2018 Rset

2018
Regional Social
& Economic Trends
The Regional Social and Economic Trends (RSET) – Cordillera Administrative Region
is an annual publication prepared by the
PHILIPPINE STATISTICS AUTHORITY
Regional Statistical Services Office – CAR
For technical inquiries, please contact us at: (6374) 442-7449

or email us at socd_psacar@yahoo.com.
TERMS OF USE OF PSA PUBLICATIONS

The PSA-CAR reserves its exclusive right to reproduce all its publications in whatever form.  Any part of this
publication should not be reproduced, recopied, lend or repackaged for other parties for any commercial purposes
without written permission from the PSA-CAR.  Any part of this publication may only be reproduced for internal
use of the recipient/customer company.  Should any portion of the data in this publication are to be included in a
report/article, the source of the data, the title of the publication and the PSA-CAR as publisher should always be
cited.  Any information derived from the manipulation of data contained in the publication will no longer be the
responsibility of PSA-CAR.
ISSN 1656-040X
Published by the
Philippine Statistics Authority -
Cordillera Administrative Region
3/F CTLL Building, 141 Abanao Extension
Rizal Monument, 2600 Baguio City
Philippines.
August 2018
The RSET-CAR is available in printed and electronic formats

(Excel/Word/PDF in CDRom).
Back issues of this publication are available for purchase.
For details, please contact us at (6374) 442-7449 or at
socd_psacar@yahoo.com.
FOREWORD
Now on its 19th edition, the Regional Social and Economic Trends (RSET) for the
Cordillera Administrative Region (CAR) has proven to be very useful for planning and
decision-making and for setting policies towards effective governance and improved
service delivery at the local level. The Philippine Statistics Authority (PSA), through its
Regional Statistical Services Offices (RSSOs), continues to update and publish local level
statistics designed to address the varied statistical needs of planners and policy makers
at the subnational level.
The RSET, a compendium of local level statistics, presents annual time series data on
various sectors of the region and its component provinces, cities, and municipalities. It
also contains data that are disaggregated in different dimensions and includes a glossary
of terms of official concepts and definitions for statistical purposes.
This edition of the RSET includes summary table of the Sustainable Development Goal
(SDG) Indicators and Core Regional Indicators (CoRe-Is) available in this publication. The
2030 Agenda for Sustainable Development and its 17 Sustainable Development Goals
(SDGs) adopted by world leaders in 2015, embody a roadmap for progress that is
sustainable and leaves no one behind. The CoRe-Is consist of priority indicators vital
towards achieving the local development goals.
We gratefully acknowledge the valuable contributions of our various data sources without
whom the publication of the RSET would not have been made possible. We likewise
appreciate the support of our clients who continue to patronize and recognize this
publication as an important tool for evidence-based decision making.
We reiterate our call on our partner agencies to continue our collaboration towards the
empowerment of the countryside by making statistics more available and accessible to
users. To continue improving our statistical products and services, we enjoin both our
data sources and users to share their comments and suggestions to guide us in improving
future editions of the RSET and other publications of the PSA.
LISA GRACE S. BERSALES, Ph. D.

Undersecretary
National Statistician and Civil Registrar General
September 2018
iii
CONTENTS
Foreword iii
Products and Services v
Figure References vi
SDG and CORE-IS in RSET vii
Data Sources x
Symbols Used xi
The Philippine Statistics Authority (PSA) Technical Staff xii
The PSA Regional Statistical Services Office-CAR xiii
Overview 1
Summary of Major Statistical Series 3
Chapter 1 POPULATION AND HOUSING 1-1

Chapter 2 INCOME AND PRICES 2-1
Chapter 3 ECONOMIC ACCOUNTS 3-1
Chapter 4 ENVIRONMENT AND NATURAL RESOURCES 4-1
Chapter 5 AGRICULTURE AND AGRARIAN REFORM 5-1
Chapter 6 ESTABLISHMENT CHARACTERISTICS; INDUSTRY 6-1
Chapter 7 TRADE 7-1
Chapter 8 TOURISM 8-1
Chapter 9 VITAL, HEALTH AND NUTRITION STATISTICS 9-1
Chapter 10 EDUCATION 10-1
Chapter 11 LABOR AND EMPLOYMENT 11-1
Chapter 12 SOCIAL SERVICES 12-1
Chapter 13 TRANSPORTATION AND COMMUNICATION 13-1
Chapter 14 ENERGY AND WATER RESOURCES 14-1
Chapter 15 PUBLIC ADMINISTRATION 15-1
Chapter 16 MONEY AND BANKING 16-1
Chapter 17 PUBLIC ORDER, SAFETY AND JUSTICE 17-1
iv
Products and Services
Products
1. Statistical policies and measures to resolve specific issues and provide policy directions in the
Philippine Statistical System (PSS)
2. The Philippine Statistical Development Program (PSDP) to serve as blueprint of priority programs and
activities to be undertaken to improve the PSS in the Medium Term
3. National Accounts and related economic accounts to assess the economic performance of the country
thru the following:
 National Accounts
 Regional Accounts
 Input-Output (I-O) Accounts
 National Health Accounts
 National Education Accounts
4. Other social and economic indicators

 Poverty statistics
 Environment statistics
 Food balance sheet
 Indicators on children and women
 Gender and development statistics
 Quarterly economic indices
 Foreign direct investments
 Leading economic indicators
 Economic and social impact analysis indicators
 Human development index
5. Standards and classification systems to prescribe uniform standards in government statistics

 Philippine Standard Occupational Classification (PSOC)
 Philippine Standard Commodity Classification (PSCC)
 Philippine Standard Industrial Classification (PSIC)
 Philippine Standard Geographic Code (PSGC)
 Philippine Standard Classification of Education (PSCED)
 Philippine Classification of Commodities by Broad Economic Categories (PCCBEC)
 Philippine Central Product Classification (PCPC)
6. Statistical publications to disseminate the most relevant information produced by the PSS and to make
statistics more accessible to the public
Services
1. Maintenance of a one-stop statistical information center

2. Monitoring of designated statistics
3. Coordination of subnational statistical system
4. Coordination of inter-agency concerns on statistics
5. Survey review and clearance
6. On-line statistical service through the internet (psa.gov.ph, psacordillera.esy.es)
7. Servicing data requests
8. Technical services
9. Advocacy for statistical awareness
 National Statistics Month
 National Convention on Statistics
 Government Statistics Accessibility Program
 Hosting of international conferences in statistics
v
FIGURE REFERENCES
Figure TITLE Reference Table

Number Number
1.1 Ten Most Widely Spoken Dialects in CAR, 2000 1.8B

1.2 Dominant Dialect by Province in CAR, 2000 1.8B
1.3 Population Growth Rate by Province/Region, CAR, 2010 - 2015 1.1
1.4 Number of Households in CAR, 1990 - 2015 1.3A
1.5 Occupied Housing Units and Number of Households by Province, 2010 1.16B
1.6 Usual Manner of Garbage Disposal in CAR, 2010 1.24
2.1 Poverty Incidence of Poor Families by Province, CAR: 2012 and 2015 2.15A
2.2 Poverty Incidence of Poor Population by Province, CAR: 2012 and 2015 2.15B
3.1 Gross Regional Domestic Product by Region at Constant 2000 Prices: 2017 3.2B
3.2 Per Capita Gross Regional Domestic Product by Region at Constant
2000 Prices: 2017 3.4B
3.3 Expenditure on Gross Regional Domestic Product by Region at Constant
2000 Prices: 2016 3.6B
3.4 Per Capita Personal Consumption Expenditure, by Region at Constant
2000 Prices: 2016 3.8B
4.1 Land Use Cover in CAR, as of December 2017 4.2

4.2 Area Reforested by DENR, 2005 - 2015 4.9
5.1 Palay Production and Area Harvested, CAR, 2011 - 2017 5.1
5.2 Corn Production and Area Harvested in CAR, 2011 - 2017 5.2
5.3 Fish Production in CAR, 2011 - 2017 5.7
5.4 Fish Production by Type of Production in CAR, 2011 - 2017 5.8
6.1 Real Estate Sales, in the Philippines: 2002 - 2015 6.3

6.2 Real Estate Sales, CAR: 2002 - 2015 6.3
6.3 Value of Investments in CAR, 2003-2015 6.4
6.4 Value of Construction in CAR, 2003-2015 6.2
7.1 Value of Exports and Imports, CAR, 2003-2013 7.2
8.1 Visitor Arrivals in CAR, 2007 - 2017 8.1

8.2 Visitor Arrivals in CAR by Type of Tourists, 2007 - 2017 8.4
9.1 Number of Registered Marriages by Month in CAR, 2001 - 2014 9.1

9.2 Number of Registered Births in CAR, 2005 - 2015 9.2
vi
Figure TITLE Reference Table
Number Number
10.1 Enrolment in Public and Private Secondary Schools in CAR, 10.2

SY 2002-2003 to SY 2013-2014
10.2 Enrolment in Public and Private Elementary Schools in CAR, 10.2
SY 2002-2003 to SY 2013-2014
11.1 Household Population 15 Years Old and Over by Sex, CAR: 11.1
October Round, 2003 - 2016
11.2 Household Population 15 Years & Over in the Labor Force by Sex, CAR: 11.1
11.3 Employed Persons 15 Years Old and Over by Sex, CAR: 11.1
11.4 Unemployed Persons 15 Years Old and Over by Sex, CAR: 11.1
12.1 Programs and Projects in the Cultural Communities, 2006-2010 12.3

12.2 Number of Disabled Persons by Sex and Type of Disability, CAR: 2000 12.2C
13.1 Motor Vehicles Registered by Major Classification, CAR: 2013-2014 13.1A

13.2 Number of Licenses Issued, by Province: 2016 13.4
13.3 Existing Road Length Share by Engineering District, CAR, 13.5
as of December 2016
13.4 Volume of Delivered Mail by Type, CAR: 2003-2010 13.10
14.1 Area of Irrigated Land by Season, CAR: 2011 - 2016 14.4

14.2 Service Area of Existing Irrigation Systems by Type and Province, 14.6
CAR, As of December 31, 2016
17.1 Crime Rate by Type of Crime, 2006 - 2016 17.1

17.2 Fire Incidence in CAR, 2006 - 2016 17.3
17.3 Number of Persons Arrested, by Province, 2014 - 2016 17.7
17.4 Cases Handled by Type of Case, CAR: 2016 17.6
vii
List of Sustainable Development Goals Indicators (SDGs) and Core Regional Indicators
(CORE-IS) in Regional Social and Economic Trends (RSET)
SDG Reference Table Number/

Page
SDG 1.1.1 Proportion of population below the international poverty Table 2.10B page 2 -17
line, by sex, age, employment status and geographical location and
(urban/rural) Table 2.10D page 2 - 21
SDG 1.2.1 Proportion of population living below the national poverty Table 2.10B page 2 -17
line, by sex and age and
Table 2.10D page 2 - 21
SDG 1.2.2 Proportion of men, women and children of all ages living Table 2.12 page 2 - 24
in poverty in all its dimensions according to national definitions and
Table 2.15 page 2 - 27
SDG 1.5.1 Number of deaths, missing persons and persons Table 17.10 page 17 - 20
affected by disaster per 100,000 people
SDG 2.2.1 Prevalence of stunting (height for age <-2 standard Table 9.19 page 9 – 46
deviation from the median of the World Health Organization (WHO) and
Child Growth Standards) among children under 5 years of age Table 9.20 page 9 - 46
SDG 2.2.2 Prevalence of malnutrition (weight for height >+2 or <-2 Table 9.19 page 9 – 46
standard deviation from the median of the WHO Child Growth and
Standards) among children under 5 years of age, by type (wasting Table 9.20 page 9 - 46
and overweight)
SDG 3.1.1 Maternal mortality ratio Table 9.4B page 9 - 13
SDG 3.1.2 Proportion of births attended by skilled health personnel Table 9.2B page 9 - 6
SDG 3.2.1 Under-five mortality rate Table 9.13 page 9 - 41
SDG 3.2.2 Neonatal mortality rate Table 9.4B page 9 - 13
SDG 3.3.2 Tuberculosis incidence per 1,000 population Table 9.22 page 9 - 47
SDG 7.1.1 Proportion of population with access to electricity Table 14.1 page 14 - 3
SDG 8.1.1 Annual growth rate of real GDP per capita Table 3.1A to Table 3.3B
Page 3 – 4 to 3 - 6
SDG 9.2.2 Manufacturing employment as a proportion of total Table 11.4 page 11 - 10
employment
SDG 10.1.1 Growth rates of household expenditures or income per Table 2.1 page 21
capita among the bottom 40 percent of the population and total
population.
SDG 11.5.1 Number of deaths, missing persons and persons Table 17.10 page 17 - 20
affected by disaster per 100,000 people
SDG 15.1.1 Forest area as a proportion of total land area Table 4.2 page 4 - 5
vii
CORE-IS 1.1 Average (Annual) Family Expenditure Table 2.1 page 2 - 4
CORE-IS 1.2 Average Annual Family Income Table 2.1 page 2 - 4
CORE-IS 1.4 Poverty Incidence among Families Table 2.10A page 2 - 17
CORE-IS 1.5 Poverty Incidence among Population Table 2.10B page 2 - 18
CORE-IS 1.6 Poverty Threshold Table 2.10A and B
CORE-IS 1.7 Subsistence Incidence Among Families Table 2.10C page 2- 19
CORE-IS 1.8 Subsistence Incidence Among Population Table 2.10D page 2 - 21
CORE-IS 1.10 Cohort Survival Rate Table 10.6 page 10 - 14
CORE-IS 1.12 Completion Rate Table 10.6 page 10 - 14
CORE-IS 1.13 Drop Out Rate Table 10.6 page 10 - 14
CORE-IS 1.23 Simple/Basic Literacy Table 10.7A page 10 - 20
CORE-IS 1.25 Enrolment in Non-Formal TVET Programs Table 10.11 page 10 - 30
CORE-IS 1.26 Graduates in Non-Formal TVET Programs Table 10.12 page 10 - 31
CORE-IS 1.27 Employment Rate Table 11.1 page 11 - 3
CORE-IS 1.29 Unemployment Rate Table 11.1 page 11 - 3
CORE-IS 1.32 Proportion of Births Attended by Skilled Health Table 9.2B page 9 - 6
CORE-IS 1.34 Fully Immunized Children Table 9.16 page 9 - 41
CORE-IS 1.35 Prevalence of Malnutrition among 0-5 years old Table 9.19 page 9 - 44
CORE-IS 1.36 Infant Mortality Rate Table 9.13 page 9 - 41
CORE-IS 1.37 Maternal Mortality Rate Table 9.4B page 9 - 13
CORE-IS 1.39 Proportion of TB cases detected under DOTS Table 9.22 page 9 - 45
CORE-IS 1.55 Population Table 1.1 page 1 - 4
CORE-IS 1.56 Population Density Table 1.2 page 1 - 8
CORE-IS 1.57 Population Growth Rate Table 1.1 page 1 - 4
CORE-IS 2.62 Gross Regional Domestic Expenditures Table 3.7B page 3 - 10
CORE-IS 2.63 Gross Regional Domestic Product Table 3.3B page 3 - 6
CORE-IS 2.66 Area of Farm Table 5.4 page 5 - 14
viii
CORE-IS 2.67 Volume of Crops Production Table 5.3 page 5 – 8
CORE-IS 2.68 Volume of Fishery Production Table 5.7 page 5 - 18
CORE-IS 2.71 Consumer Price Index Table 2.22 page 2 - 33
CORE-IS 2.72 Inflation Rate Table 2.22 page 2 - 33
CORE-IS 2.73 Purchasing power of peso Table 2.22 page 2 - 33
CORE-IS 2.75 Total Deposit Liabilities Table 16.3 page 16 - 5
CORE-IS 2.76 Loan Portfolio Table 16.2 page 16 - 4
CORE-IS 2.77 Number of Establishments Table 6.1 page 6 - 3
CORE-IS 2.78 Number of Micro, Small and Medium Enterprises Table 6.1 page 6 - 3
CORE-IS 2.79 Visitor Arrivals Table 8.1 page 8 - 3
CORE-IS 2.80 Volume and Value of Exports Table 7.2 page 7 - 4
CORE-IS 2.81 Volume and Value of Imports Table 7.2 page 7 - 4
CORE-IS 2.82 Mineral Production Table 4.4A and B

Page 4 - 8 to 4 - 9
CORE-IS 2.84 Total Forest Land Table 4.1 page 4 - 3
CORE-IS 2.86 Crime Solution Efficiency Table 17.3 page 17 - 6
CORE-IS 2.87 Crime Volume Table 17.3 page 17 - 6
CORE-IS 2.88 Ratio of Firemen to population Table 17.4 page 17 - 10
CORE-IS 2.89 Number of suppressed fire incidents Table 17.3 page 17 - 8
CORE-IS 2.90 Ratio of policemen to population Table 17.4 page 17 - 10
CORE-IS 2.91 Total Revenue Collections (LGU) Table 15.3 page 15 - 8
CORE-IS 3.96 Length of National Roads Table 13.5 page 13 - 10
CORE-IS 3.97 Number of Driver Permits/Licenses Issued Table 13.4 page 13 - 9
CORE-IS 3.98 Number of Motor Vehicles Registered Table 13.2 page 13 -7
CORE-IS 3.99 Status of Energization Table 14.1 page 14 - 3
ix
DATA SOURCES
Abra Electric Cooperative

Bangko Sentral ng Pilipinas
Benguet Electric Cooperative
Bureau of Customs
Bureau of Fire Protection
Bureau of Internal Revenue
Bureau of Jail Management
Bureau of Labor and Employment Statistics
Bureau of Local Government Finance
Civil Aviation Authority of the Philippines
Commission on Higher Education
Cooperative Development Authority
Department of Agrarian Reform
Department of Budget and Management
Department of Education
Department of Environment and Natural Resources
Department of Health
Department of Labor and Employment
Department of Public Works and Highways
Department of Social Welfare and Development
Department of Tourism
Department of Trade and Industry
Department of Transportation and Communication
Ifugao Electric Cooperative
Kalinga-Apayao Electric Cooperative
Mountain Province Electric Cooperative
Land Transportation Office
Mines and Geosciences Bureau
National Commission on Indigenous Peoples
National Electrification Administration
National Irrigation Administration
National Labor Relations Commission
National Police Commission
National Telecommunications Commission
Parole and Probation Administration
Philippine Atmospheric, Geophysical and Astronomical Services Administration
Philippine Economic Zone Authority
Philippine National Police
Philippine Postal Corporation
Philippine Ports Authority
Philippine Statistics Authority
Public Attorney’s Office, Department of Justice
x
SYMBOLS USED
No. Symbol Meaning
1) CY Calendar Year (January 1 – December 31)

2) SY School Year
3) FY Fiscal Year (July 1 – June 31)
4) n.e.s Not Elsewhere Stated
5) n.e.c. Not Elsewhere Classified
6) p Preliminary
7) r Revised
8) … Data not available
9) * Less than half the unit employed
10) - Nil or zero
11) .. Not applicable
12) MDG icon (attached to the title of a table)
13) SDG icon (attached to the title of a table)
xi
PSA OFFICIALS*
DR. LISA GRACE S. BERSALES

National Statistician and Civil Registrar-General
3/F PSA-CVEA Bldg., East Ave., Quezon City
Telephone: (02) 462-6600 loc 804
E-Mail: l.bersales@psa.gov.ph
CENSUSES AND TECHNICAL SECTORAL STATISTICS

COORDINATION
Asec. ROMEO S. RECIDE
Asec. JOSIE B. PEREZ
Deputy National Statistician
16th Flr., CyberPod Centris Eton Three,
17th Flr. CyberPod Centris Eton Three
EDSA, Quezon City
EDSA, Quezon City
Telephone: (02) 376-1887
Telephone: (02) 376-1862
CIVIL REGISTRATION AND

CENTRAL SUPPORT
Asec. DANIEL ABULENCIA ARIASO, SR.

3/F PSA-CVEA Bldg., East Ave., Quezon City
Telephone: (02) 462-6600 loc 804
Assistant National Statisticians
EDWIN U. ARAGON VIVIAN R. ILARINA

Information Technology & Dissemination Service Macroeconomic Accounts Service
Tel. No. (632) 462-6600 loc. 802, 806, 824 Tel. No. (632) 376-1982
CANDIDO J. ASTROLOGO, JR. DIVINA GRACIA L. DEL PRADO

Standards Service Economic Sector Statistics Service
Tel. No. (632) 462-6600 loc. 809 Tel. No. (632) 376-1984
MINERVA ELOISA P. ESQUIVAS ROSALINDA P. BAUTISTA

National Censuses Service Finance and Administrative Service
Tel. No. (632) 376-1819 Tel. No. (632) 374-8270
WILMA A. GUILLEN EDITHA R. ORCILLA

Social Sector Statistics Service Civil Registration Service
Tel. No. (632) 376-1991 Tel. No. (632) 926-7204
*As of June 2018
xii
This publication was prepared by the
PHILIPPINE STATISTICS AUTHORITY

REGIONAL STATISTICAL SERVICES OFFICE – CAR
STATISTICAL OPERATIONS & COORDINATION DIVISION (SOCD)*

Baguio City, Philippines
socd_pscar@yahoo.com; www.rssocar.psa.gov.ph
VILLAFE P. ALIBUYOG
Regional Director, PSA-CAR
ALDRIN FEDERICO R. BAHIT, JR.

Division Chief, SOCD
CAMILLE CARLA U. BELTRAN

Supervising Statistical Specialist
MA. GINA V. DE GUZMAN JOCELYN O. TAYABAN

Statistical Specialist II Statistical Specialist II
BETINA JOY V. BERMILLO WARREN B. MAMANTEO

Statistical Specialist II Statistical Specialist II
JEZL R. BOADO JEANNIEL I. BARCAYAN

Information Officer Assistant Statistician
DENNIS D. GUNDRAN CHERRY D. KIAW

Assistant Statistician Assistant Statistician
BROZYBROZ Y. MATEO AIMEE M. CABAY

Assistant Statistician Assistant Statistician
WINSKY B. SALISA
Information Systems Analyst
*As of June 2018
xiii
OVERVIEW
The Cordillera Administrative Region (CAR) is the landlocked,

mountainous region of Northern Luzon. It consists of the provinces of Abra,
Apayao, Benguet, Ifugao, Kalinga, Mt. Province, with Baguio City as
administrative, service and trade center. The region’s total land area is
18,293.7 sq. km., or about 6.1 percent of the country’s total land area. CAR
consists of six provinces, one chartered city, one component city, 75
municipalities and 1,176 barangays as of 31 March 2013. The population of
CAR as of August 1, 2015 was 1,722,006 or about 1.7 percent of the
country’s total. CAR’s population grew at the average annual rate of 1.53
percent during the period 2010-2015.
The region is the gateway to the natural wonders of Northern Luzon.

These include the famous Banaue Rice Terraces in Ifugao, which is
considered the “Eighth Wonder of the World” and is included in the UNESCO
World Heritage List. Other natural attractions of the region are the splendid
Sumaguing Cave in Sagada and the mummy caves of Benguet and Mt.
Province. Meanwhile, the province of Kalinga is emerging as the “Ecotourism
Discovery of the Cordilleras.” The distinct culture and colorful traditions of the
indigenous peoples of the Cordillera likewise make the region unique.
CAR is the “Watershed Cradle of Northern Luzon,” and features 13

major watersheds or river basins that supply water not only to the region but
to the adjacent lowland areas in Regions I, II and III as well. This critical
water resource has the potential of meeting the demand for energy and
irrigation of CAR and the rest of Northern Luzon. These watersheds also
feature other vital natural resources such as forest, biodiversity and minerals.
1
SUMMARY OF MAJOR STATISTICAL SERIES
Latest Data Compared to
Percent
Statistical Series Reference Reference
Value Value Change
Period Period
Chapter 1. POPULATION AND HOUSING STATISTICS
1. Population Aug. 1, 2015 1,722,006 May 1, 2010 1,616,867 6.5
2. Sex Distribution Aug. 1, 2015 May 1, 2010
Both Sexes 1,714,220 1,611,669 6.4
Men (percent) 51 51 -
Women (percent) 49 49 -
3. Provincial/City Distribution Aug. 1, 2015 1,722,006 May 1, 2010 1,616,867 6.5
Abra 241,160 234,733 2.7

Apayao 119,184 112,636 5.8
Baguio City 345,366 318,676 8.4
Benguet 446,224 403,944 10.5
Ifugao 202,802 191,078 6.1
Kalinga 212,680 201,613 5.5
Mt.Province 154,590 154,187 0.3
4. Housing Units May 1, 2010 347,362 May 1, 2000 259,890 33.7

Occupied 347,362 259,890 33.7
Vacant … … …
Chapter 2. INCOME AND PRICES
1. Average family income (in pesos) 2015 282,000 2012 257,000 9.7
2. Annual per capita poverty 2015 21,770 2012 19,483 11.7

threshold among poor families (in pesos)
3. Poverty Incidence (percent) (in % pts.)
Families 2015 2012

CAR 14.9 17.5 (2.6)
Abra 19.9 27.2 (7.3)
Apayao 30.9 54.7 (23.8)
Benguet 2.5 2.8 (0.3)
Ifugao 26.1 36.0 (9.9)
Kalinga 30.0 20.9 9.1
Mt. Province 29.5 27.9 1.6
Population 2015 2012

CAR 19.7 22.8 (3.1)
Abra 28.9 37.4 (8.5)
Apayao 34.9 61.4 (26.5)
Benguet 3.5 3.7 (0.2)
Ifugao 32.5 42.4 (9.9)
Kalinga 34.9 26.8 8.1
Mt. Province 39.0 37.6 1.4
3
Percent
Value Value Change
Period Period
4. Poverty Incidence by Basic Sector, CAR (in % pts.)
(percent)
Population 2015 2012

Women 20.6 23.5 (2.9)
Youth 15.8 21.0 (5.2)
Senior Citizens 13.1 14.2 (1.1)
Children 31.0 31.0 -
Urban Poor
Migrant and Formal Sector 11.0 13.2 (2.2)
5. Consumer Price Index for All 2017 2016

items (2006=100)
CAR 144.6 142.0 1.8

Abra 136.6 134.3 1.8
Apayao 132.3 131.6 0.6
Benguet 145.3 143.3 1.4
Ifugao 152.0 147.2 3.3
Kalinga 141.5 138.2 2.3
Mt. Province 155.5 151.5 2.7
a/ Includes household population only
b/ Excludes Baguio City
Chapter 3. ECONOMIC ACCOUNTS
1. Gross Regional Domestic Product 2017 2016

(Thousand pesos)
At Current Prices 272,267,998 242,868,004 12.1
Gross Regional Domestic Product
Agriculture, Hunting, Forestry and Fishing 23,517,943 23,230,975 1.2
Industry 133,994,939 112,949,014 18.6
Services 114,755,115 106,688,015 7.6
At Constant Prices 153,411,322 136,873,913 12.1

Gross Regional Domestic Product
Agriculture, Hunting, Forestry and Fishing 12,698,369 12,085,716 5.1
Industry 80,000,225 67,426,072 18.6
Services 60,712,728 57,362,125 5.8
2. Per Capita GRDP (Pesos) 2017 2016

At Current Prices 147,383 133,791 10.2
At Constant 2000 Prices 83,044 75,401 10.1
Chapter 4. NATURAL RESOURCES
1. Classified and unclassified land 2017 1,865,660 2016 1,865,660 -

area (in hectares)
Alienable and disposable 282,543 282,543 -
Forest Land 1,583,117 1,583,117 -
2. Value of metallic 2017 12,356,354,471 2016 12,459,531,396 (0.8)

mineral production (in pesos)
3. Value of non-metallic 2017 653,696,686 2016 240,571,018 171.7
mineral production (in pesos)
4. Area reforested (in hectares) 2015 28,838.0 2014 25,955.6 11.1
4
Percent
Value Value Change
Period Period
5. Forest destruction (in hectares) 2015 671.3 2014 553.28 21.3
6. Total Annual Rainfall (in millimeters) 2016 2,953.4 2015 4,851.9 (39.1)
Chapter 5. AGRICULTURE AND AGRARIAN REFORM
1. Production of agricultural crops

(in metric tons)
Major Crops 2017 2016
Palay 445,006 382,848 16.2
Corn 242,850 199,355 21.8
Banana 17,983 25,584 (29.7)
Cabbage 54,016 94,728 (43.0)
2. Inventory of livestock and poultry 2017 2017

Cattle 57,796 59,213 (2.4)
Hog 205,264 188,937 8.6
Goat 60,437 63,035 (4.1)
Duck 297,038 248,155 19.7
3. Fish Production 2017 4,148 2016 4,202 (1.3)

(in metric tons)
Aquaculture 2,997 2,964 1.1
4. Land acquisition and distribution 2015 2014

EPs/CLOAs 201 653 (69.2)
Farmer-beneficiaries 225 919 (75.5)
Area (in hectares) 180 699 (74.3)
Chapter 6. ESTABLISHMENT CHARACTERISTICS; INDUSTRIAL SECTOR
1. Value of private building 2017 2016

construction (in thousand pesos) 4,388,499 3,349,088 31.0
Residential 2,483,924 1,995,881 24.5
Non-residential 1,510,063 1,224,757 23.3
Additions/Alterations/Repairs 403,278 128,449 214.0
2. Investments (in million pesos) 2017 1,361 2016 2,223 (38.8)
Chapter 7. DOMESTIC AND FOREIGN TRADE
1. Total exports 2013 639 2012 85 651.8

(F.O.B. value in million US$)
2. Total imports 2013 673 2012 1,162 (42.1)

(F.O.B. value in million US$)
Chapter 8. TOURISM
1. Visitor Arrivals 2017 1,969,707 2016 1,788,648 10.1

Foreign 1,866,927 1,670,484 11.8
Domestic 100,660 117,241 (14.1)
Balikbayans 2,120 923 129.7
2. Average Occupancy Rate of 2010 31.1 2009 35.7 (12.9)
Accommodation facilities (in percent)
5
Percent
Value Value Change
Period Period
Chapter 9. VITAL, HEALTH AND NUTRITION STATISTICS
1. Number of registered marriages 2017 9,247 2016 9,658 (4.3)
2. Number of registered live births 2017 39,557 2016 39,531 0.1
3. Number of registered deaths 2013 7,524 2012 7,510 0.2
4. Bed capacity of government 2015 1,854 2014 2,440 (24.0)

and private hospitals
5. Number of health facilities 2017 2016

Barangay Health Stations 674 690 (2.3)
6. Number of medical practitioners 2017 2016

in LGUs
Doctors 98 102 (3.9)
Dentists 29 32 (9.4)
Nurses 323 331 (2.4)
Midwives 640 716 (10.6)
Chapter 10. EDUCATION
1. Number of government and

private schools
Pre-School SY 2013-2014 1,592 SY 2012-2013 … …
Elementary SY 2013-2014 1,688 SY 2012-2013 1,698 (0.6)
Secondary SY 2013-2014 431 SY 2012-2013 411 4.9
Tertiary SY 2013-2014 55 SY 2012-2013 53 3.8
2. Enrolment in government and

private schools
Pre-School SY 2013-2014 40,393 SY 2012-2013 39,734 1.7
Elementary SY 2013-2014 239,516 SY 2012-2013 241,595 (0.9)
Secondary SY 2013-2014 125,736 SY 2012-2013 122,304 2.8
Tertiary SY 2013-2014 110,288 SY 2012-2013 102,060 8.1
3. Tertiary graduates SY 2014-2015 17,797 SY 2012-2013 16,478 8.0
4. Basic literacy rate in percent 2013 94.9 2003 91.6 3.3
Chapter 11. LABOR AND EMPLOYMENT
1. Total Population 15 Years Old 2017 1,243 2016 1,211 2.7

and Over Population
In the Labor Force 2017 799 2016 800 (0.1)
Employed 769 764 0.7

Unemployed 29 35 (16.7)
6
Percent
Value Value Change
Period Period
Chapter 12. SOCIAL SERVICES
1. Outreach Headcount by Clientele 2015 2014
FHONA 3,353 3,160 6.1

Women - - -
Children 482 815 (40.9)
Disabled 22 43 (48.8)
Senior Citizens 30,884 453 6,717.7
.
2. Number of Disabled Persons 2000 17,321 1995 15,829 9.4
Women 8,425 7,942 6.1

Men 8,896 7,887 12.8
Chapter 13. TRANSPORTATION AND COMMUNICATION
1. Total number of registered motor 2015 115,850 2014 108,819 6.5

vehicles
2. Air Transport 2015 2014
Aircraft movement 434 451 (3.8)

Passenger Traffic 2,086 2,094 (0.4)
Volume of Cargo (in kilograms) 1 - -
3. Number of licensed radio stations 2017 2016
New 992 702 41.3

Renewal 4,067 2,877 41.4
4. Volume of mail handled 2010 3,688,011 2009 4,249,756 (13.2)
Delivered mails 2,453,627 2,634,620 (6.9)

Posted mails 1,234,384 1,615,136 (23.6)
5. Number of telephone subscribers 2014 41,371 2013 41,286 0.2
Chapter 14. ENERGY AND WATER RESOURCES
1. Number of barangays energized 2017 1,112 2015 1,112 -
2. Power distribution (in thousand 2015 485,965 2014 443,591 9.6

megawatt hours)
3. Electric service connections 2015 326,435 2014 312,824 4.4
4. Irrigated land (in hectares)

Wet Season 2016 52,354 2015 51,391 1.9
Dry Season 2016 51,249 2015 51,097 0.3
7
Percent
Value Value Change
Period Period
Chapter 15. PUBLIC ADMINISTRATION
1. Revenue Collections of local

government units 2017 6,698,838,403 2016 5,754,237,204 16.4
Tax on Income and Profit 4,138,391,367 3,365,407,346 23.0
Value-Added Tax 1,802,066,840 1,571,661,529 14.7
Percentage Tax on Services 513,285,454 292,497,478 75.5
Specific Tax 20,331,831 13,899,334 46.3
Other Taxes 224,762,910 510,771,515 (56.0)
2.Statement of expenditures of 2011 9,403.78 2010 9,280.68 1.3

local government units (in
million pesos)
Provincial governments 3,275.24 3,276.63 (0.0)

City government 1,402.94 1,332.58 5.3
Municipal governments 3,678.50 3,621.62 1.6
Barangay governments 1,047.10 1,049.85 (0.3)
Chapter 16. MONEY AND BANKING
1. Number of Banking Institutions 2017 177 2016 165 7.3
2. Deposit Liabilities by Type of Bank 2017 110,175 2016 96,425 14.3

(in million pesos)
Universal and Commercial Banks 97,529 84,463 15.5
Thrift 7,706 7,166 7.5
Rural and Cooperative Banks 4,940 4,796 3.0
Chapter 17. PUBLIC ORDER, SAFETY AND JUSTICE
1. Crime Incidence 2016 2015

CAR 14,734 23,251 (36.6)
Abra 896 1,627 (44.9)
Apayao 296 330 (10.3)
Benguet 4,307 6,197 (30.5)
Ifugao 900 1,354 (33.5)
Kalinga 819 1,727 (52.6)
Mountain Province 551 982 (43.9)
Baguio City 6,965 11,034 (36.9)
2. Fire Incidence 2017 289 2016 407 (29.0)
3. Number of policemen 2010 3,721 2002 2,868 29.7
4. Number of firemen 2009 373 2008 375 (0.5)
5. Clientele assisted by the Public 2016 2015

Attorney's Office
Detention Prisoners Assisted 7,323 6,167 18.7
Benefeciaries of Legal Counseling 32,065 25,905 23.8
Clients Benefitted with Admin. of Oath 34,103 33,957 0.4
6. Number of persons arrested by 2015 6,675 2014 3,128 113.4

the PNP
a/ Excludes Baguio City
8
Chapter 1
POPULATION & HOUSING
Data on size, distribution and demographic characteristics of the population and the
stock and condition of housing units are essential in the planning and decision making
process of governmental instrumentalities and private business alike. The data provide
the bases in determining what, where, how, and when public services and facilities and
interventions should be put in place. The impact of services, programs and projects
implemented are measured vis-à-vis the effects on the socioeconomic well-being of the
populace, as the ultimate beneficiaries of governance and development. Entrepreneurs
and corporate executives and managers in the private sector use the data in making
decisions on the level, form, programming, and distribution of resources that will be
invested. The return of their investments are largely determined by their response to the
market created by the demand of the consumers and readiness to supply goods and
services that satisfy the needs and capabilities of the public.
This chapter presents data series pertaining to the region and by

province/city/municipality, where available. The data series include the population count
during several censuses conducted nationwide as well as the demographic
characteristics, migration patterns and housing units. Projections of the population of the
region from 2010 to 2045, which are estimated based on the results of the population
census and demographic surveys, are also presented. The data sources are the
Philippine Statistics Authority for census data and the collaborative effort of the Inter-
Agency Working Group on Population Projections for the 2010 Census-Based
population projections.
HIGHLIGHTS
• The total population of the Cordillera Administrative Region (CAR) as of

August 1, 2015 was 1,722,006 higher by 105,139 from the 2010 census count.
• The annual population growth rate from 2010-2015 was 1.2 percent, slower than the
previous growth of 2.3 percent in 2010.
• One in every five of the region’s population resided in Baguio City, the
administrative, service and trade center of CAR.
• Baguio City had the highest population density at 6,005.3 persons per square
kilometer or 68 times that of the region.
• Among the six provinces of CAR, Benguet (excluding Baguio) had the largest
population in 2015 at 446,244 while the province of Apayao registered the least
population at 119,184.
1-1
Table 1.1 Population and Growth Rate by Province/City/Municipality, 1-4
Census Years 1980-2015
Table 1.2 Total Population, Land Area and Density by Province/City/ Municipality, 1-8
Table 1.3A Household Population by Sex and Age Group, 1-12

Census Years 1990,1995, 2000, 2007, 2010 and 2015
Table 1.3B Household Population by Sex, Age Group and Province, 1-13
Census Years 1990,1995, 2000, 2007, 2010 and 2015
Table 1.4A Household Population 10 Years Old and Over by Sex, Age Group, 1-20
Marital Status, Census Years 1990,1995, 2000, 2007, 2010 and 2015
Table 1.4B Household Population 10 Years Old and Over by Sex, Age Group, 1-25
Marital Status and Province, Census Years 2000, 2010 and 2015
Table 1.4C Household Population 10 Years Old and Over by Sex, Age Group, 1-43
Marital Status and City, Census Years 1990, 1995, 2000, 2010 and 2015
Table 1.5 Age Dependency Ratio by Province/City, Census Years 1970 - 2015 1-48
Table 1.6 Sex Ratio by Province/City, Census Years 1980-2015 1-49
Table 1.7 Number of Migrants by Sex and Province, 1985-1990 1-49
Table 1.8A Language/Dialect Generally Spoken by Private Households 1-50

by Province/City, Census Year 1995
Table 1.8B Language/Dialect Generally Spoken by Private Households 1-52

by Province/City, Census Year 2000
Table 1.9A Household Population Five Years and Over by Sex and Place of 1-56
Residence 5 Years Ago by Province/City, Census Year 2000
Table 1.9B Household Population Five Years and Over by Sex and Place of 1-57
Residence 5 Years Ago by Province/City, Census Year 2010
Table 1.10 Projected Net Migration Rate by Sex and by Region, 2010-2045 1-58
Table 1.11 Number of In-Migrants by Sex and Area of Origin by Province, 1-59
1985-1990
Table 1.12 Number of Out-Migrants by Sex and Area of Destination by Province, 1-63
1985-1990
Table 1.13A Projected Population of CAR by Sex (Medium Assumption), 2010-2020 1-67
Table 1.13B Population Projections of CAR by Five-Year Interval by Province, 1-67

(Medium Assumption), 2010-2035
Table 1.14 Number of Households and Average Household Size 1-69

by Province/City/Municipality, Census Years 2000, 2010 and 2015
Table 1.15 Number of Occupied by Province/City/Municipality, 1-72

Census Years 1980, 1990, 2000, 2010 and 2015
Table 1.16A Occupied Housing Units, Number of Households and Household 1-74
Population by Type of Building and Province, Census Year 2000
Table 1.16B Occupied Housing Units, Number of Households and Household 1-76
1 - Province,
Population by Type of Building and 2 Census Year 2010
Table 1.16C Occupied Housing Units, Number of Households and Household 1-78
Population by Type of Building and Province, Census Year 2015
Table 1.17A Number of Households in Occupied Housing Units by Type of 1-80

Occupancy, Building Type and Province/City, Census Year 2000
Table 1.17B Number of Households in Occupied Housing Units by Type of 1-82

Occupancy, Building Type and Province/City, Census Year 2010
Table 1.18A Number of Occupied Dwelling Units by Construction Materials of Roofs 1-86
and Outer Walls Materials by Province/City Census Year 2015
Table 1.18B Number of Occupied Dwelling Units by Construction Materials of Roofs 1-88
and Outer Walls Materials by Province/City Census Year 2010
Table 1.18C Number of Occupied Dwelling Units by Construction Materials of Roofs 1-90
and Outer Walls Materials by Province/City, Census Year 2000
Table 1.19A Number of Households in Occupied Dwelling Units by Main Source of Water 1-92
Supply for Drinking by Province/City, Census Years 2010 and 2015
Table 1.19B Number of Households in Occupied Dwelling Units by Main Source of Water 1-95
Supply for Cooking by Province/City, Census Years 2010
Table 1.20 Number of Households in Occupied Dwelling Units by Kind of Lighting 1-98
Used by Province, Urban-Rural, Census Years 1990, 2000, 2010 and 2015
Table 1.21 Number of Households in Occupied Dwelling Units by Kind of 1-99

Cooking Fuel Used by Province, Urban-Rural,
Census Years 1980, 1990, 2000 and 2010
Table 1.22 Number of Households in Occupied Dwelling Units with Household 1-100
Appliances/Conveniences by Province Census Year 2010
Table 1.23 Number of Households in Occupied Dwelling Units by Type of Toilet 1-101
Facility Being Used by Province,
Census Years 1980, 1990, 2000 and 2010
Table 1.24 Number of Households by Usual Manner of Garbage Disposal by 1-103

Province/City/Municipality, Census Year 2010
Table 1.25 Human Development Index by Province, 1997, 2000, 2003, 2006, 2009, 2012 1-106
Table 1.26 Household Population by Ethnicity by Province/City,Census Year 2010 1-108
Figure 1.1 Ten Most Widely Spoken Dialects in CAR, 2000 1-55
Figure 1.2 Dominant Dialect by Province, CAR, 2000 1-55
Figure 1.3 Population Growth Rate by Province/Region, CAR, 2010 - 2015 1-68
Figure 1.4 Number of Households in CAR, 1995-2015 1-71
Figure 1.5 Occupied Housing Units and Number of Households by Province, 2015 1-77
Figure 1.6 Usual Manner of Garbage Disposal in CAR, 2010 1-104
1-3
Table 1.1
POPULATION AND GROWTH RATE BY PROVINCE/CITY/MUNICIPALITY
Province/City 1980 1990 1995
Municipality Total Growth Total Growth Total Growth
Population Rate Population Rate Population Rate
Philippines 48,098,460 2.7 60,703,206 2.4 68,616,536 2.3

CAR 914,432 2.6 1,146,191 2.3 1,254,838 1.7
Abra 160,198 1.7 184,743 1.4 195,964 1.1
Bangued 28,666 2.3 34,184 1.8 35,450 0.7

Boliney 3,060 1.1 3,773 2.1 3,156 (3.3)
Bucay 12,375 1.8 13,346 0.8 14,499 1.6
Bucloc 1,605 2.1 1,932 1.9 1,919 (0.1)
Daguioman 1,254 2.2 1,413 1.2 1,475 0.8
Danglas 2,657 0.7 3,042 1.4 4,285 6.6

Dolores 7,615 2.4 8,577 1.2 9,560 2.1
La Paz 9,205 1.5 11,240 2.0 11,756 0.8
Lacub 2,038 1.1 2,326 1.3 2,202 (1.0)
Lagangilang 9,466 2.1 11,248 1.7 12,023 1.3
Lagayan 3,827 2.6 3,771 (0.1) 3,412 (1.9)

Langiden 2,256 0.6 2,452 0.8 2,729 2.0
Licuan-Baay (Licuan) 3,094 (0.3) 3,697 1.8 3,866 0.8
Luba 4,911 0.8 5,563 1.3 5,559 (0.0)
Malibcong 3,108 2.0 3,494 1.2 3,870 1.9
Manabo 6,590 4.1 7,797 1.7 8,633 1.9

Peñarrubia 4,096 1.9 4,893 1.8 5,048 0.6
Pidigan 7,162 0.8 8,807 2.1 9,098 0.6
Pilar 7,518 0.2 8,451 1.2 9,183 1.6
Sallapadan 4,274 2.2 4,941 1.5 5,303 1.3
San Isidro 3,087 1.1 3,744 1.9 3,842 0.5

San Juan 7,233 0.7 8,445 1.6 8,461 0.0
San Quintin 3,574 1.2 4,293 1.8 4,999 2.9
Tayum 9,621 1.1 11,045 1.4 12,346 2.1
Tineg 2,988 4.2 3,068 0.3 4,312 6.6
Tubo 4,985 4.4 4,589 (0.8) 4,344 (1.0)

Villaviciosa 3,933 0.3 4,612 1.6 4,634 0.1
Apayao 1/ 70,681 3.0 74,720 0.6 83,660 2.1
Calanasan (Bayag) 5,556 (0.6) 10,699 6.8 11,679 1.7

Conner 14,196 3.0 16,220 1.3 17,461 1.4
Flora 12,295 5.6 10,810 (1.3) 12,310 2.5
Kabugao 9,600 1.9 11,198 1.6 12,710 2.4
Luna 13,668 3.9 10,550 (2.6) 12,126 2.6
Pudtol 7,598 3.0 7,621 0.0 8,656 2.4

Santa Marcela 7,768 1.6 7,622 (0.2) 8,718 2.6
Baguio City 119,009 4.1 183,142 4.4 226,883 4.1
1/ Created into a province under R.A. 7878 dated July 25, 1994, ratified May 8, 1995; taken from Kalinga-Apayao.
2/ Sub-province of Mt. Province in 1918, 1939,1948 and 1960; created into a province on June 18, 1966 under
R.A. No. 4695.
4/ Created into a municipality named Paracales on June 16, 1962 under R.A. No. 3488; renamed Paracelis on
June 18, 1966 under R.A. 4738.
Source: Philippine Statistics Authority
1-4
Table 1.1 Continued
2000 2007 2010 2015

Total Growth Total Growth Total Growth Total Growth
Population Rate Population Rate Population Rate Population Rate
76,506,928 2.4 88,566,732 2.0 92,337,852 1.5 100,981,437 1.7

1,365,412 1.8 1,520,743 1.5 1,616,867 2.3 1,722,006 1.2
209,491 1.4 230,953 1.4 234,733 0.6 241,160 0.5
38,965 2.0 46,179 2.4 43,936 (1.8) 48,163 1.8

3,340 1.2 3,349 0.0 4,063 7.3 3,573 (2.4)
14,881 0.6 16,266 1.2 17,126 1.9 17,115 (0.0)
2,109 2.0 2,227 0.8 2,176 (0.8) 2,501 2.7
1,748 3.7 1,916 1.3 1,715 (3.9) 2,088 3.8
4,144 (0.7) 5,411 3.7 4,734 (4.7) 4,192 (2.3)

9,949 0.9 10,787 1.1 11,499 2.4 11,315 (0.3)
12,922 2.0 14,658 1.8 14,882 0.6 15,437 0.7
2,782 5.1 3,050 1.3 2,977 (0.9) 3,403 2.6
12,073 0.1 13,490 1.5 13,824 0.9 14,255 0.6
3,894 2.9 4,134 0.8 4,477 2.9 4,499 0.1

2,998 2.0 3,242 1.1 3,170 (0.8) 3,198 0.2
3,812 (0.3) 3,990 0.6 4,864 7.5 4,689 (0.7)
6,203 2.4 6,363 0.4 6,391 0.2 6,339 (0.2)
3,806 (0.4) 3,354 (1.7) 3,807 4.7 3,428 (2.0)
9,643 2.4 10,538 1.2 10,756 0.7 10,761 0.0

5,515 1.9 6,443 2.2 6,544 0.6 6,640 0.3
10,183 2.4 11,280 1.4 11,528 0.8 12,185 1.1
9,328 0.3 9,792 0.7 9,908 0.4 10,223 0.6
5,497 0.8 6,370 2.1 5,985 (2.2) 6,622 1.9
4,293 2.4 4,647 1.1 4,888 1.9 4,574 (1.3)

8,821 0.9 9,714 1.3 10,546 3.0 9,867 (1.3)
5,130 0.6 5,341 0.6 5,233 (0.7) 5,438 0.7
12,539 0.3 13,360 0.9 13,940 1.6 14,467 0.7
4,995 3.2 4,317 (2.0) 4,668 2.9 5,097 1.7
5,044 3.3 5,588 1.4 5,719 0.8 5,699 (0.1)

4,877 1.1 5,147 0.7 5,377 1.6 5,392 0.1
97,129 3.2 103,633 0.9 112,636 3.1 119,184 1.1
12,806 2.0 9,663 (3.8) 11,568 6.8 12,604 1.6

20,429 3.4 22,668 1.4 24,811 3.3 26,051 0.9
14,860 4.1 16,016 1.0 16,743 1.6 17,391 0.7
13,985 2.1 14,529 0.5 16,170 4.0 15,537 (0.8)
14,154 3.4 16,431 2.1 18,029 3.4 19,063 1.1
11,039 5.3 12,595 1.8 13,305 2.0 14,925 2.2
9,856 2.7 11,731 2.4 12,010 0.9 13,613 2.4
252,386 2.3 301,926 2.5 318,676 2.0 345,366 1.5
1-5
Table 1.1 Continued
POPULATION AND GROWTH RATE BY PROVINCE/CITY/MUNICIPALITY
Province/City 1980 1990 1995
Municipality Total Growth Total Growth Total Growth
Population Rate Population Rate Population Rate
Benguet 235,742 2.9 302,715 2.5 313,833 0.7

Atok 14,466 4.5 13,853 (0.4) 14,862 1.3
Bakun 8,878 2.3 10,817 2.0 12,836 3.3
Bokod 11,899 2.7 11,474 (0.4) 10,526 (1.6)
Buguias 17,509 2.9 25,236 3.7 28,034 2.0
Itogon 47,605 3.0 61,773 2.6 47,781 (4.7)
Kabayan 9,072 1.6 10,306 1.3 10,510 0.4

Kapangan 13,381 0.9 15,537 1.5 15,326 (0.3)
Kibungan 10,500 2.7 12,753 2.0 14,148 2.0
La Trinidad 28,713 4.8 48,523 5.4 63,089 5.0
Mankayan 25,684 1.3 32,889 2.5 34,699 1.0
Sablan 7,900 1.5 8,440 0.7 9,170 1.6

Tuba 30,449 3.8 39,635 2.7 39,589 (0.0)
Tublay 9,686 2.4 11,479 1.7 13,263 2.7
Ifugao 2/ 111,368 1.2 147,281 2.8 149,598 0.3
Aguinaldo - - 19,830 - 12,623 (8.1)

Alfonso Lista (Potia) 11,016 6.1 14,816 3.0 17,552 3.2
Asipulo - - - - 9,964 -
Banaue 22,900 2.2 16,943 (3.0) 20,514 3.7
Hingyon - - 8,373 - 9,724 2.8
Hungduan 9,857 (4.3) 7,254 (3.0) 9,491 5.2

Kiangan 17,481 1.9 21,329 2.0 13,514 (8.2)
Lagawe 15,075 1.6 12,437 (1.9) 14,898 3.4
Lamut 11,017 3.2 14,101 2.5 17,081 3.7
Mayoyao 24,022 (0.3) 23,942 (0.0) 14,733 (8.7)
Tinoc - - 8,256 - 9,504 2.7
Kalinga 3/ 114,382 3.6 137,055 1.8 154,145 2.2
Balbalan 9,168 4.0 10,147 1.0 11,742 2.8

Lubuagan 8,545 1.9 9,189 0.7 9,897 1.4
Pasil 6,872 0.3 7,572 1.0 8,935 3.2
Pinukpuk 17,362 8.5 20,102 1.5 23,057 2.6
Rizal (Liwan) 11,637 (0.1) 10,885 (0.7) 12,173 1.1

Tabuk City 42,768 4.7 57,200 3.0 63,507 2.1
Tanudan 6,327 1.4 9,323 4.0 11,243 2.0
Tinglayan 11,703 1.5 12,637 0.8 13,591 3.6
Mountain Province 103,052 1.8 116,535 1.2 130,755 1.2

Barlig 5,241 0.4 6,273 1.8 7,477 3.3
Bauko 16,688 2.4 21,126 2.4 24,242 2.6
Besao 9,093 5.2 8,473 (0.7) 9,147 1.4
Bontoc 17,091 (0.4) 17,716 0.4 21,192 3.4
Natonin 7,325 1.8 9,813 3.0 8,997 (1.6)
Paracelis (Paracales) 4/ 9,729 4.8 13,027 3.0 15,882 3.8

Sabangan 8,194 1.5 8,083 (0.1) 8,609 1.2
Sadanga 6,650 2.4 7,302 0.9 8,373 2.6
Sagada 9,460 1.1 10,353 0.9 10,354 0.0
Tadian 13,581 1.2 14,369 0.6 16,482 2.6
1-6
Table 1.1 Continued
2000 2007 2010 2015

Total Growth Total Growth Total Growth Total Growth
Population Rate Population Rate Population Rate Population Rate
330,129 1.1 372,533 1.7 403,944 3.0 446,224 1.9

16,657 2.5 19,253 2.0 19,242 (0.0) 19,668 0.4
12,213 (1.1) 12,137 (0.1) 13,587 4.2 15,357 2.4
11,705 2.3 12,913 1.4 12,648 (0.8) 13,756 1.6
33,177 3.7 34,507 0.5 39,271 4.8 43,627 2.0
46,705 (0.5) 48,778 0.6 55,960 5.1 59,820 1.3
12,344 3.5 12,657 0.3 13,588 2.6 15,260 2.2

18,137 3.7 18,221 0.1 20,084 3.6 19,361 (0.7)
15,036 1.3 15,700 0.6 16,850 2.6 17,292 0.5
67,963 1.6 97,810 5.1 107,188 3.4 129,133 3.6
34,502 (0.1) 34,563 0.0 35,586 1.1 35,953 0.2
9,652 1.1 10,890 1.7 10,511 (1.3) 11,457 1.7

38,366 (0.7) 40,008 0.6 42,874 2.5 47,648 2.0
13,672 0.7 15,096 1.4 16,555 3.4 17,892 1.5
161,623 1.7 180,711 1.6 191,078 2.0 202,802 1.1
16,377 5.7 17,231 0.7 18,610 2.8 19,408 0.8

21,167 4.1 25,323 2.5 28,410 4.3 32,119 2.4
12,294 4.6 13,340 1.1 14,403 2.8 15,261 1.1
20,563 0.1 21,448 0.6 22,365 1.5 21,837 (0.5)
9,769 0.1 10,071 0.4 9,795 (1.0) 9,227 (1.1)
9,380 (0.3) 9,601 0.3 9,933 1.2 9,400 (1.0)

14,099 0.9 15,448 1.3 15,837 0.9 17,048 1.4
15,269 0.5 17,373 1.8 18,077 1.5 19,333 1.3
18,731 2.0 22,109 2.3 23,088 1.6 25,279 1.7
14,191 (0.8) 16,722 2.3 16,413 (0.7) 17,331 1.0
9,783 0.6 12,045 2.9 14,147 6.0 16,559 3.0
174,023 2.6 182,326 0.6 201,613 3.7 212,680 1.0
11,934 0.3 12,012 0.1 12,082 0.2 12,195 0.2

9,875 (0.0) 10,183 0.4 9,369 (3.0) 8,733 (1.3)
9,360 1.0 10,084 1.0 9,626 (1.7) 9,644 0.0
26,130 2.7 27,783 0.8 29,596 2.3 32,026 1.5
13,652 2.5 14,614 0.9 15,942 3.2 17,038 1.3

78,633 4.7 87,912 1.5 103,912 6.3 110,642 1.2
10,275 (1.9) 8,119 (3.2) 8,529 1.8 9,534 2.1
14,164 0.9 11,619 (2.7) 12,557 2.9 12,868 0.5
140,631 1.6 148,661 0.8 154,187 1.3 154,590 0.0

6,351 (3.4) 6,186 (0.4) 5,838 (2.1) 4,819 (3.6)
27,729 2.9 29,382 0.8 30,172 1.0 31,065 0.6
9,875 1.7 7,295 (4.1) 7,818 2.5 7,040 (2.0)
22,308 1.1 24,798 1.5 23,980 (1.2) 24,643 0.5
9,065 0.2 9,431 0.5 10,048 2.3 10,272 0.4
18,985 3.9 24,705 3.7 26,476 2.5 28,121 1.2

8,728 0.3 9,098 0.6 8,741 (1.4) 9,315 1.2
8,596 0.6 9,706 1.7 9,181 (2.0) 8,799 (0.8)
10,575 0.5 10,930 0.5 11,244 1.0 11,127 (0.2)
18,227 2.2 17,148 (0.8) 20,689 7.1 19,389 (1.2)
1-7
Table 1.2
TOTAL POPULATION, LAND AREA AND DENSITY BY PROVINCE/CITY/MUNICIPALITY
(Land Area in square kilometers; Density in persons per square kilometer)
1980 1990 1995

Area
Population Density Population Density Population Density
Philippines 48,098,460 160.3 60,703,206 202.3 68,616,536 228.7
CAR 914,432 46.6 1,146,191 58.4 1,254,838 64.0
Abra 160,198 38.5 184,743 44.0 195,964 47.0
Bangued 28,666 271.2 34,184 323.4 35,450 335.4

Boliney 3,060 14.1 3,773 17.4 3,156 14.5
Bucay 12,375 121.1 13,346 130.6 14,499 141.9
Bucloc 1,605 25.2 1,932 30.3 1,919 30.1
Daguioman 1,254 11.0 1,413 12.4 1,475 12.9
Danglas 2,657 17.0 3,042 19.5 4,285 27.5

Dolores 7,615 160.5 8,577 180.8 9,560 201.5
La Paz 9,205 179.1 11,240 218.6 11,756 228.7
Lacub 2,038 6.9 2,326 7.9 2,202 7.5
Lagangilang 9,466 93.3 11,248 110.9 12,023 118.5
Lagayan 3,827 17.7 3,771 17.5 3,412 15.8

Langiden 2,256 19.4 2,452 21.1 2,729 23.5
Licuan-Baay (Licuan) 3,094 12.1 3,697 14.4 3,866 15.1
Luba 4,911 33.1 5,563 37.5 5,559 37.5
Malibcong 3,108 11.0 3,494 12.3 3,870 13.7
Manabo 6,590 59.4 7,797 70.3 8,633 77.8

Peñarubia 4,096 140.9 4,893 168.3 5,048 173.6
Pidigan 7,162 145.7 8,807 179.2 9,098 185.1
Pilar 7,518 113.7 8,451 127.9 9,183 138.9
Sallapadan 4,274 33.2 4,941 38.4 5,303 41.2
San Isidro 3,087 64.2 3,744 77.9 3,842 79.9

San Juan 7,233 112.9 8,445 131.8 8,461 132.0
San Quintin 3,574 53.7 4,293 64.5 4,999 75.1
Tayum 9,621 157.4 11,045 180.7 12,346 201.9
Tineg 2,988 3.9 3,068 4.0 4,312 5.6
Tubo 4,985 12.2 4,589 11.2 4,344 10.6

Villaviciosa 3,933 38.2 4,612 44.8 4,634 45.0
Apayao 1/ 70,681 16.0 74,720 17.0 83,660 19.0
Calanasan (Bayag) 5,556 4.4 10,699 8.5 11,679 9.3

Conner 14,196 20.4 16,220 23.4 17,461 25.1
Flora 12,295 37.9 10,810 33.3 12,310 37.9
Kabugao 9,600 10.3 11,198 12.0 12,710 13.6
Luna 13,668 22.6 10,550 17.4 12,126 20.0
Pudtol 7,598 18.9 7,621 19.0 8,656 21.6

Santa Marcela 7,768 39.6 7,622 38.8 8,718 44.4
Baguio City 119,009 2,069.4 183,142 3,184.5 226,883 3,945.1
Benguet 235,742 85.1 302,715 109.0 313,833 113.3
Atok 14,466 67.3 13,853 64.4 14,862 69.1

Bakun 8,878 30.9 10,817 37.7 12,836 44.7
2/ Includes Apayao from 1939 to 1990.
1-8
Table 1.2 Continued
2000 2007 2010 2015

Population Density Population Density Population Density Population Density
76,506,928 255.0 88,566,732 295.2 92,337,852 307.8 100,981,437 336.6
1,365,220 69.6 1,520,743 77.5 1,616,867 82.4 1,722,006 86.9
209,491 50.3 230,953 55.4 234,733 56.3 241,160 57.4
38,965 368.6 46,179 436.9 43,936 415.7 48,163 353.1

3,340 15.4 3,349 15.4 4,063 18.7 3,573 17.0
14,881 145.7 16,266 159.2 17,126 167.6 17,115 167.5
2,109 33.1 2,227 34.9 2,176 34.1 2,501 39.2
1,748 15.3 1,916 16.8 1,715 15.0 2,088 18.3
4,144 26.6 5,411 34.7 4,734 30.3 4,192 26.9

9,949 209.7 10,787 227.3 11,499 242.3 11,315 238.5
12,922 251.4 14,658 285.1 14,882 289.5 15,437 300.3
2,782 9.4 3,050 10.3 2,977 10.1 3,403 14.4
12,073 119.0 13,490 133.0 13,824 136.3 14,255 114.8
3,894 18.0 4,134 19.1 4,477 20.7 4,499 20.8

2,998 25.8 3,242 27.9 3,170 27.3 3,198 27.5
3,812 14.9 3,990 15.6 4,864 19.0 4,689 18.3
6,203 41.8 6,363 42.9 6,391 43.1 6,339 42.8
3,806 13.4 3,354 11.8 3,807 13.4 3,428 12.1
9,643 86.9 10,538 95.0 10,756 96.9 10,761 132.7

5,515 189.7 6,443 221.6 6,544 225.1 6,640 170.0
10,183 207.2 11,280 229.5 11,528 234.5 12,185 247.9
9,328 141.1 9,792 148.1 9,908 149.9 10,223 154.7
5,497 42.7 6,370 49.5 5,985 46.5 6,622 51.5
4,293 89.3 4,647 96.7 4,888 101.7 4,574 95.2

8,821 137.7 9,714 151.6 10,546 164.6 9,867 154.0
5,130 77.0 5,341 80.2 5,233 78.6 5,438 81.7
12,539 205.1 13,360 218.5 13,940 228.0 14,467 259.8
4,995 6.4 4,317 5.6 4,668 6.0 5,097 6.8
5,044 12.3 5,588 13.6 5,719 14.0 5,699 11.6

4,877 47.4 5,147 50.0 5,377 52.2 5,392 52.4
97,129 22.0 103,633 23.5 112,636 25.5 119,184 26.5
12,806 10.2 9,663 7.7 11,568 9.2 12,604 10.0

20,429 29.4 22,668 32.6 24,811 35.7 26,051 37.5
14,860 45.8 16,016 49.4 16,743 51.6 17,391 42.1
13,985 15.0 14,529 15.5 16,170 17.3 15,537 16.6
14,154 23.4 16,431 27.1 18,029 29.7 19,063 31.5
11,039 27.5 12,595 31.4 13,305 33.2 14,925 37.2

9,856 50.2 11,731 59.8 12,010 61.2 13,613 69.3
252,386 4,388.6 301,926 5,250.0 318,676 5,541.2 345,366 6,005.3
330,129 119.2 372,533 134.5 403,944 145.9 446,224 161.1
16,657 77.5 19,253 89.6 19,242 89.5 19,668 91.5

12,213 42.6 12,137 42.3 13,587 47.4 15,357 53.5
1-9
Table 1.2 Continued
TOTAL POPULATION, LAND AREA AND DENSITY BY PROVINCE/CITY/MUNICIPALITY
(Land Area in square kilometers; Density in person per square kilometer)
1980 1990 1995

Area
Population Density Population Density Population Density
Benguet (Continued)
Bokod 11,899 43.3 11,474 41.7 10,526 38.3

Buguias 17,509 99.6 25,236 143.5 28,034 159.4
Itogon 47,605 105.9 61,773 137.4 47,781 106.2
Kabayan 9,072 37.4 10,306 42.5 10,510 43.3

Kapangan 13,381 81.4 15,537 94.5 15,326 93.2
Kibungan 10,500 41.2 12,753 50.0 14,148 55.5
La Trinidad 28,713 410.0 48,523 692.8 63,089 900.8
Mankayan 25,684 196.8 32,889 252.1 34,699 265.9
Sablan 7,900 74.8 8,440 79.9 9,170 86.8

Tuba 30,449 102.9 39,635 133.9 39,589 133.8
Tublay 9,686 94.5 11,479 111.9 13,263 129.3
Ifugao 111,368 42.4 147,281 56.0 149,598 56.9
Aguinaldo - - 19,830 36.9 12,623 23.5

Alfonso Lista (Potia) 11,016 31.7 14,816 42.6 17,552 50.5
Asipulo - - - - 9,964 54.5
Banaue 22,900 119.8 16,943 88.6 20,514 107.3
Hingyon - - 8,373 135.0 9,724 156.8
Hungduan 9,857 37.9 7,254 27.9 9,491 36.5

Kiangan 17,481 87.4 21,329 106.6 13,514 67.6
Lagawe 15,075 72.2 12,437 59.5 14,898 71.3
Lamut 11,017 69.0 14,101 88.3 17,081 107.0
Mayoyao 24,022 100.9 23,942 100.6 14,733 61.9
Tinoc - - 8,256 34.4 9,504 39.6
Kalinga 2/ 114,382 35.4 137,055 42.4 154,145 47.7
Balbalan 9,168 16.9 10,147 18.7 11,742 21.6

Lubuangan 8,545 36.5 9,189 39.2 9,897 42.3
Pasil 6,872 36.4 7,572 40.1 8,935 47.3
Pinukpuk 17,362 23.3 20,102 27.0 23,057 31.0
Rizal (Liwan) 11,637 50.4 10,885 47.1 12,173 52.7

Tabuk City 42,768 61.1 57,200 81.7 63,507 90.7
Tanudan 6,327 20.6 9,323 30.3 11,243 36.6
Tinglayan 11,703 41.4 12,637 44.7 13,591 48.0
Mountain Province 103,052 43.93 116,535 49.7 130,755 55.7
Barlig 5,241 22.9 6,273 27.4 7,477 32.7

Bauko 16,688 109.1 21,126 138.1 24,242 158.4
Besao 9,093 52.4 8,473 48.8 9,147 52.7
Bontoc 17,091 43.1 17,716 44.7 21,192 53.5
Natonin 7,325 29.1 9,813 38.9 8,997 35.7
Paracelis (Paracales) 9,729 17.1 13,027 22.8 15,882 27.9

Sabangan 8,194 113.7 8,083 112.2 8,609 119.5
Sadanga 6,650 25.6 7,302 28.1 8,373 32.2
Sagada 9,460 113.5 10,353 124.3 10,354 124.3
Tadian 13,581 86.5 14,369 91.5 16,482 105.0
1 - 10
Table 1.2 Continued
2000 2007 2010 2015

Population Density Population Density Population Density Population Density
11,705 42.6 12,913 47.0 12,648 46.0 13,756 50.0

33,177 188.6 34,507 196.2 39,271 223.3 43,627 248.0
46,705 103.9 48,778 108.5 55,960 124.4 59,820 133.0
12,344 50.9 12,657 52.2 13,588 56.0 15,260 62.9

18,137 110.3 18,221 110.8 20,084 122.2 19,361 117.8
15,036 59.0 15,700 61.6 16,850 66.1 17,292 67.8
67,963 970.3 97,810 1,396.5 107,188 1,530.4 129,133 1,843.7
34,502 264.4 34,563 264.9 35,586 272.7 35,953 275.5
9,652 91.4 10,890 103.1 10,511 99.5 11,457 108.5

38,366 129.6 40,008 135.2 42,874 144.9 47,648 161.0
13,672 133.3 15,096 147.2 16,555 161.4 17,892 174.5
161,623 61.5 180,711 68.8 191,078 72.7 191,078 77.5
16,377 30.4 17,231 32.0 18,610 34.6 19,408 36.1

21,167 60.9 25,323 72.9 28,410 81.8 32,119 92.4
12,294 67.2 13,340 72.9 14,403 78.8 15,261 83.5
20,563 107.5 21,448 112.2 22,365 117.0 21,837 114.2
9,769 157.5 10,071 162.4 9,795 157.9 9,227 148.8
9,380 36.0 9,601 36.9 9,933 38.2 9,400 36.1

14,099 70.5 15,448 77.2 15,837 79.2 17,048 85.2
15,269 73.1 17,373 83.2 18,077 86.5 19,333 92.5
18,731 117.3 22,109 138.5 23,088 144.6 25,279 169.1
14,191 59.6 16,722 70.2 16,413 68.9 17,331 72.8
9,783 40.8 12,045 50.3 14,147 59.0 14,147 69.1
174,023 53.9 182,326 56.4 201,613 62.4 201,613 64.8
11,934 22.0 12,012 22.1 12,082 22.3 12,195 22.5

9,875 42.2 10,183 43.5 9,369 40.0 8,733 37.3
9,360 49.5 10,084 53.4 9,626 50.9 9,644 51.0
26,130 35.1 27,783 37.4 29,596 39.8 32,026 43.1
13,652 59.1 14,614 63.3 15,942 69.0 17,038 60.5

78,633 112.3 87,912 125.5 103,912 148.4 110,642 158.0
10,275 33.4 8,119 26.4 8,529 27.7 9,534 31.0
14,164 50.0 11,619 41.1 12,557 44.4 12,868 45.5
140,439 59.9 148,661 63.4 154,187 65.7 154,187 64.7
6,351 27.8 6,186 27.1 5,838 25.5 4,819 21.1

27,729 181.2 29,382 192.0 30,172 197 31,065 182
9,875 56.9 7,295 42.0 7,818 45.0 7,040 40.5
22,308 56.3 24,798 62.6 23,980 60.5 24,643 62.2
9,065 36.0 9,431 37.4 10,048 39.9 10,272 40.8
.
18,985 33.3 24,705 43.3 26,476 46.4 28,121 49.3
8,728 121.2 9,098 126.3 8,741 121.3 9,315 129.3
8,596 33.1 9,706 37.4 9,181 35.3 8,799 33.9
10,575 126.9 10,930 131.2 11,244 134.9 11,127 101.4
18,227 116.1 17,148 109.2 20,689 131.8 19,389 123.5
1 - 11
Table 1.3A
HOUSEHOLD POPULATION BY SEX AND AGE GROUP
Census Years 1990, 1995, 2000, 2007, 2010 and 2015
Sex/ 1990 1995 2000 2007 2010 2015
Age Group
CAR
Both Sexes 1,141,141 1,023,897 1,360,611 1,514,266 1,611,669 1,714,220
Under 1 35,496 28,088 34,869 34,343 32,981 34,566

1-4 128,910 113,577 132,496 139,313 137,142 144,782
5-9 155,817 140,736 172,791 172,311 173,384 180,692
10-14 137,789 125,519 168,468 168,217 169,150 175,921
15-19 122,073 108,806 152,026 173,447 180,963 177,041
20-24 109,143 89,248 129,067 148,085 167,308 173,885
25-29 94,970 83,189 103,158 126,332 137,938 149,475
30-34 79,049 70,017 94,228 99,716 114,756 125,565
35-39 62,988 63,375 84,989 94,963 96,760 107,852
40-44 47,494 46,151 72,577 83,489 90,739 90,192
45-49 39,861 37,431 55,368 74,788 80,863 84,810
50-54 36,636 28,706 42,214 58,819 67,763 74,610
55-59 28,449 26,114 31,757 43,448 50,623 61,936
60-64 22,114 21,504 30,131 29,072 36,255 46,135
65-69 16,798 16,354 21,803 25,877 25,457 31,628
70-74 11,550 11,508 15,328 19,416 21,892 21,034
75 & Over 12,004 13,574 19,341 24,630 27,695 34,096
Men 577,366 523,748 692,831 711,927 821,042 874,188

Under 1 18,081 14,386 18,127 17,571 17,006 17,645
1-4 66,362 58,552 68,988 71,250 71,000 74,502
5-9 80,324 72,602 88,772 88,937 89,937 92,620
10-14 70,006 64,360 85,967 85,883 86,823 90,274
15-19 60,817 54,965 76,446 87,297 90,891 89,426
20-24 54,184 45,524 64,773 75,246 84,679 88,350
25-29 48,170 43,052 52,992 65,170 71,573 77,648
30-34 40,758 36,295 48,423 51,926 59,934 66,158
35-39 32,614 33,095 44,024 49,288 50,393 56,385
40-44 24,115 24,094 37,473 43,107 46,777 47,167
45-49 19,958 19,144 28,701 37,415 41,549 43,710
50-54 18,273 14,387 21,583 29,982 34,403 38,402
55-59 14,051 13,103 15,861 22,087 25,709 31,345
60-64 10,511 10,463 14,457 13,932 17,607 22,764
65-69 7,927 7,724 10,354 12,180 11,772 14,999
70-74 5,614 5,626 7,103 8,746 9,632 9,301
75 & Over 5,601 6,376 8,787 10,516 11,357 13,492
Women 563,775 500,149 667,780 743,737 790,627 840,032

Under 1 17,415 13,702 16,742 16,772 15,975 16,921
1-4 62,548 55,025 63,508 68,063 66,142 70,280
5-9 75,493 68,134 84,019 83,374 83,447 88,072
10-14 67,783 61,159 82,501 82,334 82,327 85,647
15-19 61,256 53,841 75,580 86,150 90,072 87,615
20-24 54,959 43,724 64,294 72,839 82,629 85,535
25-29 46,800 40,137 50,166 61,162 66,365 71,827
30-34 38,291 33,722 45,805 47,790 54,822 59,407
35-39 30,374 30,280 40,965 45,675 46,367 51,467
40-44 23,379 22,057 35,104 40,382 43,962 43,025
45-49 19,903 18,287 26,667 35,373 39,314 41,100
50-54 18,363 14,319 20,631 28,837 33,360 36,208
55-59 14,398 13,011 15,896 21,361 24,914 30,591
60-64 11,603 11,041 15,674 15,140 18,648 23,371
65-69 8,871 8,630 11,449 13,697 13,685 16,629
70-74 5,936 5,882 8,225 10,670 12,260 11,733
75 & Over 6,403 7,198 10,554 14,048 16,338 20,604
1 - 12
Table 1.3B
HOUSEHOLD POPULATION BY SEX , AGE GROUP AND PROVINCE
Census Years 1990, 1995, 2000, 2007, 2010 and 2015
Province Sex/
1990 1995 2000 2007 2010 2015
Age Group
Abra
Both Sexes 184,439 195,430 209,146 230,294 234,000 240,233
Under 1 5,128 4,827 4,729 5,016 4,799 4,384

1-4 18,710 19,177 18,420 21,723 20,002 19,489
5-9 24,430 24,131 24,660 26,001 25,739 25,279
10-14 22,436 23,871 24,436 25,912 23,626 25,472
15-19 18,391 20,330 22,650 22,532 23,476 21,685
20-24 16,003 16,097 18,967 19,291 20,794 20,425
25-29 14,079 15,040 15,066 18,158 18,594 18,525
30-34 12,431 13,143 14,075 14,604 16,285 17,198
35-39 10,062 12,490 12,746 14,352 13,789 15,374
40-44 7,881 9,601 11,642 12,547 13,184 13,019
45-49 6,640 7,973 9,309 11,692 12,075 12,601
50-54 6,839 6,061 7,454 9,818 10,756 11,298
55-59 5,514 6,087 5,752 7,936 8,597 10,121
60-64 4,878 4,971 5,942 5,183 6,485 7,988
65-69 4,082 4,020 4,397 5,160 4,645 5,816
70-74 3,042 3,241 3,515 4,039 4,551 3,878
75 & Over 3,893 4,370 5,386 6,330 6,603 7,681
Men 93,258 98,902 106,595 117,750 119,037 122,453
Under 1 2,595 2,460 2,421 2,612 2,428 2,289

1-4 9,578 9,884 9,567 11,172 10,372 10,058
5-9 12,719 12,394 12,767 13,450 13,215 13,019
10-14 11,534 12,367 12,601 13,322 12,240 13,318
15-19 9,518 10,431 11,840 11,944 12,181 11,395
20-24 8,177 8,326 9,915 10,283 10,787 10,502
25-29 7,205 7,727 7,731 9,410 9,734 9,538
30-34 6,376 6,655 7,296 7,615 8,512 8,992
35-39 5,125 6,387 6,545 7,348 7,121 7,969
40-44 3,948 4,827 5,960 6,504 6,797 6,729
45-49 3,248 3,978 4,726 6,034 6,224 6,500
50-54 3,313 2,920 3,736 4,926 5,474 5,815
55-59 2,633 2,937 2,800 4,000 4,283 5,119
60-64 2,262 2,353 2,768 2,371 3,058 3,874
65-69 1,916 1,850 2,027 2,370 2,059 2,719
70-74 1,417 1,462 1,568 1,784 1,936 1,655
75 & Over 1,694 1,944 2,327 2,605 2,616 2,962
Women 91,181 96,528 102,551 112,544 114,963 117,780
Under 1 2,533 2,367 2,308 2,404 2,371 2,095

1-4 9,132 9,293 8,853 10,551 9,630 9,431
5-9 11,711 11,737 11,893 12,551 12,524 12,260
10-14 10,902 11,504 11,835 12,590 11,386 12,154
15-19 8,873 9,899 10,810 10,588 11,295 10,290
20-24 7,826 7,771 9,052 9,008 10,007 9,923
25-29 6,874 7,313 7,335 8,748 8,860 8,987
30-34 6,055 6,488 6,779 6,989 7,773 8,206
35-39 4,937 6,103 6,201 7,004 6,668 7,405
40-44 3,933 4,774 5,682 6,043 6,387 6,290
45-49 3,392 3,995 4,583 5,658 5,851 6,101
50-54 3,526 3,141 3,718 4,892 5,282 5,483
55-59 2,881 3,150 2,952 3,936 4,314 5,002
60-64 2,616 2,618 3,174 2,812 3,427 4,114
65-69 2,166 2,170 2,370 2,790 2,586 3,097
70-74 1,625 1,779 1,947 2,255 2,615 2,223
75 & Over 2,199 2,426 3,059 3,725 3,987 4,719
1 - 13
Table 1.3B Continued
Census Years 1990, 1995, 2000, 2007, 2010 and 2015
Province Sex/
1990 1995 2000 2007 2010 2015
Age Group
Apayao
Both Sexes ... 83,271 97,058 103,565 112,523 118,653
Under 1 ... 2,296 2,503 2,464 2,346 2,285

1-4 ... 9,280 10,181 10,401 10,170 10,142
5-9 ... 11,015 12,883 12,517 12,703 12,772
10-14 ... 9,921 11,518 12,353 13,171 12,434
15-19 ... 8,883 10,235 10,323 12,221 12,294
20-24 ... 7,834 9,074 8,465 10,066 11,281
25-29 ... 7,117 7,794 8,014 8,781 9,354
30-34 ... 5,822 6,692 7,319 8,080 8,375
35-39 ... 5,367 6,116 6,976 7,231 7,642
40-44 ... 3,738 5,142 5,813 6,346 6,903
45-49 ... 3,021 3,734 5,223 5,657 6,092
50-54 ... 2,396 3,073 3,965 4,687 5,445
55-59 ... 2,105 2,263 2,977 3,405 4,328
60-64 ... 1,753 2,217 2,092 2,552 3,155
65-69 ... 1,172 1,483 1,810 1,846 2,200
70-74 ... 780 1,004 1,328 1,485 1,542
75 & Over ... 771 1,146 1,525 1,776 2,409
Men ... 42,620 49,909 53,657 58,147 61,746
Under 1 ... 1,207 1,281 1,267 1,174 1,216

1-4 ... 4,760 5,226 5,320 5,341 5,318
5-9 ... 5,633 6,692 6,401 6,585 6,730
10-14 ... 4,968 5,965 6,275 6,748 6,442
15-19 ... 4,516 5,147 5,556 6,355 6,354
20-24 ... 3,994 4,658 4,474 5,226 5,966
25-29 ... 3,739 4,019 4,101 4,557 4,911
30-34 ... 2,935 3,511 3,843 4,248 4,410
35-39 ... 2,781 3,154 3,696 3,798 4,005
40-44 ... 1,923 2,693 3,023 3,378 3,647
45-49 ... 1,541 1,935 2,740 2,927 3,246
50-54 ... 1,219 1,556 2,042 2,394 2,840
55-59 ... 1,086 1,126 1,552 1,750 2,262
60-64 ... 891 1,108 1,017 1,248 1,578
65-69 ... 597 741 926 896 1,042
70-74 ... 434 518 648 683 736
75 & Over ... 396 579 776 839 1,043
Women ... 40,651 47,149 49,908 54,376 56,907
Under 1 ... 1,089 1,222 1,197 1,172 1,069

1-4 ... 4,520 4,955 5,081 4,829 4,824
5-9 ... 5,382 6,191 6,116 6,118 6,042
10-14 ... 4,953 5,553 6,078 6,423 5,992
15-19 ... 4,367 5,088 4,767 5,866 5,940
20-24 ... 3,840 4,416 3,991 4,840 5,315
25-29 ... 3,378 3,775 3,913 4,224 4,443
30-34 ... 2,887 3,181 3,476 3,832 3,965
35-39 ... 2,586 2,962 3,280 3,433 3,637
40-44 ... 1,815 2,449 2,790 2,968 3,256
45-49 ... 1,480 1,799 2,483 2,730 2,846
50-54 ... 1,177 1,517 1,923 2,293 2,605
55-59 ... 1,019 1,137 1,425 1,655 2,066
60-64 ... 862 1,109 1,075 1,304 1,577
65-69 ... 575 742 884 950 1,158
70-74 ... 346 486 680 802 806
75 & Over ... 375 567 749 937 1,366
1 - 14
Province Sex 1990 1995

2000 2007 2010 2015
/Age Group (with Baguio City)
(with Baguio City)
Benguet
Both Sexes 482,110 311,839 329,216 370,946 403,129 444,634
Under 1 14,932 8,595 8,436 8,511 8,021 8,670

1-4 55,237 34,994 31,550 32,997 33,442 35,923
5-9 64,269 43,778 42,819 41,033 41,385 44,510
10-14 54,197 38,481 43,392 40,770 40,802 41,290
15-19 51,648 33,694 37,198 43,500 45,727 47,000
20-24 50,531 27,617 30,232 38,181 44,932 49,359
25-29 44,510 25,882 24,134 32,422 36,812 43,276
30-34 37,136 22,880 22,906 24,576 29,207 35,534
35-39 28,541 19,969 21,428 23,631 24,437 28,729
40-44 20,805 14,503 18,037 21,224 23,303 23,272
45-49 16,430 11,176 13,547 18,325 20,882 21,837
50-54 14,382 8,327 9,881 14,510 17,223 19,305
55-59 10,156 7,161 7,532 9,992 12,423 15,545
60-64 7,251 5,523 6,811 6,635 8,339 11,187
65-69 4,925 3,641 4,584 5,723 5,866 7,301
70-74 3,378 2,578 3,000 4,150 4,772 4,779
75 & Over 3,782 3,040 3,729 4,766 5,556 7,117
Men 243,657 161,269 169,978 191,916 208,350 230,512
Under 1 7,653 4,436 4,413 4,334 4,249 4,443

1-4 28,513 18,224 16,316 17,166 17,142 18,586
5-9 33,132 22,741 22,090 21,266 21,491 22,803
10-14 27,459 19,742 22,080 20,792 20,878 21,234
15-19 24,798 16,696 18,935 21,943 22,981 23,264
20-24 24,267 14,085 15,249 19,520 22,953 25,195
25-29 22,368 13,414 12,644 17,161 19,470 23,126
30-34 19,317 12,082 11,813 13,171 15,596 19,379
35-39 14,962 10,744 11,393 12,468 13,035 15,582
40-44 10,754 7,832 9,766 11,267 12,279 12,594
45-49 8,377 5,890 7,258 9,727 11,040 11,476
50-54 7,321 4,283 5,213 7,708 9,174 10,293
55-59 5,218 3,775 3,923 5,298 6,557 8,165
60-64 3,567 2,751 3,408 3,280 4,179 5,687
65-69 2,399 1,734 2,222 2,778 2,785 3,603
70-74 1,698 1,325 1,407 1,919 2,182 2,144
75 & Over 1,854 1,515 1,848 2,118 2,359 2,938
Women 238,453 150,570 159,238 179,030 194,779 214,122
Under 1 7,279 4,159 4,023 4,177 3,772 4,227

1-4 26,724 16,770 15,234 15,831 16,300 17,337
5-9 31,137 21,037 20,729 19,767 19,894 21,707
10-14 26,738 18,739 21,312 19,978 19,924 20,056
15-19 26,850 16,998 18,263 21,557 22,746 23,736
20-24 26,264 13,532 14,983 18,661 21,979 24,164
25-29 22,142 12,468 11,490 15,261 17,342 20,150
30-34 17,819 10,798 11,093 11,405 13,611 16,155
35-39 13,579 9,225 10,035 11,163 11,402 13,147
40-44 10,051 6,671 8,271 9,957 11,024 10,678
45-49 8,053 5,286 6,289 8,598 9,842 10,361
50-54 7,061 4,044 4,668 6,802 8,049 9,012
55-59 4,938 3,386 3,609 4,694 5,866 7,380
60-64 3,684 2,772 3,403 3,355 4,160 5,500
65-69 2,526 1,907 2,362 2,945 3,081 3,698
70-74 1,680 1,253 1,593 2,231 2,590 2,635
75 & Over 1,928 1,525 1,881 2,648 3,197 4,179
1 - 15
Census Years 1990, 1995, 2000, 2007, 2010 and 2015
Province Sex/
Age Group 1990 1995 2000 2007 2010 2015
Baguio City
Both Sexes … … 249,539 298,527 315,800 342,200
Under 1 … … 6,597 6,075 5,837 7,802

1-4 … … 22,711 24,024 23,672 29,565
5-9 … … 27,226 29,038 30,240 34,588
10-14 … … 27,306 26,462 28,684 34,176
15-19 … … 29,779 39,940 36,465 36,577
20-24 … … 27,573 37,673 37,401 36,879
25-29 … … 21,007 29,024 30,757 29,876
30-34 … … 19,694 20,967 24,797 25,567
35-39 … … 17,492 19,676 20,214 22,021
40-44 … … 14,422 17,267 19,215 17,936
45-49 … … 11,054 14,192 16,872 17,388
50-54 … … 8,056 11,372 13,714 15,138
55-59 … … 5,164 8,090 9,872 12,148
60-64 … … 4,417 5,206 7,021 8,814
65-69 … … 2,903 3,924 4,174 5,772
70-74 … … 1,816 2,576 3,135 3,374
75 & Over … … 2,322 3,021 3,730 4,579
Men … … 122,610 145,030 154,143 166,097
Under 1 … … 3,422 3,184 3,025 3,803

1-4 … … 12,170 12,278 12,213 14,807
5-9 … … 13,880 15,037 15,749 17,222
10-14 … … 13,683 13,416 14,716 16,956
15-19 … … 13,725 18,262 17,206 17,615
20-24 … … 12,796 17,505 17,497 17,707
25-29 … … 10,068 14,193 14,934 14,482
30-34 … … 9,613 10,347 12,313 12,600
35-39 … … 8,705 9,790 9,956 10,811
40-44 … … 7,164 8,448 9,257 8,799
45-49 … … 5,507 6,834 8,130 8,424
50-54 … … 4,130 5,547 6,668 7,368
55-59 … … 2,512 3,877 4,671 5,823
60-64 … … 2,101 2,424 3,318 4,055
65-69 … … 1,362 1,694 1,814 2,603
70-74 … … 850 1,066 1,297 1,397
75 & Over … … 922 1,128 1,379 1,625
Women … … 126,929 153,497 161,657 176,103
Under 1 … … 3,175 2,891 2,812 3,999

1-4 … … 10,541 11,746 11,459 14,758
5-9 … … 13,346 14,001 14,491 17,366
10-14 … … 13,623 13,046 13,968 17,220
15-19 … … 16,054 21,678 19,259 18,962
20-24 … … 14,777 20,168 19,904 19,172
25-29 … … 10,939 14,831 15,823 15,394
30-34 … … 10,081 10,620 12,484 12,967
35-39 … … 8,787 9,886 10,258 11,210
40-44 … … 7,258 8,819 9,958 9,137
45-49 … … 5,547 7,358 8,742 8,964
50-54 … … 3,926 5,825 7,046 7,770
55-59 … … 2,652 4,213 5,201 6,325
60-64 … … 2,316 2,782 3,703 4,759
65-69 … … 1,541 2,230 2,360 3,169
70-74 … … 966 1,510 1,838 1,977
75 & Over … … 1,400 1,803 2,351 2,954
1 - 16
Province Sex/
1990 1995 2000 2007 2010 2015
Age Group
Ifugao
Both Sexes 147,030 149,452 161,483 180,597 190,948 202,519
Under 1 4,828 4,212 4,258 4,128 4,240 4,192

1-4 17,149 17,863 16,924 16,880 17,681 18,227
5-9 21,643 21,770 22,773 21,853 21,965 22,588
10-14 20,413 18,846 21,309 21,967 21,920 21,742
15-19 16,805 16,239 18,051 21,729 22,474 21,042
20-24 12,625 13,077 15,116 17,936 19,625 20,982
25-29 10,841 12,174 11,874 14,983 15,754 18,126
30-34 8,539 9,419 10,257 11,595 13,017 14,355
35-39 7,579 8,789 9,112 10,521 10,709 12,452
40-44 5,236 6,206 7,798 8,971 9,815 10,196
45-49 4,749 4,800 6,002 7,943 8,742 9,207
50-54 4,499 3,606 4,218 6,351 7,213 8,016
55-59 4,026 3,423 3,252 4,714 5,444 6,622
60-64 3,130 3,177 3,472 3,014 3,704 5,061
65-69 2,427 2,663 3,039 2,853 2,762 3,442
70-74 1,432 1,686 2,040 2,442 2,635 2,256
75 & Over 1,109 1,502 1,988 2,717 3,248 4,013
Men 73,152 76,110 82,423 92,665 98,365 104,642
Under 1 2,390 2,147 2,149 2,138 2,151 2,135

1-4 8,606 9,099 8,678 8,616 9,196 9,404
5-9 10,969 11,169 11,588 11,314 11,390 11,532
10-14 10,192 9,696 10,854 11,165 11,137 11,213
15-19 8,519 8,247 9,317 10,965 11,398 10,720
20-24 6,324 6,715 7,702 9,345 10,213 10,891
25-29 5,368 6,240 6,376 7,873 8,437 9,621
30-34 4,315 4,836 5,318 6,189 6,962 7,789
35-39 3,804 4,536 4,736 5,549 5,804 6,648
40-44 2,609 3,213 3,946 4,605 5,116 5,505
45-49 2,287 2,449 3,121 4,120 4,490 4,822
50-54 2,213 1,779 2,154 3,234 3,588 4,106
55-59 1,906 1,700 1,591 2,427 2,825 3,362
60-64 1,393 1,500 1,618 1,454 1,816 2,551
65-69 1,061 1,243 1,413 1,346 1,294 1,659
70-74 673 833 961 1,116 1,166 1,027
75 & Over 523 708 901 1,209 1,382 1,657
Women 73,878 73,342 79,060 87,932 92,583 97,877
Under 1 2,438 2,065 2,109 1,990 2,089 2,057

1-4 8,543 8,764 8,246 8,264 8,485 8,823
5-9 10,674 10,601 11,185 10,539 10,575 11,056
10-14 10,221 9,150 10,455 10,802 10,783 10,529
15-19 8,286 7,992 8,734 10,764 11,076 10,322
20-24 6,301 6,362 7,414 8,591 9,412 10,091
25-29 5,473 5,934 5,498 7,110 7,317 8,505
30-34 4,224 4,583 4,939 5,406 6,055 6,566
35-39 3,775 4,253 4,376 4,972 4,905 5,804
40-44 2,627 2,993 3,852 4,366 4,699 4,691
45-49 2,462 2,351 2,881 3,823 4,252 4,385
50-54 2,286 1,827 2,064 3,117 3,625 3,910
55-59 2,120 1,723 1,661 2,287 2,619 3,260
60-64 1,737 1,677 1,854 1,560 1,888 2,510
65-69 1,366 1,420 1,626 1,507 1,468 1,783
70-74 759 853 1,079 1,326 1,469 1,229
75 & Over 586 794 1,087 1,508 1,866 2,356
1 - 17
Census Years 1990, 1995, 2000, 2007, 2010 and 2015
Province Sex/ 1990

1995 2000 2007 2010 2015
Age Group (with Apayao)
Kalinga
Both Sexes 211,391 153,629 173,638 182,098 201,206 212,003

Under 1 7,117 4,684 4,804 4,509 4,510 4,395
1-4 24,772 17,907 18,663 18,439 18,404 18,803
5-9 29,978 21,795 24,011 23,375 23,647 24,036
10-14 26,829 18,656 22,396 22,573 23,627 23,745
15-19 23,032 16,269 18,946 19,705 23,093 22,415
20-24 19,077 13,569 15,743 15,100 19,308 20,120
25-29 16,673 12,381 13,043 13,492 15,420 17,474
30-34 13,860 10,329 11,410 11,823 13,416 14,243
35-39 11,278 9,239 10,024 11,072 11,852 12,811
40-44 9,009 6,727 8,610 9,659 10,845 11,216
45-49 7,942 5,810 6,469 8,416 9,444 10,136
50-54 6,800 4,504 5,292 6,965 7,982 8,782
55-59 5,087 3,822 4,213 5,160 6,130 7,442
60-64 3,697 2,931 3,681 3,718 4,566 5,527
65-69 2,802 2,280 2,605 3,213 3,290 3,941
70-74 1,847 1,396 1,807 2,267 2,695 2,853
75 & Over 1,591 1,330 1,921 2,612 2,977 4,064
Men 108,328 78,434 89,056 93,338 103,705 109,662
Under 1 3,661 2,359 2,582 2,200 2,341 2,305
1-4 12,902 9,122 9,633 9,091 9,665 9,753
5-9 15,496 11,301 12,302 11,973 12,332 12,585
10-14 13,676 9,536 11,475 11,463 12,125 12,313
15-19 11,740 8,219 9,627 10,368 11,703 11,735
20-24 9,735 6,719 8,025 7,996 10,056 10,395
25-29 8,546 6,339 6,722 7,113 8,195 9,246
30-34 7,060 5,390 5,939 6,134 7,042 7,557
35-39 5,846 4,696 5,239 5,801 6,166 6,710
40-44 4,549 3,537 4,305 5,011 5,635 5,862
45-49 4,008 2,955 3,412 4,298 4,919 5,201
50-54 3,489 2,328 2,675 3,559 3,965 4,556
55-59 2,598 1,914 2,147 2,624 3,144 3,693
60-64 1,863 1,488 1,835 1,842 2,272 2,826
65-69 1,406 1,140 1,310 1,550 1,577 1,873
70-74 944 728 876 1,131 1,257 1,313
75 & Over 809 663 952 1,184 1,311 1,739
Women 103,063 75,195 84,582 88,760 97,501 102,341
Under 1 3,456 2,325 2,222 2,309 2,169 2,090

1-4 11,870 8,785 9,030 9,348 8,739 9,050
5-9 14,482 10,494 11,709 11,402 11,315 11,451
10-14 13,153 9,120 10,921 11,110 11,502 11,432
15-19 11,292 8,050 9,319 9,337 11,390 10,680
20-24 9,342 6,850 7,718 7,104 9,252 9,725
25-29 8,127 6,042 6,321 6,379 7,225 8,228
30-34 6,800 4,939 5,471 5,689 6,374 6,686
35-39 5,432 4,543 4,785 5,271 5,686 6,101
40-44 4,460 3,190 4,305 4,648 5,210 5,354
45-49 3,934 2,855 3,057 4,118 4,525 4,935
50-54 3,311 2,176 2,617 3,406 4,017 4,226
55-59 2,489 1,908 2,066 2,536 2,986 3,749
60-64 1,834 1,443 1,846 1,876 2,294 2,701
65-69 1,396 1,140 1,295 1,663 1,713 2,068
70-74 903 668 931 1,136 1,438 1,540
75 & Over 782 667 969 1,428 1,666 2,325
1 - 18
Province Sex/
Age Group 1990 1995 2000 2007 2010 2015
Mountain Province
Both Sexes 116,171 130,276 140,531 148,239 154,063 153,978
Under 1 3,491 3,474 3,542 3,640 3,228 2,838

1-4 13,042 14,356 14,047 14,849 13,771 12,633
5-9 15,497 18,247 18,419 18,494 17,705 16,919
10-14 13,914 15,744 18,111 18,180 17,320 17,062
15-19 12,197 13,391 15,167 15,718 17,507 16,028
20-24 10,907 11,054 12,362 11,439 15,182 14,839
25-29 8,867 10,595 10,240 10,239 11,820 12,844
30-34 7,083 8,424 9,194 8,832 9,954 10,293
35-39 5,528 7,521 8,071 8,735 8,528 8,823
40-44 4,563 5,376 6,926 8,008 8,031 7,650
45-49 4,100 4,651 5,253 8,997 7,191 7,549
50-54 4,116 3,812 4,240 5,838 6,188 6,626
55-59 3,666 3,516 3,581 4,579 4,752 5,730
60-64 3,158 3,149 3,591 3,224 3,588 4,403
65-69 2,562 2,578 2,792 3,194 2,874 3,156
70-74 1,851 1,827 2,146 2,614 2,619 2,352
75 & Over 1,629 2,561 2,849 3,659 3,805 4,233
Men 58,971 66,413 72,260 76,173 79,295 79,076

Under 1 1,782 1,777 1,859 1,836 1,638 1,454
1-4 6,763 7,463 7,398 7,607 7,071 6,576
5-9 8,008 9,364 9,453 9,496 9,175 8,729
10-14 7,145 8,051 9,309 9,450 8,979 8,798
15-19 6,242 6,856 7,855 8,259 9,067 8,343
20-24 5,681 5,685 6,428 6,123 7,947 7,694
25-29 4,683 5,593 5,432 5,319 6,246 6,724
30-34 3,690 4,397 4,933 4,627 5,261 5,431
35-39 2,877 3,951 4,252 4,636 4,513 4,660
40-44 2,255 2,762 3,639 4,249 4,315 4,031
45-49 2,038 2,331 2,742 3,662 3,819 4,041
50-54 1,937 1,858 2,119 2,966 3,140 3,424
55-59 1,696 1,691 1,762 2,309 2,479 2,921
60-64 1,426 1,480 1,619 1,544 1,716 2,193
65-69 1,145 1,160 1,279 1,516 1,347 1,500
70-74 882 844 923 1,082 1,111 1,029
75 & Over 721 1,150 1,258 1,496 1,471 1,528
Women 57,200 63,863 68,271 72,066 74,768 74,902
Under 1 1,709 1,697 1,683 1,804 1,590 1,384

1-4 6,279 6,893 6,649 7,242 6,700 6,057
5-9 7,489 8,883 8,966 8,998 8,530 8,190
10-14 6,769 7,693 8,802 8,730 8,341 8,264
15-19 5,955 6,535 7,312 7,459 8,440 7,685
20-24 5,226 5,369 5,934 5,316 7,235 7,145
25-29 4,184 5,002 4,808 4,920 5,574 6,120
30-34 3,393 4,027 4,261 4,205 4,693 4,862
35-39 2,651 3,570 3,819 4,099 4,015 4,163
40-44 2,308 2,614 3,287 3,759 3,716 3,619
45-49 2,062 2,320 2,511 3,335 3,372 3,508
50-54 2,179 1,954 2,121 2,872 3,048 3,202
55-59 1,970 1,825 1,819 2,270 2,273 2,809
60-64 1,732 1,669 1,972 1,680 1,872 2,210
65-69 1,417 1,418 1,513 1,678 1,527 1,656
70-74 969 983 1,223 1,532 1,508 1,323
75 & Over 908 1,411 1,591 2,187 2,334 2,705
1 - 19
Table 1.4A
HOUSEHOLD POPULATION 10 YEARS OLD AND OVER BY SEX, AGE GROUP
AND MARITAL STATUS
Census Years 1990, 1995, 2000, 2010 and 2015
1990
Sex / Age HH Population Never Divorced/ Common- Not
Group 10 Years Old Married Married Widowed Separated Law/Live-in Stated
and Over ( Single)
CAR
Both Sexes 820,918 388,732 389,374 35,836 5,465 436 1,075
10-14 137,789 136,661 736 78 42 13 259

15-19 122,073 114,871 6,779 94 74 42 213
20-24 109,143 73,552 34,728 315 284 75 189
25-29 94,970 33,333 60,308 656 480 80 113
30-34 79,049 13,336 63,823 1,098 668 57 67
35-39 62,988 5,947 54,760 1,555 636 45 45
40-44 47,494 3,202 41,734 1,926 588 24 20
45-49 39,861 2,138 34,489 2,577 605 30 22
50-54 36,636 1,642 30,678 3,679 591 22 24
55-59 28,449 1,154 22,536 4,242 477 18 22
60-64 22,114 903 15,895 4,917 363 12 24
65-69 16,798 742 10,957 4,757 312 9 21
70-74 11,550 518 6,579 4,233 184 5 31
75 and Over 12,004 733 5,372 5,709 161 4 25
Men 412,599 207,246 194,204 8,951 1,549 136 513
10-14 70,006 69,564 230 50 8 10 144

15-19 60,817 59,303 1,343 41 12 10 108
20-24 54,184 41,478 12,425 103 52 27 99
25-29 48,170 20,354 27,471 157 113 25 50
30-34 40,758 8,211 32,066 252 180 19 30
35-39 32,614 3,529 28,505 372 177 11 20
40-44 24,115 1,718 21,732 470 181 7 7
45-49 19,958 1,095 18,000 657 188 9 9
50-54 18,273 714 16,495 879 180 - 5
55-59 14,051 431 12,471 995 140 6 8
60-64 10,511 300 9,053 1,052 92 4 10
65-69 7,927 206 6,451 1,167 94 5 4
70-74 5,614 144 4,299 1,096 61 2 12
75 and Over 5,601 199 3,663 1,660 71 1 7
Women 408,319 181,486 195,170 26,885 3,916 300 562
10-14 67,783 67,097 506 28 34 3 115

15-19 61,256 55,568 5,436 53 62 32 105
20-24 54,959 32,074 22,303 212 232 48 90
25-29 46,800 12,979 32,837 499 367 55 63
30-34 38,291 5,125 31,757 846 488 38 37
35-39 30,374 2,418 26,255 1,183 459 34 25
40-44 23,379 1,484 20,002 1,456 407 17 13
45-49 19,903 1,043 16,489 1,920 417 21 13
50-54 18,363 928 14,183 2,800 411 22 19
55-59 14,398 723 10,065 3,247 337 12 14
60-64 11,603 603 6,842 3,865 271 8 14
65-69 8,871 536 4,506 3,590 218 4 17
70-74 5,936 374 2,280 3,137 123 3 19
75 and Over 6,403 534 1,709 4,049 90 3 18
Note: Details may not add-up to totals due to rounding.
1 - 20
Table 1.4A Continued
AND MARITAL STATUS
Census Years 1990, 1995, 2000, 2010 and 2015
1995
Sex/Age HH Population Never Divorced/ Common- Not
Group 10 Years Married Married Widowed Separated Law/Live-in Stated
and Over (Single)
CAR
Both Sexes 912,437 436,432 424,405 38,755 5,375 5,883 1,587
10-14 148,215 146,537 1,186 91 - - 365

15-19 138,222 130,661 6,387 182 91 547 365
20-24 114,183 80,386 31,844 274 274 1,186 274
25-29 104,709 39,782 62,319 730 547 1,186 182
30-34 87,674 16,880 67,977 1,186 730 730 91
35-39 78,476 8,851 66,152 1,916 821 639 91
40-44 57,351 4,197 49,637 2,372 639 456 91
45-49 46,250 2,829 39,600 2,829 547 274 -
50-54 34,527 1,734 28,651 3,376 456 182 -
55-59 30,689 1,277 24,727 4,106 365 182 -
60-64 25,028 1,004 18,340 5,110 274 182 -
65-69 18,673 730 12,683 4,927 182 91 -
70-74 12,966 547 7,664 4,471 182 91 -
75 and Over 15,474 821 7,391 7,117 91 91 -
Men 460,184 233,246 211,791 99,969 1,712 2,812 654
10-14 75,819 75,094 547 - - - 182

15-19 68,046 66,152 1,551 91 - 91 182
20-24 57,016 45,074 11,132 91 91 547 91
25-29 53,477 24,362 28,103 182 182 639 91
30-34 45,094 10,584 33,578 274 182 365 -
35-39 40,647 5,475 34,034 456 274 274 -
40-44 29,602 2,464 26,096 547 182 274 -
45-49 23,593 1,460 21,077 730 182 182 -
50-54 17,221 912 15,238 821 182 91 -
55-59 15,338 547 13,504 1,004 91 91 -
60-64 12,103 456 10,219 1,277 91 91 -
65-69 8,802 274 7,208 1,186 91 91 -
70-74 6,265 182 4,745 1,186 91 91 -
75 and Over 7,161 274 4,745 2,007 - - -
Women 452,253 203,186 212,614 28,786 3,663 3,071 933
10-14 72,396 71,535 639 91 - - 182

15-19 70,176 64,509 4,927 91 91 365 182
20-24 57,167 35,311 20,621 182 182 639 182
25-29 51,232 15,420 34,216 547 365 547 91
30-34 42,580 6,296 34,490 912 547 365 91
35-39 37,829 3,376 32,027 1,460 547 274 -
40-44 27,749 1,825 23,450 1,825 456 182 -
45-49 22,657 1,369 9,489 2,099 365 182 -
50-54 17,306 912 13,322 2,555 274 91 -
55-59 15,351 730 11,223 3,102 182 91 -
60-64 12,925 639 8,121 3,923 182 91 -
65-69 9,871 547 5,383 3,741 182 91 -
70-74 6,701 365 3,011 3,194 91 - -
75 and Over 8,313 547 2,646 5,110 - - -
1 - 21
AND MARITAL STATUS
Census Years 1990, 1995, 2000, 2010 and 2015
2000
and Over (Single)
CAR
Both Sexes 1,020,455 492,450 447,038 44,596 8,278 21,633 6,460
Below 20 320,494 308,224 6,899 196 150 1,833 3,192

20-24 129,067 91,396 32,423 221 364 3,590 1,073
25-29 103,158 41,748 56,510 447 620 3,241 592
30-34 94,228 20,726 68,477 886 946 2,826 367
35-39 84,989 11,599 67,845 1,486 1,170 2,571 318
40-44 72,577 6,638 59,837 2,496 1,256 2,158 192
45-49 55,368 3,897 45,724 3,079 1,055 1,483 130
50-54 42,214 2,674 33,775 3,771 835 1,031 128
55 and over 118,360 5,548 75,548 32,014 1,882 2,900 468
Men 516,944 264,860 223,575 11,751 2,804 10,742 3,212
Below 20 162,413 158,241 1,861 66 58 592 1,595

20-24 64,773 50,963 11,498 72 71 1,640 529
25-29 52,992 25,377 25,338 117 158 1,696 306
30-34 48,423 12,930 33,305 249 265 1,474 200
35-39 44,024 7,329 34,520 371 365 1,300 139
40-44 37,473 4,066 31,178 637 428 1,072 92
45-49 28,701 2,305 24,404 784 380 755 73
50-54 21,583 1,425 18,285 934 320 551 68
55 and over 56,562 2,224 43,186 8,521 759 1,662 210
Women 503,511 227,590 223,463 32,845 5,474 10,891 3,248
Below 20 158,081 149,983 5,038 130 92 1,241 1,597

20-24 64,294 40,433 20,925 149 293 1,950 544
25-29 50,166 16,371 31,172 330 462 1,545 286
30-34 45,805 7,796 35,172 637 681 1,352 167
35-39 40,965 4,270 33,325 1,115 805 1,271 179
40-44 35,104 2,572 28,659 1,859 828 1,086 100
45-49 26,667 1,592 21,320 2,295 675 728 57
50-54 20,631 1,249 15,490 2,837 515 480 60
55 and over 61,798 3,324 32,362 23,493 1,123 1,238 258
1 - 22
AND MARITAL STATUS
Census Years 1990, 1995, 2000, 2010 and 2015
2010
and Over (Single)
CAR
Both Sexes 1,268,162 589,423 592,359 53,118 11,480 20,783 999
Below 20 350,113 340,066 7,756 79 142 1,821 249

20-24 167,308 118,312 43,138 167 491 5,039 161
25-29 137,938 57,913 74,161 374 853 4,496 141
30-34 114,756 26,290 83,618 749 1,245 2,760 94
35-39 96,760 14,361 77,683 1,289 1,403 1,944 80
40-44 90,739 10,059 75,473 2,085 1,528 1,536 58
45-49 80,863 7,315 67,228 3,439 1,684 1,155 42
50-54 67,763 5,187 55,362 4,910 1,412 847 45
55-59 50,623 3,312 40,133 5,635 1,005 496 42
60-64 36,255 2,259 26,481 6,517 675 294 29
65-69 25,457 1,496 16,928 6,427 417 174 15
70-74 21,892 1,184 12,615 7,668 299 112 14
75-79 13,945 753 7,005 5,927 184 63 13
80 and over 13,750 916 4,778 7,852 142 46 16
Men 643,099 321,641 294,381 12,554 4,063 10,086 374
Below 20 177,714 175,239 1,847 30 47 447 104

20-24 84,679 66,773 15,549 31 97 2,172 57
25-29 71,573 35,180 33,684 93 234 2,332 50
30-34 59,934 16,759 41,021 195 406 1,515 38
35-39 50,393 9,315 39,139 344 511 1,054 30
40-44 46,777 6,439 38,431 539 551 793 24
45-49 41,549 4,538 34,878 854 627 635 17
50-54 34,403 3,046 29,185 1,197 527 438 10
55-59 25,709 1,790 21,957 1,258 402 286 16
60-64 17,607 1,046 14,641 1,462 272 172 14
65-69 11,772 614 9,467 1,428 156 103 4
70-74 9,632 424 7,240 1,781 117 68 2
75-79 6,051 238 4,289 1,419 61 41 3
80 and over 5,306 240 3,053 1,923 55 30 5
Women 625,063 267,782 297,978 40,564 7,417 10,697 625
Below 20 172,399 164,827 5,909 49 95 1,374 145

20-24 82,629 51,539 27,589 136 394 2,867 104
25-29 66,365 22,733 40,477 281 619 2,164 91
30-34 54,822 9,531 42,597 554 839 1,245 56
35-39 46,367 5,046 38,544 945 892 890 50
40-44 43,962 3,620 37,042 1,546 977 743 34
45-49 39,314 2,777 32,350 2,585 1,057 520 25
50-54 33,360 2,141 26,177 3,713 885 409 35
55-59 24,914 1,522 18,176 4,377 603 210 26
60-64 18,648 1,213 11,840 5,055 403 122 15
65-69 13,685 882 7,461 4,999 261 71 11
70-74 12,260 760 5,375 5,887 182 44 12
75-79 7,894 515 2,716 4,508 123 22 10
80 and over 8,444 676 1,725 5,929 87 16 11
1 - 23
AND MARITAL STATUS
Census Years 1990, 1995, 2000, 2010 and 2015
2015
and Over (Single)
CAR
Both Sexes 1,354,180 625,814 602,928 59,084 14,546 51,787 21
Below 20 352,962 344,706 4,194 23 37 3,985 17

20-24 173,885 124,959 36,461 125 372 11,968 0
25-29 149,475 66,558 69,778 393 1,115 11,630 1
30-34 125,565 32,347 82,736 695 1,777 8,010 0
35-39 107,852 17,726 81,364 1,137 2,101 5,523 1
40-44 90,192 10,829 71,834 1,886 2,003 3,640 0
45-49 84,810 8,665 68,502 3,076 1,925 2,641 1
50-54 74,610 6,659 59,483 4,898 1,697 1,873 0
55-59 61,936 4,962 47,945 6,541 1,353 1,135 0
60-64 46,135 3,179 33,744 7,572 966 674 0
65-69 31,628 2,066 21,159 7,521 538 344 0
70-74 21,034 1,255 12,010 7,244 333 192 0
75-79 16,561 879 7,994 7,410 180 97 1
80 and over 17,535 1,024 5,724 10,563 149 75 0
Men 689,421 343,843 300,325 13,985 5,812 25,446 10
Below 20 179,700 177,839 843 7 8 995 8

20-24 88,350 70,510 12,641 36 80 5,083 0
25-29 77,648 40,461 30,836 96 320 5,934 1
30-34 66,158 20,553 40,365 189 642 4,409 0
35-39 56,385 11,383 40,808 318 865 3,011 0
40-44 47,167 7,022 36,815 471 829 2,030 0
45-49 43,710 5,516 35,149 763 844 1,438 0
50-54 38,402 4,021 31,374 1,239 735 1,033 0
55-59 31,345 2,876 25,586 1,618 586 679 0
60-64 22,764 1,656 18,609 1,722 399 378 0
65-69 14,999 921 11,940 1,696 225 217 0
70-74 9,301 511 6,942 1,577 149 122 0
75-79 6,914 296 4,728 1,757 65 67 1
80 and over 6,578 278 3,689 2,496 65 50 0
Women 664,759 281,971 302,603 45,099 8,734 26,341 11
Below 20 173,262 166,867 3,351 16 29 2,990 9

20-24 85,535 54,449 23,820 89 292 6,885 0
25-29 71,827 26,097 38,942 297 795 5,696 0
30-34 59,407 11,794 42,371 506 1,135 3,601 0
35-39 51,467 6,343 40,556 819 1,236 2,512 1
40-44 43,025 3,807 35,019 1,415 1,174 1,610 0
45-49 41,100 3,149 33,353 2,313 1,081 1,203 1
50-54 36,208 2,638 28,109 3,659 962 840 0
55-59 30,591 2,086 22,359 4,923 767 456 0
60-64 23,371 1,523 15,135 5,850 567 296 0
65-69 16,629 1,145 9,219 5,825 313 127 0
70-74 11,733 744 5,068 5,667 184 70 0
75-79 9,647 583 3,266 5,653 115 30 0
80 and over 10,957 746 2,035 8,067 84 25 0
1 - 24
Table 1.4B
HOUSEHOLD POPULATION 10 YEARS OLD AND OVER BY SEX, AGE GROUP,
MARITAL STATUS AND PROVINCE
Census Years 2000, 2010 and 2015
2000
Sex HH Population Never Divorced/ Common- Not
Age Group 10 Years Old Married Married Widowed Separated Law/Live-in Stated
and Over (Single)
Abra
Both Sexes 161,337 73,530 72,769 8,653 1,349 4,221 815
Below 20 47,086 45,142 1,066 28 29 445 376

20-24 18,967 13,046 4,800 47 66 879 129
25-29 15,066 5,979 8,110 78 117 697 85
30-34 14,075 3,314 9,859 124 175 555 48
35-39 12,746 1,857 9,956 232 193 470 38
40-44 11,642 1,211 9,407 400 221 374 29
45-49 9,309 744 7,544 547 197 261 16
50-54 7,454 630 5,852 677 125 153 17
55 and over 24,992 1,607 16,175 6,520 226 387 77
Men 81,840 40,197 36,247 2,402 493 2,084 417
Below 20 24,441 23,801 310 9 14 124 183

20-24 9,915 7,638 1,747 18 13 424 75
25-29 7,731 3,645 3,625 15 35 365 46
30-34 7,296 2,002 4,862 42 50 313 27
35-39 6,545 1,138 5,001 68 69 253 16
40-44 5,960 731 4,840 126 79 171 13
45-49 4,726 389 3,948 169 71 137 12
50-54 3,736 308 3,087 191 56 85 9
55 and over 11,490 545 8,827 1,764 106 212 36
Women 79,497 33,333 36,522 6,251 856 2,137 398
Below 20 22,645 21,341 756 19 15 321 193

20-24 9,052 5,408 3,053 29 53 455 54
25-29 7,335 2,334 4,485 63 82 332 39
30-34 6,779 1,312 4,997 82 125 242 21
35-39 6,201 719 4,955 164 124 217 22
40-44 5,682 480 4,567 274 142 203 16
45-49 4,583 355 3,596 378 126 124 4
50-54 3,718 322 2,765 486 69 68 8
55 and over 13,502 1,062 7,348 4,756 120 175 41
1 - 25
2010
and Over (Single)
Abra
Both Sexes 183,460 76,345 89,397 10,091 1,780 5,642 205
Below 20 47,102 45,135 1,253 25 29 589 71

20-24 20,794 13,052 6,182 30 90 1,414 26
25-29 18,594 6,800 10,343 79 162 1,180 30
30-34 16,285 3,379 11,830 132 211 721 12
35-39 13,789 2,000 10,880 203 204 491 11
40-44 13,184 1,568 10,668 339 207 394 8
45-49 12,075 1,142 9,799 552 252 322 8
50-54 10,756 934 8,574 774 229 235 10
55-59 8,597 694 6,591 1,006 162 135 9
60-64 6,485 514 4,646 1,141 98 81 5
65-69 4,645 319 3,106 1,127 50 39 4
70-74 4,551 301 2,690 1,492 41 23 4
75-79 3,032 204 1,610 1,183 25 7 3
80 and over 3,571 303 1,225 2,008 20 11 4
Male 93,022 42,686 44,362 2,439 695 2,750 90
Below 20 24,421 23,899 320 11 7 148 36

20-24 10,787 7,808 2,322 7 17 624 9
25-29 9,734 4,339 4,708 20 44 612 11
30-34 8,512 2,167 5,817 32 80 407 9
35-39 7,121 1,293 5,408 57 91 265 7
40-44 6,797 978 5,401 101 103 211 3
45-49 6,224 695 5,105 140 98 182 4
50-54 5,474 565 4,491 203 88 124 3
55-59 4,283 368 3,524 235 68 83 5
60-64 3,058 216 2,494 255 40 52 1
65-69 2,059 126 1,634 258 21 19 1
70-74 1,936 94 1,462 348 21 11
75-79 1,256 57 927 259 10 3
80 and over 1,360 81 749 513 7 9 1
Female 90,438 33,659 45,035 7,652 1,085 2,892 115
Below 20 22,681 21,236 933 14 22 441 35

20-24 10,007 5,244 3,860 23 73 790 17
25-29 8,860 2,461 5,635 59 118 568 19
30-34 7,773 1,212 6,013 100 131 314 3
35-39 6,668 707 5,472 146 113 226 4
40-44 6,387 590 5,267 238 104 183 5
45-49 5,851 447 4,694 412 154 140 4
50-54 5,282 369 4,083 571 141 111 7
55-59 4,314 326 3,067 771 94 52 4
60-64 3,427 298 2,152 886 58 29 4
65-69 2,586 193 1,472 869 29 20 3
70-74 2,615 207 1,228 1,144 20 12 4
75-79 1,776 147 683 924 15 4 3
80 and over 2,211 222 476 1,495 13 2 3
1 - 26
2015
and Over (Single)
Abra
Both Sexes 191,081 79,209 84,195 11,212 2,594 13,859 12
Below 20 47,157 45,723 327 5 12 1,082 8

20-24 20,425 13,009 3,997 38 126 3,255 -
25-29 18,525 7,050 8,082 58 236 3,098 1
30-34 17,198 3,995 10,576 130 345 2,152 -
35-39 15,374 2,371 10,976 216 359 1,451 1
40-44 13,019 1,611 9,867 300 336 905 -
45-49 12,601 1,403 9,679 497 314 707 1
50-54 11,298 1,104 8,674 797 259 464 -
55-59 10,121 913 7,549 1,094 235 330 -
60-64 7,988 678 5,594 1,343 174 199 -
65-69 5,816 500 3,720 1,411 87 98 -
70-74 3,878 292 2,156 1,310 55 65 -
75-79 3,540 249 1,685 1,546 29 30 1
80 and over 4,141 311 1,313 2,467 27 23 -
Male 97,087 44,361 41,921 2,829 1,134 6,832 10
Below 20 24,713 24,356 71 2 2 274 8

20-24 10,502 7,713 1,370 16 27 1,376 -
25-29 9,538 4,330 3,526 15 74 1,592 1
30-34 8,992 2,528 5,058 36 141 1,229 -
35-39 7,969 1,503 5,447 60 171 788 -
40-44 6,729 1,019 4,959 94 154 503 -
45-49 6,500 877 4,941 143 166 373 -
50-54 5,815 675 4,547 221 128 244 -
55-59 5,119 547 3,971 296 111 194 -
60-64 3,874 319 3,058 311 67 119 -
65-69 2,719 212 2,050 357 39 61 -
70-74 1,655 122 1,173 285 32 43 -
75-79 1,457 87 948 386 13 22 1
80 and over 1,505 73 802 607 9 14 -
Female 93,994 34,848 42,274 8,383 1,460 7,027 2
Below 20 22,444 21,367 256 3 10 808 -

20-24 9,923 5,296 2,627 22 99 1,879 -
25-29 8,987 2,720 4,556 43 162 1,506 -
30-34 8,206 1,467 5,518 94 204 923 -
35-39 7,405 868 5,529 156 188 663 1
40-44 6,290 592 4,908 206 182 402 -
45-49 6,101 526 4,738 354 148 334 1
50-54 5,483 429 4,127 576 131 220 -
55-59 5,002 366 3,578 798 124 136 -
60-64 4,114 359 2,536 1,032 107 80 -
65-69 3,097 288 1,670 1,054 48 37 -
70-74 2,223 170 983 1,025 23 22 -
75-79 2,083 162 737 1,160 16 8 -
80 and over 2,636 238 511 1,860 18 9 -
1 - 27
2000
and Over (Single)
Apayao
Both Sexes 71,491 31,788 33,904 3,180 382 1,724 513
Below 20 21,753 20,491 743 27 12 207 273

20-24 9,074 5,812 2,826 23 34 286 93
25-29 7,794 2,762 4,615 46 42 277 52
30-34 6,692 1,214 5,124 98 51 185 20
35-39 6,116 601 5,121 138 58 180 18
40-44 5,142 321 4,379 218 52 161 11
45-49 3,734 178 3,126 266 44 114 6
50-54 3,073 119 2,470 344 35 95 10
55 and over 8,113 290 5,500 2,020 54 219 30
Men 36,710 17,530 16,943 991 137 853 256
Below 20 11,112 10,695 203 9 6 60 139

20-24 4,658 3,450 1,009 8 6 136 49
25-29 4,019 1,716 2,084 18 13 158 30
30-34 3,511 787 2,568 35 13 99 9
35-39 3,154 391 2,606 37 24 90 6
40-44 2,693 192 2,335 63 19 78 6
45-49 1,935 107 1,667 80 24 55 2
50-54 1,556 65 1,315 111 13 48 4
55 and over 4,072 127 3,156 630 19 129 11
Women 34,781 14,258 16,961 2,189 245 871 257
Below 20 10,641 9,796 540 18 6 147 134

20-24 4,416 2,362 1,817 15 28 150 44
25-29 3,775 1,046 2,531 28 29 119 22
30-34 3,181 427 2,556 63 38 86 11
35-39 2,962 210 2,515 101 34 90 12
40-44 2,449 129 2,044 155 33 83 5
45-49 1,799 71 1,459 186 20 59 4
50-54 1,517 54 1,155 233 22 47 6
55 and over 4,041 163 2,344 1,390 35 90 19
1 - 28
2010
and Over (Single)
Apayao
Both Sexes 87,304 37,468 44,640 3,728 478 919 71
Below 20 25,392 24,371 887 8 16 97 13

20-24 10,066 6,120 3,696 15 37 188 10
25-29 8,781 3,018 5,511 41 44 151 16
30-34 8,080 1,480 6,366 75 45 108 6
35-39 7,231 842 6,133 106 58 87 5
40-44 6,346 492 5,514 173 65 95 7
45-49 5,657 330 4,916 277 66 64 4
50-54 4,687 234 3,959 387 55 50 2
55-59 3,405 183 2,768 384 38 28 4
60-64 2,552 124 1,863 524 19 20 2
65-69 1,846 83 1,296 440 15 12 -
70-74 1,485 72 900 492 10 9 2
75-79 948 67 512 358 4 7 -
80 and over 828 52 319 448 6 3 -
Male 45,047 21,126 22,250 1,002 210 436 23
Below 20 13,103 12,860 203 3 4 28 5

20-24 5,226 3,794 1,352 1 5 74
25-29 4,557 1,883 2,563 9 17 80 5
30-34 4,248 1,040 3,115 32 9 52
35-39 3,798 573 3,124 23 21 54 3
40-44 3,378 354 2,888 52 35 44 5
45-49 2,927 223 2,556 73 41 33 1
50-54 2,394 135 2,093 109 30 26 1
55-59 1,750 100 1,517 97 22 13 1
60-64 1,248 62 1,024 140 11 10 1
65-69 896 29 753 102 4 8
70-74 683 32 520 120 4 6 1
75-79 467 30 324 104 3 6
80 and over 372 11 218 137 4 2
Female 42,257 16,342 22,390 2,726 268 483 48
Below 20 12,289 11,511 684 5 12 69 8

20-24 4,840 2,326 2,344 14 32 114 10
25-29 4,224 1,135 2,948 32 27 71 11
30-34 3,832 440 3,251 43 36 56 6
35-39 3,433 269 3,009 83 37 33 2
40-44 2,968 138 2,626 121 30 51 2
45-49 2,730 107 2,360 204 25 31 3
50-54 2,293 99 1,866 278 25 24 1
55-59 1,655 83 1,251 287 16 15 3
60-64 1,304 62 839 384 8 10 1
65-69 950 54 543 338 11 4
70-74 802 40 380 372 6 3 1
75-79 481 37 188 254 1 1
80 and over 456 41 101 311 2 1
1 - 29
2015
and Over (Single)
Apayao
Both Sexes 93,454 38,887 45,704 4,312 932 3,619 -
Below 20 24,728 23,761 455 5 12 495 -

20-24 11,281 7,047 3,290 16 58 870 -
25-29 9,354 3,429 5,109 40 95 681 -
30-34 8,375 1,637 6,080 57 146 455 -
35-39 7,642 957 6,126 124 137 298 -
40-44 6,903 578 5,743 182 123 277 -
45-49 6,092 430 5,121 256 103 182 -
50-54 5,445 318 4,515 368 92 152 -
55-59 4,328 234 3,466 488 58 82 -
60-64 3,155 170 2,350 536 35 64 -
65-69 2,200 114 1,482 549 26 29 -
70-74 1,542 72 926 506 25 13 -
75-79 1,184 60 591 510 13 10 -
80 and over 1,225 80 450 675 9 11 -
Male 48,482 22,178 22,880 1,228 428 1,768 -
Below 20 12,796 12,588 91 1 3 113 -

20-24 5,966 4,364 1,152 6 20 424 -
25-29 4,911 2,204 2,301 13 27 366 -
30-34 4,410 1,091 2,966 24 64 265 -
35-39 4,005 671 3,062 43 68 161 -
40-44 3,647 392 2,983 65 56 151 -
45-49 3,246 310 2,703 88 47 98 -
50-54 2,840 193 2,402 107 58 80 -
55-59 2,262 149 1,893 148 27 45 -
60-64 1,578 88 1,285 154 21 30 -
65-69 1,042 52 828 133 12 17 -
70-74 736 36 557 124 14 5 -
75-79 514 15 351 135 7 6 -
80 and over 529 25 306 187 4 7 -
Female 44,972 16,709 22,824 3,084 504 1,851 -
Below 20 11,932 11,173 364 4 9 382 -

20-24 5,315 2,683 2,138 10 38 446 -
25-29 4,443 1,225 2,808 27 68 315 -
30-34 3,965 546 3,114 33 82 190 -
35-39 3,637 286 3,064 81 69 137 -
40-44 3,256 186 2,760 117 67 126 -
45-49 2,846 120 2,418 168 56 84 -
50-54 2,605 125 2,113 261 34 72 -
55-59 2,066 85 1,573 340 31 37 -
60-64 1,577 82 1,065 382 14 34 -
65-69 1,158 62 654 416 14 12 -
70-74 806 36 369 382 11 8 -
75-79 670 45 240 375 6 4 -
80 and over 696 55 144 488 5 4 -
1 - 30
2000
and Over (Single)
Benguet
Both Sexes 246,411 124,794 105,753 9,302 1,790 3,058 1,714
Below 20 80,590 77,805 1,587 51 30 216 901

20-24 30,232 22,138 7,360 43 57 357 277
25-29 24,134 10,657 12,744 87 114 365 167
30-34 22,906 5,559 16,543 169 186 363 86
35-39 21,428 3,358 17,029 321 255 393 72
40-44 18,037 1,969 14,849 506 266 412 35
45-49 13,547 1,141 11,212 640 258 266 30
50-54 9,881 760 7,935 791 189 176 30
55 and over 25,656 1,407 16,494 6,694 435 510 116
Men 127,159 68,517 53,169 2,381 666 1,545 881
Below 20 41,015 40,060 379 16 9 87 464

20-24 15,249 12,456 2,479 14 10 161 129
25-29 12,644 6,784 5,527 18 22 202 91
30-34 11,813 3,693 7,809 32 45 180 54
35-39 11,393 2,294 8,720 80 74 193 32
40-44 9,766 1,324 7,975 135 104 208 20
45-49 7,258 782 6,054 157 116 130 19
50-54 5,213 457 4,377 184 83 95 17
55 and over 12,808 667 9,849 1,745 203 289 55
Women 119,252 56,277 52,584 6,921 1,124 1,513 833
Below 20 39,575 37,745 1,208 35 21 129 437

20-24 14,983 9,682 4,881 29 47 196 148
25-29 11,490 3,873 7,217 69 92 163 76
30-34 11,093 1,866 8,734 137 141 183 32
35-39 10,035 1,064 8,309 241 181 200 40
40-44 8,271 645 6,874 371 162 204 15
45-49 6,289 359 5,158 483 142 136 11
50-54 4,668 303 3,558 607 106 81 13
55 and over 12,848 740 6,645 4,949 232 221 61
1 - 31
2010
and Over (Single)
Benguet
Both Sexes 320,281 153,811 148,677 11,714 2,433 3,482 164
Below 20 86,529 84,363 1,784 10 35 310 27

20-24 44,932 32,530 11,460 33 88 799 22
25-29 36,812 16,123 19,784 76 152 656 21
30-34 29,207 7,292 21,075 146 232 441 21
35-39 24,437 4,121 19,400 286 283 330 17
40-44 23,303 2,984 19,238 461 325 282 13
45-49 20,882 2,279 17,183 798 381 231 10
50-54 17,223 1,596 14,060 1,080 311 170 6
55-59 12,423 908 9,878 1,264 259 105 9
60-64 8,339 615 6,042 1,465 150 60 7
65-69 5,866 393 3,779 1,556 94 43 1
70-74 4,772 287 2,699 1,698 52 32 4
75-79 2,877 165 1,380 1,271 42 16 3
80 and over 2,679 155 915 1,570 29 7 3
Male 165,468 85,633 74,440 2,739 914 1,695 47
Below 20 43,859 43,375 408 6 11 54 5

