26.9 45,516
Don't know 18.8 5,112 1.8 5.5 37.0 20.7 2.3 1.1 1.0 1.2 31.6 963
Continued…
Table 11.14.1 Health insurance/financing scheme coverage: Women—Continued
Percentage of households in which at least one usual member is covered by health insurance or financing scheme, type of health insurance/financing scheme coverage, according to background
Type of coverage among women covered by a health insurance/financing scheme

women covered state government State Rashtriya Community Other health Other privately
Background insurance/financing Number scheme scheme insurance Bima Yojana insurance through reimbursement commercial Number of
characteristic scheme of women (ESIS) (CGHS) scheme (RSBY) programme employer from employer health insurance Other women
Wealth index
Lowest 26.8 133,973 0.7 3.9 31.7 22.8 0.6 0.1 0.0 0.1 43.0 35,899
Second 30.8 144,813 0.8 4.7 48.3 17.2 0.3 0.1 0.1 0.3 31.2 44,536
Middle 32.3 148,616 1.4 5.6 57.9 15.3 0.3 0.3 0.1 0.6 22.1 47,969
Fourth 30.9 150,680 3.0 6.5 56.9 16.1 0.3 0.7 0.4 1.4 18.6 46,500
Highest 27.8 146,032 7.5 9.0 44.6 11.7 0.7 2.6 2.4 9.9 15.8 40,609
Total 29.8 724,115 2.6 6.0 48.8 16.4 0.4 0.8 0.6 2.4 25.5 215,514
473
Table 11.14.2 Health insurance/financing scheme coverage: Men
Percentage of men age 15-49 who are covered by any health insurance or financing scheme by the type of health insurance/financing scheme coverage that they have, according to background characteristics,
India, 2019-21

men covered state government State Rashtriya Community Other health Other privately
insurance/financing Number of scheme scheme insurance Bima Yojana insurance through reimbursement commercial Number of
Background characteristic scheme men (ESIS) (CGHS) scheme (RSBY) programme employer from employer health insurance Other men
Age
15-19 27.0 16,385 2.5 6.8 53.0 14.2 0.2 0.6 0.8 1.1 23.9 4,421
20-24 29.7 14,384 3.3 6.4 49.0 13.8 0.3 1.6 2.4 2.5 24.0 4,278
25-34 33.1 27,304 5.1 6.6 47.9 13.3 0.5 1.9 2.0 4.5 23.5 9,046
35-49 37.8 35,071 4.1 6.5 46.7 14.3 0.3 1.3 0.8 4.4 26.0 13,267
Residence
Urban 30.2 32,852 7.8 8.1 45.6 11.7 0.3 3.5 3.6 7.8 16.9 9,927
Rural 35.0 60,291 2.3 5.8 49.6 15.0 0.4 0.5 0.3 1.8 28.4 21,086
474
Religion
Hindu 34.7 73,632 4.1 6.7 49.5 13.0 0.3 1.5 1.5 3.7 24.4 25,516
Muslim 25.0 14,633 3.6 4.8 42.2 18.5 0.4 0.6 0.1 2.0 30.8 3,657
Christian 49.4 2,426 3.0 3.3 55.5 24.2 0.3 2.2 0.6 5.2 9.4 1,197
Sikh 22.2 886 4.0 19.4 34.2 9.9 0.2 2.0 0.6 19.6 14.2 196
Buddhist/Neo-Buddhist 26.8 1,017 5.8 24.1 15.3 5.6 0.4 0.0 0.0 5.8 46.0 273
Jain 33.1 280 0.0 2.8 18.7 1.3 4.1 14.8 42.6 5.0 12.0 93
Other 29.8 269 29.3 3.2 15.6 11.4 0.0 0.0 0.0 0.0 41.0 80
Caste/tribe
Scheduled caste 34.0 18,977 3.0 6.1 49.8 14.5 0.1 0.7 0.4 2.3 26.5 6,461
Scheduled tribe 39.0 8,441 3.3 9.9 39.9 19.3 0.4 0.1 0.5 1.1 30.3 3,289
Other 27.3 26,244 5.8 7.4 40.1 12.4 0.6 2.5 3.7 7.8 25.0 7,175
Don't know 14.1 496 7.7 12.4 36.8 26.6 0.0 1.2 0.8 3.0 23.9 70
Continued…
Table 11.14.2 Health insurance/financing scheme coverage: Men—Continued
Percentage of men age 15-49 who are covered by any health insurance or financing scheme by the type of health insurance/financing scheme coverage that they have, according to background characteristics,
India, 2019-21

men covered state government State Rashtriya Community Other health Other privately
insurance/financing Number of scheme scheme insurance Bima Yojana insurance through reimbursement commercial Number of
Background characteristic scheme men (ESIS) (CGHS) scheme (RSBY) programme employer from employer health insurance Other men
Wealth index
Lowest 27.0 15,606 2.2 5.3 30.5 19.4 0.7 0.0 0.1 0.6 44.7 4,219
Second 31.4 18,497 1.5 5.0 47.0 16.2 0.1 0.3 0.2 0.6 33.0 5,808
Middle 36.9 19,829 2.2 6.6 55.9 13.6 0.3 0.5 0.3 1.3 22.8 7,320
Fourth 36.7 20,658 4.1 5.9 56.3 13.7 0.2 1.9 1.3 2.6 18.1 7,587
Highest 32.8 18,553 10.0 9.7 42.6 8.6 0.5 4.1 4.9 13.2 13.4 6,078
Total age 15-49 33.3 93,144 4.1 6.6 48.3 13.9 0.3 1.4 1.4 3.7 24.7 31,012
Age 50-54 40.4 8,695 4.2 8.8 45.8 16.7 0.3 1.9 0.6 3.6 23.0 3,511
475
Total age 15-54 33.9 101,839 4.1 6.8 48.0 14.2 0.3 1.5 1.3 3.7 24.5 34,523
Table 11.15 Health insurance/financing scheme coverage among women and men by state/union
territory
Percentage of households with at least one usual member covered by any health insurance or
financing scheme, and percentage of women and men age 15-49 who are covered by any health
insurance or financing scheme, by state/union territory, India, 2019-21
Percentage of
households with at
least one usual Percentage of Percentage of
member covered women covered men covered
by any health by any health by any health
insurance/financing insurance/financing insurance/financing
State/union territory scheme scheme scheme
India 41.0 29.8 33.3
North
Delhi 25.0 16.5 13.8
Haryana 25.7 16.5 18.1
Ladakh 17.1 4.8 17.6
Punjab 25.2 11.2 18.4
Rajasthan 87.8 83.5 83.9
Central
East
Bihar 17.4 10.5 10.6
Jharkhand 50.3 36.3 41.8
Odisha 47.9 33.7 41.6
West Bengal 33.7 26.0 22.1
Northeast
Assam 66.7 52.9 53.7
Manipur 16.4 8.4 6.5
Meghalaya 69.0 61.8 57.4
Mizoram 50.3 39.7 42.0
Nagaland 22.0 9.8 12.4
Sikkim 28.0 20.1 24.1
Tripura 36.4 28.2 28.6
West
Daman & Diu 56.6 63.4 57.6
Goa 73.1 68.4 72.7
Gujarat 44.4 34.0 39.5
South
Karnataka 31.8 21.6 25.8
Kerala 57.8 49.9 50.8
Tamil Nadu 66.5 32.6 48.6
Telangana 69.2 63.1 71.2
476
Table 11.16 Source of health care
Percent distribution of households by the source of health care which household members generally use when they get sick, according
to residence and the wealth index, India, 2019-21
Residence Wealth index

Source Urban Rural Lowest Second Middle Fourth Highest Total
UHC/UHP/UFWC 2.8 0.8 0.9 1.2 1.6 2.2 1.6 1.5
PHC/additional PHC 4.7 13.0 12.0 13.0 13.1 9.3 3.7 10.3
Sub-centre 0.3 1.7 2.2 1.7 1.2 0.7 0.3 1.2
Private paramedic 0.3 0.5 0.7 0.5 0.4 0.3 0.3 0.4
Other private health sector 0.6 1.1 1.6 1.1 0.8 0.7 0.6 1.0
Other source 0.7 1.5 2.6 1.3 0.9 0.7 0.7 1.2
Shop 0.1 0.2 0.2 0.2 0.1 0.1 0.1 0.1
Home treatment 0.1 0.2 0.3 0.1 0.1 0.1 0.2 0.1
Other 0.5 1.2 2.1 1.0 0.7 0.5 0.5 1.0
Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
Number of households 211,271 425,428 132,300 127,292 127,106 124,936 125,065 636,699
AYUSH = Ayurveda, yoga and naturopathy, unani, siddha, and homeopathy; UHC = Urban health centre; UHP = Urban health post; UFWC = Urban family
welfare centre; CHC = Community health centre; PHC = Primary health centre; NGO = Nongovernmental organization
477
Table 11.17 Reasons for not using a government health facility by state/union territory
Percentage of households whose members do not generally use a government health facility when they are sick, and among
households whose members do not generally use a government health facility when they are sick, percentage giving specific reasons
for not utilizing a government health facility, according to state/union territory, India, 2019-21
Reasons for not generally using government health facilities among households that
Percentage of
do not generally use government health facilities
households that
do not generally Health
use a government No nearby Facility timing personnel Waiting Poor quality
State/union territory health facility facility not convenient often absent time too long of care
India 49.9 40.2 25.3 15.0 45.7 47.6
North
Chandigarh 34.6 20.2 16.9 12.6 65.4 32.6
Delhi 36.1 28.8 27.6 9.0 69.0 40.0
Haryana 61.0 36.7 24.7 14.1 60.9 48.1
Jammu & Kashmir 8.9 40.8 16.4 13.0 45.5 42.6
Ladakh 0.4 12.2 0.0 0.0 75.2 41.1
Punjab 67.5 41.0 24.0 16.9 52.7 39.5
Rajasthan 26.4 39.2 26.3 15.8 44.1 52.4
Uttarakhand 55.7 47.3 27.9 19.8 56.8 53.4
Central
Chhattisgarh 30.2 41.2 23.1 17.8 46.0 35.6
Madhya Pradesh 49.7 41.8 25.5 16.2 41.7 48.2
Uttar Pradesh 75.0 46.5 21.6 14.3 45.5 55.2
East
Bihar 80.2 37.9 27.0 21.0 45.2 62.3
Jharkhand 61.9 54.8 23.9 20.6 39.5 46.6
Odisha 12.2 43.6 14.8 11.2 34.4 34.9
West Bengal 29.9 43.8 17.9 6.7 53.6 32.5
Northeast
Assam 16.7 40.3 28.8 16.9 52.6 34.1
Manipur 16.5 14.8 31.5 12.8 59.5 40.7
Meghalaya 21.6 28.2 13.9 8.5 37.3 30.6
Mizoram 11.3 45.0 12.9 3.0 34.0 16.7
Nagaland 29.2 37.1 26.2 13.2 27.9 31.3
Sikkim 12.2 47.2 15.7 6.2 36.6 20.9
Tripura 7.2 23.3 30.6 17.8 50.2 41.1
West
and Daman & Diu 25.6 20.0 24.6 9.4 68.0 27.2
Goa 38.4 19.7 9.3 4.3 70.2 24.1
Gujarat 45.9 32.1 26.4 12.6 45.7 28.0
Maharashtra 63.9 41.3 23.9 12.2 40.3 35.6
South
Andaman & Nicobar
Islands 4.5 15.5 14.6 9.7 43.2 33.9
Andhra Pradesh 57.9 36.9 30.6 14.9 47.9 57.9
Karnataka 44.8 38.1 33.2 20.3 46.9 45.2
Kerala 23.9 29.4 34.2 6.7 47.0 19.6
Lakshadweep 0.9 25.9 24.7 38.2 12.9 36.5
Puducherry 21.2 10.2 28.2 8.8 53.9 56.2
Tamil Nadu 34.9 26.2 29.7 11.9 45.7 42.9
Telangana 63.8 34.5 29.9 16.2 40.2 57.5
478
Table 11.18 Recent contacts with health workers
Percentage of women who had any contact with a health worker in the 3 months preceding the survey by type of health worker, and among those who had contact with a health worker in the past 3
months, percentage who met a worker at home, at an anganwadi centre, at a health facility or camp, or elsewhere, according to background characteristics, India, 2019-21
Percentage of women who had any contact with a Among women who met a health worker in the past 3 months,
health worker in the past 3 months percentage who met a worker:
Number
Other At an of women
community Any health Number anganwadi At a health who met a
Background characteristic ANM/LHV AWW ASHA MPW health worker worker1 of women At home centre facility or camp Elsewhere health worker
Age
15-19 11.6 9.3 14.4 0.6 0.3 20.8 122,544 69.8 59.2 36.1 29.6 25,543
20-29 28.0 22.6 31.1 1.3 0.4 43.6 236,584 70.7 79.0 41.9 27.7 103,182
30-39 18.7 14.2 22.1 1.1 0.4 31.4 197,936 74.5 63.5 37.2 28.8 62,076
40-49 13.5 9.5 16.6 1.1 0.5 23.6 167,051 75.7 49.1 34.7 30.6 39,455
Residence
Urban 16.2 11.6 14.8 1.2 0.8 25.9 235,279 67.7 61.8 37.2 26.5 60,863
Rural 20.8 16.7 26.2 1.0 0.2 34.7 488,836 74.2 69.5 39.3 29.5 169,393
479
Schooling
No schooling 17.1 13.2 22.1 0.7 0.2 28.6 163,492 76.2 68.0 38.3 31.0 46,781
<5 years complete 17.9 14.5 24.4 0.9 0.4 32.9 37,549 73.2 62.5 35.8 27.6 12,361
5-7 years complete 20.1 16.0 24.1 1.0 0.4 33.4 96,806 73.3 67.5 38.9 29.2 32,339
8-9 years complete 20.0 16.4 24.1 1.1 0.5 33.6 129,094 72.5 68.5 38.3 28.1 43,370
10-11 years complete 19.7 15.4 22.3 1.2 0.5 32.3 109,777 71.9 67.1 39.9 29.0 35,464
12 or more years complete 20.6 15.0 20.6 1.4 0.5 32.0 187,396 69.3 67.5 39.3 27.1 59,942
Marital status
Never married 9.2 7.2 11.3 0.7 0.3 16.9 172,075 70.8 50.3 30.5 29.2 29,090
Currently married 23.0 17.9 26.6 1.2 0.4 37.2 521,352 72.7 70.6 40.2 28.6 193,941
Widowed/divorced/
separated/deserted 13.6 10.3 16.0 1.1 0.5 23.5 30,688 72.7 51.9 34.2 29.7 7,225
Continued…
Table 11.18 Recent contacts with health workers—Continued
Percentage of women who had any contact with a health worker in the 3 months preceding the survey by type of health worker, and among those who had contact with a health worker in the past 3
months, percentage who met a worker at home, at an anganwadi centre, at a health facility or camp, or elsewhere, according to background characteristics, India, 2019-21
Percentage of women who had any contact with a Among women who met a health worker in the past 3 months,
health worker in the past 3 months percentage who met a worker:
Number
Other At an of women
community Any health Number anganwadi At a health who met a
Background characteristic ANM/LHV AWW ASHA MPW health worker worker1 of women At home centre facility or camp Elsewhere health worker
Religion
Hindu 19.7 15.5 22.5 1.1 0.4 32.0 589,164 72.2 67.8 38.5 29.0 188,459
Muslim 18.5 13.4 25.5 0.8 0.4 33.3 97,595 77.3 67.7 41.2 28.2 32,513
Christian 20.1 15.1 18.5 1.5 0.4 32.2 16,995 65.4 56.2 32.0 24.6 5,468
Sikh 10.8 6.5 10.3 0.3 0.5 16.6 11,404 54.4 61.8 44.5 21.9 1,896
Buddhist/Neo-Buddhist 14.9 11.2 11.6 1.1 0.5 22.8 4,571 56.7 65.9 39.3 28.7 1,041
Jain 8.4 7.5 10.6 0.8 0.1 15.1 1,632 73.7 64.0 36.5 20.9 247
Other 14.8 13.0 14.5 0.7 0.1 22.9 2,754 60.8 72.8 33.4 27.8 632
Caste/tribe
480
Scheduled caste 20.3 15.4 23.4 1.1 0.4 32.9 158,483 72.6 68.6 39.8 29.2 52,173
Scheduled tribe 22.8 20.2 26.9 1.4 0.3 36.3 67,263 70.4 71.7 38.5 29.9 24,440
Other backward class 20.7 15.8 23.0 1.2 0.3 32.8 310,783 72.2 67.9 38.7 29.0 102,090
Other 15.2 11.6 19.4 0.8 0.7 27.5 182,474 74.0 63.4 37.9 27.2 50,174
Don't know 13.0 12.6 18.6 0.3 0.1 27.0 5,112 69.2 67.6 39.4 24.0 1,379
Wealth Index
Lowest 20.2 16.5 27.6 0.7 0.2 34.6 133,973 74.7 72.7 38.9 31.2 46,344
Second 20.5 16.2 26.1 1.0 0.2 34.3 144,813 74.7 69.5 39.7 30.4 49,672
Middle 20.9 16.7 23.4 1.2 0.5 33.8 148,616 72.5 67.4 39.4 29.0 50,259
Fourth 19.7 15.3 21.0 1.3 0.6 32.0 150,680 71.4 65.4 38.4 27.5 48,207
Highest 15.4 10.5 14.9 1.2 0.6 24.5 146,032 67.9 60.8 36.8 24.5 35,774
Total 19.3 15.0 22.5 1.1 0.4 31.8 724,115 72.5 67.5 38.8 28.7 230,256
1
Contact with auxiliary nurse midwife (ANM), lady health visitor (LHV), anganwadi worker (AWW), Accredited Social Health Activist (ASHA), multipurpose worker (MPW), or other community health worker
Table 11.19 Matters discussed during contacts with a health worker
Among women who had at least one contact with a health worker in the 3 months preceding
the survey, percentage who discussed specific topics with the worker, India, 2019-21
Ever-married,
non-pregnant women
Never Ever-married, Current Current
married pregnant users of non-users of
Topic discussed women women contraception contraception
Family planning 7.6 21.9 23.3 20.5

Immunization 11.8 85.1 54.6 64.7
Antenatal care 2.6 19.2 5.0 8.1
Delivery care 1.6 17.4 5.9 13.2
Birth preparedness 0.7 2.7 1.5 2.5
Complication readiness 0.8 0.5 0.8 0.6
Postnatal care 4.7 9.5 7.1 9.1
Disease prevention 17.8 6.1 13.4 11.2
Medical treatment for self 63.4 23.2 41.6 35.7
Treatment for sick child 6.3 26.7 25.0 24.6
Treatment for other person 29.8 6.9 17.5 13.7
Malaria control 13.1 3.1 9.7 5.2
Supplementary food 9.2 22.5 16.2 15.6
Growth monitoring of child 1.6 14.7 11.0 10.2
Early childhood care 0.6 3.6 2.7 3.0
Preschool education 4.7 5.9 5.6 3.8
Nutrition or health education 18.6 9.8 12.7 10.1
Family life education 9.3 3.8 8.0 5.7
Menstrual hygiene 22.9 2.2 6.2 3.9
Other 15.5 3.2 9.2 7.1
Number of women 29,090 120,627 123,554 57,312
Note: Table includes only women who had contacts with auxiliary nurse midwife (ANM), lady health visitor
(LHV), anganwadi worker (AWW), Accredited Social Health Activist (ASHA), multipurpose worker (MPW),
or other community health worker.
481
Table 11.20 Recent contacts with health workers and visits to a health facility or camp
by state/ union territory
Percentage of women age 15-49 who had any contact with a health worker in the past 3
months and percentage of women and men age 15-49 who visited a health facility or
camp in the past 3 months, by state/union territory, India, 2019-21
Percentage who visited

Percentage of
a health facility or camp
women with any
in the past 3 months
contact with a
State/union territory health worker1 Women Men
India 31.8 14.9 30.0
North
Delhi 22.5 10.2 23.1
Haryana 30.9 14.8 21.1
Ladakh 26.2 22.5 42.2
Punjab 14.8 8.4 30.2
Rajasthan 23.7 11.8 31.7
Central
East
Bihar 25.3 8.5 26.3
Jharkhand 22.8 10.2 23.0
Odisha 49.7 11.4 37.5
West Bengal 37.7 17.2 29.3
Northeast
Assam 34.5 23.2 27.1
Manipur 10.5 4.2 21.4
Meghalaya 28.0 16.8 18.3
Mizoram 12.8 6.7 15.0
Nagaland 13.3 8.0 13.0
Sikkim 24.3 12.8 28.1
Tripura 23.7 9.2 36.0
West
Daman & Diu 46.3 20.3 35.2
Goa 30.4 25.0 40.5
Gujarat 39.8 16.9 18.8
Continued…
482
Table 11.20 Recent contacts with health workers and visits to a health facility or camp
by state/ union territory—Continued
Percentage of women age 15-49 who had any contact with a health worker in the past 3
months and percentage of women and men age 15-49 who visited a health facility or
camp in the past 3 months, by state/union territory, India, 2019-21
Percentage who visited

Percentage of
a health facility or camp
women with any
contact with a
State/union territory health worker1 Women Men
South
Karnataka 54.2 32.7 31.7
Kerala 51.8 11.7 42.8
Tamil Nadu 34.6 22.6 34.7
Telangana 28.7 13.5 41.0
1
Contact with auxiliary nurse midwife (ANM), lady health visitor (LHV), anganwadi worker (AWW),
Accredited Social Health Activist (ASHA), multipurpose worker (MPW), or other community health
worker
483
Table 11.21 Problems in accessing health care
Percentage of women who reported that specific problems are big problems for them in accessing medical advice or treatment for themselves when they are sick, according to background
Big problem in accessing medical advice or treatment: At least one

Getting Getting Finding Concern Concern that Concern that problem in
permission to go money for Distance to Having to someone to that no female no provider no drugs accessing Number
Background characteristic for treatment treatment health facility take transport go with you provider available available available health care of women
Age
15-19 16.5 22.4 24.2 22.7 18.0 34.3 41.4 42.3 61.9 122,544
20-29 14.4 20.8 22.9 21.0 16.9 31.4 39.4 40.6 59.6 236,584
30-39 12.4 21.4 23.3 21.6 16.3 30.5 38.9 40.1 59.1 197,936
40-49 11.4 21.4 22.9 21.4 15.9 29.4 37.6 39.1 58.1 167,051

0 14.5 20.2 22.2 20.7 16.5 31.9 39.3 40.2 59.0 225,702
1-2 12.2 20.4 21.9 20.0 15.5 29.1 37.3 38.5 57.4 315,187
3-4 14.2 23.9 26.3 24.6 18.6 33.5 41.8 43.4 63.1 153,629
5 or more 16.4 28.0 29.3 28.0 21.2 36.7 44.9 46.5 67.0 29,596
484
Residence
Urban 9.4 14.4 13.2 11.5 10.9 24.6 31.8 32.8 48.5 235,279
Rural 15.5 24.7 28.1 26.4 19.5 34.4 42.7 44.1 64.8 488,836
Schooling
No schooling 16.8 29.2 31.0 29.3 22.3 37.2 45.3 46.8 68.3 163,492
<5 years complete 14.4 29.9 28.7 26.5 19.7 34.5 44.6 46.0 67.5 37,549
5-7 years complete 14.4 24.7 26.2 24.3 18.5 33.6 41.9 43.2 63.8 96,806
8-9 years complete 14.8 23.0 24.2 22.4 17.5 33.0 41.8 43.0 62.5 129,094
10-11 years complete 12.3 17.6 20.1 18.4 14.8 29.2 36.4 37.4 55.9 109,777
12 or more years complete 9.8 12.1 15.0 13.6 11.0 23.9 31.3 32.2 48.0 187,396
Marital status
Never married 14.4 20.0 21.9 20.5 16.2 31.7 39.1 40.1 58.7 172,075
Currently married 13.2 21.4 23.5 21.6 16.7 31.1 39.2 40.5 59.6 521,352
Widowed/divorced/
separated/deserted 12.4 29.1 26.0 25.5 20.0 30.7 39.3 40.8 62.4 30,688
Continued…
Table 11.21 Problems in accessing health care—Continued
Percentage of women who reported that specific problems are big problems for them in accessing medical advice or treatment for themselves when they are sick, according to background
Big problem in accessing medical advice or treatment: At least one

Getting Getting Finding Concern Concern that Concern that problem in
permission to go money for Distance to Having to someone to that no female no provider no drugs accessing Number
Background characteristic for treatment treatment health facility take transport go with you provider available available available health care of women
Religion
Hindu 13.4 21.0 23.4 21.8 16.9 31.5 39.7 40.7 59.9 589,164
Muslim 15.3 25.3 23.0 20.6 16.9 32.4 39.7 41.5 60.8 97,595
Christian 8.3 19.7 21.9 20.1 11.6 22.3 29.6 30.5 48.1 16,995
Sikh 11.7 15.0 19.0 17.5 14.9 19.3 21.2 28.6 45.9 11,404
Buddhist/Neo-Buddhist 14.9 15.7 21.4 22.3 17.1 27.8 39.3 39.3 57.5 4,571
Jain 4.9 3.6 6.4 5.5 4.6 21.2 28.2 28.1 39.1 1,632
Other 13.7 26.0 30.5 28.8 19.5 37.2 46.0 48.0 67.0 2,754
Caste/tribe
Scheduled caste 13.9 24.1 24.3 23.1 17.8 31.7 39.5 40.8 61.5 158,483
485
Scheduled tribe 17.0 29.6 33.7 32.5 23.2 39.0 50.4 51.3 70.9 67,263
Other 11.6 18.9 19.4 17.4 13.9 27.3 36.1 37.8 55.0 182,474
Don't know 17.1 30.0 31.2 29.6 22.9 35.2 43.9 45.0 65.6 5,112
Employed in last 12 months1

Not employed 13.8 20.2 21.8 20.4 16.4 31.4 39.2 40.5 58.8 75,121
Employed for cash 12.1 22.9 24.6 23.0 16.8 30.7 38.7 39.0 60.1 27,400
Employed not for cash 14.0 21.6 28.5 25.5 18.9 34.7 43.1 44.0 64.3 5,493
Wealth index
Lowest 20.0 37.5 37.7 36.6 26.7 42.2 52.2 54.3 76.3 133,973
Second 16.3 27.7 29.0 27.3 20.3 35.5 44.3 45.7 67.7 144,813
Middle 13.3 20.6 23.0 21.3 16.3 31.4 38.9 40.0 60.4 148,616
Fourth 10.8 14.6 17.2 15.3 12.6 27.3 34.1 34.8 52.7 150,680
Highest 7.8 8.1 10.7 8.7 8.8 20.7 27.7 28.6 42.0 146,032
Total 13.5 21.4 23.2 21.5 16.7 31.2 39.2 40.4 59.5 724,115
1
Employment information asked of only a sub-sample of women respondents
486
OTHER ADULT HEALTH ISSUES 12
Key Findings
 Prevalence of hypertension: Twenty-one percent of

women and 24 percent of men age 15 and over have
hypertension. Thirty-nine percent of women and 49
percent of men age 15 and over are pre-hypertensive.
 Blood glucose levels: Twelve percent of women and
14 percent of men age 15 and over have random blood
glucose levels greater than 140 mg/dl.
 Screening tests for cancer: Among women age 15-
49, 0.6 percent have had a screening test for breast
cancer,1.2 percent have had a screening test for
cervical cancer, and 0.7 percent have had an oral cavity
screening test.
 Crude death rate: The crude death rate (CDR) for India
is 9 deaths per 1,000 population per year (10 per 1,000
for men and 8 per 1,000 for women). CDRs do not vary
much across states, but they are highest in Odisha,
Tamil Nadu, and Puducherry.
 Age-specific death rates: Age-specific death rates
decrease from 15 deaths per 1,000 population age 0-4
to less than 1 death per 1,000 population age 10-14 and
increase thereafter to a high of 79 deaths per 1,000
population at age 70 and over.
 Cause of death: The proportion of deaths that are due
to non-medical reasons (accidents, violence, poisoning,
homicides, or suicides) is higher among men (11%) than
women (6%). The proportion of deaths due to non-
medical reasons peaks at ages 15-29 for both men and
women, reaching a high (47%) of all deaths for men age
20-29.
N
on-communicable diseases (NCDs) account for 65 percent of all deaths in India. The major metabolic risk
factors for NCDs are obesity, raised blood pressure, raised blood glucose, and raised total cholesterol levels
in the blood. Household surveys that have a strong biomarker component are very important sources of
information on non-communicable diseases and the associated risk factors. In addition to the measurement
of waist and hip circumferences, the 2019-21 NFHS expanded the age range for measurement of blood pressure and
blood glucose. This chapter provides information on the levels of blood pressure and random blood glucose, as well as
health examinations for women and adult mortality.
487
12.1 COVERAGE OF TESTING FOR BLOOD PRESSURE AND RANDOM BLOOD GLUCOSE
MEASUREMENTS
Table 12.1 shows the coverage rates for measuring blood pressure and random blood glucose among eligible women
and men by age group, residence, schooling, religion, caste/tribe, and household wealth. More than 89 percent of
eligible women and 82 percent or more of eligible men age 15 and over had their blood pressure and random blood
glucose measured.
Coverage of testing for blood pressure and random blood glucose is uniformly high in all groups, but coverage is
slightly lower in urban areas than in rural areas for both women and men.
12.2 Blood Pressure

In the 2019-21 NFHS, for the first time the age range for measurement of blood pressure was expanded. The details of
the measurement procedure have already been described in Chapter 1.
Definition: An individual is classified as having hypertension if he/she has a

systolic blood pressure level greater than or equal to 140 mmHg, or a diastolic
blood pressure greater than or equal to 90 mmHg, or he/she is currently taking
antihypertensive medication to lower his/her blood pressure.
Sample: Women and men age 15 and over.
12.2.1 Self-Reports of Blood Pressure Measurement and Medication
Table 12.2 shows data on self-reports of blood pressure measurement and medication among eligible women and men
age 15 and over whose blood pressure was measured in NFHS-5. Sixty-seven percent of women and 54 percent of men
say that their blood pressure was ever measured prior to the survey; 12 percent of women and 9 percent of men say
that on two or more occasions they were told by a doctor or health professional that they have hypertension or high
blood pressure. However, among diagnosed hypertensives only 7% of women and 6% of men are currently taking
medicine to lower their blood pressure.
12.2.2 Blood Pressure Levels and Treatment Status
An individual is classified as having hypertension if that individual has a systolic blood pressure level greater than or
equal to 140 mmHg or a diastolic blood pressure level greater than or equal to 90 mmHg or that individual is currently
taking antihypertensive medication to lower his/her blood pressure.
Based on blood pressure measurement during the survey, 21 percent of women age 15 and over have hypertension,
including 12 percent with mildly elevated blood pressure, 4 percent with moderately elevated blood pressure, and 2
percent with severely elevated blood pressure. Forty-four percent of women have blood pressure within the normal
range. Almost two-fifths (39%) of women are pre-hypertensive. One percent of women are currently taking
antihypertensive medicine and have their blood pressure in the normal range (Table 12.3.1).
The prevalence of hypertension is higher among men age 15 and over than among women age 15 and over. Twenty-
four percent of men age 15 and over have hypertension, including 16 percent with mildly elevated blood pressure, 4
percent with moderately elevate blood pressure, and 2 percent with severely elevated blood pressure. Thirty percent of
men have normal blood pressure and 49 percent are pre-hypertensive. About one percent of men are currently taking
antihypertensive medicine and have their blood pressure in the normal range (Table 12.3.2).
488
 For both women and men, the prevalence of hypertension increases sharply with age. This increase is for all
categories of hypertension, including pre-hypertension, for both women and men. About one-fourth of women and
men age 40-49 have hypertension. Even at an earlier age, one in eight women and about one in five men age 30-
39 have hypertension. (Figure 12.1).
Figure 12.1 Prevalence of Hypertension by Age and Sex

Percentage of women and men age 15 and over
Women Men
56
49 49
40 38 43
36 35
25 28
19
12 13
8.7 6.7
3.3 4.6 4.7
15-19 20-24 25-29 30-39 40-49 50-54 55-59 60-69 70 and over
 The prevalence of hypertension is higher among Sikhs (37% for men and 31% for women), Jains (30% for men
and 25% for women), and Christians (29% for men and 26% for women) than the rest of the religions.
 There is a consistent and steep increase in the prevalence of hypertension with increases in the body mass index
(BMI) for both women and men. Forty percent of obese men and 28 percent of obese women are hypertensive.
 The prevalence of hypertension among women is highest (35%) in Sikkim. The prevalence of hypertension among
men age 15 and over ranges from 15 percent in Dadra & Nagar Haveli and Daman & Diu to 42 percent in Sikkim
(Table 12.4.1 and Table 12.4.2).
 For both women and men, the southern states have a higher prevalence of hypertension than the national average.
12.3 Random Blood Glucose
Definition: An individual is classified as having high blood glucose if he/she

has a random blood glucose level of 141-160 mg/dl and very high blood
glucose if he/she has a random blood glucose level of more than 160 mg/dl.
Sample: Women and men age 15 and over
The age range for measurement of random blood glucose was expanded to age 15 and above in 2019-21 NFHS. The
details of the measurement procedure are discussed in Chapter 1. Random blood glucose is the measurement of blood
glucose at any time without the necessity of fasting before the test.
Six percent of women age 15 and over have a high blood glucose level (141-160 mg/dl), and an additional 6 percent
have a very high blood glucose level (more than 160 mg/dl), for a total of 12 percent of women whose blood glucose
level exceeds 140 mg/dl. The prevalence of high blood glucose is slightly higher among men; 7 percent of men age 15
and over have a high blood glucose level, and an additional 7 percent have a very high blood glucose level, for a total
of 14 percent. One percent of women, as well as men, age 15 and above have a normal blood glucose level and are
taking medicine to lower their blood glucose level (Table 12.5.1 and Table 12.5.2).
489
 The patterns of high blood glucose by background characteristics are quite similar to those for hypertension. For
both women and men, the prevalence of high and very high blood glucose increases sharply with age.
 The combined prevalence of high and very high blood glucose is particularly pronounced among Christian men
(18%) and Christian women (17%).
 There is a slight increase in very high blood glucose prevalence with an increase in household wealth for both
women and men.
 Among the states, the prevalence of high and very high blood glucose (combined) among women age 15 and over
ranges from 6 percent in Ladakh to 21 percent in Kerala. For men, the prevalence ranges from 7 percent each in
Ladakh and Jammu & Kashmir to 22 percent in Goa and 24 percent in Kerala.
12.4 HEALTH EXAMINATIONS FOR CANCER SCREENING

The percentage of women age 15-49 years
who have ever undergone specific Figure 12.2 Cancer Screening for Women
screening tests for cancer (cancer of the Percentage of women age 15-49
cervix, breast, and oral cavity) are presented
in this section (Table 12.7 and Table 12.8).
Overall, only 1.2 percent of women have
1.2
had a cervical examination, 0.6 percent
have had a breast examination, and 0.7
percent have had an examination of the oral 0.7
0.6
cavity (Figure 12.2).
Cervix Breast Oral cavity

 As age increases, the likelihood of undergoing cancer screening increases, particularly for cervical examinations.
The proportion of women undergoing a screening test for cervical cancer increases from just 0.3 percent among
women age 15-19 years to 2 percent among women age 35-49 years.
 The percentage of women with an examination for screening breast cancer increases from 0.1 percent among
women age 15-19 to 0.9 percent among women age 35-49. Older women are slightly more likely to have undergone
an examination of the oral cavity for cancer screening (0.9%) than younger women (0.3%).
 All three types of health examinations are slightly more common in urban areas than in rural areas.
 The level of schooling among women does not make much of a difference for cervix, breast, and oral cavity
examinations for cancer screening.
 Muslim women are slightly less likely than other women to undergo an examination of the cervix (0.8%), and
Muslim and Sikh women are slightly less likely than other women to undergo a breast examination (0.4% each).
Jain women are particularly likely to have undergone screening of the cervix (2.9%) and the oral cavity (3.4%) for
cancer.
 The proportion of women receiving all three types of cancer screening increases steadily with the wealth quintile
of the household, but the prevalence remains low in all wealth quintiles.
 Cervical examinations are particularly common in Tamil Nadu (7%), Puducherry (5%), and Mizoram (4%). The
percentage of oral cavity examinations for cancer screening is highest in Andaman & Nicobar Islands (10%),
followed by Andhra Pradesh (5%) and Telangana (2%) (Table 12.8).
490
12.5 AGE-SPECIFIC DEATH RATES AND CRUDE DEATH RATES
Definition: The crude death rate is the number of persons who were usual
household members who died each year during the two years preceding the
survey per 1,000 usual household members.
Sample: Women and men of all ages
 Age-specific death rates and crude death rates (CDRs) are based on the annual number of deaths reported for the
de jure population during the two years preceding the survey. Rates are specified on a per thousand basis.
 The CDR for India is 9 deaths per 1,000 population (10 per 1,000 for men and 8 per 1,000 for women). The CDR
is higher in rural areas than in urban areas (Table 12.9).
 The age-specific death rate (ASDR) is higher in the 0-4 age group (15 deaths per 1,000 population) than at age 5-
9 (5 deaths per 1,000 population). The ASDR is lowest at age 10-14 (0.6 deaths per 1,000 population) and it
remains low through age 40-44. Thereafter, the ASDR increases steadily to a high of 79 deaths per 1,000
population at age 70 or more. The pattern is similar for women and men in both urban and rural areas.
 The crude death rates (CDR) range from 5 deaths per 1,000 to 11 deaths per 1,000 across states/UTs in India. The
CDR is less than the national average in northeastern, western, and northern states. The CDR in Meghalaya, Jammu
& Kashmir, Dadra & Nagar Haveli and Daman & Diu, Lakshadweep and Nagaland is 5 per 1,000, whereas in
Odisha, Puducherry and Tamil Nadu, the CDR is 11 per 1,000 (Table 12.10).
12.6 ADULT MORTALITY

The percentage of women and men who were usual residents of the household and who died in the two years preceding
the survey by cause of death is presented in Table 12.11. The proportion of deaths due to non-medical reasons (i.e.,
deaths due to accidents, violence, poisoning, homicides, or suicides) is higher among men (11%) than women (6%).
The proportion of deaths due to non-medical reasons is particularly high for men age 15-19 and 20-29 (42% and 47%,
respectively) and women age 15-19 and 20-29 (31% and 21%, respectively).
491
LIST OF TABLES
For more information on other adult health issues, see the following tables:
Tables
Table 12.1 Coverage of testing for blood pressure and random blood glucose measurements
Table 12.2 Self-reports of blood pressure measurement and medication
Table 12.3.1 Blood pressure levels and treatment status: Women
Table 12.3.2 Blood pressure levels and treatment status: Men
Table 12.4.1 Blood pressure levels and treatment status by state/union territory: Women
Table 12.4.2 Blood pressure levels and treatment status by state/union territory: Men
Table 12.5.1 Random blood glucose levels: Women
Table 12.5.2 Random blood glucose levels: Men
Table 12.6.1 Random blood glucose levels by state/union territory: Women
Table 12.6.2 Random blood glucose levels by state/union territory: Men
Table 12.7 Screening tests for cancer
Table 12.8 Screening tests for cancer by state/union territory
Table 12.9 Age-specific death rates and crude death rates
Table 12.10 Crude death rates by state/union territory
Table 12.11 Adult mortality
Table 12.12 Adult mortality by state/union territory
492
Table 12.1 Coverage of testing for blood pressure and random blood glucose measurements
Percentage of eligible women and men age 15 and over whose blood pressure and random blood glucose was measured,
according to selected background characteristics (unweighted), India, 2019-21
Women Men
Percentage Percentage Percentage Percentage

measured measured for measured measured for
for blood random blood Number of for blood random blood Number of
Background characteristic pressure glucose women pressure glucose men
Age
15-19 90.6 89.8 130,051 81.2 80.7 128,514
20-24 89.7 88.9 128,874 79.9 79.3 114,638
25-29 90.7 89.9 125,594 80.1 79.3 111,858
30-39 92.1 90.9 208,049 82.3 81.1 196,594
40-49 92.6 90.7 173,238 84.3 82.2 164,840
50-54 91.8 88.6 70,343 85.5 82.9 67,192
55-59 92.3 88.7 69,818 86.6 83.5 61,500
60-69 92.1 87.3 104,461 88.8 85.2 106,348
70 and over 90.8 84.1 59,458 89.4 84.9 61,404
Residence
Urban 88.3 86.1 346,786 79.3 77.4 342,864
Rural 93.0 91.0 723,099 85.7 84.0 670,022
Schooling
No schooling 92.3 89.0 353,998 85.6 83.2 159,588
<5 years complete 94.0 91.6 72,773 88.7 86.2 72,552
5-7 years complete 92.8 90.9 138,469 85.1 83.1 141,079
8-9 years complete 92.6 91.3 153,296 83.7 82.2 185,036
10-11 years complete 91.0 89.7 134,084 83.1 81.5 167,617
12 or more years complete 88.0 86.7 216,719 80.5 79.1 286,016
Don't know 72.1 69.2 546 67.5 64.8 999

Hindu 92.0 90.0 872,727 84.3 82.6 828,922
Muslim 89.3 86.7 137,606 79.4 77.8 127,536
Christian 92.0 89.4 27,590 86.5 84.1 24,768
Sikh 85.4 82.2 17,614 73.3 70.5 18,160
Buddhist/Neo-Buddhist 89.8 87.9 7,395 86.1 83.8 7,004
Jain 76.2 74.6 2,960 68.8 66.8 2,874
Other 92.1 90.0 3,992 87.7 85.9 3,622

Scheduled caste 92.4 90.4 242,645 84.4 82.7 228,570
Scheduled tribe 93.0 91.1 101,980 87.6 85.9 95,938
Other backward class 91.7 89.6 464,202 83.9 82.1 435,558
Other 89.7 87.4 251,352 80.9 79.1 243,716
Don't know 86.8 84.1 9,706 71.4 69.3 9,104
Wealth quintile
Lowest 92.9 90.8 199,352 85.2 83.6 177,022
Second 93.5 91.4 210,169 86.0 84.4 194,368
Middle 93.1 91.0 215,646 85.9 84.1 206,306
Fourth 91.9 89.8 219,459 84.1 82.2 212,613
Highest 86.4 84.2 225,258 77.4 75.4 222,578
Total age 15 and over 91.5 89.4 1,069,885 83.6 81.8 1,012,886
Total age 15-49 91.3 90.2 765,805 81.8 80.7 716,443
493
Table 12.2 Self-reports of blood pressure measurement and medication
Among eligible women and men age 15 and over whose blood pressure was measured in NFHS-5, percentage who say that their blood pressure was
ever measured prior to the survey, percentage who say that on two or more occasions they were told by a doctor or health professional that they have
hypertension or high blood pressure, and percentage who are currently taking medicine to lower their blood pressure, India, 2019-21
Prior blood pressure measurement and blood pressure Women Number of Men Number of Total Number of
medication consumption Percentage women Percentage men Percentage women and men
Have ever had their blood pressure measured 67.0 978,742 53.7 846,285 60.8 1,825,027
Have on two or more occasions been told by a doctor or

health professional that they have hypertension or high
blood pressure 11.7 978,742 8.5 846,285 10.2 1,825,027
Are currently taking medicine to lower high blood pressure 7.4 978,742 5.6 846,285 6.6 1,825,027
494
Table 12.3.1 Blood pressure levels and treatment status: Women
Among women age 15 and over, prevalence of hypertension, percent distribution of women by blood pressure levels, and percentage having normal blood pressure and taking medicine to lower their
blood pressure, according to background characteristics, India, 2019-21
Normal Pre-hypertensive Hypertensive

Percentage with
Mildly elevated: Moderately elevated: Severely elevated: normal blood
SBP <120 SBP 120-139 SBP 140-159 SBP 160-179 SBP ≥180 pressure and taking
Prevalence mmHg and DBP mmHg or DBP mmHg or DBP mmHg or DBP mmHg or DBP medicine to lower Number of
Background characteristic of hypertension1 <80 mmHg 80-89 mmHg 90-99 mmHg 100-109 mmHg ≥110 mmHg their blood pressure women
Age
15-19 3.3 74.7 22.9 2.0 0.2 0.2 0.7 117,766
20-24 4.7 67.8 28.7 3.0 0.3 0.2 0.8 115,591
25-29 6.7 60.2 34.5 4.4 0.6 0.3 0.8 113,974
30-39 12.9 46.4 42.4 8.9 1.6 0.7 0.7 191,650
40-49 25.0 32.0 46.4 16.0 4.0 1.5 1.1 160,499
50-54 36.0 23.3 46.9 21.2 6.0 2.6 1.5 64,609
55-59 40.1 21.2 45.6 23.0 7.0 3.2 1.7 64,472
60-69 48.7 17.7 42.6 25.7 9.5 4.4 2.1 96,195
70 and over 56.3 15.8 38.5 27.3 11.9 6.5 2.6 53,987
495
Residence
Urban 23.6 41.7 39.5 13.6 3.6 1.6 1.4 306,367
Rural 20.2 44.9 38.0 11.9 3.5 1.7 1.1 672,375
Schooling
No schooling 31.0 30.8 42.5 17.9 5.9 2.9 1.2 326,621
<5 years complete 28.7 35.7 41.2 16.2 4.8 2.1 1.6 68,425
5-7 years complete 22.2 42.1 39.9 13.0 3.5 1.5 1.4 128,444
8-9 years complete 14.2 53.7 34.9 8.5 2.0 0.8 1.1 141,989
10-11 years complete 14.2 54.8 34.1 8.4 1.9 0.8 1.1 122,055
Don't know 30.8 33.0 42.2 18.9 3.8 2.0 1.2 394
Continued…
Table 12.3.1 Blood pressure levels and treatment status: Women—Continued

Percentage with

Hindu 21.0 44.2 38.4 12.3 3.5 1.6 1.1 802,810
Muslim 20.7 43.8 39.3 12.0 3.3 1.5 1.3 122,930
Christian 26.3 42.9 36.8 13.8 4.3 2.2 1.9 25,376
Sikh 30.8 33.7 39.9 18.2 5.4 2.9 1.3 15,048
Jain 24.7 37.8 44.3 13.8 2.8 1.4 1.4 2,257
Other 19.8 40.5 41.9 12.4 3.2 2.0 0.7 3,678

Scheduled caste 19.5 46.0 37.3 11.6 3.4 1.6 1.0 224,230
496
Scheduled tribe 19.8 41.9 40.5 12.3 3.5 1.7 0.7 94,862
Other 24.0 41.0 39.9 13.6 3.8 1.7 1.4 225,533
Don't know 22.5 45.0 36.6 12.2 4.4 1.8 1.5 8,422
Nutritional status
Thin (BMI <18.5) 5.9 70.2 25.2 3.7 0.6 0.3 0.9 128,193
Normal (BMI 18.5-24.9) 9.5 55.0 37.1 6.3 1.2 0.5 0.8 404,165
Overweight (BMI 25.0-29.9) 19.3 39.7 43.5 12.9 2.8 1.1 0.9 121,792
Obese (BMI ≥30.0) 28.0 31.5 44.9 17.4 4.6 1.6 1.2 43,441
Respondent not measured 45.1 19.7 43.4 24.3 8.5 4.1 2.0 281,150
Continued…
Table 12.3.1 Blood pressure levels and treatment status: Women—Continued
Normal Pre-hypertensive Hypertensive Percentage with

Told by a doctor or health professional

that she has hypertension or high
blood pressure2
Yes 69.5 21.8 34.8 25.8 11.5 6.1 7.3 114,245
No 14.9 46.8 39.0 10.7 2.5 1.0 0.4 864,496
Wealth quintile
Lowest 18.5 46.1 37.6 11.1 3.4 1.8 0.9 185,246
Second 19.1 46.4 37.2 11.4 3.4 1.6 1.0 196,429
Middle 21.0 44.6 37.8 12.3 3.7 1.7 1.1 200,688
Fourth 22.6 42.9 38.8 13.2 3.7 1.5 1.3 201,766
Highest 24.9 39.5 41.1 14.2 3.7 1.6 1.5 194,612
497
Total age 15 and over 21.3 43.9 38.5 12.4 3.6 1.6 1.2 978,742
Total age 15-49 11.7 53.6 36.5 7.7 1.6 0.6 0.8 699,479
SBP = Systolic blood pressure, the degree of force when the heart is pumping (contracting); DBP = Diastolic blood pressure, the degree of force when the heart is relaxed
BMI = Body mass index in kg/m2
1 A woman is classified as having hypertension if she has SBP ≥140 mmHg or DBP ≥90 mmHg at the time of the survey, or she is currently taking medicine to lower her blood pressure.
2
Told two or more times.
Table 12.3.2 Blood pressure levels and treatment status: Men
Among men age 15 and over, prevalence of hypertension, percent distribution of men by blood pressure levels, and percentage having normal blood pressure and taking medicine to lower
their blood pressure, according to background characteristics, India, 2019-21

normal blood
Mildly elevated: Moderately elevated: Severely elevated: pressure and
SBP <120 SBP 120-139 SBP 140-159 SBP 160-179 SBP ≥180 taking medicine
Prevalence mmHg and DBP mmHg or DBP mmHg or DBP mmHg or DBP mmHg or DBP to lower their Number of
Background characteristic of hypertension1 <80 mmHg 80-89 mmHg 90-99 mmHg 100-109 mmHg ≥110 mmHg blood pressure men
Age
15-19 4.6 58.3 37.8 3.5 0.3 0.2 0.4 104,382
20-24 8.7 42.0 50.0 6.9 0.7 0.3 0.4 91,554
25-29 12.4 34.0 54.4 9.8 1.4 0.4 0.3 89,581
30-39 19.3 26.6 55.2 14.3 2.8 1.1 0.3 161,741
40-49 28.4 21.1 52.6 19.3 5.0 2.0 0.5 138,952
50-54 35.2 18.8 49.5 22.9 6.1 2.7 0.8 57,425
55-59 37.8 18.2 48.6 23.6 6.6 3.0 1.1 53,247
60-69 43.2 18.2 45.2 25.2 7.9 3.5 1.5 94,479
70 and over 49.4 18.0 41.5 26.4 9.5 4.5 2.2 54,924
498
Residence
Urban 26.6 26.8 50.1 17.1 4.2 1.7 0.8 271,986
Rural 22.7 30.8 48.7 15.0 3.8 1.7 0.6 574,300
Schooling
No schooling 29.2 25.0 48.4 19.0 5.2 2.4 0.7 136,617
<5 years complete 29.5 26.4 47.5 18.3 5.4 2.5 0.9 64,361
5-7 years complete 26.1 28.0 48.7 16.8 4.5 2.0 0.7 120,064
8-9 years complete 20.4 33.9 47.6 13.7 3.3 1.5 0.6 154,874
10-11 years complete 22.6 32.2 48.0 14.6 3.6 1.5 0.7 139,334
Don't know 31.8 24.7 49.5 19.1 4.6 2.2 3.7 675
Continued…
Table 12.3.2 Blood pressure levels and treatment status: Men—Continued
Percentage with
normal blood

Hindu 24.0 29.5 49.1 15.7 4.0 1.7 0.7 699,058
Muslim 21.2 31.1 50.3 13.9 3.2 1.4 0.7 101,306
Christian 29.0 28.1 47.3 17.8 4.7 2.0 1.1 21,430
Sikh 37.0 17.5 47.8 23.5 7.8 3.4 0.5 13,308
Jain 30.1 25.4 48.4 19.6 4.9 1.7 0.5 1,977
Other 23.0 24.5 53.8 15.6 4.1 2.0 0.2 3,175
499
Scheduled caste 22.6 30.4 49.1 15.0 3.8 1.7 0.6 192,994
Scheduled tribe 22.3 29.0 50.1 15.4 3.7 1.7 0.4 84,027
Other 26.4 27.5 49.8 16.8 4.2 1.8 0.9 197,243
Don't know 22.1 31.8 48.7 13.9 3.7 2.0 0.5 6,496
Nutritional status
Thin (BMI <18.5) 8.1 56.9 35.7 6.0 1.0 0.4 0.2 14,652
Normal (BMI 18.5-24.9) 15.8 32.9 52.4 11.7 2.2 0.8 0.3 58,491
Overweight (BMI 25.0-29.9) 30.0 16.9 55.0 20.9 5.3 1.8 0.3 18,173
Obese (BMI ≥30.0) 39.6 14.8 49.4 25.5 7.8 2.5 1.2 3,800
Respondent not measured 24.7 29.1 49.0 16.0 4.1 1.8 0.7 751,170
Continued…
Table 12.3.2 Blood pressure levels and treatment status: Men—Continued

normal blood
Wealth quintile
Lowest 19.5 34.1 47.9 13.3 3.2 1.5 0.5 150,821
Second 20.7 32.4 48.7 13.9 3.5 1.6 0.5 167,111
Middle 23.1 30.2 48.9 15.3 3.9 1.7 0.6 177,183
Fourth 26.2 27.2 49.8 16.9 4.3 1.8 0.8 178,789
Highest 29.7 24.3 50.4 18.7 4.7 1.9 1.0 172,381
Total age 15 and over 24.0 29.5 49.2 15.7 3.9 1.7 0.7 846,285
Total age 15-49 16.1 34.5 50.5 11.7 2.3 0.9 0.4 586,210
500
BMI = Body mass index in kg/m2
1
A man is classified as having hypertension if he has SBP ≥140 mmHg or DBP ≥90 mmHg at time of survey, or he is currently taking medicine to lower his blood pressure.
Table 12.4.1 Blood pressure levels and treatment status by state/union territory: Women
Among women age 15 and over, prevalence of hypertension, percent distribution of women by blood pressure levels, and percentage having normal blood pressure and taking medicine
to lower their blood pressure, according to state/union territory, India, 2019-21

Prevalence mmHg and DBP mmHg or DBP mmHg or DBP mmHg or DBP mmHg or DBP medicine to lower
State/union territory of hypertension1 <80 mmHg 80-89 mmHg 90-99 mmHg 100-109 mmHg ≥110 mmHg their blood pressure
India 21.3 43.9 38.5 12.4 3.6 1.6 1.2
North
Chandigarh 25.0 44.4 35.6 14.5 3.7 1.9 1.5
Delhi 24.1 39.2 40.2 14.7 4.1 1.8 0.9
Haryana 21.0 39.6 42.7 12.3 3.6 1.9 1.0
Jammu & Kashmir 20.0 29.4 55.9 11.7 2.1 1.0 0.8
Ladakh 15.7 27.3 60.7 10.4 1.2 0.4 0.4
Punjab 31.2 34.0 38.9 18.5 5.6 3.0 1.1
Rajasthan 15.3 40.6 46.3 9.8 2.2 1.0 0.7
501
Uttarakhand 22.9 39.3 40.8 13.7 4.2 2.1 0.6
Central
Chhattisgarh 23.6 38.1 40.3 14.8 4.5 2.3 0.7
Madhya Pradesh 20.6 42.0 39.6 13.2 3.5 1.7 0.8
Uttar Pradesh 18.3 43.1 40.4 11.5 3.2 1.7 0.7
East
Bihar 15.9 56.2 31.5 8.7 2.5 1.2 1.7
Jharkhand 17.8 42.3 41.7 11.1 3.2 1.8 0.6
Odisha 22.4 43.2 38.2 12.9 3.8 1.8 1.1
West Bengal 20.5 44.6 38.5 11.5 3.8 1.5 1.1
Continued…
Table 12.4.1 Blood pressure levels and treatment status by state/union territory: Women—Continued
Among women age 15 and over, prevalence of hypertension, percent distribution of women by blood pressure levels, and percentage having normal blood pressure and taking medicine

