The Many Faces of Poverty

Volume 6 The Many Faces of Poverty: Volume 6 Copyright © PEP-CBMS Network Office, 2015

ALL RIGHTS RESERVED. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—whether virtual, electronic, mechanical, photocopying, recording, or otherwise—without the written permission of the copyright owner.

Published by De La Salle University 2401 Taft Avenue, 1004 , www.dlsu.edu.ph

First printing, 2015

Printed in the Philippines

Acknowledgments

The publication of this volume has been made possible through the PEP- CBMS Network Office of the De La Salle University-Angelo King Institute for Economic and Business Studies with the aid of a grant from the International Development Research Centre (IDRC), Ottawa, Canada and the Department for International Development of the United Kingdom. CONTENTSCONTENTS

i Foreword

1 Introduction

3 Explanatory Text

The Many Faces of Poverty

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51

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237 FOREWORDFOREWORD

The official poverty monitoring system (PMS) in the Philippines relies mainly on family income and expenditure surveys. Information on other aspects of well-being is generally obtained from representative health surveys, national population and housing censuses, and others. However, these surveys and censuses are (i) too costly to be replicated frequently; (ii) conducted at different time periods, making it impossible to get a comprehensive profile of the different socio-demographic groups of interest at a specific point in time; and (iii) have sampling designs that do not usually correspond to the geographical disaggregation needed by local government units (LGUs). In addition, the implementation of the decentralization policy, which devolves to LGUs the function of delivering basic services, creates greater demand for data at the local level. The Community-Based Monitoring System (CBMS) seeks to address these gaps by providing data at the local level appropriate for diagnosing the cause and extent of local poverty, formulating appropriate policies and programs, identifying eligible beneficiaries, and assessing the impact of policies and programs. It also supports the decentralization process by capacitating the LGUs to collect, analyze, and use data in local planning, budgeting, and program implementation. This 6th volume of statistical tables and poverty maps of seven provinces generated through the CBMS methodology is a part of a series of publications that will emerge from the collaborations between the CBMS Network Office and its partner-LGUs. These partnerships have been in place for several years now, and these partner-LGUs are finally enjoying the fruits of their hard labor. The CBMS poverty maps will identify who and where the poor are as they provide a comprehensive picture of the different faces of poverty in different parts of the country. They will also aid in identifying the most pressing needs of the community, assist in prioritizing interventions to address these needs, and facilitate the targeting of programs for those who need the assistance most. The provinces featured in this volume are Apayao, Benguet, Camiguin, Guimaras, Ifugao, Kalinga, and Surigao del Norte. The statistics presented in this report are based on the CBMS censuses conducted in these provinces during a 7-year period–from 2007-2014. The work leading to the publication of this book owes much to the unwavering support and commitment of our partners both at the local and national levels. For so many months now, we have worked hand-in-hand with them in consolidating databases and validating our census findings. And now, with their consent, we are sharing their data to a wide range of CBMS stakeholders all over the country – indeed a glowing testament of their dedication to make their development planning processes more efficient and effective! Tremendous thanks are therefore in order to all our partner LGUs, national government agencies, non-government organizations, donors and other development partners for making this possible. It is hoped that this publication will provide the necessary data to facilitate evidence-based decision-making toward improving local governance and reducing poverty in the country.

CELIA M. REYES CBMS International Network Coordinating Team Leader

The Many Faces of Poverty (Volume 6) i INTRODUCTIONINTRODUCTION

Considered a foremost legislation that ushered in a new era of local governance, the Local Government Code (LGC) of 1991 has paved the way not only for greater autonomy but also for increased expenditure responsibility and revenue authority of local government units. Since then, the local government units (LGUs) have assumed a greater role in local government management and service delivery. The devolution is substantial not only in the magnitude of responsibilities that were shifted to LGUs but also in the amount of resources now at their disposal to effectively discharge the devolved functions. Today, LGUs have access to multiple revenue sources, chief of which is their share in the national internal revenues— the Internal Revenue Allotment (IRA). For the period 2009–2013, the average IRA per year is P197 billion (see Table 1).

Table 1. Internal Revenue Allotment of Local Government Units, 2009–2013

Amount Year (in P billion) 2013 220.3 2012 210.7 2011 227.9 2010 136.9 2009 189.4 Total 985.2 Ave. per year 197.0 Source: Bureau of Local Government Finance, DOF

While experts agree that local governments are not awash with cash, the P985.2 billion worth of IRA that the LGUs have received over the 5-year period is certainly a big amount. This underscores the importance of making sure that LGUs are equipped with the right tools, systems, and procedures to ensure the effective use of these public financial resources. One way to do this is by providing them access to comprehensive socioeconomic data, on the basis of which they can craft their development plans and budgets.

Statistical Issues and Concerns at the Subnational Level

With decentralization, the types of data demanded by a wide range of users—policymakers, program implementers, civil society, and others—are changing. Data disaggregated to correspond to the different levels of government are needed by LGUs to adequately assess their local situation. Moreover, longitudinal data are needed to track welfare changes over time. Household-level data are also needed to identify eligible beneficiaries of different programs. In 2005, 14 years after the LGC enactment, the ADB-WB released a report highlighting statistical issues and concerns at the subnational level. It said: “The most comprehensive and consistent comparative subnational data is at the regional level although this is simply an administrative level of government that has no responsibilities for delivery of social services. More data is gradually becoming available at the provincial level, but not at lower levels, which are at the frontline of efforts to reduce poverty.”1

1 Decentralization in the Philippines: Strengthening Local Government Financing and Resource Management in the Short-Term, 2005 (A joint document of the World Bank and the Asian Development Bank).