20-24 22,953 18,608 3,956 9 19 357 4
25-29 19,470 10,110 8,951 16 39 346 8
30-34 15,596 4,782 10,452 41 71 245 5
35-39 13,035 2,833 9,827 81 104 184 6
40-44 12,279 2,056 9,843 116 115 143 6
45-49 11,040 1,537 9,022 205 147 124 5
50-54 9,174 1,026 7,661 253 145 89
55-59 6,557 572 5,540 277 117 49 2
60-64 4,179 331 3,418 322 65 39 4
65-69 2,785 193 2,188 333 42 29
70-74 2,182 107 1,645 394 16 19 1
75-79 1,283 60 911 285 15 12
80 and over 1,076 43 618 401 8 5 1
Female 154,813 68,178 74,237 8,975 1,519 1,787 117
Below 20 42,670 40,988 1,376 4 24 256 22

20-24 21,979 13,922 7,504 24 69 442 18
25-29 17,342 6,013 10,833 60 113 310 13
30-34 13,611 2,510 10,623 105 161 196 16
35-39 11,402 1,288 9,573 205 179 146 11
40-44 11,024 928 9,395 345 210 139 7
45-49 9,842 742 8,161 593 234 107 5
50-54 8,049 570 6,399 827 166 81 6
55-59 5,866 336 4,338 987 142 56 7
60-64 4,160 284 2,624 1,143 85 21 3
65-69 3,081 200 1,591 1,223 52 14 1
70-74 2,590 180 1,054 1,304 36 13 3
75-79 1,594 105 469 986 27 4 3
80 and over 1,603 112 297 1,169 21 2 2
1 - 32
2015
and Over (Single)
Benguet
Both Sexes 355,531 169,575 159,195 13,362 3,132 10,267 -
Below 20 88,290 86,436 1,003 2 - 849 -

20-24 49,359 36,488 10,473 14 45 2,339 -
25-29 43,276 20,100 20,621 104 225 2,226 -
30-34 35,534 9,660 23,836 156 374 1,508 -
35-39 28,729 5,167 21,741 224 463 1,134 -
40-44 23,272 3,199 18,471 424 431 747 -
45-49 21,837 2,625 17,600 654 399 559 -
50-54 19,305 2,032 15,307 1,189 395 382 -
55-59 15,545 1,543 11,933 1,525 303 241 -
60-64 11,187 959 8,054 1,796 241 137 -
65-69 7,301 594 4,791 1,709 126 81 -
70-74 4,779 348 2,608 1,712 75 36 -
75-79 3,684 224 1,719 1,700 25 16 -
80 and over 3,433 200 1,038 2,153 30 12 -
Male 184,680 95,024 80,154 3,110 1,331 5,061 -
Below 20 44,498 44,133 184 - - 181 -

20-24 25,195 20,672 3,526 1 7 989 -
25-29 23,126 12,708 9,167 21 62 1,168 -
30-34 19,379 6,480 11,888 32 141 838 -
35-39 15,582 3,521 11,173 57 196 635 -
40-44 12,594 2,208 9,643 98 210 435 -
45-49 11,476 1,768 9,102 144 170 292 -
50-54 10,293 1,349 8,250 297 176 221 -
55-59 8,165 986 6,539 372 135 133 -
60-64 5,687 595 4,520 388 112 72 -
65-69 3,603 304 2,806 375 66 52 -
70-74 2,144 158 1,536 400 27 23 -
75-79 1,618 85 1,100 405 13 15 -
80 and over 1,320 57 720 520 16 7 -
Female 170,851 74,551 79,041 10,252 1,801 5,206 -
Below 20 43,792 42,303 819 2 - 668 -

20-24 24,164 15,816 6,947 13 38 1,350 -
25-29 20,150 7,392 11,454 83 163 1,058 -
30-34 16,155 3,180 11,948 124 233 670 -
35-39 13,147 1,646 10,568 167 267 499 -
40-44 10,678 991 8,828 326 221 312 -
45-49 10,361 857 8,498 510 229 267 -
50-54 9,012 683 7,057 892 219 161 -
55-59 7,380 557 5,394 1,153 168 108 -
60-64 5,500 364 3,534 1,408 129 65 -
65-69 3,698 290 1,985 1,334 60 29 -
70-74 2,635 190 1,072 1,312 48 13 -
75-79 2,066 139 619 1,295 12 1 -
80 and over 2,113 143 318 1,633 14 5 -
1 - 33
2000
and Over (Single)
Ifugao
Both Sexes 117,659 57,773 49,814 5,634 1,262 2,504 672
Below 20 39,375 37,995 854 20 22 155 329

20-24 15,131 10,651 3,993 29 48 290 120
25-29 11,908 4,897 6,559 52 65 285 50
30-34 10,280 2,032 7,672 130 107 312 27
35-39 9,129 944 7,540 181 126 312 26
40-44 7,808 474 6,594 291 158 265 26
45-49 6,006 253 5,097 346 120 178 12
50-54 4,220 161 3,367 404 125 143 20
55 and over 13,802 366 8,134 4,181 491 564 62
Men 60,110 31,616 24,939 1,545 462 1,217 331
Below 20 20,179 19,757 193 9 5 52 163

20-24 7,714 6,113 1,400 9 10 121 61
25-29 6,405 3,137 3,059 19 20 142 28
30-34 5,339 1,319 3,775 45 43 145 12
35-39 4,750 613 3,877 51 46 152 11
40-44 3,954 302 3,372 75 52 141 12
45-49 3,123 150 2,747 97 47 78 4
50-54 2,156 92 1,843 94 46 69 12
55 and over 6,490 133 4,673 1,146 193 317 28
Women 57,549 26,157 24,875 4,089 800 1,287 341
Below 20 19,196 18,238 661 11 17 103 166

20-24 7,417 4,538 2,593 20 38 169 59
25-29 5,503 1,760 3,500 33 45 143 22
30-34 4,941 713 3,897 85 64 167 15
35-39 4,379 331 3,663 130 80 160 15
40-44 3,854 172 3,222 216 106 124 14
45-49 2,883 103 2,350 249 73 100 8
50-54 2,064 69 1,524 310 79 74 8
55 and over 7,312 233 3,465 3,035 298 247 34
1 - 34
2010
and Over (Single)
Ifugao
Both Sexes 147,062 71,239 67,072 1,617 804 90
Below 20 44,394 43,207 1,054 12 90 18

20-24 19,625 14,016 5,377 57 148 14
25-29 15,754 6,920 8,536 20 130 15
30-34 13,017 3,100 9,550 176 90 8
35-39 10,709 1,499 8,818 166 73 9
40-44 9,815 889 8,411 194 76 9
45-49 8,742 570 7,489 225 61 5
50-54 7,213 356 6,050 174 41 3
55-59 5,444 234 4,426 133 26 2
60-64 3,704 125 2,776 101 21 2
65-69 2,762 95 1,808 85 17 1
70-74 2,635 90 1,431 80 18 1
75-79 1,835 62 875 52 12 1
80 and over 1,413 76 471 42 1 2
Male 75,628 39,580 33,433 633 385 19
Below 20 22,535 22,277 222 4 20 6

20-24 10,213 8,200 1,931 11 69 1
25-29 8,437 4,435 3,893 35 65 1
30-34 6,962 2,115 4,706 69 48 1
35-39 5,804 1,033 4,626 70 33 3
40-44 5,116 607 4,305 87 44
45-49 4,490 374 3,896 89 30 1
50-54 3,588 223 3,128 68 22 1
55-59 2,825 136 2,463 57 13 2
60-64 1,816 58 1,538 45 10 1
65-69 1,294 49 1,020 32 13 1
70-74 1,166 30 861 30 7
75-79 819 23 535 17 10 1
80 and over 563 20 309 19 1
Female 71,434 31,659 33,639 984 419 71
Below 20 21,859 20,930 832 8 70 12

20-24 9,412 5,816 3,446 46 79 13
25-29 7,317 2,485 4,643 85 65 14
30-34 6,055 985 4,844 107 42 7
35-39 4,905 466 4,192 96 40 6
40-44 4,699 282 4,106 107 32 9
45-49 4,252 196 3,593 136 31 4
50-54 3,625 133 2,922 106 19 2
55-59 2,619 98 1,963 76 13
60-64 1,888 67 1,238 56 11 1
65-69 1,468 46 788 53 4
70-74 1,469 60 570 50 11 1
75-79 1,016 39 340 35 2
80 and over 850 56 162 23 2
1 - 35
2015
and Over (Single)
Ifugao
Both Sexes 157,512 74,301 72,557 6,800 1,728 2,126 -
Below 20 42,784 41,731 836 - - 217 -

20-24 20,982 15,018 5,417 15 7 525 -
25-29 18,126 8,265 9,237 48 128 448 -
30-34 14,355 3,905 9,903 77 211 259 -
35-39 12,452 2,089 9,790 164 206 203 -
40-44 10,196 1,108 8,458 229 254 147 -
45-49 9,207 729 7,742 375 247 114 -
50-54 8,016 511 6,626 583 208 88 -
55-59 6,622 349 5,309 761 156 47 -
60-64 5,061 220 3,848 840 120 33 -
65-69 3,442 127 2,386 832 78 19 -
70-74 2,256 89 1,324 777 51 15 -
75-79 1,864 63 931 827 36 7 -
80 and over 2,149 97 750 1,272 26 4 -
Male 81,571 41,852 36,175 1,768 735 1,041 -
Below 20 21,933 21,736 146 - - 51 -

20-24 10,891 8,726 1,923 2 2 238 -
25-29 9,621 5,238 4,084 11 38 250 -
30-34 7,789 2,619 4,936 17 73 144 -
35-39 6,648 1,435 4,967 48 94 104 -
40-44 5,505 794 4,463 57 117 74 -
45-49 4,822 512 4,036 95 119 60 -
50-54 4,106 314 3,488 166 93 45 -
55-59 3,362 207 2,828 225 71 31 -
60-64 2,551 122 2,146 214 52 17 -
65-69 1,659 62 1,334 223 30 10 -
70-74 1,027 40 784 174 19 10 -
75-79 788 18 550 205 12 3 -
80 and over 869 29 490 331 15 4 -
Female 75,941 32,449 36,382 5,032 993 1,085 -
Below 20 20,851 19,995 690 - - 166 -

20-24 10,091 6,292 3,494 13 5 287 -
25-29 8,505 3,027 5,153 37 90 198 -
30-34 6,566 1,286 4,967 60 138 115 -
35-39 5,804 654 4,823 116 112 99 -
40-44 4,691 314 3,995 172 137 73 -
45-49 4,385 217 3,706 280 128 54 -
50-54 3,910 197 3,138 417 115 43 -
55-59 3,260 142 2,481 536 85 16 -
60-64 2,510 98 1,702 626 68 16 -
65-69 1,783 65 1,052 609 48 9 -
70-74 1,229 49 540 603 32 5 -
75-79 1,076 45 381 622 24 4 -
80 and over 1,280 68 260 941 11 - -
1 - 36
2000
and Over (Single)
Kalinga
Both Sexes 126,160 61,060 53,347 5,400 723 4,612 1,018
Below 20 41,342 39,623 840 32 13 328 506

20-24 15,743 11,164 3,656 35 38 676 174
25-29 13,043 5,198 6,898 76 66 713 92
30-34 11,410 2,334 8,142 122 101 654 57
35-39 10,024 1,180 7,919 219 97 568 41
40-44 8,610 600 7,112 348 103 419 28
45-49 6,469 349 5,304 408 69 321 18
50-54 5,292 200 4,273 482 63 258 16
55 and over 14,227 412 9,203 3,678 173 675 86
Men 64,539 33,348 26,652 1,518 213 2,307 501
Below 20 21,102 20,497 236 12 8 94 255

20-24 8,025 6,363 1,267 13 8 288 86
25-29 6,722 3,185 3,073 24 21 376 43
30-34 5,939 1,549 3,955 35 30 339 31
35-39 5,239 811 4,042 54 24 287 21
40-44 4,305 393 3,572 78 27 223 12
45-49 3,412 226 2,888 100 14 177 7
50-54 2,675 112 2,288 114 20 131 10
55 and over 7,120 212 5,331 1,088 61 392 36
Women 75,278 32,471 36,704 4,726 570 684 123
Below 20 20,240 19,126 604 20 5 234 251

20-24 7,718 4,801 2,389 22 30 388 88
25-29 6,321 2,013 3,825 52 45 337 49
30-34 5,471 785 4,187 87 71 315 26
35-39 4,785 369 3,877 165 73 281 20
40-44 4,305 207 3,540 270 76 196 16
45-49 3,057 123 2,416 308 55 144 11
50-54 2,617 88 1,985 368 43 127 6
55 and over 7,107 200 3,872 2,590 112 283 50
1 - 37
2010
and Over (Single)
Kalinga
Both Sexes 154,645 73,139 72,767 6,357 846 1,307 229
Below 20 46,720 45,384 1,120 5 14 136 61

20-24 19,308 13,587 5,260 23 57 344 37
25-29 15,420 6,382 8,540 55 77 336 30
30-34 13,416 3,014 10,025 111 108 134 24
35-39 11,852 1,581 9,833 191 109 113 25
40-44 10,845 1,045 9,291 305 110 82 12
45-49 9,444 714 8,130 442 104 47 7
50-54 7,982 488 6,746 604 94 41 9
55-59 6,130 309 5,003 731 44 35 8
60-64 4,566 206 3,498 788 42 27 5
65-69 3,290 146 2,308 788 34 9 5
70-74 2,695 117 1,658 891 26 2 1
75-79 1,563 71 842 631 17 1 1
80 and over 1,414 95 513 792 10 - 4
Male 79,367 40,668 36,063 1,631 276 623 106
Below 20 23,828 23,469 278 2 6 39 34

20-24 10,056 7,954 1,923 3 10 146 20
25-29 8,195 4,061 3,922 15 15 168 14
30-34 7,042 2,019 4,873 27 27 85 11
35-39 6,166 1,110 4,884 59 40 66 7
40-44 5,635 758 4,713 89 36 34 5
45-49 4,919 502 4,224 120 42 27 4
50-54 3,965 327 3,452 131 37 16 2
55-59 3,144 190 2,749 169 12 22 2
60-64 2,272 107 1,924 213 13 12 3
65-69 1,577 57 1,299 197 16 6 2
70-74 1,257 54 953 240 9 1
75-79 761 32 546 175 7 1
80 and over 550 28 323 191 6 2
Female 75,278 32,471 36,704 4,726 570 684 123
Below 20 22,892 21,915 842 3 8 97 27

20-24 9,252 5,633 3,337 20 47 198 17
25-29 7,225 2,321 4,618 40 62 168 16
30-34 6,374 995 5,152 84 81 49 13
35-39 5,686 471 4,949 132 69 47 18
40-44 5,210 287 4,578 216 74 48 7
45-49 4,525 212 3,906 322 62 20 3
50-54 4,017 161 3,294 473 57 25 7
55-59 2,986 119 2,254 562 32 13 6
60-64 2,294 99 1,574 575 29 15 2
65-69 1,713 89 1,009 591 18 3 3
70-74 1,438 63 705 651 17 1 1
75-79 802 39 296 456 10 1
80 and over 864 67 190 601 4 2
1 - 38
2015
and Over (Single)
Kalinga
Both Sexes 164,769 75,617 76,669 7,217 1,359 3,899 8
Below 20 46,160 44,959 844 10 13 326 8

20-24 20,120 13,597 5,299 29 83 1,112 -
25-29 17,474 7,201 9,111 63 145 954 -
30-34 14,243 3,514 9,879 108 183 559 -
35-39 12,811 2,084 10,058 140 216 313 -
40-44 11,216 1,332 9,200 281 177 226 -
45-49 10,136 934 8,493 422 148 139 -
50-54 8,782 676 7,276 576 138 116 -
55-59 7,442 495 5,938 829 111 69 -
60-64 5,527 312 4,247 863 67 38 -
65-69 3,941 184 2,815 883 38 21 -
70-74 2,853 136 1,758 932 13 14 -
75-79 2,020 82 1,033 884 14 7 -
80 and over 2,044 111 718 1,197 13 5 -
Male 85,019 42,905 37,982 1,779 495 1,858 -
Below 20 24,048 23,767 189 4 3 85 -

20-24 10,395 8,007 1,904 8 18 458 -
25-29 9,246 4,633 4,064 19 37 493 -
30-34 7,557 2,293 4,868 29 66 301 -
35-39 6,710 1,428 5,004 36 80 162 -
40-44 5,862 952 4,642 65 72 131 -
45-49 5,201 663 4,290 110 67 71 -
50-54 4,556 435 3,841 155 60 65 -
55-59 3,693 318 3,092 194 44 45 -
60-64 2,826 185 2,405 201 18 17 -
65-69 1,873 90 1,557 197 17 12 -
70-74 1,313 53 1,031 212 7 10 -
75-79 883 34 613 228 2 6 -
80 and over 856 47 482 321 4 2 -
Female 79,750 32,712 38,687 5,438 864 2,041 8
Below 20 22,112 21,192 655 6 10 241 8

20-24 9,725 5,590 3,395 21 65 654 -
25-29 8,228 2,568 5,047 44 108 461 -
30-34 6,686 1,221 5,011 79 117 258 -
35-39 6,101 656 5,054 104 136 151 -
40-44 5,354 380 4,558 216 105 95 -
45-49 4,935 271 4,203 312 81 68 -
50-54 4,226 241 3,435 421 78 51 -
55-59 3,749 177 2,846 635 67 24 -
60-64 2,701 127 1,842 662 49 21 -
65-69 2,068 94 1,258 686 21 9 -
70-74 1,540 83 727 720 6 4 -
75-79 1,137 48 420 656 12 1 -
80 and over 1,188 64 236 876 9 3 -
1 - 39
2000
and Over (Single)
Mountain Province
Both Sexes 104,523 51,335 44,876 5,809 825 1,328 350
Below 20 33,278 32,295 682 17 19 113 152

20-24 12,362 8,882 3,226 15 38 156 45
25-29 10,240 4,462 5,474 36 71 169 28
30-34 9,194 2,351 6,490 96 83 157 17
35-39 8,071 1,329 6,334 146 98 114 50
40-44 6,926 784 5,629 258 112 133 10
45-49 5,253 416 4,329 303 98 99 8
50-54 4,240 270 3,432 373 87 72 6
55 and over 14,959 546 9,280 4,565 219 315 34
Men 53,550 28,480 22,450 1,537 261 668 154
Below 20 17,164 16,867 173 6 8 38 72

20-24 6,428 5,171 1,152 4 4 76 21
25-29 5,432 2,823 2,479 10 17 90 13
30-34 4,933 1,533 3,254 28 20 88 10
35-39 4,252 856 3,264 37 29 54 12
40-44 3,639 532 2,926 72 47 60 2
45-49 2,742 268 2,312 77 28 52 5
50-54 2,119 171 1,771 107 29 39 2
55 and over 6,841 259 5,119 1,196 79 171 17
.
Women 50,973 22,855 22,426 4,272 564 660 196
Below 20 16,114 15,428 509 11 11 75 80

20-24 5,934 3,711 2,074 11 34 80 24
25-29 4,808 1,639 2,995 26 54 79 15
30-34 4,261 818 3,236 68 63 69 7
35-39 3,819 473 3,070 109 69 60 38
40-44 3,287 252 2,703 186 65 73 8
45-49 2,511 148 2,017 226 70 47 3
50-54 2,121 99 1,661 266 58 33 4
55 and over 8,118 287 4,161 3,369 140 144 17
1 - 40
2010
Sex HH Population Never Divorced/ Common Not
and Over (Single)
Mountain Province
Both Sexes 119,359 56,870 54,700 6,087 909 726 67
Below 20 34,827 33,889 809 5 15 96 13

20-24 15,182 10,696 4,272 18 38 139 19
25-29 11,820 5,130 6,488 41 49 101 11
30-34 9,954 2,443 7,264 69 81 92 5
35-39 8,528 1,448 6,772 127 102 74 5
40-44 8,031 999 6,673 190 107 58 4
45-49 7,191 765 5,935 315 122 54 -
50-54 6,188 524 5,027 471 114 48 4
55-59 4,752 334 3,817 491 86 21 3
60-64 3,588 210 2,639 657 66 16 -
65-69 2,874 157 1,951 699 53 14 -
70-74 2,619 124 1,464 983 45 3 -
75-79 1,840 69 897 853 16 4 1
80 and over 1,965 82 692 1,168 15 6 2
Male 61,411 32,031 27,161 1,500 347 351 21
Below 20 18,046 17,822 180 8 31 5

20-24 7,947 6,323 1,548 5 6 59 6
25-29 6,246 3,221 2,934 12 19 58 2
30-34 5,261 1,622 3,548 16 26 47 2
35-39 4,513 977 3,418 33 41 42 2
40-44 4,315 694 3,508 42 42 27 2
45-49 3,819 539 3,113 89 52 26
50-54 3,140 353 2,568 147 49 23
55-59 2,479 190 2,120 119 34 15 1
60-64 1,716 124 1,420 141 22 9
65-69 1,347 70 1,078 173 20 6
70-74 1,111 50 790 246 22 3
75-79 733 19 508 203 2 1
80 and over 738 27 428 274 4 4 1
Female 57,948 24,839 27,539 4,587 562 375 46
Below 20 16,781 16,067 629 5 7 65 8

20-24 7,235 4,373 2,724 13 32 80 13
25-29 5,574 1,909 3,554 29 30 43 9
30-34 4,693 821 3,716 53 55 45 3
35-39 4,015 471 3,354 94 61 32 3
40-44 3,716 305 3,165 148 65 21 2
45-49 3,372 226 2,822 226 70 28
50-54 3,048 171 2,459 324 65 25 4
55-59 2,273 144 1,697 372 52 6 2
60-64 1,872 86 1,219 516 44 7
65-69 1,527 87 873 526 33 8
70-74 1,508 74 674 737 23
75-79 1,107 50 389 650 14 3 1
80 and over 1,227 55 264 894 11 2 1
1 - 41
2015
Sex HH Population Never Divorced/ Common Not
and Over (Single)
Mountain Province
Both Sexes 121,588 57,019 55,526 6,287 982 1,773 1
Below 20 33,090 32,350 466 1 - 272 1

20-24 14,839 10,481 3,889 9 2 458 -
25-29 12,844 5,797 6,689 31 18 309 -
30-34 10,293 2,881 7,063 71 83 195 -
35-39 8,823 1,574 6,863 96 149 141 -
40-44 7,650 1,049 6,201 147 135 118 -
45-49 7,549 858 6,176 247 154 114 -
50-54 6,626 668 5,378 395 113 72 -
55-59 5,730 485 4,478 610 109 48 -
60-64 4,403 326 3,255 717 89 16 -
65-69 3,156 220 2,110 754 56 16 -
70-74 2,352 129 1,356 818 41 8 -
75-79 1,949 93 901 930 21 4 -
80 and over 2,284 108 701 1,461 12 2 -
Male 62,317 32,055 27,563 1,425 415 859 -
Below 20 17,141 16,972 99 - - 70 -

20-24 7,694 6,147 1,327 2 1 217 -
25-29 6,724 3,546 2,996 5 4 173 -
30-34 5,431 1,882 3,401 22 25 101 -
35-39 4,660 1,033 3,445 37 70 75 -
40-44 4,031 710 3,168 31 57 65 -
45-49 4,041 586 3,264 52 62 77 -
50-54 3,424 438 2,816 86 54 30 -
55-59 2,921 318 2,371 155 52 25 -
60-64 2,193 185 1,789 167 42 10 -
65-69 1,500 119 1,182 170 22 7 -
70-74 1,029 60 765 183 16 5 -
75-79 771 36 518 210 5 2 -
80 and over 757 23 422 305 5 2 -
Female 59,271 24,964 27,963 4,862 567 914 1
Below 20 15,949 15,378 367 1 - 202 1

20-24 7,145 4,334 2,562 7 1 241 -
25-29 6,120 2,251 3,693 26 14 136 -
30-34 4,862 999 3,662 49 58 94 -
35-39 4,163 541 3,418 59 79 66 -
40-44 3,619 339 3,033 116 78 53 -
45-49 3,508 272 2,912 195 92 37 -
50-54 3,202 230 2,562 309 59 42 -
55-59 2,809 167 2,107 455 57 23 -
60-64 2,210 141 1,466 550 47 6 -
65-69 1,656 101 928 584 34 9 -
70-74 1,323 69 591 635 25 3 -
75-79 1,178 57 383 720 16 2 -
80 and over 1,527 85 279 1,156 7 - -
1 - 42
Table 1.4C
MARITAL STATUS AND CITY
Census Years 1990, 1995, 2000, 2010 and 2015
1990
and Over (Single)
Baguio City
Both Sexes 136,220 67,350 63,620 4,193 812 98 147
10-14 18,222 18,065 109 9 3 5 31

15-19 21,384 20,544 775 15 15 9 26
20-24 21,948 16,146 5,671 34 46 24 27
25-29 17,770 6,851 10,724 74 80 23 18
30-34 14,435 2,604 11,522 149 137 9 14
35-39 11,330 1,135 9,822 229 126 7 11
40-44 8,550 631 7,484 296 128 7 4
45-49 6,235 420 5,388 332 86 6 3
50-54 5,342 319 4,428 513 76 3 3
55-59 3,661 220 2,926 463 45 3 4
60-64 2,773 132 2,073 541 25 1 1
65-69 1,800 108 1,221 451 17 - 3
70-74 1,257 63 764 416 13 1 -
75 and Over 1,513 112 713 671 15 - 2
Men 65,112 32,504 31,526 768 214 36 64
10-14 9,060 9,002 29 6 2 4 17

15-19 9,570 9,380 173 4 - 2 11
20-24 10,159 8,039 2,084 12 8 5 11
25-29 8,462 3,606 4,806 11 20 13 6
30-34 7,074 1,295 5,710 20 38 4 7
35-39 5,591 521 5,003 30 30 2 5
40-44 4,242 251 3,926 27 35 2 1
45-49 3,131 156 2,888 55 29 1 2
50-54 2,578 96 2,374 83 24 - 1
55-59 1,793 63 1,624 93 8 2 3
60-64 1,348 32 1,215 98 3 - -
65-69 833 22 724 82 5 - -
70-74 595 13 493 82 6 1 -
75 and Over 676 28 477 165 6 - -
Women 71,108 34,846 32,094 3,425 598 62 83
10-14 9,162 9,063 80 3 1 1 14

15-19 11,814 11,164 602 11 15 7 15
20-24 11,789 8,107 3,587 22 38 19 16
25-29 9,308 3,245 5,918 63 60 10 12
30-34 7,361 1,309 5,812 129 99 5 7
35-39 5,739 614 4,819 199 96 5 6
40-44 4,308 380 3,558 269 93 5 3
45-49 3,104 264 2,500 277 57 5 1
50-54 2,764 223 2,054 430 52 3 2
55-59 1,868 157 1,302 370 37 1 1
60-64 1,425 100 858 443 22 1 1
65-69 967 86 497 369 12 - 3
70-74 662 50 271 334 7 - -
75 and Over 837 84 236 506 9 - 2
1 - 43
Table 1.4C Continued
Census Years 1990, 1995, 2000, 2010 and 2015
Sex 1995
HH Population Never Divorced/ Common- Not
and Over (Single)
Baguio City
Both Sexes 170,941 84,053 78,393 5,353 1,254 1,370 518
10-14 22,696 22,393 171 - - - 103

15-19 29,416 28,034 1,077 17 17 137 120
20-24 24,935 18,154 6,239 51 68 171 103
25-29 21,520 7,932 12,923 120 137 325 68
30-34 17,657 3,265 13,795 171 188 188 34
35-39 15,101 1,709 12,735 274 222 154 17
40-44 11,200 855 9,675 410 154 85 17
45-49 8,819 564 7,538 479 171 68 17
50-54 5,821 359 4,769 564 103 17 -
55-59 4,575 239 3,675 581 68 17 17
60-64 3,524 205 2,564 684 51 17 -
65-69 2,319 137 1,538 598 34 - -
70-74 1,458 103 821 513 17 - -
75 and Over 1,900 103 872 872 17 17 -
Men 81,976 40,912 38,827 1,018 353 645 221
10-14 11,459 11,316 85 - - - 51

15-19 13,081 12,667 291 - - 34 68
20-24 11,492 8,991 2,291 17 17 137 51
25-29 10,425 4,342 5,812 34 34 171 34
30-34 8,799 1,846 6,769 34 51 103 17
35-39 7,552 838 6,513 51 68 85 -
40-44 5,508 359 5,009 51 51 51 -
45-49 4,449 239 4,051 85 51 34 -
50-54 2,834 120 2,581 85 34 17 -
55-59 2,235 68 2,034 103 17 17 -
60-64 1,640 51 1,436 120 17 17 -
65-69 1,077 34 889 137 17 - -
70-74 639 34 496 103 - - -
75 and Over 786 34 530 205 - - -
Women 88,965 43,141 39,566 4,335 901 725 297
10-14 11,237 11,077 85 - - - 68

15-19 16,335 15,351 769 17 17 103 68
20-24 13,443 9,162 3,932 34 51 205 51
25-29 11,095 3,607 7,111 85 103 154 34
30-34 8,858 1,419 7,026 137 137 103 17
35-39 7,549 872 6,222 239 154 68 17
40-44 5,692 513 4,667 359 103 34 17
45-49 4,370 342 3,487 393 120 34 17
50-54 2,987 239 2,188 479 68 - -
55-59 2,340 154 1,641 479 51 17 -
60-64 1,884 154 1,111 564 34 - -
65-69 1,242 103 650 462 34 - -
70-74 819 68 325 410 17 - -
75 and Over 1,114 68 325 684 17 - -
1 - 44
Census Years 1990, 1995, 2000, 2010 and 2015
2000
and Over (Single)
Baguio City
Both Sexes 193,005 92,256 86,619 6,619 1,947 4,186 1,378
Below 20
20-24 57,085 54,888 1,127 21 25 369 655
25-29 27,573 19,718 6,562 29 83 946 235
30-34 21,007 7,813 12,124 72 145 735 118
35-39 19,694 3,935 14,657 147 243 600 112
40-44 17,492 2,337 13,955 250 343 534 73
45-49 14,422 1,281 11,875 475 344 394 53
50-54 11,054 820 9,112 569 269 244 40
55 and over 8,056 536 6,446 700 211 134 29
16,622 928 10,761 4,356 284 230 63
Men 93,138 45,232 43,217 1,377 572 2,068 672
Below 20 27,408 26,572 367 5 8 137 319

20-24 12,796 9,784 2,444 6 20 434 108
25-29 10,068 4,103 5,504 13 30 363 55
30-34 9,613 2,058 7,092 32 64 310 57
35-39 8,705 1,231 7,019 44 99 271 41
40-44 7,164 593 6,165 88 100 191 27
45-49 5,507 385 4,788 104 80 126 24
50-54 4,130 222 3,604 133 73 84 14
55 and over 7,747 284 6,234 952 98 152 27
Women 99,867 47,024 43,402 5,242 1,375 2,118 706
Below 20 29,677 28,316 760 16 17 232 336

20-24 14,777 9,934 4,118 23 63 512 127
25-29 10,939 3,710 6,620 59 115 372 63
30-34 10,081 1,877 7,565 115 179 290 55
35-39 8,787 1,106 6,936 206 244 263 32
40-44 7,258 688 5,710 387 244 203 26
45-49 5,547 435 4,324 465 189 118 16
50-54 3,926 314 2,842 567 138 50 15
55 and over 8,875 644 4,527 3,404 186 78 36
1 - 45
Census Years 1990, 1995, 2000, 2010 and 2015
2010
and Over (Single)
Baguio City
Both Sexes 256,051 120,551 115,106 8,901 3,417 7,903 173
Below 20 65,149 63,717 849 13 21 503 46

20-24 37,401 28,311 6,891 35 124 2,007 33
25-29 30,575 13,540 14,959 49 249 1,942 18
30-34 24,797 5,582 17,508 123 392 1,174 18
35-39 20,214 2,870 15,847 232 481 776 8
40-44 19,215 2,082 15,678 381 520 549 5
45-49 16,872 1,515 13,776 663 534 376 8
50-54 13,714 1,055 10,946 1,005 135 262 11
55-59 9,872 650 7,650 1,136 283 146 7
60-64 7,021 465 5,017 1,263 199 69 8
65-69 4,172 303 2,680 1,061 86 40 4
70-74 3,135 193 1,773 1,097 45 25 2
75-79 1,850 115 889 798 28 16 4
80 and over 1,880 153 643 1,045 20 18 1
Men 123,156 59,917 56,672 1,665 988 3,846 68
Below 20 31,922 31,537 236 2 7 127 13

20-24 17,497 14,086 2,517 5 29 843 17
25-29 14,934 7,131 6,713 13 65 1,003 9
30-34 12,313 3,014 8,510 24 124 631 10
35-39 9,956 1,496 7,852 52 144 410 2
40-44 9,257 992 7,773 66 133 290 3
45-49 8,130 668 6,962 127 158 213 2
50-54 6,668 417 5,792 208 110 138 3
55-59 4,671 234 4,044 207 92 91 3
60-64 3,318 148 2,823 227 76 40 4
65-69 1,814 90 1,495 186 21 22
70-74 1,297 57 1,009 195 15 21
75-79 7,362 17 538 160 7 8 2
80 and over 647 30 408 193 7 9
Women 132,895 60,634 58,434 7,236 2,429 4,057 105
Below 20 33,227 32,180 613 11 14 376 33

20-24 19,904 14,225 4,374 30 95 1,164 16
25-29 15,823 6,409 8,246 36 184 939 9
30-34 12,484 2,568 8,998 99 268 543 8
35-39 10,258 1,374 7,995 180 337 366 6
40-44 9,958 1,090 7,905 315 387 259 2
45-49 8,742 847 6,814 536 376 163 6
50-54 7,046 638 5,154 797 325 124 8
55-59 5,201 416 3,606 929 191 55 4
60-64 3,703 317 2,194 1,036 123 29 4
65-69 2,360 213 1,185 875 65 18 4
70-74 1,838 136 764 902 30 4 2
75-79 1,118 98 351 638 21 8 2
80 and over 1,233 123 235 852 13 9 1
1 - 46
Census Years 1990, 1995, 2000, 2010 and 2015
2015
and Over (Single)
Baguio City
Both Sexes 270,245 131,206 109,082 9,894 3,819 16,244 -
Below 20 70,753 69,746 263 0 0 744 -

20-24 36,879 29,319 4,096 4 51 3,409 -
25-29 29,876 14,716 10,929 49 268 3,914 -
30-34 25,567 6,755 15,399 96 435 2,882 -
35-39 22,021 3,484 15,810 173 571 1,983 -
40-44 17,936 1,952 13,894 323 547 1,220 -
45-49 17,388 1,686 13,691 625 560 826 -
50-54 15,138 1,350 11,707 990 492 599 -
55-59 12,148 943 9,272 1,234 381 318 -
60-64 8,814 514 6,396 1,477 240 187 -
65-69 5,772 327 3,855 1,383 127 80 -
70-74 3,374 189 1,882 1,189 73 41 -
75-79 2,320 108 1,134 1,013 42 23 -
80 and over 2,259 117 754 1,338 32 18 -
Men 130,265 65,468 53,650 1,846 1,274 8,027 -
Below 20 34,571 34,287 63 0 0 221 -

20-24 17,707 14,881 1,439 1 5 1,381 -
25-29 14,482 7,802 4,698 12 78 1,892 -
30-34 12,600 3,660 7,248 29 132 1,531 -
35-39 10,811 1,792 7,710 37 186 1,086 -
40-44 8,799 947 6,957 61 163 671 -
45-49 8,424 800 6,813 131 213 467 -
50-54 7,368 617 6,030 207 166 348 -
55-59 5,823 351 4,892 228 146 206 -
60-64 4,055 162 3,406 287 87 113 -
65-69 2,603 82 2,183 241 39 58 -
70-74 1,397 42 1,096 199 34 26 -
75-79 883 21 648 188 13 13 -
80 and over 742 24 467 225 12 14 -
Women 139,980 65,738 55,432 8,048 2,545 8,217 -
Below 20 36,182 35,459 200 0 0 523 -

20-24 19,172 14,438 2,657 3 46 2,028 -
25-29 15,394 6,914 6,231 37 190 2,022 -
30-34 12,967 3,095 8,151 67 303 1,351 -
35-39 11,210 1,692 8,100 136 385 897 -
40-44 9,137 1,005 6,937 262 384 549 -
45-49 8,964 886 6,878 494 347 359 -
50-54 7,770 733 5,677 783 326 251 -
55-59 6,325 592 4,380 1,006 235 112 -
60-64 4,759 352 2,990 1,190 153 74 -
65-69 3,169 245 1,672 1,142 88 22 -
70-74 1,977 147 786 990 39 15 -
75-79 1,437 87 486 825 29 10 -
80 and over 1,517 93 287 1,113 20 4 -
1 - 47
Table 1.5
AGE DEPENDENCY RATIO BY PROVINCE/CITY
Ratio
Area
1970 1975 1980 1990 1995 2000 2010 2015
Philippines 94.5 88.1 83.3 75.5 71.9 69.0 60.3 57.7
Youth 88.8 82.7 77.1 69.5 65.9 62.5 53.4 50.2

Old 5.6 5.4 6.2 6.0 6.0 6.5 6.9 7.5
CAR 92.2 85.2 79.6 77.5 73.1 70.7 57.2 56.8
Youth 86.7 79.9 73.6 71.2 66.6 63.6 49.9 48.9

Old 5.5 5.3 6.0 6.3 6.5 7.1 7.3 7.9
Abra 89.9 84.3 80.7 79.5 74.5 69.0 62.2 61.8
Youth 80.5 75.0 70.2 68.8 64.1 58.3 51.3 50.2

Old 9.4 9.3 10.5 10.7 10.4 10.7 10.9 11.7
Apayao a/ a/ 82.3 78.1 72.8 72.2 62.9 58.1
Youth a/ a/ 78.0 73.0 67.2 65.8 55.5 50.0

Old a/ a/ 5.3 5.1 5.6 6.4 7.4 8.2
Benguet 96 c/ 88.4 81.2 79.9 75.9 71.6 53.0 50.5
Youth 92.5 c/ 84.9 77.4 75.4 70.7 65.7 46.9 44.1

Old 3.5 c/ 3.5 3.8 4.5 5.2 5.9 6.1 6.5
Baguio City 77.4 67.2 61.4 58.6 54.7 56.4 45.5 53.3
Youth 73.9 63.5 57.2 54.6 50.8 52.0 40.4 47.2

Old 3.4 3.7 4.2 4.0 3.9 4.4 5.1 6.1
Ifugao 97.3 92.5 87.2 88.4 84.6 81.0 63.8 60.6
Youth 92.8 89.0 82.0 82.1 77.4 73.1 56.4 52.9

Old 4.5 3.5 5.2 6.3 7.2 7.9 7.4 7.7
Kalinga 95.7 b/ 89.8 b/ 85.9 83.4 79.2 78.0 64.6 62.6
Youth 91 b/ 89.9 b/ 80.8 77.9 73.4 71.5 57.3 54.3

Old 4.7 b/ 4.6 b/ 5.1 5.5 5.8 6.5 7.3 8.3
Mountain Province 93.7 84.4 80.7 81.0 81.7 78.6 66.0 62.1
Youth 86.4 76.9 72.4 71.6 72.0 68.7 56.0 51.9

Old 7.3 7.5 8.3 9.4 9.7 9.9 10.0 10.2
a/ See Kalinga
b/ Includes Apayao
c/ Benguet excludes Baguio City
1 - 48
Table 1.6
SEX RATIO BY PROVINCE/CITY
Men Per 100 Women

Area
1980 1990 1995 2000 2010 2015
Philippines 100.7 101.1 101.6 101.4 102.0 102.3
CAR 102.4 102.4 103.3 103.9 104.2 104.4
Abra 101.4 102.3 102.9 104.2 104.0 104.4
Apayao 106.1 107.9 105.6 105.9 107.1 108.9
Baguio City 94.7 94.8 96.1 96.9 96.2 94.6
Benguet 1/ 107.9 106.8 107.1 106.8 107.1 107.9
Ifugao 100.5 99.0 103.8 104.3 106.3 106.9
Kalinga 103.3 103.6 104.6 105.7 106.5 107.6
Mt. Province 99.7 103.1 104.6 105.9 106.1 105.9
1/ Excludes Baguio City.

Table 1.7
NUMBER OF MIGRANTS BY SEX AND PROVINCE
1985-1990
Province / Incoming Outgoing

City Both Sexes Men Women Both Sexes Men Women
CAR 32,411 18,090 14,321 36,371 17,759 18,612
Abra 2,993 1,287 1,706 5,751 2,651 3,100
Benguet 1/ 20,196 11,964 8,232 14,208 7,069 7,139
Ifugao 2,634 1,376 1,258 4,161 2,084 2,077
Kalinga-Apayao 3,769 1,966 1,803 6,627 3,160 3,467
Mt. Province 2,819 1,497 1,322 5,624 2,795 2,829
1/ Includes Baguio City

1 - 49
Table 1.8A
LANGUAGE/DIALECT GENERALLY SPOKEN BY PRIVATE HOUSEHOLDS BY PROVINCE/CITY
Census Year 1995
Language/ CAR Abra Apayao Baguio Benguet Ifugao Kalinga Mt.

Dialect City Province
Total 1,246,536 195,430 83,271 222,639 311,839 149,452 153,629 130,276

% to Total 100.00 15.68 6.68 17.86 25.02 11.99 12.32 10.45
Abaknon 0.01 0.01 0.03 * * - * 0.02

Aburlin * * * * * - * 0.02
Agta * - - - - - * -
Aklanon * * - 0.01 * * * *
Apayao (Isneg) 2.31 * 34.47 0.01 0.01 * 0.04 0.01
Ata-Manobo * - - - * - - -
Badjao, Sama Dilaut 0.01 - * * 0.02 * * 0.01
Bagobo 0.01 * 0.09 * * * * *
Bagobo - Guianga * - - - - * - -
Balangao 0.79 * 0.02 0.05 0.01 0.10 * 7.31
Bantoanon * - * 0.01 * * * *
Bikol 0.13 0.07 0.13 0.41 0.11 0.03 0.02 0.01
Boholano 0.01 * 0.01 0.01 0.02 * * 0.01
Bontok 3.82 0.01 3.57 3.02 1.85 0.35 2.26 21.62
Butuanon * - - * * 0.01 0.01 0.01
B'laan * 0.01 0.01 * * * - 0.01
Caviteno - Chavacano * * 0.01 0.01 * * * 0.01
Cebuano 0.12 0.04 0.02 0.43 0.12 0.03 0.01 0.02
Cotabateno - Chavacano 0.01 * * 0.02 * * * 0.02
Cuyunin * - - - - - - *
Davao - Chavacano 0.01 0.01 - 0.02 0.01 * * 0.02
Davaweno * * - - - - - -
Gaddang (Ga-dang) 0.54 - - * * 0.60 0.62 3.76
Hamtikanon/Hamtikon 0.01 * 0.01 0.01 0.01 0.01 * *
Hiligaynon - Ilonggo 0.05 0.03 * 0.18 0.02 0.01 0.01 0.01
Ibaloi 7.26 0.01 0.85 3.44 26.24 0.09 0.03 0.12
Ibanag 0.12 0.01 0.08 0.10 0.03 0.11 0.57 0.01
Ifugao 10.56 0.01 0.02 1.60 1.07 83.06 0.05 0.36
Ikalahan 0.88 - 0.03 0.14 3.39 0.01 * 0.01
Ilanun 0.01 0.01 0.01 0.02 0.01 0.01 0.01 *
Ilocano 34.83 71.93 50.30 50.00 20.80 14.68 29.74 6.11
Ilongot 0.04 0.02 0.12 0.11 0.03 0.02 * 0.01
Isamal Kanlaw 0.01 * 0.02 0.01 0.01 * 0.02 0.01
Isinai * * * 0.01 0.01 * 0.01 *
Itawis 0.15 * 1.00 0.01 * 0.03 0.63 *
Ivatan / Itbayat * - - * * 0.01 0.01 *
I'wak 0.02 * 0.01 - 0.05 0.01 0.01 -
Jama Mapun * - - * * * 0.01 -
Kaagan * - - - * * * -
Kagayanen * * * * * * 0.02 0.01
Kalagan * - * * * * 0.02 *
Kalamianen 0.01 * * * * * 0.04 *
Kalinga 8.43 0.05 2.82 0.52 0.55 0.12 62.80 2.40
Kamayo * * * * * - 0.02 *
Kamigin * - - * * - * 0.02
Note: Except for totals, data is in percentage.
* Percentage of less than 0.01
1 - 50

Kankanai 11.81 0.01 0.40 9.07 40.13 0.03 0.83 0.15

Kankaney 5.52 0.01 0.17 0.07 0.09 0.12 0.63 51.45
Kapampangan 0.24 0.06 0.01 1.08 0.10 0.01 0.02 0.04
Karaga * - - * * - - *
Kasiguranin * - - * * * * *
Kolibugan 0.01 * - 0.01 0.02 - - *
Maguindanao 0.01 * 0.01 0.01 0.01 * * 0.03
Malaueg 0.30 * 4.40 0.01 0.01 - * *
Mamanwa * - * * * - - -
Mandaya * - - - * - - -
Mangyan * - - * * - - -
Manobo * * - * * - - -
Maranao 0.06 0.04 * 0.25 * - 0.04 *
Masbateno * * * 0.01 * * * *
Molbog * - - * - - - -
Negrito 0.03 * 0.41 * * - - *
Palawan * - * * * * - *
Pangasinan 1.14 0.04 0.01 4.02 1.59 0.03 0.04 0.05
Paranan * - - * * - - -
Pinalawan * - - - - * - -
Rombloanon * 0.01 * * * * * *
Sama Dilaya * - - * - * * -
Sambal 0.01 * * 0.05 0.01 * * *
Sangil/Sangir * - - * * * * -
Subanon * - * * * - - -
Subanun * * - * * - - *
Sulod * - * * * - - -
Tagalog 5.05 0.62 0.54 22.74 2.60 0.29 1.23 0.18
Tagbanwa 0.01 0.01 - 0.02 0.01 - * *
Tausug * * 0.01 0.01 * * * *
Ternateno - Chavacano * 0.01 - * - - * 0.01
Tinggian 4.22 26.68 0.16 0.06 0.01 0.06 0.06 *
Tiruray * * * - - - - *
T'boli * * * * * - - *
Ubo * * - * * - - *
Waray 0.06 0.05 * 0.24 0.04 0.01 0.02 0.01
Yakan * * - * * - * *
Yogad 0.01 * - * * 0.04 * *
Zamboangeno - Chavacano 0.01 0.01 * 0.04 0.01 * * *
Chinese 0.03 0.02 - 0.11 0.02 - * *
English 0.21 0.01 * 0.90 0.17 0.02 * 0.03
Other Local Dialects 0.82 * 0.14 0.40 0.48 0.01 0.10 5.82
Other Foreign Languages 0.04 * * 0.17 0.01 * 0.01 0.02
Not Stated 0.23 0.17 0.06 0.53 0.28 0.05 0.03 0.25
1 - 51
Table 1.8B
Census Year 2000

Total 1,360,611 209,146 97,058 249,539 329,216 161,483 173,638 140,531
Abelling 56 2 2 10 15 5 14 8
Abiyan 114 18 3 10 32 6 19 26
Aburlin 51 10 4 4 14 1 12 6
Aeta/Ayta 631 1 568 27 24 3 5 3
Aggay 239 28 111 51 22 4 15 8
Agta 40 1 35 - 2 2 - -
Agutaynon/Agutayanon 454 1 2 20 13 416 2 -
Akeanon/Aklanon 297 55 17 105 67 11 24 18
Alangan 13 1 - 2 3 4 - 3
Apayao/Yapayao 168 2 7 80 52 9 8 10
Applai 12,752 8 865 3,668 3,533 1 1,730 2,947
Atta/Ata/Ati 52 1 3 2 23 19 2 2
Ayangan 10,209 9 3 10 94 9,935 152 6
Badjao, Sama Dilaut 54 - - 2 31 6 - 15
Bagobo/ Guinga 27 - - 4 13 1 - 9
Balangao/ Baliwon 19,445 - - 209 320 26 4 18,886
Bantoanon 25 - 1 3 10 1 - 10
Banwaon 30 8 - 2 - 2 - 18
Batak/ Binatak 8 - - 1 - 1 2 4
Batangan 111 3 - 70 15 6 8 9
Bikol/Bicol 2,379 138 47 1,580 363 95 84 72
Bilaan/B'laan 33 - 1 10 6 - 15 1
Binukid/Bukidnon 48 3 2 24 9 3 4 3
Bisaya/Binisaya 2,498 94 83 1,665 416 83 139 18
Boholano 166 8 25 85 22 16 6 4
Bolinao 88 1 6 41 24 9 5 2
Bugkalot 86 1 56 16 9 - 2 2
Bontok/Binontok 12,361 1 1,014 4,548 2,486 198 1,604 2,510
Buhid 62 1 - 58 1 - 1 1
Butuanon 52 2 - 31 5 - 14 -
Capizeno 1 - - - - - - 1
Caviteno 165 2 3 20 111 3 22 4
Caviteno - Chavacano 35 2 - 20 5 7 1 -
Cebuano 1,465 75 28 1,044 196 35 74 13
Cimaron 11 4 - 3 4 - - -
Cotabateno 23 6 - 6 1 1 6 3
Cotabateno-Chavacano 119 - - 99 15 - 2 3
Cuyunon/Cuyunan 22 - 1 3 13 4 - 1
Davao - Chavacano 136 8 - 40 61 11 13 3
Davaweno 88 4 9 40 17 5 10 3
Dibabawon 10 2 1 2 2 2 1 -
Dumagat/Dumagat (Umiray) 20 1 1 4 12 - 2 -
Gaddang 1,043 - 4 14 14 473 462 76
Gubatnon 40 - - 12 8 16 1 3
Hamtikanon 134 - 1 11 104 10 - 8
Hanunuo 35 - - 10 12 8 1 4
Higaonon 43 - - 5 20 5 3 10
Note: Except for totals, data are in percentage.
* Percentage of less than 0.01
1 - 52

Hiligaynon - Ilonggo 1,636 107 42 1,140 212 58 59 18

Ibaloi/Inibaloi 106,654 5 979 9,738 95,568 126 137 101
Ibanag 11,132 9,334 159 272 53 145 1,090 79
Ibontoc 29,331 5 298 4,441 4,297 252 2,804 17,234
Ifugao 119,707 17 37 5,100 3,982 109,659 558 354
Ikalahan/Kalanguya 26,782 1 1 646 12,147 13,946 2 39
Ilanun/Ilanuan 46 - - 8 25 10 3 -
Ilocano 425,673 150,457 49,328 111,132 43,984 22,171 41,633 6,968
Ilongot 264 9 23 72 146 5 9 -
Iranon 90 - - 7 38 12 31 2
Iraya 39 23 5 5 5 1 - -
Isamal Kanlaw 117 20 42 21 25 2 5 2
Isarog 132 13 6 20 5 1 86 1
Isinay 17 - 3 3 3 3 5 -
Isnag 29,098 4 29,071 10 10 - 3 -
Isneg 3,616 15 3,380 65 14 6 128 8
Itawis 2,079 3 917 48 - 24 1,085 2
Itawit 192 1 10 2 1 - 178 -
Itneg 7,655 6,624 520 169 51 28 260 3
Ivatan/Itbayat 22 7 3 6 1 - 5 -
Iwak/I'wa/Owak 363 - 3 3 340 - 13 4
Iyapplai 1,253 1 31 1,082 28 - 11 100
Iyiwaks 24 2 2 3 3 - 6 8
Jawa Mapun 8 - - - - - 7 1
Kaagan 21 - 6 4 1 - 10 -
Kabihug 37 - - 1 - - 34 2
Kagayanan 162 1 - 4 2 1 152 2
Kalagan 51 3 6 4 4 - 34 -
Kalamianen 48 - 2 2 4 - 36 4
Kalinga 121,019 16 2,992 1,753 1,981 35 111,774 2,468
Kamayo 11 - 6 5 - - - -
Kamigin/Kinamigin 19 - - 5 5 2 7 -
Kankanai/Kankaney 250,376 756 1,208 28,963 141,134 1,037 4,421 72,857
Kapampangan 3,530 147 26 2,905 289 35 109 19
Kapul 9 1 - 1 1 2 - 4
Karaga 3 - - 3 - - - -
Karao 1,432 - - 4 1,426 - 1 1
Karay-a 26 4 2 8 5 2 - 5
Karolanos 2 - - 1 - 1 - -
Kasigurahin 1 - 1 - - - - -
Kinalinga 341 1 3 79 155 - 75 28
Kinaray-a 154 - 7 35 24 20 30 38
Kolibugan/Kalibugan 1 - - - - - - 1
Ligbuk/Lugbok 9 - 3 5 1 - - -
Maguindanao 107 1 11 76 15 - 4 -
Malaueg 3,603 1 3,580 4 - - 18 -
Mandaya 2 - 2 - - - - -
Manobo/Ata-Manobo 263 51 17 69 54 26 16 30
Maranao 1,017 99 7 740 61 8 81 21
Masbateno/Masbatenon 170 16 3 74 45 13 15 4
Negrito 17 - 16 1 - - - -
Palawan/Pinalawan 12 - - 9 1 - - 2
1 - 53
Census Year 2000

Pangasinan/Panggalato 18,139 89 45 12,051 5,495 126 236 97

Pinangal 1 - - - - 1 - -
Remontado 1 - - - - 1 - -
Romblo/Rombloanon 24 - - 20 4 - - -
Sama (Samal)/ Abaknon 95 10 11 23 20 4 24 3
Sama Dilaya 2 - - - - - - 2
Sambal, Zambal 191 6 4 164 12 1 4 -
Subanen (Sicon,Zambo,Norte) 17 - - 16 - 1 - -
Surigaonon 702 39 18 81 462 47 27 28
Tagabawa 9 9 - - - - - -
Tagalog 62,796 869 384 51,014 7,773 398 2,227 131
Talaandig 2 2 - - - - - -
Tausug 141 3 6 75 39 - 5 13
T'boli 3 3 - - - - - -
Teduray 12 11 - - - 1 - -
Ternateno - Chavacano 8 2 - 3 2 1 - -
Tigwahon/Tigwahanon 7 7 - - - - - -
Tinggian 39,700 39,115 182 47 10 - 346 -
Tiruray 24 3 - - - 21 - -
Tuwali 486 29 2 122 33 296 3 1
Ubo 14 14 - - - - - -
Waray 686 65 20 445 110 13 15 18
Yogad 37 - - 3 - 31 3 -
Yakan 2 - - - - - - 2
Zamboangeno - Chavacano 87 11 3 50 10 1 11 1
Other Local Ethnicity 17,121 6 144 964 67 911 391 14,638
Chinese 447 27 3 356 43 2 8 8
American 736 8 - 549 167 10 - 2
Other Foreign Ethnicity 428 16 - 346 29 21 4 12
Not Reported 4,381 556 575 791 575 522 930 432
1 - 54
Fig. 1.1 Ten Most Widely Spoken Dialects
CAR, 2000 (In Number)
460000
410000
360000
310000
Number
260000
210000
160000
110000
60000
10000
Mother Tongue
Fig. 1.2 Dominant Dialect by Province

CAR, 2000 (In Percent)
100%
90%
80%
70%
60%
50%
40% Ilocano Ifugao

Ilocano Kankanaey
71.9 67.9
44.5 51.8
30%
20% Ilocano Kankanaey Kalinga

50.8 42.9 64.4
10%
0%
Other Dialects
Dominant
1 - 55
Table 1.9A
HOUSEHOLD POPULATION FIVE YEARS AND OVER BY SEX AND PLACE OF RESIDENCE
5 YEARS AGO BY PROVINCE/CITY
Census Year 2000
Place of Residence 5 Years Ago

Area Household Population Same City/ Other City/Municipality Other Foreign Not Stated
Sex 5 Years old and over Municipality Same Province Province Country (Unknown)
Philippines 66,666,156 61,833,874 747,112 1,967,929 151,427 1,965,814
CAR 3,706,499 1,126,487 11,761 27,088 5,391 17,342
Male 1,854,000 574,330 5,695 12,662 1,785 8,606

Female 1,852,499 552,157 6,066 14,426 3,606 8,736
Abra 185,997 177,120 1,836 2,356 1,635 3,050
Male 94,607 90,729 831 1,091 406 1,550

Female 91,390 86,391 1,005 1,265 1,229 1,500
Apayao 84,374 79,197 264 1,814 156 2,943
Male 43,402 40,764 128 959 41 1,510

Female 40,972 38,433 136 855 115 1,433
Benguet 289,230 275,600 4,672 3,437 863 4,658
Male 149,249 142,541 2,309 1,779 256 2,364

Female 139,981 133,059 2,363 1,658 607 2,294
Baguio City 220,231 198,338 2,494 14,177 1,543 3,679
Male 107,018 97,343 1,149 6,056 749 1,721

Female 113,213 100,995 1,345 8,121 794 1,958
Ifugao 140,301 134,910 911 2,057 306 2,117
Male 71,596 68,932 461 1,076 55 1,072

Female 68,705 65,978 450 981 251 1,045
Kalinga 150,171 143,697 1,325 1,992 332 2,825
Male 76,841 73,637 662 1,006 111 1,425

Female 73,330 70,060 663 986 221 1,400
Mt. Province 122,942 117,625 523 3,069 712 1,013
Male 63,003 60,384 283 1,654 208 474

Female 59,939 57,241 240 1,415 504 539
1 - 56
Table 1.9B
HOUSEHOLD POPULATION FIVE YEARS AND OVER BY SEX AND PLACE OF RESIDENCE
5 YEARS AGO BY PROVINCE/CITY
Census Year 2010
Place of Residence 5 Years Ago

Area Household Population Same City/ Other City/Municipality Other Foreign Not Stated
Sex 5 Years old and over Municipality Same Province Province Country (Unknown)
Philippines 81,866,777 79,053,013 786,990 1,890,038 120,022 16,714
CAR 1,441,546 1,383,999 15,840 36,894 4,798 15
Male 733,036 705,991 7,594 17,742 1,703 6

Female 708,510 678,008 8,246 19,152 3,095 9
Abra 209,199 203,564 1,986 2,537 1,105 7
Male 106,237 103,858 910 1,170 296 3

Female 102,962 99,706 1,076 1,367 809 4
Apayao 100,007 98,066 259 1451 231 -
Male 51,632 50,756 127 697 52 -

Female 48,375 47,310 132 754 179 -
Benguet 361,666 345,133 8338 7,492 700 3
Male 186,959 178,512 4134 4071 242 -

Female 174,707 166,621 4204 3421 458 3
Baguio City 286,291 263,905 2,611 17,994 1,778 3
Male 138,905 128,911 1,166 7,940 887 1

Female 147,386 134,994 1,445 10,054 891 2
Ifugao 169,027 165,693 977 2,203 154 -
Male 87,018 85,363 483 1,134 38 -

Female 82,009 80,330 494 1,069 116 -
Kalinga 178,292 175,653 760 1,600 277 2
Male 91,699 90,431 354 840 72 2

Female 86,593 85,222 406 760 205 -
Mt. Province 137,064 131,985 909 3,617 553 -
Male 70,586 68,160 420 1,890 116 -

Female 66,478 63,825 489 1,727 437 -
1 - 57
Table 1.10
PROJECTED NET MIGRATION RATE BY SEX AND BY REGION
2010-2045
(In Percent)
Projected Net Migration Rate

Region /Sex
2010-2015 2015-2020 2020-2025 2025-2030 2030-2035 2035-2040 2040-2045

Men 0.00498 0.00823 0.01082 0.01277 0.01418 0.01517 0.01585
Women 0.00600 0.00906 0.01145 0.01323 0.01451 0.01540 0.01600
Abra
Men (0.00963) (0.00677) (0.00462) (0.00309) (0.00203) (0.00132) (0.00085)
Women (0.00117) (0.00834) (0.00579) (0.00391) (0.00260) (0.00170) (0.00110)
Apayao
Men 0.00179 0.00041 (0.00106) (0.00267) (0.00450) (0.00668) (0.00938)
Women 0.00045 (0.00101) (0.00262) (0.00444) (0.00660) (0.00928) (0.01278)
Benguet
Men 0.01315 0.01846 0.02565 0.03478 0.04536 0.05620 0.06574
Women 0.02209 0.03035 0.04036 0.05127 0.06160 0.06989 0.07550
Ifugao
Men (0.00414) (0.00275) (0.00181) (0.00117) (0.00076) (0.00049) (0.00031)
Women (0.00580) (0.00393) (0.00261) (0.00171) (0.00111) (0.00071) (0.00046)
Kalinga
Men (0.00499) (0.00586) (0.00677) (0.00776) (0.00884) (0.01007) (0.01151)
Women (0.00702) (0.00803) (0.00915) (0.01043) (0.01192) (0.01373) (0.01600)
Mt. Province
Men 0.00379 0.00352 0.00325 0.00298 0.00271 0.00244 0.00216
Women (0.00032) (0.00030) (0.00027) (0.00025) (0.00023) (0.00020) (0.00018)
Notes: 1. Net internal migration rate is the ratio of the difference between the in-migrants and out-migrants
in a population to the mid-year population during the same period.
2. Figures are based on the 2010 Census of Population.
3. Figures inside parentheses indicate outmigration.
1 - 58
Table 1.11
NUMBER OF IN-MIGRANTS BY SEX AND AREA OF ORIGIN BY PROVINCE
1985-1990
Area CAR Abra Benguet Ifug
of Both Both Both
Origin Sexes Male Female Sexes Male Female Sexes Male Female
All Provinces 32,264 18,009 14,255 2,993 1,287 1,706 20,049 11,883 8,166
NCR 4,069 2,004 2,065 768 383 385 2,863 1,405 1,458
Abra 405 254 151 - - - 274 184 90
Benguet 2,511 1,331 1,180 79 37 42 - - -
Mountain Province 3,013 1,770 1,243 18 8 10 2,632 1,585 1,047
Ilocos Norte 512 294 218 76 34 42 197 145 52
Ilocos Sur 1,561 860 701 318 157 161 1,080 610 470
La Union 2,278 1,188 1,090 94 37 57 2,031 1,068 963
Pangasinan 3,891 2,010 1,881 148 70 78 3,558 1,832 1,726
Batanes 1 1 1 - 1 3 3
Cagayan 1,850 1,022 828 98 43 55 219 158 61
Ifugao 763 468 295 5 1 4 664 417 247
Isabela 1,654 937 717 58 25 33 327 241 86
Kalinga Apayao 1,152 722 430 94 45 49 812 535 277
Nueva Vizcaya 892 531 361 28 15 13 365 258 107
Quirino 242 158 84 5 2 3 49 49 -
Bataan 198 164 34 22 11 11 125 125 -
Bulacan 243 183 60 57 26 31 159 143 16
Nueva Ecija 559 327 232 17 5 12 408 244 164
Pampanga 461 293 168 13 9 4 432 277 155
Tarlac 561 306 255 46 19 27 473 261 212
Zambales 703 556 147 24 14 10 543 470 73
Aurora 54 42 12 11 6 5 41 35 6
Batangas 205 117 88 17 10 7 173 96 77
Cavite 140 95 45 35 17 18 87 67 20
Laguna 159 112 47 12 8 4 122 87 35
Marinduque 33 20 13 2 - 2 26 17 9
Occidental Mindoro 46 32 14 9 5 4 24 19 5
Oriental Mindoro 49 31 18 12 8 4 31 20 11
Palawan 42 28 14 3 2 1 32 22 10
Quezon 146 85 61 9 4 5 114 69 45
Rizal 179 80 99 39 16 23 125 56 69

Romblon 22 12 10 4 3 1 16 8 8
Albay 133 79 54 9 2 7 123 76 47
Camarines Norte 49 22 27 5 4 1 39 15 24
Camarines Sur 96 52 44 7 4 3 78 43 35
Catanduanes 7 4 3 1 1 - 3 3 -
Masbate 31 23 8 7 4 3 22 17 5
Sorsogon 23 13 10 4 2 2 17 11 6
Aklan 37 18 19 4 2 2 29 13 16
Antique 11 7 4 2 - 2 5 5 -
Capiz 21 13 8 8 3 5 9 9 -
Iloilo 97 53 44 16 8 8 80 44 36
Negros Occidental 76 34 42 6 1 5 59 28 31
Note: Benguet includes Baguio City

1 - 59
Table 1.11 Continued
Ifugao Kalinga-Apayao Mountain Province

Both Both Both
Sexes Male Female Sexes Male Female Sexes Male Female
2,634 1,376 1,258 3,769 1,966 1,803 2,819 1,497 1,322
79 35 44 284 145 139 75 36 39

6 2 4 91 46 45 34 22 12
353 192 161 418 222 196 1,661 880 781
134 70 64 229 107 122 - - -
12 5 7 223 106 117 4 4 -
9 6 3 104 60 44 50 27 23
31 16 15 37 22 15 85 45 40
81 47 34 64 35 29 40 26 14
1 1 - - - - - - -
105 58 47 1,415 758 657 13 5 8
- - - 21 10 11 73 40 33
833 441 392 302 153 149 134 77 57
22 11 11 - - - 224 131 93
411 210 201 42 22 20 46 26 20
172 99 73 13 8 5 3 - 3
18 11 7 24 13 11 9 4 5
13 5 8 13 8 5 1 1 -
62 34 28 65 39 26 7 5 2
8 2 6 5 3 2 3 2 1
2 1 1 32 19 13 8 6 2
5 3 2 7 3 4 124 66 58
- - - 2 1 1 - - -
5 5 - 4 3 1 6 3 3
5 5 - 13 6 7 - - -
4 3 1 16 10 6 5 4 1
- - - 2 1 1 3 2 1
2 - 2 8 5 3 3 3 -
2 1 1 4 2 2 - - -
2 1 1 3 2 1 2 1 1
14 8 6 6 2 4 3 2 1
4 2 2 8 3 5 3 3 -
1 1 - 1 - 1 - - -
- - - 1 1 - - - -
- - - 5 3 2 - - -
7 3 4 3 1 2 1 1 -
1 - 1 2 - 2 - - -
- - - 2 2 - - - -
1 - 1 - - - 1 - 1
- - - 4 3 1 - - -
1 - 1 3 2 1 - - -
3 1 2 1 - 1 - - -
1 1 - - - - - - -
2 1 1 8 4 4 1 - 1
1 - 60
NUMBER OF IN-MIGRANTS BY SEX AND AREA OF ORIGIN BY PROVINCE
1985-1990
Area CAR Abra Benguet Ifug
of Both Both Both
Origin Sexes Male Female Sexes Male Female Sexes Male Female
Bohol 28 7 21 10 2 8 14 5 9
Cebu 131 78 53 7 3 4 110 70 40
Negros Oriental 43 13 30 2 - 2 35 11 24
Siquijor 1 1 - 1 1 - - - -
Leyte 140 58 82 14 4 10 116 47 69
Southern Leyte 7 5 2 1 - 1 5 5 -
Eastern Samar 8 1 7 2 - 2 6 1 5
Northern Samar 6 3 3 1 - 1 2 2 -
Western Samar 64 20 44 1 - 1 57 16 41
Basilan 9 9 - - - - 7 7 -
Sulu 18 10 8 5 4 1 12 6 6
Tawi-Tawi 5 3 2 2 - 2 3 3 -
Zamboanga del Norte 10 9 1 2 2 - 7 7 -

Zamboanga del Sur 41 27 14 4 2 2 28 23 5
Agusan del Norte 42 13 29 4 1 3 37 12 25
Agusan del Sur 1 1 - - - - - - -
Bukidnon 18 7 11 2 1 1 12 2 10
Camiguin - - - - - - - - -
Misamis Occidental 8 7 1 1 - 1 7 7 -
Misamis Oriental 23 21 2 4 2 2 16 16 -
Surigao del Norte 14 3 11 7 2 5 6 1 5
Davao del Norte 48 21 27 9 5 4 32 11 21
Davao del Sur 33 23 10 6 2 4 23 18 5

Davao Oriental 2 1 1 - - - 1 1 -
South Cotabato 14 7 7 1 - 1 11 6 5
Surigao del Sur 2 2 - - - - 2 2 -
Lanao del Norte 23 21 2 2 1 1 19 19 -
Lanao del Sur 27 20 7 3 2 1 18 13 5

Maguindanao 42 27 15 6 3 3 32 22 10
North Cotabato 35 8 27 15 5 10 19 2 17
Sultan Kudarat 24 6 18 4 1 3 20 5 15
Guimaras 1 - 1 - - - 1
Biliran 7 4 3 6 3 3 1 1 -
Agusan - - - - - - - - -
Bicol 44 19 25 28 13 15 - - -
Davao 2 2 - - - - - - -
Ilocos 7 4 3 - - - - - -
Leyte 7 3 4 4 1 3 - - -
Negros 3 2 1 - - - - - -
Samar 5 2 3 4 2 2 - - -
Zamboanga 1 1 - 1 1 - - - -
Visayas 14 7 7 7 3 4 - - -
Mindanao 20 12 8 7 4 3 - - -
Foreign Countries 1,445 745 700 551 126 425 551 517 34
Unknown 810 503 307 78 40 38 518 336 182
1 - 61

Both Both Both
Sexes Male Female Sexes Male Female Sexes Male Female
3 - 3 1 - 1 - - -
5 1 4 7 3 4 2 1 1
- - - 4 1 3 2 1 1
- - - - - - - - -
3 2 1 6 4 2 1 1 -
- - - 1 - 1 - - -
- - - - - - - - -
2 1 1 1 - 1 - - -
1 1 - 5 3 2 - - -
- - - - - - 2 2 -
1 - 1 - - - - - -
- - - - - - - - -
- - - 1 - 1 - - -
1 - 1 5 2 3 3 - 3
- - - 1 - 1 - - -
1 1 - - - - - - -
4 4 - - - - - - -
- - - - - - - - -
- - - - - - - - -
1 1 - 2 2 - - - -
- - - 1 - 1 - - -
- - - 1 1 - 6 4 2
- - - 1 1 - 3 2 1
- - - 1 - 1 - - -
- - - 2 1 1 - - -
- - - - - - - - -
- - - 2 1 1 - - -
- - - 6 5 1 - - -
1 - 1 3 2 1 - - -
- - - 1 1 - - - -
- - - - - - - - -
- - - - - -
- - - - - - - - -
- - - - - - - - -
4 - 4 11 5 6 1 1 -
- - - - - - 2 2 -
7 4 3 - - - - - -
- - - - - - 3 2 1
2 1 1 - - - 1 1 -
- - - 1 - 1 - - -
- - - - - - - - -
- - - 7 4 3 - - -
4 4 8 3 5 1 1 -
99 28 71 112 42 70 132 32 100
83 47 36 93 55 38 38 25 13
1 - 62
Table 1.12
NUMBER OF OUT-MIGRANTS BY SEX AND AREA OF DESTINATION BY PROVINCE
1985-1990
Area CAR Abra Benguet Ifu

of Both Male Female Both Male Female Both Male
Female
Destination Sexes Sexes Sexes
All Province 35,858 17,763 18,095 5,752 2,652 3,100 14,210 7,071 7,139
NCR 5,989 2,564 3,425 1,959 808 1,151 2,792 1,296 1,496
Abra 196 91 105 - - - 79 37 42
Benguet 5,436 2,721 2,715 375 184 191 - - -
Mt. Province 1,925 1,033 892 34 22 12 1,661 880 781
Ilocos Norte 1,061 487 574 270 133 137 185 92 93
Ilocos Sur 1,487 706 781 667 280 387 564 309 255
La Union 2,489 1,227 1,262 317 154 163 1,858 931 927
Pangasinan 2,766 1,360 1,406 267 137 130 2,181 1,074 1,107
Batanes 6 4 2 - - - 2 1 1
Cagayan 1,485 728 757 67 35 32 83 46 37
Ifugao 515 275 240 6 2 4 353 192 161

Isabela 2,778 1,423 1,355 150 80 70 268 139 129
Kalinga-Apayao 759 385 374 91 46 45 418 222 196
Nueva Viscaya 2,131 1,068 1,063 60 33 27 631 320 311
Quirino 1,038 557 481 94 44 50 139 68 71
Bataan 135 63 72 37 22 15 57 23 34
Bulacan 407 190 217 115 50 65 178 93 85
Nueva Ecija 501 241 260 127 61 66 259 128 131
Pampanga 478 213 265 122 56 66 250 109 141
Tarlac 476 233 243 97 50 47 294 142 152
Zambales 262 107 155 34 13 21 166 66 100

Aurora 162 94 68 19 10 9 53 35 18
Batangas 206 105 101 33 18 15 110 52 58
Cavite 257 120 137 85 37 48 141 65 76
Laguna 336 155 181 76 31 45 185 90 95
Marinduque 3 - 3 1 - 1 - - -
Occidental Mindoro 37 14 23 3 2 1 9 3 6
Oriental Mindoro 77 38 39 39 23 16 34 13 21
Palawan 78 43 35 16 9 7 36 17 19
Quezon 158 86 72 32 21 11 99 53 46
Rizal 469 230 239 140 69 71 209 103 106

Romblon 28 15 13 5 3 2 18 10 8
Albay 61 32 29 15 9 6 37 22 15
Camarines Norte 196 115 81 8 6 2 141 81 60
Camarines Sur 93 42 51 18 10 8 58 23 35
Catanduanes 24 12 12 8 5 3 14 7 7
Masbate 145 75 70 2 1 1 76 38 38
1 - 63

Both Male Female Both Male Female Both Male Female
Sexes Sexes Sexes
4,161 2,084 2,077 6,627 3,160 3,467 5,626 2,796 2,830
142 52 90 760 283 477 336 125 211

5 1 4 94 45 49 18 8 10
851 417 434 1,107 535 572 3,103 1,585 1,518
6 - 6 224 131 93 - - -
9 5 4 572 245 327 25 12 13
51 26 25 114 52 62 91 39 52
73 40 33 118 49 69 123 53 70
29 15 14 144 67 77 145 67 78
- - - 3 2 1 1 1 -
49 22 27 1,270 616 654 16 9 7
- - - 22 11 11 134 70 64
820 416 404 1,199 617 582 341 171 170
21 10 11 - - - 229 107 122
1,181 575 606 186 103 83 73 37 36
657 355 302 121 73 48 27 17 10
4 2 2 28 11 17 9 5 4
11 4 7 34 15 19 69 28 41
28 15 13 38 19 19 49 18 31
5 3 2 29 11 18 72 34 38
6 2 4 54 20 34 25 19 6
6 6 - 15 7 8 41 15 26
18 11 7 48 23 25 24 15 9
6 5 1 20 10 10 37 20 17
3 - 3 17 12 5 11 6 5
9 6 3 40 17 23 26 11 15
- - - 1 - 1 1 - 1
2 2 - 11 3 8 12 4 8
1 - 1 2 2 1 - 1
- - - 20 13 7 6 4 2
5 2 3 14 6 8 8 4 4
7 2 5 53 30 23 60 26 34
5 2 3 - - - - - -
- - - 6 1 5 3 - 3
- - - 8 5 3 39 23 16
- - - 14 7 7 3 2 1
1 - 1 1 - 1 - - -
4 2 2 30 13 17 33 21 12
1 - 64
NUMBER OF OUT-MIGRANTS BY SEX AND AREA OF DESTINATION BY PROVINCE
1985-1990
Area CAR Abra Benguet Ifu

of Both Male Female Both Male Female Both Male Female
Destination Sexes Sexes Sexes
Sorsogon 45 21 24 5 4 1 29 9 20
Aklan 28 13 15 5 2 3 13 5 8
Antique 41 22 19 15 9 6 21 12 9
Capiz 41 23 18 18 13 5 13 6 7
Iloilo 124 66 58 36 19 17 70 39 31
Negros Occidental 58 31 27 24 16 8 27 13 14
Bohol 47 21 26 18 7 11 23 13 10
Cebu 140 65 75 31 14 17 33 11 22
Negros Oriental 38 18 20 9 4 5 23 11 12
Siquijor 19 15 4 2 - 2 17 15 2
Leyte 48 17 31 6 3 3 20 5 15
Southern Leyte 25 13 12 6 3 3 9 3 6
Eastern Samar 9 3 6 - - - 7 2 5
Northern Samar 13 11 2 4 2 2 6 6 -
Western Samar 22 9 13 5 2 3 8 1 7
Basilan 9 5 4 3 1 2 1 1 -
Sulu 4 1 3 3 - 3 1 1 -
Tawi-Tawi 8 7 1 3 2 1 5 5 -
Zamboanga del Norte 32 22 10 11 7 4 19 15 4
Zamboanga del Sur 102 55 47 4 3 1 27 11 16
Agusan del Norte 45 25 20 9 5 4 18 9 9

Agusan del Sur 130 84 46 8 5 3 17 14 3
Bukidnon 95 56 39 12 5 7 12 - 12
Camiguin 5 3 2 3 1 2 1 1 -
Misamis Occidental 20 11 9 2 - 2 3 3 -
Misamis Oriental 40 23 17 6 3 3 2 1 1
Surigao del Norte 60 35 25 16 9 7 14 12 2
Davao del Norte 108 69 39 23 11 12 30 25 5
Davao del Sur 58 17 41 18 9 9 25 - 25
Davao Oriental 17 15 2 3 1 2 14 14
South Cotabato 68 30 38 15 8 7 12 2 10
Surigao del Sur 72 38 34 2 2 - 8 8 -
Lanao del Norte 32 14 18 12 6 6 10 4 6
Lanao del Sur 14 4 10 3 - 3 11 4 7
Maguindanao 27 9 18 11 3 8 8 3 5
North Cotabato 28 14 14 7 6 1 6 2 4
Sultan Kudarat 48 21 27 3 1 2 7 3 4
Guimaras 4 4 - 1 1 - 2 -
Biliran 2 1 1 1 1 - - -
Foreign Countries - - - - - - - - -
Unknown - - - - - - - - -
1 - 65

Both Male Female Both Male Female Both Male Female
Sexes Sexes Sexes
- - - 4 2 2 7 6 1
- - - 2 1 1 8 5 3
- - - 5 1 4 - - -
- - - 4 1 3 6 3 3
- - - 7 3 4 11 5 6
2 - 2 4 2 2 1 - 1
- - - 1 - 1 5 1 4
5 3 2 13 5 8 58 32 26
1 1 - - - 5 2 3
- - - - - - - - -
1 1 14 6 8 7 3 4
1 1 - 2 2 - 7 4 3
- - - - - - 2 1 1
- - - 1 1 - 2 2 -
1 1 - 2 2 - 6 3 3
- - - - - - 5 3 2
- - - - - - - - -
- - - - - - - - -
- - - 2 - 2 - - -
4 3 1 30 20 10 37 18 19
2 2 - 5 3 2 11 6 5
8 8 - 5 4 1 92 53 39
44 36 8 20 11 9 7 4 3
- - - 1 1 - - - -
- - - 5 4 1 10 4 6
- - - 1 - 1 31 19 12
6 2 4 22 10 12 2 2 -
13 6 7 7 4 3 35 23 12
5 2 3 7 5 2 3 1 2
- - - - - - - - -
8 4 4 16 5 11 17 11 6
39 15 24 - - - 23 13 10
4 1 3 5 2 3 1 1 -
- - - - - - - - -
- - - - - - 8 3 5
2 1 1 1 - 1 12 5 7
- - - 24 11 13 14 6 8
- - - - - - 1 1 -
- - - - - - 1 - 1
- - - - - - - - -
- - - - - - - - -
1 - 66
Table 1.13A
PROJECTED POPULATION OF CAR BY SEX
Medium Assumption
2010-2020
Sex 2010 2011 2012 2013 2014 2015
Philippines 93,135,100 94,823,800 96,510,900 98,196,500 99,880,300 101,562,300
Men 46,980,200 47,832,400 48,684,200 49,535,100 50,385,100 51,234,200

Women 46,154,900 46,991,400 47,826,700 48,661,400 49,495,200 50,328,100
Growth Rate 1.81 1.78 1.75 1.71 1.68
CAR 1,629,300 1,659,700 1,690,100 1,721,000 1,752,100 1,783,500
Men 830,100 845,400 860,500 875,900 891,400 906,900

Women 799,200 814,300 829,600 845,100 860,700 892,500
Growth Rate 1.87 1.83 1.83 1.81 1.79
Source: Philippine Statistics Authority, 2010 Census-based Population Projections in collaboration

with the Inter-Agency WorkingGroup
Table 1.13B
POPULATION PROJECTIONS OF CAR BY FIVE-YEAR INTERVAL BY PROVINCE
Medium Assumption
2010-2035
Province 2010 2015 2020 2025 2030 2035
CAR 1,629,300 1,783,500 1,945,300 2,104,100 2,249,400 2,381,000
Abra 237,200 250,500 264,700 279,400 292,900 304,600
Apayao 113,900 126,100 138,800 151,500 163,200 173,600
Benguet 1/ 724,900 795,400 868,100 936,500 99,800 1,052,700
Ifugao 193,300 214,500 237,100 260,100 281,900 302,600
Kalinga 204,100 224,900 247,000 268,900 288,700 306,700
Mt. Province 155,900 172,100 189,600 207,700 224,700 240,800
1/ Includes Baguio City.

Source: Philippine Statistics Authority, 2010 Census-based Population Projections in collaboration
with the Inter-Agency WorkingGroup
1 - 67
2016 2017 2018 2019 2020
103,242,900 104,921,400 106,598,600 108,274,300 109,947,900
52,081,400 52,927,400 53,772,800 54,617,400 55,460,900

51,161,500 51,994,000 82,825,800 53,656,900 54,487,000
1.65 1.63 1.60 1.57 1.55
1,815,300 1,847,400 1,879,700 1,912,400 1,945,300
922,800 938,800 954,900 971,200 987,500

982,500 908,600 924,800 941,200 957,800
1.78 1.77 1.75 1.74 1.72
Fig. 1.3 Population Growth Rate by Province/Region, CAR, 2010-2015
2.0 1.91
1.8
1.54
1.6
Population Growth Rate
1.4 1.21
1.14
1.2 1.08
1.02
1.0
0.8
180,000 0.52 192,700 204,400

0.6
1,010,900
0.4 1,067,300 1,117,300
0.2 0.05
0.0
Province/Region
1 - 68
Table 1.14
NUMBER OF HOUSEHOLDS AND AVERAGE HOUSEHOLD SIZE
BY PROVINCE/CITY/MUNICIPALITY
2000 2010 2015

Province/Municipality No. of Average No. of Average No. of Average
Households HH Size Households HH Size Households HH Size
Philippines 15,278,808 5.0 20,171,899 4.6 22,975,630 4.4
CAR 263,851 5.2 352,403 4.6 395,881 4.3
Abra 40,709 5.1 49,144 4.8 53,062 4.5
Bangued 7,971 4.9 9,779 4.5 11,024 4.3

Boliney 639 5.2 822 4.9 760 4.7
Bucay 2,943 5.1 3,617 4.7 3,863 4.4
Bucloc 357 5.9 414 5.2 442 5.7
Daguioman 324 5.4 327 5.2 375 5.6
Danglas 749 5.5 950 5.0 910 4.6

Dolores 2,106 4.7 2,418 4.7 2,548 4.4
La Paz 2,534 5.1 3,173 4.7 3,442 4.5
Lacub 509 5.5 561 5.3 647 5.2
Lagangilang 2,354 5.1 2,817 4.9 3,147 4.5
Lagayan 796 4.8 904 5.0 932 4.8

Langiden 589 5.1 685 4.6 705 4.5
Licuan-Baay 723 5.3 832 5.5 968 4.8
Luba 1,138 5.5 1,282 5.0 1,370 4.6
Malibcong 707 5.4 723 5.2 746 4.5
Manabo 1,871 5.1 2,264 4.7 2,475 4.3

Peñarrubia 1,063 5.2 1,388 4.7 1,478 4.5
Pidigan 1,875 5.4 2,433 4.7 2,728 4.4
Pilar 1,775 5.3 2,107 4.7 2,289 4.5
Sal-lapadan 1,075 5.1 1,245 4.8 1,341 4.9
San Isidro 820 5.2 1,038 4.7 1,082 4.2

San Juan 1,787 4.9 2,274 4.6 2,217 4.4
San Quintin 946 5.4 1,152 4.5 1,249 4.3
Tayum 2,439 5.1 2,951 4.7 3,140 4.6
Tineg 787 6.3 903 5.2 980 5.2
Tubo 902 5.6 957 6 984 5.8

Villaviciosa 930 5.2 1,128 5 1,220 4.4
Apayao 18,165 5.3 23,337 4.8 25,560 4.6
Calanasan (Bayag) 2,034 6.3 2,208 5.2 2,384 5.3

Conner 3,808 5.4 4,792 5.2 5,469 4.8
Flora 2,985 5.0 3,727 4.5 4,056 4.3
Kabugao 2,501 5.6 3,116 5.2 3,142 4.9
Luna 2,776 5.1 3,849 4.7 4,174 4.5
Pudtol 2,066 5.3 2,900 4.6 3,207 4.6

Santa Marcela 1,995 4.9 2,745 4.4 3,128 4.3
1 - 69
2000 2010 2015

Baguio City 52,302 4.8 78,313 4.0 89,987 3.8
Benguet 63,123 5.2 90,440 4.5 106,838 4.2
Atok 3,397 4.9 4,158 4.6 4,378 4.5

Bakun 2,346 5.2 2,828 4.8 3,350 4.5
Bokod 2,242 5.2 2,646 4.8 2,877 4.8
Buguias 6,312 5.3 8,785 4.5 10,874 4.0
Itogon 8,588 5.4 11,865 4.7 14,226 4.2
Kabayan 2,063 6.0 2,697 5.0 3,489 4.4

Kapangan 3,371 5.4 4,126 4.9 4,198 4.6
Kibungan 2,949 5.1 3,769 4.5 3,587 4.8
La Trinidad 13,658 5.0 26,717 4.0 34,157 3.8
Mankayan 6,495 5.3 7,479 4.8 8,088 4.4
Sablan 1,873 5.2 2,315 4.5 2,603 4.4

Tuba 7,210 5.3 9,646 4.4 11,152 4.3
Tublay 2,619 5.2 3,409 4.9 3,859 4.6
Ifugao 31,346 5.2 39,479 4.8 43,281 4.7
Aguinaldo 1/ 3,341 4.9 4,100 4.5 4,661 4.2

Alfonso Lista 4,275 5.0 6,190 4.6 7,149 4.5
Asipulo 2/ 2,129 5.8 2,677 5.4 2,833 5.4
Banaue 3,952 5.2 4,385 5.1 3,929 5.5
Hingyon 3/ 2,063 4.7 2,073 4.7 2,045 4.5
Hungduan 1,699 5.5 1,967 5.0 1,941 4.8

Kiangan 2,692 5.2 3,119 5.1 3,485 4.9
Lagawe 2,944 5.2 3,703 4.9 3,952 4.9
Lamut 3,654 5.1 4,937 4.7 5,600 4.5
Mayoyao 2,917 4.9 3,514 4.4 4,079 4.2
Tinoc 1,680 5.8 2,814 5.0 3,607 4.6
Kalinga 30,450 5.7 38,642 5.2 42,115 5.0
Balbalan 1,923 6.2 2,137 5.6 2,302 5.3

Lubuagan 1,764 5.6 1,823 5.1 1,731 5.0
Pasil 1,576 5.9 1,683 5.7 1,800 5.4
Pinukpuk 4,586 5.7 5,512 5.4 6,279 5.1
Rizal 2,594 5.3 3,433 4.6 3,723 4.6
Tabuk 13,985 5.6 20,335 5.1 22,439 4.9

Tanudan 1,472 7.0 1,414 6.0 1,568 6.1
Tinglayan 2,550 5.6 2,305 5.4 2,273 5.7
1/ Created municipality September 20, 1980 under B.P. Blg. 86; taken from Mayoyao.
2/ Created municipality July 22, 1991 under R.A. 7173; taken from Kiangan.
3/ Created municipality September 10, 1982 under B.P. Blg. 239; taken from Lagawe and Banaue.
1 - 70
NO. OF HOUSEHOLDS AND AVERAGE HOUSEHOLD SIZE
BY PROVINCE/CITY/MUNICIPALITY
2000 2010 2015

Mt. Province 27,756 5.1 33,048 4.7 35,038 4.4
Barlig 1,425 4.5 1,553 3.8 1,190 4.0

Bauko 5,266 5.3 6,253 4.8 6,800 4.6
Besao 1,770 5.7 1,830 4.3 1,712 4.1
Bontoc 5,035 4.4 5,810 4.1 6,462 3.8
Natonin 1,768 5.1 1,969 5.1 2,189 4.7
Paracelis 3,401 5.6 5,171 5.1 5,834 4.8

Sabangan 1,738 5.0 1,953 4.5 2,215 4.2
Sadanga 1,628 5.3 1,783 5.1 1,765 5.0
Sagada 2,158 4.9 2,677 4.2 2,644 4.2
Tadian 3,567 5.1 4,049 5.1 4,227 4.6
Figure 1.4 Number of Households in CAR, 1995-2015
400,000
350,000
300,000
250,000
Number
200,000
150,000
100,000
50,000
-
1995 2000 2010 2015
Year
1 - 71
Table 1.15
NUMBER OF OCCUPIED HOUSING UNITS BY PROVINCE/CITY/MUNICIPALITY
Census Years 1980, 1990, 2000, 2010 and 2015
Province/City 1980 1990 2000 2010 2015

Municipality Occupied Occupied Occupied Occupied Occupied
Philippines 8,500,826 11,018,208 14,891,127 19,715,695 22,421,193
CAR 172,527 212,803 259,890 347,362 390,923
Abra 29,312 32,888 39,200 47,642 51,593

Bangued 5,188 5,816 7,392 9,201 10,787
Boliney 613 692 639 797 758
Bucay 2,028 2,342 2,847 3,534 3,813
Bucloc 291 339 351 403 435
Daguioman 213 267 312 326 375
Danglas 559 567 726 924 873

Dolores 1,782 1,522 1,856 2,363 2,484
La Paz 1,351 2,147 2,496 3,060 3,325
Licuan-Baay 356 408 700 561 647
Lagangilang 1,770 1,959 2,302 2,780 3,048
Lagayan 731 691 759 891 932

Langiden 440 479 564 653 660
Lacub-Baay 529 637 509 804 943
Luba 902 1,016 1,113 1,275 1,358
Malibcong 526 590 684 707 743
Manabo 1,269 1,459 1,820 2,206 2,410

Peñarrubia 761 856 1,032 1,342 1,463
Pidigan 1,307 1,544 1,869 2,367 2,600
Pilar 1,386 1,559 1,742 2,065 2,262
Sal-lapadan 786 880 1,031 1,234 1,341
San Isidro 564 668 806 1,015 1,054

San Juan 1,358 1,477 1,783 2,143 2,157
San Quintin 670 828 936 1,151 1,239
Tayum 1,796 1,904 2,332 2,890 3,016
Tineg 478 560 773 903 830
Tubo 909 829 899 955 982

Villaviciosa 749 852 927 1,092 1,058
Apayao 12,650 13,499 17,949 22,936 25,418

Calanasan 1,153 1,818 2,029 2,161 2,382
Conner 2,587 3,070 3,786 4,756 5,466
Flora 2,277 2,011 2,922 3,686 4,042
Kabugao 1,612 1,857 2,484 3,107 3,130
Luna 2,276 1,902 2,746 3,736 4,129
Pudtol 1,344 1,445 2,043 2,813 3,158

Santa Marcela 1,401 1,396 1,939 2,677 3,111
Baguio City 21,523 33,517 51,158 76,922 87,731
Benguet 76,991 57,387 62,683 89,265 106,117

Atok 2,756 2,664 3,368 4,149 4,332
Bakun 1,699 1,981 2,329 2,803 3,347
Note: No data on the number of vacant and total number of housing units available in the year 2000 and 2010.
1980 & 1990 -based on 1990 CPH; Housing Stat, however the values for the occupied units in the years differ
from that of 2010 CPH. (Philippines)
1 - 72
NUMBER OF OCCUPIED HOUSING UNITS BY PROVINCE/CITY/MUNICIPALITY
Census Years 1980, 1990, 2000, 2010 and 2015
Province/City 1980 1990 2000 2010 2015

Municipality Occupied Occupied Occupied Occupied Occupied
Benguet (Continued)
Bokod 2,100 2,085 2,235 2,644 2,873
Buguias 3,077 4,527 6,289 8,663 10,863
Itogon 41,946 11,774 8,553 11,711 14,204
Kabayan 1,638 1,879 2,049 2,691 3,483

Kapangan 2,604 2,986 3,334 4,095 4,194
Kibungan 1,986 2,420 2,929 3,742 3,584
La Trinidad 5,432 9,411 13,528 25,974 33,599
Mankayan 4,911 6,380 6,446 7,459 8,062
Sablan 1,378 1,606 1,855 2,312 2,599

Tuba 5,699 7,574 7,169 9,622 11,123
Tublay 1,765 2,100 2,599 3,400 3,854
Ifugao 22,971 27,603 31,134 39,313 43,217

Aguinaldo ... 3,469 3,335 4,092 4,658
Alfonso Lista 2,022 2,844 4,261 6,162 7,138
Asipulo ... ... 2,116 2,663 2,829
Banawe 5,185 3,440 2,116 4,370 3,925
Hingyon ... 1,894 3,896 2,061 2,044
Hungduan 1,950 1,491 2,053 1,967 1,939

Kiangan 3,598 4,145 2,672 3,109 3,479
Lagawe 3,398 2,397 2,914 3,698 3,944
Lamut 2,055 2,675 3,617 4,870 5,593
Mayoyao 4,763 3,808 2,902 3,511 4,071
Tinoc - 1,440 1,679 2,810 3,597
Kalinga 20,712 24,325 30,106 38,310 41,990

Balbalan 1,469 1,629 1,921 2,130 2,301
Lubuagan 1,559 1,704 1,758 1,813 1,728
Pasil 1,281 1,339 1,571 1,668 1,797
Pinukpuk 3,063 3,596 4,564 5,491 6,258
Rizal (Liwan) 2,277 1,947 2,565 3,419 3,718

Tabuk 7,560 10,138 13,849 20,070 22,350
Tanudan 1,129 1,468 1,472 1,414 1,568
Tinglayan 2,374 2,504 2,406 2,305 2,270
Mt. Province 21,113 23,584 27,660 32,974 34,857

Barlig 1,137 1,270 1,423 1,553 1,190
Bauko 3,274 4,085 5,252 6,248 6,790
Besao 1,854 1,716 1,769 1,827 1,710
Bontoc 3,912 4,182 4,983 5,791 6,307
Natonin 1,335 1,666 1,768 1,966 2,187
Paracelis 1,799 2,418 3,395 5,140 5,826

Sabangan 1,508 1,566 1,735 1,950 2,215
Sadanga 1,514 1,513 1,623 1,781 1,764
Sagada 2,174 2,304 2,149 2,676 2,641
Tadian 2,606 2,864 3,563 4,042 4,227
1 - 73
Table 1.16A
OCCUPIED HOUSING UNITS, NUMBER OF HOUSEHOLDS AND HOUSEHOLD POPULATION
BY TYPE OF BUILDING AND PROVINCE
Census Year 2000
Occupied No. of HHs Household HHs per HH Pop'n

Area/Type of Building Housing in Housing Population Occupied per Occupied
Units Units Housing Units Housing Unit
Philippines 11,018,208 11,407,262 60,559,116 1.0 5.5
CAR 212,803 219,349 1,141,141 1.0 5.4
Single 185,709 189,858 1,001,964 1.0 5.4

Duplex 6,877 7,326 36,834 1.1 5.4
Multi-Unit Residential 19,435 21,307 98,308 1.1 5.1
Commercial/Industrial/Agricultural 591 651 3,082 1.1 5.2
Institutional Living Quarters 84 97 434 1.2 5.2
Other Housing Unit 99 102 474 1.0 4.8
Not Reported 8 8 45 1.0 5.6
Abra 32,888 34,335 184,439 1.0 5.6
Single 32,490 33,900 182,137 1.0 5.6

Duplex 302 333 1,762 1.1 5.8
Multi-Unit Residential 49 55 291 1.1 5.9
Commercial/Industrial/Agricultural 14 14 76 1.0 5.4
Institutional Living Quarters - - - - -
Benguet 90,904 95,082 482,110 1.0 5.3
Single 65,361 67,280 352,120 1.0 5.4

Duplex 5,798 6,172 30,487 1.1 5.3
Ifugao 27,603 27,809 147,030 1.0 5.3
Single 27,276 27,446 145,071 1.0 5.3

Duplex 168 174 985 1.0 5.9
1 - 74
Census Year 2000

Kalinga-Apayao 37,824 38,377 211,391 1.0 5.6
Single 37,337 37,859 208,404 1.0 5.6

Duplex 420 447 2,560 1.1 6.1
Mountain Province 23,584 23,746 116,171 1.0 4.9
Single 23,245 23,373 114,232 1.0 4.9

Duplex 189 200 1,040 1.1 5.5
Not Reported - - - - -
1 - 75
Table 1.16B
Census Year 2010

Unit Units Housing Units Housing Unit
Philippines 19,715,695 20,171,899 92,097,978 1.0 4.7
CAR 347,362 352,403 1,611,669 1.0 4.6
Single 291,324 294,970 1,396,937 1.0 4.8

Duplex 14,807 15,197 61,685 1.0 4.2
Commercial/Industrial/Agricultural 1,003 1,017 3,679 1.0 3.7
Not Reported 49 49 202 1.0 4.1
Abra 47,642 49,144 234,000 1.0 4.9
Single 46,796 48,267 230,118 1.0 4.9

Duplex 620 647 2,894 1.0 4.7
Apayao 22,936 22,337 112,523 1.0 4.9
Single 22,831 23,231 112,067 1.0 4.9

Duplex 69 70 312 1.0 4.5
Benguet 89,265 90,440 403,129 1.0 4.5
Single 72,646 73,357 339,171 1.0 4.7

Duplex 3,723 3,859 15,386 1.0 4.1
Not Reported 17 17 48 1.0 2.8
Ifugao 39,313 39,479 190,948 1.0 4.9
Single 38,546 38,711 187,728 1.0 4.9

Duplex 488 489 2,165 1.0 4.4
1 - 76
Census Year 2010

Kalinga 38,310 38,642 201,206 1.0 5.3
Single 37,671 37,996 198,444 1.0 5.3

Duplex 354 361 1,570 1.0 4.4
Other Housing Unit - - - - -
Single 31,957 32,014 150,022 1.0 4.7

Duplex 570 576 2,280 1.0 4.0
Multi-Unit Residential 402 413 1,599 1.0 4.0
Fig. 1.5 Occupied Housing Units & No. of Households by Province, 2010
100,000
Occupied Housing No. of HHs
90,000 Unit in Housing
Units
80,000
70,000
60,000
Number
50,000
40,000
30,000
20,000
10,000
-
Apayao
Abra
Benguet
Ifugao
Kalinga
Mountain
Province
Province
1 - 77
Table 1.16C
Census Year 2015

Unit Units Housing Units Housing Unit
Philippines 22,421,193 22,969,666 100,543,973 1.02 4.51
CAR 390,923 395,748 298,914 1.01 4.38
Single 296,491 298,914 30,749 1.01 4.61

Duplex 30,170 30,749 64,401 1.02 4.10
Commercial/Industrial/Agricultural 1,424 1,486 49 1.04 3.44
Not Reported 142 146 545 1.03 3.84
Abra 51,593 52,929 239,638 1.03 4.65
Single 47,747 49,010 223,807 1.03 4.69

Duplex 2,768 2,823 11,912 1.02 4.30
Multi-Unit Residential 995 1,011 3,569 1.02 3.59
Not Reported 35 37 152 1.06 4.34
Apayao 25,418 25,560 118,653 1.01 4.67
Single 24,315 24,454 114,160 1.01 4.70

Duplex 856 857 3,528 1.00 4.12
Not Reported 13 14 65 1.08 5.00
Benguet 106,117 106,838 444,634 1.01 4.19
Single 75,334 75,536 335,054 1.00 4.45

Duplex 8,368 8,457 34,473 1.01 4.12
Institutional Living Quarters - - - - -
Not Reported 42 42 114 1.00 2.71
Ifugao 43,217 43,281 202,519 1.00 4.69
Single 40,942 41,002 192,665 1.00 4.71

Duplex 1,646 1,647 7,255 1.00 4.41
Not Reported 3 3 7 1.00 2.33
1 - 78
Census Year 2015

Kalinga 41,990 42,115 212,003 1.00 5.05
Single 39,679 39,791 202,579 1.00 5.11

Duplex 1,387 1,393 6,055 1.00 4.37
Not Reported 29 30 133 1.03 4.59
Single 32,785 32,827 146,509 1.00 4.47

Duplex 1,025 1,056 3,942 1.03 3.85
Multi-Unit Residential 971 1,078 3,274 1.11 3.37
Not Reported 2 2 11 1.00 5.50
Fig. 1.5 Occupied Housing Units & No. of Households by Province, 2015
120,000
Occupied Housing No. of HHs
Unit in Housing
100,000 Units
80,000
Number
60,000
40,000
20,000
-
Apayao
Abra
Benguet
Ifugao
Kalinga
Mountain
Province
Province
1 - 79
Table 1.17A
NO. OF HOUSEHOLDS IN OCCUPIED HOUSING UNITS BY TYPE OF
OCCUPANCY, BUILDING TYPE AND PROVINCE/CITY
Census Year 2000
Multi-Unit
Area Total No. of Residential
Single House Duplex
Type of Occupancy Households (3 Units
or more)
PHILIPPINES 11,407,262 10,271,768 363,116 717,910
CAR 263,851 227,255 10,753 21,204
Owned/Being Amortized 193,115 179,763 7,316 5,580
Rented 22,574 12,165 1,423 8,501
Being Occupied for Free 1/ 31,731 25,060 1,364 5,082
Being Occupied for Free 2/ 2,145 1,981 42 92
Not Reported 14,286 8,286 608 1,949
Abra 40,709 39,353 907 162
Owned/Being Amortized 33,446 32,512 792 91
Rented 709 666 14 23
Being Occupied for Free 2/ 141 139 2 -
Not Reported 1,670 1,405 40 6
Benguet 3/ 63,123 51,584 4,463 6,431
Owned/Being Amortized 46,248 42,118 3,115 888
Rented 4,909 2,563 431 1,826
Being Occupied for Free 1/ 8,924 5,221 628 3,029
Being Occupied for Free 2/ 213 197 9 4
Not Reported 2,829 1,485 280 684
Baguio City 52,302 34,203 3,155 14,174
Rented 13,749 6,180 816 6,504
Not Reported 3,424 1,744 195 1,229
Ifugao 31,346 30,364 652 61
Rented 664 599 44 18
Being Occupied for Free 2/ 55 54 - -
Not Reported 1,162 935 23 6
Kalinga-Apayao 48,615 46,392 1,177 205
Rented 1,485 1,251 52 55
Not Reported 2,665 1,996 53 11
Mountain Province 27,756 25,359 399 171
Rented 1,058 906 66 75
Not Reported 2,536 721 17 13
1/ - With consent of owner.
2/ - Without consent of owner.
3/ - Excluding Baguio City.
Note: Figures are estimates based on 20% sample
1 - 80
Census Year 2000
Commercial/ Institutional Other H.U.
Area Industrial/ (Hospital, Natural Not
Type of Occupancy Agricultural Convent, etc.) Shelter/ Reported
Houses Boat
PHILIPPINES 39,148 2,750 9,599 2,971
CAR 843 128 84 3,584
Owned/Being Amortized 215 41 50 150
Rented 413 21 3 48
Being Occupied for Free 2/ 19 1 - 10
Not Reported 85 9 9 3,340
Abra 17 4 4 262
Rented 2 - - 4
Being Occupied for Free 2/ - - - -
Not Reported 1 - - 218
Benguet 3/ 171 25 11 438
Rented 66 2 - 21
Being Occupied for Free 2/ - - - 3
Not Reported 13 1 2 364
Baguio City 421 72 20 257
Rented 213 12 3 21
Being Occupied for Free 2/ 18 - - 5
Ifugao 9 7 42 211
Rented 1 1 - 1
Being Occupied for Free 2/ - 1 - -
Kalinga-Apayao 203 15 3 620
Owned/Being Amortized 41 7 - 28
Rented 124 3 - -
Mountain Province 22 5 4 1,796
Rented 7 3 - 1
Being Occupied for Free 1/ - 1 - -
Not Reported 1 - - 1,784
1 - 81
Table 1.17B
Census Year 2010
Multi-Unit
Single House Duplex
or more)
CAR 394,538 326,288 16,616 50,035

Rented 40,777 13,556 4,434 22,260
Not Applicable 3,980 2,001 276 1,672
Not Reported 42,221 31,398 1,419 9,014
Abra 53,063 52,073 693 208

Rented 576 515 30 13
Not Applicable 225 212 6 3
Not Reported 3,972 3,859 46 61
Apayao 24,023 23,913 73 21

Rented 158 152 1 4
Benguet 3/ 102,912 82,580 4,100 15,716

Rented 11,293 3,598 1,096 6,456
Not Applicable 1,436 601 103 720
Not Reported 12,490 9,237 241 2,869
Baguio City 90,329 46,374 10,181 33,015

Rented 25,001 6,459 2,914 15,322
Being Occupied for Free 2/ 1,104 844 104 152
Not Applicable 1,696 600 151 942
Not Reported 12,020 4,982 986 5,833
Ifugao 43,093 42,261 510 291

Rented 912 651 120 139
Not Applicable 158 155 1 -
Not Reported 3,614 3,550 21 39
1 - 82
Census Year 2010
Houses Boat
CAR 1,368 153 6 72

Rented 456 63 - 8
Not Reported 352 15 - 23
Abra 76 6 2 5
Owned/Being Amortized 39 3 - -
Rented 17 1 - -
Not Applicable 2 - 2 -
Not Reported 6 - - -
Apayao 4 7 1 4
Owned/Being Amortized - 3 - -
Rented 1 - - -
Not Reported - - - -
Benguet 3/ 460 19 2 35
Rented 134 2 - 7
Baguio City 647 96 - 16

Rented 247 58 - 1
Not Applicable 3 - - -
Ifugao 26 4 1 -
Rented 2 - - -
Not Applicable - 1 1 -
1 - 83
Multi-Unit
Single House Duplex
or more)
Kalinga 40,970 40,265 378 187

Rented 1,232 1,036 69 81
Not Reported 2,329 2,270 17 27
Mountain Province 40,148 38,822 681 597

Rented 1,605 1,145 204 245
Not Reported 7,110 6,818 105 184
1/ - With consent of owner.
2/ - Without consent of owner.
3/ - Excluding Baguio City.
Note: Figures are estimates based on 20% sample
1 - 84
Houses Boat
Kalinga 121 7 - 12
Rented 45 1 - -
Being Occupied for Free 2/ 2 - - -
Not Applicable 1 - - 2
Mountain Province 34 14 - -
Rented 10 1 - -
Not Applicable 1 2 - -
1 - 85
Table 1.18A
NUMBER OF OCCUPIED DWELLING UNITS BY CONSTRUCTION MATERIALS
OF ROOFS AND OUTER WALLS MATERIALS BY PROVINCE/CITY
Census Year 2015
Total Construction Materials of Roof

Occupied Galva - Tile Half Gal- Cogon/ Make- Not
Area/ Housing nized Con - vanized Nipa/ shift/Sal Asbes- Others Re-
Outer Wall Materials Units Iron/ crete Iron, Ana - vaged tos por-
Alumi - Clay Con - haw Impro - ted
num Tile crete vised
CAR 390,923 352,666 18,620 9,088 9,936 285 32 53 10
Concrete/Brick/Stone 183,328 163,259 17,511 2,374 139 7 23 13 -

Wood 58,737 54,381 183 568 3,524 32 3 23 2
Half Concrete/Brick/ 61,483 55,026 767 5,484 196 7 3 - -
Galvanized Iron/Aluminum 63,005 62,212 154 433 195 6 1 1 -
Bamboo/Sawali/Cogon/Nipa 21,087 15,068 - 202 5,756 22 - 7 -
Asbestos 84 82 - - - - 2 - -
Glass 35 29 3 3 - - - - -
Improvised/Salvaged 749 453 - 6 75 208 - - -
Others 1,553 1,524 1 9 8 - - 7 -
No Walls 35 14 - - 20 - - - -
Not Reported 542 521 1 9 2 - - 2 7
Abra 51,593 48,708 281 1,068 1,508 12 - 7 -
Concrete/Brick/Stone 29,038 28,627 255 133 22 1 - - -

Wood 4,498 4,329 5 42 121 - - 1 -
Half Concrete/Brick/ 7,955 7,082 19 802 52 - - - -
Galvanized Iron/Aluminum 278 257 1 6 14 - - - -
Bamboo/Sawali/Cogon/Nipa 9,376 7,991 - 82 1,295 5 - 2 -
Asbestos 5 5 - - - - - - -
Glass - - - - - - - - -
Improvised/Salvaged 63 52 - - 4 6 - - -
Others 41 38 - - - - - 2 -
No Walls 7 7 - - - - - - -
Not Reported 318 312 1 3 - - - 2 -
Benguet 106,117 96,404 6,983 1,889 549 115 8 3 1
Concrete/Brick/Stone 49,421 42,075 6,656 677 6 1 6 - -

Wood 5,916 5,572 18 24 285 10 1 - -
Half Concrete/Brick/ 14,620 13,366 247 999 6 1 1 - -
Galvanized Iron/Aluminum 34,023 33,734 62 185 37 2 - - -
Bamboo/Sawali/Cogon/Nipa 783 567 - 1 202 8 - - -
Asbestos 2 2 - - - - - - -
Glass 6 5 - 1 - - - - -
Others 848 842 - 2 1 - - 3 -
No Walls - - - - - - - - -
Not Reported 35 35 - - - - - - -
Baguio City 87,731 75,721 8,192 3,677 30 77 15 13 -
Concrete/Brick/Stone 57,137 48,457 7,604 1,049 2 2 12 11 -

Wood 4,220 3,905 107 189 9 7 - 1 -
Half Concrete/Brick/ 17,833 15,134 406 2,286 2 3 2 - -
Galvanized Iron/Aluminum 8,288 8,065 72 145 2 3 1 - -
Bamboo/Sawali/Cogon/Nipa 43 26 - - 14 2 - 1 -
Asbestos 7 7 - - - - - - -
Glass 9 6 3 - - - - - -
Others 37 35 - 1 - - - - -
No Walls - - - - - - - - -
Not Reported 39 35 - 4 - - - - -
1 - 86
Census Year 2015

Area/ Housing nized Con - vanized Nipa/ shift/Sal Asbes- Re-
Outer Wall Materials Units Iron/ crete Iron, Ana - vaged tos Others por-
Ifugao 43,217 40,335 428 332 2,042 19 4 27 9
Concrete/Brick/Stone 11,267 10,795 396 63 9 - 3 1 -

Wood 17,054 15,794 12 39 1,183 2 1 19 2
Half Concrete/Brick/ 6,565 6,336 17 197 14 1 - - -
Galvanized Iron/Aluminum 5,941 5,888 3 21 27 1 - 1 -
Bamboo/Sawali/Cogon/Nipa 2,190 1,366 - 12 789 1 - 4 -
Asbestos 2 2 - - - - - - -
Glass 9 9 - - - - - - -
Others 96 90 - - 3 - - 2 -
No Walls 3 2 - - 1 - - - -
Not Reported 25 16 - - 2 - - - 7
Kalinga 41,990 37,401 1,068 968 2,517 26 4 2 -
Concrete/Brick/Stone 17,832 16,641 1,010 146 33 1 1 - -

Wood 10,613 9,920 13 157 516 3 1 2 -
Galvanized Iron/Aluminum 2,222 2,122 6 16 78 - - - -
Bamboo/Sawali/Cogon/Nipa 4,981 3,071 - 95 1,810 4 - - -
Asbestos 40 38 - - - - 2 - -
Glass - - - - - - - - -
Others 6 4 - 1 1 - - - -
No Walls - - - - - - - - -
Not Reported 94 94 - - - - - - -
Apayao 25,418 22,230 80 370 2,698 23 - 1 -
Concrete/Brick/Stone 10,057 9,896 56 34 66 2 - 1 -

Wood 8,849 7,550 18 99 1,171 5 - - -
Galvanized Iron/Aluminum 211 179 1 6 25 - - - -
Bamboo/Sawali/Cogon/Nipa 2,621 1,290 - 11 1,319 - - - -
Asbestos - - - - - - - - -
Glass 11 9 - 2 - - - - -
Others 9 7 - - - - - - -
No Walls 25 5 - - - - - - -
Not Reported 27 25 - 2 - - - - -
Mt. Province 34,857 31,867 1,588 784 592 13 1 - -
Concrete/Brick/Stone 8,576 6,768 1,534 272 1 - 1 - -

Wood 7,587 7,311 10 18 239 5 - - -
Half Concrete/Brick/ 4,948 4,478 34 433 3 - - - -
Galvanized Iron/Aluminum 12,042 11,967 9 54 12 - - - -
Bamboo/Sawali/Cogon/Nipa 1,093 757 - 1 327 2 - - -
Asbestos 28 28 - - - - - - -
Glass - - - - - - - - -
Others 516 508 1 5 1 - - - -
No Walls - - - - - - - - -
Not Reported 4 4 - - - - - - -
1 - 87
Table 1.18B
Census Year 2010

Area/ Housing nized Con - vanized Wood Nipa/ shift/Sal Asbes- Others Re-
CAR 347,362 310,382 11,471 8,153 2,137 13,582 436 50 1,137 14
Concrete/Brick/Stone 142,409 128,530 10,485 2,373 231 189 10 36 555 -

Wood 56,520 49,854 93 374 1,127 4,966 34 4 68 -
Half Concrete/Brick/ 56,723 50,841 780 4,715 134 208 10 4 31 -
Galvanized Iron/Aluminum 63,238 62,376 108 508 71 144 22 - 9 -
Bamboo/Sawali/Cogon/Nipa 26,147 17,073 - 169 536 7,883 69 - 417 -
Asbestos 77 70 1 - - - - 6 - -
Glass 9 7 2 - - - - - - -
Improvised/Salvaged 1,091 642 - 8 34 136 229 - 6 -
Others 872 793 - 5 1 21 2 - 50 -
No Walls 50 37 1 1 - 8 2 - 1 -
Not Reported 226 159 1 - 3 27 22 - - 14
Abra 47,642 44,532 278 804 403 1,490 52 8 66 9
Concrete/Brick/Stone 24,334 23,688 257 326 26 23 1 6 7 -

Wood 4,662 4,235 11 35 283 93 2 - 3 -
Half Concrete/Brick/ 7,518 7,073 10 371 28 28 5 2 1 -
Galvanized Iron/Aluminum 243 227 - 8 3 5 - - - -
Asbestos 15 15 - - - - - - - -
Glass - - - - - - - - - -
Improvised/Salvaged 86 56 - - - 12 18 - - -
Others 79 76 - - - 1 - - 2 -
No Walls 8 7 - - - 1 - - - -
Not Reported 98 84 - - - 5 - - - 9
Benguet 89,265 82,136 3,681 1,920 154 900 119 3 348 4
Concrete/Brick/Stone 36,700 32,184 3,497 665 36 6 3 2 307 -

Wood 6,015 5,354 15 12 92 534 6 1 1 -
Half Concrete/Brick/ 11,876 10,686 127 1,046 4 3 1 - 9 -
Bamboo/Sawali/Cogon/Nipa 1,013 683 - 5 5 297 18 - 5 -
Asbestos 11 11 - - - - - - - -
Glass 1 1 - - - - - - - -
Improvised/Salvaged 300 212 - 2 - 18 68 - 1 -
Others 292 263 - - - 4 2 - 23 -
No Walls 12 12 - - - - - - - -
Not Reported 38 17 - - - 9 8 - - 4
Baguio City 76,922 67,649 5,287 3,355 415 14 94 26 82 -
Concrete/Brick/Stone 45,092 39,299 4,604 933 153 3 3 21 76 -

Wood 3,728 3,442 38 82 163 - 3 - - -
Half Concrete/Brick/ 18,737 15,855 595.00 2,213 66 - 1 2 5 -
Galvanized Iron/Aluminum 8,978 8,773 49 126 26 1 3 - - -
Bamboo/Sawali/Cogon/Nipa 58 47 - - - 10 1 - - -
Asbestos 20 16 1 - - - - 3 - -
Glass 2 2 - - - - - - - -
Improvised/Salvaged 197 123 - 1 4 - 69 - - -
Others 61 60 - - - - - - 1 -
No Walls 1 1 - - - - - - - -
Not Reported 48 31 - - 3 - 14 - - -
1 - 88
Census Year 2010

Area/ Housing nized Con - vanized Wood Nipa/ shift/Sal Asbes- Re-
Outer Wall Materials Units Iron/ crete Iron, Ana - vaged tos Others por-
Ifugao 39,313 34,565 139 295 89 4,162 48 2 13 -
Concrete/Brick/Stone 8,867 8,616 128 72 2 40 1 - 8 -

Wood 17,200 14,626 2 48 69 2,448 4 - 3 -
Half Concrete/Brick/ 5,017 4,831 6 136 2 42 - - - -
Galvanized Iron/Aluminum 4,845 4,797 3 16 4 22 3 - - -
Asbestos 6 4 - - - - - 2 - -
Glass 1 1 - - - - - - - -
Improvised/Salvaged 135 67 - 4 - 28 36 - - -
Others 149 147 - 1 - 1 - - - -
No Walls 1 1 - - - - - - - -
Not Reported 2 2 - - - - - - - -
Kalinga 38,310 32,748 692 659 834 3,165 64 2 146 -

Wood 9,709 8,777 10 37 353 512 11 2 7 -
Half Concrete/Brick/ 6,201 5,710 13 397 24 55 - - 2 -
Asbestos 9 9 - - - - - - - -
Glass 1 1 - - - - - - - -
Improvised/Salvaged 203 110 - - 29 20 40 - 4 -
Others 127 118 - 1 1 3 - - 4 -
No Walls 9 8 - - - 1 - - - -
Not Reported 27 18 - - - 9 - - - -
Apayao 22,936 19,133 44 435 175 2,763 47 2 337 -

Wood 8,323 6,972 8 121 117 1,049 5 1 50 -
Half Concrete/Brick/ 3,425 3,099 6 230 9 73 3 - 5 -
Galvanized Iron/Aluminum 134 115 - 5 2 11 - - 1 -
Asbestos 13 12 - - - - - 1 - -
Glass 2 2 - - - - - - - -
Improvised/Salvaged 119 40 - 1 1 51 25 - 1 -
Others 44 19 - 2 - 4 - - 19 -
No Walls 16 7 - 1 - 5 2 - 1 -
Not Reported 11 7 - - - 4 - - - -
Mt. Province 32,974 29,619 1,350 685 67 1,088 12 7 145 1
Concrete/Brick/Stone 6,331 4,697 1,303 199 1 3 - 7 121 -

Wood 6,883 6,448 9 39 50 330 3 - 4 -
Half Concrete/Brick/ 3,949 3,587 23 322 1 7 - - 9 -
Galvanized Iron/Aluminum 14,127 13,976 11 114 13 13 - - - -
Bamboo/Sawali/Cogon/Nipa 1,503 763 - 9 2 719 - - 10 -
Asbestos 3 3 - - - - - - - -
Glass 2 - 2 - - - - - - -
Improvised/Salvaged 51 34 - 1 - 7 9 - - -
Others 120 110 - 1 - 8 - - 1 -
No Walls 3 1 1 - - 1 - - - -
Not Reported 2 - 1 - - - - - - 1
1 - 89
Table 1.18C
Census Year 2000

Alumi - Clay Con - haw Impro - Others ted
CAR 254,334 214,896 3,996 5,428 2,523 24,855 448 1,877 311
Concrete/Brick/Stone 61,611 57,048 3,344 878 117 143 18 63 -

Wood 53,375 42,262 181 381 1,409 8,903 40 199 -
Half Concrete/Brick/
Stone and HalfWood 46,284 42,059 342 3,470 124 257 10 22 -
Bamboo/Sawali/Cogon/Nipa 34,265 16,739 - 207 596 15,147 59 1,517 -
Makeshift/Salvaged/
Improvised 1,179 727 - 11 3 122 278 38 -
Asbestos/Glass 145 101 23 3 8 - - 10 -
Others/Not Reported 917 523 12 6 13 39 3 11 310
No Walls 177 120 10 2 11 20 3 10 1
Abra 39,200 33,987 502 951 241 3,120 23 67 309
Concrete/Brick/Stone 13,478 12,778 422 252 2 19 2 3 -
Wood 4,021 3,604 22 69 185 137 1 3 -
Stone and HalfWood 7,688 7,060 39 552 13 24 - - -
Galvanized Iron/Aluminum 189 175 3 2 3 6 - - -
Bamboo/Sawali/Cogon/Nipa 12,913 9,847 - 67 34 2,897 11 57 -
Makeshift/Salvaged/
Improvised 72 48 - 2 - 12 9 1 -
Asbestos/Glass 37 32 2 1 - - - 2 -
Others/Not Reported 771 423 8 5 3 22 - 1 309
No Walls 31 20 6 1 1 3 - - -
Benguet 62,683 56,169 1,239 1,883 253 2,415 173 49 502

Wood 6,822 5,134 9 39 188 1,436 12 4 -
Stone and HalfWood 11,420 9,939 126 1,329 10 11 4 1 -
Bamboo/Sawali/Cogon/Nipa 1,400 546 - 3 9 835 3 4 -
Makeshift/Salvaged/
Improvised 506 313 - 2 2 22 134 33 -
Asbestos/Glass 15 10 3 1 - - - 1 -
Others/Not Reported 951 404 8 12 9 14 1 1 502
No Walls 20 16 1 - 2 - 1 - -
Baguio City 51,158 48,081 1,210 1,099 324 18 113 41 272
Wood 4,936 4,697 29 51 147 5 3 4 -
Stone and HalfWood 14,135 13,192 109 754 71 1 6 2 -
Bamboo/Sawali/Cogon/Nipa 49 44 - - - 4 1 - -
Makeshift/Salvaged/
Improvised 286 209 - 2 1 3 70 1 -
Asbestos/Glass 9 8 - - 1 - - - -
Others/Not Reported 559 272 7 5 3 - 1 - 271
No Walls 21 19 1 - - - - - 1
1 - 90
Census Year 2000

Alumi - Clay Con - haw Impro - Others ted
Ifugao 31,134 21,972 116 232 161 8,346 38 37 232

Wood 15,679 10,674 34 53 120 4,781 12 5 -
Stone and HaflWood 3,024 2,812 8 115 4 83 - 2 -
Galvanized Iron/Aluminum 3,431 3,356 6 20 8 41 - - -
Bamboo/Sawali/Cogon/Nipa 4,981 1,591 - 21 24 3,340 - 5 -
Makeshift/Salvaged/
Improvised 103 54 - - - 22 26 1 -
Asbestos/Glass 11 7 3 - - - - 1 -
Others/Not Reported 502 210 5 3 1 38 - 13 232
No Walls 20 18 - - 1 1 - - -
Kalinga-Apayao 48,055 34,187 362 614 1,166 9,078 94 1,793 761

Wood 15,272 12,518 78 102 612 1,773 11 178 -
Stone and HalfWood 7,283 6,774 30 324 12 128 - 15 -
Bamboo/Sawali/Cogon/Nipa 13,388 4,413 - 85 498 6,900 41 1,451 -
Makeshift/Salvaged/
Improvised 183 80 - 4 - 62 35 2 -
Asbestos/Glass 59 33 14 - 6 - - 6 -
Others/Not Reported 1,392 417 13 5 9 65 3 119 761
No Walls 66 32 1 - 6 15 2 10 -
Mt. Province 27,660 22,093 589 680 400 1,982 9 17 1,881

Wood 6,645 5,635 9 67 157 771 1 5 -
Stone and HaflWood 2,734 2,282 30 396 14 10 - 2 -
Bamboo/Sawali/Cogon/Nipa 1,534 298 - 31 31 1,171 3 - -
Makeshift/Salvaged/
Improvised 29 23 - 1 - 1 4 - -
Asbestos/Glass 14 11 1 1 1 - - - -
Others/Not Reported 2,298 390 2 7 10 4 - 4 1,881
No Walls 19 15 1 1 1 1 - - -
1 - 91
Table 1.19A
NUMBER OF HOUSEHOLDS IN OCCUPIED DWELLING UNITS BY MAIN SOURCE
OF WATER SUPPLY FOR DRINKING BY PROVINCE/CITY
Census Years 2010 and 2015
Area/Source of Drinking Water 2010 2015
CAR 352,348 395,748
Own Use Faucet, Community Water System 94,452 43,133

Shared Faucet, Community Water System 56,280 21,313
Own Use Tubed/Piped Deep Well 16,111 16,030
Shared Tubed/Piped Deep Well 31,956 32,052
Tubed/Piped Shallow Well 8,730 7,879
Dug Well 11,799 9,710
Protected Spring 32,391 85,346
Unprotected Spring 12,201 41,003
Lake,River,Rain and others 2,729 1,528
Peddler 2,886 3,187
Bottled Water 81,265 134,470
Others 1,548 97
Abra 49,088 52,929

Dug Well 2,205 1,384
Unprotected Spring 990 2,489
Lake,River,Rain and others 853 383
Peddler 41 24
Others - 25
Apayao 23,337 25,560

Own Use Faucet, Community Water System 2,163 347
Shared Faucet, Community Water System 1,880 430
Dug Well 5,730 6,870
Peddler - 415
Bottled Water 820 2,472
Others 264 -
1 - 92
OF WATER SUPPLY FOR DRINKING BY PROVINCE
Census Years 2010 and 2015
Baguio 78,313 89,987

Own Use Tubed/Piped Deep Well 349 305
Shared Tubed/Piped Deep Well 367 537
Tubed/Piped Shallow Well 117 86
Dug Well 306 89
Unprotected Spring 509 265
Peddler 1,429 1,368
Others 910 51
Benguet 1/ 90,441 106,838

Own Use Tubed/Piped Deep Well 1,342 886
Tubed/Piped Shallow Well 1,143 108
Dug Well 770 431
Peddler 1,030 1,049
Others 216 6
Ifugao 39,479 43,281

Dug Well 1,165 237
Peddler 274 117
Others 31 10
1 - 93
OF WATER SUPPLY FOR DRINKING BY PROVINCE
Census Years 2010
Kalinga 38,642 42,115

Dug Well 1,083 319
Peddler - 163
Others 73 5
Mt. Province 33,048 35,038

Tubed/Piped Shallow Well 853 2,045
Dug Well 540 380
Lake,River,Rain and others 250 -
Peddler 112 51
Others 54 -
1/ Excluding Baguio City
1 - 94
Table 1.19B
OF WATER SUPPLY FOR COOKING BY PROVINCE
Census Years 2010
CAR 352,411 395,748

Other Faucet, Community Water System 18,379 22,351
Tubed/Piped Deep Well 12,414 11,312
Dug Well 12,314 44,275
Spring, Lake, River Rain, etc. 3,879 2,408
Peddler 7,108 13,424
Others 2,987 215
Abra 49,145 52,929

Dug Well 2,215 1,478
Lake,River,Rain and others 1,110 386
Peddler 57 16
Bottled Water 30 172
Others 62 7
Apayao 23,337 25,560

Dug Well 6,072 7,856
Peddler - 34
Others 253 -
1 - 95
Census Years 2010
Baguio 78,313 89,987

Own Use Tubed/Piped Deep Well 896 1,370
Tubed/Piped Shallow Well 409 219
Dug Well 590 444
Unprotected Spring 809 914
Peddler 4,794 8,829
Others 2,044 123
Benguet 1/ 90,447 106,838

Dug Well 840 569
Lake,River,Rain and others 1,000 1,235
Peddler 1,485 3,722
Others 468 64
Ifugao 39,481 43,281

Dug Well 1,176 241
Peddler 724 210
Others 31 13
1 - 96
Census Years 2010
Kalinga 38,641 42,115

Dug Well 1,078 333
Peddler - 139
Others 78 8
Mt. Province 33,047 35,038

Tubed/Piped Shallow Well 998 2,103
Dug Well 443 391
Lake,River,Rain and others 585 -
Peddler 48 474
Bottled Water 15 59
Others 51 -
1/Excluding Baguio City
1 - 97
Table 1.20
NUMBER OF HOUSEHOLDS IN OCCUPIED DWELLING UNITS BY KIND OF
LIGHTING USED BY PROVINCE
Census Years 1990, 2000, 2010 and 2015
Area/
1990 2000 2010 2015
Kind of Lightning UsedTotal
CAR 180,972 263,851 352,406 395,748

Electricity 92,420 162,477 288,108 360,533
Kerosene (Gaas) 78,977 86,695 56,652 19,865
LPG 3,003 4,574 2,165 453
Oil 279 346 339 219
Others 6,293 2,710 4,852 5,911
Not Reported - 7,049 203 -
Abra 34,335 40,709 49,144 52,929
Electricity 18,707 26,375 38,951 46,491
Kerosene (Gaas) 14,590 12,508 9,137 4,009
LPG 291 313 112 22
Oil 137 28 10 7
Others 610 1,485 852 1,339
None 82 5
Apayao 13,754 18,165 23,337 25,560
Electricity - 6,072 13,409 17,343
Kerosene (Gaas) - 11,366 9,455 4,650
LPG - 178 67 16
Oil - 21 145 1
Others - 528 250 445
None 11 17
Baguio City ... 52,302 78,313 89,987
Electricity ... 49,836 76,727 89,273
Kerosene (Gaas) ... 752 645 259
LPG ... 537 804 206
Oil ... 21 9 6
Others ... 1,156 90 171
None 38 -
Not Reported - -
Benguet 95,082 63,123 90,440 106,838
Electricity 60,996 39,922 78,290 98,650
Kerosene (Gaas) 29,466 18,670 9,387 3,511
LPG 2,173 2,710 753 77
Oil 122 130 59 182
Others 2,325 1,691 1,866 2,890
None 80 -
Not Reported 5 -
Ifugao 27,809 31,346 39,479 43,281
Electricity 5,517 11,536 24,794 36,693
Kerosene (Gaas) 20,932 18,331 13,815 3,572
LPG 419 342 172 82
Oil - 38 15 3
Others 941 1,099 663 842
None 20 32
Kalinga 24,623 38,643 42,115
Electricity 6,427 28,552 38,747
Kerosene (Gaas) 16,547 9,209 2,687
LPG 492 126 30
Oil - 86 10
Others 1,157 644 56
None 26 13
Mountain Province 23,746 27,756 33,050 35,038
Electricity 7,200 15,248 27,385 33,336
Kerosene (Gaas) 13,989 9,829 5,004 1,177
LPG 120 226 131 20
Oil 20 16 15 10
Others 2,417 2,437 487 168
None 28 26
1/ Data for Benguet for the years 1980 and 1990 include Baguio City.
Note: Figures for 1990 and 2000 are estimates based on 10% samples. LPG=Liquified Petroleum Gas
1 - 98
Table 1.21
NUMBER OF HOUSEHOLDS IN OCCUPIED DWELLING UNITS BY
KIND OF COOKING FUEL USED BY PROVINCE, URBAN-RURAL
Census Years 1980, 1990, 2000 and 2010
Area/ 1980 1990 2000 2010
Kind of Cooking Fuel Used Total Total Total Total
CAR 174,507 219,349 263,851 352,398