Prevalence mmHg and DBP mmHg or DBP mmHg or DBP mmHg or DBP mmHg or DBP medicine to lower
State/union territory of hypertension1 <80 mmHg 80-89 mmHg 90-99 mmHg 100-109 mmHg ≥110 mmHg their blood pressure
Northeast
Assam 19.1 45.1 39.2 10.9 3.3 1.5 1.1
Manipur 23.0 41.2 39.4 13.5 4.3 1.6 1.0
Meghalaya 18.7 47.0 39.2 10.0 2.7 1.2 2.2
Mizoram 17.7 48.3 37.8 10.7 2.6 0.6 1.4
Nagaland 22.3 35.4 43.3 13.8 4.4 3.2 0.3
Sikkim 34.5 30.4 39.3 18.5 6.5 5.3 1.9
Tripura 20.8 46.8 37.2 11.0 3.3 1.7 1.5
West
502
Daman & Diu 14.9 45.8 42.6 7.7 2.7 1.2 1.1
Goa 27.5 45.6 38.7 12.1 2.6 1.0 3.3
Gujarat 20.5 45.2 38.5 11.7 3.2 1.3 1.3
Maharashtra 23.1 42.0 39.3 13.7 3.5 1.5 1.3
South
Andhra Pradesh 25.3 47.3 33.2 13.6 4.3 1.7 1.7
Karnataka 25.0 42.8 36.3 14.8 4.2 1.9 1.1
Kerala 30.9 41.5 36.4 15.5 4.8 1.8 2.5
Lakshadweep 24.8 39.6 40.0 13.9 4.2 2.3 0.9
Puducherry 23.0 50.5 33.4 12.1 3.0 1.0 2.1
Tamil Nadu 24.8 44.6 34.9 14.3 4.3 1.9 1.2
Telangana 26.1 46.6 33.5 13.6 4.5 1.8 2.0
1
A woman is classified as having hypertension if she has SBP >=140 mmHg or DBP ≥90 mmHg at the time of the survey, or she is currently taking medicine to lower her blood pressure.
Table 12.4.2 Blood pressure levels and treatment status by state/union territory: Men
Among men age 15 and over, prevalence of hypertension, percent distribution of men by blood pressure levels, and percentage having normal blood pressure and taking medicine

Prevalence SBP <120 mmHg SBP 120-139 SBP 140-159 SBP 160-179 SBP ≥180 pressure and taking
of and DBP mmHg or DBP mmHg or DBP mmHg or DBP mmHg or DBP medicine to lower
State/union territory hypertension1 <80 mmHg 80-89 mmHg 90-99 mmHg 100-109 mmHg ≥110 mmHg their blood pressure
India 24.0 29.5 49.2 15.7 3.9 1.7 0.7
North
Chandigarh 30.6 27.1 45.6 18.6 7.2 1.5 0.5
Delhi 32.7 19.6 49.9 21.8 6.2 2.5 0.5
Haryana 25.1 22.3 54.2 16.6 4.7 2.3 0.4
Jammu & Kashmir 18.9 24.7 60.3 12.3 1.8 1.0 0.5
Ladakh 17.4 25.2 61.3 11.2 1.6 0.7 0.3
Punjab 37.7 18.0 46.6 24.5 7.6 3.4 0.5
Rajasthan 17.9 27.0 56.7 12.7 2.5 1.1 0.3
503
Uttarakhand 31.8 21.9 48.5 20.1 5.8 3.7 0.5
Central
Chhattisgarh 27.7 24.6 48.9 19.0 4.9 2.5 0.3
Madhya Pradesh 22.7 29.7 49.0 16.0 3.6 1.7 0.3
Uttar Pradesh 21.7 28.2 51.4 15.2 3.6 1.6 0.3
East
Bihar 18.4 40.5 44.0 11.1 3.1 1.2 1.0
Jharkhand 22.6 25.1 53.7 15.1 4.0 2.1 0.4
Odisha 25.6 28.1 49.0 16.8 4.3 1.8 0.7
West Bengal 20.1 31.9 50.9 13.0 3.1 1.1 0.7
Continued…
Table 12.4.2 Blood pressure levels and treatment status by state/union territory: Men—Continued
Among men age 15 and over, prevalence of hypertension, percent distribution of men by blood pressure levels, and percentage having normal blood pressure and taking medicine

Prevalence SBP <120 mmHg SBP 120-139 SBP 140-159 SBP 160-179 SBP ≥180 pressure and taking
of and DBP mmHg or DBP mmHg or DBP mmHg or DBP mmHg or DBP medicine to lower
State/union territory hypertension1 <80 mmHg 80-89 mmHg 90-99 mmHg 100-109 mmHg ≥110 mmHg their blood pressure
Northeast
Assam 20.3 33.5 49.3 12.8 3.2 1.2 0.8
Manipur 33.2 20.5 49.4 20.8 7.1 2.2 0.5
Meghalaya 21.4 32.6 49.4 14.2 2.8 1.0 0.9
Mizoram 25.2 26.0 52.4 16.2 3.9 1.4 0.9
Nagaland 28.7 22.3 49.8 19.1 5.7 3.1 0.2
Sikkim 41.6 18.7 42.5 25.0 8.0 5.9 0.8
Tripura 22.7 33.9 47.5 13.4 3.4 1.8 0.9
West
504
Daman & Diu 15.4 29.1 57.4 9.8 2.8 0.9 0.2
Goa 26.8 27.3 53.2 14.8 3.5 1.2 2.2
Gujarat 20.3 35.4 47.1 13.0 3.3 1.2 0.8
Maharashtra 24.4 30.4 48.4 16.0 3.7 1.6 0.8
South
Andhra Pradesh 29.0 30.3 45.1 17.6 4.9 2.2 1.2
Karnataka 26.9 28.6 47.5 17.2 4.7 2.0 0.8
Kerala 32.8 27.3 46.9 19.2 4.8 1.9 1.7
Lakshadweep 24.7 23.5 54.7 16.6 3.5 1.6 0.3
Puducherry 30.1 28.3 46.2 19.1 4.4 2.0 0.8
Tamil Nadu 30.2 26.6 46.5 19.5 5.2 2.2 0.8
Telangana 31.4 30.0 43.4 18.5 5.7 2.4 1.4
1
A man is classified as having hypertension if he has SBP ≥140 mmHg or DBP ≥90 mmHg at time of survey, or he is currently taking medicine to lower his blood pressure.
Table 12.5.1 Random blood glucose levels: Women
Among women age 15 and over, percent distribution of women by random blood glucose levels, percentage having normal blood glucose levels
and taking medicine to lower their blood glucose level, and percentage having blood glucose levels ≤140 mg/dl and taking medicine to lower
their blood glucose level, by background characteristics, India, 2019-21
Percentage with Percentage with

normal blood >140 mg/dl blood
Random blood glucose values
glucose levels and glucose levels or
≤140 141-160 >160 taking medicine to taking medicine to
mg/dl mg/dl mg/dl lower their blood lower their blood Number of
Background characteristic (normal) (high) (very high) Total glucose level glucose level women
Age
15-19 97.4 1.8 0.7 100.0 0.4 3.0 116,721
20-24 96.7 2.3 1.0 100.0 0.4 3.8 114,581
25-29 95.3 3.1 1.6 100.0 0.6 5.2 112,883
30-39 91.6 4.8 3.5 100.0 0.6 8.9 189,152
40-49 84.9 7.3 7.8 100.0 1.0 16.1 157,178
50-54 77.8 10.0 12.2 100.0 1.9 24.1 62,350
55-59 75.7 10.8 13.5 100.0 2.1 26.4 61,957
60-69 73.4 11.4 15.3 100.0 2.9 29.5 91,246
70 and over 73.2 12.5 14.4 100.0 3.1 30.0 50,003
Residence
Urban 85.4 6.7 8.0 100.0 1.6 16.3 298,410
Rural 88.7 5.9 5.5 100.0 0.9 12.3 657,663
Schooling
No schooling 83.9 8.0 8.2 100.0 1.3 17.4 314,922
<5 years complete 82.6 8.2 9.2 100.0 1.7 19.1 66,666
5-7 years complete 86.3 6.4 7.3 100.0 1.3 15.1 125,857
8-9 years complete 90.7 4.7 4.6 100.0 1.0 10.3 140,033
10-11 years complete 90.6 4.6 4.8 100.0 1.0 10.4 120,257
Don't know 82.3 5.7 12.0 100.0 0.9 18.6 378

Hindu 87.8 6.1 6.1 100.0 1.1 13.3 785,319
Muslim 87.4 6.0 6.5 100.0 1.2 13.8 119,314
Christian 83.0 7.1 9.9 100.0 2.2 19.2 24,665
Sikh 86.4 5.8 7.8 100.0 1.0 14.6 14,471
Jain 83.7 8.6 7.8 100.0 1.1 17.5 2,209
Other 91.3 5.5 3.2 100.0 0.8 9.5 3,595

Scheduled caste 88.6 5.8 5.6 100.0 1.0 12.3 219,349
Scheduled tribe 90.7 5.3 4.0 100.0 0.7 10.0 92,898
Other 85.8 6.8 7.4 100.0 1.4 15.7 219,761
Don't know 86.6 7.0 6.4 100.0 1.5 14.9 8,159
Continued…
505
Table 12.5.1 Random blood glucose levels: Women—Continued
Among women age 15 and over, percent distribution of women by random blood glucose levels, percentage having normal blood glucose levels
their blood glucose level, by background characteristics, India, 2019-21

Random blood glucose values glucose levels and glucose levels or
mg/dl mg/dl mg/dl lower their blood lower their blood Number of
Background characteristic (normal) (high) (very high) Total glucose level glucose level women
Wealth quintile
Lowest 90.0 5.8 4.2 100.0 0.6 10.6 180,967
Second 89.4 5.7 4.9 100.0 0.8 11.5 192,104
Middle 87.9 5.9 6.1 100.0 1.1 13.1 196,280
Fourth 86.2 6.3 7.5 100.0 1.3 15.1 197,152
Highest 84.8 6.8 8.4 100.0 1.8 17.1 189,570
Nutritional status
Thin (BMI <18.5) 96.0 2.7 1.3 100.0 0.4 4.4 127,023
Normal (BMI 18.5-24.9) 94.0 3.7 2.2 100.0 0.5 6.5 399,874
Overweight (BMI 25.0-29.9) 87.8 6.0 6.2 100.0 0.8 13.0 119,410
Obese (BMI ≥30.0) 81.1 8.0 10.8 100.0 1.3 20.2 42,419
Respondent not measured 75.0 11.1 13.9 100.0 2.5 27.5 267,347
Total age 15 and over 87.6 6.1 6.3 100.0 1.1 13.5 956,073
Total age 15-49 92.5 4.2 3.3 100.0 0.6 8.1 690,515
506
Table 12.5.2 Random blood glucose levels: Men
Among men age 15 and over, percent distribution of men by random blood glucose levels and percentage having normal blood glucose
levels and taking medicine to lower their blood glucose level, and percentage having blood glucose levels ≤140 mg/dl and taking medicine
to lower their blood glucose level, by background characteristics, India, 2019-21

normal blood >140 mg/dl
glucose levels blood glucose
and taking levels or taking
Random blood glucose values medicine to medicine to
≤140 141-160 >160 lower their lower their
mg/dl mg/dl mg/dl blood glucose blood glucose Number of
Background characteristic (normal) (high) (very high) Total level level men
Age
15-19 97.3 2.0 0.7 100.0 0.5 3.2 103,703
20-24 95.9 3.0 1.1 100.0 0.4 4.5 90,867
25-29 93.9 4.1 2.0 100.0 0.5 6.6 88,759
30-39 89.3 6.2 4.6 100.0 0.6 11.3 159,400
40-49 82.6 8.7 8.8 100.0 1.1 18.5 135,567
50-54 77.0 10.7 12.3 100.0 1.7 24.7 55,685
55-59 74.2 11.9 13.9 100.0 2.1 27.9 51,361
60-69 71.9 12.5 15.6 100.0 2.5 30.6 90,626
70 and over 70.9 13.2 15.9 100.0 3.2 32.2 52,114
Residence
Urban 83.6 7.8 8.5 100.0 1.5 17.8 265,324
Rural 86.5 7.0 6.5 100.0 1.0 14.5 562,758
Schooling
No schooling 82.4 9.7 7.9 100.0 1.0 18.6 132,731
<5 years complete 81.4 9.1 9.5 100.0 1.4 20.0 62,563
5-7 years complete 84.1 7.8 8.1 100.0 1.2 17.1 117,286
8-9 years complete 87.8 6.2 6.0 100.0 1.0 13.2 152,064
10-11 years complete 86.2 6.5 7.2 100.0 1.3 15.1 136,615
Don't know 79.4 12.5 8.1 100.0 1.7 22.3 647

Hindu 85.6 7.2 7.2 100.0 1.1 15.5 684,371
Muslim 85.6 7.7 6.7 100.0 1.1 15.5 99,183
Christian 82.0 8.2 9.8 100.0 2.4 20.4 20,828
Sikh 86.6 6.4 6.9 100.0 0.8 14.2 12,799
Jain 84.7 7.0 8.2 100.0 2.0 17.3 1,920
Other 87.4 7.2 5.5 100.0 0.9 13.5 3,110

Scheduled caste 86.6 7.0 6.4 100.0 1.0 14.4 189,120
Scheduled tribe 88.5 6.5 5.0 100.0 0.7 12.2 82,395
Other 83.7 7.9 8.4 100.0 1.5 17.8 192,676
Don't know 82.8 9.3 7.8 100.0 1.1 18.3 6,310
Continued…
507
Table 12.5.2 Random blood glucose levels: Men—Continued
Among men age 15 and over, percent distribution of men by random blood glucose levels and percentage having normal blood glucose
to lower their blood glucose level, by background characteristics, India, 2019-21

normal blood >140 mg/dl
glucose levels blood glucose
and taking levels or taking
medicine to medicine to
≤140 141-160 >160 lower their lower their
mg/dl mg/dl mg/dl blood glucose blood glucose Number of
Background characteristic (normal) (high) (very high) Total level level men
Wealth quintile
Lowest 87.8 7.2 5.0 100.0 0.7 12.9 148,018
Second 87.4 7.0 5.6 100.0 0.8 13.4 163,964
Middle 86.1 7.0 6.9 100.0 1.0 14.9 173,566
Fourth 84.5 7.3 8.2 100.0 1.3 16.9 174,719
Highest 82.4 7.9 9.7 100.0 1.9 19.5 167,815
Nutritional status
Thin (BMI <18.5) 94.5 3.2 2.3 100.0 0.7 6.1 14,524
Normal (BMI 18.5-24.9) 90.6 5.5 4.0 100.0 0.7 10.1 57,804
Overweight (BMI 25.0-29.9) 82.7 8.1 9.2 100.0 1.1 18.4 17,753
Obese (BMI ≥30.0) 76.6 8.9 14.5 100.0 1.4 24.7 3,692
Respondent not measured 85.1 7.5 7.4 100.0 1.2 16.1 734,308
Total age 15 and over 85.6 7.3 7.1 100.0 1.2 15.6 828,082
Total age 15-49 90.9 5.2 3.9 100.0 0.6 9.8 578,295
508
Table 12.6.1 Random blood glucose levels by state/union territory: Women
Among women age 15 and over, percent distribution of women by random blood glucose levels and percentage having normal blood glucose
to lower their blood glucose level, by state/union territory, India, 2019-21

mg/dl mg/dl mg/dl lower their blood lower their blood
State/union territory (normal) (high) (very high) Total glucose level glucose level
India 87.6 6.1 6.3 100.0 1.1 13.5
North
Chandigarh 82.0 6.0 12.0 100.0 1.0 19.0
Delhi 89.5 4.2 6.3 100.0 1.7 12.2
Haryana 88.9 5.4 5.7 100.0 0.9 11.9
Jammu & Kashmir 92.7 4.2 3.1 100.0 1.4 8.7
Ladakh 94.3 3.9 1.8 100.0 1.0 6.7
Punjab 86.2 5.8 8.0 100.0 1.0 14.7
Rajasthan 93.4 3.9 2.8 100.0 0.6 7.2
Uttarakhand 90.2 4.2 5.6 100.0 1.0 10.8
Central
Chhattisgarh 91.7 4.5 3.8 100.0 0.7 9.0
Madhya Pradesh 90.8 5.3 3.9 100.0 0.7 9.8
Uttar Pradesh 90.7 4.7 4.5 100.0 0.7 10.0
East
Bihar 88.2 6.4 5.4 100.0 0.9 12.7
Jharkhand 90.4 5.4 4.2 100.0 0.6 10.2
Odisha 86.9 6.5 6.6 100.0 0.8 14.0
West Bengal 83.4 8.9 7.7 100.0 0.9 17.5
Northeast
Assam 88.2 6.9 4.9 100.0 1.0 12.8
Manipur 87.6 6.2 6.3 100.0 1.2 13.6
Meghalaya 92.0 5.0 3.0 100.0 1.5 9.5
Mizoram 87.4 6.9 5.7 100.0 1.2 13.8
Nagaland 91.0 5.2 3.8 100.0 0.2 9.3
Sikkim 89.1 6.2 4.7 100.0 1.3 12.2
Tripura 83.3 8.8 8.0 100.0 0.9 17.7
West
Daman & Diu 87.5 6.6 5.9 100.0 1.1 13.6
Goa 81.8 8.6 9.6 100.0 2.6 20.8
Gujarat 85.2 8.1 6.7 100.0 1.0 15.8
Maharashtra 89.0 5.7 5.4 100.0 1.3 12.4
South
Andhra Pradesh 82.3 7.3 10.4 100.0 1.8 19.5
Karnataka 87.4 5.7 6.8 100.0 1.4 14.0
Kerala 78.7 8.3 13.1 100.0 3.5 24.8
Lakshadweep 81.7 8.4 9.9 100.0 1.3 19.5
Puducherry 82.7 7.2 10.1 100.0 2.8 20.1
Tamil Nadu 81.4 7.5 11.1 100.0 2.0 20.7
Telangana 87.1 5.8 7.0 100.0 1.9 14.7
509
Table 12.6.2 Random blood glucose levels by state/union territory: Men
Among men age 15 and over, percent distribution of men by random blood glucose levels and percentage having normal blood glucose levels
their blood glucose level, by state/union territory, India, 2019-21

mg/dl mg/dl mg/dl lower their blood lower their blood
State/union territory (normal) (high) (very high) Total glucose level glucose level
India 85.6 7.3 7.1 100.0 1.2 15.6
North
Chandigarh 84.1 7.1 8.8 100.0 0.7 16.6
Delhi 87.4 5.3 7.3 100.0 1.5 14.1
Haryana 87.4 6.4 6.2 100.0 0.9 13.5
Jammu & Kashmir 93.0 4.3 2.7 100.0 1.0 8.0
Ladakh 93.1 4.4 2.5 100.0 1.4 8.3
Punjab 86.8 6.2 7.0 100.0 0.8 14.1
Rajasthan 91.7 5.0 3.3 100.0 0.6 8.9
Uttarakhand 86.8 5.6 7.6 100.0 1.1 14.2
Central
Chhattisgarh 90.2 5.4 4.4 100.0 1.0 10.8
Madhya Pradesh 88.5 6.6 4.9 100.0 0.7 12.2
Uttar Pradesh 89.2 5.8 5.0 100.0 0.7 11.6
East
Bihar 84.7 8.3 7.0 100.0 1.0 16.2
Jharkhand 86.7 6.9 6.4 100.0 0.8 14.1
Odisha 84.0 7.3 8.7 100.0 1.0 17.0
West Bengal 79.7 10.8 9.5 100.0 1.0 21.3
Northeast
Assam 85.4 8.4 6.2 100.0 1.4 16.0
Manipur 84.7 7.0 8.3 100.0 1.2 16.5
Meghalaya 87.2 8.6 4.2 100.0 1.1 13.9
Mizoram 86.2 7.8 6.0 100.0 1.7 15.4
Nagaland 88.0 6.6 5.5 100.0 0.4 12.4
Sikkim 85.6 7.5 7.0 100.0 1.3 15.7
Tripura 81.8 9.3 8.9 100.0 1.1 19.3
West
Daman & Diu 84.4 8.0 7.7 100.0 0.7 16.4
Goa 78.1 10.3 11.6 100.0 2.3 24.1
Gujarat 84.0 9.0 7.1 100.0 0.9 16.9
Maharashtra 87.6 6.5 5.9 100.0 1.2 13.6
South
Andhra Pradesh 80.2 8.4 11.4 100.0 2.0 21.8
Karnataka 85.7 6.6 7.6 100.0 1.3 15.6
Kerala 76.4 9.8 13.8 100.0 3.4 27.0
Lakshadweep 81.7 10.2 8.1 100.0 2.4 20.7
Puducherry 80.9 7.0 12.2 100.0 2.6 21.7
Tamil Nadu 80.0 8.1 11.9 100.0 2.0 22.1
Telangana 83.8 6.9 9.3 100.0 1.9 18.1
510
Table 12.7 Screening tests for cancer
Percentage of women age 15-49 who have ever undergone specific screening tests for cancer, and percentage of
men age 15-49 who have ever undergone an oral cavity screening test for oral cancer, by background
Oral cavity
Type of examination undergone Number of screening Number of
Background characteristic Cervix Breast Oral cavity women test for men men
Age
15-19 0.3 0.1 0.3 130,051 0.1 128,514
20-24 0.7 0.3 0.5 128,874 0.1 114,638
25-34 1.2 0.6 0.7 231,294 0.2 212,379
35-49 2.0 0.9 0.9 275,586 0.2 260,912
Residence
Urban 1.5 0.8 0.9 247,667 0.2 245,833
Rural 1.1 0.4 0.6 518,138 0.2 470,610
Schooling
No schooling 1.2 0.4 0.7 163,891 0.2 68,412
<5 years complete 1.6 0.7 0.7 44,490 0.2 38,137
5-7 years complete 1.5 0.6 0.8 104,137 0.2 94,067
8-9 years complete 1.1 0.5 0.6 136,239 0.2 149,572
10-11 years complete 1.2 0.5 0.6 117,324 0.1 128,736
12 or more years complete 1.2 0.7 0.7 199,392 0.2 237,061
Don't know 2.4 1.2 1.0 332 0.0 458

Hindu 1.3 0.6 0.7 619,897 0.2 582,358
Muslim 0.8 0.4 0.6 105,650 0.2 95,531
Christian 2.4 0.9 1.5 18,346 0.4 16,607
Sikh 1.8 0.4 0.5 12,081 0.1 12,576
Buddhist/Neo-Buddhist 2.1 1.4 1.4 5,058 0.0 4,897
Jain 2.9 2.2 3.4 1,867 0.0 1,803
Other 0.4 0.2 0.3 2,906 0.1 2,670

Scheduled caste 1.4 0.6 0.6 179,505 0.2 167,405
Scheduled tribe 0.6 0.3 0.4 75,234 0.1 70,355
Other 1.0 0.4 0.8 172,844 0.2 165,608
Don't know 0.8 0.2 0.3 7,025 0.2 6,692
Wealth quintile
Lowest 0.7 0.3 0.4 142,184 0.2 124,732
Second 1.0 0.4 0.5 152,969 0.1 139,889
Middle 1.4 0.6 0.8 156,697 0.2 148,969
Fourth 1.5 0.6 0.9 158,695 0.2 152,394
Highest 1.5 0.8 0.9 155,260 0.2 150,459
Total 1.2 0.6 0.7 765,805 0.2 716,443
Note: The questions on screening tests for cancer were asked in the biomarker questionnaire, so they include some
respondents who were eligible for the biomarker questionnaire, but who may not have completed the individual
women’s or men’s questionnaire.
511
Table 12.8 Screening tests for cancer by state/union territory
Percentage of women age 15-49 who have ever undergone specific screening tests for cancer, and
percentage of men age 15-49 who have ever undergone an oral cavity screening test for oral cancer,
by state/union territory, India, 2019-21
Oral cavity
Type of examination undergone screening
State/union territory Cervix Breast Oral cavity test for men
India 1.2 0.6 0.7 0.2
North
Chandigarh 0.9 0.0 0.2 0.1
Delhi 0.4 0.2 0.7 0.1
Haryana 0.5 0.2 0.3 0.2
Jammu & Kashmir 0.3 0.2 0.6 0.1
Ladakh 0.2 0.2 0.1 0.0
Punjab 1.9 0.3 0.4 0.1
Rajasthan 0.3 0.1 0.2 0.1
Uttarakhand 0.3 0.1 0.3 0.1
Central
Uttar Pradesh 1.0 0.3 0.6 0.2
East
Bihar 0.5 0.2 0.3 0.2
Jharkhand 0.4 0.1 0.2 0.1
Odisha 0.7 0.1 0.2 0.1
West Bengal 0.1 0.1 0.1 0.1
Northeast
Assam 0.2 0.2 0.2 0.3
Manipur 1.3 1.0 0.6 0.1
Meghalaya 0.4 0.3 0.4 0.1
Mizoram 3.8 1.6 0.7 0.1
Nagaland 0.2 0.2 0.3 0.1
Sikkim 0.5 0.2 0.6 0.3
Tripura 0.4 0.3 0.4 0.0
West
Dadra & Nagar Haveli and Daman & Diu 0.4 0.1 0.1 0.1
Goa 0.9 1.0 0.5 0.3
Gujarat 0.2 0.1 0.2 0.1
Maharashtra 1.7 1.0 1.0 0.1
South
Karnataka 0.5 0.2 0.4 0.1
Kerala 2.3 1.5 0.5 0.1
Lakshadweep 1.2 0.3 0.2 0.1
Puducherry 5.3 2.9 1.2 0.2
Tamil Nadu 7.0 3.8 0.9 0.2
Telangana 2.1 0.3 1.8 0.4
Note: The questions on screening tests for cancer were asked in the biomarker questionnaire, so they
include some respondents who were eligible for the biomarker questionnaire, but who may not have
completed the individual women’s or men’s questionnaire.
512
Table 12.9 Age-specific death rates and crude death rates
Age-specific death rates and crude death rates (CDR) for the 2 years
preceding the survey by sex and residence, India, 2019-21
Age Male Female Total

URBAN
0-4 14.6 10.2 12.5
5-9 5.0 4.1 4.6
10-14 0.5 0.4 0.5
15-19 0.8 0.9 0.8
20-24 1.4 1.1 1.3
25-29 1.7 1.0 1.3
30-34 2.1 1.0 1.6
35-39 3.4 1.1 2.2
40-44 5.5 2.0 3.7
45-49 5.9 2.8 4.3
50-54 10.2 5.4 7.8
55-59 16.2 5.9 10.7
60-64 15.0 12.6 13.8
65-69 23.6 19.5 21.6
70 and over 71.1 72.6 71.8
CDR 8.6 6.6 7.6

RURAL
0-4 17.3 13.8 15.6
5-9 5.5 4.8 5.1
10-14 0.7 0.6 0.7
15-19 1.5 1.5 1.5
20-24 2.3 1.8 2.1
25-29 2.8 1.5 2.1
30-34 3.4 1.6 2.4
35-39 4.3 1.8 3.0
40-44 4.9 2.5 3.7
45-49 7.3 3.9 5.5
50-54 9.4 5.7 7.5
55-59 13.1 8.0 10.4
60-64 18.4 11.7 15.0
65-69 27.4 21.5 24.5
70 and over 82.9 81.0 81.9
CDR 10.4 7.9 9.1

TOTAL
0-4 16.6 12.8 14.8
5-9 5.3 4.6 5.0
10-14 0.6 0.6 0.6
15-19 1.2 1.3 1.3
20-24 2.0 1.6 1.8
25-29 2.4 1.3 1.8
30-34 2.9 1.4 2.1
35-39 4.0 1.5 2.7
40-44 5.1 2.3 3.7
45-49 6.8 3.5 5.1
50-54 9.7 5.6 7.6
55-59 14.1 7.3 10.5
60-64 17.3 12.0 14.7
65-69 26.2 20.8 23.6
70 and over 79.3 78.4 78.8
CDR 9.8 7.5 8.6

Note: Age-specific death rates and crude death rates (CDR) are based on the
annual number of deaths reported for the de jure population during the 2 years
preceding the survey. Rates are specified on a per thousand basis.
513
Table 12.10 Crude death rates by state/union territory
Crude death rates (CDR) for the 2 years preceding the survey by state/union
Residence
India 7.6 9.1 8.6
North
Delhi 6.7 7.7 6.7
Haryana 7.2 8.6 8.2
Ladakh 7.1 5.1 5.5
Punjab 8.6 8.9 8.8
Central
East
Bihar 7.2 9.3 9.0
Odisha 10.4 11.0 10.9
Northeast
Assam 7.5 6.8 6.9
Manipur 8.5 8.3 8.4
Mizoram 6.2 4.8 5.6
Sikkim 4.6 7.4 6.3
Tripura 7.5 8.3 8.1
West
Daman & Diu 4.9 4.8 4.9
Goa 5.3 6.6 5.9
Gujarat 5.9 8.9 7.6
South
Kerala 7.0 8.2 7.6
Tamil Nadu 9.7 11.6 10.7
Note: Crude death rates (CDR) are based on the annual number of deaths reported
for the de jure population during the 2 years preceding the survey. Rates are specified
on a per thousand basis.
514
Table 12.11 Adult mortality
Percentage of women and men who were usual residents and who died in the 2 years preceding the survey by cause of
death, according to background characteristics, India, 2019-21
Women Men
Deaths due to Deaths due Deaths due to Deaths due
non-medical to other Number of non-medical to other Number of
Background characteristic reasons1 reasons women reasons1 reasons men
Age at time of death

<15 7.9 92.1 4,031 11.3 88.7 5,403
15-19 31.2 68.8 331 42.2 57.8 316
20-29 20.5 79.5 705 47.0 53.0 983
30-39 17.5 82.5 595 29.6 70.4 1,335
40-49 9.3 90.7 1,005 19.4 80.6 1,955
50-59 7.4 92.6 1,780 11.2 88.8 3,022
60-69 4.3 95.7 3,219 7.2 92.8 4,464
70 and over 2.6 97.4 9,182 3.8 96.2 9,711
Residence
Urban 5.9 94.1 5,731 10.2 89.8 7,695
Rural 6.2 93.8 15,116 11.4 88.6 19,494
Schooling of household head

No schooling 6.3 93.7 5,536 12.2 87.8 9,079
<5 years complete 5.5 94.5 2,067 11.7 88.3 2,546
5-7 years complete 6.2 93.8 3,545 12.8 87.2 4,221
8-9 years complete 6.8 93.2 3,379 10.3 89.7 4,129
10-11 years complete 6.3 93.7 2,733 10.0 90.0 3,078
Don't know 0.0 100.0 20 19.5 80.5 18

Hindu 6.2 93.8 17,406 11.1 88.9 22,675
Muslim 5.7 94.3 2,309 10.1 89.9 3,026
Christian 5.6 94.4 545 13.3 86.7 698
Sikh 3.7 96.3 340 10.2 89.8 458
Buddhist/Neo-Buddhist 9.3 90.7 128 19.9 80.1 159
Jain 2.5 97.5 32 8.7 91.3 53
Other 3.2 96.8 88 6.5 93.5 119

Scheduled caste 6.1 93.9 5,053 11.1 88.9 6,657
Scheduled tribe 7.5 92.5 1,767 13.1 86.9 2,607
Other 5.6 94.4 4,711 9.5 90.5 5,970
Don't know 7.6 92.4 208 13.9 86.1 229
Wealth quintile
Lowest 6.6 93.4 4,469 12.2 87.8 6,021
Second 6.0 94.0 4,494 12.1 87.9 6,072
Middle 6.6 93.4 4,211 11.0 89.0 5,555
Fourth 6.1 93.9 3,995 10.8 89.2 5,049
Highest 5.1 94.9 3,677 8.6 91.4 4,492
Total 6.1 93.9 20,847 11.1 88.9 27,189

1
Deaths due to accidents, violence, poisoning, homicides, or suicides
515
Table 12.12 Adult mortality by state/union territory
Percent distribution of women and men who were usual residents and who died in the 2 years
preceding the survey by cause of death, according to state/union territory, India, 2019-21
Women Men
Deaths due to Deaths due Deaths due to Deaths due
non-medical to other non-medical to other
State/union territory reasons1 reasons reasons1 reasons
India 6.1 93.9 11.1 88.9
North
Chandigarh 0.0 100.0 3.1 96.9
Delhi 4.2 95.8 6.4 93.6
Haryana 4.5 95.5 10.6 89.4
Jammu & Kashmir 10.5 89.5 13.8 86.2
Ladakh 18.3 81.7 12.4 87.6
Punjab 3.7 96.3 9.1 90.9
Rajasthan 4.3 95.7 8.8 91.2
Uttarakhand 4.7 95.3 11.1 88.9
Central
Chhattisgarh 6.8 93.2 11.9 88.1
Madhya Pradesh 5.3 94.7 12.6 87.4
Uttar Pradesh 5.4 94.6 9.7 90.3
East
Bihar 4.1 95.9 7.7 92.3
Jharkhand 3.3 96.7 7.5 92.5
Odisha 4.7 95.3 8.5 91.5
West Bengal 8.6 91.4 10.7 89.3
Northeast
Assam 9.3 90.7 15.2 84.8
Manipur 1.4 98.6 9.8 90.2
Meghalaya 7.9 92.1 9.4 90.6
Mizoram 3.6 96.4 8.3 91.7
Nagaland 1.3 98.7 9.6 90.4
Sikkim 7.3 92.7 14.3 85.7
Tripura 6.8 93.2 10.8 89.2
West
Daman & Diu 14.7 85.3 18.4 81.6
Goa 6.8 93.2 9.4 90.6
Gujarat 7.2 92.8 10.9 89.1
Maharashtra 7.1 92.9 11.3 88.7
South
Andhra Pradesh 8.8 91.2 16.9 83.1
Karnataka 5.0 95.0 10.5 89.5
Kerala 5.3 94.7 7.9 92.1
Lakshadweep 0.0 100.0 0.0 100.0
Puducherry 10.3 89.7 13.4 86.6
Tamil Nadu 6.9 93.1 14.4 85.6
Telangana 13.1 86.9 24.5 75.5
1
Death due to accident, violence, poisoning, homicide or suicide
516
HIV/AIDS-RELATED KNOWLEDGE,
ATTITUDES, AND BEHAVIOUR 13
Key Findings
 Comprehensive knowledge of HIV/AIDS: One-fifth (22%) of

women and nearly one-third of men (31%) age 15-49 in India
have comprehensive knowledge of HIV/AIDS.
 Knowledge of mother-to-child transmission of HIV:
Seventy-three percent of women and 72 percent of men know
that HIV can be transmitted during pregnancy; 70 percent of
women and 68 percent of men know that HIV can be
transmitted during delivery; and 69 percent of women and 62
percent of men know that HIV can be transmitted by
breastfeeding.
 Coverage of prior HIV testing: Fifty-seven percent of women
and 70 percent of men age 15-49 know where to obtain an HIV
test. Twenty-one percent of women and 9 percent of men were
tested for HIV prior to the survey.
 Coverage of HIV testing during antenatal care (ANC) or
labour: Thirty-six percent of women who gave birth in the past
2 years had an HIV test during ANC or labour and received the
test results.
 Prevalence of sexually transmitted infections (STIs):
Twelve percent of women and 9 percent of men age 15-49 who
have ever had sex reported having an STI and/or symptoms of
an STI in the 12 months preceding the survey.
 Comprehensive knowledge of HIV/AIDS among youth:
Twenty percent of young women and 29 percent of young men
age 15-24 have a comprehensive knowledge of HIV.
 Premarital sex among youth: Two percent of never-married
women and 7 percent of never-married men age 15-24 have
ever had sexual intercourse in the last 12 months
 Higher-risk sex among youth: Thirty-nine percent of men age
15-24 who had sexual intercourse in the last 12 months had
higher-risk intercourse (sex with a non-marital, non-
cohabitating partner) in the 12 months preceding the survey,
compared with 2 percent of women age 15-24.
S tarted in 1992, India’s National AIDS Control Programme (NACP) has taken a comprehensive approach to the
prevention and control of HIV/AIDS in India. Currently in its fourth round, key priorities of the programme
now include the prevention of new infections; the provision of comprehensive care, support, and treatment for
persons living with HIV; prevention of parent-to-child transmission; awareness-raising; reduction of stigma and
discrimination; and demand generation for HIV services, particularly among women and youth.
This chapter presents findings from NFHS-5 on the current levels of HIV/AIDS knowledge and attitudes, prior HIV
testing, and the prevalence of sexually transmitted infections (STIs), as well as sexual behaviour of the adult and youth
population. Questions on HIV/AIDS were included only in the subsample of households selected for the state module.
517
13.1 HIV/AIDS KNOWLEDGE, TRANSMISSION, AND PREVENTION METHODS
In India, 87 percent of women and 94 percent of men have heard of HIV or AIDS (Table 13.1). Seventy-four percent
of women and 88 percent of men in the lowest wealth quintile have heard of HIV or AIDS, compared with 96 percent
of women and 98 percent of men in the highest wealth quintile (Figure 13.1). However, only 68 percent of women
and 82 percent of men age 15-49 know that using condoms consistently can reduce the risk of getting HIV/AIDS.
Seventy-one percent of women and 78 percent of men age 15-49 know that limiting sexual intercourse to one uninfected
partner who has no other partners can reduce the risk of HIV/AIDS. Overall, 60 percent of women and 71 percent of
men know that both consistent condom use and only having sex with one uninfected partner can prevent HIV/AIDS
(Table 13.2).
Figure 13.1 Knowledge of HIV or AIDS by Household Wealth

Women Men
97 96 98
93 95 93
88 89
83
74
Poorest Wealthiest
Seventy-four percent of women and 78 percent of men say that people can get HIV/AIDS from blood products or blood
transfusions. Seventy-four percent of women and 77 percent of men say that people can get HIV/AIDS by injecting
drugs.
Trends: Since NFHS-4, knowledge of HIV/AIDS has increased more among women than men. For women,
knowledge increased by 12 percentage points from 76 percent in NFHS-4, and for men, it increased by 5 percentage
points from 89 percent in NFHS-4. Similarly, knowledge that condoms, if used consistently and limiting sexual
intercourse to one uninfected partner who has no other partners can prevent HIV/AIDS has also increased, and the
increase is greater for women (from 47% in NFHS-4 to 60%), than for men (from 69% in NFHS-4 to 71%).
 Knowledge of HIV or AIDS increases sharply with schooling for both women and men, from 76 percent among
women and 86 percent among men with no schooling to 97-99 percent among women and men with 12 or more
years of schooling. Similarly, knowledge that condoms if used consistently and limiting sexual intercourse to one
uninfected partner who has no other partners can prevent HIV/AIDS increases from 47 percent among women and
56 percent among men with no schooling to 75 percent among women and 80 percent among men with 12 or more
years of schooling (Table 13.2).
 Knowledge of HIV or AIDS, as well as ways of preventing HIV/AIDS, also increases with wealth. The percentage
who have heard of HIV or AIDS increases from 76 percent for women and 86 percent for men who have no
schooling to 97 percent women and 99 percent of men with 12 or more year of schooling complete. Forty-six
percent of women and 60 percent of men in the lowest wealth quintile know the two methods of prevention,
compared with 75 percent of women and 81 percent of men in the highest wealth quintile.
518
Figure 13.2 Comprehensive Knowledge of HIV/AIDS by Schooling
Women Men
43
33 34
26 25
22
19
17 15 17 17
12

schooling complete complete complete complete years complete
 Knowledge of HIV or AIDS varies greatly by state. The percentage of women who know about HIV or AIDS
ranges from only 74 percent of women in Dadra & Nagar Haveli and Daman & Diu to 99 percent in Manipur, Goa
and Kerala. For men, knowledge ranges from 84 percent in Meghalaya to 100 percent in Goa and Manipur. Around
half (54%) of women in Meghalaya and over three-fifths (63%) of men in Meghalaya and 65 percent of men in
Andaman & Nicobar Islands know that HIV/AIDS can be prevented by using condoms (Table 13.5).
13.2 COMPREHENSIVE KNOWLEDGE
Comprehensive knowledge of HIV/AIDS

Knowing that consistent use of condoms during sexual intercourse and having
just one uninfected faithful partner can reduce the chances of getting HIV/AIDS,
knowing that a healthy-looking person can have HIV/AIDS, and rejecting two
common misconceptions about transmission or prevention of HIV/AIDS.
Fifty-four percent of women and 64 percent of men know that HIV/AIDS cannot be transmitted by mosquito bites; 45
percent of women and 59 percent of men know that HIV/AIDS cannot be spread by sharing food with a person who
has AIDS; and two-thirds of women (67%) and 71 percent of men know that a healthy looking person can have
HIV/AIDS.
About one-fifth of women (22%) and nearly one-third of men (31%) have comprehensive knowledge of HIV/AIDS
(Table 13.3.1 and Table 13.3.2).
Trends: Comprehensive knowledge of HIV/AIDS has been more or less stagnant for both women and men since
NFHS-4.
 Comprehensive knowledge is higher in urban than in rural areas. Twenty-nine percent of women and 37 percent
of men in urban areas have comprehensive knowledge about HIV/AIDS, compared with 18 percent of women and
27 percent of men in rural areas (Table 13.3.1 and Table 13.3.2).
 Comprehensive knowledge about HIV/AIDS increases sharply with schooling (Figure 13.2) and wealth; however,
there is no subgroup of women, except Jain women, in which more than 34 percent have comprehensive
knowledge. Among Jain women, 47 percent have comprehensive knowledge. Among men, there is no subgroup
in which more than 45 percent have comprehensive knowledge, with the exception of men belonging to other
religions (57%) and Jains (64%).
 The percentage of women and men who have comprehensive knowledge of HIV/AIDS varies greatly by state. For
women, comprehensive knowledge is highest in Mizoram (64%) and lowest in Bihar, Arunachal Pradesh and Uttar
Pradesh (10-13%). For men, comprehensive knowledge is highest in Goa (67%) and lowest in West Bengal and
Meghalaya (16% each) (Table 13.5).
519
 The percentage of women and men who know that HIV/AIDS can be prevented by using condoms varies greatly
by state (Figure 13.3.1 and Figure 13.3.2).
Figure 13.3.1 Women’s Knowledge of Condom Figure 13.3.2 Men’s Knowledge of Condom Use
Use for HIV/AIDS Prevention by State/UT for HIV/AIDS Prevention by State/UT
Percentage of women age 15-49 Percentage of men age 15-49
Mizoram 91 Goa 98
Goa 90 Lakshadweep 96
Manipur 88 Mizoram 95
Delhi 82 Manipur 94
Karnataka 79 Delhi 93
Puducherry 79 Uttarakhand 91
Tamil Nadu 78 Rajasthan 91
Himachal Pradesh 77 Puducherry 90
Andaman & Nicobar Islands 76 Tamil Nadu 90
Chhattisgarh 76 Haryana 89
Lakshadweep 75 Karnataka 88
Rajasthan 75 Odisha 87
Kerala 74 Punjab 86
Ladakh 74 Himachal Pradesh 85
Uttarakhand 74 Tripura 85
Chandigarh 72 Chandigarh 85
Sikkim 72 Assam 85
Maharashtra 72 Chhattisgarh 85
Odisha 72 Kerala 85
Assam 72 Maharashtra 85
Haryana 71 Sikkim 84
Telangana 69 Andhra Pradesh 83
INDIA 68 Gujarat 83
Punjab 68 INDIA 82
Gujarat 67 Jharkhand 81
Jharkhand 66 Ladakh 80
Jammu & Kashmir 65 Bihar 80
Madhya Pradesh 65 Dadra & Nagar Haveli and Daman & Diu 79
Uttar Pradesh 65 Madhya Pradesh 79
Dadra & Nagar Haveli and… 64 Uttar Pradesh 78
Andhra Pradesh 63 Arunachal Pradesh 78
Arunachal Pradesh 62 Telangana 75
Nagaland 61 Jammu & Kashmir 75
West Bengal 60 West Bengal 73
Tripura 60 Nagaland 69
Bihar 57 Andaman & Nicobar Islands 65
Meghalaya 54 Meghalaya 63
13.3 KNOWLEDGE ABOUT MOTHER-TO-CHILD TRANSMISSION

Increasing the level of general knowledge about transmission of HIV/AIDS from mother to child and reducing the risk
of transmission using antiretroviral drugs are critical to reducing mother-to-child transmission (MTCT) of HIV/AIDS.
To assess MTCT knowledge, respondents were asked whether HIV can be transmitted from a mother to her child
during pregnancy, during delivery, and by breastfeeding. Women were also asked if a mother with HIV can reduce the
risk of transmission to her baby by taking certain drugs during pregnancy.
Seventy-three percent of women know that HIV/AIDS can be transmitted during pregnancy, 70 percent know that it
can be transmitted during delivery, and 69 percent know that it can be transmitted by breastfeeding (Table 13.4).
Among men, 72 percent know that HIV/AIDS can be transmitted during pregnancy, 68 percent know that it can be
transmitted during delivery, and 62 percent know that it can be transmitted by breastfeeding. Overall, 62 percent of
women and 54 percent of men know all three modes of mother-to-child transmission of HIV/AIDS.
More than half of women (51%) and almost half of men (46%) know that HIV/AIDS can be transmitted from a mother
to her baby and that the risk of transmission can be reduced by the mother taking special drugs.
 Knowledge of the three modes of MTCT varies greatly by schooling, wealth, and religion. Across all women and
men, knowledge is lowest for women belonging to the lowest wealth quintile (53%) and is lowest for men without
schooling (47%), and is highest among women with 12 or more years of schooling (70%), women belonging to
the Buddhist/Neo-Buddhist religion (70%) and Jain men (67%) (Table 13.4).
 Knowledge of MTCT varies across states. Women are least likely to know about the three modes of MTCT in
Sikkim (42%), and Meghalaya and Dadra & Nagar Haveli and Daman & Diu (47% each), and most likely to know
them in Karnataka (80%), and Goa (81%). Men are least likely to know about the three modes of MTCT in
Andaman & Nicobar Islands (21%), Dadra & Nagar Haveli and Daman & Diu (34%) and Meghalaya (39%) and
most likely to know them in Karnataka (70%) and Nagaland (74%) (Table 13.5).
520
13.4 ACCEPTING ATTITUDES TOWARD PEOPLE LIVING WITH HIV
Accepting attitudes toward people living with HIV/AIDS

Respondents with accepting attitudes toward people living with HIV/AIDS are
those who know about HIV/AIDS and agree with each of the seven following
statements: a) they would care for a relative with HIV/AIDS in their own home;
b) they would buy fresh vegetables from a shopkeeper or vendor who has
HIV/AIDS; c) a female teacher who has HIV/AIDS but is not sick should be
allowed to continue teaching in the school; d) they would not want to keep it
secret that a family member got infected with HIV/AIDS; e) they would allow an
HIV positive student to attend school with students who are HIV negative; f) they
think that people living with HIV should be treated in the same public hospital
with patients who are HIV negative; and g) they think that people living with HIV
should be allowed to work in the same office with people who are HIV negative.
Sample: Women and men age 15-49 who know about HIV/AIDS
Widespread stigma and discrimination in a population can adversely affect both people’s willingness to be tested and
their adherence to antiretroviral therapy (ART) if needed. Thus, the reduction of stigma and discrimination in a
population is an important indicator of the success of any programme targeting HIV/AIDS prevention and control.
A majority of both women and men agree with each of the different statements. Agreement varies for women from a
low of 61 percent of women who agree that they would not want to keep secret that a family member was infected with
HIV/AIDS to 71 percent each agreeing that a female teacher who has HIV/AIDS but is not sick should be allowed to
continue teaching and they are willing to care for a relative with HIV/AIDS in their own home.
For men, agreement ranges from 59 percent who say that they would not want to keep secret that a family member got
infected with HIV/AIDS to 76 percent who agree that a female teacher who has HIV/AIDS but is not sick should be
allowed to continue teaching. Overall, however, only 23 percent of women and 24 percent of men express accepting
attitudes toward people living with HIV/AIDS based on agreement with all seven specified statements (Table 13.6).
Figure 13.4 Discriminatory Attitudes toward People

Living with HIV/AIDS
Percentage of women and men age 15-49 who have heard of HIV or AIDS
Women Men
73
69 68
64
Would buy fresh vegetables from a Would allow an HIV positive student to
shopkeeper or vendor who has attend school with students who are
HIV/AIDS HIV negative
About the same percentage of women (65-69%) and men (65-73%) agree that they would allow an HIV positive student
to attend school with students who are HIV negative, that people living with HIV should be treated in the same public
hospital with patients who are HIV negative, and that people living with HIV should be allowed to work in the same
office with people who are HIV negative. However, 64 percent of women, compared with 69 percent of men, say that
would buy fresh vegetables from a shopkeeper or vendor who has HIV/AIDS (Figure 13.4).
 Accepting attitudes toward persons with HIV/AIDS based on agreement with each of the separate seven statements
shows lower acceptance in rural than urban areas, except that a higher proportion of both women and men in rural
areas than urban areas say that they would not want to keep secret that a family member was infected with
521
HIV/AIDS. Agreement with all seven statements, however, does not vary much by residence for women (22-25%)
and men (23-26%) (Table 13.6).
 Accepting attitudes based on all seven statements vary greatly by state. For women, agreement with all seven
statements varies from 7 percent in Meghalaya, 8 percent in Telangana, and 9 percent in Puducherry to 50 percent
in Manipur (Table 13.7.1). For men, it ranges from 5 percent in Andhra Pradesh, 10 percent in Meghalaya, and 11
percent in Telangana to 60 percent in Manipur (Table 13.7.2).
13.5 ATTITUDES TOWARD NEGOTIATING SEX WITH HUSBAND

Being able to negotiate safe sex is critical to the prevention of HIV/AIDS and other sexually transmitted infections. In
NFHS-5, women and men age 15-49 were asked if a wife is justified in refusing to have sexual intercourse with her
husband if he has a sexually transmitted disease. Men were also asked if a wife is justified in asking her husband that
they use a condom when they have sex if the husband has a sexually transmitted disease.
Eighty-seven percent of women and 83 percent of men age 15-49 agree that a wife is justified in refusing to have sex
with her husband if he has a sexually transmitted disease. In addition, 87 percent of men agree that a wife is justified
in asking her husband to use a condom if he has a sexually transmitted disease. Overall, 92 percent of men say that if
a husband has a sexually transmitted disease, a wife can refuse to have sex with him or can request that they use a
condom (Table 13.8).
 There is very little variation by most background characteristics in women’s and men’s attitudes toward wives
negotiating safer sex with their husbands (Table 13.8).
 Among women, agreement that a wife is justified in refusing to have sex with her husband if he has a sexually
transmitted disease varies from a low of 70 percent in Arunachal Pradesh to a high of 96 percent in Delhi (Table
13.9).
 Sixty percent of men in Meghalaya, compared with 99 percent of men in Goa, agree that if a husband has a sexually
transmitted disease, his wife is justified in asking that they use a condom.
 Men’s agreement with either of the two statements varies similarly from a low of 63 percent in Meghalaya, 88
percent each in Telangana, and Kerala to a high of 100 percent in Goa.
13.6 MULTIPLE SEXUAL PARTNERS
Higher-risk sexual intercourse

Sexual intercourse with a partner who was neither a spouse nor who lived with
the respondent.
Sample: Women and men age 15-49 who have had sexual intercourse in the
12 months preceding the survey
Having multiple sexual partners or having sex with a person who is neither a spouse nor a live-in partner can put
women and men at higher risk of HIV/AIDS. In India, among those who had sexual intercourse in the 12 months
preceding the survey, less than 1 percent (0.3%) of women and 1 percent of men reported having more than one sexual
partner in the past 12 months, and less than 1 percent (0.5%) of women and 4 percent of men had intercourse in the
past 12 months with a person who was neither their spouse or lived with them (Table 13.10.1 and Table 13.10.2).
Among women and men who had higher-risk sexual intercourse in the past 12 months, 57 percent of women and 60
percent of men reported use of a condom at last higher-risk sex. On average, women who have ever had sex have had
1.7 lifetime sexual partners and men who ever had sex have had 2.1 lifetime sexual partners.
 Among women and men who had sex in the past 12 months, never married women and men are more likely than
those who are currently married or formerly married to have intercourse in the past 12 months with a person who
was neither their husband nor lived with them (Table 13.10.1 and Table 13.10.2).
522
 Women and men who had sex in the past 12 months and were away from home for one month or more at a time
in the past 12 months are more likely to have multiple partners than those who have not been away from home for
one or more months (0.8% versus 0.3% for women; 2.6% versus 1% for men).
 Among women and men who had higher-risk sexual intercourse in the past 12 months, the use of a condom the
last time they had higher-risk sex is much higher among those with 10 or more years of schooling than those with
no schooling, as well as for men between those in the highest wealth quintile than those in the lowest wealth
quintile.
 The percentage of men who had intercourse in the past 12 months with a person who was neither their wife nor
lived with them among those who had sex in the past 12 months decreases with age from 6 percent among men
age 15-24 to 1 percent among men age 40-49.
 Notably, 0.6 percent of men age 15-19 who had sex in the past 12 months had multiple sex partners and 4 percent
had intercourse in the past 12 months with a person who was neither their wife nor lived with them. These
proportions rises to 2 percent and 9 percent among men age 20-24.
 Two percent of men in Arunachal Pradesh, Himachal Pradesh, Punjab, Rajasthan, Jharkhand, Maharashtra,
Telangana, Andhra Pradesh, Madhya Pradesh, Puducherry, Andaman & Nicobar Islands, and Delhi reported
having more than one sexual partner in the past 12 months. The percentages were much lower in all other states
(Table 13.11).
13.7 PAID SEX

Sexual intercourse undertaken for payment is most often at high risk of getting sexually transmitted diseases and limits
the possibility for negotiating safe sex. Two percent of men age 15-49 in India say that they paid for sexual intercourse
in the 12 months preceding the survey. About half (51%) of men who reported paying for sex in the past 12 months
reported using a condom during their last paid sexual intercourse (Table 13.12).
 Men who are divorced, separated, deserted, or widowed are more likely to have paid for sex (5%) in the 12 months
preceding the survey than men who are never married (2%) or currently married (1%) (Table 13.12).
 Men who were away from home for one month or more at a time in the past 12 months are more likely than men
staying at home to have paid for sex in the past 12 months (3% versus 1%).
13.8 COVERAGE OF HIV TESTING SERVICES

Knowledge of HIV status helps HIV negative individuals make decisions to reduce risk and increase safer sex practices
in order to remain disease free. Among those who are living with HIV, knowledge of HIV status allows them to take
action to protect their sexual partners, access care, and receive treatment.
13.8.1 Awareness of HIV Testing Services and Experience with HIV Testing
Fifty-seven percent of women and 70 percent of men in India know where to obtain an HIV test. Women are about
twice as likely as men to have ever been tested for HIV (21% versus 9%) and to have been tested in the 12 months
before the survey and received the results of the last test (6% versus 3%) (Table 13.13.1 and Table 13.13.2).
523
Figure 13.5 Knowledge of Where to Get Tested
for HIV by Schooling
Women Men
83
74 72
63 66 64
53 54 53 54
48
42

complete
Trends: There has been a substantial increase in HIV testing among women age 15-49 since NFHS-4. The proportion
who had ever been tested for HIV prior to the survey increased from 16 percent in NFHS-4 to 21 percent in NFHS-5
among women and from 8 percent to 9 percent among men.
 The proportion of women and men who know where to get an HIV test is lower in rural than urban areas and
increases sharply with schooling and wealth (Table 13.13.1, Table 13.13.2, and Figure 13.5).
 Women are about twice as likely as men (19% versus 9%) to have ever been tested for HIV and received the results
(Figure 13.6).
 The proportion of respondents who have ever been tested for HIV peaks at 33 percent among women age 25-29
and at 14 percent among men age 30-39.
 Urban women are more likely (29%) to have ever been

tested for HIV than rural women (18%). Although Figure 13.6 Prior HIV Testing
urban men are also more likely than rural men to have Percentage of women and men age 15-49
ever been tested for HIV, the differential is smaller
(12% versus 8%).
Women Men
19
 Women’s and men’s likelihood of having ever been
tested for HIV increases sharply with both schooling
and wealth. For example, 12 percent of women and 4
percent of men with no schooling have ever been tested
8.5
for HIV, compared with 30 percent of women and 14
6.2
percent of men with 12 or more years of schooling.
3.4
 HIV testing is more common among women and men
who have been away from home for one month or more
Ever tested for HIV and Tested for HIV in the past 12
in the past 12 months (23% of women and 11% of men) received the results months and received the results
than among those who have not been away (21% of
women and 9% of men).
 The percentage of women and men who have ever been tested varies greatly by state. Among women, this
percentage ranges from 7 percent in Uttar Pradesh and 8 percent each in Jharkhand and Bihar to 57 percent in
Mizoram. Among men this percentage ranges from 1 percent in Lakshadweep and 2 percent in Assam to 36 percent
in Mizoram (Table 13.14.1 and Table 13.14.2).
 The proportions of women and men who have been tested for HIV in the past 12 months and have received the
results have the same pattern of variation by most background characteristics as do the proportions of women and
men who have ever been tested for HIV.
524
13.8.2 HIV Testing of Pregnant Women
Table 13.15 presents information on self-reported HIV testing during pregnancy and labour among all women age 15-
49 who gave birth in the two years before the survey. Twenty-two percent of women who received ANC for their last
birth in the past two years received counselling on HIV and an HIV test during an antenatal care (ANC) visit and
received the test results; 36 percent of women who had a birth in the past two years had an HIV test during ANC or
labour and received the test results.
 Women in urban areas are more likely than their rural counterparts to have an HIV test during ANC or labour and
receive their test result (51% versus 31%) (Table 13.15).
 The percentage of women who had an HIV test during ANC or labour and who received their test results increases
sharply with both schooling and wealth. For example, 16 percent of women in the lowest wealth quintile had an
HIV test during ANC or labour and received the test results, compared with 56 percent of women in the highest
wealth quintile (Figure 13.7).
 The percentage who had an HIV test

during ANC or labour and who received Figure 13.7 HIV Testing during ANC or Labour
their test results among women who had Wealth by Household
a birth in the two years preceding the Percentage of women who had a birth in the past two years who were tested
survey and the percentage of women who for HIV during ANC or delivery for their most recent birth and received results
received ANC for their last birth in the
past two years who received counselling
56
on HIV, an HIV test during ANC, and the 49
44
test results vary greatly by state. For
example, the proportion of women who 25
16
received counselling on HIV, an HIV test
during ANC, and their test results was the
highest in Mizoram (66%), followed by
Tamil Nadu (59%) and was the lowest in Poorest Wealthiest
Jharkhand (5%) and Bihar (6%) (Table
13.16).
13.9 SELF-REPORTING OF SEXUALLY TRANSMITTED INFECTIONS
Sexually transmitted infections (STIs) and symptoms

Respondents who have ever had sex are asked whether they had an STI or
symptoms of an STI (a bad-smelling, abnormal discharge from the vagina/penis,
a genital sore, or a genital ulcer) in the 12 months before the survey.
Overall, 12 percent of women age 15-49 who have ever had sex and 9 percent of men age 15-49 who have ever had
sex reported having an STI and/or symptoms of an STI in the past 12 months (Table 13.17).
 Never married men are more likely than currently married or formerly married men to report having an STI and/or
symptoms of an STI (Table 13.17).
 Self-reported STIs and/or symptoms of STIs do not vary greatly by residence or schooling for both women and
men.
 Women and men who were away from home for one month or more at a time in the past 12 months are more likely
to report an STI and/or symptoms of an STI in the past 12 months (18% of women and 14% of men) than women
and men who were not away from home (12% of women and 9% of men).
525
 Self-reported STIs and/or symptoms of an STI in the past 12 months vary greatly across states, from a low among
women of 4 percent in Odisha, 5 percent in Andhra Pradesh and 6 percent in Telangana to a high of 30 percent in
Meghalaya. Among men range was from 1 percent in Mizoram, Goa, and Lakshadweep and 2 percent in Nagaland
to a high of 23 percent in Ladakh, and 20 percent in West Bengal (Table 13.18).
13.10 HIV/AIDS-RELATED KNOWLEDGE AND BEHAVIOUR AMONG YOUNG PEOPLE

This section addresses HIV/AIDS-related knowledge among young people age 15-24 and also assesses the extent to
which young people are engaged in behaviours that may place them at risk of contracting HIV.
13.10.1 Knowledge of HIV/AIDS
Knowledge of HIV transmission enables people to avoid HIV infection. This is especially true for young people, who
are often at greater risk because they may have shorter relationships with more partners or engage in other high-risk
behaviours.
In India, 20 percent of young women and 29

percent of young men age 15-24 have Figure 13.8 Trend in Comprehensive Knowledge
comprehensive knowledge of HIV, which among Youth
includes knowing that consistent use of condoms Percentage of women and men age 15-24
during sexual intercourse and having just one
uninfected faithful partner can reduce the chance
of getting HIV, knowing that a healthy-looking NFHS-4 NFHS-5
person can have HIV, and rejecting two common
misconceptions about HIV transmission (Table
32
13.19). 29
22 20
Trends: The percentage of young women with
comprehensive knowledge about HIV has
decreased only marginally from 22 percent in Women Men
NFHS-4 to 20 percent in NFHS-5 and the
proportion of young men with comprehensive knowledge has declined in the same period, from 32 percent to 29 percent
(Figure 13.8).
 Comprehensive knowledge about HIV increases with age: only 17 percent of women and 24 percent of men age
15-17 have comprehensive knowledge, compared with 24 percent of women and 33 percent of men age 23-24
(Table 13.19).
 Young women and men in urban areas are more likely (26% of women and 34% of men) than their counterparts
in rural areas (18% of women and 26% of men) to have comprehensive knowledge about HIV.
 Comprehensive knowledge among youth increases sharply with schooling and wealth. For example, 9 percent of
women and 15 percent of men with no schooling have comprehensive knowledge, compared with 28 percent of
women and 38 percent of men with 12 or more years of schooling.
 Comprehensive knowledge among youth varies greatly by state. Only 10 percent of women in Bihar and 12 percent
in Uttar Pradesh and Tripura have comprehensive knowledge of HIV, compared with 69 percent in Mizoram.
Similarly, only 14 percent of men in West Bengal and Meghalaya and 15 percent of men in Sikkim have
comprehensive knowledge, compared with 73 percent in Goa and 60 percent in Mizoram (Table 13.20).
13.10.2 First Sex
Table 13.21 provides information on the percentage of young women and men who have ever had sexual intercourse
and who had sexual intercourse before the age of 15. Thirty-nine percent of women age 15-24 have ever had sex,
compared with 21 percent of young men age 15-24. Two percent of young women and 0.5 percent of young men
reported having sex before the age of 15.
526
Trends: Overall, the percentage of young people age 15-24 who have had sex before age 15 has decreased
insignificantly between NFHS-4 and NFHS-5 for women (from 3% to 2%) and men (from 0.9% to 0.5%).
 Among women age 15-24, the likelihood of ever having had sex and having had sex before age 15 declines sharply
with schooling. Seventy-one percent of women with no schooling have ever had sex and 8 percent had sex before
age 15, compared with 33 percent of women with 12 or more years of schooling having ever had sex and less than
1 percent having had sex before age 15 (Table 13.21).
 The likelihood of ever having had sex and having had sex before age 15 among women age 15-24 also varies
greatly by wealth. The percentage who have ever had sex declines from 45 percent among women in the lowest
wealth quintile to 28 percent among women in the highest wealth quintile, and the percentage who had sex before
age 15 declines from 4 percent among women in the lowest wealth quintile to 0.4 percent among women in the
13.10.3 Premarital Sex
Ninety-seven percent of never married women and 89 percent of never married men age 15-24 have never had sexual
intercourse (Table 13.22). Only 2 percent of never married women and 7 percent of never married men age 15-24 had
sex in the past 12 months. Among never married women and men who had sex in the past 12 months, 63 percent of
women and 62 percent of men reported the use of a condom at last sexual intercourse.
 The percentage of never married women and men who have never had sexual intercourse decreases with age from
98 percent of women and 96 percent of men age 15-17 to 95 percent of women and 77 percent of men age 23-24
(Table 13.22).
 Never married men age 15-24, who were away from home for one month or more at a time in the past 12 months
had more sexual intercourse in the past 12 months than men who were not away from home (11% versus 7%).
13.10.4 Multiple Sexual Partners
Young men age 15-24 who had sexual intercourse in the past 12 months are much more likely than their female
counterparts to have had higher-risk sexual intercourse in the 12 months preceding the survey (39% versus 2%). Among
young women and men who had higher-risk sexual intercourse in the past 12 months, women were much more likely
than men to have reported the use of a condom at last higher-risk intercourse (63% versus 58%) (Table 13.23).
 Among young men who had sex in the past 12 months, the likelihood of having had higher-risk sex generally
increases with schooling: 21-28 percent of men with no schooling or less than 5 years of schooling have had
higher-risk sexual intercourse, compared with 57 percent of men with 12 or more years of schooling (Tables
13.23).
 Among women and men who had higher-risk sexual intercourse in the past 12 months, condom use at last sex with
a non-marital, non-cohabitating partner is much higher in urban areas than in rural areas. Seventy-two percent of
women and 64 percent of men in urban areas who had higher-risk sex in the past 12 months the use of a condom
during their last sexual intercourse with their last non-marital, non-cohabitating partner, compared with 59 percent
of women and 54 percent of men in rural areas.
13.10.5 Coverage of HIV Testing Services
Seeking an HIV test may be more difficult for young people than older adults because many young people lack
experience in accessing health services for themselves and because there are often barriers to young people in obtaining
services. Table 13.24 provides information on sexually active youth age 15-24 who have been tested for HIV and
received the results of the last test.
527
Among young people age 15-24 who have had sexual intercourse in the past 12 months, the proportion who were tested
for HIV and received their results was higher among women than among men; 13 percent of women were tested and
received the results, compared with only 3 percent of men.
 The proportion of young women tested for HIV and receiving the test results in the past 12 months among those
who have had sexual intercourse in the past 12 months increases with age from 6 percent of women age 15-17 to
14 percent of women age 23-24 (Table 13.24).
 Young women age 15-24 in urban areas who had sex in the past 12 months are more likely to have been tested for
HIV in the past 12 months and received the test results (15%) than their rural counterparts (12%). The percentage
of young men who were tested for HIV in the past 12 months and received the test results was the same in urban
and rural areas (3%).
 The percentage of young women and men who were tested for HIV in the past 12 months and who received their
results tends to increase with both schooling and wealth.
528
LIST OF TABLES
For more information on HIV/AIDS-related knowledge, attitudes, and behaviour, see the following tables:
Tables
Table 13.1 Knowledge of HIV or AIDS
Table 13.2 Knowledge of HIV/AIDS prevention methods
Table 13.3.1 Comprehensive knowledge about HIV/AIDS: Women
Table 13.3.2 Comprehensive knowledge about HIV/AIDS: Men
Table 13.4 Knowledge of prevention of HIV/AIDS transmission from a mother to her baby
Table 13.5 HIV/AIDS awareness indicators by state/union territory
Table 13.6 Accepting attitudes toward those living with HIV/AIDS
Table 13.7.1 Accepting attitudes toward those living with HIV/AIDS by state/union territory: Women
Table 13.7.2 Accepting attitudes toward those living with HIV/AIDS by state/union territory: Men
Table 13.8 Attitudes toward negotiating sex with husband
Table 13.9 Attitudes toward negotiating sex with husband by state/union territory
Table 13.10.1 Multiple sexual partners and higher-risk sexual intercourse in the past 12 months: Women
Table 13.10.2 Multiple sexual partners and higher-risk sexual intercourse in the past 12 months: Men
Table 13.11 Multiple sexual partners and higher-risk sexual intercourse in the past 12 months
Table 13.12 Payment for sexual intercourse and condom use at last paid sexual intercourse: Men
Table 13.13.1 Coverage of prior HIV testing: Women
Table 13.13.2 Coverage of prior HIV testing: Men
Table 13.14.1 Coverage of prior HIV testing by state/union territory: Women
Table 13.14.2 Coverage of prior HIV testing by state/union territory: Men
Table 13.16 Coverage of prior HIV testing during antenatal care (ANC) or labour by state/union territory
Table 13.17 Self-reported prevalence of sexually transmitted infections (STI) and/or STI symptoms
Table 13.18 Self-reported prevalence of sexually transmitted infections (STI) and/or STI symptoms
Table 13.19 Comprehensive knowledge about HIV/AIDS and knowledge of a source of condoms among youth
Table 13.21 Age at first sexual intercourse among youth
Table 13.22 Sexual intercourse and condom use among never married youth
Table 13.23 Higher-risk sexual intercourse among youth and condom use at last higher-risk intercourse
Table 13.24 Recent HIV tests among youth
529
Table 13.1 Knowledge of HIV or AIDS
Percentage of women and men age 15-49 who have heard of HIV or AIDS, by background characteristics,
India, 2019-21 and NFHS-4
Women Men
have heard of Number have heard of Number
Background characteristic HIV or AIDS of women HIV or AIDS of men
Age
15-24 85.4 36,049 92.5 30,769
15-19 82.3 18,240 90.6 16,385
20-24 88.6 17,809 94.8 14,384
25-29 89.3 17,398 96.0 14,195
30-39 88.6 29,853 95.6 26,137
40-49 86.0 24,714 94.0 22,043
Residence
Urban 93.0 34,839 96.9 32,852
Rural 84.2 73,175 92.9 60,291
Schooling
No schooling 75.8 24,485 85.9 9,982
<5 years complete 79.8 5,715 89.3 5,842
5-7 years complete 83.9 14,547 91.4 12,082
8-9 years complete 86.6 19,237 93.3 18,472
10-11 years complete 92.7 16,278 96.3 16,735
Away from home for 1 month or more

at a time in the past 12 months1
Yes 87.5 7,907 93.2 13,289
No 87.0 100,107 94.5 79,855
Religion
Hindu 87.4 87,179 94.5 73,632
Muslim 83.7 15,138 92.5 14,633
Christian 94.7 2,495 97.0 2,426
Sikh 86.5 1,908 95.2 886
Buddhist/Neo-Buddhist 90.6 652 97.6 1,017
Jain 97.7 214 96.0 280
Other 83.7 428 94.5 269
Caste/tribe
Scheduled caste 84.7 23,427 94.1 18,977
Scheduled tribe 83.3 9,909 90.6 8,441
Other 89.4 26,733 95.0 26,244
Don't know 58.9 694 83.1 496
Wealth quintile
Lowest 74.0 19,904 87.6 15,606
Second 82.6 22,049 92.5 18,497
Middle 88.5 22,252 94.5 19,829
Fourth 92.9 22,376 97.0 20,658
Highest 96.2 21,432 98.3 18,553
Total 87.1 108,014 94.3 93,144
NFHS-4 (2015-2016) 75.6 121,118 88.9 103,411

1
For women, visits to parental/in-laws' home excluded.
530
Table 13.2 Knowledge of HIV/AIDS prevention methods
Percentage of women and men age 15-49 who, in response to prompted questions, say that people can reduce the risk of getting HIV/AIDS by using condoms every time they have sexual intercourse and by having
one uninfected sex partner who has no other sex partners, and percentage who say people can get HIV/AIDS from blood products or blood transfusions and by injecting drugs, by background characteristics, India,
2019-21
Percentage who say that people can Percentage who say that people can
reduce the risk of getting HIV/AIDS by: reduce the risk of getting HIV/AIDS by:
Limiting who say that Percentage Limiting who say that
sexual Using condoms people can who say sexual Using condoms people can
intercourse and limiting get HIV/AIDS that people intercourse and limiting get HIV/AIDS Percentage
to one sexual from blood can get to one sexual from blood who say that
uninfected intercourse to products or HIV/AIDS uninfected intercourse to products or people can get
Using sex one uninfected blood by injecting Number Using sex one uninfected blood HIV/AIDS by Number
Background characteristic condoms1 partner2 sex partner1, 2 transfusions drugs of women condoms1 partner2 sex partner1, 2 transfusions injecting drugs of men
Age
15-24 65.2 67.5 57.2 72.9 68.7 36,049 79.5 74.8 68.2 74.8 74.9 30,769
15-19 59.8 62.6 52.0 70.3 66.4 18,240 76.1 71.1 64.4 72.6 72.5 16,385
20-24 70.6 72.6 62.6 75.4 71.1 17,809 83.4 79.0 72.4 77.3 77.6 14,384
25-29 72.3 74.3 64.4 76.6 72.1 17,398 84.5 80.4 73.8 79.9 79.4 14,195
30-39 71.2 73.2 63.4 75.8 71.3 29,853 84.4 80.3 74.0 79.2 79.5 26,137
40-49 66.9 68.7 58.8 72.8 68.2 24,714 80.6 77.4 70.2 77.7 76.9 22,043
531
Residence
Urban 76.1 78.0 68.3 81.5 77.0 34,839 86.3 81.9 75.8 80.3 81.2 32,852
Rural 64.7 66.9 56.7 70.8 66.5 73,175 79.5 75.6 68.6 76.0 75.2 60,291
Schooling
No schooling 55.0 57.9 47.3 62.1 58.2 24,485 67.8 64.1 55.8 66.8 65.7 9,982
<5 years complete 59.6 61.8 51.6 65.9 61.6 5,715 72.5 67.8 59.3 69.4 68.0 5,842
5-7 years complete 64.3 66.0 55.8 70.1 66.6 14,547 77.3 73.7 65.9 73.1 73.0 12,082
8-9 years complete 66.9 68.5 58.3 72.1 67.6 19,237 79.6 75.5 68.4 74.5 74.7 18,472
10-11 years complete 73.6 75.3 65.3 80.2 75.8 16,278 84.8 81.0 74.9 80.2 79.6 16,735
Marital status
Never married 65.3 67.8 57.3 75.1 71.1 25,505 81.2 76.0 69.7 76.7 76.9 36,503
Widowed/divorced/separated/deserted 64.7 68.0 56.5 72.4 68.8 4,780 78.0 76.7 68.8 72.7 74.0 1,165
Away from home for 1 month or more

at a time in the past 12 months3
Yes 71.4 73.1 63.1 76.5 72.2 7,907 79.7 76.5 69.0 75.1 73.3 13,289
No 68.1 70.3 60.2 74.1 69.7 100,107 82.3 78.1 71.5 77.9 78.0 79,855
Continued…
Table 13.2 Knowledge of HIV/AIDS prevention methods—Continued
Percentage of women and men age 15-49 who, in response to prompted questions, say that people can reduce the risk of getting HIV/AIDS by using condoms every time they have sexual intercourse and by having
one uninfected sex partner who has no other sex partners, and percentage who say people can get HIV/AIDS from blood products or blood transfusions and by injecting drugs, by background characteristics, India,
2019-21
Percentage who say that people can Percentage who say that people can
reduce the risk of getting HIV/AIDS by: reduce the risk of getting HIV/AIDS by:
Limiting who say that Percentage Limiting who say that
sexual Using condoms people can who say sexual Using condoms people can
intercourse and limiting get HIV/AIDS that people intercourse and limiting get HIV/AIDS Percentage
to one sexual from blood can get to one sexual from blood who say that
uninfected intercourse to products or HIV/AIDS uninfected intercourse to products or people can get
Using sex one uninfected blood by injecting Number Using sex one uninfected blood HIV/AIDS by Number
Background characteristic condoms1 partner2 sex partner1, 2 transfusions drugs of women condoms1 partner2 sex partner1, 2 transfusions injecting drugs of men
Religion
Hindu 68.9 71.3 61.1 74.5 70.4 87,179 82.5 78.6 72.0 78.1 77.7 73,632
Muslim 64.5 65.2 55.9 71.2 65.2 15,138 78.2 73.0 65.7 73.3 73.4 14,633
Christian 71.2 73.9 62.1 82.9 77.2 2,495 83.2 79.6 72.9 84.9 81.7 2,426
Sikh 69.7 70.3 62.0 75.8 73.1 1,908 84.7 83.2 77.5 84.0 87.8 886
Buddhist/Neo-Buddhist 70.9 69.4 62.0 70.8 73.1 652 85.9 81.0 75.4 75.2 83.9 1,017
Jain 89.5 91.5 87.4 89.8 88.3 214 94.2 83.5 83.3 75.6 88.7 280
Other 61.0 64.7 51.4 69.1 61.9 428 84.6 82.8 76.9 75.5 80.1 269
532
Caste/tribe
Scheduled caste 65.4 67.9 57.6 71.8 68.1 23,427 81.2 78.0 70.9 76.0 76.1 18,977
Scheduled tribe 63.8 64.4 55.0 68.0 63.7 9,909 76.7 72.5 65.1 73.0 72.7 8,441
Other 71.9 73.6 64.4 76.7 72.2 26,733 83.1 76.5 70.6 78.8 78.4 26,244
Don't know 38.2 43.7 32.1 42.5 39.4 694 68.7 57.9 53.1 56.4 55.0 496
Wealth quintile
Lowest 53.9 54.8 45.6 59.4 54.6 19,904 71.7 67.6 60.0 67.3 66.6 15,606
Second 61.8 64.7 53.9 68.7 64.8 22,049 77.7 73.6 66.2 74.6 73.3 18,497
Middle 68.2 71.7 60.3 75.4 71.2 22,252 82.4 77.7 70.9 77.2 77.5 19,829
Fourth 74.9 76.3 66.5 80.6 76.1 22,376 85.5 82.9 75.8 82.7 81.4 20,658
Highest 81.9 83.6 74.7 86.0 81.4 21,432 90.2 85.2 80.5 83.5 85.6 18,553
Total age 15-49 68.4 70.5 60.4 74.3 69.9 108,014 81.9 77.8 71.2 77.5 77.3 93,144
Age 50-54 na na na na na na 77.0 74.5 66.9 74.6 73.5 8,695
Total age 15-54 na na na na na na 81.5 77.6 70.8 77.3 77.0 101,839
na = Not applicable
1 Using condoms every time they have sexual intercourse
2 Partner who has no other sex partners
3 For women, visits to parental/in-laws' home excluded
Table 13.3.1 Comprehensive knowledge about HIV/AIDS: Women
Percentage of women age 15-49 who, in response to prompted questions, correctly reject misconceptions about HIV/AIDS transmission or prevention and who say that a healthy-looking person
can have HIV/AIDS, and percentage who have a comprehensive knowledge about HIV/AIDS, by background characteristics, India, 2019-21
Percentage who
Percentage who say that a
Percentage of women who say that:
reject the two healthy-looking
A person cannot HIV/AIDS specified Percentage who person can have Percentage who
HIV/AIDS become infected cannot be misconceptions say that a HIV/AIDS and have a
cannot be by sharing food transmitted and know how healthy-looking who reject the comprehensive Number
transmitted by with a person who by the two to prevent person can two specified knowledge about of
Background characteristic mosquito bites has AIDS specified methods HIV/AIDS1 have HIV/AIDS misconceptions HIV/AIDS2 women
Age
15-24 53.5 42.6 33.0 23.6 66.5 26.2 20.1 36,049
15-19 51.0 40.1 30.7 20.9 63.2 23.9 17.9 18,240
20-24 56.2 45.2 35.4 26.4 69.8 28.5 22.5 17,809
25-29 56.4 48.5 37.9 28.8 69.3 29.8 24.1 17,398
30-39 55.7 47.5 36.7 27.7 68.2 28.8 23.1 29,853
40-49 50.5 43.3 32.0 23.7 66.4 25.5 20.0 24,714
Residence
533
Urban 63.2 54.2 43.5 33.7 73.9 35.1 28.6 34,839
Rural 49.5 40.7 30.4 21.7 64.3 23.6 18.2 73,175
Schooling
No schooling 38.8 30.8 21.4 14.1 55.9 16.0 11.6 24,485
<5 years complete 42.4 35.9 25.6 18.2 58.8 19.5 15.0 5,715
5-7 years complete 48.6 40.0 29.3 21.0 62.2 22.2 17.3 14,547
8-9 years complete 52.0 42.6 32.3 23.4 66.2 25.0 19.4 19,237
10-11 years complete 60.8 52.2 40.3 29.3 72.6 31.6 24.6 16,278
Marital status
Never married 56.2 45.7 35.9 25.5 68.1 28.6 22.1 25,505
Widowed/divorced/separated/deserted 49.1 43.0 31.1 21.6 63.0 24.3 18.1 4,780
Away from home for 1 month or more at

a time in the past 12 months3
Yes 51.9 41.2 31.1 23.6 68.6 24.8 20.2 7,907
No 54.1 45.4 34.9 25.8 67.3 27.5 21.7 100,107
Continued…
Table 13.3.1 Comprehensive knowledge about HIV/AIDS: Women—Continued
Percentage of women age 15-49 who, in response to prompted questions, correctly reject misconceptions about HIV/AIDS transmission or prevention and who say that a healthy-looking person
can have HIV/AIDS, and percentage who have a comprehensive knowledge about HIV/AIDS, by background characteristics, India, 2019-21
Percentage who
Percentage who say that a
Percentage of women who say that:
reject the two healthy-looking
A person cannot HIV/AIDS specified Percentage who person can have Percentage who
HIV/AIDS become infected cannot be misconceptions say that a HIV/AIDS and have a
cannot be by sharing food transmitted and know how healthy-looking who reject the comprehensive Number
transmitted by with a person who by the two to prevent person can have two specified knowledge about of
Background characteristic mosquito bites has AIDS specified methods HIV/AIDS1 HIV/AIDS misconceptions HIV/AIDS2 women
Religion
Hindu 54.7 45.5 35.0 26.1 67.6 27.6 22.0 87,179
Muslim 47.8 38.7 28.9 20.2 66.0 22.6 16.9 15,138
Christian 63.7 61.5 49.9 35.9 69.7 39.8 30.0 2,495
Sikh 50.7 45.6 34.2 26.5 67.7 28.5 22.9 1,908
Jain 75.7 73.2 57.7 52.6 81.4 49.9 46.8 214
Other 49.0 45.9 33.1 23.8 65.7 26.7 21.0 428
534
Caste/tribe
Scheduled caste 50.2 42.1 31.6 22.8 65.0 24.8 19.1 23,427
Scheduled tribe 51.2 40.8 31.8 23.0 64.5 25.6 20.0 9,909
Other 57.6 48.6 38.1 29.6 72.1 31.5 25.7 26,733
Don't know 28.1 22.1 14.9 9.4 38.2 10.4 7.5 694
Wealth quintile
Lowest 38.8 29.1 20.9 13.6 55.8 16.0 11.6 19,904
Second 46.3 37.2 26.9 18.6 62.6 20.7 15.7 22,049
Middle 54.4 45.8 34.9 24.9 67.7 27.0 20.8 22,252
Fourth 60.3 52.0 40.3 30.6 71.8 31.7 25.5 22,376
Highest 68.5 60.0 49.1 39.5 78.2 40.4 33.7 21,432
Total 53.9 45.1 34.6 25.6 67.4 27.3 21.6 108,014

1 Respondents who know how to prevent HIV/AIDS say that the consistent use of a condom for every act of sexual intercourse and having just one uninfected faithful sex partner can reduce
the chance of getting HIV/AIDS
2 Respondents with a comprehensive knowledge say that consistent use of condoms every time they have sex and having just one uninfected faithful sex partner can reduce the chance of
getting HIV/AIDS, say that a healthy-looking person can have HIV/AIDS, and reject two common misconceptions about transmission or prevention of HIV/AIDS.
3 Visits to parental/in-laws' home excluded
Table 13.3.2 Comprehensive knowledge about HIV/AIDS: Men
Percentage of men age 15-49 who, in response to prompted questions, correctly reject misconceptions about HIV/AIDS transmission or prevention and who say that a healthy-looking
person can have HIV/AIDS, and percentage who have a comprehensive knowledge about HIV/AIDS, by background characteristics, India, 2019-21

Percentage of men who say that:
reject the two say that a healthy-
A person cannot HIV/AIDS cannot specified Percentage who looking person can Percentage who
HIV/AIDS cannot become infected be transmitted misconceptions say that a have HIV/AIDS and have a
be transmitted by sharing food by the two and know how healthy-looking who reject the two comprehensive Number
by mosquito with a person specified to prevent person can have specified knowledge about of
Background characteristic bites who has AIDS methods HIV/AIDS1 HIV/AIDS misconceptions HIV/AIDS2 men
Age
15-24 63.8 55.9 45.0 35.2 69.3 35.0 28.5 30,769
15-19 61.3 53.3 42.3 32.2 66.9 32.6 26.1 16,385
20-24 66.6 58.9 48.1 38.6 72.1 37.8 31.2 14,384
25-29 65.5 61.4 49.0 39.3 74.2 38.9 32.5 14,195
30-39 65.2 61.9 48.9 40.0 72.7 38.7 32.9 26,137
40-49 62.2 58.6 46.1 37.0 70.4 36.2 30.0 22,043
Residence
Urban 72.2 67.5 56.3 45.5 74.6 44.6 37.4 32,852
535
Rural 59.6 54.5 41.9 33.3 69.4 32.7 27.0 60,291
Schooling
No schooling 46.7 42.6 30.0 21.4 58.5 22.0 16.9 9,982
<5 years complete 49.4 44.2 32.4 23.7 58.9 22.0 16.6 5,842
5-7 years complete 55.4 52.2 38.2 29.2 65.2 27.7 22.4 12,082
8-9 years complete 60.4 54.2 42.0 32.3 69.2 32.5 26.2 18,472
10-11 years complete 68.6 62.4 50.4 41.3 72.5 39.3 33.3 16,735
Marital status
Never married 65.8 59.3 48.1 37.8 71.1 37.7 30.8 36,503
Widowed/divorced/
Away from home for 1 month or

more at a time in the past 12 months
Yes 60.5 55.2 42.5 33.2 69.1 32.2 26.2 13,289
No 64.6 59.7 47.7 38.3 71.6 37.7 31.5 79,855
Continued…
Table 13.3.2 Comprehensive knowledge about HIV/AIDS: Men—Continued
Percentage of men age 15-49 who, in response to prompted questions, correctly reject misconceptions about HIV/AIDS transmission or prevention and who say that a healthy-looking
person can have HIV/AIDS, and percentage who have a comprehensive knowledge about HIV/AIDS, by background characteristics, India, 2019-21

Percentage of men who say that:
reject the two say that a healthy-
A person cannot HIV/AIDS cannot specified Percentage who looking person can Percentage who
HIV/AIDS cannot become infected be transmitted misconceptions say that a have HIV/AIDS and have a
be transmitted by sharing food by the two and know how to healthy-looking who reject the two comprehensive Number
by mosquito with a person specified prevent person can have specified knowledge about of
Background characteristic bites who has AIDS methods HIV/AIDS1 HIV/AIDS misconceptions HIV/AIDS2 men
Religion
Hindu 64.5 59.7 47.3 38.1 71.2 37.0 31.0 73,632
Muslim 59.4 52.6 41.5 30.9 70.4 32.5 25.4 14,633
Christian 70.6 70.0 59.1 48.8 73.9 49.4 41.9 2,426
Sikh 64.4 60.4 48.2 42.4 82.3 44.0 39.5 886
Jain 91.3 84.4 82.4 76.1 80.3 68.3 64.0 280
Other 72.7 72.5 62.9 57.7 79.5 59.2 56.6 269
Caste/tribe
Scheduled caste 59.7 55.8 42.2 33.7 68.8 32.4 27.1 18,977
536
Scheduled tribe 58.4 51.3 40.3 30.7 65.9 30.8 24.5 8,441
Other 65.5 60.2 49.1 39.2 75.0 40.2 33.5 26,244
Don't know 34.1 38.5 26.9 23.2 46.1 16.9 13.5 496
Wealth quintile
Lowest 47.2 40.6 28.9 21.6 62.0 21.7 17.3 15,606
Second 57.0 50.7 38.1 29.3 68.3 29.1 23.5 18,497
Middle 64.5 60.3 47.2 37.0 69.2 35.3 28.7 19,829
Fourth 71.0 67.8 55.0 44.4 74.5 43.6 36.0 20,658
Highest 77.1 71.9 61.7 52.5 80.6 51.8 45.4 18,553
Total age 15-49 64.1 59.1 47.0 37.6 71.3 36.9 30.7 93,144
Age 50-54 58.1 54.2 41.6 32.7 67.8 33.1 27.0 8,695
Total age 15-54 63.5 58.6 46.5 37.2 71.0 36.6 30.4 101,839
1
Respondents who know how to prevent HIV/AIDS say that the consistent use of a condom for every act of sexual intercourse and having just one uninfected faithful sex partner can reduce
the chance of getting HIV/AIDS
2
Respondents with a comprehensive knowledge say that consistent use of a condom every time they have sex and having just one uninfected faithful sex partner can reduce the chance of
getting HIV/AIDS, say that a healthy-looking person can have HIV/AIDS, and reject two common misconceptions about transmission or prevention of HIV/AIDS
Table 13.4 Knowledge of prevention of HIV/AIDS transmission from a mother to her baby
Percentage of women and men who know that HIV/AIDS can be transmitted from a mother to her baby during pregnancy, during delivery, by breastfeeding and by all three means, and that
the risk of HIV/AIDS transmission from a mother to her baby can be reduced by the mother taking special drugs, by background characteristics, India, 2019-21
Percentage who know Percentage who know

that HIV/AIDS can be that HIV/AIDS can be
Percentage of women who know that Percentage of men who know that
transmitted from a transmitted from a
HIV can be transmitted from HIV can be transmitted from
mother to her baby and mother to her baby and
mother to baby: mother to baby:
the risk of transmission the risk of transmission
By By all can be reduced by the By By all can be reduced by the
During During breast- three mother taking Number During During breast- three mother taking Number
Background characteristic pregnancy delivery feeding means special drugs of women pregnancy delivery feeding means special drugs of men
Age
15-24 70.2 66.9 67.1 60.2 49.0 36,049 66.4 62.5 58.2 50.3 41.9 30,769
15-19 66.0 62.6 63.2 56.1 45.8 18,240 63.3 59.3 55.5 47.6 38.5 16,385
20-24 74.5 71.4 71.1 64.3 52.3 17,809 69.8 66.1 61.3 53.3 45.8 14,384
25-29 76.3 73.0 72.0 65.3 53.7 17,398 74.7 71.1 63.6 56.0 49.9 14,195
30-39 75.5 71.6 70.6 63.7 52.8 29,853 74.5 70.6 64.5 56.5 49.3 26,137
40-49 72.4 69.4 68.4 61.9 49.6 24,714 73.5 69.1 63.2 55.5 45.9 22,043
537
Residence
Urban 78.5 74.7 73.7 66.1 56.8 34,839 74.9 70.1 61.9 54.3 50.1 32,852
Rural 70.6 67.4 67.0 60.6 48.2 73,175 69.8 66.3 62.1 54.0 44.0 60,291
Schooling
No schooling 62.7 60.4 60.2 54.9 41.2 24,485 60.7 56.5 54.6 46.6 36.8 9,982
<5 years complete 65.3 61.9 63.1 57.1 42.6 5,715 62.0 59.5 57.1 49.6 35.1 5,842
5-7 years complete 70.0 66.6 67.0 60.4 47.4 14,547 67.7 64.6 60.0 52.5 40.9 12,082
8-9 years complete 72.0 68.8 68.2 61.3 48.1 19,237 68.1 64.5 59.8 52.2 41.6 18,472
10-11 years complete 78.0 74.0 73.9 66.3 55.6 16,278 73.1 69.9 64.1 55.5 46.5 16,735
Marital status
Never married 70.7 67.0 67.1 59.8 50.4 25,505 68.1 64.2 58.9 51.0 44.4 36,503
Widowed/divorced/
separated/deserted 70.1 66.7 66.5 59.9 49.1 4,780 67.2 64.1 60.5 51.4 41.8 1,165
Continued…
Table 13.4 Knowledge of prevention of HIV/AIDS transmission from a mother to her baby—Continued

Percentage of women who know that that HIV/AIDS can be Percentage of men who know that that HIV/AIDS can be
HIV can be transmitted from transmitted from a HIV can be transmitted from transmitted from a
mother to baby: mother to her baby and mother to baby: mother to her baby and
Currently pregnant
Pregnant 72.5 70.2 68.2 62.8 51.7 3,900 na na na na na na
Not pregnant or not sure 73.2 69.7 69.2 62.3 50.9 104,114 na na na na na na
Away from home for

1 month or more at a time
in the past 12 months1
538
Yes 75.7 73.2 73.2 65.5 57.8 7,907 71.5 69.0 64.2 55.9 47.6 13,289
No 72.9 69.5 68.9 62.1 50.4 100,107 71.6 67.4 61.6 53.8 45.9 79,855
Religion
Hindu 73.6 70.2 69.7 62.7 51.4 87,179 72.1 68.4 62.4 54.4 47.2 73,632
Muslim 69.5 66.7 66.0 59.9 47.4 15,138 68.3 63.9 61.1 53.3 40.9 14,633
Christian 77.4 70.6 70.9 60.8 53.1 2,495 71.9 64.5 60.4 50.3 45.0 2,426
Sikh 76.3 72.7 69.8 65.6 52.5 1,908 78.0 72.4 58.8 55.2 43.5 886
Buddhist/Neo-Buddhist 76.5 74.9 73.9 70.2 58.2 652 70.8 66.8 57.3 52.3 46.5 1,017
Jain 76.6 71.7 72.5 66.3 53.9 214 84.6 86.2 69.3 66.9 49.8 280
Other 68.6 65.9 59.0 53.6 42.1 428 80.3 75.2 50.1 45.1 60.9 269
Caste/tribe
Scheduled caste 71.6 68.5 68.1 61.7 48.5 23,427 69.4 66.6 62.2 54.5 43.3 18,977
Scheduled tribe 67.9 65.3 64.8 58.7 46.6 9,909 67.4 63.2 59.6 51.7 39.9 8,441
Other 75.6 71.6 69.6 63.4 52.4 26,733 72.8 67.6 60.7 52.8 46.7 26,244
Don't know 44.0 39.2 39.2 34.7 23.3 694 46.5 43.1 43.9 36.2 20.6 496
Continued…
Table 13.4 Knowledge of prevention of HIV/AIDS transmission from a mother to her baby—Continued

Percentage of women who know that that HIV/AIDS can be Percentage of men who know that that HIV/AIDS can be
HIV can be transmitted from transmitted from a HIV can be transmitted from transmitted from a
mother to baby: mother to her baby and mother to baby: mother to her baby and
Wealth quintile
Lowest 60.1 57.8 57.7 52.5 39.1 19,904 63.0 59.2 57.2 49.6 36.9 15,606
Second 69.0 65.9 65.8 59.7 46.4 22,049 69.1 65.5 61.4 53.8 42.5 18,497
Middle 74.4 71.2 71.2 64.0 52.0 22,252 70.8 67.7 62.6 54.1 46.3 19,829
Fourth 78.3 74.6 74.2 66.7 55.8 22,376 74.5 70.0 64.3 55.6 48.7 20,658
Highest 82.8 78.3 76.0 68.1 60.5 21,432 78.9 74.2 63.5 56.6 54.7 18,553
539
Total age 15-49 73.1 69.8 69.2 62.4 50.9 108,014 71.6 67.7 62.0 54.1 46.1 93,144
na = Not applicable
1
For women, visits to parental/in-laws' home excluded
Table 13.5 HIV/AIDS awareness indicators by state/union territory
Percentage of women and men age 15-49 who have heard of HIV or AIDS, who know that HIV/AIDS can be prevented by using condoms, who
have a comprehensive knowledge about HIV/AIDS, and who know that HIV/AIDS can be transmitted from a mother to her baby, by state/union
Percentage who know

Percentage who know Percentage who that HIV/AIDS can be
Percentage who that HIV/AIDS can be have comprehensive transmitted from
have heard of prevented by using knowledge about a mother to her baby
HIV or AIDS condoms HIV/AIDS1 by all three means2
State/union territory Women Men Women Men Women Men Women Men
India 87.1 94.3 68.4 81.9 21.6 30.7 62.4 54.1
North
Chandigarh 88.9 90.5 72.3 85.2 20.3 54.1 67.4 64.7
Delhi 96.9 98.8 82.3 93.0 29.5 43.8 59.3 46.2
Haryana 88.4 96.5 70.9 88.5 19.7 36.4 58.4 53.7
Jammu & Kashmir 84.0 89.2 65.2 74.6 15.8 33.6 66.6 50.2
Ladakh 90.5 92.9 73.9 80.4 24.3 29.6 68.4 55.3
Punjab 86.5 94.7 68.1 86.4 20.6 37.5 67.2 58.8
Rajasthan 90.1 97.3 74.9 90.6 26.8 36.0 60.0 61.1
Uttarakhand 89.7 97.5 73.8 91.3 24.5 35.9 56.7 49.4
Central
Chhattisgarh 88.7 94.6 75.6 84.9 23.0 30.7 69.0 56.3
Madhya Pradesh 84.6 91.4 65.1 78.5 18.7 26.2 62.5 50.2
Uttar Pradesh 82.6 93.2 64.6 78.3 13.1 22.1 58.0 49.2
East
Bihar 75.7 91.9 57.4 80.3 10.3 25.1 60.2 62.3
Jharkhand 82.4 93.3 65.9 80.6 13.8 31.1 57.5 55.0
Odisha 97.7 98.4 71.8 86.6 21.4 24.6 65.0 55.9
West Bengal 80.3 90.7 60.4 72.5 18.5 15.5 53.0 46.6
Northeast
Assam 94.0 97.9 71.5 85.2 19.2 25.3 68.8 65.9
Manipur 99.4 99.6 87.7 94.3 50.6 55.9 58.5 57.2
Meghalaya 85.7 84.1 54.1 62.7 14.5 15.9 46.9 38.7
Mizoram 97.6 98.8 91.3 95.1 64.1 65.6 64.1 58.6
Nagaland 96.2 97.9 61.4 68.5 25.6 40.1 70.0 74.1
Sikkim 95.9 97.7 72.2 83.7 23.9 18.5 41.5 46.0
Tripura 91.7 95.5 59.5 85.3 15.4 29.9 66.4 50.7
West
Daman & Diu 73.9 91.0 63.8 79.1 25.3 28.1 46.9 33.6
Goa 99.1 100.0 90.1 97.8 49.0 67.2 81.3 67.1
Gujarat 76.0 89.7 66.7 82.5 28.5 35.7 57.6 54.2
Maharashtra 88.4 95.1 72.1 84.5 34.4 42.6 69.2 49.6
South
Andhra Pradesh 91.4 97.0 63.0 82.7 24.6 38.6 61.3 52.4
Karnataka 97.3 98.3 79.4 87.8 24.5 26.6 79.7 69.9
Kerala 99.2 99.3 74.1 84.5 34.8 45.2 50.7 41.2
Lakshadweep 95.7 98.2 74.9 96.0 46.9 65.5 61.5 43.7
Puducherry 98.3 99.2 79.3 90.3 30.2 32.5 68.9 59.8
Tamil Nadu 98.4 98.2 77.9 90.1 23.6 26.6 70.8 54.0
Telangana 92.9 93.8 68.9 75.3 30.7 30.5 67.9 51.7
1 Respondents with a comprehensive knowledge say that the consistent use of a condom every time they have sex and having just one uninfected
faithful sex partner can reduce the chance of getting HIV/AIDS, say that a healthy-looking person can have HIV/AIDS, and reject two common
misconceptions about transmission or prevention of HIV/AIDS
2 During pregnancy, during delivery, and by breastfeeding
540
Table 13.6 Accepting attitudes toward those living with HIV/AIDS
Among women and men age 15-49 who have heard of HIV or AIDS, percentage expressing specific accepting attitudes toward people with
HIV/AIDS, by residence, India, 2019-21
Percentage of women who: Percentage of men who:

Accepting attitude Urban Rural Total Urban Rural Total
Are willing to care for a relative with HIV/AIDS in own home 73.4 69.5 70.9 76.3 73.1 74.3
Would buy fresh vegetables from a shopkeeper or vendor
who has HIV/AIDS 68.5 62.1 64.3 74.6 66.1 69.2
Say that a female teacher who has HIV/AIDS but is not sick
should be allowed to continue teaching 75.4 68.5 70.9 82.0 72.5 75.9
Would not want to keep secret that a family member got
infected with HIV/AIDS 58.4 62.8 61.3 54.8 61.2 58.9
Would allow an HIV positive student to attend school with
students who are HIV negative 72.7 65.5 68.0 79.7 69.5 73.2
Think that people living with HIV should be treated in the
same public hospital with patients who are HIV negative 68.1 63.0 64.8 70.8 62.3 65.4
Think that people living with HIV should be allowed to work
in the same office with people who are HIV negative 74.0 66.5 69.1 78.5 68.9 72.3
Percentage of respondents expressing accepting attitudes on

all seven indicators 24.7 22.1 23.0 25.9 23.4 24.3
Number of respondents who have heard of HIV or AIDS 32,414 61,613 94,027 31,829 55,984 87,813
541
Table 13.7.1 Accepting attitudes toward those living with HIV/AIDS by state/union territory: Women
Among women age 15-49 who have heard of HIV or AIDS, percentage expressing specific accepting attitudes toward people with HIV/AIDS, by state/union territory,
India, 2019-21
Percentage of women who:

Think that Think that
people living people living
Say that a with HIV with HIV
Would buy female teacher Would allow should be should be Percentage of
fresh who has Would not an HIV positive treated in the allowed to women
Are willing to vegetables HIV/AIDS but is want to keep student to same public work in the expressing
care for a from a not sick should secret that a attend school hospital with same office accepting
relative with shopkeeper or be allowed to family member with students patients who with people attitudes on all
HIV/AIDS in vendor who continue got infected who are HIV are HIV who are HIV seven
State/union territory own home has HIV/AIDS teaching with HIV/AIDS negative negative negative indicators
India 70.9 64.3 70.9 61.3 68.0 64.8 69.1 23.0

North
Chandigarh 65.8 48.4 56.8 78.9 50.6 56.6 57.4 18.0
Delhi 80.0 73.2 79.5 63.9 79.1 72.6 78.4 32.6
Haryana 75.2 64.3 70.1 67.9 66.9 64.3 66.5 28.0
Jammu & Kashmir 59.8 65.0 68.4 62.1 68.4 64.5 68.1 20.6
Ladakh 59.4 73.6 75.0 63.7 75.4 69.5 74.2 24.5
Punjab 77.2 66.4 73.2 72.2 71.7 70.3 72.6 33.6
Rajasthan 76.0 72.4 75.8 66.8 72.3 64.8 71.5 30.8
Uttarakhand 70.3 65.8 72.2 68.8 70.1 67.3 70.6 29.8
Central
Chhattisgarh 79.4 72.4 78.0 73.7 75.3 71.5 75.9 36.6
Madhya Pradesh 71.5 59.6 65.6 70.6 60.7 59.7 62.9 24.1
Uttar Pradesh 64.1 57.6 59.5 69.3 57.0 55.7 56.6 18.4
East
Bihar 76.7 68.6 69.8 70.2 67.8 65.3 66.8 26.9
Jharkhand 77.2 67.5 68.1 76.2 65.3 65.2 64.7 31.8
Odisha 71.3 63.4 72.0 80.4 67.8 67.5 69.9 32.3
West Bengal 66.5 64.2 72.9 74.3 69.3 68.9 72.0 28.5
Northeast
Assam 76.1 72.4 79.1 69.6 76.1 68.6 75.8 32.6
Manipur 82.0 85.4 87.7 82.7 85.6 76.6 88.5 49.7
Meghalaya 64.5 27.3 48.1 47.6 46.5 34.3 45.6 6.7
Mizoram 86.7 88.4 92.2 37.2 86.0 69.8 93.0 24.2
Nagaland 63.4 56.8 75.8 43.9 74.3 64.6 75.7 21.2
Sikkim 74.4 73.1 87.1 76.6 84.7 80.1 88.8 38.0
Tripura 47.8 53.1 57.6 58.6 55.1 49.2 62.1 11.5
West
Daman & Diu 82.3 73.5 90.1 51.8 83.4 91.6 89.9 32.8
Goa 80.1 79.8 91.0 77.7 91.4 68.8 86.3 37.0
Gujarat 86.3 70.4 80.1 47.8 75.6 78.3 76.7 21.4
Maharashtra 75.4 71.2 80.1 48.2 79.0 71.3 79.4 22.5
South
Andhra Pradesh 64.1 64.3 71.8 34.7 71.7 65.1 74.0 9.6
Karnataka 73.7 69.5 79.7 36.8 76.0 73.3 77.8 12.3
Kerala 71.0 71.7 85.1 60.1 81.8 78.5 85.2 28.9
Lakshadweep 66.7 70.5 79.9 58.0 80.8 77.7 79.9 31.1
Puducherry 67.4 54.2 74.4 39.3 64.2 58.7 69.4 9.2
Tamil Nadu 56.4 41.5 51.7 48.1 47.8 47.6 52.8 9.6
Telangana 61.9 58.9 73.4 34.1 68.9 55.8 73.0 8.3
542
Table 13.7.2 Accepting attitudes toward those living with HIV/AIDS by state/union territory: Men
Among men age 15-49 who have heard of HIV or AIDS, percentage expressing specific accepting attitudes toward people with HIV/AIDS, by state/union territory,
India, 2019-21
Percentage of men who:

Think that Think that
people living people living
Say that a with HIV with HIV
Would buy female teacher Would allow should be should be Percentage of
fresh who has Would not an HIV positive treated in the allowed to men
Are willing to vegetables HIV/AIDS but is want to keep student to same public work in the expressing
care for a from a not sick should secret that a attend school hospital with same office accepting
relative with shopkeeper or be allowed to family member with students patients who with people attitudes on
HIV/AIDS in vendor who continue got infected who are HIV are HIV who are HIV all seven
State/union territory own home has HIV/AIDS teaching with HIV/AIDS negative negative negative indicators
India 74.3 69.2 75.9 58.9 73.2 65.4 72.3 24.3

North
Chandigarh 88.4 76.0 78.0 83.7 74.7 72.1 80.0 49.7
Delhi 85.9 80.3 86.6 66.1 79.1 71.8 75.7 38.5
Haryana 84.5 78.9 81.6 74.1 77.7 77.0 80.0 44.2
Jammu & Kashmir 66.2 74.6 79.4 63.9 79.2 77.5 79.0 34.6
Ladakh 62.4 64.8 74.1 60.8 79.3 66.9 72.0 27.4
Punjab 79.8 67.5 71.8 76.7 68.8 68.0 71.4 35.2
Rajasthan 76.0 78.2 80.3 70.3 75.1 61.0 69.2 31.2
Uttarakhand 80.7 72.4 77.6 74.6 75.2 66.4 74.2 35.7
Central
Chhattisgarh 77.7 74.5 79.4 71.6 75.6 63.7 71.8 30.6
Madhya Pradesh 73.9 60.7 67.4 78.0 62.9 56.8 62.4 27.0
Uttar Pradesh 70.0 67.4 70.0 72.6 67.6 61.2 63.3 29.4
East
Bihar 81.5 65.2 69.5 82.5 64.7 60.2 64.4 35.2
Jharkhand 86.2 75.3 76.9 84.4 75.8 74.6 74.5 50.2
Odisha 77.5 56.9 72.1 82.4 69.4 68.0 68.0 33.9
West Bengal 59.3 56.7 60.9 75.4 58.2 58.3 58.9 19.6
Northeast
Assam 75.6 69.1 74.9 68.1 71.9 49.9 69.8 23.7
Manipur 87.0 85.9 89.2 87.3 87.3 78.9 89.9 59.8
Meghalaya 67.2 37.5 49.1 40.5 47.0 46.3 47.3 9.5
Mizoram 95.7 89.4 96.4 49.7 91.9 83.7 96.4 38.3
Nagaland 64.8 63.7 75.5 40.9 73.9 62.3 74.2 21.8
Sikkim 64.1 67.4 89.2 62.7 87.0 82.2 88.7 22.4
Tripura 49.7 59.4 68.0 67.7 66.1 61.4 62.7 22.1
West
Daman & Diu 55.7 77.4 74.7 56.6 79.8 79.2 76.8 17.4
Goa 79.8 83.0 94.8 37.7 93.2 56.5 86.7 18.7
Gujarat 87.9 72.4 80.7 67.4 78.3 74.2 77.3 33.6
Maharashtra 78.8 74.1 83.0 45.9 79.7 67.5 77.6 21.1
South
Andhra Pradesh 66.4 72.1 79.2 18.9 77.5 67.9 80.6 5.3
Karnataka 78.8 74.8 85.9 33.0 84.8 73.4 83.5 14.4
Kerala 65.3 78.9 85.2 52.1 85.5 74.0 85.2 25.4
Lakshadweep 53.7 86.8 90.5 52.0 82.8 61.0 94.4 17.5
Puducherry 76.4 63.4 77.0 41.0 79.8 67.0 78.7 20.7
Tamil Nadu 65.7 52.2 62.6 40.8 59.9 58.8 65.2 12.7
Telangana 65.4 70.4 80.7 29.4 78.3 66.5 78.6 11.4
543
Table 13.8 Attitudes toward negotiating sex with husband
Percentage of women and men age 15-49 who believe that a wife is justified in refusing to have sexual intercourse with her husband if
she believes that he has a sexually transmitted disease, and, for men only, percentage who believe that a wife is justified in refusing to
have sex with her husband or asking that they use a condom if she believes that her husband has a sexually transmitted disease, by
Women Men
Wife is justified
Wife is Wife is Wife is justified in refusing sex
justified in justified in in asking that or asking that
refusing to Number refusing to they use a they use a Number
Background characteristic have sex of women have sex condom condom of men
Age
15-24 84.1 36,049 81.0 85.1 89.5 30,769
15-19 80.4 18,240 78.6 82.0 87.1 16,385
20-24 87.9 17,809 83.7 88.6 92.3 14,384
25-29 89.3 17,398 83.7 89.6 92.8 14,195
30-39 89.1 29,853 85.1 89.0 92.9 26,137
40-49 88.1 24,714 84.3 87.5 92.2 22,043
Residence
Urban 88.8 34,839 84.5 89.5 92.8 32,852
Rural 86.5 73,175 82.7 86.3 90.9 60,291
Schooling
No schooling 86.7 24,485 78.2 80.4 87.1 9,982
<5 years complete 85.0 5,715 80.6 84.8 90.6 5,842
5-7 years complete 86.7 14,547 82.3 86.4 90.8 12,082
8-9 years complete 86.0 19,237 83.0 86.3 90.7 18,472
10-11 years complete 86.4 16,278 83.6 88.4 92.0 16,735
12 or more years complete 89.9 27,751 86.0 90.9 94.0 30,032
Marital status
Never married 82.1 25,505 81.3 85.7 89.8 36,503
Currently married 89.0 77,729 84.8 88.7 92.8 55,475
Widowed/divorced/
separated/deserted 86.8 4,780 76.5 84.1 88.9 1,165

more at a time in the
past 12 months1
Yes 87.1 7,907 81.9 86.6 91.3 13,289
No 87.3 100,107 83.6 87.6 91.6 79,855
Religion
Hindu 87.9 87,179 83.6 87.9 92.0 73,632
Muslim 83.4 15,138 82.4 85.4 90.2 14,633
Christian 85.4 2,495 80.8 84.0 87.4 2,426
Sikh 88.5 1,908 88.2 90.0 93.9 886
Buddhist/Neo-Buddhist 88.3 652 78.3 89.1 92.4 1,017
Jain 94.2 214 91.4 92.5 94.9 280
Other 85.1 428 87.2 89.2 93.3 269
Continued…
544
Table 13.8 Attitudes toward negotiating sex with husband—Continued
Percentage of women and men age 15-49 who believe that a wife is justified in refusing to have sexual intercourse with her husband if
she believes that he has a sexually transmitted disease, and, for men only, percentage who believe that a wife is justified in refusing to
have sex with her husband or asking that they use a condom if she believes that her husband has a sexually transmitted disease, by
Women Men
Wife is justified
Wife is Wife is Wife is justified in refusing sex
justified in justified in in asking that or asking that
refusing to Number refusing to they use a they use a Number
Background characteristic have sex of women have sex condom condom of men
Caste/tribe
Scheduled caste 87.3 23,427 83.4 87.6 92.1 18,977
Scheduled tribe 86.1 9,909 82.6 84.0 89.5 8,441
Other backward class 87.9 47,251 83.6 88.7 92.5 38,986
Other 86.8 26,733 83.3 86.8 90.9 26,244
Don't know 76.7 694 72.3 72.8 78.2 496
Wealth quintile
Lowest 84.5 19,904 80.0 80.9 87.7 15,606
Second 85.8 22,049 82.5 86.3 90.8 18,497
Middle 86.8 22,252 83.5 88.3 92.2 19,829
Fourth 87.8 22,376 84.7 89.6 93.0 20,658
Highest 91.2 21,432 85.3 90.8 93.4 18,553
Total age 15-49 87.2 108,014 83.3 87.4 91.6 93,144
Age 50-54 na na 83.1 85.8 91.4 8,695
Total age 15-54 na na 83.3 87.3 91.6 101,839
na = Not applicable
1
545
Table 13.9 Attitudes toward negotiating sex with husband by state/union territory
Percentage of women and men age 15-49 who believe that a wife is justified in refusing to have sexual intercourse
with her husband if she believes that he has a sexually transmitted disease, and, for men only, percentage who believe
that a wife is justified in refusing to have sex with her husband or asking that they use a condom if she believes that
her husband has a sexually transmitted disease, by state/union territory, India, 2019-21
Women Men
Wife is justified in
Wife is justified Wife is justified Wife is justified in refusing sex or
in refusing in refusing asking that they asking that they
State/union territory to have sex to have sex use a condom use a condom
India 87.2 83.3 87.4 91.6