Electricity 3,269 7,463 4,564 5,803
Kerosene (Gaas) 21,088 17,579 6,726 4,987
Liquified Petroleum Gas (LPG) 17,003 56,504 93,440 188,026
Wood, Charcoal 131,278 136,989 100,218 153,361
Others 1,869 737 515 201
None - 77 6,086 20
Abra 29,599 34,335 40,709 49,144
Electricity 162 782 613 623
Kerosene (Gaas) 987 669 1,100 511
Wood, Charcoal 27,295 30,034 24,517 36,651
Others 55 65 87 15
None - 28 998 -
Apayao ... ... 18,165 23,337
Electricity ... ... 199 129
Kerosene (Gaas) ... ... 759 387
Liquified Petroleum Gas (LPG) ... ... 4,641 2,626
Wood, Charcoal ... ... 11,911 20,169
Others ... ... 140 21
None ... ... 515 5
Benguet 67,189 95,082 63,123 168,748
Electricity 2,822 5,547 2,106 4,093
Kerosene (Gaas) 15,740 12,649 1,935 2,836
Wood, Charcoal 33,107 28,246 14,487 21,839
Others 855 150 112 65
None - 21 1,009 5
Ifugao 23,243 27,809 31,346 39,478
Kerosene (Gaas) 1,131 1,431 1,098 493
Liquified Petroleum Gas (LPG) 389 1,771 9,211 8,460
Wood, Charcoal 21,475 24,316 20,050 30,218
Others 111 59 50 34
None - 20 583 10
Kalinga 33,307 38,377 30,450 38,642
Kerosene (Gaas) 2,206 1,834 979 539
Wood, Charcoal 29,858 34,048 17,687 28,462
Others 577 273 89 34
None - - 854 -
Mountain Province 21,169 23,746 27,756 33,049
Kerosene (Gaas) 1,024 996 855 221
Wood, Charcoal 19,543 20,345 11,566 16,022
Others 271 190 37 32
None - 8 2,127 -
Note: The Province of Apayao was still a part of Kalinga in 1980 and 1990.
1 - 99
Table 1.22
NUMBER OF HOUSEHOLDS IN OCCUPIED DWELLING UNITS WITH
HOUSEHOLD APPLIANCES/CONVENIENCES BY PROVINCE
Census Year 2010
Area/Appliances/
CAR Abra Apayao Benguet 1/ Ifugao Kalinga Mt. Province
Conveniences
Total Number of Households 348,586 49,144 19,520 168,753 39,479 38,642 33,048
Household with at least one

household convenice/device 320,519 43,144 19,520 165,590 31,327 32,349 28,589
Radio/Radio Casette 237,275 34,870 13,374 67,405 76,740 24,794 20,092

Television Set 214,580 29,446 9,743 72,669 64,384 20,629 17,709
CD/DVD/VCD Player 179,051 23,121 9,111 61,247 54,017 16,836 14,719
Component/Stereo Set 58,606 7,599 2,649 27,559 15,023 3,314 2,462
Landline/
Wireless Telephone 15,754 1,056 169 11,675 2,542 148 164
Cellular Phone 246,835 35,414 13,510 74,828 77,431 22,770 22,882
Personal Computer 51,667 3,912 1,196 29,509 12,550 2,230 2,270
Refrigerator/Freezer 124,452 16,398 4,552 53,596 36,247 6,955 6,704
Cooking Range 143,865 9,394 2,089 66,532 50,181 5,520 10,149
Washing Machine 105,692 9,084 3,300 50,924 32,198 4,930 5,256
Car/Jeep/Van 36,804 3,519 1,180 14,573 12,853 2,429 2,250
Motorcycle/Tricycle 29,884 13,212 4,258 3,423 2,166 5,349 1,476
Motorized Boat/Banca 1,054 162 250 300 206 65 71
Household without any

household convenice/device 31,884 6,000 3,817 3,163 8,152 6,293 4,459
Note: Figures are based on 20-percent sample households. Details may not add up to total due to rounding off
1/ Including Baguio City
1 - 100
Table 1.23
NUMBER OF HOUSEHOLDS IN OCCUPIED DWELLING UNITS BY TYPE
OF TOILET FACILITY BEING USED BY PROVINCE
Census Years 1980, 1990, 2000 and 2010
Province/
1980 1990 2000 2010
Toilet Facilities
Philippines 8,607,187 11,407,262 15,278,808 …
CAR 174,507 219,349 263,851 352,403
Private Water-Sealed, Sewer/Septic Tank 26,374 51,250 96,578 200,929

Public Water-Sealed, Sewer/Septic Tank 12,581 19,562 23,330 38,332
Private Water-Sealed, Other Depository 10,020 12,191 28,580 21,552
Public Water-Sealed, Other Depository 7,302 7,139 11,972 10,146
Closed Pit 45,921 32,451 38,891 41,855
Open Pit 57,900 76,719 53,377 31,416
Others 3,440 3,211 1,764 972
None 10,969 16,826 9,359 7,202
Abra 29,599 34,335 40,709 49,144

Public Water-Sealed, Sewer/Septic Tank 620 1,253 2,429 3,571
Public Water-Sealed, Other Depository 848 1,094 2,556 997
Closed Pit 15,344 8,233 8,567 7,066
Open Pit 6,386 9,551 6,670 2,708
Others 56 126 126 192
None 2,374 3,734 1,086 946
Apayao ... ... 18,165 23,337
Private Water-Sealed, Sewer/Septic Tank ... ... 1,515 7,908

Public Water-Sealed, Sewer/Septic Tank ... ... 253 1,142
Private Water-Sealed, Other Depository ... ... 6,128 5,376
Public Water-Sealed, Other Depository ... ... 1,743 1,800
Closed Pit ... ... 3,266 4,239
Open Pit ... ... 4,980 2,723
Others ... ... 131 11
None ... ... 149 139
Baguio ... ... 52,302 78,313
Public Water-Sealed, Sewer/Septic Tank ... ... 8,492 13,168

Private Water-Sealed, Other Depository ... ... 1,678 1,196
Public Water-Sealed, Other Depository ... ... 890 1,135
Closed Pit ... ... 972 658
Open Pit ... ... 1,321 241
Others ... ... 159 183
None ... ... 41 72
Note: Figures for 1980 are estimates based on a 20% sample while figures for 1990, 2000 and 2010 are based
on a 10% sample.
1 - 101
Province/
1980 1990 2000 2010
Toilet Facilities
Benguet 67,189 95,082 63,123 168,753

Public Water-Sealed, Sewer/Septic Tank 10,722 15,695 7,843 25,238
Closed Pit 15,896 13,649 12,230 11,329
Open Pit 15,551 23,192 12,874 8,627
Others 554 517 254 273
None 1,793 1,623 268 474
Ifugao 23,243 27,809 31,346 39,479
Private Water-Sealed, Sewer/Septic Tank 227 1,693 4,019 13,389

Public Water-Sealed, Sewer/Septic Tank 163 725 1,432 2,075
Private Water-Sealed, Other Depository 581 926 2,721 3,117
Public Water-Sealed, Other Depository 244 415 1,027 1,142
Closed Pit 8,800 4,446 7,266 10,773
Open Pit 12,055 16,866 13,806 8,376
Others 68 178 160 74
None 1,105 2,560 915 532
Kalinga 33,307 38,377 30,450 38,642

Public Water-Sealed, Sewer/Septic Tank 807 1,646 1,520 4,168
Closed Pit 3,755 4,313 3,046 5,687
Open Pit 10,842 13,586 7,687 6,174
Others 385 248 608 155
None 3,582 5,861 4,489 3,706
Mt. Province 21,169 23,746 27,756 33,048
Private Water-Sealed, Sewer/Septic Tank 792 2,602 10,931 20,827

Public Water-Sealed, Sewer/Septic Tank 269 243 1,361 2,138
Private Water-Sealed, Other Depository 118 281 2,337 1,732
Public Water-Sealed, Other Depository 306 96 807 1,109
Closed Pit 2,126 1,810 3,544 2,761
Open Pit 13,066 13,524 6,039 2,808
Others 2,377 2,142 326 267
None 2,115 3,048 2,411 1,405
1 - 102
Table 1.24
NUMBER OF HOUSEHOLDS BY USUAL MANNER OF GARBAGE
DISPOSAL BY PROVINCE/CITY/MUNICIPALITY
Census Year 2010
Usual Manner of Garbage Disposal

Total No. Picked-Up Dumping in
Area Composting Feeding
of HHs by Garbage Individual Burning (Later Used Burying to Others
Pit (Not
Truck as Fertilizer) Animals
Returned)
CAR 352,403 115,236 50,067 64,946 30,316 3,931 86,871 1,037
Abra 49,144 8,222 7,762 23,859 5,803 535 2,698 264

Bangued 9,779 4,273 912 3,946 452 60 136 -
Boliney 822 86 80 - - - 657 -
Bucay 3,617 106 360 2,597 234 77 242 -
Bucloc 414 24 113 78 3 1 1 194
Daguioman 327 5 146 13 13 16 133 1
Danglas 950 20 20 670 223 - 16 -
Dolores 2,418 170 234 1,601 372 41 - -
La Paz 3,173 46 327 1,694 679 46 381 -
Lacub 561 - 154 153 249 5 - -
Lagangilang 2,817 427 181 1,944 255 10 - -
Lagayan 904 - 125 257 337 16 165 5
Langiden 685 - 167 474 43 - - -
Licuan-Baay 832 6 224 309 232 - 6 54
Luba 1,282 475 348 119 268 9 63 -
Malibcong 723 11 634 65 8 - 5 -
Manabo 2,264 1,142 332 472 139 5 175 -
Peñarrubia 1,388 16 85 840 407 16 24 -
Pidigan 2,433 124 433 1,683 178 15 - -
Pilar 2,107 9 681 930 471 15 - -
Sal-lapadan 1,245 252 489 301 122 - 82 -
San Isidro 1,038 76 32 848 67 15 - -
San Juan 2,274 135 554 1,208 177 52 148 -
San Quintin 1,152 33 196 756 44 20 93 10
Tayum 2,951 669 205 1,895 87 95 - -
Tineg 903 - 158 320 419 - 6 -
Tubo 957 - 267 159 192 16 324 -
Villaviciosa 1,128 118 307 526 130 5 42 -
Apayao 23,337 528 2,834 2,209 1,675 417 15,658 17

Calanasan (Bayag) 2,208 21 428 441 165 27 1,118 7
Conner 4,792 30 769 272 272 144 3,295 10
Flora 3,727 146 97 301 309 152 2,722 -
Kabugao 3,116 49 422 188 357 27 2,073 -
Luna 3,849 126 267 246 147 26 3,037 -
Pudtol 2,900 104 205 156 60 31 2,344 -
Sta. Marcela 2,745 52 646 604 364 10 1,069 -
Baguio City 78,313 71,859 1,084 2,310 1,897 308 841 15
Note: Figures are based on a 10% sample

1 - 103
Total No. Picked-Up Dumping in Composting Feeding

Area
of HHs by Garbage Individual Burning (Later Used Burying to Others
Pit (Not
Returned)
Benguet 90,440 26,554 19,873 18,729 14,263 1,301 9,490 229
Atok 4,158 5 382 836 2,564 67 282 21

Bakun 2,828 5 865 301 192 5 1,459 -
Bokod 2,646 47 917 1,066 423 45 123 25
Buguias 8,785 165 4,470 2,132 1,305 103 605 5
Itogon 11,865 838 3,880 2,905 1,782 326 1,997 138
Kabayan 2,697 27 931 696 880 64 98 -
Kapangan 4,126 40 602 2,243 626 91 518 5
Kibungan 3,769 122 1,200 1,445 908 88 - 5
La Trinidad 26,717 21,153 942 574 2,327 97 1,614 10
Mankayan 7,479 2,068 2,607 1,441 974 179 205 5
Sablan 2,315 42 543 366 307 38 1,018 -
Tuba 9,646 1,976 1,537 3,383 1,156 141 1,442 10
Tublay 3,409 65 996 1,340 819 56 128 5
Ifugao 39,479 3,951 10,832 13,323 2,134 704 8,276 259
Aguinaldo 4,100 54 1,764 2,062 156 19 44 -

Alfonso Lista 6,190 36 813 1,294 118 30 3,898 -
Asipulo 2,677 25 798 745 345 134 486 145
Banaue 4,385 1,149 1,038 1,000 357 70 711 60
Hingyon 2,073 5 440 114 10 15 1,484 5
Hungduan 1,967 - 1,206 281 352 24 104 -
Kiangan 3,119 507 351 2,172 63 10 16 -
Lagawe 3,703 1,029 1,099 1,323 193 50 10 -
Lamut 4,937 782 772 2,783 235 35 330 -
Mayoyao 3,514 141 1,293 1,153 141 26 750 10
Tinoc 2,814 223 1,259 394 165 290 443 40
Kalinga 38,642 930 2,145 1,467 899 230 32,810 161
Balbalan 2,137 - 196 20 26 10 1,885 -

Lubuagan 1,823 280 148 46 135 10 1,205 -
Pasil 1,683 22 274 20 35 - 1,328 4
Pinukpuk 5,512 16 304 344 62 36 4,750 -
Rizal (Liwan) 3,433 - 64 180 40 35 3,113 -
Tabuk 20,335 595 1,108 777 514 129 17,099 113
Tanudan 1,414 - 23 35 86 10 1,217 44
Tinglayan 2,305 17 29 45 - - 2,214 -
1 - 104

Dumping in
Total No. Picked-Up Composting Feeding
Area Individual
of HHs by Garbage Burning (Later Used Burying to Others
Pit (Not
Returned)
Mt. Province 33,048 3,192 5,537 3,049 3,645 436 17,098 92
Barlig 1,553 - 328 608 195 79 343 -

Bauko 6,253 26 1,591 633 1,080 93 2,830 -
Besao 1,830 - 43 31 15 16 1,725 -
Bontoc 5,810 2,966 811 443 136 95 1,334 26
Natonin 1,969 5 865 389 277 10 422 -
Paracelis 5,171 29 368 382 176 31 4,185 -
Sabangan 1,953 5 79 89 693 30 1,056 -
Sadanga 1,789 120 246 63 161 - 1,192 -
Sagada 2,677 20 35 63 130 15 2,408 5
Tadian 4,049 21 1,169 347 781 68 1,602 61
Fig. 1.6 Usual Manner of Garbage Disposal in CAR, 2010

(In Percent)
14% 18%
9%
33%
25%
1%
0%
Picked-Up by Garbage Truck
Dumping in Individual Pit (Not Returned)
Burning
Composting (Later Used as Fertilizer)
Burying
Feeding to Animals
Others
1 - 105
Table 1.25
HUMAN DEVELOPMENT INDEX BY PROVINCE
1997
(Life Expectancy in Years, Enrolment and Literacy in Percent, Income in Pesos)
Life Expectancy Education Income

Province Level (at Index Mean Years Expected Index Real Per Index HDI
birth) of Schooling Years of Capita
Schooling
CAR
Abra 62.5 0.673 8.1 12.6 0.840 34,195 0.186 0.472
Apayao 61.1 0.651 7.2 11.9 0.772 39,476 0.162 0.498
Benguet 65.3 0.717 9.3 14.1 0.954 65,756 0.448 0.721
Ifugao 59.8 0.629 6.9 12.7 0.781 32,579 0.157 0.435
Kalinga 58.2 0.620 7.4 12.8 0.812 44,978 0.184 0.538
Mt. Province 59.4 0.623 7.6 14.3 0.866 29,163 0.223 0.411

2000

Schooling
CAR
Abra 64.6 0.705 8.0 12.1 0.816 41,637 0.816 0.538
Apayao 61.5 0.658 6.4 11.8 0.725 37,394 0.725 0.474
Benguet 69.0 0.775 8.9 14.0 0.931 68,640 0.931 0.748
Ifugao 60.0 0.634 5.6 12.9 0.706 27,467 0.706 0.365
Kalinga 60.8 0.645 6.9 13.5 0.801 40,436 0.801 0.510
Mt. Province 61.3 0.654 6.7 13.3 0.786 35,503 0.786 0.469

2003
Schooling
CAR
Abra 66.0 0.728 7.9 13.2 0.848 39,927 0.251 0.537
Apayao 62.2 0.668 7.3 12.1 0.785 35,612 0.202 0.473
Benguet 70.9 0.806 9.2 14.6 0.964 72,384 0.622 0.785
Ifugao 60.6 0.643 6.1 13.6 0.757 37,828 0.227 0.480
Kalinga 61.4 0.655 7.4 13.1 0.822 33,876 0.822 0.461
Mt. Province 62.1 0.666 7.3 13.7 0.833 30,319 0.833 0.428
1 - 106
2006

Schooling
CAR
Abra 67.5 0.752 8.8 12.7 0.877 31,113 0.150 0.463
Apayao 62.8 0.678 6.9 13.3 0.798 31,941 0.160 0.442
Benguet 72.9 0.837 9.5 14.5 0.975 78,527 0.693 0.827
Ifugao 61.2 0.652 7.0 11.9 0.761 34,474 0.189 0.454
Kalinga 62.0 0.664 6.8 12.2 0.756 35,128 0.196 0.462
Mt. Province 62.9 0.679 7.0 13.7 0.820 39,280 0.244 0.514

2009

Schooling
CAR
Abra 69.0 0.775 8.7 12.3 0.860 33,236 0.175 0.488
Apayao 63.5 0.688 7.4 12.7 0.810 38,603 0.235 0.509
Benguet 74.8 0.867 10.0 14.0 0.988 80,431 0.714 0.849
Ifugao 61.7 0.661 5.4 12.1 0.731 36,109 0.208 0.465
Kalinga 62.6 0.674 7.1 12.9 0.796 43,656 0.294 0.540
Mt. Province 63.7 0.692 7.5 13.2 0.828 30,245 0.141 0.432

2012

Schooling
CAR
Abra 70.4 0.775 9.2 12.0 0.873 36,292 0.215 0.526
Apayao a/b/ 64.1 0.678 7.2 12.3 0.783 26,297 0.102 0.379
Benguet 76.7 0.873 10.8 13.5 1.000 77,747 0.684 0.842
Ifugao a/ 62.3 0.651 7.5 12.1 0.788 37,340 0.227 0.488
Kalinga 63.2 0.665 8.5 12.4 0.854 42,606 0.287 0.546
Mt. Provincea/ 64.5 0.685 8.4 13.0 0.863 33,047 0.179 0.473
Note:
1/ 2012 HDI estimates are not comparable to previously-published provincial HDI.
a. Coefficient of variation of 2012 provincial mean per capita is greater than 10%.
b. Coefficient of variation of 2012 means years of schooling is greater than 10%.
1 - 107
Table 1.26
HOUSEHOLD POPULATION BY ETHNICITY GROUPS BY PROVINCE/CITY
Census Year 2010

Total 1,611,669 234,000 112,523 315,800 403,129 190,948 201,206 154,063

% to Total 100.00 14.52 6.98 19.59 25.01 11.85 12.48 9.56
Applai 64,271 0 1,379 19,903 10,163 0 4,382 28,444

Balangao 1/ 25,486 5 7 1,678 261 724 1,942 20,869
Bontok 51,330 32 145 14,931 8,862 544 5,762 21,054
Ibaloy 145,010 84 1,470 21,292 120,741 431 367 625
Ifugao 2/ 140,653 107 101 10,635 7,423 120,874 383 1,130
Isnag 37,399 138 36,406 373 224 21 220 17
Iwak 3/ 192 0 0 19 166 4 2 1
Kalanguya 4/ 39,412 11 52 1,354 16,470 21,035 30 460
Kalinga 150,808 108 3,765 5,759 5,716 349 132,343 2,768
Kankanaey 276,195 296 4,070 36,854 180,516 1,650 3,952 48,857
Karao 1,681 0 1 17 1,643 0 0 20
Tingguian 5/ 26,625 22,934 1,293 1,264 363 97 597 77
Other Indigenous Ethnic Groups 6/ 106,768 49,238 8,794 7,027 3,056 18,442 11,225 8,994
Muslim Ethnic Goups 7/ 715 98 46 281 101 75 56 58
Non-indigenous Ethnic Groups 8/ 526,176 160,725 54,941 190,126 46,710 25,699 39,737 8,230
Other Muslim Ethnic Groups 9/ 3,774 148 41 2,864 429 56 177 59
Others not classified above 15,174 76 12 1,423 285 947 31 12,400
Notes:
1/ Includes Balangao and Baliwon/Gaddang.
2/ Includes Ifugao, Ayangan and Tuwali.
3/ Sometimes known as Iowak, Owak or I-wak.
4/ Includes Kalanguya and Kalanguya/Ikalahan.
5/ Sometimes known as Itneg.
6/ As identified by the National Commission on Indigenous Peoples (NCIP).
7/ As identified by NCIP and National Commission on Muslim Filipinos (NCMF).
8/ As listed by the National Statistics Office for the census.
9/ As identified by NCMF.
Source Basic Data: Philippine Statistics Authority
1 - 108
Chapter 2
INCOME & PRICES
Data on the levels and patterns of family income and expenditure, poverty incidence
and threshold and price indices are vital indicators of the socioeconomic status of the
people. Specifically, these data provide a picture of the standard of living, the varying
degrees of inequality, the purchasing capacity and the demands for goods and services
of the families. The data are essential in the conceptualization and assessment of
poverty alleviation programs of government, private and non-government organizations.
The data have become more significant to all sectors now that genuine efforts are being
demonstrated in pursuing the social reform agenda. The trends, patterns and signals
shown by the data have been given wide and serious attention due to the far reaching
ramifications on policies and programs aimed at people empowerment. The use of the
data had accordingly permeated all echelons of the government bureaucracy, private
businesses and even the ordinary citizens themselves. With the support provided by the
data, interventions can be implemented to help the citizenry respond to situations
brought about by increased prices and incidence of poverty and low-income capacity,
among others.
This chapter presents family income, expenditures and savings and consumer price
indices data of the region and its respective provinces. Several indicators derived from
these basic data such as poverty incidence and threshold, inflation rate and purchasing
power of the peso are also shown in this chapter. The income, expenditures, and price
data are generated from the results of the Family Income and Expenditures Survey
(FIES) and price surveys of the Philippine Statistics Authority (PSA). The poverty
statistics are computed using the results of the FIES by the Technical Committee on
Poverty Statistics (TC PovStat). This chapter also presents Millennium Development
Goals (MDG) indicators marked with the MDG icon:
HIGHLIGHTS
• Almost 17 out of 100 families were estimated to be poor in 2015. This figure is
slightly lower than in 2012 which was estimated at almost 20 poor out of 100
families.
• About 15 in 100 Cordillerans lived in extreme poverty in 2015.
• In 2015, the three basic sectors in the Cordilleras which posted the highest poverty
incidence were as follow: Children and Farmer (28.1%) and self-employed (25.2%).
• Based on the small area estimates of poverty, the least poor residents in CAR have
consistently been found in Baguio City and La Trinidad in 2000, 2003, 2009 and
2012.
• The Consumer Price Index (2006=100) in CAR for all items rose by 1.8 percent in
2017.
• One peso in 2006 was worth only 69 centavos in December 2017.
2-1
Table 2.1 Total Number of Families, Average Annual Income, Expenditure and 2-4
Savings by Region: 2012 and 2015
Table 2.2 Total Number of Families, Total and Average Annual Income, Expenditure and 2-6
Savings by Income Class: 2012 and 2015
Table 2.3 Total Numbers of Families , Total Average Annual Income, Expenditure and 2-7
Savings by Expenditure Class, 2012 and 2015
Table 2.4 Average Annual Family Income and Expenditure by Family Size, By Income Class 2-8
Philippines and CAR: 2012 and 2015
Table 2.5 Mean and Medial Family Income and Expenditure by Income Decile: 2012 and 2015 2 - 10
Table 2.6 Distribution of Total Annual Family Income by Income Decile and Gini Ratio in CAR, 2 - 11
1997 and 2000
Table 2.7 Distribution of families by income class, by Main Source of Income Philippines 2 - 12
Philippines and CAR: 2012 and 2015
Table 2.8 Distribution of Total Family Expenditures by Expenditure Group, Income 2 - 13

Class, Philippines and CAR: 2015
Table 2.9 Total Number of Families, Total and Average Per Capita Annual Income and 2 - 15
Expenditure by Per Capita Income Class and Province/City, 2000
Table 2.10A Annual Per Capita Poverty Thresholds, Magnitude and Incidence Among 2 - 17
Poor Families, 2006, 2009, 2012 and 2015
Table 2.10B Annual Per Capita Poverty Thresholds, Magnitude and Incidence Among 2 - 18
Poor Population, 2006, 2009, 2012 and 2015
Table 2.10C Annual Per Capita Food Thresholds, Magnitude and Subsistence Incidence 2 - 19
Among Poor Families, 2006, 2009, 2012 and 2015
Table 2.10D Annual Per Capita Food Thresholds, Magnitude and Subsistence Incidence 2 - 21
Among Poor Population, 2006, 2009, 2012 and 2015
Table 2.10E Magnitude and Share to Total Poor Families and Population 2009, 2012 and 2015 2 - 21
Table 2.10F Income Gap, Poverty Gap and Severity of Poverty by Province: 2009, 2012 and 2015 2 - 21
Table 2.11 Municipal Level Small Area Estimates of Poverty, 2006, 2009 and 2012 2 - 22
Table 2.12 Official Poverty Statistics for Women, by Region, 2003, 2006, 2009, 2012 and 2015 2 - 24
Table 2.13 Official Poverty Statistics for Youth, by Region, 2003, 2006, 2009, 2012 and 2015 2 - 24
Table 2.14 Official Poverty Statistics for Senior Citizens, by Region, 2012 and 2015 2 - 27
2-2
Table 2.15 Official Poverty Statistics for Children, by Region, 2012 and 2015 2 - 27
Table 2.16 Official Poverty Statistics for Urban Population, by Region 2 - 28

2003, 2006, 2009, 2012 and 2015
Table 2.17 Official Poverty Statistics for Migrant and Formal Sector Workers, by Region, 2 - 28
2003, 2006 and 2009
Table 2.18 Official Poverty Statistics for Farmers, by Region, 2012 and 2015 2 - 31
Table 2.19 Official Poverty Statistics for Fishermen, by Region, 2012 and 2015 2 - 31
Table 2.20 Official Poverty Statistics for Employed Population, by Region, 2012 and 2015 2 - 35
Table 2.21 Official Poverty Statistics for Unemployed Population, by Region, 2012 and 2015 2 - 35
Table 2.22 Consumer Price Index, Inflation Rate and Purchasing Power of Peso for All Income 2 - 36
Households by Province: (2006=100), 2012 - 2017
Figure 2.1 Poverty Incidence Among Poor Families by Province, CAR: 2012 and 2015 2 - 17
Figure 2.2 Poverty Incidence Among Poor Population by Province, CAR: 2012 and 2015 2 - 18
2-3
Table 2.1
TOTAL NUMBER OF FAMILIES, AVERAGE ANNUAL INCOME,
EXPENDITURE AND SAVINGS,
2012 and 2015
2012 ( In thousand pesos)
Region Total Number Income Expenditures Savings
of Families
Philippines 21,426 235 193 42
NCR National Capital Region 2,917 379 325 54

CAR Cordillera Administrative Region 375 257 188 69
IIlocos Region 1,105 204 159 45
IICagayan Valley 771 195 140 55
IIICentral Luzon 2,386 259 211 48
IVA CALABARZON 3,082 284 243 41
IVB MIMAROPA 638 179 138 41
V Bicol Region 1,165 162 144 19
VI Western Visayas 1,604 202 163 39
VII Central Visayas 1,577 209 164 45
VIII Eastern Visayas 902 166 132 34
IX Zamboanga Peninsula 772 162 122 40
X Northern Mindanao 976 190 143 47
XI Davao Region 1,078 194 156 39
XII SOCCSKSARGEN 988 163 140 23
Caraga 532 180 142 38
Autonomous Region in Muslim Mindanao 557 130 114 16
Note: Details may not add up due to roundings.

Table 2.1
2012 and 2015
of Families
Philippines 21,426 180 148 32

V Bicol Region 1,165 123 108 14
X Northern Mindanao 976 137 103 34
XII SOCCSKSARGEN 988 119 103 17
Caraga 532 126 99 27
Note: Details may not add up to totals due to rounding.

2-4
Table 2.1 Continued
2012 and 2015
of Families
Philippines 22,730 267 215 52

V Bicol Region 1,262 187 160 27
X Northern Mindanao 1,029 221 161 60
XII SOCCSKSARGEN 1,055 188 162 26
Caraga 579 198 159 39
Note: Details may not add up due to roundings.

Table 2.1 Continued

2012 and 2015
of Families
Philippines 22,730 189 152 37

I Ilocos Region 1,170 177 135 42
II Cagayan Valley 816 165 112 52
III Central Luzon 2,507 211 168 42
V Bicol Region 1,262 129 110 19
X Northern Mindanao 1,029 145 105 39
XII SOCCSKSARGEN 1,055 125 108 17
Caraga 579 124 100 24

2-5
Table 2.2
TOTAL AND AVERAGE ANNUAL INCOME, EXPENDITURE AND SAVINGS
BY INCOME CLASS
2015
Income Class Income Expenditure Savings

Total Average Total Average Total Average
(in Millions) (in Thousands) (in Millions) (in Thousands) (in Millions) (in Thousands)
Philippines 6,068,162 267 4,882,860 215 1,185,302 52
Under P40,000 11,086 31 12,376 35 (1,290) (4)

40,000 - 59,999 46,104 51 47,947 53 (1,843) (2)
60,000 - 99,999 266,410 82 262,096 80 4,314 2
100,000 - 249,999 1,671,854 162 1,500,018 145 171,836 17
250,000 and over 4,072,703 516 3,060,424 388 1,012,279 128

96,351 257 70,633 188 25,718 69
Region
Under P40,000 234 31 245 32 (11) (1)

40,000 - 59,999 1,093 50 1,153 53 (60) (3)
60,000 - 99,999 5,311 81 5,166 79 145 2
100,000 - 249,999 25,341 161 21,659 138 3,682 23
250,000 and over 64,373 526 42,411 346 21,962 180

Table 2.2 Continued

TOTAL AND AVERAGE ANNUAL INCOME, EXPENDITURE AND SAVINGS
BY INCOME CLASS
2012
Income Class Income Expenditure Savings

Total Average Total Average Total Average
(in Millions) (in Thousands) (in Millions) (in Thousands) (in Millions) (in Thousands)
Philippines 5,026,798 235 4,125,312 193 901,486 42
Under P40,000 20,303 30 22,540 33 (2,237) (3)

40,000 - 59,999 71,530 51 75,188 54 (3,658) (3)
60,000 - 99,999 325,936 80 320,853 79 5,083 1
100,000 - 249,999 1,443,751 159 1,307,091 144 136,660 15
250,000 and over 3,165,277 508 2,399,641 385 765,636 123

96,351 257 70,633 188 25,718 69
Region
Under P40,000 234 31 245 32 (11) (1)

40,000 - 59,999 1,093 50 1,153 53 (60) (3)
60,000 - 99,999 5,311 81 5,166 79 145 2
100,000 - 249,999 25,341 161 21,659 138 3,682 23
250,000 and over 64,373 526 42,411 346 21,962 180

2-6
Table 2.3
TOTAL AND AVERAGE ANNUAL FAMILY INCOME, EXPENDITURE
AND SAVINGS BY EXPENDITURE CLASS:
2015
Income Expenditure Savings

Expenditure Total Average Total Average Total Average
Class (in Millions) (in Thousands) (in Millions) (in Thousands) (in Millions) (in Thousands)
Philippines 6,068,162 267 4,882,860 215 1,185,302 52
Under P40,000 18,200 39 14,251 31 3,949 8

40,000 - 59,999 72,873 63 58,687 51 14,186 12
60,000 - 99,999 403,527 98 335,527 82 68,000 16
10,000 - 249,999 2,106,545 193 1,750,582 161 355,963 32
250,000 and over 3,467,017 568 2,723,814 446 743,203 122
Cordillera Administrative 113,531 282 84,004 209 29,527 73

Region
Under P40,000 367 45 260 32 107 13

40,000 - 59,999 1,167 75 785 50 382 25
60,000 - 99,999 6,739 108 5,155 83 1,584 25
10,000 - 249,999 43,996 209 34,187 162 9,809 47
250,000 and over 61,261 582 43,616 415 17,645 167
Table 2.3 Continued

TOTAL AND AVERAGE ANNUAL FAMILY INCOME, EXPENDITURE
AND SAVINGS BY EXPENDITURE CLASS:
2012
Income Expenditure Savings

Expenditure Total Average Total Average Total Average
Class (in Millions) (in Thousands) (in Millions) (in Thousands) (in Millions) (in Thousands)
Philippines 5,026,798 235 4,125,312 193 901,486 42
Under P40,000 26,928 35 23,189 31 3,739 4

40,000 - 59,999 97,143 60 82,447 51 14,696 9
60,000 - 99,999 436,516 92 378,396 80 58,120 12
10,000 - 249,999 1,797,880 188 1,511,848 158 286,032 30
250,000 and over 2,668,331 557 2,129,432 444 538,899 113
Cordillera Administrative 96,351 257 70,633 188 25,718 69

Region
Under P40,000 480 41 361 31 119 10

40,000 - 59,999 1,626 64 1,297 51 329 13
60,000 - 99,999 8,619 101 6,939 81 1,680 20
10,000 - 249,999 34,852 207 26,878 160 7,974 47
250,000 and over 50,774 606 35,159 420 15,615 186
2-7
Table 2.4
AVERAGE ANNUAL FAMILY INCOME AND EXPENDITURE BY FAMILY SIZE,
BY INCOME CLASS:
Philippines and CAR
2012
(Estimates are in Thousands)
Income Class
Family Size / Average Family
All Income Under 40,000 - 60,000 - 100,000 - 250,000 -
Income and Expenditure
Classes 40,000 59,999 99,999 249,999 and over
Philippines
Average Income 235 30 51 80 159 508
Average Expenditure 193 33 54 79 144 385
5 persons or less
Average Income 215 30 51 80 158 501
6 persons or more
Average Income 272 36 52 82 161 519

Average Income 257 31 50 81 161 526
5 persons or less
Average Income 244 31 50 81 160 527
6 persons or more
Average Income 282 31 52 80 162 523

2-8
Table 2.4
AVERAGE ANNUAL FAMILY INCOME AND EXPENDITURE BY FAMILY SIZE,
BY INCOME CLASS:
Philippines and CAR
2015
(Estimates are in Thousands)
Income Class
Family Size / Average Family
All Income Under 40,000 - 60,000 - 100,000 - 250,000 -
Income and Expenditure
Classes 40,000 59,999 99,999 249,999 and over
Philippines
Average Income 267 31 51 82 162 516
5 persons or less
Average Income 245 31 51 81 161 510
6 persons or more
Average Income 313 35 53 83 165 526

Average Income 282 31 51 82 163 504
5 persons or less
Average Income 263 31 51 82 162 489
6 persons or more
Average Income 319 - 53 82 166 526
Average Expenditure 240 - 75 101 154 358

2-9
Table 2.5
MEAN AND MEDIAN FAMILY INCOME AND EXPENDITURE
BY INCOME DECILE
2012 and 2015
(In Pesos)
2012 2015
Per Capita Income
Income Expenditure Income Expenditure
Decile
Mean Median Mean Median Mean Median Mean Median
Philippines 235 153 193 136 267 180 215 156
First Decile 69 66 73 70 86 83 89 84
Second Decile 92 89 91 86 114 111 110 104
Third Decile 108 104 102 98 133 127 122 115
Fourth Decile 130 124 121 113 156 149 140 130
Fifth Decile 153 144 139 130 182 171 161 151
Sixth Decile 182 172 161 150 218 204 189 175
Seventh Decile 229 216 196 182 259 245 217 203
Eighth Decile 286 270 237 218 320 305 260 243
Ninth Decile 381 358 302 280 415 389 326 299
Tenth Decile 715 583 503 411 786 652 534 449
CAR 257 165 188 137 282 196 209 163
First Decile 72 69 79 76 96 93 105 100

Second Decile 100 96 96 92 131 125 126 116
Third Decile 119 116 106 99 146 145 130 127
Fourth Decile 153 150 129 120 177 170 153 145
Fifth Decile 167 157 145 138 189 175 154 139
Sixth Decile 191 176 152 137 236 213 182 174
Seventh Decile 251 251 194 184 287 269 221 201
Eighth Decile 344 330 263 241 351 331 257 236
Ninth Decile 417 381 296 264 487 480 339 291
Tenth Decile 756 552 424 353 724 595 423 400
2 - 10
Table 2.6
DISTRIBUTION OF TOTAL ANNUAL FAMILY INCOME BY INCOME DECILE
AND GINI RATIO IN CAR
1997 and 2000
1997 2000
Income Decile Percentage Cumulative Percentage Cumulative
Share Percentage Share Share Percentage Share
CAR
First Decile 1.8 1.8 1.7 1.7

Second Decile 2.9 4.7 2.9 4.6
Third Decile 3.8 8.5 3.9 8.5
Fourth Decile 4.7 13.2 4.9 13.4
Fifth Decile 5.8 19.0 6.2 19.6
Sixth Decile 7.1 26.1 7.7 27.3
Seventh Decile 8.9 35.0 9.7 37.0
Eighth Decile 11.7 46.7 12.3 49.3
Ninth Decile 16.3 63.0 17.3 66.6
Tenth Decile 37.0 100.0 33.5 100.0
Urban
First Decile 2.0 2.0 2.3 2.3

Third Decile 4.3 9.6 5.1 11.3
Fourth Decile 5.2 14.8 6.2 17.5
Fifth Decile 6.5 21.3 7.3 24.8
Sixth Decile 7.8 29.1 8.5 33.3
Eighth Decile 11.6 49.9 12.2 55.4
Ninth Decile 15.1 65.0 15.1 70.5
Tenth Decile 35.0 100.0 29.4 100.0
Rural
First Decile 2.4 2.4 2.2 2.2

Third Decile 4.7 10.8 4.4 10.1
Fourth Decile 5.7 16.5 5.6 15.7
Fifth Decile 6.8 23.3 6.6 22.3
Sixth Decile 7.9 31.2 7.9 30.2
Eighth Decile 12.0 53.0 11.8 51.7
Ninth Decile 15.7 68.7 15.6 67.3
Tenth Decile 31.4 100.0 32.7 100.0
GINI Ratio 0.4640 … 0.4439 …

2 - 11
Table 2.7
DISTRIBUTION OF FAMILIES BY INCOME CLASS, BY MAIN SOURCE OF INCOME
Philippines and CAR
2015
All Income Income Class
Main Source of Income Classes Under 40,000 - 60,000 - 100,000 - 250,000
40,000 59,999 99,999 249,999 and over
Philippines 22,730 355 901 3,268 10,318 7,888
Number of Families ( in Thousands)
Percent 100.0 100.0 100.0 100.0 100.0 100.0

Salaries/Wages 51.9 16.5 29.1 40.6 53.7 58.5
Entrepreneurial Activities 21.9 16.8 26.1 28.9 24.4 15.6
Other Sources of Income 26.1 66.7 44.8 30.5 21.9 25.9
Cordillera Administrative Region 402 4 11 50 180 158
Percent 100.0 100.0 100.0 100.0 100.0 100.0

Salaries/Wages 44.1 19.2 11.1 31.2 42.3 53.1

Table 2.7
TOTAL NUMBER OF FAMILIES BY MAIN SOURCE OF INCOME AND INCOME CLASS
Philippines and CAR
2012
All Income Income Class

Main Source of Income Classes Under 40,000 - 60,000 - 100,000 - 250,000
40,000 59,999 99,999 249,999 and over
Philippines 21,426 676 1,400 4,057 9,065 6,228
Percent 100.0 100.0 100.0 100.0 100.0 100.0

Salaries/Wages 46.7 21.8 31.1 37.3 46.1 48.5
Cordillera Administrative Region 375 8 22 66 157 122
Percent 100.0 100.0 100.0 100.0 100.0 100.0

Salaries/Wages 38.7 18.3 24.2 29.6 36.1 40.8

2 - 12
Table 2.8
DISTRIBUTION OF TOTAL FAMILY EXPENDITURE BY EXPENDITURE GROUP,
INCOME CLASS, Philippines and CAR : 2015
2015
Major All Income Class
Expenditure Group Income Under 40,000- 60,000- 100,000- 250,000-
Class 40,000 59,999 99,000 249,999 and over
Philippines 4,882,860 12,376 47,947 262,096 1,500,018 3,060,424

Total family expenditure (in millions)
Percent to total expenditure 100.0 100.0 100.0 100.0 100.0 100.0
Food expenditures 41.9 60.8 59.9 58.8 51.6 35.3
Food consumed at home 33.7 55.2 54.8 53.2 43.8 26.7
Bread and cereals 11.7 24.5 25.2 23.8 16.9 7.8
Meat 5.4 3.9 4.1 4.7 5.9 5.2
Fish and sea foods 5.0 9.5 8.6 8.4 6.7 3.8
Milk, cheese and eggs 2.8 2.3 2.6 2.8 3.0 2.7
Oils and fats 0.6 1.0 1.0 1.0 0.8 0.5
Fruits 1.2 2.1 1.9 1.7 1.4 1.1
Vegetables 2.3 5.6 5.0 4.3 3.2 1.7
Sugar, jam, honey, chocolate and confectionary 0.9 1.6 1.5 1..5 1.1 0.6
Food not elsewhere satisfied 1.0 1.7 1.7 1.7 1.3 0.8
Coffee, cocoa and tea 1.5 2.5 2.3 2.2 2.0 1.2
Mineral water, softdrinks, fruits and veg juices 1.3 0.9 1.0 1.1 1.4 1.2
Food regularly consumed outside the home 8.2 5.5 5.1 5.6 7.8 8.6
Alcoholic beverages 0.5 0.9 0.9 0.8 0.7 0.4
Tobacco 1.1 2.0 1.9 2.0 1.7 0.8
Other vegetables-based products 0.0 0.1 0.1 0.0 0.0 0.0
Clothing and footwear 2.4 1.8 2.0 2.2 2.2 2.6
Furnishings, hh equipment and routine hh maintenance 2.5 2.2 2.2 2.1 1.9 2.8
Health 3.7 1.9 2.2 2.3 2.8 4.3
House Rent/Rental Value 12.2 11.3 10.7 9.6 10.7 13.2
Water Electricity Gas and Other Fuels 7..9 9.1 8.3 7.6 7.9 7.9
Transport 6.2 3.1 3.2 3.9 5.3 6.9
Communication 2.2 0.3 0.6 0.8 1.4 2.8
Recreation and culture 0.8 0.2 0.5 0.5 0.6 0.9
Education 3.8 0.3 0.7 1.4 2.5 4.6
Accommodation services 0.2 0.0 0.1 0.1 0.2 0.3
Miscellaneous goods and services 6.3 3.9 4.4 4.7 5.4 7.0
Durable furniture and equipment 2.5 0.3 0.5 0.8 1.5 3.2
Special family occasion 2.5 0.8 1.1 1.6 2.1 2.9
Other expenditure 3.1 0.7 0.7 0.9 1.3 4.2
Cordillera Administrative Region 84,004 119 541 4,212 25,577 53,556

Total family expenditure (in millions)
Percent to total expenditure 100.0 100.0 100.0 100.0 100.0 100.0

Food expenditures 39.4 58.5 54.5 57.4 49.5 33.0
Food consumed at home 35.1 58.4 53.7 55.2 45.6 28.2
Bread and cereals 12.8 26.3 26.1 26.1 18.8 8.7
Meat 6.0 7.1 6.1 6.8 7.0 5.5
Fish and sea foods 4.1 6.7 5.1 6.0 5.1 3.5
Milk, cheese and eggs 2.6 1.5 1.9 2.2 2.8 2.6
Oils and fats 0.8 1.7 1.3 1.2 1.0 0.7
Fruits 1.4 2.5 2.1 1.8 1.7 1.3
2 - 13
Table 2.8 Continued
DISTRIBUTION OF TOTAL FAMILY EXPENDITURES BY EXPENDITURE GROUP,
INCOME CLASS BY PROVINCE/CITY
2015
Major All Income Class
Expenditure Group Income Under 40,000- 60,000- 100,000- 250,000-
Class 40,000 59,999 99,000 249,999 and over
Vegetables 3.1 6.5 6.0 5.3 4.2 2.4

Sugar, jam, honey, chocolate and confectionary 1.0 2.0 1.6 1.7 1.1 0.8
Food not elsewhere satisfied 1.0 1.5 1.4 1.6 1.3 0.8
Coffee, cocoa and tea 1.2 2.0 1.6 1.5 1.4 1.0
Mineral water, softdrinks, fruits and veg juices 1.0 0.5 0.5 0.9 1.1 1.0
Food regularly consumed outside the home 4.4 0.1 0.8 2.2 3.9 4.8
Alcoholic beverages 0.5 0.9 0.9 0.8 0.6 0.4
Tobacco 0.8 1.6 0.8 1.1 1.0 0.6
Other vegetables-based products 0.3 1.1 2.1 0.7 0.5 0.1
Clothing and footwear 2.9 2.4 2.6 2.8 2.8 2.9
Furnishings, hh equipment and routine hh maintenance 1.6 1.5 1.6 1.7 1.5 1.7
Health 4.6 1.0 1.7 2.2 3.1 5.6
House Rent/Rental Value 14.8 8.6 10.6 9.7 11.9 16.6
Water Electricity Gas and Other Fuels 7.7 11.6 12.7 9.1 8.3 7.2
Transport 5.4 5.1 2.8 4.0 4.5 6.0
Communication 2.0 0.3 0.8 0.8 1.3 2.5
Recreation and culture 0.7 0.2 0.3 0.7 0.6 0.8
Education 5.3 0.0 1.4 1.7 4.0 6.2
Accommodation services 0.5 0.0 0.2 0.1 0.6 0.6
Miscellaneous goods and services 5.9 3.5 4.1 4.4 4.9 6.6
Durable furniture and equipment 1.9 0.4 0.2 0.4 1.3 2.3
Special family occasion 2.9 1.2 1.9 1.3 2.3 3.3
Other expenditure 2.8 2.3 0.8 1.1 1.3 3.7

2 - 14
Table 2.9
TOTAL NUMBER OF FAMILIES, TOTAL AND AVERAGE PER CAPITA ANNUAL INCOME
AND EXPENDITURE BY PER CAPITA INCOME CLASS AND PROVINCE/CITY
2000
Province/ Income Expenditure Province/
Per Capita Total No. Total Average Total Average
Income Class of Families (P'000) per Capita (P'000) per Capita
(Pesos) (Pesos)
Philippines 15,269,655 2,199,431,875 32,141 1,801,846,426 26,075
CAR 275,075 38,404,070 30,859 30,351,281 24,427
Under P 3,000 391 8,190 2,691 12,534 4,058

3,000 - 3,999 2,044 62,657 3,581 78,198 4,466
4,000 - 5,999 11,305 413,612 5,201 497,767 6,262
6,000 - 7,499 15,176 668,936 6,781 753,962 7,753
7,500 - 9,999 23,150 1,259,969 8,825 1,227,065 8,861
10,000 - 14,999 47,663 3,253,311 12,323 3,060,926 11,794
15,000 - 19,999 35,915 3,119,638 17,428 2,756,889 15,488
20,000 - 29,999 45,366 5,510,076 24,378 4,684,523 20,953
30,000 - 49,999 47,947 8,591,783 38,099 7,108,278 31,794
50,000 and over 46,119 15,515,898 86,042 10,171,138 59,013
Abra 39,452 4,386,480 27,499 3,518,429 21,481
Under P 3,000 219 4,678 2,513 8,085 4,343

3,000 - 3,999 232 5,313 3,272 6,483 3,991
4,000 - 5,999 2,820 102,958 5,167 134,844 6,853
6,000 - 7,499 3,615 174,475 6,741 200,498 7,896
7,500 - 9,999 5,401 252,824 8,794 290,610 10,351
10,000 - 14,999 8,396 508,666 12,174 504,397 12,407
15,000 - 19,999 3,796 314,463 17,513 259,739 15,150
20,000 - 29,999 4,522 401,734 23,485 324,298 19,452
30,000 - 49,999 5,117 878,338 37,796 729,427 31,326
50,000 and over 5,335 1,743,032 99,131 1,060,048 62,209
Baguio City 60,364 14,107,114 51,388 10,954,862 40,269
Under P 3,000 - - - - -
3,000 - 3,999 - - - - -
4,000 - 5,999 51 2,194 4,528 2,063 4,257
6,000 - 7,499 - - - - -
7,500 - 9,999 346 10,624 9,241 11,995 10,295
10,000 - 14,999 2,110 195,685 13,791 209,073 14,737
15,000 - 19,999 4,051 462,858 17,835 508,787 19,496
20,000 - 29,999 13,075 1,797,544 24,926 1,692,776 23,836
30,000 - 49,999 18,289 3,705,004 38,530 3,333,657 35,459
50,000 and over 22,443 7,933,205 87,626 5,196,511 60,454
Benguet 66,831 9,350,886 31,683 7,842,873 26,388
Under P 3,000 - - - - -
3,000 - 3,999 - - - - -
4,000 - 5,999 1,071 49,172 5,704 64,597 7,510
6,000 - 7,499 1,275 60,276 6,827 66,592 7,573
7,500 - 9,999 3,590 225,413 8,918 216,829 8,503
10,000 - 14,999 10,818 910,946 12,338 898,358 12,401
15,000 - 19,999 12,329 1,129,188 17,192 987,429 14,945
20,000 - 29,999 13,308 1,601,098 24,132 1,397,188 21,203
30,000 - 49,999 14,233 2,254,076 37,848 1,777,329 30,398
50,000 and over 10,209 3,120,717 84,760 2,434,551 66,809
2 - 15
Table 2.9 Continued
Province/ Income Expenditure

Per Capita Total No. Total Average Total Average
Income Class of Families (P'000) per Capita (P'000) per Capita
(Pesos) (Pesos)
Ifugao 32,578 2,777,126 16,768 2,159,413 13,462
Under P 3,000 - - - - -
3,000 - 3,999 887 25,937 3,654 32,326 4,559
4,000 - 5,999 2,864 101,754 5,372 105,912 5,617
6,000 - 7,499 5,159 204,876 6,852 222,247 7,476
7,500 - 9,999 4,791 291,597 8,816 259,959 8,113
10,000 - 14,999 8,379 448,088 12,122 378,179 10,899
15,000 - 19,999 4,283 330,771 17,779 271,527 15,580
20,000 - 29,999 2,580 310,774 23,794 223,226 17,678
30,000 - 49,999 2,313 465,973 39,199 357,768 29,639
50,000 and over 1323 597358 90923 308270 51993
Kalinga-Apayao 48,018 5,044,656 42,042 3,807,997 31,390
Under P 3,000 172 3,512 2,916 4,449 3,696

3,000 - 3,999 443 13,745 7,311 16,945 10,111
4,000 - 5,999 2,915 99,596 10,574 116,015 12,570
6,000 - 7,499 2,608 126,297 13,484 138,718 14,828
7,500 - 9,999 6,376 364,765 17,509 324,150 16,501
10,000 - 14,999 11,823 830,134 24,680 750,818 22,346
15,000 - 19,999 6,424 538,612 34,608 478,848 30,352
20,000 - 29,999 8,842 1,157,199 48,532 848,421 36,133
30,000 - 49,999 4,760 761,737 77,696 526,051 53,086
50,000 and over 3,657 1,149,060 144,678 603,580 78,940
Mountain Province 27,832 2,737,808 22,441 2,067,707 17,097
Under P 3,000 - - - - -
3,000 - 3,999 482 17,662 3,596 22,444 4,572
4,000 - 5,999 1,584 57,938 4,925 74,337 6,383
6,000 - 7,499 2,520 103,012 6,711 125,907 8,648
7,500 - 9,999 2,647 114,747 8,846 123,522 9,554
10,000 - 14,999 6,137 359,793 12,253 320,101 11,376
15,000 - 19,999 5,033 343,745 17,476 250,557 14,062
20,000 - 29,999 3,040 241,727 25,106 198,613 20,566
30,000 - 49,999 3,237 526,656 36,208 384,047 26,382
50,000 and over 3,153 972,527 69,151 568,179 40,575
2 - 16
Table 2.10A
ANNUAL PER CAPITA POVERTY THRESHOLDS, MAGNITUDE AND INCIDENCE AMONG
POOR FAMILIES
2006, 2009, 2012 and 2015
(Poverty Threshold In Pesos, Incidence In Percent)
2006 2009
Annual Per Annual Per
Region / Poverty Poverty
Province Capita Magnitude of Capita Magnitude of
Incidence of Incidence of
Poverty Poor Families Poverty Poor Families
Poor Families Poor Families
Threshold Threshold
PHILIPPINES 13,357 3,809,283 21.0 16,871 4,036,915 20.5
CAR 14,107 66,607 21.1 17,243 66,111 19.2

Abra 14,680 18,054 39 17,852 18,852 38.9
Apayao 13,915.0 8,944.0 42 16,923 9,132 39.9
Benguet 13,341 5,773 4 16,217 6,937 4.2
Ifugao 14,233 7,575 21 17,321 9,263 23.9
Kalinga 13,079 14,340 41 15,939 9,124 24.1
Mt. Province 14,910 11,920 39 18,118 12,803 39.3

Region /
Province 2012 2015
Poverty Poverty
Capita Magnitude of Capita Magnitude of
Incidence of Incidence of
Poverty Poor Families Poverty Poor Families
Poor Families Poor Families
Threshold Threshold
PHILIPPINES 18,935 4,214,921 19.7 21,753 3,746,513 16.5
CAR 19,483 65,516 17.5 21,770 59,759 14.9

Abra 19,775 13,914 27.2 21,240 12,400 19.9
Apayao 18,623 13,462 54.7 20,947 6,945 30.9
Benguet 19,140 5,121 2.8 21,561 4,783 2.5
Ifugao 20,253 14,950 36.0 22,673 11,133 26.1
Kalinga 17,342 8,482 20.9 20,468 12,884 30.0
Mt. Province 21,138 9,586 27.9 23,620 11,615 29.5
Fig. 2.1. Poverty Incidence Among Poor Families by Province,

CAR: 2012 and 2015 (In Percent)
Mt. Province 27.9

29.5
Kalinga 20.9
30.0
Ifugao 36.0
26.1
Benguet 2.8
2.5
Apayao 54.7
30.9
Abra 27.2
19.9
.0 10.0 20.0 30.0 40.0 50.0 60.0
2012 2015
2 - 17
Table 2.10B
ANNUAL PER CAPITA POVERTY THRESHOLDS, MAGNITUDE AND INCIDENCE AMONG
POOR POPULATION
2006, 2009, 2012 and 2015
(Poverty Threshold in Pesos, Incidence in Percent)
Region /
Province 2006 2009
Annual Per Poverty Annual Per Poverty
Magnitude of Magnitude of
Capita Incidence of Capita Incidence
Poor Poor
Poverty Poor Poverty of Poor
Population Population
Threshold Population Threshold Population
PHILIPPINES 13,357 22,643,980 26.6 16,871 23,300,444 26.3
CAR 14,107 392,117 26.0 17,243 390,066 25.1

Abra 14,680 105,370 49 17,852 107,945 48.8
Apayao 13,915.0 50,259 47 16,923 51,298 45.7
Benguetb/ 13,341 40,123 6 16,217 43,778 6.1
b/
Ifugao 14,233 47,642 28 17,321 56,194 32.1
b/
Kalinga 13,079 85,794 47 15,939 56,660 30.1
Mt. Province 14,910 62,931 44 18,118 74,191 52.2
Note: b/ - Coefficient of variation of 2015 is greater than 20%.
Region /
Province 2012 2015
Annual Per Poverty Annual Per Poverty
Magnitude of Magnitude of
Capita Incidence of Capita Incidence
Poor Poor
Poverty Poor Poverty of Poor
Population Population
Threshold Population Threshold Population
PHILIPPINES 18,935 23,745,895 25.2 21,753 21,927,009 21.6
CAR 19,483 373,740 22.8 21,770 351,590 19.7

Abra 19,775 84,347 37.4 21,240 76,930 28.9
Apayao 18,623 68,970 61.4 20,947 36,004 34.9
b/
Benguet 19,140 27,789 3.7 21,561 28,418 3.5
b/
Ifugao 20,253 79,680 42.4 22,673 68,321 32.5
Kalingab/ 17,342 53,768 26.8 20,468 78,585 34.9
Mt. Province 21,138 59,186 37.6 23,620 63,332 39.0
Fig. 2.2. Poverty Incidence Among Poor Population by

Province, CAR: 2012 and 2015 (In Percent)
Mt. 37.6
Province 39.0
Kalingab/ 26.8
34.9
Ifugaob/ 42.4
32.5
Benguetb/ 3.7
3.5
Apayao 61.4
34.9
Abra 37.4
28.9
0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0
2012 2015
2 - 18
Table 2.10C
ANNUAL PER CAPITA FOOD THRESHOLDS, MAGNITUDE AND SUBSISTENCE
INCIDENCE AMONG POOR FAMILIES
2006, 2009, 2012 and 2015
(Food Threshold in Pesos, Subsistence in Percent)
2006 2009
Subsistence Subsistence
Region / Annual Per Magnitude of Annual Per Magnitude of
Incidence Incidence
Province Capita Food Subsistence Capita Food Subsistence
among among
Threshold Poor Families Threshold Poor Families
Families Families
PHILIPPINES 9,308 1,596,850 8.8 11,780 1,553,082 7.9
CAR 9,838 32,124 10.2 12,033 30,972 9.0

Abrab/ 10244.0 8835.0 19.3 12,458 10,682 22.1
Apayaob/ 9717.0 4875.0 23.0 11,817 5,257 23.0
b/
Benguet 9245.0 1290.0 0.9 11,306 1,956 1.2
b/
Ifugao 9939.0 2454.0 6.8 12,088 2,572 6.6
Kalingab/ 9137.0 7892.0 22.3 11,097 4,645 12.3
Mt. Province 10404.0 6779.0 21.9 12,651 5,860 18.0
Table 2.10D
ANNUAL PER CAPITA FOOD THRESHOLDS, MAGNITUDE AND SUBSISTENCE
INCIDENCE AMONG POOR POPULATION
1991, 2006, 2009 and 2012
(Food Threshold in Pesos, Subsistence in Percent)
Region /
Province 2006 2009
Magnitude of Subsistence Magnitude of Subsistence
Subsistence Incidence Subsistence Incidence
Capita Food Capita Food
Poor among Poor among
Threshold Threshold
Population Population Population Population
PHILIPPINES 9,308 10,233,304 12.0 11,780 9,703,209 10.9
CAR 9,838 205,548 13.6 12,033 199,163 12.8

b/
Abra 10244.0 55266.0 25.8 12,458 66,180 29.9
Apayaob/ 9717.0 29697.0 27.6 11,817 32,925 29.3
Benguetb/ 9245.0 9637.0 1.4 11,306 13,696 1.9
b/
Ifugao 9939.0 17820.0 10.5 12,088 18,649 10.7
Kalingab/ 9137.0 53305.0 29.4 11,097 31,512 16.8
Mt. Province 10404.0 39822.0 27.9 12,651 36,201 25.5
grey
2 - 19
2012 2015
Subsistence Subsistence
Annual Per Magnitude of Annual Per Magnitude of
Incidence Incidence
Capita Food Subsistence Capita Food Subsistence
among among
Threshold Poor Families Threshold Poor Families
Families Families
13,232 1,610,865 7.5 15,189 1,303,549 5.73483
13,539 26,496 7.1 15,274 19,200 4.8

13,809 4,428 8.7 14,832 1,610 7.2
13,005 6,872 27.9 14,627 3,043 4.9
13,246 839 0.5 15,378 656 0.3
14,143 7,327 17.7 15,832 5,445 12.8
12,087 3,574 8.8 14,297 4,833 11.2
14,761 3,456 10.1 16,434 3,613 9.2
Table 2.10D Continued
2012 2015
Magnitude of Subsistence Magnitude of Subsistence
Subsistence Incidence Subsistence Incidence
Capita Food Capita Food
Poor among Poor among
Threshold Threshold
Population Population Population Population
13,232 9,811,086 10.4 15,189 8,225,722 8.1
13,539 163,097 10.0 15,274 124,763 7.0

13,809 30,475 13.5 14,832 22,360 8.4
13,005 37,989 33.8 14,627 8,621 8.4
13,246 4,812 0.6 15,378 3,437 0.4
14,143 41,953 22.3 15,832 35,386 16.8
12,087 26,315 13.1 14,297 32,028 14.2
14,761 21,553 13.7 16,434 22,932 14.1
2 - 20
Table 2.10E
MAGNITUDE AND SHARE TO TOTAL POOR FAMILIES AND POPULATION
2009, 2012 and 2015
(Share In Percent)
Region/
Province Families
Magnitude of Poor % Share to Total Poor
2009 2012 2015 2009 2012 2015
PHILIPPINES 4,036,915 4,214,921 3,746,513 100.0 100.0 100.0
CAR 66,111 65,516 59,759 1.6 1.6 1.6

Abra 18,852 13,914 12,400 0.5 0.3 0.3
Apayao 9,132 13,462 6,945 0.2 0.3 0.2
Benguet 6,937 5,121 4,783 0.2 0.1 0.1
Ifugao 9,263 14,950 11,133 0.2 0.4 0.3
Kalinga 9,124 8,482 12,884 0.2 0.2 0.3
Mt. Province 12,803 9,586 11,615 0.3 0.2 0.3
Table 2.10E Continued

Region/
Province Population
Magnitude of Poor % Share to Total Poor
2009 2012 2015 2009 2012 2015
PHILIPPINES 23,300,444 23,745,895 21,927,009 100.0 100.0 100.0
CAR 390,066 373,740 351,590 1.7 1.6 1.6

Abra 107,945 84,347 76,930 0.5 0.4 0.4
Apayao 51,298 68,970 36,004 0.2 0.3 0.2
Benguet 43,778 27,789 28,418 0.2 0.1 0.1
Ifugao 56,194 79,680 68,321 0.2 0.3 0.3
Kalinga 56,660 53,768 78,585 0.2 0.2 0.4
Mt. Province 74,191 59,186 63,332 0.3 0.2 0.3
Table 2.10F
INCOME GAP, POVERTY GAP, AND SEVERITY OF POVERTY BY PROVINCE
2009, 2012 and 2015
(In Percent)
Region/
Province 2009 2012 2015
Poverty Income Poverty Income Poverty
Income Gap Severity Severity Severity
Gap Gap Gap Gap Gap
PHILIPPINES 26.2 5.4 2 26.2 5.1 2.0 24.6 4 1.5
CAR 28.6 5.5 2.2 26.9 4.7 1.8 22.8 3.4 1.1
Abra 32.4 12.6 5.4 25.2 6.8 4.0 19.4 3.9 1.0
Apayao 29.8 11.9 4.4 31.3 17.1 3.3 20.3 6.3 1.7
Benguet 22.2 0.9 0.3 14.9 0.4 0.3 13.9 0.3 0.1
Ifugao 24.4 5.8 2.2 29.0 10.5 2.1 27.6 7.2 2.6
Kalinga 27.2 6.5 2.5 28.6 6.0 2.0 25.4 7.6 2.9
Mt. Province 29.4 11.6 4.8 24.8 6.9 4.3 24.2 7.1 2.5
2 - 21
Table 2.11
MUNICIPAL LEVEL SMALL AREA ESTIMATES OF POVERTY
2006, 2009 and 2012
Province Municipality 2006 CV 2009 CV 2012 CV
Abra Bangued 16.6 26.9 16.8 12.7 10.9 26.6

Boliney 76.0 22.9 50.6 18.9 66.0 11.5
Bucay 42.6 22.1 36.2 16.1 37.6 15.3
Bucloc 58.0 26.4 77.2 13.0 42.1 20.7
Daguioman 46.8 32.4 32.2 27.3 37.0 23.5
Danglas 40.2 25.5 32.0 22.8 32.7 20.0
Dolores 23.7 28.7 33.5 15.0 23.6 20.9
La Paz 37.6 25.4 36.0 14.9 28.1 19.2
Lacub 58.8 22.5 67.2 14.2 57.8 13.4
Lagangilang 30.1 27.9 27.5 16.5 28.5 18.0
Lagayan 35.0 34.3 41.4 18.8 42.2 18.8
Langiden 44.1 29.8 46.0 17.6 40.8 19.3
Licuan-Baay (Licuan) 39.7 26.5 46.7 18.0 45.9 14.2
Luba 50.5 26.3 36.2 18.5 44.8 15.5
Malibcong 48.9 20.2 55.6 15.8 51.5 12.8
Manabo 33.3 29.6 34.9 19.8 30.8 18.3
Peñarrubia 29.6 33.7 35.7 19.6 31.0 18.1
Pidigan 22.7 32.9 25.9 18.9 23.1 21.5
Pilar 41.0 23.0 42.8 14.4 38.4 14.9
Sallapadan 25.5 31.3 62.0 13.2 43.2 16.6
San Isidro 50.8 21.3 42.3 15.9 42.3 16.4
San Juan 40.2 23.0 33.7 19.7 22.0 21.6
San Quintin 21.0 41.0 28.7 23.3 22.5 26.5
Tayum 23.4 32.6 23.7 18.7 23.4 21.5
Tineg 62.9 20.4 43.2 19.9 78.3 7.9
Tubo 53.3 23.3 56.4 16.6 51.7 14.3
Villaviciosa 49.7 25.2 49.1 15.7 39.2 17.6
Apayao Calanasan 34.6 29.2 32.9 21.4 62.6 12.0

Conner 35.1 20.0 30.3 15.2 56.3 10.1
Flora 23.0 24.9 26.2 20.1 35.7 17.1
Kabugao 39.2 19.9 40.6 13.0 63.9 9.3
Luna 16.8 22.4 28.8 16.4 33.4 13.6
Pudtol 26.1 19.2 29.8 18.3 41.1 14.5
Santa Marcela 18.2 27.4 23.8 20.7 32.6 17.7
Baguio City 1.2 55.6 2.4 31.3 0.9 40.0
Benguet Atok 7.6 51.4 39.7 24.9 16.6 28.1

Bakun 17.0 38.5 53.7 17.9 26.5 22.6
Bokod 5.1 59.3 21.5 22.4 9.2 33.4
Buguias 6.4 50.0 42.0 19.2 13.1 25.5
Nore: CV = Coefficient of Variation

2 - 22
MUNICIPAL LEVEL SMALL AREA ESTIMATES OF POVERTY
2006, 2009 and 2012
Province Municipality 2006 CV 2009 CV 2012 CV
Benguet Itogon 5.8 52.9 8.9 29.0 4.8 41.6

(Continued) Kabayan 18.0 37.7 58.6 12.5 15.7 23.2
Kapangan 25.9 27.9 37.7 17.5 17.7 20.1
Kibungan 22.3 32.5 67.9 16.7 26.1 27.1
La Trinidad 1.6 56.5 5.4 27.3 1.7 44.2
Mankayan 6.6 46.6 16.5 26.2 6.2 39.2
Sablan 14.1 32.7 19.3 27.7 9.2 34.5
Tuba 6.4 40.7 14.2 22.7 4.6 38.9
Tublay 11.3 39.3 30.4 22.7 11.7 31.8
Ifugao Aguinaldo 42.2 19.3 33.2 18.1 53.6 13.1

Alfonso Lista (Potia) 30.6 19.1 37.1 12.2 21.5 19.1
Asipulo 55.0 22.2 47.5 19.5 55.3 14.8
Banaue 29.3 22.4 20.9 16.3 30.8 14.2
Hingyon 25.4 26.5 25.2 22.7 29.9 19.9
Hungduan 43.9 23.0 29.9 19.3 40.6 16.1
Kiangan 20.6 24.7 22.9 21.9 25.3 17.6
Lagawe 27.4 15.1 19.9 17.4 17.6 16.5
Lamut 20.4 20.0 18.2 18.3 17.2 16.9
Mayoyao 38.5 18.0 34.1 11.9 34.3 13.0
Tinoc 52.0 21.8 49.6 15.0 53.5 13.1
Kalinga Balbalan 35.4 22.3 30.1 19.1 33.9 19.6

Lubuagan 35.6 21.7 24.8 21.2 26.1 22.6
Pasil 44.8 22.0 26.5 16.9 41.2 19.6
Pinukpuk 33.9 20.4 29.9 14.5 31.9 17.9
Rizal (Liwan) 28.0 24.8 25.3 21.2 9.1 31.3
Tabuk 18.1 22.3 17.3 16.3 8.8 21.3
Tanudan 66.6 21.5 30.7 20.0 40.7 17.4
Tinglayan 72.0 24.8 34.1 15.5 26.4 18.0
Mt. Province Barlig 20.2 33.7 27.4 30.4 16.7 23.6

Bauko 13.4 28.4 34.4 22.7 21.1 17.8
Besao 19.2 29.9 26.9 28.7 16.3 22.3
Bontoc 15.1 41.6 16.7 29.4 10.9 25.6
Natonin 59.2 25.4 37.4 24.5 39.7 14.8
Paracelis (Paracales) 43.1 17.5 46.7 21.4 40.6 14.8
Sabangan 11.4 36.3 26.0 31.1 10.9 24.9
Sadanga 55.1 23.2 39.0 27.8 42.7 18.4
Sagada 11.2 29.1 35.4 25.4 10.2 24.5
Tadian 23.9 23.5 36.2 20.0 21.6 17.4
2 - 23
Table 2.12
OFFICIAL POVERTY STATISTICS FOR WOMEN, BY REGION
2003, 2006, 2009, 2012 and 2015
Region
2003 2006
Poverty Coefficient Magnitude Poverty Coefficient Magnitude

Incidence of Variation of Poor Incidence of Variation of Poor
Philippines 24.0 2.5 9,605,037 25.9 2.2 10,691,078

NCR 2.8 13.6 158,701 4.3 17.3 288,325
CAR 21.2 11.9 148,702 27.9 11.2 167,398
Region I 22.0 8.0 464,427 24.9 8.2 576,927
Region II 18.5 10.2 250,395 26.3 7.7 262,852
Region III 12.4 9.1 541,694 12.5 8.7 691,294
Region IVA 12.2 9.6 649,967 10.2 11.6 703,002
Region IVB 34.9 6.8 411,765 41.1 7.0 507,994
Region V 44.3 5.2 1,064,976 43.1 4.9 1,125,517
Region VI 29.7 7.2 896,175 28.4 7.0 882,379
Region VII 35.0 7.5 1,042,827 34.5 7.0 1,133,773
Region VIII 36.7 6.0 671,065 40.2 5.9 741,273
Region IX 45.5 7.4 649,270 45.0 7.4 615,654
Region X 37.1 7.4 669,503 37.3 6.7 732,277
Region XI 30.2 8.9 581,192 29.8 9.5 586,363
Region XII 33.7 7.7 565,997 36.6 6.3 599,905
Caraga 32.3 9.8 416,464 48.5 5.6 610,224
ARMM 41.4 6.9 421,917 45.5 7.1 465,921
Table 2.13
OFFICIAL POVERTY STATISTICS FOR YOUTH, BY REGION
2003, 2006, 2009, 2012 and 2015
Region
2003 2006

Philippines 19.0 2.8 4,280,197 20.8 2.7 4,850,607

NCR 2.2 16.2 77,623 3.6 12.4 126,704
CAR 15.7 13.7 62,814 20.1 14.0 89,096
Region I 16.6 9.7 190,951 22.2 8.5 266,769
Region II 14.0 12.4 102,803 16.0 10.0 122,342
Region III 8.9 10.8 224,245 12.4 10.1 332,465
Region IVA 9.2 11.4 283,830 9.1 13.2 278,124
Region IVB 28.2 9.1 176,842 34.2 9.4 217,880
Region V 35.7 6.0 424,310 39.2 6.2 475,730
Region VI 24.9 8.4 406,046 22.8 8.5 384,695
Region VII 28.5 8.3 467,220 29.5 8.0 495,129
Region VIII 28.8 7.3 255,918 30.0 6.2 299,736
Region IX 39.7 8.9 294,051 34.1 9.5 277,917
Region X 32.1 8.4 308,859 32.3 7.5 347,274
Region XI 24.6 10.2 275,285 23.8 11.2 266,531
Region XII 28.9 8.5 289,191 30.9 7.5 331,502
Caraga 29.3 10.3 245,254 39.1 7.9 321,900
ARMM 36.5 8.0 194,954 38.8 8.7 216,813
2 - 24
Increase / Decrease
2009
2003-2006 2006-2009
Poverty Coefficient Magnitude Poverty Magnitude Poverty Magnitude
Incidence of Variation of Poor Incidence of Poor Incidence of Poor
25.7 2.3 11,169,745 1.9 1,086,041 (0.2) 478,667

3.6 16.3 225,185 1.5 129,625 (0.7) (63,140)
25.6 12.5 171,016 6.7 18,696 (2.3) 3,618
21.7 8.7 540,749 2.9 112,500 (3.3) (36,178)
25.2 9.0 267,431 7.8 12,457 (1.1) 4,579
13.4 8.1 699,107 0.1 149,600 0.9 7,814
11.8 9.8 768,754 (2.0) 53,035 1.6 65,753
35.3 8.1 473,694 6.3 96,229 (5.9) (34,300)
42.7 5.1 1,151,491 (1.2) 60,541 (0.4) 25,974
28.8 7.1 980,517 (1.3) (13,796) 0.4 98,138
29.9 7.6 1,152,659 (0.5) 90,946 (4.5) 18,886
42.0 5.9 808,543 3.4 70,207 1.8 67,270
44.1 7.3 656,668 (0.5) (33,616) (0.9) 41,014
38.9 6.3 774,513 0.1 62,774 1.6 42,235
30.6 10.1 602,120 (0.4) 5,171 0.8 15,756
37.4 7.6 656,427 2.9 33,909 0.8 56,521
52.5 4.6 701,674 16.2 193,760 4.0 91,451
47.1 7.9 539,197 4.1 44,005 1.5 73,275
-
Increase / Decrease
2009
2003-2006 2006-2009
21.8 2.3 5,367,308 1.8 570,410 1.0 516,701

2.9 8.4 103,462 1.4 49,081 (0.7) (23,242)
19.2 11.2 84,771 4.5 26,281 (0.9) (4,325)
19.9 8.2 256,244 5.6 75,819 (2.4) (10,525)
15.5 5.0 118,977 2.0 19,539 (0.5) (3,365)
12.4 7.0 346,784 3.5 108,221 0.0 14,319
11.1 7.3 366,421 (0.1) (5,706) 2.0 88,297
27.1 5.6 181,675 6.1 41,037 (7.1) (36,205)
40.0 7.5 538,823 3.5 51,420 0.8 63,093
26.9 7.4 493,297 (2.1) (21,352) 4.1 108,602
28.1 9.7 536,502 0.9 27,909 (1.3) 41,373
37.1 7.3 398,645 1.2 43,819 7.1 98,908
37.0 13.7 307,274 (5.6) (16,134) 2.9 29,357
35.7 12.3 392,934 0.2 38,415 3.4 45,660
24.5 6.8 289,217 (0.7) (8,754) 0.6 22,686
30.8 6.4 328,271 2.0 42,311 (0.1) (3,230)
39.8 9.1 357,577 9.7 76,646 0.7 35,677
42.0 8.6 266,434 2.3 21,858 3.2 49,621
2 - 25
Increase / Decrease
2012 2015
2009-2012 2012-2015
Poverty Coefficient Poverty Coefficient Poverty Poverty
Incidence of Variation Incidence of Variation Incidence Incidence
25.6 1.9 22.5 2.1 (0.1) (3.1)

4.1 10.4 4.2 11.2 0.5 0.1
23.5 11.8 20.6 10.8 (2.1) (2.9)
18.2 8.0 13.3 11.2 (3.5) (4.9)
22.1 7.6 16.2 8.9 (3.1) (5.9)
13.3 7.8 11.5 8.7 (0.1) (1.8)
11.7 9.1 9.5 9.4 (0.1) (2.2)
32.0 8.0 26.7 10.1 (3.3) (5.3)
40.7 5.2 36.5 4.9 (2.0) (4.2)
28.8 6.1 23.7 7.7 0.0 (5.1)
30.7 6.1 27.8 6.4 0.7 (2.9)
44.9 4.9 38.9 6.2 2.9 (6.0)
38.6 6.2 33.2 7.0 (5.6) (5.3)
39.9 5.8 36.7 7.2 1.0 (3.2)
29.4 7.3 22.6 7.8 (1.2) (6.8)
43.3 5.9 38.2 6.2 5.9 (5.2)
39.7 5.8 38.7 5.3 (12.8) (1.0)
55.0 5.1 55.1 5.1 8.0 0.0
Increase / Decrease
2012 2015
2009-2012 2012-2015
22.3 2.2 19.4 2.4 0.5 (2.9)

2.3 14.4 3.2 15.1 (0.6) 0.9
21.0 13.4 15.8 12.8 1.7 (5.2)
15.1 10.1 10.8 13.4 (4.7) (4.3)
19.6 9.2 12.8 9.9 4.1 (6.8)
10.8 9.6 9.1 10.1 (1.6) (1.7)
7.8 10.9 6.8 10.2 (3.3) (1.0)
28.5 9.1 20.2 12.2 1.4 (8.4)
36.2 6.7 32.3 5.8 (3.8) (3.9)
23.8 6.8 20.3 8.9 (3.1) (3.5)
25.8 7.5 22.2 7.7 (2.3) (3.6)
41.6 5.4 33.9 7.1 4.5 (7.7)
33.0 7.4 29.8 7.9 (4.0) (3.2)
35.0 6.8 32.3 9.0 (0.7) (2.7)
26.6 8.9 19.1 8.8 2.1 (7.5)
37.9 7.2 32.4 8.3 7.1 (5.5)
35.5 6.6 34.2 6.3 (4.3) (1.3)
48.8 6.3 50.8 6.2 6.8 2.1
2 - 26
Table 2.14
OFFICIAL POVERTY STATISTICS FOR SENIOR CITIZENS, BY REGION
2012 and 2015
Increase / Decrease
2012 2015
2012 - 2015
Region
Poverty Coefficient Poverty Coefficient Poverty
Incidence of Variation Incidence of Variation Incidence
Philippines 16.2 2.9 13.2 3.1 (3.0)

NCR 2.1 19.4 2.0 20.2 (0.1)
CAR 14.2 18.4 13.1 13.8 (1.1)
Region I 8.9 11.1 7.3 15.2 (1.7)
Region II 11.8 15.2 8.5 14.1 (3.3)
Region III 7.9 13.5 7.1 13.6 (0.8)
Region IVA 7.7 12.0 4.4 15.3 (3.3)
Region IVB 17.1 13.3 11.0 16.5 (6.2)
Region V 26.5 7.9 19.3 9.4 (7.2)
Region VI 17.2 9.2 9.9 11.2 (7.3)
Region VII 24.8 7.8 22.3 8.9 (2.5)
Region VIII 27.6 8.3 24.7 8.8 (2.8)
Region IX 25.1 9.3 22.3 10.2 (2.8)
Region X 26.2 9.1 23.1 10.0 (3.0)
Region XI 19.2 11.8 13.3 12.2 (5.9)
Region XII 32.1 8.9 24.1 9.1 (8.0)
Caraga 24.1 9.4 30.8 8.3 6.6
ARMM 36.8 11.0 38.5 9.7 1.7
Table 2.15
OFFICIAL POVERTY STATISTICS FOR CHILDREN, BY REGION
2012 and 2015
Increase / Decrease
2012 2015
2012 - 2015
Region
Philippines 35.2 1.7 31.4 1.9 (3.8)

NCR 7.1 10.3 7.0 10.7 (0.1)
CAR 31.0 10.2 28.1 9.7 (2.9)
Region I 26.6 7.2 19.3 10.7 (7.3)
Region II 29.3 7.0 22.5 7.8 (6.8)
Region III 19.8 7.4 17.7 8.2 (2.1)
Region IVA 18.1 8.6 14.9 8.9 (3.3)
Region IVB 39.9 7.1 34.5 9.5 (5.5)
Region V 51.1 4.4 46.7 4.1 (4.4)
Region VI 39.9 5.0 33.5 6.8 (6.4)
Region VII 40.4 5.6 37.5 5.3 (2.9)
Region VIII 56.5 3.9 49.3 5.2 (7.2)
Region IX 48.6 5.4 42.8 6.0 (5.8)
Region X 50.6 4.9 47.6 6.0 (2.9)
Region XI 40.8 5.7 31.7 6.9 (9.1)
Region XII 54.1 4.6 48.4 5.3 (5.8)
Caraga 49.7 5.1 49.1 4.5 (0.6)
ARMM 64.1 4.3 63.1 4.3 (1.0)
2 - 27
Table 2.16
OFFICIAL POVERTY STATISTICS FOR URBAN POPULATION, BY REGION
2003, 2006, 2009, 2012 and 2015
2003 2006
Region
Philippines 11.1 4.3 4,429,424 12.5 4.0 5,310,531

NCR 3.1 12.3 349,252 5.0 11.0 580,546
CAR 3.4 45.2 15,002 3.7 42.9 18,702
Region I 18.5 16.1 289,196 20.4 12.4 357,303
Region II 13.7 20.9 102,223 12.9 23.2 98,159
Region III 9.5 12.8 525,157 11.7 10.3 691,139
Region IVA 5.8 11.2 405,781 5.5 12.5 403,121
Region IVB 26.7 10.4 201,776 32.8 15.9 261,858
Region V 24.2 11.7 336,638 24.8 10.5 323,959
Region VI 13.4 14.6 252,692 11.7 15.4 244,388
Region VII 18.6 12.9 552,765 20.8 11.1 677,080
Region VIII 24.7 13.0 202,839 20.5 17.7 180,284
Region IX 17.3 17.3 114,433 15.5 17.2 122,114
Region X 22.0 12.9 322,384 23.3 11.0 379,772
Region XI 15.7 15.1 247,705 18.7 14.9 307,593
Region XII 21.6 15.4 224,064 22.7 16.4 251,424
Caraga 27.4 13.7 192,468 32.1 12.1 240,490
ARMM 22.3 21.6 95,049 34.9 17.6 172,601
Table 2.17
OFFICIAL POVERTY STATISTICS FOR MIGRANT AND FORMAL SECTOR WORKERS,
BY REGION: 2003, 2006, 2009, 2012 and 2015
2003 2006
Region
Philippines 14.6 3.3 2,283,773 15.7 3.1 2,599,336

NCR 1.6 17.2 45,289 2.2 13.8 64,576
CAR 7.2 18.5 15,160 9.3 22.5 21,933
Region I 13.5 11.1 99,885 17.8 9.7 139,728
Region II 18.3 11.6 111,038 19.3 9.8 120,248
Region III 8.9 11.6 180,358 13.2 10.9 283,271
Region IVA 7.7 11.1 186,897 6.5 12.4 163,915
Region IVB 25.2 10.8 92,072 28.9 10.1 119,538
Region V 32.3 7.4 235,521 33.6 7.1 247,443
Region VI 23.0 8.6 298,562 21.3 8.6 281,746
Region VII 18.2 10.1 186,074 21.3 9.6 245,137
Region VIII 27.3 8.4 144,068 26.2 8.7 152,831
Region IX 25.3 12.3 96,758 25.1 11.1 118,089
Region X 25.4 10.7 164,306 26.8 8.6 192,605
Region XI 19.4 12.0 143,521 17.4 10.7 136,810
Region XII 26.0 9.7 170,506 25.0 8.2 168,783
Caraga 28.7 9.9 95,872 31.3 9.6 106,215
ARMM 12.9 19.0 17,887 20.0 13.8 36,467
2 - 28
Increase / Decrease
2009
2003-2006 2006-2009
12.8 3.7 5,709,170 1.4 881,107 0.3 398,639

3.8 11.2 455,001 1.9 231,294 (1.2) (125,545)
3.9 36.2 22,688 0.3 3,700 0.2 3,986
19.0 10.7 326,807 1.8 68,107 (1.4) (30,496)
10.5 21.9 85,474 (0.9) (4,064) (2.4) (12,685)
11.2 10.4 681,054 2.2 165,982 (0.5) (10,085)
7.8 10.8 607,216 (0.3) (2,661) 2.3 204,095
29.1 15.0 254,975 6.1 60,082 (3.7) (6,884)
27.9 9.8 445,533 0.6 (12,679) 3.1 121,574
15.0 12.8 333,876 (1.7) (8,304) 3.3 89,488
19.0 10.4 669,162 2.2 124,315 (1.8) (7,918)
28.7 11.5 268,471 (4.3) (22,555) 8.2 88,187
20.5 19.1 166,364 (1.7) 7,681 4.9 44,250
22.4 12.2 381,399 1.3 57,387 (0.9) 1,627
17.6 15.2 303,303 3.1 59,888 (1.1) (4,290)
19.8 11.6 246,244 1.1 27,359 (2.9) (5,180)
38.0 11.1 307,202 4.7 48,022 5.9 66,711
30.5 19.0 154,403 12.6 77,552 (4.4) (18,198)
2009 Increase / Decrease

2003-2006 2006-2009
16.7 2.7 3,118,701 1.1 315,563 1.0 519,365

1.9 13.5 61,513 0.6 19,287 (0.3) (3,063)
9.5 16.4 26,584 2.1 6,773 0.2 4,651
14.5 8.1 131,026 4.4 39,843 (3.3) (8,702)
18.9 10.2 126,716 1.0 9,210 (0.4) 6,468
13.9 10.4 331,318 4.4 102,913 0.7 48,047
7.1 9.3 193,695 (1.2) (22,982) 0.6 29,779
26.5 9.3 131,988 3.7 27,466 (2.4) 12,451
35.6 5.9 316,144 1.3 11,923 2.0 68,701
25.4 7.9 383,348 (1.8) (16,816) 4.1 101,601
20.8 8.1 279,068 3.1 59,064 (0.5) 33,931
31.9 6.1 204,444 (1.0) 8,762 5.6 51,613
29.2 9.1 161,692 (0.2) 21,331 4.1 43,603
26.7 7.7 222,137 1.4 28,299 (0.1) 29,532
19.3 9.0 169,220 (2.0) (6,712) 1.9 32,410
25.1 7.6 201,184 (1.1) (1,723) 0.2 32,401
34.9 6.7 133,873 2.5 10,343 3.6 27,658
22.7 13.5 44,751 7.2 18,580 2.7 8,283
2 - 29
Increase / Decrease
2012 2015
2009-2012 2012-2015
13.0 5.1 11.5 5.0 0.2 (1.5)

4.1 14.0 4.1 10.8 0.3 0.0
13.6 18.8 8.5 27.6 (5.4) (5.1)

23.0 26.2
8.8 14.2 6.2 16.2 (2.4) (2.6)
5.6 17.6 6.5 13.7 (2.2) 0.9
15.4 30.4 18.2 25.2 (13.7) 2.8
22.8 19.5 19.6 19.3 (5.1) (3.2)
27.3 13.9 25.6 12.8 12.3 (1.7)
17.2 15.8 20.2 12.8 (1.8) 3.0
24.9 17.6 23.3 36.8 (3.8) (1.6)
16.1 17.6 10.6 24.7 (4.4) (5.5)
24.8 13.7 21.1 17.5 2.4 (3.7)
19.7 13.9 11.9 12.4 2.1 (7.8)
33.1 14.4 26.4 15.0 13.3 (6.7)
29.9 13.8 29.7 13.2 (8.1) (0.2)
40.1 15.0 36.3 25.7 9.6 (3.8)
Increase / Decrease
2012 2015
2009-2012 2012-2015
16.6 2.6 13.4 2.7 (0.1) (3.2)

1.7 13.2 1.6 14.6 (0.2) (0.1)
13.2 14.7 11.0 14.4 3.7 (2.2)
13.5 10.6 8.4 13.9 (1.0) (5.2)
19.4 8.6 14.3 9.8 0.6 (5.1)
11.0 11.0 8.9 11.3 (2.9) (2.1)
6.4 10.8 5.4 10.8 (0.7) (1.0)
23.1 10.5 16.7 14.4 (3.4) (6.4)
32.1 7.2 27.2 6.8 (3.5) (4.9)
21.8 6.9 16.6 8.7 (3.6) (5.2)
17.7 8.4 16.3 9.4 (3.1) (1.4)
36.0 7.9 28.5 7.8 4.2 (7.5)
26.2 8.6 22.8 9.1 (3.0) (3.4)
28.7 7.5 26.6 9.1 1.9 (2.1)
20.1 9.2 12.8 8.8 0.7 (7.3)
33.8 7.6 26.9 8.5 8.6 (6.9)
28.1 8.5 28.4 7.6 (6.8) 0.2
36.2 11.0 29.7 10.8 13.5 (6.5)
2 - 30
Table 2.18
OFFICIAL POVERTY STATISTICS FOR FARMERS, BY REGION
2012 and 2015
Increase / Decrease
2012 2015
2012 - 2015
Region
Philippines 38.3 2.5 34.3 3.0 (4.0)
NCR
CAR 33.0 11.4 28.1 11.0 (4.9)
Region I 15.8 17.1 12.2 18.5 (3.6)
Region II 14.6 20.1 8.8 16.1 (5.8)
Region III 11.9 21.9 8.4 29.7 (3.5)
Region IVA 24.1 12.3 16.7 20.6 (7.4)
Region IVB 35.6 9.2 26.0 13.0 (9.6)
Region V 37.0 8.1 34.9 7.6 (2.1)
Region VI 31.4 9.5 25.7 13.6 (5.7)
Region VII 47.4 6.0 41.6 7.5 (5.8)
Region VIII 49.2 6.8 46.4 6.6 (2.8)
Region IX 50.6 7.0 46.2 8.0 (4.4)
Region X 55.1 6.7 54.0 9.0 (1.1)
Region XI 45.2 8.7 29.3 11.6 (15.9)
Region XII 47.9 7.7 45.7 8.9 (2.2)
Caraga 45.5 9.2 46.0 8.9 0.5
ARMM 58.0 6.1 59.4 6.2 1.4
Note: The poverty incidence estimate for farmers in NCR was excluded due to the very low level of precision
(with CV > 50 percent) and small sample size (less than 50).
Table 2.19
OFFICIAL POVERTY STATISTICS FOR FISHERMEN, BY REGION
2012 and 2015
Region Increase / Decrease
2012 2015
2012 - 2015
Philippines 39.2 4.7 34.0 5.8 (5.2)
NCR
CAR
Region I 20.1 32.6 22.0 21.7 1.9
Region II
Region III
Region IVA 39.2 19.4 19.0 33.9 (20.2)
Region IVB 36.5 15.1 26.2 41.3 (10.3)
Region V 45.6 13.1 48.5 9.2 2.9
Region VI 27.6 17.4 18.6 25.1 (9.0)
Region VII 40.2 13.5 31.2 14.2 (9.0)
Region VIII 46.4 9.5 40.0 12.9 (6.4)
Region IX 40.4 19.9 34.2 13.5 (6.2)
Region X
Region XI 36.5 27.1 43.8 20.4 7.3
Region XII
Caraga 49.6 12.4 38.9 16.1 (10.7)
ARMM 42.9 12.2 43.4 12.8 0.5
Note: The poverty incidence estimates for fishermen in NCR, CAR, Regions II, III, X and XII were excluded
due to very low level of precision (with CV > 50 percent) and small sample size
2 - 31
Table 2.20
OFFICIAL POVERTY STATISTICS FOR EMPLOYED POPULATION, BY REGION
2012 and 2015
Increase / Decrease
2012 2015
2012 - 2015
Region
Philippines 21.9 2.1 18.0 2.4 (3.9)

NCR 2.2 11.1 2.2 11.9 0.0
CAR 22.4 12.1 18.2 11.6 (4.2)
Region I 15.4 10.0 10.5 11.5 (4.9)
Region II 19.2 9.1 13.4 9.1 (5.8)
Region III 11.3 9.7 9.2 9.7 (2.1)
Region IVA 9.2 9.8 6.6 10.4 (2.5)
Region IVB 26.8 8.5 20.4 11.4 (6.3)
Region V 33.8 5.9 29.7 6.0 (4.1)
Region VI 24.1 6.4 18.4 8.6 (5.7)
Region VII 26.5 7.1 23.0 7.5 (3.5)
Region VIII 38.3 5.5 31.6 6.7 (6.7)
Region IX 34.9 7.1 30.2 7.4 (4.8)
Region X 35.9 6.6 32.4 8.3 (3.5)
Region XI 25.5 8.5 16.5 8.8 (9.0)
Region XII 37.4 6.4 31.2 7.6 (6.2)
Caraga 32.9 6.7 32.5 6.6 (0.4)
ARMM 48.9 5.4 48.3 5.7 (0.6)
Table 2.21
OFFICIAL POVERTY STATISTICS FOR UNEMPLOYED POPULATION, BY REGION
2012 and 2015
Increase / Decrease
2012 2015
2012 - 2015
Region
Philippines 18.7 4.5 16.4 5.3 (2.3)

NCR 4.5 24.0 5.4 26.4 0.9
CAR 8.1 36.0 18.9 27.3 10.8
Region I 12.0 19.3 15.2 21.9 3.3
Region II 12.4 34.3 9.6 31.9 (2.8)
Region III 10.5 18.9 7.0 19.6 (3.5)
Region IVA 7.7 16.7 6.0 26.7 (1.7)
Region IVB 27.8 16.9 16.6 28.8 (11.1)
Region V 34.3 11.5 29.2 14.0 (5.1)
Region VI 23.1 12.4 17.5 18.0 (5.6)
Region VII 19.4 12.3 22.8 16.1 3.3
Region VIII 40.4 9.5 36.0 12.7 (4.4)
Region IX 27.3 18.4 34.8 16.7 7.5
Region X 35.0 12.1 25.8 16.0 (9.3)
Region XI 27.3 14.1 18.1 29.7 (9.2)
Region XII 33.2 12.7 39.6 16.0 6.4
Caraga 41.6 10.8 31.7 13.5 (9.9)
ARMM 60.0 12.7 58.1 13.6 (2.0)
2 - 32
Table 2.22
CONSUMER PRICE INDEX, INFLATION RATE AND PURCHASING POWER OF THE PESO
FOR ALL INCOME HOUSEHOLDS BY PROVINCE: (2006=100)
2012 - 2017
Furnishings,
Household
Housing, Water,
Food, Beverages Clothing and Equipment and
All Items Electricity, Gas
and Tobacco Footwear Routine
Province and Other Fuels
Maintenance of
Year/ the House
Month Inflation Inflation Inflation Inflation Inflation
CPI CPI CPI CPI CPI
Rate Rate Rate Rate Rate
CAR
2012 128.2 3.7 134.2 4.5 116.7 2.7 121.8 5.8 118.3 2.7
Jan 125.3 2.7 130.5 3.8 114.1 1.5 116.3 2.3 116.3 2.3
Feb 125.2 2.3 130.6 3.0 114.3 1.5 116.6 2.3 116.3 2.1
Mar 125.8 2.6 130.6 2.7 114.5 1.1 119.7 4.8 116.4 2.2
Apr 126.4 2.8 131.9 3.4 114.9 1.5 119.1 3.7 116.8 2.4
May 126.8 2.9 132.9 4.1 115.4 1.9 119.6 3.7 117.1 2.3
June 127.9 3.5 133.6 4.2 116.0 1.9 122.7 6.1 117.7 1.8
July 128.6 3.9 135.1 5.2 116.6 2.3 122.8 6.0 118.8 2.6
Aug 129.8 4.8 136.2 6.0 117.4 3.0 124.7 7.9 119.3 2.8
Sept 130.5 5.2 137.2 6.4 118.3 3.7 124.3 7.6 119.8 3.3
Oct 130.6 4.6 137.3 5.7 119.1 4.4 124.6 8.1 120.0 3.4
Nov 130.9 4.4 137.3 5.1 119.5 4.7 125.5 8.4 120.2 3.5
Dec 130.6 4.2 136.9 4.9 120.0 5.1 125.4 8.1 120.4 3.6
2013 132.5 3.3 156.9 16.9 122.6 5.0 125.7 3.2 122.6 3.6
Jan 130.9 4.5 144.1 10.4 120.8 5.9 125.9 8.3 120.5 3.6
Feb 131.1 4.7 153.9 17.9 121.2 6.0 125.2 7.4 120.7 3.8
Mar 131.4 4.5 155.1 18.7 121.5 6.1 126.1 5.3 120.8 3.8
Apr 131.4 4.0 156.7 18.8 121.9 6.1 125.5 5.4 121.0 3.6
May 131.5 3.7 157.1 18.2 122.3 6.0 125.2 4.7 121.1 3.4
June 132.1 3.3 157.8 18.1 122.5 5.6 125.0 1.9 122.2 3.8
July 132.5 3.0 158.3 17.2 122.9 5.4 125.2 2.0 123.4 3.9
Aug 132.6 2.2 158.4 16.3 123.2 4.9 125.4 0.6 123.5 3.5
Sept 133.3 2.1 159.6 16.3 123.3 4.2 125.4 0.9 123.6 3.2
Oct 133.8 2.5 160.3 16.7 123.4 3.6 126.2 1.3 123.8 3.2
Nov 133.9 2.3 160.4 16.9 123.8 3.6 125.2 (0.2) 124.7 3.7
Dec 135.0 3.4 161.2 17.8 123.9 3.3 128.0 2.1 125.5 4.2
2014 137.4 3.7 165.4 5.4 126.3 3.0 130.9 4.1 126.7 3.4
Jan 135.3 3.4 162.3 12.6 124.3 2.9 127.8 1.5 125.6 4.2
Feb 135.3 3.2 163.2 6.0 124.8 3.0 127.2 1.6 125.9 4.3
Mar 135.0 2.7 164.1 5.8 125.0 2.9 126.9 0.6 126.3 4.6
Apr 135.2 2.9 164.2 4.8 125.2 2.7 127.2 1.4 126.3 4.4
May 136.4 3.7 164.4 4.6 125.5 2.6 132.5 5.8 126.5 4.5
June 136.9 3.6 164.8 4.5 126.0 2.9 131.6 5.3 126.7 3.7
July 138.3 4.4 165.9 4.8 126.4 2.8 133.0 6.2 126.9 2.8
Aug 138.8 4.7 166.3 5.0 127.0 3.1 133.6 6.5 127.1 2.9
Sept 139.3 4.5 166.9 4.6 127.3 3.2 133.6 6.5 127.2 2.9
Oct 139.4 4.2 167.4 4.4 127.7 3.5 133.1 5.5 127.3 2.8
Nov 139.6 4.3 167.9 4.6 127.9 3.3 132.8 6.1 127.4 2.2
Dec 138.9 2.9 168.1 4.2 127.9 3.2 131.2 2.5 127.4 1.5
2 - 33
Restaurants and
Recreation and Miscellaneous
Health Transport Communication Education Purchasing
Culture Goods and
Power of
Services
the Peso
Inflation Inflation Inflation Inflation Inflation Inflation

CPI CPI CPI CPI CPI CPI
Rate Rate Rate Rate Rate Rate
124.9 1.5 130.0 1.3 83.3 (0.3) 103.6 1.2 128.4 3.0 117.0 1.7 0.78
123.7 1.7 129.2 4.0 83.5 (0.1) 102.4 0.4 126.6 3.3 115.5 0.9 0.80
123.7 1.7 129.8 3.7 83.5 (0.1) 102.4 0.4 126.6 3.3 115.5 0.8 0.80
123.7 1.0 130.3 2.9 83.5 (0.1) 102.9 0.8 126.6 3.3 115.6 0.8 0.79
124.0 0.6 130.4 0.4 83.5 (0.1) 102.9 0.7 126.6 3.3 116.4 1.5 0.79
124.6 1.1 130.1 (0.2) 83.6 0.0 102.8 0.3 126.6 3.3 116.6 1.7 0.79
125.0 1.3 129.5 (0.1) 83.6 0.0 103.2 0.7 129.7 3.8 116.8 1.7 0.78
125.5 1.7 128.8 (0.4) 83.6 0.0 103.8 1.3 129.7 2.4 117.1 1.8 0.78
125.5 1.6 130.0 0.6 82.9 (0.8) 104.5 1.9 129.7 2.4 117.3 1.7 0.77
125.6 1.7 130.7 1.0 82.9 (0.7) 104.5 2.1 129.7 2.4 117.5 1.8 0.77
125.7 1.7 130.5 1.2 82.9 (0.7) 104.5 2.1 129.7 2.4 117.8 2.1 0.77
125.9 1.9 130.4 1.0 82.9 (0.7) 104.5 2.1 129.9 2.6 118.3 2.5 0.76
126.1 1.9 130.4 1.2 82.9 (0.7) 104.6 2.1 129.9 2.6 119.0 3.0 0.77
127.0 1.7 131.1 0.9 82.9 (0.5) 106.0 2.3 136.0 5.9 121.0 3.5 0.75
126.1 1.9 130.4 0.9 82.9 (0.7) 104.8 2.3 129.9 2.6 119.2 3.2 0.76
126.5 2.3 130.9 0.8 82.9 (0.7) 104.8 2.3 129.9 2.6 119.3 3.3 0.76
126.5 2.3 131.0 0.5 82.9 (0.7) 104.9 1.9 129.9 2.6 119.7 3.5 0.76
126.8 2.3 130.7 0.2 82.9 (0.7) 105.0 2.0 129.9 2.6 119.9 3.0 0.76
126.9 1.8 130.6 0.4 82.9 (0.8) 105.4 2.5 129.9 2.6 120.8 3.6 0.76
126.9 1.5 130.8 1.0 82.9 (0.8) 106.5 3.2 137.8 6.2 121.0 3.6 0.76
127.2 1.4 131.2 1.9 82.9 (0.8) 106.6 2.7 140.8 8.6 121.1 3.4 0.75
127.2 1.4 131.4 1.1 82.9 0.0 106.6 2.0 140.8 8.6 121.7 3.8 0.75
127.3 1.4 131.9 0.9 82.9 0.0 106.7 2.1 140.8 8.6 121.8 3.7 0.75
127.4 1.4 131.4 0.7 82.9 0.0 106.7 2.1 140.8 8.6 121.9 3.5 0.75
127.6 1.4 131.5 0.8 82.9 0.0 106.8 2.2 140.8 8.4 123.0 4.0 0.75
127.7 1.3 131.8 1.1 82.9 0.0 106.9 2.2 140.8 8.4 123.1 3.4 0.74
128.7 1.3 131.9 0.6 83.1 0.2 107.1 1.1 144.5 6.3 124.7 3.0 0.73
127.8 1.3 132.1 1.3 82.9 0.0 107.0 2.1 140.8 8.4 123.2 3.4 0.74
128.2 1.3 132.3 1.1 83.0 0.1 107.0 2.1 140.8 8.4 123.3 3.4 0.74
128.4 1.5 132.5 1.1 83.1 0.2 107.1 2.1 140.8 8.4 123.4 3.1 0.74
128.5 1.3 132.4 1.3 83.1 0.2 107.1 2.0 140.8 8.4 123.5 3.0 0.74
128.7 1.4 132.4 1.4 83.1 0.2 107.1 1.6 140.8 8.4 123.5 2.2 0.73
128.8 1.5 132.4 1.2 83.1 0.2 107.1 0.6 145.8 5.8 124.2 2.6 0.73
128.8 1.3 132.6 1.1 83.1 0.2 107.1 0.5 147.4 4.7 124.9 3.1 0.72
128.9 1.3 132.0 0.5 83.0 0.1 107.1 0.5 147.4 4.7 125.9 3.5 0.72
128.9 1.3 131.7 (0.2) 83.0 0.1 107.2 0.5 147.4 4.7 126.1 3.5 0.72
129.0 1.3 131.6 0.2 83.1 0.2 107.2 0.5 147.4 4.7 126.2 3.5 0.72
129.0 1.1 130.8 (0.5) 83.1 0.2 107.2 0.4 147.4 4.7 126.2 2.6 0.72
129.1 1.1 129.9 (1.4) 83.1 0.2 107.2 0.3 147.4 4.7 126.2 2.5 0.72
2 - 34
Table 2.22
2012 - 2017
Furnishings,
Household
Housing, Water,
Maintenance of
the House
Year/
CPI CPI CPI CPI CPI
CAR
2015 139.4 1.4 170.1 2.8 128.8 2.0 130.5 (0.3) 127.6 0.7
Jan 138.7 2.5 168.8 4.0 128.0 3.0 130.4 2.0 127.4 1.4
Feb 138.3 2.2 168.7 3.3 128.2 2.7 130.0 2.2 127.4 1.2
Mar 138.4 2.5 168.6 2.8 128.3 2.6 130.9 3.2 127.4 0.9
Apr 138.5 2.4 168.9 2.8 128.5 2.6 131.1 3.1 127.5 1.0
May 138.1 1.2 168.7 2.6 128.6 2.5 130.1 (1.8) 127.5 0.8
June 139.0 1.5 169.1 2.6 128.6 2.1 130.7 (0.7) 127.6 0.7
July 139.1 0.6 169.6 2.2 128.9 2.0 130.2 (2.1) 127.6 0.6
Aug 140.0 0.9 170.7 2.6 128.9 1.5 130.2 (2.5) 127.6 0.4
Sept 140.2 0.6 170.9 2.4 129.0 1.3 130.0 (2.7) 127.6 0.3
Oct 140.1 0.5 171.1 2.2 129.2 1.2 130.6 (1.9) 127.7 0.3
Nov 140.9 0.9 172.6 2.8 129.5 1.3 130.7 (1.6) 127.8 0.3
Dec 141.0 1.5 173.5 3.2 129.8 1.5 130.8 (0.3) 127.9 0.4
2016 142.0 1.9 178.6 5.0 132.0 2.5 130.6 0.1 129.5 1.5
Jan 141.1 1.7 174.6 3.5 130.2 1.7 130.1 (0.2) 128.9 1.2
Feb 140.9 1.9 175.7 4.2 130.5 1.8 130.3 0.2 129.0 1.3
Mar 141.1 2.0 176.5 4.7 130.7 1.9 129.8 (0.8) 129.4 1.6
Apr 140.9 1.7 176.6 4.6 131.4 2.3 130.9 (0.2) 129.4 1.5
May 140.9 2.0 177.1 5.0 131.4 2.2 131.1 0.8 129.4 1.5
June 141.6 1.9 177.9 5.2 132.2 2.8 131.2 0.4 129.5 1.5
July 142.4 2.4 179.0 5.6 132.4 2.7 131.7 1.2 129.5 1.5
Aug 141.2 0.9 178.6 4.7 132.5 2.8 130.1 (0.1) 129.5 1.5
Sept 142.3 1.5 179.7 5.1 132.6 2.8 130.6 0.5 129.6 1.6
Oct 142.7 1.9 180.5 5.5 132.7 2.7 130.6 0.0 129.7 1.6
Nov 144.4 2.5 183.5 6.3 133.4 3.0 130.4 (0.2) 129.8 1.6
Dec 144.2 2.3 183.2 5.6 134.1 3.3 130.2 (0.5) 130.0 1.6
2017 144.6 1.8 187.2 4.8 136.3 3.3 133.0 1.9 131.4 1.5
Jan 143.8 1.9 183.2 4.9 134.6 3.4 131.5 1.1 130.3 1.1
Feb 144.0 2.2 184.4 4.9 135.2 3.6 133.1 2.1 130.4 1.1
Mar 143.6 1.8 184.4 4.5 135.5 3.7 134.0 3.2 130.4 0.8
Apr 143.0 1.5 184.3 4.3 135.8 3.3 132.9 1.5 130.7 1.0
May 143.3 1.7 185.3 4.6 136.0 3.5 132.4 1.0 130.7 1.0
June 144.0 1.7 186.4 4.8 136.0 2.9 132.4 0.9 130.9 1.1
July 143.9 1.1 187.2 4.6 136.4 3.0 132.8 0.8 131.8 1.8
Aug 144.5 2.3 188.1 5.3 136.6 3.1 132.9 2.2 131.9 1.9
Sept 145.1 2.0 189.1 5.2 136.9 3.2 133.1 1.9 132.0 1.9
Oct 146.0 2.3 190.6 5.6 137.3 3.5 133.3 2.1 132.4 2.1
Nov 146.7 1.6 191.4 4.3 137.4 3.0 133.8 2.6 132.4 2.0
Dec 146.8 1.8 192.3 5.0 138.1 3.0 133.9 2.8 132.5 1.9
2 - 35
Restaurants and
Culture Goods and
Power of
Services
the Peso

129.4 0.6 129.6 (1.7) 83.1 0.0 107.4 0.3 154.2 6.7 127.0 1.9 0.72
129.1 1.0 128.5 (2.7) 83.1 0.2 107.2 0.2 147.4 4.7 126.3 2.5 0.72
129.2 0.8 129.0 (2.5) 83.1 0.1 107.2 0.2 147.4 4.7 126.4 2.5 0.72
129.2 0.6 129.6 (2.2) 83.1 0.0 107.3 0.2 147.4 4.7 126.6 2.6 0.72
129.4 0.7 129.6 (2.1) 83.1 0.0 107.3 0.2 147.4 4.7 126.6 2.5 0.72
129.4 0.5 129.9 (1.9) 83.1 0.0 107.3 0.2 147.4 4.7 126.7 2.6 0.72
129.4 0.5 130.3 (1.6) 83.1 0.0 107.4 0.3 157.0 7.7 126.8 2.1 0.72
129.4 0.5 130.2 (1.8) 83.0 (0.1) 107.4 0.3 157.0 6.5 127.0 1.7 0.72
129.4 0.4 129.6 (1.8) 83.0 0.0 107.4 0.3 159.9 8.5 127.1 1.0 0.71
129.5 0.5 129.6 (1.6) 83.0 0.0 107.5 0.3 159.9 8.5 127.1 0.8 0.71
129.6 0.5 129.7 (1.4) 83.1 0.0 107.5 0.3 159.9 8.5 127.5 1.0 0.71
129.8 0.6 129.5 (1.0) 83.1 0.0 107.6 0.4 159.9 8.5 127.9 1.3 0.71
129.9 0.6 129.6 (0.2) 83.1 0.0 107.6 0.4 159.9 8.5 128.5 1.8 0.71
131.4 1.5 129.9 0.2 83.2 0.1 108.5 1.0 161.0 4.4 129.8 2.2 0.70
130.4 1.0 129.1 0.5 83.1 0.0 108.0 0.7 159.9 8.5 129.0 2.1 0.71
130.9 1.3 128.3 (0.5) 83.1 0.0 108.1 0.8 159.9 8.5 129.5 2.5 0.71
130.9 1.3 129.9 0.2 83.1 0.0 108.0 0.7 159.9 8.5 129.5 2.3 0.71
131.2 1.4 129.1 (0.4) 83.1 0.0 108.1 0.7 159.9 8.5 129.5 2.3 0.71
131.3 1.5 129.6 (0.2) 83.2 0.1 108.3 0.9 159.9 8.5 129.6 2.3 0.71
131.5 1.6 130.3 0.0 83.2 0.1 108.4 0.9 161.6 2.9 129.5 2.1 0.71
131.5 1.6 129.8 (0.3) 83.2 0.2 108.5 1.0 161.8 3.1 129.7 2.1 0.70
131.5 1.6 129.3 (0.2) 83.2 0.2 108.6 1.1 161.8 1.2 129.8 2.1 0.71
131.6 1.6 129.7 0.1 83.2 0.2 108.6 1.0 161.8 1.2 129.9 2.2 0.70
131.6 1.5 130.5 0.6 83.2 0.1 108.9 1.3 161.8 1.2 130.0 2.0 0.70
131.9 1.6 131.1 1.2 83.2 0.1 109.0 1.3 161.8 1.2 130.2 1.8 0.69
132.0 1.6 132.2 2.0 83.2 0.1 109.1 1.4 161.8 1.2 131.2 2.1 0.69
132.7 1.0 132.7 2.1 83.3 0.2 109.6 1.0 164.9 2.4 131.9 1.6 0.69
132.2 1.4 132.6 2.7 83.3 0.2 109.2 1.1 161.8 1.2 131.3 1.8 0.70
132.2 1.0 132.0 2.9 83.3 0.2 109.3 1.1 161.8 1.2 131.4 1.5 0.69
132.3 1.1 133.3 2.6 83.3 0.2 109.3 1.2 161.8 1.2 131.4 1.5 0.70
132.3 0.8 133.3 3.3 83.3 0.2 109.4 1.2 161.8 1.2 131.4 1.5 0.70
132.4 0.8 133.0 2.6 83.3 0.1 109.4 1.0 161.8 1.2 131.7 1.6 0.70
132.6 0.8 132.6 1.8 83.3 0.1 109.5 1.0 165.9 2.7 131.8 1.8 0.69
132.8 1.0 131.8 1.5 83.3 0.1 109.6 1.0 166.1 2.7 132.0 1.8 0.69
132.8 1.0 132.1 2.2 83.3 0.1 109.7 1.0 167.5 3.5 132.1 1.8 0.69
133.0 1.1 132.4 2.1 83.3 0.1 109.7 1.0 167.5 3.5 132.2 1.8 0.69
133.0 1.1 132.6 1.6 83.3 0.1 109.8 0.8 167.5 3.5 132.5 1.9 0.68
133.0 0.8 133.0 1.4 83.3 0.1 109.8 0.7 167.5 3.5 132.5 1.8 0.68
133.2 0.9 133.3 0.8 83.3 0.1 109.9 0.7 167.5 3.5 132.7 1.1 0.68
2 - 36
Table 2.22
2012 - 2017
Furnishings,
Household
Housing, Water,
Maintenance of
the House
Year/
CPI CPI CPI CPI CPI
Abra
2012 123.7 2.2 126.5 2.9 117.1 4.4 109.6 3.3 114.9 2.2
Jan 122.4 2.7 125.4 4.5 112.1 1.4 106.8 1.8 113.4 1.3
Feb 122.4 2.2 125.1 3.8 112.9 2.2 107.4 1.9 113.4 1.0
Mar 123.3 2.5 125.3 2.8 113.1 1.2 111.3 5.7 113.4 0.9
Apr 122.6 1.8 125.7 2.7 113.2 1.2 107.9 2.4 113.4 0.9
May 122.5 1.9 125.9 2.9 113.4 1.2 107.4 1.6 114.2 1.6
June 122.7 1.6 126.5 2.6 113.4 0.6 107.0 1.2 114.6 2.0
July 123.7 2.4 126.8 2.8 113.2 0.4 110.0 4.2 115.0 2.3
Aug 123.6 1.9 126.6 2.4 116.9 3.7 110.2 3.2 115.3 2.5
Sept 124.9 2.5 127.7 3.0 122.3 8.5 111.7 4.3 116.1 3.2
Oct 124.8 2.1 127.7 2.6 125.0 10.9 111.5 3.9 116.3 3.4
Nov 125.7 2.6 128.3 2.8 125.0 10.8 112.1 4.6 116.4 3.4
Dec 125.2 2.2 127.7 1.7 125.2 11.0 112.2 5.1 116.9 3.8
2013 127.3 3.0 156.5 23.7 132.0 12.7 113.3 3.4 118.3 3.0
Jan 125.9 2.9 143.0 14.0 125.4 11.9 112.3 5.1 116.9 3.1
Feb 126.5 3.3 155.0 24.0 127.4 12.8 113.2 5.4 117.1 3.3
Mar 126.4 2.5 155.9 24.4 129.5 14.5 113.3 1.8 117.4 3.5
Apr 126.3 3.0 156.0 24.2 131.3 16.0 112.9 4.6 117.7 3.8
May 126.4 3.2 156.4 24.2 132.1 16.5 112.7 4.9 117.7 3.1
June 126.4 3.0 156.7 23.9 132.3 16.7 112.3 5.0 118.5 3.4
July 127.0 2.7 157.6 24.3 133.6 18.0 112.6 2.4 118.6 3.1
Aug 127.5 3.2 157.9 24.8 134.8 15.3 113.7 3.2 118.8 3.0
Sept 128.7 3.0 159.3 24.7 134.5 10.0 114.6 2.6 119.2 2.7
Oct 128.5 3.0 159.2 24.7 134.2 7.4 113.9 2.2 119.3 2.6
Nov 128.9 2.5 159.6 24.4 134.0 7.2 114.1 1.8 119.3 2.5
Dec 129.5 3.4 161.3 26.3 134.5 7.4 114.3 1.9 119.5 2.2
2014 130.4 2.4 163.2 4.3 137.2 3.9 113.9 0.5 120.5 1.9
Jan 129.7 3.0 161.7 13.1 135.0 7.7 113.8 1.3 119.4 2.1
Feb 129.6 2.5 162.4 4.7 135.3 6.2 113.5 0.3 119.7 2.2
Mar 129.1 2.1 161.9 3.8 135.8 4.9 113.1 (0.2) 119.8 2.0
Apr 129.6 2.6 162.7 4.3 136.1 3.7 113.3 0.4 119.8 1.8
May 129.8 2.7 162.6 4.0 136.5 3.3 114.9 2.0 119.9 1.9
June 130.5 3.2 162.9 4.0 137.6 4.0 114.0 1.5 120.0 1.3
July 130.9 3.1 163.0 3.4 138.1 3.4 115.2 2.3 120.6 1.7
Aug 131.1 2.8 163.6 3.6 138.3 2.6 114.2 0.4 121.2 2.0
Sept 131.1 1.9 163.7 2.8 138.3 2.8 114.3 (0.3) 121.3 1.8
Oct 131.1 2.0 163.8 2.9 138.3 3.1 114.0 0.1 121.4 1.8
Nov 131.2 1.8 164.6 3.2 138.3 3.2 113.2 (0.8) 121.6 1.9
Dec 130.9 1.1 166.2 3.0 138.3 2.8 112.7 (1.4) 121.6 1.8
2 - 37
Restaurants and
Culture Goods and
Power of
Services
the Peso

116.4 1.1 148.2 2.5 109.8 0.0 103.1 2.4 122.6 6.5 111.2 1.2 0.81
115.7 1.6 145.1 4.2 109.8 0.0 101.2 1.7 116.0 1.8 110.2 0.7 0.82
115.7 1.3 149.1 6.7 109.8 0.0 101.2 1.2 116.0 1.8 110.3 0.9 0.82
115.7 1.3 149.3 2.7 109.8 0.0 101.2 1.2 116.0 1.8 110.4 0.6 0.81
116.1 1.0 149.4 2.3 109.8 0.0 101.9 1.9 116.0 1.8 110.6 0.8 0.82
116.3 1.2 148.2 1.2 109.8 0.0 102.0 1.4 116.0 1.8 110.8 0.9 0.82
116.5 1.0 147.9 0.9 109.8 0.0 102.5 1.3 126.8 9.3 110.9 0.8 0.81
116.9 1.3 147.8 1.2 109.8 0.0 103.1 1.9 126.8 9.3 111.3 1.2 0.81
116.6 0.8 148.1 1.6 109.8 0.0 104.7 3.5 126.8 9.3 111.4 1.3 0.81
116.6 0.8 148.7 2.6 109.8 0.0 104.7 3.5 126.8 9.3 111.7 1.5 0.80
116.8 1.0 148.5 2.5 109.8 0.0 104.7 3.5 126.8 9.3 111.9 1.5 0.80
116.8 1.0 148.5 2.5 109.8 0.0 104.7 3.5 128.4 10.7 112.2 1.8 0.80
116.7 0.9 148.3 2.1 110.0 0.2 105.0 3.8 128.4 10.7 112.6 2.2 0.80
116.7 0.3 148.6 0.2 110.0 0.2 105.6 2.4 128.4 4.8 113.5 2.0 0.79
116.7 0.9 148.3 2.2 110.0 0.2 105.0 3.8 128.4 10.7 113.1 2.6 0.79
116.4 0.6 148.4 (0.5) 110.0 0.2 105.0 3.8 128.4 10.7 113.3 2.7 0.79
116.4 0.6 148.7 (0.4) 110.0 0.2 105.1 3.9 128.4 10.7 113.2 2.5 0.79
116.4 0.3 148.1 (0.9) 110.0 0.2 105.1 3.1 128.4 10.7 113.4 2.5 0.79
116.5 0.2 147.6 (0.4) 110.0 0.2 105.1 3.0 128.4 10.7 113.4 2.3 0.79
116.5 0.0 147.7 (0.1) 110.0 0.2 105.2 2.6 128.4 1.3 113.4 2.3 0.79
116.6 (0.3) 148.9 0.7 110.0 0.2 105.2 2.0 128.4 1.3 113.4 1.9 0.79
116.6 0.0 149.1 0.7 110.0 0.2 105.2 0.5 128.4 1.3 113.4 1.8 0.78
116.6 0.0 149.3 0.4 110.0 0.2 106.4 1.6 128.4 1.3 113.4 1.5 0.78
117.0 0.2 148.8 0.2 110.0 0.2 106.4 1.6 128.4 1.3 113.8 1.7 0.78
117.5 0.6 148.8 0.2 110.0 0.2 106.5 1.7 128.4 0.0 113.8 1.4 0.78
117.7 0.9 149.0 0.5 110.0 0.0 106.6 1.5 128.4 0.0 113.9 1.2 0.77
118.4 1.4 150.6 1.4 111.1 1.0 107.1 1.5 137.4 7.0 114.6 1.0 0.77
117.8 0.9 149.9 1.1 110.0 0.0 106.8 1.7 128.4 0.0 114.2 1.0 0.77
117.9 1.3 151.0 1.8 110.0 0.0 107.0 1.9 128.4 0.0 114.6 1.1 0.77
118.1 1.5 151.1 1.6 111.3 1.2 107.0 1.8 128.4 0.0 114.6 1.2 0.77
118.3 1.6 151.0 2.0 111.3 1.2 107.1 1.9 128.4 0.0 114.6 1.1 0.77
118.3 1.5 151.1 2.4 111.3 1.2 107.1 1.9 128.4 0.0 114.6 1.1 0.77
118.4 1.6 151.0 2.2 111.3 1.2 107.1 1.8 143.8 12.0 114.6 1.1 0.77
118.4 1.5 151.2 1.5 111.3 1.2 107.1 1.8 143.8 12.0 114.6 1.1 0.76
118.6 1.7 150.9 1.2 111.3 1.2 107.1 1.8 143.8 12.0 114.6 1.1 0.76
118.6 1.7 150.5 0.8 111.3 1.2 107.3 0.8 143.8 12.0 114.7 1.1 0.76
118.7 1.5 150.3 1.0 111.3 1.2 107.3 0.8 143.8 12.0 114.7 0.8 0.76
118.9 1.2 149.8 0.7 111.3 1.2 107.3 0.8 143.8 12.0 114.7 0.8 0.76
119.1 1.2 149.2 0.1 111.3 1.2 107.3 0.7 143.8 12.0 114.8 0.8 0.76
2 - 38
Table 2.22
2012 - 2017
Furnishings,
Household
Housing, Water,
Maintenance of
the House
Year/
CPI CPI CPI CPI CPI
Abra
2015 131.1 0.5 167.7 2.8 140.0 2.1 112.4 (1.3) 121.7 1.0
Jan 130.6 0.7 166.3 2.8 138.4 2.5 111.8 (1.8) 121.6 1.8
Feb 130.1 0.4 167.0 2.9 138.8 2.6 111.5 (1.8) 121.6 1.6
Mar 130.0 0.7 166.6 2.9 139.7 2.9 111.7 (1.2) 121.7 1.6
Apr 130.1 0.4 166.6 2.4 139.7 2.6 112.0 (1.1) 121.8 1.7
May 130.3 0.4 167.0 2.7 139.7 2.3 112.2 (2.3) 121.8 1.6
June 130.6 0.1 167.3 2.7 139.9 1.7 112.2 (1.6) 121.8 1.5
July 130.7 (0.2) 167.6 2.9 140.3 1.6 111.7 (3.0) 121.8 1.0
Aug 131.9 0.6 168.9 3.2 140.3 1.4 111.9 (2.0) 121.6 0.3
Sept 131.3 0.2 168.1 2.7 140.3 1.4 112.3 (1.7) 121.6 0.2
Oct 131.3 0.2 167.9 2.5 140.4 1.5 113.5 (0.4) 121.7 0.2
Nov 132.7 1.1 169.3 2.9 141.3 2.2 113.7 0.4 121.8 0.2
Dec 133.2 1.8 170.4 2.5 141.5 2.3 113.8 1.0 121.8 0.2
2016 134.3 2.4 176.7 5.4 147.8 5.6 114.3 1.7 123.7 1.6
Jan 133.3 2.1 171.8 3.3 142.8 3.2 114.2 2.1 122.1 0.4
Feb 133.4 2.5 173.0 3.6 143.7 3.5 113.8 2.1 122.0 0.3
Mar 133.1 2.4 173.3 4.0 144.3 3.3 113.8 1.9 123.7 1.6
Apr 133.1 2.3 174.3 4.6 146.9 5.2 113.8 1.6 123.6 1.5
May 133.7 2.6 175.6 5.2 147.0 5.2 114.0 1.6 123.6 1.5
June 133.8 2.5 175.7 5.1 147.8 5.6 114.2 1.8 124.0 1.8
July 134.1 2.6 177.2 5.7 149.3 6.4 114.3 2.3 123.9 1.7
Aug 134.4 1.9 178.4 5.6 150.1 7.0 114.0 1.9 123.9 1.9
Sept 134.9 2.7 179.0 6.5 149.9 6.8 113.8 1.3 124.3 2.2
Oct 135.1 2.9 180.1 7.3 150.7 7.3 114.5 0.9 124.3 2.1
Nov 136.2 2.6 181.5 7.2 150.8 6.7 115.3 1.4 124.4 2.1
Dec 135.9 2.0 181.2 6.3 150.8 6.6 115.6 1.6 124.4 2.1
2017 136.6 1.8 185.4 4.9 151.0 2.1 116.6 2.0 124.6 0.8
Jan 136.3 2.3 182.7 6.3 150.8 5.6 115.9 1.5 124.4 1.9
Feb 135.9 1.9 182.7 5.6 150.8 4.9 116.5 2.4 124.4 2.0
Mar 135.4 1.7 182.2 5.1 150.8 4.5 116.6 2.5 124.5 0.6
Apr 134.8 1.3 181.6 4.2 150.8 2.7 116.5 2.4 124.5 0.7
May 135.0 1.0 182.0 3.6 150.8 2.6 115.9 1.7 124.5 0.7
June 136.0 1.6 183.3 4.3 150.8 2.0 115.6 1.2 124.5 0.4
July 136.5 1.8 185.0 4.4 151.0 1.1 115.5 1.0 124.5 0.5
Aug 136.9 1.9 185.3 3.9 151.0 0.6 116.9 2.5 124.5 0.5
Sept 137.8 2.1 187.7 4.9 151.0 0.7 117.0 2.8 124.7 0.3
Oct 138.3 2.4 190.4 5.7 151.2 0.3 117.4 2.5 124.9 0.5
Nov 138.5 1.7 190.6 5.0 151.2 0.3 117.6 2.0 125.0 0.5
Dec 138.1 1.6 191.2 5.5 151.2 0.3 117.5 1.6 125.1 0.6
2 - 39
Restaurants and
Culture Goods and
Power of
Services
the Peso