North
Chandigarh 89.5 89.4 89.2 94.4
Delhi 95.8 93.4 95.6 97.3
Haryana 91.2 90.5 92.3 95.3
Jammu & Kashmir 79.1 77.6 80.0 84.7
Ladakh 81.2 81.7 78.5 85.6
Punjab 88.9 87.4 91.2 93.8
Rajasthan 91.6 92.3 95.2 97.8
Uttarakhand 94.4 90.6 93.3 95.8
Central
Chhattisgarh 92.7 87.0 92.0 95.4
Madhya Pradesh 89.7 84.4 89.0 93.2
Uttar Pradesh 88.7 84.1 88.2 92.0
East
Bihar 87.3 85.4 86.5 92.3
Jharkhand 91.3 91.4 90.4 95.6
Odisha 88.5 80.3 86.7 89.2
West Bengal 75.0 80.2 79.9 86.9
Northeast
Assam 85.8 82.8 86.8 90.6
Manipur 81.0 82.2 92.6 95.0
Meghalaya 77.1 50.5 59.9 63.1
Mizoram 85.0 84.2 89.5 92.1
Nagaland 89.5 78.3 81.5 83.6
Sikkim 82.6 65.0 71.4 74.6
Tripura 84.7 89.1 92.5 94.8
West
Daman & Diu 83.9 82.8 83.5 88.5
Goa 90.9 98.4 99.0 100.0
Gujarat 86.3 78.9 85.6 90.2
Maharashtra 91.3 87.0 91.1 93.6
South
Andhra Pradesh 83.2 79.4 87.2 90.2
Karnataka 85.8 82.3 90.8 95.0
Kerala 80.2 84.4 84.8 88.3
Lakshadweep 85.6 97.5 97.4 98.3
Puducherry 81.4 89.5 91.7 93.0
Tamil Nadu 88.3 88.8 94.0 95.7
Telangana 86.5 72.0 83.2 88.2
546
Table 13.10.1 Multiple sexual partners and higher-risk sexual intercourse in the past 12 months: Women
Among all women age 15-49 who had sexual intercourse in the past 12 months, percentage who had sexual intercourse with more than one sexual partner in the past 12 months, and percentage who had intercourse
in the past 12 months with a person who was neither their husband nor lived with them; among those having more than one partner in the past 12 months, percentage reporting that a condom was used during
last intercourse; among women age 15-49 who had sexual intercourse in the past 12 months with a person who was neither their husband nor lived with them, percentage who used a condom during last sexual
intercourse with such a partner; and among women who ever had sexual intercourse, mean number of sexual partners during their lifetime, according to background characteristics, India, 2019-21
Women who had intercourse in

the past 12 months with a person
Women who had 2 or more who was neither their husband Women who ever had
All women partners in the past 12 months nor lived with them sexual intercourse1
Percentage who had Percentage who
intercourse in the Percentage who reported using a
Percentage who past 12 months with reported using a condom during Mean number
had 2 or more a person who was condom during last sexual of sexual
Background partners in the neither their husband Number last sexual Number intercourse with Number partners in Number
characteristic past 12 months nor lived with them of women intercourse of women such a partner of women lifetime of women
Age
15-24 0.2 0.8 36,049 35.8 65 62.8 300 1.6 13,547
15-19 0.1 0.9 18,240 * 20 62.0 172 1.6 2,592
20-24 0.3 0.7 17,809 33.7 45 63.9 128 1.6 10,955
25-29 0.5 0.5 17,398 20.9 83 72.7 88 1.8 15,352
30-39 0.5 0.3 29,853 39.5 146 39.5 101 1.8 28,490
547
40-49 0.3 0.2 24,714 32.3 76 (27.4) 38 1.7 23,537
Residence
Urban 0.3 0.6 34,839 39.3 99 67.3 201 1.5 25,186
Rural 0.4 0.4 73,175 30.9 271 51.3 325 1.8 55,741
Schooling
No schooling 0.4 0.3 24,485 27.0 106 26.1 72 1.8 22,797
<5 years complete 0.5 0.4 5,715 (14.8) 30 * 22 1.7 5,223
5-7 years complete 0.5 0.4 14,547 25.1 72 44.5 52 1.8 12,395
8-9 years complete 0.3 0.5 19,237 37.1 55 45.9 90 1.8 13,041
10-11 years complete 0.2 0.4 16,278 36.6 35 72.9 71 1.7 9,955
12 or more years complete 0.3 0.8 27,751 53.3 72 72.1 219 1.6 17,516
Marital status
Never married2 0.0 1.4 25,505 * 11 68.4 368 1.6 817
Currently married 0.4 0.2 77,729 32.6 349 29.4 118 1.7 75,711
Widowed/divorced/
separated/deserted 0.2 0.9 4,780 * 10 (39.6) 41 1.6 4,398
Continued…
Table 13.10.1 Multiple sexual partners and higher-risk sexual intercourse in the past 12 months: Women—Continued
Among all women age 15-49 who had sexual intercourse in the past 12 months, percentage who had sexual intercourse with more than one sexual partner in the past 12 months, and percentage who had intercourse
in the past 12 months with a person who was neither their husband nor lived with them; among those having more than one partner in the past 12 months, percentage reporting that a condom was used during
last intercourse; among women age 15-49 who had sexual intercourse in the past 12 months with a person who was neither their husband nor lived with them, percentage who used a condom during last sexual
intercourse with such a partner; and among women who ever had sexual intercourse, mean number of sexual partners during their lifetime, according to background characteristics, India, 2019-21
Women who had intercourse in

the past 12 months with a person
Women who had 2 or more who was neither their husband Women who ever had
All women partners in the past 12 months nor lived with them sexual intercourse1
Background partners in the neither their husband Number last sexual Number intercourse with Number partners in Number
characteristic past 12 months nor lived with them of women intercourse of women such a partner of women lifetime of women

more at a time in the past 12 months3
Yes 0.8 1.1 7,907 50.1 66 70.3 91 2.3 6,232
No 0.3 0.4 100,107 29.5 304 54.7 435 1.7 74,695
Religion
Hindu 0.3 0.5 87,179 34.2 300 57.9 398 1.8 65,874
Muslim 0.4 0.5 15,138 31.7 54 53.9 74 1.4 10,970
548
Christian 0.2 0.7 2,495 26.8 6 28.4 18 1.4 1,740
Sikh 0.1 0.9 1,908 * 2 * 17 1.7 1,379
Buddhist/Neo-Buddhist 0.6 0.7 652 * 4 * 4 1.0 495
Jain 0.0 0.0 214 nc 0 nc 0 1.4 150
Other 1.0 3.4 428 * 4 (83.7) 15 1.3 318
Caste/tribe
Scheduled caste 0.4 0.5 23,427 25.4 99 45.1 112 1.8 17,539
Scheduled tribe 0.5 0.8 9,909 26.0 53 30.3 75 1.9 7,483
Other backward class 0.2 0.3 47,251 39.9 118 62.2 161 1.8 35,413
Other 0.4 0.7 26,733 38.9 95 72.2 177 1.5 19,925
Don't know 0.8 0.1 694 * 6 * 1 1.2 566
Wealth quintile
Lowest 0.4 0.5 19,904 19.2 89 40.5 99 1.7 15,323
Second 0.4 0.5 22,049 31.3 94 50.4 110 1.8 16,614
Middle 0.3 0.5 22,252 37.4 78 47.1 107 1.9 16,709
Fourth 0.3 0.4 22,376 31.7 63 74.4 87 1.7 16,464
Highest 0.2 0.6 21,432 58.3 47 74.3 123 1.6 15,817
Total 0.3 0.5 108,014 33.2 370 57.4 526 1.7 80,926
Note: Figures in parentheses are based on 25-49 unweighted cases. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been suppressed.
nc = No cases
1 Means are calculated excluding respondents who gave non-numeric responses; 2 Includes women who are married, but whose gauna has not been performed. If women who are married, but whose gauna has
not been performed, report having sex with their husband, the sex is not considered higher risk; 3 Visits to parental/in-laws' home excluded
Table 13.10.2 Multiple sexual partners and higher-risk sexual intercourse in the past 12 months: Men
Among all men age 15-49 who had sexual intercourse in the past 12 months, percentage who had sexual intercourse with more than one sexual partner in the past 12 months, and percentage who had intercourse
in the past 12 months with a person who was neither their wife nor lived with them; among those having more than one partner in the past 12 months, percentage reporting that a condom was used during last
intercourse; among men age 15-49 who had sexual intercourse in the past 12 months with a person who was neither their wife nor lived with them, percentage who used a condom during last sexual intercourse
with such a partner; and among men who ever had sexual intercourse, mean number of sexual partners during their lifetime, according to background characteristics, according to background characteristics, India,
2019-21
Men who had intercourse in the

past 12 months with a person
Men who had 2 or more partners who was neither their wife nor Men who ever had sexual
All men in the past 12 months lived with them intercourse1
Background partners in the neither their wife nor Number last sexual Number intercourse with Number partners in Number
characteristic past 12 months lived with them of men intercourse of men such a partner of men lifetime of men
Age
15-24 1.1 6.4 30,769 50.0 334 60.6 1,966 2.0 6,240
15-19 0.6 4.0 16,385 49.1 96 56.9 648 2.2 1,240
20-24 1.7 9.2 14,384 50.4 237 62.4 1,319 2.0 5,000
25-29 1.5 5.9 14,195 48.8 219 62.8 835 2.0 9,251
30-39 1.5 2.2 26,137 22.2 379 61.0 568 2.1 22,843
40-49 0.8 0.9 22,043 17.3 179 40.2 199 2.2 20,160
549
Residence
Urban 1.1 4.1 32,852 33.4 368 68.4 1,363 1.7 19,602
Rural 1.2 3.7 60,291 35.8 744 54.9 2,205 2.3 38,892
Schooling
No schooling 1.2 2.2 9,982 28.1 117 49.6 215 2.5 8,065
<5 years complete 1.4 2.9 5,842 23.3 81 35.7 172 1.9 4,866
5-7 years complete 1.2 2.4 12,082 24.8 142 50.5 293 2.4 9,047
8-9 years complete 1.3 3.5 18,472 33.9 243 58.0 650 2.0 10,895
10-11 years complete 1.0 3.3 16,735 28.9 172 59.4 555 2.1 9,253
12 or more years complete 1.2 5.6 30,032 47.7 355 66.5 1,683 1.9 16,368
Marital status
Never married2 1.0 7.4 40,019 62.4 398 63.6 2,946 1.9 8,339
Married once 1.2 1.0 55,940 18.7 651 44.4 570 1.9 52,440
Married more than once 2.3 0.7 4,611 16.3 106 (34.8) 30 4.4 4,358
Widowed/divorced/
separated/deserted 1.4 6.7 1,270 * 18 37.6 85 2.2 1,142
Away from home for 1 month or more at a
time in the past 12 months3
Yes 2.6 6.1 13,289 40.9 340 56.8 808 2.1 8,612
No 1.0 3.5 79,855 32.4 771 61.0 2,759 2.1 49,883
Continued…
Table 13.10.2 Multiple sexual partners and higher-risk sexual intercourse in the past 12 months: Men—Continued
Among all men age 15-49 who had sexual intercourse in the past 12 months, percentage who had sexual intercourse with more than one sexual partner in the past 12 months, and percentage who had intercourse in the past 12
months with a person who was neither their wife nor lived with them; among those having more than one partner in the past 12 months, percentage reporting that a condom was used during last intercourse; among men age
15-49 who had sexual intercourse in the past 12 months with a person who was neither their wife nor lived with them, percentage who used a condom during last sexual intercourse with such a partner; and among men who
ever had sexual intercourse, mean number of sexual partners during their lifetime, according to background characteristics, according to background characteristics, India, 2019-21
Men who had intercourse in the

past 12 months with a person
Men who had 2 or more partners who was neither their wife nor Men who ever had sexual
All men in the past 12 months lived with them intercourse1
Background partners in the neither their wife nor Number last sexual Number intercourse with Number partners in Number
characteristic past 12 months lived with them of men intercourse of men such a partner of men lifetime of men
Religion
Hindu 1.2 4.0 73,632 37.4 889 60.2 2,951 2.2 46,833
Muslim 1.0 2.6 14,633 23.1 151 64.1 385 1.7 8,735
Christian 1.2 3.8 2,426 (6.1) 30 44.7 92 1.9 1,399
Sikh 1.5 6.0 886 (54.2) 13 50.6 53 1.9 535
Buddhist/Neo-Buddhist 2.7 7.8 1,017 * 28 58.2 79 1.7 682
Jain 0.0 0.7 280 nc 0 * 2 1.1 133
550
Other 0.2 2.1 269 (36.0) 1 34.8 6 1.2 178
Caste/tribe
Scheduled caste 1.5 4.4 18,977 41.1 279 63.2 828 2.1 12,518
Scheduled tribe 1.3 4.2 8,441 37.9 112 39.3 356 2.4 5,560
Other backward class 1.1 3.8 38,986 29.8 422 59.7 1,465 2.2 24,177
Other 1.1 3.4 26,244 36.3 293 66.1 904 1.9 15,956
Don't know 1.2 3.1 496 * 6 * 16 1.6 284
Wealth quintile
Lowest 1.3 3.4 15,606 28.4 208 43.9 534 2.1 10,371
Second 1.2 3.5 18,497 27.7 226 50.2 650 2.2 11,777
Middle 1.0 3.2 19,829 41.0 189 55.6 641 2.5 12,440
Fourth 1.3 4.1 20,658 34.1 271 65.9 856 2.0 12,737
Highest 1.2 4.8 18,553 44.6 218 74.5 886 1.7 11,170
Total age 15-49 1.2 3.8 93,144 35.0 1,111 60.0 3,567 2.1 58,495
Age 50-54 0.7 0.7 8,695 9.9 62 42.0 63 1.9 7,785
Total age 15-54 1.2 3.6 101,839 33.7 1,173 59.7 3,631 2.1 66,280
nc = No cases
1 Means are calculated excluding respondents who gave non-numeric responses;
2 Includes men who are married, but whose gauna has not been performed. If men who are married, but whose gauna has not been performed, report having sex with their wife, the sex is not considered higher risk
Table 13.11 Multiple sexual partners and higher-risk sexual intercourse in the past 12 months by state/union territory
Among all women and men age 15-49, percentage who had sexual intercourse with more than one sexual partner in the past 12 months, and percentage who had intercourse in the past 12 months with a person
who was neither their husband nor lived with them; among those having more than one partner in the past 12 months, percentage reporting that a condom was used during last intercourse; among women and
men age 15-49 who had sexual intercourse in the past 12 months with a person who was neither their husband nor lived with them, percentage who used a condom during last sexual intercourse with such a
partner; and among women and men who ever had sexual intercourse, mean number of sexual partners during their lifetime, according to state/union territory, India, 2019-21
Women who
had intercourse Men who had
in the past 12 intercourse in the
months with a past 12 months
Women who had person who was Men who had 2 with a person
2 or more neither their Women who ever or more who was neither Men who ever
partners in the husband nor had sexual partners in the their wife nor had sexual
All women past 12 months lived with them intercourse1 All men past 12 months lived with them intercourse1
Percentage
who had Percentage
intercourse who had
in the past intercourse
12 months in the past
with a 12 months
person with a
Percentage who was Percentage who person Percentage who Percentage who
551
who had 2 neither Percentage who reported using a Percentage who was reported using reported using a
or more their reported using a condom during who had 2 or neither a condom condom during
partners in husband condom during last sexual Mean number of more partners their wife during last last sexual Mean number of
the past nor lived last sexual intercourse with sexual partners in in the past 12 nor lived sexual intercourse with sexual partners
State/union territory 12 months with them intercourse such a partner lifetime months with them intercourse such a partner in lifetime
India 0.3 0.5 33.2 57.4 1.7 1.2 3.8 35.0 60.0 2.1
North
Chandigarh 0.0 0.0 nc nc 1.8 0.0 1.8 nc 46.5 1.0
Delhi 0.1 0.6 100.0 86.5 1.1 2.0 7.2 48.3 72.8 1.6
Haryana 0.7 0.2 47.3 35.0 1.8 1.1 6.7 47.0 70.1 1.5
Jammu & Kashmir 1.0 0.0 38.0 nc 1.5 0.2 0.6 31.1 66.1 1.1
Ladakh 0.4 0.0 0.0 nc 2.2 0.0 1.1 nc 59.8 1.2
Punjab 0.1 0.3 59.9 30.1 1.3 1.8 5.9 55.7 56.9 1.8
Rajasthan 0.2 0.9 47.8 74.6 3.1 1.6 6.4 40.2 73.8 1.8
Uttarakhand 0.1 0.0 0.0 nc 1.1 1.2 6.3 57.1 61.0 4.7
Central
Chhattisgarh 0.2 0.5 17.6 21.2 2.0 1.2 5.0 29.6 56.0 2.4
Madhya Pradesh 0.5 0.5 21.0 40.5 2.5 2.0 5.5 43.0 56.9 1.6
Uttar Pradesh 0.4 0.7 55.4 70.5 2.2 1.2 5.3 59.5 58.5 3.0
Continued…
Table 13.11 Multiple sexual partners and higher-risk sexual intercourse in the past 12 months by state/union territory—Continued
Women who
Percentage
who had Percentage
intercourse who had
with a 12 months
person with a
552
East
Bihar 0.4 0.4 11.8 23.4 1.5 1.4 5.0 40.1 50.9 1.6
Jharkhand 0.4 0.4 31.7 23.1 1.3 1.7 3.6 24.4 38.3 2.1
Odisha 0.2 0.2 26.9 2.7 1.3 0.7 1.1 24.3 39.3 2.6
West Bengal 0.4 1.0 20.5 52.4 1.0 0.8 1.7 29.2 63.6 1.4
Northeast
Assam 0.6 0.3 28.5 40.0 2.1 0.4 1.1 10.2 62.6 1.8
Manipur 0.0 0.1 nc 0.0 1.0 0.1 3.0 0.0 24.8 1.5
Meghalaya 1.0 1.1 37.7 45.3 1.8 0.3 2.6 38.0 40.2 9.6
Mizoram 0.0 0.7 nc 7.1 1.1 0.4 3.3 0.0 29.0 2.2
Nagaland 0.4 2.3 31.0 11.6 1.2 0.2 8.8 62.6 59.5 2.1
Sikkim 1.5 3.6 35.6 52.3 1.1 1.0 12.8 63.2 71.8 7.1
Tripura 0.0 0.1 nc 0.0 1.0 0.6 0.4 31.9 7.6 2.4
Continued…
Table 13.11 Multiple sexual partners and higher-risk sexual intercourse in the past 12 months by state/union territory—Continued
Women who
Percentage
who had Percentage
intercourse who had
with a 12 months
person with a
553
West
Daman & Diu 0.0 0.0 nc nc 1.3 0.5 7.3 0.0 84.0 1.3
Goa 0.0 5.2 nc 100.0 1.0 1.1 8.8 69.3 96.6 1.1
Gujarat 0.4 0.7 6.3 51.2 1.5 0.9 5.5 18.8 42.9 1.6
Maharashtra 0.2 0.4 23.4 88.7 1.3 1.5 4.4 44.9 86.3 1.8
South
Andaman & Nicobar Islands 0.0 0.1 nc 0.0 1.3 1.5 3.8 64.0 84.1 2.8
Andhra Pradesh 0.1 0.1 0.0 0.0 1.4 2.0 3.8 10.2 31.3 4.7
Karnataka 0.8 0.4 51.1 74.6 1.2 0.9 2.8 33.1 59.2 2.7
Kerala 0.1 0.0 0.0 nc 1.4 0.1 0.5 0.0 47.9 1.0
Lakshadweep 0.0 0.0 nc nc 1.5 0.0 0.0 nc nc 1.0
Puducherry 0.1 0.1 100.0 0.0 2.0 1.5 2.4 1.4 60.5 1.2
Tamil Nadu 0.1 0.0 53.4 nc 2.4 0.5 0.8 7.3 49.8 1.8
Telangana 0.4 0.4 0.0 36.8 1.7 2.1 4.4 17.0 47.6 3.0
nc = No cases
1
Means are calculated excluding respondents who gave non-numeric responses.
Table 13.12 Payment for sexual intercourse and condom use at last paid sexual intercourse: Men
Percentage of men age 15-49 reporting payment for sexual intercourse in the past 12 months, and among
them, percentage reporting that a condom was used the last time they paid for sexual intercourse, by
Payment for sexual

intercourse in the For last paid sexual intercourse in
past 12 months the past 12 months
Number of men
Percentage who paid for
who paid for Percentage sexual intercourse
sexual Number of reporting in the past
Background characteristic intercourse men condom use 12 months
Age
15-24 1.6 30,769 49.1 485
15-19 1.0 16,385 41.4 164
20-24 2.2 14,384 53.0 321
25-29 1.9 14,195 57.6 275
30-39 1.6 26,137 56.1 406
40-49 1.0 22,043 39.3 223
Residence
Urban 1.6 32,852 51.7 530
Rural 1.4 60,291 51.0 859
Schooling
No schooling 1.4 9,982 50.4 139
<5 years complete 1.8 5,842 41.8 108
5-7 years complete 1.4 12,082 46.9 171
8-9 years complete 1.5 18,472 49.2 282
10-11 years complete 1.3 16,735 48.3 218
12 or more years complete 1.6 30,032 57.9 471
Marital status
Never married 2.2 36,503 57.9 792
Currently married 1.0 55,475 39.9 538
Widowed/divorced/
separated/deserted 5.1 1,165 66.0 60

more at a time in the past 12 months
Yes 3.3 13,289 52.7 440
No 1.2 79,855 50.6 950
Religion
Hindu 1.6 73,632 51.7 1,177
Muslim 1.2 14,633 44.3 168
Christian 0.8 2,426 (62.1) 20
Sikh 1.8 886 (78.8) 16
Buddhist/Neo-Buddhist 0.7 1,017 * 7
Jain 0.0 280 nc 0
Other 0.2 269 * 1
Continued…
554
Table 13.12 Payment for sexual intercourse and condom use at last paid sexual intercourse: Men—Continued
Percentage of men age 15-49 reporting payment for sexual intercourse in the past 12 months, and among
them, percentage reporting that a condom was used the last time they paid for sexual intercourse, by
Payment for sexual

intercourse in the For last paid sexual intercourse in
past 12 months the past 12 months
Percentage Number of men who
who paid for Percentage paid for sexual
sexual Number of reporting intercourse in the
Background characteristic intercourse men condom use past 12 months
Caste/tribe
Scheduled caste 1.8 18,977 55.0 332
Scheduled tribe 1.6 8,441 47.8 138
Other backward class 1.7 38,986 48.3 658
Other 1.0 26,244 57.5 254
Don't know 1.4 496 * 7
Wealth quintile
Lowest 1.6 15,606 45.5 252
Second 1.7 18,497 48.6 311
Middle 1.3 19,829 51.1 266
Fourth 1.6 20,658 45.1 336
Highest 1.2 18,553 70.9 225
Total age 15-49 1.5 93,144 51.3 1,389
Age 50-54 1.0 8,695 27.2 85
Total age 15-54 1.4 101,839 49.9 1,475
Note: Figures in parentheses are based on 25-49 unweighted cases. An asterisk indicates that a figure is based on fewer than
25 unweighted cases and has been suppressed.
nc = No cases
555
Table 13.13.1 Coverage of prior HIV testing: Women
Percentage of women age 15-49 who know where to get an HIV test, percent distribution of women by testing status and by whether they
received the results of the last test, percentage of women ever tested, and percentage of women who were tested for HIV in the past 12 months
and received the results of the last test, according to background characteristics, India, 2019-21
Percentage
Percent distribution of women by who have
testing status and by whether they been tested
received the results of the last test for HIV in
the past 12
Percentage Ever tested, months and
who know Ever tested did not received the
where to get and received receive Never Percentage results of Number
Background characteristic an HIV test results results tested1 Total ever tested the last test of women
Age
15-24 51.8 10.4 1.5 88.1 100.0 11.9 5.4 36,049
15-19 45.8 3.1 0.5 96.4 100.0 3.6 1.7 18,240
20-24 57.8 17.8 2.6 79.6 100.0 20.4 9.1 17,809
25-29 62.0 28.6 3.8 67.5 100.0 32.5 11.3 17,398
30-39 61.1 26.0 2.8 71.2 100.0 28.8 7.1 29,853
40-49 55.1 15.8 1.9 82.3 100.0 17.7 2.8 24,714
Residence
Urban 67.5 26.2 2.6 71.2 100.0 28.8 7.9 34,839
Rural 51.6 15.3 2.2 82.4 100.0 17.6 5.4 73,175
Schooling
No schooling 41.6 10.0 2.1 88.0 100.0 12.0 3.0 24,485
<5 years complete 48.0 15.2 2.3 82.5 100.0 17.5 3.7 5,715
5-7 years complete 52.8 18.0 2.6 79.5 100.0 20.5 5.6 14,547
8-9 years complete 53.8 17.2 2.4 80.3 100.0 19.7 5.6 19,237
10-11 years complete 64.0 22.0 2.2 75.8 100.0 24.2 7.2 16,278
Marital status
Never married 51.3 2.3 0.4 97.3 100.0 2.7 1.1 25,505
Widowed/divorced/
Away from home for 1 month

or more at a time in the
past 12 months2
Yes 60.3 20.2 2.8 77.0 100.0 23.0 9.6 7,907
No 56.5 18.7 2.3 79.0 100.0 21.0 5.9 100,107
Religion
Hindu 57.5 19.1 2.4 78.5 100.0 21.5 6.2 87,179
Muslim 48.9 14.4 2.3 83.3 100.0 16.7 5.3 15,138
Christian 70.8 35.4 2.6 62.0 100.0 38.0 10.4 2,495
Sikh 63.7 18.0 1.5 80.5 100.0 19.5 6.6 1,908
Jain 86.4 24.5 1.3 74.3 100.0 25.7 7.2 214
Other 47.3 15.8 1.1 83.1 100.0 16.9 9.5 428
Continued…
556
Table 13.13.1 Coverage of prior HIV testing: Women—Continued
Percentage of women age 15-49 who know where to get an HIV test, percent distribution of women by testing status and by whether they
received the results of the last test, percentage of women ever tested, and percentage of women who were tested for HIV in the past 12 months
and received the results of the last test, according to background characteristics, India, 2019-21
Percentage
Percent distribution of women by who have
testing status and by whether they been tested
received the results of the last test for HIV in
the past 12
Background characteristic an HIV test results results tested1 Total ever tested the last test of women
Caste/tribe
Scheduled caste 55.4 18.0 2.2 79.7 100.0 20.3 6.1 23,427
Scheduled tribe 51.1 14.0 2.5 83.5 100.0 16.5 5.2 9,909
Other 58.9 20.6 2.2 77.2 100.0 22.8 6.6 26,733
Don't know 31.6 13.7 1.1 85.1 100.0 14.9 6.7 694
Wealth quintile
Lowest 37.0 7.8 2.0 90.2 100.0 9.8 3.0 19,904
Second 48.1 12.8 2.1 85.1 100.0 14.9 4.8 22,049
Middle 58.9 20.5 2.5 77.0 100.0 23.0 7.0 22,252
Fourth 64.8 23.9 2.4 73.7 100.0 26.3 7.4 22,376
Highest 73.3 28.4 2.7 68.9 100.0 31.1 8.7 21,432
Total 56.7 18.8 2.3 78.8 100.0 21.2 6.2 108,014

1
Includes don't know/missing
2
Visits to parental/in-laws' home excluded
557
Table 13.13.2 Coverage of prior HIV testing: Men
Percentage of men age 15-49 who know where to get an HIV test, percent distribution of men by testing status and by whether they received
the results of the last test, percentage of men ever tested, and percentage of men who were tested for HIV in the past 12 months and received
the results of the last test, according to background characteristics, India, 2019-21
Percentage
Percent distribution of men by testing who have
status and by whether they received the been tested
results of the last test for HIV in
the past 12
Background characteristic an HIV test results results tested1 Total ever tested the last test of men
Age
15-24 65.8 2.7 0.4 96.9 100.0 3.1 1.7 30,769
15-19 60.9 1.5 0.3 98.2 100.0 1.8 1.1 16,385
20-24 71.4 4.2 0.5 95.3 100.0 4.7 2.5 14,384
25-29 73.6 9.4 1.3 89.3 100.0 10.7 4.7 14,195
30-39 73.9 13.1 1.3 85.6 100.0 14.4 4.6 26,137
40-49 70.5 10.5 1.1 88.5 100.0 11.5 3.3 22,043
Residence
Urban 76.7 11.0 1.2 87.8 100.0 12.2 4.1 32,852
Rural 66.9 7.1 0.8 92.1 100.0 7.9 3.0 60,291
Schooling
No schooling 52.8 3.8 0.6 95.6 100.0 4.4 1.5 9,982
<5 years complete 54.3 5.6 0.5 93.9 100.0 6.1 2.0 5,842
5-7 years complete 62.8 6.3 1.1 92.6 100.0 7.4 2.4 12,082
8-9 years complete 66.2 6.5 0.6 92.9 100.0 7.1 2.4 18,472
10-11 years complete 73.8 8.8 0.8 90.4 100.0 9.6 3.3 16,735
Marital status
Never married 69.1 4.1 0.4 95.4 100.0 4.6 2.5 36,503
Widowed/divorced/
Away from home for 1 month

or more at a time in the
past 12 months
Yes 69.7 10.3 1.0 88.7 100.0 11.3 4.5 13,289
No 70.5 8.2 0.9 90.9 100.0 9.1 3.2 79,855
Religion
Hindu 71.8 8.9 1.0 90.1 100.0 9.9 3.6 73,632
Muslim 61.3 5.3 0.5 94.2 100.0 5.8 2.0 14,633
Christian 73.1 12.9 1.0 86.1 100.0 13.9 4.4 2,426
Sikh 79.3 10.2 0.7 89.1 100.0 10.9 5.9 886
Jain 89.3 9.9 0.5 89.7 100.0 10.3 1.6 280
Other 73.8 9.9 0.3 89.8 100.0 10.2 1.0 269
Continued…
558
Table 13.13.2 Coverage of prior HIV testing: Men—Continued
Percentage of men age 15-49 who know where to get an HIV test, percent distribution of men by testing status and by whether they received
the results of the last test, percentage of men ever tested, and percentage of men who were tested for HIV in the past 12 months and received
the results of the last test, according to background characteristics, India, 2019-21
Percentage
who have
Percent distribution of men by testing
been tested
status and by whether they received the
for HIV in
results of the last test
the past 12
Background characteristic an HIV test results results tested1 Total ever tested the last test of men
Caste/tribe
Scheduled caste 69.8 8.4 1.1 90.5 100.0 9.5 3.2 18,977
Scheduled tribe 64.8 6.3 0.6 93.1 100.0 6.9 2.8 8,441
Other 69.1 9.1 0.9 90.0 100.0 10.0 3.5 26,244
Don't know 47.5 3.0 0.6 96.4 100.0 3.6 1.0 496
Wealth quintile
Lowest 53.1 3.0 0.4 96.6 100.0 3.4 1.4 15,606
Second 64.2 5.7 0.7 93.6 100.0 6.4 2.6 18,497
Middle 70.5 8.2 0.8 91.0 100.0 9.0 3.3 19,829
Fourth 77.4 11.2 1.4 87.4 100.0 12.6 4.6 20,658
Highest 83.1 13.1 1.4 85.5 100.0 14.5 4.4 18,553
Total age 15-49 70.4 8.5 0.9 90.6 100.0 9.4 3.4 93,144
Age 50-54 69.0 9.4 1.0 89.7 100.0 10.3 3.2 8,695
Total age 15-54 70.3 8.6 0.9 90.5 100.0 9.5 3.3 101,839
1 Includes don't know/missing
559
Table 13.14.1 Coverage of prior HIV testing by state/union territory: Women
Percentage of women age 15-49 who know where to get an HIV test, percent distribution of women age 15-49 by testing status and by whether they received the
results of the last test, percentage of women age 15-49 ever tested, and percentage of women age 15-49 who were tested in the past 12 months and received the
results of the last test, according to state/union territory, India, 2019-21
Percent distribution of women by testing status and

Percentage who have
by whether they received the results of the last test
been tested for HIV in
Percentage who Ever tested Ever tested, did the past 12 months
know where to and received not receive Never Percentage and received the
State/union territory get an HIV test results results tested1 Total ever tested results of the last test
India 56.7 18.8 2.3 78.8 100.0 21.2 6.2
North
Chandigarh 68.4 30.7 3.0 66.3 100.0 33.7 8.7
Delhi 79.1 39.8 2.6 57.5 100.0 42.5 9.4
Haryana 58.8 15.3 2.6 82.1 100.0 17.9 5.6
Jammu & Kashmir 48.1 15.1 2.1 82.7 100.0 17.3 6.4
Ladakh 57.0 19.7 3.7 76.6 100.0 23.4 8.8
Punjab 65.8 16.8 2.0 81.2 100.0 18.8 6.4
Rajasthan 56.8 7.1 1.5 91.4 100.0 8.6 2.2
Uttarakhand 58.2 19.6 1.8 78.6 100.0 21.4 4.3
Central
Chhattisgarh 49.4 10.3 2.5 87.2 100.0 12.8 5.0
Madhya Pradesh 50.5 11.0 4.7 84.3 100.0 15.7 4.2
Uttar Pradesh 40.8 5.7 1.6 92.7 100.0 7.3 2.9
East
Bihar 35.0 5.8 1.9 92.3 100.0 7.7 2.6
Jharkhand 42.7 5.8 1.6 92.5 100.0 7.5 2.9
Odisha 68.4 25.1 2.1 72.8 100.0 27.2 8.3
West Bengal 45.5 14.6 2.3 83.1 100.0 16.9 4.4
Northeast
Assam 54.4 9.8 2.2 88.0 100.0 12.0 4.2
Manipur 84.6 42.5 2.9 54.6 100.0 45.4 13.0
Meghalaya 47.6 22.9 1.2 75.9 100.0 24.1 8.5
Mizoram 84.4 55.1 1.9 43.0 100.0 57.0 17.0
Nagaland 57.9 25.9 1.4 72.7 100.0 27.3 9.5
Sikkim 67.1 23.2 1.5 75.3 100.0 24.7 12.4
Tripura 38.2 14.6 1.0 84.4 100.0 15.6 6.6
West
Daman & Diu 46.2 18.7 1.3 80.0 100.0 20.0 8.2
Goa 92.3 46.6 2.7 50.7 100.0 49.3 6.2
Gujarat 50.3 9.5 2.5 87.9 100.0 12.1 4.1
Maharashtra 67.4 32.7 2.2 65.1 100.0 34.9 10.7
South
Andhra Pradesh 67.8 34.4 2.9 62.7 100.0 37.3 11.8
Karnataka 81.8 32.1 4.0 63.9 100.0 36.1 13.6
Kerala 73.3 45.4 1.8 52.7 100.0 47.3 9.1
Lakshadweep 59.4 23.9 0.0 76.1 100.0 23.9 7.5
Puducherry 91.1 51.7 1.7 46.6 100.0 53.4 12.9
Tamil Nadu 89.3 46.2 2.7 51.1 100.0 48.9 9.5
Telangana 74.2 34.7 3.4 61.9 100.0 38.1 12.2
1
560
Table 13.14.2 Coverage of prior HIV testing by state/union territory: Men
Percentage of men age 15-49 who know where to get an HIV test, percent distribution of men age 15-49 by testing status and by whether they received the results
of the last test, percentage of men age 15-49 ever tested, and percentage of men age 15-49 who were tested in the past 12 months and received the results of the
last test, according to state/union territory, India, 2019-21
Percent distribution of men by testing status and by

Percentage who have
whether they received the results of the last test
been tested for HIV in
Percentage who Ever tested Ever tested, did the past 12 months
know where to and received not receive Never Percentage and received the
State/union territory get an HIV test results results tested1 Total ever tested results of the last test
India 70.4 8.5 0.9 90.6 100.0 9.4 3.4
North
Chandigarh 83.7 12.8 4.2 83.0 100.0 17.0 4.9
Delhi 88.1 18.0 0.6 81.4 100.0 18.6 3.4
Haryana 78.9 6.6 0.7 92.6 100.0 7.4 2.4
Jammu & Kashmir 60.5 17.1 0.4 82.5 100.0 17.5 6.2
Ladakh 75.0 26.9 0.7 72.4 100.0 27.6 10.6
Punjab 80.0 7.9 1.1 91.0 100.0 9.0 3.9
Rajasthan 80.5 1.9 0.6 97.5 100.0 2.5 1.1
Uttarakhand 79.8 5.1 0.2 94.7 100.0 5.3 1.9
Central
Chhattisgarh 60.7 5.0 0.9 94.1 100.0 5.9 2.0
Madhya Pradesh 67.6 2.6 0.4 97.1 100.0 2.9 0.9
Uttar Pradesh 65.4 2.6 0.5 96.9 100.0 3.1 1.0
East
Bihar 64.9 3.9 1.0 95.1 100.0 4.9 1.6
Jharkhand 63.8 3.5 0.6 95.9 100.0 4.1 2.1
Odisha 88.7 11.3 1.1 87.6 100.0 12.4 3.0
West Bengal 45.1 3.7 0.1 96.1 100.0 3.9 1.4
Northeast
Assam 67.4 1.5 0.3 98.1 100.0 1.9 0.5
Manipur 84.4 19.1 0.4 80.5 100.0 19.5 2.3
Meghalaya 45.7 5.3 0.0 94.7 100.0 5.3 3.1
Mizoram 84.3 33.5 2.5 64.1 100.0 35.9 12.6
Nagaland 73.3 16.6 0.8 82.6 100.0 17.4 3.7
Sikkim 64.0 12.6 0.8 86.6 100.0 13.4 4.0
Tripura 44.6 5.2 0.1 94.7 100.0 5.3 2.3
West
Daman & Diu 50.9 7.5 0.2 92.3 100.0 7.7 2.6
Goa 85.8 29.2 0.0 70.8 100.0 29.2 3.2
Gujarat 62.8 3.0 1.1 95.9 100.0 4.1 1.3
Maharashtra 80.8 14.0 1.7 84.3 100.0 15.7 5.4
South
Andhra Pradesh 74.1 13.4 1.6 85.1 100.0 14.9 4.9
Karnataka 89.2 13.1 0.8 86.0 100.0 14.0 8.4
Kerala 72.3 11.1 0.9 88.0 100.0 12.0 4.5
Lakshadweep 85.4 1.4 0.0 98.6 100.0 1.4 0.0
Puducherry 90.5 23.8 2.5 73.7 100.0 26.3 7.8
Tamil Nadu 89.1 26.1 2.1 71.8 100.0 28.2 5.8
Telangana 75.9 11.9 1.2 86.9 100.0 13.1 4.4
1
561
Among women age 15-49 who gave birth in the 2 years preceding the survey, percentage who received HIV counselling during ANC, percentage who received
an HIV test during ANC for their most recent birth by whether they received their results and post-test counselling, and percentage who received an HIV test
during ANC or labour for their most recent birth by whether they received their test results, according to background characteristics, India, 2019-21
Percentage who had an HIV

Percentage who were tested for HIV during test during ANC or delivery
Percentage
antenatal care and who: and who2:
who received
Percentage Received counselling on
who received Received results and HIV and an Number of
counselling on results and did not HIV test women who
HIV during received receive during ANC, gave birth in
antenatal post-test post-test Did not and received Received Did not the past
Background characteristic care1 counselling counselling receive results the results results receive results 2 years3
Age
15-24 36.1 20.9 10.9 58.7 20.6 33.9 4.6 6,027
15-19 30.9 18.8 13.4 56.6 19.4 33.9 2.9 748
20-24 36.9 21.2 10.6 59.0 20.7 33.9 4.9 5,279
25-29 41.7 24.7 9.5 55.5 23.5 37.1 5.4 4,744
30-39 40.8 23.9 10.9 54.4 23.2 37.8 5.4 2,391
40-49 32.2 21.1 5.7 52.5 20.0 30.9 8.9 135
Residence
Urban 47.0 32.5 15.3 43.1 31.4 51.0 5.3 3,310
Rural 36.3 19.6 8.7 61.2 19.0 30.6 5.0 9,987
Schooling
No schooling 26.8 10.4 3.8 70.7 9.9 15.7 4.6 2,479
<5 years complete 28.9 15.7 5.9 66.8 15.1 22.9 4.2 615
5-7 years complete 31.5 16.2 8.3 65.1 15.5 27.1 5.0 1,818
8-9 years complete 34.6 18.5 9.3 60.4 17.5 30.7 6.4 2,562
10-11 years complete 44.1 28.1 13.9 50.7 27.6 44.6 4.5 1,801
Religion
Hindu 40.0 23.8 10.1 56.1 22.9 36.4 5.3 10,430
Muslim 32.2 16.4 9.3 64.1 16.0 27.9 4.3 2,315
Christian 47.4 43.6 23.2 24.1 39.7 68.6 4.4 244
Sikh 47.2 22.1 16.5 50.6 26.4 45.0 5.7 175
Other 21.6 7.7 10.1 60.0 9.8 22.5 3.1 56
Caste/tribe
Scheduled caste 39.4 22.5 10.4 56.1 23.1 35.2 5.0 3,063
Scheduled tribe 39.9 19.7 7.0 61.3 18.8 29.1 6.5 1,333
Other 38.2 24.0 12.4 54.9 22.3 39.5 4.5 2,974
Don't know 18.1 7.3 14.8 65.0 14.6 23.8 3.3 110
Wealth quintile
Lowest 26.2 9.8 4.3 70.8 9.0 15.7 4.2 3,191
Second 33.2 14.7 7.9 67.4 15.2 25.0 4.8 2,948
Middle 43.1 29.6 12.0 49.7 27.9 44.4 6.4 2,647
Fourth 47.0 31.7 14.2 45.7 30.5 48.5 5.4 2,418
Highest 51.8 35.2 16.5 41.6 34.6 55.5 4.7 2,093
Total 38.9 22.8 10.4 56.7 22.1 35.7 5.1 13,296
Note: Total includes Jain women, who are not shown separately.
1 In this context, "pretest counselling" means that someone talked with the respondent about all three of the following topics: 1) babies getting HIV from their
mother, 2) preventing the virus, and 3) getting tested for the virus
2 Women are asked whether they received an HIV test during labour only if they gave birth in a health facility
3
Denominator for percentages includes women who did not receive antenatal care for their last birth in the past 2 years.
562
Table 13.16 Coverage of prior HIV testing during antenatal care (ANC) or labour by state/union territory
Among women age 15-49 who gave birth in the 2 years preceding the survey, percentage who received HIV counselling during ANC,
percentage who received an HIV test during ANC for their most recent birth by whether they received their results and post-test counselling,
and percentage who received an HIV test during ANC or labour for their most recent birth by whether they received their test results,
according to state/union territory, India, 2019-21
Percentage Percentage who had an HIV

Percentage who were tested for HIV during test during ANC or
who received
Percentage antenatal care and who: counselling on delivery and who2:
who received Received Received HIV and an
counselling on results and results and did HIV test
HIV during received not receive Did not during ANC, Did not
antenatal post-test post-test receive and received Received receive
State/union territory care1 counselling counselling results the results results results
India 38.9 22.8 10.4 56.7 22.1 35.7 5.1
North
Chandigarh * * * * * * *
Delhi 45.1 43.9 23.3 24.2 39.0 72.3 3.8
Haryana 33.5 19.9 11.6 61.1 19.7 33.5 7.2
Jammu & Kashmir 44.7 26.3 12.2 54.7 30.3 41.6 3.5
Ladakh (50.5) (40.0) (19.1) (29.1) (39.4) (59.1) (7.0)
Punjab 49.8 20.6 15.7 51.8 25.9 41.5 6.5
Rajasthan 28.4 8.9 6.0 77.2 8.8 16.6 4.7
Uttarakhand 32.7 21.5 19.3 48.5 23.8 47.5 2.0
Central
Chhattisgarh 54.3 19.4 5.4 66.4 21.8 26.8 5.7
Madhya Pradesh 37.0 16.5 4.8 62.7 13.1 24.1 13.0
Uttar Pradesh 31.8 9.2 4.6 78.2 9.5 15.6 4.1
East
Bihar 21.8 6.1 3.3 70.1 6.4 11.2 4.2
Jharkhand 24.1 6.7 3.5 76.4 4.9 11.5 4.4
Odisha 53.1 47.6 11.9 35.3 39.7 62.3 5.6
West Bengal 32.7 18.2 13.6 60.7 21.0 33.8 3.5
Northeast
Assam 34.9 12.0 10.2 67.9 13.7 23.7 8.0
Manipur 41.4 25.7 54.5 14.3 39.3 81.7 2.1
Meghalaya 37.7 31.5 15.2 40.6 32.3 47.7 1.9
Mizoram 69.6 59.1 24.2 6.2 66.3 87.5 2.3
Nagaland 33.2 25.9 15.6 25.8 23.9 45.9 2.7
Sikkim (34.0) (32.9) (32.3) (23.8) (34.0) (75.2) (6.5)
Tripura 27.4 23.7 9.5 41.3 21.4 41.0 3.8
West
Daman & Diu (33.0) (14.4) (11.7) (72.1) (16.7) (26.2) (1.7)
Goa * * * * * * *
Gujarat 48.6 15.2 6.6 66.3 16.6 23.1 7.0
Maharashtra 47.6 38.4 21.7 33.9 37.1 64.1 3.9
Continued…
563
Table 13.16 Coverage of prior HIV testing during antenatal care (ANC) or labour by state/union territory—Continued
Among women age 15-49 who gave birth in the 2 years preceding the survey, percentage who received HIV counselling during ANC,
percentage who received an HIV test during ANC for their most recent birth by whether they received their results and post-test counselling,
and percentage who received an HIV test during ANC or labour for their most recent birth by whether they received their test results,
according to state/union territory, India, 2019-21
Percentage who had an HIV

Percentage
Percentage who were tested for HIV during who received test during ANC or
antenatal care and who: delivery and who2:
Percentage counselling on
who received Received Received HIV and an
counselling on results and results and did HIV test
HIV during received not receive Did not during ANC, Did not
antenatal post-test post-test receive and received Received receive
State/union territory care1 counselling counselling results the results results results
South
Andaman & Nicobar Islands (42.1) (36.7) (25.9) (22.5) (24.6) (79.1) (11.2)
Andhra Pradesh 54.7 54.6 23.8 14.9 47.1 78.9 6.5
Karnataka 66.3 54.1 13.2 26.1 53.9 71.8 6.3
Kerala 46.1 39.4 46.0 12.6 40.0 86.4 1.7
Lakshadweep * * * * * * *
Puducherry (67.4) (57.4) (40.3) (2.3) (67.2) (97.7) (0.2)
Tamil Nadu 65.1 67.1 11.5 14.5 59.4 85.5 3.6
Telangana 55.9 53.8 22.9 17.8 48.2 77.9 4.4
Note: Figures in parentheses are based on 25-49 unweighted cases. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has
been suppressed.
1 In this context, "pretest counselling" means that someone talked with the respondent about all three of the following topics: 1) babies getting HIV from their
mother, 2) preventing the virus, and 3) getting tested for the virus
2 Women are asked whether they received an HIV test during labour only if they gave birth in a health facility
564
Table 13.17 Self-reported prevalence of sexually transmitted infection (STI) and/or STI symptoms
Among women and men age 15-49 who have ever had sexual intercourse, percentage reporting having an STI and/or symptoms of an STI in the 12 months preceding the survey, by background characteristics,
India, 2019-21
Percentage of women who report that in the past Percentage of men who report that in the past
12 months they had: 12 months they had:
An STI/
An STI/ Number of abnormal Number of
A bad smelling, A genital genital women who ever An abnormal A genital discharge from men who ever
abnormal genital sore discharge/ had sexual discharge from sore the penis/ had sexual
Background characteristic An STI discharge or ulcer sore or ulcer intercourse An STI the penis or ulcer sore or ulcer intercourse
Age
15-24 5.6 9.3 4.8 13.3 13,973 2.0 10.7 6.2 14.5 6,449
15-19 5.3 9.3 5.0 12.8 2,745 2.3 9.8 6.6 14.6 1,269
20-24 5.7 9.3 4.7 13.4 11,228 1.9 10.9 6.1 14.5 5,180
25-29 5.5 10.0 4.9 13.5 15,721 1.8 7.5 4.5 10.2 9,689
30-39 4.9 9.3 4.7 12.6 29,276 2.1 6.1 3.8 8.9 24,204
40-49 4.3 7.4 4.0 10.7 24,460 2.2 4.8 3.9 8.0 21,625
Residence
Urban 4.9 8.0 4.3 11.4 26,201 2.6 5.3 3.6 8.0 20,884
565
Rural 5.0 9.3 4.7 12.7 57,229 1.8 6.9 4.5 10.0 41,083
Schooling
No schooling 5.1 9.3 4.4 12.4 23,543 2.0 6.3 4.8 9.7 8,648
<5 years complete 4.1 8.7 4.7 12.3 5,361 1.9 8.0 4.9 11.6 5,113
5-7 years complete 4.8 8.9 4.5 12.3 12,708 1.9 7.2 5.0 10.5 9,529
8-9 years complete 5.1 9.0 4.7 12.7 13,387 1.9 6.4 4.1 9.3 11,467
10-11 years complete 5.1 9.2 4.9 12.5 10,334 2.0 5.5 4.0 8.6 9,852
12 or more years complete 5.1 8.1 4.4 11.7 18,099 2.4 5.8 3.4 8.3 17,359
Marital status
Never married 10.6 13.6 8.2 19.3 968 2.4 10.1 5.4 13.7 5,349
Currently married 5.0 8.9 4.5 12.3 77,707 2.0 5.9 4.1 8.9 55,462
Widowed/divorced/
separated/deserted 3.8 7.8 4.0 10.4 4,756 2.2 7.3 4.4 10.6 1,156

Yes 9.3 13.2 6.9 18.0 6,421 3.6 9.5 6.4 14.1 9,082
No 4.6 8.5 4.3 11.8 77,010 1.8 5.8 3.8 8.5 52,885
Continued…
Table 13.17 Self-reported prevalence of sexually transmitted infection (STI) and/or STI symptoms—Continued
Among women and men age 15-49 who have ever had sexual intercourse, percentage reporting having an STI and/or symptoms of an STI in the 12 months preceding the survey, by background characteristics,
India, 2019-21
A bad An STI/
smelling, An STI/ Number of abnormal Number of
abnormal A genital genital women who ever An abnormal A genital discharge from men who ever
genital sore discharge/ had sexual discharge from sore the penis/ had sexual
Background characteristic An STI discharge or ulcer sore or ulcer intercourse An STI the penis or ulcer sore or ulcer intercourse
Religion
Hindu 4.8 8.6 4.4 12.0 67,792 2.2 5.9 4.1 8.9 49,435
Muslim 6.5 10.7 5.4 14.4 11,363 2.0 9.4 5.1 12.6 9,345
Christian 3.0 8.9 4.5 11.7 1,870 0.4 3.0 2.2 4.7 1,549
Sikh 6.9 9.0 3.7 13.2 1,418 1.7 4.5 3.0 7.3 576
Buddhist/Neo-Buddhist 7.0 8.2 6.5 12.5 509 1.3 5.0 4.7 8.1 713
Jain 1.5 7.5 4.7 10.9 154 0.0 0.9 0.3 0.9 159
Other 2.9 7.2 4.1 9.5 325 0.6 2.7 3.8 5.9 191
Caste/tribe
566
Scheduled caste 5.2 9.5 5.0 13.0 18,006 2.0 7.1 4.4 10.2 13,142
Scheduled tribe 3.5 8.3 3.9 11.1 7,732 1.9 5.9 5.1 9.0 5,949
Other backward class 5.3 8.8 4.9 12.5 36,399 2.3 5.5 4.4 8.8 25,504
Other 4.9 8.6 3.9 11.7 20,712 1.9 7.1 3.3 9.5 17,058
Don't know 2.8 9.4 3.4 12.2 581 3.6 7.3 4.5 12.3 314
Wealth quintile
Lowest 4.7 9.2 4.8 12.5 15,739 1.8 8.4 5.6 12.3 10,984
Second 5.0 9.3 4.4 12.4 17,062 1.7 7.4 4.4 10.3 12,377
Middle 4.9 9.4 4.9 12.9 17,232 2.5 6.4 4.6 9.6 13,135
Fourth 4.6 8.0 4.6 11.6 17,039 2.0 5.0 3.6 7.9 13,544
Highest 5.7 8.5 4.1 12.1 16,359 2.3 4.7 2.8 7.0 11,927
Total age 15-49 5.0 8.9 4.5 12.3 83,431 2.1 6.3 4.2 9.3 61,967
Age 50-54 na na na na na 1.7 4.9 3.5 7.3 8,594
Total age 15-54 na na na na na 2.0 6.2 4.1 9.1 70,561
na = Not applicable
1
For women, visits to parental/in-laws' home excluded.
Table 13.18 Self-reported prevalence of sexually transmitted infection (STI) and/or STI symptoms by state/union territory
Among women and men age 15-49 who ever had sexual intercourse, percentage reporting having an STI and/or symptoms of an STI in the 12 months
preceding the survey, by state/union territory, India, 2019-21
An STI/
A bad abnormal
smelling, An abnormal discharge
abnormal An STI/genital discharge from the
genital A genital sore discharge/sore from the A genital sore penis/sore
State/union territory An STI discharge or ulcer or ulcer An STI penis or ulcer or ulcer
India 5.0 8.9 4.5 12.3 2.1 6.3 4.2 9.3
North
Chandigarh 0.0 10.1 0.0 10.1 3.4 0.0 0.0 3.4
Delhi 6.7 15.8 3.7 19.9 0.7 4.5 2.0 6.2
Haryana 4.1 9.8 2.6 11.6 1.7 2.3 2.7 5.3
Jammu & Kashmir 6.1 16.3 4.4 20.1 2.0 14.9 2.2 16.2
Ladakh 6.1 21.8 5.2 25.9 1.0 22.0 4.3 23.1
Punjab 6.4 9.0 3.0 13.0 1.9 3.6 2.7 6.5
Rajasthan 5.0 12.3 2.6 15.7 1.8 3.9 3.2 6.6
Uttarakhand 2.8 9.8 1.6 11.3 1.0 5.0 1.6 6.2
Central
Chhattisgarh 4.0 8.5 4.2 12.0 3.2 6.9 4.3 10.5
Madhya Pradesh 4.7 7.8 3.8 11.0 1.0 4.3 2.1 6.0
Uttar Pradesh 12.0 14.4 6.6 19.1 4.4 7.6 6.2 12.0
East
Bihar 4.5 6.9 4.4 10.8 2.1 5.4 4.2 7.8
Jharkhand 4.5 9.2 5.9 11.9 2.3 8.0 7.4 12.2
Odisha 1.1 2.8 1.4 4.0 0.7 6.1 3.2 7.9
West Bengal 2.8 10.3 4.5 13.0 2.4 16.3 6.4 20.1
Northeast
Assam 6.9 7.4 5.3 13.2 0.8 1.9 2.3 4.0
Manipur 3.4 10.0 4.4 13.7 0.2 3.4 2.7 5.7
Meghalaya 3.7 28.2 7.0 29.8 0.8 3.0 2.5 4.2
Mizoram 0.7 10.3 3.1 11.8 0.2 0.3 0.7 1.0
Nagaland 1.0 8.3 2.2 9.0 0.6 1.4 0.4 2.1
Sikkim 10.2 14.3 7.2 18.0 3.2 7.2 3.4 11.2
Tripura 3.1 11.0 4.7 14.3 0.0 6.1 4.5 8.1
West
Daman & Diu 0.9 8.4 7.2 12.5 0.8 3.7 0.0 4.1
Goa 3.1 6.3 6.2 9.4 0.6 0.0 0.6 1.2
Gujarat 2.1 7.5 3.0 9.4 0.8 3.2 3.7 5.7
Maharashtra 3.6 5.1 4.1 8.3 1.3 3.5 3.7 6.7
South
Andhra Pradesh 1.8 3.2 1.8 4.9 1.0 1.6 2.0 3.1
Karnataka 5.8 8.0 6.2 11.9 6.0 6.4 6.6 11.3
Kerala 1.5 4.0 6.2 9.5 0.4 0.8 2.0 3.1
Lakshadweep 1.6 2.9 9.2 10.4 0.0 1.4 0.0 1.4
Puducherry 0.1 4.4 7.0 8.0 0.0 10.3 0.2 10.5
Tamil Nadu 2.3 8.4 7.6 12.3 0.7 11.8 1.2 12.7
Telangana 1.3 4.2 2.5 5.8 2.4 8.6 4.8 12.0
567
Percentage of women and men age 15-24 with a comprehensive knowledge about HIV/AIDS and percentage with knowledge of a source of
condoms, by background characteristics, India, 2019-21
Women age 15-24 Men age 15-24

who reject two who reject two
common Percentage common Percentage
misconceptions with a Percentage misconceptions with a Percentage
and know how comprehensive who know and know how comprehensive who know
to prevent knowledge of a condom Number to prevent knowledge of a condom Number
Background characteristic HIV/AIDS1 HIV/AIDS2 source of women HIV/AIDS1 HIV/AIDS2 source3 of men
Age
15-19 20.9 17.9 46.1 18,240 32.2 26.1 82.9 16,385
15-17 19.9 16.9 41.2 10,810 29.7 23.7 79.0 9,939
18-19 22.5 19.2 53.2 7,430 36.0 29.8 89.0 6,446
20-24 26.4 22.5 62.9 17,809 38.6 31.2 92.3 14,384
20-22 25.7 21.8 61.2 10,839 37.1 30.1 91.1 8,807
23-24 27.5 23.5 65.6 6,970 41.1 33.0 94.1 5,577
Residence
Urban 30.5 26.0 59.3 10,508 42.2 33.5 89.3 10,538
Rural 20.8 17.7 52.4 25,541 31.6 25.9 86.2 20,231
Schooling
No schooling 11.2 8.7 44.4 2,361 18.2 14.7 79.6 1,415
<5 years complete 12.9 10.8 45.8 805 14.2 9.2 85.1 946
5-7 years complete 15.3 12.6 47.3 3,435 23.7 18.3 81.3 2,718
8-9 years complete 18.7 15.9 49.0 8,986 28.0 22.8 83.5 7,558
10-11 years complete 24.1 20.6 51.5 8,277 37.3 29.7 86.0 7,086
12 or more years
complete 32.4 28.0 64.9 12,185 45.6 37.6 93.3 11,045
Marital status
Never married 24.3 20.9 49.6 22,788 35.8 28.9 86.6 27,478
Ever had sex 28.0 23.9 67.8 741 38.4 31.3 95.7 3,166
Never had sex 24.2 20.8 49.0 22,047 35.4 28.6 85.4 24,312
Ever married 22.5 18.8 62.7 13,261 30.7 25.1 93.1 3,290
Away from home for 1

month or more at a time
Yes 22.2 18.6 60.9 2,935 32.8 24.6 88.2 4,749
No 23.8 20.3 53.8 33,114 35.6 29.2 87.1 26,019
Religion
Hindu 24.0 20.5 55.2 28,599 35.4 28.4 87.8 23,910
Muslim 19.6 16.3 51.4 5,788 30.4 25.0 84.9 5,365
Christian 35.9 29.6 53.5 695 47.8 41.5 84.0 740
Sikh 24.3 21.9 45.5 570 36.6 34.7 88.8 304
Buddhist/Neo-Buddhist 34.8 31.6 51.0 201 52.5 45.4 92.8 294
Jain (52.9) (48.3) (79.2) 63 (80.6) (67.8) (97.5) 76
Other 20.5 17.0 49.2 133 58.7 57.5 87.0 81
Continued…
568
Table 13.19 Comprehensive knowledge about HIV/AIDS and knowledge of a source of condoms among youth—Continued
Percentage of women and men age 15-24 with a comprehensive knowledge about HIV/AIDS and percentage with knowledge of a source of
condoms, by background characteristics, India, 2019-21

who reject two who reject two
common Percentage common Percentage
misconceptions with a Percentage misconceptions with a Percentage
and know how comprehensive who know Number and know how comprehensive who know
to prevent knowledge of a condom of to prevent knowledge of a condom Number
Background characteristic HIV/AIDS1 HIV/AIDS2 source women HIV/AIDS1 HIV/AIDS2 source3 of men
Caste/tribe
Scheduled caste 21.3 18.2 52.6 8,202 32.0 25.7 87.8 6,108
Scheduled tribe 24.6 21.4 54.2 3,403 29.2 23.5 86.2 2,861
Other 25.9 22.5 58.4 8,337 35.3 29.3 85.8 8,366
Don't know 8.1 7.6 41.9 215 16.8 10.6 69.0 176
Wealth quintile
Lowest 14.0 11.6 45.8 7,163 23.6 19.2 82.3 5,521
Second 18.5 16.0 50.5 8,059 29.8 24.0 86.7 6,687
Middle 24.2 20.6 54.7 7,672 34.9 27.2 87.2 6,580
Fourth 30.2 25.2 58.0 7,260 40.5 32.3 89.4 6,318
Highest 33.7 29.2 65.5 5,895 47.4 40.2 90.7 5,663
Total 23.6 20.1 54.4 36,049 35.2 28.5 87.3 30,769
Note: Figures in parentheses are based on 25-49 unweighted cases.

1
Respondents who, when asked prompted questions, say that HIV/AIDS cannot be transmitted by mosquito bites and by sharing food with a person who has
HIV/AIDS, and who say that use of a condom for every act of sexual intercourse and having just one uninfected faithful sex partner can reduce the chance of
getting HIV/AIDS
2
Respondents with a comprehensive knowledge say that use of a condom for every act of sexual intercourse and having just one uninfected faithful sex
partner can reduce the chance of getting HIV/AIDS, say that a healthy-looking person can have HIV/AIDS, and reject two common misconceptions about
HIV/AIDS transmission or prevention
3
Men who used a condom in the 12 months preceding the survey are assumed to know a condom source
4
569
Table 13.20 Comprehensive knowledge about HIV/AIDS and knowledge of a source of condoms among youth by state/union territory
Percentage of women and men age 15-24 with a comprehensive knowledge about HIV/AIDS and percentage with knowledge of a source of condoms, by state/union

reject two common Percentage with a reject two common Percentage with a
misconceptions and comprehensive Percentage who misconceptions and comprehensive Percentage who
know how to knowledge of know a know how to knowledge of know a
State/union territory prevent HIV/AIDS1 HIV/AIDS2 condom source prevent HIV/AIDS1 HIV/AIDS2 condom source3
India 23.6 20.1 54.4 35.2 28.5 87.3
North
Chandigarh (24.4) (21.0) (59.2) (43.2) (43.2) (81.6)
Delhi 28.6 25.1 75.0 38.8 36.3 93.0
Haryana 20.5 17.5 57.2 35.6 31.7 86.1
Jammu & Kashmir 18.3 17.2 36.4 35.5 33.8 70.8
Ladakh 21.9 21.1 41.6 38.7 31.6 70.5
Punjab 19.7 17.5 42.0 35.6 33.3 90.2
Rajasthan 31.9 27.6 74.3 39.2 34.3 92.0
Uttarakhand 24.5 21.5 60.6 31.3 27.1 91.0
Central
Chhattisgarh 25.6 22.0 53.6 31.9 29.9 90.2
Madhya Pradesh 20.1 17.3 54.5 27.2 23.7 87.0
Uttar Pradesh 14.4 11.6 47.2 25.7 19.8 88.5
East
Bihar 12.7 10.1 43.8 28.7 25.3 83.6
Jharkhand 17.2 15.2 53.5 30.9 28.4 82.4
Odisha 21.1 18.1 63.6 29.0 22.1 94.5
West Bengal 18.8 17.4 58.6 18.6 14.3 80.4
Northeast
Assam 20.3 19.0 69.3 28.9 27.4 93.2
Manipur 55.5 48.7 67.7 53.3 48.4 79.9
Meghalaya 17.6 13.4 48.6 19.2 14.3 71.4
Mizoram 70.7 68.9 50.1 60.5 60.0 76.9
Nagaland 30.3 21.1 52.9 38.1 31.9 86.0
Sikkim 30.8 29.3 61.9 25.5 15.1 93.0
Tripura 12.2 11.6 47.3 34.9 31.9 82.9
West
Daman & Diu 30.7 24.6 59.1 44.9 31.1 79.4
Goa 60.6 52.9 86.8 75.9 72.8 100.0
Gujarat 30.6 27.2 49.3 36.8 33.4 87.2
Maharashtra 39.4 35.2 54.8 44.5 37.2 90.2
South
Andhra Pradesh 35.1 27.2 35.1 50.0 38.1 89.2
Karnataka 34.1 26.8 73.8 42.6 24.4 93.4
Kerala 32.0 30.2 58.6 50.1 40.6 84.2
Lakshadweep (50.3) (43.7) (45.1) (71.9) (64.3) (96.5)
Puducherry 34.7 25.4 61.0 39.2 32.3 90.4
Tamil Nadu 31.9 23.9 54.9 40.5 23.2 89.4
Telangana 37.1 32.9 51.3 42.4 30.3 86.2
Note: Figures in parentheses are based on 25-49 unweighted cases.
1
Respondents who, when asked prompted questions, say that HIV/AIDS cannot be transmitted by mosquito bites and by sharing food with a person who has HIV/AIDS,
and who say that use of a condom for every act of sexual intercourse and having just one uninfected faithful sex partner can reduce the chance of getting HIV/AIDS
2
Respondents with a comprehensive knowledge say that use of a condom for every act of sexual intercourse and having just one uninfected faithful sex partner can
reduce the chance of getting HIV/AIDS, say that a healthy-looking person can have HIV/AIDS, and reject two common misconceptions about HIV/AIDS transmission
or prevention
3
Men who used a condom in the 12 months preceding the survey are assumed to know a condom source
570
Table 13.21 Age at first sexual intercourse among youth
Percentage of women and men age 15-24 who have ever had sexual intercourse and who had sexual intercourse before age 15, by background
Women Men
Percentage who had sexual Percentage who had sexual
have ever had intercourse Number have ever had intercourse Number
Background characteristic sexual intercourse before age 15 of women sexual intercourse before age 15 of men
Age
15-19 15.1 1.2 122,544 7.7 0.7 16,385
15-17 6.1 0.9 72,948 4.3 0.8 9,939
18-19 28.2 1.6 49,596 13.1 0.6 6,446
20-24 62.7 3.4 119,440 36.0 0.3 14,384
20-22 55.2 3.0 73,516 30.1 0.3 8,807
23-24 74.7 4.0 45,923 45.3 0.4 5,577
Residence
Urban 30.3 1.4 71,098 16.9 0.5 10,538
Rural 42.0 2.6 170,885 23.1 0.6 20,231
Schooling
No schooling 70.7 8.2 15,889 33.6 0.9 1,415
<5 years complete 62.0 7.9 5,534 44.0 2.1 946
5-7 years complete 51.6 5.8 22,998 27.3 0.8 2,718
8-9 years complete 37.1 2.5 59,584 19.9 0.9 7,558
10-11 years complete 31.1 1.0 55,620 15.5 0.4 7,086
Age at marriage
Ever married1 98.9 5.9 89,251 97.9 0.7 3,376
<15 years 81.2 31.3 63 * * 1
15-17 years 98.5 3.0 45 * * 2
18 or more years 98.9 5.9 89,143 97.9 0.7 3,374
Never married 3.3 0.1 152,733 11.5 0.5 27,393
Away from home for 1

month or more at a time
Yes 55.6 3.6 2,935 32.1 0.7 4,749
No 37.3 2.2 33,114 18.9 0.5 26,019
Religion
Hindu 38.7 2.2 194,339 21.3 0.6 23,910
Muslim 40.0 3.1 36,882 20.3 0.6 5,365
Christian 31.9 1.9 4,968 16.8 0.2 740
Sikh 26.5 0.5 3,179 19.9 0.2 304
Buddhist/Neo-Buddhist 31.4 1.0 1,278 22.5 0.0 294
Jain 16.2 0.3 422 (3.1) (0.0) 76
Other 41.5 3.1 916 22.1 2.9 81
Continued…
571
Table 13.21 Age at first sexual intercourse among youth—Continued
Percentage of women and men age 15-24 who have ever had sexual intercourse and who had sexual intercourse before age 15, by background
Women Men
Percentage who had sexual Percentage who had sexual
have ever had intercourse Number have ever had intercourse Number
Background characteristic sexual intercourse before age 15 of women sexual intercourse before age 15 of men
Caste/tribe
Scheduled caste 40.3 2.6 55,474 24.2 0.7 6,108
Scheduled tribe 43.1 2.7 23,285 28.9 0.5 2,861
Other 35.8 2.3 56,655 17.5 0.3 8,366
Don't know 54.7 7.4 1,543 16.7 0.0 176
Wealth quintile
Lowest 44.7 4.4 48,714 26.9 0.9 5,521
Second 42.4 2.9 52,765 23.9 0.8 6,687
Middle 39.7 2.0 50,831 20.5 0.5 6,580
Fourth 36.4 1.2 48,409 17.6 0.5 6,318
Highest 27.5 0.4 41,264 15.9 0.1 5,663
Total 38.6 2.3 241,983 21.0 0.5 30,769

Note: Figures in parentheses are based on 25-49 unweighted cases. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been
suppressed.
1 Includes women/men who are married, but whose gauna has not been performed
2 For women, visits to parental/in-laws' home excluded
572
Table 13.22 Sexual intercourse and condom use among never married youth
Among never married women and men age 15-24, percentage who have never had sexual intercourse, percentage who had sexual intercourse in the 12 months preceding the survey, and among those
who had sexual intercourse in the 12 months preceding the survey, percentage who used a condom at the last sexual intercourse, by background characteristics, India, 2019-21
Never married women Never married men

Percentage who had Percentage Percentage who had Percentage
who have sexual who used a Number who who have sexual who used a Number who
never had intercourse condom at had sex never had intercourse in condom at had sex
sexual in the past Number last sexual in the past sexual the past Number last sexual in the past
Background characteristic intercourse 12 months of women intercourse 12 months intercourse 12 months of men intercourse 12 months
Age
15-19 97.3 1.3 15,914 61.2 204 93.8 4.4 16,110 57.0 701
15-17 97.9 0.9 10,345 57.7 96 96.1 2.9 9,905 53.6 291
18-19 96.1 1.9 5,570 64.4 108 90.2 6.6 6,204 59.5 410
20-24 95.5 1.9 6,874 65.3 133 80.9 11.8 11,369 63.9 1,338
20-22 95.6 1.9 5,064 65.3 97 82.9 10.9 7,421 61.0 808
23-24 95.3 2.0 1,810 65.3 36 77.2 13.4 3,948 68.3 530
Residence
573
Urban 96.5 1.4 7,522 70.4 102 89.0 7.3 9,836 68.5 723
Rural 96.9 1.5 15,266 59.6 235 88.2 7.5 17,642 57.7 1,316
Schooling
No schooling 94.6 2.3 753 * 17 88.0 7.4 1,067 64.8 79
<5 years complete 96.6 1.4 300 * 4 78.6 11.6 674 38.3 78
5-7 years complete 96.5 1.9 1,700 (58.9) 32 89.4 5.7 2,208 56.2 126
8-9 years complete 97.3 1.4 5,747 48.6 83 90.1 6.5 6,725 53.2 435
10-11 years complete 97.2 1.1 5,891 70.7 67 91.9 4.9 6,518 58.2 320
12 or more years complete 96.3 1.6 8,398 71.9 134 85.8 9.7 10,287 68.5 1,000

Yes 94.1 3.4 1,382 50.5 47 82.2 10.7 3,921 52.1 419
No 96.9 1.4 21,406 64.8 290 89.5 6.9 23,558 64.0 1,620
Away from home for six months or

more in the past 12 months1
Yes 93.5 4.4 640 (48.6) 28 83.1 10.3 1,725 60.2 178
No 96.8 1.4 22,149 64.1 309 88.8 7.2 25,754 61.7 1,861
Continued…
Table 13.22 Sexual intercourse and condom use among never married youth—Continued
Among never married women and men age 15-24, percentage who have never had sexual intercourse, percentage who had sexual intercourse in the 12 months preceding the survey, and among those
who had sexual intercourse in the 12 months preceding the survey, percentage who used a condom at the last sexual intercourse, by background characteristics, India, 2019-21
Never married women Never married men

Percentage who had Percentage Percentage who had Percentage
who have sexual who used a Number who who have sexual who used a Number who
never had intercourse condom at had sex never had intercourse in condom at had sex
sexual in the past Number last sexual in the past sexual the past Number last sexual in the past
Background characteristic intercourse 12 months of women intercourse 12 months intercourse 12 months of men intercourse 12 months
Religion
Hindu 96.8 1.5 18,084 61.4 276 88.0 7.9 21,372 61.0 1,695
Muslim 96.7 1.4 3,494 (77.3) 48 90.2 5.4 4,737 71.0 255
Christian 95.6 1.5 516 28.7 8 90.4 5.9 680 30.4 40
Sikh 97.1 0.5 436 * 2 85.1 11.8 286 58.6 34
Buddhist/Neo-Buddhist 97.9 1.2 115 * 1 88.9 4.0 256 * 10
Jain (100.0) (0.0) 54 nc 0 (98.0) (2.0) 75 * 2
Other 96.0 2.3 90 * 2 88.3 3.8 71 (14.2) 3
574
Caste/tribe
Scheduled caste 96.7 1.5 5,049 50.9 76 86.6 8.7 5,340 57.3 464
Scheduled tribe 95.5 2.6 2,023 43.5 53 85.8 9.0 2,373 44.9 214
Other backward class 97.0 1.2 10,224 67.6 127 88.6 7.5 11,958 61.8 901
Other 96.7 1.5 5,391 79.2 80 90.2 5.9 7,653 73.1 453
Don't know 99.4 0.6 101 * 1 95.1 4.1 154 * 6
Wealth quintile
Lowest 96.7 1.8 4,081 43.5 75 87.8 7.3 4,592 46.5 333
Second 96.7 1.7 4,825 66.3 84 88.3 6.9 5,759 54.1 396
Middle 96.5 1.4 4,752 53.8 67 88.9 6.5 5,878 62.6 384
Fourth 96.7 1.3 4,805 77.4 61 88.8 8.0 5,862 60.9 471
Highest 97.1 1.2 4,324 (80.0) 51 88.5 8.5 5,386 78.8 455
Total 96.7 1.5 22,788 62.8 337 88.5 7.4 27,478 61.5 2,039
nc = No cases
1
Table 13.23 Higher-risk sexual intercourse among youth and condom use at last higher-risk intercourse
Among women and men age 15-24 who had sexual intercourse in the past 12 months, percentage who had higher-risk sexual intercourse in the 12 months preceding the survey, and among those having higher-risk
intercourse in the 12 months preceding the survey, percentage reporting that a condom was used at last higher-risk intercourse, by background characteristics, India, 2019-21
Women who had sexual intercourse in Women who had higher-risk intercourse Men who had sexual intercourse in Men who had higher-risk intercourse in
the past 12 months in the past 12 months1 the past 12 months the past 12 months1
Percentage who reported using a Percentage who reported using a
had higher-risk condom at last Number of women had higher-risk condom at last Number of men
intercourse in the Number higher-risk who had higher-risk intercourse in the Number higher-risk who had higher-risk
Background characteristic past 12 months of women intercourse1 intercourse1 past 12 months of men intercourse1 intercourse1
Age
15-19 7.3 2,355 62.0 172 68.3 961 52.6 656
15-17 16.9 520 57.0 88 84.3 323 45.6 272
18-19 4.6 1,835 67.2 84 60.2 638 57.4 384
20-24 1.3 10,102 63.9 128 32.6 4,073 59.9 1,326
20-22 1.8 5,390 63.0 96 38.4 2,063 56.1 792
23-24 0.7 4,712 66.5 32 26.6 2,009 65.5 534
Residence
Urban 3.2 2,826 71.6 89 51.9 1,372 63.6 711
575
Rural 2.2 9,631 59.1 210 34.7 3,662 54.0 1,272
Schooling
No schooling 1.1 1,474 * 16 21.3 382 56.4 81
<5 years complete 1.2 457 * 6 28.4 337 18.2 96
5-7 years complete 1.9 1,616 (50.1) 31 20.6 612 54.5 126
8-9 years complete 2.2 3,088 51.1 68 33.8 1,198 48.2 405
10-11 years complete 2.2 2,272 74.7 51 38.3 838 57.5 321
12 or more years complete 3.6 3,552 67.9 128 57.2 1,667 65.8 954
Marital status
Never married2 81.5 337 65.4 274 92.2 2,039 58.9 1,880
Currently married 0.2 12,064 * 25 3.3 2,967 30.7 99
Widowed/divorced/separated/deserted 0.6 56 nc 0 * 27 * 4

Yes 2.6 1,442 (66.5) 38 37.6 1,189 47.3 447
No 2.4 11,015 62.3 262 39.9 3,844 60.4 1,536
Continued…
Table 13.23 Higher-risk sexual intercourse among youth and condom use at last higher-risk intercourse—Continued
Among women and men age 15-24 who had sexual intercourse in the past 12 months, percentage who had higher-risk sexual intercourse in the 12 months preceding the survey, and among those having higher-risk
intercourse in the 12 months preceding the survey, percentage reporting that a condom was used at last higher-risk intercourse, by background characteristics, India, 2019-21
Women who had sexual intercourse in Women who had higher-risk intercourse Men who had sexual intercourse in Men who had higher-risk intercourse in
the past 12 months in the past 12 months1 the past 12 months the past 12 months1
Percentage who reported using a Percentage who reported using a
had higher-risk condom at last Number of women had higher-risk condom at last Number of men
intercourse in the Number higher-risk who had higher-risk intercourse in the Number higher-risk who had higher-risk
Background characteristic past 12 months of women intercourse1 intercourse1 past 12 months of men intercourse1 intercourse1

Yes 3.4 623 * 21 37.5 510 51.6 191
No 2.4 11,834 61.9 279 39.6 4,523 58.1 1,791
Religion
Hindu 2.4 9,933 62.6 238 40.6 4,042 57.0 1,640
Muslim 2.3 2,115 (68.9) 48 31.7 793 66.1 251
Christian 5.0 151 28.6 8 54.8 91 35.8 50
Sikh 1.7 128 * 2 55.1 50 52.2 27
Buddhist/Neo-Buddhist 2.6 79 * 2 23.8 43 * 10
Other 4.1 41 * 2 23.0 12 (14.6) 3
576
Caste/tribe
Scheduled caste 2.4 3,017 49.5 72 38.7 1,166 51.0 451
Scheduled tribe 3.4 1,292 40.1 44 30.8 666 39.4 205
Other backward class 2.1 5,259 73.2 108 41.9 2,100 56.8 880
Other 2.7 2,795 73.4 75 40.9 1,074 73.6 440
Don't know 0.7 94 * 1 * 27 * 7
Wealth quintile
Lowest 2.2 2,846 48.3 62 28.9 1,196 43.0 346
Second 2.6 3,053 60.9 81 32.0 1,231 49.1 393
Middle 2.0 2,741 53.7 54 35.7 1,004 56.5 359
Fourth 2.2 2,348 75.4 52 51.6 889 55.4 459
Highest 3.5 1,468 (80.0) 51 59.7 713 79.9 426
Total 2.4 12,457 62.8 300 39.4 5,033 57.5 1,983
Note: Figures in parentheses are based on 25-49 unweighted cases. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been suppressed. Total includes Jain women, who are not shown
separately.
nc = No cases
1 Sexual intercourse with a sex partner who was neither a spouse nor who lived with the respondent
2 Includes women/men who are married, but whose gauna has not been performed. If women/men who are married, but whose gauna has not been performed, report having sex with their spouses, the sex is not
considered higher risk.

3 For women, visits to parental/in-laws' home excluded.
Table 13.24 Recent HIV tests among youth
Among women and men age 15-24 who have had sexual intercourse in the past 12 months, percentage who have had
an HIV test in the 12 months preceding the survey and received the results of the last test, by background
Women Men
have been tested have been tested
for HIV in the past for HIV in the past
12 months and Number 12 months and Number
Background characteristic received results of women received results of men
Age
15-19 9.1 2,355 2.5 961
15-17 6.1 520 5.2 323
18-19 10.0 1,835 1.1 638
20-24 13.6 10,102 3.1 4,073
20-22 13.1 5,390 2.0 2,063
23-24 14.1 4,712 4.2 2,009
Residence
Urban 15.0 2,826 2.8 1,372
Rural 12.1 9,631 3.0 3,662
Schooling
No schooling 6.4 1,474 0.6 382
<5 years complete 5.1 457 3.0 337
5-7 years complete 10.5 1,616 3.0 612
8-9 years complete 10.3 3,088 2.6 1,198
10-11 years complete 14.6 2,272 2.7 838
Marital status
Never married1 3.4 337 3.4 2,039
Currently married 13.0 12,064 2.7 2,967
Widowed/divorced/
separated/deserted 13.1 56 * 27

Yes 14.0 1,442 3.1 1,189
No 12.6 11,015 2.9 3,844

Yes 16.9 623 3.8 510
No 12.5 11,834 2.9 4,523
Religion
Hindu 13.2 9,933 3.1 4,042
Muslim 9.7 2,115 2.4 793
Christian 22.5 151 1.9 91
Sikh 12.5 128 4.3 50
Buddhist/Neo-Buddhist 20.5 79 0.0 43
Other 7.3 41 0.6 12
Continued…
577
Table 13.24 Recent HIV tests among youth—Continued
Among women and men age 15-24 who have had sexual intercourse in the past 12 months, percentage who have had
an HIV test in the 12 months preceding the survey and received the results of the last test, by background
Women Men
have been tested have been tested
for HIV in the past for HIV in the past
12 months and Number 12 months and Number
Background characteristic received results of women received results of men
Caste/tribe
Scheduled caste 12.2 3,017 2.6 1,166
Scheduled tribe 11.7 1,292 2.9 666
Other 12.2 2,795 3.3 1,074
Don't know 6.7 94 * 27
Wealth quintile
Lowest 6.4 2,846 1.1 1,196
Second 9.9 3,053 3.4 1,231
Middle 16.6 2,741 3.0 1,004
Fourth 17.2 2,348 3.4 889
Highest 16.5 1,468 4.7 713
Total 12.7 12,457 3.0 5,033
Note: An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been suppressed. Total includes women
and men belonging to Jain religion, who are not shown separately.
1
Includes women/men who are married, but whose gauna has not been performed. If women/men who are married, but whose
gauna has not been performed, report having sex with their husband, the sex is not considered higher risk.
2
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WOMEN’S EMPOWERMENT 14
Key Findings
 Employment of currently married women and men:

Thirty-two percent of currently married women age 15-
49, and 98 percent of currently married men age 15-49
are employed. Among employed women, 83 percent
earn cash and 15 percent are not paid at all. More than
four-fifths of employed women (85%) participate in
decisions about the use of their own earnings.
 Access to a bank account and mobile phone:
Seventy-nine percent of women have a bank or savings
account that they themselves use, and 54 percent of
women have a mobile phone that they themselves use.
Seventy-one percent of women who have a mobile
phone can read text messages.
 Participation in decision making: Seventy-one
percent of currently married women participate in
making decisions about their own health care, major
household purchases, and visits to their own family or
relatives alone or jointly with their husband, while 11
percent do not participate in any of the three decisions.
Women’s participation in decision making has
increased since NFHS-4.
 Attitudes toward wife beating: Forty-five percent of
women and 44 percent of men agree with one or more
of seven specified reasons for wife beating. Agreement
with one or more reasons for wife beating has fallen for
women since NFHS-4 but has slightly increased for
men.
 Asset ownership: Forty-two percent of women and 60
percent of men own a house alone or jointly with
someone, and 32 percent of women and 42 percent of
men own land alone or jointly with someone.
T
his chapter explores women’s empowerment in terms of employment, earnings, control over earnings, magnitude
of women’s earnings relative to those of their husbands, decision making, empowering attitudes, house and land
ownership, and access and use of a bank account and mobile phone. While the focus of this chapter is women, data
for specific indicators are also presented for men. Comparisons of indicators for women and men help to identify gender
disparities and provide context for women’s empowerment. Questions on women’s empowerment were implemented only
in the subsample of NFHS-4 households selected for the state module.
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14.1 CURRENTLY MARRIED WOMEN’S AND MEN’S EMPLOYMENT
Employment
Respondents are considered to be employed if they have done any work other
than their housework in the 12 months before the survey.
Sample: Currently married women and men age 15-49
Earning cash for employment

Respondents are asked if they are paid for their labour in cash or in kind. Only
those who receive payment in cash only or in cash and in kind are considered
to earn cash for their employment.
Sample: Currently married women and men age 15-49 employed in the
12 months before the survey
In India, only 32 percent of currently married women age 15-49 are employed, compared with 98 percent of currently
married men age 15-49. Among employed women, 83 percent earn cash, including 8 percent whose earnings are in both
cash and in kind. Fifteen percent of employed women are not paid for the work they do. By comparison, 95 percent of
employed men earn cash, and 4 percent do not receive any payment for their work (Table 14.1).
Trends: Employment among currently married women age 15-49 has marginally increased from 31 percent in NFHS-4 to
the current 32 percent. Among the employed, the percentage of women who earn cash has increased from 80 percent to 83
percent. For men, by contrast there has been no change in the percentage employed and the percentage who earn cash has
slightly increased from 91 percent to 95 percent.
 Employment among currently married women generally increases with age, from 14 percent among women age 15-
19 to 40 percent among women age 40-44, but it falls to 37 percent in the oldest age group (Figure 14.1).
Figure 14.1 Employment by Age

Percentage of currently married women and men age 15-49
Currently married women Currently married men
98 98 98 97 98
94
87
39 40 37
35
26
18
14
15-19 20-24 25-29 30-34 35-39 40-44 45-49
Age
 Employment among currently married men increases from 87 percent among men age 15-19 to 97-98 percent among
men age 25 and older.
 Among employed women, the percentage not paid at all for the work they do is highest (22%) among women age 15-
19, but it declines to 13-17 percent among women age 25 and above.
580
 Employment among currently married women varies greatly by state, ranging from 13 percent among women in
Lakshadweep and 19 percent in Bihar, to as high as 55 percent in Meghalaya and 54 percent each in Chhattisgarh and
Manipur (Table 14.2).
14.2 CONTROL OVER WOMEN’S EARNINGS
Control over one’s own cash earnings (women)

Respondents are considered to have control over their own earnings if they
participate in decisions alone or jointly with their husband about how their
earnings will be used.
Sample: Currently married women age 15-49 who received cash earnings for
employment during the 12 months preceding the survey
Eighty-five percent of currently married women who earn

cash say that they make decisions alone or jointly with their Figure 14.2 Control Over Women's Earnings
husband on how their cash earnings are used. It is most Percent distribution of currently married women with cash
common for women to make these decisions jointly with earnings in the 12 months before the survey by the person
their husband; only 18 percent mainly make these decisions who usually makes decisions about their use
alone. For 14 percent of women, the husband is the sole Other
0.6%
decision maker regarding the use of women’s earnings
(Table 14.3.1 and Figure 14.2). Men whose wives’ earned
cash were also asked about decision making regarding their
Mainly husband Mainly wife
wife’s earnings. A similar proportion (85%) of men with 14% 18%
wives who earn cash, as married women who earn cash,
report that decisions about the wife’s earnings are made
either by the wife or jointly with them (Table 14.3.2).
Forty percent of currently married women who earn cash Wife and
husband jointly
and have husbands with cash earnings say that they earn 67%
more or about the same as their husbands. A higher
proportion (47%) of men who earn cash and whose wives
earn cash report that their wife earns about the same or more
than them (Table 14.5).
Trends: Women’s participation in decisions about their own earnings has slightly increased (from 82% to 85%) in the 4
years since NFHS-4. However, the percentage of employed women who earn cash and who earn about the same or more
than their husband has slightly decreased from 42 percent at the time of NFHS-4 to 40 percent in NFHS-5 (Table 14.3.1).
 Women’s control over their own earnings increases with age from 71 percent of women age 15-19 participating in
decisions about the use of their own earnings to 86 percent among women age 40-49 (Table 14.3.1).
 Women’s control over their own earnings increases only a little with schooling and wealth and is higher in urban than
rural areas.
 There is little variation by background characteristics in the proportion of women who earn about the same or more
than their husbands. Notably, however, less than half (46%) of employed women with 12 or more years of schooling
earn about the same or more than their husbands.
 At least 7 out of 10 currently married women with cash earnings have a say in how their earnings are used in every
state and union territory.
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 The percentage of women who earn about the same or more than their husband varies greatly by state, from a low of
19 percent in Himachal Pradesh to 53 percent in Gujarat (Table 14.5).
14.3 CONTROL OVER MEN’S EARNINGS
Control over one’s own cash earnings (men)

Respondents are considered to have control over their own earnings if they
participate in decisions alone or jointly with their wives about how their own
earnings will be used.
Sample: Currently married men age 15-49 who received cash earnings for
employment during the 12 months preceding the survey
Currently married women whose husbands had cash earnings and currently married men who had cash earnings were asked
who usually makes decisions about the use of the husband’s earnings. Women and men give slightly different answers: 6
percent each say that it is the wife who mainly decides, 71 percent women and 66 percent men say that the decision is
made jointly, and 21 percent women and 28 percent men say that the husband mainly makes the decision. Decision making
about the use of husband’s earnings does not vary much by most background characteristics, although it is notable that
joint decision making is more common among older couples than couples age 15-19 (Table 14.4).
Trends: Control over men’s earnings, based on women’s responses, has increased by 7 percentage points between NFHS-
4 and NFHS-5. In NFHS-4, 64 percent of women whose husbands had earnings said that they made decisions jointly with
their husband about the use of his earnings, compared with 71 percent in NFHS-5. Based on responses by men with earnings
too, joint decision making about husband’s earnings has increased by 1 percent from NFHS-4 (65% to 66%), but decision
making by the wife alone has decreased to 6 percent in NFHS-5 from 8 percent in NFHS-4 (Table 14.4).
14.4 PARTICIPATION IN HOUSEHOLD DECISION MAKING
Participation in common household decisions

Women are considered to participate in household decisions if they make decisions alone
or jointly with their husband in all three of the following areas: (1) woman’s own health
care, (2) major household purchases, and (3) visits to the woman’s family or relatives.
Sample: Currently married women age 15-49
Seventy-one percent of women participate in all three specified household decisions alone or jointly with their husband
and 11 percent do not participate in any of the three. Overall, 80-81 percent of women participate in each of the three
decisions alone or jointly with their husband (Table 14.7.1).
Currently married men were also asked about participation in decisions about their own health care and major household
purchases. Overall, 84 percent of men participate in both decisions, while 4 percent participate in neither decision (Table
14.7.2). Ninety percent of men participate in decisions about their own health care and 91 percent participate in decisions
about major household purchases. Notably, one-third of men make decisions about their own health care alone, compared
with only 10 percent of women.
582
Figure 14.3 Women's Participation in Decision Making
81 80 81
71
11
Woman's own Major Visits to family Participate Participate in

health care household or relatives in all three none of the three
purchases decisions decisions
Trends: Women’s participation in decision making about major household purchases has increased since NFHS-4, from
73 percent in NFHS-4 to 80 percent in NFHS-5. A similar increase by 6 percentage points (from 75% to 81%) is also
observed for women’s participation in their own health care in the 4 years since NFHS-4, and for their participation in
decisions about visits to family or relatives (from 75% to 81%).
 Women’s involvement in all three decisions increases with age from 51 percent among women age 15-19 to 75 percent
among women age 40-49 (Table 14.7.1).
 Women employed for cash are more likely to be involved in all three decisions (75%) than women who are not
employed (70%) and women who are employed but not for cash (69%).
 Women’s participation in decision making increases slightly with wealth (71% of women in the lowest wealth quintile
participate in all three decisions, compared with 74% of women in the highest wealth quintile).
 Women’s participation in all three decisions varies across states/UTs, ranging from 48 percent in Ladakh to a very
high level of 95 percent in Nagaland (Table 14.8).
14.5 MEN’S ATTITUDES TOWARD WOMEN’S ROLES IN DECISION MAKING
Men’s egalitarian attitudes toward a wife’s role in decision making

Men are asked who in a couple should have the greater say (the husband, the
wife, or both) in each of the following decisions: making major household
purchases; making purchases for daily household needs; visits to the wife’s
family or relatives; what to do with money the wife earns; and how many children
to have. Men who say that a wife should have an equal or greater say as her
husband are considered to have more egalitarian attitudes.
Sample: Men age 15-49
Overall, 57 percent of men say that a wife should have an equal or greater say in all of the five specified decisions, and
only 5 percent say that she should not have an equal or greater say in any of the five decisions (Table 14.10). For all types
of decisions, men are much more likely to say that the wife and husband should have an equal say than either one should
have a greater say. For example, for decisions regarding how many children to have, men are most likely to say that both
husband and wife should have an equal say (87%), and only 9 percent say that the husband should have more of a say. For
decisions about major household purchases, men are more likely to say that the husband should have a greater say than the
wife (29% versus 8%), and this is also true regarding decisions about visits to the wife’s family or relatives (22% versus
583
10%). For decisions about purchases for daily household needs, men are somewhat more likely to say that the wife should
have the greater say than to say that the husband should have the greater say (25% versus 20%). However, for decisions
about what to do with the money the wife earns, an equal proportion (17%) of men say that the husband and the wife should
have a greater say and two-thirds of men (66%) say that both should have an equal say.
Trends: The percentage of men who agree that a wife should have an equal or greater say in all the five specified decisions
has slightly decreased in the 4 years since NFHS-4 from 59 percent to 57 percent in NFHS-5 (14.10).
 The proportion of men who say that a wife should have an equal or greater say in all five specified decisions increases
with age from 55 percent among men age 20-24 to 57 percent among men age 30-49 (Table 14.10).
 Egalitarian attitudes regarding women’s role in household decision making are more prevalent among men in urban
areas than in rural areas, men with more years of schooling than less schooling, and men in higher wealth quintiles
than in lower wealth quintiles (Table 14.10).
 The proportion of men who say that a wife should have an equal or greater say in all five decisions ranges from 30
percent in Karnataka to more than 80 percent in Chandigarh, Haryana, Himachal Pradesh, and Uttarakhand (81-83%)
(Table 14.8).
14.6 WOMEN’S ACCESS TO MONEY AND MICROCREDIT

Several different measures of women’s access to and use of financial resources were included in NFHS-5. Over half (51%)
of women in India say that they have some money that they alone can decide how to use. Nearly four-fifths (79%) of
women have a bank or savings account that they themselves use. Fewer women, however, know about a microcredit
programme (51%), and only 11 percent have ever taken a microcredit loan (Table 14.11).
Trends: The percentage of women who have some money of their own that they alone can use has increased from 42
percent in NFHS-4 to 51 percent in NFHS-5. However, the percentage of women who have a bank or savings account that
they themselves use has substantially increased from 53 percent in NFHS-4 to 79 percent in NFHS-5. Knowledge of
microcredit programmes has increased from 41 percent in NFHS-4 to 51 percent in NFHS-5, and use of microcredit
programmes by women has slightly increased, from 8 percent to 11 percent.
 The proportion of women who are have some money that they can decide how to use, and who have a bank or savings
account that they themselves use are higher in urban areas than rural areas, and the proportion increases with age and
wealth. However, the proportion of women having knowledge of microcredit programmes is the same in urban and
rural areas (51%), and it is highest among women who are widowed/divorced/separated (58%) (Table 14.11).
 Women’s use of microcredit programmes also increases with age, from 2 percent among women age 15-19 to 16
percent each among women age 30-39 and age 40-49, and is also higher in rural areas (12%) than urban areas (9%).
However, use of microcredit programmes declines with schooling after peaking at 17 percent for women with less
than five years of schooling. This proportion varies inconsistently with wealth; women in the second and middle wealth
quintiles are more likely than women in other quintiles to have taken a microcredit loan. Widowed, divorced, separated,
and deserted women are more likely (18%) than any other group of women to have taken a microcredit loan, followed
by women with less than 5 years of schooling (17%).
 The proportion of women who have a bank or savings account that they use ranges from 64 percent in Nagaland to 93
percent in Puducherry (Table 14.12).
584
 The percentage of women who have taken a microcredit loan is highest in the South and the East. In Andhra Pradesh,
30 percent of women have ever taken a microcredit loan, followed by 25 percent in Odisha, 24 percent in Telangana,
and 21 percent in Tripura.
14.7 FREEDOM OF MOVEMENT
Freedom of movement
Women are considered to have freedom of movement if they are usually allowed
to go alone to all three of the following places: to the market, to the health facility,
and to places outside the village or community.
Fifty-six percent of women are allowed to go alone to the market, 52 percent to the health facility, and 50 percent to places
outside the village or community. Overall, only 42 percent of women in India are allowed to go alone to all three places
and 5 percent are not allowed to go alone to any of the three places (Table 14.13).
Trends: Slightly more women age 15-49 have reported that they have freedom of movement in the 4 years since NFHS-
4. In NFHS-4, only 41 percent of women they were allowed to go alone to the market, the health facility, and to places
outside the village or community. This percentage has increased marginally to 42 percent in NFHS-5.
 The proportion of women who are allowed to go alone to all three places increases steadily with age, from 26 percent
among women age 15-19 to 55 percent among women age 40-49 (Table 14.13).
 Women’s freedom of movement increases with household wealth, but it does not vary consistently with education.
The percentage of women who are allowed to go alone to all three places increases from 40 percent among women in
the lowest wealth quintile to 50 percent in the highest wealth quintile (Table 14.13).
 The proportion of women who report freedom of movement varies greatly by state. In Himachal Pradesh, 82 percent
of women are allowed to go alone to all three places, compared with only 2 percent in Lakshadweep, 15 percent in
Kerala, and less than one-third in Goa, Odisha, Manipur, Nagaland, and Karnataka (Table 14.12).
14.8 ATTITUDES TOWARD WIFE BEATING
Attitudes toward wife beating

Respondents are asked if they agree that a husband is justified in hitting or
beating his wife under each of the following seven circumstances: she goes out
without telling him, she neglects the house or the children, she argues with him,
she refuses to have sex with him, she doesn’t cook food properly, he suspects
her of being unfaithful, and she shows disrespect for her in-laws. Respondents
who answer ”yes” in at least one circumstance are considered to have attitudes
that justify wife beating.
An important indicator of empowerment is the rejection of norms that underlie and reinforce gender inequality. One such
gendered norm is husbands’ “right” to control their wives in various ways, including through violence. Rejection of such
norms signifies greater gender equality. Forty-five percent of women and 44 percent of men believe that a husband is
justified in beating his wife in at least one of seven specified circumstances (Table 14.14.1 and Table 14.14.2). Women
and men are both most likely to agree that a husband is justified in hitting or beating his wife if she shows disrespect for
585
her in-laws (32% and 31%, respectively), and are both least likely to agree that a husband is justified in hitting or beating
his wife if she refuses to have sex with him (11% and 10%, respectively) (Figure 14.4).
Trends: Attitudes toward wife beating have changed since NFHS-4. For women, agreement with any of the seven reasons
justifying wife beating has declined by 7 percentage points from 52 percent in NFHS-4; but for men, it has increased by 2
percentage points, from 42 percent in NFHS-4.
Figure 14.4 Attitudes toward Wife Beating

Percentage of women and men age 15-49 who agree that a husband is
justified in beating his wife for specific reasons
Women Men
45 44
32 31
28
22 22 23
19 20 20
15 14
11 9.7 10
Goes out Neglects Argues Refuses to Doesn't He She Any

without the house with him have sexual cook suspects shows of these
telling him or children intercourse properly she is disrespect reasons
with him unfaithful for in-laws
 Agreement with wife beating tends to increase with age for women but it decreases slightly with age for men (Table
14.14.1 and Table 14.14.2).
 For both women and men, agreement with wife beating is lower in urban than rural areas and it tends to decrease with
schooling and wealth. For example, agreement declines from 53 percent among women and 51 percent among men
with less than 5 years of schooling to 38 percent among women, and 39 percent among men with 12 or more years of
schooling.
 Agreement with wife beating is lower among Jains (24%) than among any other subgroup of men.
 There is large variation across states in women’s and men’s agreement with wife beating. For women agreement with
at least one reason for wife beating ranges from a low 9 percent in Dadra & Nagar Haveli and Daman & Diu, and 14
percent each in Chandigarh and the Andaman & Nicobar Islands, and 15 percent in Himachal Pradesh to a very high
level of 78 percent in Tamil Nadu and 84 percent each in Andhra Pradesh and Telangana. The corresponding range
for men is from 9 percent in Chandigarh to 82 percent in Karnataka (Table 14.15).
14.9 ATTITUDES TOWARD NEGOTIATING SAFER SEXUAL RELATIONS WITH HUSBAND
Attitudes toward negotiating safer sexual relations with husband

Respondents are asked if they think a wife is justified in refusing to have sex
with her husband if she knows he has a sexually transmitted disease, she knows
he has sex with other women, and she is tired or not in the mood. Respondents
who answer “yes” to one or more of these circumstance are considered to have
more gender egalitarian attitudes.
586
The majority of women (80%) and men (66%) in India believe that a woman is justified in refusing sex to her husband for
all of the three specified reasons. Eight percent of women and 10 percent of men do not agree that a wife can refuse sex
for any of the three reasons. At least four of 5 women and men agree with each of the reasons (Table 14.16.1 and Table
14.16.2).
Trends: Adult women and men who agree that women can refuse sex to their husband for all three specified reasons has
increased since NFHS-4 by 12 percentage points for women and men, from its level in NFHS-4 (68% women and 63%
men).
 There is a not much variation in women’s and men’s agreement with women’s right to refuse sex to their husbands for
all three specified reasons by most background characteristics, except religion (Table 14.16.1 and Table 14.16.2).
 Agreement with all three reasons is highest among Jain, Sikh, and Buddhist/Neo-Buddhist women and men. Ninety-
three percent of Jain women and 83 percent of Jain men agree with all three reasons for a wife to refuse sex to her
husband.
 Agreement with all three reasons varies greatly across states. Women are most likely to agree with all three reasons in
Delhi (94%), Himachal Pradesh, Uttarakhand, and Goa (90% each) and least likely to agree with all three reasons in
Jammu & Kashmir (60%) and Ladakh (59%). Men are most likely to agree with all three reasons in Goa (93%) and
Lakshadweep (90%) and least likely to agree with all three reasons in Ladakh (43%) and Meghalaya (39%) (Table
14.17).
Men were asked some additional questions to assess gender egalitarian attitudes. In particular, men were asked, if a woman
refuses to have sex with her husband when he wants her to, does he have the right to display each of the following four
behaviours: get angry and reprimand her; refuse to give her money or other means of financial support; use force and have
sex with her even if she doesn’t want to; and go and have sex with another woman.
In India, only 6 percent of men age 15-49 agree that men have the right to display all four of these behaviours if a wife
refuses him sex, and 72 percent do not agree with any of the four behaviours. However, 19 percent of men do agree that a
husband has the right to get angry and reprimand a woman if she refuses to have sex with her husband (Table 14.18). In
almost all states, the percentage of men who agree with none of the four behaviours is well above 70 percent, and the
percentage of men who agree with none of the four behaviours is less than 50 percent only in Punjab (21%), Chandigarh
(28%), Karnataka (45%), and Ladakh (46%) (Table 14.19). The percentage of men who agree with none of the four
behaviours has decreased by 5 percentage points since NFHS-4 when it was 77 percent.
More than four in five women (82%) can say no to their husband if they do not want to have sexual intercourse (Table
14.20). Women are most likely to be able to say no in Goa (92%) and least likely to be able to say no in Arunachal Pradesh
(63%) and Jammu & Kashmir (65%) (Table 14.21).
14.10 WOMEN’S AND MEN’S OWNERSHIP OF ASSETS
Ownership of a house or land

Respondents who own a house or land, whether alone or jointly with someone
else.
NFHS-5 indicates that in India, more men than women age 15-49 own property. Forty-two percent of women and 60
percent of men own a house, and 32 percent of women and 42 percent of men own land either alone or jointly with someone
else (Table 14.22 and Figure 14.5).
587
 Ownership of property increases sharply with age for both women and men. However, the increase is much greater for
men than for women. For example, for men, ownership of a house doubles from 40 percent among men age 15-19 to
80 percent among men age 40-49; whereas the corresponding increase for women is from 30 percent to 52 percent.
 Ownership of a house and land varies with residence. Rural women and men are more likely than urban women and
men to own a house and to own land.
 Property ownership declines with schooling and

wealth for both women and men. Ownership of a Figure 14.5 Ownership of Assets
house declines from 45 percent for women in the
lowest wealth quintile to 40 percent for women in
the highest wealth quintile; for men the Women Men
corresponding decline is from 64 percent to 54
percent.
60
 House ownership among women is higher in
Ladakh and Arunachal Pradesh, where more than 42 42
2 out of 3 women own a house alone or jointly 32
with some else (72% and 69%, respectively), and
land ownership is also most common in Ladakh
and Arunachal Pradesh, where more than 3 in 5
women own land alone or jointly (64% and 63%,
Own house Own land
respectively). In the South, women’s ownership of
(alone or jointly) (alone or jointly)
property is most common in Karnataka and
Telangana (Table 14.23).
14.11 OWNERSHIP AND USE OF A MOBILE PHONE

Women age 15-49 were asked if they had a mobile phone that they themselves use. In addition, women who said they had
a mobile phone were asked if they can read text messages. More than half (54%) of women have a mobile phone that they
themselves use, and among women who have a mobile phone, 71 percent say that they can read text messages (Table
14.22).
 Ownership of a mobile phone that women themselves use increases with age, from 32 percent among women age 15-
19 to 65 percent among women age 25-29 and then decreases among older women. Among women with a mobile
phone, the ability to read text messages, however, declines with age from 89 percent among women age 15-19 to 53
percent among women age 40-49.
 Rural women and women with no schooling are less likely than most other women to have a mobile phone that they
themselves use and to be able to read text messages if they have a mobile phone. Urban women (69%) are more likely
than rural women (47%) to own a mobile phone that they themselves use (Figure 14.6).
588
Figure 14.6 Ownership of Financial Assets and
Mobile Phone
Urban Rural
81 77
69
57
49 47
Have money Have and use Have a mobile

they decide a bank account phone they
how to use themselves use
 Mobile phone ownership and the ability to read text messages both increase sharply with wealth. Only 33 percent of
women in the lowest wealth quintile have a mobile phone that they themselves use, compared with 79 percent of
women in the highest wealth quintile.
 Ownership of a mobile phone that women themselves use varies from 39 percent in Madhya Pradesh and 41 percent
in Chhattisgarh to 91 percent in Goa, followed by 89 percent in Sikkim and 87 percent in Kerala. At least three-fifths
of the women who have a mobile phone they themselves use are able to read text messages in every state except Bihar
(Table 14.23 ).
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LIST OF TABLES
For detailed information on women’s empowerment, see the following tables:
Tables
Table 14.1 Employment and cash earnings
Table 14.2 Employment and cash earnings by state/union territory
Control over women’s cash earnings and relative magnitude of women’s cash earnings:
Table 14.3.1
Women’s report
Table 14.3.2 Control over women's cash earnings and relative magnitude of women's cash earnings: Men's reports
Table 14.4 Control over men's cash earnings
Control over women's and men's cash earnings and relative magnitude of women's cash earnings by
Table 14.5
state/union territory
Table 14.6 Participation in decision making
Table 14.7.1 Women’s participation in decision making by background characteristics
Table 14.7.2 Men’s participation in decision making by background characteristics
Table 14.8 Women's participation in decision making by state/union territory
Table 14.9 Men's attitudes toward a wife's participation in decision making
Table 14.10 Men's attitudes toward a wife's participation in decision making by background characteristics
Table 14.11 Women's access to money and credit
Table 14.12 Women's access to money and credit and freedom of movement by state/union territory
Table 14.13 Women's freedom of movement by background characteristics
Table 14.14.1 Attitudes toward wife beating: Women
Table 14.14.2 Attitudes toward wife beating: Men
Table 14.15 Attitudes toward wife beating by state/union territory
Table 14.16.1 Attitudes toward refusing sexual intercourse with husband: Women
Table 14.16.2 Attitudes toward refusing sexual intercourse with husband: Men
Table 14.17 Attitudes toward refusing sexual intercourse with husband by state/union territory
Table 14.18 Men's attitudes toward a husband's rights when his wife refuses to have sexual intercourse
Men's attitudes toward a husband's rights when his wife refuses to have sexual intercourse by
Table 14.19
state/union territory
Table 14.20 Ability to negotiate sexual relations with husband
Table 14.21 Ability to negotiate sexual relations with husband by state/union territory
Table 14.22 Ownership of assets
Table 14.23 Ownership of assets by state/union territory
590
Table 14.1 Employment and cash earnings of women and men
Percentage of currently married women and men age 15-49 who were employed at any time in the 12 months preceding
the survey and the percent distribution of currently married women and men employed in the 12 months preceding the
survey by type of earnings, according to age, India, 2019-21
Number of
Percent distribution of respondents employed in
Percentage respondents
past 12 months by type of earnings
employed employed in
in the past Number of Cash and In-kind the past
Age 12 months respondents Cash only in-kind only Not paid Total 12 months
WOMEN
15-19 13.9 2,298 69.6 7.5 1.0 21.9 100.0 320

20-24 17.8 10,762 69.6 9.3 2.5 18.7 100.0 1,913
25-29 25.7 15,184 74.4 7.7 2.9 15.0 100.0 3,902
30-34 35.0 14,250 78.5 6.6 1.9 13.0 100.0 4,983
35-39 39.3 13,486 75.8 7.7 2.5 13.9 100.0 5,294
40-44 40.0 10,838 74.8 8.2 2.3 14.8 100.0 4,338
45-49 37.3 10,911 72.3 8.6 2.5 16.7 100.0 4,074
Total age 15-49 31.9 77,729 74.8 7.8 2.4 15.0 100.0 24,824
MEN
15-19 87.0 273 80.2 15.4 0.8 3.6 100.0 237

20-24 94.4 2,954 87.9 7.6 0.9 3.5 100.0 2,789
25-29 97.5 8,156 87.2 8.4 1.2 3.2 100.0 7,953
30-34 97.9 10,948 88.1 7.8 1.1 3.0 100.0 10,716
35-39 98.2 12,163 86.8 8.6 1.1 3.4 100.0 11,948
40-44 97.3 10,328 84.5 10.0 1.3 4.1 100.0 10,045
45-49 97.5 10,654 83.4 9.9 1.6 5.0 100.0 10,390
Total age 15-49 97.5 55,475 86.1 8.9 1.3 3.8 100.0 54,079
Age 50-54 96.2 8,264 82.4 11.2 2.1 4.3 100.0 7,950
Total age 15-54 97.3 63,739 85.6 9.2 1.4 3.8 100.0 62,029
591
Table 14.2 Employment and cash earnings by state/union territory
Percentage of currently married women and men age 15-49 who were employed in the 12 months preceding the survey and
among those employed in the 12 months preceding the survey, percentage who were earning cash, according to state/union
Currently married women Currently married men