119.5 0.9 148.5 (1.4) 111.3 0.2 107.5 0.3 145.1 5.6 115.1 0.4 0.76
119.1 1.1 148.3 (1.1) 111.3 1.2 107.3 0.5 143.8 12.0 114.8 0.5 0.77
119.1 1.0 147.8 (2.1) 111.3 1.2 107.4 0.4 143.8 12.0 114.8 0.2 0.77
119.3 1.0 148.5 (1.7) 111.3 0.0 107.4 0.4 143.8 12.0 114.8 0.2 0.77
119.3 0.8 148.4 (1.7) 111.3 0.0 107.4 0.3 143.8 12.0 114.8 0.2 0.77
119.3 0.8 148.9 (1.5) 111.3 0.0 107.4 0.3 143.8 12.0 115.0 0.3 0.77
119.3 0.8 149.1 (1.3) 111.3 0.0 107.4 0.3 146.0 1.5 115.1 0.4 0.77
119.3 0.8 149.0 (1.5) 111.3 0.0 107.5 0.4 146.0 1.5 115.2 0.5 0.77
119.3 0.6 148.5 (1.6) 111.3 0.0 107.5 0.4 146.0 1.5 115.2 0.5 0.76
119.3 0.6 148.3 (1.5) 111.3 0.0 107.5 0.2 146.0 1.5 115.2 0.4 0.76
120.1 1.2 148.5 (1.2) 111.3 0.0 107.6 0.3 146.0 1.5 115.3 0.5 0.76
120.3 1.2 148.5 (0.9) 111.3 0.0 107.6 0.3 146.0 1.5 115.3 0.5 0.75
120.4 1.1 148.3 (0.6) 111.4 0.1 107.6 0.3 146.0 1.5 115.3 0.4 0.75
123.1 3.0 147.8 (0.5) 111.4 0.1 109.2 1.6 149.7 3.2 119.5 3.8 0.74
121.3 1.8 147.8 (0.3) 111.4 0.1 108.2 0.8 146.0 1.5 117.4 2.3 0.75
122.2 2.6 147.5 (0.2) 111.4 0.1 108.2 0.7 146.0 1.5 119.4 4.0 0.75
122.7 2.8 147.6 (0.6) 111.4 0.1 108.5 1.0 146.0 1.5 119.4 4.0 0.75
123.1 3.2 147.8 (0.4) 111.4 0.1 108.6 1.1 146.0 1.5 119.4 4.0 0.75
123.1 3.2 148.0 (0.6) 111.4 0.1 108.6 1.1 146.0 1.5 119.9 4.3 0.75
123.1 3.2 147.8 (0.9) 111.4 0.1 108.9 1.4 152.4 4.4 119.7 4.0 0.75
123.5 3.5 147.6 (0.9) 111.4 0.1 109.4 1.8 152.4 4.4 119.7 3.9 0.75
123.5 3.5 147.3 (0.8) 111.4 0.1 110.0 2.3 152.4 4.4 119.7 3.9 0.74
123.5 3.5 147.6 (0.5) 111.4 0.1 110.0 2.3 152.4 4.4 119.8 4.0 0.74
123.5 2.8 147.8 (0.5) 111.4 0.1 110.0 2.2 152.4 4.4 119.8 3.9 0.74
123.7 2.8 148.0 (0.3) 111.4 0.1 110.0 2.2 152.4 4.4 119.8 3.9 0.73
123.7 2.7 148.2 (0.1) 111.4 0.0 110.0 2.2 152.4 4.4 119.8 3.9 0.74
124.1 0.8 148.4 0.5 111.4 0.0 111.0 1.7 158.3 5.7 120.5 0.8 0.73
123.8 2.1 148.3 0.3 111.4 0.0 110.2 1.8 152.4 4.4 119.8 2.0 0.73
123.8 1.3 148.4 0.6 111.4 0.0 110.2 1.8 152.4 4.4 120.0 0.5 0.74
123.8 0.9 148.3 0.5 111.4 0.0 110.3 1.7 152.4 4.4 120.0 0.5 0.74
123.9 0.6 148.1 0.2 111.4 0.0 110.3 1.6 152.4 4.4 120.0 0.5 0.74
123.9 0.6 148.2 0.1 111.4 0.0 110.4 1.7 152.4 4.4 120.3 0.3 0.74
123.9 0.6 148.1 0.2 111.4 0.0 110.6 1.6 162.5 6.6 120.4 0.6 0.74
123.9 0.3 147.9 0.2 111.4 0.0 110.6 1.1 162.5 6.6 120.4 0.6 0.73
124.1 0.5 148.3 0.7 111.4 0.0 111.9 1.7 162.5 6.6 120.5 0.7 0.73
124.4 0.7 148.6 0.7 111.4 0.0 111.9 1.7 162.5 6.6 121.0 1.0 0.73
124.4 0.7 148.9 0.7 111.4 0.0 111.9 1.7 162.5 6.6 121.0 1.0 0.72
124.4 0.6 149.0 0.7 111.4 0.0 111.9 1.7 162.5 6.6 121.0 1.0 0.72
124.4 0.6 149.2 0.7 111.4 0.0 112.1 1.9 162.5 6.6 121.2 1.2 0.72
2 - 40
Table 2.22
2012 - 2017
Furnishings,
Household
Housing, Water,
Maintenance of
the House
Year/
CPI CPI CPI CPI CPI
Apayao
2012 119.1 3.8 124.5 4.7 110.1 2.7 105.6 6.3 104.0 0.9
Jan 116.4 2.8 121.4 4.3 107.2 0.2 101.2 4.3 103.1 0.0
Feb 116.1 2.3 121.1 2.9 107.2 0.1 101.0 4.6 103.1 0.0
Mar 116.7 1.7 121.3 1.9 107.2 0.0 102.4 5.1 103.1 0.0
Apr 118.9 3.8 122.8 4.0 108.3 1.0 106.5 6.0 103.5 0.4
May 120.0 4.7 124.9 5.8 108.3 1.0 109.4 8.7 103.7 0.6
June 119.4 3.6 125.2 5.1 108.3 1.0 106.2 4.3 103.7 0.6
July 119.0 3.5 125.2 5.0 111.7 4.2 105.1 5.0 104.6 1.5
Aug 119.7 4.1 125.4 5.4 111.9 4.4 107.8 6.6 104.6 1.5
Sept 120.2 5.0 125.8 5.8 112.4 4.9 108.2 9.1 104.7 1.6
Oct 120.6 5.0 126.4 5.8 112.4 4.9 107.2 8.4 104.6 1.5
Nov 120.9 4.7 126.7 5.2 113.0 5.4 106.7 8.1 104.6 1.5
Dec 121.1 4.1 127.6 5.2 113.1 5.5 105.8 5.1 104.7 1.6
2013 123.2 3.4 146.2 17.5 113.3 2.9 105.3 (0.3) 105.7 1.6
Jan 121.7 4.6 141.1 16.2 113.1 5.5 106.3 5.0 104.6 1.5
Feb 121.5 4.7 141.4 16.8 113.1 5.5 105.2 4.2 104.5 1.4
Mar 121.5 4.1 142.0 17.1 113.0 5.4 105.1 2.6 104.9 1.7
Apr 122.3 2.9 144.5 17.7 113.0 4.3 105.1 (1.3) 105.7 2.1
May 122.2 1.8 144.6 15.8 113.0 4.3 105.4 (3.7) 105.7 1.9
June 122.6 2.7 146.1 16.7 113.0 4.3 105.9 (0.3) 105.7 1.9
July 123.1 3.4 146.7 17.2 113.0 1.2 105.4 0.3 105.7 1.1
Aug 123.4 3.1 147.0 17.3 113.0 1.0 105.3 (2.3) 105.7 1.1
Sept 124.8 3.8 149.5 18.8 113.8 1.2 105.3 (2.7) 106.4 1.6
Oct 124.9 3.6 150.1 18.8 113.8 1.2 105.3 (1.8) 106.4 1.7
Nov 125.1 3.5 150.8 19.0 113.8 0.7 104.7 (1.9) 106.4 1.7
Dec 125.2 3.4 150.9 18.2 113.8 0.6 104.9 (0.9) 106.1 1.3
2014 128.7 4.5 163.0 11.5 114.1 0.7 105.9 0.5 111.3 5.3
Jan 126.2 3.7 156.1 10.6 113.8 0.6 106.4 0.1 106.1 1.4
Feb 126.4 4.0 156.3 10.5 113.8 0.6 106.4 1.1 106.1 1.5
Mar 127.7 5.1 163.0 14.8 113.8 0.7 106.7 1.5 110.4 5.2
Apr 127.8 4.5 163.1 12.8 113.8 0.7 106.7 1.5 110.6 4.6
May 128.2 4.9 163.4 13.0 113.8 0.7 106.7 1.2 110.6 4.6
June 127.7 4.2 163.2 11.7 113.8 0.7 105.8 (0.1) 111.9 5.9
July 130.4 5.9 165.0 12.5 114.1 1.0 106.0 0.6 113.0 6.9
Aug 130.1 5.4 165.1 12.3 114.1 1.0 105.1 (0.2) 113.2 7.1
Sept 130.3 4.4 165.3 10.6 114.3 0.4 105.8 0.5 113.4 6.6
Oct 130.1 4.2 165.5 10.3 114.6 0.7 104.9 (0.4) 113.4 6.6
Nov 130.2 4.1 165.4 9.6 114.9 1.0 105.7 1.0 113.4 6.6
Dec 129.6 3.5 165.3 9.6 114.7 0.8 104.5 (0.4) 113.4 6.9
2 - 41
Restaurants and
Culture Goods and
Power of
Services
the Peso

106.7 0.7 118.2 (0.2) 77.7 0.0 107.4 3.3 120.0 0.5 116.2 2.5 0.84
106.0 0.1 119.2 2.1 77.7 0.0 104.0 0.2 120.0 1.0 113.5 0.2 0.86
106.0 0.1 119.6 2.3 77.7 0.0 104.0 0.2 120.0 1.0 113.5 0.2 0.86
106.0 0.1 119.5 1.7 77.7 0.0 105.5 1.6 120.0 1.0 113.5 0.1 0.86
106.1 0.1 117.7 (0.4) 77.7 0.0 106.1 2.2 120.0 1.0 113.5 0.1 0.84
106.1 0.1 117.9 (0.2) 77.7 0.0 106.1 2.2 120.0 1.0 113.5 0.1 0.83
106.1 0.1 117.1 (0.7) 77.7 0.0 106.1 2.2 120.0 1.0 113.5 0.0 0.84
107.5 1.4 117.6 (1.3) 77.7 0.0 109.3 5.1 120.0 0.0 116.2 2.4 0.84
107.4 1.3 117.7 (1.3) 77.7 0.0 109.3 5.1 120.0 0.0 116.2 2.4 0.84
107.4 1.3 118.2 (1.0) 77.7 0.0 109.3 5.1 120.0 0.0 117.3 3.3 0.83
107.4 1.3 118.3 (0.9) 77.7 0.0 109.3 5.1 120.0 0.0 120.3 6.0 0.83
107.4 1.3 118.0 (1.0) 77.7 0.0 109.5 5.3 120.0 0.0 121.6 7.1 0.83
107.4 1.3 117.9 (1.1) 77.7 0.0 109.7 5.5 120.0 0.0 122.3 7.8 0.83
107.5 0.7 117.6 (0.5) 77.7 0.0 112.5 4.8 120.0 0.0 123.0 5.8 0.81
107.4 1.3 117.7 (1.3) 77.7 0.0 111.2 6.9 120.0 0.0 122.3 7.8 0.82
107.5 1.4 117.4 (1.8) 77.7 0.0 111.2 6.9 120.0 0.0 122.5 7.9 0.82
107.5 1.4 118.1 (1.2) 77.7 0.0 111.4 5.6 120.0 0.0 122.6 8.0 0.82
107.5 1.3 117.7 0.0 77.7 0.0 111.9 5.5 120.0 0.0 123.0 8.4 0.82
107.5 1.3 117.0 (0.8) 77.7 0.0 111.9 5.5 120.0 0.0 123.1 8.5 0.82
107.5 1.3 117.4 0.3 77.7 0.0 113.1 6.6 120.0 0.0 123.2 8.5 0.82
107.5 0.0 117.4 (0.2) 77.7 0.0 113.1 3.5 120.0 0.0 123.1 5.9 0.81
107.5 0.1 117.8 0.1 77.7 0.0 113.1 3.5 120.0 0.0 123.1 5.9 0.81
107.5 0.1 117.9 (0.3) 77.7 0.0 113.1 3.5 120.0 0.0 123.3 5.1 0.80
107.5 0.1 117.7 (0.5) 77.7 0.0 113.1 3.5 120.0 0.0 123.1 2.3 0.80
107.5 0.1 117.8 (0.2) 77.7 0.0 113.4 3.6 120.0 0.0 123.5 1.6 0.80
107.5 0.1 117.8 (0.1) 77.7 0.0 113.4 3.4 120.0 0.0 123.5 1.0 0.80
109.3 1.7 118.0 0.3 77.7 0.0 114.5 1.8 130.5 8.7 125.9 2.4 0.78
107.5 0.1 117.8 0.1 77.7 0.0 113.4 2.0 120.0 0.0 123.7 1.1 0.79
107.5 0.0 118.5 0.9 77.7 0.0 113.4 2.0 120.0 0.0 123.5 0.8 0.79
109.6 2.0 118.3 0.2 77.7 0.0 114.7 3.0 120.0 0.0 125.5 2.4 0.78
109.6 2.0 118.3 0.5 77.7 0.0 114.7 2.5 120.0 0.0 125.9 2.4 0.78
109.6 2.0 118.7 1.5 77.7 0.0 114.7 2.5 120.0 0.0 126.1 2.4 0.78
109.6 2.0 118.2 0.7 77.7 0.0 114.7 1.4 120.0 0.0 126.2 2.4 0.78
109.6 2.0 118.5 0.9 77.7 0.0 114.7 1.4 140.9 17.4 126.7 2.9 0.77
109.7 2.0 118.3 0.4 77.7 0.0 114.7 1.4 140.9 17.4 126.7 2.9 0.77
109.8 2.1 117.9 0.0 77.7 0.0 114.7 1.4 140.9 17.4 126.7 2.8 0.77
109.8 2.1 117.9 0.2 77.7 0.0 114.7 1.4 140.9 17.4 126.7 2.9 0.77
109.8 2.1 117.3 (0.4) 77.7 0.0 114.7 1.1 140.9 17.4 126.7 2.6 0.77
109.8 2.1 116.3 (1.3) 77.7 0.0 114.7 1.1 140.9 17.4 126.7 2.6 0.77
2 - 42
Table 2.22
2012 - 2017
Furnishings,
Household
Housing, Water,
Maintenance of
the House
Year/
CPI CPI CPI CPI CPI
Apayao
2015 130.1 1.1 168.0 3.1 115.6 1.3 103.6 (2.2) 113.5 2.0
Jan 129.7 2.8 165.8 6.2 114.7 0.8 105.0 (1.3) 113.4 6.9
Feb 129.8 2.7 166.4 6.5 115.3 1.3 103.7 (2.5) 113.4 6.9
Mar 130.2 2.0 166.5 2.1 115.6 1.6 104.9 (1.7) 113.4 2.7
Apr 130.0 1.7 166.2 1.9 115.6 1.6 105.0 (1.6) 113.4 2.5
May 129.5 1.0 166.1 1.7 115.8 1.8 103.4 (3.1) 113.6 2.7
June 129.6 1.5 166.1 1.8 115.8 1.8 103.5 (2.2) 113.6 1.5
July 129.4 (0.8) 167.3 1.4 115.8 1.5 102.2 (3.6) 113.6 0.5
Aug 130.0 (0.1) 168.7 2.2 115.8 1.5 102.8 (2.2) 113.6 0.4
Sept 130.5 0.2 169.1 2.3 115.8 1.3 103.5 (2.2) 113.6 0.2
Oct 130.7 0.5 169.7 2.6 115.8 1.0 102.9 (1.9) 113.6 0.2
Nov 130.8 0.5 170.0 2.8 115.7 0.7 103.0 (2.6) 113.6 0.2
Dec 131.3 1.3 174.6 5.6 115.7 0.9 103.0 (1.4) 113.6 0.2
2016 131.6 1.1 183.7 9.3 117.6 1.7 101.2 (2.3) 114.5 0.9
Jan 131.5 1.4 175.7 5.9 116.4 1.5 102.8 (2.1) 113.7 0.3
Feb 132.3 1.9 183.8 10.5 116.9 1.4 102.3 (1.4) 114.1 0.6
Mar 132.1 1.5 184.2 10.6 117.3 1.5 101.7 (3.1) 114.1 0.6
Apr 131.4 1.1 184.6 11.0 117.6 1.7 101.5 (3.3) 114.3 0.8
May 130.6 0.8 183.9 10.7 117.8 1.7 100.8 (2.5) 114.4 0.7
June 131.1 1.2 184.3 10.9 117.9 1.8 100.7 (2.7) 114.7 1.0
July 131.2 1.4 184.3 10.2 117.9 1.8 100.8 (1.4) 114.8 1.1
Aug 131.2 0.9 184.4 9.3 117.9 1.8 100.7 (2.0) 114.8 1.1
Sept 131.2 0.5 184.3 9.0 117.9 1.8 100.6 (2.8) 114.8 1.1
Oct 131.4 0.5 184.5 8.7 117.9 1.8 100.6 (2.2) 114.8 1.1
Nov 132.2 1.1 185.4 9.0 117.9 1.9 100.8 (2.1) 114.8 1.1
Dec 132.4 0.8 185.5 6.3 117.9 1.9 100.7 (2.2) 114.8 1.1
2017 132.3 0.6 188.0 2.3 119.1 1.2 100.3 (0.9) 116.3 1.6
Jan 132.3 0.6 185.4 5.6 117.9 1.3 100.8 (1.9) 114.8 1.0
Feb 132.0 (0.2) 185.1 0.7 117.9 0.9 100.9 (1.4) 114.8 0.6
Mar 132.0 (0.1) 185.2 0.6 117.9 0.5 100.2 (1.5) 114.8 0.6
Apr 131.9 0.4 185.8 0.7 118.1 0.4 100.2 (1.3) 114.8 0.4
May 132.2 1.2 186.7 1.6 118.1 0.3 100.1 (0.7) 114.9 0.4
June 132.0 0.7 188.4 2.3 118.3 0.3 100.1 (0.6) 115.0 0.3
July 131.9 0.5 188.4 2.2 118.3 0.3 100.1 (0.7) 115.0 0.2
Aug 131.8 0.5 188.3 2.1 119.0 0.9 100.1 (0.6) 115.1 0.3
Sept 131.9 0.5 188.6 2.3 119.0 0.9 100.1 (0.5) 115.4 0.5
Oct 132.6 0.9 189.6 2.8 121.2 2.8 100.3 (0.3) 120.3 4.8
Nov 133.5 1.0 190.8 2.9 121.4 3.0 100.3 (0.5) 120.4 4.9
Dec 134.0 1.2 193.3 4.2 121.7 3.2 100.3 (0.4) 120.6 5.1
2 - 43
Restaurants and
Culture Goods and
Power of
Services
the Peso

109.8 0.4 114.7 (2.8) 77.7 0.0 115.5 0.9 140.9 8.0 131.8 4.6 0.77
109.8 2.1 114.6 (2.7) 77.7 0.0 114.7 1.1 140.9 17.4 126.8 2.5 0.77
109.8 2.1 114.3 (3.5) 77.7 0.0 115.0 1.4 140.9 17.4 129.6 4.9 0.77
109.7 0.1 114.9 (2.9) 77.7 0.0 115.6 0.8 140.9 17.4 132.3 5.4 0.77
109.7 0.1 114.7 (3.0) 77.7 0.0 115.6 0.8 140.9 17.4 132.3 5.1 0.77
109.7 0.1 115.0 (3.1) 77.7 0.0 115.6 0.8 140.9 17.4 132.4 5.0 0.77
109.7 0.1 115.4 (2.4) 77.7 0.0 115.6 0.8 140.9 17.4 132.4 4.9 0.77
109.7 0.1 115.3 (2.7) 77.7 0.0 115.6 0.8 140.9 0.0 132.5 4.6 0.77
109.7 0.0 114.7 (3.0) 77.7 0.0 115.6 0.8 140.9 0.0 132.5 4.6 0.77
109.9 0.1 114.3 (3.1) 77.7 0.0 115.6 0.8 140.9 0.0 132.6 4.7 0.77
109.9 0.1 114.4 (3.0) 77.7 0.0 115.6 0.8 140.9 0.0 132.6 4.7 0.77
110.0 0.2 114.4 (2.5) 77.7 0.0 115.6 0.8 140.9 0.0 132.6 4.7 0.76
110.0 0.2 114.7 (1.4) 77.7 0.0 115.6 0.8 140.9 0.0 132.6 4.7 0.76
110.7 0.8 114.2 (0.5) 77.8 0.2 116.5 0.9 141.7 0.5 133.1 1.0 0.76
110.0 0.2 114.1 (0.4) 77.7 0.0 116.0 1.1 140.9 0.0 133.2 5.0 0.76
110.5 0.6 113.2 (1.0) 77.7 0.0 116.0 0.9 140.9 0.0 133.1 2.7 0.76
110.5 0.7 113.3 (1.4) 77.7 0.0 116.0 0.3 140.9 0.0 133.0 0.5 0.76
110.6 0.8 113.8 (0.8) 77.7 0.0 116.0 0.3 140.9 0.0 133.0 0.5 0.76
110.6 0.8 113.9 (1.0) 77.7 0.0 116.2 0.5 140.9 0.0 133.1 0.5 0.77
110.6 0.8 114.5 (0.8) 77.9 0.3 116.2 0.5 142.2 0.9 133.1 0.5 0.76
110.6 0.8 114.5 (0.7) 77.9 0.3 116.6 0.9 142.2 0.9 133.1 0.5 0.76
110.7 0.9 114.1 (0.5) 77.9 0.3 116.6 0.9 142.2 0.9 133.1 0.5 0.76
110.9 0.9 114.3 0.0 77.9 0.3 116.9 1.1 142.2 0.9 133.1 0.4 0.76
110.9 0.9 114.4 0.0 77.9 0.3 116.9 1.1 142.2 0.9 133.1 0.4 0.76
111.1 1.0 114.7 0.3 77.9 0.3 117.0 1.2 142.2 0.9 133.1 0.4 0.76
111.1 1.0 115.5 0.7 77.9 0.3 117.4 1.6 142.2 0.9 133.1 0.4 0.76
112.3 1.4 115.3 1.0 78.3 0.6 117.7 1.0 142.2 0.4 133.7 0.5 0.76
111.1 1.0 114.8 0.6 78.1 0.5 117.4 1.2 142.2 0.9 133.1 (0.1) 0.76
111.1 0.5 115.0 1.6 78.1 0.5 117.4 1.2 142.2 0.9 133.1 0.0 0.76
111.1 0.5 114.8 1.3 78.1 0.5 117.4 1.2 142.2 0.9 133.1 0.1 0.76
111.1 0.5 114.9 1.0 78.1 0.5 117.4 1.2 142.2 0.9 133.3 0.2 0.76
111.6 0.9 115.1 1.1 78.1 0.5 117.4 1.0 142.2 0.9 133.3 0.2 0.76
111.6 0.9 115.3 0.7 78.1 0.3 117.5 1.1 142.2 0.0 133.4 0.2 0.76
111.8 1.1 115.5 0.9 78.1 0.3 117.5 0.8 142.2 0.0 133.6 0.4 0.76
112.0 1.2 115.6 1.3 78.3 0.5 117.5 0.8 142.2 0.0 133.6 0.4 0.76
113.1 2.0 115.8 1.3 78.3 0.5 117.5 0.5 142.2 0.0 133.6 0.4 0.76
113.6 2.4 115.8 1.2 78.6 0.9 118.3 1.2 142.2 0.0 134.6 1.1 0.75
113.9 2.5 115.7 0.9 78.6 0.9 118.4 1.2 142.2 0.0 134.7 1.2 0.75
115.0 3.5 115.8 0.3 78.6 0.9 118.4 0.9 142.2 0.0 135.0 1.4 0.75
2 - 44
Table 2.22
2012 - 2017
Furnishings,
Household
Housing, Water,
Maintenance of
the House
Year/
CPI CPI CPI CPI CPI
Benguet
2012 130.1 3.6 139.3 3.7 112.8 1.3 128.1 6.1 120.0 1.6
Jan 126.8 1.6 135.7 1.9 111.3 0.0 121.7 1.4 118.9 1.8
Feb 126.7 1.4 135.5 0.9 111.3 0.0 121.7 1.2 118.9 1.7
Mar 127.5 2.5 135.1 1.3 111.3 0.0 126.7 5.3 119.0 1.8
Apr 127.2 1.8 136.2 2.0 111.4 0.1 121.8 1.2 119.2 2.0
May 127.9 2.2 137.0 2.5 111.9 0.5 122.8 1.8 119.4 1.3
June 130.2 3.7 138.3 3.3 112.8 1.3 130.5 7.7 120.3 1.2
July 130.8 4.1 140.5 4.9 113.0 1.5 130.1 6.9 120.4 1.3
Aug 132.5 5.7 142.1 6.1 113.5 2.0 132.8 9.9 120.6 1.4
Sept 132.4 5.2 142.8 6.2 113.7 2.2 130.5 8.1 120.7 1.5
Oct 133.0 5.1 143.2 5.7 114.0 2.4 132.1 9.4 120.8 1.6
Nov 133.1 4.9 142.8 5.2 114.0 2.4 133.5 9.8 120.8 1.6
Dec 132.8 4.8 142.3 4.9 114.8 3.1 133.3 10.0 120.9 1.7
2013 134.0 3.0 163.5 17.4 116.9 3.7 133.2 4.0 124.3 3.6
Jan 132.8 4.7 145.3 7.1 116.1 4.3 134.1 10.2 121.2 1.9
Feb 133.2 5.1 162.8 20.1 116.0 4.2 132.3 8.7 121.4 2.1
Mar 133.7 4.9 164.4 21.7 116.0 4.2 134.2 5.9 121.4 2.0
Apr 133.5 5.0 164.4 20.7 116.3 4.4 133.3 9.4 121.5 1.9
May 133.5 4.4 164.7 20.2 116.6 4.2 132.8 8.1 121.5 1.8
June 133.6 2.6 164.8 19.2 116.8 3.5 132.6 1.6 123.4 2.6
July 133.7 2.2 164.7 17.2 117.0 3.5 132.6 1.9 125.5 4.2
Aug 133.9 1.1 164.9 16.1 117.1 3.2 132.8 0.0 125.6 4.1
Sept 134.3 1.4 165.8 16.1 117.0 2.9 132.4 1.5 125.8 4.2
Oct 135.0 1.5 166.5 16.2 117.3 2.9 133.7 1.2 126.0 4.3
Nov 134.8 1.3 166.4 16.6 118.1 3.6 131.7 (1.3) 128.0 6.0
Dec 136.5 2.8 167.2 17.5 118.2 3.0 136.3 2.3 129.9 7.4
2014 139.6 4.1 171.3 4.8 121.1 3.6 141.2 6.0 131.0 5.4
Jan 136.6 2.9 168.3 15.8 118.6 2.2 134.8 0.5 130.0 7.3
Feb 136.5 2.5 168.5 3.5 119.3 2.8 133.5 0.9 130.5 7.5
Mar 136.0 1.7 169.7 3.3 119.5 3.0 133.2 (0.7) 130.6 7.6
Apr 136.1 1.9 169.6 3.1 119.8 3.0 133.8 0.4 130.6 7.5
May 138.2 3.5 169.6 3.0 120.2 3.1 142.9 7.6 131.0 7.8
June 139.1 4.1 170.3 3.3 120.9 3.5 142.8 7.7 131.1 6.2
July 140.9 5.4 171.7 4.3 121.5 3.8 145.0 9.4 131.1 4.5
Aug 141.9 6.0 172.5 4.6 122.0 4.2 146.8 10.5 131.3 4.5
Sept 142.6 6.2 173.4 4.6 122.1 4.4 146.7 10.8 131.3 4.4
Oct 142.7 5.7 173.9 4.5 122.7 4.6 145.9 9.1 131.4 4.3
Nov 142.8 5.9 174.6 4.9 123.0 4.1 145.8 10.7 131.5 2.7
Dec 141.8 3.9 174.2 4.2 123.0 4.1 143.6 5.4 131.5 1.2
2 - 45
Restaurants and
Culture Goods and
Power of
Services
the Peso

130.3 1.4 128.0 0.7 80.3 (0.5) 100.9 0.7 126.2 1.1 114.3 0.7 0.77
128.9 1.2 127.7 4.2 80.6 (0.1) 100.1 (0.1) 126.2 2.7 113.7 0.3 0.79
128.9 1.2 127.8 3.3 80.6 (0.1) 100.1 (0.1) 126.2 2.7 113.7 0.2 0.79
128.9 0.9 128.4 3.0 80.6 (0.1) 100.3 0.1 126.2 2.7 113.7 0.2 0.78
129.3 0.5 128.3 (0.6) 80.6 (0.1) 100.1 (0.2) 126.2 2.7 113.8 0.3 0.79
130.2 1.2 128.2 (0.9) 80.6 (0.1) 100.2 (0.1) 126.2 2.7 114.0 0.4 0.78
130.8 1.6 127.5 (0.7) 80.6 (0.1) 100.4 0.1 126.2 0.0 114.2 0.6 0.77
130.9 1.7 126.5 (1.2) 80.6 (0.1) 100.8 0.5 126.2 0.0 114.2 0.6 0.76
130.7 1.6 128.0 0.0 79.8 (1.1) 101.8 1.5 126.2 0.0 114.3 0.7 0.75
130.8 1.6 128.6 0.1 79.8 (1.0) 101.8 1.7 126.2 0.0 114.4 0.7 0.76
131.0 1.7 128.3 0.4 79.8 (1.0) 101.8 1.7 126.2 0.0 114.5 0.8 0.75
131.2 1.9 128.3 0.3 79.8 (1.0) 101.8 1.7 126.2 0.0 115.2 1.4 0.75
131.4 1.9 128.3 0.5 79.8 (1.0) 101.9 1.8 126.2 0.0 116.0 2.0 0.75
132.7 1.9 129.1 0.9 79.8 (0.6) 103.5 2.5 129.0 2.3 118.4 3.5 0.75
131.4 1.9 128.4 0.5 79.8 (1.0) 102.0 1.9 126.2 0.0 116.1 2.1 0.75
132.1 2.5 128.9 0.9 79.8 (1.0) 102.0 1.9 126.2 0.0 116.2 2.2 0.75
132.2 2.6 128.9 0.4 79.8 (1.0) 102.1 1.8 126.2 0.0 116.9 2.8 0.75
132.6 2.6 128.7 0.3 79.8 (1.0) 102.1 2.0 126.2 0.0 117.0 2.8 0.75
132.7 1.9 128.6 0.3 79.8 (1.0) 102.9 2.7 126.2 0.0 118.6 4.0 0.75
132.7 1.5 128.9 1.1 79.8 (1.0) 104.3 3.9 126.7 0.4 118.8 4.0 0.75
132.9 1.5 129.1 2.1 79.8 (1.0) 104.4 3.6 131.8 4.4 118.8 4.0 0.75
132.9 1.7 129.3 1.0 79.8 0.0 104.4 2.6 131.8 4.4 118.8 3.9 0.75
133.1 1.8 129.9 1.0 79.8 0.0 104.4 2.6 131.8 4.4 118.8 3.8 0.74
133.1 1.6 129.3 0.8 79.8 0.0 104.4 2.6 131.8 4.4 118.8 3.8 0.74
133.4 1.7 129.6 1.0 79.8 0.0 104.4 2.6 131.8 4.4 120.7 4.8 0.74
133.4 1.5 129.9 1.2 79.8 0.0 104.4 2.5 131.8 4.4 120.8 4.1 0.73
134.7 1.5 129.6 0.4 79.9 0.2 104.5 0.9 135.6 5.1 122.9 3.8 0.72
133.5 1.6 130.1 1.3 79.8 0.0 104.5 2.5 131.8 4.4 120.8 4.0 0.73
134.2 1.6 130.2 1.0 80.0 0.3 104.4 2.4 131.8 4.4 120.9 4.0 0.73
134.3 1.6 130.3 1.1 80.0 0.3 104.4 2.3 131.8 4.4 121.0 3.5 0.74
134.5 1.4 130.2 1.2 80.0 0.3 104.4 2.3 131.8 4.4 121.0 3.4 0.73
134.7 1.5 130.2 1.2 80.0 0.3 104.4 1.5 131.8 4.4 121.0 2.0 0.72
134.8 1.6 130.1 0.9 80.0 0.3 104.4 0.1 138.3 9.2 122.2 2.9 0.72
134.9 1.5 130.3 0.9 80.0 0.3 104.4 0.0 138.3 4.9 123.5 4.0 0.71
134.9 1.5 129.6 0.2 79.9 0.1 104.4 0.0 138.3 4.9 124.8 5.1 0.70
134.9 1.4 129.4 (0.4) 79.9 0.1 104.5 0.1 138.3 4.9 124.8 5.1 0.70
135.0 1.4 129.3 0.0 79.9 0.1 104.6 0.2 138.3 4.9 124.9 5.1 0.70
135.1 1.3 128.4 (0.9) 79.9 0.1 104.6 0.2 138.3 4.9 124.9 3.5 0.70
135.2 1.3 127.3 (2.0) 79.9 0.1 104.5 0.1 138.3 4.9 124.9 3.4 0.71
2 - 46
Table 2.22
2012 - 2017
Furnishings,
Household
Housing, Water,
Maintenance of
the House
Year/
CPI CPI CPI CPI CPI
Benguet
2015 142.0 1.7 174.8 2.0 124.0 2.4 143.0 1.3 131.7 0.5
Jan 141.3 3.4 174.1 3.4 123.2 3.9 142.6 5.8 131.5 1.2
Feb 141.1 3.4 173.8 3.1 123.3 3.4 142.5 6.7 131.5 0.8
Mar 141.2 3.8 173.4 2.2 123.3 3.2 143.7 7.9 131.5 0.7
Apr 141.5 4.0 173.8 2.5 123.7 3.3 143.9 7.5 131.5 0.7
May 140.8 1.9 173.3 2.2 123.7 2.9 142.5 (0.3) 131.6 0.5
June 141.4 1.7 173.5 1.9 123.7 2.3 143.5 0.5 131.7 0.5
July 141.5 0.4 173.9 1.3 124.1 2.1 142.9 (1.4) 131.7 0.5
Aug 142.6 0.5 175.2 1.6 124.2 1.8 142.7 (2.8) 131.8 0.4
Sept 142.9 0.2 175.7 1.3 124.2 1.7 142.3 (3.0) 131.8 0.4
Oct 142.7 0.0 175.7 1.0 124.4 1.4 143.1 (1.9) 131.8 0.3
Nov 143.3 0.4 177.3 1.6 124.7 1.4 143.4 (1.6) 131.8 0.2
Dec 143.2 1.0 178.0 2.2 125.1 1.7 143.3 (0.2) 131.9 0.3
2016 143.3 0.9 178.6 2.2 127.0 2.5 140.7 (1.6) 133.6 1.4
Jan 142.9 1.1 174.6 0.3 125.0 1.5 141.9 (0.5) 133.6 1.6
Feb 142.2 0.8 175.7 1.1 125.3 1.6 141.5 (0.7) 133.6 1.6
Mar 142.3 0.8 176.5 1.8 125.5 1.8 139.7 (2.8) 133.6 1.6
Apr 142.4 0.6 176.6 1.6 126.2 2.0 142.0 (1.3) 133.6 1.6
May 142.1 0.9 177.1 2.2 126.3 2.1 142.2 (0.2) 133.5 1.4
June 143.2 1.3 177.9 2.5 127.4 3.0 141.9 (1.1) 133.5 1.4
July 144.3 2.0 179.0 2.9 127.5 2.7 142.7 (0.1) 133.5 1.4
Aug 141.9 (0.5) 178.6 1.9 127.5 2.7 139.3 (2.4) 133.5 1.3
Sept 143.7 0.6 179.7 2.2 127.5 2.7 140.4 (1.3) 133.5 1.3
Oct 144.0 0.9 180.5 2.7 127.6 2.6 140.0 (2.2) 133.5 1.3
Nov 145.4 1.5 183.5 3.5 128.7 3.2 139.0 (3.1) 133.7 1.4
Dec 145.2 1.4 183.2 3.0 129.8 3.8 138.0 (3.7) 133.6 1.3
2017 145.3 1.4 190.2 6.5 133.1 4.8 143.1 1.7 134.0 0.3
Jan 144.3 1.0 185.9 6.5 130.6 4.5 140.3 (1.1) 133.6 0.0
Feb 144.7 1.8 187.8 6.9 131.6 5.0 142.8 0.9 133.8 0.1
Mar 144.4 1.5 187.5 6.2 132.1 5.3 144.4 3.4 133.8 0.1
Apr 143.7 0.9 187.0 5.9 132.6 5.1 143.2 0.8 133.8 0.1
May 143.9 1.3 188.4 6.4 132.7 5.1 142.3 0.1 133.8 0.2
June 144.7 1.0 189.7 6.6 132.7 4.2 142.9 0.7 133.9 0.3
July 144.1 (0.1) 189.7 6.0 133.3 4.5 143.3 0.4 134.1 0.4
Aug 145.0 2.2 191.2 7.1 133.4 4.6 142.8 2.5 134.1 0.4
Sept 145.6 1.3 192.0 6.8 133.8 4.9 143.1 1.9 134.1 0.4
Oct 146.9 2.0 193.6 7.2 134.3 5.3 143.3 2.4 134.1 0.4
Nov 148.0 1.8 194.7 6.1 134.4 4.4 144.2 3.7 134.1 0.3
Dec 148.1 2.0 195.0 6.4 135.6 4.5 144.1 4.4 134.2 0.4
2 - 47
Restaurants and
Culture Goods and
Power of
Services
the Peso

135.6 0.7 127.3 (1.8) 79.9 (0.1) 104.6 0.2 142.4 5.0 124.9 1.6 0.70
135.2 1.3 125.8 (3.3) 79.9 0.1 104.5 0.0 138.3 4.9 124.9 3.4 0.71
135.2 0.7 126.7 (2.7) 79.9 (0.1) 104.5 0.1 138.3 4.9 124.9 3.3 0.71
135.3 0.7 127.3 (2.3) 79.9 (0.1) 104.5 0.1 138.3 4.9 124.9 3.2 0.71
135.5 0.7 127.3 (2.2) 79.9 (0.1) 104.5 0.1 138.3 4.9 124.9 3.2 0.71
135.5 0.6 127.6 (2.0) 79.9 (0.1) 104.5 0.1 138.3 4.9 124.9 3.2 0.71
135.5 0.5 128.0 (1.6) 79.9 (0.1) 104.7 0.3 141.1 2.0 124.9 2.2 0.71
135.6 0.5 128.0 (1.8) 79.8 (0.3) 104.7 0.3 141.1 2.0 124.9 1.1 0.71
135.7 0.6 127.3 (1.8) 79.8 (0.1) 104.7 0.3 146.9 6.2 124.9 0.1 0.70
135.7 0.6 127.4 (1.5) 79.8 (0.1) 104.7 0.2 146.9 6.2 124.9 0.1 0.70
135.7 0.5 127.5 (1.4) 79.8 (0.1) 104.7 0.1 146.9 6.2 124.9 0.0 0.70
135.9 0.6 127.2 (0.9) 79.8 (0.1) 104.7 0.1 146.9 6.2 125.0 0.1 0.70
136.1 0.7 127.1 (0.2) 79.8 (0.1) 104.7 0.2 146.9 6.2 125.0 0.1 0.70
137.6 1.5 127.9 0.5 79.8 (0.1) 105.6 0.9 147.1 3.4 125.2 0.2 0.70
136.7 1.1 126.8 0.8 79.8 (0.1) 105.2 0.7 146.9 6.2 124.9 0.0 0.70
137.3 1.6 126.1 (0.5) 79.8 (0.1) 105.3 0.8 146.9 6.2 124.9 0.0 0.70
137.2 1.4 128.1 0.6 79.8 (0.1) 105.3 0.8 146.9 6.2 124.9 0.0 0.70
137.5 1.5 126.8 (0.4) 79.8 (0.1) 105.3 0.8 146.9 6.2 124.9 0.0 0.70
137.5 1.5 127.6 0.0 79.8 (0.1) 105.4 0.9 146.9 6.2 124.9 0.0 0.70
137.6 1.5 128.5 0.4 79.8 (0.1) 105.5 0.8 147.3 4.4 124.9 0.0 0.70
137.6 1.5 127.8 (0.2) 79.8 0.0 105.5 0.8 147.3 4.4 124.9 0.0 0.69
137.6 1.4 127.2 (0.1) 79.8 0.0 105.5 0.8 147.3 0.3 125.1 0.2 0.70
137.7 1.5 127.7 0.2 79.8 0.0 105.5 0.8 147.3 0.3 125.3 0.3 0.70
137.7 1.5 128.7 0.9 79.8 0.0 106.0 1.2 147.3 0.3 125.3 0.3 0.69
138.1 1.6 129.5 1.8 79.8 0.0 106.3 1.5 147.3 0.3 125.3 0.2 0.69
138.2 1.5 130.3 2.5 79.9 0.1 106.3 1.5 147.3 0.3 127.1 1.7 0.69
138.6 0.8 131.4 2.7 79.9 0.1 106.5 0.8 148.4 0.9 127.3 1.7 0.69
138.4 1.2 131.4 3.6 79.9 0.1 106.4 1.1 147.3 0.3 127.1 1.8 0.69
138.4 0.8 130.3 3.3 79.9 0.1 106.4 1.0 147.3 0.3 127.2 1.8 0.69
138.5 0.9 132.2 3.2 79.9 0.1 106.4 1.0 147.3 0.3 127.2 1.8 0.69
138.5 0.7 132.5 4.5 79.9 0.1 106.4 1.0 147.3 0.3 127.2 1.8 0.70
138.6 0.8 132.0 3.4 79.9 0.1 106.4 0.9 147.3 0.3 127.2 1.8 0.69
138.6 0.7 131.4 2.3 79.9 0.1 106.5 0.9 147.3 0.0 127.2 1.8 0.69
138.7 0.8 130.4 2.0 79.9 0.1 106.5 0.9 147.3 0.0 127.3 1.9 0.69
138.7 0.8 130.6 2.7 79.9 0.1 106.5 0.9 150.0 1.8 127.4 1.8 0.69
138.7 0.7 130.9 2.5 79.9 0.1 106.5 0.9 150.0 1.8 127.4 1.7 0.69
138.7 0.7 131.2 1.9 79.9 0.1 106.5 0.5 150.0 1.8 127.4 1.7 0.68
138.7 0.4 131.6 1.6 79.9 0.1 106.5 0.2 150.0 1.8 127.4 1.7 0.68
138.9 0.5 132.0 1.3 79.9 0.0 106.6 0.3 150.0 1.8 127.5 0.3 0.68
2 - 48
Table 2.22
2012 - 2017
Furnishings,
Household
Housing, Water,
Maintenance of
the House
Year/
CPI CPI CPI CPI CPI
Ifugao
2012 131.3 7.0 138.7 9.8 134.8 4.2 124.4 15.7 112.2 2.8
Jan 125.7 4.9 129.8 5.4 130.5 2.7 108.6 2.7 108.5 (1.5)
Feb 125.7 3.8 132.0 6.5 130.5 2.6 109.2 2.6 108.5 (1.5)
Mar 125.1 2.0 132.4 5.5 131.9 2.3 109.2 2.2 108.5 (1.5)
Apr 131.5 7.3 136.8 8.2 133.2 3.4 130.6 21.8 110.2 0.0
May 131.5 7.7 140.2 11.5 133.0 3.3 128.6 19.1 110.0 (0.2)
June 131.8 8.2 140.3 12.0 134.3 3.3 128.0 19.0 110.9 2.2
July 132.4 8.4 140.9 12.4 136.6 5.0 127.6 17.9 114.6 5.6
Aug 133.4 8.9 141.9 12.1 136.6 4.8 128.7 18.7 114.7 5.7
Sept 134.9 10.1 143.0 12.9 136.6 4.8 130.7 21.1 114.7 5.7
Oct 134.7 9.0 142.7 11.3 136.6 4.8 130.7 22.4 114.7 5.7
Nov 134.3 6.9 142.6 9.6 138.8 6.5 129.4 20.5 115.6 6.5
Dec 134.4 7.1 142.2 9.6 139.4 6.9 131.0 20.2 115.8 6.7
2013 137.2 4.5 156.3 12.7 141.6 5.0 131.9 6.1 116.2 3.6
Jan 135.1 7.5 150.8 16.2 139.7 7.0 130.8 20.4 115.8 6.7
Feb 135.3 7.6 154.8 17.3 141.4 8.4 131.6 20.5 115.9 6.8
Mar 135.1 8.0 155.1 17.1 141.7 7.4 131.5 20.4 115.9 6.8
Apr 135.2 2.8 155.3 13.5 141.7 6.4 131.5 0.7 115.9 5.2
May 135.4 3.0 155.7 11.1 141.7 6.5 131.0 1.9 116.2 5.6
June 137.2 4.1 156.4 11.5 141.9 5.7 130.7 2.1 116.2 4.8
July 137.8 4.1 156.8 11.2 141.8 3.8 131.1 2.7 116.2 1.4
Aug 137.8 3.3 156.4 10.2 141.9 3.9 131.1 1.9 116.2 1.3
Sept 138.4 2.6 158.2 10.6 141.9 3.9 131.4 0.5 116.5 1.6
Oct 139.3 3.4 158.6 11.2 141.9 3.9 133.3 2.0 116.6 1.7
Nov 139.5 3.9 158.8 11.4 141.9 2.2 133.6 3.2 116.6 0.9
Dec 140.2 4.3 159.0 11.8 141.9 1.8 135.5 3.4 116.7 0.8
2014 141.3 3.0 161.9 3.6 144.0 1.7 133.3 1.1 116.9 0.6
Jan 140.4 3.9 159.2 5.6 143.0 2.4 135.3 3.4 116.7 0.8
Feb 140.6 3.9 161.0 4.0 143.1 1.2 134.9 2.5 116.7 0.7
Mar 140.6 4.1 161.2 3.9 143.2 1.1 133.9 1.8 116.9 0.9
Apr 140.9 4.2 161.5 4.0 143.6 1.3 134.0 1.9 116.9 0.9
May 141.1 4.2 161.6 3.8 143.8 1.5 134.3 2.5 116.9 0.6
June 140.8 2.6 161.7 3.4 143.8 1.3 134.1 2.6 116.9 0.6
July 141.6 2.8 162.5 3.7 143.7 1.3 134.1 2.3 116.9 0.6
Aug 141.1 2.4 161.9 3.5 144.7 2.0 133.1 1.5 116.9 0.6
Sept 141.8 2.5 162.8 2.9 144.7 2.0 131.7 0.2 116.9 0.3
Oct 142.2 2.1 163.1 2.8 144.7 2.0 131.8 (1.1) 116.9 0.3
Nov 142.7 2.3 163.8 3.1 144.8 2.0 131.3 (1.7) 116.9 0.3
Dec 142.1 1.4 163.2 2.7 144.9 2.1 131.3 (3.1) 116.9 0.2
2 - 49
Restaurants and
Culture Goods and
Power of
Services
the Peso

112.5 0.7 133.9 2.9 99.1 (1.0) 103.7 1.4 125.5 5.3 133.0 4.6 0.76
112.0 0.8 133.9 4.0 100.1 0.0 102.8 1.1 122.0 5.4 127.3 (0.1) 0.80
112.0 0.6 133.9 3.2 100.1 0.0 102.9 1.3 122.0 5.4 127.3 (0.2) 0.80
112.0 0.5 134.3 3.2 100.1 0.0 102.9 1.1 122.0 5.4 127.3 0.2 0.80
112.7 1.2 133.9 2.6 100.1 0.0 103.3 1.5 122.0 5.4 133.9 5.5 0.76
112.4 0.7 133.8 2.3 100.1 0.0 103.8 2.0 122.0 5.4 134.3 5.8 0.76
112.4 0.6 133.2 2.1 100.1 0.0 104.0 2.1 128.0 7.1 134.3 5.7 0.76
112.4 0.5 132.7 1.8 100.1 0.0 104.0 2.1 128.0 4.9 134.8 6.1 0.76
112.6 0.7 133.7 2.5 97.7 (2.4) 104.0 1.4 128.0 4.9 135.0 6.1 0.75
112.7 0.8 134.5 3.2 97.7 (2.4) 104.0 1.2 128.0 4.9 135.1 6.1 0.74
112.8 0.9 134.4 3.7 97.7 (2.4) 104.0 1.2 128.0 4.9 135.1 6.1 0.74
112.8 0.9 134.2 2.8 97.7 (2.4) 104.1 1.3 128.0 4.9 135.1 6.1 0.74
112.7 0.6 134.1 2.8 97.7 (2.4) 104.1 1.3 128.0 4.9 136.1 6.9 0.74
113.3 0.8 134.3 0.3 97.7 (1.4) 104.7 1.0 143.9 14.6 138.9 4.4 0.73
112.9 0.8 134.0 0.1 97.7 (2.4) 104.2 1.4 128.0 4.9 136.1 6.9 0.74
113.1 1.0 134.1 0.1 97.7 (2.4) 104.2 1.3 128.0 4.9 136.1 6.9 0.74
113.1 1.0 134.2 (0.1) 97.7 (2.4) 104.2 1.3 128.0 4.9 136.1 6.9 0.74
113.4 0.6 134.1 0.1 97.7 (2.4) 104.2 0.9 128.0 4.9 136.3 1.8 0.74
113.4 0.9 134.0 0.1 97.7 (2.4) 104.2 0.4 128.0 4.9 136.3 1.5 0.74
113.4 0.9 134.1 0.7 97.7 (2.4) 104.6 0.6 151.5 18.4 135.9 1.2 0.73
113.3 0.8 134.3 1.2 97.7 (2.4) 104.6 0.6 155.8 21.7 136.3 1.1 0.73
113.4 0.7 134.6 0.7 97.7 0.0 104.6 0.6 155.8 21.7 142.7 5.7 0.73
113.5 0.7 134.7 0.1 97.7 0.0 104.6 0.6 155.8 21.7 142.7 5.6 0.72
113.5 0.6 134.4 0.0 97.7 0.0 104.7 0.7 155.8 21.7 142.7 5.6 0.72
113.5 0.6 134.4 0.1 97.7 0.0 105.5 1.3 155.8 21.7 142.7 5.6 0.72
113.5 0.7 134.6 0.4 97.7 0.0 106.3 2.1 155.8 21.7 142.7 4.8 0.71
113.8 0.4 134.4 0.1 98.0 0.3 106.3 1.6 155.8 8.3 143.3 3.2 0.71
113.7 0.7 134.7 0.5 97.7 0.0 106.3 2.0 155.8 21.7 142.8 4.9 0.71
113.7 0.5 134.7 0.4 97.7 0.0 106.3 2.0 155.8 21.7 142.8 4.9 0.71
113.8 0.6 134.7 0.4 97.7 0.0 106.3 2.0 155.8 21.7 142.8 4.9 0.71
113.8 0.4 134.7 0.4 97.7 0.0 106.3 2.0 155.8 21.7 142.9 4.8 0.71
113.8 0.4 134.8 0.6 97.7 0.0 106.3 2.0 155.8 21.7 142.9 4.8 0.71
113.8 0.4 134.7 0.4 97.7 0.0 106.3 1.6 155.8 2.8 142.8 5.1 0.71
113.8 0.4 134.7 0.3 97.7 0.0 106.3 1.6 155.8 0.0 142.8 4.8 0.71
113.8 0.4 134.6 0.0 97.7 0.0 106.3 1.6 155.8 0.0 143.3 0.4 0.71
113.8 0.3 134.3 (0.3) 97.7 0.0 106.3 1.6 155.8 0.0 143.3 0.4 0.71
113.8 0.3 134.2 (0.1) 98.4 0.7 106.3 1.5 155.8 0.0 144.3 1.1 0.70
113.8 0.3 133.7 (0.5) 99.1 1.4 106.3 0.8 155.8 0.0 144.3 1.1 0.70
113.8 0.3 133.1 (1.1) 99.1 1.4 106.3 0.0 155.8 0.0 144.3 1.1 0.70
2 - 50
Table 2.22
2012 - 2017
Furnishings,
Household
Housing, Water,
All Items Electtricity, Gas
Maintenance of
the House
Year/
CPI CPI CPI CPI CPI
Ifugao
2015 142.4 0.7 163.2 0.8 145.3 0.9 131.0 (1.8) 117.0 0.1
Jan 142.5 1.5 163.8 2.9 144.9 1.3 130.8 (3.3) 116.9 0.2
Feb 141.8 0.9 163.2 1.4 144.9 1.3 130.2 (3.5) 116.9 0.2
Mar 141.8 0.9 163.1 1.2 144.9 1.2 130.8 (2.3) 116.9 0.0
Apr 141.1 0.1 162.2 0.5 144.9 0.9 131.2 (2.1) 116.9 0.0
May 140.8 (0.2) 162.0 0.2 145.4 1.1 130.6 (2.8) 116.9 0.0
June 142.2 1.0 162.6 0.6 145.4 1.1 130.9 (2.4) 116.9 0.0
July 142.6 0.7 163.0 0.3 145.4 1.2 130.9 (2.4) 117.0 0.1
Aug 142.5 1.0 163.0 0.7 145.4 0.5 130.8 (1.7) 117.0 0.1
Sept 142.7 0.6 163.1 0.2 145.4 0.5 131.3 (0.3) 117.0 0.1
Oct 143.0 0.6 164.0 0.5 145.4 0.5 131.2 (0.5) 117.0 0.1
Nov 143.6 0.6 164.4 0.4 145.4 0.4 131.3 0.0 117.2 0.3
Dec 143.8 1.2 164.7 0.9 145.6 0.5 131.4 0.1 117.4 0.4
2016 147.2 3.4 166.5 2.0 147.2 1.3 140.3 7.1 118.1 1.0
Jan 144.1 1.1 165.3 0.9 145.7 0.6 130.6 (0.2) 117.6 0.6
Feb 145.8 2.8 166.1 1.8 146.1 0.8 136.6 4.9 117.6 0.6
Mar 147.2 3.8 166.6 2.2 146.1 0.8 140.7 7.6 117.6 0.6
Apr 145.8 3.3 165.0 1.7 146.6 1.2 140.2 6.9 117.7 0.7
May 145.9 3.6 165.0 1.9 146.6 0.8 140.3 7.4 117.7 0.7
June 146.0 2.7 165.0 1.5 146.9 1.0 140.9 7.6 117.8 0.8
July 146.4 2.7 165.5 1.5 147.2 1.2 139.7 6.7 117.8 0.7
Aug 147.1 3.2 166.0 1.9 147.4 1.4 141.4 8.1 117.9 0.8
Sept 147.9 3.6 166.8 2.3 147.9 1.7 142.1 8.2 117.9 0.8
Oct 148.7 4.0 167.6 2.2 148.0 1.8 142.4 8.5 118.6 1.4
Nov 150.5 4.8 169.6 3.2 148.1 1.9 142.7 8.7 119.2 1.7
Dec 151.0 5.0 169.4 2.9 149.4 2.6 145.4 10.7 120.2 2.4
2017 152.0 3.3 178.1 7.0 151.1 2.7 145.4 3.7 125.3 6.1
Jan 151.2 4.9 171.3 3.6 149.7 2.7 145.6 11.5 123.1 4.7
Feb 151.6 4.0 174.0 4.8 149.7 2.5 145.8 6.7 123.1 4.7
Mar 151.9 3.2 178.1 6.9 149.7 2.5 145.9 3.7 123.1 4.7
Apr 151.6 4.0 178.0 7.8 149.7 2.1 145.1 3.5 125.4 6.5
May 151.3 3.7 177.9 7.8 150.4 2.6 144.5 3.0 125.9 7.0
June 151.1 3.5 177.8 7.8 150.4 2.4 144.1 2.3 125.9 6.9
July 151.5 3.5 179.1 8.2 151.4 2.9 144.3 3.3 126.2 7.1
Aug 152.3 3.5 179.5 8.1 152.0 3.1 145.8 3.1 126.2 7.0
Sept 152.5 3.1 179.8 7.8 152.5 3.1 145.6 2.5 126.2 7.0
Oct 153.0 2.9 180.3 7.5 152.5 3.0 146.1 2.6 126.2 6.4
Nov 153.1 1.7 180.6 6.5 152.5 3.0 146.3 2.5 126.2 5.9
Dec 153.0 1.3 180.7 6.7 152.6 2.1 146.2 0.6 126.2 5.0
2 - 51
Restaurants and
Culture Goods and
Power of
Services
the Peso

113.9 0.1 131.9 (1.9) 99.1 1.1 106.3 0.0 164.5 5.6 145.8 1.8 0.70
113.9 0.2 132.0 (2.0) 99.1 1.4 106.3 0.0 155.8 0.0 144.3 1.1 0.70
113.9 0.2 131.5 (2.4) 99.1 1.4 106.3 0.0 155.8 0.0 144.4 1.1 0.71
113.9 0.1 131.9 (2.1) 99.1 1.4 106.3 0.0 155.8 0.0 144.7 1.3 0.71
113.9 0.1 131.9 (2.1) 99.1 1.4 106.3 0.0 155.8 0.0 145.2 1.6 0.71
113.9 0.1 132.2 (1.9) 99.1 1.4 106.3 0.0 155.8 0.0 145.2 1.6 0.71
113.9 0.1 132.4 (1.7) 99.1 1.4 106.3 0.0 170.7 9.6 145.9 2.2 0.70
113.9 0.1 132.3 (1.8) 99.1 1.4 106.3 0.0 170.7 9.6 146.0 2.2 0.70
113.9 0.1 131.9 (2.0) 99.1 1.4 106.3 0.0 170.7 9.6 146.0 1.9 0.70
113.9 0.1 131.7 (1.9) 99.1 1.4 106.3 0.0 170.7 9.6 146.0 1.9 0.70
113.9 0.1 131.7 (1.9) 99.1 0.7 106.3 0.0 170.7 9.6 146.1 1.2 0.70
113.9 0.1 131.5 (1.6) 99.1 0.0 106.3 0.0 170.7 9.6 147.8 2.4 0.70
113.9 0.1 131.4 (1.3) 99.1 0.0 106.3 0.0 170.7 9.6 148.0 2.6 0.70
114.9 0.8 130.8 (0.8) 101.0 1.9 106.3 (0.0) 172.0 4.5 149.2 2.3 0.68
113.9 0.0 130.9 (0.8) 101.0 1.9 106.6 0.3 170.7 9.6 148.0 2.6 0.69
114.3 0.4 130.6 (0.7) 101.0 1.9 105.9 (0.4) 170.7 9.6 148.0 2.5 0.69
114.5 0.5 130.4 (1.1) 101.0 1.9 105.1 (1.1) 170.7 9.6 147.9 2.2 0.68
114.9 0.9 130.5 (1.1) 101.0 1.9 105.1 (1.1) 170.7 9.6 148.0 1.9 0.69
114.9 0.9 130.7 (1.1) 101.0 1.9 106.3 0.0 170.7 9.6 148.3 2.1 0.69
115.1 1.1 131.0 (1.1) 101.0 1.9 106.5 0.2 170.7 0.0 148.3 1.6 0.68
115.1 1.1 131.0 (1.0) 101.0 1.9 106.6 0.3 173.2 1.5 150.2 2.9 0.68
115.1 1.1 130.7 (0.9) 101.0 1.9 106.6 0.3 173.2 1.5 150.3 2.9 0.68
115.1 1.1 130.8 (0.7) 101.0 1.9 106.6 0.3 173.2 1.5 150.3 2.9 0.68
115.1 1.1 131.0 (0.5) 101.0 1.9 106.6 0.3 173.2 1.5 150.3 2.9 0.67
115.1 1.1 131.0 (0.4) 101.0 1.9 106.6 0.3 173.2 1.5 150.3 1.7 0.66
115.1 1.1 131.2 (0.2) 101.0 1.9 106.6 0.3 173.2 1.5 150.3 1.6 0.66
116.3 1.2 131.7 0.7 101.0 0.0 108.5 2.1 173.4 0.9 150.4 0.8 0.66
115.8 1.7 131.5 0.5 101.0 0.0 106.7 0.1 173.2 1.5 150.8 1.9 0.66
115.8 1.3 131.7 0.8 101.0 0.0 107.7 1.7 173.2 1.5 150.8 1.9 0.66
115.8 1.1 131.6 0.9 101.0 0.0 108.1 2.9 173.2 1.5 150.8 2.0 0.66
115.9 0.9 131.6 0.8 101.0 0.0 108.2 2.9 173.2 1.5 150.8 1.9 0.66
115.9 0.9 131.5 0.6 101.0 0.0 108.2 1.8 173.2 1.5 150.8 1.7 0.66
115.9 0.7 131.3 0.2 101.0 0.0 108.4 1.8 173.6 1.7 149.8 1.0 0.66
116.7 1.4 131.4 0.3 101.0 0.0 108.6 1.9 173.6 0.2 150.2 0.0 0.66
116.7 1.4 131.7 0.8 101.0 0.0 108.6 1.9 173.6 0.2 150.2 (0.1) 0.66
116.7 1.4 131.8 0.8 101.0 0.0 109.4 2.6 173.6 0.2 150.2 (0.1) 0.66
116.7 1.4 131.9 0.7 101.0 0.0 109.4 2.6 173.6 0.2 150.2 (0.1) 0.65
116.7 1.4 132.1 0.8 101.0 0.0 109.5 2.7 173.6 0.2 150.2 (0.1) 0.65
116.8 1.5 132.3 0.8 101.0 0.0 109.5 2.7 173.6 0.2 150.2 (0.1) 0.65
2 - 52
Table 2.22
2012 - 2017
Furnishings,
Household
Housing, Water,
Maintenance of
the House
Year/
CPI CPI CPI CPI CPI
Kalinga
2012 123.2 3.1 128.5 4.1 111.9 2.9 113.5 2.3 116.7 6.0
Jan 121.9 5.2 126.4 7.7 109.8 2.7 113.0 6.7 111.9 3.3
Feb 121.8 4.5 126.0 5.1 110.0 2.4 114.0 7.1 111.9 3.1
Mar 122.0 4.3 126.3 4.3 110.4 2.3 114.7 6.4 112.4 3.6
Apr 122.0 3.2 126.2 3.8 110.4 2.1 114.4 1.9 112.4 2.4
May 122.4 3.2 126.2 3.6 110.7 1.9 115.8 2.8 112.6 2.4
June 121.2 0.7 126.6 1.6 110.6 1.6 111.3 (1.0) 112.9 2.4
July 122.2 1.4 128.3 2.6 112.1 2.7 112.2 (0.4) 116.9 5.9
Aug 123.6 2.6 129.8 3.8 112.4 3.1 113.8 1.4 118.8 7.2
Sept 125.6 4.1 131.5 5.0 113.1 3.3 114.8 2.4 121.6 9.5
Oct 124.5 2.6 131.2 4.0 114.0 4.1 111.7 0.0 122.8 10.4
Nov 125.7 2.7 132.1 4.0 114.6 4.5 113.6 0.9 123.2 10.7
Dec 125.3 2.9 131.8 4.4 114.6 4.3 112.8 (0.2) 123.5 10.4
2013 128.9 4.7 150.9 17.4 116.3 3.9 113.1 (0.4) 126.9 8.7
Jan 125.8 3.2 138.6 9.7 114.7 4.5 113.3 0.3 123.7 10.5
Feb 125.6 3.1 139.4 10.7 114.9 4.5 113.4 (0.5) 124.3 11.1
Mar 125.7 3.0 141.6 12.1 115.0 4.2 113.4 (1.1) 124.5 10.8
Apr 126.5 3.7 149.5 18.5 115.5 4.6 112.6 (1.6) 124.4 10.7
May 126.8 3.6 150.4 19.2 116.1 4.9 113.5 (2.0) 124.8 10.8
June 129.1 6.5 152.7 20.6 116.1 5.0 111.8 0.4 126.5 12.0
July 130.1 6.5 154.7 20.6 116.8 4.2 112.6 0.4 129.0 10.4
Aug 129.8 5.0 154.6 19.1 116.8 3.9 112.1 (1.5) 128.9 8.5
Sept 131.0 4.3 155.7 18.4 117.1 3.5 112.8 (1.7) 128.7 5.8
Oct 131.8 5.9 157.7 20.2 117.3 2.9 112.9 1.1 129.1 5.1
Nov 132.0 5.0 157.8 19.5 117.5 2.5 113.1 (0.4) 129.3 5.0
Dec 132.9 6.1 158.3 20.1 117.5 2.5 115.6 2.5 129.3 4.7
2014 133.2 3.3 160.1 6.1 118.3 1.7 115.0 1.7 131.0 3.3
Jan 132.7 5.5 158.5 14.4 117.7 2.6 115.0 1.5 130.2 5.3
Feb 132.8 5.7 159.0 14.1 117.8 2.5 116.0 2.3 130.4 4.9
Mar 132.4 5.3 158.8 12.2 117.9 2.5 115.5 1.9 130.4 4.7
Apr 132.4 4.7 158.7 6.2 117.9 2.1 115.8 2.8 130.5 4.9
May 133.3 5.1 159.4 6.0 117.9 1.6 119.7 5.5 130.5 4.6
June 132.3 2.5 159.9 4.7 117.9 1.6 113.6 1.6 130.5 3.2
July 133.4 2.5 160.8 4.0 118.4 1.4 113.8 1.1 130.9 1.5
Aug 133.3 2.7 160.7 3.9 118.4 1.4 113.6 1.3 130.9 1.6
Sept 133.8 2.1 161.1 3.5 118.8 1.5 115.2 2.1 131.9 2.5
Oct 134.3 1.9 161.5 2.4 118.8 1.3 115.5 2.3 131.9 2.2
Nov 134.0 1.5 161.6 2.4 118.8 1.1 114.5 1.2 132.0 2.1
Dec 133.6 0.5 161.9 2.3 118.8 1.1 111.7 (3.4) 132.0 2.1
2 - 53
Restaurants and
Culture Goods and
Power of
Services
the Peso

119.6 2.1 136.0 4.0 78.0 0.4 110.0 2.8 126.5 1.0 115.2 3.5 0.81
117.6 0.9 131.8 2.3 77.7 0.0 108.1 2.8 126.5 2.0 113.1 3.9 0.82
117.6 0.9 131.9 2.2 77.7 0.0 107.8 2.8 126.5 2.0 113.2 3.6 0.82
117.7 0.7 132.1 2.0 77.7 0.0 110.1 4.6 126.5 2.0 114.0 3.4 0.82
117.7 0.7 136.5 4.8 77.7 0.0 110.1 4.6 126.5 2.0 114.0 3.3 0.82
117.7 0.6 136.4 4.2 77.9 0.3 110.0 2.4 126.5 2.0 114.0 3.0 0.82
118.0 0.9 135.5 3.5 77.9 0.3 110.0 1.9 126.5 2.0 114.0 2.5 0.83
120.5 3.0 137.0 4.3 78.2 0.6 110.4 2.3 126.5 0.0 115.1 3.3 0.82
121.6 3.6 137.4 4.6 78.3 0.8 110.6 2.3 126.5 0.0 115.7 2.8 0.81
121.6 3.5 138.0 5.2 78.3 0.8 110.8 2.5 126.5 0.0 116.7 3.6 0.80
121.5 3.3 138.4 4.8 78.3 0.8 110.7 2.4 126.5 0.0 117.4 4.2 0.80
121.9 3.7 138.2 4.9 78.3 0.8 110.7 2.4 126.5 0.0 117.6 4.3 0.80
122.2 3.9 138.6 5.3 78.3 0.8 110.8 2.5 126.5 0.0 118.0 4.3 0.80
123.6 3.3 140.6 3.4 78.1 0.1 112.0 1.8 142.5 12.7 122.0 5.8 0.78
122.2 3.9 138.7 5.2 78.3 0.8 110.8 2.5 126.5 0.0 118.8 5.0 0.79
122.5 4.2 140.5 6.5 78.3 0.8 110.8 2.8 126.5 0.0 119.4 5.5 0.80
122.1 3.7 141.1 6.8 78.3 0.8 110.8 0.6 126.5 0.0 119.7 5.0 0.80
122.7 4.2 140.6 3.0 78.3 0.8 110.8 0.6 126.5 0.0 120.0 5.3 0.79
122.9 4.4 140.6 3.1 78.3 0.5 110.8 0.7 126.5 0.0 120.3 5.5 0.79
123.1 4.3 140.7 3.8 78.2 0.4 112.3 2.1 154.0 21.7 122.1 7.1 0.77
124.3 3.2 141.1 3.0 78.0 (0.3) 112.9 2.3 154.0 21.7 122.7 6.6 0.77
124.4 2.3 140.9 2.5 78.0 (0.4) 112.9 2.1 154.0 21.7 123.3 6.6 0.77
124.6 2.5 141.0 2.2 78.0 (0.4) 112.9 1.9 154.0 21.7 123.6 5.9 0.76
124.6 2.6 140.7 1.7 78.0 (0.4) 112.9 2.0 154.0 21.7 124.5 6.0 0.76
124.6 2.2 140.7 1.8 78.0 (0.4) 112.9 2.0 154.0 21.7 124.6 6.0 0.76
124.6 2.0 141.0 1.7 78.0 (0.4) 112.9 1.9 154.0 21.7 124.6 5.6 0.75
125.1 1.2 140.8 0.1 78.0 (0.2) 113.1 1.0 155.7 9.2 125.8 3.1 0.75
124.7 2.0 141.1 1.7 78.0 (0.4) 112.9 1.9 154.0 21.7 125.2 5.4 0.75
124.7 1.8 141.1 0.4 78.0 (0.4) 113.0 2.0 154.0 21.7 125.3 4.9 0.75
124.9 2.3 141.1 0.0 78.0 (0.4) 113.1 2.1 154.0 21.7 125.4 4.8 0.76
124.9 1.8 141.1 0.4 78.0 (0.4) 113.1 2.1 154.0 21.7 125.5 4.6 0.76
125.1 1.8 141.1 0.4 78.0 (0.4) 113.1 2.1 154.0 21.7 125.5 4.3 0.75
125.1 1.6 141.0 0.2 78.0 (0.3) 113.1 0.7 154.1 0.1 125.6 2.9 0.76
125.1 0.6 141.1 0.0 77.9 (0.1) 113.2 0.3 157.3 2.1 125.7 2.4 0.75
125.1 0.6 140.9 0.0 77.9 (0.1) 113.2 0.3 157.3 2.1 125.8 2.0 0.75
125.1 0.4 140.7 (0.2) 77.9 (0.1) 113.2 0.3 157.3 2.1 126.1 2.0 0.75
125.3 0.6 140.6 (0.1) 77.9 (0.1) 113.2 0.3 157.3 2.1 126.3 1.4 0.74
125.4 0.6 140.2 (0.4) 77.9 (0.1) 113.2 0.3 157.3 2.1 126.3 1.4 0.75
125.4 0.6 139.5 (1.1) 77.9 (0.1) 113.2 0.3 157.3 2.1 126.3 1.4 0.75
2 - 54
Table 2.22
2012 - 2017
Furnishings,
Household
Housing, Water,
Maintenance of
the House
Year/
CPI CPI CPI CPI CPI
Kalinga
2015 133.8 0.5 167.5 4.6 119.0 0.6 109.5 (4.7) 132.4 1.0
Jan 133.9 0.9 165.5 4.4 119.0 1.1 110.8 (3.7) 132.0 1.4
Feb 132.9 0.1 164.5 3.4 119.1 1.1 110.2 (5.0) 132.3 1.5
Mar 132.7 0.2 165.8 4.4 119.1 1.0 110.2 (4.6) 132.3 1.5
Apr 132.8 0.3 166.0 4.6 118.9 0.8 110.3 (4.7) 132.3 1.4
May 132.8 (0.4) 166.1 4.2 118.9 0.8 109.4 (8.6) 132.3 1.4
June 133.4 0.8 167.0 4.4 118.9 0.8 109.4 (3.7) 132.3 1.4
July 133.9 0.4 167.7 4.3 118.9 0.4 109.7 (3.6) 132.3 1.1
Aug 134.7 1.1 168.7 5.0 118.9 0.4 109.4 (3.7) 132.3 1.1
Sept 134.6 0.6 168.7 4.8 118.9 0.1 109.0 (5.4) 132.3 0.3
Oct 133.7 (0.4) 167.9 4.0 118.9 0.1 109.1 (5.5) 132.4 0.4
Nov 134.9 0.7 171.4 6.1 119.1 0.3 108.2 (5.5) 132.7 0.5
Dec 135.4 1.3 171.6 6.0 119.3 0.4 108.8 (2.6) 132.7 0.5
2016 138.2 3.3 178.5 6.6 122.6 3.0 110.5 0.9 136.4 3.1
Jan 137.2 2.5 174.4 5.4 122.1 2.6 109.1 (1.5) 134.6 2.0
Feb 136.6 2.8 174.2 5.9 122.1 2.5 108.7 (1.4) 135.5 2.4
Mar 136.6 2.9 174.6 5.3 122.2 2.6 109.4 (0.7) 135.8 2.6
Apr 136.1 2.5 174.2 5.0 122.3 2.9 109.4 (0.8) 136.3 3.0
May 137.1 3.2 176.2 6.1 122.4 2.9 109.6 0.2 136.1 2.9
June 137.5 3.1 177.4 6.3 122.6 3.1 110.1 0.6 136.4 3.1
July 138.1 3.1 178.7 6.6 122.7 3.2 111.3 1.5 136.9 3.5
Aug 138.2 2.6 178.9 6.1 122.6 3.1 111.4 1.8 136.9 3.5
Sept 138.0 2.5 178.9 6.0 122.8 3.3 110.6 1.5 137.1 3.6
Oct 138.4 3.5 179.2 6.8 122.9 3.4 111.5 2.2 137.2 3.6
Nov 143.0 6.0 188.3 9.9 123.1 3.4 112.7 4.2 137.2 3.4
Dec 142.1 4.9 187.2 9.1 123.2 3.3 112.6 3.5 137.3 3.5
2017 141.5 2.3 191.5 7.3 123.7 0.9 113.1 2.3 138.9 1.8
Jan 142.0 3.5 187.4 7.4 123.4 1.1 113.3 3.8 137.3 2.0
Feb 142.0 4.0 188.4 8.1 123.4 1.1 114.6 5.4 137.3 1.3
Mar 140.6 2.9 187.7 7.5 123.4 1.0 114.9 5.0 137.4 1.2
Apr 139.7 2.6 188.5 8.2 123.7 1.1 111.9 2.3 137.8 1.1
May 140.4 2.4 189.6 7.6 123.8 1.1 112.6 2.7 137.8 1.2
June 141.0 2.5 190.3 7.2 123.6 0.8 111.2 1.0 138.7 1.7
July 141.7 2.6 192.2 7.6 123.7 0.8 112.7 1.3 139.6 2.0
Aug 141.6 2.5 193.3 8.0 123.7 0.9 113.2 1.6 140.0 2.3
Sept 141.8 2.8 193.8 8.3 123.8 0.8 113.0 2.2 140.0 2.1
Oct 142.0 2.6 194.3 8.4 124.0 0.9 112.8 1.2 140.1 2.1
Nov 142.0 (0.7) 195.4 3.8 124.1 0.8 112.9 0.2 140.1 2.1
Dec 142.9 0.6 197.2 5.3 124.2 0.8 113.6 0.9 140.9 2.6
2 - 55
Restaurants and
Culture Goods and
Power of
Services
the Peso

125.5 0.4 142.6 1.3 78.1 0.2 113.7 0.5 161.6 3.8 128.8 2.4 0.75
125.4 0.6 138.5 (1.8) 77.9 (0.1) 113.3 0.4 157.3 2.1 127.2 1.6 0.75
125.6 0.7 142.1 0.7 77.9 (0.1) 113.4 0.4 157.3 2.1 127.2 1.5 0.75
125.7 0.6 142.5 1.0 77.9 (0.1) 113.5 0.4 157.3 2.1 127.2 1.4 0.75
125.7 0.6 142.4 0.9 77.9 (0.1) 113.7 0.5 157.3 2.1 127.6 1.7 0.75
125.7 0.5 142.9 1.3 77.9 (0.1) 113.7 0.5 157.3 2.1 128.2 2.2 0.75
125.7 0.5 143.1 1.5 77.9 (0.1) 113.7 0.5 164.6 6.8 128.3 2.1 0.75
125.7 0.5 143.1 1.4 77.9 0.0 113.8 0.5 164.6 4.6 128.6 2.3 0.75
125.2 0.1 142.1 0.9 77.9 0.0 113.8 0.5 164.6 4.6 129.2 2.7 0.74
125.3 0.2 142.5 1.3 77.9 0.0 114.0 0.7 164.6 4.6 129.2 2.5 0.74
125.4 0.1 142.7 1.5 78.7 1.0 114.0 0.7 164.6 4.6 129.8 2.8 0.75
125.4 0.0 142.6 1.7 78.7 1.0 114.0 0.7 164.6 4.6 131.2 3.9 0.74
125.4 0.0 146.6 5.1 78.7 1.0 114.0 0.7 164.6 4.6 131.8 4.4 0.74
126.5 0.8 145.1 1.7 78.8 0.9 114.8 0.9 165.8 2.6 133.2 3.4 0.72
125.6 0.2 145.8 5.3 78.7 1.0 114.6 1.1 164.6 4.6 133.4 4.9 0.73
125.6 0.0 141.9 (0.1) 78.7 1.0 114.6 1.1 164.6 4.6 133.4 4.9 0.73
126.0 0.2 145.7 2.2 78.7 1.0 114.7 1.1 164.6 4.6 133.4 4.9 0.73
126.2 0.4 146.3 2.7 78.7 1.0 114.6 0.8 164.6 4.6 133.4 4.5 0.73
126.5 0.6 143.6 0.5 78.7 1.0 114.8 1.0 164.6 4.6 133.5 4.1 0.73
126.7 0.8 143.9 0.6 78.9 1.3 114.9 1.1 166.6 1.2 132.8 3.5 0.73
126.7 0.8 143.8 0.5 78.9 1.3 114.9 1.0 166.6 1.2 132.8 3.3 0.72
126.7 1.2 143.7 1.1 78.9 1.3 114.9 1.0 166.6 1.2 132.9 2.9 0.72
126.8 1.2 144.0 1.1 78.9 1.3 114.9 0.8 166.6 1.2 132.9 2.9 0.72
126.9 1.2 144.2 1.1 78.9 0.3 114.9 0.8 166.6 1.2 133.0 2.5 0.72
127.2 1.4 144.3 1.2 78.9 0.3 114.9 0.8 166.6 1.2 133.2 1.5 0.70
127.5 1.7 153.5 4.7 78.9 0.3 114.9 0.8 166.6 1.2 133.2 1.1 0.70
128.1 1.2 145.9 0.6 78.9 0.1 115.0 0.2 169.6 2.3 134.3 0.9 0.71
127.5 1.5 145.6 (0.1) 78.9 0.3 114.9 0.3 166.6 1.2 133.2 (0.1) 0.70
127.6 1.6 148.6 4.7 78.9 0.3 114.9 0.3 166.6 1.2 133.4 0.0 0.70
127.6 1.3 146.8 0.8 78.9 0.3 114.9 0.2 166.6 1.2 133.7 0.2 0.71
127.6 1.1 145.4 (0.6) 78.9 0.3 114.9 0.3 166.6 1.2 133.6 0.1 0.72
127.7 0.9 145.4 1.3 78.9 0.3 114.9 0.1 166.6 1.2 133.6 0.1 0.71
128.1 1.1 145.3 1.0 78.9 0.0 115.0 0.1 170.3 2.2 134.3 1.1 0.71
128.1 1.1 145.1 0.9 78.9 0.0 115.1 0.2 172.0 3.2 134.6 1.4 0.71
128.2 1.2 145.5 1.3 78.9 0.0 115.1 0.2 172.0 3.2 135.0 1.6 0.71
128.5 1.3 146.1 1.5 78.9 0.0 115.1 0.2 172.0 3.2 135.1 1.7 0.71
128.5 1.3 145.3 0.8 79.0 0.1 115.2 0.3 172.0 3.2 135.0 1.5 0.70
128.6 1.1 145.5 0.8 79.0 0.1 115.2 0.3 172.0 3.2 135.0 1.4 0.70
128.7 0.9 145.8 (5.0) 79.0 0.1 115.2 0.3 172.0 3.2 135.3 1.6 0.70
2 - 56
Table 2.22
2012 - 2017
Furnishings,
Household
Housing, Water,
Maintenance of
the House
Year/
CPI CPI CPI CPI CPI
Mt. Province
2012 132.7 3.2 134.3 3.9 129.0 6.3 122.1 0.6 130.9 5.1
Jan 130.8 4.1 131.5 4.4 124.5 8.3 122.7 1.8 128.6 7.7
Feb 130.6 3.7 131.0 3.3 125.2 7.3 123.3 2.0 128.6 7.6
Mar 131.1 3.2 132.1 3.4 125.4 5.3 122.4 1.7 129.0 7.7
Apr 131.6 3.4 132.8 3.7 126.7 6.3 122.4 1.2 129.5 8.1
May 130.9 2.1 132.5 2.8 129.0 8.1 122.1 0.1 130.3 8.7
June 131.5 2.4 132.6 2.4 129.2 6.2 120.9 (0.7) 130.6 3.6
July 133.0 2.9 135.5 4.4 128.7 3.9 120.4 (1.0) 131.3 3.2
Aug 133.5 3.4 136.3 5.2 129.5 4.7 120.4 (0.8) 132.2 3.1
Sept 135.6 4.6 137.8 6.0 130.1 4.5 123.6 1.1 132.6 3.3
Oct 134.8 3.3 137.0 4.5 132.4 6.3 122.3 0.4 132.4 3.0
Nov 134.6 2.6 136.7 3.6 133.4 7.1 122.4 1.0 132.6 3.2
Dec 134.2 2.5 136.3 3.5 133.7 7.4 122.5 0.0 132.7 3.2
2013 135.7 2.3 145.6 8.4 136.5 5.8 123.4 1.0 133.1 1.7
Jan 134.0 2.4 137.6 4.6 134.2 7.8 122.6 (0.1) 132.8 3.3
Feb 134.1 2.7 141.8 8.2 134.6 7.5 122.9 (0.3) 132.9 3.3
Mar 134.0 2.2 141.7 7.3 134.8 7.5 123.0 0.5 132.8 2.9
Apr 134.4 2.1 145.3 9.4 134.9 6.5 123.1 0.6 133 2.7
May 134.6 2.8 145.7 10.0 135.7 5.2 122.3 0.2 133 2.1
June 135.5 3.0 146.1 10.2 136.3 5.5 122.8 1.6 133.2 2.0
July 136.6 2.7 147.7 9.0 136.3 5.9 123.9 2.9 133.3 1.5
Aug 136.3 2.1 147.7 8.4 137.4 6.1 123.8 2.8 133.3 0.8
Sept 136.6 0.7 147.7 7.2 138.6 6.5 124.2 0.5 133.2 0.5
Oct 137.1 1.7 148.2 8.1 138.5 4.6 124.6 1.9 133.2 0.6
Nov 137.3 2.0 148.8 8.9 138.4 3.7 123.6 1.0 133.2 0.5
Dec 137.7 2.6 149.3 9.5 138.4 3.5 123.8 1.1 133.3 0.5
2014 140.8 3.8 154.9 6.4 140.6 3.0 131.1 6.2 133.5 0.3
Jan 139.3 4.0 149.4 8.6 138.6 3.3 130.8 6.7 133.5 0.5
Feb 139.9 4.3 154.2 8.8 138.6 3.0 131.6 7.1 133.5 0.5
Mar 139.5 4.1 153.8 8.6 138.9 3.0 131.4 6.8 133.5 0.5
Apr 139.5 3.8 154.1 6.0 139.0 3.0 130.9 6.3 133.5 0.4
May 139.9 3.9 154.5 6.0 139.0 2.4 130.7 6.9 133.5 0.4
June 140.3 3.5 154.7 5.9 139.0 2.0 131.2 6.8 133.5 0.2
July 141.0 3.2 155.4 5.2 139.0 2.0 131.4 6.1 133.5 0.2
Aug 141.5 3.8 155.7 5.5 140.7 2.4 131.6 6.3 133.5 0.2
Sept 141.6 3.7 155.9 5.5 143.5 3.5 131.8 6.1 133.5 0.2
Oct 141.9 3.5 156.5 5.6 143.5 3.6 130.9 5.1 133.5 0.2
Nov 142.2 3.6 157.1 5.5 143.9 4.0 130.6 5.7 133.5 0.2
Dec 142.8 3.7 158.2 6.0 143.9 4.0 130.0 5.0 133.5 0.2
2 - 57
Restaurants and
Culture Goods and
Power of
Services
the Peso

129.8 3.5 121.7 2.5 86.0 0.6 109.2 (1.0) 155.9 9.8 128.1 3.7 0.75
128.3 12.3 118.1 2.8 85.5 0.0 109.4 (1.0) 147.8 9.1 126.1 3.7 0.76
128.3 12.3 120.9 4.6 85.5 0.0 109.4 (1.4) 147.8 9.1 126.1 3.6 0.77
128.7 1.8 122.3 3.3 85.5 0.0 109.4 (1.5) 147.8 9.1 126.1 3.6 0.76
128.7 1.3 122.7 2.8 85.8 0.4 109.4 (1.9) 147.8 9.1 127.1 4.4 0.76
129.0 1.1 121.5 (0.2) 86.2 0.8 106.8 (4.4) 147.8 9.1 127.4 4.7 0.76
129.1 1.2 120.9 (0.2) 86.2 0.8 108.8 (1.3) 161.6 16.4 128.2 5.2 0.76
129.7 1.5 120.8 1.3 86.1 0.7 109.6 (0.6) 161.6 9.3 128.5 4.0 0.75
130.8 2.3 120.3 0.8 86.2 0.8 109.5 (1.3) 161.6 9.3 128.9 2.8 0.75
131.1 2.6 122.9 3.4 86.2 0.8 109.6 0.7 161.6 9.3 129.1 2.9 0.74
131.1 2.5 123.7 4.0 86.2 0.8 109.6 0.4 161.6 9.3 129.8 3.1 0.74
131.1 2.4 123.6 4.0 86.2 0.8 109.7 0.3 161.6 9.3 129.9 3.2 0.74
131.8 2.7 123.2 3.4 86.2 0.8 109.7 0.3 161.6 9.3 129.9 3.0 0.75
130.7 0.7 123.5 1.4 86.2 0.3 110.1 0.8 168.2 7.9 129.9 1.4 0.74
131.8 2.7 122.5 3.7 86.2 0.8 109.7 0.3 161.6 9.3 129.9 3.0 0.75
131.2 2.3 122.7 1.5 86.2 0.8 109.7 0.3 161.6 9.3 129.8 2.9 0.75
131.0 1.8 122.9 0.5 86.2 0.8 109.7 0.3 161.6 9.3 129.6 2.8 0.75
130.3 1.2 122.4 (0.2) 86.2 0.5 109.8 0.4 161.6 9.3 129.6 2.0 0.74
130.4 1.1 122.2 0.6 86.2 0.0 109.8 2.8 161.6 9.3 129.8 1.9 0.74
130.5 1.1 122.6 1.4 86.2 0.0 110.1 1.2 171.9 6.4 129.7 1.2 0.74
130.4 0.5 123.8 2.5 86.2 0.1 110.4 0.7 173.0 7.1 129.7 0.9 0.73
130.4 (0.3) 123.8 2.9 86.2 0.0 110.4 0.8 173.0 7.1 129.7 0.6 0.73
130.4 (0.5) 125.2 1.9 86.2 0.0 110.4 0.7 173.0 7.1 130.1 0.8 0.73
130.4 (0.5) 125.4 1.4 86.2 0.0 110.4 0.7 173.0 7.1 130.1 0.2 0.73
130.4 (0.5) 124.3 0.6 86.2 0.0 110.4 0.6 173.0 7.1 130.1 0.2 0.73
130.9 (0.7) 123.8 0.5 86.2 0.0 110.4 0.6 173.0 7.1 130.1 0.2 0.73
131.2 0.4 128.2 3.8 86.3 0.1 110.4 0.3 174.5 3.7 131.3 1.1 0.71
131.1 (0.5) 126.6 3.3 86.2 0.0 110.4 0.6 173.0 7.1 130.1 0.2 0.72
131.1 (0.1) 126.6 3.2 86.2 0.0 110.4 0.6 173.0 7.1 130.1 0.2 0.71
131.1 0.1 128.9 4.9 86.2 0.0 110.4 0.6 173.0 7.1 130.1 0.4 0.72
131.1 0.6 128.4 4.9 86.2 0.0 110.4 0.5 173.0 7.1 130.1 0.4 0.72
131.1 0.5 128.5 5.2 86.2 0.0 110.4 0.5 173.0 7.1 130.2 0.3 0.71
131.1 0.5 129.0 5.2 86.2 0.0 110.4 0.3 175.5 2.1 130.3 0.5 0.71
131.1 0.5 129.9 4.9 86.3 0.1 110.4 0.0 175.5 1.4 129.9 0.2 0.71
131.4 0.8 129.7 4.8 86.4 0.2 110.4 0.0 175.5 1.4 132.0 1.8 0.71
131.4 0.8 128.7 2.8 86.2 0.0 110.4 0.0 175.5 1.4 133.1 2.3 0.71
131.4 0.8 128.3 2.3 86.3 0.1 110.4 0.0 175.5 1.4 133.1 2.3 0.70
131.4 0.8 127.1 2.3 86.3 0.1 110.4 0.0 175.5 1.4 133.1 2.3 0.70
131.4 0.4 126.6 2.3 86.3 0.1 110.4 0.0 175.5 1.4 133.1 2.3 0.70
2 - 58
Table 2.22
2012 - 2017
Furnishings,
Household
Housing, Water,
Maintenance of
the House
Year/
CPI CPI CPI CPI CPI
Mt. Province
2015 145.8 3.6 163.1 5.3 144.8 3.0 128.9 (1.6) 133.8 0.3
Jan 142.4 2.2 159.6 6.8 143.9 3.8 129.2 (1.2) 133.5 0.0
Feb 141.7 1.3 159.7 3.6 143.9 3.8 127.7 (3.0) 133.5 0.0
Mar 142.3 2.0 159.8 3.9 144.1 3.7 129.5 (1.4) 133.5 0.0
Apr 143.3 2.7 161.6 4.9 144.2 3.7 129.7 (0.9) 133.5 0.0
May 143.4 2.5 162.1 4.9 144.3 3.8 129.0 (1.3) 133.6 0.1
June 146.5 4.4 162.4 5.0 144.3 3.8 129.1 (1.6) 133.6 0.1
July 146.4 3.8 162.1 4.3 144.3 3.8 128.8 (2.0) 133.6 0.1
Aug 147.5 4.2 163.4 4.9 144.4 2.6 129.0 (2.0) 133.6 0.1
Sept 148.0 4.5 164.4 5.5 145.4 1.3 127.9 (3.0) 133.7 0.1
Oct 149.0 5.0 166.7 6.6 146.1 1.8 129.0 (1.5) 134.4 0.7
Nov 149.5 5.1 167.6 6.7 146.3 1.7 128.9 (1.3) 134.8 1.0
Dec 150.0 5.0 167.8 6.1 146.4 1.7 129.2 (0.6) 134.8 1.0
2016 151.5 3.9 170.5 4.6 144.5 (0.2) 130.5 1.2 134.9 0.8
Jan 150.4 5.6 169.3 6.1 145.4 1.0 130.1 0.7 134.9 1.0
Feb 149.8 5.7 168.9 5.8 145.4 1.0 129.1 1.1 135.0 1.1
Mar 150.3 5.6 169.6 6.1 145.4 0.9 128.6 (0.7) 135.0 1.1
Apr 150.2 4.8 169.7 5.0 144.7 0.3 129.1 (0.5) 135.0 1.1
May 150.8 5.2 170.3 5.1 144.0 (0.2) 129.1 0.1 135.1 1.1
June 151.4 3.3 170.2 4.8 144.1 (0.1) 130.7 1.2 135.0 1.0
July 151.7 3.6 170.3 5.1 144.0 (0.2) 131.6 2.2 134.6 0.7
Aug 151.5 2.7 170.1 4.1 144.0 (0.3) 131.4 1.9 134.6 0.7
Sept 151.9 2.6 170.5 3.7 144.0 (1.0) 131.5 2.8 134.7 0.7
Oct 152.2 2.1 170.8 2.4 144.0 (1.4) 131.6 2.0 134.7 0.2
Nov 153.9 2.9 173.1 3.3 144.4 (1.3) 131.4 1.9 134.7 (0.1)
Dec 153.6 2.4 173.6 3.5 144.5 (1.3) 131.7 1.9 135.4 0.4
2017 155.5 2.7 178.1 4.4 145.8 0.9 132.5 1.5 138.6 2.7
Jan 154.1 2.5 175.2 3.5 144.7 (0.5) 131.4 1.0 135.7 0.6
Feb 153.7 2.6 175.3 3.8 144.7 (0.5) 132.3 2.5 135.8 0.6
Mar 152.8 1.7 174.4 2.8 145.6 0.1 133.0 3.4 135.8 0.6
Apr 153.0 1.9 174.8 3.0 145.6 0.6 132.9 2.9 135.7 0.5
May 153.5 1.8 176.4 3.6 145.6 1.1 132.4 2.6 135.7 0.4
June 155.3 2.6 177.8 4.5 145.9 1.2 132.4 1.3 135.8 0.6
July 155.9 2.8 178.8 5.0 146.0 1.4 131.9 0.2 141.2 4.9
Aug 156.0 3.0 179.0 5.2 146.1 1.5 131.9 0.4 141.4 5.1
Sept 157.2 3.5 180.2 5.7 146.2 1.5 132.7 0.9 141.5 5.0
Oct 158.0 3.8 180.8 5.9 146.2 1.5 132.6 0.8 141.5 5.0
Nov 158.1 2.7 181.2 4.7 146.4 1.4 132.8 1.1 141.5 5.0
Dec 158.3 3.1 183.3 5.6 146.8 1.6 133.2 1.1 141.5 4.5
2 - 59
Restaurants and
Culture Goods and
Power of
Services
the Peso

131.9 0.5 122.7 (4.3) 86.5 0.3 110.7 0.2 206.6 18.4 135.6 3.3 0.69
131.4 0.2 125.6 (0.8) 86.3 0.1 110.4 0.0 175.5 1.4 133.1 2.3 0.70
131.4 0.2 121.2 (4.3) 86.3 0.1 110.4 0.0 175.5 1.4 133.1 2.3 0.71
131.4 0.2 122.5 (5.0) 86.3 0.1 110.4 0.0 175.5 1.4 133.3 2.5 0.70
131.5 0.3 122.1 (4.9) 86.4 0.2 110.4 0.0 175.5 1.4 132.8 2.1 0.70
131.5 0.3 123.1 (4.2) 86.4 0.2 110.4 0.0 175.5 1.4 132.9 2.1 0.70
131.6 0.4 123.5 (4.3) 86.4 0.2 110.4 0.0 228.8 30.4 132.9 2.0 0.68
131.7 0.5 123.5 (4.9) 86.4 0.1 110.4 0.0 228.8 30.4 134.8 3.8 0.68
131.7 0.2 122.3 (5.7) 86.4 0.0 110.4 0.0 228.8 30.4 134.8 2.1 0.68
131.8 0.3 121.7 (5.4) 86.4 0.2 110.7 0.3 228.8 30.4 134.8 1.3 0.68
132.5 0.8 122.4 (4.6) 86.8 0.6 111.0 0.5 228.8 30.4 139.4 4.7 0.67
132.9 1.1 122.6 (3.5) 87.0 0.8 111.3 0.8 228.8 30.4 140.0 5.2 0.67
132.9 1.1 122.1 (3.6) 87.2 1.0 111.8 1.3 228.8 30.4 145.6 9.4 0.67
134.6 2.1 121.9 (0.7) 87.4 1.0 112.9 2.0 231.8 12.2 150.5 11.0 0.66
132.8 1.1 120.7 (3.9) 87.3 1.2 111.8 1.3 228.8 30.4 147.7 11.0 0.66
132.8 1.1 119.4 (1.5) 87.3 1.2 112.5 1.9 228.8 30.4 150.1 12.8 0.67
132.8 1.1 120.6 (1.6) 87.3 1.2 112.5 1.9 228.8 30.4 150.1 12.6 0.67
132.8 1.0 121.0 (0.9) 87.3 1.0 112.6 2.0 228.8 30.4 150.1 13.0 0.67
134.1 2.0 121.5 (1.3) 87.4 1.2 112.9 2.3 228.8 30.4 150.9 13.5 0.66
135.7 3.1 122.4 (0.9) 87.4 1.2 113.1 2.4 233.9 2.2 150.1 12.9 0.66
135.7 3.0 122.4 (0.9) 87.4 1.2 113.2 2.5 233.9 2.2 150.1 11.4 0.66
135.7 3.0 122.0 (0.2) 87.4 1.2 113.2 2.5 233.9 2.2 150.2 11.4 0.66
135.7 3.0 122.1 0.3 87.4 1.2 113.2 2.3 233.9 2.2 150.4 11.6 0.66
135.7 2.4 122.6 0.2 87.4 0.7 113.2 2.0 233.9 2.2 150.5 8.0 0.66
135.7 2.1 124.0 1.1 87.4 0.5 113.2 1.7 233.9 2.2 152.8 9.1 0.65
135.7 2.1 124.1 1.6 87.4 0.2 113.5 1.5 233.9 2.2 152.8 4.9 0.65
137.8 2.4 124.6 2.2 87.4 0.0 114.2 1.2 248.1 7.0 157.0 4.3 0.64
135.7 2.2 124.9 3.5 87.4 0.1 113.5 1.5 233.9 2.2 153.0 3.6 0.65
135.8 2.3 124.6 4.4 87.4 0.1 113.8 1.2 233.9 2.2 153.1 2.0 0.65
135.8 2.3 125.0 3.6 87.4 0.1 113.8 1.2 233.9 2.2 153.2 2.1 0.65
135.8 2.3 123.7 2.2 87.4 0.1 114.0 1.2 233.9 2.2 153.2 2.1 0.65
135.8 1.3 124.0 2.1 87.4 0.0 114.0 1.0 233.9 2.2 155.6 3.1 0.65
139.1 2.5 124.1 1.4 87.4 0.0 114.5 1.2 258.2 10.4 157.5 4.9 0.64
139.1 2.5 123.1 0.6 87.4 0.0 114.5 1.1 258.2 10.4 157.5 4.9 0.64
139.1 2.5 123.7 1.4 87.4 0.0 114.5 1.1 258.2 10.4 158.2 5.3 0.64
139.4 2.7 124.3 1.8 87.4 0.0 114.5 1.1 258.2 10.4 158.2 5.2 0.64
139.4 2.7 125.1 2.0 87.4 0.0 114.5 1.1 258.2 10.4 160.8 6.8 0.63
139.4 2.7 125.9 1.5 87.4 0.0 114.5 1.1 258.2 10.4 160.9 5.3 0.63
139.7 2.9 126.2 1.7 87.4 0.0 114.6 1.0 258.2 10.4 162.6 6.4 0.63
2 - 60
Chapter 3
ECONOMIC ACCOUNTS
The economic accounts of the region, which are presented in terms of the Gross
Regional Domestic Product (GRDP), provide a comprehensive and meaningful
quantitative picture of the regional economy. Specifically, the GRDP shows the levels
and growth of the region’s economic performance; the structure of the regional
economy by industrial origin; and the sectors that contributed to the region’s growth.
The accounts likewise serve as a yardstick for assessing the economic performance
of the region during a given period and over a span of time. With its usefulness in
charting the socio-economic growth path of the region, the GRDP, a macroeconomic
indicator of economic performance, is necessary in planning, policy formulation and
analysis.
This chapter presents the GRDP on an annual basis in terms of levels, growth, and
indices at constant and current prices. The series is generated by the Philippine
Statistics Authority from primary and secondary data sources gathered from the
various data producers in the country.
HIGHLIGHTS
• The Gross Regional Domestic Product (GRDP) of CAR accelerated from 2.3
percent in 2016 to 12.1 percent in 2017.
• CAR’s AHFF reversed from (4.5) percent in 2016 to 5.1 percent in 2017.
• Industry rebounded from (0.3) percent to 18.6 percent.
• Services decelerated from 7.1 percent in 2016 to 5.8 percent in 2017.
3-1
Table 3.1A Gross Regional Domestic Product by Industrial Origin, Philippines 3-4
at Current Prices, 2015 - 2017
Table 3.1B Gross Regional Domestic Product by Industrial Origin, Philippines 3-4
at Constant 2000 Prices, 2015 - 2017
Table 3.2A Gross Regional Domestic Product by Region 3-5

Table 3.2B Gross Regional Domestic Product by Region 3-5

Table 3.3A Gross Regional Domestic Product by Industrial Origin, CAR 3-6
Table 3.3B Gross Regional Domestic Product by Industrial Origin, CAR 3-6
Table 3.4A Per Capita Gross Regional Domestic Product by Region 3-7
Table 3.4B Per Capita Gross Regional Domestic Product by Region 3-7
Table 3.5A Expenditure on Gross Regional Domestic Product, Philippines 3-8

Table 3.5B Expenditure on Gross Regional Domestic Product, Philippines 3-8

Table 3.6A Expenditure on Gross Regional Domestic Product by Region 3-9

Table 3.6B Expenditure on Gross Regional Domestic Product by Region 3-9

Table 3.7A Expenditure on Gross Regional Domestic Product, CAR 3-10

Table 3.7B Expenditure on Gross Regional Domestic Product, CAR 3-10

Table 3.8A Per Capita Personal Consumption Expenditure, by Region 3-11

Table 3.8B Per Capita Personal Consumption Expenditure, by Region 3-11

Figure 3.1 Gross Regional Domestic Product by Region at Constant 2000 Prices, 2017 3-3
Figure 3.2gure 3.2 Per Capita Gross Regional Domestic Product by Region 3-33-33-3
at Constant 2000 Prices, 2017
Figure 3.3 Expenditure on Gross Regional Domestic Product by Region 3-12

Figure 3.4 Per Capita Personal Consumption Expenditures, by Region 3-12

3-2
Fig. 3.1 Gross Regional Domestic Product by Region
at Constant 2000 Prices: 2017
3,500,000,000
3,000,000,000
In Thousand Pesos
2,500,000,000
2,000,000,000
1,500,000,000
1,000,000,000
500,000,000
0
NCR CAR I II III IVA IVB V VI VII VIII IX X XI XII XIII ARMM
Region
Fig. 3.2 Per Capita Gross Regional Domestic Product by Region

at Constant 2000 Prices: 2017
300,000
250,000
200,000
In Pesos
150,000
100,000
50,000
-
Region
3-3
Table 3.1A
GROSS DOMESTIC PRODUCT BY INDUSTRIAL ORIGIN, PHILIPPINES
AT CURRENT PRICES
2015-2017
(In Thousand Pesos)
INDUSTRY/YEAR 2015 2016 2017

AGRI., HUNTING, FORESTRY AND FISHING 1,366,866,107 1,398,062,884 1,526,654,309
a. Agriculture and Forestry 1,173,088,126 1,212,872,372 1,329,426,300
b. Fishing 193,777,981 185,190,512 197,228,010
INDUSTRY SECTOR 4,116,021,570 4,452,106,965 4,813,399,511
a. Mining and Quarrying 108,109,149 114,330,493 134,513,522
b. Manufacturing 2,669,221,660 2,847,596,777 3,074,574,624
c. Construction 904,509,915 1,034,278,583 1,116,365,285
d. Electricity, Gas and Water Supply 434,180,846 455,901,114 487,946,079
SERVICE SECTOR 7,839,153,596 8,629,774,762 9,466,305,002
a. Transport, Storage & Communication 856,051,091 909,268,787 962,540,134
b. Trade and Repair of Motor Vehicles, Motorcycles, 2,412,095,615 2,652,835,187 2,919,613,012
Personal and Household Goods
c. Financial Intermediation 1,063,668,462 1,168,611,280 1,297,428,490
d. Real Estate, Renting & Business Activities 1,698,078,607 1,898,993,422 2,084,798,398
e. Public Administration & Defense, 512,992,037 575,043,310 648,403,698
Compulsory Social Security
f. Other Services 1,296,267,785 1,425,022,776 1,553,521,271
GROSS DOMESTIC PRODUCT 13,322,041,273 14,479,944,611 15,806,358,823
Notes: 1) Data for 2015-2017 are estimates as of April 2018.
2) Please see notes at the end of this chapter.
Table 3.1B
GROSS DOMESTIC PRODUCT BY INDUSTRIAL ORIGIN, PHILIPPINES
AT CONSTANT 2000 PRICES
2015-2017
(In Thousand Pesos)
AGRI., HUNTING, FORESTRY AND FISHING 719,742,376 710,926,418 739,028,974

a. Agriculture and Forestry 591,268,953 587,579,179 616,780,431
b. Fishing 128,473,423 123,347,239 122,248,543
INDUSTRY SECTOR 2,545,410,569 2,750,034,213 2,947,103,474
b. Manufacturing 1,760,988,746 1,885,514,068 2,043,117,551
c. Construction 456,931,805 512,113,421 539,266,867
SERVICE SECTOR 4,335,022,125 4,661,780,801 4,979,575,059
b. Trade and Repair of Motor Vehicles, Motorcycles, 1,270,525,752 1,367,437,718 1,467,855,231
c. Financial Intermediation 546,714,144 590,111,517 635,063,851
d. Real Estate, Renting & Business Activities 854,747,293 930,684,641 999,493,376
f. Other Services 784,297,455 843,104,609 897,334,960
GROSS DOMESTIC PRODUCT 7,600,175,069 8,122,741,433 8,665,707,506
Note: Data for 2015-2017 are estimates as of April 2018.
3-4
Table 3.2A
GROSS REGIONAL DOMESTIC PRODUCT BY REGION
AT CURRENT PRICES
2015-2017
(In Thousand Pesos)
Region/Year 2015 2016 2017

PHILIPPINES 13,322,041,273 14,479,944,611 15,806,358,823
NCR Metro Manila 5,043,596,897 5,526,337,349 6,016,249,210
CAR Cordillera Administrative Region 234,583,094 242,868,004 272,267,998
I Ilocos 409,097,791 450,382,549 487,587,377
II Cagayan Valley 236,832,451 251,400,390 280,561,422
III Central Luzon 1,187,307,089 1,304,052,510 1,459,629,257
IVA CALABARZON 2,059,547,574 2,142,921,719 2,316,355,788
IVB MIMAROPA 204,848,841 210,488,352 236,468,799
V Bicol 282,759,855 306,539,332 331,676,579
VI Western Visayas 549,753,304 596,202,647 658,002,816
VII Central Visayas 867,162,727 964,876,064 1,032,638,985
VIII Eastern Visayas 271,914,849 311,740,923 320,964,359
IX Zamboanga Peninsula 277,208,133 295,105,827 312,492,153
X Northern Mindanao 517,648,536 576,819,708 626,475,724
XI Davao Region 565,205,235 641,245,739 728,807,009
XII SOCCSKSARGEN 355,960,468 386,407,684 426,170,149
XIII Caraga 159,038,290 167,308,819 180,934,323
ARMM Autonomous Region in
Muslim Mindanao 99,576,138 105,246,996 119,076,875
2) Regional levels may not add up to the national levels due to rounding.
Table 3.2B
GROSS REGIONAL DOMESTIC PRODUCT BY REGION
2015-2017
(In Thousand Pesos)
Region/Year 2015 2016 2017

PHILIPPINES 7,600,175,069 8,122,741,433 8,665,707,506
NCR Metro Manila 2,770,552,677 2,976,234,624 3,158,081,656
I Ilocos 237,178,755 257,277,270 272,257,487
III Central Luzon 706,343,196 773,108,325 844,709,530
IVA CALABARZON 1,302,297,272 1,364,736,594 1,456,088,132
IVB MIMAROPA 122,258,656 125,432,256 133,228,208
V Bicol 155,449,066 164,065,917 172,358,884
VII Central Visayas 482,898,676 524,597,384 551,179,952
XI Davao Region 304,412,137 333,405,134 369,797,076
XIII CARAGA 96,587,795 98,511,669 102,701,036
ARMM Autonomous Region in
Muslim Mindanao 50,582,581 50,802,338 54,514,604
3-5
Table 3.3A
GROSS REGIONAL DOMESTIC PRODUCT BY INDUSTRIAL ORIGIN, CAR
AT CURRENT PRICES
2015-2017
(In Thousand Pesos)

b. Fishing 324,357 343,633 339,812
INDUSTRY SECTOR 113,919,612 112,949,014 133,994,939
b. Manufacturing 82,288,376 86,011,468 102,429,224
c. Construction 20,658,617 15,353,748 19,394,025
SERVICE SECTOR 97,662,720 106,688,015 114,755,115
b. Trade and Repair of Motor Vehicles, 13,863,331 15,228,684 16,528,612
f. Other Services 24,689,732 28,424,766 30,436,208
GROSS DOMESTIC PRODUCT 234,583,094 242,868,004 272,267,998

Table 3.3B
GROSS REGIONAL DOMESTIC PRODUCT BY INDUSTRIAL ORIGIN, CAR
2015-2017
(In Thousand Pesos)

b. Fishing 207,315 226,291 225,782
INDUSTRY SECTOR 67,617,916 67,426,072 80,000,225
b. Manufacturing 53,401,058 55,454,320 66,286,320
c. Construction 9,436,997 6,941,257 8,578,057
SERVICE SECTOR 53,571,847 57,362,125 60,712,728
b. Trade and Repair of Motor Vehicles, 7,321,360 7,865,448 8,498,695
f. Other Services 14,598,983 16,225,814 16,972,480
GROSS DOMESTIC PRODUCT 133,848,201 136,873,913 153,411,322
3-6
Table 3.4A
PER CAPITA GROSS REGIONAL DOMESTIC PRODUCT BY REGION
AT CURRENT PRICES
2015-2017
(In Pesos)
REGION/YEAR 2015 2016 2017

PHILIPPINES 131,171 140,251 150,649
NCR Metro Manila 398,650 432,155 465,691
CAR Cordillera Administrative Region 131,530 133,791 147,383
I Ilocos 79,653 86,608 92,640
II Cagayan Valley 67,707 70,880 78,029
III Central Luzon 106,975 115,769 127,734
IVA CALABARZON 145,786 148,873 158,012
IVB MIMAROPA 66,309 66,762 73,518
V Bicol 46,876 49,859 52,927
VI Western Visayas 71,356 76,322 83,082
VII Central Visayas 116,448 127,489 134,288
VIII Eastern Visayas 59,930 67,475 68,219
IX Zamboanga Peninsula 73,634 77,045 80,205
X Northern Mindanao 109,981 120,623 128,975
XI Davao Region 113,881 126,772 141,430
XII SOCCSKSARGEN 77,396 82,397 89,153
XIII Caraga 58,541 60,354 63,966
ARMM Autonomous Region
2. Data for 1999 in Muslim
are Mindanao
updates as of July 2002. 26,862 27,691 30,557
Table 3.4B
PER CAPITA GROSS REGIONAL DOMESTIC PRODUCT BY REGION
2015-2017
(In Pesos)
REGION/YEAR 2015 2016 2017

PHILIPPINES 74,833 78,676 82,592
NCR Metro Manila 218,987 232,739 244,453
I Ilocos 46,180 49,474 51,728
IVA CALABARZON 92,184 94,811 99,328
IVB MIMAROPA 39,575 39,784 41,421
V Bicol 25,770 26,686 27,504
XI Davao Region 61,335 65,913 71,762
XIII Caraga 35,553 35,537 36,308
ARMM Autonomous Region in Muslim Mindanao 13,646 13,366 13,989
3-7
Table 3.5A
EXPENDITURE ON GROSS DOMESTIC PRODUCT, PHILIPPINES
AT CURRENT PRICES
2015-2017
(In Thousand Pesos)
TYPE OF EXPENDITURE 2015 2016 2017
1. Household Final Consumption Expenditure 9,825,882,527 10,652,012,730 11,613,430,108
2. Government Final Consumption Expenditure 1,455,783,069 1,611,254,109 1,789,742,847
3. Gross Capital Formation 2,826,185,416 3,516,195,403 3,972,403,148

A. Fixed Capital 2,929,032,078 3,556,780,061 3,956,352,621
1. Construction 1,566,901,463 1,825,655,074 1,941,332,780
2. Durable Equipment 1,129,826,470 1,469,207,017 1,706,657,696
3. Breeding Stock & Orchard Development 172,474,216 188,569,807 216,114,412
4. Intellectual Property Products 59,829,929 73,348,163 92,247,733
B. Changes in Inventories (102,846,662) (40,584,658) 16,050,527
4. Net Exports (785,809,738) (1,298,742,207) (1,569,217,279)
GROSS REGIONAL DOMESTIC PRODUCT 13,322,041,273 14,480,720,035 15,806,358,823

Note: Data for 2015-2017 are estimates as of July 2018.
Table 3.5B
EXPENDITURE ON GROSS DOMESTIC PRODUCT, PHILIPPINES
2015-2017
(In Thousand Pesos)
1. Household Final Consumption Expenditure 5,266,631,907 5,632,776,120 5,973,816,321
2. Government Final Consumption Expenditure 783,955,445 850,145,996 914,136,455
3. Gross Capital Formation 1,838,431,568 2,274,792,209 2,504,502,031
A. Fixed Capital 1,800,534,890 2,254,360,765 2,485,451,420

1. Construction 701,802,301 807,475,715 839,966,906
2. Durable Equipment 938,733,269 1,262,541,130 1,431,518,132
4. Intellectual Property Products 60,712,860 81,498,288 107,704,070
B. Changes in Inventories 37,896,678 20,431,444 19,050,611
4. Net Exports (288,843,851) (631,310,892) (726,747,301)
GROSS REGIONAL DOMESTIC PRODUCT 7,600,175,069 8,126,403,433 8,665,707,506

3-8
Table 3.6A
EXPENDITURE ON GROSS REGIONAL DOMESTIC PRODUCT BY REGION
AT CURRENT PRICES
2015-2017
(In Thousand Pesos)
REGION 2015 2016 2017

PHILIPPINES 13,322,041,273 14,479,944,611 15,806,358,823
NCR NCR Metro Manila 5,043,596,897 5,526,337,349 6,016,249,210
I Ilocos 409,097,791 450,382,549 487,587,377
III Central Luzon 1,187,307,089 1,304,052,510 1,459,629,257
IVA CALABARZON 2,059,547,574 2,142,921,719 2,316,355,788
IVB MIMAROPA 204,848,841 210,488,352 236,468,799
V Bicol 282,759,855 306,539,332 331,676,579
VII Central Visayas 867,162,727 964,876,064 1,032,638,985
XI Davao Region 565,205,235 641,245,739 728,807,009
XIII Caraga 159,038,290 167,308,819 180,934,323
in Muslim Mindanao 99,576,138 105,246,996 119,076,875
Notes: 1) Data for 2015-2017 are estimates as of July 2018.
2) Regional levels may not add up to the national levels due to rounding.
3) Please see end notes at the end of this chapter.
Table 3.6B
EXPENDITURE ON GROSS REGIONAL DOMESTIC PRODUCT BY REGION
2015-2017
(In Thousand Pesos)
REGION 2015 2016 2017

PHILIPPINES 7,600,175,069 8,122,741,433 8,665,707,506
NCR NCR Metro Manila 2,770,552,677 2,976,234,624 3,158,081,656
I Ilocos 237,178,755 257,277,270 272,257,487
III Central Luzon 706,343,196 773,108,325 844,709,530
IVA CALABARZON 1,302,297,272 1,364,736,594 1,456,088,132
IVB MIMAROPA 122,258,656 125,432,256 133,228,208
V Bicol 155,449,066 164,065,917 172,358,884
VII Central Visayas 482,898,676 524,597,384 551,179,952
XI Davao Region 304,412,137 333,405,134 369,797,076
XIII Caraga 96,587,795 98,511,669 102,701,036
in Muslim Mindanao 50,582,581 50,802,338 54,514,604
3-9
Table 3.7A
EXPENDITURE ON GROSS REGIONAL DOMESTIC PRODUCT, CAR
AT CURRENT PRICES
2015-2017
(In Thousand Pesos)
1. Household Final Consumption Expenditure 159,376,303 170,774,321 181,054,233
3. Gross Capital Formation 27,565,945 38,357,608 48,261,992
A. Fixed Capital 52,454,636 43,542,673 46,868,787

1. Construction 34,211,960 24,959,882 31,544,135
2. Durable Equipment 14,002,791 14,188,540 10,021,865
4. Intellectual Property Products 117,601 150,164 197,651
B. Changes in Inventories (24,888,691) (5,185,065) 1,393,205
4. Net Exports 20,889,109 4,189,073 10,544,542
GROSS REGIONAL DOMESTIC PRODUCT 234,583,094 242,868,004 272,267,998

Table 3.7B
EXPENDITURE ON GROSS REGIONAL DOMESTIC PRODUCT, CAR
2015-2017
(In Thousand Pesos)
1. Household Final Consumption Expenditure 85,607,052 90,401,016 94,483,098
3. Gross Capital Formation 31,258,988 19,264,504 23,696,118
A. Fixed Capital 25,995,249 21,911,191 22,791,890

1. Construction 13,900,864 9,970,644 12,354,548
2. Durable Equipment 9,936,711 9,753,057 8,082,547
4. Intellectual Property Products 73,031 114,774 178,388
B. Changes in Inventories 5,263,739 (2,646,688) 904,229
4. Net Exports 2,576,051 11,618,509 18,679,654
GROSS REGIONAL DOMESTIC PRODUCT 133,848,201 136,873,913 153,411,322

3 - 10
Table 3.8A
PER CAPITA HOUSEHOLD FINAL CONSUMPTION EXPENDITURE, BY REGION
AT CURRENT PRICES
2015-2017
(In Pesos)
REGION 2015 2016 2017

PHILIPPINES 96,747 103,376 110,687
NCR NCR Metro Manila 171,995 183,152 196,388
I Ilocos 85,237 91,301 96,550
IVA CALABARZON 110,825 117,022 125,583
IVB MIMAROPA 71,187 75,772 80,763
V Bicol 72,936 77,084 83,583
XI Davao Region 79,384 87,415 95,100
XIII Caraga 66,789 69,614 73,181
Notes: 1) Data for 2015-2017 are estimates as of July 2018.
2) Please see end notes at the end of this chapter.
Table 3.8B
PER CAPITA HOUSEHOLD FINAL CONSUMPTION EXPENDITURE, BY REGION
2015-2017
(In Pesos)
REGION 2015 2016 2017

PHILIPPINES 51,856 54,652 56,936
NCR NCR Metro Manila 97,265 102,712 106,335
I Ilocos 47,748 50,443 52,512
IVA CALABARZON 60,430 63,513 66,579
IVB MIMAROPA 39,551 41,404 43,507
V Bicol 37,994 39,873 41,512
XI Davao Region 42,043 45,027 47,477
XIII Caraga 31,097 31,938 32,915
3 - 11
GRDE (C
Fig. 3.3 Expenditure on Gross Regional Domestic Product
by Region at Constant 2000 Prices: 2017 NCR
CAR
I
3,500,000,000.00
II
III
3,000,000,000.00 IVA
IVB
V
2,500,000,000.00 VI
VII
In Thousand Pesos
VIII
2,000,000,000.00 IX
X
XI
1,500,000,000.00
XII
XIII
1,000,000,000.00 ARMM
500,000,000.00
-
Region
GRDE P
Fig. 3.4 Per Capita Personal Consumption Expenditure
by Region at Constant 2000 Prices: 2017 NCR
CAR
120,000 I
II
III
IVA
100,000
IVB
V
VI
80,000 VII
VIII
IX
In Pesos
X
60,000
XI
XII
XIII
40,000 ARMM
20,000
-
Region
3 - 12
Chapter 4
ENVIRONMENT &
NATURAL RESOURCES
Data on the region’s natural resources and some indicators of its environmental
condition are necessary in the formulation of policies and programs designed to bring
about a more effective environmental protection and resource utilization. A growing
awareness and national concern for the country’s natural resources and environmental
condition has been demonstrated during the past years. This resulted from the
development vision long espoused by national and local leaders and the worldwide
goal towards sustainable development. The said goal, now a global advocacy, implies
a balance between resource utilization and the development, protection, and
conservation of the country’s environment and natural resources. In this fashion,
development will benefit not only today’s generation but the future ones as well. All
these concerns underscore the need for more reliable, timely, and comprehensive
data. The data are critical to the government, private sector and even the international
community in their formulation of measures to safeguard the environment and natural
resources and to remedy destruction and degradation of these areas.
This chapter presents data on existing and available land, forest, mineral resources,
and watershed areas of the region and its provinces. Also included in this chapter are
statistics on forest destruction and area reforested in the region. Meanwhile, the
environmental statistics presented pertain to results of resource extraction and
climatological occurrences. The data sources include the Department of Environment
and Natural Resources, Mines and Geosciences Bureau, and the Philippine
Atmospheric, Geophysical and Astronomical Services Administration.
HIGHLIGHTS
• As of 2017, the total land area of CAR was estimated at 1,865,660 hectares. Of
this area, 15.1 percent are Certified Alienable and Disposable Lands while 84.9
percent are Forest Lands.
• As of January 1, 2018, there were 46 major proclaimed forest and watershed
reservations in CAR covering an area of about 1,540,914 hectares or 85.1 percent
of the total land area of the Cordilleras.
• Log production in CAR increased by 31.98 percent or from 864 cubic meters in
2016 to 1,140 cubic meters in 2017.
4-1
Table 4.1 Status of Land Classification by Province, 2014 - 2017 4-3
Table 4.2 Land Use Cover, as of December 2017 4-5
Table 4.3 Major Proclaimed Forest and Watershed Reservations by Province, 4-6
as of January 1, 2018
Table 4.4A Volume and Estimated Value of Mineral Production, Metallic, 4-7
by Province, 2015 - 2017
Table 4.4B Volume and Estimated Value of Mineral Production, Non-Metallic, 4-8
by Province, 2015 - 2017
Table 4.5 Log Production, Philippines and CAR, 2011 - 2017 4-9
Table 4.6 Lumber Production by Province, 2011 - 2017 4-9
Table 4.7 Production of Non-Timber Products, 2011 - 2017 4-9
Table 4.8A Forest Destruction by Cause, 1996 - 2015 4-10
Table 4.8B Forest Destruction by Cause and Province, 2015 4-10
Table 4.9 Area Reforested by Government and Private Sector, 2007 - 2017 4-11
Table 4.10 Total Amount of Rainfall by Month, 2006-2016 4-12
Figure 4.1 Land Use in CAR, as of December 2016 4-5
Figure 4.2 Area Reforested by DENR, 2005-2015 4-11
4-2
Table 4.1
STATUS OF LAND CLASSIFICATION BY PROVINCE
2014 - 2017
(In hectares)
Area/Land Classification 2014 2015 2016 2017
CAR 1,865,660 1,865,660 1,865,660 1,865,660
Certified Alienable & Disposable 282,543 282,543 282,543 282,543

Forest Land 1,583,117 1,583,117 1,583,117 1,583,117
Unclassified Forest Land 357,431 357,431 357,431 357,431
Classified Forest Lands 1,225,686 1,225,686 1,225,686 1,225,686
Forest Reserve/Public Forest 1,074,884 1,074,884 1,074,884 1,074,884
Mineral Reservation 1,087 1,087 1,087 1,087
Military Reservation 15,230 15,230 15,230 15,230
National Park/Protected Areas 134,485 134,485 134,485 134,485
Other Wooded Lands
Built-up Areas
Abra 385,692 385,692 385,692 385,692

Forest Land 288,433 288,433 288,433 288,433
Unclassified Forest Land
Classified Forest Lands 288,433 288,433 288,433 288,433
Forest Reserve/Public Forest 286,629 286,629 286,629 286,629
Mineral Reservation
National Park/Protected Areas 61 61 61 61
Other Wooded Lands
Built-up Areas
Apayao 423,613 423,613 423,613 423,613

Forest Land 379,534 379,534 379,534 379,534
Mineral Reservation
Military Reservation 8 8 8 8
National Park/Protected Areas
Other Wooded Lands
Built-up Areas
Benguet 305,117 305,117 305,117 305,117

Forest Land 245,515 245,515 245,515 245,515
Mineral Reservation 13,487 13,487 13,487 13,487
Other Wooded Lands
Built-up Areas
Source: Department of Environment and Natural Resources
4-3
Table 4.1 Continued
STATUS OF LAND CLASSIFICATION BY PROVINCE
2014 - 2017
(In hectares)
Area/Land Classification 2014 2015 2016 2017
Ifugao 258,282 258,282 258,282 258,282

Forest Land 233,307 233,307 233,307 233,307
Mineral Reservation
Other Wooded Lands
Built-up Areas
Kalinga 264,892 264,892 264,892 264,892

Forest Land 223,710 223,710 223,710 223,710
Mineral Reservation
Military Reservation
Other Wooded Lands
Built-up Areas
Mt. Province 228,064 228,064 228,064 228,064

Forest Land 212,617 212,617 212,617 212,617
Mineral Reservation
Other Wooded Lands
Built-up Areas
4-4
Table 4.2
LAND USE COVER
As of December 2017
(Area in hectares)
Land Use / CAR Abra Apayao Benguet Baguio Ifugao Kalinga Mt.
Forest Type Province
Closed Forest 254,367.1 35,119.9 124,430.9 5,712.3 12,709.1 39,468.3 36,926.5

broad-leaved 214,754.5 21,266.5 124,037.0 1,617.2 11,949.2 34,347.2 21,537.4
coniferous 13,868.3 9,285.6 4.5 4,032.8 0.5 49.9 495.0
mixed 25,744.4 4,567.8 389.4 62.4 759.4 5,071.1 14,894.2
Forest Plantation 14,415.1 1,999.4 10,023.3 246.0 8.4 - - 2,137.9

broad-leaved 12,632.9 1,999.4 10,023.3 246.0 - - - 364.2
coniferous 1,773.8 - - 0.1 - - - 1,773.7
mixed 8.4 - - - 8.4 - - -
Inland Water 23,196.6 7,650.2 4,614.0 2,951.9 - 4,394.5 2,165.4 1,420.5
Open Forest 532,295.4 100,008.5 101,620.7 129,702.4 1,482.7 91,697.7 39,776.7 68,006.8
broad-leaved 324,118.0 53,991.9 101,620.7 21,465.3 - 87,935.0 31,895.5 27,209.6
coniferous 158,231.6 34,890.4 - 78,581.2 1,342.7 3,762.7 7,066.3 32,588.3
mixed 49,945.8 11,126.2 - 29,655.9 140.0 - 814.9 8,208.8
Other Land 404,047.6 57,556.1 50,418.3 60,314.5 3,332.3 81,105.0 92,674.4 58,646.9
built-up area 15,956.6 2,053.2 2,138.9 3,059.3 2,936.3 2,107.8 1,829.1 1,832.0
cultivated, annual crop 230,885.8 29,737.3 41,484.2 37,395.0 365.3 48,644.9 44,577.8 28,681.4
cultivated, perennial crop 2,401.8 434.3 748.8 1.9 - 139.4 374.8 702.7
natural, barren land 13,170.9 7,053.1 1,580.7 1,022.8 - 562.6 2,943.4 8.3
natural, grassland 141,632.6 18,278.2 4,465.9 18,835.5 30.7 29,650.4 42,949.4 27,422.6
Other Wooded Land 637,338.0 183,357.5 132,506.2 100,456.3 909.7 68,375.2 90,807.6 60,925.4
fallow 209.6 106.1 17.6 - - - 4.1 81.7
shrubs 297,130.0 59,941.4 99,948.7 17,231.3 92.4 23,130.1 54,905.8 41,880.4
wooded grassland 339,998.5 123,310.0 32,539.9 83,225.0 817.4 45,245.2 35,897.8 18,963.3
Source: NAMRIA, Department of Environment and Natural Resources
Figure 4.1 Land Use in CAR, as of December 2017
Forest Plantation
Closed Forest 1%
14% Inland Water
1%
Other Wooden
Land
34%
Open Forest
28%
Other Land
22%
4-5
Table 4.3
MAJOR PROCLAIMED FOREST AND WATERSHED RESERVATIONS BY PROVINCE
as of January 1, 2018
(Area in hectares)
Area Name of Watershed Number Area Proclamation

No. Date
CAR 46 1,540,913.96
Abra 3 289,844.95
Abulog River Forest Reserve 2,034.49 573 June 26, 1969
Central Cordillera Forest Resrve 285,817.75 217 February 16. 1929
Chico River Forest Reserve 1,992.71 573 June 26, 1969
Apayao 4 296,477.57
Abulog Forest Reserve 189,786.47 573 June 26, 1969
Central Conner Forest Reserve 75,090.54 217 February 16. 1929
Abulog Forest Reserve 13,073.32 573 June 26, 1969
Central Conner Forest Reserve 18,527.24 126 November 25, 1966
Benguet* 19 275,202.77
Buyog Forest Reserve 19.77 93 Nov. 5, 1992
Ambuklao-Binga Watershed Reservation 79,726.08 548 April 19, 1969
SRMPD Watershed Forest Reservation(DENR Area) 28,175.45 2320 Nov. 22, 1993
SRMPD Watershed Forest Reservation(NPC Area) 6,719.48 2320 Nov. 22, 1993
Lucnab Watershed Forest Reserve 4.80 178 May 12, 1993
Crystal Cave Forest Reserve 2.44 16 April 27, 1922
Busol Forest Reserve 313.96 15 April 2, 1922
Ambuklao Forest Reserve 9,467.84 120 November 25, 1966
Forbes Park Forest Reserve(Parcel 2) 15.65 10 October 12, 1915
Forbes Park Forest Reserve(Parcel 1) 27.81 10 October 12, 1915
Forbes Park Forest Reserve (Parcel 3) 14.74 10 October 12, 1915
Magat River Forest Reserve(CAR Side) 5,992.26 573 June 26, 1969
Central Cordillera Forest Reserve 134,962.73 217 February 16. 1929
Chico River Forest Reserve 544.24 573 June 26, 1969
Asin Forest Reserve 2,033.07 677 February 5, 1941
Hapol-agan Forest Reserve 10.86 158 September 22, 1987
Camp John Hay 714.91 E.O. 1907 May 18, 1907
Marcos Highway Forest Reserve 3,350.72 1774 June 8, 1978
Mount Sto. Tomas Forest Reserve(LC) 3,105.98 581 July 8, 1940
Ifugao 10 286,870.45
Ambuklao-Binga Watershed Reservation 953.73 548 April 19, 1969
Natonin Forest Reserve 1,024.17 166 December 13, 1969
Mt. Sto. Domingo Forest Reserve 4,041.92 73 August 9, 1966
Bontoc-Ifugao Forest Reserve(Lot 1) 779.96 636 October 19, 1940
Magat River Forest Reserve(CAR Side) 177,758.41 573 June 26, 1969
Central Mayoyao Forest Reserve 11,950.46 156 February 13,1967
Ifugao-Isabela Forest Reserve 34,949.68 August 9, 1969
Kalinga 3 232,406.57
Natonin-Tanudan Forest Reserve 5,249.03 85 August 9, 1966
Mt. Province 7 160,111.65
Ambuklao-Binga Watershed Reservation 246.90 548 April 19, 1969
Natonin-Tanudan Forest Reserve 10,213.94 85 August 9, 1966
Natonin Forest Reserve 4,819.63 166 December 13, 1969
Magat River Forest Reserve(CAR Side) 683.55 573 June 26, 1969
Notes: * Including Baguio City.
4-6
Table 4.4A
VOLUME AND ESTIMATED VALUE OF MINERAL PRODUCTION
METALLIC, BY PROVINCE
2015 - 2017
(Value in pesos)
2015 2016 2017
PROVINCE/MINERAL UNIT
Qty. Value Qty. Value Qty. Value
CAR 11,082,197,743 12,459,531,396 12,356,354,471

Gold kg. 4,676 7,457,135,746 4,411 8,558,744,471 3,658 7,429,082,125
Gold (SSM) kg. 0 0 0 0 6 5,765,000
Silver kg. 4,845 104,789,162 4,394 118,923,247 4,502 239,393,556
Copper (Metal) MT 85,459 … 88,969 … 13,608
Zinc (Metal) MT - - - - -
Copper Concentrate DMT 69,988 3,520,272,835 73,109 3,781,863,677 65,300 4,682,113,790
Benguet 11,082,197,743 12,459,531,396 12,356,354,471

Gold kg. 4,676 7,457,135,746 4,411 8,558,744,471 3,658 7,429,082,125
Gold (SSM) kg. 0 0 0 0 6 5,765,000
Silver kg. 4,845 104,789,162 4,394 118,923,247 4,502 239,393,556
Copper (Metal) MT 85,459 … 88,969 … 13,608
Zinc (Metal) MT - - - - -
Copper Concentrate DMT 69,988 3,520,272,835 73,109 3,781,863,677 65,300 4,682,113,790
Source: Mines and Geosciences Bureau
Table 4.4B
VOLUME AND ESTIMATED VALUE OF MINERAL PRODUCTION,
NON- METALLIC, BY PROVINCE
2015 - 2017
(Value in pesos)
2015 2016 2017
PROVINCE/MINERAL UNIT
Qty Value Qty Value Qty Value
CAR 212,019,155 240,571,018 653,696,686
Sand and Gravel cu.m. 903,155 152,621,915 770,275 163,621,607 1,148,823 577,140,646
Quicklime/filling materials MT/cu. m. 7,848 59,069,664 9,254 76,744,198 9,380 76,205,755
Slakelime for industrial use MT 53 327,575 3,202 205,213 54 350,285
Abra - - -
Sand and Gravel cu.m. - - - - - -
Apayao 35,850,195 86,922,215 86,267,109

Sand and Gravel cu.m. 358,502 35,850,195 354,822 86,922,215 406,813 86,267,109
Benguet 96,321,201 106,285,487 94,477,293

Quicklime/filling materials MT/cu.m. 7,848 59,069,664 9,254 76,744,198 9,380 76,205,755
Slakelime for industrial use MT 53 327,575 3,202 205,213 54 350,285
Ifugao 5,207,874 4,140,637 12,990,340

Kalinga 10,413,840 248,200 2,000,000

Sand and Gravel cu.m. 26,035 10,413,840 9,928 248,200 4,000 2,000,000
Mt. Province 64,226,045 42,974,479 457,961,944

Source: Mines and Geosciences Bureau
4-7
Table 4.5
LOG PRODUCTION, PHILIPPINES AND CAR
2011 - 2017
(In Cubic Meters)
Region 2011 2012 2013 2014 2015 2016 2017
PHILIPPINES 877,410 862,430 1,196,902 … … … …

CAR 1,374 1,161 158 834 1,458 864 1,140
Table 4.6
LUMBER PRODUCTION BY PROVINCE
2011 - 2017
(In Cubic Meters)
Product 2011 2012 2013 2014 2015 2016 2017
CAR 882 292 389 990 760 544 501