Percentage Among those employed Percentage Among those employed
employed in the in the past 12 months, employed in the in the past 12 months,
State/union territory past 12 months percentage earning cash past 12 months percentage earning cash
India 31.9 82.6 97.5 95.0
North
Chandigarh 23.1 100.0 100.0 100.0
Delhi 22.2 98.1 98.5 99.4
Haryana 22.0 81.9 95.5 96.4
Jammu & Kashmir 30.3 60.8 97.0 98.3
Ladakh 47.7 69.0 95.8 97.1
Punjab 24.9 89.7 98.9 99.1
Rajasthan 30.4 60.1 96.6 92.1
Uttarakhand 25.7 77.8 96.3 97.7
Central
Chhattisgarh 54.3 82.0 97.3 89.7
Madhya Pradesh 37.6 75.6 97.6 92.9
Uttar Pradesh 20.6 75.4 95.7 92.5
East
Bihar 19.2 70.7 96.1 93.4
Jharkhand 26.2 70.2 96.6 89.9
Odisha 27.3 87.9 98.1 96.8
West Bengal 20.9 92.3 98.5 98.9
Northeast
Assam 21.8 88.5 98.7 95.6
Manipur 53.6 84.7 99.0 93.9
Meghalaya 54.7 86.0 97.8 96.9
Mizoram 34.0 80.7 96.3 91.8
Nagaland 41.2 50.5 95.1 75.1
Sikkim 35.6 89.1 94.9 93.5
Tripura 32.5 74.5 94.0 98.0
West
Daman & Diu 32.6 97.0 98.1 97.1
Goa 30.4 93.1 97.8 100.0
Gujarat 38.2 78.6 98.0 92.5
Maharashtra 43.9 83.4 98.7 96.5
South
Andhra Pradesh 49.8 87.7 98.8 90.5
Karnataka 45.8 89.4 95.3 94.4
Kerala 29.0 98.6 97.4 99.1
Lakshadweep 13.0 100.0 97.5 100.0
Puducherry 40.5 97.5 98.0 99.9
Tamil Nadu 46.0 94.8 99.0 98.3
Telangana 53.3 92.8 97.0 94.2
592
Table 14.3.1 Control over women's cash earnings and relative magnitude of women's cash earnings: Women's reports
Percent distribution of currently married women age 15-49 who received cash earnings for employment in the 12 months preceding the survey by person who decides how their cash
earnings are used and by whether women earned more or less than their husbands, according to background characteristics, India, 2019-21
Person who decides how the Women’s cash earnings compared with their
women's cash earnings are used: husband's cash earnings:
Background Mainly Wife and Mainly About Husband has Don't know/ Number of
characteristic wife husband husband Other Total More Less the same no earnings missing Total women
Age
15-19 13.6 57.6 27.3 1.5 100.0 25.4 51.9 12.7 8.5 1.5 100.0 247
20-24 13.0 68.1 17.0 1.9 100.0 22.4 51.6 16.1 7.8 2.1 100.0 1,509
25-29 15.7 68.2 14.8 1.3 100.0 19.4 55.7 17.6 6.2 1.0 100.0 3,202
30-39 19.1 66.8 13.8 0.3 100.0 20.2 54.6 19.4 4.8 1.2 100.0 8,664
40-49 19.2 66.7 13.8 0.2 100.0 21.5 51.6 20.4 5.3 1.2 100.0 6,893
Residence
Urban 23.9 65.2 10.6 0.4 100.0 21.7 51.7 20.5 5.2 0.8 100.0 6,050
Rural 15.7 67.8 15.9 0.7 100.0 20.3 54.3 18.5 5.6 1.4 100.0 14,464
593
Schooling
No schooling 16.0 66.9 16.5 0.5 100.0 19.3 53.8 19.7 5.9 1.3 100.0 6,838
<5 years complete 18.7 67.6 13.4 0.2 100.0 17.6 55.8 20.7 4.6 1.4 100.0 1,667
5-7 years complete 16.1 68.2 15.1 0.6 100.0 19.4 56.7 18.2 4.7 1.0 100.0 3,165
8-9 years complete 19.1 65.8 14.3 0.9 100.0 22.5 54.2 16.1 5.9 1.3 100.0 2,796
10-11 years complete 19.0 65.9 14.6 0.5 100.0 23.4 55.0 15.2 5.3 1.1 100.0 2,236
12 or more years
complete 21.9 67.4 10.0 0.6 100.0 22.8 48.0 22.7 5.3 1.3 100.0 3,812
Nuclear 17.9 68.5 13.4 0.2 100.0 20.9 54.3 18.5 5.1 1.1 100.0 11,339
Non-nuclear 18.3 65.2 15.5 1.1 100.0 20.4 52.6 19.9 5.8 1.3 100.0 9,176
Religion
Hindu 18.1 67.1 14.2 0.6 100.0 21.0 53.4 19.0 5.4 1.1 100.0 17,771
Muslim 19.4 61.4 18.5 0.7 100.0 19.5 53.2 17.9 7.4 2.1 100.0 1,490
Christian 18.2 69.3 12.0 0.6 100.0 17.0 57.2 20.1 3.3 2.4 100.0 666
Sikh 12.2 78.5 8.4 0.9 100.0 15.4 53.8 26.1 3.6 1.1 100.0 269
Buddhist/Neo-Buddhist 21.4 67.2 11.4 0.0 100.0 22.8 53.9 21.5 1.5 0.3 100.0 170
Other 9.5 81.8 8.5 0.3 100.0 18.7 48.0 30.0 2.1 1.1 100.0 112
Continued…
Table 14.3.1 Control over women's cash earnings and relative magnitude of women's cash earnings: Women's reports—Continued
Percent distribution of currently married women age 15-49 who received cash earnings for employment in the 12 months preceding the survey by person who decides how their cash
earnings are used and by whether women earned more or less than their husbands, according to background characteristics, India, 2019-21
Person who decides how the Women’s cash earnings compared with their
Background Mainly Wife and Mainly About Husband has Don't know/ Number of
characteristic wife husband husband Other Total More Less the same no earnings missing Total women
Caste/tribe
Scheduled caste 17.6 67.6 14.3 0.5 100.0 21.7 54.2 17.4 5.8 0.9 100.0 5,146
Scheduled tribe 14.3 69.6 15.7 0.4 100.0 20.0 53.2 20.6 5.0 1.2 100.0 2,761
Other 23.5 64.2 11.8 0.5 100.0 18.5 53.2 20.5 5.8 2.1 100.0 3,687
Don't know 15.5 61.9 22.6 0.0 100.0 15.0 62.6 12.5 4.7 5.1 100.0 112
Wealth quintile
Lowest 15.6 69.5 14.4 0.5 100.0 20.1 52.1 19.9 6.3 1.6 100.0 4,086
Second 16.8 67.2 15.3 0.7 100.0 19.2 54.3 19.7 5.7 1.2 100.0 4,574
Middle 17.7 66.6 15.1 0.6 100.0 21.6 55.9 16.7 5.0 0.9 100.0 4,721
594
Fourth 18.1 66.8 14.8 0.4 100.0 22.5 53.6 17.4 5.4 1.0 100.0 3,960
Highest 23.7 64.5 11.1 0.7 100.0 20.2 50.6 23.0 4.8 1.4 100.0 3,173
Total 18.1 67.0 14.3 0.6 100.0 20.7 53.5 19.1 5.4 1.2 100.0 20,514
Note: Total includes Jain women, who are not shown separately.
1
Nuclear households comprised of a married couple or a man or a woman living alone or with unmarried children (biological, adopted, or fostered) with or without unrelated individuals. The remaining households
are non-nuclear households.
Table 14.3.2 Control over women's cash earnings and relative magnitude of women's cash earnings: Men's reports
Percent distribution of currently married men age 15-49 whose wives are employed and receive cash earnings by the person who decides how the wife's cash earnings are used and by
whether the wife earns more or less than them, according to background characteristics, India, 2019-21
Person who decides how the Wife's cash earnings compared with their
Mainly Wife and Mainly About Husband has Don't know/ Number
Background characteristic wife husband husband Other Missing Total More Less the same no earnings missing Total of men
Age
20-24 25.2 53.4 20.8 0.6 0.0 100.0 34.4 43.3 15.2 5.3 1.8 100.0 172
25-29 22.8 60.3 15.6 1.2 0.0 100.0 23.1 49.5 19.5 7.2 0.7 100.0 817
30-39 21.2 63.5 15.2 0.2 0.0 100.0 25.6 48.8 19.2 5.0 1.5 100.0 3,527
40-49 22.8 62.2 14.9 0.0 0.0 100.0 25.2 48.5 18.4 6.6 1.4 100.0 4,057
Residence
Urban 26.3 60.6 12.8 0.4 0.0 100.0 22.2 53.9 19.3 3.4 1.3 100.0 3,006
Rural 20.0 63.3 16.5 0.2 0.0 100.0 26.9 45.8 18.5 7.4 1.4 100.0 5,590
Schooling
595
No schooling 19.8 62.9 17.1 0.1 0.0 100.0 26.5 49.5 18.3 5.2 0.5 100.0 1,478
<5 years complete 24.8 58.5 16.6 0.1 0.0 100.0 31.9 45.5 15.0 6.5 1.1 100.0 895
5-7 years complete 23.0 60.6 15.7 0.7 0.0 100.0 26.9 46.8 19.2 5.5 1.6 100.0 1,422
8-9 years complete 24.5 60.2 14.9 0.4 0.0 100.0 26.2 43.7 21.2 7.4 1.5 100.0 1,472
10-11 years complete 17.5 66.3 16.1 0.1 0.0 100.0 24.7 50.6 15.5 7.0 2.2 100.0 1,221
12 or more years
complete 23.1 64.1 12.7 0.1 0.0 100.0 20.2 52.7 20.5 5.2 1.3 100.0 2,107
Nuclear 20.2 63.8 16.0 0.0 0.0 100.0 25.1 49.6 18.0 5.5 1.8 100.0 4,689
Non-nuclear 24.5 60.6 14.3 0.5 0.0 100.0 25.5 47.4 19.6 6.6 0.8 100.0 3,906
Religion
Hindu 21.9 62.4 15.4 0.2 0.0 100.0 25.6 48.0 19.1 6.1 1.3 100.0 7,432
Muslim 20.6 58.7 20.4 0.3 0.0 100.0 23.3 55.7 14.7 5.0 1.3 100.0 501
Christian 22.2 66.1 11.6 0.1 0.0 100.0 22.1 47.9 21.1 7.5 1.4 100.0 338
Sikh 15.9 76.4 7.7 0.0 0.0 100.0 36.7 38.4 20.4 2.5 2.0 100.0 58
Buddhist/Neo-Buddhist 34.2 57.9 6.7 1.2 0.0 100.0 30.8 46.4 8.1 7.7 7.1 100.0 161
Other 38.3 56.9 4.8 0.0 0.0 100.0 8.2 82.0 7.7 2.1 0.0 100.0 86
Continued…
Table 14.3.2 Control over women's cash earnings and relative magnitude of women's cash earnings: Men's reports—Continued
Percent distribution of currently married men age 15-49 whose wives are employed and receive cash earnings by the person who decides how the wife's cash earnings are used and by
whether the wife earns more or less than them, according to background characteristics, India, 2019-21
Person who decides how the Wife's cash earnings compared with their
Mainly Wife and Mainly About Husband has Don't know/ Number
Background characteristic wife husband husband Other Missing Total More Less the same no earnings missing Total of men
Caste/tribe
Scheduled caste 23.9 63.4 12.5 0.3 0.0 100.0 28.6 46.5 19.1 4.4 1.4 100.0 1,923
Scheduled tribe 21.3 65.0 13.6 0.0 0.0 100.0 25.7 44.6 20.1 8.4 1.1 100.0 1,340
Other backward class 20.1 61.9 17.6 0.5 0.0 100.0 26.0 49.3 16.9 6.1 1.8 100.0 3,416
Other 25.0 60.3 14.7 0.0 0.0 100.0 19.7 52.3 21.1 6.0 0.8 100.0 1,878
Don't know (12.3) (68.5) (19.2) (0.0) (0.0) 100.0 (51.5) (46.7) (0.7) (0.7) (0.4) 100.0 38
Wealth quintile
Lowest 21.2 64.5 14.2 0.1 0.0 100.0 30.9 42.8 18.3 7.0 1.0 100.0 1,522
Second 22.1 62.1 15.5 0.2 0.0 100.0 25.5 47.2 19.7 5.7 1.8 100.0 1,813
Middle 20.1 61.3 18.0 0.6 0.0 100.0 25.4 50.3 15.9 7.3 1.1 100.0 1,881
596
Fourth 22.0 61.0 16.7 0.3 0.0 100.0 23.8 50.0 19.8 5.4 1.0 100.0 1,755
Highest 25.6 63.4 11.0 0.0 0.0 100.0 21.1 52.1 20.3 4.6 1.9 100.0 1,623
Total age 15-49 22.2 62.4 15.2 0.2 0.0 100.0 25.3 48.6 18.8 6.0 1.4 100.0 8,595
Age 50-54 19.9 66.8 13.3 0.0 0.0 100.0 24.6 46.4 20.6 7.9 0.6 100.0 1,407
Total age 15-54 21.8 63.0 14.9 0.2 0.0 100.0 25.2 48.3 19.0 6.3 1.3 100.0 10,002
Note: Figures in parentheses are based on 25-49 unweighted cases. Total includes men age 15-19 and Jain men, who are not shown separately.
1
Nuclear households comprised of a married couple or a man or a woman living alone or with unmarried children (biological, adopted, or fostered) with or without unrelated individuals.
Table 14.4 Control over men's cash earnings
Percent distributions of currently married women age 15-49 whose husbands receive cash earnings and currently married men age 15-49 who receive cash earnings, by person
who decides how men's cash earnings are used, according to background characteristics, India, 2019-21
Women Men
Background Mainly Wife and Mainly Number Mainly Wife and Mainly Number
characteristic wife husband husband Other Total of women wife husband husband Other Total of men
Age
15-19 3.2 58.7 28.9 9.2 100.0 2,196 4.5 58.3 35.5 1.7 100.0 227
20-24 4.6 67.7 24.2 3.5 100.0 10,368 4.8 65.3 28.2 1.8 100.0 2,666
25-29 4.6 70.8 22.4 2.1 100.0 14,810 5.9 66.3 27.1 0.7 100.0 7,607
30-39 6.9 72.1 20.2 0.8 100.0 27,177 6.0 65.3 28.3 0.3 100.0 21,678
40-49 8.0 71.6 20.2 0.3 100.0 21,283 7.1 65.5 27.2 0.2 100.0 19,192
Residence
Urban 7.2 71.6 19.7 1.5 100.0 23,590 6.9 65.7 27.0 0.3 100.0 17,754
Rural 6.0 70.3 22.2 1.5 100.0 52,244 6.0 65.4 28.1 0.5 100.0 33,615
Schooling
597
No schooling 7.0 69.3 23.0 0.7 100.0 20,934 7.9 61.6 30.0 0.4 100.0 7,524
<5 years complete 7.1 70.6 21.1 1.2 100.0 4,758 7.0 64.6 27.8 0.5 100.0 4,525
5-7 years complete 6.4 70.3 22.1 1.3 100.0 11,577 6.8 65.7 27.3 0.3 100.0 8,273
8-9 years complete 6.1 69.6 21.9 2.4 100.0 12,339 6.3 65.4 27.8 0.6 100.0 9,540
10-11 years complete 6.2 70.5 21.5 1.8 100.0 9,520 6.0 65.1 28.5 0.5 100.0 8,121
12 or more years
complete 5.6 73.7 18.8 2.0 100.0 16,706 5.2 68.2 26.3 0.4 100.0 13,386
Nuclear 7.1 72.3 20.4 0.2 100.0 36,313 7.0 66.8 26.1 0.0 100.0 24,154
Non-nuclear 5.7 69.2 22.4 2.7 100.0 39,521 5.7 64.3 29.2 0.8 100.0 27,215
Religion
Hindu 6.5 71.3 20.6 1.6 100.0 61,478 6.5 65.8 27.3 0.4 100.0 40,525
Muslim 5.3 65.6 27.7 1.4 100.0 10,510 5.4 62.6 31.7 0.3 100.0 8,228
Christian 7.2 73.5 18.8 0.5 100.0 1,650 6.6 69.9 23.5 0.1 100.0 1,269
Sikh 4.4 79.3 15.0 1.3 100.0 1,305 3.2 81.2 14.7 0.9 100.0 472
Buddhist/Neo-Buddhist 6.7 64.8 26.8 1.7 100.0 453 13.5 64.4 21.7 0.3 100.0 568
Jain 3.5 77.8 17.6 1.1 100.0 144 0.3 78.5 21.2 0.0 100.0 151
Other 5.5 79.7 14.4 0.5 100.0 293 6.0 61.3 32.5 0.2 100.0 156
Continued…
Table 14.4 Control over men's cash earnings—Continued
Percent distributions of currently married women age 15-49 whose husbands receive cash earnings and currently married men age 15-49 who receive cash earnings, by person
who decides how men's cash earnings are used, according to background characteristics, India, 2019-21
Women Men
Background Mainly Wife and Mainly Number Mainly Wife and Mainly Number
characteristic wife husband husband Other Total of women wife husband husband Other Total of men
Caste/tribe
Scheduled caste 7.1 70.2 21.0 1.6 100.0 16,180 6.8 66.4 26.3 0.4 100.0 11,046
Scheduled tribe 5.8 72.3 20.9 1.1 100.0 6,915 6.8 66.6 26.2 0.4 100.0 4,751
Other 6.0 71.1 21.5 1.4 100.0 19,006 5.8 65.0 28.7 0.4 100.0 14,354
Don't know 5.7 70.2 20.6 3.6 100.0 535 6.2 73.3 20.2 0.4 100.0 286
Wealth quintile
Lowest 6.2 70.6 22.1 1.1 100.0 14,166 6.6 65.7 27.2 0.5 100.0 9,142
Second 6.2 70.1 22.4 1.3 100.0 15,390 6.0 64.1 29.4 0.4 100.0 10,244
Middle 7.1 69.3 22.0 1.7 100.0 15,582 6.6 64.8 28.3 0.3 100.0 10,838
Fourth 6.4 69.9 22.1 1.7 100.0 15,494 6.7 65.5 27.3 0.4 100.0 11,268
598
Highest 5.8 73.7 18.6 1.9 100.0 15,202 5.7 67.5 26.4 0.5 100.0 9,878
Total age 15-49 6.3 70.7 21.4 1.5 100.0 75,834 6.3 65.5 27.8 0.4 100.0 51,369
na = Not applicable
1
Nuclear households are households comprised of a married couple or a man or a woman living alone or with unmarried children (biological, adopted, or fostered) with or without unrelated individuals.
The remaining households are non-nuclear households.
Table 14.5 Control over women's and men's cash earnings and relative magnitude of women's cash earnings by state/
union territory
Percentage of currently married women and men age 15-49 by person who decides how women's and men's cash
earnings are used and by the relative magnitude of women's cash earnings, compared with their husband's cash
earnings, by state/union territory, India, 2019-21
Percentage of currently married women Percentage of currently married men

who report that they: who report that:
Alone or Alone or jointly They alone or Their wife
jointly with with their jointly with alone or jointly
their husband husband their wife with them
decide how decide how Earn more decide how decides how Their wife
their own their husband's or about the their wife's their own earns more
earnings earnings same as their earnings earnings or about the
State/union territory are used1 are used2 husband3 are used4 are used5 same as them6
India 85.1 75.4 39.9 77.6 71.8 46.8
North
Chandigarh 85.1 92.5 52.7 90.4 94.1 67.0
Delhi 95.3 79.8 33.3 72.3 72.2 40.9
Haryana 87.8 76.3 42.5 77.1 83.6 46.8
Jammu & Kashmir 70.5 67.9 38.6 82.6 66.0 24.7
Ladakh 68.2 68.8 44.9 91.9 75.0 21.1
Punjab 91.1 84.5 39.7 84.0 84.9 50.5
Rajasthan 80.1 70.6 37.8 81.0 69.0 45.5
Uttarakhand 92.7 78.8 31.5 83.2 87.4 50.4
Central
Chhattisgarh 88.9 83.3 47.6 84.1 79.8 55.1
Madhya Pradesh 85.0 74.3 43.0 86.5 76.5 56.9
Uttar Pradesh 85.6 75.2 40.9 76.5 76.6 58.5
East
Bihar 91.3 79.5 45.6 72.1 75.7 54.3
Jharkhand 88.1 82.7 40.0 79.2 85.1 53.0
Odisha 91.6 81.0 33.6 77.8 72.2 48.5
West Bengal 89.1 72.2 39.2 64.3 66.6 17.2
Northeast
Assam 87.5 77.7 39.6 78.5 77.6 46.0
Manipur 84.4 80.6 44.8 93.1 80.6 32.2
Meghalaya 89.3 80.6 32.4 67.2 77.7 26.8
Mizoram 95.4 89.6 25.7 90.2 73.4 37.0
Nagaland 97.4 93.9 42.8 95.5 87.0 36.4
Sikkim 90.5 77.7 26.4 72.8 82.3 31.9
Tripura 91.5 76.4 44.3 85.6 56.6 49.7
West
and Daman & Diu 76.7 82.2 59.9 58.8 83.3 52.8
Goa 99.0 79.8 41.6 41.9 53.8 21.9
Gujarat 90.5 81.2 53.2 83.9 73.1 56.5
Maharashtra 85.1 74.1 40.0 71.0 73.1 50.0
Continued…
599
Table 14.5 Control over women's and men's cash earnings and relative magnitude of women's cash earnings by state/
union territory—Continued
Percentage of currently married women and men age 15-49 by person who decides how women's and men's cash
earnings are used and by the relative magnitude of women's cash earnings, compared with their husband's cash
earnings, by state/union territory, India, 2019-21
Percentage of currently married women Percentage of currently married men

who report that they: who report that:
Alone or Alone or jointly They alone or Their wife
jointly with with their jointly with alone or jointly
their husband husband their wife with them
decide how decide how Earn more decide how decides how Their wife
their own their husband's or about the their wife's their own earns more
earnings earnings same as their earnings earnings or about the
State/union territory are used1 are used2 husband3 are used4 are used5 same as them6
South
Andaman & Nicobar
Islands 100.0 82.4 31.5 61.6 63.3 23.5
Andhra Pradesh 78.5 70.9 37.8 90.7 79.1 53.9
Karnataka 73.9 68.2 36.6 84.6 52.8 33.2
Kerala 91.0 68.6 32.9 74.5 68.6 35.9
Lakshadweep 100.0 80.0 33.5 65.9 37.0 31.5
Puducherry 93.9 82.6 40.4 89.9 80.4 38.5
Tamil Nadu 87.1 78.3 35.8 76.6 83.2 56.2
Telangana 75.2 68.7 38.5 86.8 66.5 43.6
1
Women who are employed for cash
2
Women whose husbands earn cash
3
Women who earn cash and whose husbands earn cash
4
Men whose wives are employed for cash
5
Men who earn cash
6
Men who earn cash and whose wives earn cash
600
Table 14.6 Participation in decision making
Percent distribution of currently married women and men age 15-49 by who usually makes decisions about specific issues,
by residence, India, 2019-21
Respondent
Mainly and spouse Mainly Someone
Decision respondent jointly spouse else Other Missing Total
URBAN WOMEN
Own health care 11.1 72.1 15.0 1.1 0.6 0.0 100.0
Major household purchases 8.6 73.9 14.0 2.6 0.9 0.0 100.0
Visits to her family or relatives 9.9 73.9 13.8 1.7 0.6 0.0 100.0
RURAL WOMEN
Own health care 9.7 70.4 17.9 1.3 0.6 0.0 100.0
TOTAL WOMEN
Own health care 10.1 70.9 17.0 1.3 0.6 0.0 100.0
URBAN MEN
Own health care 34.1 55.9 9.0 1.0 0.0 0.0 100.0
RURAL MEN
Own health care 33.0 56.3 9.6 0.9 0.1 0.0 100.0
TOTAL MEN
Own health care 33.3 56.2 9.4 0.9 0.1 0.0 100.0
601
Table 14.7.1 Women's participation in decision making by background characteristics
Percentage of currently married women age 15-49 who usually make specific decisions either by themselves or jointly
with their husband, by background characteristics, India, 2019-21
Percentage of women who usually Percentage

make specific decisions alone or Percentage who
jointly with their husband who participate
Making major Visits to her participate in none of
Own household family or in all three the three Number of
Background characteristic health care purchases relatives decisions decisions women
Age
15-19 67.1 62.4 65.9 51.0 22.4 2,298
20-24 76.0 72.3 73.8 63.3 16.4 10,762
25-29 79.4 76.9 79.2 68.7 13.0 15,184
30-39 83.1 82.0 83.4 73.7 9.4 27,735
40-49 83.7 83.5 84.6 75.2 8.8 21,749
Residence
Urban 83.2 82.5 83.8 73.9 9.0 24,074
Rural 80.1 78.2 79.8 69.7 12.3 53,655
Schooling
No schooling 80.1 78.6 79.5 70.1 12.5 21,503
<5 years complete 81.7 80.0 82.2 71.9 10.8 4,874
5-7 years complete 80.9 79.2 80.6 71.0 11.7 11,851
8-9 years complete 80.2 78.7 80.3 69.7 11.6 12,671
10-11 years complete 80.0 78.7 80.1 69.4 11.7 9,720
Employment (past 12 months)

Employed 83.8 82.9 83.9 74.1 8.6 20,646
Employed, for cash 84.3 84.0 84.5 75.0 8.0 17,323
Employed, not for cash 81.2 77.1 80.7 69.4 11.6 3,323
Not employed 80.1 78.3 80.0 69.9 12.3 57,083

0 75.3 71.1 75.3 61.9 15.7 7,337
1-2 81.3 80.0 81.5 71.4 11.0 44,580
3-4 82.1 81.0 81.9 72.7 10.7 21,496
5 or more 83.6 81.6 82.6 74.7 10.3 4,316
Nuclear 82.9 83.1 83.6 74.2 9.3 37,047
Non-nuclear 79.4 76.2 78.7 68.1 13.1 40,682
Religion
Hindu 81.3 79.8 81.4 71.3 11.0 63,121
Muslim 78.4 76.5 77.4 67.6 13.8 10,697
Christian 84.5 84.6 86.5 76.8 8.0 1,678
Sikh 87.7 83.8 85.9 79.1 8.5 1,321
Jain 86.1 85.8 93.6 77.7 4.0 153
Other 86.8 84.2 84.7 79.3 8.9 297
Continued…
602
Table 14.7.1 Women's participation in decision making by background characteristics—Continued
Percentage of currently married women age 15-49 who usually make specific decisions either by themselves or jointly
with their husband, by background characteristics, India, 2019-21
Percentage of women who usually Percentage

make specific decisions alone or Percentage who
jointly with their husband
who participate
Making major Visits to her participate in none of
Own household family or in all three the three Number of
Background characteristic health care purchases relatives decisions decisions women
Caste/tribe
Scheduled caste 81.1 79.6 81.2 71.2 11.3 16,653
Scheduled tribe 82.2 79.8 81.5 71.7 10.8 7,115
Other 82.3 80.2 82.0 72.2 10.7 19,391
Don't know 75.0 68.0 75.5 63.2 18.0 550
Wealth quintile
Lowest 80.8 79.2 80.0 71.2 12.4 14,573
Second 79.8 77.7 78.8 69.2 13.0 15,829
Middle 80.4 78.9 80.4 70.2 11.8 15,969
Fourth 80.8 79.4 81.7 70.4 10.7 15,867
Highest 83.7 82.4 84.5 74.1 8.6 15,491
Total 81.1 79.5 81.1 71.0 11.3 77,729

1
Nuclear household comprised of a married couple or a man or a woman living alone or with unmarried children (biological, adopted,
or fostered) with or without unrelated individuals. The remaining households are non-nuclear households.
603
Table 14.7.2 Men's participation in decision making by background characteristics
Percentage of currently married men age 15-49 who usually make specific decisions either by themselves or jointly with
their wife, by background characteristics, India, 2019-21
Percentage of men who usually make specific Percentage Percentage

decisions alone or jointly with their wife who who
participate participate in
Own Making major in both neither of the Number
Background characteristic health care household purchases decisions two decisions of men
Age
15-19 79.3 80.6 69.7 9.9 273
20-24 91.2 90.5 84.9 3.2 2,954
25-29 90.6 90.3 84.3 3.4 8,156
30-39 89.4 91.4 84.3 3.5 23,111
40-49 89.2 91.4 84.2 3.5 20,983
Residence
Urban 90.0 89.8 83.8 4.0 18,458
Rural 89.3 91.8 84.4 3.3 37,017
Schooling
No schooling 88.7 91.2 83.9 4.0 8,124
<5 years complete 89.0 90.1 83.0 4.0 4,808
5-7 years complete 87.9 90.2 82.3 4.2 8,838
8-9 years complete 89.9 91.7 85.1 3.5 10,286
10-11 years complete 89.9 91.5 84.4 3.0 8,817

Employed 89.6 91.2 84.2 3.4 51,041
Employed, for cash 89.7 91.2 84.2 3.3 48,545
Employed, not for cash 87.7 90.4 83.4 5.3 2,496
Not employed 89.0 90.9 84.2 4.3 4,434

0 89.0 89.9 83.2 4.2 9,447
1-2 89.3 90.8 83.5 3.5 31,002
3-4 90.4 92.4 86.1 3.2 12,731
5 or more 90.2 94.3 86.9 2.3 2,295
Nuclear 89.2 91.7 84.5 3.6 25,827
Non-nuclear 89.8 90.7 83.9 3.4 29,648
Religion
Hindu 89.5 91.1 84.0 3.4 44,130
Muslim 90.6 92.0 85.6 3.0 8,583
Christian 85.1 89.5 80.3 5.8 1,359
Sikh 94.8 95.0 91.7 1.9 490
Jain 91.3 89.9 87.9 6.7 151
Other 81.2 80.4 77.6 16.0 173
Continued…
604
Table 14.7.2 Men's participation in decision making by background characteristics—Continued
Percentage of currently married men age 15-49 who usually make specific decisions either by themselves or jointly with
their wife, by background characteristics, India, 2019-21
Percentage of men who usually make specific Percentage Percentage

decisions alone or jointly with their wife who who
participate participate in
Own Making major in both neither of the Number
Background characteristic health care household purchases decisions two decisions of men
Caste/tribe
Scheduled caste 89.6 91.1 84.3 3.6 11,595
Scheduled tribe 90.7 91.9 85.9 3.3 5,271
Other 89.7 90.9 84.5 3.9 15,390
Don't know 94.4 85.0 81.4 1.9 298
Wealth quintile
Lowest 90.1 91.7 85.3 3.5 9,879
Second 88.2 90.9 83.2 4.0 11,100
Middle 89.0 91.4 83.9 3.5 11,834
Fourth 89.1 91.3 84.0 3.5 12,110
Highest 91.5 90.4 84.9 3.0 10,552
Total age 15-49 89.6 91.1 84.2 3.5 55,475
Age 50-54 87.9 91.5 83.2 3.8 8,264
Total age 15-54 89.3 91.2 84.1 3.6 63,739

1
Nuclear households are households comprised of a married couple or a man or a woman living alone or with unmarried children
(biological, adopted, or fostered) with or without unrelated individuals. The remaining households are non-nuclear households.
605
Table 14.8 Women's participation in decision making by state/union territory
Percentage of currently married women age 15-49 who usually make three specific kinds of decisions either by themselves or jointly
with their husband, and percentage of currently married men age 15-49 who say that a wife should have an equal or greater say than
her husband in specific kinds of decisions, by state/union territory, India, 2019-21
Percentage of men who say

that a wife should have an
Percentage of women who usually make decisions equal or greater say alone or
alone or jointly with their husband jointly with her husband in:
Making major Visits to None of All of None of
Own household her family All three the three the five the five
State/union territory health care purchases or relatives decisions decisions decisions1 decisions1
India 81.1 79.5 81.1 71.0 11.3 56.9 4.9
North
Chandigarh 94.6 91.5 93.6 91.5 5.4 82.7 1.8
Delhi 87.1 78.0 83.4 72.1 8.0 75.0 2.1
Haryana 81.7 78.6 80.4 71.9 12.5 80.9 2.4
Jammu & Kashmir 73.8 69.2 75.6 62.5 18.4 53.3 10.7
Ladakh 67.1 64.4 67.2 48.4 19.6 58.5 9.8
Punjab 87.6 84.0 86.5 79.6 8.6 72.0 3.7
Rajasthan 80.8 73.8 78.4 65.8 12.3 58.7 4.0
Uttarakhand 84.7 82.2 85.1 76.1 9.0 81.2 2.9
Central
Chhattisgarh 88.3 85.8 87.8 81.0 7.3 65.6 5.7
Madhya Pradesh 78.6 75.9 77.3 67.5 14.0 60.4 5.0
Uttar Pradesh 81.6 80.8 80.9 73.7 12.5 55.7 8.7
East
Bihar 80.8 78.4 78.2 71.0 13.5 58.6 6.7
Jharkhand 85.7 86.0 85.9 79.8 9.1 71.9 3.8
Odisha 80.1 82.1 81.6 71.2 9.8 58.6 1.5
West Bengal 81.8 80.8 81.4 72.1 11.1 46.8 5.1
Northeast
Assam 86.4 84.1 86.1 77.8 7.9 74.8 2.2
Manipur 87.9 84.0 89.6 77.7 5.2 56.7 1.5
Meghalaya 89.1 87.3 89.8 83.8 7.7 73.4 4.4
Mizoram 93.7 94.3 94.4 87.0 1.2 78.1 2.7
Nagaland 96.8 97.7 98.3 95.2 0.8 78.0 2.4
Sikkim 84.5 85.0 86.7 81.1 10.3 73.5 5.4
Tripura 85.3 85.2 87.2 79.5 9.1 54.6 3.5
West
Daman & Diu 83.8 83.5 81.1 72.2 8.1 46.6 2.1
Goa 87.6 85.5 89.3 80.5 6.9 78.6 0.0
Gujarat 85.6 81.7 86.7 75.0 7.8 67.2 3.3
Maharashtra 82.4 78.2 80.7 69.5 10.2 58.2 5.2
Continued…
606
Table 14.8 Women's participation in decision making by state/union territory—Continued
Percentage of currently married women age 15-49 who usually make three specific kinds of decisions either by themselves or jointly
with their husband, and percentage of currently married men age 15-49 who say that a wife should have an equal or greater say than
her husband in specific kinds of decisions, by state/union territory, India, 2019-21
Percentage of men who say

that a wife should have an
Percentage of women who usually make decisions equal or greater say alone or
alone or jointly with their husband jointly with her husband in:
Making major Visits to None of All of None of
Own household her family All three the three the five the five
State/union territory health care purchases or relatives decisions decisions decisions1 decisions1
South
Andhra Pradesh 70.6 75.5 74.7 61.3 16.0 56.8 5.6
Karnataka 74.4 73.4 74.7 64.5 17.3 29.5 5.1
Kerala 82.8 81.1 84.6 69.3 5.9 71.4 1.3
Lakshadweep 86.7 90.5 91.3 85.8 7.8 46.3 3.1
Puducherry 81.8 87.4 90.9 72.4 2.1 69.3 0.1
Tamil Nadu 81.9 83.4 86.2 72.7 7.2 64.2 1.9
Telangana 68.3 76.4 76.2 57.4 12.8 49.0 4.4
1
Decisions about major household purchases, purchases for daily household needs, visits to the wife's family or relatives, what to do with the money
the wife earns, and how many children to have.
607
Table 14.9 Men's attitudes toward a wife's participation in decision making
Percent distribution of currently married men age 15-49 by person who they think, in a couple, should have a greater
say in five specific decisions, India, 2019-21
Mainly Both Mainly Don't know/

Decision husband equally wife depends Total
URBAN
Major household purchases 28.1 62.4 9.0 0.5 100.0

Purchases of daily household needs 15.9 54.7 29.0 0.4 100.0
Visits to wife's family or relatives 18.5 69.2 11.7 0.6 100.0
What to do with the money wife earns 14.1 66.0 19.3 0.7 100.0
How many children to have 7.7 87.9 3.9 0.5 100.0
RURAL

TOTAL

608
Table 14.10 Men's attitudes toward a wife's participation in decision making by background characteristics
Percentage of currently married men age 15-49 who think a wife should have an equal or greater say than her husband on
five specific kinds of decisions, by background characteristics, India, 2019-21
Percentage of men who think a wife should have an equal or

greater say than her husband on specific decisions
Making
Making purchases What to do How
major for daily Visits to with the many None of
Background household household her family money the children All five the five Number
characteristic purchases needs or relatives wife earns to have decisions decisions of men
Age
15-19 73.3 79.8 73.3 83.2 88.0 57.4 4.4 273
20-24 71.9 78.6 73.4 80.5 88.5 54.9 6.1 2,954
25-29 69.6 78.6 76.3 81.3 90.6 56.2 5.1 8,156
30-39 70.3 79.6 78.2 83.0 90.6 57.2 4.8 23,111
40-49 70.5 79.8 78.4 82.6 90.4 57.1 4.8 20,983
Residence
Urban 71.5 83.7 80.9 85.3 91.8 60.1 4.2 18,458
Rural 69.9 77.4 76.2 81.1 89.7 55.3 5.3 37,017
Schooling
No schooling 66.4 76.3 73.8 78.6 87.1 52.9 6.1 8,124
<5 years complete 68.7 77.7 70.6 78.3 89.0 51.6 5.9 4,808
5-7 years complete 69.7 79.1 75.5 81.1 89.7 53.8 4.5 8,838
8-9 years complete 71.0 78.1 79.0 83.9 89.5 58.3 5.6 10,286
10-11 years complete 71.3 81.1 79.8 83.2 92.0 57.4 4.3 8,817
12 or more years
complete 72.7 82.1 81.5 85.5 92.7 61.5 4.0 14,603
Nuclear 70.8 79.9 78.1 82.5 90.5 57.3 4.6 25,827
Non-nuclear 70.1 79.1 77.4 82.5 90.3 56.6 5.1 29,648
Religion
Hindu 70.2 79.9 78.5 83.0 90.8 57.2 4.6 44,130
Muslim 68.9 75.3 71.9 78.1 87.6 52.3 6.8 8,583
Christian 79.4 85.4 84.0 85.2 92.4 66.9 3.0 1,359
Sikh 81.6 86.9 89.7 91.3 96.2 76.5 2.0 490
Buddhist/Neo-
Buddhist 73.9 83.7 76.7 85.7 91.0 56.7 5.0 588
Jain 62.7 89.1 86.9 95.3 98.3 59.7 1.3 151
Other 87.1 92.2 91.4 89.7 92.6 78.3 1.9 173
Caste/tribe
Scheduled caste 71.2 79.8 76.1 81.9 90.2 56.2 4.9 11,595
Scheduled tribe 72.4 81.1 81.3 84.8 91.1 60.2 3.8 5,271
Other 73.0 80.9 77.9 82.0 89.8 59.4 5.5 15,390
Don't know 72.2 75.1 78.1 80.6 88.2 54.4 4.2 298
Continued…
609
Table 14.10 Men's attitudes toward a wife's participation in decision making by background characteristics—Continued
Percentage of currently married men age 15-49 who think a wife should have an equal or greater say than her husband on
five specific kinds of decisions, by background characteristics, India, 2019-21
Percentage of men who think a wife should have an equal or

greater say than her husband on specific decisions
Making
Making purchases What to do How
major for daily Visits to with the many None of
Background household household her family money the children All five the five Number
characteristic purchases needs or relatives wife earns to have decisions decisions of men
Wealth quintile
Lowest 68.4 75.8 72.1 77.7 87.5 52.5 6.0 9,879
Second 69.9 77.4 74.9 80.8 88.8 54.1 5.4 11,100
Middle 69.3 78.7 77.4 83.1 91.4 55.7 4.4 11,834
Fourth 70.7 81.0 80.5 84.2 91.3 58.5 4.6 12,110
Highest 73.8 84.2 83.2 86.1 92.5 63.4 4.1 10,552
Total age 15-49 70.4 79.5 77.7 82.5 90.4 56.9 4.9 55,475
Age 50-54 68.7 79.0 79.7 83.5 90.0 57.4 5.3 8,264
Total age 15-54 70.2 79.4 78.0 82.6 90.3 57.0 4.9 63,739
1
Nuclear households are households comprised of a married couple or a man or a woman living alone or with unmarried children (biological,
adopted, or fostered) with or without unrelated individuals. The remaining households are non-nuclear households.
610
Table 14.11 Women's access to money and credit
Percentage of women age 15-49 who have access to money, who know of a microcredit programme, and who have ever
taken a loan from a microcredit program; and among women who own a mobile phone, percentage who use it for financial
transactions, by background characteristics, India, 2019-21
Women's access Women's knowledge and use

to money of microcredit programmes
Percentage Percentage Percentage Percentage
who have who have a Percentage who have who use Number
money that bank or savings who have taken a loan mobile of women
they can account that knowledge of from a Number phone for who own
decide how they a microcredit microcredit of financial a mobile
Background characteristic to use themselves use programme programme women transactions phone
Age
15-19 35.0 68.1 42.5 2.1 18,240 21.6 5,827
20-24 47.4 76.1 48.7 6.0 17,809 27.3 10,844
25-29 52.7 79.9 51.8 10.8 17,398 26.1 11,309
30-39 56.5 82.5 54.9 15.6 29,853 20.5 18,391
40-49 58.5 82.3 54.9 16.2 24,714 18.2 11,898
Residence
Urban 56.8 80.9 51.3 9.4 34,839 30.9 24,163
Rural 48.6 77.4 51.2 11.9 73,175 16.6 34,106
Schooling
No schooling 50.5 75.1 47.5 13.8 24,485 9.0 8,417
<5 years complete 51.3 74.7 54.6 17.4 5,715 7.2 2,335
5-7 years complete 49.6 73.8 50.2 14.1 14,547 9.4 6,946
8-9 years complete 46.5 74.5 50.0 10.5 19,237 13.1 9,317
10-11 years complete 48.2 79.9 51.9 9.6 16,278 19.9 9,303
12 or more years
complete 57.7 87.0 55.0 7.0 27,751 38.6 21,950
Marital status
Never married 39.8 72.8 45.2 2.7 25,505 35.1 11,024
Currently married 53.6 79.9 52.9 13.4 77,729 19.7 44,198
Widowed/divorced/
separated/deserted 72.8 87.6 57.6 17.7 4,780 17.6 3,047
Nuclear 50.9 79.4 51.9 12.2 54,024 22.3 28,932
Non-nuclear 51.5 77.7 50.7 10.0 53,990 22.7 29,337
Religion
Hindu 51.9 79.3 52.3 11.7 87,179 23.0 46,907
Muslim 46.8 73.4 45.6 7.9 15,138 16.1 7,769
Christian 47.7 81.7 56.4 14.0 2,495 28.0 1,724
Sikh 55.9 82.4 43.4 7.6 1,908 30.2 1,164
Buddhist/Neo-Buddhist 51.0 76.3 54.5 10.9 652 24.1 361
Jain 65.6 88.4 50.9 3.3 214 60.2 152
Other 51.7 74.8 51.2 9.7 428 25.1 192
Continued…
611
Table 14.11 Women's access to money and credit—Continued
Percentage of women age 15-49 who have access to money, who know of a microcredit programme, and who have ever
taken a loan from a microcredit program; and among women who own a mobile phone, percentage who use it for financial
transactions, by background characteristics, India, 2019-21
Women's access Women's knowledge and use

to money of microcredit programmes
Percentage Percentage Percentage Percentage Percentage
who have who have a who have who have who use Number
money that bank or savings knowledge taken a loan mobile of women
they can account that of a from a Number phone for who own
decide how they microcredit microcredit of financial a mobile
Background characteristic to use themselves use programme programme women transactions phone
Caste/tribe
Scheduled caste 51.2 79.4 52.0 13.0 23,427 18.7 11,304
Scheduled tribe 48.4 75.0 47.1 10.8 9,909 19.3 3,958
Other backward class 49.9 79.7 53.2 11.6 47,251 22.2 25,778
Other 54.6 77.5 49.0 8.7 26,733 26.4 16,951
Don't know 48.3 64.7 40.2 7.5 694 11.1 278
Wealth quintile
Lowest 46.1 71.7 47.7 10.9 19,904 8.9 6,486
Second 47.3 76.6 49.9 12.7 22,049 11.3 9,180
Middle 49.5 79.4 53.2 13.2 22,252 16.3 11,369
Fourth 51.5 80.4 53.4 11.2 22,376 22.5 14,252
Highest 61.5 84.3 51.7 7.3 21,432 37.9 16,981
Total 51.2 78.6 51.3 11.1 108,014 22.5 58,269

1
612
Table 14.12 Women's access to money and credit and freedom of movement by state/union territory
Percentage of women age 15-49 who have access to money, who know of a microcredit programme, and have taken a
loan from a microcredit programme, and who are allowed to go to three specified places alone; among women who own
a mobile phone, percentage who use it for financial transactions, by state/union territory, India, 2019-21
Women's knowledge and use

Women's access to money of microcredit programmes
Percentage Percentage who Percentage Percentage Percentage Percentage
who have have a bank or who have who have taken allowed to who use
money that savings account knowledge of a loan from a go to three mobile phone
they can decide that they a microcredit microcredit specified for financial
State/union territory how to use themselves use programme programme places alone1 transactions
India 51.2 78.6 51.3 11.1 42.3 22.5
North
Chandigarh 54.0 87.1 23.6 0.7 72.1 33.6
Delhi 56.6 72.5 34.2 6.1 48.8 36.5
Haryana 57.2 73.6 33.9 4.8 49.0 30.5
Jammu & Kashmir 51.7 84.9 20.6 3.5 47.3 28.1
Ladakh 58.0 88.4 18.5 2.9 47.0 27.2
Punjab 57.2 81.6 41.9 7.2 61.2 30.1
Rajasthan 53.1 79.6 42.8 4.1 36.4 20.1
Uttarakhand 48.6 80.2 50.0 7.6 55.7 18.7
Central
Chhattisgarh 57.8 80.3 46.7 6.2 45.5 24.3
Madhya Pradesh 49.4 74.7 47.9 7.9 36.2 23.3
Uttar Pradesh 54.5 75.4 38.0 4.5 34.7 18.0
East
Bihar 48.5 76.7 59.4 14.3 43.2 10.4
Jharkhand 51.9 79.6 61.0 13.5 48.3 20.0
Odisha 45.4 86.5 74.4 25.3 30.1 17.3
West Bengal 60.6 76.5 52.0 12.7 58.3 12.8
Northeast
Assam 28.7 78.5 62.5 13.6 34.3 19.2
Manipur 40.0 74.0 49.8 8.2 31.2 10.7
Meghalaya 49.0 70.4 21.2 6.3 36.1 15.8
Mizoram 32.7 80.7 13.8 2.1 75.4 17.2
Nagaland 40.3 63.7 23.4 2.5 32.6 19.7
Sikkim 67.6 76.4 32.9 9.1 66.2 35.1
Tripura 55.2 76.9 59.2 21.3 53.5 6.9
West
and Daman & Diu 76.6 83.6 35.0 2.4 74.2 22.6
Goa 63.9 88.3 75.2 9.9 23.8 48.0
Gujarat 57.6 70.0 43.2 3.9 56.2 21.7
Maharashtra 54.4 72.8 51.6 8.3 48.8 29.8
Continued…
613
Table 14.12 Women's access to money and credit and freedom of movement by state/union territory—Continued
Percentage of women age 15-49 who have access to money, who know of a microcredit programme, and have taken a
loan from a microcredit programme, and who are allowed to go to three specified places alone; among women who own
a mobile phone, percentage who use it for financial transactions, by state/union territory, India, 2019-21
Women's knowledge and use

Women's access to money of microcredit programmes
Percentage Percentage who Percentage Percentage Percentage Percentage
who have have a bank or who have who have taken allowed to who use
money that savings account knowledge of a loan from a go to three mobile phone
they can decide that they a microcredit microcredit specified for financial
State/union territory how to use themselves use programme programme places alone1 transactions
South
Andaman & Nicobar
Islands 74.7 89.2 30.9 3.6 61.6 13.6
Andhra Pradesh 29.4 81.8 61.4 29.7 42.5 21.4
Karnataka 58.6 88.7 56.9 17.3 31.6 43.0
Kerala 53.4 78.5 57.5 9.8 15.0 22.6
Lakshadweep 40.3 66.9 45.2 1.4 2.4 14.9
Puducherry 49.8 92.6 79.5 10.8 35.9 34.2
Tamil Nadu 42.6 92.2 73.8 18.2 39.7 26.9
Telangana 31.8 84.4 62.0 24.1 39.7 21.1
1
To the market, health facility, and places outside the village/community
614
Table 14.13 Women's freedom of movement by background characteristics
Percentage of women age 15-49 who are allowed to go alone to specific places, and who are not allowed
to go at all (alone or with someone else) to all of the specific places, by background characteristics, India,
2019-21
Percentage
Percentage allowed to go alone to: not allowed
Places outside to go to any
The The health the village/ All three of the three Number of
Background characteristic market facility community places places at all women
Age
15-19 40.4 33.8 35.2 26.1 7.5 18,240
20-24 46.8 42.6 41.2 33.8 5.9 17,809
25-29 53.5 49.4 47.1 39.8 4.6 17,398
30-39 63.4 59.0 56.1 48.4 3.6 29,853
40-49 68.5 63.9 62.1 54.5 3.0 24,714
Residence
Urban 65.3 59.2 54.2 48.6 3.3 34,839
Rural 52.1 48.0 48.0 39.2 5.3 73,175
Schooling
No schooling 59.1 54.2 54.0 45.6 4.5 24,485
<5 years complete 60.0 55.4 54.8 45.9 5.0 5,715
5-7 years complete 54.5 50.4 48.5 40.7 4.9 14,547
8-9 years complete 49.7 45.5 44.9 36.4 5.4 19,237
10-11 years complete 52.4 46.8 44.7 37.1 5.1 16,278
12 or more years
complete 61.1 56.3 53.1 46.3 3.9 27,751
Marital status
Never married 48.5 41.4 42.1 33.1 5.8 25,505
Widowed/divorced/

0 47.7 41.3 41.5 33.3 6.1 33,396
1-2 59.5 55.4 52.7 45.2 4.4 47,310
3-4 61.4 57.5 55.4 47.8 3.5 22,743
5 or more 62.6 58.3 58.3 49.5 3.0 4,565
Nuclear 59.9 54.6 52.9 44.8 4.1 54,024
Non-nuclear 52.9 48.6 47.1 39.7 5.2 53,990
Religion
Hindu 57.6 52.7 51.0 43.3 4.5 87,179
Muslim 46.3 43.1 42.1 33.8 6.2 15,138
Christian 60.6 51.1 49.6 39.0 3.1 2,495
Sikh 67.7 64.3 63.9 59.3 3.3 1,908
Jain 70.0 62.7 58.6 54.1 1.4 214
Other 65.9 59.9 63.5 53.0 2.4 428
Continued…
615
Table 14.13 Women's freedom of movement by background characteristics—Continued
Percentage of women age 15-49 who are allowed to go alone to specific places, and who are not allowed
to go at all (alone or with someone else) to all of the specific places, by background characteristics, India,
2019-21
Percentage
Percentage allowed to go alone to: not allowed
Places outside to go to any
The The health the village/ All three of the three Number of
Background characteristic market facility community places places at all women
Caste/tribe
Scheduled caste 57.6 53.0 51.9 44.1 4.7 23,427
Scheduled tribe 56.3 50.6 50.5 41.9 4.7 9,909
Other 60.8 56.2 54.8 46.9 4.4 26,733
Don't know 55.9 53.4 46.4 39.9 7.6 694
Wealth quintile
Lowest 51.3 47.9 49.8 39.6 5.7 19,904
Second 52.5 48.6 48.8 39.8 5.5 22,049
Middle 54.6 49.9 47.4 39.9 4.9 22,252
Fourth 57.4 51.8 49.0 42.0 4.3 22,376
Highest 65.8 59.7 55.4 49.9 3.1 21,432
Total 56.4 51.6 50.0 42.3 4.7 108,014

1
Nuclear households are households comprised of a married couple or a man or a woman living alone or with unmarried
children (biological, adopted, or fostered) with or without unrelated individuals. The remaining households are non-
nuclear households.
616
Table 14.14.1 Attitudes toward wife beating: Women
Percentage of women age 15-49 who agree that a husband is justified in hitting or beating his wife for specific reasons, by background characteristics, India, 2019-21
Percentage who agree that a husband is justified in hitting or beating his wife if:
She refuses to Percentage
She goes She neglects have sexual He She shows who agree with
out without the house or She argues intercourse She doesn't suspects she disrespect at least one Number of
Background characteristic telling him children with him with him cook properly is unfaithful for in-laws specified reason women
Age
15-19 16.9 25.0 19.9 9.7 12.7 17.6 28.9 41.8 18,240
20-24 17.7 25.1 19.9 9.4 12.2 18.6 29.5 43.0 17,809
25-29 18.6 26.3 21.1 10.9 13.2 18.8 30.7 43.7 17,398
30-39 19.9 29.0 23.1 11.5 13.8 20.7 32.8 47.3 29,853
40-49 21.5 30.5 24.2 12.6 15.8 22.2 34.9 48.8 24,714
Residence
Urban 15.8 24.9 17.3 8.7 10.3 17.4 28.1 40.6 34,839
617
Rural 20.8 28.8 24.2 12.0 15.3 21.0 33.5 47.7 73,175
Schooling
No schooling 23.0 30.3 27.0 14.7 17.7 23.0 36.2 50.5 24,485
<5 years complete 23.1 33.5 30.0 14.8 18.0 25.6 37.0 52.9 5,715
5-7 years complete 21.5 30.6 25.2 12.2 15.6 22.0 34.4 48.9 14,547
8-9 years complete 19.1 25.8 21.9 10.4 13.5 19.3 30.1 44.3 19,237
10-11 years complete 18.7 28.8 20.2 10.2 12.7 19.6 32.3 45.7 16,278
Marital status
Never married 15.7 23.4 17.8 8.8 11.5 16.4 27.2 39.7 25,505
Widowed/divorced/
separated/deserted 24.3 34.3 26.2 14.4 16.1 24.1 37.0 51.9 4,780
Nuclear 19.7 29.0 22.3 11.0 13.7 20.3 32.7 46.7 54,024
Non-nuclear 18.7 26.2 21.6 10.9 13.7 19.5 30.8 44.2 53,990
Continued…
Table 14.14.1 Attitudes toward wife beating: Women—Continued
Percentage of women age 15-49 who agree that a husband is justified in hitting or beating his wife for specific reasons, by background characteristics, India, 2019-21
She refuses to Percentage
She goes She neglects have sexual He She shows who agree with
out without the house or She argues intercourse She doesn't suspects she disrespect at least one Number of
Background characteristic telling him children with him with him cook properly is unfaithful for in-laws specified reason women
Religion
Hindu 19.1 27.8 21.6 10.8 13.7 19.7 31.9 45.7 87,179
Muslim 20.2 26.9 25.6 12.9 14.7 21.8 32.4 46.1 15,138
Christian 21.6 37.6 22.7 10.7 12.5 23.2 37.8 52.6 2,495
Sikh 12.6 12.5 12.1 6.9 7.3 10.2 12.9 22.7 1,908
Jain 14.3 26.6 15.0 4.8 5.1 12.7 19.9 30.8 214
Other 7.4 12.1 9.6 5.0 6.9 11.8 17.5 27.8 428
618
Caste/tribe
Scheduled caste 21.0 29.9 24.0 12.2 14.9 21.6 34.1 48.6 23,427
Scheduled tribe 18.0 24.8 21.9 11.7 14.4 19.8 31.5 44.3 9,909
Other 15.0 21.6 18.9 9.6 10.8 17.2 25.5 37.6 26,733
Don't know 20.8 31.7 27.8 14.1 16.5 25.7 38.1 49.7 694
Wealth quintile
Lowest 21.7 27.2 27.3 14.2 17.6 22.0 32.8 47.5 19,904
Second 20.8 28.3 25.2 12.2 15.6 20.7 33.6 47.6 22,049
Middle 21.5 32.2 23.7 11.8 14.5 22.3 35.7 50.4 22,252
Fourth 18.8 29.4 20.1 10.1 12.5 19.8 32.5 46.6 22,376
Highest 13.1 20.5 13.9 6.8 8.6 14.6 23.9 34.9 21,432
Total 19.2 27.6 22.0 11.0 13.7 19.9 31.7 45.4 108,014
1
Nuclear households are households comprised of a married couple or a man or a woman living alone or with unmarried children (biological, adopted, or fostered) with or without unrelated
individuals. The remaining households are non-nuclear households.
Table 14.14.2 Attitudes toward wife beating: Men
Percentage of men age 15-49 who agree that a husband is justified in hitting or beating his wife for specific reasons, by background characteristics,
India, 2019-21
She refuses to She He Percentage
She goes She neglects have sexual doesn't suspects She shows who agree with
Background out without the house or She argues intercourse cook she is disrespect at least one Number
characteristic telling him children with him with him properly unfaithful for in-laws specified reason of men
Age
15-19 16.0 22.4 21.8 10.5 11.4 23.4 33.6 45.9 16,385
20-24 14.2 21.6 20.5 10.0 10.2 23.2 32.0 44.5 14,384
25-29 14.2 21.7 20.0 9.7 9.7 22.6 31.1 43.7 14,195
30-39 14.9 21.7 19.4 9.5 9.8 22.7 30.7 43.8 26,137
40-49 14.7 21.9 19.8 9.2 10.0 23.3 30.4 43.6 22,043
Residence
619
Urban 13.1 19.0 16.6 8.0 8.3 20.9 29.8 40.5 32,852
Rural 15.7 23.4 22.1 10.6 11.2 24.2 32.3 46.2 60,291
Schooling
No schooling 18.9 26.9 25.4 13.2 12.8 26.8 34.1 49.7 9,982
<5 years complete 18.3 25.0 25.8 12.6 13.0 25.7 34.7 51.4 5,842
5-7 years complete 15.9 23.7 23.5 11.6 11.1 25.4 32.7 46.6 12,082
8-9 years complete 15.2 20.5 20.7 9.2 10.0 22.4 30.8 43.7 18,472
10-11 years complete 15.6 23.4 20.0 9.3 10.6 24.4 34.0 46.4 16,735
12 or more years
complete 11.7 18.8 15.8 7.8 8.2 19.9 28.3 39.1 30,032
Marital status
Never married 14.9 22.2 20.4 10.4 10.5 23.3 33.3 45.3 36,503
Widowed/divorced/
Continued…
Table 14.14.2 Attitudes toward wife beating: Men—Continued
India, 2019-21
Nuclear 14.9 22.7 20.5 9.9 10.2 23.4 32.0 45.1 46,703
Non-nuclear 14.8 21.0 19.9 9.5 10.1 22.7 30.8 43.4 46,441
Religion
Hindu 14.5 21.7 19.8 9.6 10.3 22.4 31.2 43.6 73,632
Muslim 17.1 22.8 22.9 11.0 10.0 26.4 33.1 47.7 14,633
Christian 15.8 31.3 22.5 10.0 9.5 32.3 34.5 52.9 2,426
620
Sikh 12.5 11.1 12.6 6.9 7.1 14.3 20.1 29.0 886
Buddhist/Neo-
Buddhist 10.0 15.0 12.5 5.9 10.7 16.3 30.5 41.7 1,017
Jain 2.4 13.5 15.9 1.2 1.7 5.7 18.6 24.4 280
Other 7.3 11.6 9.5 5.0 4.1 12.4 18.6 27.3 269
Caste/tribe
Scheduled caste 16.1 22.3 21.1 9.6 10.5 22.7 31.7 44.4 18,977
Scheduled tribe 13.5 21.9 20.6 10.8 10.1 21.6 29.8 43.4 8,441
Other 13.5 18.3 18.8 9.3 8.8 21.0 27.4 40.4 26,244
Don't know 13.3 22.7 20.4 10.4 10.2 20.9 24.2 43.9 496
Continued…
Table 14.14.2 Attitudes toward wife beating: Men—Continued
India, 2019-21
Wealth quintile
Lowest 16.9 21.3 24.8 12.1 11.6 23.9 30.9 46.3 15,606
Second 15.6 22.5 22.9 10.2 11.3 24.6 32.5 46.2 18,497
Middle 16.2 25.4 21.3 10.7 11.3 24.3 34.3 47.4 19,829
Fourth 15.1 23.2 18.8 9.3 10.2 24.2 33.6 45.7 20,658
Highest 10.6 16.5 13.8 6.7 6.5 18.1 25.2 35.3 18,553
Total age 15-49 14.8 21.9 20.2 9.7 10.2 23.0 31.4 44.2 93,144
621
Age 50-54 14.6 22.5 19.4 10.4 10.1 24.4 31.0 44.3 8,695
Total age 15-54 14.8 21.9 20.1 9.8 10.1 23.1 31.4 44.2 101,839
1
Nuclear households are households comprised of a married couple or a man or a woman living alone or with unmarried children (biological, adopted, or fostered) with
or without unrelated individuals. The remaining households are non-nuclear households.
Table 14.15 Attitudes toward wife beating by state/union territory
Percentage of women age 15-49 who agree that a husband is justified in hitting or beating his wife for specific reasons and percentage of women
and men who agree with at least one specified reason, by state/union territory, India, 2019-21
Women Men
Refuses to Percentage Percentage who
Goes out Neglects have sexual Doesn't He suspects She shows who agree with agree with at
without the house Argues intercourse cook she is disrespect at least one least one
State/union territory telling him or children with him with him properly unfaithful for in-laws specified reason specified reason
India 19.2 27.6 22.0 11.0 13.7 19.9 31.7 45.4 44.2
North
Chandigarh 5.4 7.7 4.8 2.2 2.5 7.5 6.6 13.5 8.9
Delhi 5.7 7.6 8.4 3.7 4.8 7.1 11.2 17.5 18.2
Haryana 12.9 15.7 14.7 8.1 10.8 13.6 22.1 29.8 21.1
Jammu & Kashmir 28.5 30.1 27.9 16.0 12.0 26.0 35.0 49.3 45.3
622
Ladakh 25.5 29.5 25.4 16.2 9.8 25.6 39.1 57.4 69.7
Punjab 12.1 12.4 13.4 6.3 6.9 10.1 12.6 22.8 30.5
Rajasthan 12.4 14.7 17.6 7.9 10.0 13.1 25.9 34.6 30.5
Uttarakhand 7.6 12.3 11.2 8.1 7.6 9.0 12.7 22.2 12.4
Central
Chhattisgarh 9.6 13.4 13.5 6.6 6.7 9.2 18.7 27.3 37.5
Madhya Pradesh 15.3 17.0 17.4 10.2 13.0 16.4 23.2 34.4 28.3
Uttar Pradesh 19.4 21.4 23.1 10.8 15.8 17.6 28.0 43.6 38.2
East
Bihar 16.9 19.3 21.3 10.3 14.9 16.7 23.3 37.3 33.9
Jharkhand 11.0 10.6 11.8 6.2 8.6 11.5 17.3 27.0 25.4
Odisha 18.1 25.9 24.0 8.6 13.7 16.3 40.7 48.7 32.3
West Bengal 16.6 25.2 26.6 13.2 10.6 21.4 28.7 41.6 47.7
Continued…
Table 14.15 Attitudes toward wife beating by state/union territory—Continued
Percentage of women age 15-49 who agree that a husband is justified in hitting or beating his wife for specific reasons and percentage of women
and men who agree with at least one specified reason, by state/union territory, India, 2019-21
Women Men
Refuses to Percentage Percentage who
Goes out Neglects have sexual Doesn't He suspects She shows who agree with agree with at
without the house Argues intercourse cook she is disrespect at least one least one
State/union territory telling him or children with him with him properly unfaithful for in-laws specified reason specified reason
Northeast
Assam 10.0 14.7 14.7 7.1 8.5 13.7 20.5 32.1 36.4
Manipur 24.9 40.5 17.5 7.1 18.8 17.3 52.8 65.9 56.8
Meghalaya 12.4 20.1 11.6 7.0 5.9 16.6 15.1 31.9 31.8
Mizoram 11.0 16.1 9.4 5.1 5.2 20.8 19.2 32.9 43.7
Nagaland 7.7 14.8 7.4 3.2 7.0 7.8 16.8 23.9 34.4
Sikkim 13.0 18.6 11.2 7.3 11.5 10.7 17.9 32.3 33.0
Tripura 10.6 17.1 18.6 10.0 6.5 17.4 17.6 29.5 21.3
623
West
Dadra & Nagar
Haveli and Daman
& Diu 3.7 3.7 1.8 3.0 5.7 2.3 3.8 9.2 19.3
Goa 8.8 20.1 5.3 2.5 5.7 15.5 29.7 34.5 35.2
Gujarat 10.3 15.6 12.9 7.6 13.0 14.9 19.2 30.4 28.3
Maharashtra 16.2 25.4 19.3 11.9 16.0 21.9 29.7 44.2 35.9
South
Andaman &
Nicobar Islands 2.8 9.9 3.8 1.4 2.3 3.7 6.4 14.4 11.3
Andhra Pradesh 33.1 68.8 33.9 16.0 14.0 31.8 62.5 83.6 66.5
Karnataka 34.9 52.0 36.1 22.9 26.5 44.7 58.9 76.9 81.9
Kerala 21.5 32.7 22.0 12.0 12.1 26.8 37.6 52.4 62.7
Lakshadweep 9.5 21.3 11.4 6.9 7.5 26.7 27.2 38.3 55.9
Puducherry 24.8 62.6 21.9 7.4 12.8 19.7 44.1 70.9 51.5
Tamil Nadu 42.0 66.0 33.6 10.7 17.8 29.2 56.3 78.3 56.2
Telangana 31.2 69.0 29.3 16.9 15.0 26.8 67.6 83.8 70.4
Table 14.16.1 Attitudes toward refusing sexual intercourse with husband: Women
Percentage of women age 15-49 who believe that a wife is justified in refusing to have sexual intercourse with her husband
in specific circumstances, by background characteristics, India, 2019-21
Percentage who agree that a wife is justified in

refusing to have sex with her husband when she:
Knows her
husband has Knows Percentage Percentage
a sexually her husband who agree who agree with
transmitted has sex with Is tired or not with all three none of the Number of
Background characteristic disease other women in the mood reasons three reasons women
Age
15-19 80.4 81.3 79.2 72.9 13.8 18,240
20-24 87.9 88.3 87.3 81.4 7.1 17,809
25-29 89.3 89.6 88.3 83.1 6.3 17,398
30-39 89.1 88.8 87.9 82.0 6.0 29,853
40-49 88.1 87.8 86.3 80.2 6.9 24,714
Residence
Urban 88.8 88.6 87.6 82.3 6.9 34,839
Rural 86.5 86.8 85.3 79.1 8.1 73,175
Schooling
No schooling 86.7 86.5 84.3 77.9 7.9 24,485
<5 years complete 85.0 84.8 83.8 76.3 9.0 5,715
5-7 years complete 86.7 86.7 85.4 78.9 7.7 14,547
8-9 years complete 86.0 86.7 85.1 79.3 8.9 19,237
10-11 years complete 86.4 86.4 85.2 79.1 8.4 16,278
12 or more years
complete 89.9 90.1 89.5 84.7 6.2 27,751
Marital status
Never married 82.1 82.9 81.1 75.3 12.6 25,505
Widowed/divorced/
Nuclear 87.1 87.1 85.5 79.6 7.9 54,024
Non-nuclear 87.4 87.6 86.6 80.6 7.6 53,990
Religion
Hindu 87.9 88.0 86.9 81.1 7.3 87,179
Muslim 83.4 83.6 80.9 74.1 10.4 15,138
Christian 85.4 85.4 84.5 77.5 9.0 2,495
Sikh 88.5 90.0 87.3 83.3 7.4 1,908
Jain 94.2 97.2 96.9 92.9 1.7 214
Other 85.1 86.7 85.5 80.7 10.4 428
Caste/tribe
Scheduled caste 87.3 87.3 86.0 80.1 7.8 23,427
Scheduled tribe 86.1 86.5 84.2 78.4 8.7 9,909
Other 86.8 87.0 85.7 79.8 8.1 26,733
Don't know 76.7 78.3 73.9 67.7 16.4 694
Continued…
624
Table 14.16.1 Attitudes toward refusing sexual intercourse with husband: Women—Continued
in specific circumstances, by background characteristics, India, 2019-21

Knows her
transmitted has sex with Is tired or not with all three none of the Number of
Background characteristic disease other women in the mood reasons three reasons women
Wealth quintile
Lowest 84.5 84.8 82.5 76.0 9.5 19,904
Second 85.8 85.9 84.5 78.3 8.8 22,049
Middle 86.8 86.9 85.7 79.0 7.7 22,252
Fourth 87.8 88.3 87.2 81.4 7.3 22,376
Highest 91.2 90.9 90.0 85.7 5.5 21,432
Total 87.2 87.4 86.0 80.1 7.8 108,014

1
625
Table 14.16.2 Attitudes toward refusing sexual intercourse with husband: Men
Percentage of men age 15-49 who believe that a wife is justified in refusing to have sexual intercourse with her husband in
specific circumstances, by background characteristics, India, 2019-21

Knows her
transmitted has sex with Is tired or not with all three none of the Number
Background characteristic disease other women in the mood reasons three reasons of men
Age
15-19 78.6 72.8 70.8 61.2 14.6 16,385
20-24 83.7 77.3 76.2 66.8 10.2 14,384
25-29 83.7 77.6 75.9 66.3 9.5 14,195
30-39 85.1 78.6 76.1 66.8 8.8 26,137
40-49 84.3 78.2 75.8 66.1 9.2 22,043
Residence
Urban 84.5 78.4 75.6 67.0 9.5 32,852
Rural 82.7 76.5 74.8 64.8 10.6 60,291
Schooling
No schooling 78.2 72.4 70.1 58.8 13.4 9,982
<5 years complete 80.6 74.2 72.4 60.1 10.4 5,842
5-7 years complete 82.3 76.5 74.4 65.0 11.0 12,082
8-9 years complete 83.0 76.9 75.3 66.0 10.6 18,472
10-11 years complete 83.6 77.0 74.7 64.7 10.0 16,735
Marital status
Never married 81.3 75.2 73.2 64.1 12.3 36,503
Widowed/divorced/
Nuclear 82.9 76.9 74.4 65.0 10.6 46,703
Non-nuclear 83.7 77.4 75.9 66.2 9.9 46,441
Religion
Hindu 83.6 77.3 75.0 65.5 10.1 73,632
Muslim 82.4 75.9 74.4 64.8 10.8 14,633
Christian 80.8 76.3 73.9 64.7 12.7 2,426
Sikh 88.2 85.3 85.4 77.1 6.1 886
Jain 91.4 91.0 88.5 82.5 4.7 280
Other 87.2 77.2 83.8 72.3 8.3 269
Caste/tribe
Scheduled caste 83.4 77.0 75.0 64.9 10.0 18,977
Scheduled tribe 82.6 77.0 74.8 65.3 11.2 8,441
Other 83.3 78.0 76.5 67.7 10.4 26,244
Don't know 72.3 61.6 66.0 53.0 21.6 496
Continued…
626
Table 14.16.2 Attitudes toward refusing sexual intercourse with husband: Men—Continued
Percentage of men age 15-49 who believe that a wife is justified in refusing to have sexual intercourse with her husband in
specific circumstances, by background characteristics, India, 2019-21

Knows her
transmitted has sex with Is tired or not with all three none of the Number
Background characteristic disease other women in the mood reasons three reasons of men
Wealth quintile
Lowest 80.0 73.7 73.5 61.8 12.0 15,606
Second 82.5 76.0 74.1 64.0 10.7 18,497
Middle 83.5 76.9 74.3 64.5 10.1 19,829
Fourth 84.7 78.3 75.7 67.2 9.5 20,658
Highest 85.3 80.1 77.7 69.6 9.2 18,553
Total age 15-49 83.3 77.1 75.1 65.6 10.2 93,144
Age 50-54 83.1 77.4 74.3 64.5 9.8 8,695
Total age 15-54 83.3 77.1 75.0 65.5 10.2 101,839

1
627
Table 14.17 Attitudes toward refusing sexual intercourse with husband by state/union territory
in specific circumstances, and percentage of women and men age 15-49 who agree with all specified reasons and none of
the specified reasons, by state/union territory, India, 2019-21
Women Men
Knows her Knows her Percentage Percentage
husband has husband has Percentage who agree Percentage who agree
a sexually sex with Is tired or who agree with none of who agree with none of
transmitted other not in the with all three the three with all three the three
State/union territory disease women mood reasons reasons reasons reasons
India 87.2 87.4 86.0 80.1 7.8 65.6 10.2
North
Chandigarh 89.5 93.0 90.1 85.8 6.3 82.5 4.2
Delhi 95.8 96.2 95.6 94.1 2.8 85.2 3.4
Haryana 91.2 91.2 89.7 86.4 6.1 77.8 6.4
Jammu & Kashmir 79.1 84.6 65.5 60.3 10.7 60.8 16.3
Ladakh 81.2 85.1 64.5 59.3 8.1 42.7 13.4
Punjab 88.9 90.5 88.0 84.4 7.4 74.4 6.2
Rajasthan 91.6 91.4 88.3 84.2 4.9 78.3 3.8
Uttarakhand 94.4 94.5 93.4 89.8 2.9 80.4 5.1
Central
Chhattisgarh 92.7 91.9 90.5 87.6 5.3 67.4 7.7
Madhya Pradesh 89.7 89.9 88.3 83.5 6.0 69.0 9.7
Uttar Pradesh 88.7 89.4 88.2 83.8 7.3 67.5 10.5
East
Bihar 87.3 88.1 86.1 79.7 7.2 65.8 8.5
Jharkhand 91.3 92.2 90.2 88.1 6.5 73.7 5.0
Odisha 88.5 88.1 88.3 82.9 6.6 69.8 13.6
West Bengal 75.0 75.4 76.4 64.9 15.0 57.6 11.0
Northeast
Assam 85.8 86.5 80.8 76.6 10.1 69.7 10.9
Manipur 81.0 87.0 82.3 72.2 8.5 69.7 7.3
Meghalaya 77.1 80.4 75.9 67.6 14.4 38.9 39.0
Mizoram 85.0 88.7 82.7 73.2 6.0 69.5 6.5
Nagaland 89.5 89.8 84.5 79.9 5.9 61.2 15.3
Sikkim 82.6 84.2 85.8 78.4 10.0 46.0 28.6
Tripura 84.7 87.0 84.9 76.3 7.5 73.3 5.0
West
and Daman & Diu 83.9 85.2 81.7 79.6 14.1 70.9 13.7
Goa 90.9 94.1 90.8 89.8 4.6 93.1 1.3
Gujarat 86.3 85.3 88.0 77.9 7.2 68.8 15.3
Maharashtra 91.3 91.0 89.5 85.8 5.9 75.6 8.0
Continued…
628
Table 14.17 Attitudes toward refusing sexual intercourse with husband by state/union territory—Continued
in specific circumstances, and percentage of women and men age 15-49 who agree with all specified reasons and none of
the specified reasons, by state/union territory, India, 2019-21
Women Men
Knows her Knows her Percentage Percentage
husband has husband has Percentage who agree Percentage who agree
a sexually sex with Is tired or who agree with none of who agree with none of
transmitted other not in the with all three the three with all three the three
State/union territory disease women mood reasons reasons reasons reasons
South
Andaman & Nicobar
Islands 89.6 90.4 90.1 88.5 8.6 80.9 12.5
Andhra Pradesh 83.2 82.3 80.9 73.0 10.1 53.3 13.0
Karnataka 85.8 84.2 83.4 75.4 8.3 48.2 8.9
Kerala 80.2 84.4 81.7 71.6 8.8 74.8 10.7
Lakshadweep 85.6 90.9 88.1 81.2 7.5 89.9 1.7
Puducherry 81.4 80.7 83.3 78.0 14.9 76.8 8.5
Tamil Nadu 88.3 87.4 86.5 81.3 7.9 71.3 6.7
Telangana 86.5 82.7 82.7 73.8 8.3 50.1 17.0
629
Table 14.18 Men's attitudes toward a husband's rights when his wife refuses to have sexual intercourse
Percentage of men age 15-49 who think that a husband has the right to certain behaviours when his wife refuses to have
sex with him when he wants her to, by background characteristics, India, 2019-21
Percentage who agree that when a wife refuses to

have sex with her husband, he has the right to: Percentage
Get angry Refuse to Have sex Percentage who agree
and give her Use with who agree with none
Background reprimand financial force to another with all four of the four Number
characteristic her support have sex woman behaviours behaviours of men
Age
15-19 17.5 11.8 11.2 11.6 4.9 74.6 16,385
20-24 18.8 13.0 11.6 13.0 5.5 72.6 14,384
25-29 19.2 13.5 13.1 12.8 6.0 71.6 14,195
30-39 19.4 13.5 12.5 12.9 5.6 71.6 26,137
40-49 20.5 13.0 12.4 12.4 5.4 71.2 22,043
Residence
Urban 18.1 11.9 11.6 12.2 4.8 73.0 32,852
Rural 19.9 13.6 12.6 12.8 5.8 71.7 60,291
Schooling
No schooling 20.4 14.1 13.6 13.2 5.2 69.4 9,982
<5 years complete 22.5 14.8 15.2 12.9 5.8 67.5 5,842
5-7 years complete 20.7 14.2 12.9 12.5 5.4 70.4 12,082
8-9 years complete 18.4 12.8 11.4 12.3 5.5 73.8 18,472
10-11 years complete 18.8 12.3 12.1 12.5 5.1 72.2 16,735
12 or more years
complete 18.4 12.4 11.5 12.5 5.8 73.6 30,032
Marital status
Never married 18.3 12.7 11.9 12.6 5.3 73.1 36,503
Currently married 19.8 13.3 12.5 12.5 5.6 71.5 55,475
Widowed/divorced/
separated/deserted 18.1 10.4 11.8 13.5 4.3 73.9 1,165
Nuclear 19.5 12.9 12.2 12.2 5.3 71.9 46,703
Non-nuclear 19.0 13.1 12.2 12.9 5.6 72.4 46,441
Religion
Hindu 18.6 12.6 11.6 12.1 5.2 73.0 73,632
Muslim 20.4 13.6 13.8 12.3 5.2 69.9 14,633
Christian 17.7 10.3 10.5 13.6 4.5 72.6 2,426
Sikh 55.8 48.2 54.3 56.9 40.7 34.7 886
Jain 6.8 4.5 3.5 4.1 1.5 90.9 280
Other 29.6 13.5 4.5 4.6 1.7 68.0 269
Caste/tribe
Scheduled caste 20.6 14.0 12.7 13.3 6.1 70.8 18,977
Scheduled tribe 18.1 12.5 10.7 11.9 4.9 74.4 8,441
Other 19.8 13.9 12.3 12.0 5.9 72.6 26,244
Don't know 15.9 9.9 11.4 7.9 4.9 77.0 496
Continued…
630
Table 14.18 Men's attitudes toward a husband's rights when his wife refuses to have sexual intercourse—Continued
Percentage of men age 15-49 who think that a husband has the right to certain behaviours when his wife refuses to have
sex with him when he wants her to, by background characteristics, India, 2019-21
Percentage who agree that when a wife refuses to

have sex with her husband, he has the right to: Percentage
Get angry Refuse to Have sex Percentage who agree
and give her Use with who agree with none
Background reprimand financial force to another with all four of the four Number
characteristic her support have sex woman behaviours behaviours of men
Wealth quintile
Lowest 20.0 14.4 12.4 11.4 5.2 71.1 15,606
Second 20.4 13.5 12.3 12.5 5.7 71.8 18,497
Middle 19.4 12.2 12.0 12.9 5.2 71.9 19,829
Fourth 17.8 12.6 11.9 13.0 4.6 72.1 20,658
Highest 18.9 12.6 12.6 12.7 6.7 73.8 18,553
Total age 15-49 19.2 13.0 12.2 12.6 5.5 72.2 93,144
Age 50-54 19.5 13.1 12.2 13.0 5.2 72.4 8,695
Total age 15-54 19.3 13.0 12.2 12.6 5.5 72.2 101,839
1
631
Table 14.19 Men's attitudes toward a husband's rights when his wife refuses to have sexual intercourse by state/union territory
Percentage of men age 15-49 who think that a husband has the right to certain behaviours when a woman refuses to have sex
with him when he wants her to, by state/union territory, India, 2019-21
Percentage who agree that when a wife refuses to have sex with Percentage
her husband, he has the right to: Percentage who agree
Refuse to give Have sex who agree with none
Get angry and her financial Use force to with another with all four of the four
State/union territory reprimand her support have sex woman behaviours behaviours
India 19.2 13.0 12.2 12.6 5.5 72.2
North
Chandigarh 68.5 54.8 61.1 67.1 50.2 28.1
Delhi 8.6 4.0 3.3 4.6 1.2 87.7
Haryana 14.6 10.9 10.4 11.0 8.1 82.5
Jammu & Kashmir 25.8 19.0 14.0 12.8 6.6 66.3
Ladakh 29.9 30.2 14.8 11.9 3.8 45.5
Punjab 67.5 59.1 67.2 71.3 50.3 20.5
Rajasthan 15.8 11.9 10.7 11.3 6.0 77.8
Uttarakhand 12.4 7.5 5.8 6.2 4.6 85.4
Central
Chhattisgarh 15.0 9.0 8.0 10.3 3.3 77.8
Madhya Pradesh 14.8 8.4 5.5 6.9 2.3 79.9
Uttar Pradesh 13.4 8.8 7.7 8.0 4.0 81.3
East
Bihar 15.0 9.9 9.3 8.1 4.1 78.4
Jharkhand 18.6 10.0 8.0 9.0 4.9 77.2
Odisha 15.7 3.7 2.5 1.6 0.6 81.7
West Bengal 24.2 15.8 14.9 10.6 3.9 65.2
Northeast
Assam 19.1 16.1 15.1 15.4 10.1 74.0
Manipur 20.2 14.3 12.5 15.1 8.9 73.7
Meghalaya 17.4 12.3 13.4 11.3 6.0 76.8
Mizoram 32.0 24.1 25.6 35.5 16.2 52.6
Nagaland 7.1 3.2 4.4 5.7 1.0 87.7
Sikkim 22.8 18.1 18.9 18.7 11.7 68.5
Tripura 11.7 7.6 6.1 6.4 3.4 84.1
West
Daman & Diu 9.5 5.1 7.0 7.1 2.0 85.3
Goa 6.3 3.0 3.4 9.2 2.4 88.9
Gujarat 9.7 6.6 4.5 5.1 2.2 86.2
Maharashtra 16.5 11.2 8.0 9.7 4.3 76.9
South
Andhra Pradesh 19.5 10.7 11.6 15.4 5.4 70.3
Karnataka 32.3 27.1 30.7 31.1 10.6 44.5
Kerala 22.6 11.4 8.8 13.0 3.9 69.2
Lakshadweep 7.4 4.9 5.3 6.2 1.0 88.2
Puducherry 6.1 3.7 3.8 4.3 2.4 91.2
Tamil Nadu 12.9 5.7 6.1 6.1 2.4 82.4
Telangana 26.6 15.7 17.7 18.6 6.2 58.2
632
Table 14.20 Ability to negotiate sexual relations with husband
Percentage of currently married women age 15-49 who can say no to their
husband if they do not want to have sexual intercourse, according to selected
Percentage who can

say no to their husband
if they do not want to Number of
Background characteristic have sexual intercourse women
Age
15-19 81.3 2,298
20-24 82.8 10,762
25-29 82.5 15,184
30-39 82.6 27,735
40-49 82.2 21,749
Residence
Urban 84.8 24,074
Rural 81.4 53,655
Schooling
Religion
Hindu 83.0 63,121
Muslim 79.4 10,697
Christian 85.6 1,678
Sikh 75.0 1,321
Jain 91.5 153
Other 72.4 297
Caste/tribe
Other 83.0 19,391
Don't know 79.0 550
Wealth quintile
Lowest 78.0 14,573
Second 80.6 15,829
Middle 82.3 15,969
Fourth 84.2 15,867
Highest 86.8 15,491
Total 82.4 77,729
633
Table 14.21 Ability to negotiate sexual relations with
husband by state/union territory
Percentage of currently married women age 15-49 who can

say no to their husband if they do not want to have sexual
intercourse, by state/union territory, India, 2019-21
Percentage who can say

no to their husband if
they do not want to have
State/union territory sexual intercourse
India 82.4
North
Chandigarh 82.8
Delhi 88.0
Haryana 84.2
Jammu & Kashmir 65.0
Ladakh 60.9
Punjab 73.2
Rajasthan 79.9
Uttarakhand 82.2
Central
Chhattisgarh 76.9
Madhya Pradesh 78.1
Uttar Pradesh 83.0
East
Bihar 81.7
Jharkhand 83.9
Odisha 83.6
West Bengal 79.5
Northeast
Assam 77.3
Manipur 81.6
Meghalaya 73.7
Mizoram 93.3
Nagaland 86.2
Sikkim 78.3
Tripura 83.9
West
Daman & Diu 74.4
Goa 91.9
Gujarat 84.3
Maharashtra 87.0
South
Andhra Pradesh 79.3
Karnataka 81.4
Kerala 90.0
Lakshadweep 94.2
Puducherry 93.3
Tamil Nadu 89.6
Telangana 84.9
634
Table 14.22 Ownership of assets
Percentage of women and men age 15-49 who own a house or land either alone or jointly, percentage of women who own a
mobile phone that they themselves use, and among women who own a mobile phone, percentage who can read SMS messages,
Among
Women Men
women who
Have a have a mobile
Own a mobile phone phone, Own a
house Own land that they Number percentage Number house Own land
Background alone or alone or themselves of who can read of alone or alone or Number
characteristic jointly jointly use women SMS messages women jointly jointly of men
Age
15-19 30.1 24.0 31.9 18,240 89.1 5,827 39.8 29.8 16,385
20-24 36.9 29.2 60.9 17,809 84.7 10,844 44.9 33.5 14,384
25-29 40.8 31.4 65.0 17,398 75.8 11,309 54.7 38.7 14,195
30-39 45.7 33.6 61.6 29,853 64.9 18,391 67.5 46.5 26,137
40-49 52.0 37.1 48.1 24,714 52.5 11,898 79.8 54.8 22,043
Residence
Urban 37.4 23.4 69.4 34,839 80.6 24,163 53.5 29.6 32,852
Rural 44.6 35.7 46.6 73,175 63.5 34,106 63.7 49.3 60,291
Schooling
No schooling 51.2 39.0 34.4 24,485 6.7 8,417 74.5 52.8 9,982
<5 years complete 40.8 30.0 40.8 5,715 18.9 2,335 68.2 46.2 5,842
5-7 years complete 42.4 31.5 47.7 14,547 46.1 6,946 65.2 44.8 12,082
8-9 years complete 37.4 29.2 48.4 19,237 76.9 9,317 58.5 42.8 18,472
10-11 years complete 39.5 29.4 57.2 16,278 90.4 9,303 56.9 40.2 16,735
12 or more years
complete 39.6 28.9 79.1 27,751 97.2 21,950 54.5 38.0 30,032
Nuclear 43.4 31.5 53.6 54,024 66.0 28,932 62.1 42.2 46,703
Non-nuclear 41.1 31.9 54.3 53,990 75.1 29,337 58.1 42.4 46,441
Religion
Hindu 42.6 32.5 53.8 87,179 70.9 46,907 60.3 43.6 73,632
Muslim 38.5 28.7 51.3 15,138 63.1 7,769 60.8 39.6 14,633
Christian 40.8 23.7 69.1 2,495 83.2 1,724 56.4 30.6 2,426
Sikh 60.0 31.7 61.0 1,908 81.8 1,164 59.3 34.3 886
Buddhist/Neo-Buddhist 29.9 22.0 55.4 652 78.6 361 50.1 29.8 1,017
Jain 20.2 13.3 71.2 214 99.3 152 52.0 23.9 280
Other 59.7 40.9 44.9 428 74.7 192 59.1 53.3 269
Caste/tribe
Scheduled caste 43.3 30.2 48.3 23,427 62.8 11,304 60.0 38.4 18,977
Scheduled tribe 47.0 39.0 39.9 9,909 64.4 3,958 63.3 50.9 8,441
Other backward class 44.9 33.8 54.6 47,251 69.8 25,778 61.9 43.8 38,986
Other 35.3 27.1 63.4 26,733 78.7 16,951 56.6 40.3 26,244
Don't know 27.5 18.4 40.1 694 50.2 278 53.2 37.1 496
Continued…
635
Table 14.22 Ownership of assets—Continued
Percentage of women and men age 15-49 who own a house or land either alone or jointly, percentage of women who own a
mobile phone that they themselves use, and among women who own a mobile phone, percentage who can read SMS messages,
Among
Women women who Men
Have a have a mobile
Own a mobile phone phone, Own a Own
house Own land that they Number percentage Number house land
Background alone or alone or themselves of who can read of alone or alone or Number
characteristic jointly jointly use women SMS messages women jointly jointly of men
Wealth quintile
Lowest 45.2 36.9 32.6 19,904 36.3 6,486 64.4 49.9 15,606
Second 43.6 34.9 41.6 22,049 54.1 9,180 63.4 49.0 18,497
Middle 42.8 32.0 51.1 22,252 65.6 11,369 60.7 43.7 19,829
Fourth 40.3 29.1 63.7 22,376 77.5 14,252 58.8 38.1 20,658
Highest 39.7 26.1 79.2 21,432 90.0 16,981 54.0 32.6 18,553
Total age 15-49 42.3 31.7 53.9 108,014 70.6 58,269 60.1 42.3 93,144
Age 50-54 na na na na na na 88.0 60.8 8,695
Total age 15-54 na na na na na na 62.5 43.9 101,839
na = Not applicable
1
adopted or fostered) with or without unrelated individuals. The remaining households are non-nuclear households.
636
Table 14.23 Ownership of assets by state/union territory
Percentage of women and men age 15-49 who own a house or land either alone or jointly, percentage of women who own
a mobile phone that they themselves use, and among women who own a mobile phone, percentage who can read SMS
messages, according to state/union territory, India, 2019-21
Among women
Women Men
who have a
Have a mobile mobile phone,
Own a Own land phone that percentage
house alone alone or they who can read Own a house Own land
State/union territory or jointly jointly themselves use SMS messages alone or jointly alone or jointly
India 42.3 31.7 53.9 70.6 60.1 42.3
North
Chandigarh 30.4 9.0 70.0 85.4 40.2 26.5
Delhi 21.9 12.7 73.8 82.3 37.2 21.1
Haryana 38.6 30.8 50.4 83.7 50.4 36.8
Jammu & Kashmir 56.6 51.1 75.2 70.1 78.5 69.8
Ladakh 71.9 63.8 81.2 76.3 74.6 70.7
Punjab 63.2 27.1 61.2 81.7 58.2 31.5
Rajasthan 26.0 20.7 50.2 69.4 55.9 43.3
Uttarakhand 23.8 17.5 60.9 82.8 52.3 38.8
Central
Chhattisgarh 45.1 38.8 40.7 79.7 71.7 66.3
Madhya Pradesh 38.9 32.3 38.5 74.3 57.3 45.4
Uttar Pradesh 51.2 42.7 46.5 65.7 65.5 55.8
East
Bihar 54.4 43.8 51.4 49.3 67.8 52.9
Jharkhand 63.6 54.6 49.0 67.6 82.6 73.7
Odisha 42.5 36.6 50.1 68.3 73.1 58.0
West Bengal 22.0 16.7 50.1 64.0 51.6 33.6
Northeast
Assam 42.2 34.8 57.2 70.6 74.2 63.5
Manipur 57.3 24.8 72.2 80.7 76.8 44.0
Meghalaya 64.1 44.6 67.5 84.4 48.0 38.3
Mizoram 19.4 13.9 82.3 95.6 50.4 40.4
Nagaland 25.5 15.8 82.5 79.2 52.1 41.4
Sikkim 52.4 39.7 88.6 85.3 75.6 70.1
Tripura 15.8 10.7 53.1 68.5 53.4 34.8
West
Daman & Diu 55.8 50.1 60.5 68.1 44.1 39.0
Goa 22.8 9.2 91.2 93.6 21.2 5.2
Gujarat 42.2 35.0 48.8 74.5 63.7 42.4
Maharashtra 21.5 14.7 54.8 82.9 44.0 27.0
South
Andhra Pradesh 45.6 24.5 48.9 61.4 67.1 34.8
Karnataka 66.2 53.7 61.8 68.5 67.9 51.1
Kerala 24.5 11.5 86.6 87.5 53.6 25.1
Lakshadweep 29.7 6.1 84.0 80.5 29.3 12.6
Puducherry 33.6 10.0 82.8 84.3 47.9 7.2
Tamil Nadu 47.0 21.9 74.6 73.1 60.4 26.3
Telangana 63.6 42.6 60.0 65.6 74.3 51.1
637
638
DOMESTIC VIOLENCE 15
Key Findings
 Experience of violence from anyone: Twenty-nine percent of

women age 18-49 have experienced physical violence since age
15, and 6 percent have ever experienced sexual violence in their
lifetime. Three percent of ever-pregnant women age 18-49 have
experienced physical violence during any pregnancy.
 Spousal violence: Thirty-two percent of ever-married women

age 18-49 have experienced physical, sexual, or emotional
spousal violence. The most common type of spousal violence is
physical violence (28%), followed by emotional violence (14%).
Six percent of ever-married women age 18-49 have experienced
spousal sexual violence.
 Trends in spousal physical or sexual violence: Ever-married

women’s ever experience of spousal physical or sexual violence
has declined from 31 percent in NFHS-4 to 29 percent in NFHS-
5.
 Injuries due to spousal violence: One-fourth of ever-married

women age 18-49 who have experienced spousal physical or
sexual violence report having physical injuries, including 7
percent who have had eye injuries, sprains, dislocations, or burns
and 6 percent who have had deep wounds, broken bones, broken
teeth, or any other serious injury.
 Help seeking: Only 14 percent of women who have experienced

physical or sexual violence by anyone have sought help to stop
the violence.
G ender-based violence against women has been acknowledged worldwide as a violation of basic human rights.
Increasing research has highlighted the health burdens, intergenerational effects, and demographic
consequences of such violence. Gender-based violence is defined by the United Nations as any act of violence
that results in physical, sexual, or psychological harm or suffering to women, girls, men, and boys, as well as threats
of such acts, coercion, or the arbitrary deprivation of liberty. This chapter highlights key results of domestic violence,
one of the most common forms of gender-based violence against women.
Domestic violence has been recognized since 1983 as a criminal offence under Indian Penal Code 498-A. However, it
was not until the enactment of the Protection of Women from Domestic Violence Act 2005 (PWDVA), which came
into effect in 2006, that civil protections were afforded to victims of domestic violence. The PWDVA provides a
definition of domestic violence that is comprehensive and includes all forms of physical, emotional, verbal, sexual,
and economic violence, and covers both actual acts of such violence and threats of violence. In addition, the PWDVA
recognizes marital rape and covers harassment in the form of unlawful dowry demands as a form of abuse. The Act
requires the appointment of protection officers to assist victims, and further acknowledges the importance of
collaboration between the government and external organizations in protecting women. Primarily meant to provide
protection from domestic violence for wives and female live-in partners at the hands of husbands and male live-in
partners or their relatives, the PWDVA has been extended to also protect women living in a household, such as sisters,
widows, or mothers. However, despite the PWDVA, violence against women and girls continues to be a major
639
(POCSO) Act, 2012 (Act No. 32 of 2012) came into effect from 14th November 2012). This is an Act to protect children
from offences of sexual assault, sexual harassment and pornography and provide for establishment of Special Courts
for trial of such offences and for matters connected therewith or incidental thereto. With this Act, now India has a
comprehensive law to protect children from such offences and to safeguard their interests at every stage of the judicial
process by adopting children-friendly mechanisms.
To help India monitor progress toward reducing domestic violence, NFHS-5 included a module of questions on
domestic violence that was administered to women age 18-49 in the subsample of households selected for the state
module. A similar module was also included in NFHS-4, although the NFHS-4 module was administered to women
age 15-49. Therefore, comparisons over time cannot be made for women age 18-49. In accordance with the World
Health Organization’s guidelines on the ethical collection of information on domestic violence, only one eligible
woman per household was randomly selected for the module, and the module was not administered to eligible woman
age 18-49 if privacy could not be obtained after at least three attempts during the survey. In total, 72,056 women
completed the domestic violence module. Only 4 percent of women eligible for the domestic violence module could
not be successfully interviewed with the module because privacy could not be obtained or for other reasons. Special
weights were used to adjust for the selection of only one woman per household and to ensure that the domestic violence
subsample was nationally representative.
15.1 MEASUREMENT OF VIOLENCE

In NFHS-5, information was obtained from never-married women age 18-49 on their experience of violence committed
by anyone and from ever-married women age 18-49 on their experience of violence committed by their current and
former husbands and by others. More specifically, violence committed by the current husband for currently married
women and by the most recent husband for formerly married women was measured by asking interviewed ever-married
women age 18-49 if their husband ever did the following to them:
Physical spousal violence: push you, shake you, or throw something at you; slap you; twist your arm or pull
your hair; punch you with his fist or with something that could hurt you; kick you, drag you, or beat you up;
try to choke you or burn you on purpose; or threaten or attack you with a knife, gun, or any other weapon
Sexual spousal violence: physically force you to have sexual intercourse with him even when you did not
want to; physically force you to perform any other sexual acts you did not want to; force you with threats or
in any other way to perform sexual acts you did not want to
Emotional spousal violence: say or do something to humiliate you in front of others; threaten to hurt or harm
you or someone close to you; insult you or make you feel bad about yourself
In addition, information was obtained from interviewed women age 18-49 (married and unmarried) about physical
violence committed by anyone (other than a current or most recent husband) since they were age 15 by asking if anyone
had hit, slapped, kicked, or done something else to hurt them physically. Interviewed women age 18-49 were asked
about the experience of sexual violence committed by anyone (other than a current or most recent husband) by asking
if at any time in their life, as a child or as an adult, they were forced in any way to have sexual intercourse or to perform
any other sexual acts when they did not want to do. Finally, women age 18-49 who had ever been pregnant were asked
about their experience of physical violence committed by anyone during any pregnancy.
640
15.2 WOMEN’S EXPERIENCE OF PHYSICAL VIOLENCE
Physical violence by anyone

Women age 18-49 who have experienced any physical violence (committed by
a husband or anyone else) since age 15 and in the 12 months preceding the
survey.
Twenty-nine percent of women age 18-49 in India have ever experienced physical violence since age 15, and 22 percent
have experienced physical violence in the 12 months preceding the survey (Table 15.1). Among women age 18-49
who have ever been pregnant, 3 percent have experienced physical violence during any pregnancy (Table 15.2 and
Figure 15.1).
Figure 15.1 Violence during Pregnancy by Level of

Schooling
Percentage of ever-pregnant women age 18-49 who have experienced
physical violence during any pregnancy
5.0
3.9
3.5
2.8
2.4
1.6

complete
 Women’s experience of physical violence increases with age, from 16 percent among women age 18-19 to 32
percent among women age 40-49. The experience of violence is less common among never-married women than
among women who have ever been married (Table 15.1 and Figure 15.2).
 The experience of physical violence is more common among women in rural areas (31%) than among women in
urban areas (24%).
 Women’s experience of violence declines sharply with women’s schooling and wealth. By schooling, the
percentage of women who report physical violence declines from 39 percent among women with no schooling to
17 percent among women with 12 or more years of schooling. Similarly, the experience of physical violence ranges
from 38 percent among women in the lowest wealth quintile to 17 percent among women in the highest wealth
quintile.
 Women who are employed are more likely to experience physical violence than women who are not employed.
For example, 36% of women who are employed for cash, compared with 25% of women who are not employed,
have experienced physical violence since age 15 years.
641
Figure 15.2 Women's Experience of Violence by
Marital Status
Never married Currently married
Married, gauna not performed Widowed/divorced/separated/deserted
44
30
13 14
6.2 8.9
2.0 1.8
Percentage who have experienced Percentage who have ever experienced

physical violence since age 15 sexual violence
15.2.1 Perpetrators of Physical Violence
Among ever-married women age 18-49 who have experienced physical violence since age 15, 83 percent report their
current husband as the perpetrator of the violence, and 9 percent report their former husband (Table 15.3). For never-
married women who have experienced physical violence since age 15, the most common perpetrators are mothers or
step-mothers (60%), fathers or step-fathers (36%), sisters or brothers (25%), and teachers (8%).
15.3 EXPERIENCE OF SEXUAL VIOLENCE
Sexual violence
Women who have experienced any sexual violence (committed by a husband or
anyone else) ever and in the 12 months preceding the survey.
15.3.1 Prevalence of Sexual Violence
Women age 18-49 were asked if they had ever experienced sexual violence by anyone as a child or as an adult. Overall,
6 percent of women report having ever experienced sexual violence in their lifetime (Table 15.4).
 Women’s experience of sexual violence is somewhat lower among younger women (4% each for women age 18-
19 and 20-24, 6% for women age 25-29, and 7% for women age 30 and over).
 Experience of sexual violence decreases sharply with schooling, from 9 percent among women with no schooling
to 3 percent among women with 12 or more years of schooling. Women’s experience of sexual violence declines
similarly with wealth, from 10 percent among women in the lowest wealth quintile to 3 percent among women in
the highest wealth quintile.
 Widowed, divorced, separated, or deserted women and women from ‘other’ religions are far more likely than any
other women to report having experienced sexual violence.
15.3.2 Perpetrators of Sexual Violence
NFHS-5 shows that sexual violence is most often committed by individuals with whom women have an intimate
relationship. Among ever-married women age 18-49 who have ever experienced sexual violence, 82 percent report
their current husband and 14 percent report a former husband as perpetrators. Among never-married women who
642
reported sexual violence, the most common perpetrators were ‘other’ relatives (39%), followed by a current or former
boyfriend (16%) and a family friend (12%). Some never-married women mention stranger (5%), teacher, father/step-
father, and brother/step-brother (4% each) as perpetrators (Table 15.6).
15.4 EXPERIENCE OF DIFFERENT TYPES OF VIOLENCE

Physical violence and sexual violence may not occur in isolation; rather, women may experience a combination of
different types of violence. Twenty-five percent of women age 18-49 have experienced physical violence only, 6
percent have experienced both physical and sexual violence, and 1 percent have experienced sexual violence only.
About one-third (32%) of women age 18-49 in India have experienced physical or sexual violence (Table 15.7). The
percentage of women who have experienced physical or sexual violence ranges from 3 percent in Lakshadweep to 42-
49 percent in Puducherry, Tamil Nadu, Bihar, and Karnataka.
15.5 MARITAL CONTROL BY HUSBAND
Marital control
Women whose current husband (if currently married) or most recent husband (if
formerly married) demonstrates at least one of the following controlling
behaviours: is jealous or angry if she talks to other men; frequently accuses her
of being unfaithful; does not permit her to meet her female friends; tries to limit
her contact with her family; insists on knowing where she is at all times; and does
not trust her with any money.
Attempts by husbands to closely control and monitor their wives’ behaviour are important early warning signs and
correlates of violence in a relationship. Because the concentration of behaviours is more significant than the display of
any single behaviour, the proportion of women whose husbands display at least three of the specified behaviours is
also discussed in this section.
Twenty-six percent of ever-married women report that their husband is jealous or angry if they talk to other men, 21
percent report that he does not trust them with any money, 20 percent report that he does not permit them to meet their
female friends, 19 percent report that he insists on knowing where they are at all times, 16 percent report that he tries
to limit their contact with their families, and 11 percent report that he frequently accuses them of being unfaithful.
Overall, 18 percent of ever-married women report that their husband displays three or more of the specified behaviours
and 54 percent report that he displays none of them (Table 15.8).
 Women’s reports of controlling behaviours by their husband decline with age. Overall, 20 percent of younger ever-
married women age 18-19 report that their husband displays at least three of the specified behaviours, compared
with 17 percent among women age 40-49 (Table 15.8).
 Women’s experience of at least three controlling behaviours is higher in rural areas (20%) than in urban areas
(15%) and declines with women’s schooling and wealth.
 Hindu and Muslim women are more likely (19% each) to have husbands with at least three controlling behaviours
than women belonging to any other religious group.
 Women’s reports of husband’s controlling behaviours vary greatly by whether or not the respondent is afraid of
her husband. While 10 percent of women who say that they are never afraid of their husband report at least three
controlling behaviours by their husband, this percentage is 41 percent among women who are afraid of their
husband most of the time.
643
15.6 FORMS OF SPOUSAL VIOLENCE
Spousal violence
Women who have experienced any of the specified acts of physical, sexual, or
emotional violence committed by their current husband (if currently married) or
their most recent husband (if formerly married), ever and in the 12 months
preceding the survey.
15.6.1 Prevalence of Spousal Violence
Thirty-two percent of ever-married women have ever experienced spousal physical, sexual, or emotional violence by
their current husband (for currently married women) or their most recent husband (for formerly married women), and
27 percent have experienced at least one of these forms of violence in the 12 months preceding the survey (Table
15.9).
Twenty-nine percent of ever-married women have experienced spousal physical violence, with 23 percent experiencing
such violence in the past 12 months. Six percent have experienced spousal sexual violence, with 5 percent experiencing
it in the past 12 months. Spousal emotional violence was reported by 14 percent of ever-married women, and 12 percent
reported such violence in the past 12 months.
Of the acts of physical violence

committed by the current or most Figure 15.3Types
Figure 15.3 Types of of Spousal
Spousal Violence
Violence
recent husbands, the most common Percentage of ever-married women age 18-49 who have ever
type is slapping, reported by 25 percent experienced specified acts of spousal physical or sexual violence
of ever-married women. Twelve
percent of women reported being 12
Pushed her, shook her, or threw
pushed, shaken, or having something something at her 10
thrown at them; 10 percent reported
10
having their arm twisted or hair pulled; Twisted her arm or pulled her hair
7.8
7.8
and 8 percent reported being punched
25
25
with his fist or with something that Slapped her
Slapped her
7.7
7.7
could hurt them or being kicked,
Punched her
Punched her with
with his
his fist
fist or
or with
with 7.7
7.7
dragged, or beaten up. Two percent of something
something that
that could
could hurt
hurt her
her 6.3
6.3
women reported that their husband
8.3
tried to choke or burn them on purpose Kicked
Kicked her,
her, dragged
dragged her,
her, or
or beat
beat her
her up
up
8.3
6.7
6.7
and 1 percent reported that their
Tried 2.3
husband had threatened or attacked Tried to
to choke
choke her
her or
or burn
burn her
her on
on 2.3
purpose
purpose 1.9
them with a knife, gun, or other 1.9
weapon. The form of sexual violence Threatened her or attacked her with a 1.2
Threatened her or attacked her with a 1.2
knife, gun, or any other weapon 1.1
most commonly reported by women is knife, gun, or any other weapon 1.1
Physically forced her to have sexual
that their husband used physical force Physically forced her to have sexual
intercourse with him even when she did
4.6
4.6
to have sexual intercourse when they intercourse with him even when she did 3.9
not want to 3.9
not want to
did not want to (5%). Four percent Forced her to perform any sexual acts 2.4
Forced her to did
perform any to
sexual acts 2.4
reported that their husband forced them she not want 2.1
she did not want to 2.1
with threats or in other ways to perform Forced her with threats or in any other 3.8
Forced
way her withany
to perform threats
sexualor in any
acts other
she did 3.8 Ever Past 12 Months
sexual acts they did not want to, and 2 way to perform any
not sexual
want to acts she did 3.1 Ever Past 12 Months
not want to 3.1
percent reported that their husband
forced them to perform any sexual acts
they did not want to (Figure 15.3).
Women reporting emotional violence were most likely to report that their husband said or did something to humiliate
them in front of others (10%), followed by their husband insulting them or making them feel bad about themselves
(9%). Six percent of women said that their husband threatened to hurt or harm them or someone close to them.
644
Women who were married more than once were also asked about spousal physical or sexual violence by any other
husband. Twenty-nine percent of them have ever experienced spousal physical or sexual violence committed by any
husband, only slightly higher than the percentage of women who have experienced physical or sexual violence
committed by the current or most recent husband (Table 15.9). During the 12 months before the survey, 24 percent of
ever-married women experienced physical or sexual violence by any husband, either current or previous (Table 15.9
and Table 15.10).
 Ever experience of one or more forms of spousal violence by ever-married women increases sharply with women’s
number of living children, from 24 percent among women with no children to 41 percent among women with five
or more children (Table 15.11).
 Women in rural areas are more likely (34%) than women in urban areas (27%) to experience one or more forms
of spousal violence.
 Although all forms of spousal violence decline sharply with schooling and wealth, 1 in 5 women with 12 or more
years of schooling and women who are in the highest wealth quintile report ever having experienced physical,
sexual, or emotional spousal violence.
 Intergenerational effects of spousal violence are evident in India. Women who report that their father beat their
mother are much more likely (58%) to have themselves experienced spousal violence than women who report that
their fathers did not beat their mother (25%).
Patterns by husband’s characteristics and empowerment indicators
 Based on the reports of ever-married women age 18-49 of their experience of spousal violence, husbands who
have completed 12 or more years of schooling are half as likely (22%) to commit physical, sexual, or emotional
spousal violence as husbands with no schooling (43%). Notably, the variation in spousal violence by women’s
own education is similar to the variation by the education of their husband (Table 15.12).
 Women with husbands having the same education level as them are less likely (26%) to have experienced spousal
violence than women in couples in which neither attended school (43%) or one or the other has more schooling.
 The likelihood of experiencing spousal

violence increases sharply with the Figure
Figure 15.4
15.4 Spousal
Spousal Violence
Violence by Husband's
Husband'sAlcohol
Alcohol
number of marital control behaviours Consumption
Consumption
displayed by husbands; 75 percent of Percentage of ever-married women who have ever experienced
women whose husbands displayed 5-6 spousal physical or sexual violence
of the specified marital control
behaviours have ever experienced
spousal violence, compared with 17 71
71
percent of women whose husbands did
not display any specified behaviours. 46
46
33
33
 Experience of spousal physical or 23
23
sexual violence varies greatly with the
level of the husband’s alcohol
consumption. Seventy-one percent of Husband
Husband
does
does
not drink
Husband drinks, but
Husband drinks, but
never gets drunk
Husband gets
Husband gets
drunk sometimes
Husband gets
Husband gets
drunk often
not drink never gets drunk drunk sometimes drunk often
women whose husbands often get drunk
have experienced spousal physical or sexual violence, compared with 23 percent of women whose husbands do
not drink alcohol (Figure 15.4).
 Women’s experience of spousal violence does not vary linearly with women’s participation in household decision-
making, and their acceptance of wife beating. However, more than 40 percent of the women who agree with 3-7
of the specified reasons for wife beating have experienced spousal violence, compared with 23% of women who
agree with none of the specified reasons for wife beating.
645
Figure 15.5 Spousal Violence by State/UT
Percentage of ever-married women age 18-49 who have ever
experienced spousal physical, sexual, or emotional violence
Karnataka 48
Bihar 43
Manipur 42
Telangana 41
Tamil Nadu 40
Uttar Pradesh 37
Assam 34
Jharkhand 34
Andhra Pradesh 33
Odisha 32
INDIA 32
Puducherry 31
Madhya Pradesh 31
West Bengal 30
Maharashtra 28
Ladakh 28
Rajasthan 26
Delhi 26
Tripura 23
Meghalaya 21
Chhattisgarh 21
Haryana 21
Sikkim 21
Uttarakhand 18
Dadra & Nagar Haveli Daman & Diu 18
Gujarat 16
Punjab 13
Kerala 13
Jammu & Kashmir 13
Mizoram 12
Chandigarh 12
Nagaland 11
Himachal Pradesh 11
Goa 10
Lakshadweep 1.3
 Fear of husband and spousal violence are highly correlated. Women who say that they are afraid of their husband
most of the time are most likely to have ever experienced spousal violence (59%), followed by women who are
sometimes afraid of their husbands (34%). Among women who say that they are never afraid of their husband, 15
percent have experienced spousal violence.
 Women’s experience of any spousal physical, sexual, or emotional violence varies greatly across states/UTs, from
1 percent in Lakshadweep to 10 percent in Goa and 11 percent each in Himachal Pradesh and Nagaland to 40-43
percent of women in Tamil Nadu, Telangana, Manipur and Bihar, and to 48 percent in Karnataka (Table 15.13
and Figure 15.5).
Table 15.14 shows when spousal violence first occurred in relation to the start of marriage for women married only
once. Among currently married women age 18-49 who have been married only once, 11 percent reported their first
ever experience of spousal violence within the first 2 years of marriage, and 21 percent experienced such violence
within 5 years. This suggests that a large proportion of spousal violence begins early in marriage.
646
15.7 INJURIES TO WOMEN DUE TO SPOUSAL VIOLENCE
Injuries due to spousal violence