Abra … … 165 188 164 105 175
Apayao … … 79 264 174 69 -
Benguet … … 122 291 156 192 228
Ifugao … … 13 195 195 150 59
Kalinga … … 11 30 64 20 38
Mt. Province … … - 21 7 8 -
Table 4.7
PRODUCTION OF NON-TIMBER FOREST PRODUCTS
2011 - 2017
Product 2011 2012 2013 2014 2015 2016 2017
Bamboo Poles 23,105 19,705 49,959 12,411 7,920 5,135 6,216

Rattan (Unsplit) … … 67,238 … … … …
Runo Stick … … … … … … …
4-8
Table 4.8A
FOREST DESTRUCTION BY CAUSE
1996-2015
(Area in hectares)
Pest /
Year Total Kaingin Forest Fire Illegal Logging Others
Diseases
1996 342.0 … 342.0 … - -
1997 645.0 … 645.0 … - -
1998 7,363.0 … 7,363.0 … - -
1999 128.0 … 95.0 33.0 - -
2000 118.0 3.0 35.0 61.0 - 19.0
2001 … … … … … …
2002 645.4 - 644.5 0.8 - -
2003 26.9 - 26.3 0.6 - -
2004 71.5 - 71.3 0.3 - -
2005 258.6 15.8 240.9 1.9 - -
2006 563.4 2.3 560.1 1.0 - -
2007 66.1 4.3 61.3 0.5 - -
2008 23.1 3.0 19.9 0.2 - -
2009 15.4 1.1 13.8 0.6 - -
2010 1,678.6 62.2 1,616.2 0.2 - -
2011 11.3 - 8.8 2.6 - -
2012 11.9 1.4 7.8 2.8 - -
2013 256.4 93.5 160.7 0.6 1.6 0.0
2014 553.3 87.7 464.1 1.5 0.0 0.0
2015 671.3 60.7 608.4 2.2 0.0 0.0
Table 4.8B
FOREST DESTRUCTION BY CAUSE AND PROVINCE
2015
(Area in hectares)
Pest /
Province Total Kaingin Forest Fire Illegal Logging Others
Diseases
CAR 671.3 60.7 608.4 2.2 0.0 0.0

Abra 34.9 0.0 34.8 0.2 0.0 0.0
Apayao 1.1 0.0 0.0 1.1 0.0 0.0
Benguet 490.4 28.0 461.9 0.6 0.0 0.0
Ifugao 20.8 0.4 20.3 0.2 0.0 0.0
Kalinga 48.1 4.0 44.1 0.0 0.0 0.0
Mt. Province 75.9 28.3 47.4 0.2 0.0 0.0
4-9
Table 4.9
AREA REFORESTED BY GOVERNMENT AND PRIVATE SECTOR
2009-2017
(Area in hectares)
Grand Government Non-Government*

YEAR
Total Total DENR Others Total Private TLA Mining Others
CAR
2009 7,775.0 7,775.0 7,775.0 - - - - - -
2010 2,244.0 2,244.0 2,244.0 - - - - - -
2011 6,933.1 6,498.0 6,498.0 - 435.1 435.1 - - -
2012 9,464.0 9,464.0 9,464.0 - - - - - -
2013 28,198.8 27,522.8 20,414.3 7,108.6 676.0 676.0 - - -
2014 25,955.6 25,664.3 24,179.0 1,485.3 291.3 291.3 - - -
2015 28,838.0 14,658.0 14,658.0 - 14,180.0 1,430.0 - - 12,750.0
2016 … … … … … … … … …
2017 14,281.0 14,281.0 14,281.0 - - - - - -
Note: In CAR, the private sector conducts reforestation in the following areas: private plantations,
Timber License Agreement (TLA) areas, mining reservations and others.
Fig 4.2 Area Reforested by DENR, 2005-2015

35,000.0
30,000.0
25,000.0
Hectare
20,000.0
15,000.0
10,000.0
5,000.0
0.0
2007 2008 2009 2010 2011 2012 2013 2014 2015
Year
4 - 10
Table 4.10
TOTAL AMOUNT OF RAINFALL BY MONTH
2007-2016
(In millimeters)
MONTH 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
January T 24.0 8.0 T 94.0 17.5 11.4 - 10.8 5.2

February 0.6 97.0 64.5 T 13.8 80.3 26.8 T 7.3 4.2
March 31.8 78.7 82.9 15.3 88.9 151.9 63.6 5.9 57.1 9.4
April 25.4 149.8 407.3 148.6 11.9 72.6 70.3 126.3 121.8 62
May 308.6 839.8 398.5 242.6 462.5 207.7 338.7 213.0 245.5 213.28
June 358.4 307.0 810.0 254.0 529.1 659.0 232.8 401.7 282.5 176.3
July 219.0 681.2 758.4 543.7 435.9 1,020.2 368.2 449.2 1493.9 426.87
August 1,201.6 999.5 1,087.7 536.6 1,096.3 2,207.0 1220.4 527.9 1031.6 955.6
September 408.4 761.0 516.9 296.8 819.2 288.3 590.1 980.4 233.58 412.1
October 410.3 178.1 1,981.8 920.1 332.4 72.4 240.0 107.1 1212.2 583.2
November 444.8 82.6 22.2 226.4 81.6 57.8 53.5 39.2 8.0 23.2
December 21.6 T - 47.4 67.4 10.8 23.6 9.5 167.1 82.0
TOTAL 3,430.5 4,198.7 6,138.2 3,231.5 4,033.0 4,845.5 3,239.4 2,860.2 4,871.4 2,953.4
Notes: T- less than 0.1 mm
Source: Philippine Atmospheric, Geophysical and Astronomical Services Administration
4 - 11
Chapter 5
AGRICULTURE &
AGRARIAN REFORM
Data on agriculture and agrarian reform are vital in guiding our concerned decision-
makers, administrators and lawmakers. This is anchored on the situation where
agriculture still plays a major role in the growth and stability of the region’s economy.
More than half the population is dependent on agriculture for livelihood. Furthermore,
the sector is a major source of food needed for the survival of the population. These
factors then mandate the key players in government to give priority to agriculture
development. This also means focusing on the agrarian reform program in order to
promote social justice, sound rural development and industrialization. Specifically, the
data provided objective bases for redirecting the focus of legislation and plans for the
development of the agriculture and fishery sectors and the implementation of the
agrarian reform agenda. The data also provide indicators of the successes and impacts
of strategies/programs/projects in the lives of farmers and fisher-folks in the
countryside. The status and trends portrayed by the data are used in redefining the
beneficiaries of interventions in these sectors. In this manner, the systems of
monitoring and assessment of programs/projects can be better sharpened and
refocused to give greater attention to problems and potential areas.
This chapter presents regional and provincial data on crops, livestock, poultry, fishery,
number and area of farms by size, status of the Comprehensive Agrarian Reform
Program (CARP) and number of registered and re-registered cooperatives. The
statistics on crop, livestock, poultry and fishery are sourced from the Philippine
Statistics Authority (PSA) which generated the data from the results of the various
surveys regularly conducted by the office. Another data from the PSA is the number
and size of farms using the results of the Census of Agriculture and Fisheries
undertaken nationwide in 1980, 1991 and 2002. The data on the implementation of the
CARP were gathered from the Department of Agrarian Reform based on the
administrative reports prescribed by the Department while the data on cooperatives
were taken from the Cooperative Development Authority.
HIGHLIGHTS
• Palay production increased by 16.24 percent or from 382,848 metric tons in 2016 to
445,006 in 2017.
• Corn production increased by 21.82 percent or from 199,355 metric tons in 2016 to
242,850 metric tons in 2017.
5-1
Table 5.1 Palay Production, Area Harvested and Average Yield by Province, 5-3
2011 - 2017
Table 5.2 Corn Production, Area Harvested and Average Yield by Province, 5-6
2011 - 2017
Table 5.3 Crop Production by Kind of Crop and Area Harvested by Province, 5-8
2011 - 2017
Table 5.4 Number and Area of Farms by Size and Province, Census Years 1980,1991 5-14
and 2002
Table 5.5 Inventory of Livestock and Poultry by Kind, Type of Farm and Province 5-15
January 1, 2015 - 2018
Table 5.6 Animals Slaughtered by Kind and Province, 2012 - 2017 5-17
Table 5.7 Fish Production by Province, 2011 - 2017 5-18
Table 5.8 Fish Production by Type of Production, 2011 - 2017 5-19
Table 5.9 Land Acquisition and Distribution by Province, 2000 - 2015 5-20
Table 5.10 Number of Registered Cooperatives by Province and City, 5-22

as of December 31, 2016
Figure 5.1 Palay Production and Area Harvested, CAR: 2011 - 2017 5-5
Figure 5.2 Corn Production and Area Harvesred, CAR: 2011 – 2017 5-5
Figure 5.3 Fish Production in CAR, 2011 - 2017 5-18
Figure 5.4 Fish Production by Type of Production in CAR, 2011 - 2017 5-19
5-2
Table 5.1
PALAY PRODUCTION, AREA HARVESTED AND AVERAGE YIELD BY PROVINCE
2011 - 2017
(Production in metric tons; Area harvested in hectares; and
Average yield in metric tons per hectare)
Province 2011 2012 2013 2014 2015 2016 2017
CAR
Production 428,949 453,461 460,170 452,609 400,911 382,848 445,006

Irrigated 364,657 385,958 394,671 389,732 345,847 334,494 389,558
Rainfed 64,292 67,503 65,499 62,877 55,064 48,354 55,448
Area Harvested 118,779 120,100 119,919 118,476 111,482 110,640 115,555
Irrigated 93,043 94,068 94,352 93,301 86,521 88,006 92,205
Rainfed 25,736 26,032 25,567 25,175 24,961 22,634 23,350
Yield/Hectare 3.61 3.78 3.84 3.82 3.60 3.46 3.85
Irrigated 3.92 4.10 4.18 4.18 4.00 3.80 4.22
Rainfed 2.50 2.59 2.56 2.50 2.21 2.14 2.37
Abra
Production 80,428 82,333 79,444 75,500 66,716 65,159 69,477

Irrigated 53,373 55,219 54,639 52,363 47,320 44,332 48,119
Rainfed 27,055 27,114 24,805 23,137 19,396 20,273 21,358
Area Harvested 23,882 24,023 24,031 24,056 23,987 23,993 24,014
Irrigated 14,804 14,915 14,920 14,950 14,927 14,919 14,934
Rainfed 9,078 9,108 9,111 9,106 9,060 9,074 9,080
Yield/Hectare 3.37 3.43 3.31 3.14 2.78 2.72 2.89
Irrigated 3.61 3.70 3.66 3.50 3.17 2.97 3.22
Rainfed 2.98 2.98 2.72 2.54 2.14 2.23 2.35
Apayao
Production 98,489 105,891 106,741 101,158 96,453 86,430 103,335

Irrigated 71,224 76,320 77,589 72,925 71,204 68,741 81,192
Rainfed 27,265 29,571 29,152 28,233 25,249 17,689 22,143
Area Harvested 29,376 29,429 28,942 27,566 27,552 24,950 26,245
Irrigated 17,319 17,372 17,358 16,267 16,270 15,968 16,877
Rainfed 12,057 12,057 11,584 11,299 11,282 8,982 9,368
Yield/Hectare 3.35 3.60 3.69 3.67 3.50 3.46 3.94
Irrigated 4.11 4.39 4.47 4.48 4.38 4.30 4.81
Rainfed 2.26 2.45 2.52 2.50 2.24 1.97 2.36
Benguet
Production 15,790 16,696 17,491 17,355 18,144 18,145 20,276

Irrigated 14,038 14,560 15,295 15,201 15,905 15,588 17,816
Rainfed 1,752 2,136 2,196 2,154 2,239 2,557 2,460
Area Harvested 5,994 6,286 6,286 6,286 6,284 6,564 6,976
Irrigated 5,081 5,200 5,200 5,200 5,200 5,276 5,755
Rainfed 913 1,086 1,086 1,086 1,084 1,288 1,221
Yield/Hectare 2.63 2.66 2.78 2.76 2.89 2.76 2.91
Irrigated 2.76 2.80 2.94 2.92 3.06 2.95 3.10
Rainfed 1.92 1.97 2.02 1.98 2.07 1.99 2.01
5-3
Table 5.1 Continued
PALAY PRODUCTION, AREA HARVESTED AND AVERAGE YIELD BY PROVINCE
2011 - 2017
(Production in metric tons; Area harvested in hectares; and
Province 2011 2012 2013 2014 2015 2016 2017
Ifugao
Production 61,903 62,465 63,379 63,076 63,362 60,866 62,387

Irrigated 60,202 60,660 61,566 61,263 61,551 59,102 60,591
Rainfed 1,701 1,805 1,813 1,813 1,811 1,764 1,796
Area Harvested 17,193 17,193 17,234 17,259 17,259 17,253 17,248
Irrigated 16,336 16,336 16,374 16,399 16,399 16,393 16,388
Rainfed 857 857 860 860 860 860 860
Yield/Hectare 3.60 3.63 3.68 3.65 3.67 3.53 3.62
Irrigated 3.69 3.71 3.76 3.74 3.75 3.61 3.70
Rainfed 1.98 2.11 2.11 2.11 2.11 2.05 2.09
Kalinga
Production 155,895 168,854 174,012 176,529 141,094 137,784 173,292

Irrigated 151,020 163,961 168,616 171,213 136,463 133,565 167,849
Rainfed 4,875 4,893 5,396 5,316 4,631 4,219 5,443
Area Harvested 36,070 36,758 37,044 37,041 31,424 33,059 35,913
Irrigated 34,031 34,739 35,023 35,098 29,485 31,244 34,011
Rainfed 2,039 2,019 2,021 1,943 1,939 1,815 1,902
Yield/Hectare 4.32 4.59 4.70 4.77 4.49 4.17 4.83
Irrigated 4.44 4.72 4.81 4.88 4.63 4.27 4.94
Rainfed 2.39 2.42 2.67 2.74 2.39 2.32 2.86
Mt. Province
Production 16,444 17,222 19,103 18,991 15,142 14,464 16,239

Irrigated 14,800 15,238 16,966 16,767 13,404 13,166 13,991
Rainfed 1,644 1,984 2,137 2,224 1,738 1,298 2,248
Area Harvested 6,264 6,411 6,382 6,268 4,976 4,821 5,159
Irrigated 5,472 5,506 5,477 5,387 4,240 4,206 4,240
Rainfed 792 905 905 881 736 615 919
Yield/Hectare 2.63 2.69 2.99 3.03 3.04 3.00 3.15
Irrigated 2.70 2.77 3.10 3.11 3.16 3.13 3.30
Rainfed 2.08 2.19 2.36 2.52 2.36 2.11 2.45
5-4
Figure 5.1: Palay Production and Area Harvested, CAR:
2011 - 2017
Production Area Harvested
500,000
453,461 460,170
452,609 445,006
450,000 428,949
400,911
400,000 382,848
350,000
300,000
250,000
200,000
150,000
118,779 120,100 119,919 118,476 115,555
111,482 110,640
100,000
50,000
-
2011 2012 2013 2014 2015 2016 2017
Figure 5.2: Corn Production and Area Harvested, CAR:

2011 - 2017
Production Areas Harvested
300,000
242,074 244,576 242,850

250,000 237,823
225,135
218,788
199,355
200,000
150,000
100,000
61,639 64,832 64,411 61,045 61,391

56,051 57,290
50,000
-
2011 2012 2013 2014 2015 2016 2017
5-5
Table 5.2
CORN PRODUCTION, AREA HARVESTED AND AVERAGE YIELD BY PROVINCE
2011 - 2017
(Production in metric tons; Area harvested in hectares;
Province 2011 2012 2013 2014 2015 2016 2017
CAR
Production 218,788 222,141 242,074 244,576 237,823 199,355 242,850

White 20,147 20,176 20,256 20,680 19,871 17,993 17,888
Yellow 198,641 201,965 221,818 223,896 217,952 181,362 224,962
Area Harvested 56,051 56,409 61,639 64,832 64,411 61,045 61,391
White 8,538 8,319 8,413 8,368 8,125 7,497 7,198
Yellow 47,513 48,090 53,226 56,464 56,286 53,548 54,193
Yield/Hectare 3.90 3.94 3.93 3.77 3.69 3.27 3.96
White 2.36 2.43 2.41 2.47 2.45 2.40 2.49
Yellow 4.18 4.20 4.17 3.97 3.87 3.39 4.15
Abra
Production 15,841 16,139 16,153 16,618 16,170 16,152 16,262

White 14,937 15,260 15,278 15,733 15,333 15,287 15,397
Yellow 904 879 875 885 837 865 865
Area Harvested 6,552 6,441 6,448 6,447 6,397 6,430 6,390
White 6,342 6,241 6,250 6,249 6,199 6,232 6,192
Yellow 210 200 198 198 198 198 198
Yield/Hectare 2.42 2.51 2.51 2.58 2.53 2.51 2.54
White 2.36 2.45 2.44 2.52 2.47 2.45 2.49
Yellow 4.30 4.40 4.42 4.47 4.23 4.37 4.37
Apayao
Production 22,946 26,001 32,748 32,211 31,885 29,323 35,986

White 1,351 1,057 997 918 922 840 984
Yellow 21,595 24,944 31,751 31,293 30,963 28,483 35,002
Area Harvested 5,343 5,812 6,739 7,200 6,748 6,595 7,040
White 486 368 340 328 316 307 310
Yellow 4,857 5,444 6,399 6,872 6,432 6,288 6,730
Yield/Hectare 4.29 4.47 4.86 4.47 4.73 4.45 5.11
White 2.78 2.87 2.93 2.80 2.92 2.74 3.17
Yellow 4.45 4.58 4.96 4.55 4.81 4.53 5.20
Benguet
Production 34 34 36 37 37 42 40
White 31 31 33 34 34 30 30
Yellow 3 3 3 3 3 12 10
Area Harvested 35 35 37 38 38 38 39
White 32 32 34 35 35 30 30
Yellow 3 3 3 3 3 8 9
Yield/Hectare 0.97 0.97 0.97 0.97 0.97 1.11 1.03
White 0.97 0.97 0.97 0.97 0.97 1.00 1.00
Yellow 1.00 1.00 1.00 1.00 1.00 1.50 1.11
5-6
Table 5.2 Continued
CORN PRODUCTION, AREA HARVESTED AND AVERAGE YIELD BY PROVINCE
2011 - 2017
(Production in metric tons; Area harvested in hectares;
Province 2011 2012 2013 2014 2015 2016 2017
Ifugao
Production 93,847 97,183 106,449 119,409 111,658 93,265 103,540

White 1,395 1,765 1,747 1,830 1,768 760 222
Yellow 92,452 95,418 104,702 117,579 109,890 92,505 103,318
Area Harvested 24,034 24,658 27,329 30,114 30,139 28,450 27,891
White 583 733 733 733 733 311 90
Yellow 23,451 23,925 26,596 29,381 29,406 28,139 27,801
Yield/Hectare 3.90 3.94 3.90 3.97 3.70 3.28 3.71
White 2.39 2.41 2.38 2.50 2.41 2.44 2.47
Yellow 3.94 3.99 3.94 4.00 3.74 3.29 3.72
Kalinga
Production 65,505 64,166 64,944 54,975 53,771 44,145 63,076

White 2,184 1,933 1,912 1,860 1,724 1,016 1,068
Yellow 63,321 62,233 63,032 53,115 52,047 43,129 62,008
Area Harvested 14,314 14,318 14,890 14,459 14,507 13,113 13,803
White 849 760 770 770 770 571 471
Yellow 13,465 13,558 14,120 13,689 13,737 12,542 13,332
Yield/Hectare 4.58 4.48 4.36 3.80 3.71 3.37 4.57
White 2.57 2.54 2.48 2.42 2.24 1.78 2.27
Yellow 4.70 4.59 4.46 3.88 3.79 3.44 4.65
Mt. Province
Production 20,615 21,612 21,744 21,326 24,302 16,428 23,946

White 249 299 289 305 90 60 187
Yellow 20,366 21,313 21,455 21,021 24,212 16,368 23,759
Area Harvested 5,773 6,026 6,196 6,574 6,582 6,419 6,228
White 246 303 286 253 72 46 105
Yellow 5,527 5,723 5,910 6,321 6,510 6,373 6,123
Yield/Hectare 3.57 3.59 3.51 3.24 3.69 2.56 3.84
White 1.01 0.99 1.01 1.21 1.25 1.30 1.78
Yellow 3.68 3.72 3.63 3.33 3.72 2.57 3.88
5-7
Table 5.3
CROP PRODUCTION BY KIND OF CROP AND AREA HARVESTED BY PROVINCE
2011 - 2017
(Production in kilograms; Area harvested in hectares)
2011 2012 2013

Area / Crop Type Area Area Area
Production Production Production
Harvested Harvested Harvested
CAR
Permanent
Banana 25,082,530 4,864 25,100,140 4,932 27,194,630 5,149
Coconut 907,240 285 952,230 300 1,078,780 332
Cacao 14,000 29 14,530 31 21,120 40
Calamansi 418,700 65 420,150 67 417,780 69
Coffee 5,627,130 6,720 5,673,210 6,716 5,464,820 6,695
Mango 3,709,070 794 3,317,630 766 3,421,810 779
Pineapple 687,230 114 711,520 117 770,610 111
Temporary
Cassava 1,670,590 313 2,194,020 489 11,621,160 632
Cabbage 98,942,820 5,444 99,361,710 5,442 99,957,600 5,402
Camote 15,976,120 3,018 15,710,640 3,069 15,560,270 3,049
Eggplant 805,020 133 823,190 137 891,530 142
Garlic 13,450 8 14,450 8 12,550 7
Mongo 140,520 184 140,760 183 134,050 172
Onion - - - - - -
Peanut 121,200 252 122,670 249 125,510 250
Tobacco 925,760 2,013 948,700 2,052 963,530 2,051
Tomato 3,855,840 360 3,899,430 359 3,897,950 355
Abra
Permanent
Banana 7,617,390 864 7,685,040 864 7,615,580 866
Coconut 190,500 65 202,820 65 212,760 65
Cacao .. .. .. .. .. ..
Calamansi 85,750 11 87,020 11 87,580 11
Coffee 54,050 47 53,510 47 52,410 47
Mango 422,590 110 427,200 110 435,840 110
Pineapple 51,200 3 51,800 3 52,840 3
Temporary
Cassava 35,400 16 36,300 16 39,280 16
Cabbage .. .. .. .. .. ..
Camote 644,840 63 652,000 63 660,260 63
Eggplant 631,130 59 635,200 59 642,910 59
Garlic .. .. .. .. .. ..
Mongo 12,000 15 12,200 15 12,360 15
Onion .. .. .. .. .. ..
Peanut .. .. .. .. .. ..
Tobacco 919,800 2,005 942,600 2,046 957,170 2,046
Tomato 388,000 53 392,500 53 386,000 53
Apayao
Permanent
Banana 6,404,750 2,318 6,405,450 2,379 9,440,040 2,569
Coconut 248,450 55 267,650 70 324,500 100
Cacao 7,300 12 7,400 15 12,800 20
Calamansi 55,500 18 56,350 20 52,850 20
Coffee 13,370 109 12,800 135 15,950 140
Mango 19,500 90 18,800 88 16,250 88
Pineapple 284,000 34 320,000 38 385,000 40
5-8
Table 5.3 Continued
2014 2015 2016 2017

Area Area Area Area
Production Production Production Production
Harvested Harvested Harvested Harvested
26,254,000 4,796 26,001,939 4,864 25,584,496 4,782 21,104,450 2,929

1,172,970 362 1,003,087 375 1,037,392 375 981,410 333
27,730 52 27,480 52 30,930 57 22,400 50
444,580 73 428,374 75 435,457 73 440,680 74
5,251,480 6,681 5,210,018 6,631 3,735,862 6,322 1,886,170 6,289
3,609,760 782 3,332,409 794 3,101,550 791 2,878,020 789
804,690 109 813,874 109 831,061 107 750,280 92
12,196,600 655 13,377,461 659 16,833,029 877 22,287,100 1,171

99,520,120 5,316 97,306,767 5,274 94,727,790 5,137 91,233,040 5,117
15,610,220 3,021 15,142,484 2,892 14,460,440 2,806 13,315,610 2,600
956,740 147 974,672 147 946,304 154 992,740 157
11,150 7 11,990 7 10,400 6 1,000 6
133,030 167 128,440 163 124,190 157 111,230 135
- - .. - -
123,810 239 109,967 229 102,600 225 96,540 212
1,256,670 2,051 1,484,100 2,051 1,804,688 2,082 1,777,364 2,066
3,984,010 356 3,911,485 342 3,724,541 336 3,656,810 335
7,054,120 863 7,408,600 863 6,539,060 863 6,519,600 848

220,030 65 214,900 65 208,280 65 203,870 65
.. .. ..
105,840 11 111,990 11 116,750 11 120,740 11
51,510 47 52,360 47 54,740 47 56,330 47
673,450 110 723,780 110 790,460 110 1,096,800 125
68,000 3 72,000 3 70,000 3 71,260 3
46,620 16 48,300 16 47,210 16 48,670 16

.. .. .. - -
683,640 63 694,510 63 695,020 63 704,480 63
675,240 59 684,480 59 662,660 59 685,550 59
.. .. .. - -
13,000 15 13,240 15 12,980 15 13,240 15
.. .. .. - -
.. .. .. - -
1,250,220 2,046 1,477,620 2,046 1,696,330 2,046 1,757,170 2,046
430,000 53 464,000 53 455,400 53 468,480 50
8,916,360 2,290 8,263,490 2,345 9,072,396 2,288 5,443,360 535

374,840 130 266,000 130 347,690 130 324,650 88
19,620 30 18,300 30 21,300 30 15,240 23
55,820 25 43,120 25 57,107 23 51,100 24
19,900 130 23,000 121 23,200 123 17,100 105
23,270 88 25,000 88 25,850 87 8,880 79
406,000 40 425,000 41 463,431 42 383,798 38
5-9
Table 5.3 Continued
2011 - 2017
2011 2012 2013

Apayao
Temporary
Cassava 304,500 84 1,056,600 290 10,480,500 438
Cabbage .. .. .. .. .. ..
Camote 64,150 15 73,500 18 103,650 21
Eggplant 24,150 5 38,600 11 79,620 16
Garlic .. .. .. .. .. ..
Mongo 3,850 7 3,900 7 4,600 7
Onion .. .. .. .. .. ..
Peanut 3,470 5 3,500 5 4,050 5
Tobacco 210 2 250 2 360 2
Tomato 7,710 2 7,980 2 9,050 2
Benguet
Permanent
Banana 2,094,380 290 2,011,460 282 2,039,700 282
Coconut 15,380 9 15,100 9 15,160 9
Cacao 3,850 12 3,430 11 3,220 10
Calamansi 205,180 13 202,570 13 204,920 13
Coffee 486,550 322 491,700 321 501,000 321
Mango 2,376,950 264 1,985,850 238 2,011,960 238
Pineapple 208,700 40 195,770 40 197,990 40
Temporary
Cassava 1,045,620 153 816,510 121 779,140 112
Cabbage 85,206,620 4,440 85,480,840 4,425 85,874,210 4,385
Camote 6,005,250 792 5,644,980 769 5,552,200 759
Eggplant 11,800 2 12,020 2 12,110 2
Garlic .. .. .. .. .. ..
Mongo .. .. .. .. .. ..
Onion .. .. .. .. .. ..
Peanut 9,620 26 9,260 24 9,190 24
Tobacco .. .. .. .. .. ..
Tomato 2,874,350 230 2,915,730 230 2,920,080 229
Ifugao
Permanent
Banana 6,553,830 813 6,510,290 813 5,424,070 813
Coconut 90,310 21 94,710 21 103,950 22
Cacao .. .. .. .. .. ..
Calamansi 44,470 11 45,400 11 44,990 11
Coffee 1,053,810 2,513 1,061,350 2,513 1,052,390 2,511
Mango 637,570 116 643,820 116 648,780 116
Pineapple 56,470 11 58,800 11 54,750 11
Temporary
Cassava 70,630 18 73,560 18 77,550 19
Cabbage 490,300 29 500,700 29 504,090 29
Camote 7,323,750 1,712 7,341,530 1,712 7,181,530 1,712
Eggplant 23,280 29 23,580 29 23,500 29
Garlic .. .. .. .. .. ..
Mongo 68,510 76 70,410 76 69,040 76
Onion .. .. .. .. .. ..
Peanut 34,520 92 34,600 92 34,620 92
Tobacco 1,250 1 1,300 1 1,400 1
Tomato 15,190 4 15,600 4 15,900 4
5 - 10
Table 5.3 Continued
2014 2015 2016 2017

Area Area Area Area
10,929,000 443 12,098,000 445 11,432,007 445 11,301,730 448

.. .. .. - -
132,110 27 147,480 29 138,950 23 139,470 21
113,040 21 131,290 23 136,989 20 145,720 21
.. .. .. - -
5,370 8 5,940 8 6,250 9 6,660 7
.. .. .. - -
4,210 5 4,410 5 4,130 5 4,330 4
400 2 410 2 418 2 500 2
9,180 2 9,960 2 10,650 2 9,270 3
2,065,170 282 1,972,959 284 1,853,750 283 1,711,650 253

15,290 9 15,007 9 14,782 9 15,060 9
3,010 10 3,180 10 3,130 10 3,170 10
210,360 13 199,712 13 192,120 13 194,500 13
535,620 341 540,782 340 523,252 340 520,800 340
1,911,360 238 1,591,569 238 1,276,330 238 1,251,510 236
201,950 40 198,620 40 184,500 38 189,740 30
- -
-
787,350 112 748,221 112 1,074,882 111 1,070,110 108
85,139,340 4,291 84,472,427 4,281 81,778,020 4,166 80,634,000 4,106
5,669,780 763 5,570,534 761 5,453,870 748 5,200,500 719
12,360 2 13,592 3 13,745 2 22,400 4
.. .. .. - -
.. .. .. - -
.. .. .. - -
8,700 23 7,537 23 8,130 23 8,350 23
.. .. .. - -
2,976,740 231 2,943,635 230 2,837,191 224 2,580,000 203
5,445,100 722 5,502,204 722 5,486,100 723 5,493,240 710

131,110 22 100,430 22 141,720 22 148,730 22
.. .. .. - -
44,730 11 45,342 11 45,700 11 46,600 11
1,029,380 2,511 985,436 2,511 943,400 2,251 893,610 2,251
660,780 115 645,490 119 653,140 119 364,700 119
57,720 12 59,534 12 58,880 12 57,381 12
- -
187,330 36 140,090 31 3,881,740 266 9,507,330 562

510,360 30 504,920 30 475,850 28 495,000 28
7,251,430 1,698 6,989,120 1,600 6,842,310 1,573 6,167,840 1,443
23,810 30 23,560 30 28,120 43 29,440 43
.. .. .. - -
68,110 72 63,290 67 55,410 59 50,300 52
.. .. .. - -
34,830 92 35,750 92 35,960 92 36,340 92
1,900 1 1,780 1 1,560 1 1,790 1
16,720 4 26,780 7 34,860 11 56,740 16
5 - 11
Table 5.3 Continued
2011 - 2017
2011 2012 2013

Kalinga
Permanent
Banana 1,193,370 271 1,200,900 296 1,287,500 302
Coconut 190,350 84 195,750 84 243,000 84
Cacao 2,850 5 3,700 5 5,100 10
Calamansi 9,200 8 10,050 8 11,500 10
Coffee 3,857,200 3,431 3,898,500 3,431 3,698,500 3,427
Mango 86,300 80 79,650 84 148,750 96
Pineapple 35,600 18 38,750 18 34,500 10
Temporary
Cassava 97,400 26 101,400 28 131,000 31
Cabbage 19,050 6 20,750 7 27,700 8
Camote 172,350 53 182,000 55 225,000 55
Eggplant 93,700 34 97,950 33 117,500 33
Garlic 13,450 8 14,450 8 12,550 7
Mongo 24,640 43 24,650 43 25,300 44
Onion .. .. .. .. .. ..
Peanut 9,730 25 10,040 17 11,050 18
Tobacco 4,500 5 4,550 3 4,600 2
Tomato 92,300 21 92,850 19 91,900 16
Mt. Province
Permanent
Banana 1,218,810 308 1,287,000 298 1,387,740 317
Coconut 172,250 51 176,200 51 179,410 52
Cacao .. .. .. .. .. ..
Calamansi 18,600 4 18,760 4 15,940 4
Coffee 162,150 298 155,350 269 144,570 249
Mango 166,160 134 162,310 130 160,230 131
Pineapple 51,260 8 46,400 7 45,530 7
Temporary
Cassava 117,040 16 109,650 16 113,690 16
Cabbage 13,226,850 969 13,359,420 981 13,551,600 980
Camote 1,765,780 383 1,816,630 452 1,837,630 439
Eggplant 20,960 4 15,840 3 15,890 3
Garlic .. .. .. .. .. ..
Mongo 31,520 43 29,600 42 22,750 30
Onion .. .. .. .. .. ..
Peanut 63,860 104 65,270 111 66,600 111
Tobacco .. .. .. .. .. ..
Tomato 478,290 50 474,770 51 475,020 51
5 - 12
Table 5.3 Continued
2014 2015 2016 2017

Area Area Area Area
1,245,850 318 1,270,380 329 1,117,750 329 616,320 338

257,000 84 238,140 100 160,400 100 134,460 100
5,100 10 6,000 10 5,500 15 2,940 15
14,500 10 15,370 12 14,500 12 10,080 12
3,470,000 3,427 3,480,390 3,429 2,080,000 3,427 311,200 3,426
183,700 101 204,000 107 205,550 107 15,000 103
30,500 8 29,250 8 22,750 7 8,650 4
127,000 32 212,370 38 272,000 23 211,110 20

26,300 7 29,720 8 24,250 7 23,900 6
224,000 58 221,110 58 215,500 57 173,700 43
117,000 32 109,600 31 92,700 28 99,100 28
11,150 7 11,990 7 10,400 6 1,000 6
25,850 44 27,970 45 29,650 47 20,790 34
.. .. .. - -
10,550 15 9,880 14 8,950 11 6,700 10
4,150 2 4,290 2 106,380 33 17,900 17
92,500 16 76,450 14 60,750 12 78,790 12
1,527,400 321 1,584,306 321 1,515,440 296 1,320,280 245

174,700 52 168,610 52 164,520 49 154,641 49
.. 2 .. 1,050 2
13,330 3 12,840 3 9,280 3 15,650 3
145,070 225 128,050 183 111,270 134 87,130 118
157,200 130 142,570 132 150,220 130 141,130 127
40,520 6 29,470 5 31,500 5 30,760 5
119,300 16 130,480 17 125,190 16 148,150 18

13,844,120 988 12,299,700 955 12,449,670 936 13,080,140 977
1,649,260 412 1,519,730 381 1,114,790 342 929,630 311
15,290 3 12,150 2 12,090 2 10,530 2
.. .. ..
20,700 28 18,000 28 19,900 27 20,240 27
.. .. ..
65,520 104 52,390 95 45,430 94 40,820 83
.. .. ..
458,870 50 390,660 37 325,690 34 483,530 52
5 - 13
Table 5.4
NUMBER AND AREA OF FARMS BY SIZE AND PROVINCE
(Farm Size and Area in hectares)
Province/FarmSize 1980 1991 2002

Number Area Number Area Number Area
CAR
All Farms 93,940 227,365 108,251 155,579 120,104 177,839
Under 1.00 39,382 17,178 61,549 26,273 68,874 27,973
1.00 t0 2.99 36,542 58,682 35,633 55,249 38,677 60,417
3.00 to 4.99 10,490 37,389 6,301 22,764 7,480 26,942
5.00 to 9.99 5,649 35,074 3,635 23,503 3,795 24,349
10.00 to 24.99 1,369 19,047 928 12,510 967 12,974
25.00 Ha and over 508 59,992 207 15,283 311 25,185
Abra
All Farms 20,578 28,292 21,599 24,565 22,407 22,738
Under 1.00 11,011 5,452 12,762 6,488 15,091 6,679
1.00 t0 2.99 7,639 12,192 7,577 11,772 6,125 9,582
3.00 to 4.99 1,481 5,578 895 3,281 806 2,967
5.00 to 9.99 393 2,438 299 1,929 269 1,725
10.00 to 24.99 35 465 59 853 103 1,347
25.00 Ha and over 19 2,167 8 243 13 437
Benguet
All Farms 19,414 40,916 24,515 27,770 27,491 29,983
Under 1.00 5,844 2,590 14,313 5,815 17,575 6,743
1.00 t0 2.99 9,208 14,534 8,308 12,245 7,873 11,441
3.00 to 4.99 2,577 9,132 1,232 4,364 1,140 4,018
5.00 to 9.99 1,499 9,092 531 3,202 694 4,461
10.00 to 24.99 220 3,257 116 1,447 183 2,293
25.00 Ha and over 66 2,311 15 697 26 1,028
Ifugao
All Farms 16,975 48,804 19,093 28,841 21,072 40,369
Under 1.00 8,980 3,984 11,698 4,977 11,603 5,083
1.00 t0 2.99 6,083 9,989 5,816 9,155 7,158 11,257
3.00 to 4.99 1,151 4,078 867 3,082 1,366 4,932
5.00 to 9.99 388 2,386 484 3,117 569 3,731
10.00 to 24.99 157 2,450 135 1,973 214 3,068
25.00 Ha and over 216 25,916 94 6,538 162 12,297
Kalinga-Apayao
All Farms 25,983 81,501 28,623 55,247 37,357 67,053
Under 1.00 6,250 3,020 12,268 5,825 15,779 6,846
1.00 t0 2.99 11,715 18,818 11,326 17,783 15,307 24,672
3.00 to 4.99 4,383 15,327 2,576 9,338 3,707 13,372
5.00 to 9.99 2,756 17,286 1,900 12,433 2,095 13,404
10.00 to 24.99 735 9,949 496 6,629 422 5,656
25.00 Ha and over 144 17,100 56 3,240 47 3,105
Mt. Province
All Farms 10,990 27,852 14,421 19,156 11,777 17,696
Under 1.00 7,297 2,132 10,508 3,168 8,826 2,622
1.00 t0 2.99 1,897 3,149 2,606 4,294 2,214 3,465
3.00 to 4.99 898 3,274 731 2,699 461 1,653
5.00 to 9.99 613 3,872 421 2,822 168 1,028
10.00 to 24.99 222 2,926 122 1,608 45 610
25.00 Ha and over 63 12,498 34 4,565 63 8,318
5 - 14
Table 5.5
INVENTORY OF LIVESTOCK AND POULTRY BY KIND, TYPE OF FARM AND PROVINCE
As of January 1, 2015 - 2018
(Number of Heads)
2015 2016
Area/Kind Backyard Commercial Backyard Commercial
Total Total
farm farm farm farm
CAR
Cattle 59,856 52,157 7,699 60,364 53,150 7,214
Carabao 86,023 85,094 929 86,265 85,338 927
Hog 196,385 192,731 3,654 198,375 192,381 5,994
Goat 70,615 70,538 77 68,287 68,229 58
Duck 205,027 205,027 - 209,051 209,051 -
Chicken 1,583,046 … … 1,564,252
Abra
Cattle 20,911 20,574 337 21,631 21,300 331
Carabao 36,875 36,854 21 34,770 34,750 20
Hog 33,176 32,710 466 24,385 23,930 455
Goat 39,376 39,376 - 36,855 36,855 -
Duck 8,883 8,883 - 8,410 8,410 -
Chicken 279,754 … … 275,940
Apayao
Cattle 2,922 2,884 38 2,974 2,928 46
Carabao 12,657 12,657 - 13,014 13,014 -
Hog 25,475 25,475 - 26,680 26,680 -
Goat 4,166 4,166 - 3,742 3,742 -
Duck 24,834 24,834 - 25,541 25,541 -
Chicken 203,163 … … 177,399
Benguet
Cattle 6,370 6,340 30 6,238 6,213 25
Carabao 10,260 10,260 - 11,300 11,300 -
Hog 24,978 24,540 438 31,294 28,810 2,484
Goat 11,150 11,150 - 11,550 11,550 -
Duck 7,044 7,044 - 7,310 7,310 -
Chicken 211,293 … … 204,700
Ifugao
Cattle 11,822 6,850 4,972 11,670 6,900 4,770
Carabao 7,648 7,020 628 7,643 7,038 605
Hog 25,105 23,170 1,935 26,033 23,780 2,253
Goat 7,464 7,426 38 7,032 7,000 32
Duck 75,980 75,980 - 76,000 76,000 -
Chicken 454,162 … … 513,729
Kalinga
Cattle 9,022 7,251 1,771 9,747 8,040 1,707
Carabao 12,634 12,354 280 13,699 13,397 302
Hog 51,445 50,900 545 55,209 54,678 531
Goat 7,513 7,474 39 8,072 8,046 26
Duck 81,293 81,293 - 84,963 84,963 -
Chicken 269,068 … … 216,040
Mt. Province
Cattle 8,809 8,258 551 8,104 7,769 335
Carabao 5,949 5,949 - 5,839 5,839 -
Hog 36,206 35,936 270 34,774 34,503 271
Goat 946 946 - 1,036 1036 -
Duck 6,993 6,993 - 6,827 6,827 -
Chicken 165,606 … … 176,444
5 - 15
Table 5.5 Continued
INVENTORY OF LIVESTOCK AND POULTRY BY KIND, TYPE OF FARM AND PROVINCE
As of January 1, 2015 - 2018
(Number of Heads)
2017 2018
Area/Kind Backyard Commercial Backyard Commercial
Total Total
farm farm farm farm
CAR
Cattle 59,213 51,717 7,496 57,796 50,135 7,661
Carabao 86,509 85,562 947 86,808 85,904 904
Hog 188,937 184,541 4,396 205,264 201,627 3,637
Goat 63,035 62,988 47 60,437 60,351 86
Duck 248,155 248,155 - 297,038 297,038 -
Chicken 1,470,545 1,735,514
Abra
Cattle 20,954 20,715 239 19,870 19,758 112
Carabao 33,320 33,300 20 31,989 31,973 16
Hog 16,498 16,030 468 15,934 15,550 384
Goat 32,416 32,416 - 30,364 30,364 -
Duck 7,990 7,990 - 6,994 6,994 -
Chicken 259,197 275,416
Apayao
Cattle 3,014 2,936 78 3,043 2,993 50
Carabao 13,216 13,216 - 13,810 13,810 -
Hog 26,924 26,924 - 26,656 26,656 -
Goat 3,801 3,801 - 3,768 3,768 -
Duck 25,068 25,068 - 26,763 26,763 -
Chicken 150,288 169,866
Benguet
Cattle 5,994 5,976 18 5,797 5,797 -
Carabao 11,806 11,806 - 11,655 11,655 -
Hog 29,492 27,290 2,202 35,537 33,965 1,572
Goat 10,794 10,794 - 10,675 10,675 -
Duck 5,839 5,839 - 5,487 5,487 -
Chicken 188,719 225,923
Ifugao
Cattle 11,248 6,558 4,690 10,843 6,247 4,596
Carabao 7,668 7,050 618 7,844 7,239 605
Hog 23,680 22,590 1,090 32,279 31,173 1,106
Goat 7,226 7,200 26 8,545 8,480 65
Duck 113,065 113,065 - 159,765 159,765 -
Chicken 539,058 647,805
Kalinga
Cattle 10,236 8,170 2,066 10,576 8,270 2,306
Carabao 14,879 14,570 309 16,203 15,920 283
Hog 58,609 58,150 459 59,184 58,730 454
Goat 7,776 7,755 21 6,185 6,164 21
Duck 89,210 89,210 - 91,254 91,254 -
Chicken 167,458 234,506
Mt. Province
Cattle 7,767 7,362 405 7,667 7,070 597
Carabao 5,620 5,620 - 5,307 5,307 -
Hog 33,734 33,557 177 35,674 35,553 121
Goat 1,022 1022 - 900 900 -
Duck 6,983 6,983 - 6,775 6,775 -
Chicken 165,825 181,998
5 - 16
Table 5.6
ANIMALS SLAUGHTERED BY KIND AND PROVINCE
2012 - 2017
Year
Area / Type of
Animals Slaughtered 2012 2013 2014 2015 2016 2017
CAR
Carabao 1,132 1,014 852 657 617 653
Cattle 10,430 11,497 11,468 10,987 11,234 11,631
Hog 168,243 167,936 168,344 177,959 176,982 214,291
Goat 1,354 758 644 923 812 1,583
Chicken 33,098 43,335 40,666 50,698 55,927 53,987
Abra
Carabao 29 13 48 196 360 363
Cattle 2,090 2,281 2,494 2,393 2,224 2,245
Hog 27,154 28,000 28,090 28,462 28,783 33,374
Goat 72 111 70 52 52 41
Chicken 33,098 43,335 40,666 50,698 55,927 53,987
Apayao
Carabao 327 289 274 172 134 74
Cattle 292 295 261 184 112 67
Hog 5,163 4,828 5,323 5,630 6,895 5,310
Goat - - - - - -
Chicken - - - - -
Benguet
Carabao 563 420 287 114 4 45
Cattle 6,216 6,703 6,533 6,899 7,366 7,575
Hog 113,049 111,358 112,335 118,694 114,138 142,086
Goat 1,282 647 574 871 760 1,542
Chicken - - - - -
Ifugao
Carabao 54 60 58 53 84 89
Cattle 1,255 1,270 1,381 521 577 602
Hog 10,407 10,581 9,782 12,521 13,030 13,787
Goat - - - - - -
Chicken - - - - -
Kalinga 122
Carabao 159 232 185 948 35 82
Cattle 535 890 727 11,703 932 1,114
Hog 11,403 11,821 11,766 - 13,130 18,597
Goat - - - - -
Chicken - - - - -
Mt. Province
Carabao - - - - - -
Cattle 42 58 72 42 23 28
Hog 1,067 1,348 1,048 949 1,006 1,137
Goat - - - - - -
Chicken - - - - -
5 - 17
Table 5.7
FISH PRODUCTION BY PROVINCE
2011 - 2017
(In Metric Tons)
Province 2011 2012 2013 2014 2015 2016 2017
Philippines 4,973,588 4,858,097 4,705,209 4,694,000 4,649,313 … …
CAR 3,660 3,778 3,907 3,977 3,866 4,202 4,148
Abra 750 789 783 774 743 719 602.85

Apayao 287 314 392 401 371 358 248.87
Benguet 408 412 427 446 454 394 424.08
Ifugao 1,710 1,754 1,792 1,825 1,804 2,243 2424.97
Kalinga 480 484 490 508 471 467 428.89
Mt. Province 25 24 23 23 22 22 18.34
Figure 5.3: Fish Production in CAR, 2011 - 2017
4,300
4,200
4,100
Production (in metric tons)
4,000
3,900
3,800
3,700
3,600
3,500
3,400
3,300
2011 2012 2013 2014 2015 2016 2017
Year
5 - 18
Table 5.8
FISH PRODUCTION BY TYPE OF PRODUCTION
2011 - 2017
(In Metric Tons)
Province/ Year 2011 2012 2013 2014 2015 2016 2017
CAR 3,660 3,778 3,907 3,977 3,866 4,202 4,148

Aquaculture 2,676 2,742 2,793 2,820 2,693 2,964 2,997
Inland 983 1,036 1,114 1,157 1,173 1,238 1,151
Abra 750 789 783 774 743 719

Aquaculture 459 483 470 452 414 399 357
Inland 291 307 313 322 329 320 245
Apayao 287 314 392 401 371 358

Aquaculture 167 182 207 205 174 170 93
Inland 120 132 185 196 197 188 156
Benguet 408 412 427 446 454 394

Aquaculture 322 325 337 353 356 298 319
Inland 86 88 90 93 98 96 105
Ifugao 1,710 1,754 1,792 1,825 1,804 2,243

Aquaculture 1,462 1,495 1,528 1,557 1,552 1,917 2,092
Inland 248 259 264 267 252 326 333
Kalinga 480 484 490 508 471 467

Aquaculture 249 241 235 235 183 167 124
Inland 231 243 255 272 289 300 304
Mt. Province 25 24 23 23 22 22
Aquaculture 18 17 17 17 15 13 11
Inland 7 7 6 7 7 9 7
Figure 5.4: Fish Production by Type of Production in CAR, 2011 - 2017
3,500
Aquaculture
Inland
3,000
Production (in metric tons)
2,500
2,000
1,500
1,000
500
-
2011 2012 2013 2014 2015 2016 2017
Year
5 - 19
Table 5.9
LAND ACQUISITION AND DISTRIBUTION BY PROVINCE
2004 - 2015
(Area in hectares)
Emancipation Patents/
Province/ Year Certficate of Land Owbership Farmer-Beneficiaries Area
Award
CAR
2004 1,277 1,932 1,573
2005 1,733 2,778 3,005
2006 1,997 2,307 3,066
2007 2,973 3,594 3,340
2008 3,534 3,980 3,757
2009 765 614 1,125
2010 2,280 2,545 2,750
2011 2,600 2,608 1,853
2012 956 1,140 1,093
2013 684 891 1,044
2014 653 919 699
2015 201 225 180
Abra
2004 452 774 709
2005 440 552 384
2006 430 718 715
2007 468 631 804
2008 390 540 542
2009 139 134 247
2010 106 171 157
2011 153 141 51
2012 - - -
2013 - - -
2014 - - -
2015 - - -
Apayao
2004 225 287 177
2005 217 294 179
2006 173 191 310
2007 139 190 201
2008 162 233 241
2009 72 61 107
2010 147 202 168
2011 137 181 150
2012 18 55 56
2013 42 219 303
2014 99 104 308
2015 22 35 52
Benguet
2004 441 393 232
2005 470 776 545
2006 1,037 597 1,073
2007 1,766 1,944 1,520
2008 1,997 2,013 1,915
2009 279 191 283
2010 1,375 1,429 1,283
5 - 20
Table 5.9 Continued
Emancipation Patents/
Province/ Year Certficate of Land Owbership Farmer-Beneficiaries Area
Award
Benguet (continued)
2011 1,503 1,541 1,126
2012 663 656 650
2013 467 373 450
2014 353 447 93
2015 - - -
Ifugao
2004 43 264 219
2005 40 586 1,419
2006 105 253 236
2007 176 352 441
2008 181 265 354
2009 61 55 115
2010 199 306 589
2011 586 543 395
2012
2013
2014
2015
Kalinga
2004 110 208 227
2005 277 280 371
2006 171 350 227
2007 201 281 308
2008 333 351 358
2009 195 150 293
2010 209 191 168
2011 221 202 131
2012 237 267 195
2013 156 195 142
2014 113 204 118
2015 - - -
Mt. Province
2004 6 6 9
2005 289 290 107
2006 81 198 505
2007 223 196 65
2008 471 578 347
2009 19 23 79
2010 244 246 385
2011 - - -
2012 - - -
2013 - - -
2014 - - -
2015 - - -
Source: Department of Agrarian Reform
5 - 21
Table 5.10
NUMBER OF REGISTERED COOPERATIVES UNDER R.A. 9520
BY PROVINCE AND CITY
As of December 31, 2016
TYPES OF OPERATING COOPERATIVES

Area Multi-
Credit Consumer Producer Marketing Service Agriculture
Purpose
CAR 171 135 43 15 15 9 212
Abra 9 6 6 4 1 1 19
Apayao 10 - - - 1 - 15
Baguio City 66 47 7 - - 3 6
Benguet 49 27 20 7 3 4 108
Ifugao 17 8 2 2 1 - 21
Kalinga 10 36 5 1 7 1 23
Mt. Province 10 11 3 1 2 - 20
Source: Cooperative Development Authority
TYPES OF OPERATING COOPERATIVES

Area
Worker Union Federation Housing Transport TOTAL
CAR 1 6 5 1 13 626
Abra - - - - - 46
Apayao - 1 - - - 27
Baguio City - 2 2 1 8 142
Benguet 1 1 2 - 1 223
Ifugao - - 1 - 1 53
Kalinga - 1 - - 1 85
Mt. Province - 1 - - 2 50
Source: Cooperative Development Authority
5 - 22
Chapter 6
ESTABLISHMENT CHARACTERISTICS:
INDUSTRY
Data on the industries and investments in the region serve as gauge of the extent of
the area’s attractiveness to and capability to absorb entrepreneurial ventures. An
analysis of the data on the size and growth of industries and the stock and flow of
investment shows the enabling factors that provide or enhance the comparative
advantages enjoyed by industries and investors in the area. On the other hand, the
data can give indications of the limiting factors that hinder the entry, growth, and
movement of industries and investments. With the data providing signals, the
concerned governmental instrumentalities can formulate policies, enforce regulations
and undertake infrastructure programs and other forms of assistance to assist business
and prospective investors. Armed with the data, key decision-makers in the
government and private sectors can also forge alliances to improve the business
climate and environment. Ultimately, the policies and measures implemented as well
as the alliances can serve as instruments for achieving growth and providing
employment opportunities, among others, to the region’s labor force.
This chapter presents regional and provincial data, where available, on the number of
establishments by major industry division, the number, floor area and value of private
building construction and the value of and employment generated by investments. The
data source are the Philippine Statistics Authority for the establishments and building
construction data and the Department of Trade and Industry for the investments
statistics.
HIGHLIGHTS
• The total number of building construction in CAR increased by 1.41 percent in

2017. The total floor area of building construction increased by 19.80 percent.
• DTI-monitored investments loss by 38.76 percent from 2.2 billion pesos in 2016 to
1.3 billion pesos in 2017.
6-1
Table 6.1 Number of Establishments and Employment by Industry and 6-3
Employment Size, CAR, 2016
Table 6.2 Number, Floor Area and Value of Private Building Construction by 6-6
Type of Construction, 2006-2017
Table 6.3 Value of Real Estate Sales, 2002-2015 6-8
Table 6.4 Value of Investments and Employment Generated by Province, 6-14

2010 - 2017
Figure 6.1 Real Estate Sales, Philippines: 2008-2015 6-5
Figure 6.2 Real Estate Sales, CAR: 2008-2015 6-5
6-2
Table 6.1
NUMBER OF ESTABLISHMENTS AND EMPLOYMENT BY INDUSTRY AND EMPLOYMENT SIZE
CORDILLERA ADMINISTRATIVE REGION
2016
Number of Establishments
Industry
MICRO SMALL MEDIUM LARGE Total
Cordillera Administrative Region (CAR) 17,690 1,220 37 45 18,992
Agriculture Forestry and Fishing 46 9 - - 55

Mining and Quarrying 8 6 1 3 18
Manufacturing 2,136 72 3 5 2,216
Electricity Gas Steam and Air Conditioning Supply 20 15 4 3 42
Water Supply; Sewerage Waste Management and 7 6 1 1 15
Remediation Activities
Construction
Wholesale and Retail Trade; Repair of Motor 36 20 5 3 64
Vehicles and Motorcycles 8,038 326 3 4 8,371
Transportation and Storage 47 22 - - 69
Accommodation and Food Service Activities 3,069 290 8 2 3,369
Information and Communication 1,029 24 - 0 1,053
Financial and Insurance Activities 430 109 - 0 539
Real Estate Activities 218 23 2 - 243
Professional Scientific and Technical Activities 352 9 - 1 362
Administrative and Support Service Activities 216 18 2 12 248
Education 206 190 8 7 411
Human Health and Social Work Activities 624 27 - 4 655
Arts Entertainment and Recreation 238 9 - - 247
Other Service Activities 970 45 - - 1,015
Total Employment
Industry
MICRO SMALL MEDIUM LARGE Total
Cordillera Administrative Region (CAR) 46,155 24,807 4,857 30,969 106,788
Agriculture Forestry and Fishing 174 193 - - 367
Mining and Quarrying 38 138 128 4,351 4,655
Manufacturing 5,155 1,288 408 6,507 13,358
Electricity Gas Steam and Air Conditioning Supply 130 541 580 872 2,123
Water Supply; Sewerage Waste Management and 34 121 106 290 551
Remediation Activities
Construction
Wholesale and Retail Trade; Repair of Motor 137 688 662 928 2,415
Vehicles and Motorcycles 19,548 5,713 401 1,345 27,007
Transportation and Storage 164 631 - - 795
Accommodation and Food Service Activities 9,582 5,926 1,014 802 17,324
Information and Communication 1,872 588 - - 2,460
Financial and Insurance Activities 1,736 1,731 - - 3,467
Real Estate Activities 641 505 208 - 1,354
Professional Scientific and Technical Activities 903 282 - 452 1,637
Administrative and Support Service Activities 530 564 337 9,937 11,368
Education 992 4,511 1,013 3,857 10,373
Human Health and Social Work Activities 1,283 646 - 1,628 3,557
Arts Entertainment and Recreation 628 157 - - 785
Other Service Activities 2,608 584 - - 3,192
Notes:
1. The 2016 List of Establishments (LE) was based on the complete enumeration of establishments in identified priority areas
(barangays), field verification of "no matched" establishments from secondary sources and updates from feedbacks on the
surveys undertaken by the office.
2. The 2016 LE used the 2009 Philippine Standard Industrial Classification
6-3
Table 6.2
NUMBER, FLOOR AREA AND VALUE OF PRIVATE BUILDING CONSTRUCTION BY TYPE OF
CONSTRUCTION
2006 - 2017
(Value in thousand pesos; area in thousand square meters)
Total Residential
Area/Year
Number Floor Area Value Number Floor Area Value
2006
Philippines 110,563 16,607 122,211,347 75,932 9,105 58,454,457
CAR 1,137 230 1,491,074 897 169 1,045,694
2007
Philippines 94,961 15,588 124,909,731 65,965 8,071 55,401,708
CAR 831 202 1,512,058 659 117 818,970
2008
Philippines 106,076 17,365 143,762,740 79,064 9,845 74,892,765
CAR 981 231 1,698,480 725 139 1,063,930
2009
Philippines 112,102 16,611 143,529,498 84,626 10,060 80,108,885
CAR 881 264 2,188,112 666 142 1,168,525
2010
Philippines 113,230 22,144 200,297,162 86,185 12,196 102,943,619
CAR 940 267 2,564,371 614 116 1,020,398
2011
Philippines 105,737 19,920 193,825,668 76,384 11,134 96,070,286
CAR 1,099 253 2,371,705 724 130 1,174,417
2012
Philippines 121,051 25,995 261,828,308 87,347 13,687 125,864,536
CAR 1,181 380 3,845,973 840 178 1,682,773
2013
Philippines 120,775 24,637 293,136,032 87,767 13,672 133,783,612
CAR 1,161 384 4,831,500 842 183 1,860,386
2014
Philippines 126,875 28,669 366,551,523 90,201 14,936 152,755,734
CAR 1,460 419 4,007,167 1,041 212 2,076,271
2015
Philippines 132,006 29,267 331,592,415 97,174 15,733 160,065,906
CAR 1,123 486 5,803,248 826 268 2,859,210
2016
Philippines 147,998 32,526,542 378,895,886 113,097 17,592,013 187,599,731
CAR 1,202 300,066 3,349,088 938 198,224 1,995,881
2017 /p
Philippines 140,605 29,634,432 306,284,231 102,417 15,132,524 151,533,557
CAR 1,219 359,468 4,388,499 885 228,640 2,483,924
Note: Details may not add up to total due to rounding
/p - data are preliminary
6-4
Table 6.2 Continued
Non-Residential Additions/Alterations and Repairs

Number Floor Area Value Number Floor Area Value
15,580 6,600 54,268,335 19,051 902 9,488,555

153 57 387,158 87 4 58,222
11,461 6,655 58,881,336 17,535 862 10,626,687

99 76 619,670 73 10 73,418
11,850 6,851 55,930,704 15,162 669 12,939,271

209 83 557,824 47 9 76,726
13,280 5,918 51,295,024 14,196 633 12,125,589

136 112 906,673 79 11 112,914
13,237 9,273 82,722,312 13,808 675 14,631,231

193 138 1,368,426 133 12 175,547
13,688 8,064 77,171,708 15,665 722 20,583,674

194 114 1,041,008 181 9 156,280
15,952 11,295 112,083,457 17,752 1,013 23,880,315

195 111 1,268,768 146 92 894,431
14,622 10,279 135,163,094 18,386 687 24,189,326

163 191 1,562,165 156 10 1,408,947
15,191 12,812 184,873,176 21,483 921 28,922,613

234 195 1,686,650 185 12 244,244
16,126 12,793 143,221,467 18,706 741 28,305,042

188 207 2,580,385 109 11 363,653
17,845 14,421,105 162,517,347 17,056 513,424 28,778,809

157 97,242 1,224,757 110 4,600 128,449
19,992 13,976,952 132,198,274 18,196 524,956 22,552,400

210 116,667 1,510,063 129 14,161 403,278
6-5
Table 6.3
VALUE OF REAL ESTATE SALES*
2002 - 2015
(Value in Million Pesos)
Philippines CAR
YEAR
Value % Change Value % Change
2002 77,655 1.8 870 20.0

2003 62,408 (19.6) 737 (15.3)
2004 44,780 (28.2) 646 (12.3)
2005 59,553 33.0 558 (13.6)
2006 62,048 4.2 743 33.2
2007 62,991 1.5 805 8.3
2008 150,556 139.0 731 (9.2)
2009 172,675 14.7 937 28.2
2010 162,841 (5.7) 1,862 98.7
2011 186,327 14.4 2,242 20.4
2012 98,489 (34.6) 1,381 88.9
2013 128,276 (25.7) 2,916 211.2
2014 175,447 7.7 5,340 186.8
2015 * 198,910 6.8 6,238 178.2
* Sales
*2015 data is from January to May 2015
Figure 6.1: Real Estate Sales, Philippines, 2002-2015
250,000
200,000
In '000 Pesos
150,000
100,000
50,000
-
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 *
Figure 6.2: Real Estate Sales, CAR, 2002-2015
7,000
6,000
In '000 Pesos
5,000
4,000
3,000
2,000
1,000
-
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 *
6-6
Table 6.4
VALUE OF INVESTMENTS AND EMPLOYMENT GENERATED BY PROVINCE
2010 - 2017
(Value in million pesos)
Area 2010 2011 2012 2013 2014 2015 2016 2017
CAR
Investments 2,107.0 2,858.5 3,290.6 2,160.4 2,393.6 2,116.8 2,222.5 1,360.9

Employment 23,319 21,772 24,905 17,108 21,823 25,809 33,361 22,189
Generated
Abra
Investments 203.4 297.5 355.6 294.2 306.0 360.4 390.0 280.7

Employment 4,345 4,937 5,691 3,758 4,188 4,784 5,389 4,601
Generated
Apayao
Investments 63.3 117.4 172.3 208.0 242.4 266.5 287.2 284.0

Employment 1,442 2,076 2,631 1,760 2,137 2,735 3,068 3,375
Generated
Baguio
Investments 1,270.1 1,658.1 1,356.3 379.2 643.4 359.2 368.0 150.1

Employment 12,559 9,498 6,378 2,060 5,385 2,904 3,057 1,033
Generated
Benguet
Investments … … 527.0 301.9 182.6 228.7 523.0 289.6

Employment … … 3,377 3,520 3,020 6,467 11,916 5,979
Generated
Ifugao
Investments 186.7 276.2 288.6 336.3 332.5 132.3 85.2 56.0

Employment 1,350 1,398 1,822 1,845 2,315 3,089 3,385 3,303
Generated
Kalinga
Investments 147.1 307.1 346.5 300.7 331.8 413.3 186.0 76.6

Employment 1,696 2,307 2,591 1,852 2,308 2,763 3,130 1,251
Generated
Mt. Province
Investments 236.4 202.2 244.4 340.2 354.9 356.4 383.2 223.9

Employment 1,927 1,556 2,415 2,313 2,470 3,067 3,416 2,647
Generated
Note: 2010 & 2011 data for Baguio City include Benguet province.
Source: Department of Trade and Industry
6-7
Chapter 7
TRADE
Data on trade reflect the extent of the inward and outward flow of commodities in the
area. Proprietors and the managers and executives or private businesses can use the
data in identifying markets with high potentials and in making decisions on which
commodities to produce and what market to penetrate. Leaders and implementers in
the government, on the other hand, can conceptualize and initiate programs, projects,
services, and facilities designed to further stimulate trading activities in high yielding
areas and/or in those sectors where a demand and supply gap exists. The data are
also useful in identifying areas and products that can be improved/promoted for global
competitiveness.
This chapter presents the data on the volume and value of commodities that enter
CAR either for exports or imports and the value of commodity flow in the region. The
Philippine Statistics Authority is the source of the data on commodity flow which are
processed from administrative reporting forms prescribed by agencies in government
involved in the collection of customs and tariff charges. Export and import data are also
provided by the PSA.
HIGHLIGHTS
• The value of exports in CAR increased by 651.8 percent from 85 million dollars in
2012 to 639 million dollars in 2013.
• During the same period, the value of imports increased by 42.1 percent.
7-1
Table 7.1 Regional Commodity Flow in the Philippines Via Air Mode 7-3
of Transport, 2013 - 2015
Table 7.2 Foreign Trade, 1999-2013 7-4
Figure 7.1 Value of Exports and Imports, CAR: 2003-2013 7-5
7-2
Table 7.1
REGIONAL COMMODITY FLOW IN THE PHILIPPINES VIA AIR MODE OF TRANSPORT
2013 - 2015
(In thousand pesos)
Year Region of Origin and Destination Total Value
2013 Philippines 1,278,917

NCR National Capital Region -
CAR Cordillera Administrative Region -
Region I Ilocos 5,589
Region II Cagayan Valley 3
Region III Central Luzon -
Region IV-A CALABARZON -
Region IV-B MIMAROPA 2,195
Region V Bicol 1,099
Region VI Western Visayas 240,277
Region VII Central Visayas 514,587
Region VIII Eastern Visayas 3,120
Region IX Western Mindanao 5,302
Region X Northern Mindanao 10,187
Region XI Southern Mindanao 306,103
Region XII Central Mindanao 186,247
Region XIII Caraga 1,710
ARMM Autonomous Region in Muslim Mindanao 2,499

NCR National Capital Region 448,118
Region III Central Luzon 50
Region IV-B MIMAROPA 2,307
Region V Bicol 1,823
Region XIII Caraga 829
ARMM Autonomous Region in Muslim Mindanao 51,104
NCR National Capital Region -
Region III Central Luzon -
Region IV-B MIMAROPA 41
Region V Bicol 205
Region XIII Caraga 4,187
ARMM Autonomous Region in Muslim Mindanao 169
Note: Details may not add to totals due to rounding.
7-3
Table 7.2
FOREIGN TRADE
1999-2013
(F.O.B. Value in Million U.S. Dollars)

Year Philippines
Value Percent Share
1999
Exports 35,037 1,743 5.0
Imports 30,742 1,157 3.8
2000
Exports 38,078 2,478 6.5
Imports 31,387 465 1.5
2001
Exports 32,150 659 2.0
Imports 20,413 1,153 5.6
2002
Exports 14,173 2,488 17.6
Imports 18,936 1,930 10.2
2003
Exports 36,231 2,782 7.7
Imports 37,497 2,445 6.5
2004
Exports 39,681 759 1.9
Imports 44,039 2,548 5.8
2005
Exports 41,255 1,086 2.6
Imports 47,418 2,486 5.2
2006
Exports 47,410 2,046 4.3
Imports 51,774 2,968 5.7
2007
Exports 50,466 472 0.9
Imports 55,514 2,342 4.2
2008
Exports 49,078 242 0.5
Imports 56,746 1,865 3.3
2009
Exports 38,436 2,370 6.2
Imports 43,092 1,905 4.4
2010
Exports 51,498 275 0.5
Imports 54,933 1,997 3.6
2011
Exports 48,305 35 0.1
Imports 60,496 1,339 2.2
2012
Exports 52,100 85 0.2
Imports 62,129 1,162 1.9
2013
Exports 56,698 639 1.1
Imports 62,411 673 1.1
Notes:1) Exports include domestic exports and re-exports.

2) Details may not add up to totals due to rounding.
7-4
Figure 7.1: Value of Exports and Imports, CAR: 2003-2013
3,500
3,000
Exports
Imports
Value (In million US dollars)
2,500
2,000
1,500
1,000
500
-
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Year
7-5

Chapter 8
TOURISM

Data on tourism provide a panorama of the region as a tourist destination. The

significance of the picture presented by the data manifests the importance accorded to
the tourism industry by both national and local leaders. Specifically, tourism has become
a twin source of foreign exchange receipts and livelihood and employment opportunities
for communities. Data on the industry are therefore essential in providing vital links in the
development and orchestration of campaigns aimed at promoting the potential of the
region as a tourist hideaway. Local leaders can help put up infrastructure programs and
centers and facilities and institute policies and regulations that will boost the inflow of
visitors. Investors, on the other hand, can take the signal by developing tourist and
recreational sites and putting up establishments and amenities. In concrete terms, the
data likewise provide a quantitative measure of the results of programs that promote the
area as a traveler’s destination, and the industry’s contribution to the economic

performance of the area.
This
chapter presents regional and/or provincial data on the following: visitor arrivals
and their countries of origin, the number of hotels and hotel rooms and other
accommodation facilities and their occupancy rates, and the average length of stay of
guests in accommodation facilities. The data source is the Department of Tourism.

HIGHLIGHTS

 Visitor arrivals in the Cordilleras boosted by 10.12 percent from 1,788,648 in 2016 to
1,969,707 in 2017.
 Domestic travelers comprised 94.78 percent of visitors in 2017.
 Among foreign tourists in 2017, the visitors from the US comprised the biggest
number with a share of 12.91 percent. The visitors from the France came next with
a share of 8.50 percent, the South Koreans at 8.16 percent, and the Chinese and the

Germans with 4.44 percent and 4.40 percent, respectively.

8 ‐ 1

Table 8.1 Visitor Arrivals by Country of Origin, 2008 - 2017 8-3
Table 8.2 Number of Hotels and Hotel Rooms by Classification and Province/City, 8-8
2000-2010
Table 8.3 Average Occupancy Rate of Accommodation Facilities by Province/City, 8-10
2003-2011
Table 8.4 Visitor Arrivals by Type of Tourists by Quarter and By Province, 8-13
2008 – 2017
Figure 8.1 Visitor Arrivals in CAR, 2008 - 2017 8-7
Figure 8.2 Visitor Arrivals in CAR by Type of Visitor, 2008 - 2017 8-7
8 ‐ 2

Table 8.1
VISITOR ARRIVALS BY COUNTRY OF ORIGIN
2008-2017
Country of Origin 2008 2009 2010 2011 2012
CAR 1,192,192 1,172,230 1,169,480 955,133 907,830
Domestic 1,072,038 1,070,364 1,066,072 862,908 826,907
Overseas Filipinos/ Balikbayan 8,839 12,883 7,827 7,140 3,697
Foreign 111,315 88,983 95,581 85,085 77,226
ASIA 33,963 26,950 26,062 31,383 29,985
Asean 4,863 3,301 3,149 3,655 3,472

Brunei 77 71 67 95 49
Cambodia 171 134 144 187 16
Indonesia 628 350 235 299 232
Laos - - - 1 17
Malaysia 1,414 889 775 1,140 1,253
Myanmar - - - 23 35
Singapore 1,480 1,205 1,337 1,300 1,234
Thailand 741 453 424 381 290
Vietnam 352 199 167 229 346
East Asia 25,893 21,833 20,707 25,268 23,184

China 3,177 2,272 1,771 4,122 3,006
Hongkong 1,552 1,091 1,606 893 878
Japan 6,206 5,169 4,422 3,570 4,125
Korea 14,059 12,518 11,965 16,132 14,513
Taiwan 899 783 943 551 662
South Asia 1,564 805 1,031 806 891

Bangladesh - - - 8 39
India 1,564 805 1,031 717 493
Iran - - - 69 93
Nepal - - - 2 94
Pakistan - - - 6 121
Sri Lanka - - - 4 51
Middle East 1,643 1,011 1,175 1,654 2,438

Bahrain - - - 30 52
Egypt - - - 7 41
Israel - - - 157 1,401
Jordan - - - 10 56
Kuwait - - - 45 64
Saudi Arabia 1,643 1,011 1,175 1,294 657
United Arab Emirates - - - 111 167
AMERICA 22,370 14,291 14,344 10,447 12,146
North America 22,370 14,291 14,344 10,355 11,738

Canada 6,858 4,263 3,284 2,928 3,106
Mexico 207 285
USA 15,512 10,028 11,060 7,220 8,347
Notes: 1. Based on hotel accommodations data.
2. Overseas Filipinos are Philippine passport holders who are living permanently abroad.
3. Overseas Filipinos or Balikbayans are added to the domestic travelers in 2002.
3. The Province of Abra has no data 2013.
Source: Department of Tourism - CAR
8-3
Table 8.1 Continued
2008-2017
South America - - - 92 408

Argentina - - - 22 191
Brazil - - - 46 161
Colombia - - - 7 18
Peru - - - 9 13
Venezuela - - - 8 25
EUROPE 28,473 24,738 25,397 24,541 23,499
Western Europe 17,712 16,449 15,331 14,144 15,036

Austria 1,074 1,372 1,229 1,036 684
Belgium 2,181 1,781 1,401 1,030 708
France 4,373 4,660 4,834 4,219 6,651
Germany 5,307 4,579 3,643 3,670 3,827
Luxembourg 23 124
Netherlands 2,980 2,394 2,578 2,130 1,416
Switzerland 1,797 1,663 1,646 2,036 1,626
Northern Europe 9,684 7,213 7,669 7,464 5,340

Denmark 1,907 1,587 1,795 1,566 1,219
Finland 534 421 357 352 201
Ireland 49 335
Norway 1,656 1,123 1,208 1,075 298
Sweden 1,491 986 1,376 1,317 668
United Kingdom 4,096 3,096 2,933 3,105 2,619
Southern Europe 1,077 1,076 2,397 2,730 1,988

Greece - - - 31 153
Italy - - 1,083 1,059 604
Portugal - - - 29 133
Spain 1,077 1,076 1,314 1,610 1,033
Union of Serbia &
Montenegro - - - 1 65
Eastern Europe - - - 203 1,135

Commonwealth of
Independent States - 361
Poland 133 494
Russia 70 280
AUSTRALASIA/PACIFIC 6,365 4,433 4,997 4,116 3,416
Australia 3,673 3,242 3,448 2,876 2,676

Guam - 65 201
Nauru - - 6
New Zealand 2,692 1,191 1,549 1,174 405
Papua New Guinea - 1 128
AFRICA 57 315
Nigeria 10 34
South Africa 47 281
Others/Not Specified 20,144 18,571 24,781 14,541 7,865
8-4
Table 8.1 Continued
2008-2017
CAR 1,114,440 1,156,463 1,491,867 1,788,648 1,969,707
Domestic 1,008,505 1,077,950 1,402,582 1,670,484 1,866,927
Overseas Filipinos/ Balikbayan 3,033 676 659 923 2,120
Foreign 102,902 77,837 79,001 117,241 100,660
ASIA 34,116 24,030 29,435 43,110 33,831
Asean 3,650 2,654 2,842 5,497 6,179

Brunei 56 76 59 89 185
Cambodia 45 84 55 114 82
Indonesia 260 372 259 518 311
Laos 19 77 61 66 44
Malaysia 929 758 777 873 1,044
Myanmar 43 53 64 118 251
Singapore 1,334 868 1,238 2,132 2,706
Thailand 656 265 232 1,006 1,205
Vietnam 308 101 97 581 351
East Asia 25,889 15,944 15,902 22,482 18,918

China 2,684 2,514 2,306 4,597 4,469
Hongkong 1,998 419 270 588 1,141
Japan 5,398 3,369 4,257 5,583 4,077
Korea 14,958 9,318 8,671 10,293 8,216
Taiwan 851 324 398 1,421 1,015
South Asia 1,082 1,065 1,364 2,533 2,227

Bangladesh 37 38 38 86 89
India 735 494 916 1,313 1,410
Iran 146 158 118 312 261
Nepal 36 181 144 317 133
Pakistan 107 55 112 395 243
Sri Lanka 21 139 36 110 91
Middle East 3,495 4,367 9,327 12,598 6,507

Bahrain 37 38 53 176 125
Egypt 43 46 150 230 135
Israel 2,144 2,891 7,858 6,685 3,365
Jordan 109 166 56 150 114
Kuwait 61 163 103 1,248 206
Saudi Arabia 734 655 818 2,074 1,460
United Arab Emirates 367 408 289 2,035 1,102
AMERICA 16,352 14,274 18,749 23,820 19,417
North America 15,930 13,802 18,350 22,479 18,405

Canada 4,405 3,224 3,688 5,825 4,395
Mexico 419 178 117 259 1,017
USA 11,106 10,400 14,545 16,395 12,993
8-5
Table 8.1 Continued
2008-2017
South America 422 472 399 1,341 1,012

Argentina 105 65 116 246 251
Brazil 179 155 130 275 372
Colombia 104 137 84 335 229
Peru 13 71 60 187 52
Venezuela 21 44 9 298 108
EUROPE 30,667 24,891 26,255 33,741 30,844
Western Europe 20,538 16,161 17,383 19,569 18,037

Austria 964 613 660 1,279 833
Belgium 971 820 3,123 1,449 1,029
France 9,022 7,299 5,327 8,037 8,561
Germany 5,527 4,419 5,503 4,708 4,432
Luxembourg 37 59 70 90 85
Netherlands 1,811 1,430 1,396 1,787 1,452
Switzerland 2,206 1,521 1,304 2,219 1,645
Northern Europe 5,907 5,132 5,379 7,606 6,441

Denmark 1,059 1,141 979 1,364 1,175
Finland 244 228 190 298 371
Ireland 423 253 367 644 373
Norway 324 334 256 700 367
Sweden 718 487 441 1,119 661
United Kingdom 3,139 2,689 3,146 3,481 3,494
Southern Europe 2,705 2,411 2,310 4,585 4,584

Greece 94 92 189 259 187
Italy 970 957 754 1,511 1,665
Portugal 150 121 169 679 327
Spain 1,488 1,183 1,178 2,027 2,380
Union of Serbia &
Montenegro 3 58 20 109 25
Eastern Europe 1,517 1,187 1,183 1,981 1,782

Commonwealth of 8
Independent States 19 9 133 28
Poland 1,168 854 805 1,017 1,078
Russia 330 324 370 831 676
AUSTRALASIA/PACIFIC 4,525 3,242 4,083 5,111 4,544
Australia 3,572 2,609 3,451 3,639 3,513

Guam 216 149 110 204 239
Nauru 23 65 72 52 30
New Zealand 617 393 418 1,145 731
Papua New Guinea 97 26 32 71 31
AFRICA 294 271 479 641 488
Nigeria 72 112 245 360 96

South Africa 222 159 234 281 392
Others/Not Specified 16,948 11,129 - 10,818 11,536
8-6
Figure 8.1: Visitor Arrivals in CAR, 2007-2017
2,500,000
2,000,000
1,500,000
1,000,000
500,000
-
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Year
Figure 8.2: Visitor Arrivals in CAR by Type of Visitor, 2007 - 2017
2,000,000
Domestic
1,800,000
Overseas Filipinos/ Balikbayan
1,600,000
Foreign
1,400,000
1,200,000
1,000,000
800,000
600,000
400,000
200,000
-
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Year
8-7
Table 8.2
NUMBER OF HOTELS AND HOTEL ROOMS BY CLASSIFICATION AND PROVINCE
2000 - 2010
Region / Province / 2000 2001 2002 2003 2004

Hotels Htls Rms Htls Rms Htls Rms Htls Rms Htls Rms
CAR 86 2,925 149 3,634 93 3,411 99 3,557 110 3,774

Class "A" Resort 3 364 3 364 4 476 4 476 4 476
Special Interest
Resort 3 40 3 40 3 32 3 32 3 32
Standard Class 13 641 13 641 17 929 19 1,013 17 954
Economy Class 14 379 14 379 11 292 13 288 16 445
Tourist Inn 27 646 30 741 30 714 32 759 36 877
Lodge 41 962 50 1,016 13 699 13 755 15 698
Apartel 7 121 7 121 3 130 3 82 3 82
Pension 28 308 28 308 10 96 10 123 14 167
Motor Lodge 1 24 1 24 2 43 2 29 2 43
Abra … … … … … … … … 8 82
Tourist Inn … … … … … … … … … …
Lodge … … … … … … … … … …
Pension … … … … … … … … … …
Apayao … … … … … … … … 2 8
Lodge … … … … … … … … 2 8
Baguio City 86 2,925 86 2,443 93 3,411 99 3,557 110 3,774

Class "A" Resort 3 364 4 360 4 476 4 476 4 476
Special Interest
Resort 2 10 2 13 3 32 3 32 3 32
Standard Class 12 559 15 812 17 929 19 1,013 17 954
Economy Class 13 367 11 271 11 292 13 288 16 445
Tourist Inn 27 683 29 702 30 714 32 759 36 877
Pension 4 49 4 49 10 96 10 123 14 167
Lodge 17 748 14 108 13 699 13 755 15 698
Apartel 7 121 6 104 3 130 3 82 3 82
Motor Lodge 1 24 1 24 2 43 2 29 2 43
Benguet … … … … … … … … 15 101
Special Interest
Resort … … … … … … … … … …
Tourist Inn … … … … … … … … … …
Lodge … … … … … … … … … …
Ifugao … … … … … … … … 18 281
Standard Class … … … … … … … … … …
Lodge … … … … … … … … … …
Pension … … … … … … … … … …
Kalinga … … … … … … … … 12 85
Lodge … … … … … … … … … …
Pension … … … … … … … … … …
Mt. Province … … … … … … … … 27 306

Economy Class … … … … … … … … … …
Lodge … … … … … … … … … …
Apartel … … … … … … … … … …
Pension … … … … … … … … … …
Note: Based on Hotel Accommodations. For 2001 and 2003, data on the number of hotels for Baguio is from CPDO.
Sources: Department of Tourism
City Planning & Development Office, Baguio City (CPDO-Baguio)
8-8
Table 8.2 Continued
Region / Province / 2005 2006 2007 2008 2009 2010

Hotels Htls Rms Htls Rms Htls Rms Htls Rms Htls Rms Htls Rms
CAR 221 4,832 209 4,990 195 5,074 195 5,094 201 4,764 201 4,690
Class "A" Resort … … … … … … … … … … … …
Special Interest
Resort … … … … … … … … … … … …
Standard Class … … … … … … … … … … … …
Economy Class … … … … … … … … … … … …
Tourist Inn … … … … … … … … … … … …
Lodge … … … … … … … … … … … …
Apartel … … … … … … … … … … … …
Pension … … … … … … … … … … … …
Motor Lodge … … … … … … … … … … … …
Abra 13 91 10 84 10 84 10 84 10 84 10 84
Tourist Inn … … … … … … … … … … … …
Lodge … … … … … … … … … … … …
Pension … … … … … … … … … … … …
Apayao 2 8 5 50 5 50 5 50 5 50 5 50
Lodge 2 8 … … … … … … … … … …
Baguio City 109 3,854 100 3,850 90 3,713 90 3,733 90 3,392 90 3,318
Class "A" Resort 4 476 4 482 4 482 4 482 4 447 4 447
Special Interest
Resort 3 32 1 7 1 8 1 8 1 7 1 7
Standard Class 18 1,011 20 1,237 19 1,237 19 1,237 19 1,078 19 1,078
Economy Class 16 494 14 475 11 403 11 403 11 358 11 358
Tourist Inn 36 851 30 725 28 654 28 654 27 656 27 619
Pension 13 167 13 138 11 143 11 143 11 117 11 117
Lodge 14 698 13 660 12 660 12 680 13 596 13 559
Apartel 3 82 3 88 3 88 3 88 3 95 3 95
Motor Lodge 2 43 2 38 1 38 1 38 1 38 1 38
Benguet 20 232 22 235 23 240 23 240 23 240 23 240

Special Interest
Resort … … … … … … … … … … … …
Tourist Inn … … … … … … … … … … … …
Lodge … … … … … … … … … … … …
Ifugao 38 256 38 390 33 553 33 553 33 553 33 553

Standard Class … … … … … … … … … … … …
Lodge … … … … … … … … … … … …
Pension … … … … … … … … … … … …
Kalinga 12 85 10 59 10 112 10 112 16 123 16 123

Lodge … … … … … … … … … … … …
Pension … … … … … … … … … … … …
Mt. Province 27 306 24 322 24 322 24 322 24 322 24 322

Economy Class … … … … … … … … … … … …
Lodge … … … … … … … … … … … …
Apartel … … … … … … … … … … … …
Pension … … … … … … … … … … … …
8-9
Table 8.3
AVERAGE OCCUPANCY RATE OF ACCOMMODATION FACILITIES BY PROVINCE/CITY
2003 - 2011
(In Percent)
Year / Occupancy Rate

Province Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec.
2003 CAR 36.4 37.4 42.1 60.2 33.5 30.7 59.5 41.1 43.0 40.0 38.8 45.1
Abra 24.7 25.5 39.1 22.9 21.5 18.2 46.1 39.0 32.8 36.2 25.0 24.0
Apayao … … … … … … … … … … … …
Baguio City 35.5 37.9 34.3 39.5 36.0 24.5 29.4 26.0 35.3 42.8 36.3 53.4
Benguet 68.6 67.6 94.3 192.6 73.2 89.2 244.9 137.7 147.6 72.9 79.5 91.9
Ifugao 21.4 27.5 25.6 57.5 36.6 24.8 6.9 6.5 11.0 39.2 38.1 38.5
Kalinga 46.2 44.8 35.8 9.8 9.9 10.0 15.5 23.9 16.5 19.5 27.3 31.2
Mt. Province 21.7 21.1 23.3 39.2 23.7 17.5 14.1 13.4 14.7 29.3 26.4 31.8
2004 CAR 32.9 34.4 32.5 34.0 30.9 19.9 35.2 39.5 41.0 33.8 32.0 35.5
Abra 72.0 52.8 60.2 12.4 11.6 12.0 16.6 16.3 19.0 16.9 17.2 21.7
Apayao 5.0 12.0 15.3 10.9 18.4 8.4 10.6 5.8 8.4 15.0 9.5 13.0
Baguio City 32.1 34.4 32.2 36.9 33.2 23.6 24.8 23.8 25.1 27.2 27.3 30.7
Benguet 42.0 57.9 25.1 91.2 60.4 43.6 72.4 73.4 59.9 63.6 70.5 75.6
Ifugao 58.1 61.3 72.8 66.2 65.9 38.7 53.4 72.5 83.4 83.1 79.3 95.3
Kalinga 7.5 7.4 8.1 7.0 17.7 9.5 65.3 80.7 88.1 27.4 16.4 7.4
Mt. Province 13.7 15.0 13.4 13.1 9.0 3.9 3.6 3.9 3.1 3.7 3.8 4.6
2005 CAR 24.1 27.0 30.2 30.5 29.0 25.9 28.9 30.4 30.6 27.3 27.1 30.6
Abra 17.5 22.4 26.8 10.8 12.8 12.5 6.0 9.9 5.5 4.5 6.4 6.5
Apayao 0.8 0.8 1.7 11.0 1.7 4.8 28.0 6.0 4.0 4.0 8.3 13.3
Baguio City 18.5 26.2 32.0 35.3 38.1 28.8 29.4 31.3 36.5 36.5 32.8 40.9
Benguet 27.4 31.8 25.3 29.7 31.8 31.2 29.4 31.5 37.1 37.1 27.3 40.3
Ifugao 31.1 31.4 44.4 47.2 39.6 26.2 25.7 35.2 16.0 16.0 19.4 14.8
Kalinga 66.9 70.4 72.3 72.9 73.4 73.3 78.5 93.9 87.3 87.3 90.0 91.1
Mt. Province 6.7 6.0 8.8 6.4 5.5 4.5 5.6 4.7 5.6 5.6 5.5 7.0
2006 CAR 30.4 36.9 36.3 26.4 28.3 29.7 23.7 23.6 23.2 20.6 21.0 22.5
Abra 0.5 1.2 1.4 1.0 0.6 0.6 1.0 0.7 0.9 0.6 1.1 3.4
Apayao 9.0 11.0 12.0 5.6 8.6 7.8 5.2 10.0 11.0 1.9 1.4 3.3
Baguio City 31.2 40.2 33.6 39.3 33.2 38.4 41.1 35.2 35.1 37.0 33.7 41.0
Benguet 26.9 27.7 29.0 29.7 31.8 31.2 22.4 17.0 23.1 29.0 30.4 32.8
Ifugao 29.2 23.1 27.7 28.1 25.2 19.4 14.9 13.1 13.5 24.7 27.0 25.8
Kalinga 57.8 89.2 61.8 40.2 54.9 71.6 52.0 62.2 52.9 41.2 43.1 33.3
Mt. Province 58.3 65.9 88.4 41.2 43.7 39.3 29.3 26.9 26.2 9.9 10.1 18.0
2007 CAR 27.1 30.1 35.0 30.5 27.6 25.8 23.3 21.3 25.3 23.7 22.0 25.2
Abra 4.4 5.5 7.6 5.3 5.6 5.2 19.1 18.2 21.1 19.3 22.7 24.3
Apayao 3.7 5.9 5.0 1.4 1.4 3.3 1.3 1.9 10.0 12.0 15.0 15.0
Baguio City 36.8 37.7 40.1 47.2 42.9 40.7 40.3 27.4 30.3 37.9 36.4 45.6
Benguet 32.0 18.4 16.8 31.9 35.0 34.1 20.8 23.2 19.7 29.0 30.4 32.8
Ifugao 29.3 31.9 37.9 44.5 29.2 20.4 32.1 26.2 30.3 25.2 28.8 39.2
Kalinga 39.8 48.6 49.0 24.1 25.0 41.8 30.4 33.2 44.7 35.7 13.7 9.5
Mt. Province 44.0 52.9 78.9 58.8 53.8 35.4 19.4 19.0 21.3 6.6 7.1 9.8
8 - 10
Table 8.3 Continued
AVERAGE OCCUPANCY RATE OF ACCOMMODATION FACILITIES BY PROVINCE/CITY
2003 - 2011
(In Percent)
Year / Occupancy Rate

Province Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec.
2008 CAR 28.9 29.1 33.0 37.7 30.7 21.5 20.8 22.7 20.4 21.6 24.1 28.0
Abra 28.4 18.2 45.9 28.3 19.7 11.4 14.4 25.9 25.8 28.3 30.1 36.0
Apayao 0.7 3.6 2.9 1.4 1.8 3.1 5.7 5.7 8.6 4.5 1.4 2.3
Baguio City 33.9 39.0 36.5 42.5 43.6 38.0 34.3 38.1 32.7 35.3 36.9 43.0
Benguet 35.2 28.6 26.9 37.0 37.0 27.7 30.0 29.9 22.8 23.3 25.0 41.8
Ifugao 47.2 52.2 62.7 75.3 36.4 24.1 26.7 19.2 20.1 29.0 32.4 39.1
Kalinga 15.2 23.7 12.0 13.5 12.4 11.9 14.0 20.4 10.9 10.8 16.2 8.9
Mt. Province 41.5 38.3 44.0 66.0 64.2 34.5 20.5 19.8 22.2 19.9 26.6 25.2
2009 CAR 33.5 39.4 41.6 43.2 39.6 34.4 29.5 28.6 31.1 26.9 35.5 45.4
Abra 26.6 21.8 57.4 39.6 22.2 19.2 17.0 27.3 26.6 33.2 34.8 43.2
Apayao 1.0 9.4 6.5 6.9 7.1 9.2 2.4 4.1 18.0 2.4 5.3 2.4
Baguio City 40.3 38.8 38.3 48.4 54.1 60.5 51.6 45.7 48.4 24.8 42.7 58.7
Benguet 37.0 34.7 30.6 42.4 35.5 31.7 38.1 32.2 30.9 20.1 39.1 69.3
Ifugao 40.0 45.0 45.0 52.6 37.8 23.5 26.5 24.1 20.6 27.3 39.4 49.2
Kalinga 38.5 75.4 53.4 37.9 41.7 0.0 48.7 48.8 54.9 48.1 47.0 51.8
Mt. Province 51.4 50.4 59.7 75.0 78.6 45.5 22.4 18.2 18.3 32.7 40.3 43.1
2010 CAR 28.3 33.9 37.5 42.7 36.6 25.1 20.2 21.0 27.4 23.6 36.5 40.4
Abra 8.5 14.3 26.7 25.3 14.5 11.9 8.1 9.5 12.1 11.4 15.6 17.2
Apayao 1.8 6.7 9.8 1.5 8.8 5.3 4.5 5.5 6.5 8.3 8.3 5.7
Baguio City 33.6 43.7 37.8 41.3 38.8 34.7 44.6 25.2 36.1 29.1 37.0 43.6
Benguet 38.0 30.8 31.0 45.1 44.7 32.1 22.0 45.0 46.0 48.0 47.0 49.0
Ifugao 44.0 49.6 48.5 46.9 35.4 20.6 21.8 23.1 25.3 24.2 32.2 47.0
Kalinga 53.3 74.4 70.3 46.9 55.4 46.2 21.5 19.0 38.0 19.7 80.0 75.0
Mt. Province 19.1 17.6 38.3 92.2 58.5 25.2 19.2 19.7 28.1 24.9 35.2 45.5
2011 CAR … … … … … … … … … … … …
Abra … … … … … … … … … … … …
Apayao … … … … … … … … … … … …
Baguio City 35.9 44.6 34.0 43.3 35.6 26.5 32.0 29.8 23.8 26.7 33.4 36.8
Benguet … … … … … … … … … … … …
Ifugao … … … … … … … … … … … …
Kalinga … … … … … … … … … … … …
Mt. Province … … … … … … … … … … … …
Note: Based on Hotel Accommodations

Source: Department of Tourism
8 - 11
Table 8.4
VISITOR ARRIVALS BY TYPE OF TOURISTS BY QUARTER AND BY PROVINCE
2008 - 2017
2008
CITY/PROVINCE
Q1 Q2 Q3 Q4 TOTAL
CAR 283,946 354,932 262,095 293,023 1,193,996

Domestic 242,824 326,141 234,193 268,880 1,072,038
Foreign 38,593 27,040 26,019 21,467 113,119
Balikbayan 2,529 1,751 1,883 2,676 8,839
Abra 1,864 1,199 1,334 1,902 6,299

Domestic 1,830 1,195 1,295 1,869 6,189
Foreign 34 4 39 33 110
Balikbayan - - - - -
Apayao 1,784 1,740 1,455 1,153 6,132

Domestic 1,618 1,692 1,420 1,108 5,838
Foreign 96 48 20 43 207
Balikbayan 70 - 15 2 87
Baguio City 198,780 235,170 173,599 207,426 814,975

Domestic 179,339 226,153 163,372 196,989 765,853
Foreign 18,076 8,425 9,478 9,481 45,460
Balikbayan 1,365 592 749 956 3,662
Benguet 31,440 66,537 46,910 49,604 194,491

Domestic 29,836 65,891 46,058 49,075 190,860
Foreign 1,604 582 765 417 3,368
Balikbayan - 64 87 112 263
Ifugao 31,685 31,034 27,154 20,807 110,680

Domestic 13,605 14,204 11,899 10,326 50,034
Foreign 17,022 15,759 14,284 8,947 56,012
Balikbayan 1,058 1,071 971 1,534 4,634
Kalinga 8,822 6,524 6,816 6,593 28,755

Domestic 8,120 6,030 6,030 5,982 26,162
Foreign 666 470 725 539 2,400
Balikbayan 36 24 61 72 193
Mt. Province 9,571 12,728 4,827 5,538 32,664

Domestic 8,476 10,976 4,119 3,531 27,102
Foreign 1,095 1,752 708 2,007 5,562
8 - 12
Table 8.4 Continued
2009
CITY/PROVINCE
Q1 Q2 Q3 Q4 TOTAL
CAR 297,366 344,402 268,373 263,047 1,173,188

Domestic 267,263 317,515 247,896 237,690 1,070,364
Foreign 25,789 24,098 16,645 23,409 89,941
Balikbayan 4,314 2,789 3,832 1,948 12,883
Abra 2,133 1,634 1,430 2,241 7,438

Domestic 2,028 1,501 1,363 2,131 7,023
Foreign 46 80 54 53 233
Balikbayan 59 53 13 57 182
Apayao 11,674 2,350 569 2,320 16,913

Domestic 11,486 2,271 546 2,274 16,577
Foreign 7 70 9 19 105
Balikbayan 181 9 14 27 231
Baguio City 202,290 220,114 180,352 167,431 770,187

Domestic 188,295 210,200 170,508 160,426 729,429
Foreign 11,103 8,029 6,966 6,287 32,385
Balikbayan 2,892 1,885 2,878 718 8,373
Benguet 41,298 66,845 48,512 48,377 205,032

Domestic 39,505 66,416 47,743 47,665 201,329
Foreign 1,433 429 620 575 3,057
Balikbayan 360 - 149 137 646
Ifugao 19,202 30,423 25,044 27,525 102,194

Domestic 7,168 16,484 16,732 12,982 53,366
Foreign 11,236 13,172 7,619 13,613 45,640
Balikbayan 798 767 693 930 3,188
Kalinga 8,289 7,650 7,922 6,180 30,041

Domestic 7,906 7,207 7,157 5,540 27,810
Foreign 359 371 680 561 1,971
Balikbayan 24 72 85 79 260
Mt. Province 12,480 15,386 4,544 8,973 41,383

Domestic 10,875 13,436 3,847 6,672 34,830
Foreign 1,605 1,947 697 2,301 6,550
Balikbayan - 3 - - 3
8 - 13
Table 8.4 Continued
2008 - 2017
2010
CITY/PROVINCE
Q1 Q2 Q3 Q4 TOTAL
CAR 304,804 338,197 244,682 281,797 1,169,480

Domestic 278,519 313,759 222,070 251,724 1,066,072
Foreign 24,280 23,149 20,520 27,632 95,581
Balikbayan 2,005 1,289 2,092 2,441 7,827
Abra 999 1,042 599 890 3,530

Domestic 914 1,001 571 783 3,269
Foreign 85 41 28 107 261
Apayao 13,422 10,997 694 1,502 26,615

Domestic 13,334 10,856 656 1,443 26,289
Foreign 24 51 16 12 103
Balikbayan 64 90 22 47 223
Baguio City 201,234 199,397 159,777 177,978 738,386

Domestic 191,073 191,194 151,355 169,007 702,629
Foreign 9,359 7,519 7,238 8,283 32,399
Balikbayan 802 684 1,184 688 3,358
Benguet 52,636 77,275 48,513 49,888 228,312

Domestic 50,611 75,400 47,743 49,006 222,760
Foreign 1,589 1,429 621 733 4,372
Balikbayan 436 446 149 149 1,180
Ifugao 22,096 24,658 25,738 30,978 103,470

Domestic 10,174 12,271 13,361 12,731 48,537
Foreign 11,304 12,387 11,680 16,756 52,127
Balikbayan 618 - 697 1,491 2,806
Kalinga 8,623 11,239 4,186 12,405 36,453

Domestic 8,050 10,785 3,997 12,168 35,000
Foreign 488 385 149 171 1,193
Balikbayan 85 69 40 66 260
Mt. Province 5,794 13,589 5,175 8,156 32,714

Domestic 4,363 12,252 4,387 6,586 27,588
Foreign 1,431 1,337 788 1,570 5,126
8 - 14
Table 8.4 Continued
2011
CITY/PROVINCE
Q1 Q2 Q3 Q4 TOTAL
CAR 243,622 288,243 187,478 235,790 955,133

Domestic 211,474 263,655 166,974 220,805 862,908
Foreign 29,195 23,116 18,733 14,041 85,085
Balikbayan 2,953 1,472 1,771 944 7,140
Abra 1,633 753 502 1,576 4,464

Domestic 1,537 734 498 1,572 4,341
Foreign 96 19 4 4 123
Apayao 5,447 3,416 692 587 10,142

Domestic 5,407 3,387 656 542 9,992
Foreign 19 4 14 5 42
Balikbayan 21 25 22 40 108
Baguio City 148,714 164,416 102,968 136,399 552,497

Domestic 140,651 157,391 95,459 129,615 523,116
Foreign 6,541 6,248 6,301 6,016 25,106
Balikbayan 1,522 777 1,208 768 4,275
Benguet 48,790 83,875 47,252 68,981 248,898

Domestic 43,049 78,784 46,105 67,889 235,827
Foreign 5,741 5,052 1,075 1,092 12,960
Balikbayan - 39 72 - 111
Ifugao 24,189 24,806 24,080 14,326 87,401

Domestic 9,129 14,035 13,542 9,084 45,790
Foreign 13,704 10,245 10,125 5,191 39,265
Balikbayan 1,356 526 413 51 2,346
Kalinga 3,916 5,713 7,226 8,623 25,478

Domestic 3,733 5,345 6,821 8,050 23,949
Foreign 129 263 349 488 1,229
Balikbayan 54 105 56 85 300
Mt. Province 10,933 5,264 4,758 5,298 26,253

Domestic 7,968 3,979 3,893 4,053 19,893
Foreign 2,965 1,285 865 1,245 6,360
8 - 15
Table 8.4 Continued
2008 - 2017
2012
CITY/PROVINCE
Q1 Q2 Q3 Q4 TOTAL
CAR 247,123 279,192 151,959 234,234 912,508

Domestic 219,083 258,400 139,123 214,277 830,883
Foreign 26,543 19,886 12,653 18,831 77,913
Balikbayan 1,497 906 183 1,126 3,712
Abra 2,459 623 678 959 4,719

Domestic 2,006 572 565 833 3,976
Foreign 453 51 106 118 728
Balikbayan - - 7 8 15
Apayao 1,764 1,251 1,065 793 4,873

Domestic 1,720 1,159 1,040 720 4,639
Foreign 23 18 17 49 107
Balikbayan 21 74 8 24 127
Baguio City 162,644 179,996 105,709 168,730 617,079

Domestic 152,777 170,726 100,352 161,077 584,932
Foreign 8,499 8,641 5,199 6,592 28,931
Balikbayan 1,368 629 158 1,061 3,216
Benguet 45,127 56,630 20,099 34,776 156,632

Domestic 39,203 55,156 19,008 31,511 144,878
Foreign 5,876 1,332 1,084 3,260 11,552
Ifugao 20,253 18,000 9,981 14,540 62,774

Domestic 10,294 12,634 6,421 8,309 37,658
Foreign 9,899 5,305 3,557 6,203 24,964
Kalinga 6,568 8,025 8,455 8,471 31,519

Domestic 5,445 7,007 7,901 7,991 28,344
Foreign 1,123 1,018 554 480 3,175
Mt. Province 8,308 14,667 5,972 5,965 34,912

Domestic 7,638 11,146 3,836 3,836 26,456
Foreign 670 3,521 2,136 2,129 8,456
8 - 16
Table 8.4 Continued
2013
CITY/PROVINCE
Q1 Q2 Q3 Q4 TOTAL
CAR 315,664 288,485 203,236 307,055 1,114,440

Domestic 275,785 266,614 188,013 278,093 1,008,505
Foreign 38,040 21,206 14,982 28,674 102,902
Balikbayan 1,839 665 241 288 3,033
Abra - - - - -
Domestic … … … … …
Foreign … … … … …
Balikbayan … … … … …
Apayao 1,452 2,326 2,100 1,389 7,267

Domestic 1,380 2,246 2,014 1,389 7,029
Foreign 40 55 55 - 150
Balikbayan 32 25 31 - 88
Baguio City 224,788 213,110 162,817 242,758 843,473

Domestic 214,605 205,018 154,652 227,948 802,223
Foreign 8,535 7,483 7,962 14,627 38,607
Balikbayan 1,648 609 203 183 2,643
Benguet 35,695 22,775 11,811 34,771 105,052

Domestic 26,787 20,778 11,537 31,516 90,618
Foreign 8,908 1,997 274 3,255 14,434
Balikbayan ... ... ... ... -
Ifugao 24,550 19,472 6,531 17,791 68,344

Domestic 10,634 12,522 2,900 8,164 34,220
Foreign 13,757 6,919 3,624 9,522 33,822
Balikbayan 159 31 7 105 302
Kalinga 9,640 10,194 10,512 582 30,928

Domestic 8,763 9,236 10,060 412 28,471
Foreign 877 958 452 170 2,457
Mt. Province 19,539 20,608 9,465 9,764 59,376

Domestic 13,616 16,814 6,850 8,664 45,944
Foreign 5,923 3,794 2,615 1,100 13,432
8 - 17
Table 8.4 Continued
2008 - 2017
2014
CITY/PROVINCE
Q1 Q2 Q3 Q4 TOTAL
CAR 307,020 302,001 213,459 333,983 1,156,463

Domestic 279,511 283,337 202,327 312,775 1,077,950
Foreign 27,177 18,509 11,064 21,087 77,837
Balikbayan 332 155 68 121 676
Abra 1,965 2,019 1,855 2,218 8,057

Domestic 1,821 1,866 1,787 2121 7,595
Foreign 144 153 68 97 462
Apayao 1,518 1,899 1,289 1,303 6,009

Domestic 1,425 1,782 1,272 1,263 5,742
Foreign 72 52 17 14 155
Balikbayan 21 65 - 26 112
Baguio City 239,517 242,970 174,545 275,260 932,292

Domestic 228,553 234,688 168,220 266,981 898,442
Foreign 10,752 8,226 6,281 8,263 33,522
Balikbayan 212 56 44 16 328
Benguet 14,892 11,426 6,034 17,002 49,354

Domestic 14,740 10,999 5,958 12,378 44,075
Foreign 147 427 76 4,545 5,195
Balikbayan 5 - - 79 84
Ifugao 20,848 21,396 8,686 15,035 65,965

Domestic 8,207 12,704 5,296 8,364 34,571
Foreign 12,557 8,658 3,366 6,671 31,252
Balikbayan 84 34 24 - 142
Kalinga 9,388 9,896 10,096 9,888 39,268

Domestic 8,731 9,196 9,728 9,637 37,292
Foreign 657 700 368 251 1,976
Mt. Province 18,892 12,395 10,954 13,277 55,518

Domestic 16,034 12,102 10,066 12,031 50,233
Foreign 2,848 293 888 1,246 5,275
Balikbayan 10 - - - 10
8 - 18
Table 8.4 Continued
2015
CITY/PROVINCE
Q1 Q2 Q3 Q4 TOTAL
CAR 421,831 437,163 259,485 373,388 1,491,867

Domestic 387,979 415,728 246,095 352,780 1,402,582
Foreign 33,580 21,231 13,345 20,470 88,626
Balikbayan 272 204 45 138 659
Abra 4,234 6,279 4,604 6,285 21,402

Domestic 4,039 6,014 4,523 6137 20,713
Foreign 195 265 81 148 689
Apayao
Domestic 1,323 1,641 1,579 936 5,479
Foreign 9 46 3 - 58
Balikbayan 42 38 25 49 154
Baguio City
Domestic 312,193 310,983 188,737 271,939 1,083,852
Foreign 8,960 6,851 6,197 9,151 31,159
Benguet
Domestic 24,751 20,935 18,605 18,494 82,785
Foreign 552 1,404 865 838 3,659
Ifugao
Domestic 8,617 16,287 6,189 8,209 39,302
Foreign 15,189 5,743 2,929 5,655 29,516
Balikbayan 52 106 - - 158
Kalinga
Domestic 27,311 31,564 20,541 25,372 104,788
Foreign 6,339 4,544 1,988 1,953 14,824
-
Mt. Province -
Domestic 9,745 28,304 5,921 21,693 65,663
Foreign 2,336 2,378 1,282 2,725 8,721
8 - 19
Table 8.4 Continued
2008 - 2017
2016
CITY/PROVINCE
Q1 Q2 Q3 Q4 TOTAL
CAR 462,489 494,169 328,839 503,151 1,788,648

Domestic 427,064 460,467 307,965 474,988 1,670,484
Foreign 35,404 33,603 20,788 27,446 117,241
Balikbayan 21 99 86 717 923
Abra 5,315 2,942 - - 8,257

Domestic 5,068 2,845 - - 7,913
Foreign 247 97 344
Balikbayan - - -
Apayao 874 1,082 883 1,128 3,967

Domestic 853 1,038 865 1,087 3,843
Foreign - 20 3 - 23
Balikbayan 21 24 15 41 101
Baguio City 315,530 341,797 241,277 396,302 1,294,906

Domestic 303,955 328,565 230,456 380,745 1,243,721
Foreign 11,575 13,232 10,754 15,217 50,778
Benguet 23,992 21,422 19,412 26,553 91,379

Domestic 23,036 19,877 18,645 25,326 86,884
Foreign 956 1,470 763 891 4,080
Balikbayan - 75 4 336 415
Ifugao 19,037 18,412 11,153 15,753 64,355

Domestic 8,612 10,841 7,653 8,937 36,043
Foreign 10,425 7,571 3,500 6,816 28,312
Kalinga 53,234 58,032 32,635 24,041 167,942

Domestic 45,848 50,349 28,672 22,421 147,290
Foreign 7,386 7,683 3,963 1,620 20,652
Mt. Province 44,507 50,482 23,479 39,374 157,842

Domestic 39,692 46,952 21,674 36,472 144,790
Foreign 4,815 3,530 1,805 2,902 13,052
8 - 20
Table 8.4 Continued
2017
CITY/PROVINCE
Q1 Q2 Q3 Q4 TOTAL
CAR 498,374 504,904 375,516 590,913 1,969,707

Domestic 460,489 482,482 359,585 564,371 1,866,927
Foreign 37,674 22,152 15,193 25,641 100,660
Balikbayan 211 270 738 901 2,120
Abra 172 197 - - 369

Domestic 133 130 263
Foreign 39 67 106
Balikbayan - - -
Apayao 611 519 644 841 2,615

Domestic 563 469 608 795 2,435
Foreign - - 12 - 12
Balikbayan 48 50 24 46 168
Baguio City 373,519 385,968 298,655 463,606 1,521,748

Domestic 360,240 374,462 289,948 448,595 1,473,245
Foreign 13,263 11,366 8,626 15,006 48,261
Balikbayan 16 140 81 5 242
Benguet 21,902 26,349 13,281 24,656 86,188

Domestic 19,968 25,568 12,088 22,717 80,341
Foreign 1,918 701 593 1,089 4,301
Balikbayan 16 80 600 850 1,546
Ifugao 27,092 15,486 11,383 17,384 71,345

Domestic 12,194 10,568 8,876 12,527 44,165
Foreign 14,767 4,918 2,474 4,857 27,016
Balikbayan 131 - 33 -
-
Kalinga 31,149 25,838 27,755 35,035 119,777
Domestic 28,378 24,019 25,799 33,015 111,211
Foreign 2,771 1,819 1,956 2,020 8,566
Mt. Province 43,929 50,547 23,798 49,391 167,665

Domestic 39,013 47,266 22,266 46,722 155,267
Foreign 4,916 3,281 1,532 2,669 12,398
8 - 21
Chapter 9
HEALTH, NUTRITION &
VITAL STATISTICS
Data on vital events, health and nutrition are key inputs to programs aimed at
providing the basic minimum services to the citizenry. The data provide a profile of the
health status and the level, causes and patterns of the mortality and morbidity of the
population. The health and nutrition status of the people are an utmost concern of local
governance. The focus of current development efforts is towards extending better
services and expanding the delivery systems even to the remotest rural communities.
This is anchored on the concept that no individual should be deprived of the right to
health care. Furthermore, the strength and well-being of the people influence their
capabilities to engage in various economic endeavors. A cross-analysis of the data with
the demographic and socioeconomic information of the target population shows the
existing and potential problems in an area. The health and nutrition status of the
population should therefore be a priority in public service and be resolved immediately
so as to truly empower the people, an objective of growth and development. These
concerns and objectives necessitate the provision of data as bases in the delivery of
services catering to the health and nutritional requirements of individuals.
This chapter presents statistics for the region and its provinces/city on the registration
of vital events occurring in these areas. The data include the number of births, deaths
and marriages, including infant, foetal and maternal deaths, and the leading causes of
mortality. This chapter likewise contains data on fertility, projected life expectancies and
the number of health personnel and facilities. Meanwhile, the data on health and
nutrition presented include the nutritional status of children, the leading causes of
morbidity, and notifiable diseases. The sources of data are the Philippine Statistics
Authority - National Statistics Office for vital statistics (processed using the certificates
of births, deaths, and marriages), fertility rates and the data on mortality by sex and
age group. Data on average life expectancies were estimated based on the results of
vital and demographic events and were generated by the Technical Working Group on
Population Projections of the National Statistical Coordination Board while those based
on the census of population were sourced from the PSA. The data on causes of
mortality and morbidity, notifiable diseases, and health personnel and facilities were
sourced from the Department of Health. This chapter also presents nine (9) Millennium
Development Goals (MDG) indicators. Look for the tables with the MDG icon: .
HIGHLIGHTS
• For the period 2015 - 2020, the projected life expectancy of women is 73 years
compared to only 67 years for men.
9-1
Table 9.1 Number of Registered Marriages by Province and Month, 2014 - 2017 9-4
Table 9.2A Number and Registered Births by Province and Month, 2014 - 2017 9-5
Table 9.2B Number of Registered Live Births by Attendant at Birth and Province/City, 2004 - 2017 9-6
Table 9.3 Projected Total Fertility Rate by Region, Medium Assumption, 2010 - 2045 9-10
Table 9.4A Number of Registered Deaths by Province and Month, 2014 - 2017 9-11
Table 9.4B Number and Rate of Maternal Deaths, Infant Deaths, Stillbirths and 9-13
Neonatal Tetanus Deaths by Province/City, 2013-2015
Table 9.5A Leading Causes of Mortality, Number and Rate, CAR, 2011-2015 9-14
Table 9.5B Leading Causes of Mortality, Number and Rate by Province/City, 2009- 2013 9-15
Table 9.5C Leading Causes of Infant Mortality, Number and Rate, 2001-2004, 2011-2013 9-19
Table 9.5D Leading Causes of Maternal Mortality, Number and Rate, 2002-2004, 2011-2013 9-20
Table 9.6A Leading Causes of Morbidity, Number and Rate, 2004-2006, 2011-2013 9-21
Table 9.6B Leading Causes of Morbidity, Number and Rate by Province/City, 2012-2013 9-22
Table 9.7 Notifiable Diseases, Reported Cases and Deaths by Cause and Province/City, 2000-2004 9-25
Table 9.8 Projected Life Expectancy at Birth by Sex, by Five-Year Interval and Province, 2010 - 2045 9-29
Table 9.9 Number and Bed Capacity of Government and Private Hospitals by Province/City, 9-30
2010-2015
Table 9.10 Number of Barangay Health Stations by Province/City, 2005 - 2017 9-32
Table 9.11 Number of Health Workers in Local Government Units by by Province/City, 2008 - 2017 9-33
Table 9.12 Number of Newborns with Weight at Birth of 2.5 Kgs. or More by Province/City, 2008-2017 9-37
Table 9.13 Infant Mortality Rate (Less Than 1 Year Old) by Province/City, 1995-2017 9-38
Table 9.14 Number and Percentage of Households with Access to Safe Water 9-39
by Province/City, 2009 - 2017
Table 9.15 Number and Percentage of Households with Access to Sanitary Toilet 9-40
by Province/City, 2008-2017
Table 9.16 Percentage of Fully Immunized Children, Infants Given BCG and Measles 9-41
Vaccines by Province/City, 2007 - 2017
Table 9.17 Number and Percentage of Pregnant Women Immunized with 9-42
Tetanus Toxoid (TT2) by Province/City, 2007-2017
Table 9.18 Number and Percentage of Pregnant Women Immunized with 9-43
3 or More Pre-natal Visits by Province/City, 2007-2017
9-2
Table 9.19 Prevalence of Underweight Childtren Under 5 Years of Age 9-44
by Province/City, 1990, 2005-2010
Table 9.20 Prevalence of Underweight Childtren 0- 5 Years of Age 9-44

by Province/City, 1990, 1998, 2003, & 2008
Table 9.21 Malaria Prevalence Rate by Province/City, 1998-2014 9-45
Table 9.22 Proportion of Tunerculosis Cases Detected and Cured Under Directly Observed 9-45
Treatment Short Course (DOTS) by Province/City, 2001-2014
Table 9.23 New Users of Family Planning by Method and by Province/City, 2017 9-46
Table 9.24 Continuing Users of Family Planning by Method and by Province/City, 2017 9-47
Figure 9.1 Number of Registered Marriages in CAR, 2004 - 2017 9-10
Figure 9.2 Maternal and Infant Death Rates, CAR, 2007 - 2017 9-39
9-3
Table 9.1
NUMBER OF REGISTERED MARRIAGES BY PROVINCE AND MONTH
2014 - 2017
Year/ Baguio Mt.

CAR Abra Apayao Benguet Ifugao Kalinga
Month City Province
CY 2014 10,067 1,359 498 1,670 2,811 1,500 1,278 951

Jan 1,219 243 50 130 353 113 212 118
Feb 864 170 69 108 104 269 58 86
Mar 877 100 51 166 282 42 156 80
Apr 1,141 186 45 179 368 129 121 113
May 1,278 218 84 222 349 145 141 119
Jun 1,043 103 59 111 196 371 108 95
Jul 590 53 42 108 179 65 95 48
Aug 456 36 27 79 152 57 67 38
Sep 510 64 20 87 153 71 65 50
Oct 577 65 26 137 158 64 61 66
Nov 456 29 13 60 172 63 62 57
Dec 1,056 92 12 283 345 111 132 81
CY 2015 9,327 1,102 605 1,673 2,650 1,211 1,079 1,007

Jan 1,161 176 52 199 360 102 149 123
Feb 630 79 64 92 156 132 60 47
Mar 754 60 38 146 218 168 52 72
Apr 1,116 150 60 182 336 136 122 130
May 1,145 193 108 169 298 138 133 106
Jun 915 111 78 153 246 90 112 125
Jul 534 51 29 118 141 57 76 62
Aug 439 45 35 75 126 55 47 56
Sep 532 29 24 109 161 65 71 73
Oct 626 52 61 147 177 77 48 64
Nov 419 38 15 70 120 67 56 53
Dec 1,056 118 41 213 311 124 153 96
CY 2016 9,658 1,509 733 1,665 2,654 1,132 1,076 889

Jan 1,061 162 65 193 317 90 145 89
Feb 795 124 114 132 158 146 75 46
Mar 780 91 20 112 279 130 63 85
Apr 1,371 256 121 192 343 181 141 137
May 1,291 237 148 176 289 130 181 130
Jun 1,012 347 46 129 263 58 99 70
Jul 573 53 62 123 167 52 60 56
Aug 528 42 23 111 154 72 74 52
Sep 400 38 19 70 136 44 52 41
Oct 490 28 60 126 118 70 39 49
Nov 494 44 34 88 152 57 72 47
Dec 863 87 21 213 278 102 75 87
CY 2017 9,247 1,027 636 1,704 2,705 1,198 1,173 804

Jan 1,197 176 52 229 366 128 150 96
Feb 646 130 53 105 123 127 56 52
Mar 782 62 34 128 251 131 91 85
Apr 874 157 44 145 261 104 77 86
May 1,292 208 109 207 354 152 158 104
Jun 826 0 98 186 235 96 131 80
Jul 561 46 72 107 158 54 68 56
Aug 533 38 40 98 194 75 51 37
Sep 413 34 26 73 124 57 64 35
Oct 647 65 40 112 194 88 111 37
Nov 544 36 25 143 168 67 54 51
Dec 932 75 43 171 277 119 162 85
9-4
Table 9.2A
NUMBER OF REGISTERED BIRTHS BY PROVINCE AND MONTH
2014 - 2017
Year/ Baguio Mt.
Month City Province
CY 2014 42,215 5,888 3,300 10,963 7,863 4,369 5,923 3,909

Jan 3,868 487 291 1,075 759 377 465 414
Feb 3,664 547 291 883 715 374 496 358
Mar 3,499 456 294 834 694 381 529 311
Apr 3,353 497 213 829 609 382 487 336
May 3,632 483 267 994 677 368 533 310
Jun 3,477 486 281 859 618 371 548 314
Jul 3,453 478 298 969 631 361 449 267
Aug 3,146 462 263 754 636 312 415 304
Sep 3,663 545 260 993 638 364 501 362
Oct 3,761 516 315 1,060 652 336 548 334
Nov 3,514 424 329 946 599 368 531 317
Dec 3,185 507 198 767 635 375 421 282
CY 2015 40,643 5,519 3,395 10,346 7,448 4,139 5,716 4,080

Jan 3,882 529 277 1,198 685 347 484 362
Feb 3,348 522 295 787 615 371 395 363
Mar 3,619 431 337 861 648 420 541 381
Apr 3,268 408 280 815 626 350 518 271
May 3,340 496 274 773 620 322 510 345
Jun 3,446 559 279 785 656 341 487 339
Jul 3,196 410 297 851 507 333 476 322
Aug 2,860 397 247 739 496 267 433 281
Sep 3,607 515 265 956 661 353 489 368
Oct 3,722 473 363 1,043 620 349 522 352
Nov 3,276 381 167 867 700 348 480 333
Dec 3,079 398 314 671 614 338 381 363
CY 2016 39,531 4,967 3,218 10,298 7,294 4,002 5,607 4,145

Jan 3,792 425 272 1,187 686 369 495 358
Feb 3,316 411 333 749 611 363 444 405
Mar 3,361 430 266 780 655 324 550 356
Apr 3,139 402 267 764 595 320 466 325
May 3,258 425 271 927 561 328 420 326
Jun 3,011 390 221 722 572 303 449 354
Jul 3,244 392 295 857 674 281 423 322
Aug 3,342 381 235 904 544 383 513 382
Sep 3,427 413 271 843 634 372 545 349
Oct 3,068 381 251 872 544 280 444 296
Nov 3,339 468 287 917 607 346 444 270
Dec 3,234 449 249 776 611 333 414 402
CY 2017 39,557 5,303 3,330 9,866 7,075 4,018 5,691 4,274

Jan 3,462 446 276 868 626 333 528 385
Feb 3,214 397 235 787 657 320 452 366
Mar 3,576 415 349 905 732 384 463 328
Apr 2,808 378 221 683 569 287 368 302
May 3,577 436 233 926 593 363 632 394
Jun 2,934 391 272 617 549 308 468 329
Jul 3,133 388 263 745 544 361 485 347
Aug 3,385 456 267 996 518 344 446 358
Sep 3,221 459 293 799 552 319 421 378
Oct 3,523 439 277 932 588 365 575 347
Nov 3,535 529 343 922 574 320 472 375
Dec 3,189 569 301 686 573 314 381 365
9-5
Table 9.2B
NUMBER OF REGISTERED LIVE BIRTHS BY ATTENDANT
AT BIRTH AND PROVINCE/CITY
2004-2017
Province/City 2004 2005 2006 2007 2008 2009 2010

Attendant at Birth
CAR … 32,195 30,053 30,485 33,367 35,551 32,104

Physician(MD) … 14,313 15,261 15,361 18,402 22,528 20,198
Nurse(PHN) … 870 714 763 736 833 594
Midwife … 7,923 7,805 8,278 8,700 7,857 6,994
Trained Hilot … 4,491 4,085 3,884 3,486 2,592 2,327
Untrained Hilot … 638 570 676 444 … …
Others/Unknown … 3,960 1,618 1,523 1,599 1,741 1,991
Abra … 4,236 4,038 4,197 4,815 4,862 5,033

Physician … 1,615 1,692 1,732 2,217 2,965 3,300
Nurse … 280 226 211 239 230 165
Midwife … 1,725 1,443 1,575 1,603 1,299 1,106
Trained Hilot … 589 565 601 708 299 384
Untrained Hilot … 18 1 51 46 … …
Others/Unknown … 9 111 27 2 69 78
Apayao … 2,225 1,959 2,434 2,525 2,195 2,277

Physician … 555 466 623 889 974 1,115
Nurse … 16 13 17 46 29 40
Midwife … 634 706 917 778 624 479
Trained Hilot … 947 702 755 720 468 514
Others/Unknown … 40 61 77 47 100 129
Baguio City - 8,622 6,044 6,328 8,168 10,114 6,851

Physician … 5,906 5,921 6,174 8,008 10,054 6,713
Nurse … 2 7 7 15 11 11
Midwife … 57 44 29 42 5 6
Trained Hilot … - - 1 2 - -
Untrained Hilot … - - - 8 … …
Others/Unknown … 2,657 72 117 93 44 121
Benguet … 6,490 7,189 6,652 6,566 6,334 6,817

Physician … 3,075 3,736 3,595 3,759 3,763 4,439
Nurse … 236 143 124 136 173 124
Midwife … 1,683 1,841 1,717 1,557 1,167 987
Trained Hilot … 650 566 470 339 402 338
Untrained Hilot … 238 293 136 116 … …
Others/Unknown … 608 610 610 659 829 929
Note: 2009 data for Baguio City include transients.

Source: FHSIS, Department of Health
9-6
Province/City 2011 2012 2013 2014 2015 2016 2017

Attendant at Birth
CAR 35,291 35,208 34,904 34,337 35,739 37,503 32,587

Physician 24,175 25,292 11,886 26,764 29,090 33,014 27,530
Nurse 517 752 687 856 989 792 684
Midwife 6,882 5,838 6,698 4,833 4,345 4,034 3,539
Trained Hilot 1,797 1,788 1,004 769 416 319 270
Untrained Hilot - - - - - - -
Others/Unknown 1,920 1,548 1,442 1,133 888 701 564
Abra 4,855 4,702 4,722 4,500 4,121 3,872 3,677

Physician 3,271 3,192 3,612 3,566 3,180 3,042 3,040
Nurse 144 207 114 126 11 114 95
Midwife 955 634 726 644 743 617 456
Trained Hilot 449 629 257 157 75 96 75
Others/Unknown 36 40 13 7 6 3 11
Apayao 2,010 2,438 2,348 2,354 2,615 3,021 2,877

Physician 1,137 1,566 1,677 1,684 2,015 2,494 2,423
Nurse 29 50 64 89 66 63 46
Midwife 380 369 387 399 348 327 284
Trained Hilot 285 307 127 60 65 44 44
Untrained Hilot - - - - - -
Others/Unknown 179 146 93 122 107 93 80
Baguio City 10,429 10,557 10,659 10,694 10,142 10,085 9,669

Physician 10,152 10,476 10,645 10,622 10,056 9,995 9,618
Nurse 10 3 8 1 3 2 -
Midwife 9 10 6 17 23 12 16
Trained Hilot 12 4 - 1 5 - -
Others/Unknown 246 64 - 53 55 76 35
Benguet 6,982 6,211 6,104 6,332 8,337 9,882 5,796

Physician 5,154 4,696 4,807 5,354 7,479 9,243 5,147
Nurse 61 108 74 75 180 77 91
Midwife 715 586 479 425 335 313 290
Trained Hilot 257 132 80 142 47 27 39
Others/Unknown 795 689 664 336 296 222 229
9-7
NUMBER OF REGISTERED LIVE BIRTHS BY ATTENDANT
AT BIRTH AND PROVINCE/CITY
2003-2016
Province/City 2004 2005 2006 2007 2008 2009 2010

Attendant at Birth
Ifugao … 3,767 4,142 3,747 3,608 4,191 4,107

Physician … 1,447 1,567 981 994 1,505 1,545
Nurse … 64 103 116 95 253 123
Midwife … 1,043 1,140 1,217 1,349 1,571 1,656
Trained Hilot … 788 932 906 798 610 483
Others/Unknown … 418 344 460 273 252 300
Kalinga … 3,856 3,717 4,078 4,621 4,349 3,592

Physician … 638 713 961 1,108 1,295 1,096
Nurse … 206 164 220 142 54 64
Midwife … 1,956 1,820 2,069 2,630 2,513 2,045
Trained Hilot … 828 755 581 469 353 281
Untrained Hilot … 126 127 110 90 … …
Others/Unknown … 102 138 137 182 134 106
Mt. Province … 2,999 2,964 3,049 3,064 3,506 3,427

Physician … 1,077 1,166 1,295 1,427 1,972 1,990
Nurse … 66 58 68 63 83 67
Midwife … 825 811 754 741 678 715
Trained Hilot … 689 565 570 450 460 327
Others/Unknown … 126 282 95 343 313 328
9-8
Province/City 2011 2012 2013 2014 2015 2016 2017

Attendant at Birth
Ifugao 3,734 3,596 3,669 3,330 3,127 3,372 3,236

Physician 1,263 1,343 1,588 1,270 1,344 1,634 1,810
Nurse 107 163 203 216 283 205 135
Midwife 1,809 1,561 1,287 1,413 1,196 1,292 1,115
Trained Hilot 278 283 215 147 112 78 44
Others/Unknown 277 246 376 284 192 163 132
Kalinga 4,368 4,852 4,511 4,224 4,432 5,390 4,069

Physician 1,567 2,352 893 2,363 2,893 4,072 2,874
Nurse 78 100 103 186 167 142 146
Midwife 2,339 2,108 3,297 1,456 1,264 1,094 983
Trained Hilot 260 183 146 125 41 42 32
Others/Unknown 124 109 72 94 67 40 34
Mt. Province 2,913 2,852 2,891 2,903 2,965 3,238 3,263

Physician 1,631 1,667 1,851 1,905 2,122 2,534 2,618
Nurse 88 111 121 163 171 189 171
Midwife 675 570 516 461 436 379 395
Trained Hilot 256 250 179 137 71 32 36
Untrained Hilot - - - - -
Others/Unknown 263 254 224 237 165 104 43
9-9
Table 9.3
PROJECTED TOTAL FERTILITY RATES BY FIVE CALENDAR-YEAR INTERVAL
2010 - 2045
Medium Assumption
(In percent)
REGION 2010-2015 2015-2020 2020-2025 2025-2030 2030-2035 2035-2040 2040-2045
PHILIPPINES
Low Series 2.92 2.56 2.24 19.97 1.72 1.51 1.32
Medium Series 3.00 2.77 2.56 2.37 2.18 2.02 1.86
High Series 3.04 2.87 2.71 2.56 2.42 2.29 2.16
Cordillera Administrative Region 2.88 2.64 2.42 2.22 2.02 1.89 1.75
Abra 2.84 2.61 2.41 2.21 2.02 1.94 1.84

Benguet 2.40 2.20 2.03 1.91 1.78 1.70 1.60
Ifugao 3.51 3.23 2.98 2.73 2.50 2.34 2.17
Kalinga 3.52 3.24 2.98 2.74 2.51 2.35 2.17
Apayao 3.53 3.24 2.99 2.74 2.51 2.35 2.17
Mt. Province 3.50 3.21 2.95 2.69 2.46 2.30 2.12
Note: Data are based on the 2010 Census of Population.

Figure 9.1: Number of Registered Marriages in CAR,

2004 - 2017
12000
10000
8000
Number
6000
4000
2000
0
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Year
9 - 10
Table 9.4A
NUMBER OF REGISTERED DEATHS BY PROVINCE AND MONTH
2014 - 2017
Year/ Baguio Mt.