Women who have the following types of injuries from spousal violence: cuts,
bruises, or aches; severe burns; eye injuries, sprains, dislocations, or burns;
deep wounds, broken bones, broken teeth, or any other serious injuries
Sample: Ever-married women age 18-49 who have experienced physical or
sexual violence committed by their current husband (if currently married) or most
recent husband (if formerly married)
Among ever-married women who have experienced any spousal physical or sexual violence, one-fourth (25%) have
sustained some kind of injury, and the percentage who have been injured is similar for women who have ever
experienced spousal violence and have experienced it in the past 12 months (Table 15.15).
Cuts, bruises, or aches are the most common types of injuries (22%) reported by women who have experienced spousal
physical or sexual violence. However, 7 percent of women who experienced spousal physical or sexual violence report
serious injuries like eye injuries, sprains, dislocations, or burns and 6 percent have had deep wounds, broken bones, or
broken teeth. Three percent report having experienced severe burns.
15.8 VIOLENCE INITIATED BY WOMEN AGAINST HUSBANDS
Initiation of physical violence by wives

Women who have ever hit, slapped, kicked, or done anything else to physically
hurt their current (if currently married) or most recent (if formerly married)
husband at times when he was not already beating or physically hurting her.
Four percent of ever-married women have ever initiated physical violence against their husband when he was not
already beating or physically hurting them. Three percent reported that they initiated such violence in the past 12
months (Table 15.16).
Women who have experienced spousal violence are much more likely than women who have not experienced spousal
violence to have ever initiated violence against their husband. Ten percent of women who have ever experienced
spousal violence perpetrated such violence, compared with 1 percent who have never experienced such spousal
violence. Nonetheless, among women who initiated violence, the percentage who experience violence is much lower
than the percentage of women who have ever experienced spousal physical violence.
647
15.9 HELP-SEEKING AMONG WOMEN WHO HAVE EXPERIENCED VIOLENCE
Of all women in India who have ever experienced any type of physical or sexual violence, only 14 percent have sought
help for the violence, and 77 percent have never sought any help nor told anyone about the violence they experienced
(Table 15.17 and Figure 15.6).
Figure 15.6 Help Seeking by Type of Violence

Experienced
Percentage of women age 18-49 who have experienced
physical or sexual violence who sought help
26
14
12 9.5
Physical only Sexual only Both physical and Physical or

sexual sexual
 Help seeking is much more common among women who have experienced both physical and sexual violence
(26%) than among women who have experienced only physical violence or only sexual violence (10-12%).
 Women who have experienced violence by a previous husband only are much more likely to have sought help
(24%) than women who have experienced violence only by their current husband (11%).
 Help seeking to stop the violence does not vary much by most other characteristics.
15.9.1 Sources of Help
Among the women who have experienced physical or sexual violence and sought help, the most common source for
help was the woman’s own family (61%). The second most common source for help was the husband’s family (29%).
Seventeen percent of women sought help from a friend. Among institutional sources of help, the most common is
police (6%), followed by a social service organization (3%). Only 2 percent each have ever sought help from a doctor
or medical personnel or a lawyer (Table 15.18).
648
LIST OF TABLES
For more information on domestic violence, see the following tables:
Tables
Table 15.1 Experience of physical violence
Table 15.2 Experience of violence during pregnancy
Table 15.3 Persons committing physical violence
Table 15.4 Experience of sexual violence
Table 15.5 Age at first experience of sexual violence
Table 15.6 Persons committing sexual violence
Table 15.7 Experience of different types of violence
Table 15.8 Degree of marital control exercised by husbands
Table 15.9 Forms of spousal violence
Table 15.10 Violence by any husband in the past 12 months
Table 15.11 Spousal violence by background characteristics
Table 15.12 Spousal violence by husband's characteristics and empowerment indicators
Table 15.13 Spousal violence by state/union territory
Table 15.14 Experience of spousal violence by duration of marriage
Table 15.15 Injuries to women due to spousal violence
Table 15.16 Violence by women against their husband
Table 15.17 Help seeking
Table 15.18 Sources from where help was sought
649
Table 15.1 Experience of physical violence
Percentage of women age 18-49 who have ever experienced physical violence since age 15 and percentage who have experienced
physical violence during the 12 months preceding the survey, by background characteristics, India 2019-21
Percentage who
Percentage who have experienced physical violence
have ever
experienced
physical violence Often or Number of
Background characteristic since age 151 Often Sometimes sometimes women
Age
18-19 16.4 1.5 10.0 11.5 4,907
20-24 22.8 2.8 15.0 17.8 12,190
25-29 28.1 3.5 19.2 22.8 12,040
30-39 31.9 3.9 20.6 24.5 23,613
40-49 32.1 4.0 20.2 24.2 19,306
Residence
Urban 23.8 2.5 15.2 17.7 23,280
Rural 31.1 4.0 20.2 24.3 48,776
Schooling
No schooling 39.3 5.5 26.1 31.5 18,294
<5 years complete 32.9 4.4 20.0 24.4 4,807
5-7 years complete 32.8 4.0 21.6 25.6 10,267
8-9 years complete 27.5 3.1 17.1 20.1 10,643
10-11 years complete 25.2 2.8 17.3 20.2 9,818

Not employed 25.2 2.9 16.8 19.7 47,249
Employed for cash 35.8 5.0 22.2 27.2 21,101
Employed not for cash 33.2 3.0 20.7 23.8 3,706
Marital status
Never married 12.9 1.0 6.9 7.8 9,600
Married, gauna not performed 2.1 0.0 1.5 1.5 75
Widowed/divorced/
Nuclear 30.6 3.6 19.7 23.3 36,509
Non-nuclear 26.8 3.4 17.5 20.9 35,547
Religion
Hindu 29.7 3.7 19.4 23.1 56,423
Muslim 26.1 3.2 16.6 19.8 11,795
Christian 22.6 1.9 14.2 16.1 2,046
Sikh 11.7 1.7 6.6 8.3 646
Jain 18.2 0.9 4.4 5.2 186
Other 30.7 1.3 15.7 17.0 227
Continued…
650
Table 15.1 Experience of physical violence—Continued
Percentage of women age 18-49 who have ever experienced physical violence since age 15 and percentage who have experienced
physical violence during the 12 months preceding the survey, by background characteristics, India 2019-21
Percentage who Percentage who have experienced physical violence

have ever in the past 12 months
experienced
physical violence Often or Number of
Background characteristic since age 151 Often Sometimes sometimes women
Caste/tribe
Scheduled caste 33.9 4.5 22.1 26.6 14,959
Scheduled tribe 31.0 4.1 19.5 23.6 6,409
Other 22.3 2.7 13.6 16.3 20,153
Don't know 23.5 1.2 14.8 16.0 480
Wealth quintile
Lowest 37.7 5.7 24.1 29.8 13,270
Second 35.1 4.3 23.3 27.6 14,936
Middle 29.7 3.6 19.3 22.9 15,311
Fourth 24.1 2.5 15.4 17.9 15,263
Highest 16.8 1.5 10.8 12.2 13,276
Total 28.7 3.5 18.6 22.1 72,056

1
Includes violence in the past 12 months. For women who were married before age 15 and who reported physical violence by their husband, the
violence could have occurred before age 15.
2
651
Table 15.2 Experience of violence during pregnancy
Among women age 18-49 who have ever been pregnant, percentage who
have ever experienced physical violence during pregnancy, by
Percentage who Number of

experienced women who
violence during have ever
Background characteristic pregnancy been pregnant
Age
18-19 5.0 951
20-24 2.4 6,761
25-29 2.9 10,040
30-39 3.2 22,596
40-49 3.2 18,646
Residence
Urban 2.6 18,089
Rural 3.3 40,905
Marital status
Never married 0.6 80
Currently married 2.9 55,531
Widowed/divorced/
separated/deserted 7.2 3,383

0 1.7 2,024
1-2 2.8 35,547
3-4 3.7 17,669
5 or more 4.6 3,753
Schooling
Religion
Hindu 3.1 46,651
Muslim 3.3 9,525
Christian 3.3 1,521
Sikh 2.0 451
Jain 0.0 124
Other 1.4 178
Caste/tribe
Other 2.5 16,216
Don't know 3.7 422
Wealth quintile
Lowest 4.2 11,520
Second 3.6 12,552
Middle 3.7 12,589
Fourth 2.3 12,110
Highest 1.6 10,222
Total 3.1 58,993
652
Table 15.3 Persons committing physical violence
Among women age 18-49 who have experienced physical violence since age 15, percentage
who report specific persons who committed the violence, according to the respondent's
marital status, India, 2019-21
Marital status
Person Ever married Never married Total
Current husband/partner 82.9 na 78.0

Former husband/partner 8.8 na 8.3
Current boyfriend 0.2 1.0 0.2
Former boyfriend 0.1 0.9 0.1
Father/step-father 7.9 35.7 9.5
Mother/step-mother 12.2 60.3 15.1
Sister/brother 5.2 24.9 6.4
Daughter/son 0.3 1.7 0.3
Other relative 1.3 3.5 1.4
Mother-in-law 0.7 na 0.7
Father-in-law 0.3 na 0.3
Other-in-law 0.6 na 0.6
Teacher 1.2 8.0 1.6
Employer/someone at work 0.0 0.0 0.0
Police/soldier 0.0 0.0 0.0
Other 0.5 1.4 0.6
Number of women who have experienced

physical violence since age 15 19,459 1,237 20,696
Note: Women can report more than one person who committed the violence.
na = Not applicable
653
Table 15.4 Experience of sexual violence
Percentage of women age 18-49 who have ever experienced sexual violence,
Percentage
who have ever
experienced Number of
Background characteristic sexual violence women
Age
18-19 3.5 4,907
20-24 4.2 12,190
25-29 6.2 12,040
30-39 7.0 23,613
40-49 6.5 19,306
Residence
Urban 4.7 23,280
Rural 6.7 48,776
Schooling
Marital status
Never married 1.8 9,600
Currently married 6.2 58,611
Married, gauna not performed 8.9 75
Widowed/divorced/separated/deserted 13.8 3,771
Nuclear 6.4 36,509
Non-nuclear 5.7 35,547
Religion
Hindu 6.0 56,423
Muslim 6.5 11,795
Christian 4.1 2,046
Sikh 2.5 646
Jain 2.0 186
Other 11.1 227
Caste/tribe
Other 5.6 20,153
Don't know 5.5 480
Wealth quintile
Lowest 10.0 13,270
Second 7.6 14,936
Middle 5.4 15,311
Fourth 4.2 15,263
Highest 3.2 13,276
Total 6.0 72,056

1 Nuclear households are households comprised of a married couple or a man or a woman
living alone or with unmarried children (biological, adopted, or fostered) with or without
unrelated individuals. The remaining households are non-nuclear households.
654
Table 15.5 Age at first experience of sexual violence
Percentage of women age 18-49 who experienced sexual violence by specific exact age, according to current age and marital status,
India, 2019-21
Percentage
Percentage who first experienced sexual violence by exact age: who have not
experienced Number of
Background characteristic 10 12 15 18 22 sexual violence women
Age
18-19 0.0 0.0 0.0 0.6 na 96.5 4,907
20-24 0.0 0.0 0.1 1.0 na 95.8 12,190
25-29 0.0 0.1 0.6 1.8 3.6 93.8 12,040
30-39 0.0 0.0 0.3 1.9 3.9 93.0 23,613
40-49 0.0 0.1 0.7 1.8 3.3 93.5 19,306
Marital status
Never married 0.0 0.0 0.0 0.0 0.0 98.2 9,674
Ever married 0.0 0.1 0.5 1.9 3.9 93.3 62,381
Total 0.0 0.1 0.4 1.6 3.3 94.0 72,056

na = Not applicable
655
Table 15.6 Persons committing sexual violence
Among women age 18-49 who have experienced sexual violence, percentage who report specific persons committing
sexual violence according to current marital status and age at first experience of sexual violence, India, 2019-21
Age at first experience of

Marital status sexual violence
Ever Never 18 years Don't
Person married married <18 years or higher know1 Total
Current husband 82.0 na 86.1 85.3 57.9 78.7

Former husband 13.7 na 14.6 14.9 8.3 13.2
Current/former boyfriend 1.6 16.1 2.6 0.8 4.5 2.2
Father/step-father 0.9 3.5 0.5 0.3 2.9 1.0
Brother/step-brother 0.5 3.9 0.1 0.0 2.5 0.7
Other relative 2.3 39.3 2.3 0.4 12.0 3.8
In-law 0.3 na 0.2 0.0 0.9 0.3
Own friend/acquaintance 1.0 2.6 1.0 0.5 2.3 1.1
Family friend 0.4 11.7 0.5 0.0 2.8 0.8
Teacher 0.0 3.9 0.0 0.0 0.8 0.2
Employer/someone at work 0.3 1.8 0.1 0.3 0.7 0.3
Police/soldier 0.1 0.0 0.0 0.0 0.2 0.1
Priest/religious leader 0.0 0.0 0.0 0.0 0.1 0.0
Stranger 0.2 5.2 0.1 0.0 1.5 0.4
Other 0.6 12.0 0.7 0.2 3.1 1.0
Number of women 4,169 176 1,158 2,100 1,087 4,345

na = Not applicable
1 Includes women who report having ever experienced sexual violence committed only by their current husband if currently married
or most recent husband if widowed, divorced, separated, or deserted. For these women, the age at first experience of sexual violence
is not known.
656
Table 15.7 Experience of different types of violence
Percentage of women age 18-49 who have experienced different types of violence, by age, residence,
marital status, sex of children, and state/union territory, India 2019-21
Physical Physical
Physical Sexual and sexual or sexual
Background characteristic violence only violence only violence violence
India 25.1 1.0 5.5 31.5
Residence
Urban 21.0 0.9 4.0 25.9
Rural 27.1 1.0 6.2 34.3
Age
18-19 14.6 1.3 2.4 18.3
20-24 20.4 1.0 3.4 24.7
25-29 24.5 1.1 5.5 31.0
30-39 27.7 0.9 6.7 35.3
40-49 28.2 0.9 6.1 35.2
Marital status
Ever married 27.2 1.0 6.2 34.4
Never married 12.1 0.9 0.9 13.9
Woman's children
Women who have only sons 25.6 1.3 5.5 32.4
Women who have only daughters 24.3 0.9 6.1 31.2
Women who have sons and daughters 30.1 0.9 6.7 37.7
Women who have no children 15.1 1.0 2.5 18.6
North
Chandigarh 6.7 0.0 2.1 8.8
Delhi 20.6 2.8 5.5 28.9
Haryana 15.1 0.9 3.1 19.1
Jammu & Kashmir 7.0 0.4 2.5 9.9
Ladakh 9.2 2.4 5.4 17.0
Punjab 12.8 0.6 1.9 15.3
Rajasthan 20.1 1.0 4.4 25.6
Uttarakhand 15.5 0.2 2.9 18.7
Central
Uttar Pradesh 29.6 0.8 5.3 35.7
East
Bihar 34.7 1.1 7.3 43.1
Jharkhand 27.1 1.2 5.7 34.0
Odisha 28.5 1.2 4.2 33.9
West Bengal 20.6 1.6 8.1 30.4
Northeast
Assam 29.2 1.0 6.6 36.7
Manipur 34.3 0.7 3.6 38.7
Meghalaya 10.9 2.0 4.0 16.9
Mizoram 7.4 0.3 1.1 8.9
Nagaland 8.9 1.0 0.6 10.5
Sikkim 12.6 1.1 0.9 14.6
Tripura 22.8 1.2 6.2 30.3
Continued…
657
Table 15.7 Experience of different types of violence—Continued
Percentage of women age 18-49 who have experienced different types of violence, by age, residence,
marital status, sex of children, and state/union territory, India 2019-21
Physical Physical
Physical Sexual and sexual or sexual
Background characteristic violence only violence only violence violence
West
Dadra & Nagar Haveli and Daman & Diu 14.0 0.5 3.8 18.2
Goa 17.5 1.2 2.6 21.3
Gujarat 11.1 0.9 2.4 14.3
Maharashtra 21.0 1.2 5.1 27.3
South
Karnataka 37.2 0.9 10.4 48.5
Kerala 8.4 0.4 1.0 9.7
Lakshadweep 2.0 0.6 0.0 2.6
Puducherry 40.7 1.0 0.6 42.3
Tamil Nadu 40.1 0.5 2.3 42.9
Telangana 35.4 0.4 4.3 40.1
658
Table 15.8 Degree of marital control exercised by husbands
Percentage of ever-married women age 18-49 whose husband has ever demonstrated specific types of controlling behaviours, according to background characteristics, India 2019-21
Percentage of women whose husband:

Displays 3 or
Is jealous or Frequently Does not permit Tries to limit her Insists on Does not trust more of the Displays none of
angry if she talks accuses her of her to meet her contact with her knowing where her with any specific the specific Number of
Background characteristic to other men being unfaithful female friends family she is at all times money behaviours behaviours women
Age
18-19 31.6 8.7 22.8 15.6 19.3 22.4 20.2 50.1 1,475
20-24 30.1 11.7 21.4 16.2 22.1 22.2 21.0 49.8 7,923
25-29 27.5 10.7 20.5 15.6 20.5 21.8 19.0 53.4 10,757
30-39 25.9 11.0 19.6 15.5 18.7 20.6 18.3 54.1 23,128
40-49 24.0 10.1 19.0 15.3 18.4 19.9 16.8 56.1 19,098
Residence
Urban 22.3 9.3 17.0 12.9 15.9 16.3 14.7 60.4 19,173
Rural 28.0 11.4 21.2 16.7 20.9 22.8 20.0 51.0 43,208
Schooling
No schooling 31.4 13.4 22.5 18.8 23.2 25.9 22.4 46.2 17,887
<5 years complete 27.4 13.1 20.6 16.9 22.0 21.7 21.0 53.2 4,660
659
5-7 years complete 28.4 11.9 22.5 16.5 20.6 21.9 20.4 51.4 9,801
8-9 years complete 24.3 9.2 18.8 13.9 18.1 19.3 16.7 56.4 9,533
10-11 years complete 25.0 10.8 19.1 15.3 16.7 18.8 16.8 56.6 8,324
Marital status
Widowed/divorced/

0 27.8 10.5 20.8 15.8 20.4 21.1 18.8 52.0 5,460
1-2 23.9 10.1 19.2 14.5 17.6 19.1 16.9 56.8 35,518
3-4 28.9 11.8 20.4 17.1 21.4 22.7 20.3 50.8 17,652
5 or more 33.7 12.3 23.0 17.8 24.5 27.9 22.6 44.0 3,752
Continued…
Table 15.8 Degree of marital control exercised by husbands—Continued
Percentage of women whose husband: Displays 3 or


Not employed 25.6 9.5 19.4 14.5 18.4 20.7 17.6 55.0 40,206
Employed for cash 27.5 13.7 20.8 17.8 21.1 21.0 19.9 52.2 18,792
Employed not for cash 27.3 9.4 20.9 15.6 21.2 21.6 18.2 50.4 3,384
Marital duration1
Married only once 25.6 10.0 19.6 15.0 18.9 20.4 17.7 54.6 57,762
0-4 years 26.4 8.1 18.9 13.1 18.4 18.9 16.3 55.1 9,208
5-9 years 27.4 11.0 19.1 15.1 19.8 21.1 19.0 54.2 9,772
10+ years 24.9 10.1 19.9 15.4 18.8 20.5 17.8 54.6 38,783
Married more than once 32.9 18.5 24.7 19.3 26.0 26.3 24.1 45.3 848
Nuclear 25.6 10.6 19.6 15.6 18.9 20.7 17.9 54.0 30,740
660
Non-nuclear 26.9 10.9 20.1 15.5 19.9 21.0 18.8 53.9 31,641
Religion
Hindu 26.5 10.9 20.1 15.9 19.8 21.4 18.7 53.3 49,365
Muslim 27.0 10.5 20.5 15.6 19.0 20.4 18.7 54.2 9,993
Christian 17.9 9.3 12.9 9.7 15.3 13.4 11.3 64.1 1,610
Sikh 15.1 5.0 9.2 6.2 8.1 9.9 7.7 75.7 489
Jain 10.0 7.0 20.7 3.6 19.5 4.7 8.3 57.3 136
Other 21.8 6.7 29.7 9.6 19.4 24.1 14.5 44.8 172
Caste/tribe
Scheduled caste 29.6 13.7 22.1 17.8 21.6 22.9 21.1 50.4 13,148
Scheduled tribe 27.1 11.1 17.7 13.3 20.3 20.6 17.2 53.8 5,520
Other 21.8 8.2 18.5 13.1 15.4 18.3 15.4 59.7 17,108
Don't know 20.5 10.4 27.8 12.1 17.3 28.4 21.1 51.4 438
Continued…
Table 15.8 Degree of marital control exercised by husbands—Continued
Percentage of women whose husband: Displays 3 or

Wealth quintile
Lowest 35.0 14.4 25.7 20.1 26.2 28.6 25.6 42.0 12,113
Second 30.5 12.6 22.3 17.1 22.1 24.9 22.0 48.2 13,231
Middle 24.9 11.4 19.2 15.4 18.8 20.2 17.8 55.2 13,260
Fourth 21.9 9.3 17.8 13.9 16.6 16.7 14.5 59.6 12,886
Highest 18.2 5.4 13.9 10.8 12.4 12.9 10.9 65.8 10,892
Woman afraid of husband

Most of the time 48.7 27.1 35.2 31.9 38.1 36.7 41.2 28.6 7,321
Sometimes 26.6 10.2 18.7 15.1 19.0 20.0 17.4 54.1 39,638
Never 14.8 4.4 15.6 8.9 11.3 15.6 9.9 65.5 15,422
Total 26.3 10.7 19.9 15.5 19.4 20.8 18.3 53.9 62,381
661
1
Currently married women only
2
Nuclear households are households comprised of a married couple or a man or a woman living alone or with unmarried children (biological, adopted, or fostered) with or without unrelated individuals. The remaining households
are non-nuclear households.
Table 15.9 Forms of spousal violence
Percentage of ever-married women age 18-49 who have experienced various forms of violence committed by their husband ever or
in the 12 months preceding the survey, India 2019-21
In the past 12 months

Often or
Type of violence Ever1 Often Sometimes sometimes
Physical violence
Any form of physical violence 28.3 3.7 19.3 23.0
Pushed her, shook her, or threw something at her 12.2 1.6 8.4 10.0
Twisted her arm or pulled her hair 10.1 1.5 6.3 7.8
Slapped her 25.3 1.3 6.4 7.7
Punched her with his fist or with something that could hurt her 7.7 1.2 5.2 6.3
Kicked her, dragged her, or beat her up 8.3 1.2 5.5 6.7
Tried to choke her or burn her on purpose 2.3 0.6 1.3 1.9
Threatened her or attacked her with a knife, gun, or any
other weapon 1.2 0.4 0.6 1.1
Sexual violence
Any form of sexual violence 6.3 1.2 4.0 5.2
Physically forced her to have sexual intercourse with him even
when she did not want to 4.6 0.8 3.1 3.9
Forced her to perform any sexual acts she did not want to 2.4 0.5 1.6 2.1
Forced her with threats or in any other way to perform any
sexual acts she did not want to 3.8 0.7 2.4 3.1
Emotional violence
Any form of emotional violence 14.0 2.7 9.5 12.2
Said or did something to humiliate her in front of others 9.6 1.8 6.3 8.1
Threatened to hurt or harm her or someone close to her 5.9 1.3 3.9 5.2
Insulted her or made her feel bad about herself 8.6 1.5 5.8 7.4
Any form of physical and/or sexual violence 29.2 4.1 19.8 24.0
Any form of physical and sexual violence 5.4 1.8 3.1 5.0
Any form of physical and/or sexual and/or emotional violence 31.9 5.3 21.4 26.8
Any form of physical and sexual and emotional violence 3.6 1.7 1.6 3.4
Spousal violence committed by any husband

Physical violence 28.4 na na 23.0
Sexual violence 6.4 na na 5.2
Physical and/or sexual violence 29.3 na na 24.0
Number of ever married women 62,381 62,381 62,381 62,381

Note: Husband refers to the current husband for currently married women and the most recent husband for widowed, divorced, separated, or
deserted women.
na = Not applicable
1 Includes in the past 12 months
662
Table 15.10 Violence by any husband in the past 12 months
Percentage of ever-married women age 18-49 who have experienced emotional, physical, or sexual violence by any
husband/partner in the past 12 months, according to background characteristics, India 2019-21
Physical
and sexual Physical or Number of
Physical and Physical or sexual or ever-
Emotional Physical Sexual and sexual emotional sexual emotional married
Background characteristic violence1 violence violence violence violence violence violence women
Age
18-19 10.0 17.2 6.5 5.0 2.6 18.7 22.1 1,475
20-24 10.9 20.8 4.6 3.1 2.1 22.3 25.0 7,923
25-29 12.2 23.4 5.4 4.5 3.1 24.3 27.0 10,757
30-39 12.4 23.7 5.6 4.6 3.1 24.6 27.3 23,128
40-49 12.5 23.3 4.8 3.9 2.5 24.2 27.2 19,098
Residence
Urban 10.3 18.9 4.1 3.2 2.2 19.9 22.6 19,173
Rural 13.0 24.8 5.7 4.6 3.0 25.8 28.7 43,208
Schooling
No schooling 15.5 30.7 6.8 5.7 3.6 31.7 34.5 17,887
<5 years complete 13.3 24.3 7.2 5.7 4.0 25.8 28.7 4,660
5-7 years complete 12.9 24.7 5.3 4.5 3.4 25.6 28.4 9,801
8-9 years complete 10.4 20.1 4.8 3.6 2.2 21.3 24.1 9,533
10-11 years complete 11.3 20.3 4.5 3.8 2.4 21.1 24.2 8,324
Nuclear 12.8 25.1 5.7 4.6 3.0 26.2 28.9 30,740
Non-nuclear 11.5 20.9 4.8 3.9 2.6 21.9 24.7 31,641
Religion
Hindu 12.4 23.7 5.2 4.3 2.8 24.7 27.5 49,365
Muslim 11.5 21.3 5.4 4.2 2.9 22.5 25.1 9,993
Christian 11.1 16.8 4.1 3.2 1.9 17.7 21.8 1,610
Sikh 5.9 8.1 2.9 2.3 2.0 8.7 10.0 489
Jain 2.1 3.8 0.6 0.6 0.6 3.8 3.8 136
Other 6.2 19.7 6.0 5.1 2.3 20.6 21.5 172
Caste/tribe
Scheduled caste 14.9 27.8 6.2 5.0 3.4 29.0 32.0 13,148
Scheduled tribe 13.1 24.8 5.6 4.5 2.9 25.8 28.8 5,520
Other 10.2 17.1 4.6 3.5 2.3 18.2 20.9 17,108
Don't know 6.4 17.2 3.3 2.6 0.9 17.9 19.0 438
Wealth quintile
Lowest 16.1 30.6 8.6 6.9 4.7 32.2 35.0 12,113
Second 13.8 28.1 6.3 5.3 3.2 29.2 32.0 13,231
Middle 12.8 23.8 4.7 3.9 2.6 24.6 27.8 13,260
Fourth 10.0 18.5 3.6 2.8 1.9 19.3 21.9 12,886
Highest 7.5 12.7 2.7 2.0 1.3 13.4 15.9 10,892
Total 12.2 23.0 5.2 4.2 2.8 24.0 26.8 62,381

1 Includes only emotional violence by current or most recent husband. Information on emotional violence by other husbands not collected.
2 Nuclear households are households comprised of a married couple or a man or a woman living alone or with unmarried children (biological,
663
Table 15.11 Spousal violence by background characteristics
Percentage of ever-married women age 18-49 who have ever experienced emotional, physical, or sexual violence
committed by their husband, according to background characteristics, India 2019-21
Emotional,
Physical or physical or
Emotional Physical Sexual sexual sexual Number of
Background characteristic violence violence violence violence violence women
Age
18-19 10.5 18.8 7.1 20.9 24.6 1,475
20-24 12.2 24.3 5.4 25.4 28.2 7,923
25-29 13.4 27.1 6.2 28.0 30.7 10,757
30-39 14.4 29.4 6.7 30.2 32.8 23,128
40-49 15.0 29.9 6.1 30.8 33.7 19,098
Residence
Urban 12.2 23.8 4.8 24.5 27.3 19,173
Rural 14.9 30.3 6.9 31.2 34.0 43,208
Schooling
No schooling 17.9 37.1 8.4 38.1 40.6 17,887
<5 years complete 16.2 31.3 8.8 32.7 35.7 4,660
5-7 years complete 14.8 30.6 6.5 31.3 33.9 9,801
8-9 years complete 12.1 25.6 5.5 26.8 29.3 9,533
10-11 years complete 13.1 24.4 5.2 25.1 28.7 8,324
Marital status
Widowed/divorced/

0 12.9 19.4 5.3 20.3 23.6 5,460
1-2 13.3 25.8 5.6 26.7 29.5 35,518
3-4 15.5 34.0 7.0 34.9 37.4 17,652
5 or more 15.7 37.6 10.5 38.9 41.0 3,752
Nuclear 14.8 31.0 6.9 32.0 34.6 30,740
Non-nuclear 13.3 25.7 5.7 26.5 29.3 31,641
Religion
Hindu 14.2 29.1 6.2 29.9 32.7 49,365
Muslim 13.7 26.2 7.3 27.5 30.3 9,993
Christian 13.3 22.0 4.6 22.8 26.3 1,610
Sikh 6.7 10.3 3.0 10.9 12.4 489
Jain 2.1 20.2 0.6 20.2 20.2 136
Other 7.6 24.3 6.5 25.3 26.4 172
Caste/tribe
Scheduled caste 16.9 33.7 7.4 34.7 37.3 13,148
Scheduled tribe 15.2 30.9 6.7 31.8 34.7 5,520
Other 12.3 21.6 5.7 22.6 25.6 17,108
Don't know 7.7 22.5 6.1 23.4 24.2 438
Continued…
664
Table 15.11 Spousal violence by background characteristics—Continued
Percentage of ever-married women age 18-49 who have ever experienced emotional, physical, or sexual violence
committed by their husband, according to background characteristics, India 2019-21
Emotional,
Wealth quintile
Lowest 18.6 36.9 10.2 38.4 41.2 12,113
Second 16.0 34.3 7.8 35.2 37.9 13,231
Middle 14.6 28.9 5.7 29.7 32.7 13,260
Fourth 11.7 23.4 4.3 24.2 26.7 12,886
Highest 8.8 16.5 3.1 16.9 19.7 10,892
Respondent's father beat her mother

Yes 26.3 53.2 11.9 54.4 57.7 11,814
No 11.0 21.9 4.7 22.7 25.3 48,656
Don't know 16.5 36.6 10.7 37.9 41.0 1,911
Total 14.0 28.3 6.3 29.2 31.9 62,381
Note: Husband refers to the current husband for currently married women and the most recent husband for widowed, divorced, separated,
or deserted women.
1
665
Table 15.12 Spousal violence by husband's characteristics and empowerment indicators
Percentage of ever-married women age 18-49 who have ever experienced emotional, physical, or sexual violence committed
by their husband, according to his characteristics, marital characteristics, and selected empowerment indicators, India 2019-
21
Emotional,
Husband's schooling
No education 19.7 38.8 9.4 39.9 42.8 12,154
<5 years complete 17.0 34.7 8.5 35.6 38.4 5,010
5-7 years complete 15.5 30.3 7.1 31.5 34.3 9,263
8-9 years complete 13.6 28.6 6.8 29.7 32.6 10,183
10-11 years complete 12.0 25.0 4.1 25.6 28.4 10,453
Missing 19.3 32.6 7.7 32.6 35.0 231
Husband's alcohol consumption

Does not drink 10.3 21.7 4.0 22.5 25.3 47,500
Drinks/never gets drunk 13.3 31.8 6.3 33.0 34.9 920
Gets drunk sometimes 21.5 45.2 10.9 46.4 49.3 10,969
Gets drunk very often 47.2 69.9 25.5 70.6 73.3 2,993
Spousal age difference1

Wife older 9.6 21.0 6.3 21.9 24.4 1,348
Wife is same age 9.1 21.1 3.7 21.5 23.1 2,193
Wife's 1-4 years younger 12.6 27.3 6.4 28.3 30.6 23,609
Wife's 5-9 years younger 14.2 28.4 5.6 29.2 32.5 22,962
Wife's 10+ years younger 14.1 27.1 5.3 28.2 31.4 8,499
Spousal schooling difference

Husband has more schooling 12.9 27.7 5.9 28.6 31.1 27,552
Wife has more schooling 14.3 27.1 6.3 28.1 31.0 16,508
Both have equal schooling 11.3 21.4 4.5 22.2 25.6 9,393
Neither attended school 19.9 39.7 9.3 40.5 43.2 8,697
Don't know/missing 19.3 32.6 7.7 32.6 35.0 231
Number of marital control behaviours

displayed by husband2
0 4.3 15.6 1.6 16.1 17.3 33,634
1-2 15.9 35.4 7.0 36.8 40.4 17,303
3-4 30.8 49.3 14.2 50.7 56.3 7,978
5-6 60.4 67.2 30.2 68.6 75.4 3,466
Number of decisions in which

women participate3
0 21.4 33.3 9.9 34.5 38.9 6,620
1-2 16.4 31.8 7.9 33.3 36.8 10,659
3 11.1 25.2 4.7 26.0 28.2 41,332
Number of reasons for which

wife beating is justified4
0 9.5 20.1 4.3 20.9 23.0 31,707
1-2 15.6 32.4 6.2 33.4 36.8 12,793
3-4 20.8 40.5 9.5 41.4 45.0 10,172
5-6 20.8 39.8 10.0 41.1 44.1 4,850
7 22.1 37.2 11.4 38.6 42.4 2,861
Continued…
666
Table 15.12 Spousal violence by husband's characteristics and empowerment indicators—Continued
Percentage of ever-married women age 18-49 who have ever experienced emotional, physical, or sexual violence committed
by their husband, according to his characteristics, marital characteristics, and selected empowerment indicators, India 2019-
21
Emotional,
Number of reasons given for refusing to

have sexual intercourse with husband5
0 15.7 26.6 7.8 27.4 30.9 4,190
1-2 19.1 31.5 9.6 33.1 37.6 8,589
3 13.0 27.9 5.6 28.6 31.0 49,602

Most of the time 34.8 54.2 18.7 55.6 58.6 7,321
Sometimes 13.4 29.9 5.5 30.8 33.8 39,638
Never 5.9 11.8 2.3 12.5 14.6 15,422
Total 14.0 28.3 6.3 29.2 31.9 62,381
Note: Husband refers to the current husband for currently married women and the most recent husband for widowed, divorced, separated,
or deserted women.
1
Currently married women only
2
See Table 15.8 for list of marital control behaviours included
3
Currently married women only. See Table 14.7.1 for a list of decisions included.
4
See Table 14.14.1 for a list of reasons given for which wife beating is justified
5
See Table 14.16.1 for a list of reasons given for refusing to have sexual intercourse with husband
667
Table 15.13 Spousal violence by state/union territory
Percentage of ever-married women age 18-49 who have ever experienced emotional, physical, or sexual
violence committed by their husband, by state/union territory, India 2019-21
Emotional,
Physical or physical
Emotional Physical Sexual sexual or sexual
State/union territory violence violence violence violence violence
India 14.0 28.3 6.3 29.2 31.9
North
Chandigarh 4.5 9.7 2.3 9.7 11.8
Delhi 13.1 20.4 7.2 22.5 25.8
Haryana 10.2 16.7 4.2 17.9 20.6
Jammu & Kashmir 7.2 9.3 3.9 9.7 12.8
Ladakh 18.7 16.9 7.7 17.7 27.7
Punjab 7.8 11.0 2.7 11.6 13.4
Rajasthan 9.4 23.1 5.4 24.1 26.3
Uttarakhand 8.0 15.2 3.4 15.3 17.8
Central
Chhattisgarh 6.1 19.3 4.9 20.1 21.0
Madhya Pradesh 14.8 27.4 5.8 28.0 31.0
Uttar Pradesh 12.9 34.1 6.6 34.9 37.3
East
Bihar 17.0 39.2 8.1 40.1 42.5
Jharkhand 11.6 30.2 6.6 31.4 32.8
Odisha 9.9 29.3 5.3 30.3 32.4
West Bengal 16.3 25.1 9.0 26.9 29.7
Northeast
Assam 11.8 31.3 7.3 32.2 34.3
Manipur 11.0 38.5 5.0 39.6 41.6
Meghalaya 13.7 13.2 6.2 15.0 21.1
Mizoram 5.9 9.9 1.9 10.3 11.9
Nagaland 7.6 6.1 0.9 6.5 11.0
Sikkim 14.6 10.6 3.1 12.4 21.3
Tripura 11.4 19.3 6.2 20.7 23.2
West
Daman & Diu 7.1 16.8 3.2 16.8 17.7
Goa 6.3 6.7 4.6 8.3 9.7
Gujarat 7.3 13.0 3.4 13.9 16.1
Maharashtra 12.9 24.4 5.7 25.2 28.2
South
Andhra Pradesh 14.9 29.6 3.6 29.9 33.4
Karnataka 24.8 43.4 10.8 44.4 48.4
Kerala 6.8 9.4 1.5 9.8 12.9
Lakshadweep 0.5 0.5 0.8 1.3 1.3
Puducherry 7.9 29.3 1.4 30.0 31.0
Tamil Nadu 11.0 37.9 2.4 38.1 39.7
Telangana 18.6 36.7 4.5 37.2 40.4
Note: Husband refers to the current husband for currently married women and the most recent husband for widowed,
divorced, separated, or deserted women.
668
Table 15.14 Experience of spousal violence by duration of marriage
Among currently married women age 18-49 who have been married only once, the percentage who first experienced
physical or sexual violence committed by their current husband by specific exact years since marriage, according to marital
duration, India 2019-21
Percentage who Number of

Percentage whose first experience of spousal physical
have not currently married
or sexual violence by exact marital duration
experienced women who
Before sexual or physical have been
Duration of marriage marriage 2 years 5 years 10 years violence married only once
Years since marriage

<2 0.5 na na na 86.5 3,564
2-4 1.0 13.2 na na 78.2 5,644
5-9 1.3 11.7 23.9 na 72.9 9,772
10 or more 1.4 10.8 21.2 26.0 69.3 38,783
Total 1.3 11.2 20.9 24.6 71.9 57,762
na = Not available
669
Table 15.15 Injuries to women due to spousal violence
Percentage of ever-married women age 18-49 who have experienced specific types of spousal violence by types of injuries resulting from what
their husband did to them, by residence according to the type of violence and whether they have experienced the violence ever and in the 12
months preceding the survey, India 2019-21
Percentage of women who have had:

Deep wounds,
Eye injuries, broken bones,
sprains, broken teeth, Number of
Cuts, bruises, dislocations, or or any other Any of these ever-married
Type of violence experienced or aches Severe burns minor burns serious injury injuries women
URBAN
Experienced physical violence

Ever1 21.9 3.5 7.3 6.7 24.6 4,563
In the past 12 months 23.8 3.9 7.6 7.4 26.7 3,625
Experienced sexual violence

Ever1 41.8 13.3 19.6 19.2 47.1 926
In the past 12 months 42.7 13.6 19.8 19.0 48.1 784
Experienced physical or sexual violence

Ever1 21.3 3.4 7.1 6.5 24.0 4,708
Experienced physical and sexual violence

Ever1 49.0 15.6 23.1 22.5 54.8 781
In the past 12 months 51.4 17.2 25.1 24.0 57.7 609
RURAL

Ever1 22.5 3.4 7.5 6.2 25.6 13,080

Ever1 37.9 8.4 18.1 16.2 43.7 3,009

Ever1 22.0 3.3 7.4 6.1 25.1 13,501

Ever1 42.8 9.6 20.5 18.5 49.3 2,588
TOTAL

Ever1 22.3 3.4 7.4 6.4 25.3 17,643

Ever1 38.9 9.5 18.5 16.9 44.5 3,935

Ever1 21.8 3.3 7.3 6.2 24.8 18,208

Ever1 44.2 11.0 21.1 19.5 50.6 3,369
Note: Husband refers to the current husband for currently married women and the most recent husband for widowed, divorced, separated, or deserted women.
1
Includes violence in the past 12 months
670
Table 15.16 Violence by women against their husband
Percentage of ever-married women age 18-49 who have committed physical violence against
their husband when he was not already beating or physically hurting them ever and in the past
12 months, according to women's own experience of spousal violence and their own and their
husband's characteristics, India 2019-21
Percentage who have committed

physical violence against their current
or most recent husband
In the past Number of
Characteristics Ever 12 months women
Woman's experience of spousal

physical violence
Ever 10.0 8.8 17,643
In the last 12 months 10.9 10.1 14,328
Not last 12 months 6.1 3.2 3,314
Never 1.0 0.9 44,739
Age
18-19 0.8 0.7 1,475
20-24 2.9 2.7 7,923
25-29 3.4 2.9 10,757
30-39 3.9 3.5 23,128
40-49 3.7 3.2 19,098
Residence
Urban 3.3 2.9 19,173
Rural 3.7 3.2 43,208
Schooling
No schooling 4.5 4.0 17,887
<5 years complete 4.7 4.3 4,660
5-7 years complete 3.5 3.1 9,801
10-11 years complete 3.3 2.7 8,324
12 or more years complete 2.2 1.9 12,175
Husband's schooling
No education 5.6 5.1 12,154
<5 years complete 4.6 4.1 5,010
8-9 years complete 3.3 2.8 10,183
10-11 years complete 2.8 2.5 10,453
12 or more years complete 2.3 2.0 15,088
Missing 2.8 2.8 231
Husband's alcohol consumption

Does not drink 1.9 1.7 47,500
Drinks/never gets drunk 4.2 4.0 920
Gets drunk sometimes 6.5 5.7 10,969
Gets drunk very often 18.4 16.5 2,993
Spousal age difference1

Wife older 3.1 2.7 1,348
Wife is same age 2.9 2.5 2,193
Wife 1-4 years younger 3.3 3.0 23,609
Wife 5-9 years younger 3.5 3.2 22,962
Wife 10 or more years younger 3.0 2.7 8,499
Continued…
671
Table 15.16 Violence by women against their husband—Continued
Percentage of ever-married women age 18-49 who have committed physical violence against
their husband when he was not already beating or physically hurting them ever and in the past
12 months, according to women's own experience of spousal violence and their own and their
husband's characteristics, India 2019-21
Percentage who have committed

physical violence against their current
or most recent husband
In the past Number of
Characteristics Ever 12 months women
Spousal schooling difference

Husband has more schooling 3.1 2.7 27,552
Wife has more schooling 3.7 3.2 16,508
Both have equal schooling 2.8 2.4 9,393
Neither attended school 5.6 5.1 8,697
Don't know/missing 2.8 2.8 231
Nuclear 3.9 3.4 30,740
Non-nuclear 3.3 2.9 31,641
Religion
Hindu 3.6 3.2 49,365
Muslim 3.2 2.7 9,993
Christian 3.3 2.7 1,610
Sikh 2.2 1.9 489
Buddhist/Neo-Buddhist 5.5 4.9 615
Jain 1.4 1.4 136
Other 4.1 3.3 172
Caste/tribe
Scheduled caste 4.8 4.3 13,148
Scheduled tribe 3.6 3.0 5,520
Other backward class 3.6 3.2 26,168
Other 2.7 2.2 17,108
Don't know 0.8 0.4 438
Wealth quintile
Lowest 4.4 3.8 12,113
Second 4.3 3.9 13,231
Middle 3.8 3.5 13,260
Fourth 2.9 2.6 12,886
Highest 2.1 1.7 10,892
Respondent's father beat

her mother
Yes 8.2 7.3 11,814
No 2.4 2.1 48,656
Don't know 4.4 3.2 1,911

Most of the time 10.0 8.9 7,321
Sometimes 3.1 2.8 39,638
Never 1.8 1.3 15,422
Total 3.6 3.1 62,381
Note: Husband refers to the current husband for currently married women and the most recent husband for
widowed, divorced, separated, or deserted women.
1
Currently married women
2
Nuclear households are households comprised of a married couple or a man or a woman living alone or with
unmarried children (biological, adopted, or fostered) with or without unrelated individuals. The remaining
households are non-nuclear households.
672
Table 15.17 Help seeking
Percent distribution of women age 18-49 who have ever experienced physical or sexual violence by whether they have told anyone
about the violence and whether they have ever sought help from any source, according to type of violence and background
characteristics, India 2019-21
Never sought help Have sought

Never told Told help from any Number of
Background characteristic anyone someone source Total women
Residence
Urban 73.2 11.0 17.2 100.0 5,657
Rural 78.6 9.1 13.0 100.0 15,518
Marital status
Never married 85.5 13.7 15.6 100.0 1,147
Married, gauna not performed * * * 100.0 2
Widowed/divorced/separated/deserted 59.5 15.7 24.8 100.0 1,700
Schooling
No schooling 78.2 8.5 13.6 100.0 7,321
<5 years complete 75.1 8.7 16.4 100.0 1,636
5-7 years complete 77.8 10.1 12.2 100.0 3,452
8-9 years complete 75.5 10.3 14.5 100.0 3,031
10-11 years complete 74.9 11.5 14.1 100.0 2,541
Nuclear 77.4 9.5 14.0 100.0 11,388
Non-nuclear 76.9 9.6 14.2 100.0 9,787
Religion
Hindu 77.2 9.5 14.1 100.0 17,130
Muslim 76.8 9.8 13.8 100.0 3,178
Christian 74.6 9.0 16.9 100.0 474
Sikh 71.9 10.6 18.2 100.0 78
Jain 106.2 0.0 3.2 100.0 31
Other 86.3 26.2 4.7 100.0 72
Caste/tribe
Scheduled caste 77.9 8.7 14.4 100.0 5,179
Scheduled tribe 75.6 9.2 16.0 100.0 2,033
Other 77.8 9.6 14.0 100.0 4,658
Don't know 78.8 5.5 15.8 100.0 116
Continued…
673
Table 15.17 Help seeking—Continued
Percent distribution of women age 18-49 who have ever experienced physical or sexual violence by whether they have told anyone
about the violence and whether they have ever sought help from any source, according to type of violence and background
characteristics, India 2019-21
Never sought help Have sought

Never told Told help from any Number of
Background characteristic anyone someone source Total women
Wealth quintile
Lowest 78.0 8.9 13.6 100.0 5,157
Second 80.1 8.4 12.2 100.0 5,346
Middle 75.2 10.2 15.3 100.0 4,642
Fourth 76.8 10.8 13.7 100.0 3,756
Highest 73.0 10.4 18.3 100.0 2,274
Type of violence
Physical only 79.4 9.0 11.7 100.0 17,006
Sexual only 99.5 6.5 9.5 100.0 567
Both physical and sexual 63.2 12.9 26.3 100.0 3,602
Persons who committed the violence

Current husband only 80.1 8.6 11.3 100.0 14,410
Any previous husband only 60.0 16.4 23.6 100.0 1,423
Any husband and others 62.4 11.4 26.2 100.0 2,367
Own family members only 84.1 8.7 10.8 100.0 2,408
Person(s) other than husband or own family 91.4 14.3 19.0 100.0 360
Missing 50.2 14.8 35.6 100.0 207
Total 77.2 9.6 14.1 100.0 21,175
Note: An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been suppressed.
1
674
Table 15.18 Sources from where help was sought
Percentage of women age 18-49 who have ever experienced physical or sexual violence
and have sought help from any source by source from which help was sought, according
to the type of violence experienced, India 2019-21
Type of violence
Both
Physical Sexual physical and
Source1 only only sexual Total
Own family 62.2 58.4 58.3 60.9

Husband's family 30.4 13.9 28.1 29.3
Current/former husband 1.0 3.6 1.9 1.3
Current/former boyfriend 0.4 1.1 0.3 0.4
Friend 15.4 24.3 18.7 16.6
Neighbour 7.8 3.6 9.7 8.3
Religious leader 2.6 0.5 2.0 2.4
Doctor/medical personnel 2.7 1.2 1.7 2.4
Police 5.4 4.7 8.2 6.3
Lawyer 2.4 0.0 1.6 2.1
Social service organization 3.3 0.0 2.2 2.9
Other 2.1 0.0 0.8 1.7
Number of women 1,983 54 949 2,986

1
Women can report more than one source from which they sought help.
675
LIST OF CONTRIBUTORS
Dr. K.S. James, Director & Sr. Professor, International Institute for Population Sciences, Govandi Station Road, Deonar,
Mumbai – 400 088, Maharashtra, India
Dr. S.K. Singh, Professor & Head, Department of Survey Research & Data Analytics, International Institute for Population
Sciences, Govandi Station Road, Deonar, Mumbai – 400 088, Maharashtra, India
Dr. Hemkhothang Lhungdim, Professor & Head, Department of Public Health & Mortality Studies, International Institute for
Population Sciences, Govandi Station Road, Deonar, Mumbai – 400 088, Maharashtra, India
Dr. Chander Shekhar, Professor, Department of Fertility & Social Demography, International Institute for Population Sciences,
Govandi Station Road, Deonar, Mumbai – 400 088, Maharashtra, India
Prof. Laxmi Kant Dwivedi, Assistant Professor, Department of Survey Research & Data Analytics, International Institute for
Population Sciences, Govandi Station Road, Deonar, Mumbai – 400 088, Maharashtra, India
Dr. Sarang Pedgaonkar, Assistant Professor, Department of Family & Generations, International Institute for Population
Sciences, Govandi Station Road, Deonar, Mumbai – 400 088, Maharashtra, India
Dr. Fred Arnold, Technical Deputy Director, The Demographic and Health Surveys Program, ICF, Maryland 20850, USA
&ŽƌĂĚĚŝƟŽŶĂůŝŶĨŽƌŵĂƟŽŶ͕ƉůĞĂƐĞĐŽŶƚĂĐƚ͗
&ŽƌĂĚĚŝƟŽŶĂůŝŶĨŽƌŵĂƟŽŶ͕ƉůĞĂƐĞĐŽŶƚĂĐƚ͗
Director
Director
General
General
(Stats.)
(Stats.) Director
Director
Ministry
Ministry of of
Health
Health
andandFamily
Family
Welfare
Welfare International
International
Institute
Institute
forfor
Population
Population
Sciences
Sciences
Government
Government of of
India
India Govandi
GovandiStation
Station
Road,
Road,Deonar,
Deonar,
Statistics
Statistics
Division
Division Mumbai
Mumbai – 400088
– 400088(India)
(India)
(NFHS - 5)
Indian
IndianRedRedCross
Cross
Society
SocietyBuilding,
Building, Telephone:
Telephone:022022
– 42372467
– 42372467
New
New Delhi
Delhi
- 110001
- 110001(India)
(India) Email:
Email:
director@iipsindia.ac.in
director@iipsindia.ac.in
Telephone:
Telephone: 011-
011-
23736979
23736979
Email:
Email:sandhya.k@nic.in
sandhya.k@nic.in
Technical
Technical
assistance
assistance
andand
additional
additional
funding
funding
for for
NFHS-5
NFHS-5 waswas
provided
provided
by the
by the
USAID-
USAID-supported
supported
Demographic
Demographicandand
Health
Health
Surveys
Surveys
(DHS)
(DHS)
program,
program,
ICF,ICF,
USA.
USA.
TheThe
contents
contents
of this
of this
publication
publication
do not
do not
necessarily
necessarily
reflect
reflect
the the
views
views
of USAID
of USAID
or the
or the
United
United
States
States
Government.
Government.
TheThe
opinions
opinions
in this
in this
publication
publication
do do
notnot
necessarily
necessarily
reflect
reflect
thethe
views
views
of the
of the
funding
funding
agencies.
agencies.
ForFor
additional
additional
information
information
on on
NFHS-5,
NFHS-5,
visit
visit
https://www.iipsindia.ac.in
https://www.iipsindia.ac.in
or or
https://main.mohfw.gov.in
https://main.mohfw.gov.in

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TABLES AND FIGURES ............................................................................................................................................

CHAPTER 1 INTRODUCTION ............................................................................................................................

CHAPTER 2 HOUSEHOLD POPULATION AND HOUSING CHARACTERISTICS ..................................

2.1 Drinking Water Sources and Treatment .............................................................................................

CHAPTER 1 INTRODUCTION .......................................................................................................................... 1

1.1 Survey Objectives ............................................................................................................................ 2

CHAPTER 2 HOUSEHOLD POPULATION AND HOUSING CHARACTERISTICS ...............................17

2.1 Drinking Water Sources and Treatment ..........................................................................................18

3.1 Basic Characteristics of Survey Respondents .................................................................................79

4.1 Current Fertility .............................................................................................................................111

CHAPTER 5 FAMILY PLANNING ................................................................................................................157

5.1 Contraceptive Knowledge and Use ...............................................................................................157

CHAPTER 6 OTHER PROXIMATE DETERMINANTS OF FERTILITY ................................................207

6.1 Marital Status ................................................................................................................................207

CHAPTER 7 INFANT AND CHILD MORTALITY ......................................................................................241

7.1 Infant and Child Mortality.............................................................................................................242

CHAPTER 8 MATERNAL HEALTH ..............................................................................................................259

8.1 Pregnancy Registration .................................................................................................................260

CHAPTER 9 CHILD HEALTH ........................................................................................................................323

9.1 Birth Weight ..................................................................................................................................324

CHAPTER 10 NUTRITION AND ANAEMIA ..................................................................................................373

10.1 Nutritional Status of Children .......................................................................................................374

CHAPTER 11 MORBIDITY AND HEALTH CARE .......................................................................................443

11.1 Tuberculosis ..................................................................................................................................443

CHAPTER 12 OTHER ADULT HEALTH ISSUES .........................................................................................487

CHAPTER 13 HIV/AIDS-RELATED KNOWLEDGE, ATTITUDES, AND BEHAVIOUR .......................517

13.1 HIV/AIDS Knowledge, Transmission, and Prevention Methods ..................................................518

CHAPTER 14 WOMEN’S EMPOWERMENT.................................................................................................581

14.1 Currently Married Women’s and Men’s Employment ..................................................................582

15.1 Measurement of Violence .............................................................................................................642

CHAPTER 1 INTRODUCTION ......................................................................................................... 1

Table 1.1 Results of the household and individual interviews ....................................................... 13

Figure 1.1 Data Collection System .................................................................................................... 8

CHAPTER 2 HOUSEHOLD POPULATION AND HOUSING CHARACTERISTICS ............. 15

Table 2.1 Household drinking water .............................................................................................. 31

Figure 2.1 Household Drinking Water by Residence ...................................................................... 18

CHAPTER 3 CHARACTERISTICS OF RESPONDENTS .......................................................... 79

Table 3.1 Background characteristics of respondents .................................................................... 86

Figure 3.1 Education of Survey Respondents .................................................................................. 82

CHAPTER 4 FERTILITY AND FERTILITY PREFERENCES ................................................ 111

Table 4.1 Current fertility............................................................................................................. 123

Figure 4.1 Trends in Fertility by Residence .................................................................................. 112

CHAPTER 5 FAMILY PLANNING .............................................................................................. 157

Table 5.1 Knowledge of contraceptive methods .......................................................................... 167

Figure 5.1 What Contraceptive Methods do Women Use? ........................................................... 158

CHAPTER 6 OTHER PROXIMATE DETERMINANTS OF FERTILITY .............................. 207

Table 6.1 Current marital status ................................................................................................... 215

Figure 6.1 Marital Status ............................................................................................................... 208

CHAPTER 7 INFANT AND CHILD MORTALITY .................................................................... 241

Table 7.1 Early childhood mortality rates .................................................................................... 247

Figure 7.1 Trends in Early Childhood Mortality Rates ................................................................. 242

CHAPTER 8 MATERNAL HEALTH ............................................................................................ 259

Figure 8.1 Trends in Antenatal Coverage ...................................................................................... 261

CHAPTER 9 CHILD HEALTH ...................................................................................................... 323

Table 9.1 Child's weight and size at birth .................................................................................... 337

Figure 9.1 Childhood Vaccinations ............................................................................................... 325

CHAPTER 10 NUTRITION AND ANAEMIA ................................................................................ 373