Month City Province
CY 2014 8,579 1,598 543 2,336 1,730 761 806 805

Jan 835 164 46 241 163 72 80 69
Feb 738 146 53 154 150 63 80 92
Mar 746 128 49 204 162 78 57 68
Apr 691 148 44 163 149 51 63 73
May 652 138 36 174 136 59 64 45
Jun 684 126 48 189 145 51 64 61
Jul 735 132 40 187 152 84 67 73
Aug 663 123 43 196 123 51 62 65
Sep 754 142 41 227 161 68 71 44
Oct 712 124 50 200 145 62 66 65
Nov 683 120 35 200 113 51 79 85
Dec 686 107 58 201 131 71 53 65
CY 2015 8,542 1,495 555 2,415 1,696 677 845 859

Jan 882 162 76 212 197 84 70 81
Feb 682 123 42 195 128 61 59 74
Mar 723 128 50 195 128 57 85 80
Apr 656 113 48 177 133 57 67 61
May 614 93 39 177 99 54 75 77
Jun 707 122 48 209 143 47 73 65
Jul 716 128 41 207 131 72 72 65
Aug 688 119 47 211 146 37 73 55
Sep 788 148 32 218 166 44 86 94
Oct 792 134 50 231 163 75 67 72
Nov 636 110 45 202 125 37 61 56
Dec 658 115 37 181 137 52 57 79
CY 2016 8,905 1,552 657 2,488 1,653 772 922 861

Jan 809 127 58 244 155 69 83 73
Feb 716 132 58 184 135 55 80 72
Mar 703 104 64 185 152 62 69 67
Apr 680 127 47 179 123 68 65 71
May 750 134 47 198 138 85 70 78
Jun 689 124 59 184 130 60 70 62
Jul 708 118 52 214 138 53 71 62
Aug 791 152 61 212 143 84 77 62
Sep 776 133 53 220 129 47 96 98
Oct 759 145 48 222 128 57 83 76
Nov 780 136 48 231 145 67 86 67
Dec 744 120 62 215 137 65 72 73
CY 2017 8,823 1,509 643 2,566 1,561 784 926 834

Jan 855 145 67 246 143 73 111 70
Feb 739 121 70 184 131 72 89 72
Mar 766 137 61 236 134 56 71 71
Apr 634 113 47 164 100 69 60 81
May 774 125 63 252 126 66 73 69
Jun 678 106 45 202 137 54 79 55
Jul 667 102 42 217 120 55 78 53
Aug 829 128 53 259 142 81 92 74
Sep 751 138 57 222 118 66 70 80
Oct 693 123 39 200 131 62 73 65
Nov 779 140 55 206 144 70 77 87
Dec 658 131 44 178 135 60 53 57
9 - 11
Table 9.4B
NUMBERS AND RATES OF MATERNAL DEATHS, INFANT DEATHS, STILLBIRTHS
AND NEONATAL TETANUS DEATHS BY PROVINCE/CITY
2014 - 2017
(Rate per 1,000 live births)
Province/ 2014 2015 2016 2017

City No. Rate No. Rate No. Rate No. Rate
CAR
Maternal Deaths 18 0.5 15 0.4 17 0.4 14 0.4
Infant Deaths 296 8.2 390 11.0 329 8.5 282 8.7
Stillbirths
Neonatal Tetanus Deaths 0 0.0 1 0.2 0 0.0 0 0.0
Abra
Maternal Deaths 1 0.2 5 1.2 3 0.8 1 0.3
Infant Deaths 64 14.2 48 11.7 48 12.4 46 12.5
Stillbirths
Apayao
Maternal Deaths 4 0.2 3 1.1 2 0.7 3 1.0
Infant Deaths 29 12.0 52 19.9 29 9.6 36 12.5
Stillbirths
Baguio City
Maternal Deaths 4 0.4 3 0.3 5 0.5 4 0.4
Infant Deaths 94 8.8 99 9.8 82 8.1 85 8.8
Stillbirths
Benguet
Maternal Deaths 4 0.6 1 0.1 1 0.1 1 0.2
Infant Deaths 11 1.7 63 7.6 50 5.1 29 5.0
Stillbirths
Ifugao
Maternal Deaths 0 0.0 1 0.3 1 0.3 2 0.6
Infant Deaths 24 7.2 23 7.4 25 7.4 24 7.4
Stillbirths
Kalinga
Maternal Deaths 3 0.5 2 0.5 2 0.4 2 0.5
Infant Deaths 19 3.1 60 13.5 49 9.1 25 6.1
Stillbirths
Mt. Province
Maternal Deaths 2 0.7 0 0.0 3 0.9 1 0.3
Infant Deaths 55 19.3 45 15.2 46 14.2 37 11.3
Stillbirths
9 - 12
Table 9.5A
LEADING CAUSES OF MORTALITY, NUMBER AND RATE, CAR
2000-2004, 2011-2013
(Rate per 100,000 population)
Cause 2000 2001 2002 2003 2004

No. Rate No. Rate No. Rate No. Rate No. Rate
Pneumonia 768 69.01 393 27.39 863 58.85 896 65.27 896 58.58
Cardio-Vascular Diseases 922 82.85 1,104 76.93 1,379 94.04 1,562 113.79 1,562 102.13
Cancer 513 46.10 972 67.73 563 38.39 571 41.60 571 37.33
Diseases of the Heart 218 19.59 … … … … … … … ..
Accidents 306 27.50 61 4.25 248 16.91 264 19.23 264 17.26
Hypertension 72 6.47 … … … … … … … ..
T.B. (All Forms) … … 102 7.11 188 12.82 162 11.80 162 10.59
Peptic Ulcer 188 16.89 55 3.83 175 11.93 152 11.07 152 9.94
Senility 54 4.85 120 8.36 84 5.73 93 6.78 93 6.08
Wounds 100 8.99 43 3.00 ... ... ... ... ... ..
Diarrhea 44 3.95 45 3.14 ... ... ... ... ... ..
Kidney Diseases 110 9.88 63 4.39 61 4.16 93 6.78 93 6.08
Septicemia 30 2.70 23 1.60 … … … … … ..
Malaria 12 1.08 … … … … … … … ..
Malignant Neoplasms … … … … … … … … … ..
Prematurity 34 3.06 41 2.86 59 4.02 … … … ..
Homicide … … … … … … 158 11.51 158 * 10.33
Diabetes Mellitus … … … … … … 131 9.54 131 * 8.57

LEADING CAUSES OF MORTALITY, NUMBER AND RATE, CAR
2000-2004, 2011-2013
Cause 2011 2012 2013 2014 2015*

Pneumonia 1,075 64.60 473 28.00 969 57.53 950 54.80 629 35.69
Cardio-Vascular Diseases 1,932 116.20 1,362 80.70 480 28.45 818 47.19 803 45.56
Cancer 695 41.80 648 38.40 814 48.25 831 47.94 759 43.06
Diseases of the Heart … … … … … … 653.00 37.67 519.00 29.45
Accidents 123 7.40 225 13.30 336 19.91 244 14.08 150 8.51
Hypertension … … … … 385 22.82 160 9.23 381 21.62
T.B (All Forms) … … 57 3.00 … … 91.00 5.25 32.00 1.82
Peptic Ulcer 95 5.70 52 3.10 … … … … 35.00 1.99
Senility 193 11.60 79 4.70 167 9.90 177 10.21 89 5.05
Wounds … … 21 1.20 … … 58.00 3.35 4.00 0.23
Diarrhea … … … … … … 19.00 1.10 … …
Kidney Diseases 265 15.90 220 13.00 … … 53.00 3.06 318.00 18.04
Septicemia … … … … … … 140.00 8.08 1.00 0.06
Malaria … … … … … … … … … …
Malignant Neoplasm … … … … … … … … 55.00 3.12
Prematurity … … … … … … 24.00 1.38 … …
Homicide … … … … … … … … … …
Diabetes Mellitus 86 5.20 134 7.90 194 11.50 173 9.98 … …
* Excluding Abra
Notes:
1) Mortality rates from 1990-1992 and 1994-2000 were revised.
2) Population figures for 2001-2003 were taken from the 1995 Census-Based City/Municipal Population Projections.
Source: Department of Health - CAR
9 - 13
Table 9.5B
LEADING CAUSES OF MORTALITY, NUMBER AND RATE BY PROVINCE/CITY
2011 - 2015
Cause 2011 2012 2013 2014 2015
Abra
Pneumonia … … … … 410 168.8 288 117 … …
Cardio-Vascular Diseases … … … … 355 146.1 83 34 … …
Cancer … … … … 117 48.2 65 26 … …
Diseases of the Heart … … … … … … 45 18 … …
Accidents … … … … 22 9.1 11 4 … …
Hypertension … … … … 108 44.5 5 2 … …
T.B. (All Forms) … … … … … … 30 12 … …
Peptic Ulcer … … … … 24 9.9 … … … …
Liver Disorder, Cirrhosis … … … … … … 21 9 … …
Senility … … … … … … 74 30 … …
Wounds … … … … 44 18.1 47 19 … …
Bronchitis … … … … … … … … … …
Diptheria … … … … … … … … … …
Gastro-Enteritis … … … … … … … … … …
Influenza … … … … … … … … … …
Diarrhea … … … … … … 2 1 … …
Malnutrition … … … … … … … … … …
Kidney Diseases … … … … … … 14 6 … …
Tetanus … … … … … … … … … …
Septicemia … … … … … … … … … …
Malaria … … … … … … … … … …
Malignant Neoplasms … … … … … … … … … …
Measles … … … … … … … … … …
Apayao
Pneumonia … … … … 43 32.4 69 57.67 79 65.09
Cardio-Vascular Diseases … … … … 9 6.8 19 15.88 33 27.19
Cancer … … … … 27 20.4 60 50.14 31 25.54
Diseases of the Heart … … … … … … 14 11.70 3 2.47
Accidents … … … … 11 8.3 16 13.37 13 10.71
Hypertension … … … … … … 65 54.33 19 15.65
T.B. (All Forms) … … … … … … 11 9.19 15 12.36
Peptic Ulcer … … … … … … … … 15 12.36
Liver Disorder, Cirrhosis … … … … … … … … … …
Senility … … … … … … 2 1.67 4 3.30
Wounds … … … … 5 3.8 … … … …
Bronchitis … … … … … … 1 0.84 … …
Diptheria … … … … … … … … … …
Influenza … … … … … … … … … …
Diarrhea … … … … … … 2 1.67 … …
Malnutrition … … … … … … … … 1 0.22
Kidney Diseases … … … … … … 3 2.51 … …
Tetanus … … … … … … … … … …
Septicemia … … … … 3 2.3 … … … …
Malaria … … … … … … … … … …
Measles … … … … … … … … … …
9 - 14
2009-2013
Cause 2011 2012 2013 2014 2015

Baguio City
Pneumonia 236 71.2 186 54.9 191 144.0 212 60.45 186 51.84
Cardio-Vascular Diseases 233 70.2 426 125.8 460 346.9 419 119.48 493 137.41
Cancer 190 57.3 314 92.7 316 238.3 378 107.79 481 134.07
Diseases of the Heart 362 109.1 331 97.8 268 202.1 311 88.68 320 89.19
Accidents 35 10.6 143 42.2 120 90.5 133 37.93 121 33.73
T.B. (All Forms) … … 47 13.9 … … 29 8.27 30 8.36
Liver Disorder, Cirrhosis 29 8.7 48 14 53 40.0 43 12.26 37 10.31
Senility … … … … … … … … … …
Bronchitis … … … … … … … … … …
Diptheria … … … … … … … … … …
Diarrhea … … … … … … 10 2.85 … …
Malnutrition … … … … … … 1 0.28 3 0.84
Tetanus … … … … … … … … … …
Septicemia 31 9.4 … … … … … … … …
Malaria … … … … … … … … … …
Measles … … … … … … 1 0.28 … …
Benguet
Pneumonia … … … … 69 17.2 … … … …
Cardio-Vascular Diseases … … … … … … 88 20.06 167 37.32
Cancer … … … … 147 36.6 … … … …
Diseases of the Heart … … … … 51 12.7 81 18.46 … 0.0
Accidents … … … … 39 9.7 92 20.97 148 33.08
Hypertension … … … … … … 12 2.73 … 0.0
Diarrhea … … … … … … 90 20.51 346 77.33
T.B (All Forms) … … … … … … … … … …
Kidney Diseases … … … … … … … … … …
Peptic Ulcer … … … … … … … … 32 7.15
Senility … … … … … … … … … …
Bronchitis … … … … … … 17 3.87 … …
Diptheria … … … … … … - - … …
Influenza … … … … … … … … … …
Malignant Neoplasm … … … … … … … … … …
Malnutrition … … … … … … … … 55 12.29
Wounds … … … … 27 6.7 … … … …
Septicemia … … … … … … … … … …
Malaria … … … … … … … … … …
Measles … … … … … … … … … …
9 - 15
2009-2013
Cause 2011 2012 2013 2014 2015

Kalinga
Pneumonia 86 38.2 106 46.2 64 27.3 115 53.72 91 41.91
Cardio-Vascular Diseases 123 55 199 86.7 88 37.6 124 57.92 136 62.63
Cancer 87 38.7 79 34.4 57 24.3 75 35.30 88 40.53
Diseases of the Heart … … … … … … 2 0.93 … …
Accidents 33 14.7 56 24.4 24 10.2 25 11.68 14 6.45
Hypertension … … … … … … … … 16 7.37
Diarrhea … … … … … … 3 1.40 … …
T.B (All Forms) … … … … … … 7 3.27 11 5.07
Kidney Diseases … … … … 34 14.5 39 18.22 31 14.28
Peptic Ulcer … … … … 17 7.3 … … 17 7.83
Senility - 0.0 55 24.0 42 17.9 38 17.75 45 20.72
Bronchitis … … … … … … … … … …
Diptheria … … … … … … … … … …
Influenza … … … … … … … … … …
Malnutrition … … … … 6 2.6 6 2.80 … …
Wounds … … … … 13 5.6 11 5.14 … …
Septicemia … … … … … … … … 1 …
Malaria … … … … … … … … … …
Measles … … … … … … … … … …
Ifugao
Pneumonia … … 113 58.1 106 53.8 100 48.87 76 36.55
Cardio-Vascular Diseases … … … … … … 173 84.55 93 44.72
Cancer … … 65 33.4 62 31.5 69 33.72 54 25.97
Diseases of the Heart … … … … 55 27.9 … … … …
Accidents … … 26 13.4 … … 32 15.64 15 7.21
Hypertension … … 127 65.3 … … … … … …
Diarrhea … … … … … … 2 0.98 … …
T.B (All Forms) … … … … … … 8 3.19 … …
Kidney Diseases … … … … … … … … 36 17.31
Peptic Ulcer … … 33 17.0 … … … … 20 9.62
Senility … … … … … … 5 2.44 … …
Bronchitis … … … … … … … … … …
Diptheria … … … … … … … … … …
Influenza … … … … … … … … … …
Malnutrition … … … … … … … … … …
Wounds … … … … … … … … … …
Septicemia … … 16 8.2 29 14.7 … … … …
Malaria … … … … … … … … … …
Measles … … … … … … … … … …
9 - 16
2009-2013
Cause 2011 2012 2013 2014 2015

Mountain Province
Pneumonia 37 23.9 … … 86 54.8 78 48.76 121 74.98
Cardio-Vascular Diseases 140 90.4 … … … … … … … …
Cancer 45 29.1 … … 88 56.1 103 64.4 105 65.06
Diseases of the Heart … … … … 143 91.1 187 116.9 51 31.60
Accidents 22 14.2 … … 31 19.8 15 9.4 25 15.14
Hypertension … … … … … … … … 17 10.53
Diarrhea … … … … … … … … … …
T.B (All Forms) … … … … 3 1.9 6 3.75 … …
Kidney Diseases … … … … 29 18.5 … … 40 24.79
Peptic Ulcer … … … … … … … … … …
Senility 19 12.3 … … 65 41.4 41 25.63 62 38.42
Bronchitis … … … … … … … … … …
Diptheria … … … … … … … … … …
Influenza … … … … … … … … … …
Malnutrition … … … … 1 0.6 … … 3 1.86
Wounds 12 7.8 … … … … … … 4 2.48
Septicemia 13 8.4 … … … … … … … …
Malaria … … … … … … … … … …
Measles … … … … … … … … … …
9 - 17
Table 9.5C
LEADING CAUSES OF INFANT MORTALITY, NUMBER AND RATE, CAR
2001-2004, 2011-2013
(Rates per 1,000 live births)
Cause 2001 2002 2003 2004

No. Rate No. Rate No. Rate No. Rate
Pneumonia 81 2.66 37 ... 47 1.45 47 1.45

Prematurity 41 1.35 54 ... 65 2.01 65 2.01
Congenital Debility - - 6 ... ... ... ... ...
Respiratory Distress Syndrome 17 0.56 8 ... 16 0.49 16 0.49
Meningitis - - ... ... ... ... ... ...
Septicemia 25 0.82 ... ... 25 0.77 25 0.77
Sepsis Neonatorum 14 0.46 11 ... ... ... ... ...
Congenital Heart Disease 10 0.33 7 ... ... ... ... ...
Bronchitis - - ... ... ... ... ... ...
Asphyxia Neonatorum - - ... ... ... ... ... ...
Malnutrition - - 2 ... ... ... ...
Asphyxia 25 0.82 2 ... 8 0.25 8 0.25
Cardio-Respiratory Arrest - - ... ... ... ... ... ...
Diarrhea 6 0.2 ... ... ... ... ... ...
Heart Diseases 10 0.33 7 ... 9 0.28 9 0.28
Measles - - - - - - ... ...
Tetanus Neonatorum - - - - - - ... ...
Congenital Anomaly - - - - 7 0.22 7 0.22
Cause 2011 2012 2013

No. Rate No. Rate No. Rate
Pneumonia 59 1.67 16 45.34 19 54.44

Prematurity 61 1.73 17 48.17 35 100.28
Congential Debility 5 0.14 - - - -
Respiratory Distress Syndrome 17 0.48 - - 3 8.60
Meningitis - - - - - -
Septicemia - - 16 45.34 15 42.98
Sepsis Neonatorum 43 1.22 - - - -
Congential Heart Disease 14 0.40 4 11.33 15 42.98
Bronchitis - - - - - -
Asphyxia Neonatorum
Congential Heart Disease 5 0.14 - - - -
Bronchitis - - - - - -
Malnutrition - - - - 2 5.73
Asphyxia 11 0.31 - - 4 11.46
Cardio-Respiratory Arrest - - - - 1 2.87
Diarrhea - - - - - -
Heart Diseases - - - - - -
Measles - - - - - -
Tetanus Neonatorum - - - - - -
9 - 18
Table 9.5D
LEADING CAUSES OF MATERNAL MORTALITY, NUMBER AND RATE, CAR
2002-2004, 2011-2013
(Rates per 1,000 live births)
Cause 2002 2003 2004

Hemorrhage of Pregnancy
and Puerperium ... ... ... ... ... ...
Toxemias of Pregnancy ... ... ... ... ... ...
Abortion 1 0.03 ... ... ... ...
Other Complications of Pregnancy ... ... ... ... ... ...
Childbirth and Puerperium ... ... ... ... ... ...
Placental Retention 2 0.07 3 0.10 3 0.10
Puerperal Sepsis ... ... ... ... ... ...
Hypertension in Preganancy ... ... 1 0.03 1 0.03
Abruptio Placenta 2 0.07 ... ... ... ...
Ruptured Uterus ... ... ... ... ... ...
Uterine Atony 1 0.03 ... ... ... ...
Eclampsia 2 0.07 3 0.10 3 0.10
Postpartum Hemorrhage 2 0.07 9 0.29 9 0.29
Amniotic Fluid Embolism 1 0.03 1 0.03 1 0.03
Hydatidiform Mole 1 0.03 ... ... ... ...
Placenta Previa 1 0.03 ... ... ... ...
Ectopic Pregnancy ... ... 2 0.07 2 0.07
Unknown 1 0.03 3 0.10 3 0.10
Table 9.5D Continued
Cause 2011 2012 2013

Hemorrhage of Pregnancy
and Puerperium 4 0.11 2 5.67 3 8.60
Toxemias of Pregnancy - - - - - -
Abortion - - 1 2.83 - -
Other Complications of Pregnancy, - - - - - -
Childbirth and Puerperium - - - - - -
Placental Retention - - - - - -
Puerperal Sepsis - - 1 2.83 1 2.87
Hypertension in Preganancy - - - - - -
Abruptio Placenta - - - - - -
Ruptured Uterus - - 1 2.83 1 2.87
Uterine Atony 2 0.06 - - 2 5.73
9 - 19
Table 9.6A
LEADING CAUSES OF MORBIDITY, NUMBER AND RATE, CAR
2004-2006, 2011-2013
Causes 2004 2005 2006

Diarrhea 17,592 1,150.2 … …

Acute Watery Diarrhea … … 16,734 1,072.1 18,722 1,176.0
Acute Bloody Diarrhea … … 1,089 69.8 1,287 80.8
T.B. (All Forms) … … … … 2,648 166.3
Typhoid & Paratyphoid … … … … … …
Fever … … 1,438 92.1 1,924 120.9
Measles … … … …
Chicken Pox … … 1,706 109.3 1,322 83.0
Diseases of Heart … … … … … …
Dysentery (All Forms) … … … … … …
Infectious Hepatitis … … … … … …
Leprosy … … … … … …
Malaria … … 1,834 117.5 … …
Acute Respiratory Infection 61,152 3,998.4 … … … …
Bronchitis/Bronchiolitis 34,845 2,278.3 33,197 2,126.8 32,198 2,022.5
ALRI & Pneumonia 30,663 2,004.9 30,062 1,926.0 38,949 2,446.6
Influenza 22,188 1,450.7 21,309 1,365.2 20,060 1,260.1
Hypertension 15,451 1,010.2 17,097 1,095.4 18,526 1,163.7
Acute Tonsillopharyngitis 8,056 526.7 … … … …
Acute Febrille Illness … … 3,424 219.4 2,424 152.3
Parasitism 7,257 474.5 … … … …
Asthma 6,718 439.2 … … … …
Wounds 5,932 387.9 … … … …
Causes 2011 2012 2013

Diarrhea 17,525 1,053.9 18,940 1,122.6 13,956 827.2

T.B. (All Forms) … … … … … …
Typhoid & Paratyphoid
Fever … … 2,964 175.7 6,496 385.0
Measles … … 19 1.1 … …
Chicken Pox … … 359 21.3 … …
Diseases of Heart … … … … … …
Dysentery (All Forms) … … … … … …
Infectious Hepatitis … … … … … …
Leprosy … … … … … …
Malaria … … … … … …
9 - 20
Table 9.6B
LEADING CAUSES OF MORBIDITY, NUMBER AND RATE BY PROVINCE/CITY, CAR
2012 - 2013
(Rates per 100,000 population)
Province/City 2012 2013

Cause of Morbidity No. Rate No. Rate
Abra
Bronchitis 1,069 443.8 710 292.3
Diarrhea 2,546 1,056.9 1,405 578.4
Influenza … … 2,330 959.2
Pneunomia 1,862 772.9 2,627 1,081.5
Accidents - - - -
Diseases of the Heart - - - -
T.B. (All Forms) - - - -
Malignant Neoplasms - - - -
Infectious Hepatitis - - - -
Varicella - - - -
Dysentery (All Forms) - - - -
Leprosy - - - -
Malaria - - - -
Measles 9 3.7 - -
Typhoid & Paratyphoid Fever a/ 153 63.5 - -
Apayao
Bronchitis 90 69.4 6,350 4,788.8
Diarrhea 127 97.9 2,530 1,908.0
Influenza … … 1,580 1,191.6
Pneunomia 672 518.1 805 607.1
Accidents - - - -
Varicella - - - -
Leprosy - - - -
Malaria - - - -
Measles - - - -
Typhoid & Paratyphoid Fever a/ - - - -
Baguio City
Bronchitis 1,265 373.6 1,688 488.7
Diarrhea 3,350 989.4 2,517 728.7
Influenza 2,823 833.7 1,383 400.4
Pneunomia … … 4,292 1,242.6
Accidents - - - -
Varicella - - - -
Leprosy - - - -
Malaria - - - -
Measles - - - -
9 - 21
2012 - 2013

Benguet
Bronchitis 2,212 555.9 … …
Diarrhea 3,917 984.4 … …
Influenza 1,299 326.5 … …
Pneunomia 12,544 3,152.6 … …
Accidents - - -
Diseases of the Heart 353 88.7 … …
T.B. (All Forms) - - -
Malignant Neoplasms - - -
Infectious Hepatitis - - -
Varicella - - -
Dysentery (All Forms) - - -
Leprosy - - -
Malaria - - -
Measles - - -
Typhoid & Paratyphoid Fever a/ 647 162.6 … …
Kalinga
Bronchitis 3,797 1,654.0 1,132 536.0
Diarrhea 2,026 882.0 1,764 836.0
Influenza 1,614 703.0 1,447 686.0
Pneunomia 1,488 648.0 1,759 834.0
Accidents - - - -
Varicella - - - -
Leprosy - - - -
Malaria - - - -
Measles - - - -
Ifugao
Bronchitis 4,663 2,396.2 3,761 1,910.1
Diarrhea 4,210 2,163.4 … …
Influenza 322 165.5 2,380 1,208.7
Pneunomia 2,913 1,496.9 5,129 2,604.9
Accidents - - - -
Varicella - - - -
Leprosy - - - -
Malaria - - - -
Measles 10 5.1 … …
9 - 22
2012 - 2013

Mt. Province
Bronchitis 1,311 840.9 596 379.9
Diarrhea 2,260 1,449.6 6,661 4,245.4
Influenza 1,548 992.9 637 406.0
Pneunomia … … 2,009 1,280.4
Accidents - - - -
Varicella - - - -
Leprosy - - - -
Malaria - - - -
Measles - - - -
Notes: 1. Population figures for 1997-2002 are based from 1995 population projections except for
2000 that is based from actual counts.
a/ Includes other Salmonella infections
9 - 23
Table 9.7
NOTIFIABLE DISEASES/CAUSES OF MORBIDITY BY PROVINCE/CITY
2000-2004
2004
Province/ Notifiable Disease 2000 2001 2003
Male Female TOTAL
CAR
Tonsilitis/Tonsillopharyngitis … … … 3,101 3,491 6,592
Typhoid & Paratyphoid Fever a/ 1,719 1,238 1,429 722 589 1,311
STDs … … … - 1 1
Poisoning/Food Poisoning 7 43 27 29 56
Diarrhea (All Forms) 31,234 8,507 19,424 9,236 8,356 17,592
T.B. (All Forms) 1,128 1,113 490 554 428 982
Leprosy 52 1 7 4 1 5
Chicken Pox … … … 830 771 1,601
Whooping Cough 29 - 149 51 52 103
Tetanus 13 2 5 3 - 3
Hypertension … … … 6,868 8,583 15,451
Urinary Tract Infection … … … 1,493 3,624 5,117
Measles 431 106 643 170 172 342
Viral Hepatitis … … … 29 23 52
Acute Febrille Illness … … … 1,308 1,192 2,500
Rabies/Dog bite - 26 1 1,250 903 2,153
Malaria 5,180 4,220 4,053 1,374 1,067 2,441
Dental Problems … … … 705 870 1,575
Acute Hemorrhagic Fever (eg. Dengue) … … … 411 369 780
Iron Deficiency Anemia … … … 1,093 2,495 3,588
Asthma … … … 3,410 3,308 6,718
Goiter … … … 196 682 878
Diseases of the Heart 2,295 1,129 808 313 315 628
Bronchitis 23,817 23,931 36,008 17,087 17,758 34,845
Pneumonia 18,875 16,199 29,842 15,484 15,179 30,663
Influenza 11,221 14,980 23,682 10,483 11,705 22,188
Parasitism … … … 3,782 3,475 7,257
Gastritis … … … 1,570 1,863 3,433
Abra
Tonsilitis/Tonsillopharyngitis … … … 701 763 1,464
Typhoid & Paratyphoid Fever a/ 24 - 70 54 28 82
STDs … … … - - -
Poisoning/Food Poisoning - - 2 1 3
Diarrhea (All Forms) 6,069 - 2,947 1,592 1,524 3,116
T.B. (All Forms) 85 - 58 186 171 357
Leprosy 21 - 3 2 - 2
Chicken Pox … … … 55 56 111
Whooping Cough 5 - 148 51 52 103
Tetanus - - - - -
Hypertension … … … 1,526 1,933 3,459
Urinary Tract Infection … … … 227 385 612
Measles 106 - 26 34 46 80
Acute Febrille Illness … … … 637 573 1,210
Rabies/Dog bite - 25 - 34 28 62
Malaria 1,402 79 3 21 8 29
Dental Problems … … … 146 175 321
Acute Hemorrhagic Fever (eg. Dengue) … … … 1 - 1
Iron Deficiency Anemia … … … 384 602 986
Asthma … … … 1,108 1,097 2,205
Goiter … … … 41 74 115
Diseases of the Heart - 989 - 3 7 10
Bronchitis 3,189 6,446 2,831 1,754 1,782 3,536
Pneumonia 2,633 3,167 4,469 2,844 2,686 5,530
Influenza 4,114 5,286 4,134 2,311 2,464 4,775
Parasitism … … … 698 619 1,317
Gastritis … … … 535 512 1,047
Note: 1. Typhoid & Paratyphoid Fever iIncludes other Salmonella infections
2. 1996 - 2003 data of Kalinga include Apayao.
3. No data available for 2002.
4. STDs - Sexually Transmitted Diseases
Source: Department of Health
9 - 24
Table 9.7 Continued
2000-2004
2004
Male Female TOTAL
Baguio City
Tonsilitis/Tonsillopharyngitis … … … - - -
Typhoid & Paratyphoid Fever a/ 188 … 10 101 112 213
STDs … … … - 1 1
Poisoning/Food Poisoning 88 … … 9 11 20
Diarrhea (All Forms) 2,259 … 752 412 458 870
T.B. (All Forms) 141 … 79 42 33 75
Leprosy - … … - - -
Chicken Pox … … … 7 4 11
Whooping Cough - … … - - -
Tetanus - … … 3 - 3
Hypertension … … … - - -
Urinary Tract Infection … … 7 19 56 75
Measles - … 26 12 7 19
Viral Hepatitis … 1 - 1
Acute Febrille Illness … … … 43 17 60
Rabies/Dog bite … … … 570 431 1,001
Malaria … … … - - -
Dental Problems … … … - - -
Asthma … … … 61 79 140
Goiter … … … 2 3 5
Diseases of the Heart 431 … 8 303 284 587
Bronchitis 2,088 … 2,627 1,422 1,304 2,726
Pneumonia 2,433 … 1,537 993 775 1,768
Influenza - … … .. .. ..
Parasitism … … … 4 1 5
Gastritis … … … - - -
Benguet
Tonsilitis/Tonsillopharyngitis … … … 1,176 1,299 2,475
Typhoid & Paratyphoid Fever a/ - 170 132 65 53 118
STDs … … ... - - -
Poisoning/Food Poisoning - 2 6 2 2 4
T.B. (All Forms) - 176 ... 41 27 68
Leprosy - - 1 1 - 1
Chicken Pox … … ... 151 147 298
Whooping Cough - - 1 - - -
Tetanus - - ... - - -
Hypertension … … ... 2,575 3,075 5,650
Urinary Tract Infection ... ... ... 619 1,769 2,388
Measles - - 122 33 39 72
Rabies/Dog bite - - ... 98 76 174
Malaria - - 5 1 1 2
Dental Problems … … ... 258 323 581
Acute Hemorrhagic Fever (eg. Dengue) … … ... 70 74 144
Asthma … … … 719 638 1,357
Goiter … … … 107 446 553
Diseases of the Heart - 190 32 1 5 6
Bronchitis 8,332 10,387 10,626 5,337 5,446 10,783
Pneumonia 5,230 5,426 9,963 2,429 2,357 4,786
Influenza 3,191 4,185 8,875 3,386 3,869 7,255
Parasitism … … ... 566 521 1,087
Gastritis … … ... 362 521 883
9 - 25
Table 9.7 Continued
2004
Male Female TOTAL
Kalinga
Tonsilitis/Tonsillopharyngitis … … ... 535 607 1,142
Typhoid & Paratyphoid Fever a/ - 36 ... 18 7 25
STDs … … ... - - -
Poisoning/Food Poisoning - - ... 5 10 15
Diarrhea (All Forms) 6,135 4,283 ... 1,359 1,258 2,617
T.B. (All Forms) 877 778 ... 125 93 218
Leprosy - - ... - - -
Chicken Pox … … ... 104 76 180
Whooping Cough 666 - ... - - -
Tetanus - - ... - - -
Hypertension ... ... ... 448 637 1,085
Urinary Tract Infection ... ... ... 253 609 862
Measles - - ... 32 25 57
Viral Hepatitis ... ... ... 5 6 11
Acute Febrille Illness ... ... ... 17 11 28
Rabies/Dog bite - - ... 144 70 214
Malaria 4,509 3,902 ... 335 220 555
Iron Deficiency Anemia … … ... 250 890 1,140
Asthma … … ... 759 720 1,479
Goiter - 10 ... 28 108 136
Diseases of the Heart - 109 ... - - -
Bronchitis 4,987 7,460 ... 2,542 2,820 5,362
Pneumonia 2,978 3,245 ... 2,356 2,204 4,560
Influenza 252 5,014 ... 938 1,045 1,983
Parasitism … … ... 771 677 1,448
Gastritis … … ... 281 286 567
Ifugao
Tonsilitis/Tonsillopharyngitis … … ... 229 263 492
STDs … … ... - - -
Poisoning/Food Poisoning - 7 33 1 3 4
T.B. (All Forms) 187 239 22 32 17 49
Leprosy - 1 3 - - -
Chicken Pox … … … 119 133 252
Whooping Cough - - ... - - -
Tetanus - - 5 - - -
Hypertension … … … 946 1,057 2,003
Urinary Tract Infection … … … 40 139 179
Measles - - ... 13 16 29
Rabies/Dog bite - 1 ... 155 78 233
Malaria - 83 171 183 170 353
Iron Deficiency Anemia … … ... 104 249 353
Asthma … … ... 293 274 567
Goiter … … ... 13 28 41
Diseases of the Heart 430 3 ... - - -
Bronchitis 5,494 4,997 5,302 1,673 1,712 3,385
Pneumonia 4,940 2,829 7,505 3,280 3,632 6,912
Influenza 2,226 1,194 1,471 818 952 1,770
Parasitism … … ... 739 715 1,454
Gastritis … … ... 16 25 41
9 - 26
Table 9.7 Continued
2000-2004
2004
Male Female TOTAL
Mountain Province
STDs … … ... - - -
Poisoning/Food Poisoning - - ... 6 - 6
Diarrhea (All Forms) 3,866 - 2,403 1,488 1,269 2,757
T.B. (All Forms) - 48 ... 47 31 78
Leprosy - - - - - -
Chicken Pox … … ... 253 210 463
Tetanus - 1 ... - - -
Hypertension … … ... 1,100 1,522 2,622
Urinary Tract Infection … … ... 170 378 548
Measles - 53 139 14 9 23
Viral Hepatitis … … … - 1 1
Rabies/Dog bite - - 1 75 70 145
Malaria - 78 192 86 58 144
Iron Deficiency Anemia … … ... 87 186 273
Asthma … … ... 85 65 150
Goiter … … ... - - -
Diseases of the Heart - 14 20 6 19 25
Bronchitis 3,313 2,514 3,042 1,447 1,406 2,853
Pneumonia 2,907 3,479 2,650 2,575 2,482 5,057
Influenza 1,805 1,743 2,200 1,074 1,292 2,366
Parasitism … … ... 581 545 1,126
Gastritis … … ... 164 259 423
Apayao
STDs … … ... - - -
Poisoning/Food Poisoning - - ... 2 2 4
Diarrhea (All Forms) 3,866 - 2,403 745 604 1,349
T.B. (All Forms) - 48 ... 81 56 137
Leprosy - - ... 1 1 2
Chicken Pox … … ... 141 145 286
Tetanus - 1 ... - - -
Hypertension … … ... 273 359 632
Urinary Tract Infection … … ... 165 288 453
Measles - 53 139 32 30 62
Acute Febrille Illness … … … - 2 2
Rabies/Dog bite - - 1 179 145 324
Malaria - 78 192 748 610 1,358
Asthma … … … 385 435 820
Goiter … … ... 6 22 28
Diseases of the Heart - 14 20 - - -
Bronchitis 3,313 2,514 3,042 2,912 3,288 6,200
Pneumonia 2,907 3,479 2,650 1,007 1,043 2,050
Influenza 1,805 1,743 2,200 1,956 2,083 4,039
Parasitism … … ... 423 397 820
Gastritis … … ... 212 260 472
9 - 27
Table 9.8
PROJECTED LIFE EXPECTANCY AT BIRTH BY SEX, BY FIVE-YEAR INTERVAL AND PROVINCE
2010 - 2045
2010
Province/Sex 2010-2015 2015-2020 2020-2025 2025-2030 2030-2035 2035-2040 2040-2045
(baseline)
CAR
Male 66.25 67.18 68.95 70.60 72.14 73.58 74.95 76.23
Female 71.99 72.94 74.69 76.27 77.71 79.06 80.30 81.47
Abra
Male 65.63 66.58 68.36 70.00 71.50 72.90 74.19 75.39
Female 71.42 72.40 74.19 75.78 77.21 78.48 79.64 80.69
Apayao
Male 64.44 65.43 67.28 68.98 70.53 71.97 73.29 74.51
Female 70.26 71.31 73.21 74.86 76.31 77.60 78.75 79.77
Benguet
Male 66.77 67.72 69.52 71.16 72.69 74.09 75.38 76.56
Female 72.66 73.65 75.45 77.02 78.42 79.66 80.76 81.74
Ifugao
Male 65.29 66.25 68.05 69.70 71.22 72.63 73.92 75.13
Female 71.13 72.13 73.94 75.53 76.95 78.23 79.37 80.40
Kalinga
Male 64.64 65.62 67.47 69.15 70.71 72.13 73.43 74.64
Female 70.45 71.49 73.38 75.02 76.47 77.75 78.90 79.92
Mt. Province
Male 65.89 66.82 68.57 70.18 71.67 73.04 74.31 75.50
Female 71.70 72.64 74.36 75.91 77.30 78.56 79.71 80.75
Note: Benguet includes Baguio City

Source: Philippine Statistics Authority, 2010 Census-based Population Projection in collaboration with the
Inter-Agency Working Group on Population Projections
9 - 28
Table 9.9
NUMBER AND BED CAPACITY OF GOVERNMENT AND PRIVATE HOSPITALS
BY PROVINCE/CITY
2010 - 2015
Area/Year Number of Authorized Beds

Government Private Total
CAR
2010 1,678 713 2,391
2011 1,678 777 2,455
2012 1,678 742 2,420
2013 1,678 742 2,420
2014 1,723 717 2,440
2015 1,190 664 1,854
Abra
2010 155 62 217
2011 155 77 232
2012 155 62 217
2013 155 62 217
2014 210 62 272
2015 155 41 196
Apayao
2010 160 - 160
2011 160 - 160
2012 160 - 160
2013 160 - 160
2014 225 - 225
2015 125 - 125
Baguio City
2010 450 476 926
2011 450 518 968
2012 450 518 968
2013 450 518 968
2014 450 493 943
2015 400 481 881
Benguet
2010 228 93 321
2011 228 93 321
2012 228 93 321
2013 228 93 321
2014 228 93 321
2015 160 65 225
Kalinga
2010 225 67 292
2011 225 67 292
2012 225 47 272
2013 225 47 272
2014 225 47 272
2015 100 60 160
9 - 29
Table 9.9 Continued
NUMBER AND BED CAPACITY OF GOVERNMENT AND PRIVATE HOSPITALS
BY PROVINCE/CITY
2010- 2015
Area/Year Number of Authorized Beds

Government Private Total
Ifugao
2010 200 5 205
2011 200 5 205
2012 200 5 205
2013 200 5 205
2014 125 5 130
2015 50 - 50
Mt. Province
2010 260 10 270
2011 260 17 277
2012 260 17 277
2013 260 17 277
2014 260 17 277
2015 200 17 217
9 - 30
Table 9.10
NUMBER OF BARANGAY HEALTH STATIONS (BHS) BY PROVINCE/CITY
2005-2017
Year/ No. of
Baguio Mt.
Barangays CAR Abra Apayao Benguet Ifugao Kalinga
City Province
and BHS
2005
No. of Brgys 1,184 303 134 128 140 182 153 144
No.of BHS 549 84 51 0 143 93 90 88
2006
No. of Brgys 1,186 303 134 128 140 185 152 144
No.of BHS 564 79 57 0 145 93 98 92
2007
No. of Brgys 1,176 303 133 129 140 175 152 144
No.of BHS 580 88 59 0 144 101 98 90
2008
No. of Brgys 1,176 303 133 129 140 175 152 144
No.of BHS 599 90 58 0 154 111 96 90
2009
No. of Brgys 1,176 303 133 129 140 175 152 144
No.of BHS 612 94 64 0 151 106 103 94
2011
No. of Brgys 1,177 303 134 129 140 175 152 144
No.of BHS 651 92 66 0 152 130 107 104
2012
No. of Brgys 1,176 303 133 129 140 175 152 144
No.of BHS 688 97 64 0 167 152 106 102
2013
No. of Brgys 1,177 303 134 129 140 175 152 144
No.of BHS 706 97 64 0 167 152 106 104
2014
No. of Brgys 1,187 304 136 128 140 183 152 144
No.of BHS 647 95 67 0 159 130 92 104
2015
No. of Brgys 1,187 303 135 128 140 185 152 144
No.of BHS 639 99 71 0 134 130 98 107
2016
No. of Brgys 1,183 303 136 128 140 180 152 144
No.of BHS 690 96 77 0 154 152 104 107
2017
No. of Brgys 1,157 303 115 140 175 152 144 128
No.of BHS 674 97 62 137 157 107 114 0
Note: Baguio City has 16 main health centers and 15 satellite health centers. (2014)
9 - 31
Table 9.11
NUMBER OF HEALTH WORKERS IN LOCAL GOVERNMENT UNITS (LGUs)
BY PROVINCE
2008 - 2017
Province 2008 2009 2010 2011 2012
CAR 8,595 7,223 7,550 7,737 8,075

Doctors 89 86 95 82 88
Dentists 40 36 53 82 88
Nurses 131 145 147 133 144
Midwives 637 631 623 605 643
Nutritionists 4 3 9 7 4
Engrs/Sanitary Inspectors 182 110 105 100 104
Med Techs 52 49 62 58 52
Active BHWs 6,106 6,163 6,456 6,670 6,952
Dental Aides 31 … - - -
Trained Birth Attendants 1,198 … - - -
Non-Technical 125 … - - -
Abra 2,359 1,929 2,189 2,115 2,267

Doctors 15 17 23 10 16
Dentists 4 5 8 10 19
Nurses 32 33 40 27 39
Midwives 107 97 93 95 106
Nutritionists - - 2 1 1
Med Techs 5 3 7 6 5
Active BHWs 1,777 1,744 1,989 1,938 2,054
Dental Aides 4 … … … …
Trained Birth Attendants 302 … … … …
Non-Technical 10 … … … …
Apayao 799 629 627 658 656

Doctors 7 6 8 7 8
Dentists 3 3 4 7 7
Nurses 9 10 10 10 13
Midwives 58 60 57 56 64
Nutritionists - - 1 - 1
Med Techs 7 7 8 7 7
Active BHWs 516 528 529 561 544
Baguio City 254 185 214 217 219

Doctors 18 18 18 18 18
Nurses 18 23 20 24 25
Midwives 21 20 19 23 23
Med Techs 11 12 11 11 11
Active BHWs 97 93 125 110 110
Trained Birth Attendants - … … … …
Note: BHWs - Barangay Health Workers
9 - 32
Province 2013 2014 2015 2016 2017
CAR 7,952 8,276 8,387 8,367 8,070

Doctors 88 88 101 102 98
Dentists 87 28 32 32 29
Nurses 190 227 280 331 323
Midwives 667 692 672 716 640
Med Techs 49 48 69 68 61
Active BHWs 6,770 7,079 7,125 7,007 6,801
Dental Aides - -
Trained Birth Attendants - -
Non-Technical - -
Abra 2,189 2,255 2,622 2,628 2,531

Doctors 16 24 23 24 25
Dentists 19 - - - -
Nurses 45 164 213 215
Midwives 106 108 137 136 131
Nutritionists - - - - -
Med Techs 5 5 7 10 10
Active BHWs 1,975 2,085 2,265 2,221 2,122
Dental Aides … …
Trained Birth Attendants … …
Non-Technical … …
Apayao 637 746 653 733 482

Doctors 7 8 7 8 8
Dentists 7 3 3 3 3
Nurses 13 14 14 12 13
Midwives 57 66 11 56 44
Med Techs 7 7 7 6 6
Active BHWs 535 636 600 637 399
Baguio City 213 199 206 205 230

Doctors 18 17 23 23 18
Dentists 12 5 5 4 4
Nurses 25 23 22 22 19
Midwives 23 23 23 23 29
Med Techs 10 10 10 10 8
Active BHWs 110 110 110 110 128
Note: BHWs - Barangay Health Workers
9 - 33
NUMBER OF HEALTH WORKERS IN LOCAL GOVERNMENT UNITS (LGUs)
BY PROVINCE
2008 - 2017
Province 2008 2009 2010 2011 2012
Benguet 1,483 1,429 1,428 1,414 1,553

Doctors 17 14 14 14 14
Dentists 11 9 9 14 13
Nurses 23 23 23 22 24
Midwives 140 141 141 145 138
Med Techs 9 8 9 9 9
Active BHWs 1,149 1,218 1,218 1,196 1,341
Ifugao 1,070 816 852 924 991

Doctors 10 11 11 11 10
Nurses 12 12 14 12 13
Midwives 112 109 115 84 109
Nutritionists - - 2 2 -
Med Techs 7 6 6 8 7
Active BHWs 737 665 687 786 827
Kalinga 1,075 1,083 1,035 1,177 1,258

Doctors 12 11 11 12 12
Nurses 18 22 20 20 13
Midwives 100 103 94 95 99
Med Techs 6 6 13 8 7
Active BHWs 832 920 870 1,016 1,101
Mt. Province 1,555 1,152 1,205 1,232 1,136

Doctors 10 9 10 10 10
Dentists 7 5 10 10 10
Nurses 19 22 20 18 17
Midwives 99 101 104 107 104
Med Techs 7 7 8 9 6
Active BHWs 998 995 1,038 1,063 975
9 - 34
Province 2013 2014 2015 2016 2017
Benguet 1,337 1,389 1,314 1,369 1,325

Doctors 15 15 15 15 15
Dentists 13 6 6 8 5
Nurses 24 25 26 37 27
Midwives 150 137 129 148 146
Med Techs 9 9 12 12 12
Active BHWs 1,112 1,183 1,112 1,135 1,102
Ifugao 970 987 980 976 983

Doctors 11 9 11 10 10
Dentists 14 3 5 5 7
Nurses 47 10 12 12 11
Midwives 128 118 142 142 94
Nutritionists - 5 7 7 -
Med Techs 6 5 17 13 10
Active BHWs 755 827 776 776 842
Kalinga 1,362 1,385 1,313 1,209 1,293

Doctors 12 11 12 12 12
Dentists 12 6 8 7 5
Nurses 19 20 25 18 20
Midwives 98 135 78 111 100
Med Techs 8 8 10 11 9
Active BHWs 1,199 1,190 1,166 1,032 1,130
Mt. Province 1,209 1,203 1,244 1,247 1,226

Doctors 10 10 10 10 10
Dentists 10 5 5 5 5
Nurses 17 17 17 17 18
Midwives 105 105 103 100 96
Med Techs 4 4 6 6 6
Active BHWs 1,048 1,048 1,090 1,096 1,078
9 - 35
Table 9.12
NUMBER OF NEWBORNS WITH WEIGHT AT BIRTH OF 2.5 KG. OR MORE
BY PROVINCE/CITY
2008-2017
Baguio
Year CAR Abra Apayao Benguet Ifugao Kalinga Mt. Prov.
City
2008
Total livebirths 33,377 4,816 2,529 6,567 3,608 4,621 3,068 8,168
Weight ≥ 2.5kg 29,919 3,895 2,145 6,199 3,266 4,524 2,828 7,062
Percentage 89.6 80.9 84.8 94.4 90.5 97.9 92.2 86.5
2009
Weight ≥ 2.5kg 32,152 3,950 2,090 5,682 3,966 4,257 3,261 8,946
Percentage 90.4 81.2 95.2 89.7 94.6 97.9 93.0 88.5
2011
Weight ≥ 2.5kg 31,638 4,010 1,915 6,278 3,549 4,297 2,711 8,878
Percentage 89.7 82.6 95.3 89.9 95.1 98.4 93.1 85.1
2012
Weight ≥ 2.5kg 31,783 3,894 2,211 5,709 3,470 4,737 2,601 9,161
Percentage 90.3 82.8 90.7 91.9 96.5 97.6 91.2 86.8
2013
Weight ≥ 2.5kg 31,443 3,963 2,245 5,616 3,554 4,175 2,615 9,275
Percentage 90.1 83.9 95.6 92.0 96.9 92.6 90.5 87.0
2014
Weight ≥ 2.5kg 31,607 3,885 2,272 6,081 3,261 3,995 2,709 9,404
Percentage 91.9 86.1 94.1 96.3 98.0 96.0 91.6 87.8
2015
Weight ≥ 2.5kg 33,131 3,866 2,548 7,928 3,014 4,140 2,709 8,926
Percentage 92.7 93.8 97.4 95.1 96.4 93.4 91.4 88.0
2016
Weight ≥ 2.5kg 35,398 2,802 2,796 9,577 3,296 5,096 2,986 8,845
Percentage 91.1 93.8 97.4 95.1 96.4 93.4 91.4 88.0
2017
Weight ≥ 2.5kg 29,400 3,142 2,634 5,430 3,103 3,729 3,000 8,362
Percentage 90.2 93.8 97.4 95.1 96.4 93.4 91.4 88.0
Note: No data for 2010.

Source: FHSIS, Department of Health - CAR
9 - 36
Table 9.13
INFANT MORTALITY RATE (LESS THAN 1 YEAR OLD) BY PROVINCE/CITY
1995 - 2017
(Per 1,000 livebirths)
Year CAR Abra Apayao Benguet Ifugao Kalinga Mt. Prov. Baguio City
1995 14.9 24.5 11.5 10.3 12.2 11.5 13.9 18.4

1996 13.6 16.4 31.3 8.8 12.9 12.2 19.5 9.9
1999 13.8 10.9 18.7 9.9 17.4 17.3 21.4 10.9
2000 12.3 9.3 13.6 6.9 18.1 14.6 18.2 11.2
2001 11.1 10.8 10.5 7.0 14.4 9.7 16.2 12.4
2002 10.2 9.5 13.9 8.5 10.9 10.5 14.3 9.4
2003 10.2 7.9 13.9 5.3 12.9 11.2 8.9 10.2
2004 10.7 12.9 11.6 5.5 12.7 10.1 13.6 12.0
2005 9.2 8.5 9.4 7.1 8.8 9.6 15.7 8.9
2006 10.1 4.7 11.7 6.7 9.2 8.9 15.9 15.9
2007 11.1 6.7 10.3 6.6 10.1 14.0 12.5 17.1
2008 7.8 6.4 13.8 4.4 11.1 7.4 18.3 4.5
2009 11.1 11.6 8.7 9.8 14.6 6.2 14.0 11.8
2011 10.7 10.7 9.5 6.5 11.3 7.8 16.5 13.1
2012 10.3 13.2 10.3 8.1 10.3 8.9 14.4 10.0
2013 9.8 11.2 12.4 12.6 11.2 5.3 12.8 7.5
2014 8.2 14.2 12.0 1.7 7.2 3.1 19.3 1.7
2015 10.9 11.6 19.9 7.6 7.4 13.5 15.2 9.8
2016 8.5 12.4 9.6 5.1 7.4 9.1 14.2 8.1
2017 8.7 12.5 12.5 5.0 7.4 6.1 11.3 8.8
Notes:
(1) 1995 data, the same for the provinces of Kalinga and Apayao.
(2) No data for 1997, 1998 and 2010
Figure 9.2: Maternal and Infant Death Rates, CAR: 2007 - 2017
12
Maternal Deaths
Infant Deaths
10
8
Rate (Per 1,000)
0
2007 2008 2009 2011 2012Year2013 2014 2015 2016 2017
9 - 41
Table 9.14
NUMBER AND PERCENTAGE OF HOUSEHOLDS WITH ACCESS TO SAFE WATER
BY PROVINCE/CITY
2009 - 2017
Baguio
City
2009
No. of HHs 299,656 46,990 22,194 67,781 36,069 35,741 30,003 60,878
No. with access 223,351 46,001 18,003 16,563 28,234 34,159 29,744 50,647
Percentage 74.5 97.9 81.1 24.4 78.3 95.6 99.1 83.2
2010
No. of HHs 302,470 47,537 22,406 74,067 37,538 37,387 30,617 52,918
No. with access 265,865 46,433 17,305 52,270 32,076 35,145 29,718 52,918
Percentage 87.9 97.7 77.2 70.6 85.4 94.0 97.1 100.0
2011
No. of HHs 318,087 47,977 22,406 74,638 38,013 39,763 31,481 63,809
No. with access 240,146 46,662 17,305 20,247 33,926 36,037 27,599 58,370
Percentage 75.5 97.3 77.2 27.1 89.3 90.6 87.7 91.5
2012
No. of HHs 326,428 48,778 22,179 77,430 38,101 38,286 32,063 69,591
No. with access 122,566 12,931 - 33,680 3,104 4,311 - 68,540
Percentage 45.0 26.5 - 43.5 8.2 11.3 - 98.5
2013
No. of HHs 326,428 48,778 22,179 77,430 38,101 38,286 32,063 69,591
No. with access 257,050 28,302 11,903 43,524 33,756 38,459 46,618 54,488
Percentage 78.8 58.0 53.7 56.2 88.6 100.5 145.4 78.3
2014
No. of HHs 339,123 50,194 24,230 84,936 39,310 40,433 33,253 66,767
No. with access 144,064 - - 60,473 - 21,482 - 62,109
Percentage 42.5 - - 71.2 - 53.1 - 93.0
2015
No. of HHs 338,817 51,357 25,421 86,597 40,660 41,540 33,447 59,795
No. with access 150,825 19,323 - 60,454 - 4,373 10,559 56,116
Percentage 44.5 37.6 - 69.8 - 10.5 31.6 93.8
2016
No. of HHs 345,257 51,028 25,455 88,870 41,490 43,265 33,973 61,176
No. with access 222,507 21,564 - 50,799 17,923 42,341 33,952 55,928
Percentage 64.4 42.3 - 57.2 43.2 97.9 99.9 91.4
2017
No. of HHs 361,859 52,485 26,626 89,396 42,312 44,599 34,518 71,923
No. with access 222,507 21,564 22,499 50,799 17,923 42,341 33,952 55,928
Percentage 64.4 42.3 84.5 57.2 43.2 97.9 99.9 91.4
Note: Water from the provinces Apayao not chemically tested

9 - 38
Table 9.15
NUMBER AND PERCENTAGE OF HOUSEHOLDS WITH ACCESS TO
SANITARY TOILET BY PROVINCE/CITY
2008 - 2017
Baguio
City
2008
No. of HHs 296,681 46,016 20,148 71,856 33,817 34,741 30,243 59,860
No. with access 228,607 37,116 16,531 51,253 22,436 19,235 22,949 59,087
Percentage 77.1 80.7 82.0 71.3 66.3 55.4 75.9 98.7
2009
No. of HHs 299,656 46,990 22,194 67,781 36,069 35,741 30,003 60,878
No. with access 225,958 38,411 17,195 50,233 22,014 23,040 24,308 50,757
Percentage 75.4 81.7 77.5 74.1 61.0 64.5 81.0 83.4
2010
No. of HHs 302,470 47,537 22,406 74,067 37,538 37,387 30,617 52,918
No. with access 237,040 39,306 14,707 57,371 24,550 25,130 25,458 50,518
Percentage 78.4 82.7 65.6 77.5 65.4 67.2 83.1 95.5
2011
No. of HHs 318,087 47,977 22,406 74,638 38,013 39,763 31,481 63,809
No. with access 247,717 39,597 16,243 58,008 26,862 24,013 26,173 56,821
Percentage 77.9 82.5 72.5 77.7 70.7 60.4 83.1 89.1
2012
No. of HHs 326,428 48,778 22,179 77,430 38,101 38,286 32,063 69,591
No. with access 265,071 40,551 16,603 60,736 27,487 24,200 26,608 68,886
Percentage 81.2 83.1 74.9 78.4 72.1 63.2 83.0 99.0
2013
No. of HHs 326,428 48,778 22,179 77,430 38,101 38,286 32,063 69,591
No. with access 268,082 38,910 16,882 64,873 28,568 25,461 27,227 66,161
Percentage 82.1 79.8 76.1 83.8 75.0 66.5 84.9 95.1
2014
No. of HHs 339,123 50,194 24,230 84,936 39,310 40,433 33,253 66,767
No. with access 269,697 39,399 12,182 68,923 29,611 27,431 28,211 63,940
Percentage 79.5 78.5 50.3 81.2 75.3 67.8 84.8 95.8
2015
No. of HHs 338,817 51,357 25,421 86,597 40,660 41,540 33,447 59,795
No. with access 284,438 43,064 18,448 75,585 31,794 28,138 28,823 58,586
Percentage 84.0 83.9 72.6 87.3 78.2 67.7 86.2 98.0
2016
No. of HHs 345,257 51,028 25,455 88,870 41,490 43,265 33,973 61,176
No. with access 284,148 45,133 19,068 77,294 33,718 24,036 25,628 59,271
Percentage 82.3 88.4 74.9 87.0 81.3 55.6 75.4 96.9
2017
No. of HHs 361,859 52,485 26,626 89,396 42,312 44,599 34,518 71,923
No. with access 310,344 46,784 20,457 82,090 35,741 29,398 30,672 65,202
Percentage 85.8 89.1 76.8 91.8 84.5 65.9 88.9 90.7
Note: Percentage data for 1992 to 2003 are proportion of population with access to sanitary toilet.
9 - 39
Table 9.16
PERCENTAGE OF FULLY IMMUNIZED CHILDREN, INFANTS GIVEN BCG AND
MEASLES VACCINES BY PROVINCE/CITY
2007 - 2017
Baguio
City
2007
FIC 76.8 76.1 78.9 67.3 78.9 79.6 65.5 90.9
BCG 84.0 77.1 80.3 91.2 77.5 78.2 65.2 98.3
Measles 80.1 76.8 78.9 80.0 77.7 80.2 66.4 91.1
2008
FIC 81.2 86.2 88.5 73.4 78.7 79.0 66.3 95.9
BCG 88.1 86.7 85.2 87.0 75.8 78.7 63.9 119.6
Measles 81.9 86.7 89.3 74.5 78.6 80.0 66.3 96.9
2009
FIC 76.5 77.8 79.3 66.2 79.4 79.8 63.1 91.0
BCG 75.3 76.8 79.8 37.4 77.7 78.7 62.8 125.2
Measles 77.8 79.0 80.0 69.1 79.5 80.6 65.1 91.4
2011
FIC 64.9 76.5 56.4 69.3 73.4 73.1 65.5 43.8
BCG 64.7 36.3 54.5 36.2 75.4 70.3 65.4 112.8
Measles 66.1 77.3 60.6 70.4 74.8 74.0 66.8 44.5
2012
FIC 71.6 69.7 65.6 70.9 72.2 70.5 69.2 77.5
BCG 68.7 71.9 62.1 30.9 74.5 66.2 69.3 111.5
Measles 72.9 70.8 66.5 72.9 75.2 71.1 70.5 77.9
2013
FIC 73.6 68.3 68.2 73.4 68.8 68.9 68.7 87.6
BCG 70.3 75.6 71.1 29.5 74.3 67.5 67.3 115.4
Measles 74.6 68.6 69.0 74.6 70.7 64.2 62.5 95.7
2015
FIC 72.5 62.1 70.7 64.1 70.7 99.5 64.4 90.4
BCG 70.1 48.9 61.1 57.4 55.3 94.3 56.0 104.1
Measles 73.0 61.9 71.1 67.3 67.3 82.1 63.8 90.5
2016
FIC 67.4 51.7 71.1 62.9 55.5 78.9 59.0 86.3
BCG 65.2 37.1 75.9 45.8 54.9 86.5 56.7 101.7
Measles 68.6 51.2 70.7 64.1 61.8 77.7 62.2 86.6
2016
FIC 67.4 51.7 71.1 62.9 55.5 78.9 59.0 86.3
BCG 65.2 37.1 75.9 45.8 54.9 86.5 56.7 101.7
Measles 68.6 51.2 70.7 64.1 61.8 77.7 62.2 86.6
2017
FIC 61.1 50.0 51.3 58.7 55.4 59.9 50.3 85.2
BCG 61.0 52.6 70.2 44.0 48.7 76.5 51.2 88.1
Measles 52.7 45.7 53.0 54.4 53.6 55.0 48.9 55.1
Note: FIC - Fully Immunized Children (9 - 11 months)

9 - 40
Table 9.17
NUMBER AND PERCENTAGE OF PREGNANT WOMEN IMMUNIZED WITH
TETANUS TOXOID (TT2) BY PROVINCE/CITY
2007 - 2017
Baguio
City
2007
Number 19,995 3,047 2,169 4,409 3,092 2,875 2,111 2,292
Percentage 37.6 37.7 59.8 33.8 48.9 45.1 40.6 21.7
2008
Number 19,868 2,852 2,182 4,242 2,606 3,043 1,903 3,040
Percentage 34.9 34.3 53.0 30.4 38.5 41.4 32.5 28.8
2009
Number 21,269 3,787 2,007 5,106 2,899 3,009 1,889 2,572
Percentage 36.6 45.0 47.6 35.9 42.0 40.0 31.6 23.8
2011
Number 24,534 3,499 1,767 7,041 2,948 3,380 1,864 4,035
Percentage 42.2 41.9 39.8 51.1 43.8 42.9 34.4 34.8
2012
Number 22,861 3,590 1,940 5,653 3,367 3,344 1,925 3,042
Percentage 38.7 42.6 42.7 40.6 49.4 41.6 35.3 25.7
2013
Number 5,785 825 442 1,573 764 868 509 804
Percentage 9.7 9.7 9.5 11.2 11.1 10.6 9.3 6.7
2014
Number 24,353 3,703 1,641 6,094 4,837 3,808 1,717 2,553
Percentage 52.0 55.8 50.8 51.5 87.6 65.9 39.8 27.0
2015
Number 21,688 3,142 1,879 6,017 2,594 3,842 1,632 2,582
Percentage 45.6 46.8 57.3 49.8 46.2 65.5 37.5 26.7
2016
Number 20,083 2,783 1,597 5,099 2,679 3,381 1,729 2,815
Percentage 41.5 41.0 48.0 41.4 46.9 56.9 39.3 28.4
2017
Number 16,636 2,434 1,383 4,356 2,232 2,548 1,455 2,228
Percentage 33.4 35.2 39.1 34.7 37.0 40.4 30.1 22.9
Note: No data for 2010.

9 - 41
Table 9.18
NUMBER AND PERCENTAGE OF PREGNANT WOMEN WITH 3 OR MORE
PRE-NATAL VISITS BY PROVINCE/CITY
2007 - 2017
Baguio
City
2007
Number 26,152 4,088 2,041 7,920 4,028 3,691 1,902 2,482
Percentage 49.1 50.6 56.3 60.7 63.7 57.8 36.6 23.5
2008
Number 26,085 3,908 2,126 7,943 4,415 3,876 1,904 1,913
Percentage 45.8 47.0 51.7 57.0 65.2 52.7 32.6 18.1
2009
Number 23,485 2,946 2,090 6,903 4,051 3,760 1,967 1,768
Percentage 40.4 35.0 49.5 48.5 58.6 49.9 32.9 16.4
2011
Number 28,174 4,198 1,688 8,645 3,831 3,806 1,649 4,357
Percentage 48.4 50.3 38.0 62.7 57.0 48.3 30.4 37.5
2012
Number 24,010 5,877 1,747 6,928 2,785 3,306 1,566 1,801
Percentage 40.7 69.7 38.5 49.8 40.9 41.1 28.7 15.2
2013
Number 5,928 850 375 1,722 871 843 395 872
Percentage 9.9 10.0 8.1 12.2 12.6 10.3 7.2 7.2
2014
Number 29,077 5,608 1,774 8,520 5,791 4,025 1,631 1,728
Percentage 62.1 84.5 54.9 71.9 104.8 69.6 37.8 18.3
2015
Number 32,659 5,721 1,859 13,637 3,319 4,566 1,724 1,833
Percentage 68.6 85.3 56.7 112.9 59.1 77.9 39.6 18.9
2016
Number 28,300 4,608 1,754 10,244 3,324 4,921 1,774 1,675
Percentage 58.5 68.0 52.8 83.1 58.2 82.7 40.4 16.9
2017
Number 25,108 4,533 1,729 7,211 3,313 4,591 1,836 1,895
Percentage 50.3 65.6 48.8 57.5 54.9 72.8 38.0 19.5
Notes: 1) Starting 2007, data for the whole region are for 4 or more prenatal visits.
2) No data for 2010.
9 - 42
Table 9.19
PREVALENCE OF UNDERWEIGHT CHILDREN UNDER 5 YEARS OF AGE
BY PROVINCE/CITY
1990, 2005-2010
Year Abra Apayao Benguet Ifugao Kalinga Mt. Prov. Baguio City CAR
1990 … … … … … … … 16.1
2005 17.1 19.3 6.4 7.7 13.7 11.1 8.9 12.0
2006 16.4 17.8 4.3 7.4 11.3 9.5 5.3 9.0
2007 15.7 16.3 3.7 6.6 9.4 7.7 4.2 8.1
2008 16.3 13.8 3.7 5.9 9.6 7.3 3.9 7.8
2009 16.6 13.5 3.5 5.0 8.4 6.1 3.3 7.4
2010 … … 2.6 4.0 7.9 … 2.0 …
Source: OPT (Operation Timbang) Reports of the different provinces collated by the National Nutrition Council
Table 9.20
PREVALENCE OF UNDERWEIGHT CHILDREN 0 - 5 YEARS OF AGE
BY PROVINCE/CITY
1990, 1998, 2003, 2005 & 2008
1990 … … … … … … … 16.1
1998 34.8 34.3 11.6 27.7 46.9 18.8 18.7 26.7
2003 … … … … … … … 16.3
2005 … … … … … … … 17.5
2008 40.1 23.7 8.2 20.4 27.9 12.9 0.0 19.9
Source: National Nutrition Survey, Food and Nutrition Research Institute
9-43
Table 9.21
MALARIA PREVALENCE RATE
BY PROVINCE/CITY
1998 - 2014
1998 63.0 70.9 82.3 64.7 52.6 31.6 56.2 62.7

1999 60.9 79.2 90.0 67.0 55.3 38.6 60.0 90.6
2000 65.2 84.7 96.0 64.5 58.2 44.7 62.1 90.6
2001 66.1 85.3 87.1 64.5 57.0 43.0 61.9 87.4
2002 71.5 80.1 98.0 69.1 57.8 49.6 68.6 90.6
2003 80.4 86.0 98.8 74.0 59.8 51.8 68.5 76.0
2004 78.3 80.2 98.3 72.8 61.0 51.2 70.5 75.2
2005 78.3 81.1 88.0 76.2 64.3 53.2 71.8 74.7
2006 76.3 82.3 98.3 77.4 64.0 52.2 77.3 77.2
2007 78.1 79.7 98.6 77.5 64.2 57.3 77.0 78.1
2008 80.7 82.0 99.0 71.3 66.3 55.4 75.9 77.1
2009 81.7 77.5 83.0 74.1 61.0 64.5 81.0 75.4
2010 82.7 65.6 95.5 77.5 65.4 67.2 83.1 78.4
2011 82.5 72.5 89.1 77.7 70.7 60.4 83.1 77.9
2012 83.1 74.9 99.0 78.4 72.1 63.2 83.0 81.2
2013 96.1 76.4 100.0 96.8 87.1 65.2 100.0 94.0
2014 78.5 50.3 95.8 81.2 75.3 67.8 84.8 79.5
Table 9.22
PROPORTION OF TUBERCULOSIS CASES DETECTED AND CURED UNDER
DIRECTLY OBSERVED TREATMENT SHORT COURSE (DOTS)
BY PROVINCE/CITY
2001 - 2014
2001 81.0 33.0 70.0 74.0 32.0 82.0 54.8

2002 91.0 30.0 79.0 75.0 49.0 53.0 81.0 65.0
2003 82.0 65.0 79.0 74.0 68.0 71.0 39.0 68.3
2004 93.0 70.0 79.0 60.0 83.0 55.0 80.0 79.0
2005 87.0 80.0 90.0 89.0 82.0 67.0 79.0 84.0
2006 86.0 77.0 85.0 88.0 85.0 80.0 86.0 85.0
2007 89.0 59.0 80.0 70.0 85.0 89.0 86.0 83.0
2008 91.0 45.0 71.0 79.0 87.0 85.0 82.0 79.0
2009 91.0 95.0 81.0 87.0 82.0 92.0 94.0 92.0
2010 83.0 95.0 98.0 86.0 88.0 91.0 93.0 94.0
2011 91.0 94.0 94.0 82.0 92.0 94.0 91.0 86.0
2012 90.0 90.0 96.0 86.0 91.0 88.0 88.0 94.0
2013 93.0 94.0 92.0 90.0 94.0 95.0 93.0 95.0
2014 92.0 91.0 97.0 89.0 90.0 93.0 93.0 94.0
9-44
Table 9.23
NEW USERS OF FAMILY PLANNING BY METHOD BY PROVINCE/CITY
2017
Mt. Baguio
Method CAR Abra Apayao Benguet Ifugao Kalinga
Province City
Condom
Number 920 186 40 228 31 230 63 142
Percent 4.72 0.95 0.21 1.17 0.16 1.18 0.32 0.73
Injectable
Number 2,894 411 146 704 26 579 165 863
Percent 14.84 2.11 0.75 3.61 0.13 2.97 0.85 4.43
IUD
Number 864 14 11 245 0 142 12 440
Percent 4.43 0.07 0.06 1.26 0.00 0.73 0.06 2.26
LAM
Number 9,702 1,998 614 2,606 853 2,608 730 293
Percent 49.77 10.25 3.15 13.37 4.38 13.38 3.74 1.50
NFP
Number 151 27 0 22 6 62 21 13
Percent 0.77 0.14 0.00 0.11 0.03 0.32 0.11 0.07
Pills
Number 3,662 928 207 726 46 940 242 573
Percent 18.78 4.76 1.06 3.72 0.24 4.82 1.24 2.94
Implants
Number 77 30 0 21 0 7 6 13
Percent 0.39 0.15 0.00 0.11 0.00 0.04 0.03 0.07
Male Sterilization
Number 6 4 2 0 0 0 0 0
Percent 0.03 0.02 0.01 0.00 0.00 0.00 0.00 0.00
Female Sterilization
Number 1,219 258 7 14 5 382 101 452
Percent 6.25 1.32 0.04 0.07 0.03 1.96 0.52 2.32
TOTAL 19,495 3,856 1,027 4,566 967 4,950 1,340 2,789
9 - 45
Table 9.24
CONTINUING USERS OF FAMILY PLANNING BY METHOD BY PROVINCE/CITY
2017
Mt.
Method CAR Abra Apayao Baguio Benguet Ifugao Kalinga
Province
Condom
Number 4,971 397 158 2,185 525 520 498 688
Percent 4.12 0.33 0.13 1.81 0.44 0.43 0.41 0.57
Injectable
Number 21,642 2,624 2,263 4,657 3,114 3,127 1,661 4,196
Percent 17.93 2.17 1.88 3.86 2.58 2.59 1.38 3.48
IUD
Number 8,904 124 426 2,280 1,024 1,617 572 2,861
Percent 7.38 0.10 0.35 1.89 0.85 1.34 0.47 2.37
LAM
Number 10,035 2,443 1,091 2,061 1,523 1,749 885 283
Percent 8.32 2.02 0.90 1.71 1.26 1.45 0.73 0.23
NFP
Number 7,807 307 12 788 1,597 4,273 722 108
Percent 6.47 0.25 0.01 0.65 1.32 3.54 0.60 0.09
Pills
Number 36,896 7,930 5,771 7,064 5,065 5,524 2,655 2,887
Percent 30.57 6.57 4.78 5.85 4.20 4.58 2.20 2.39
Implants
Number 1,726 48 69 329 577 210 133 360
Percent 1.43 0.04 0.06 0.27 0.48 0.17 0.11 0.30
Male Sterilization
Number 217 29 9 28 119 4 7 21
Percent 0.18 0.02 0.01 0.02 0.10 0.00 0.01 0.02
Female Sterilization
Number 28,480 5,750 1,925 6,539 3,268 3,410 4,209 3,379
Percent 23.60 4.76 1.60 5.42 2.71 2.83 3.49 2.80
TOTAL 120,678 19,652 11,724 25,931 16,812 20,434 11,342 14,783
9 - 46
Chapter 10
EDUCATION
Data on the country’s educational system are essential in the planning, implementation,
and supervision of programs in this field. The primary goal of the programs is to develop
a meaningful and efficient educational system in the country. This is a priority thrust of
the government today. A specific objective of programs and systems put in place is to
update the quality of our educational system at all levels. Education is indispensable in
bringing about the desired behavioral and attitudinal changes in the population to effect
socioeconomic development. The far-reaching and enduring effects of a literate citizenry
on individual and societal growth and progress call for serious efforts to continuously
improve and promote the accessibility of our educational system to changes in the
socioeconomic sphere and the demands of development initiatives pose a challenge to
our decision-makers and educators. To address these challenges in the most efficient
and effective manner, an adequate and timely supply of data focusing on the levels and
state of resources and facilities and the accomplishments of our educational system is
indeed vital.
This chapter presents data on important aspects of the educational system at the
regional down to the division level. The statistics presented include enrolment and
number of schools and teachers by level and government or private and tertiary
graduates by program. The chapter contains performance indicators, such as
participation, retention, survival, completion, drop-out, and transition rates. This chapter
also shows data on literacy rate and highest grade completed of the population and the
school-going age population. The basic sources of data are the Department of
Educationn (DepEd), the Commission on Higher Education (CHED), and the Philippine
Statistics Authority - National Statistics Office. The DepEd and CHED compiles,
tabulates, analyzes, and releases data pertaining to the educational system by level and
the derived performance indicators based on the administrative reporting systems of
these agencies. The PSA, on the other hand, generates data on literacy, school-going
age population and educational attainment of households using the results of its census
of population and the Functional Literacy, Education and Mass Media Survey
(FLEMMS). Table 10.6 entitled Performance Indicators in Government Elementary and
Secondary Schools contains an indicator of the Millennium Development Goals (MDG),
which is the elementary cohort survival rate. Look for the MDG icon: .
HIGHLIGHTS
• Public high school enrolment in CAR increased by 14.9 percent from 93,731 in
school year 2015-2016 to 107,681 in school year 2016-2017.
• More than half or 56.73 percent of the region’s college enrolment was recorded in
Baguio City for SY 2016-2017.
• Public higher education institutions (HEIs) decreased 3.09 in enrolment during
school year 2016-2017. Likewise, private HEIs decreased by of 12.82 percent
during the same period.
10 - 1
Table 10.1 Number of Government and Private Schools by Level of Education and 10-3
by Province/City, SY 2005-2006 to SY 2013-2014
Table 10.2 Enrolment in Government and Private Schools by Level of Education and 10-6
Province/City, SY 2010-2011 to SY 2016-2017
Table 10.3 Enrolment in Higher Education Institutions (HEIs), by Province and School, 10-8
SY 2013-2014 to SY 2017-2018
Table 10.4 Enrolment in Higher Education Institution (HEIs) by Discipline Group, 10-10
SY 2008-2009 to SY 2015-2016
Table 10.5A Tertiary Graduates by Major Program, SY 2003-2004 to SY 2015-2016 10-11
Table 10.5B Private Tertiary Graduates by Program Level and Gender, SY 2002-2003 10-13
to SY 2007-2008
Table 10.5C Public Tertiary Graduates by Program Level and Gender, SY 2002-2003 10-13
to SY 2007-2008
Table 10.6 Performance Indicators in Government Elementary and Secondary Schools 10-14
by Province/City, SY 2001-2002 to SY 2016-2017
Table 10.7A Basic Literacy Rate of Population 10 Years and Over by Sex 10-20
and Age Group, CAR, 2013
Table 10.7B Functional Literacy Rate of Population 10 Years and Over by Sex 10-20
and Age Group, CAR,2013
Table 10.7C Literacy of Household Population 10 Years and Over by Sex, Age 10-21
Group, and Province, Census Year 2015
Table 10.8 School-Going Age Population by Age Group and Province/City 10-24
Census Years 1995, 2000, 2010 and 2015
Table 10.9 Private Household Population 7 Years Old and Over by Highest Grade 10-25
Completed by Province, Census Years 1990, 1995 and 2000
Table 10.10 Number of Tertiary Teachers by Province, SY 1987-1988 to SY 2006-2007 10-28
Table 10.11 Enrolment in Technical Vocational Institutions by Province and Gender, 10-30
2008-2017
Table 10.12 Graduates in Technical Vocational Institutions by Province and Gender, 10-31
2008-2017
Table 10.13A Asssessed and Certified Tech-Voc Students by Province, 2012-2017 10-32
Table 10.13B Asssessed and Certified Tech-Voc Students by Sector, CAR, 2012-2017 10-32
Figure 10.1 Enrolment in Public and Private Secondary Schools in CAR, SY 2005-2006 10-34
to SY 2016-2017
Figure 10.2 Enrolment in Public and Private Elementary Schools in CAR, SY 2005-2006 10-34
to SY 2016-2017
10-2
Table 10.1
NUMBER OF GOVERNMENT AND PRIVATE SCHOOLS BY LEVEL OF EDUCATION AND
BY PROVINCE/CITY
SY 2005-2006 to SY 2013-2014
Province/City SY 2005-2006 SY 2006-2007 SY 2007-2008
Level of Education Total Public Private Total Public Private Total Public Private
CAR
Pre-School 1/ … … … 311 192 119 253 253 -
Elementary 2/ 1,551 1,444 107 1,633 1,456 177 1,652 1,467 185
Secondary 3/ 318 227 91 312 205 107 351 232 119
Tech/Voc HS 4/ 24 24 - 24 24 -
Tertiary … … … 48 18 30 48 18 30
Abra
Pre-School … … … 50 46 4 51 51 …
Elementary 276 272 4 291 275 16 293 274 19
Secondary 53 32 21 51 30 21 53 32 21
Tech/Voc HS 2 2 - 2 2 -
Tertiary … … … 5 2 3 5 2 3
Apayao
Pre-School … … … 15 15 - 24 24 …
Elementary 155 155 - 154 153 1 156 155 1
Secondary 25 20 5 18 13 5 22 17 5
Tech/Voc HS 8 8 - 8 8 -
Tertiary … … … 2 2 - 2 2 -
Baguio City
Pre-School … … … 96 32 64 29 29 …
Elementary 106 39 67 134 39 95 136 40 96
Secondary 45 19 26 59 19 40 66 19 47
Tech/Voc HS - - - - - -
Tertiary … … … 19 2 17 19 2 17
Benguet
Pre-School … … … 56 24 32 34 34 …
Elementary 367 345 22 388 349 39 393 354 39
Secondary 61 47 14 59 43 16 72 51 21
Tech/Voc HS 4 4 - 4 4 -
Tertiary … … … 9 3 6 9 3 6
Ifugao
Pre-School … … … 22 18 4 38 38 …
Elementary 221 220 1 223 219 4 225 220 5
Secondary 34 28 6 34 28 6 34 28 6
Tech/Voc HS - - - - - -
Tertiary … … … 4 4 - 4 4 -
Kalinga
Pre-School … … … 39 24 15 33 33 …
Elementary 234 224 10 251 232 19 252 230 22
Secondary 46 35 11 42 31 11 48 37 11
Tech/Voc HS 4 4 - 4 4 -
Tertiary … … … 6 2 4 6 2 4
Mt. Province
Pre-School … … … 33 33 - 44 44 …
Elementary 192 189 3 192 189 3 197 194 3
Secondary 54 46 8 49 41 8 56 48 8
Tech/Voc HS 6 6 - 6 6 -
Tertiary … … … 3 3 - 3 3 -
Sources:
1) Department of Education - CAR
2) Commission on Higher Education
10 - 3
BY PROVINCE/CITY
SY 2005-2006 to SY 2013-2014
CAR
Pre-School 1/ 497 335 162 505 505 - 815 622 193
Elementary 2/ 1,619 1,482 137 1,655 1,497 158 1,661 1,509 152
Secondary 3/ 366 243 123 382 256 126 392 269 123
Tech/Voc HS 4/ 24 24 - … … … 37 37 -
Tertiary 48 17 31 48 17 31 53 18 35
Abra
Pre-School 69 54 15 … … … 81 67 14
Elementary 282 275 7 … … … 450 439 11
Secondary 53 32 21 … … … 54 33 21
Tech/Voc HS 2 2 - … … … 2 2 -
Tertiary 6 2 4 6 2 4 6 2 4
Apayao
Pre-School 48 46 2 … … … 35 31 4
Elementary 159 159 - … … … 161 161 -
Secondary 27 22 5 … … … 31 26 5
Tech/Voc HS 8 8 - … … … 9 9 -
Tertiary 2 2 - 2 2 - 2 2 -
Baguio City
Pre-School 122 35 87 … … … 133 41 92
Elementary 124 42 82 … … … 128 46 82
Secondary 73 20 53 … … … 74 21 53
Tech/Voc HS - - - … … … - - -
Tertiary 19 2 17 19 2 17 21 2 19
Benguet
Pre-School 73 39 34 … … … 215 167 48
Elementary 390 356 34 … … … 408 369 39
Secondary 71 51 20 … … … 73 53 20
Tech/Voc HS 4 4 - … … … 5 5 -
Tertiary 8 3 5 8 3 5 9 3 6
Ifugao
Pre-School 46 40 6 … … … 131 122 9
Elementary 221 219 2 … … … 231 228 3
Secondary 34 28 6 … … … 38 32 6
Tech/Voc HS - - - … … … 5 5 -
Tertiary 4 4 - 4 4 - 4 4 -
Kalinga
Pre-School 84 71 13 … … … 130 111 19
Elementary 246 237 9 … … … 256 244 12
Secondary 53 42 11 … … … 56 45 11
Tech/Voc HS 4 4 - … … … 9 9 -
Tertiary 6 2 4 6 2 4 8 3 5
Mt. Province
Pre-School 55 50 5 … … … 114 107 7
Elementary 197 194 3 … … … 207 202 5
Secondary 55 48 7 … … … 65 58 7
Tech/Voc HS 6 6 - … … … 7 7 -
Tertiary 3 2 1 3 2 1 3 2 1
Notes:
1/ - Kindergarten ( Preschool) - No. of Governtment Elementary Schools that offers Kindergarten
2/ - Elementary - Total No. of Government Elementary Schools (including elementary schools that offers kindergarten)
10 - 4
BY PROVINCE/CITY
SY 2005-2006 to SY 2013-2014
CAR
Pre-School 1/ 866 646 220 220 - 220 1,592 1,424 168
Elementary 2/ 1,845 1,685 160 1,698 1,538 160 1,688 1,570 118
Secondary 3/ 371 242 129 411 282 129 431 331 100
Tech/Voc HS 4/ 37 37 - - - - 15 15 -
Tertiary 53 18 35 53 18 35 55 19 36
Abra
Pre-School 79 67 12 12 .. 12 267 250 17
Elementary 443 434 9 286 277 9 286 277 9
Secondary 52 31 21 54 33 21 55 33 22
Tech/Voc HS 2 2 - - .. - 2 2 -
Tertiary 6 2 4 6 2 4 6 2 4
Apayao
Pre-School 32 31 1 1 .. 1 147 141 6
Elementary 164 164 - 164 164 - 169 168 1
Secondary 23 18 5 37 32 5 39 34 5
Tech/Voc HS 13 13 - - .. - 2 2 -
Tertiary 2 2 - 2 2 - 2 2 -
Baguio City
Pre-School 159 41 118 118 .. 118 138 93 45
Elementary 137 46 91 136 45 91 135 90 45
Secondary 78 21 57 78 21 57 82 61 21
Tech/Voc HS - - - - .. - - .. -
Tertiary 21 2 19 21 2 19 21 2 19
Benguet
Pre-School 223 167 56 56 .. 56 389 325 64
Elementary 413 373 40 402 362 40 406 365 41
Secondary 71 50 21 77 56 21 84 58 26
Tech/Voc HS 5 5 - - .. - 2 2 -
Tertiary 9 3 6 9 3 6 11 4 7
Ifugao
Pre-School 132 122 10 10 .. 10 212 200 12
Elementary 226 223 3 248 245 3 229 225 4
Secondary 40 33 7 41 34 7 42 35 7
Tech/Voc HS 1 1 - - .. - - - -
Tertiary 4 4 - 4 4 - 4 4 -
Kalinga
Pre-School 128 111 17 17 .. 17 243 231 12
Elementary 254 243 11 256 245 11 256 245 11
Secondary 47 36 11 57 46 11 59 47 12
Tech/Voc HS 9 9 - - .. - 5 5 -
Tertiary 8 3 5 8 3 5 8 3 5
Mt. Province
Pre-School 113 107 6 6 .. 6 196 184 12
Elementary 208 202 6 206 200 6 207 200 7
Secondary 60 53 7 67 60 7 70 63 7
Tech/Voc HS 7 7 - - .. - 4 4 -
Tertiary 3 2 1 3 2 1 3 2 1
Notes:
3/ - Secondary - Total No. of Government Secondary Schools (including officially recognized Tech-Voc Schools)
4/ - Tech-Voc - No. of Government Secondary Schools that Implemented STVEP Curriculum (officially recognized as Tech-Voc School)
10 - 5
Table 10.2
ENROLMENT IN GOVERNMENT AND PRIVATE SCHOOLS BY LEVEL OF EDUCATION AND
AND PROVINCE/CITY
SY 2010-2011 TO SY 2016-2017
Province/City SY 2010-2011 SY 2011-2012 SY 2012-2013 SY 2013

CAR
Pre-School 23,716 19,794 3,922 38,851 31,245 7,606 39,734 31,395 8,339
Elementary 240,396 217,286 23,110 240,148 216,495 23,653 241,595 215,480 26,115
Secondary 120,419 86,817 33,602 119,957 85,952 34,005 122,304 88,433 33,871
Tertiary 104,855 30,366 74,489 103,577 31,091 72,486 102,060 31,942 70,118
Abra
Pre-School 2,402 1,879 523 5,242 4,691 551 5,226 4,643 583
Elementary 33,956 31,915 2,041 33,972 31,926 2,046 33,663 31,696 1,967
Secondary 16,777 11,087 5,690 16,578 11,054 5,524 17,014 11,329 5,685
Tertiary 6,047 2,640 3,407 6,535 3,143 3,392 6,818 3,536 3,282
Apayao
Pre-School 1,030 995 35 2,674 2,639 35 2,840 2,785 55
Elementary 19,036 19,036 - 18,749 18,749 - 18,338 18,300 38
Secondary 8,209 6,712 1,497 8,386 6,947 1,439 8,592 7,154 1,438
Tertiary 1,494 1,494 - 1,451 1,451 - … … -
Baguio City
Pre-School 3,634 2,835 799 8,401 4,392 4,009 9,072 4,506 4,566
Elementary 46,554 32,816 13,738 47,600 33,610 13,990 50,154 33,849 16,305
Secondary 28,468 19,050 9,418 29,033 19,226 9,807 30,259 20,238 10,021
Tertiary 69,656 3,307 66,349 66,313 3,306 63,007 64,948 3,310 61,638
Benguet
Pre-School 6,474 4,706 1,768 9,332 7,383 1,949 8,915 6,934 1,981
Elementary 53,355 48,290 5,065 53,074 47,781 5,293 52,780 47,323 5,457
Secondary 25,251 18,063 7,188 24,915 17,768 7,147 25,670 18,368 7,302
Tertiary 11,456 7,718 3,738 12,218 7,802 4,416 13,224 8,551 4,673
Ifugao
Pre-School 3,330 3,220 110 4,586 4,291 295 4,816 4,646 170
Elementary 28,176 28,012 164 28,220 28,060 160 28,336 28,293 43
Secondary 12,703 9,136 3,567 12,733 8,927 3,806 12,500 9,095 3,405
Tertiary 4,917 4,917 - 5,492 5,492 - 6,622 6,622 -
Kalinga
Pre-School 4,240 3,683 557 4,945 4,515 430 5,106 4,448 658
Elementary 35,554 34,044 1,510 35,231 33,753 1,478 35,312 33,700 1,612
Secondary 16,891 12,566 4,325 16,444 12,013 4,431 16,836 12,161 4,675
Tertiary 6,330 5,367 963 6,576 4,964 1,612 5,548 5,120 428
Mountain Province
Pre-School 2,606 2,476 130 3,671 3,334 337 3,759 3,433 326
Elementary 23,765 23,173 592 23,302 22,616 686 23,012 22,319 693
Secondary 12,120 10,203 1,917 11,868 10,017 1,851 11,433 10,088 1,345
Tertiary 4,955 4,923 32 4,992 4,933 59 4,900 4,803 97
Note: There are no private elementary schools in Apayao and Ifugao
Sources: 1) Commission on Higher Education
2) Department of Education
10 - 6
SY 2013-2014 SY 2014-2015 SY 2015-2016 SY 2016-2017

Total Public Private Total Public Private Total Public Private Total Public Private
40,393 32,708 7,685 37,920 31,346 6,574 34,514 29,274 5,240 29,289 25,759 3,530
239,516 215,366 24,150 237,619 213,347 24,272 234,017 210,594 23,423 227,770 205,679 22,091
125,736 90,794 34,942 126,941 92,317 34,624 128,055 93,731 34,324 152,195 107,681 44,514
110,288 36,839 73,449 113,387 37,600 75,787 113,995 39,044 74,951 103,179 37,838 65,341
5,431 4,873 558 5,201 4,655 546 5,158 4,759 399 4,289 4,038 251
33,063 31,091 1,972 33,357 31,348 2,009 32,626 30,720 1,906 31,670 29,916 1,754
17,451 11,639 5,812 17,933 12,136 5,797 18,337 12,263 6,074 22,086 14,631 7,455
6,762 3,447 3,315 7,006 3,699 3,307 7,525 4,041 3,484 6,936 4,041 2,895
2,883 2,800 83 2,609 2,554 55 2,396 2,314 82 2,321 2,229 92

18,304 18,239 65 18,208 18,121 87 17,772 17,666 106 17,141 17,017 124
8,799 7,393 1,406 9,024 7,717 1,307 9,074 7,792 1,282 10,413 9,032 1,381
… 1,864 - 2,063 2,063 - 2,215 2,215 - 2,108 2,108 -
9,072 4,832 4,240 8,844 4,989 3,855 7,012 4,368 2,644 5,342 3,738 1,604
47,988 34,256 13,732 47,146 33,418 13,728 46,845 33,508 13,337 45,397 32,913 12,484
30,210 19,869 10,341 30,117 20,077 10,040 30,274 20,474 9,800 37,031 21,789 15,242
65,774 3,282 62,492 67,547 3,412 64,135 66,802 11,620 55,182 58,537 14,782 43,755
8,793 7,178 1,615 8,286 7,067 1,219 7,807 6,562 1,245 6,726 5,818 908
53,025 47,362 5,663 53,206 47,357 5,849 52,731 46,996 5,735 51,200 45,984 5,216
26,442 18,981 7,461 27,001 19,583 7,418 26,759 19,520 7,239 31,691 23,275 8,416
15,737 10,533 5,204 16,376 10,770 5,606 15,906 10,523 5,383 15,247 10,410 4,837
4,851 4,728 123 4,401 4,269 132 4,088 3,980 108 3,765 3,615 150
29,278 29,106 172 29,171 28,979 192 28,513 28,380 133 28,384 27,967 417
12,795 9,231 3,564 13,279 9,438 3,841 13,167 9,312 3,855 15,375 11,025 4,350
7,156 7,156 - 6,921 6,921 - 7,538 7,538 - 7,538 7,538 -
5,484 4,795 689 4,998 4,564 434 4,807 4,306 501 4,054 3,713 341
35,014 33,203 1,811 34,099 32,451 1,648 33,650 32,030 1,620 32,481 30,994 1,487
17,796 13,236 4,560 17,074 12,642 4,432 17,824 13,422 4,402 20,975 15,349 5,626
7,815 5,475 2,340 8,132 5,505 2,627 8,613 6,064 2,549 8,430 6,064 2,366
3,879 3,502 377 3,581 3,248 333 3,246 2,985 261 2,792 2,608 184
22,844 22,109 735 22,432 21,673 759 21,880 21,294 586 21,497 20,888 609
12,243 10,445 1,798 12,513 10,724 1,789 12,620 10,948 1,672 14,624 12,580 2,044
5,180 5,082 98 5,342 5,230 112 5,396 5,308 88 4,383 4,322 61
10 - 7
Table 10.3
ENROLMENT IN HIGHER EDUCATION INSTITUTIONS (HEIs), BY PROVINCE AND SCHOOL
SY 2013-2014 to SY 2017-2018
Province/HEIs SY 2013-2014 SY 2014-2015 SY 2015-2016 SY 2016-2017 SY 2017-2018
CAR 110,288 117,405 113,851 103,035 79,692
Abra 6,762 7,006 7,525 6,936 4,708

Apayao 1,864 2,063 2,215 2,108 2,080
Baguio City 65,774 68,291 66,802 58,537 47,110
Benguet 15,737 16,063 15,906 15,247 11,463
Ifugao 7,156 6,921 7,394 7,394 4,521
Kalinga 7,815 11,719 8,613 8,430 6,152
Mt. Province 5,180 5,342 5,396 4,383 3,658
PUBLIC HEIs 36,839 37,600 38,900 37,694 28,025
ABRA 3,447 3,699 4,041 4,041 2,723

Abra State Institute of Science & Technology-Main … 1,240 1,382 1,382 790
Abra State Institute of Science & Technology-Bangued … 2,459 2,659 2,659 1,933
APAYAO 1,864 2,063 2,215 2,108 2,080

Apayao State College-Conner … 1,067 1,192 874 1,040
Apayao State College-Luna … 996 1,023 1,234 1,040
BAGUIO CITY 3,282 3,412 3,355 3,355 3,355

Philippine Military Academy … 782 936 936 936
University of the Philippines Baguio … 2,630 2,419 2,419 2,419
BENGUET 10,533 10,770 10,523 10,410 7,548

Benguet State University-Main … 9,747 9,669 9,669 6,654
Benguet State University-Bokod … 357 287 287 240
Benguet State University-Buguias … 364 368 454 306
Benguet State University-Open University … 302 199 - 348
IFUGAO 7,156 6,921 7,394 7,394 4,521

Ifugao State University-Main … 3,915 4,041 4,041 2,411
Ifugao State University-Lagawe … 1,267 1,436 1,436 993
Ifugao State University-Potia … 1,472 1,709 1,709 992
Ifugao State University-Tinoc … 267 208 208 125
KALINGA 5,475 5,505 6,064 6,064 4,186

Kalinga-Apayao State College-Main … 3,674 4,195 4,195 3,172
Kalinga-Apayao State College-Dagupan … 1,586 1,573 1,573 901
Kalinga Apayao State College-Rizal … 245 296 296 113
MT. PROVINCE 5,082 5,230 5,308 4,322 3,612

Mt. Province State Polytechnic College-Main … 4,185 4,067 3,381 2,924
Mt. Province State Polytechnic College-Tadian … 1,045 1,241 941 688
PRIVATE HEIs 73,449 79,805 74,951 65,341 51,667
ABRA 3,315 3,307 3,484 2,895 1,985

Abra Valley College … 1,321 1,511 1,296 905
Data Center College of the Philippines of Bangued Abra … 815 905 691 475
Divine Word College of Bangued … 1,162 1,060 908 605
Pinnacle Healthcare Colleges … 9 8 - -
BAGUIO CITY 62,492 64,879 63,447 55,182 43,755

AMA Computer College … 298 259 259 228
Baguio Central University … 1,856 1,636 4,341 4,674
Baguio Christian Mission International College … 51 46 33 24
Baguio City Academy Colleges, Inc. … 141 77 77 51
Baguio College of Technology … 1,085 646 676 662
BSBT College … 203 157 74 13
Source: Commission on Higher Education - CAR
10 - 8
ENROLMENT IN HIGHER EDUCATION INSTITUTIONS (HEIs), BY PROVINCE AND SCHOOL
SY 2013-2014 to SY 2017-2018
Province/HEIs SY 2013-2014 SY 2014-2015 SY 2015-2016 SY 2016-2017 SY 2017-2018
BAGUIO CITY (Continued)

Casiciaco Recoletos Seminary … 78.00 74.00 57.00 43.00
Data Center College of the Philippines of Baguio City … 518.00 381.00 338.00 301.00
Easter College, Inc … 247.00 210.00 183.00 168.00
Kalos M.A. College … 116.00 … … …
National University-CEDCE … 782.00 … … …
Philippine Women's University-CDCEC … 1,271.00 1,171.00 676.00 611.00
Pines City Colleges … 1,239.00 1,252.00 1,133.00 954.00
Remnant International College … 109.00 107.00 53.00 30.00
Saint Louis University … 31,697.00 32,725.00 25,141.00 18,824.00
San Pablo Major Seminary … 117.00 126.00 100.00 65.00
STI College of Baguio … 295.00 210.00 156.00 90.00
University of Baguio … 13,898.00 14,254.00 11,483.00 7,292.00
University of the Cordilleras … 10,878.00 10,031.00 10,337.00 9,675.00
Keystone College … … 85.00 65.00 50.00
BENGUET 5,204 5,293 5,383 4,837 3,915

BVS College … 447.00 126.00 199.00 197.00
Cordillera Career Development College … 1,982.00 1,853.00 1,645.00 1,495.00
HML International College … 41.00 … … …
King's College of the Philippines-Benguet … 2,823 3,076 2,685 1,898
Luzon Nazarene Bible College … … 97 58 47
Baguio Benguet Christian Colleges-Metro Baguio Incorporated … … 149 149 109
Concordia College of Benguet … … 32 24 49
Philippine College of Ministry … … 50 77 120
KALINGA 2,340 6,214 2,549 2,366 1,966

Cordillera A+ Computer Technology College … 238.00 256 186 176
Int'l School of Asia and the Pacific-Tabuk Branch … 471.00 589 518 481
Kalinga Colleges of Science and Technology … 1,586.00 744 765 501
Saint Louis College of Bulanao … 3,674.00 814 753 696
Saint Tonis College … 245.00 146 144 112
MT. PROVINCE 98 112 88 61 46

Xijen College of Mt. Province 98 112 88 61 46
10 - 9
Table 10.4
ENROLMENT IN HIGHER EDUCATION INSTITUTIONS (HEIs) BY DISCIPLINE GROUP
SY 2008-2009 to 2015-2016
Discpline Group SY 2008-2009 SY 2010-2011 SY 2011-2012
CAR 96,733 104,855 103,577

Agricultural, Forestry, Fisheries, Vet Med. 3,109 3,831 3,919
Architectural and Town Planning 983 1,261 1,484
Business Admin. and Related 18,970 24,650 25,065
Education and Teacher Training 9,869 12,169 13,454
Engineering and Technology 10,716 10,866 11,725
Fine and Applied Arts 99 77 72
General 840 2,023 1,919
Home Economics 673 632 607
Humanities 1,389 1,426 1,454
IT Related Discipline 7,527 9,237 9,525
Law and Jurisprudence 6,136 1,145 1,214
Mass Communication and Documentation 1,383 1,416 1,540
Mathematics and Computer Science 500 531 566
Medical and Allied 27,670 19,844 15,275
Natural Science 976 1,107 1,177
Other Disciplines 659 8,899 10,046
Religion and Theology 168 252 284
Service Trades 2,509 850 1,004
Social and Behavioral Science 2,557 2,812 3,223
Trade, Craft and Industrial - 1,827 24
CAR 110,288 113,387 113,977

Agricultural, Forestry, Fisheries, Vet Med. 6,349 5,767 6,660
Architectural and Town Planning 1,975 2,229 2,512
Business Admin. and Related 24,847 23,985 23,274
Education and Teacher Training 15,783 17,940 17,439
Engineering and Technology 13,452 13,998 14,852
Fine and Applied Arts 80 96 126
General 2,176 1,865 2,047
Home Economics 716 617 610
Humanities 1,493 1,678 1,532
IT Related Discipline 8,299 8,450 7,819
Law and Jurisprudence 1,454 1,496 1,247
Mass Communication and Documentation 1,837 1,837 1,769
Mathematics and Computer Science 579 286 557
Medical and Allied 12,602 11,500 11,576
Natural Science 1,247 1,208 1,199
Other Disciplines 11,544 12,414 13,921
Religion and Theology 313 321 291
Service Trades 1,407 2,547 2,327
Social and Behavioral Science 3,842 3,945 3,947
Trade, Craft and Industrial 293 1,208 272
10 - 10
Table 10.5A
TERTIARY GRADUATES BY MAJOR PROGRAM
SY 2003-2004 to 2015-2016
PROGRAM SY 2003-2004 SY 2004-2005 SY 2005-2006 SY 2006-2007 SY 2007-2008
CAR 13,349 13,031 12,940 14,552 14,492
Agriculture, Forestry,
and Veterinary Medicine 413 506 480 432 381
Architectural and Town Planning 102 86 109 83 37
Business Administration & Related 2,515 2,588 2,456 2,561 2,424
Education Teacher Education 2,858 2,394 2,030 1,938 1,794
Engineering and Technology 1,265 1,455 1,414 1,312 1,115
Fine and Applied Arts 6 3 4 4 41
General 526 335 352 87 85
Home Economics 131 130 118 95 89
Humanities 109 145 98 204 167
IT Related Discipline 748 739 748 760 789
Law and Jurisprudence 181 170 207 270 800
Mass Communication and Documentation 209 198 188 165 166
Mathematics & Computer Science 44 66 76 61 63
Medical and Allied 2,301 2,674 3,419 5,283 5,841
Natural Science 277 212 147 136 148
Other Disciplines 1,108 925 714 640 87
Religion and Theology 10 15 22 24 33
Service Trades 81 70 73 45 60
Social and Behavioral Sciences 296 320 285 452 372
Trade, Craft and Industrial 169 - - - -
Arts and Sciences .. .. .. .. ..
Criminology Education .. .. .. .. ..
10 - 11
TERTIARY GRADUATES BY MAJOR PROGRAM
SY 2003-2004 to 2015-2016
PROGRAM SY 2009-2010 SY 2010-2011 SY 2012-2013 SY 2014-2015 SY 2015-2016
CAR 16,663 16,661 16,478 17,797 16,932
Agriculture, Forestry,
and Veterinary Medicine 464 425 808 764 832
Architectural and Town Planning 76 78 103 102 143
Business Administration & Related 2,925 3,636 4,128 3,987 3,650
Education Teacher Education 1,896 1,903 2,263 2,471 3,019
Engineering and Technology 1,023 1,150 1,347 1,462 1,426
Fine and Applied Arts 8 12 16 17 14
General 339 350 304 405 321
Home Economics 111 114 94 125 126
Humanities 203 197 259 303 286
IT Related Discipline 1,144 1,149 1,647 1,571 1,220
Law and Jurisprudence 155 133 158 157 135
Mass Communication and Documentation 237 180 262 254 292
Mathematics & Computer Science 57 61 88 40 98
Medical and Allied 6,034 5,212 2,755 2,603 1,856
Natural Science 137 153 175 193 192
Other Disciplines 1,070 1,151 1,278 1,945 2,360
Religion and Theology 37 30 36 39 68
Service Trades 53 84 117 177 136
Social and Behavioral Sciences 418 459 480 603 603
Trade, Craft and Industrial 276 184 160 579 155
Arts and Sciences .. .. .. .. ..
Criminology Education .. .. .. .. ..
10 - 12
Table 10.5B
PRIVATE TERTIARY GRADUATES BY PROGRAM LEVEL AND GENDER
SY 2002-2003 to 2007-2008
Male Female Total Male Female Total Male Female Total
CAR 3,936 6,147 10,083 3,699 5,924 9,623 3,618 5,803 9,421
Pre-Baccaulaureate 79 275 354 166 640 806 47 175 222
Baccaulaureate 3,667 5,557 9,224 3,355 4,946 8,301 3,331 5,259 8,590
Post-Baccaulaureate - - - - - - 112 163 275
Masters 161 275 436 159 302 461 112 180 292
Doctorate 29 40 69 19 36 55 16 26 42
Table 10.5B (Continued)

CAR 3,529 5,727 9,256 3,966 6,922 10,888 3,916 6,757 10,673
Baccaulaureate 3,246 5,113 8,359 3,659 6,299 9,958 3,618 6,240 9,858
Post-Baccaulaureate 108 176 284 142 208 350 117 140 257
Masters 81 137 218 87 158 245 83 150 233
Doctorate 13 28 41 13 21 34 12 22 34
Source: Commission on Higher Education
Table 10.5C
PUBLIC TERTIARY GRADUATES BY PROGRAM LEVEL AND GENDER
SY 2002-2003 to 2007-2008

CAR 1,211 2,529 3,740 1,123 2,581 3,704 1,181 2,429 3,610
Baccaulaureate 963 2,176 3,139 857 2,205 3,062 987 2,109 3,096
Post-Baccaulaureate 15 22 37 17 13 30 3 4 7
Masters 44 93 137 52 101 153 33 80 113
Doctorate 12 18 30 3 13 16 6 15 21
Table 10.C (Continued)

CAR 1,164 2,520 3,684 1,257 2,407 3,664 1,184 2,635 3,819
Pre-Baccaulaureate 95 396 491 234 396 630 … … …

Baccaulaureate 1,000 1,987 2,987 975 1,918 2,893 … … …
Post-Baccaulaureate 2 5 7 3 3 6 … … …
Masters 60 120 180 39 81 120 … … …
Doctorate 7 12 19 6 9 15 … … …
10 - 13
Table 10.6
PERFORMANCE INDICATORS IN GOVERNMENT ELEMENTARY
AND SECONDARY SCHOOLS BY PROVINCE/CITY
SY 2001-2002 TO 2016-2017
Division/ School Participation Rate Retention Rate Cohort Survival Rate Comple
Year Elementary Secondary Elementary Secondary Elementary Secondary Elementary
CAR
SY 2001-2002 87.88 51.01 r 92.58 89.60 r 65.00 73.93
SY 2002-2003 82.81 40.71 94.79 r 99.23 r 69.06 r 88.96 r
SY 2003-2004 80.96 43.34 93.47 r 89.69 r 63.60 r 62.42 r
SY 2004-2005 78.48 39.88 92.40 88.80 60.75 62.19
SY 2005-2006 74.57 40.34 91.31 85.72 57.09 54.95
SY 2006-2007 72.68 39.49 92.99 87.10 62.62 61.79
SY 2007-2008 71.20 38.38 92.98 86.37 63.67 r 58.11 r
SY 2008-2009 71.21 37.04 93.19 90.86 61.63 64.23
SY 2009-2010 75.31 40.22 93.64 89.60 64.83 62.13
SY 2010-2011 89.98 44.21 93.38 90.62 64.03 63.31
SY 2011-2012 91.28 45.54 92.55 90.82 74.32 77.99
SY 2012-2013 … … 93.73 91.35 78.46 81.81
SY 2013-2014 … … 96.70 93.44 87.55 …
SY 2014-2015 94.27 67.16 97.50 93.64 86.78 82.17
SY 2015-2016 92.18 71.32 97.69 93.22 91.04 82.80
SY 2016-2017 88.64 68.56 98.63 94.06 95.49 85.81
Abra
SY 2001-2002 89.60 36.56 r 94.70 91.74 r 73.27 75.74
SY 2002-2003 87.31 40.73 94.55 r 85.35 r 70.05 r 55.54 r
SY 2003-2004 84.77 41.31 95.46 r 86.00 r 78.00 r 57.18 r
SY 2004-2005 80.81 35.22 96.01 91.58 81.33 71.46 r
SY 2005-2006 77.50 38.46 r 94.18 91.85 72.12 73.27
SY 2006-2007 75.55 38.05 95.21 92.34 81.35 81.41
SY 2007-2008 74.41 36.45 95.46 91.36 80.25 r 76.70 r
SY 2008-2009 74.52 36.35 95.94 93.43 84.63 82.91
SY 2009-2010 81.57 36.57 96.19 92.33 86.40 79.46
SY 2010-2011 89.45 39.38 94.64 93.34 79.70 81.86
SY 2011-2012 89.97 41.56 94.86 93.34 81.21 82.82
SY 2012-2013 … … 96.49 93.43 88.27 82.95
SY 2013-2014 … … 97.19 95.68 89.08 …
SY 2014-2015 97.41 75.16 99.18 94.17 96.93 83.37
SY 2015-2016 94.94 80.51 98.64 94.90 93.95 85.83
SY 2016-2017 90.60 83.36 99.06 97.67 96.32 95.58
Apayao
SY 2001-2002 … … … … … …
SY 2002-2003 89.71 40.73 88.88 93.23 58.73 74.39
SY 2003-2004 88.59 41.31 85.42 90.00 46.89 66.90
SY 2004-2005 88.45 35.22 86.62 87.47 50.81 64.85
SY 2005-2006 85.07 38.46 r 87.64 84.24 54.93 61.84
SY 2006-2007 81.81 37.07 88.46 86.53 54.57 66.19
SY 2007-2008 80.06 33.40 93.04 89.70 72.62 70.58
SY 2008-2009 81.84 39.96 88.69 90.43 54.88 68.92
SY 2009-2010 89.33 43.57 90.18 89.62 60.42 65.66
SY 2010-2011 98.33 47.35 90.30 86.62 62.94 60.56
SY 2011-2012 101.12 48.18 88.63 89.17 62.54 74.26
SY 2012-2013 … … 90.16 90.61 68.13 76.26
SY 2013-2014 … … 94.38 90.19 80.27 …
SY 2014-2015 91.78 55.75 80.39 78.09
SY 2015-2016 89.41 61.81 84.99 80.41
SY 2016-2017 87.09 60.50 90.17 80.50
Source: Department of Education
10 - 14
Completion Rate Drop-Out Rate Transition Rate

Elementary Secondary Elementary Secondary Elementary Secondary
62.34 r 67.91 r 0.60 5.06 r 96.20 85.70 r

66.76 r 83.16 r 0.64 r 5.00 98.42 r 88.28
62.60 r 59.33 r 0.67 r 5.03 r 96.58 r 86.90 r
59.52 57.70 0.78 5.15 96.18 66.88
55.76 r 50.78 0.64 5.47 95.99 89.91
61.41 57.84 0.81 5.15 96.98 85.02
62.26 r 54.07 0.52 5.05 96.28 84.48
60.66 59.78 0.55 4.55 96.84 85.42
64.06 58.40 0.36 4.72 97.14 84.11
62.79 59.74 0.34 4.77 97.35 85.17
69.32 71.17 0.43 4.36 96.61 81.10
77.23 78.85 0.38 3.29 95.31 …
86.60 … 0.31 2.78 … …
86.43 76.80 0.73 3.17 97.63 98.07
86.22 69.67 0.84 3.43 97.70 98.28
93.69 83.39 0.57 3.00 96.79 95.95
72.23 62.33 r 0.30 4.68 r 96.68 70.21 r

69.36 r 51.77 r 0.15 r 5.08 96.91 r 72.19
77.60 r 53.74 r 0.15 r 5.65 r 97.05 r 73.29 r
80.58 68.73 0.27 5.05 97.48 50.15
71.97 67.49 0.25 5.30 96.50 74.90
81.03 78.85 0.18 5.09 97.55 68.20
80.05 72.54 0.13 4.72 96.31 70.47
84.38 80.34 0.15 4.50 98.65 69.02
85.98 77.98 0.17 4.55 97.95 68.09
79.54 78.58 0.23 4.77 96.65 61.17
77.94 82.82 0.38 4.85 97.50 68.75
87.84 82.95 0.41 3.57 96.52 …
88.71 … 0.51 3.25 … …
96.93 81.43 0.49 3.16 98.91 95.56
97.81 65.54 0.66 3.82 98.48 96.65
95.85 92.47 0.43 3.20 98.17 95.72
… … … … … …
56.23 70.34 1.26 4.98 92.48 84.37
45.02 65.14 1.18 4.30 92.41 82.24
49.66 60.61 0.75 4.14 92.89 40.45
52.30 55.85 1.00 6.58 99.58 86.33
53.56 61.57 1.08 4.13 94.37 78.14
67.52 60.55 0.62 6.16 99.52 86.90
54.01 64.20 0.75 5.62 94.82 83.01
59.45 63.81 0.53 3.74 96.74 83.62
61.63 56.40 0.17 5.41 98.20 88.22
57.22 74.26 0.33 5.21 94.69 87.06
67.76 76.26 0.49 4.73 93.53 …
78.71 … 0.84 4.36 … …
79.04 75.78 1.20 5.59 96.10 101.06
84.12 69.41 1.71 5.70 97.54 99.36
89.77 77.63 0.89 4.57 95.45 93.76
10 - 15
SY 2001-2002 TO 2016-2017
Division/ Participation Rate Retention Rate Cohort Survival Rate Comple

School Year Elementary Secondary Elementary Secondary Elementary Secondary Elementary
Baguio City
SY 2001-2002 68.67 53.35 r 98.31 96.09 r 92.93 89.17
SY 2002-2003 76.12 60.52 100.05 r 157.11 r 75.36 r 374.74
SY 2003-2004 74.98 64.23 99.63 r 94.63 r 72.18 r 70.94 r
SY 2004-2005 72.59 62.47 97.72 91.23 63.59 62.62
SY 2005-2006 67.91 r 56.51 96.89 89.98 58.52 r 60.28 r
SY 2006-2007 67.59 55.59 99.45 85.47 70.76 55.23 r
SY 2007-2008 67.93 52.78 96.97 84.42 57.74 r 50.65 r
SY 2008-2009 70.16 50.70 98.93 92.34 59.08 65.94
SY 2009-2010 67.96 54.44 99.87 91.67 62.94 59.61
SY 2010-2011 86.19 66.03 99.57 93.87 58.47 64.77
SY 2011-2012 87.11 40.06 96.31 91.75 90.61 81.27
SY 2012-2013 … … 96.45 91.51 89.98 86.22
SY 2013-2014 … … 98.92 98.52 94.72 …
SY 2014-2015 108.77 96.06 97.77 94.57 89.72 84.71
SY 2015-2016 105.26 96.40 98.26 94.78 98.71 86.38
SY 2016-2017 102.95 90.06 98.79 94.36 94.70 86.53
Benguet
SY 2001-2002 92.79 44.00 r 94.40 86.33 68.05 71.32
SY 2002-2003 79.20 34.67 96.77 r 90.48 r 67.75 r 67.64 r
SY 2003-2004 76.15 36.02 95.47 r 90.17 r 66.14 r 62.91 r
SY 2004-2005 73.20 33.35 93.74 91.25 60.97 68.58
SY 2005-2006 69.73 33.06 92.80 r 85.71 59.78 59.55 r
SY 2006-2007 68.19 32.47 94.82 89.73 60.65 65.20
SY 2007-2008 66.43 31.92 93.76 87.14 62.62 r 57.17 r
SY 2008-2009 65.04 30.73 92.82 91.39 58.09 61.92
SY 2009-2010 66.79 33.00 93.71 91.33 60.38 62.19
SY 2010-2011 85.20 37.67 92.98 93.26 60.18 65.46
SY 2011-2012 91.94 30.82 92.87 89.41 75.61 74.76
SY 2012-2013 … … 93.29 92.23 76.87 81.02
SY 2013-2014 … … 97.28 92.69 89.30 …
SY 2014-2015 88.35 57.69 98.08 94.57 91.44 84.75
SY 2015-2016 87.44 60.79 98.03 91.71 90.81 78.39
SY 2016-2017 82.21 57.46 99.35 95.36 98.71 89.86
Ifugao
SY 2001-2002 94.05 34.11 r 89.99 83.87 r 50.66 65.66
SY 2002-2003 82.98 31.45 91.98 r 86.74 r 65.59 r 62.82 r
SY 2003-2004 82.88 33.94 90.92 r 82.84 r 57.78 r 50.19 r
SY 2004-2005 81.46 34.42 89.97 80.95 53.46 49.41
SY 2005-2006 77.85 33.99 88.29 r 75.87 50.78 38.27
SY 2006-2007 74.90 32.85 88.78 83.84 52.10 56.68
SY 2007-2008 71.48 31.99 89.25 82.51 55.33 r 55.06 r
SY 2008-2009 69.82 29.14 89.62 83.38 53.80 47.88
SY 2009-2010 73.37 29.52 91.04 79.70 60.20 45.75
SY 2010-2011 90.01 31.41 90.81 85.27 59.70 53.90
SY 2011-2012 101.93 45.26 92.46 90.02 73.92 75.25
SY 2012-2013 … … 93.86 90.53 78.55 85.56
SY 2013-2014 … … 96.43 82.85 90.02 …
SY 2014-2015 86.60 52.34 94.85 92.48 78.26 79.56
SY 2015-2016 84.94 55.97 95.61 88.61 81.61 70.40
SY 2016-2017 80.05 53.53 98.62 90.24 96.61 75.84
10 - 16

87.07 80.78 1.08 4.81 100.18 123.68

68.97 r 347.02 1.02 r 5.33 102.26 r 135.03
70.69 r 67.50 r 1.13 r 4.05 r 101.82 r 126.66 r
62.03 55.44 0.97 4.91 100.95 99.23
56.04 56.20 1.27 5.06 100.36 129.38
69.13 50.71 1.17 4.92 101.76 123.27
56.48 46.99 1.20 5.21 99.49 117.82
59.12 61.78 1.05 5.36 100.30 123.78
62.53 54.29 0.64 5.19 100.34 119.76
57.61 61.10 0.76 5.52 102.13 122.61
88.77 81.27 1.62 4.98 98.29 111.65
86.72 86.22 0.38 3.01 97.59 …
93.61 … 0.22 1.94 … …
89.72 81.10 0.92 2.77 97.58 107.18
80.10 59.38 0.94 2.58 98.12 106.97
89.34 82.42 0.76 2.75 95.95 104.18
66.90 64.71 0.27 4.52 r 97.78 76.30 r

67.45 r 64.82 r 0.30 r 4.70 99.62 r 74.64
65.80 r 60.95 r 0.27 r 5.24 r 98.20 r 74.65 r
60.38 66.38 0.32 5.87 97.25 66.56
59.28 55.78 0.20 6.45 96.22 79.94
60.68 63.05 0.17 8.71 r 98.14 76.73
62.19 54.41 0.14 4.70 97.66 75.92
57.85 60.56 0.14 3.83 97.39 75.84
60.14 61.07 0.15 4.74 97.14 76.21
59.96 63.53 0.17 4.32 96.41 76.28
70.92 74.76 0.36 3.57 96.73 74.69
74.28 81.02 0.41 2.73 94.25 …
88.28 … 0.24 2.73 … …
90.55 82.92 0.85 3.20 99.11 94.94
90.07 76.69 0.67 2.99 98.31 94.84
97.42 88.72 0.47 2.69 97.88 92.67
54.72 62.43 r 0.45 6.64 r 93.20 81.42 r

60.77 r 58.36 r 1.13 r 5.26 97.53 r 81.99
55.55 r 46.93 r 1.61 r 5.81 r 94.82 r 83.59 r
51.23 44.90 1.81 6.94 95.13 71.76
48.65 35.07 1.14 5.48 93.15 72.25
50.68 53.02 2.66 5.74 93.73 74.32
53.57 52.25 1.38 5.14 90.45 72.83
52.85 46.22 1.10 3.92 92.69 72.38
59.01 42.93 0.78 4.90 94.63 69.77
58.48 50.76 0.60 4.18 95.06 69.51
62.41 75.25 0.83 4.16 96.97 62.31
77.97 85.56 0.38 2.73 94.55 …
89.50 … 0.29 2.94 … …
76.22 59.05 0.69 3.28 96.70 94.99
80.16 58.80 1.12 4.63 95.14 91.71
96.91 75.62 0.48 4.76 97.56 92.92
10 - 17
SY 2001-2002 TO 2016-2017
Division/ Participation Rate Retention Rate Cohort Survival Rate Comple

School Year Elementary Secondary Elementary Secondary Elementary Secondary Elementary
Kalinga
SY 2001-2002 99.39 36.24 r 88.98 83.97 r 81.21 70.42
SY 2002-2003 87.70 34.74 94.16 r 91.48 r 74.47 r 65.92 r
SY 2003-2004 86.84 r 38.65 90.80 r 94.51 r 59.29 r 71.72 r
SY 2004-2005 83.44 35.04 87.00 89.02 50.12 60.11
SY 2005-2006 78.68 38.56 86.81 83.03 47.52 42.30
SY 2006-2007 75.67 37.79 88.76 85.48 55.94 56.88
SY 2007-2008 74.96 40.36 90.59 87.56 62.05 57.67 r
SY 2008-2009 75.88 37.47 91.95 91.77 64.28 66.50
SY 2009-2010 86.51 44.93 91.21 94.76 63.77 74.13
SY 2010-2011 99.54 45.95 91.24 88.78 63.59 58.39
SY 2011-2012 85.95 46.2 88.74 90.99 62.66 77.75
SY 2012-2013 … … 90.70 90.16 68.41 76.60
SY 2013-2014 … … 94.74 91.31 77.75 …
SY 2014-2015 97.52 56.43 94.73 92.02 76.25 77.89
SY 2015-2016 94.56 61.45 97.69 94.52 89.16 84.73
SY 2016-2017 90.13 61.17 96.02 91.33 83.28 76.85
Mt. Province
SY 2001-2002 79.81 47.82 r 92.08 94.42 r 67.37 65.95
SY 2002-2003 83.88 43.91 93.38 r 87.85 r 69.93 r 58.05 r
SY 2003-2004 80.82 47.40 92.26 r 85.73 r 60.76 r 55.35 r
SY 2004-2005 79.57 42.70 93.58 85.19 68.70 56.01
SY 2005-2006 75.42 46.52 90.79 84.37 58.63 53.45
SY 2006-2007 74.11 43.85 93.34 85.59 68.72 60.36
SY 2007-2008 71.70 41.62 91.09 84.19 62.58 r 54.80 r
SY 2008-2009 71.35 38.01 92.68 90.65 58.40 57.81
SY 2009-2010 80.00 44.54 91.42 84.08 63.14 53.21
SY 2010-2011 89.01 45.22 93.02 87.45 68.02 56.57
SY 2011-2012 88.19 68.66 92.40 90.44 71.55 78.28
SY 2012-2013 … … 94.19 89.91 77.22 79.57
SY 2013-2014 … … 96.70 92.17 86.42 79.60
SY 2014-2015 87.94 65.85 96.77 93.22 85.61 81.13
SY 2015-2016 86.21 69.30 97.27 92.78 88.43 80.60
SY 2016-2017 85.22 65.08 99.28 92.52 98.97 83.59
10 - 18

49.31 73.03 0.68 5.41 r 93.13 75.98 r

72.76 r 60.21 r 0.69 r 6.46 99.60 r 84.64 r
58.89 r 68.90 r 0.60 r 5.68 r 93.84 r 81.14 r
48.61 57.24 1.31 3.64 90.39 55.71
46.53 39.33 0.76 5.79 91.66 90.63
52.18 52.23 0.55 5.78 93.02 85.79
59.24 54.05 0.35 5.51 95.37 85.68
60.77 51.44 0.65 4.44 95.89 88.22
61.98 67.49 0.30 4.85 97.39 86.74
59.16 53.05 0.29 5.07 96.72 85.51
59.84 77.75 0.20 3.90 94.95 78.14
68.41 76.60 0.40 3.57 94.26 …
76.75 … 0.20 3.00 … …
75.85 70.47 0.49 3.55 93.71 86.56
89.16 83.46 0.72 3.91 97.57 86.33
83.06 75.93 0.75 2.23 95.74 84.51
61.90 r 64.17 0.18 5.03 r 95.21 106.34

68.67 r 53.93 r 0.42 r 3.52 r 96.76 r 96.47 r
59.80 r 51.20 r 0.21 r 4.87 94.43 r 92.86 r
67.75 50.57 0.15 4.87 97.51 71.42
57.17 48.14 0.20 3.85 96.43 103.41
68.22 54.58 0.25 4.05 98.86 90.75
62.05 48.70 0.06 4.49 95.59 89.28
56.78 54.77 0.32 4.47 96.77 91.36
62.47 47.72 0.10 4.24 94.74 88.01
67.32 52.47 0.18 3.96 96.70 94.06
67.71 78.28 0.29 4.19 96.05 87.85
76.24 79.57 0.15 3.94 96.25 …
85.23 75.86 0.08 2.38 … …
85.07 79.54 0.41 2.70 97.77 97.36
84.83 70.67 0.45 2.89 97.07 96.44
98.97 83.59 0.39 2.58 97.61 94.74
10 - 19
Table 10.7A
BASIC LITERACY RATE OF POPULATION 10 YEARS OLD AND OVER, BY SEX
AND AGE GROUP: 2013
Population 10 Years & Over Basic Literacy Rate

Area/Age Group (in Thousands) (In Percent)
Both Sexes Male Female Both Sexes Male Female
Philippines 73,710 36,948 36,762 96.5 96.1 97.0

10-14 yrs. 9,823 5,063 4,760 97.4 96.4 98.5
15-19 9,563 4,868 4,695 98.3 97.7 99.0
20-24 8,856 4,487 4,369 97.9 97.1 98.6
25-29 7,737 3,909 3,828 97.8 97.4 98.3
30-39 13,124 6,646 6,478 96.8 96.1 97.4
40-49 10,463 5,293 5,170 95.9 95.6 96.2
50-59 7,404 3,687 3,717 95.1 94.6 95.6
60 and Over 6,740 2,995 3,745 91.5 91.9 91.3
CAR 1,355 689 666 94.9 94.8 94.9

10-14 yrs. 171 88 83 98.9 98.3 99.6
15-19 203 95 92 99.5 98.9 100.0
20-24 183 93 90 96.9 95.6 98.3
25-29 149 78 71 96.5 97.3 95.7
30-39 221 117 107 98.3 97.8 98.8
40-49 183 94 89 95.0 94.8 95.2
50-59 132 67 65 89.1 87.7 90.6
60 and Over 126 57 69 77.6 80.7 74.9

Source: 2013 FLEMMS, Philippine Statistics Authority
Table 10.7B
FUNCTIONAL LITERACY RATE OF POPULATION 10 YEARS OLD AND OVER, BY SEX
AND AGE GROUP: 2013
Population 10 Years & Over Functional Literacy Rate

Area/Age Group (in Thousands) (In Percent)
Both Sexes Male Female Both Sexes Male Female
Philippines 69,438 35,155 34,284 90.3 88.7 92.0

10-14 yrs. 9,823 5,063 4,760 83.2 81.3 85.2
15-19 10,834 4,898 4,695 93.7 91.9 95.6
20-24 7,183 4,487 4,369 95.1 93.3 97.0
25-29 7,737 3,909 3,828 93.8 92.4 95.2
30-39 13,124 6,646 6,478 91.5 89.4 93.5
40-49 10,463 5,293 5,170 89.3 87.7 90.8
50-59 7,404 3,687 3,717 87.5 86.7 88.3
60-64 2,439 1,172 1,267 83.6 82.5 84.7
CAR 1,272 653 619 91.2 89.7 92.9

10-14 yrs. 171 88 83 97.4 85.8 86.5
15-19 187 95 92 94.7 91.5 98.2
20-24 183 93 90 94.5 93.4 95.6
25-29 149 78 71 95.6 93.0 98.4
30-39 224 117 107 94.8 92.6 97.0
40-49 183 94 89 94.3 92.9 95.7
50-59 132 67 65 90.7 87.3 94.1
60-64 41 20 21 93.5 93.9 93.2

Source: 2013 FLEMMS, Philippine Statistics Authority
10 - 20
Table 10.7C
LITERACY OF HOUSEHOLD POPULATION 10 YEARS OLD AND OVER BY SEX,
AGE GROUP, AND PROVINCE
Census Year 2015
HH Population 10 Years Old &

Area / Over LITERATE ILLITERATE
Both Both Both
Age Group Male Female Male Female Male Female
Sexes Sexes Sexes
CAR 2,708,360 2,678,182 2,665,145 2,648,004 1,354,180 690,833 60,356 30,178 17,141
10-14 175,921 90,274 85,647 175,106 89,752 85,354 815 522 293
15-19 177,041 89,426 87,615 176,101 88,791 87,310 940 635 305
20-24 173,885 88,350 85,535 172,853 87,676 85,177 1,032 674 358
25-29 149,475 77,648 71,827 148,385 76,954 71,431 1,090 694 396
30-34 125,565 66,158 59,407 124,487 65,435 59,052 1,078 723 355
35-39 107,852 56,385 51,467 106,614 55,642 50,972 1,238 743 495
40-44 90,192 47,167 43,025 88,738 46,310 42,428 1,454 857 597
45-49 84,810 43,710 41,100 82,958 42,698 40,260 1,852 1,012 840
50-54 74,610 38,402 36,208 72,437 37,298 35,139 2,173 1,104 1,069
55-59 61,936 31,345 30,591 59,489 30,225 29,264 2,447 1,120 1,327
60-64 46,135 22,764 23,371 43,676 21,712 21,964 2,459 1,052 1,407
65 and over 86,758 37,792 48,966 73,158 33,891 39,267 13,600 3,901 9,699
Abra 191,081 97,087 93,994 188,636 95,919 92,717 2,445 1,168 1,277
10-14 25,472 13,318 12,154 25,361 13,251 12,110 111 67 44

15-19 21,685 11,395 10,290 21,566 11,312 10,254 119 83 36
20-24 20,425 10,502 9,923 20,303 10,431 9,872 122 71 51
25-29 18,525 9,538 8,987 18,410 9,474 8,936 115 64 51
30-34 17,198 8,992 8,206 17,087 8,908 8,179 111 84 27
35-39 15,374 7,969 7,405 15,251 7,892 7,359 123 77 46
40-44 13,019 6,729 6,290 12,912 6,669 6,243 107 60 47
45-49 12,601 6,500 6,101 12,468 6,424 6,044 133 76 57
50-54 11,298 5,815 5,483 11,148 5,725 5,423 150 90 60
55-59 10,121 5,119 5,002 9,965 5,036 4,929 156 83 73
60-64 7,988 3,874 4,114 7,827 3,796 4,031 161 78 83
65 and over 17,375 7,336 10,039 16,338 7,001 9,337 1,037 335 702
Apayao 93,454 48,482 44,972 90,180 46,819 43,361 3,274 1,663 1,611
10-14 12,434 6,442 5,992 12,287 6,351 5,936 147 91 56

15-19 12,294 6,354 5,940 12,140 6,252 5,888 154 102 52
20-24 11,281 5,966 5,315 11,091 5,841 5,250 190 125 65
25-29 9,354 4,911 4,443 9,138 4,775 4,363 216 136 80
30-34 8,375 4,410 3,965 8,156 4,273 3,883 219 137 82
35-39 7,642 4,005 3,637 7,403 3,882 3,521 239 123 116
40-44 6,903 3,647 3,256 6,633 3,501 3,132 270 146 124
45-49 6,092 3,246 2,846 5,850 3,107 2,743 242 139 103
50-54 5,445 2,840 2,605 5,196 2,714 2,482 249 126 123
55-59 4,328 2,262 2,066 4,119 2,149 1,970 209 113 96
60-64 3,155 1,578 1,577 2,950 1,486 1,464 205 92 113
65 and over 6,151 2,821 3,330 5,217 2,488 2,729 934 333 601
10 - 21
Census Year 2015

Both Both Both
Sexes Sexes Sexes
Baguio City 270,245 130,265 139,980 269,241 129,895 139,346 1,004 370 634
10-14 34,176 16,956 17,220 34,095 16,905 17,190 81 51 30

15-19 36,577 17,615 18,962 36,505 17,568 18,937 72 47 25
20-24 36,879 17,707 19,172 36,822 17,676 19,146 57 31 26
25-29 29,876 14,482 15,394 29,822 14,452 15,370 54 30 24
30-34 25,567 12,600 12,967 25,539 12,585 12,954 28 15 13
35-39 22,021 10,811 11,210 21,980 10,792 11,188 41 19 22
40-44 17,936 8,799 9,137 17,902 8,782 9,120 34 17 17
45-49 17,388 8,424 8,964 17,339 8,408 8,931 49 16 33
50-54 15,138 7,368 7,770 15,087 7,351 7,736 51 17 34
55-59 12,148 5,823 6,325 12,070 5,793 6,277 78 30 48
60-64 8,814 4,055 4,759 8,750 4,036 4,714 64 19 45
65 and over 13,725 5,625 8,100 13,330 5,547 7,783 395 78 317
Benguet 355,531 184,680 170,851 349,692 182,326 167,366 5,839 2,354 3,485
10-14 41,290 21,234 20,056 41,109 21,120 19,989 181 114 67

15-19 47,000 23,264 23,736 46,807 23,136 23,671 193 128 65
20-24 49,359 25,195 24,164 49,182 25,071 24,111 177 124 53
25-29 43,276 23,126 20,150 43,083 22,999 20,084 193 127 66
30-34 35,534 19,379 16,155 35,340 19,246 16,094 194 133 61
35-39 28,729 15,582 13,147 28,566 15,458 13,108 163 124 39
40-44 23,272 12,594 10,678 23,076 12,473 10,603 196 121 75
45-49 21,837 11,476 10,361 21,559 11,292 10,267 278 184 94
50-54 19,305 10,293 9,012 18,993 10,115 8,878 312 178 134
55-59 15,545 8,165 7,380 15,167 7,966 7,201 378 199 179
60-64 11,187 5,687 5,500 10,778 5,515 5,263 409 172 237
65 and over 19,197 8,685 10,512 16,032 7,935 8,097 3,165 750 2,415
Ifugao 157,512 81,571 75,941 150,704 78,370 72,334 6,808 3,201 3,607
10-14 21,742 11,213 10,529 21,635 11,140 10,495 107 73 34

15-19 21,042 10,720 10,322 20,911 10,626 10,285 131 94 37
20-24 20,982 10,891 10,091 20,787 10,759 10,028 195 132 63
25-29 18,126 9,621 8,505 17,930 9,483 8,447 196 138 58
30-34 14,355 7,789 6,566 14,140 7,635 6,505 215 154 61
35-39 12,452 6,648 5,804 12,199 6,488 5,711 253 160 93
40-44 10,196 5,505 4,691 9,873 5,288 4,585 323 217 106
45-49 9,207 4,822 4,385 8,755 4,553 4,202 452 269 183
50-54 8,016 4,106 3,910 7,421 3,791 3,630 595 315 280
55-59 6,622 3,362 3,260 5,958 3,040 2,918 664 322 342
60-64 5,061 2,551 2,510 4,383 2,231 2,152 678 320 358
65 and over 9,711 4,343 5,368 6,712 3,336 3,376 2,999 1,007 1,992
10 - 22
Census Year 2015

Both Both Both
Sexes Sexes Sexes
Kalinga 164,769 85,019 79,750 158,989 82,549 76,440 5,780 2,470 3,310
10-14 23,745 12,313 11,432 23,622 12,234 11,388 123 79 44

15-19 22,415 11,735 10,680 22,234 11,610 10,624 181 125 56
20-24 20,120 10,395 9,725 19,916 10,262 9,654 204 133 71
25-29 17,474 9,246 8,228 17,247 9,100 8,147 227 146 81
30-34 14,243 7,557 6,686 14,024 7,418 6,606 219 139 80
35-39 12,811 6,710 6,101 12,504 6,542 5,962 307 168 139
40-44 11,216 5,862 5,354 10,873 5,682 5,191 343 180 163
45-49 10,136 5,201 4,935 9,676 5,006 4,670 460 195 265
50-54 8,782 4,556 4,226 8,268 4,319 3,949 514 237 277
55-59 7,442 3,693 3,749 6,852 3,473 3,379 590 220 370
60-64 5,527 2,826 2,701 5,026 2,631 2,395 501 195 306
65 and over 10,858 4,925 5,933 8,747 4,272 4,475 2,111 653 1,458
Mt. Province 121,588 62,317 59,271 116,560 60,506 56,054 5,028 1,811 3,217
10-14 17,062 8,798 8,264 16,997 8,751 8,246 65 47 18

15-19 16,028 8,343 7,685 15,938 8,287 7,651 90 56 34
20-24 14,839 7,694 7,145 14,752 7,636 7,116 87 58 29
25-29 12,844 6,724 6,120 12,755 6,671 6,084 89 53 36
30-34 10,293 5,431 4,862 10,201 5,370 4,831 92 61 31
35-39 8,823 4,660 4,163 8,711 4,588 4,123 112 72 40
40-44 7,650 4,031 3,619 7,469 3,915 3,554 181 116 65
45-49 7,549 4,041 3,508 7,311 3,908 3,403 238 133 105
50-54 6,626 3,424 3,202 6,324 3,283 3,041 302 141 161
55-59 5,730 2,921 2,809 5,358 2,768 2,590 372 153 219
60-64 4,403 2,193 2,210 3,962 2,017 1,945 441 176 265
65 and over 9,741 4,057 5,684 6,782 3,312 3,470 2,959 745 2,214
10 - 23
Table 10.8
SCHOOL-GOING AGE POPULATION BY AGE GROUP AND PROVINCE/CITY
Census Years 1995, 2000, 2010 and 2015
Age Group Area 1995 2000 2010 2015
7-12 CAR 187,579 209,823 205,338 214,610
Abra 28,994 30,046 29,377 31,151

Apayao 12,406 14,976 15,551 15,308
Baguio City 28,407 33,350 35,619 40,460
Benguet 49,186 53,302 49,057 51,675
Ifugao 24,453 27,042 26,124 26,986
Kalinga 23,957 28,546 28,376 28,801
Mt. Provnce 20,176 22,561 21,234 20,229
13-16 CAR 116,377 124,125 136,339 140,099
Abra 18,789 18,871 18,763 18,808

Apayao 7,743 8,437 10,274 9,974
Baguio City 19,679 20,724 23,494 27,828
Benguet 29,380 31,368 33,430 33,951
Ifugao 14,262 15,578 17,781 17,130
Kalinga 14,511 16,042 18,682 18,611
Mt. Provnce 12,013 13,105 13,915 13,797
17-24 CAR 199,036 221,504 278,733 281,176
Abra 27,250 32,191 34,822 32,914

Apayao 12,881 15,114 17,134 18,436
Baguio City 47,224 48,882 61,496 60,504
Benguet 48,025 51,733 73,576 78,718
Ifugao 22,277 25,530 33,042 33,299
Kalinga 22,742 26,940 33,034 33,185
Mt. Provnce 18,637 21,114 25,629 24,120
Note: DepEd adopted 6-12 years old as school-age population for elementary starting 1995
10 - 24
Table 10.9
PRIVATE HOUSEHOLD POPULATION 7 YEARS OLD AND OVER
BY HIGHEST GRADE COMPLETED BY PROVINCE
Area/
1990 1995 2000
Highest Grade Completed
Philippines 48,865,341 55,385,639 55,385,639
CAR 1,112,728 1,078,185 1,123,847

No Grade Completed 89,521 95,927 50,165
Pre-School 10,813 38,561 6,686
Elementary 502,136 434,520 469,349
1st-4th Grade 261,705 231,048 245,748
5th-7th Grade 240,431 203,472 223,601
High school 275,117 275,592 311,551
Undergraduate 142,343 142,726 179,658
Graduate 132,774 132,866 131,893
Post Secondary 29,349 23,648 48,685
Undergraduate 8,390 5,329 17,881
Graduate 20,959 18,319 30,804
College Undergraduate 108,511 90,177 146,146
Academic Degree Holder 90,805 93,218 66,575
Not Stated 6,476 23,281 16,469
Abra 150,916 171,426 176,339

Pre-School 1,491 5,077 896
Elementary 76,314 72,611 76,219
1st-4th Grade 38,797 35,555 36,295
5th-7th Grade 37,517 37,056 39,924
High school 39,954 49,504 54,925
Undergraduate 20,609 24,232 27,152
Graduate 19,345 25,272 27,773
Post Secondary 4,713 5,676 8,957
Graduate 3,679 4,257 4,854
Post Baccalaureate ... 152 1,371
Not Stated 855 3,775 2,542
Apayao 50,818 71,695 79,174

Pre-School 344 2,708 685
Elementary 31,082 36,897 42,651
1st-4th Grade 15,864 17,868 20,498
5th-7th Grade 15,218 19,029 22,153
High school 10,274 17,591 19,425
Graduate 3,956 7,599 7,159
Post Secondary 715 698 1,889
Undergraduate 224 117 989
Graduate 491 581 900
Post Baccalaureate ... 69 91
Not Stated 226 1,456 1,407
10 - 25
Area/
1990 1995 2000
Baguio City 148,595 195,953 209,209

Pre-School 1,241 5,940 936
Elementary 40,113 46,332 49,321
1st-4th Grade 19,925 24,633 25,930
5th-7th Grade 20,188 21,699 23,391
High school 43,757 57,356 62,488
Undergraduate 17,756 22,359 26,998
Graduate 26,001 34,997 35,490
Post Secondary 6,664 6,459 16,993
Graduate 4,769 5,298 11,786
Post Baccalaureate ... 1,457 2,229
Not Stated 1,058 3,978 3,051
Benguet 385,323 268,250 271,722

Pre-School 4,064 9,008 1,157
Elementary 155,272 115,921 118,855
1st-4th Grade 77,182 59,187 58,737
5th-7th Grade 78,090 56,734 60,118
High school 105,843 69,359 79,508
Undergraduate 50,932 36,588 48,238
Graduate 54,911 32,771 31,270
Post Secondary 12,008 5,548 9,499
Graduate 8,015 3,999 6,212
Not Stated 2,292 5,779 3,258
Ifugao 116,258 127,377 131,202

Pre-School 1,266 5,914 1,166
Elementary 60,988 57,746 63,767
1st-4th Grade 34,612 33,631 37,140
5th-7th Grade 26,376 24,115 26,627
High school 20,516 25,162 30,786
Undergraduate 12,725 14,913 21,663
Graduate 7,791 10,249 9,123
Undergraduate 247 322 1,614
Graduate 976 1,137 1,936
Not Stated 382 2,470 1,954
10 - 26
Area/
1990 1995 2000
Kalinga 167,495 131,038 140,547

Pre-School 1,275 4,654 1,101
Elementary 94,349 60,167 67,542
1st-4th Grade 50,751 34,370 38,453
5th-7th Grade 43,598 25,797 29,089
High school 34,630 30,075 34,441
Undergraduate 22,289 19,255 24,331
Graduate 12,341 10,820 10,110
Undergraduate 657 338 1,696
Graduate 1,936 1,708 2,814
Not Stated 1,006 2,429 2,750
Mt. Province 93,323 112,446 115,654

Pre-School 1,132 5,260 745
Elementary 44,018 44,846 50,994
1st-4th Grade 24,574 25,804 28,695
5th-7th Grade 19,444 19,042 22,299
High school 20,143 26,545 29,978
Undergraduate 11,714 15,387 19,010
Graduate 8,429 11,158 10,968
Undergraduate 340 423 985
Graduate 1,093 1,339 2,302
Not Stated 657 3,394 1,237
10 - 27
Table 10.10
NUMBER OF TERTIARY TEACHERS BY PROVINCE
SY 1987-1988 to SY 2006-2007
AREA CAR Abra Apayao Baguio City Benguet Ifugao Kalinga Mt. Province
SY 1987-1988
Total 1,791 103 ... 1,223 287 103 40 35
Public 602 57 ... 92 287 103 28 35
Private 1,189 46 ... 1,131 - - 12 -
SY 1988-1989
Total 1,850 106 12 1,240 309 104 45 34
Public 663 61 12 110 309 104 33 34
Private 1,187 45 ... 1,130 - - 12 -
SY 1989-1990
Total 1,833 117 12 1,227 287 104 54 32
Public 656 64 12 115 287 104 42 32
Private 1,177 53 … 1,112 - - 12 -
SY 1990-1991
Total 2,046 160 16 1,430 248 114 46 32
Public 700 100 16 157 248 114 33 32
Private 1,346 60 … 1,273 - - 13 -
SY 1991-1992
Total 2,000 157 16 1,342 284 117 50 34
Public 754 101 16 167 284 117 35 34
Private 1,246 56 … 1,175 - - 15 -
SY 1992-1993
Total 2,009 167 17 1,297 303 121 48 56
Public 819 110 17 178 303 121 34 56
Private 1,190 57 … 1,119 - - 14 -
SY 1993-1994
Total 2,063 170 19 1,329 289 122 61 73
Public 831 114 19 184 289 122 50 73
Private 1,232 56 … 1,145 20 - 11 -
SY 1994-1995
Total 2,079 164 26 1,295 337 122 60 73
Public 828 100 26 180 278 122 47 73
Private 1,251 64 … 1,115 59 13 -
SY 1995-1996
Total 2,119 164 26 1,335 337 124 60 73
Public 828 100 26 180 278 124 47 73
Private 1,291 64 - 1,155 59 - 13 -
SY 1996-1997
Total 2,457 177 44 1,588 380 88 93 87
Public 843 100 44 160 297 88 67 87
Private 1,614 77 - 1,428 83 - 26 -
SY 1997-1998
Total 2,619 178 44 1,683 400 109 100 105
Public 904 98 44 160 312 109 76 105
Private 1,715 80 - 1,523 88 - 24 -
SY 1999-2000
Total 2,974 249 27 1,857 476 81 131 153
Public 1,141 120 27 304 352 81 104 153
Private 1,833 129 - 1,553 124 - 27 -
Note: Kalinga includes Apayao from SY 1983-1984 to SY 1987-1988

10 - 28
NUMBER OF TERTIARY TEACHERS BY PROVINCE
SY 2000-2001 to SY 2006-2007
AREA CAR Abra Apayao Baguio City Benguet Ifugao Kalinga Mt. Province
SY 2000-2001
Total 3,427 339 80 2,147 572 126 150 13
Public 1,232 140 80 310 436 126 127 13
Private 2,195 199 - 1,837 136 - 23 -
SY 2001-2002
Total 2,976 261 59 1,800 472 114 150 120
Public 948 118 59 139 303 114 95 120
Private 2,028 143 - 1,661 169 - 55 -
SY 2002-2003
Total 3,354 253 69 1,965 505 151 254 157
Public 1,102 97 69 141 331 151 156 157
Private 2,252 156 - 1,824 174 - 98 -
SY 2003-2004
Total 3,470 271 77 2,083 584 127 188 140
Public 1,064 116 77 150 348 127 106 140
Private 2,406 155 - 1,933 236 - 82 -
SY 2004-2005
Total 3,793 325 83 2,396 551 158 160 120
Public 1,096 133 83 140 356 158 106 120
Private 2,697 192 - 2,256 195 - 54 -
SY 2005-2006
Total 3,931 301 80 2,490 567 158 180 155
Public 1,207 107 80 211 383 158 113 155
Private 2,724 194 - 2,279 184 - 67 -
SY 2006-2007
Total 4,589 324 86 3,133 516 164 190 176
Public 1,263 138 86 211 362 164 126 176
Private 3,326 186 - 2,922 154 - 64 -
10 - 29
Table 10.11
ENROLMENT IN TECHNICAL VOCATIONAL INSTITUTIONS BY PROVINCE AND GENDER
2008 - 2017
Baguio Mt.
Year CAR Abra Apayao Benguet Ifugao Kalinga
City Province
2008
Male 5,273 428 13 3,163 192 155 278 1,044
Female 5,379 30 28 3,837 725 237 515 7
Total 10,652 458 41 7,000 917 392 793 1,051
2009
Male 10,295 512 152 … 7,250 420 337 1,624
Female 12,808 488 124 … 9,673 518 505 1,500
Total 23,103 1,000 276 … 16,923 938 842 3,124
2010
Male 6,704 280 40 … 5,038 98 390 858
Female 6,235 220 18 … 4,589 115 400 893
Total 12,939 500 68 … 9,627 213 790 1,751
2011
Male 1,430 1,430 595 … 1,169 750 1,734 3,120
Female 1,876 1,876 1,067 … 4,937 1,577 2,524 2,128
Total 3,306 3,306 1,662 … 6,106 2,327 4,258 5,248
2012
Male 18,795 1,097 359 … 13,234 1,371 1,687 1,047
Female 13,257 315 19 … 11,374 407 791 351
Total 32,052 1,412 378 … 24,608 1,778 2,478 1,398
2013
Male 17,675 2,068 42 8,912 1,817 1,863 1,788 1,185
Female 12,855 764 2 8,486 1,923 458 739 483
Total 30,530 2,832 44 17,398 3,740 2,321 2,527 1,668
2014
Male … … … … … … … …
Female … … … … … … … …
Total … … … … … … … …
2015
Male 24,558 2,151 637 10,124 4,494 2,816 2,454 1,882
Female 22,836 1,197 356 11,002 3,562 3,383 1,564 1,772
Total 47,394 3,348 993 21,126 8,056 6,199 4,018 3,654
2016
Male 24,636 2,312 1,313 6,304 6,267 2,630 3,069 2,741
Female 26,944 3,014 2,080 6,769 6,231 2,833 2,940 3,077
Total 51,580 5,326 3,393 13,073 12,498 5,463 6,009 5,818
2017
Male 22,203 2,767 1,308 5,116 6,113 2,236 2,698 1,965
Female 25,098 2,687 1,207 5,615 7,406 2,471 3,206 2,506
Total 47,301 5,454 2,515 10,731 13,519 4,707 5,904 4,471
Notes:
(1) Technical Vocational Institution (TVI) is a school or training center that offers technical vocational
course or Qualification in accordance with Training Regulations whose courses/qualifications
are registered under the TESDA Unified TVET Program Registration and Accreditation System.
(2) Qualification refers to the group of competencies that describes the different functions of the
qualification; popularly known a tech-voc course or program.
(3) Benguet data for 2003 to 2007, 2009 to 2012 include Baguio City.
Source: Technical Education and Skills Development Authority - CAR
10 - 30
Table 10.12
GRADUATES IN TECHNICAL VOCATIONAL INSTITUTIONS BY PROVINCE AND GENDER
2008 - 2017
Baguio Mt.
Year CAR Abra Apayao Benguet Ifugao Kalinga
City Province
2008
Male 5,273 428 13 3,163 192 155 278 1,044
Female 5,379 30 28 3,837 725 237 515 7
Total 10,652 458 41 7,000 917 392 793 1,051
2009
Male 10,295 512 152 … 7,250 420 337 1,624
Female 12,808 488 124 … 9,673 518 505 1,500
Total 23,103 1,000 276 … 16,923 938 842 3,124
2010
Male 6,704 280 40 … 5,038 98 390 858
Female 6,235 220 18 … 4,589 115 400 893
Total 12,939 500 68 … 9,627 213 790 1,751
2011
Male 10,547 155 60 … 9,142 436 399 355
Female 8,471 313 72 … 6,322 762 528 474
Total 19,018 468 132 … 1,198 1,198 927 829
2012
Male 16,128 809 305 … 11,386 928 1,715 985
Female 13,345 300 28 … 11,379 238 952 448
Total 29,473 1,109 333 … 22,765 1,166 2,667 1,433
2013
Male 15,383 1,542 117 7,961 1,677 1,503 1,584 999
Female 11,102 453 7 7,460 1,680 286 835 381
Total 26,485 1,995 124 15,421 3,357 1,789 2,419 1,380
2014
Male … … … … … … … …
Female … … … … … … … …
Total … … … … … … … …
2015
Male 21,209 2,041 452 8,381 4,268 2,528 2,104 1,435
Female 20,083 1,106 204 9,608 3,167 3,168 1,401 1,429
Total 41,292 3,147 656 17,989 7,435 5,696 3,505 2,864
2016
Male 24,432 2,297 1,304 6,231 6,243 2,589 3,044 2,724
Female 26,175 3,005 2,073 6,073 6,194 2,834 2,927 3,069
Total 50,607 5,302 3,377 12,304 12,437 5,423 5,971 5,793
2017
Male 22,182 2,756 1,381 5,087 6,073 2,234 2,688 1,963
Female 25,128 2,686 1,290 5,586 7,390 2,470 3,202 2,504
Total 47,310 5,442 2,671 10,673 13,463 4,704 5,890 4,467
Notes:
(1) Technical Vocational Institution (TVI) is a school or training center that offers technical vocational
course or Qualification in accordance with Training Regulations whose courses/qualifications
are registered under the TESDA Unified TVET Program Registration and Accreditation System.
(2) Qualification refers to the group of competencies that describes the different functions of the
qualification; popularly known a tech-voc course or program.
(3) Benguet data for 2003 to 2007, 2009 to 2012 include Baguio City.
10 - 31
Table 10.13A
ASSESSED AND CERTIFIED TECH-VOC STUDENTS BY PROVINCE
2012 - 2017
2012 2013 2014

Province
Assessed Certified Assessed Certified Assessed Certified
CAR 25,712 21,243 35,156 29,481 … …
Abra 1,565 1,466 3,428 3,100 … …

Apayao 955 770 2,638 2,272 … …
Baguio 10,588 8,146 10,558 8,480 … …
Benguet 5,301 4,663 8,789 7,839 … …
Ifugao 2,082 1,692 2,950 2,442 … …
Kalinga 2,627 2,218 4,280 3,544 … …
Mt. Province 2,594 2,288 2,513 1,804 … …
Table 10.13B
ASSESSED AND CERTIFIED TECH-VOC STUDENTS BY SECTOR, CAR
2012 - 2017
2012 2013 2014

Sector
Agri-fishery 384 367 245 240 … …

Automotive 2,059 1,675 4,751 3,955 … …
Construction 3,303 2,927 3,798 3,334 … …
Electronics 907 763 1,453 1,084 … …
Furniture & Finishings 57 56 0 0 … …
Garments 233 210 615 520 … …
Health and Others 2,864 2,433 6,374 5,449 … …
Heating, Ventilation & Air 2 2 0
Conditioning … …
Information & Communications 1,868 989 1,392 661
Technology … …
Land Transport 3,846 3,385 2,436 1,972 … …
Metals and Engineering 1,803 1,601 2,190 2,245 … …
Processed Foods 777 728 852 801 … …
Tourism 7,609 6,107 11,050 9,220 … …
Utilities - - - - … …
TVET … … … … … …
Social, Community Development
and Other Services … … … … … …
Total 25,712 21,243 35,156 29,481 … …
10 - 32
2015 2016 2017

Province
CAR 29,721 25,698 35,652 31,945 33,033 29,767
Abra 2,419 2,237 2,589 2,519 3,792 3,533

Apayao 616 540 635 562 637 587
Baguio 8,475 7,079 14,109 12,328 15,312 13,375
Benguet 8,851 7,231 8,302 7,254 3,283 3,038
Ifugao 2,453 2,027 2,888 2,647 3,302 3,095
Kalinga 4,497 4,268 4,402 4,067 3,772 3,419
Mt. Province 2,410 2,316 2,727 2,568 2,935 2,720
2015 2016 2017

Sector
Agri-fishery 798 791 878 850 1,865 1,777

Automotive 2,381 2,010 7,848 7,177 5,281 4,964
Construction 3,120 2,796 4,046 3,755 3,959 3,661
Electronics 916 819 1,763 1,522 2,604 2,027
Furniture & Finishings 0 0 4 4 38 37
Garments 550 491 614 568 492 442
Health and Others 10,268 8,316 1,288 1,152 2,435 2,241
Heating, Ventilation & Air 0 9 9
Conditioning - -
Information & Communications 187 151 754 603
Technology 146 110
Land Transport 3,154 2,904 … … … …
Metals and Engineering 993 920 2,899 2,766 2,742 2,580
Processed Foods 579 513 618 591 243 237
Tourism 6,775 6,134 11,845 10,256 10,909 9,833
Utilities 0 362 … … … …
TVET … … - - 18 2
Social, Community Development
and Other Services … … 3,086 2,692 2,301 1,856
Total 29,721 26,207 35,652 31,945 33,033 29,767
10 - 33
Figure 10.1: Enrolment in Public and Private Secondary Schools in
CAR, SY 2005-2006 to SY 2016-2017
Public Secondary Private Secondary

107681 Public P
Private P
92317 93731 Public E
89,337 90,794
87,352 87,005 86,711 86,817 88,433 88,433
Private E
80,431 Public S
Private S
Public T
Private T
44514
33,721 35,166 35,031 33,602 34,005 23,653 34,942 34624 34324

31,697 32,974
Figure 10.2: Enrolment in Public and Private Elementary Schools in

CAR, SY 2005-2006 to SY 2016-2017
Public Elementary Private Elementary

215,647 217,286 216,495 215,480 215,366 213347
209,520 210,508 210,482 212,531 210594
205679
22,823 23,784 23,110 23,653 23,653 24,150 24272 23423 22091

20,133 20,021 21,019
10 - 34
Chapter 11
LABOR & EMPLOYMENT
Data on labor and employment are critical inputs in the formulation of policies aimed at
providing adequate employment opportunities and productive activities to the country’s
labor force. The labor force is the backbone of the economy. This single factor alone,
speaks of a vital sector that plays a crucial role in the development of the nation and the
upliftment of the economic well-being of the people. Data on the situation obtaining in
the workplace are also necessary in enhancing the policies and programs of
government towards promoting harmonious labor relations and productivity. The
generation of adequate, timely, and reliable data is an imperative need of the
formulators and implementers of our laws, policies and decisions.
This chapter presents data on the number and employment status of labor force at the
regional and provincial levels. On employed persons, the data presented include the
number of hours worked, the major industry and occupation group, and class of worker.
On unemployed persons, on the other hand, the data contained in this chapter include
the highest grade completed. The chapter also presents data on labor relations and
unions/labor organizations and collective bargaining agreement, and labor cases
handled. The basic sources of data are the Philippine Statistics Authority (PSA) and the
National Labor Relations Commission (NLRC). The PSA generates the data on the labor
force and its employment status using the results of its quarterly Labor Force Survey.
Meanwhile, NLRC are the sources of data on labor relations and welfare using the
various publications released regularly by the bureau and reporting system of the
commission.
HIGHLIGHTS
• Of the 799 thousand persons in the labor force in October 2017, 769 thousand or
96.3 percent were employed.
• Almost half (42.1%) of employed persons in CAR were in the Agriculture, Fishing
and Forestry Industry group during the period.
11 - 1
Table 11.1 Labor Force and Employment Status of Household Population 15 Years 11-3
and Over by Sex and Province, CAR: October Round, 2005 - 2017
Table 11.2 Labor Force and Employment Status of Household Population 15 Years 11-5
and Over by Province, Urban-Rural, CAR: October Round, 1997-2002
Table 11.3 Employed Persons and Mean Hours Worked by Sex and Class of Worker, 11-7
CAR, 2015 - 2017
Table 11.4 Employed Persons by Sex and Major Industry Group, CAR, 2012 – 2017 11-10
Table 11.5A Employed Persons by Major Occupation Group by Sex, CAR, 2006 - 2017 11-16
Table 11.5B Employed Persons by Major Occupation Group by Sex, CAR, 2016 - 2017 11-21
Table 11.6 Unemployed Persons by Highest Grade Completed and Sex, CAR, 11-22
2004-2006
Table 11.7 Strike/Lockout Notices Handled, Filed, Disposed, Disposition Rate 11-23
and Workers Involved in CAR: 2012-2016
Table 11.8A Number of Existing Workers’ Association by Region, 2013 - 2017 11-25
Table 11.8B Membership of Existing Workers’ Association by Region, 2013 - 2017 11-25
Table 11.9A Collective Bargaining Agreement (CBA), Newly Filed, 2009 - 2013 11-27
Table 11.9B Collective Bargaining Agreement (CBA), Workers Covered, 2009 - 2013 11-27
Figure 11.1 Household Population 15 Years Old and Over by Sex, CAR 11-23
October Round, 2003-2017
Figure 11.2 Household Population 15 Years & Over in the Labor Force by Sex, CAR 11-24
Figure 11.3 Employed Persons 15 Years Old and Over by Sex, CAR 11-24
Figure 11.4 Unemployed Persons 15 Years Old and Over by Sex, CAR 11-26
11 - 2
Table 11.1
LABOR FORCE AND EMPLOYMENT STATUS OF HOUSEHOLD POPULATION 15 YEARS
AND OVER BY SEX AND PROVINCE
(In Thousands)
Area/ 2005 2006

Employment Status Total Female Male Total Female Male
CAR
Total 15 Years Old and Over Population 1,014 498 516 1,045 514 531
225 123
In the Labor Force 666 273 393 689 278 411
Employed 629 259 370 656 266 390
Unemployed 37 14 23 33 12 21
Area/ 2007 2008

CAR
218 116
Employed 662 274 387 678 288 390
Unemployed 29 11 18 28 8 20
Area/ 2009 2010

CAR

Employed 660 263 398 711 285 426
Unemployed 36 13 23 33 16 17
Area/ 2011 2012

CAR
Total 15 Years Old and Over Population 1,128 549 579 1133 552 581

Employed 755 310 445 714 285 429
Unemployed 38 15 23 44 18 26
11 - 3
LABOR FORCE AND EMPLOYMENT STATUS OF HOUSEHOLD POPULATION 15 YEARS
AND OVER BY SEX AND PROVINCE
(In Thousands)
Area/ 2013 2014

CAR
Total 15 Years Old and Over Population 1151 561 590 1175 576 599

Employed 726 287 439 741 303 438
Unemployed 28 11 18 44 17 27
Area/ 2015 2016

CAR
Total 15 Years Old and Over Population 1188 579 609 1211 589 622

Employed 759 308 451 764 305 459
Unemployed 38 17 21 35 17 19
Area/ 2017
Employment Status Total Female Male
CAR
Total 15 Years Old and Over Population 1243 641 602
In the Labor Force 799 317 481

Employed 769 305 464
Unemployed 29 12 17
11 - 4
Table 11.2
LABOR FORCE AND EMPLOYMENT STATUS OF HOUSEHOLD POPULATION 15 YEARS AND
OVER BY PROVINCE, URBAN-RURAL
(In Thousands)
Area/ 1997 1998 1999

Employment Status Total Urban Rural Total Urban Rural Total Urban Rural
CAR
Total 15 Years Old and Over Pop'n 856 259 597 876 263 613 897 268 630
In the Labor Force 569 151 418 586 154 432 602 157 447
Employed 530 138 392 535 134 401 563 144 420
Unemployed 39 13 26 51 20 31 39 13 27
Abra

Employed 86 18 68 87 17 70 92 17 76
Unemployed 4 2 2 9 2 7 7 3 4
Apayao
Employed 41 4 37 40 4 36 49 5 44
Unemployed 5 * 5 13 1 12 5 - 5
Benguet
Employed 209 94 115 207 90 117 219 98 121
Unemployed 18 10 8 19 15 4 18 9 9
Ifugao

Employed 62 7 55 71 7 64 70 8 62
Unemployed 4 * 4 4 1 3 3 1 3
Kalinga

Employed 67 13 54 68 13 55 67 12 54
Unemployed 6 1 5 5 1 4 4 * 4
Mountain Province

Employed 65 2 63 62 3 59 66 4 63
Unemployed 2 * 2 1 * 1 2 * 2
* Data less than 500
Notes: 1. Data are based on the October round of the Labor Force Survey.
2. Provincial disaggregation was no longer applied since 2003.
3. Urban and rural classification was no longer applied starting with the July 2003 of the LFS.
4. Details may not add up to totals due to rounding.
11 - 5
Area/ 2000 2001 2002

Employment Status Total Urban Rural Total Urban Rural Total Urban Rural
CAR 893 332

Employed 518 138 379 561 158 403 559 163 396
Unemployed 40 23 16 37 21 16 46 22 24
Abra

Employed 77 12 65 86 15 71 86 15 71
Unemployed 6 3 4 5 2 3 7 3 4
Apayao
Employed 37 3 34 42 4 38 39 4 35
Unemployed 2 - 1 2 1 1 1 * 1
Benguet
Employed 199 101 98 218 117 101 220 121 99
Unemployed 24 19 5 20 16 4 25 17 8
Ifugao

Employed 69 7 61 75 8 67 72 8 64
Unemployed 5 1 3 5 1 4 4 1 3
Kalinga

Employed 64 12 52 68 11 57 68 12 56
Unemployed 1 - 1 2 1 1 4 1 4
Mountain Province

Employed 72 3 69 72 3 69 75 3 72
Unemployed 2 - 2 3 - 3 5 * 5
11 - 6
Table 11.3
EMPLOYED PERSONS AND MEAN HOURS WORKED BY SEX AND CLASS OF WORKER IN CAR
2015-2017
(No. of Persons in Thousands)
2015
Area/Sex/ Average January April July October
Class of Worker No. Mean No. Mean No. Mean No. Mean No. Mean
of Hrs. of Hrs. of Hrs. of Hrs. of Hrs.
Pers. Work. Pers. Work. Pers. Work. Pers. Work. Pers. Work.
Both Sexes 759 40 749 39 778 39 750 42 758 42
Wage and Salary Workers 324 330 367 334
Worked for Private Household a/ 305 254 280 258

Worked for Government b/ 76 74 86 76
Own-Account Workers * 2 1 *
Self-Employed 249 240 222 231

Employer 13 20 22 20
Unpaid Family Worker 163 189 140 172
Female 308 39 307 37 319 38 298 41 307 42

Own-Account Workers * 1 - -
Employer 4 2 6 3
Male 451 41 442 40 459 40 452 43 450 42

Own-Account Workers - 1 1 *

Employer 9 18 15 18

a/ Including those who worked for private establishments and family-operated activity
b/ Including workers of government-owned and controlled corporations
11 - 7
Table 11.3
2015-2017
2016
Both Sexes 764 40.6 765 42 766 40 758 41 767 39

Own-Account Workers 2 1 1 1

Female 306 39.5 307 41 309 39 295 40 311 39

Own-Account Workers 1 * * *
Employer 5 4 3 5
Male 459 41.3 458 43 457 41 463 42 456 40

Own-Account Workers 2 1 1 *

11 - 8
Table 11.3
2015-2017
2017
Both Sexes 745 41.3 698 41 737 41 775 41 769 42


Female 293 40.4 273 40 281 41 312 40 305 41

Own-Account Workers * * - 1
Employer 7 10 8 10
Male 452 41.9 425 41 455 42 463 42 464 42


11 - 9
Table 11.4
EMPLOYED PERSONS BY SEX AND MAJOR INDUSTRY GROUP IN CAR
2012-2017
(In Thousands)
Area/Sex 2012
Major Industry Group 1/ Jan Apr Jul Oct
Both Sexes 733 733 730 714
Agriculture and forestry 349 353 348 351
Fishing and aquaculture * 1 1 1
Mining and quarrying 21 27 28 26
Manufacturing 20 26 17 15
Electricity, gas, steam and air conditioning supply 2 2 4 3
Water supply; sewerage, waste management and remediation activities 1 1 1 1
Construction 43 42 43 36
Wholesale and retail; repair of motor vehicles and motorcycle 88 93 83 92
Transport,and storage 33 32 30 28
Acommodation and food service activities 26 23 23 21
Information and communication 5 5 7 6
Financial and insurance activities 7 3 3 4
Real estate activities 2 2 2 1
Professional, scientific and technical activities 3 1 2 3
Administrative and support service activities 13 17 13 13
Public administration and defense; Compulsary social services 42 50 54 43
Education 36 25 31 30
Human health and social work activities 7 6 9 12
Arts, entertainment and recreation 2 2 4 3
Other service activities 26 19 19 19
Activities of household as employee; undifferentiated goods and services 6 3 8 6
producing activities of households for own use
Activities of extraterritorial organizations and bodies * - - -
Female 296 295 299 285
Fishing and aquaculture * - 1 *
Electricity, gas, steam and air conditioning supply 1 * * 1
Water supply; sewerage, waste management and remediation activities * - - 1
Construction * 2 * 1
Transport,and storage * * 1 1
Professional, scientific and technical activities 1 * * *
Arts, entertainment and recreation 1 1 1 *
Activities of extraterritorial organizations and bodies - - - -
Male 437 438 431 429
Fishing and aquaculture * 1 * 1
Real estate activities 1 1 1 *
Education 10 8 7 8
Activities of household as employee; undifferentiated goods and services * * * *
11 - 10
2012-2017
(In Thousands)
Area/Sex 2013
Both Sexes 724 763 728 726
Fishing and aquaculture 2 1 1 2
Female 296 308 299 294
Fishing and aquaculture * - 1 1
Electricity, gas, steam and air conditioning supply * - * *
Water supply; sewerage, waste management and remediation activities - * - 1
Construction * 2 * *
Real estate activities * * 1 1
Professional, scientific and technical activities 1 2 * 1
Arts, entertainment and recreation 1 - 1 *
producing activities of households for own use 0
Male 428 455 434 439
Water supply; sewerage, waste management and remediation activities 1 1 1 *
Real estate activities * * * 1
Education 9 6 9 9
11 - 11
2012-2017
(In Thousands)
Area/Sex 2014
Both Sexes 707 767 749 741
Fishing and aquaculture 1 * * 1
Water supply; sewerage, waste management and remediation activities 2 2 * 1
Female 283 318 304 303
Fishing and aquaculture - - - -
Electricity, gas, steam and air conditioning supply 1 1 * *
Water supply; sewerage, waste management and remediation activities 1 1 * *
Transport,and storage * 1 1 1
Real estate activities 1 * 1 1
Male 424 450 444 438
Fishing and aquaculture 1 * * 1
Real estate activities - * 1 1
Education 7 7 7 9
Activities of household as employee; undifferentiated goods and services 1 * 1 1
11 - 12
2012-2017
(In Thousands)
Area/Sex 2015
Both Sexes 749 778 750 758
Fishing and aquaculture 1 2 1 *
Real estate activities 2 * 1 *
Activities of household as employee; undifferentiated goods and services 7 6 - -
Female 307 319 298 307
Fishing and aquaculture * * - -
Mining and quarrying 1 2 1 *
Electricity, gas, steam and air conditioning supply * * * -
Water supply; sewerage, waste management and remediation activities 1 - * -
Transport,and storage 1 * 1 1
Information and communication 2 * 2 1
Real estate activities 2 * * *
Activities of household as employee; undifferentiated goods and services 6 6 - -
Male 442 459 452 450
Fishing and aquaculture 1 2 1 *
Real estate activities 1 - 1 *
Education 7 8 8 6
Activities of household as employee; undifferentiated goods and services 1 - - -
11 - 13
2012-2017
(In Thousands)
Area/Sex 2016
Both Sexes 765 766 758 767
Activities of household as employee; undifferentiated goods and services - - 1 -
Activities of extraterritorial organizations and bodies - * - -
Female 307 309 295 311
Fishing and aquaculture * * * *
Mining and quarrying 2 1 2 *
Electricity, gas, steam and air conditioning supply * * * *
Water supply; sewerage, waste management and remediation activities * * * -
Construction - 1 1 2
Transport,and storage - 1 1 1
Real estate activities 1 1 * 1
Arts, entertainment and recreation 2 2 * 1
Activities of household as employee; undifferentiated goods and services - - 1 -
Activities of extraterritorial organizations and bodies - * - -
Male 458 457 463 456
Water supply; sewerage, waste management and remediation activities * 1 * 1
Financial and insurance activities 1 2 3 *
Real estate activities * 1 1 1
Education 9 7 9 9
Activities of household as employee; undifferentiated goods and services - - - -
11 - 14
2012-2017
(In Thousands)
Area/Sex 2017
Both Sexes 698 737 775 769
Fishing and aquaculture * 3 1 4
Female 273 281 312 305
Fishing and aquaculture * * * 1
Electricity, gas, steam and air conditioning supply - - - -
Water supply; sewerage, waste management and remediation activities * - 1 *
Wholesale and retail; repair of motor vehicles and motorcycle 53 64 -
Male 425 455 463 464
Education 8 8 7 8
11 - 15
Table 11.5
EMPLOYED PERSONS BY MAJOR OCCUPATION GROUP BY SEX
2006-2016
(In Thousands)
Sex/ 2007 2008

Major Occupational Group 1/ Jan Apr Jul Oct Jan Apr Jul Oct
Both Sexes 659 676 653 658 678 647 669 675
Officials of Government and Special Interest Org. 2/ 60 60 65 60 68 50 62 55

Professionals 40 41 38 42 39 40 35 41
Technicians and Associate Professionals 16 19 16 16 15 13 17 17
Clerks 16 20 21 25 25 19 20 26
Service Workers and Shop and Market Sales Workers 44 41 38 40 42 31 42 40
Farmers, Forestry Workers and Fishermen 164 161 161 161 164 169 171 171
Trades and Related Workers 35 42 31 38 40 38 40 43
Plant and Machine Operators and Assemblers 31 28 28 27 29 26 23 28
Laborers and Unskilled Workers 249 259 250 247 252 257 256 252
Special Occupations 5 5 5 1 4 5 4 3
Female 276 283 268 270 288 262 268 270

Professionals 29 29 25 28 26 28 24 61
Clerks 10 12 13 18 15 12 11 47
Special Occupations - - - … - * * 1
Male 383 394 384 388 390 385 402 405

Professionals 11 13 13 14 13 12 11 28
Clerks 6 8 8 7 10 6 9 11
Special Occupations 5 5 - 1 4 4 4 5
11 - 16
2006-2016
(In Thousands)
Sex/ 2009 2010

Both Sexes 677 685 693 660 701 699 716 711

Professionals 40 40 31 42 33 37 40 43
Clerks 22 21 24 22 23 26 26 22
Female 280 286 280 263 283 292 293 285

Professionals 27 28 21 29 24 25 27 30
Clerks 14 14 14 15 14 16 18 15
Special Occupations - - - - - - 1 -
Male 398 399 413 398 418 406 424 426

Professionals 13 12 11 14 9 12 13 13
Clerks 8 7 10 7 10 10 8 7
11 - 17
2006-2015
(In Thousands)
Sex/ 2011 2012

Both Sexes 706 721 737 755 733 733 730 714

Professionals 41 40 41 42 42 39 38 43
Clerks 23 24 25 27 27 29 27 24
Female 281 285 304 310 296 295 299 285

Professionals 27 27 26 29 28 25 27 28
Clerks 15 15 18 19 17 21 18 15
Special Occupations - - - - * * - *
Male 425 436 433 445 437 438 431 429

Professionals 15 13 15 13 13 14 12 15
Clerks 8 8 7 8 9 8 9 8
11 - 18
2006-2016
(In Thousands)
Sex/ 2013 2014

Both Sexes 724 763 728 726 707 767 749 741

Professionals 44 36 43 36 38 37 45 45
Clerks 24 29 31 27 26 34 37 33
Female 296 308 294 287 283 318 304 303

Professionals 28 24 28 24 26 24 29 31
Clerks 15 18 19 17 19 23 22 22
Special Occupations - - - * 0 * * *
Male 428 455 434 439 424 450 444 438

Professionals 16 11 15 12 53 13 16 14
Clerks 9 11 12 10 7 11 15 12
11 - 19
2006-2016
(In Thousands)
Sex/ 2015 2016

Major Occupational Group 1/ Jan Apr Jul Oct Jan
Both Sexes 749 778 750 758 765
Officials of Government and Special Interest Org. 2/ 107 100 84 96 104

Professionals 46 42 40 44 44
Technicians and Associate Professionals 22 18 27 23 29
Clerks 31 32 39 33 34
Service Workers and Shop and Market Sales Workers 60 65 68 68 65
Farmers, Forestry Workers and Fishermen 161 165 167 163 161
Trades and Related Workers 39 35 39 39 46
Plant and Machine Operators and Assemblers 22 21 20 24 22
Laborers and Unskilled Workers 258 296 261 264 255
Special Occupations 3 3 4 5 5
Female 307 319 298 307 307

Clerks 21 22 28 21 22
Special Occupations 0 0 0 * *
Male 442 459 452 450 458

Clerks 10 10 11 12 12
Special Occupations 3 3 4 5 4
11 - 20
Table 11.5
2016-2017
(In Thousands)
Sex/ 2016
1/
Major Occupational Group Apr Jul Oct
Both Sexes 766 758 767
Managers 96 100 92
Professionals 51 52 57
Technicians and associate professionals 22 22 17
Clerical support workers 31 32 27
Service and sales workers 77 75 79
Skilled agricultural, forestry, and fishery workers 173 158 174
Craft and related trades workers 37 37 36
Plant and machine operators and assemblers 50 49 41
Elementary occupations 228 229 240
Armed forces occupations 3 5 4
Female 309 295 456
Managers 50 51 45
Armed forces occupations - - 4
Male 457 463 311
Managers 45 49 48
Armed forces occupations 3 5 *
1/ The 2012 Philippine Standard Occupational Classification (PSOC) was adopted starting April 2016.
* Less than 500
11 - 21
Table 11.5 continued
2016-2017
(In Thousands)
Sex/ 2017
1/
Major Occupational Group Jan Apr Jul Oct
Both Sexes 698 737 775 769
Managers 75 95 87 105
Professionals 62 55 57 55
Technicians and associate professionals 20 24 25 27
Clerical support workers 29 30 31 26
Service and sales workers 68 75 81 80
Skilled agricultural, forestry, and fishery workers 183 190 185 175
Craft and related trades workers 33 38 34 38
Plant and machine operators and assemblers 40 37 33 33
Elementary occupations 182 187 240 228
Armed forces occupations 5 4 2 3
Female 273 281 312 305
Managers 39 53 50 61
Armed forces occupations * * * *
Male 425 455 463 464
Managers 35 43 37 44
Armed forces occupations 5 3 2 3
1/ The 2012 Philippine Standard Occupational Classification (PSOC) was adopted starting April 2016.
* Less than 500
11 - 22
Table 11.6
UNEMPLOYED PERSONS BY HIGHEST GRADE COMPLETED AND SEX
2004-2006
(In Thousands)
Sex/ 2004 2005 2006

Highest Grade Completed Jan Apr Jul Oct Jan Apr Jul Oct Jan Apr Jul Oct
Both Sexes 46 72 68 61 61 35 31 37 36 37 8 32
No Grade Completed 2 2 3 4 3 1 * * * - * *
Elementary 10 13 14 12 11 3 3 6 5 4 4 3
Grade 1-5 6 7 7 6 6 1 2 3 2 2 2 1
Graduate 4 6 7 6 5 3 2 3 3 2 2 2
High School 12 22 19 18 17 11 9 11 11 10 14 7
1st to 3rd Year 4 10 6 6 5 4 3 4 3 3 4 2
Graduate 8 12 13 12 12 7 6 7 8 7 10 5
College 22 36 33 27 30 21 19 20 20 23 18 22
Undergraduate 6 15 12 10 10 8 6 9 7 10 7 9
Graduate and Higher 16 21 21 17 20 13 13 11 13 13 11 13
Not Reported - - - - - - - - - - -
Female 17 29 24 24 22 12 13 14 12 15 12 12
No Grade Completed 1 2 1 2 1 * - - - - * *
Elementary 2 4 4 4 4 - 1 2 1 * * 1
Grade 1-5 1 2 2 2 2 - 1 1 * * * 1
Graduate 1 2 2 2 2 * * 1 1 * * *
High School 4 8 4 6 4 3 3 3 3 4 3 1
1st to 3rd Year 2 4 1 2 1 1 1 1 1 1 1 *
Graduate 2 4 3 4 3 2 2 2 2 3 2 1
College 10 17 16 12 13 9 9 10 8 11 8 8
Undergraduate 2 6 5 3 2 3 2 3 2 3 2 2
Not Reported - - - - - - - - - - - -
Male 29 43 44 37 39 23 18 22 24 21 26 21
No Grade Completed 1 * 2 2 2 * * * * - * -
Elementary 8 9 10 8 7 3 2 4 3 3 4 2
Grade 1-5 5 5 5 4 4 1 1 2 1 1 2 1
Graduate 3 4 5 4 3 2 1 2 2 2 2 1
High School 9 14 15 12 12 8 6 8 8 7 11 5
1st to 3rd Year 3 6 5 4 3 3 2 3 2 2 3 1
Graduate 6 8 10 8 9 5 4 5 6 5 8 4
College 11 19 17 16 16 12 10 10 11 12 11 13
Undergraduate 4 9 7 7 7 5 4 6 4 7 5 6
Not Reported - - - - - - - - - - - -
* Data less than 500
11 - 23
Table 11.7
STRIKE/LOCKOUT NOTICES HANDLED, FILED, DISPOSED, DISPOSITION RATE AND
WORKERS INVOLVED IN CAR: 2012 - 2016
INDICATOR 2012 2013 2014 2015 2016
Strike/Lockout Notices Handled 1 - - 2 -
New Strike/Lockout Notices Filed 1 - - 2 -
Cases Disposed 1 - - 2 -
Materialized into Actual Strike/Lockout - - - - -
Settlement Rate (%) 100 - - 100 -
Disposition Rate (%) 100 - - 100 -
Workers Involved 140 - - 1725 -
Source: National Conciliation and Mediation Board
Fig 11.1 Household Population 15 Years Old and Over by Sex,

CAR October Round, 2003 - 2017
650
600
In Thousands
550
500
450
400
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Year
11 - 21
Fig 11.2 Household Population 15 Years Old and Over in the
Labor Force by Sex, CAR October Round, 2003-2017
500
450
400
In Thousands
350
300
250
200
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Year
Fig 11.3 Employed Persons 15 Years Old and Over by Sex, CAR
500
450
400
In Thousands
350
300
250
200
150
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Year
11 - 22
Table 11.8A
NUMBER OF EXISTING WORKERS' ASSOCIATION BY REGION
2013 - 2017
Region 2013 2014 2015 2016 2017
PHILIPPINES 34,283 39,166 45,882 52,332 58,613
NCR Metro Manila 327 335 352 363 376

CAR Cordillera Administrative Region 2,894 3,722 4,374 4,972 5,667
I Ilocos 2,617 2,994 3,377 3,604 3,777
II Cagayan Valley 1,548 1,548 1,548 1,548 1,549
III Central Luzon 1,299 1,657 2,153 2,728 3,131
IVA CALABARZON 458 820 1,257 1,655 2,081
IVB MIMAROPA 1,025 1,636 2,409 2,641 3,046
V Bicol 1,867 2,291 2,680 3,041 3,458
VI Western Visayas 3,234 3,802 4,120 5,178 5,454
VII Central Visayas 2,334 2,334 2,333 2,333 2,333
VIII Eastern Visayas 3,416 4,242 6,152 7,607 9,337
IX Zamboanga Peninsula 2,776 2,776 3,346 3,989 4,696
X Northern Mindanao 4,362 4,362 4,362 4,362 4,362
XI Davao Region 2,008 2,529 3,026 3,659 4,424
XII SOCCSKSARGEN 1,476 1,476 1,476 1,476 1,476
XIII Caraga 2,492 2,492 2,767 3,026 3,296
ARMM Autonomous Region in Muslim Mindanao 150 150 150 150 150
Note: Workers' Association is any association of workers organized for the mutual aid and protection of its member
or for any legitimate purpose other than collective bargaining.
Source: Bureau of Labor Relations
Table 11.8B
MEMBERSHIP OF EXISTING WORKERS' ASSOCIATION BY REGION
2013 - 2017
Region 2013 2014 2015 2016 2016
PHILIPPINES 1,346,441 1,560,669 1,857,779 2,654,152 2,910,787
NCR Metro Manila 11,976 12,419 13,267 13,776 14,179

CAR Cordillera Administrative Region 138,250 177,265 209,003 685,262 715,998
I Ilocos 107,116 122,654 141,106 150,739 158,497
II Cagayan Valley 49,591 49,591 49,601 49,341 49,361
IVA CALABARZON 27,577 46,588 74,674 130,289 152,694
IVB MIMAROPA 43,435 67,805 98,650 116,515 137,839
V Bicol 69,073 85,247 100,698 112,860 128,744
VI Western Visayas 121,720 143,684 159,752 240,599 251,947
VIII Eastern Visayas 118,813 151,239 232,638 290,639 354,642
IX Zamboanga Peninsula 78,645 78,645 95,762 113,832 133,314
XI Davao Region 82,011 106,672 131,011 156,504 194,920
XII SOCCSKSARGEN 51,021 51,021 51,021 47,986 47,986
XIII Caraga 92,721 92,721 105,780 130,629 140,313
ARMM Autonomous Region in Muslim Mindanao 3,348 3,348 3,348 3,348 3,348
Note: Workers' Association is any association of workers organized for the mutual aid and protection of its member
or for any legitimate purpose other than collective bargaining.
Source: Bureau of Labor Relations
11 - 23
Figure 11.4 Unemployed Persons 15 Years Old and Over by Sex,
CAR, October Round, 2003-2017
40
In Thousands
35
30
25
20
15
10
0
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Year
11 - 24
Table 11.9A
COLLECTIVE BARGAINING AGREEMENTS (CBA) IN THE PRIVATE SECTOR, NEWLY FILED
2009-2013
Region 2009 2010 2011 2012 2013a
PHILIPPINES 453 540 475 365 204
NCR Metro Manila 250 318 305 225 116

CAR Cordillera Administrative Region 1 2 2 4 2
I Ilocos 2 5 2 6 2
II Cagayan Valley 2 1 5 - -
III Central Luzon 21 24 23 30 21
IVA CALABARZON 73 30 20 14 8
IVB MIMAROPA - - 1 - -
V Bicol 7 4 7 6 5
VI Western Visayas 23 6 10 2 11
VII Central Visayas 22 48 34 39 16
VIII Eastern Visayas 7 11 5 9 3
IX Zamboanga Peninsula 4 3 2 2 -
X Northern Mindanao 12 24 16 5 4
XI Davao Region 18 46 35 23 12
XII SOCCSKSARGEN 8 11 5 - 4
XIII Caraga 3 5 3 - -
ARMM Autonomous Region in Muslim Mindanao - 2 - - -
Source: Philippine Statistics Authority (Bureau of Labor and Employment Statistics)
Table 11.9B
COLLECTIVE BARGAINING AGREEMENTS (CBA) IN THE PRIVATE SECTOR, WORKERS COVERED
2009-2013
Region 2009 2010 2011 2012 2013a
PHILIPPINES 74,924 87,445 77,944 58,138 29,405
NCR Metro Manila 44,002 49,491 50,751 31,566 18,891

CAR Cordillera Administrative Region 134 2,749 232 4,050 160
I Ilocos 391 493 125 226 152
II Cagayan Valley 197 414 379 - -
IVA CALABARZON 13,170 4,499 1,921 1,736 945
IVB MIMAROPA - - 207 - -
V Bicol 803 554 709 797 210
VI Western Visayas 2,645 966 525 304 1,030
VIII Eastern Visayas 299 2,291 142 1,855 417
IX Zamboanga Peninsula 119 260 222 249 -
XI Davao Region 2,495 6,569 10,088 5,104 1,672
XII SOCCSKSARGEN 514 1,744 863 - 227
XIII Caraga 103 342 942 - -
ARMM Autonomous Region in Muslim Mindanao - 50 - - -
Note : a - Data vailable is from January to June 2013 only
Source: Bureau of Labor Relations, Statistical Performance Reporting System.
11 - 25
Chapter 12
SOCIAL SERVICES
Data on social welfare serve as indicators of the results and impacts of goals, policies
and programs on human development. This universal concern emphasizes people’s
empowerment and the care, protection, and rehabilitation of the disadvantaged and
special sectors of the society. These sectors are the primary target clienteles of our
social welfare policies and programs. The objective is to place the disadvantaged
sectors of the society in the mainstream of productive and economic processes.
Specifically, this entails converting the disadvantaged groups into active agents and
partners in development. In this manner, the fruits of growth and progress will pervade
all sectors of society and disadvantaged sectors will become beneficiaries of
development. The government’s Social Reform Agenda (SRA) redirects the thrust and
focus and widens the target beneficiaries of the package of programs and other
interventions implemented by government, private and non-governmental institutions.
In contribution to the goals of social welfare and development, the generation of data
and relevant indicators is therefore of utmost necessity. The SRA, for one,
underscores the need to strengthen and improve existing systems for generating
data.
This chapter presents data at the regional and/or provincial/city levels on the number
of clients served by the various outreach and service programs of the Department of
Social Welfare and Development (DSWD). DSWD compiles the information based on
its administrative reporting systems. The chapter also contains data on the number of
disabled persons by type of disability. The National Statistics Office processed the
data based on the results of the census of population and housing. Also presented in
the chapter are data on the programs and projects in indigenous cultural communities
implemented by the National Commission for Indigenous Peoples (NCIP).
HIGHLIGHTS
• In 2015, there were 136,061 beneficiary families of the Pantawid Pamilyang

Pilipino Program (4Ps) of the DSWD.
12 - 1
Table 12.1 Outreach Headcount by Clientele and Province/City, 2011 - 2015 12-3
Table 12.2A Number of Disabled Persons by Sex, Type of Disability and Province, 12-9
Census Year 1990
Table 12.2B Number of Disabled Persons by Sex, Type of Disability and Province, 12-11
Census Year 1995
Table 12.2C Number of Disabled Persons by Sex, Type of Disability and Province, 12-13
Census Year 2000
Table 12.3 Programs and Projects in the Cultural Communities, 2012 - 2016 12-15
Table 12.4 Approved Certificates of Ancestral Domain Title, 2008 - 2016 12-18
Table 12.5 Approved Certificates of Ancestral Land Title, 2008 - 2016 12-18
Figure 12.1 Number of Disabled Persons by Sex and Type of Disability, CAR, 2000 12-18
12 – 2
Table 12.1
OUTREACH HEADCOUNT BY CLIENTELE AND PROVINCE/CITY
2011-2015
Area/Clientele 2011 2012 2013 2014 2015
CAR 377,416 581,821 549,701 78,917 469,738

FHONA 1/ 37,350 40,945 5,513 3,160 3,353
served by community-based services 370 2,827 5,513 3,160 3,353
served by LGUs 36,980 38,118 - - -
Women 9,056 18,973 104 14 11
served by regional haven 5 7 - - -
served by community-based services 17 130 104 14 11
served by LGUs 9,034 18,836 - - -
Children 71,727 56,706 1,442 815 482
served by centers and institution 130 2,815 1,267 452 209
served in community-based services 16,247 16,474 175 355 273
served by LGUs 55,350 37,417 - 8 -
Youth 22,781 15,635 141 669 112
served by community-based services 5,231 29 119 669 112
served at reception and rehabilation centers - 6 22 - -
served by LGUs 17,550 15,600 - - -
Persons with Disabilities 9,414 8,858 13 43 22
served by modified conditional cash transfer - 1,641 - - -
served by LGUs 8,826 7,210 - - -
Senior Citizens 41,611 33,894 9,562 453 30,884
katas ng VAT and social pension program 2,201 3,875 9,459 - 30,755
served by LGUs 39,361 29,967 - - -
Others 227,088 440,704 542,488 74,216 465,758
Disaster victims 39,126 3,352 - 10,551 74,481
National Household Targeting System
(NHTS): Households 627 40,382 79,518 63,665 63,069
Feeding Programs: Children 3/ 32,935 40,178 44,745 - 42,599
Pantawid Pamilyang Pilipino Program (4Ps): 67,725 146,563 187,619 - 136,061
> Childen 0-14 years old 45,935 99,630 129,721 - 83,427
> Women 1,011 2,111 - - -
> Families 20,779 44,822 57,898 - 52,634
Self-Employment Assistance and
Sustainable Livelihood Program: Families
1,824 13,937 765 - 4,670
KALAHI-CIDSS, CDDP: Families 5/ 17,117 42,205 42,217 - 8,806
RRPT: Trafficked Persons 6/ 9 7,524 5 - 11
Abra
FHONA 1/ 5,205 2,541 84 374 1,041
served by community-based services 6 7 84 374 1,041
served by LGUs 5,199 2,534 - - -
Notes: 1) FHONA - Disadvantaged Family Heads and Other Needy Adults
2) MEDC- Men In Difficult Circumstances
3) Feeding Programs include School Program, Healthy Start Feeding and Supplementary Feeding
4) Includes Social Pension Program
5) KALAHI - CIDSS, CDDP - Kapit-Bisig Laban sa Kahirapan Comprehensive and Integrated Delivery of
Social Services, Community Driven Development Projects
6) RRTPT - Recovery and Reintegration Program of Trafficked Persons
Source: Department of Social Welfare and Development
12 - 3
2011-2015
Area/Clientele 2011 2012 2013 2014 2015

Women 919 525 9 1 3
served by regional haven - - - - -
served by community-based services - - 9 1 3
served by LGUs 919 525 - - -
Children 8,587 2,792 77 47 34
served by centers and institution 3 77 - -
served in community-based services 3 15 - 47 34
served by LGUs 8,581 2,777 - - -
Youth 3,281 405 - 9 -
served by community-based services 2,372 1 - 9 -
served at reception and rehabilation centers - - - - -
Persons with Disabilities 100 134 - - -
served by community-based services 4 - - - -
served by modified conditional cash transfer - - - - -
Senior Citizens 3,349 2,575 2,861 49 8,574
served by community-based servces 4 3 4 49 -
katas ng VAT and social pension program 749 1,103 2,857 - 8,574
served by LGUs 2,596 1,469 - - -
Others 38,632 67,070 17,227 17,219 79,072
Disaster victims 414 755 - - 19,970
(NHTS): Households - - 17,227 17,219 12,639
Feeding Programs: Children 3/ 6,629 8,844 - - 9,854
Pantawid Pamilyang Pilipino Program (4Ps):
- - -
> Childen 0-14 years old 15,882 24,975 - - 20,123
> Women 470 751 - - -
> Families 7,584 11,925 - - 13,042
Sustainable Livelihood Program: Families
530 3,787 - - 1,263
5/
KALAHI-CIDSS, CDDP: Families 7,114 16,026 - 2,179
RRPT: Trafficked Persons 6/ 9 7 - - 2
-
Apayao
FHONA 1/ 2,084 1,598 1,378 371 1
served by community-based services 1 5 1,378 371 1
served by LGUs 2,083 1,593 - - -
Women 1,403 4,603 1 4 2
served by regional haven - 1 - - -
served by community-based services - 11 1 4 2
served by LGUs 1,403 4,591 - - -
Children 2,167 2,479 8 12 27
served by centers and institution - 1 8 - -
served by LGUs 2,163 2,460 - - -
Youth 2,385 1,046 - 19 -
served by community-based services 358 11 - 19 -
served at reception and rehabilation centers - 1 - - -
served by LGUs 2,027 1,034 - - -
Persons with Disabilities 323 658 - 13 -
served by community-based services 1 - - 13 -
12 - 4
Area/Clientele 2011 2012 2013 2009 2010

Senior Citizens 839 2,061 1,276 47 4,319
served by community-based servces 5 2 14 47 -
katas ng VAT and social pension program 337 541 1,262 - 4,319
served by LGUs 497 1,518 - - -
Others 15,301 48,026 10,553 10,551 45,228
Disaster victims 2,243 478 - 10,551 8,780
(NHTS): Households - 10,551 10,553 - 9,164
- -
> Women - - - - -
> Families 3,409 7,234 - - 8,108
Sustainable Livelihood Program: Families 351 2,869 - 730
KALAHI-CIDSS, CDDP: Families 5/ - 8,176 - - 2,032
RRPT: Trafficked Persons 6/ - - - - 5
Baguio City
FHONA 1/ 266 - 219 1,075 794
served by community-based services 133 - 219 1,075 794
served by LGUs 133 - - - -
Women 22 - 22 - -
served by regional haven 5 - - - -
served by community-based services 17 - 22 - -
served by LGUs - - - - -
Children 11,599 7,123 662 250 148
served by LGUs 11,567 6,893 - - -
Youth 4,453 4,202 53 30 17
served by LGUs 4,184 4,184 - - -
Persons with Disabilities 2,341 2,787 8 4 3
served by modified conditional cash transfer - 391 - - -
served by LGUs 2,332 2,393 - - -
Senior Citizens 351 360 242 190 744
served by community-based servces 18 30 39 190 99
katas ng VAT and social pension program - - 203 - 645
Others 8,229 17,356 4,377 3,595 17,648
Disaster victims 333 - - - 1,217
(NHTS): Households - 13,726 4,377 3,595 2,085
Feeding Programs: Children 3/ 3,982 - - - 5,431
Pantawid Pamilyang Pilipino Program (4Ps): - - - - -
> Women 79 71 - - -
> Families 1,018 936 - - 3,156
12 - 5
2011-2015
Area/Clientele 2011 2012 2013 2014 2015

Sustainable Livelihood Program: Families 455 441 - - 210
5/
KALAHI-CIDSS, CDDP: Families - - - - -
Benguet
FHONA 1/ 16,323 18,928 446 428 191
served by community-based services 127 2,791 446 428 191
served by LGUs 16,196 16,137 - - -
Women 23,519 12,919 4 8 -
served by community-based services 6 51 4 8 -
served by LGUs 23,513 12,857 - - -
Children 21,629 17,815 246 114 95
served by LGUs 21,597 17,652 - - -
Youth 5,175 5,452 32 342 68
served by community-based services 613 - 32 342 68
served by LGUs 4,562 5,450 - - -
Persons with Disabilities 3,051 2,939 3 4 -
served by community-based services 7 4 3 4 -
served by modified conditional cash transfer - 248 - - -
served by LGUs 3,044 2,687 - - -
Senior Citizens 30,192 18,833 1,202 74 6,489
served by LGUs 29,741 18,298 - - -
Others 29,607 64,184 13,813 13,726 88,931
Disaster victims 8,589 573 - - 33,939
(NHTS): Households - 11,908 13,813 13,726 10,710
Pantawid Pamilyang Pilipino Program (4Ps): - -
> Women 3,424 10,857 - - -
> Families 3,200 10,193 - - 11,722
Sustainable Livelihood Program: Families 50 - - - 488
KALAHI-CIDSS, CDDP: Families 5/ - - - - -
RRPT: Trafficked Persons 6/ 1 - - - 4
Ifugao
FHONA 1/ 4,097 4,422 147 284 309
served by LGUs 4,071 4,420 - - -
Women 747 1,716 - 8 1
served by community-based services - 50 12 8 1
12 - 6
Area/Clientele 2011 2012 2013 2014 2015
Children 4,082 7,328 174 26 17

served by centers and institution - - 174 - -
served by LGUs 4,080 7,276 - - -
Youth 1,090 1,362 23 167 -
served by community-based services 584 - 23 167 -
Persons with Disabilities 695 178 1 4 -
served by community-based services - - 1 4 -
Senior Citizens 2,428 6,313 1,204 29 6,120
served by community-based servces - - - 29 -
served by LGUs 2,146 5,473 - - -
Others 23,446 60,081 - 11,908 47,987
Disaster victims 10,700 758 - - 591
(NHTS): Households - 13,295 11,995 11,908 10,700
- -
> Women 111 477 - - -
> Families 2,128 9,203 - - 10,049
Sustainable Livelihood Program: Families - 1,826 - - 255
KALAHI-CIDSS, CDDP: Families 5/ - 6,697 - - 3,630
Kalinga
FHONA 1/ 2,923 8,910 761 258 788
served by LGUs 2,881 8,888 - - -
Women 3,436 10,329 - - 5
served by community-based services 37 2 - 5
served by LGUs 3,436 10,290 - - -
Children 6 - - - -
served by centers and institution - - 48 24 18
served in community-based services 6 - - - -
served by LGUs - - - - -
Youth 3,546 2,291 - 74 8
served by LGUs 3,074 2,290 - - -
Persons with Disabilities 376 1,943 - 3 -
served by community-based services 5 - - 3 -
served by modified conditional cash transfer - 1,002 - - -
12 - 7
2011-2015
Area/Clientele 2011 2012 2013 2014 2015

Senior Citizens 2,259 7,128 1,644 33 4,948
served by community-based servces - 4 8 33 14
katas ng VAT and social pension program 417 1,022 1,636 - 4,934
served by LGUs 1,842 6,102 - - -
Others 34,102 62,150 13,977 13,295 56,652
(NHTS): Households 627 1,033 13,977 13,295 12,427
Pantawid Pamilyang Pilipino Program (4Ps): - -
> Women 245 454 - - -
> Families 4,845 9,651 - - 11,515
Sustainable Livelihood Program: Families 280 2,866 - - 954
KALAHI-CIDSS, CDDP: Families 5/ - 9,819 - - 907
RRPT: Trafficked Persons 6/ - 7,517 - - 2
Mt. Province
FHONA 1/ 6,452 4,546 2,478 370 229
served by community-based services 35 - 2,478 370 229
served by LGUs 6,417 4,546 - - -
Women 2,529 1,800 - 1 -
served by regional haven - - - - -
served by community-based services - 32 - 1 -
served by LGUs 2,529 1,768 - - -
Children 5,444 5,137 52 20 47
served by centers and institution - - 52 - -
served by LGUs 5,440 5,092 - - -
Youth 2,851 877 - 28 19
served by community-based services 563 - - 28 19
served by LGUs 2,288 877 - - -
Persons with Disabilities 221 177 1 9 -
served by community-based services 6 - 1 9 -
Senior Citizens 4,452 3,752 1,133 64 4,638
served by community-based servces 5 - 10 64 15
served by LGUs 4,048 2,879 - - -
Others 28,101 32,453 7,576 7,517 38,626
(NHTS): Households - 3,595 7,576 7,517 7,429
> Women 106 358 - - -
> Families 1,795 5,873 - - 6,764
Sustainable Livelihood Program: Families 158 2,148 - - 770
KALAHI-CIDSS, CDDP: Families 5/ 10,003 1,487 - - 58
RRPT: Trafficked Persons 6/ … … … - 1
12 - 8
Table 12.2A
NUMBER OF DISABLED PERSONS BY SEX, TYPE OF DISABILITY AND PROVINCE
Census Year 1990
Deafness/ Speech
Area/Sex Total Blindness Deafness Muteness
Muteness Impairment
Philippines
Both Sexes 636,999 63,276 65,369 26,339 18,705 50,656
Female 292,948 31,109 31,857 12,595 8,874 23,217
Male 344,051 32,167 33,512 13,744 9,831 27,439
CAR
Both Sexes 18,344 1,764 2,653 645 646 1,077
Female 8,759 940 1,380 316 283 507
Male 9,585 824 1,273 329 363 570
Abra
Both Sexes 3,148 334 466 105 144 254
Female 1,505 185 229 53 74 128
Male 1,643 149 237 52 70 126
Baguio City
Both Sexes 1,731 117 169 44 61 98
Female 825 54 99 25 23 43
Male 906 63 70 19 38 55
Benguet
Both Sexes 5,534 426 575 212 189 318
Female 2,512 202 300 89 78 150
Male 3,022 224 275 123 111 168
Ifugao
Both Sexes 2,471 313 463 85 64 95
Female 1,272 199 261 32 31 46
Male 1,199 114 202 53 33 49
Kalinga Apayao
Both Sexes 3,249 312 505 134 131 200
Female 1,542 157 239 79 53 98
Male 1,707 155 266 55 78 102
Mt. Province
Both Sexes 2,211 262 475 65 57 112
Female 1,103 143 252 38 24 42
Male 1,108 119 223 27 33 70
Note: 1/ Includes loss of one or both arms/hands/legs/feet; paralysis of both
arms/legs/one arm and one leg/all four limbs.
12 - 9
Census Year 1990
Mental Orthopedic Multiple

Area/Sex Others
Retardation Handicap 1/ Disability
Philippines
Both Sexes 60,024 135,445 30,072 140,598
Female 27,908 54,578 13,544 66,230
Male 32,116 80,867 16,528 74,368
CAR
Both Sexes 1,274 4,426 900 3,702
Female 604 1,938 423 1,733
Male 670 2,488 477 1,969
Abra
Both Sexes 262 684 185 448
Female 118 284 79 219
Male 144 400 106 229
Baguio City
Both Sexes 172 456 73 457
Female 80 199 32 227
Male 92 257 41 230
Benguet
Both Sexes 435 1,469 239 1,306
Female 203 616 107 595
Male 232 853 132 711
Ifugao
Both Sexes 140 559 135 437
Female 70 256 74 210
Male 70 303 61 227
Kalinga Apayao
Both Sexes 176 726 143 698
Female 88 311 69 319
Male 88 415 74 379
Mt. Province
Both Sexes 89 532 125 356
Female 45 272 62 163
Male 44 260 63 193
12 - 10
Table 12.2B
Census Year 1995
Partial/Total Partial/Total
Area/Sex Total Blindness/ Deafness/Poor Muteness
Low Vision Hearing Ability
Philippines
Both Sexes 779,276 423,695 115,375 35,948
Female 399,193 235,220 55,401 16,545
Male 380,083 188,475 59,974 19,403
CAR
Both Sexes 15,829 6,720 3,745 749
Female 7,942 3,620 1,767 347
Male 7,887 3,100 1,978 402
Abra
Both Sexes 3,006 1,324 599 141
Female 1,595 770 289 69
Male 1,411 554 310 72
Apayao
Both Sexes 767 355 172 71
Female 326 140 68 34
Male 441 215 104 37
Baguio City
Both Sexes 1,406 602 251 70
Female 707 328 123 32
Male 699 274 128 38
Benguet
Both Sexes 3,728 1,284 952 207
Female 1,716 652 413 91
Male 2,012 632 539 116
Ifugao
Both Sexes 3,141 1,798 620 77
Female 1,711 1,021 324 36
Male 1,430 777 296 41
Kalinga
Both Sexes 2,146 900 586 109
Female 1,060 481 258 50
Male 1,086 419 328 59
Mt. Province
Both Sexes 1,635 457 565 74
Female 827 228 292 35
Male 808 229 273 39
12 - 11
Census Year 1995
Area/Sex Speech Impairment Mental Illness Mental Retardation Others
Philippines
Both Sexes 38,342 38,675 55,041 72,200
Female 17,511 18,318 25,452 30,746
Male 20,831 20,357 29,589 41,454
CAR
Both Sexes 715 1,020 990 1,890
Female 346 502 494 866
Male 369 518 496 1,024
Abra
Both Sexes 143 198 212 389
Female 70 108 102 187
Male 73 90 110 202
Apayao
Both Sexes 53 25 25 66
Female 28 11 17 28
Male 25 14 8 38
Baguio City
Both Sexes 68 83 148 184
Female 39 34 77 74
Male 29 49 71 110
Benguet
Both Sexes 168 314 274 529
Female 70 142 125 223
Male 98 172 149 306
Ifugao
Both Sexes 93 145 114 294
Female 46 76 52 156
Male 47 69 62 138
Kalinga
Both Sexes 104 134 110 203
Female 54 68 55 94
Male 50 66 55 109
Mt. Province
Both Sexes 86 121 107 225
Female 39 63 66 104
Male 47 58 41 121
12 - 12
Table 12.2C
Census Year 2000
Partial/Total Partial/Total
Area/Sex Total Blindness/ Deafness/Hard Oral Defect
Low Vision of Hearing
Philippines
Both Sexes 779,276 423,695 115,375 35,948
Female 399,193 235,220 55,401 16,545
Male 380,083 188,475 59,974 19,403
CAR
Both Sexes 17,321 6,472 3,333 1,257
Female 8,425 3,441 1,612 630
Male 8,896 3,031 1,721 627
Abra
Both Sexes 3,383 1,282 667 333
Female 1,611 655 316 160
Male 1,772 627 351 173
Apayao
Both Sexes 971 264 185 133
Female 454 134 94 62
Male 517 130 91 71
Baguio City
Both Sexes 3,098 1,643 374 198
Female 1,609 944 191 105
Male 1,489 699 183 93
Benguet
Both Sexes 3,572 1,203 611 197
Female 1,645 603 276 93
Male 1,927 600 335 104
Ifugao
Both Sexes 2,129 754 527 123
Female 1,042 409 254 68
Male 1,087 245 273 55
Kalinga
Both Sexes 2,227 776 509 148
Female 1,079 402 231 81
Male 1,148 374 278 67
Mt. Province
Both Sexes 1,941 550 460 125
Female 985 294 250 61
Male 956 256 210 64
Note: 1/ Includes loss of one or both arms/hands/legs/feet; paralysis of both

arms/legs/one arm and one leg/all four limbs.
12 - 13
Census Year 2000
Orthopedic
Area/Sex Mental Illness Mentally Retarded Multiple Impairment
Handicap 1/
Philippines
Both Sexes 135,445 38,675 55,041 30,072
Female 54,578 18,318 25,452 13,544
Male 80,867 20,357 29,589 16,528
CAR
Both Sexes 3,306 1,174 1,217 592
Female 1,375 564 553 283
Male 1,931 610 664 309
Abra
Both Sexes 532 206 227 136
Female 227 103 92 58
Male 305 103 135 78
Apayao
Both Sexes 256 46 60 27
Female 100 20 32 15
Male 156 26 28 12
Baguio City
Both Sexes 469 126 209 79
Female 180 60 97 32
Male 289 66 112 47
Benguet
Both Sexes 798 326 308 129
Female 325 148 136 64
Male 473 178 172 65
Ifugao
Both Sexes 393 162 123 47
Female 170 75 50 46
Male 223 87 73 31
Kalinga
Both Sexes 380 180 164 70
Female 162 85 84 34
Male 218 95 80 36
Mt. Province
Both Sexes 478 121 107 74
Female 211 63 66 34
Male 267 99 41 40
12 - 14
Table 12.3
PROGRAMS AND PROJECTS IN THE CULTURAL COMMUNITIES
2012-2016
Programs and Projects 2012 2013 2014 2015 2016
Livelihood 1/ CAR 0 3 2 8 6
(No. of projects) Abra - - - 3 1
Apayao - - - 1 1
Baguio City - 3 - - -
Benguet - - 1 - 1
Ifugao - - - 2 1
Kalinga - - - 1 1
Mt. Province - - 1 1 1
Infrastructure CAR 9 5 - - -
(No. of projects) Abra - 1 - - -
Apayao - - - - -
Baguio City - - - - -
Benguet - 2 - - -
Ifugao 9 - - - -
Kalinga - - - - -
Mt. Province - 2 - - -
Educational CAR 2,576 2,577 1,803 1,147 1,393

Assistance Abra … … 229 173 200
(No. of students) Apayao … … 233 174 196
Baguio City … … 207 124 107
Benguet … … 286 193 218
Ifugao … … 320 199 224
Kalinga … … 285 172 206
Mt. Province … … 243 112 242
Health Services CAR - - - - 2

(No. of projects) Abra - - - - -
Apayao - - - - 1
Benguet - - - - 1
Ifugao - - - - -
Kalinga - - - - -
Mt. Province - - - - -
IKSP CAR - - 16 2 12
Documentation/ Abra - - 4 1 2
Researches 2/ Apayao - - 2 - 2
Benguet - - 3 - 2
Ifugao - - - - 2
Kalinga - - 4 - 2
Mt. Province - - 3 1 2
Source: National Commission on Indigenous Peoples
12 - 15
PROGRAMS AND PROJECTS IN THE CULTURAL COMMUNITIES
2012-2016
Programs and Projects 2012 2013 2014 2015 2016
Support to CAR 2 2 1 4 1
Cultural Abra 1 - - 2 -
Celebrations 3/ Apayao - - - 1 -
Baguio City - - 1 -
Benguet - - - - -
Ifugao - - - - -
Kalinga - 1 - 1 -
Mt. Province 1 1 - - -
ADSDPP CAR 2 2 6 6 2
Formulation/ Abra - - 3 1 -
Enhancement or Apayao - - 1 2 -
Updating 4/ Baguio City - - - - -
Benguet - - - - -
Ifugao - - - 2 -
Kalinga - - - 4 2
Mt. Province 2 2 2 - -
Notes: 1/ Livelihood projects include credit/financial assistance and animal dispersal.
2/ Indigenous Knowledge, Systems and Practices (IKSP) documentation started in 2004.
3/ Support to cultural celebrations depends upon request of the LGUs.
4/ Ancestral Domain Sustainable Development and Protection Plan (ADSDPP) started in 2006.
12 - 16
Table 12.4
APPROVED CERTIFICATES OF ANCESTRAL DOMAIN TITLE
2008-2016
Region / Province 2008 2009 2010 2011 2012 2013 2014 2015 2016
CAR 8 5 1 - - - - 1 -
Abra - 1 - - - - - - -
Apayao - - - - - - - - -
Baguio City - - - - - - - - -
Benguet 7 1 1 - - - - - -
Ifugao 1 1 - - - - - - -
Kalinga - 1 - - - - - - -
Mt. Province - 1 - - - - - 1 -
Table 12.5
APPROVED CERTIFICATES OF ANCESTRAL LAND TITLE
2008-2016
Region / Province 2008 2009 2010 2011 2012 2013 2014 2015 2016
CAR 10 48 3 - 4 - - - -
Abra - - - - - - - - -
Apayao - - - - - - - - -
Baguio City 6 30 2 - 4 - - - -
Benguet - 14 1 - - - - - -
Ifugao 1 - - - - - - - -
Kalinga 3 - - - - - - - -
Mt. Province - 4 - - - - - - -
Figure 12.2 Number of Disabled Person by Sex and Type of Disability,

CAR, 2000
Female Male
Multiple Impairment
Mentally Retarded
Type of Disability
Mental Illness
Orthopedic Handicap
Oral Defect
Partial/Total Blindness/Low
Vision
0 1,000 2,000 3,000 4,000 5,000 6,000 7,000

Number
12 - 17
Chapter 13
TRANSPORTATION &
COMMUNICATION
Data on the extent and coverage of the transportation and communication networks of
an area are essential. The data provide planners and decision-makers in government
and entrepreneurial ventures with a sound basis to improve the state of their
infrastructures. Specifically, planners use the data in the formulation of strategies that
will link the locality with its neighbors within and outside the country. The different
modes of transportation and channels and media communication are vital in the
economic, social, and cultural lives of peoples and institutions in the community. A
well-developed transportation system ensures fast and efficient transfer of goods and
services between traders, households and other institutions within and outside the
geographical limits of the community. Similarly, breakthroughs in the communication
system accelerates the flow of information. This era of information technology enables
a faster access to and the dissemination of news, events, and developments in the
domestic and international scene. Under this situation, the citizenry becomes well-
informed of events and developments affecting their lives. The business community, on
the other hand, receives vital information that can expand the market for their products
and services. The continuous provision of data on the transportation and
communication systems of an area therefore becomes indispensable in charting the
course towards socioeconomic development and cultural upliftment of the area.
This chapter presents data on all modes of transportation at the regional and/or
provincial/city levels. On land transport, the data presented include the registration of
motor vehicles and permits/licenses issued by the Land Transportation Office. The
data presented also include road lengths sourced from the Department of Public
Works and Highways. On air transport, this chapter shows data covering the
movements of aircrafts and the volume of passengers and cargo handled from the Air
Transportation Office. The chapter also provides data on the number of
telecommunication facilities, licensed radio stations, telegraph stations, telephone
distribution, and post offices and mail carriers and the volume of mail. The sources of
data are the National Telecommunications Commission and the Philippine Postal
Corporation. This chapter also presents one Millennium Development Goal (MDG)
indicator as shown in Table 13.11 with the MDG icon
HIGHLIGHTS
• The total number of registered motor vehicles in CAR decreased by 37.4 percent
in 2015 or from 108,819 in 2014 to 68,161 in 2015.
• A total of 42,456 new licenses were issued in 2014. Student licenses comprised
78.4 percent or 33,293 while 10.8 percent and 10.6 percent, were professional
and non-professional licenses, respectively.
13 - 1
Table 13.1A Number of Motor Vehicles Registered by Major Classification and 13-3
Province/City, 2009-2015
Table 13.1B Number of Motor Vehicles Registered by Type and Province/City, 13-5
2008-2014
Table 13.2 Number of Motor Vehicles Registered by Classification, New and Renewal, 13-7
Table 13.3 Number of Motor Vehicles Registered by Classification, Type of Fuel Used 13-8
Tabl3 13.4 Number of Permits/Licenses Issued, CAR, 2013-2014 13-9
Table 13.5 Existing Road Length by Type of Material and Engineering District, 13-10
As of December 2016
Table 13.6 Aircraft Movement, Passengers Carried and Cargo Volume in Baguio 13-11
1999-2015
Table 13.7 Number of Licensed Radio Stations by Type of Station, 2016-2017 13-12
Table 13.8 Number of Public Telegraph Stations by Province, 2003-2007 13-16
Table 13.9 Number of Post Offices and Mail Carriers by Province, 2002-2010 13-17
Table 13.10 Summary of Mail Volume Handled in CAR, 1996-2010 13-18
Table 13.11 Telephone Distribution by Operator and Province/City, 13-19

as of December 2006
Table 13.12 Telephone Distribution by Region, 2011-2014 13-20
Figure 13.1 Motor Vehicles Registered by Major Classification in CAR, 13-4

2013-2014
Figure 13.2 Number of Licenses Issued, by Province: 2014 13-8
Figure 13.3 Existing Road Length Share by Engineering District, CAR 13-10
(As of November 2015)
Figure 13.4 Volume of Delivered Mail by Type, CAR: 2003-2010 13-18
13 - 2
Table13.1A
NUMBER OF MOTOR VEHICLES REGISTERED BY MAJOR CLASSIFICATION
AND PROVINCE/CITY
2009-2015
Province/City/Year Total Private Government For Hire Others
CAR
2009 71,753 51,426 1,098 19,229 -
2010 70,419 ... ... ... ...
2011 83,756 ... ... ... ...
2012 93,698 ... ... ... ...
2013 101,131 82,634 1,460 17,037 ...
2014 108,819 88,835 1,748 18,236 ...
2015 115,850 96,206 1,787 17,857 …
Abra
2009 15,048 9,555 82 5,411 -
2010 14,971 ... ... ... ...
2011 17,119 ... ... ... ...
2012 ... ... ... ... ...
2013 20,399 14,698 82 5,619 ...
2014 18,405 13,264 93 5,048 ...
2015 18,240 13,359 92 4,789
Apayao
2009 710 436 31 243 -
2010 656 ... ... ... ...
2011 1,944 ... ... ... ...
2012 ... ... ... ... ...
2013 4,440 3,440 62 938 ...
2014 5,357 4,180 99 1,078 ...
2015 6,347 5,127 108 1,112 …
Baguio City
2009 32,854 23,061 420 9,373 ...
2010 31,568 ... ... ... ...
2011 36,281 ... ... ... ...
2012 ... ... ... ... ...
2013 39,287 33,960 491 4,836 ...
2014 35,321 28,699 554 6,068 ...
2015 36,585 30,401 607 5,577
Benguet
2009 15,636 13,838 345 1,453 ...
2010 14,292 ... ... ... ...
2011 18,004 ... ... ... ...
2012 ... ... ... ... ...
2013 22,273 20,498 457 1,318 ...
2014 25,052 23,158 527 1,367 ...
2015 27,672 25,720 495 1,457 …
Notes: "Others" includes the Diplomatic and Exempt classifications.
Source: Department of Transportation and Communications
13 - 3
Table13.1A Continued
NUMBER OF MOTOR VEHICLES REGISTERED BY MAJOR CLASSIFICATION
AND PROVINCE/CITY
2009-2015
Province/City/Year Total Private Government For Hire Others
Ifugao
2009 3,962 2,231 125 1,606 -
2010 3,687 ... ... ... ...
2011 4,443 ... ... ... ...
2012 ... ... ... ... ...
2013 6,166 3,860 146 2,160 ...
2014 6,547 4,261 193 2,093 ...
2015 7,511 4,940 203 2,368 …
Kalinga
2009 3,543 2,305 95 1,143 -
2010 3,574 ... ... ... ...
2011 3,873 ... ... ... ...
2012 ... ... ... ... ...
2013 5,891 4,224 151 1,516 ...
2014 6,584 4,597 172 1,815 ...
2015 7,158 5,143 166 1,849 …
Mt. Province
2009 1,539 995 48 496 -
2010 1,671 ... ... ... ...
2011 2,092 ... ... ... ...
2012 ... ... ... ... ...
2013 2,675 1,954 71 650 ...
2014 3,611 2,841 85 685 ...
2015 4,395 3,681 91 623 …
Figure 13.1 Motor Vehicles Registered By Major Classification, CAR:

2014-2015
120,000
100,000
Private
80,000 Government
For Hire
60,000
40,000
20,000
-
2014 2015
Year
13 - 4
Table 13.1B
NUMBER OF MOTOR VEHICLES REGISTERED BY TYPE AND PROVINCE/CITY
2008-2014
Province/City/ Utility Sport Utility Motorcycles/

Total Cars Buses Trucks Trailers
Year Vehicles 1/ Vehicles Tricycles
CAR
2008 67,371 8,881 32,917 2,553 350 5,234 47 17,389
2009 73,149 … … … … … … …
2010 70,419 … … … … … … …
2011 84,385 9,126 42,766 - 290 5,797 110 26,296
2012 93,698 8,979 46,364 - 297 6,121 105 31,832
2013 101,131 … … … … … … …
2014 108,819 … … … … … … …
Abra
2008 13,641 532 2,998 147 24 499 18 9,423
2009 15,048 … … … … … … …
2010 14,971 … … … … … … …
2011 17,119 … … … … … … …
2012 … … … … … … … …
2013 20,399 … … … … … … …
2014 18,405 … … … … … … …
Apayao
2008 1,026 33 287 3 2 89 2 610
2009 710 … … … … … … …
2010 656 … … … … … … …
2011 1,944 … … … … … … …
2012 … … … … … … … …
2013 4,440 … … … … … … …
2014 5,357 … … … … … … …
Baguio City
2008 30,906 7,075 17,407 1,695 123 1,687 20 2,899
2009 32,854 … … … … … … …
2010 31,568 … … … … … … …
2011 36,281 … … … … … … …
2012 … … … … … … … …
2013 39,287 … … … … … … …
2014 35,321 … … … … … … …
Benguet
2008 14,398 1,043 9,178 550 146 2,253 3 1,225
2009 15,636 … … … … … … …
2010 14,292 … … … … … … …
2011 18,004 … … … … … … …
2012 … … … … … … … …
2013 22,273 … … … … … … …
2014 25,052 … … … … … … …
Ifugao
2008 3,022 77 1,047 59 26 176 1 1,636
2009 3,962 … … … … … … …
2010 3,687 … … … … … … …
2011 4,443 … … … … … … …
2012 … … … … … … … …
2013 6,166 … … … … … … …
2014 6,547 … … … … … … …
Note: 2011 & 2012 data for Utility Vehicles include Sports Utility Vehicles.
13 - 5
NUMBER OF MOTOR VEHICLES REGISTERED BY TYPE AND PROVINCE/CITY
2008-2014
Province/City/ Utility Sport Utility Motorcycles/

Total Cars Buses Trucks Trailers
Year Vehicles 1/ Vehicles Tricycles
Kalinga
2008 2,829 105 1,137 65 11 285 3 1,223
2009 3,543 … … … … … … …
2010 3,574 … … … … … … …
2011 3,873 … … … … … … …
2012 … … … … … … … …
2013 5,891 … … … … … … …
2014 6,584 … … … … … … …
Mountain Province
2008 1,549 16 863 34 18 245 - 373
2009 1,539 … … … … … … …
2010 1,671 … … … … … … …
2011 2,092 … … … … … … …
2012 … … … … … … … …
2013 2,675 … … … … … … …
2014 3,611 … … … … … … …
13 - 6
Table 13.2
NUMBER OF MOTOR VEHICLES REGISTERED BY CLASSIFICATION, NEW AND RENEWAL
BY PROVINCE/CITY
2014-2015
Year / Baguio Mountain

Classification City Province
2014 108,819 18,405 5,357 35,321 25,052 6,547 6,584 3,611
New 965 496 - 294 163 12 - -

Renewal 99,912 17,909 5,357 35,027 24,889 6,535 6,584 3,611
Private
New 5,777 454 - 290 163 10 - -
Renewal 80,083 12,810 4,180 28,409 22,995 4,251 4,597 2,841
For Hire
New 89 42 - - - 2 - -
Renewal 18,110 5,006 1,078 6,068 1,367 2,091 1,815 685
Government
New 21 - - 4 - - - -
Renewal 1,719 93 99 550 527 193 172 85
Diplomatic
New - - - - - - - -
Renewal - - - - - - - -
Exempt
New - - - - - - - -
Renewal - - - - - - - -
2015 68,161 4,931 1,588 30,972 21,952 2,581 3,180 2,957
New - - - - - - - -
Renewal 68,161 4,931 1,588 30,972 21,952 2,581 3,180 2,957
Private
New - - - - - - - -
Renewal 58,809 4,444 1,482 24,862 20,257 2,271 2,814 2,679
For Hire
New - - - - - - - -
Renewal 7,889 405 38 5,577 1,257 182 240 190
Government
New - - - - - - - -
Renewal 1,463 82 68 533 438 128 126 88
Diplomatic
New - - - - - - - -
Renewal - - - - - - - -
Exempt
New - - - - - - - -
Renewal - - - - - - - -
13 - 7
Table 13.3
NUMBER OF MOTOR VEHICLES REGISTERED BY CLASSIFICATION, TYPE OF FUEL USED, CAR
2008-2012
Utility Motorcycles
Year Total Cars Trucks Buses Trailers
Vehicles / Tricycles
2008 68,067 9,012 35,896 5,282 355 17,522 52
Gas 32,144 8,927 5,694 1 - 17,522 …

Diesel 35,923 85 30,202 5,281 355 - …
2009 72,126 9,182 37,487 5,142 361 19,954 62
Gas 34,882 9,013 5,915 - - 19,954 …

Diesel 37,244 169 31,572 5,142 361 - …
2010 … … … … … … …
Gas … … … … … … …
Diesel … … … … … … …
2011 84,275 9,126 42,766 5,797 290 26,296 110
Gas 40,758 9,034 5,427 1 - 26,296 …

Diesel 43,517 92 37,339 5,796 290 - …
2012 93,593 8,979 46,364 6,121 297 31,832 105
Gas 46,501 8,899 5,231 537 2 31,832 …

Diesel 47,092 80 41,133 5,584 295 - …
Note: Total number does not include trailer.
Figure 13.2 Number of Licenses Issued, by Province: 2014
40,000
35,000
Professional
30,000 Non-Professional
Conductors Permit
25,000
Number
Student Permit
20,000
15,000
10,000
5,000
0
Abra Apayao Baguio Benguet Ifugao Kalinga Mountain
Province
Province
13 - 8
Table 13.4
NUMBER OF PERMITS/LICENSES ISSUED BY TYPE AND PROVINCE/CITY
2014-2015
Province/City/ Baguio Mountain

Type of Permit City Province
2014
New
Student Permit 33,293 5,726 1,924 11,729 5,819 2,975 3,540 1,580
Conductors Permit 52 8 5 17 - 7 7 8
Non-Professional 4,507 993 111 2,493 - 391 417 102
Professional 4,604 1,932 70 756 - 698 672 476
Renewal
Student Permit 197 82 - - 107 - - 8

Conductors Permit 79 15 2 37 - 12 4 9
Non-Professional 8,699 902 106 7,020 - 235 346 90
Professional 28,096 5,148 704 17,532 - 1,962 1,858 892
Confirmation
Student Permit - - - - - - - -
Conductors Permit - - - - - - - -
Non-Professional 89 - - 89 - - - -
Professional 243 - - 243 - - - -
2015
New
Student Permit -
Conductors Permit -
Non-Professional -
Professional -
Renewal
Student Permit -
Conductors Permit -
Non-Professional -
Professional -
Conversion
Student Permit -
Conductors Permit -
Non-Professional -
Professional -
Note: 2014 data is from January-September only.
13 - 9
Table 13.5
EXISTING ROAD LENGTH BY TYPE OF MATERIAL AND ENGINEERING DISTRICT
As of December 2016
(In kilometers)
Engineering District All Types Asphalt Concrete Earth Gravel
CAR 2,247.04 137.57 1,623.75 5.41 480.32
Abra 198.08 36.85 137.46 - 23.77

Apayao 1st 122.28 3.21 83.99 1.61 33.47
Apayao 2nd 229.44 1.82 112.18 0.13 115.31
Baguio City 112.19 24.84 87.35 -
Benguet 1st 260.70 40.71 218.79 - 1.20
Benguet 2nd 237.31 9.65 176.93 - 50.73
Ifugao 1st 159.71 9.22 111.32 3.67 35.49
Ifugao 2nd 195.98 2.26 149.82 - 43.90
Lower Kalinga 250.30 2.60 195.16 - 52.54
Mt. Province 331.23 6.41 249.55 - 75.27
Upper Kalinga 149.82 0.00 101.18 - 48.64
Notes: The first district of Apayao consists of Conner and Kabugao while the second district (Apayao 2nd) includes
Sta. Marcela, Luna, Calanasan, Flora, Pudtol and Calanasan. Benguet 1st is the first district of Benguet and includes
La Trinidad, Bokod, Sablan, Itogon and Kabayan. Benguet 2nd, the second district of Benguet, consists of Buguias,
Tublay, Kibungan, Mankayan, Bakun and Kapangan.
Source: Department of Public Works and Highways
Figure 13.3 Existing Road Length Shared By Engineering District, CAR:

as of December 2016(in percent)
Upper Kalinga Abra
7% Apayao 1st
9%
Mt. Province 5%
15% Apayao 2nd
10%
Benguet 1st
12%
Lower Kalinga
11% Baguio City
5%
Ifugao 2nd
9%
Ifugao 1st Benguet 2nd
7% 10%
13 - 10
Table 13.6
AIRCRAFT MOVEMENT, PASSENGERS CARRIED AND CARGO VOLUME
BAGUIO CITY, 1999-2015
(Volume of cargo in kilograms)
Aircraft Movement Passenger Traffic

Year Commercia General
Total Military Total In-coming In-transit Out-going
l Aviation
Baguio City
1999 1,102 338 611 153 23,735 10,189 876 12,670
2000 632 114 456 62 12,112 5,231 536 6,345
2001 945 184 517 244 24,098 7,804 933 15,361
2002 973 196 527 250 14,352 6,279 912 7,161
2003 1,347 279 889 179 14,590 6,759 914 6,917
2004 1,007 307 521 179 20,362 9,568 546 10,248
2005 975 290 382 303 19,707 9,154 901 9,652
2006 878 285 335 258 19,607 8,539 1,157 9,911
2007 809 235 432 142 26,143 12,507 182 13,454
2008 765 104 477 184 5,805 4,367 876 562
2009 773 - 505 268 2,363 843 690 830
2010 613 22 437 154 2,559 917 785 857
2011 622 24 511 87 2,594 878 804 912
2012 662 - 523 139 2,198 632 825 741
2013 644 - 525 119 2,095 657 673 765
2014 451 - 353 98 2,094 764 688 642
2015 434 - 311 123 2,086 705 764 799
Note: The airport in Baguio City is the only commercial airport in CAR.
Source: Air Transportation Office

AIRCRAFT MOVEMENT, PASSENGERS CARRIED AND CARGO VOLUME
BAGUIO CITY, 1999-2015
(Volume of cargo in kilograms)
Airport / Volume of Cargo

Year Total Off Loaded Loaded
Baguio City
1999 111,933 50,544 61,389

2000 174,886 83,614 91,272
2001 182,202 60,308 121,894
2002 100,283 59,176 41,107
2003 93,372 51,540 41,832
2004 162,369 92,193 70,176
2005 445 180 265
2006 147,660 67,852 79,808
2007 119,125 56,772 62,353
2008 55,694 28,184 27,510
2009 - - -
2010 2,027 840 1,187
2011 1,501 620 881
2012 - - -
2013 - - -
2014 - - -
2015 1 1 -
13 - 11
Table 13.7
NUMBER OF LICENSED RADIO STATIONS BY TYPE OF STATION
2016 - 2017
2016
Application for
Radio Station License
Type of Radio Station Radio Licensing
Received Released On Time Not on Time
New Renewal New Renewal New Renewal New Renewal
CAR 702 2,877 702 2,877 702 2,877 - -
Citizens Band - - - - - - - -
Amateur 30 52 30 52 30 52 - -
Amateur Repeater - 2 - 2 - 2 - -
Portable (CV) 291 956 291 956 291 956 - -
Land Mobile (CV) 4 8 4 8 4 8 - -
Land Base (CV) 5 11 5 11 5 11 - -

Fixed/Land Base (CV) 1 39 1 39 1 39 - -
Repeater (CV) 1 12 1 12 1 12 - -
Ship - - - - - - - -
Coastal - - - - - - - -
Aircraft - - - - - - - -
Aeronautical - - - - - - - -
Training School - 1 - 1 - 1 - -
Portable (CO) 259 538 259 538 259 538 - -
Land Mobile (CO) 5 16 5 16 5 16 - -
Land Base (CO) 36 10 36 10 36 10 - -

Fixed/Land Base (CO) 8 45 8 45 8 45 - -
Repeater (CO) 1 9 1 9 1 9 - -
TVRO - 10 - 10 - 10 - -
Broadcast Auxillary - - - - - - - -
Fixed (CV) 9 80 9 80 9 80 - -
Fixed (CO) - 14 - 14 - 14 - -
Point to Point (CP-FX) - 368 - 368 - 368 - -
Point to Point (CP-FB) 1 602 1 602 1 602 - -
Civic Action Group 33 97 33 97 33 97 - -
Government PRS - - - - - - - -
Personal Radio Service 18 4 18 4 18 4 - -
Earth Station - 1 - 1 - 1 - -
Trunk Repeater - 2 - 2 - 2 - -
Source: National Tellecommunications Commission
13 - 12
Table 13.7 continued
2017
Application for
Radio Station License
Type of Radio Station Radio Licensing
Received Released On Time Not on Time
New Renewal New Renewal New Renewal New Renewal
CAR 992 4,067 992 4,067 992 4,067 - -
Citizens Band - - - - - - - -
Amateur 55 55 55 55 55 55 - -
Amateur Repeater 1 2 1 2 1 2 - -
Portable (CV) 548 909 548 909 548 909 - -
Land Mobile (CV) 11 9 11 9 11 9 - -
Land Base (CV) 4 17 4 17 4 17 - -

Fixed/Land Base (CV) 3 51 3 51 3 51 - -
Repeater (CV) 4 18 4 18 4 18 - -
Ship - - - - - - - -
Coastal - - - - - - - -
Aircraft - - - - - - - -
Aeronautical - 1 - 1 - 1 - -
Training School - 2 - 2 - 2 - -
Portable (CO) 137 585 137 585 137 585 - -
Land Mobile (CO) 22 20 22 20 22 20 - -
Land Base (CO) 7 20 7 20 7 20 - -

Fixed/Land Base (CO) 2 35 2 35 2 35 - -
Repeater (CO) 3 7 3 7 3 7 - -
TVRO - 9 - 9 - 9 - -
Broadcast Auxillary - - - - - - - -
- -
Fixed (CV) 2 109 2 109 2 109 - -
Fixed (CO) - 13 - 13 - 13 - -
Point to Point (CP-FX) - 407 - 407 - 407 - -
Point to Point (CP-FB) - 1701 - 1701 - 1701 - -
Civic Action Group 86 72 86 72 86 72 - -
Government PRS - - - - - - - -
Personal Radio Service 107 9 107 9 107 9 - -
Earth Station - 1 - 1 - 1 - -
Trunk Repeater - 15 - 15 - 15 - -
13 - 13
Table 13.8
NUMBER OF PUBLIC TELEGRAPH STATIONS BY PROVINCE
2003-2007
Province 2003 2004 2005 2006 2007
CAR
Telegraph Stations Operated 66 60 54 57 52

Municipalities Covered 66 60 54 56 49
Abra

Apayao

Baguio City

Municipalities Covered 1 1 1 - -
Benguet

Ifugao

Kalinga

Mt. Province

Source: Commission on Information and Communication Technology
13 - 14
Table 13.9
NUMBER OF POST OFFICES AND MAIL CARRIERS BY PROVINCE
2002-2010
Province/Year 2002 2003 2004 2005 r/ 2006 2007 2008 2009 2010
CAR
Post Offices 90 90 80 87 86 88 86 87 87
Mail Carriers 132 150 143 131 92 138 134 125 125
Abra
Post Offices 29 29 27 28 28 28 28 28 28
Mail Carriers 37 37 34 33 20 30 30 26 29
Apayao
Post Offices a/ a/ a/ 7 7 8 7 8 8
Mail Carriers a/ a/ a/ 2 1 7 7 5 5
Baguio City
Post Offices 8 8 8 8 8 8 8 8 8
Mail Carriers 47 47 49 48 49 48 44 44 41
Benguet
Post Offices 18 18 18 18 17 17 17 17 17
Mail Carriers 15 25 25 25 7 22 22 22 22
Ifugao
Post Offices 8 8 8 8 8 8 7 8 8
Mail Carriers 8 9 9 9 5 7 7 7 7
Kalinga
Post Offices a/ a/ a/ 8 8 8 8 8 8
Mail Carriers a/ a/ a/ 6 4 9 9 8 9
Kalinga-Apayao
Post Offices 16 16 8 b/ b/ b/ b/ b/ b/
Mail Carriers 14 19 13 b/ b/ b/ b/ b/ b/
Mt. Province
Post Offices 11 11 11 10 10 11 11 10 10
Mail Carriers 11 13 13 8 6 15 15 13 12
a/ - see Kalinga-Apayao (no disaggregated data were available for these years)
b/ - see Apayao and Kalinga (disaggregated data were available for these years)
r/ - CAR data was adjusted due to revision in Mt. Province data
13 - 15
Table 13.10
SUMMARY OF MAIL VOLUME HANDLED IN CAR
1996-2010
Posted Delivered
Year Domestic International Domestic International
1996 2,493,708 923,755 4,725,347 1,431,433

1997 2,654,864 1,005,219 5,159,875 2,925,450
1998 3,007,846 997,188 5,285,557 2,915,827
1999 2,442,032 974,820 3,466,000 4,401,149
2000 3,289,905 680,756 4,336,459 5,477,260
2001 2,160,340 639,273 3,547,325 2,831,476
2002 … … … …
2003 1,727,778 450,912 2,379,499 608,736
2004 1,466,789 388,610 2,734,461 287,636
2005 1,549,943 382,859 2,573,807 314,017
2006 1,515,363 439,703 2,495,011 268,987
2007 1,871,730 … 3,082,555 …
2008 1,759,791 … 2,960,827 …
2009 1,615,136 … 2,634,620 ...
2010 1,234,384 … 2,453,627 ...
Source: Philippine Postal Corporation
Fig. 13.4 Volume Of Delivered Mail By Type, CAR: 2003-2010
3,500
Domestic
International M
3,000 CA
2,500
Volume (in thousand)
2,000
1,500
1,000
500
-
2003 2004 2005 2006 2007 2008 2009 2010
Delivered
13 - 16
Table 13.11
TELEPHONE DISTRIBUTION BY OPERATOR AND PROVINCE/CITY
As of December 2006
Province/City/ Operator
Indicator DIGITEL PLDT PILTEL SMART Total
CAR
Equipment ultimate capacity 16,654 5,500 91,270 80,254 193,678

Total subscriber lines connected 465 3,513 25,903 5,691 35,572
Total available lines for connection 16,624 5,500 40,895 33,172 96,191
Abra
Equipment ultimate capacity 2,843 … - 2,230 5,073

Total subscriber lines connected - … - 497 497
Total available lines for connection 2,843 ... ... 2,293 5,136
Apayao
Equipment ultimate capacity - - - - -

Total subscriber lines connected - - - - -
Total available lines for connection - - - - -
Baguio City
Equipment ultimate capacity 9,836 - 91,270 75,000 176,106

Total subscriber lines connected - - 25,903 5,056 30,959
Total available lines for connection 9,836 ... 40,895 27,493 78,224
Benguet
Equipment ultimate capacity 2,600 5,500 - 1,512 9,612

Total subscriber lines connected - 3,513 - - 3,513
Total available lines for connection 2,600 5,500 ... 1,693 9,793
Ifugao
Equipment ultimate capacity 165 … - - 165

Total subscriber lines connected 165 … - - 165
Total available lines for connection 165 ... ... ... 165
Kalinga
Equipment ultimate capacity 1,000 … - - 1,000

Total subscriber lines connected 300 … - - 300
Total available lines for connection 1,000 … ... ... 1,000
Mt. Province
Equipment ultimate capacity 210 … - 1,512 1,722

Total subscriber lines connected - … - 138 138
Total available lines for connection 180 … ... 1,693 1,873
Source: National Telecommunications Commission
13 - 17
Table 13.12
TELEPHONE DISTRIBUTION BY REGION
2011-2014
2010
a
REGION / YEAR Telephone Population Telephone Density
Subscribers
lines ('000) Lines Subscribed
PHILIPPINES 6,783,372 3,335,398 94,103 7.04 3.70
NCR Metro Manila 3,051,390 1,667,084 11,552 26.41 14.43

CAR Cordillera Administrative Region 79,424 42,300 1,694 4.69 2.50
I Ilocos 186,795 93,473 5,173 3.61 1.81
II Cagayan Valley 49,561 34,744 3,365 1.47 1.03
III Central Luzon 420,352 251,969 10,159 4.14 2.48
IV CALABARZON & MIMAROPA 1,103,125 457,464 14,922 7.39 3.07
V Bicol 122,691 52,427 5,712 2.15 0.92
VI Western Visayas 433,780 155,312 7,578 5.72 2.05
VII Central Visayas 452,499 235,176 7,029 6.44 3.35
VIII Eastern Visayas 159,384 35,388 4,448 3.58 0.80
IX Zamboanga Peninsula 41,443 36,038 3,487 1.19 1.03
X Northern Mindanao 157,595 86,830 4,349 3.62 2.00
XI Davao Region 283,927 51,813 4,362 6.51 1.19
XII SOCCSKSARGEN 78,894 98,637 4,080 1.93 2.42
XIII Caraga 130,088 34,539 2,549 5.10 1.35
ARMM Autonomous Region in Muslim 32,424 2,204 3,552 0.91 0.06
Mindanao
2011
REGION / YEAR Telephone Population Telephone Density a
Subscribers
lines ('000) Installed Subscribed
PHILIPPINES 6,753,696 3,555,951 95,984 7.04 3.70
NCR Metro Manila 3,090,105 1,888,123 11,686 26.44 16.16

I Ilocos 189,716 90,276 5,273 3.60 1.71
IV CALABARZON & MIMAROPA 1,120,865 421,990 15,250 7.35 2.77
V Bicol 145,138 60,188 5,825 2.49 1.03
XI Davao Region 232,570 98,137 4,432 5.25 2.21
XIII Caraga 134,892 36,033 2,599 5.19 1.39
Mindanao
a
per 100 population
Notes: 1. Population source for 2011 is from the 2010 Census of Population and Housing.
Notes: 2. PLDT installed lines are as of September 2010; no new data submitted for installed lines.
Notes: 3. Bayantel, ETPI/TIPE, Innove, PT&T & majority independent LECs did nos submit report for 2010.
13 - 18
2011-2014
2012
a
Subscribers
PHILIPPINES 6,765,459 3,493,164 97,594 6.93 3.58
NCR Metro Manila 4,068,209 2,091,492 11,819 34.42 17.7

I Ilocos 179,596 89,577 5,373 3.61 1.81
IV CALABARZON & MIMAROPA 780,382 341,075 15,578 7.39 3.07
V Bicol 137,878 62,331 5,938 2.15 0.92
XI Davao Region 205,850 91,930 4,501 6.51 1.19
XIII Caraga 128,172 33,861 2,649 5.10 1.35
Mindanao
2011-2014
2013
REGION / YEAR Telephone Population Telephone Density a
Subscribers
PHILIPPINES 6,340,777 3,148,835 99,384 6.38 3.17
NCR Metro Manila 3,708,272 1,754,223 11,953 31.02 14.68

I Ilocos 176,988 81,126 5,473 3.23 1.48
V Bicol 137,366 62,798 6,051 2.27 1.04
XI Davao Region 205,850 92,723 4,570 4.5 2.03
XIII Caraga 127,827 33,957 2,700 3.38 0.90
13 - 19
Mindanao

2011-2014
2014
a
Subscribers
PHILIPPINES 6,340,777 3,148,835 101,175 6.38 3.17
NCR Metro Manila 3,707,822 1,827,859 12,087 30.68 15.12

I Ilocos 105,226 62,508 5,573 1.89 1.12
V Bicol 108,061 57,566 6,165 1.75 0.93
XI Davao Region 205,850 95,190 4,640 4.44 2.05
XIII Caraga 127,827 33,873 2,750 3.31 0.88
Mindanao
13 - 20
Chapter 14
ENERGY & WATER RESOURCES
Data on energy and water resources are vital inputs to national and local programs of
government. The business/industry sector also uses the data in the preparation of
feasibility studies and in investment planning. The importance of these resources in
countryside development is recognized in many ways. Energy and water are essential
resources in stimulating the growth of businesses and other institutions operating in
the locality. Industries, the major contributors to the region’s economy, are highly
dependent on these resources. The resources are also vital in the day-to-day lives of
individuals residing in the community. Considering the multifarious uses of these
resources, the data on the level, extent, sources, and utilization of energy and water
provide signals on the potentials of the area to achieve growth and development. The
data also serve as indicators of the standard of living of families comprising the
community.
This chapter presents regional and provincial data on power and irrigation.
Specifically, the data on power include the number of municipalities/barangays
energized, power distributed, and service connections by electric cooperatives.
Meanwhile, the data on irrigation include service/generated area of irrigation systems.
The sources of energy and irrigation data are the National Electrification
Administration and the National Irrigation Administration, respectively.
HIGHLIGHTS
• As of 2015, all barangays covered by the different electric cooperatives in the

Cordillera Administrative Region were 100 percent energized.
• The area of irrigated land during the wet season increased by 1.87 percent or
963 hectares in 2016. For the same year, irrigated land during the dry season also
increased by 0.30 percent which is equivalent to 152 hectares.
14 - 1
Table 14.1 Number of Barangays Energized by Electric Cooperative, 14-3
And City/Municipality, 2010-2015
Table 14.2 Power Distributed by Type of Consumer by Electric Cooperative, 14-5

2009-2015
Table 14.3 Service Connections by Type of Consumer by Electric Cooperative, 14-6

2009-2015
Table 14.4 Area of Irrigated Land by Season and Province, 2011-2016 14-7
Table 14.5 Generated Area of Irrigation Systems/Projects by Type and Province, 14-8
2011-2016
Table 14.6 Service Area of Existing Irrigation Systems by Type and Province, 14-9
As of 31 December 2016
Figure 14.1 Area of Irrigated Land By Season: CAR: 2008 - 2016 14-7
Figure 14.2 Service Area of Existing Irrigation Systems by Type and Province, 2016 14-9
14 - 2
Table 14.1
NUMBER OF BARANGAYS ENERGIZED BY ELECTRIC COOPERATIVE
AND CITY/MUNICIPALITY
2010-2015
Electric Cooperative
Coverage1 2011 2012 2013 2014 2015
City/Municipality
CAR 1,093 1,112 1,112 1,112 1,112 1,112

Abra Electric Coop.,
Inc. (ABRECO) 293 303 303 303 303 303
Bangued 31 31 31 31 31 31
Boliney 8 8 8 8 8 8
Bucay 21 21 21 21 21 21
Bucloc 4 4 4 4 4 4
Daguioman 4 4 4 4 4 4
Danglas 7 7 7 7 7 7
Dolores 15 15 15 15 15 15
La Paz 6 12 12 12 12 12
Lacub 17 6 6 6 6 6
Lagangilang 5 17 17 17 17 17
Lagayan 6 5 5 5 5 5
Langiden 12 6 6 6 6 6
Licuan-Baay 11 11 11 11 11 11
Luba 8 8 8 8 8 8
Malibcong 10 12 12 12 12 12
Manabo 11 11 11 11 11 11
Penarrubia 9 9 9 9 9 9
Pidigan 15 15 15 15 15 15
Pilar 19 19 19 19 19 19
Sal-Lapadan 9 9 9 9 9 9
San Isidro 9 9 9 9 9 9
San Juan 19 19 19 19 19 19
San Quintin 6 6 6 6 6 6
Tayum 11 11 11 11 11 11
Tineg 10 10 10 10 10 10
Tubo 10 10 10 10 10 10
Villaviciosa 8 8 8 8 8 8
Benguet Electric
Coop., Inc. 269 269 269 269 269 269
Atok 8 8 8 8 8 8
Baguio City 129 129 129 129 129 129
Bakun 7 7 7 7 7 7
Bokod 10 10 10 10 10 10
Buguias 14 14 14 14 14 14
Itogon 9 9 9 9 9 9
Kabayan 13 13 13 13 13 13
Kapangan 15 15 15 15 15 15
Kibungan 7 7 7 7 7 7
La Trinidad 16 16 16 16 16 16
Mankayan 12 12 12 12 12 12
Sablan 8 8 8 8 8 8
Tuba 13 13 13 13 13 13
Tublay 8 8 8 8 8 8
1
Refers to the number of barangays under the jurisdiction of an electric cooperative.
Source: National Electrification Administration
14 - 3
NUMBER OF BARANGAYS ENERGIZED BY ELECTRIC COOPERATIVES
BY COOPERATIVE AND CITY/MUNICIPALITY
2010-2015
Electric Cooperative
Coverage 2011 2012 2013 2014 2015
City/Municipality
Ifugao Electric Coop.,

Inc. (IFUELCO) 175 175 175 175 175 175
Aguinaldo 16 16 16 16 16 16
A. Lista (Potia) 20 20 20 20 20 20
Asipulo 9 9 9 9 9 9
Banaue 18 18 18 18 18 18
Hingyon 12 12 12 12 12 12
Hungduan 9 9 9 9 9 9
Kiangan 14 14 14 14 14 14
Lagawe 20 20 20 20 20 20
Lamut 18 18 18 18 18 18
Mayaoyao 27 27 27 27 27 27
Tinoc 12 12 12 12 12 12
Kalinga-Apayao
Electric Coop.,Inc. 212 221 221 221 221 221
Kalinga 152 … … … … …
Balbalan 14 … … … … …
Lubuagan 9 … … … … …
Pasil 14 … … … … …
Pinukpuk 23 … … … … …
Rizal 14 … … … … …
Tabuk 42 … … … … …
Tanudan 16 … … … … …
Tinglayan 20 … … … … …
Apayao 60 … … … … …
Calanasan 18 … … … … …
Conner 21 … … … … …
Flora - … … … … …
Kabugao 21 … … … … …
Luna - … … … … …
Pudtol - … … … … …
Sta. Marcela - … … … … …
Mt. Province Electric

Coop., Inc. 144 144 144 144 144 144
Barlig 11 11 11 11 11 11
Bauko 22 22 22 22 22 22
Besao 14 14 14 14 14 14
Bontoc 16 16 16 16 16 16
Natonin 11 11 11 11 11 11
Paracelis 9 9 9 9 9 9
Sabangan 15 15 15 15 15 15
Sagada 19 19 19 19 19 19
Sadanga 8 8 8 8 8 8
Tadian 19 19 19 19 19 19
14 - 4
Table 14.2
POWER DISTRIBUTED BY TYPE OF CONSUMER BY ELECTRIC COOPERATIVE
2010-2015
(In megawatt hours)
Electric Cooperative/Type of Consumer 2011 2012 2013 2014 2015
CAR 383,622 394,555 444,401 443,591 485,965
Residential 207,989 214,989 247,231 243,649 255,019

Commercial 137,413 140,982 150,790 152,855 159,002
Industrial 6,367 6,029 7,792 7,873 8,452
Public Buildings 21,072 21,568 25,665 25,872 51,198
Others 10,781 10,987 12,924 13,342 12,293
Abra Electric Cooperative 33,213 34,223 36,347 32,581 35,101
Residential 22,722 23,518 25,283 21,876 23,597

Commercial 3,750 3,973 4,257 3,650 3,931
Industrial 3,198 3,043 2,861 3,164 3,600
Others 627 631 603 464 468
Benguet Electric Cooperative 318,654 326,309 341,991 356,111 366,689
Residential 165,488 170,288 179,253 187,798 192,279

Commercial 129,538 132,632 137,213 141,705 147,046
Industrial 1,550 1,453 1,522 1,671 1,786
Others 7,297 7,346 8,522 8,948 9,395
Ifugao Electric Cooperative … … 13,916 16,023 41,990
Residential … … 8429 9,561 10,963

Commercial … … 2615 2,886 2,996
Industrial … … 548 1,035 1,054
Public Buildings … … 2046 2,250 26,688
Others … … 278 291 289
Kalinga-Apayao Electric Cooperative 18,022 19,352 36,347 24,354 27,825
Residential 12,272 13,089 25,283 16,732 19,352

Commercial 1,845 2,046 4,257 2,558 2,838
Industrial 1,619 1,533 2,861 2,003 2,012
Others 196 155 603 157 164
Mt. Province Electric Cooperative 13,733 14,671 15,800 14,523 14,359
Residential 7,507 8,094 8,983 7,683 8,828

Commercial 2,280 2,331 2,448 2,056 2,192
Industrial - - - - -
Others 2,661 2,855 2,918 3,483 1,976
Note: Details may not add up to totals due to rounding and unavailable data.
Sources: ABRECO, BENECO, KAELCO and MOPRECO
14 - 5
Table 14.3
SERVICE CONNECTIONS BY TYPE OF CONSUMER BY ELECTRIC COOPERATIVE
2011-2015
Electric Cooperative/
2011 2012 2013 2014 2015
Type of Consumer
CAR 241,028 250,281 295,926 312,824 326,435
Residential 222,236 230,919 273,588 289,591 302,451

Commercial 13,392 13,649 15,180 15,819 16,270
Industrial 299 298 516 526 576
Others 1/ 693 721 1,419 1,413 1,437
Abra Electric Cooperative 37,600 38,765 39,949 41,258 42,181
Residential 34,622 35,732 36,882 38,173 39,091

Commercial 1,447 1,477 1,483 1,489 1,489
Industrial 237 239 256 264 271
Public Buildings 997 1,028 1,037 1,063 1,071
Others 297 289 291 269 259
Benguet Electric Cooperative 145,501 150,740 159,064 166,867 170,749
Residential 133,684 138,615 146,825 153,995 157,511

Commercial 9,835 10,027 10,084 10,583 10,810
Industrial 16 19 21 20 25
Others 274 296 243 256 278
Ifugao Electric Cooperative … … 27,369 30,457 35,394
Residential … … 24,999 27,996 32,654

Commercial … … 1,373 1,441 1,654
Industrial … … 197 198 236
Public Buildings … … 800 822 850
Others … … - - -
Kalinga-Apayao Electric Cooperative 30,404 31,572 37,755 40,999 43,840
Residential 28,830 29,867 35,678 38,864 41,623

Commercial 659 710 548 554 563
Industrial 46 40 42 44 44
Public Buildings 818 901 683 732 795
Others 51 54 804 805 815
Mt. Province Electric Cooperative 27,523 29,204 31,789 33,243 34,271
Residential 25,100 26,705 29,204 30,563 31,572

Commercial 1,451 1,435 1,692 1,752 1,754
Industrial - - - - -
Public Buildings 901 982 812 845 860
Others 71 82 81 83 85
1/ BENECO (Streetlights and BAPA); MOPRECO (Streetlights and Sale for Resale)
Note: Details may not add up to totals due to rounding and unavailable data.
Sources: ABRECO, BENECO, KAELCO and MOPRECO
14 - 6
Table 14.4
AREA OF IRRIGATED LAND BY SEASON AND PROVINCE
(In Hectares)
2011-2016
Province / Year 2011 2012 2013 2014 2015 2016
CAR
Wet 44,615 45,940 49,049 49,137 51,391 52,354
Dry 44,912 43,714 48,265 49,811 51,097 51,249
Abra
Wet 5,885 6,150 6,400 6,652 6,987 6,761
Dry 5,361 6,170 6,100 6,500 6,529 6,576
Apayao
Wet 7,269 7,082 7,820 6,342 7,950 7,918
Dry 6,823 6,996 7,744 7,417 8,215 7,881
Benguet
Wet 7,896 7,964 8,394 8,585 8,650 8,855
Dry 7,525 7,894 8,585 8,454 8,500 8,602
Ifugao
Wet 4,799 6,812 7,049 7,874 7,808 8,066
Dry 5,412 6,513 7,035 7,927 7,961 7,898
Kalinga
Wet 14,474 12,151 12,695 13,075 13,296 13,985
Dry 14,275 10,380 12,296 12,963 13,272 13,637
Mt. Province
Wet 4,292 5,780 6,691 6,609 6,700 6,769
Dry 5,516 5,761 6,505 6,550 6,620 6,655
Note: Data on Irrigated area covers NIA-assisted Irrigation Systems

Source: National Irrigation Administration
Fig. 14.1 Area of Irrigated Land By Season, CAR: 2011 - 2016
54,000
52,000
50,000
Area (In Hectares)
48,000
46,000
44,000
42,000
Wet
40,000
Dry
38,000
2011 2012 2013 2014 2015 2016
Year
14 - 7
Table 14.5
GENERATED AREA OF IRRIGATION SYSTEMS/PROJECTS
BY TYPE AND PROVINCE
(In Hectares)
2011-2016
Province / Type 2011 2012 2013 2014 2015 2016
CAR 280 1,822 1,857 964 1,037 1,242
National - 130 280 350 91 240

Communal 280 1,471 1,577 614 946 1,002
Pump/Private - 221 - - - -
Abra 34 359 552 163 90 170
National - - - 42 17 -
Communal 34 309 552 121 73 170
Apayao 124 464 211 204 363 111
National - 80 80 50 - 57
Communal 124 324 131 154 363 54
Benguet 88 312 306 196 181 249
National - - - 137 8 21
Communal 88 277 306 59 173 228
Ifugao 28 337 183 127 59 51
National - - - 20 - 16
Communal 28 286 183 107 59 35
Kalinga - 203 388 217 242 539
National - 50 200 71 45 136

Communal - 144 188 146 197 403
Mt. Province 6 147 217 57 102 122
National - - - 30 21 10
Communal 6 131 217 27 81 112
14 - 8
Table 14.6
SERVICE AREA OF EXISTING IRRIGATION SYSTEMS BY TYPE AND PROVINCE
(In Hectares)
As of 31 December 2016
Potential Service Area

Assisted by
Province Irrigable Total National NIA Assisted Other Gov't Private
Area1/ Agency
CAR 185,406 96,227 15,896 52,988 3,746 23,597
Abra 25,670 18,229 59 10,770 654 6,746
Apayao 33,910 9,936 3,968 5,152 541 275
Benguet 25,746 14,977 165 10,277 511 4,024
Ifugao 25,830 14,925 3,504 8,759 388 2,274
Kalinga2 44,190 25,825 8,130 9,948 1,130 6,617
Mt. Province 30,060 12,335 70 8,082 522 3,661
May not add up to totals due to rounding.

1
Includes the famous Banaue Rice Terraces in Ifugao and most communal irrigation systems in the region which are
above 18% slope.
2
Kalinga Provincial Irrigation Management Office also operates 8,457 hectares in Isabela.
Figure 14.2 Service Area of Existing Irrigation Systems By Type

and Province, CAR, 2016
12,000
10,000
8,000
Area (In Hectares)
6,000
4,000
2,000
0
Abra Apayao Benguet Ifugao Kalinga Mt. Province
National NIA Assisted Other Government Agency Private

Province
14 - 9
Chapter 15
PUBLIC ADMINISTRATION
Data on the levels, patterns, and distribution of income and expenditures of local
government units (LGUs) are essential in measuring their capabilities to provide
public service to their constituents. Specifically, the level of income serves as a
criterion in the classification of LGUs. The classification, also provides a yardstick in
the allocation of resources and other forms of assistance. Furthermore, the data
provide a sound and logical basis in the choice of alternative options aimed at
balancing the sources and dispositions of resources. The data are also useful in
identifying priority program areas and localities in the community.
This chapter presents data on the average income of provincial, city and municipal
LGUs and their income classification. The Bureau of Local Government Finance of
the Department of Finance is the source of data. The chapter also includes data
pertaining to the annual statements of receipts and expenditures of LGUs classified by
level of government. The source of data is the Department of Budget and
Management.
HIGHLIGHTS
• On the basis of the financial statements of LGUs in CAR for CYs 2004-2007, the
income class of the Province of Apayao improved from 4th class to 3rd class
province.
• On the municipal level for CYs 2004-2007, the income classes of 13 out of 75
municipalities improved.
• Revenue collections in the region increased by 16.42 percent or about
P5.8 billion in 2016 to 6.7 billion in 2017.
15 - 1
Table 15.1 Average Income and Classification by Province/City/Municipality, 15-3
2000-2003, 2004-2006 and 2004-2007
Table 15.2 Revenue Collections by Kind of Tax and Province, 2014-2017 15-5
Table 15.3 Local Collections of Local Government Units, by Province, Municipality, 15-8
and City, 2012-2013
Table 15.4 Statement of Expenditures of Local Government Units, 2009-2011 15-22
Table 15.5 Summary of Receipts and Expenditures of Local Government Units, 15-23
2009-2011
15 - 2
Table 15.1
AVERAGE INCOME AND CLASSIFICATION BY PROVINCE, MUNICIPALITY AND CITY
2000-2003, 2004-2006 and 2004-2007
(Average income in million pesos)
Province/City/ Ave. Income Income Ave. Income Income Ave. Income Income
Municipality (2000-2003) Class (2004-2006) Class (2004-2007) Class
CAR
Abra 256.14 3rd 329.07 3rd 333.82 3rd
Apayao 206.37 4th 240.92 4th 271.00 3rd
Baguio City 570.15 1st 662.36 1st 770.61 1st
Benguet 299.90 2nd 392.41 2nd 379.16 2nd
Ifugao 219.30 3rd 269.33 3rd 283.43 3rd
Kalinga 240.06 3rd 283.21 3rd 300.64 3rd
Mt. Province 201.06 4th 247.68 4th 256.76 4th
Abra
Bangued 52.53 1st 65.85 1st 67.74 1st
Boliney 17.03 5th 18.95 5th 21.57 5th
Bucay 17.85 5th 21.65 5th 22.88 5th
Bucloc 10.53 5th 13.32 5th 14.56 6th
Daguioman 11.81 5th 14.99 5th 16.10 5th
Danglas 14.60 5th 17.24 5th 19.51 5th
Dolores 16.16 5th 18.16 5th 19.45 5th
La Paz 15.40 5th 23.68 5th 20.34 5th
Lacub 18.83 5th 18.94 5th 24.91 5th
Lagangilang 17.37 5th 19.54 5th 22.93 5th
Lagayan 16.31 5th 14.01 5th 21.90 5th
Langiden 12.85 5th 17.94 5th 17.36 5th
Licuan (Baay-Licuan) 17.87 5th 21.42 5th 23.39 5th
Luba 15.40 5th 18.32 5th 21.26 5th
Malibcong 18.53 5th 22.86 5th 24.44 5th
Manabo 16.85 5th 20.69 5th 24.63 5th
Penarrubia 12.11 5th 13.98 5th 13.51 6th
Pidigan 13.89 5th 17.09 5th 21.33 5th
Pilar 18.05 5th 18.38 5th 24.50 5th
Sal-lapadan 11.41 5th 17.30 5th 19.29 5th
San Isidro 10.94 5th 14.04 5th 17.52 5th
San Juan 14.68 5th 17.58 5th 19.21 5th
San Quintin 12.61 5th 14.53 5th 17.61 5th
Tayum 15.91 5th 19.23 5th 21.45 5th
Tineg 34.18 3rd 38.54 3rd 45.86 2nd
Tubo 23.11 4th 28.73 4th 30.90 4th
Villaviciosa 12.86 5th 16.76 5th 19.06 5th
Apayao
Calanasan 55.45 1st 68.90 1st 72.39 1st
Conner 38.50 3rd 47.71 3rd 51.22 2nd
Flora 27.41 4th 30.98 4th 35.49 3rd
Kabugao 42.79 2nd 54.96 2nd 56.40 1st
Luna 39.62 3rd 46.59 3rd 51.87 2nd
Pudtol 24.33 4th 30.52 4th 31.33 4th
Santa Marcela 18.87 5th 23.87 5th 25.78 4th
Source: Bureau of Local Government and Finance
15 - 3
AVERAGE INCOME AND CLASSIFICATION BY PROVINCE, MUNICIPALITY AND CITY
2000-2003, 2004-2006 and 2004-2007
(Average income in million pesos)
Province/City/ Ave. Income Income Ave. Income Income Ave. Income Income
Municipality (2000-2003) Class (2004-2006) Class (2004-2007) Class
Benguet
Atok 25.43 4th 29.58 4th 31.14 4th
Bakun 26.81 4th 37.73 4th 37.65 3rd
Bokod 25.69 4th 29.42 4th 31.64 4th
Bugias 30.08 3rd 37.03 3rd 39.82 3rd
Itogon 53.13 1st 61.18 1st 72.76 1st
Kabayan 21.44 4th 26.38 4th 28.45 4th
Kapangan 21.65 4th 28.43 4th 29.38 4th
Kibungan 24.01 4th 29.95 4th 31.15 4th
La Trinidad 79.04 1st 100.94 1st 102.47 1st
Mankayan 33.30 3rd 42.51 3rd 55.39 1st
Sablan 18.90 5th 24.11 5th 22.35 5th
Tuba 44.69 2nd 53.93 2nd 61.68 1st
Tublay 18.08 5th 23.08 5th 23.92 5th
Ifugao
Aguinaldo 33.48 3rd 42.24 3rd 45.25 2nd
Alfonso Lista 30.60 3rd 38.17 3rd 41.82 3rd
Asipulo 16.93 5th 23.06 5th 23.83 5th
Banaue 24.40 4th 31.46 4th 32.08 4th
Hingyon 14.70 5th 16.92 5th 18.24 5th
Hungduan 21.26 4th 25.51 4th 26.50 4th
Kiangan 22.05 4th 27.66 4th 28.58 4th
Lagawe 24.90 4th 30.46 4th 32.56 4th
Lamut 23.06 4th 29.58 4th 31.37 4th
Mayoyao 24.06 4th 22.42 4th 30.77 4th
Tinoc 19.79 5th 24.69 5th 25.90 4th
Kalinga
Balbalan 32.01 3rd 39.07 3rd 41.40 3rd
Lubuagan 22.68 4th 25.25 4th 26.29 4th
Pasil 18.30 5th 22.45 5th 24.01 5th
Pinukpuk 47.04 2nd 54.67 2nd 58.65 1st
Rizal 22.26 4th 26.90 4th 29.33 4th
Tabuk City 70.48 1st 92.48 1st 95.06 5th
Tanudan 23.25 4th 25.48 4th 29.36 4th
Tinglayan 23.06 4th 28.96 4th 30.19 4th
Mt. Province
Barlig 16.81 5th 22.19 5th 24.41 5th
Bauko 26.51 4th 33.45 4th 34.48 4th
Besao 18.83 5th 22.08 5th 24.35 5th
Bontoc 34.27 3rd 45.63 3rd 47.48 2nd
Natonin 20.27 4th 25.62 4th 27.28 4th
Paracelis 35.58 3rd 43.71 3rd 46.66 2nd
Sabangan 16.20 5th 18.62 5th 19.34 5th
Sadanga 14.97 5th 17.85 5th 19.04 5th
Sagada 16.62 5th 20.54 5th 21.32 5th
Tadian 22.80 4th 28.45 4th 29.52 4th
15 - 4
Table 15.2
REVENUE COLLECTIONS BY KIND OF TAX AND PROVINCE
2014-2017
(In Pesos)
Revenue District/
1st Quarter 2nd Quarter 3rd Quarter 4th Quarter Total
Type of Tax
2014
CAR 987,302,237 1,157,697,553 1,027,361,330 1,162,962,181 4,335,323,300

Tax on Income and Profit 649,632,951 772,441,126 712,207,257 777,193,423 2,911,474,758
Value-Added Tax 231,861,166 283,386,533 226,926,859 282,791,510 1,024,966,067
Percentage Tax on Services 65,144,633 56,953,995 59,320,039 57,399,525 238,818,192
Excise Tax 1,400,267 1,416,902 2,051,774 1,903,742 6,772,685
Other Taxes 39,263,219 43,498,997 26,855,401 43,673,981 153,291,598
Abra 59,447,937 70,040,014 53,604,065 58,432,390 241,524,406

Tax on Income and Profit 39,705,535 46,017,617 35,229,739 42,004,047 162,956,938
Value-Added Tax 15,733,114 19,965,313 15,021,705 12,931,942 63,652,075
Excise Tax - - - - -
Other Taxes 1,857,341 2,145,171 838,509 789,198 5,630,219
Baguio City 513,452,473 671,144,104 565,075,965 652,945,025 2,402,617,570

Value-Added Tax 114,653,313 181,124,287 125,409,795 170,970,915 592,158,309
Excise Tax 657,334 464,913 482,243 516,112 2,120,602
Other Taxes 20,127,765 27,473,332 12,091,942 23,452,763 83,145,801
Benguet 211,250,083 219,518,678 214,479,581 233,120,177 878,368,518

Value-Added Tax 47,649,236 40,024,937 41,098,618 42,921,959 171,694,750
Excise Tax 207,277 256,627 419,039 542,376 1,425,319
Other Taxes 11,408,570 8,496,282 9,505,431 12,317,895 41,728,178
Kalinga-Apayao 104,372,895 91,965,524 95,834,146 101,717,730 393,890,294

Value-Added Tax 28,662,986 22,515,630 26,541,709 28,277,599 105,997,924
Excise Tax 141,142 401,619 463,430 547,784 1,553,974
Other Taxes 2,316,118 2,195,821 1,654,022 2,337,022 8,502,982
Ifugao 37,412,985 51,179,463 44,335,494 53,334,850 186,262,793

Value-Added Tax 9,193,220 9,890,185 10,332,152 14,235,920 43,651,476
Excise Tax 180,400 79,078 417,310 108,154 784,942
Other Taxes 2,081,885 1,604,374 1,101,512 1,370,076 6,157,847
Mountain Province 61,365,864 53,849,770 54,032,078 63,412,010 232,659,722

Value-Added Tax 15,969,297 9,866,181 8,522,880 13,453,174 47,811,532
Excise Tax 214,114 214,665 269,752 189,316 887,848
Other Taxes 1,471,540 1,584,017 1,663,986 3,407,028 8,126,572
15 - 5
Revenue District/
Type of Tax
2015
CAR 1,081,831,331 1,268,237,746 1,215,044,911 1,314,048,524 4,879,162,512

Value-Added Tax 234,451,078 261,739,847 300,590,913 336,348,205 1,133,130,041
Excise Tax 2,311,175 1,650,802 1,410,949 2,319,021 7,691,947
Other Taxes 45,171,670 45,998,054 41,565,686 38,026,016 170,761,426
Abra 63,128,150 76,317,519 95,520,949 82,910,160 317,876,777

Value-Added Tax 14,298,625 24,606,465 34,477,606 27,309,343 100,692,039
Other Taxes 2,055,690 1,555,968 1,392,301 1,125,669 6,129,628
Baguio City 635,708,676 770,355,178 666,740,450 769,484,079 2,842,288,383

Value-Added Tax 131,369,626 148,682,388 138,554,223 179,201,813 597,808,050
Excise Tax 1,038,914 271,937 313,501 146,065 1,770,417
Other Taxes 21,387,942 22,591,512 22,800,200 13,776,092 80,555,746
Benguet 187,855,227 207,046,236 208,668,054 213,278,455 816,847,972

Value-Added Tax 40,369,435 43,411,937 49,864,463 55,203,207 188,849,042
Excise Tax 288,821 399,440 299,068 445,092 1,432,421
Other Taxes 14,033,962 14,118,414 11,001,355 9,024,714 48,178,445
Kalinga-Apayao 86,884,178 111,872,496 127,415,332 130,735,366 456,907,373

Value-Added Tax 23,744,895 24,271,451 43,438,064 42,808,338 134,262,748
Excise Tax 494,721 595,785 394,052 1,176,436 2,660,993
Other Taxes 4,166,484 4,598,874 2,480,439 9,265,924 20,511,720
Ifugao 55,556,133 57,752,713 55,552,271 59,309,143 228,170,260

Value-Added Tax 15,102,173 14,860,593 17,107,530 18,254,541 65,324,837
Excise Tax 324,435 162,513 89,543 94,964 671,455
Other Taxes 2,021,677 2,161,667 1,758,441 1,361,628 7,303,412

Value-Added Tax 9,566,324 5,907,013 17,149,026 13,570,962 46,193,325
Excise Tax 164,284 221,128 314,785 456,464 1,156,661
Other Taxes 1,505,916 971,620 2,132,950 3,471,988 8,082,474
15 - 6
Revenue District/
Type of Tax
2016
CAR 1,132,218,464 1,525,356,863 1,373,062,228 1,723,599,648 5,754,237,204

Value-Added Tax 313,985,308 423,770,299 414,429,835 419,476,087 1,571,661,529
Excise Tax 2,288,473 2,978,220 3,395,981 5,236,660 13,899,334
Other Taxes 71,677,605 54,260,927 53,965,900 330,867,085 510,771,515
Abra 89,832,599 135,963,085 110,326,179 100,760,120 436,881,983

Value-Added Tax 28,681,196 56,666,848 38,322,566 32,922,429 156,593,039
Other Taxes 1,647,652 1,247,877 1,855,683 1,531,733 6,282,946
Baguio City 571,417,514 871,932,424 732,020,316 1,104,270,383 3,279,640,637

Value-Added Tax 160,576,676 237,220,487 236,757,815 252,533,600 887,088,579
Excise Tax 510,707 1,235,318 1,640,312 2,996,038 6,382,375
Other Taxes 42,390,514 37,466,429 28,395,480 314,813,238 423,065,661
Benguet 216,010,875 235,884,268 239,855,756 233,013,319 924,764,218

Value-Added Tax 50,019,343 50,745,996 62,152,694 63,714,344 226,632,377
Excise Tax 292,598 395,510 454,677 572,609 1,715,394
Other Taxes 17,611,471 10,167,194 12,802,262 10,426,939 51,007,866
Kalinga-Apayao 122,399,122 144,447,462 155,608,974 145,773,752 568,229,310

Value-Added Tax 36,256,985 42,920,532 45,041,283 41,557,447 165,776,248
Excise Tax 1,099,013 1,120,587 684,993 731,928 3,636,520
Other Taxes 4,282,191 2,377,743 7,897,532 1,915,848 16,473,313
Ifugao 63,121,973 66,208,134 66,757,779 67,385,243 263,473,129

Value-Added Tax 21,024,996 18,324,154 18,253,244 18,806,121 76,408,515
Excise Tax 93,340 102,397 452,077 425,998 1,073,813
Other Taxes 3,488,132 1,808,626 1,659,113 1,393,909 8,349,780

Value-Added Tax 17,426,112 17,892,282 13,902,232 9,942,146 59,162,772
Excise Tax 292,815 124,409 163,922 510,087 1,091,233
Other Taxes 2,257,644 1,193,058 1,355,829 785,418 5,591,949
15 - 7
Revenue District/
Type of Tax
2017
CAR 1,432,152,591 1,712,581,926 1,655,692,145 1,898,411,740 6,698,838,403

Tax on Income and Profit 849,610,756 1,131,428,474 1,036,169,754 1,121,182,384 4,138,391,367
Value-Added Tax 366,133,019 385,226,224 453,927,744 596,779,852 1,802,066,840
Excise Tax 3,606,078 4,238,441 4,970,838 7,516,474 20,331,831
Other Taxes 60,585,872 53,291,103 53,095,842 57,790,093 224,762,910
Abra 105,519,367 115,357,702 106,564,278 161,504,184 488,945,530

Value-Added Tax 31,990,697 36,448,882 29,755,682 72,211,712 170,406,973
Excise Tax - - 23,700 3,200 -
Other Taxes 2,931,163 1,760,257 1,908,638 3,593,797 10,193,856
Baguio City 771,116,432 1,034,523,357 941,274,595 1,024,705,217 3,771,619,601

Value-Added Tax 198,617,760 231,057,746 259,859,135 309,653,665 999,188,306
Excise Tax 1,407,917 1,577,755 1,886,588 3,365,403 8,237,663
Other Taxes 31,989,464 32,639,197 33,502,622 31,460,582 129,591,865
Benguet 221,736,977 236,967,870 234,648,516 298,401,260 991,754,623

Value-Added Tax 53,798,618 52,040,302 54,555,858 81,085,155 241,479,932
Excise Tax 359,925 320,213 415,690 1,405,409 2,501,237
Other Taxes 16,361,735 13,217,688 11,517,320 13,277,155 54,373,897
Kalinga-Apayao 170,281,778 167,838,068 199,653,555 216,384,093 754,157,493

Value-Added Tax 52,000,808 44,034,085 68,010,835 72,362,065 236,407,793
Excise Tax 989,220 1,820,386 1,794,379 1,643,698 6,247,683
Other Taxes 4,475,183 2,714,800 2,629,685 5,233,997 15,053,665
Ifugao 80,203,879 69,113,582 85,664,148 99,714,809 334,696,417

Value-Added Tax 22,054,775 18,657,443 22,984,672 32,835,903 96,532,792
Excise Tax 376,911 95,153 460,250 392,860 1,325,174
Other Taxes 3,110,922 1,600,493 1,580,370 2,200,134 8,491,920

Value-Added Tax 7,670,361 2,987,766 18,761,564 28,631,353 58,051,044
Excise Tax 472,104 424,934 390,232 705,904 1,993,173
Other Taxes 1,717,405 1,358,669 1,957,206 2,024,427 7,057,707
15 - 8
Table 15.3
LOCAL COLLECTIONS OF LOCAL GOVERNMENT UNITS, BY PROVINCE, MUNICIPALITY AND CITY
2012-2013
(In Pesos)
Local Government Unit/ Particulars 2012 2013
CAR 9,792,947,690.86 9,784,930,545.91
Provinces
Local Sources:
Tax Revenue
Real Property Tax 47,365,363.46 119,938,293.41
Business Tax 20,591,022.74 20,271,065.66
Other Local Taxes 7,360,907.73 8,122,369.48
Total Tax Revenue 75,317,293.93 148,331,728.55
Non Tax Revenue
Regulatory Fees
Permits and License Fees 3,554,431.50 -
Other Fees - -
Service Income 206,824,355.84 227,139,279.52
Business Income 137,290,317.01 135,008,060.06
Other Income / Receipts 33,664,949.35 36,450,026.70
Total Non Tax Revenue 377,779,622.20 398,597,366.28
External Sources:
Internal Revenue Allotment 2,761,747,096.00 3,033,721,722.00
Other Share from National Tax Collection
a. Share from Ecozone - -
b. Share from EVAT - -
c. Share from National Wealth 47,612,320.28 -
d. Share from PAGCOR / PSCO / Lotto 109,885.83 -
e. Share from Tobacco Excise Tax 138,285,254.00 -
Extraordinary Receipts
a. Grant and Donations 1,700,000.00 -
b. Other Subsidy Income - -
Extraordinary Gains and Premiums
a. Gain on Sale of Assets 14,243,128.06 -
b. Gain on Sale of Investments - -
Inter-local Transfer
a. Subsidy from LGUs - -
b. Subsidy from Other - Funds 122,506,081.09 -
Capital/Investment Receipts
a. Proceeds from Sale of Assets 85,466.00 -
b. Proceeds from Sale of Debt Securities - -
c. Collection of Loan Receivables - -
Receipts from Loans and Borrowings 137,131,600.00 -
TOTAL RECEIPTS 3,676,517,747.39 3,580,650,816.83
Cities
Local Sources:
Tax Revenue
Business Tax 224,147,042.47 237,006,228.04
Source: Bureau of Local Government Finance
15 - 8
Non Tax Revenue

Regulatory Fees
Other Fees - -
Service Income 68,150,456.82 105,873,935.18
Business Income 97,698,430.08 104,926,625.09
External Sources:
Internal Revenue Allotment 902,965,795.00 968,665,594.00
a. Share from Ecozone 143,108,882.43 -
c. Share from National Wealth - -
d. Share from PAGCOR / PSCO / Lotto 1,775,819.46 -
e. Share from Tobacco Excise Tax - -
a. Grant and Donations - -
a. Gain on Sale of Assets - -
Inter-local Transfers
b. Subsidy from Other - Funds 100,830.00 -
a. Proceeds from Sale of Assets 10,105,314.17 -
Receipts from Loans and Borrowings - -
TOTAL RECEIPTS 1,674,811,110.17 1,651,935,070.72
Municipalities
Local Sources:
Tax Revenue
Business Tax 103,364,738.88 127,760,689.76
Non Tax Revenue
Regulatory Fees
Permits and License Fees 48,907,278.65 0.00
Other Fees - 0.00
Service Income 60,030,009.29 118,234,970.15
Business Income 66,647,003.26 83,957,022.49
External Sources:
Internal Revenue Allotment 3,616,266,127.69 4,044,456,466.00
15 - 9
2012-2013
(In Pesos)
b. Share from EVAT 84,949.00 -

b. Other Subsidy Income 12,671,257.60 -
a. Subsidy from LGUs 3,635,423.98 -
Capital/Investment Receipts - -
c. Collection of Loan Receivables 140,883.60 -
TOTAL RECEIPTS 4,441,618,833.30 4,552,344,658.36
ABRA
Province
Local Sources:
Tax Revenue
Business Tax 4,862,869.19 3,699,676.26
Other Local Taxes 300,675.70 284,986.54
Non Tax Revenue
Regulatory Fees
Permits and License Fees 433,745.50 -
Other Fees - -
Service Income 28,777,004.28 27,458,249.98
Business Income 2,207,712.90 379,850.00
Other Income / Receipts 921,345.61 953,509.13
External Sources:
d. Share from PAGCOR / PSCO / Lotto - -
a. Gain on Sale of Assets 14,191,737.06 -
15 - 10
b. Subsidy from Other - Funds 122,506,081.09 -
TOTAL RECEIPTS 830,236,496.94 603,966,437.84
Municipalities
Local Sources:
Tax Revenue
Business Tax 20,672,639.02 30,549,699.33
Non Tax Revenue
Regulatory Fees
Other Fees - -
Service Income 5,702,451.00 16,603,565.05
Business Income 13,433,810.35 15,182,967.12
External Sources:
Internal Revenue Allotment 954,382,233.00 1,057,665,262.00
b. Other Subsidy Income 12,603,698.00 -
Extraordinary Gains and Premiums -
a. Subsidy from LGUs 750,000.00 -
b. Subsidy from Other - Funds - -
a. Proceeds from Sale of Assets - -
TOTAL RECEIPTS 1,278,313,101.56 1,139,312,346.86
15 - 11
2012-2013
(In Pesos)
APAYAO
Province
Local Sources:
Tax Revenue
Business Tax 2,575,162.93 3,425,434.39
Non Tax Revenue
Regulatory Fees
Other Fees - -
Service Income 6,508,984.78 7,678,712.89
Business Income 4,729,163.65 7,955,219.31
External Sources:
TOTAL RECEIPTS 600,565,837.21 525,269,801.44
Municipalities
Local Sources:
Tax Revenue
Business Tax 4,749,043.78 6,290,773.29
15 - 12
Non Tax Revenue

Regulatory Fees
Other Fees - -
Service Income 4,254,283.08 9,453,570.90
Business Income 5,629,062.95 6,898,632.31
Other Income / Receipts 2,593,821.95 402,748.10
External Sources:
TOTAL RECEIPTS 637,773,950.42 626,243,685.11
BENGUET
Province
Local Sources:
Tax Revenue
Business Tax 4,233,018.52 3,529,427.57
Non Tax Revenue
Regulatory Fees
Other Fees - -
Service Income 28,455,131.15 32,734,934.42
Business Income 121,981,194.94 118,715,503.73
External Sources:
15 - 13
2012-2013
(In Pesos)

TOTAL RECEIPTS 765,621,762.39 820,322,408.25
Municipalities
Local Sources:
Tax Revenue
Business Tax 61,865,080.06 63,538,602.63
Non Tax Revenue
Regulatory Fees
Other Fees - -
Service Income 30,458,747.24 58,382,258.03
Business Income 34,341,074.27 45,168,590.50
External Sources:
b. Other Subsidy Income 43,559.60 -
15 - 14
TOTAL RECEIPTS 1,037,271,074.00 1,113,965,344.24
IFUGAO
Province
Local Sources:
Tax Revenue
Business Tax 1,187,367.77 1,318,796.01
Non Tax Revenue
Regulatory Fees
Other Fees - -
Service Income 35,510,001.50 45,089,858.91
Business Income 908,851.38 969,889.73
External Sources:
e. Share from Tobacco Excise Tax 172,707.00 -
TOTAL RECEIPTS 485,431,873.88 549,320,700.68
15 - 15
2012-2013
(In Pesos)
Municipalities
Local Sources:
Tax Revenue
Business Tax 5,975,151.19 15,315,836.96
Non Tax Revenue
Regulatory Fees
Other Fees - -
Service Income 5,426,861.50 10,531,347.94
Business Income 11,410,366.45 14,014,602.86
External Sources:
a. Subsidy from LGUs 2,885,423.98 -
TOTAL RECEIPTS 634,099,254.80 673,940,499.55
KALINGA
Province
Local Sources:
Tax Revenue
Business Tax 3,414,131.35 2,737,152.39
15 - 16
Non Tax Revenue

Regulatory Fees
Other Fees - -
Service Income 48,714,291.31 59,413,382.50
Business Income - -
External Sources:
a. Gain on Sale of Assets 51,391.00 -
TOTAL RECEIPTS 520,304,507.27 589,663,787.33
Municipalities
Local Sources:
Tax Revenue
Real Property Tax 638,244.45 1,354,992.18
Business Tax 2,317,255.31 2,642,229.23
Non Tax Revenue
Regulatory Fees
Other Fees - -
Service Income 1,514,492.89 3,551,920.45
Business Income 1,832,689.24 2,692,229.70
External Sources:
Internal Revenue Allotment 389,052,999.00 432,494,597
15 - 17
2012-2013
(In Pesos)

a. Grant and Donations 978,000.00 -
b. Other Subsidy Income 24,000.00 -
TOTAL RECEIPTS 410,242,590.31 448,816,834.73
MT. PROVINCE
Province
Local Sources:
Tax Revenue
Business Tax 4,318,472.98 5,560,579.04
Non Tax Revenue
Regulatory Fees
Other Fees - -
Service Income 58,858,942.82 54,764,140.82
Business Income 7,463,394.14 6,987,597.29
Other Income / Receipts 1,325,322.44 822,037.45
External Sources:
a. Grant and Donations 1,700,000.00
15 - 18
TOTAL RECEIPTS 477,911,701.20 492,107,681.29
Municipalities
Local Sources:
Tax Revenue
Business Tax 7,785,569.52 9,423,548.32
Non Tax Revenue
Regulatory Fees
Other Fees - -
Service Income 12,673,173.58 19,712,307.78
Business Income - -
External Sources:
c. Share from National Wealth 13,596.00 -
a. Grant and Donations 500,000.00 -
TOTAL RECEIPTS 492,826,140.86 550,065,947.87
15 - 19
2012-2013
(In Pesos)
BAGUIO CITY
Local Sources:
Tax Revenue
Business Tax 216,169,603.45 228,854,646.11
Non Tax Revenue
Regulatory Fees
Other Fees - -
Service Income 64,297,191.34 99,823,810.84
Business Income 86,355,411.41 92,832,094.37
External Sources:
a. Share from Ecozone 143,108,882.43 -
a. Proceeds from Sale of Assets 10,105,314.17 -
TOTAL RECEIPTS 1,163,204,914.11 1,094,427,627.98
TABUK CITY
Local Sources:
Tax Revenue
Real Property Tax 841,379.47 2,463,595.54
Business Tax 7,977,439.02 8,151,581.93
15 - 20

Non Tax Revenue
Regulatory Fees
Other Fees - -
Service Income 3,853,265.48 6,050,124.34
Business Income 11,343,018.67 12,094,530.72
External Sources:
TOTAL RECEIPTS 511,606,196.06 557,507,442.74
15 - 21
Table 15.4
STATEMENT OF EXPENDITURES OF LOCAL GOVERNMENT UNITS
2009-2011
(In million pesos)
LGU / Particulars 2009 2010 2011
CAR
General Services 2,267.68 2,515.11 2,604.89
Economic Services 847.64 758.71 1,108.99
Social Services 890.49 1,025.25 996.17
Others 137.04 79.74 68.44
Abra
General Services 555.71 557.90 562.39
Economic Services 121.59 145.81 146.76
Social Services 122.51 115.00 117.39
Others 34.22 57.78 47.42
Apayao
Social Services 96.07 69.97 83.08
Others 8.90 8.94 6.82
Baguio City
Social Services 304.89 358.00 362.52
Others 0.00 0.00 0.00
Benguet
Social Services 126.23 143.55 144.91
Others 4.24 0.01 0.00
Ifugao
Others 6.40 8.26 10.10
Kalinga
Others 4.74 4.75 4.10
Mt. Province
Others 78.55 0.00 0.00
Source: Department of Budget and Management
15 - 22
Table 15.5
SUMMARY OF RECEIPTS AND EXPENDITURES OF LOCAL GOVERNMENT UNITS
2009-2011
(In million pesos)
Local Government Unit /

2009 2010 2011
Particulars
CAR
Total Financial Resources 9,542.82 10,392.68 10,519.99
Total Receipts 8,670.33 8,850.41 9,275.53
Beginning Balance 872.49 1,542.27 1,244.46
Total Expenditures 7,700.91 9,280.68 9,403.78
Ending Balance 1,841.92 1,112.00 1,116.21
Provincial Governments
Total Receipts 2,883.40 3,063.05 3,246.49
Beginning Balance 335.27 704.34 490.76
Ending Balance 867.48 490.76 462.01
City Government
Total Receipts 1,163.83 1,197.58 1,332.94
Ending Balance 323.26 188.26 258.26
Municipal Governments
Total Receipts 3,587.18 3,578.18 3,648.70
Ending Balance 526.81 366.36 332.06
Barangays
Total Receipts 1,035.92 1,011.60 1,047.40
Ending Balance 124.38 66.63 63.88
15 - 23
BANK
Chapter 16
MONEY & BANKING
Data pertaining to the operations of financial institutions provide indicators of the

area’s economy. The growth in the number of banking institutions operating in a certain
locality gives insights on the pace at which business and trade grows. Data on loans
granted by banks provide a picture of the level and nature of investments put up over
time. Statistics on loans outstanding of financial institutions, on the other hand, serve
as signals of the rate of turnover of investments. The money and banking sector plays
a vital role in the development of productive activities by proprietors or corporate
institutions in the area. The presence and accessibility of establishments providing
these services to existing and prospective investors contribute to the realization of
programs and projects aimed at industrial and entrepreneurial advancement.
This chapter presents data on the number of offices of the financial system in the
region, outstanding loans of financial institutions, loans granted by banks, balance
sheet accounts, income and expenses, and deposit liabilities of banks. The source of
data is the Bangko Sentral ng Pilipinas.
HIGHLIGHTS
 The region net loan portfolio increased by 11.3 percent or from P13.6 billion in
2016 to P15.1 billion in 2017.
 Deposits of all banks in CAR increased by 14.26 percent or from P96.4 billion to
P110.2 billion in 2017.
 In 2017, bulk or 60.8 percent of the total deposits in Universal and Commercial
banks came from savings deposit followed by demand deposits at 29.6 percent,
time deposit at 9.6percent and others at 0.01 percent.
16 - 1
Table 16.1 Number of Banking Offices by Bank Group and Province, 2012 - 2017 16-3
Table 16.2 Selected Balance Sheet Accounts and Total Income and Expenses 16-4
by Bank Group, 2016 - 2017
Table 16.3 Deposit Liabilities by Type of Deposit, Bank Group and Province, as of 16-5
December 31, 2016 and 2017
16 - 2
Table 16.1
NUMBER OF BANKING OFFICES BY BANK GROUP AND PROVINCE
2012-2017
Bank Group 1/ 2012 2013 2014 2015 2016 2017
CAR 148 150 155 159 165 177
Universal and Commercial Banks 63 64 67 71 73 74

Thrift Banks 11 13 14 16 16 19
Rural and Cooperative Banks 74 73 74 72 76 84
Abra 10 11 10 10 10 15

Thrift Banks - 1 1 1 1 2
Apayao 3 3 3 4 4 4

Thrift Banks - - - - - -
Benguet 2 113 114 119 120 124 130

Thrift Banks 11 12 13 14 14 16
Ifugao 7 7 7 9 10 11

Kalinga 6 6 7 9 9 9

Thrift Banks - - - 1 1 1
Mt. Province 9 9 9 7 8 8

1/ Based on the new classification of the Bangko Sentral ng Pilipinas
2/ Benguet includes Baguio City
Source: Bangko Sentral ng Pilipinas
16 - 3
Table 16.2
SELECTED BALANCE SHEET ACCOUNTS AND TOTAL INCOME AND EXPENSES
BY BANK GROUP AND PROVINCE
For the Years Ended 2016 and 2017
(In million pesos)
2016
Province / Accounts Universal and Thrift Rural and
Total
Commercial Banks Banks Cooperative Banks
CAR
Number of Banking Offices 165 73 16 76

Net Loan Portfolio 13,595 7,495 3,348 2,752
Abra

Net Loan Portfolio 384 192 - 193
Apayao
Number of Banking Offices 4 2 - 2

Net Loan Portfolio 393 * - *
Benguet 1/

Ifugao

Kalinga

Net Loan Portfolio 1,205 1,013 - 193
Mt. Province
* In view of the confidentiality of information on individual institution under Section (c) of Republic Act. No 7653
(The Central Bank Act), which prohibits personnel of the Bangko Sentral ng Pilipinas (BSP) from revealing or
disclosing information relating to the condition or business of any institution subject to BSP examination or
supervision, related statistics cannot be provided.
Source: Bangko Sentral ng Pilipinas
16 - 4
Table 16.2
SELECTED BALANCE SHEET ACCOUNTS AND TOTAL INCOME AND EXPENSES
BY BANK GROUP AND PROVINCE
For the Years Ended 2016 and 2017
(In million pesos)
2017
Province / Accounts Universal and Thrift Rural and
Total
Commercial Banks Banks Cooperative Banks
CAR

Abra

Apayao

Net Loan Portfolio 157 * - *
Benguet 1/

Ifugao

Net Loan Portfolio 1,073 882 - 191
Kalinga

Net Loan Portfolio 2,245 2,023 - 222
Mt. Province
16 - 5
Table 16.3
DEPOSIT LIABILITIES BY TYPE OF DEPOSIT, BANK GROUP AND PROVINCE
As of December 31, 2016 and 2017
(In million pesos)
As of December 31, 2016

Type of Deposit / Bank
Mt.
Group CAR Abra Apayao Benguet Ifugao Kalinga
Province
Universal and Commercial Banks
Total Deposits 84,463 5,353 * 66,383 3,088 4,445 3,297
Demand 23,175 1,606 * 14,786 1,846 2,238 1,266

Savings 53,318 3,517 * 43,912 1,232 2,175 2,022
Time 7,962 226 * 7,680 10 32 9
Others 8 3 * 4 - - -
Thrift Banks
Total Deposits 7,166 - - 7,166 - - -
Demand 623 - - 623 - - -

Savings 2,246 - - 2,246 - - -
Time 4,297 - - 4,297 - - -
Others - - - - -
Rural and Cooperative Banks
Total Deposits 4,796 78 * 3,604 220 243 560
Demand 15 - * 15 - - -
Savings 4,346 54 * 3,370 204 212 462
Time 435 24 * 219 15 31 98
Others - - * - - - -
16 - 6
Chapter 17
PUBLIC ORDER, SAFETY
& JUSTICE
Data on public order, safety, and justice reflect the effectively, efficiency, and fairness
in the administration and enforcement of laws. The basic goal of the government is to
establish a peaceful, stable, and just environment conducive to national growth and
development. A society where peace, order, and law prevail is not only a goal or a
vision. It forms one of the pillars of man’s basic rights. Development that is not coupled
with order, safety, and justice contribute to the degradation of society. The effects of
public order, safety, and justice to the national well-being and in every fiber of the
social and economic lives of the individuals are priority concerns of governance. In this
light, an information system that generates timely and reliable data becomes a
necessary tool in the administration of justice and enforcement of laws as well as to aid
legislation.
This chapter presents regional/provincial/city data on crimes and number of persons

arrested and number of policemen and firemen, fire incidence, including property
damages, law enforcement cases handled, and legal assistance extended. The
sources of data are the Philippine National Police for data on crimes, persons arrested
and law enforcers; the Bureau of Fire Protection of the Department of Interior and Local
Government for fire incidence; and the Public Attorney’s Office and Parole and
Probation Administration of the Department of Justice on cases handled and legal
assistance services.
HIGHLIGHTS
• Crime incidence in CAR decreased by 36 percent or from 23,251 to 14,773 crimes

between 2015 and 2015.6
• More than half or 69.05 percent of the crimes committed in 2016 were non-index
crimes (i.e., crimes against national security, violation of special laws). 43.53
percent of the total cases of non-index crime was reported in Baguio City.
• Affected families caused by tropical cyclones decreased by 99.57 percent in 2016,
from 51,945 families in 2015 to only 221 in 2016.
17 - 1
Table 17.1 Number and Rate of Crime by Type of Crime and Province, 2006 - 2016 17-3
Table 17.2 Crime Incidence and Crime Solution Rate by Province, 2006 - 2016 17-6
Table 17.3 Fire Incidence and Value of Damages by Province, 2008 - 2017 17-8
Table 17.4 Ratio of Policemen and Firemen to Population by Province, 2000-2010 17-10
Table 17.5 Clientele Assisted by the Public Attorney’s Office by Province, 2006 - 2016 17-12
Table 17.6 Cases Handled, Terminated and Pending by Type of Case and Province, 17-14
2011-2016
Table 17.7 Number of Persons Arrested by the Philippine National Police by Gender 17-16
and Province, 2012-2016
Table 17.8 Jail Population, For the Period August 1-31, 2008 17-17
Table 17.9 Number of Probationers, Parolees and Pardonees Supervised, Supervision 17-18
Referrals/Courtesy Supervision Received and Cases Dropped
by Province/City, 2014 - 2017
Table 17.10 Number of Tropical Cyclones, Affected Population and Casualties, CAR, 17-20
2013 - 2017
Table 17.11 Estimated Cost of Damage due to Tropical Cyclones, CAR, 2013 - 2017 17-20
Table 17.12 Number of Fireworks-Related Injuries by Year and Province, CAR, 17-21
2012 - 2016
Figure 17.1 Crime Rate by Type of Crime, 2006-2016 17-5
Figure 17.2 Fire Incidence in CAR, 2006-2016 17-9
Figure 17.3 Number of Persons Arrested by Province, 2014 - 2016 17-16
Figure 17.4 Cases Handled by Type of Case, CAR, 2016 17-17
17 - 2
Table 17.1
NUMBER AND RATE OF CRIME BY TYPE OF CRIME AND PROVINCE
2006 - 2016
Province/ All Crimes Population Index Crimes Non-Index Crimes

Year Volume Rate Reference Volume Rate Volume Rate
CAR
2006 1,288 82.6 1,559,500 905 58.0 383 24.6
2007 1,558 102.4 1,520,743 992 65.2 566 37.2
2008 1,141 70.2 1,625,600 839 51.6 302 18.6
2009 12,648 762.0 1,659,800 8,316 501.0 4,332 261.0
2010 9,162 566.7 1,616,867 5,902 365.0 3,260 201.6
2011 7,631 450.4 1,694,400 4,894 288.8 2,737 161.5
2012 10,827 644.9 1,678,892 6,667 397.1 4,160 247.8
2013 24,764 1,447.5 1,710,792 12,841 750.6 11,923 696.9
2014 25,363 1,482.5 1,710,792 10,162 594.0 15,201 888.5
2015 23,251 1,308.4 1,777,055 9,167 515.9 14,084 792.5
2016 14,773 831.3 1,777,055 4,572 257.3 10,201 574.0
Abra
2006 165 71.6 230,600 121 52.5 44 19.1
2007 201 87.0 230,953 133 57.6 68 29.4
2008 120 50.5 237,600 98 41.2 22 9.3
2009 1,265 525.6 240,700 670 278.4 595 247.2
2010 948 403.9 234,733 486 207.0 462 196.8
2011 703 287.9 244,200 405 165.8 298 122.0
2012 504 206.8 243,738 296 121.4 208 85.3
2013 2,195 883.8 248,369 1,017 409.5 1,178 474.3
2014 1,805 726.7 248,369 664 267.3 1,141 459.4
2015 1,627 119.8 257,900 547 212.1 1,080 418.8
2016 896 347.4 257,900 233 90.3 663 257.1
Apayao
2006 64 56.8 112,700 47 41.7 17 15.1
2007 50 48.2 103,633 42 40.5 8 7.7
2008 21 17.9 117,600 19 16.2 2 1.7
2009 412 341.6 120,600 273 226.4 139 115.3
2010 113 100.3 112,636 79 70.1 34 30.2
2011 171 138.3 123,600 121 97.9 50 40.5
2012 101 86.4 116,957 74 63.3 27 23.1
2013 322 270.2 119,179 167 140.1 155 130.1
2014 433 363.3 119,179 175 146.8 258 216.5
2015 330 84.8 123,751 144 116.4 186 150.3
2016 296 239.2 123,751 108 87.3 188 151.9
Notes: 1) Population figures for 2006 were taken from the 2000 Census-Based Population Projections.
2) Population figures for 2007 were taken from the 2007 Census of Population.
3) Population figures for 2008 and 2009 were taken from the 2000 Census-Based Population
Projections.
4) Population figures for 2010 were taken from the 2010 Census of Population
5) Population figures for 2011-2016 were estimates from PROCOR.
Sources:1) Police Regional Office-Cordillera Administrative Region
2) Philippine Statistics Authority
17 - 3
NUMBER AND RATE OF CRIME BY TYPE OF CRIME AND PROVINCE
2006 - 2016
Province/ Total Population Index Crimes Non-Index Crimes

Baguio City
2006 642 221.1 290,311 453 156.0 189 65.1
2007 716 237.1 301,926 423 140.1 293 97.0
2008 621 198.2 313,270 463 147.8 158 50.4
2009 6,384 1,994.5 320,074 4,228 1,320.9 2,156 673.6
2010 4,864 1,526.3 318,676 3,152 989.1 1,712 537.2
2011 4,512 1,391.8 324,176 2,992 923.0 1,520 468.9
2012 7,202 2,176.5 330,901 4,554 1,376.2 2,648 800.2
2013 13,334 3,954.5 337,188 6,800 2,016.7 6,534 1,937.8
2014 11,442 3,393.4 337,188 5,146 1,526.2 6,296 1,867.2
2015 11,034 3,151.5 350,123 4,806 1,372.7 6,228 1,778.8
2016 6,965 1,989.3 350,123 2,525 721.2 4,440 1,268.1
Benguet
2006 169 44.5 379,689 115 30.3 54 14.2
2007 307 82.4 372,533 194 52.1 113 30.3
2008 212 54.8 386,530 140 36.2 72 18.6
2009 2,167 548.7 394,926 1,574 398.6 593 150.2
2010 1,467 363.2 403,944 1,039 257.2 428 106.0
2011 821 202.0 406,524 505 124.2 316 77.7
2012 1,312 312.8 419,439 793 189.1 519 123.7
2013 5,317 1,244.0 427,409 2,737 640.4 2,580 603.6
2014 6,769 1,583.7 427,409 2,393 559.9 4,376 1,023.8
2015 6,197 1,394.4 444,436 2,156 485.1 4,041 909.2
2016 4,307 969.1 444,436 1,084 243.9 3,223 725.2
Ifugao
2006 73 39.4 185,100 50 27.0 23 12.4
2007 61 33.8 180,711 48 26.6 13 7.2
2008 54 27.9 193,500 40 20.7 14 7.2
2009 697 353.1 197,400 415 210.2 282 142.9
2010 467 244.4 191,078 267 139.7 200 104.7
2011 426 211.4 201,500 248 123.1 178 88.3
2012 532 268.1 198,408 264 133.1 268 135.1
2013 932 461.0 202,178 579 286.4 353 174.6
2014 1,474 729.1 202,178 319 157.8 1,155 571.3
2015 1,354 645.0 209,933 427 203.4 927 441.6
2016 900 428.7 209,933 305 145.3 595 283.4
Kalinga
2006 89 44.3 200,800 58 28.9 31 15.4
2007 93 51.0 182,326 63 34.6 30 16.5
2008 38 18.1 210,000 22 10.5 16 7.6
2009 981 456.1 215,100 644 299.4 337 156.7
2010 707 350.7 201,613 456 226.2 251 124.5
2011 396 180.2 219,700 295 134.3 101 46.0
2012 691 330.1 209,347 460 219.7 231 110.3
2013 1,650 773.5 213,325 934 437.8 716 335.6
2014 2,137 1,001.8 213,325 903 423.3 1,234 578.5
2015 1,727 779.7 221,509 642 289.8 1,085 489.8
2016 819 369.7 221,509 157 70.9 662 298.9
17 - 4
Province/ Total Population Index Crimes Non-Index Crimes

Mt. Province
2006 86 53.6 160,300 61 38.1 25 15.6

2007 130 87.4 148,661 89 59.9 41 27.6
2008 75 44.9 167,100 57 34.1 18 10.8
2009 742 433.9 171,000 512 299.4 230 134.5
2010 596 386.5 154,187 423 274.3 173 112.2
2011 602 344.6 174,700 328 187.8 274 156.8
2012 485 302.9 160,102 226 141.2 259 161.8
2013 1,014 621.5 163,144 607 372.1 407 249.5
2014 1,302 798.1 163,144 562 344.5 740 453.6
2015 982 579.7 169,403 445 262.7 537 317.0
2016 551 325.3 169,403 142 83.8 409 241.4
Figure 17.1 Crime Rate by Type of Crime, CAR, 2006 - 2016

(per 100,000 Population)
1,400.0
1,200.0
Number per 100,000 Population
Non-Index
1,000.0 Index
800.0
600.0
400.0
200.0
-
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
Year
17 - 5
Table 17.2
CRIME INCIDENCE AND CRIME SOLUTION RATE BY PROVINCE
2006 - 2016
Crime Incidence
Province / Year Total Crimes Solved Solution Rate
Index Non-lndex
CAR
2006 905 383 1,288 1,120 87.0
2007 992 566 1,558 1,208 77.5
2008 839 302 1,141 983 86.2
2009 8,316 4,332 12,648 896 7.1
2010 5,902 3,260 9,162 1,285 14.0
2011 4,894 2,737 7,631 1,642 21.5
2012 6,667 4,160 10,827 2,506 23.1
2013 12,841 11,923 24,764 15,909 64.2
2014 10,162 15,201 25,363 15,783 62.2
2015 9,167 14,084 23,251 15,248 65.6
2016 4,572 10,201 14,773 8,689 58.8
Abra
2006 121 44 165 120 72.7
2007 133 68 201 141 70.1
2008 98 22 120 86 71.7
2009 670 595 1,265 59 4.7
2010 486 462 948 103 10.9
2011 405 298 703 130 18.5
2012 296 208 504 200 39.7
2013 1,017 1,178 2,195 985 44.9
2014 664 1,141 1,805 1,457 80.7
2015 547 1,080 1,627 1,271 78.1
2016 233 663 896 573 64.0
Apayao
2006 47 17 64 41 64.1
2007 42 8 50 40 80.0
2008 19 2 21 19 90.5
2009 273 139 412 33 8.0
2010 79 34 113 44 38.9
2011 121 50 171 40 23.4
2012 74 27 101 47 46.5
2013 167 155 322 224 69.6
2014 175 258 433 224 51.7
2015 144 186 330 174 52.7
2016 108 188 296 152 51.4
Baguio City
2006 453 189 642 601 93.6
2007 423 293 716 675 94.3
2008 463 158 621 549 88.4
2009 4,228 2,156 6,384 385 6.0
2010 3,152 1,712 4,864 770 15.8
2011 2,992 1,520 4,512 996 22.1
2012 4,554 2,648 7,202 1,427 19.8
2013 6,800 6,534 13,334 9,852 73.9
2014 5,146 6,296 11,442 8,152 71.2
2015 4,806 6,228 11,034 7,737 70.1
2016 2,525 4,440 6,965 4,075 58.5
Source: Police Regional Office-Cordillera Administrative Region
17 - 6
Crime Incidence
Province / Year Total Crimes Solved Solution Rate
Index Non-lndex
Benguet
2006 115 54 169 158 93.5
2007 194 113 307 296 96.4
2008 140 72 212 205 96.7
2009 1,574 593 2,167 236 10.9
2010 1,039 428 1,467 95 6.5
2011 505 316 821 174 21.2
2012 793 519 1,312 379 28.9
2013 2,737 2,580 5,317 2,429 45.7
2014 2,393 4,376 6,769 3,034 44.8
2015 2,156 4,041 6,197 3,192 51.5
2016 1,084 3,223 4,307 2,422 56.2
Ifugao
2006 50 23 73 55 75.3
2007 48 13 61 56 91.8
2008 40 14 54 46 85.2
2009 415 282 697 37 5.3
2010 267 200 467 128 27.4
2011 248 178 426 115 27.0
2012 264 268 532 57 10.7
2013 579 353 932 507 54.4
2014 319 1,155 1,474 698 47.4
2015 427 927 1,354 718 53.0
2016 305 595 900 503 55.9
Kalinga
2006 58 31 89 74 83.1
2007 63 30 93 80 86.0
2008 22 16 38 32 84.2
2009 644 337 981 93 9.5
2010 456 251 707 121 17.1
2011 295 101 396 116 29.3
2012 460 231 691 180 26.0
2013 934 716 1,650 1,223 74.1
2014 903 1,234 2,137 1,677 78.5
2015 642 1,085 1,727 1,192 69.0
2016 157 662 819 561 68.5
Mt. Province
2006 61 25 86 71 82.6
2007 89 41 130 110 84.6
2008 57 18 75 46 61.3
2009 512 230 742 53 7.1
2010 423 173 596 24 4.0
2011 328 274 602 71 11.8
2012 226 259 485 216 44.5
2013 607 407 1,014 689 67.9
2014 562 740 1,302 541 41.6
2015 445 537 982 561 57.1
2016 142 409 551 320 58.1
17 - 7
17 - 8
Table 17.3
FIRE INCIDENCE AND VALUE OF DAMAGES BY PROVINCE
2008-2017
(In pesos)
Province/Year Incidence Value of Damages
CAR
2008 97 64,640,249
2009 163 57,106,619
2010 533 56,214,484
2011 363 68,137,640
2012 206 65,687,680
2013 371 52,507,070
2014 440 62,836,652
2015 389 60,565,500
2016 407 102,482,341
2017 289 61,075,383
Abra
2008 12 11,507,000
2009 9 2,015,000
2010 36 3,523,995
2011 34 16,556,550
2012 25 5,573,900
2013 78 7,892,300
2014 85 17,030,850
2015 67 6,049,500
2016 26 19,656,350
2017 28 2,976,733
Apayao
2008 - -
2009 2 343,500
2010 - -
2011 12 4,055,000
2012 10 1,568,700
2013 11 630,000
2014 11 293,000
2015 18 3,468,500
2016 16 8,512,029
2017 15 605,500
Benguet1
2008 31 18,338,100
2009 116 37,583,441
2010 357 29,595,200
2011 236 37,899,900
2012 120 16,564,180
2013 168 23,478,700
2014 186 14,929,700
2015 164 23,864,700
2016 163 55,129,150
2017 144 31,949,300
1
Benguet includes Baguio City
Source: Bureau of Fire Protection
17-9
Province/Year Incidence Value of Damages
Ifugao
2008 6 595,000
2009 7 2,028,150
2010 53 18,316,933
2011 20 3,542,290
2012 9 1,687,600
2013 29 3,379,700
2014 19 9,829,859
2015 25 12,809,000
2016 40 8,626,812
2017 17 2,514,850
Kalinga
2008 25 1,194,000
2009 17 1,375,720
2010 27 1,384,500
2011 27 1,603,600
2012 15 17,273,100
2013 37 9,595,070
2014 55 5,532,768
2015 37 6,402,950
2016 74 2,585,350
2017 36 17,355,500
Mt. Province
2008 23 3,480,900
2009 12 13,760,809
2010 60 3,393,856
2011 34 4,480,300
2012 27 23,020,200
2013 48 7,531,300
2014 84 15,220,475
2015 78 7,970,850
2016 88 7,972,650
2017 49 5,673,500
Figure 17.2 Fire Incidence in CAR, 2006 - 2016

600
500
400
Number
300
200
100
0
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Year
17 - 10
Table 17.4
RATIO OF POLICEMEN AND FIREMEN TO POPULATION BY PROVINCE
2000-2010
Province/ Population Policemen Firemen

Year Number Ratio Number Ratio
CAR
2000 1,365,412 3,033 1:2,949 325 1:4,319
2001 1,435,013 2,544 1:564 269 1:5,335
2002 1,466,456 2,868 1:511 … …
2003 1,497,900 … … 308 1:4,786
2004 1,529,425 … … … …
2005 1,526,800 … … 387 1:4,033
2006 1,559,500 … … 356 1:4,381
2007 1,520,743 … … 371 1:4,099
2008 1,625,600 … … 375 1:4,335
2009 1,659,800 … … 373 1:4,450
2010 1,616,867 3,721 1:435 … …
Abra
2000 209,491 647 1:324 28 1:7,482
2001 212,730 232 1:917 28 1:7,598
2002 215,441 554 1:389 … …
2003 218,155 … … 21 1:10,388
2004 220,873 … … … …
2005 227,100 … … 33 1:6,775
2006 230,600 … … 34 1:6,782
2007 230,943 … … 34 1:6,793
2008 237,600 … … 38 1:6,253
2009 240,700 … … 40 1:6,018
2010 234,733 570 1:412 … …
Apayao
2000 97,129 243 1:243 19 1:4,899
2001 94,873 232 1:409 18 1:5,271
2002 96,659 227 1:426 … …
2003 98,444 … … 28 1:3,516
2004 100,237 … … … …
2005 110,000 … … 29 1:3,518
2006 112,700 … … … …
2007 103,633 … … … …
2008 117,600 … … 35 1:3,360
2009 120,600 … … 36 1:3,350
2010 112,636 237 1:475 … …
Baguio City
2000 252,386 490 1:515 62 1:4,071
2001 290,837 543 1:536 72 1:4,039
2002 302,104 563 1:537 … …
2003 313,378 … … 96 1:3,264
2004 324,680 … … … …
2005 283,985 … … 65 1:5,169
2006 290,311 … … 72 1:4,032
2007 301,926 … … 81 1:3,727
2008 313,270 … … 76 1:4,122
2009 320,074 … … 77 1:4,157
2010 318,676 471 1:677 … …
Sources: 1) Police Regional Office-Cordillera Administrative Region
2) Bureau of Fire Protection
17 - 11
Province/ Population Policemen Firemen

Year Number Ratio Number Ratio
Benguet
2000 330,129 535 1:617 131 1:2,520
2001 327,240 509 1:643 66 1:4,958
2002 353,752 500 1:708 … …
2003 360,262 … … 76 1:4,740
2004 366,787 … … … …
2005 371,415 … … 87 1:4,291
2006 379,689 … … 88 1:4,315
2007 372,533 … … 85 1:4,383
2008 386,530 … … 104 1:3,717
2009 394,926 … … 101 1:3,910
2010 403,944 461 1:876 … …
Ifugao
2000 161,623 354 1:457 31 1:5,214
2001 170,449 324 1:526 31 1:5,498
2002 173,975 320 1:544 … …
2003 177,494 … … 33 1:5,379
2004 181,031 … … … …
2005 181,100 … … 39 1:4,732
2006 185,100 … … 42 1:4,407
2007 180,711 … … 43 1:4,203
2008 193,500 … … 47 1:4,117
2009 197,400 … … 46 1:4,291
2010 191,078 294 1:650 … …
Kalinga 1/
2000 174,023 384 1:453 27 1:6,445
2001 173,877 362 1:480 27 1:6,440
2002 177,065 360 1:492 … …
2003 180,257 … … 31 1:5,815
2004 183,450 … … … …
2005 196,200 … … 33 1:5,656
2006 200,800 … … 38 1:5,284
2007 182,326 … … 37 1:4,928
2008 210,000 … … 40 1:5,250
2009 215,100 … … 39 1:5,515
2010 201,613 335 1:602 … …
Mt. Province
2000 140,631 380 1:370 27 1:5,201
2001 145,028 342 1:424 27 1:5,371
2002 147,471 344 1:429 … …
2003 149,921 … … 28 1:5,354
2004 152,372 … … … …
2005 157,000 … … 34 1:4,553
2006 160,300 … … 35 1:4,580
2007 148,661 … … 34 1:4,372
2008 167,100 … … 35 1:4,774
2009 171,000 … … 34 1:5,029
2010 154,187 345 1:447 … …
Notes: 1) Population figures for 2000 were taken from the 2000 Census of Population.
2) Population figures for 2001-2004 were taken from the 1995 Census-Based City/Municipal
Population Projections.
3) Population figures for 2005-2006 were taken from the 2000 Census-Based Population Projections.
5) Population figures for 2008 and 2009 were taken from the 2000 Census-Based Population Projections.
17 - 12
Table 17.5
CLIENTELE ASSISTED BY THE PUBLIC ATTORNEY'S OFFICE BY PROVINCE
2007 - 2016
Province / Clientele 2007 2008 2009 2010
CAR
Detention Prisoners Assisted 3,756 1,521 2,405 3,655

Beneficiaries of Legal Counselling 18,837 17,516 23,747 27,040
Clients Benefitted with Admin. of Oath 50,819 32,918 38,991 41,414
Abra
Detention Prisoners Assisted 60 172 392 467

Clients Benefitted with Admin. of Oath 6,084 164 523 763
Apayao

Beneficiaries of Legal Counselling 570 444 922 1,024
Clients Benefitted with Admin. of Oath 178 444 430 637
Baguio City

Benguet

Ifugao
Detention Prisoners Assisted 2,167 779 241 421

Clients Benefitted with Admin. of Oath 692 48 1,624 1,942
Kalinga

Mountain Province

Clients Benefitted with Admin. of Oath 656 878 915 1,630
Source: Public Attorney's Office, Department of Justice
17 - 13
2011 2012 2013 2014 2015 2016
3,430 7,351 6,891 5,907 6,167 7,323

29,508 32,776 23,488 19,347 25,905 32,065
43,309 33,180 30,053 29,382 33,957 34,103
627 548 1,236 232 494 395

4,823 2,360 4,404 2,016 3,572 3,869
1,245 767 1,194 1,037 1,294 1,582
514 404 663 547 464 304

1,963 3,000 3,306 3,888 4,796 4,621
835 1,910 2,674 3,699 3,573 3,091
426 2,696 1,828 2,204 2,387 2,467

11,964 15,076 4,915 4,026 5,737 8,911
31,246 16,767 17,001 14,681 15,405 12,411
1,124 2,541 2,276 1,818 1,498 2,107

3,712 5,887 5,996 4,080 5,573 5,791
2,967 9,346 4,035 2,983 3,672 4,993
56 609 341 446 754 1,263

1,978 768 560 773 1,252 1,870
1,869 283 457 589 715 1,046
334 270 293 428 251 236

2,637 2,092 1,947 1,853 1,565 1,411
3,245 1,351 1,350 1,752 1,769 2,666
349 283 254 232 319 551

2,431 3,593 2,360 2,711 3,410 5,592
1,902 2,756 3,342 4,641 7,529 8,314
17 - 14
Table 17.6
CASES HANDLED,TERMINATED AND PENDING BY TYPE OF CASE AND PROVINCE
2013 - 2016
Province/ 2013 2014
Type of Case Handled Terminated Pending Handled Terminated Pending
CAR
Criminal 5,075 2,375 2,700 5,633 2,366 3,267
Civil 881 332 549 720 85 569
Administrative 115 58 57 210 132 78
Prosecutor's Office 366 254 112 347 236 111
Labor cases 162 86 76 203 76 131
Abra
Criminal 477 158 319 981 91 890
Civil 153 41 112 73 9 64
Administrative 3 - 3 3 1 2
Prosecutor's Office 41 7 34 25 - 25
Labor cases - - - 1 - 1
Apayao
Criminal 140 87 53 94 62 32
Civil 16 9 7 18 14 4
Labor cases - - - 4 2 6
Baguio City
Criminal 2,261 1,061 1,200 2,635 1,321 1,314
Civil 75 41 34 91 62 29
Labor cases 156 83 73 198 74 124
Benguet
Criminal 1,284 770 514 1,110 554 556
Civil 184 71 113 173 - 173
Administrative 11 8 3 12 12 -
Prosecutor's Office 2 2 - 17 12 5
Labor cases - - - - - -
Ifugao
Criminal 320 118 202 319 140 179
Civil 90 26 64 79 - 79
Prosecutor's Office - - - - - -
Kalinga
Criminal 430 76 354 390 133 257
Civil 212 75 137 133 - 67
Labor cases 6 3 3 - - -
Mountain Province
Criminal 163 105 58 104 65 39
Civil 151 69 82 153 - 153
Source: Public Attorney's Office, Department of Justice
17 - 15
Province/ 2015 2016
Type of Case Handled Terminated Pending Handled Terminated Pending
CAR
Criminal 6,804 2,911 3,893 6,107 1,998 3,812
Civil 791 271 520 889 278 611
Administrative 165 61 104 198 79 119
Labor cases 195 116 79 124 82 42
Abra
Criminal 1,503 233 1,270 1,652 241 1,411
Civil 148 14 134 193 51 142
Labor cases 6 6 - - - -
Apayao
Criminal 101 23 78 159 57 102
Civil 9 7 2 19 5 14
Baguio City
Criminal 2,716 1,642 1,074 1,630 745 885
Civil 79 49 30 62 31 31
Labor cases 189 110 79 124 82 42
Benguet
Criminal 1,468 598 870 1,551 588 963
Civil 154 41 113 180 51 129
Ifugao
Criminal 304 108 196 494 164 33
Civil 75 28 47 79 14 65
Prosecutor's Office - - - 1 - 1
Kalinga
Criminal 638 263 375 463 110 353
Civil 149 63 86 131 15 116
Mountain Province
Criminal 74 44 30 158 93 65
Civil 177 69 108 225 111 114
17 - 16
Table 17.7
NUMBER OF PERSONS ARRESTED BY THE PHILIPPINE NATIONAL POLICE
BY GENDER AND PROVINCE
2014 - 2016
2014 2015 2016

Province
Women Men Total Women Men Total Women Men Total
CAR 532 2,579 3,111 549 2,929 3,478 537 2,788 3,325
Abra 31 351 382 37 365 402 32 431 463

Apayao 31 112 143 16 131 147 11 115 126
Baguio City 278 864 1,142 265 952 1,217 295 968 1,263
Benguet 134 782 916 166 891 1,057 137 673 810
Ifugao 19 169 188 21 248 269 20 248 268
Kalinga 25 206 231 34 244 278 33 250 283
Mt. Province 14 95 109 10 98 108 9 103 112
Source: Police Regional Office-Cordillera Administrative Region
Figure 17.3 Number of Persons Arrested by Province: 2014 - 2016
4,000
2016 2015 2014
3,500
3,000
2,500
Number
2,000
1,500
1,000
500
0
Abra Apayao Baguio City Benguet Ifugao Kalinga Mt. Province
Province
17 - 17
Table 17.8
JAIL POPULATION
For the Period August 1-31, 2008
Sentenced Detained
Location of
Adult Minor Total Adult Minor Total
Jail
Male Female Male Female Male Female Male Female
CAR 33 3 - - 36 864 100 11 - 975
Abra - - - - - 63 2 - - 65
Apayao - - - - - 58 3 - - 61
Baguio City 33 3 - - 36 429 59 5 - 493
Benguet - - - - - 96 31 6 - 133
Ifugao - - - - - 95 2 - - 97
Kalinga - - - - - 81 3 - - 84
Mt. Province - - - - - 42 - - - 42
Source: Bureau of Jail Management and Penology
Figure 17.4 Cases Handled by Type of Case: CAR, 2016

(by Public Attorney's Office)
Labor Cases
1%
Prosecutor's
Office
4% Criminal
Administrative 80%
2%
Civil
13%
17 - 18
Table 17.9
NUMBER OF PROBATIONERS, PAROLEES AND PARDONEES SUPERVISED,
SUPERVISION REFERRALS/COURTESY SUPERVISION RECEIVED
AND CASES DROPPED BY PROVINCE/CITY
2014 - 2017
Province/City/Indicator 2014 2015 2016 2017
CAR
Clients Supervised 714 657 716 778

Supervision Referrals Received 179 190 261 326
Courtesy Supervision Received 13 19 29 26
Cases Dropped 220 230 226 162
Terminated 115 142 178 139
Revoked 12 7 8 3
Transferred to other Court 40 57 8 19
Others 1/ 53 24 32 1
Abra
Courtesy Supervision Received 1 - 1 1
Terminated 10 3 10 7
Revoked - - - -
Transferred to other Court - 3 - 1
Others 1/ 16 - 1 -
Apayao
Courtesy Supervision Received - 1 - 3
Revoked 1 1 - -
Transferred to other Court 4 - - -
Others 1/ 7 2 1 -
Baguio City

Revoked 8 3 6 -
Others 1/ 9 6 14 -
1/ - Includes cases of those who died

Source: Parole and Probation Administration
17 - 19
NUMBER OF PROBATIONERS, PAROLEES AND PARDONEES SUPERVISED,
SUPERVISION REFERRALS/COURTESY SUPERVISION RECEIVED
AND CASES DROPPED BY PROVINCE/CITY
2014 - 2017
Province/City/Indicator 2014 2015 2016 2017
Benguet

Revoked 2 3 2 1
Others 1/ 7 6 10 -
Ifugao
Revoked 0 0 0 0
Others 1/ 4 3 3 1
Kalinga
Courtesy Supervision Received - 2 3 0
Revoked - - - -
Transferred to other Court - 1 - -
Others 1/ 7 4 2 -
Mt. Province
Courtesy Supervision Received 2 1 - 6
Revoked 1 - - 2
Others 1/ 3 3 1 -
1/ - Includes cases of those who died
17 - 20
Table 17.10
NUMBER OF TROPICAL CYCLONES, AFFECTED POPULATION AND CASUALTIES
2013 - 2017
Item 2013 2014 2015 2016 2017
Number of Tropical Cyclones 5 5 11 7 8
Affected Population
Families 10,372 16,646 51,945 221 154
Persons 48,045 73,760 350,521 827 562
Casualties
Dead 3 - 57 16 2
Injured 35 5 27 4 1
Missing 3 2 2 1 -
Note: 1) Tropical Cyclone - a meteorological term for a storm system characterized by a low pressure center
and thunderstorms that produce strong wind and flooding rain. Depending on their location and
strength, tropical cyclones are referred to by various other names, such as hurricane , typhoon , tropical
storm, cyclonic storm , and tropical depression . (Wikipedia)
Source: Office of Civil Defense
Table 17.11
ESTIMATED COST OF DAMAGE DUE TO TROPICAL CYCLONES
2013 - 2017
(Damage to Agriculture and Infrastructure in million pesos)
Estimated Cost of Damage 2013 2014 2015 2016 2017
Damage to Houses
Totally damaged houses 322 84 343 2917 0
Partially damaged houses 3,681 2,191 3,355 40,553 8
Damage to Agriculture 379.9 81.7 1,103.3 3,873.6 312.8
Damage to Infrastructure 704.9 94.7 2,933.8 3,456.9 63.4
Total Cost of Damage 1,084.7 176.4 4,037.1 7,330.5 376.1
Source: Office of Civil Defense
17 - 21
Table 17.12
NUMBER OF FIREWORKS-RELATED INJURIES BY YEAR AND PROVINCE
2011 - 2016
Province / City 2011 2012 2013 2014 2015 2016
Abra 23 19 … … 25 6
Apayao 2 4 … … 14 2
Baguio 13 15 … … 11 4
Benguet 3 9 … … 9 2
Ifugao 2 3 … … 1 3
Kalinga 5 3 … … 2 3
Mt. Province 4 5 … … 1 1
CAR 52 58 … … 63 21
Note: Fireworks - devices for producing a striking display of light, noise or smoke by the combustion of
explosive or flammable compositions. (Webster's Encyclopedic Dictionary)
1
Although the periods covered are labeled in years, the actual duration monitored covers only the period from
December 21 of the year indicated to January 4 of the following year and not the whole year.
Source: Department of Health
17 - 22
APPENDIX
TABLE OF CONTENTS
GLOSSARY OF TERMS
Agriculture and Agrarian Reform Appendix – 2
Economic Accounts Appendix – 3
Education Appendix – 4
Energy and Water Resources Appendix – 6
Environment and Natural Resources Appendix – 7
Income and Prices Appendix – 9
Establishment Characteristics: Industrial Sector Appendix – 11
Labor and Employment Appendix – 11
Money and Banking Appendix – 13
Population and Housing Appendix – 14
Public Administration Appendix – 15
Public Order, Safety and Justice Appendix – 16
Social Services Appendix – 17
Tourism Appendix – 19
Trade Appendix – 20
Transportation and Communications Appendix – 20
Vital, Health and Nutrition Appendix – 21
Appendix - 1
Glossary of Terms
AGRICULTURE AND AGRARIAN REFORM
Agricultural Production - the growing of field crops, fruits, nuts, seeds, tree nurseries (except those of forest
trees), bulb vegetables and flowers, both in the open and under glass; and the production of coffee, tea,
cocoa, rubber; and the production of livestock and livestock products, honey, rabbits, fur-bearing animals,
silkworm, cocoons, etc. Forestry and fishery activities carried out as an ancillary activity on an agricultural
holding is also considered as agricultural production. (Philippine Statistics Authority)
Animals, Slaughter – animals intended for meat production. (National Economic and Development
Authority)
Aquaculture – sector of fisheries that includes the rearing or raising under controlled conditions of
aquatic products such as fish, oysters, mussels, sea weeds and other aquatic resources in sea, lakes and
rivers. Examples are fishponds, fish pens and fish cages. (Philippine Statistics Authority)
Area Harvested – refers to land used for agricultural operation reported as many times as it was planted
and harvested to the same crop or different crops during the reference period. (Philippine Statistics
Authority)
Cooperative – a duly registered association of at least fifteen (15) persons with a common bond of interest
who voluntarily join together to achieve a lawful common social and economic end. (Cooperative
Development Authority)
Kinds of cooperatives:
Consumers’ Cooperative – the primary purpose is to procure and distribute commodities to

members and non-members. (Cooperative Development Authority)
Cooperative Bank – organized by, the majority shares of which is owned and controlled by,
cooperatives primarily to provide financial and credit services to cooperatives. (Cooperative
Cooperative Federation – an organization of primary and/or secondary cooperatives with a single

line or multi-purpose business activities. (Cooperative Development Authority)
Cooperative Union – an organization of cooperatives and federations at appropriate levels to

represent the interest and welfare of all types of cooperatives at the provincial, city, regional and
national levels. (Cooperative Development Authority)
Credit Cooperative – promotes thrift and savings among its members and creates funds in order to
grant loans for productive and provident purposes. (Cooperative Development Authority)
Laboratory Cooperative – a cooperative formed and managed principally by minors and which is
affiliated with a registered cooperative. (Cooperative Development Authority)
Marketing Cooperative – engages in the supply of production inputs to members, and markets
their products. (Cooperative Development Authority)
Multi-Purpose Cooperative – engages in two (2) or more types of business activities. (Cooperative
Producers’ Cooperative – undertakes joint production whether agricultural or industrial.

(Cooperative Development Authority)
Appendix - 2
Service Cooperative – engages in medical and dental care, hospitalization, transportation,
insurance, housing, labor, electric light and power, communication and other services. (Cooperative
Crop Production – the growing of staple food crops, fruits, nut and other food crops and commercial crops.
(Philippine Statistics Authority)
Crops, Permanent – crops which occupy the land for a long period of time and do not need to be replaced
after each harvest such as fruit trees, shrubs, nuts, etc. These crops may be productive, which have already
borne fruits or capable of bearing fruits, or non-productive. (Philippine Statistics Authoriy)
Crops, Temporary – crops which are grown seasonally and whose growing cycle is less than one year and
which must be sown or planted again for production after each harvest. (Philippine Statistics Authoriy)
Farm – any piece or pieces of land having a total area of at least 1,000 square meters used wholly or partly
for growing crops such as palay, corn, fruits, vegetables, nuts, etc., and/or tending of livestock and/or
poultry, regardless of number; or any land regardless of area, used for the raising of at least 20 heads of
livestock and/or poultry. (Philippine Statistics Authoriy)
Farm Area – refers to the physical or actual measurement of the land, reported only once regardless of how
many times it was used during the reference period. (Philippine Statistics Authoriy)
Farmer Beneficiaries – landless residents of the same barangay or landless residents of the same
municipality who are agricultural lessees and share tenants; regular farm workers; seasonal farm workers;
other farm workers; actual tillers or occupants of public lands; collective or cooperatives of the above
beneficiaries; and other directly working on the land. (Department of Agrarian Reform)
Fishing, Commercial – sector of fisheries that includes the catching of fish in marine waters with the use of
fishing boat of more than three (3) gross tons. (Philippine Statistics Authority)
Fishing, Municipal – sector of fisheries that includes the catching of fish in marine and inland waters with
the use of fishing boat of three (3) gross tons or less, or using gear not requiring the use of boats.
Livestock – domesticated animals with four legs and with hoofs. The different livestock are carabaos,
cattles, goats, horses, rabbits, etc. (Philippine Statistics Authoriy)
Parcel – one contiguous piece of land under one form of tenure without regard to land use. A piece of land
is contiguous if it is not separated by natural or man-made boundaries that are not part of the farm/holding.
(Philippine Statistics Authoriy)
Poultry – are classified as chickens whether native or hybrid, ducks, quails, geese, etc. (Philippine Statistics
Authoriy)
ECONOMIC ACCOUNTS
Constant Prices (at constant prices) – valuation of transactions, wherein the influence of price changes from
the base year to the current year has been removed.
Current Prices (at current prices) – the value based on prices during the reference year; nominal value.
Expenditure on the GDP - Sum of the final uses of goods and services in the economy. Final uses refer to
the values at purchaser’s prices of goods and services used for the final consumption of households and
private non-profit institutions, general government both national and local government units, as well as
those used for gross fixed capital formation by both public and private enterprises and for exports (net of
imports) to the rest of the world. (Source: Analysis of the Revised PSNA and Manual on the Frameworks,
Source and Methods)
Appendix - 3
Gross Domestic Capital Formation - Consists of two major components:
gross fixed capital formation and
change in stocks.
Gross fixed capital formation refers to outlays on construction, durable equipment and breeding stocks,
orchard development and afforestation. Change in stocks refers to the difference between ending and
beginning inventories. Inventories or stocks consist of finished goods, work-in-progress, and raw
materials, which have been produced or purchased but not yet sold or consumed as intermediate inputs
during the accounting period. (Source: Manual on the Philippine System of National Accounts:
Framework, Sources and Methods)
Gross Domestic Product (GDP) – the value of all goods and services produced domestically; the sum of
gross value added of all resident institutional units engaged in production (plus any taxes, and minus any
subsidies, on products not included in the values of their outputs).
Gross Regional Domestic Product (GRDP) – aggregate of the gross value added or income from each
industry or economic activity of the regional economy.
Gross Value Added – the difference between gross output and intermediate inputs. Gross outputs of a
production unit during a given period is equal to the gross value of the goods and services produced during
the period and recorded at the moment they are produced, regardless of whether or not there is a change of
ownership. Intermediate inputs refer to the value of goods and services used in the production process
during the accounting period.
Per Capita – estimates expressed as the ratio of a particular transaction like GRDP over total population.
This is referred to as per capita GRDP.
Personal Consumption Expenditures - consist of actual and imputed expenditures of households for the
purpose of acquiring individual consumption goods and services.
Source: 1993 System of National Accounts developed by the Commission of the European Communities,
International Monetary Fund, Organisation for Economic Cooperation and Development, United Nations
and World Bank.
EDUCATION
Cohort Survival Rate ****** – the percentage of enrollees at the beginning grade or year in a given school
year who reached the final grade or year of the elementary of secondary level.
Completion Rate – the percentage of first year entrants in a cycle of education surviving to the end of the
cycle. (Department of Education)
Drop-out Rate – the proportion of pupils/students who leave school during the year as well as those who
complete the grade/year level but fail to enroll to the next grade/year level the following school year to the
total number of pupils/students enrolled during the previous school year. (Department of Education)
Elementary Education - the first stage of free and compulsory, formal education primarily concerned with
providing basic education and usually corresponding to six and seven grades. Elementary education can
likewise be attained through alternative learning system. (Department of Education)
Enrolment ****** – total number of pupils/students who register/enlist in a school year.
Enrolment Ratio, Gross – the total enrolment in a given level of education as a percentage of the population
which according to national regulations should be enrolled at this level. It is a measure of the “capacity” of a
region’s elementary or secondary schools. (Department of Education)
Formal Education – the systematic and deliberate process of hierarchically structured and sequential
Appendix - 4
learning corresponding to the general concept of elementary and secondary level of schooling. At the end of
each level, the learner needs a certification in order to enter or advance to the next level. (Department of
Education)
Graduation Rate – the proportion of pupils/students who finished Grade VI/Fourth Year in the present
year to the number of pupils/students who enrolled in Grade VI/Fourth Year in the present year.
(Department of Education)
Higher Education - the stage of formal education requiring secondary and post-secondary education
covering the programs on: (a) all courses of study leading to bachelor’s degree and (b) all degree courses of
study beyond bachelor’s degree level. (Commission on Higher Education)
Highest Educational Attainment or Highest Grade Completed – refers to the highest grade or year
completed in school, college or university, by person 5 years of age and over. (Philippine Statistics
Authoriy)
Literacy – the ability to read and write a simple message. (Philippine Statistics Authoriy)
Literacy, Basic or Simple - the ability to read and write with understanding simple messages in any
language or dialect. (Philippine Statistics Authoriy)
Literacy, Functional - represents a significantly higher level literacy which includes not only reading and
writing skills but also numeracy skills. This skill must be sufficiently advanced to enable the individual to
participate fully and effectively in activities commonly occurring in his life situation that require a
reasonable capability of communicating by written language. (Philippine Statistics Authoriy)
Literacy Rate, Simple/Basic ****** - the percentage of the population 10 years old and over, who can read,
write and understand simple messages in any language or dialect.
Participation Rate ****** - the ratio of the enrolment for the age group corresponding to the official school
age in the elementary/secondary level to the population of the same age group in a given year. Also known
as Net Enrolment Ratio (NER).
Literate – a person who can both read and write a simple message in any language or dialect. (Philippine
Statistics Authoriy)
Performance Indicators – refer to several key indicators that can be computed and utilized for evaluating
the educational system’s performance at various levels, using the data available in the education statistics
data bank. These indicators constitute an important component of a management information system.
(Department of Education)
Post Secondary/Non-Degree Education - the stage of formal education following the secondary level
covering non-degree programs that have varying duration from three (3) months to three (3) years,
concerned primarily with developing strong and appropriately trained middle-level skilled manpower
possessing capabilities supportive of national development. (Department of Education)
Pre-School - a school that admits students who are not old enough to enter the first level of education.
These pupils are usually from 4 to 5 years of age. (Department of Education)
Primary School - a school primarily concerned with providing basic education and usually corresponding
to the first four grades of elementary education. (Department of Education)
Private Institutions/Schools - educational institutions maintained and administered by private individuals

or groups. (Department of Education)
Public Institutions/Schools – educational institutions established by law and administered by the

government. (Department of Education)
Repetition Rate – the proportion of pupils who enroll in the same grade/year more than once to the total
number of pupils/students enrolled in that grade/year during the previous year. (Department of
Appendix - 5
Education)
Retention Rate – the proportion of the enrolment in any school year that continues to be in school the
following year. (Department of Education)
School – institution recognized by the state which undertakes educational operations. (National Economic
and Development Authority)
School Year – the period of time, of approximately 32 to 40 weeks, when schools offer daily instruction
broken by short intermission periods (e.g., Christmas and summer vacations and holidays). (National
Economic and Development Authority)
Secondary School - an educational institution offering secondary education usually consisting of a four-year
general secondary curricula. (Department of Education)
Secondary Education - the stage of formal education following the elementary level concerned primarily
with continuing basic education and expanding it to include the learning of employable gainful skills,
usually corresponding to four years of high school. (Department of Education)
School Year - the prescribed period of time, when schools offer daily instruction broken by short
intermission periods (e.g., Christmas and summer vacations and holidays). (National Economic and
Student – one who regularly attends an educational institution of secondary or higher level. (National
Teacher – person engaged in actual teaching of a group of pupils/students on full-time or part-time basis.
(National Economic and Development Authority)
Tertiary Education – the level of education covering post-secondary and higher education. (Department of
Education)
Teacher-Pupil/Student Ratio – Gross – the proportion of the number of authorized positions for teachers at
a certain level in a given year to the enrolment at the same level in the same year. (Department of
Education)
Teacher-Pupil/Student Ratio – Net – the proportion of the number of teachers actually teaching at a certain
level in a given year to the enrolment at the same level in the same year. (Department of Education)
Transition Rate – the percentage of pupils who graduate from one level of education and move on to the
next higher level (from primary to intermediate; from intermediate to secondary). (Department of
Education)
ENERGY AND WATER RESOURCES
Distribution of Electricity - Refers to the conveyance or delivery of electricity by a distribution utility to

end-users.
Electric Cooperative - Refers to a cooperative or corporation authorized to provide electric service pursuant
to Presidential Decree No. 269, as amended, or Republic Act No. 6938.
Electricity Sales - Refers to the sales proceeds derived by the power producer from the actual generation of
the energy-generating facility net of station own use and losses.
Generation of Electricity - Refers to the production of electricity by a generation or co-generation facility.
Irrigation - the practice of artificially providing land with water to increase its agricultural productivity.
(Philippine Statistics Authoriy)
Appendix - 6
Irrigation System, Communal - an irrigation system owned by the community, association, farmers'
cooperative, etc. (Philippine Statistics Authoriy)
Irrigation System, Individual - an irrigation means provided personally by the operator for his
holding's/farm's irrigation needs. It could be rented borrowed, or owned by him or by any member of the
household. (Philippine Statistics Authoriy)
Irrigation System, National - a government owned irrigation system built or constructed to provide
continuous supply of water for agricultural purposes to farmers in exchange for a fee. (Philippine Statistics
Authoriy)
National Electrification Administration (NEA) - Refers to the government agency created under
Presidential Decree No. 269, to act as a catalyst for the development of electric distribution utilities (EDUs)
by providing world-class financial intermediation institutional and technical services.
National Power Corporation (NPC) - Refers to the government corporation created under Republic Act No.
6395, committed to the highest standards of customers satisfaction in providing quality and reliable
electricity with due care for society and the environment.
Potential Irrigable Service Area – the maximum area which an irrigation project can serve considering the
extent of arable lands and the available water supply. In case of an existing irrigation system, the potential
irrigable area is limited to the areas that can be commanded by the present operating level at the dimension
point. (Philippine Statistics Authority)
ENVIRONMENT AND NATURAL RESOURCES
Air Pressure – the pressure exerted by the earth’s atmosphere at any given point. (Random House
Webster’s College Dictionary)
Agricultural Land – land devoted to or suitable for the cultivation of the soil, planting of crops, growing of
trees, raising of livestock, poultry, fish or aquaculture production, including the harvesting of such farm
products, and other farm activities and practices performed in conjuction with such farming operations by
persons whether natural or judicial and not classified by laws as mineral land, forest land, commercial land,
and industrial land. (NSCB Resolution No. 7 Series of 2010)
Brushland – degraded or untimbered areas dominated by a discontinuous cover of shrubby vegetation.

(National Mapping and Resource Information Authority)
Fishpond – a body of water (artificial or natural) where fish and other aquatic products are cultured, raised
or cultivated under controlled conditions. (National Mapping and Resource Information Authority)
Forest* – refers to land with an area of more than 0.5 hectare and tree crown cover (or equivalent stocking
level) of more than 10 percent. The trees should be able to reach a minimum height of 5 meters at maturity
in situ. It consists either of closed forest formations where trees of various storeys and undergrowth cover a
high proportion of the ground or open forest formations with a continuous vegetation cover in which tree
crown cover exceeds 10 percent. Young natural stands and all plantations established for forestry purposes,
which have yet to reach a crown density of more than 10 percent or tree height of 5 meters are included
under forest.
These are normally forming part of the forest area, which are temporarily unstocked as a result of
human intervention or natural causes but which are expected to revert to forest. It includes forest nurseries
and seed orchards that constitute an integral part of the forest; forest roads, cleared tracts, firebreaks and
other small open areas; forest within protected areas; windbreaks and shelter belts of trees with an area of
more than 0.5 hectare and width of more than 20 meter; plantations primarily used for forestry purposes,
including rubber wood plantations. It also includes bamboo, palm and fern formations (except coconut and
oil palm). (Reference: Food and Agriculture Organization, 2000)
Appendix - 7
Forest, Classified Land – includes the public forest, the permanent forest or forest reserves, and forest
reservations. (Forest Management Bureau)
Forest, Dipterocarp – a forest type dominated by trees of the dipterocarp species, such as red lauan,
tanguile, tiaong, white lauan, almon, bagtikan, and mayapis of the Philippine mahogany group, apitong and
the yakals. (National Mapping and Resource Information Authority)
Forest, Mangrove – the type of forest occurring on tidal flats along the sea coast extending along the streams
where the water is brackish and composed mainly of bakauan, potolan, langarai, api-api, nipa palm and the
like. (National Mapping and Resource Information Authority)
Forest, Mossy – a tropical rain forest of the high elevations dominated by Podocarpaceae, Myrtaceae and
Fagaceae with trees of medium height and short boled, covered epiphytes. (National Mapping and
Resource Information Authority)
Forest, Old Growth – forest predominantly stocked with mature trees with less than 25 percent of the
mature stand volume removed by cutting. (National Mapping and Resource Information Authority)
Forest Product - all usable raw materials yielded by the forest including the associated water, fish, game,
scenic, historical, recreational and geologic resources. (Forest Management Bureau)
Forest, Unclassified Land – also known as public forest. Land of the public domain which has not been the
subject of the present system of classification for the determination of which lands are needed for forest
purposes and which are not. (National Mapping and Resource Information Authority)
Game Refuge and Bird Sanctuary – refers to a forest land designated for the protection of game animals,
birds and fish and closed to hunting and fishing in order that the excess population may flow and re-stock
surrounding areas. (National Mapping and Resource Information Authority)
Land, Alienable and Disposable – refers to those lands of the public domain which have been the subject of
the present system of classification and declared as not needed for forest purposes. (National Mapping and
Resource Information Authority)
Land Classification – refers to the establishment of boundaries between alienable and disposable lands and
forest lands. (National Mapping and Resource Information Authority)
Land Use – the manner of utilizing the land, including its allocation, development and management.
(NSCB Resolution No. 7 Series of 2010)
Minerals, Metallic – minerals with a high specific gravity and metallic luster, such as titanium, rutile,
tungsten, uranium, tin, lead, iron, etc. In general, the metallic minerals are good conductors of heat and
electricity. (National Mapping and Resource Information Authority)
Minerals, Non-Metallic – of or pertaining to a non-metal. In general, of mineral luster other than metallic.
Non-metals are naturally occurring substances that do not have metallic properties such as high luster,
conductivity, opaqueness and ductility. (National Mapping and Resource Information Authority)
National Park – forest reservation essentially of natural wilderness character which has been withdrawn
from settlement, occupancy or any form of exploitation except inconformity with approved management
plan and set aside as such exclusively to conserve the area or preserve the scenery, the natural and historic
objects, wild animals and plants therein to provide enjoyment of these features in such areas. (NSCB
Resolution No. 7 Series of 2010)
Ore – a mineral or aggregate of minerals which contain sufficient grade and quantity to be mined and
beneficiated at a profit. The mineral or rock can be further described depending on the major element
contained e.g., copper ore, gold ore, chromite ore, etc. (National Mapping and Resource Information
Authority)
Non-Timber Forest Product - includes all forest products except timber; also known as minor forest
product. (Forest Management Bureau)
Appendix - 8
Poles and Piles – logs for use as electric post, pier piling, railroad ties, sleepers and the like. (Forest
Management Bureau)
Rainfall (mm) - the amount of precipitation (rain, hail, etc.) expressed in millimeter depth, of the layer of
water which has fallen. (Philippine Atmospheric, Geophysical and Astronomical Services
Administration)
Relative Humidity – the amount of water vapor in the air, expressed as a percentage of the maximum
amount that the air could hold at the given temperature. (Random House Webster’s College Dictionary)
Reservation – refers to any tracts(s) of the public domain proclaimed by the President of the Philippines for
government use or any of its branches or instrumentalities or of the inhabitants thereof, for public or quasi-
public uses or purposes. The different reservations are as follows: (a) Civil – refers to lands of public domain
which have been proclaimed by the President of the Philippines for specific purposes such as townsites,
resettlement areas, ancestral lands, etc.; (b) Forest – refers to forest lands which have been reserved by the
President of the Philippines for any specific purpose or purposes; (c) Military – refers to land of the public
domain which has been proclaimed by the President of the Philippines for military purposes such as
Airbase, Campsite, Docks and Harbors. Firing Range, Naval Base, Target Range, Wharves, etc.; and (d)
Watershed – a forest land reservation established to protect or improve the condition of the water yield
thereof or reduce sedimentation. (National Mapping and Resource Information Authority)
Temperature – the degree of warmth or coldness. (Random House Webster’s College Dictionary)
Timberland – refers to land of the public domain which has been the subject of the present system of land
classification determined to be needed for forest purposes. Eventually, these lands will be proclaimed as
forest reserves by the President. (Forest Management Bureau)
Watershed – a land area drained by a stream or fixed body of water and its tributaries having a common
outlet for surface runoff. (NSCB Resolution No. 7 Series of 2010)
INCOME AND PRICES
Consumer Price Index (CPI)*** – Indicator of the change in the average prices of a fixed basket of goods
and services commonly purchased by households relative to a base year.
Family – is a group of persons usually living together and composed of the head and other persons related
to the head by blood, marriage and adoption. A single person living alone is considered a separate family.
(2000 FIES, Philippine Statistics Authoriy (PSA))
Family Expenditures – refers to the expenses or disbursements made by the family purely for personal
consumption during the reference period. They exclude all expenses in relation to farm or business
operations, investment ventures, purchase of real property and other disbursements which do not involve
personal consumption. Gifts, support, assistance or relief in goods and services received by the family from
friends, relatives, etc. and consumed during the reference period are included in the family expenditures.
Value consumed from net share of crops, fruits and vegetables produced or livestock raised by other
households, family sustenance and entrepreneurial activities are also considered as family expenditures.
(2000 FIES, PSA)
Family Income – includes primary income and receipts from other sources received by all family members
during the calendar year as participants in any economic activity or as recipients of transfers, pensions,
grants, etc. (2000 FIES, PSA)
Primary income includes:

Salaries and wages from employment.
Commissions, tips, bonuses, family and clothing allowance, transportation and representation
allowance and honoraria.
Other forms of compensation and net receipts derived from the operation of family-operated
Appendix - 9
enterprises/activities and the practice of profession or trade.
Income from other sources include:

Imputed rental values of owner-occupied dwelling units.
Interests.
Rentals including land owner’s share of agricultural products
Pensions
Support and value of food and non-food items received as gifts by the family (as well as the
imputed value of services rendered free of charge to the family).
Receipts from family sustenance activities, which are not considered as family operated enterprise.
Family Size – refers to the total number of family members enumerated. Included as family members are
those whose relationship to the household head is a wife, son, daughter, father, mother, son-in-law,
daughter-in-law, sister, brother, granddaughter and grandson or other relative. (Philippine Statistics
Authoriy)
Food Threshold (FT) ******* – the minimum income/expenditure required for a family/individual to meet
the basic food needs, which satisfies the nutritional requirements for economically necessary and socially
desirable physical activities.
Gini Ratio ******* - the ratio of the area between the Lorenz curve and the diagonal (the line of perfect
equality) to the area below the diagonal. It is a measure of the extent to which the distribution of income/
expenditure among families/individuals deviates from a perfectly equal distribution, with limits 0 for
perfect equality and 1 for perfect inequality.
Income Decile – Two levels of income deciles were utilized in the Family Income and Expenditures Survey
(FIES) – national and regional. The national income decile is obtained by ranking the weighted total family
income of all sample families in the Philippines from lowest to highest. Then these are grouped into tens.
The first tenth, meaning those with the lowest income, is called the first decile, the second tenth, second
decile and so on. A similar procedure is implemented for the regional decile, except that what is arrayed is
the weighted total family income of sample families in a given region. (Philippine Statistics Authoriy)
Inflation Rate - the annual rate of change or the year-on-year change in the Consumer Price Index.
Magnitude of the Poor - the number of families or the population whose annual per capita income falls
below the poverty threshold.
Poverty Incidence (PI) ******* - the proportion of families/individuals with per capita income/ expenditure
less than the per capita poverty threshold to the total number of families/individuals.
Poverty Threshold (PT) ******* – the minimum income/expenditure required for a family/ individual to
meet the basic food and non-food requirements. Basic food requirements are currently based on 100%
adequacy for the Recommended Energy and Nutrient Intake (RENI) for protein and energy equivalent to an
average of 2000 kilocalories per capita per day, and 80% adequacy for other nutrients. On the other hand,
basic non-food requirements, indirectly estimated by obtaining the ratio of food to total basic expenditures
from a reference group of families, cover expenditure on: 1) clothing and footwear; 2) housing; 3) fuel, light,
water; 4) maintenance and minor repairs; 5) rental of occupied dwelling units; 6) medical care; 7) education;
8) transportation and communication; 9) non-durable furnishings; 10) household operations; and 11)
personal care & effects.
Purchasing Power of the Peso*** - a measure of the real value of the peso in a given period relative to a
chosen reference period. It is computed by getting the reciprocal of the CPI and multiplying the result by
100.
Source of Income, Main – refers to the source from which most of the income of the family is obtained. If
the family has more than one source of income, the main source that would be considered is the source
where the bulk of income is derived. Main sources of income could either be: (a) Salaries and Wages –
includes all forms of compensation whether in cash or in kind received by family members who are regular
or occasional/seasonal workers in agricultural and non-agricultural industries; (b) Entrepreneurial Activity
– or a family-operated activity is any economic activity, business or enterprise whether in agricultural or in
Appendix - 10
non-agricultural enterprises, engaged by any member of the family as an operator or as self-employed.
Included as family-operated activities are those which are operated as single proprietorship or loose
partnership (without formal organizations). Thus, partnerships, corporations, associations, etc. which are
formally organized are excluded; or (c) Other Sources – refer to the sources of income other than work.
Other sources of income include net share of crops, fruits and vegetables and livestock, poultry from other
households; cash receipts, gifts and other forms of assistance from abroad; cash receipts, support, assistance
and relief from domestic source; rental from non-agricultural lands, buildings, spaces and other properties;
interest from dividends and loans; pension and retirement, workmen’s compensation and social security
benefits; imputed rental value of owner-occupied dwelling units; net receipts from family sustenance
activities; dividends from investment; goods and services received as gifts; and other sources of income not
elsewhere classified. (Philippine Statistics Authoriy)
Subsistence Incidence (S) ******* - the proportion of families/individuals with per capita income/
expenditure less than the per capita food threshold to the total number of families/ individuals.
ESTABLISHMENT CHARACTERISTICS: INDUSTRIAL SECTOR
Capital Increase – the additional funds put into the capital stock of existing business firms. (Bangko Sentral
ng Pilipinas)
Capital Investment – the amount of capital invested by a newly registered organization whether a
corporation, partnership or single proprietorship. (Bangko Sentral ng Pilipinas)
Construction – this group includes construction, alteration, repair and demolition of building, highways,
streets and culverts; construction of such projects as sewers and water, gas and electricity mains; railways,
roadbeds, railroads, piers, tunnels, elevated highways, bridges, viaducts; dams, drainage projects, sanitation
projects, aqueducts, irrigation and flood control projects; hydroelectric plants, water power projects;
pipelines; marine construction such as dredging, underwater rock removal; pile driving, land reclamation;
construction of harbors and waterways; water wells; airports and parking areas; athletic fields, golf courses,
swimming pools, and tennis courts; communication systems such as telephone and telegraph lines; and
other construction whether undertaken by private bodies or government authorities. Special trade
contractors in the field of construction such as carpenters, plumbers, plasterers and electricians are also
included in this group. (Philippine Statistics Authority)
Establishment – an economic unit which engages in one or predominantly one kind of economic activity at
a fixed single physical location. (Philippine Statistics Authoriy)
Investments - amount of money or other resources measured in terms of money placed on activities or other
forms of assets for the purpose of earning profits. (Board of Investment)
Stocks - investments in shares of stock, common or preferred, traded, subsidiaries, and non-subsidiaries.
(Securities and Exchange Commission)
Subscription Capital – that portion of the authorized capital which has been underwritten by the
stockholders. (Bangko Sentral ng Pilipinas)
LABOR AND EMPLOYMENT
Collective Bargaining Agreement (CBA) – the negotiated contract between a legitimate labor organization
and the employer concerning wages, hours of work, and all other terms and conditions of employment in a
bargaining unit, including mandatory provisions for grievance and arbitration machinery. (Philippine
Statistics Authority)
Employed - include all those who, during the reference period are 15 years old and over as of their last
Appendix - 11
birthday and are reported either:
At work. Those who do any work even for one hour during the reference period for pay or profit,
or work without pay on the farm or business enterprise operated by a member of the same
household related by blood, marriage or adoption; or
With a job but not at work. Those who have a job or business but are not at work because of
temporary illness/injury, vacation or other reasons. Likewise, persons who expect to report for
work or to start operation of a farm or business enterprise within two weeks from the date of the
enumerator’s visit, are considered employed. (Philippine Statistics Authoriy)
Employment Rate - proportion in percent of the total number of employed persons to the total number of
persons in the labor force. (Philippine Statistics Authoriy)
Labor Force – the population 15 years old and over whether employed or unemployed who contribute to
the production of goods and services in the country. (Philippine Statistics Authoriy)
Labor Force Participation Rate – proportion in percent of the total number of persons in the labor force to
the total population 15 years old and over. (Philippine Statistics Authoriy)
Overseas Contract Worker (OCW) - any individual who was or is presently engaged in gainful employment
in a foreign country, covered by a specific “contract of employment” defining the terms and conditions of
that employment and the employer-employee relationship, provided that the herein referred contract was
approved for implementation/application by the Philippine Overseas Employment Administration (POEA)
and the deployment/mobilization having been authorized by the POEA and provided further that the
corresponding Welfare Fund Contribution having been paid at the time of employment processing at POEA
or at any time thereafter as in the case of legitimized overseas contract worker, the latter gaining recognition
thru the process of latent legitimacy in accordance with applicable rules and policies in applicable case/s.
The OCW may be landbased or seabased
Overseas Filipino Worker (OFW) – a Filipino worker who is to be engaged, is engaged, or has been
engaged in a remunerated activity in a country of which he/she is not a legal resident. (Philippine Statistics
Authority)
Salaries and Wages - payments in cash or in kind prior to deductions for employees’ contribution to
SSS/GSIS, withholding tax, etc. to all employees. Included are total basic pay, overtime pay and other
benefits. (Philippine Statistics Authoriy)
Underemployed – include all employed persons who express the desire to have additional hours of work in
their present job or an additional job, or to have a new job with longer working hours. (Philippine
Underemployed, Invisibly – persons employed at full-time jobs but who still want additional work.
Underemployed, Visibly - those who worked for less than 40 hours during the reference period and want
additional hours of work. (Philippine Statistics Authority)
Underemployment Rate – proportion in percent of the total number of underemployed persons to the total
number of employed persons. (Philippine Statistics Authoriy)
Unemployed**** - include all persons who are 15 years old and over as of their last birthday and are
reported as:
without work, i.e., had no job or business during the basic survey reference period; AND
currently available for work, i.e., were available and willing to take up work in paid employment
or self employment during the basic survey reference period, and/or would be available and
willing to take up work in paid employment or self employment within two weeks after the
interview date; AND
Appendix - 12
seeking work, i.e., had taken specific steps to look for a job or establish a business during the basic
survey reference period; OR not seeking work due to the following reasons: (a) tired/believe no
work available, i.e., the discouraged workers who looked for work within the last six months prior
to the interview date; (b) awaiting results of previous job application; (c) temporary
illness/disability; (d) bad weather; and (e) waiting for rehire/job recall.
Unemployment Rate – proportion in percent of the total number of unemployed persons to the total
number of persons in the labor force. (Philippine Statistics Authoriy)
Union – any registered group or association of employees that exist in whole or in part for the purpose of
collective bargaining or of dealing with employers concerning terms and conditions of employment. A
union may be formed in the private or public sector. (Philippine Statistics Authority)
MONEY AND BANKING
Banking Institutions – corporations, companies or associations which are engaged in the lending of funds
obtained from the public through the receipt of deposits and the sale of bonds, securities or obligations of
any kind. (Philippine Statistics Authority)
Commercial Banks – any corporation which, in addition to the general powers incident to corporations,
shall have all such powers as shall be necessary to carry on the business of commercial banking, by
accepting drafts and issuing letters of credits, by discounting and negotiating promissory notes, drafts, bills
of exchange, and other evidences of debts, by receiving deposits, by buying and selling foreign exchange
and gold or silver bullion, and by lending money against securities consisting of personal property or first
mortgage on improved real estates and the insured improvements thereon. (Bangko Sentral ng Pilipinas)
Financial Institutions, Non-Bank – persons or entities whose principal functions include the lending,
investing, or placement of funds or evidences of equity deposited with them, or otherwise coursed through
them, either for their own account or for the account of others. (Philippine Statistics Authority)
Financing - means by which a government provides financial resources to cover a budget deficit or
allocated financial resources arising from a budget surplus.
Investment House – an enterprise engaged in guaranteed underwriting of securities of another person or

enterprise, including securities of government and its instrumentalities. (Philippine Statistics Authority)
Non-Stock Savings and Loan Associations – a corporation whose capital stock is required or is permitted to
be paid in by the stockholders in regular, equal periodic payments of its stockholders to repay to said
stockholders their accumulated savings and profits upon surrender of their shares, to encourage industry,
frugality, and home building among the stockholders on the security of unencumbered real estate and the
pledge of shares of the capital stock owned by such stockholders as collateral security. (Philippine Statistics
Authority)
Pawnshop – a business establishment engaged in lending money on personal property delivered as security
of pledge. (Philippine Statistics Authority)
Private Development Banks - a group of quasi-private development banks promoted by the DBP to provide
medium and long term credits to both the agricultural and industrial sectors. Designed to supplement the
short-term credits of the Rural Banks and are able to accept only savings and time deposits. (Philippine
Rural Banks - government-sponsored/assisted banks which are privately managed and largely privately
owned that provide credit facilities to farmers and merchants, or to cooperatives of such farmers or
merchants at reasonable terms and in general to the people of the rural community. (Philippine Statistics
Authority)
Appendix - 13
Savings and Mortgage Banks - any corporation organized for the purpose of accumulating the small
savings of depositors and investing them, together with its capital, in bonds or in loans secured by bonds,
real estate mortgage, and other forms of security, as hereinafter provided, or in loans for personal finance
and long-term financing for home building and home development. (Philippine Statistics Authority)
Specialized Government Banks – these are completely government-owned institutions established mainly
to provide medium and long-term credits to the industrial, agricultural and real estate sectors of the
economy. (Philippine Statistics Authority)
Stock Savings and Loan Associations – these are banks engaged in the accumulation of savings mainly of
stockholders in specified undertakings. They are primarily concerned with servicing the needs of the
household by providing personal finance and long term financing for home building and development.
(Savings and Loan Association Act or RA No. 3779, as amended) (Bangko Sentral ng Pilipinas)
POPULATION AND HOUSING
Age Dependency Ratio – the percentage of persons in the ages defined as dependent (under 15 and over 65
years) to those in the ages defined as economically productive (15 to under 65 years) in the population.
Dwelling Unit – one or more habitable rooms which are occupied or which are intended or designated to be
occupied by one family with facilities for living, sleeping, cooking and eating. (National Economic and
Household*** - a social unit consisting of a person living alone or a group of persons who sleep in the same
housing unit and have a common arrangement in the preparation and consumption of food.
Household Head – the person responsible for the care and organization of the household. He/She usually
provides the chief source of income for the household. In the case of a household consisting of two or more
unrelated persons sharing the same cooking facilities and meals, the head is usually the eldest male or
female in the group regarded as such by the other members. (Philippine Statistics Authoriy)
Household Population – the aggregate of private household population. Compared to total population, this
excludes population enumerated in institutional households such as national/provincial/municipal/city
jails/detention centers, military camps, tuberculosis pavilions, mental hospitals, leprosaria/leper colonies or
drug rehabilitation centers. (Philippine Statistics Authority)
Household Size – number of usual members in a private household. (National Economic and
Housing Unit - a structurally separate and independent place of abode which, by the way it has been
constructed, converted or arranged is intended for habitation by one household. Structures or parts of
structures which are not intended for habitation such as commercial, industrial, and cultural buildings or
natural and man-made shelters such as caves, boats, abandoned trucks, culverts, and others, but which are
used as living quarters by households.
Human Development Index*** – a measure of how well a country has performed, not only in terms of real
income growth, but also in terms of social indicators of people’s ability to lead a long and healthy life, to
acquire knowledge and skills, and to have access to the resources needed to afford a decent standard of
living.
Marital Status*** – status of an individual in relation to marriage, classified as follows: a) Single - A person
who has never been married; b) Married - A couple living together as husband and wife, legally or
consensually; c) Divorced - A person whose bond of matrimony has been dissolved legally and who
therefore can remarry; d) Separated - A person separated legally or not from his/her spouse because of
marital discord or misunderstanding; and e) Widowed - A person whose bond of matrimony has been
dissolved by death of his/her spouse.
Appendix - 14
Medium Assumption - moderate fertility decline and moderate mortality decline
Migration*** - the movement of people across a specific boundary for the purpose of establishing a new or
semi-permanent residence. Two distinct types are international migration (migration between countries)
and internal migration (migration within a country).
Mother Tongue – refers to the language/dialect spoken by a person at his earliest childhood or the
language/dialect that person first learned to speak. Data on mother tongue are used primarily in the
analysis of the ethic origin of a person long after assimilation to the other customs of the majority population
has taken place. (Philippine Statistics Authoriy)
Population*** - total number of individuals in a territory at a specified time. It covers both nationals and
aliens, native and foreign-born persons, internees, refugees and any other group physically present within
the borders of a country at a specified time. In assembling national demographic statistics for publication,
the basic aim has been to obtain data for the physically present (or “de facto”) population rather than for the
legally established resident (or “de jure”) inhabitants.
Population Density*** - refers to the number of persons per unit of land area (usually in square kilometers).
This measure is more meaningful if given as population per unit of arable land.
Population Distribution*** - the patterns of settlement and dispersal of a population.
Population Growth Rate*** – indicates how fast a population increases or decreases as a result of the
interplay of births, deaths, and migration during a given period of time. Where the population is closed,
meaning no migration, the population growth rate is the same as the rate of natural increase, i.e., the
difference between the number of births and the number of deaths during a specified period of time. The
three methods for computing the rate of growth based on the assumption with respect to the change are:
arithmetic change, geometric change and exponential change.
Population Projections*** - computation of future changes in population numbers, given certain

assumptions about future trends in the rates of fertility, mortality and migration. Demographers often
publish high, medium, and low projections of the same population based on different assumptions of how
these rates will change in the future.
Population Pyramid – diagram depicting the age-sex structure of a given population. (National Economic
and Development Authority)
Sex Ratio*** - the number of males per 100 females in a population.
PUBLIC ADMINISTRATION
Barangay - the smallest political unit into which cities and municipalities in the Philippines are divided. It is
the basic unit of the Philippine political system. It consists of less than 1,000 inhabitants residing within the
territorial limit of a city or municipality and administered by a set of elective officials, headed by a barangay
chairman (punong barangay).
Capital Revenue - resources realized from the sale of fixed or capital assets, such as building, equipment,
machine and intangibles
City - there are three classes of cities in the Philippines: the highly urbanized, the independent component
cities which are independent of the province, and the component cities which are part of the provinces
where they are located and subject to their administrative supervision.
Extraordinary Income - collections derived from the repayment of loans and advances made by the
government as well as from other non-recurring sources.
Appendix - 15
General Public Services - this covers expenditures for services which are indispensable to the existence of
an organized state and cannot be allocated to specific sectors or subsectors. This includes executive and
legislative services; overall financial and fiscal services; civil services; planning; conduct of foreign affairs;
general research, public order and safety and centralized services.
Grants - all non-repayable transfers received from other levels of government or from private individuals,
or institutions including reparations and gifts given for particular projects or programs, or for general
budget support.
Municipality – is a political corporate body which is endowed with the facilities of a municipal corporation,
exercised by and through the municipal government in conformity with law. It is a subsidiary of the
province which consists of a number of barangays within its territorial boundaries, one of which is the seat
of government found at the town proper (poblacion).
Non-Tax Revenue - revenue collected from sources other than compulsory tax levies. Includes those
collected in exchange for direct services rendered by government agencies to the public, or those arising
from the government’s regulatory and investment activities.
Province - the largest unit in the political structure of the Philippines. It consists, in varying numbers, of
municipalities and, in some cases, of component cities. Its functions and duties in relation to its component
cities and municipalities are generally coordinative and supervisory.
Revenue - a cash inflow which does not increase the liability of the government.
Taxes on Income and Profit - taxes imposed on all taxable income earned or received by a taxpayer whether
an individual, partnership, or corporation, during a particular period of time, usually lasting one year.
PUBLIC ORDER, SAFETY AND JUSTICE
Cases Handled - the summation of cases pending at the beginning of the period and new cases received
during the reference period. (Philippine Statistics Authority)
Cases Pending - cases which have not yet been disposed of at the beginning (or at the end) of the reference
period. (Philippine Statistics Authority)
Crime - is an act in violation of penal law. For statistical purposes, only crimes reported to authorities are
covered.
Crime Incidence – the number of crimes reported as to index or non-index crimes within a given period.
Crime Rate – number of crimes committed per 100,000 population. (Philippine National Police)
Fire Incidence – refers to the volume of incidents caused by fire and the deaths, injuries and total value of
property loss due to this incident.
Fireman-to-Population Ratio – is an indicator that measures the adequacy of the firefighting manpower to
safeguard the people and property. It is computed by dividing the total population by the total number of
firemen.
Index Crimes – refer to those violations of the penal code considered to have socio-economic significance,
and occur with sufficient regularity to be meaningful. These include crimes versus person (murder,
homicide, physical injury and rape), and crimes versus property (robbery and theft).
Non-Index Crimes - refer to all other crimes not classified as index crimes. These are mostly composed of
victimless offenses (e.g., crimes against national security, crimes against the fundamental laws of the state,
Appendix - 16
crimes against public order, crimes against public morals, and violations of special laws).
Policeman-to-Population Ratio - is an indicator that measures the adequacy of the police force in its task of
promoting peace and order, and of providing security to the people and property. It is computed by
dividing the total population by the total number of policemen.
SOCIAL SERVICES
Social Services - this covers expenditures for education, health, social security, labor and employment,
housing and community development and other social activities.
Battering – an act of inflicting physical harm on a woman resulting to physical and

psychological/emotional distress preventing her from doing what she wishes or forcing her to behave in a
manner that is unacceptable to her.
Illegal Recruitment - refers to victims who were recruited usually for a fee for various forms of local or
foreign employment but ended up being victimized, i.e., no job placement were effected or who were
actually job-placed but under exploitative/oppressive conditions (low salaries, long hours of work, etc.) and
have lost their jobs.
Involuntary Prostitution - refers to victims who were recruited for various forms of employment such as
receptionists, waitresses, entertainers, dancers, household help who are later on forced into prostitution.
Sexual Abuse – an act, which is sexual in nature, committed against a woman without her consent. Sexual
abuses include but are not limited to the following: rape, sexual harassment, acts of lasciviousness; treating a
woman as a sex object; making demeaning and sexually suggestive remarks; physically attacking the sexual
parts of her body; forcing her to watch pornographic video shows or see pornographic materials; catching
the husband having sex with another woman in the marital bedroom; forcing the wife and mistress to sleep
with the husband in the same room.
Trafficking in Women - the act of recruiting and transporting a woman within and across national borders
for work or services by means of violence or threat of violence, abuse of authority or dominant position,
debt-bondage, deception or other forms of coercion.
Acts of Lasciviousness - acts that are lascivious in nature, which include but are not limited to intentional
touching, either direct or through clothing, of the genitalia, anus, groin, breast, inner thigh or buttocks; or
the introduction of any object into the genitalia, anus or mouth of any child whether of the same or opposite
sex with an intent to abuse, humiliate, harass, degrade, or arouse or gratify the sexual desire of any person;
bestiality; masturbation; lascivious exhibition of the genital or pubic area of a person, etc.
Child Labor - the illegal employment of children below 15 years old, or those below 18 years old in
hazardous occupation.
Child Prostitution - a practice where children, whether male or female, who for money, profit, or any other
consideration, or due to the coercion or influence of any adult, syndicate or group, indulge in sexual
intercourse or lascivious conduct.
Child Sexual Abuse - the employment, use, persuasion, inducement, enticement, or coercion of a child to
engage in or assist another person to engage in sexual intercourse or lascivious conduct, or the molestation,
prostitution, or incest with children.
Child Trafficking - the act of trading or dealing with children, including but not limited to, the buying and
selling of children for money, or for any other consideration, or barter.
Children in Situation of Armed Conflict (CSAC) - children who are: a) members of displaced families as a
result of armed conflict; b) physically weakened, orphaned or disabled as a result of armed conflict; c)
combatants and those mobilized for other armed conflict-related activities; and d) disrupted from schooling
due to armed conflict.
Appendix - 17
Day Care Service – an arrangement whereby substitute mothering is provided to disadvantaged pre-school
children as well as street children during part of the day when the mother cannot attend to their children.
Disability - refers to any restriction or lack of ability to perform an activity in the manner or within the
range considered normal for human being. A person considered physically or mentally disabled if he has
any of the following impairments:
Blindness - if one eye or both eyes are reported totally blind and have no vision.
Deafness - if one ear or both ears are reported to be incapable of hearing sounds or noises.
Muteness - if the person is unable to speak or utter words.
Speech Impairment - if the person can speak but not sufficiently clear to be understood. This also
includes those people who can only make meaningless sounds.
Mental Illness - if the person suffers from schizophrenia, manic depressive illness, psychosis , or
severe depression characterized by strange behavior.
Mental Retardation - if the person has disorder/damage of the brain resulting in mental retardation.
Orthopedic Handicap - if the person suffers from bone deformities of has the following impairments:
absence or deformity of one or both hands/arms, absence or deformity of one or both feet/legs,
fractures, severe scoliosis, kyphosis, third degree burns, etc.
Multiple Disability - if the person is reported to have combination of two or more disabilities.
Others - if the disability does not fall in any of the the above categories, i.e. cancer, leprosy, paralysis,
cerebral palsy, etc. (Philippine Statistics Authoriy)
Disadvantaged Children – children from 0-6 years old who are malnourished, orphaned, street children,
victims of armed conflicts and children of poor families.
Disadvantaged Communities - communities which have inadequate resources of facilities such as roads,
water system, electricity and absence of natural resources. (Philippine Statistics Authority)
Disadvantaged Families - families belonging to the disadvantaged group or families belonging to the
bottom 30 percent of the income strata. (Philippine Statistics Authority)
Disadvantaged Persons/Groups - individuals or group of individuals who are considered economically,

physically, and socially disadvantaged. These include needy family heads and other needy adults, indigent
children, out-of-school youths, physically and mentally disabled persons, distressed individuals and
families, and disadvantaged children. (Philippine Statistics Authority)
Disadvantaged Women - women from 18-59 years old who were deprived of literacy opportunities or those
abused/exploited, and victims of involuntary prostitution or illegal recruitment. (Philippine Statistics
Authority)
Disadvantaged Youths - individuals 7-17 years old who due to poor parents, are out-of-school, sickly,
alcoholic/drug addicts, youth offenders or have been sexually abused or exploited. (Philippine Statistics
Authority)
Distressed Individuals/Families/Groups - needy evacuees/squatters/cultural minorities/refugees and
other persons who are victims of social conflicts, or other upheavals and disasters/calamities both natural
and man-made. (Philippine Statistics Authority)
Incest - sexual abuse committed against a child by a person who is related to her/him within fourth degree
of consanguinity or affinity and who exercises influence, authority or moral ascendancy over her/him.
Neglect - failure to provide, for reasons other than poverty, adequate food, clothing, shelter, basic education
or medical care so as to seriously endanger the physical, mental, social and emotional growth and
development of the child.
Pedophilia – an act of psycho-sexual perversion deriving gratification from child sexual abuse.
Rape - an act committed:
By a man who shall have carnal knowledge of a child under any of the following circumstances:
Appendix - 18
through force, threat or intimidation;
when the child is deprived of reason, or otherwise unconscious;
by means of fraudulent machination or grave abuse of authority; and
when the offended party is under 12 years of age or is demented, even though none of the circumstances
mentioned above be present.
By any person who, under any of the circumstances mentioned in par. 1 hereof, shall commit an act of
sexual assault by inserting the penis into a child’s mouth or anal orifice, or any instrument, object, or
any other part of the body such as fingers or toes into the genital or anal orifice of a child.
Employees Compensation Insurance Fund - amount reserved for compensation claim against employment-
connected injury, sickness, disability or death in the form of adequate cash income benefits, medical or
related services and rehabilitation services.
Social Insurance Fund - amount set aside for the payment of social insurance benefits like retirement
insurance, disability retirement, death and life insurance benefits.
Social Welfare Services - include care of the aged, care of the disabled and mentally defective, childcare,
and other welfare services. (Philippine Statistics Authority)
TOURISM
Accommodation Establishment* – any establishment, which on a regular basis, provides for a fee facilities
for overnight stays as its main business. It includes not only hotels and similar traditional forms of
accommodation but also non-traditional forms of accommodation such as resorts, tourist complexes,
camping sites, youth hostels, private apartments, villas and furnished rooms in private houses, and the like.
Balikbayan – refers to Philippine nationals who are permanently residing abroad including their spouses
and children, regardless of nationality or country of birth. It also refers to those of Filipino descent who
acquired foreign citizenship and permanent status abroad. (Department of Tourism)
Country of Residence – consists of the country where she/he has lived for most of the past year (12
months), or for a shorter period if she/he intends to return within 12 months to live there.
Domestic Tourism*** - tourism of resident visitors within the economic territory of the country of reference.
Hotel – an establishment that usually provides lodging, food service, valet service and other types of guest
services that may include meeting rooms and dining facilities for groups. (Philippine Statistics Authoriy)
Occupancy* – the sale of an available room in an accommodation establishment in a given day.
Occupancy Rate* – the proportion of occupancy to available rooms in an accommodation establishment

over a period of time.
Resident*** – an institutional unit is resident in a country when it has a center of economic interest in the
economic territory of that country.
Room Accommodation* - A room in an accommodation establishment available for occupancy by a visitor

or guest for a specified period of time.
Tourism*** - Comprises the activities of persons traveling to and staying in places outside their usual
environment for not more than one consecutive year for leisure, business and other purposes not related to
the exercise of an activity remunerated from within the place visited.
Tourist*** - visitor who stays one or more nights in the place visited.
Appendix - 19
Visitor*** - any person traveling to a place other than that of his/her usual environment for less than 12
months and whose main purpose of trip is other than the exercise of an activity remunerated from within
the place visited.
Visitor Arrivals – includes tourist, excursionists, aliens entering the country for a temporary stay not
exceeding one year and for purposes other than immigration, permanent residence or employment for
remuneration in the country and Filipino nationals residing permanently abroad on temporary stay in the
Philippines not exceeding one year. This excludes the following: a) transit visitors and change-plan
passengers who remain in the premises of the port of entry terminal; b) aliens with pre-arranged
employment for remuneration in the Philippines, even if length of stay is less than 59 days; c) Filipinos
living abroad, regardless of length of stay overseas who are not permanent residents abroad; d) immigrants
or aliens with permanent residence in the Philippines; e) Filipino overseas contract workers on home visits;
and f) returning residents of the Philippines.
Visitor, Foreign – a foreign national visiting the country as a tourist. (Department of Tourism)
TRADE
Commodity Flow – movement of commodities from point of origin to point of destination. (National
Cargo – refers to any property carried/transported other than mail. Cargoes are categorized as follows: (a)
Breakbulk – cargo that is handled in units, packages, crates, bags and the like; (b) Bulk – cargo that is
unpacked or undivided into parts and handled in mass. It may come in any of the following forms: solid,
pulverized, liquid, semi-liquid and gas; and (c) Containerized – cargo packed in vans or containers for easy
handling and transporting of the same as a unit. (Philippine Ports Authority)
TRANSPORTATION AND COMMUNICATIONS
Aircraft Movement – an aircraft take-off or landing at an airport. For airport traffic purposes, one arrival
and one departure are counted as two movements. (National Economic and Development Authority)
Airport Traffic – this term is used to indicate one or both of the following: 1) aircraft movements; 2)
passengers, freight and mail departing; and 3) transiting or arriving at airports. (National Economic and
Bridge – a structure across a waterway or other opening servicing as a pathway and/or roadway with a
minimum clear span of six (6) meters. (National Economic and Development Authority)
Freight – the price paid to a ship owner for the transportation of goods or merchandise by sea from one
specific port to another. The word "freight" is also used to denote goods which are in the process of being
transported from one place to another. (National Economic and Development Authority)
License – an authority issued by the Land Transportation Office (LTO) to a person who is qualified to
operate a vehicle. (National Economic and Development Authority)
Mail - dispatches of correspondence and other objects tendered by and intended for delivery by means of
the postal service. (National Economic and Development Authority)
Mail Carrier – refers to the person employed to deliver mail. (National Economic and Development
Authority)
Mails Delivered – mails distributed in the locality through letter carriers through the use of post office
(P.O.) boxes. (National Economic and Development Authority)
Appendix - 20
Mails Posted – mails received from windows, counters, lobby drop boxes and street boxes. (National
Motor Vehicles, Diplomatic – motor vehicles owned by foreign governments or by their duly accredited
diplomatic officials in the Philippines. The registration thereof must be supported by communications from
the Department of Foreign Affairs. (National Economic and Development Authority)
Motor Vehicles, For Hire – motor vehicles registered and authorized to be operated as public utility by
virtue of certificate of public convenience or provisional authority issued by the Land Transportation
Franchising and Regulatory Board (LTFRB). (National Economic and Development Authority)
Motor Vehicles, Government – motor vehicles owned by the Government of the Philippines or any of its
political subdivisions. (National Economic and Development Authority)
Motor Vehicles, Private – motor vehicles registered not to be used for hire under any circumstances. Private
motor vehicles are subclassified into the same denominations as that of For-Hire Motor Vehicles except for
taxicabs. (National Economic and Development Authority)
Port - a sheltered harbor where marine terminal facilities are provided, consisting of piers or wharves at
which ships berth/dock while loading or unloading cargo, transit sheds and other storage areas where ships
may discharge incoming cargo, and warehouses where goods may be stored for longer periods while
awaiting distribution or sailing. (Philippine Ports Authority)
Port, Commercial Private – ports which are owned and operated by private entities, constructed primarily
to serve the needs of the owners. (Philippine Statistics Authority)
Port, Commercial Public – ports which are owned and operated by the government, constructed primarily
to serve the needs of the general public, and generally cater to vessels of more than 30 tonnage. (Philippine
Port, Feeder – a port constructed primarily to provide linkages among neighboring small islands and nearby
urban centers. This port generally caters to small passenger and fishing vessels. (Philippine Statistics
Authority)
Port, Fishing – a port which primarily serves the fishing industry, either within the area, or may be regional
in scope, servicing the main collection and distribution center for fish. (Philippine Statistics Authority)
Radio Stations - one or more transmitters or receivers or a combination of transmitters and receivers
including the accessory equipment, necessary at one location for carrying on a radio communication service.
Each station shall be classified by the service in which it operates permanently or temporarily. (National
Telephone Density – the ratio of the number of telephones to total population at a given date. It is
expressed as the number of telephone main stations per 100 persons. (Department of Transportation and
Communications)
Telegraph Station – a telecommunication station which is concerned with the transmission/reception of

messages by means of the Morse Code. (National Economic and Development Authority)
Vessel – includes any ship or boat or any description of a vessel or boat, or any artificial contrivance used or
capable of being used as a means of transportation on water. (National Economic and Development
Authority)
VITAL, HEALTH AND NUTRITION
Bed Capacity – the number of beds permanently retained at the hospital for the treatment of in-patients.
Appendix - 21
Birth – the act or process of delivering a child. It may either be a live birth or a stillbirth. (National
Birth, Live – refers to the complete expulsion or extraction of a product of conception from its mother,
irrespective of the duration of pregnancy, which after such separation, breathes or shows any other evidence
of life, such as beating of the heart, pulsation of the umbilical cord, or definite movement of voluntary
muscles, whether or not the umbilical cord has been cut off or the placenta is still attached; each product of
such births is considered alive. (Philippine Statistics Authoriy)
Birth Rate, Crude – the ratio of the total number of live births in a given population during a year to the
mid-year population during a given period expressed per 1,000 population. Sometimes it is referred to as
simply as the birth rate and also live birth rate. (Philippine Statistics Authority)
Death – refers to the permanent disappearance of all signs of life of a living person at any time. (Philippine
Death Rate, Crude – the ratio of the number of deaths occurring within one year to the mid-year population
expressed per 1,000 population. It is “crude” in the sense that all ages are represented in the rate and does
not take into account the variations in risks of dying at particular ages. (Philippine Statistics Authority)
Fetal Death Rate (FDR)***** – the ratio of the number of fetal deaths in a population occurring within a
given period to the total number of live births and fetal deaths occurring within the same period, expressed
per 1,000.
Fetal Death (deadborn fetus) - death prior to the complete expulsion or extraction from its mother of a
product of conception, irrespective of the duration of pregnancy. (WHO)
Hospital Bed-Population Ratio***** – the ratio of hospital beds to the population, usually expressed as the
number of available hospital beds for every 1,000 population.
Immunization – process of introducing vaccine into the body to stimulate the formation of antibodies which
fight disease-causing germs. Regular immunization programs of the government include: BCG – Bacillus
Calmett Guerin to prevent Tuberculosis; DPT – Diphtheria, Pertussis and Tetanus; OPV – Oral Polio
Vaccine. (National Economic and Development Authority)
Infant Mortality Rate (IMR)***** – the probability of dying between birth and age one, expressed as the
number of infant deaths or deaths occurring before reaching 12 months of life in a given period per 1,000
live births.
Marriage – a special contract of permanent union between a man and a woman entered into in accordance
with law for the establishment of conjugal and family life. It is the foundation of the family and an inviolable
social institution whose nature, consequences and incidents are governed by law and not subject to
stipulation, except that marriage settlements may fix the property relations during the marriage within the
limits provided by the Family Code of the Philippines.
Maternal Mortality Rate (MMR)***** – the ratio between the number of women who died (for reasons of
pregnancy, childbirth and puerperium) to the number of reported livebirths in a given year, expressed as
the number of maternal deaths per 100,000 live births
Morbidity***** – the frequency of disease and illness, injuries, and disabilities in a population.
Mortality – the intensity of death in a population. It is sometimes used to mean the frequency of deaths in a
population. (National Economic and Development Authority)
Mortality, Infant, Ten Leading Causes –Given the total number of infant deaths for every cause of death in
the given year, the first ten causes with the most number of infant deaths are the ten leading causes of infant
deaths for that year. (National Economic and Development Authority)
Mortality, Maternal – refers to deaths of mothers owing to deliveries and complications arisingfrom
Appendix - 22
pregnancy, childbirth and puerperium. (Philippine Statistics Authoriy)
Mortality, Maternal, Ten Leading Causes – Given the total number of deaths among pregnant women for
every cause of death in the given year, the first ten causes with the most number of deaths among pregnant
women are the ten leading causes of maternal deaths for that year. (National Economic and Development
Authority)
Mortality, Ten Leading Causes - Given the total number of deaths for every cause of death in the given
year, the first ten causes with the most number of deaths are the ten leading causes of deaths for that year.
Mortality Rate – generally expresses the chance that death will occur during a particular period to a person
in particular population group alive at the beginning of the period. As such, those rates are true probabilities
and describe precisely the risk of dying for any actual cohort. (National Economic and Development
Authority)
Mortality Rate, Child – the number of deaths among children aged 1-4 years old per 1,000 children in the
same age group. (Philippine Statistics Authority)
____________
* NSCB Resolution No. 12 Series of 2004 - Approving and Adopting the Official Concepts and
Definitions for Statistical Purposes of the Selected Sectors: Agriculture, Fishery and Forestry, Foreign
Direct Investments, and Tourism
** NSCB Resolution No. 6 Series of 2003 - Official Definition of Core Inflation
*** NSCB Resolution No. 11 Series of 2003 - Approving and Adopting the Official Concepts and
Definitions for Statistical Purposes of the Selected Sectors: Prices, Population and Housing, and Tourism
**** NSCB Resolution No. 15 Series of 2004 - Adoption of a New Official Definition of Unemployment
***** NSCB Resolution No. 8 Series of 2006 - Approving and Adopting the Official Concepts and
Definitions for Statistical Purposes for the Health and Nutrition Sector
****** NSCB Resolution No. 15 Series of 2006 - Approving and Adopting Six Formulas on the Official
Concepts and Definitions for Statistical Purposes for the Education Sector
******* NSCB Resolution No. 2 Series of 2007 - Approving and Adopting the Official Concepts and
Definitions for Statistical Purposes for the Poverty Sector
Appendix - 23
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Chapter 1 POPULATION AND HOUSING 1-1

4. Other social and economic indicators

5. Standards and classification systems to prescribe uniform standards in government statistics

1. Maintenance of a one-stop statistical information center

Figure TITLE Reference Table

1.1 Ten Most Widely Spoken Dialects in CAR, 2000 1.8B

4.1 Land Use Cover in CAR, as of December 2017 4.2

6.1 Real Estate Sales, in the Philippines: 2002 - 2015 6.3

7.1 Value of Exports and Imports, CAR, 2003-2013 7.2

8.1 Visitor Arrivals in CAR, 2007 - 2017 8.1

9.1 Number of Registered Marriages by Month in CAR, 2001 - 2014 9.1

10.1 Enrolment in Public and Private Secondary Schools in CAR, 10.2

12.1 Programs and Projects in the Cultural Communities, 2006-2010 12.3

13.1 Motor Vehicles Registered by Major Classification, CAR: 2013-2014 13.1A

14.1 Area of Irrigated Land by Season, CAR: 2011 - 2016 14.4

17.1 Crime Rate by Type of Crime, 2006 - 2016 17.1

SDG Reference Table Number/

SDG 3.1.1 Maternal mortality ratio Table 9.4B page 9 - 13

SDG 3.2.1 Under-five mortality rate Table 9.13 page 9 - 41

SDG 3.2.2 Neonatal mortality rate Table 9.4B page 9 - 13

CORE-IS 1.2 Average Annual Family Income Table 2.1 page 2 - 4

CORE-IS 1.4 Poverty Incidence among Families Table 2.10A page 2 - 17

CORE-IS 1.5 Poverty Incidence among Population Table 2.10B page 2 - 18

CORE-IS 1.6 Poverty Threshold Table 2.10A and B

CORE-IS 1.7 Subsistence Incidence Among Families Table 2.10C page 2- 19

CORE-IS 1.8 Subsistence Incidence Among Population Table 2.10D page 2 - 21

CORE-IS 1.10 Cohort Survival Rate Table 10.6 page 10 - 14

CORE-IS 1.12 Completion Rate Table 10.6 page 10 - 14

CORE-IS 1.13 Drop Out Rate Table 10.6 page 10 - 14

CORE-IS 1.23 Simple/Basic Literacy Table 10.7A page 10 - 20

CORE-IS 1.25 Enrolment in Non-Formal TVET Programs Table 10.11 page 10 - 30

CORE-IS 1.26 Graduates in Non-Formal TVET Programs Table 10.12 page 10 - 31

CORE-IS 1.27 Employment Rate Table 11.1 page 11 - 3

CORE-IS 1.29 Unemployment Rate Table 11.1 page 11 - 3

CORE-IS 1.34 Fully Immunized Children Table 9.16 page 9 - 41

CORE-IS 1.36 Infant Mortality Rate Table 9.13 page 9 - 41

CORE-IS 1.37 Maternal Mortality Rate Table 9.4B page 9 - 13

CORE-IS 1.55 Population Table 1.1 page 1 - 4

CORE-IS 1.56 Population Density Table 1.2 page 1 - 8

CORE-IS 1.57 Population Growth Rate Table 1.1 page 1 - 4

CORE-IS 2.62 Gross Regional Domestic Expenditures Table 3.7B page 3 - 10

CORE-IS 2.63 Gross Regional Domestic Product Table 3.3B page 3 - 6

CORE-IS 2.66 Area of Farm Table 5.4 page 5 - 14

CORE-IS 2.68 Volume of Fishery Production Table 5.7 page 5 - 18

CORE-IS 2.71 Consumer Price Index Table 2.22 page 2 - 33

CORE-IS 2.72 Inflation Rate Table 2.22 page 2 - 33

CORE-IS 2.73 Purchasing power of peso Table 2.22 page 2 - 33

CORE-IS 2.75 Total Deposit Liabilities Table 16.3 page 16 - 5

CORE-IS 2.76 Loan Portfolio Table 16.2 page 16 - 4

CORE-IS 2.77 Number of Establishments Table 6.1 page 6 - 3

CORE-IS 2.79 Visitor Arrivals Table 8.1 page 8 - 3

CORE-IS 2.80 Volume and Value of Exports Table 7.2 page 7 - 4

CORE-IS 2.81 Volume and Value of Imports Table 7.2 page 7 - 4