The Many Faces of Poverty (Volume 6) 1 Local Poverty Monitoring Systems Rise up to the Challenge

Owing to still unresolved statistical issues and concerns at the subnational level, an increasing number of LGUs all over the country have taken the initiative to establish their own Community-Based Monitoring System (CBMS). As of January 15, 2015, CBMS is being implemented in 75 provinces (32 of which are implementing the system province- wide), 867 municipalities, and 69 cities, covering a total of 23,410 barangays. Data generated by CBMS have so far been used in diagnosing the nature and extent of poverty in their localities, identifying appropriate interventions, identifying eligible beneficiaries of poverty reduction programs, and assessing the impact of some of these programs. National government agencies have likewise taken notice of the CBMS initiative. Today, CBMS is recognized as a tool for (i) building the capacity of LGUs on poverty diagnosis and planning, (ii) localizing the Millennium Development Goals (MDGs), and (iii) generating local poverty statistics for evidence-based development planning and budgeting. Parallel with efforts to establish databanks at each geopolitical level, an initiative on building the national repository of CBMS data was jumpstarted with the installation of the repository at the National Anti-Poverty Commission (NAPC) and at the Department of the Interior and Local Government (DILG) in 2006. The national repository is envisioned to facilitate data sharing across government agencies, the private sector, donor agencies, and other relevant stakeholders. Specifically, the national repository will (i) facilitate the access and use of the integrated CBMS database by national entities in their advocacy work with key decisionmakers, (ii) support government and non-government funding sources in strengthening evidence-based planning and monitoring and in aligning their interventions to national priorities, and (ii) facilitate the implementation of targeted programs.

Concluding Remarks

Public statistics will increasingly shape public agenda at the local level as more and more LGUs establish their own monitoring systems to make their development planning processes more efficient and effective. In this scenario, local poverty monitoring systems such as the CBMS will have an extremely important role to play. The country’s experience with local-level poverty monitoring systems clearly demonstrates that there can be a comprehensive picture of the poverty situation. Very few, if any, national surveys collect information on the different dimensions of poverty. There is a survey on income and expenditure, another on health, another on education, another on employment, another on nutrition, and others. As the samples and the reference periods are different, there is no comprehensive picture of the poverty status of the population at any point in time. This is where CBMS can make a difference as it addressess these gaps through its set of core indicators relating to the different dimensions of poverty.

The Many Faces of Poverty (Volume 6) 2 EXPLANATORYEXPLANATORY TEXTTEXT

A. CBMS Core Indicators

The statistical tables and poverty maps presented in this volume pertain to the CBMS Core Indicators (also known as Core Local Poverty Indicators1), which were generated using the CBMS methodology2.

Box 1. Community-Based Monitoring System (CBMS)

The CBMS is an organized way of collecting ongoing or recurring information at the local level to be used by local governments, national government agencies, non-government organization (NGOs), and civil society for planning, budgeting, and implementing local development programs, as well as for monitoring and evaluating their performance. It is a tool for improved local governance and democratic decisionmaking that promotes greater transparency and accountability in resource allocation.

It involves the following steps: CBMS APP Track CBMS PAPER Track Step 1 Step 1 Advocacy/organization Advocacy/organization Step 2 Step 2 Data collection, GPS reading and data Data collection and field editing transmission Step 3 Step 3 Data encoding and map digitizing Data consolidation, database-building and Step 4 poverty mapping Data consolidation, database-building and Step 4 poverty mapping Data validation and community consultation Step 5 Step 5 Data validation and community consultation Knowledge (database) management Step 6 Step 6 Knowledge (database) management Plan formulation Step 7 Step 7 Plan formulation Dissemination, implementation, and monitoring Step 8 Dissemination, implementation, and monitoring

The CBMS Core Indicators are a set of carefully selected indicators that capture the multiple dimensions of poverty. They define the basic criteria for attaining a decent quality of life and correspond to the minimum basic needs covering (a) health, (b) nutrition, (c) housing, (d) water and sanitation, (e) basic education, (f) income, (g) employment, and (h) peace and order. Together, these indicators provide information not only on how poor a community is, but also on who in the community is poor, and where.

The CBMS Core Indicators are presented in Table 1. Meanwhile, the poverty and food thresholds used are presented in Table 2.

1 The Department of the Interior and Local Government (DILG) has issued Memorandum Circular 2003-92 (April 2003) to set policy guidelines for the adoption of the 13 core local poverty indicators, for planning and Memoradum Circular 2004-152 (November 2004) to encourage LGUs to intensify efforts toward the achievement of the millennium development goals (MDGs). The latter circular also enjoins LGUs to use monitoring systems such as MBN-CBIS, CBMS, IRAP, etc., to monitor and diagnose the nature and extent of poverty in their respective localities. CBMS was adopted by the DILG as the data collection and processing system for the CLPIMS which was the tool adopted to monitor the MDGs for LGUs. 2 Except for the Province of Apayao which adopted the CBMS Accelerated Poverty Profiling (APP) Track, all the rest of the provinces featured in this volume used the traditional paper and pen data collection, also known as the CBMS PAPER Track. For more information about the CBMS APP Track, please visit: https://www.pep-net.org/cbms-network-launches-cbms-app-0.

The Many Faces of Poverty (Volume 6 3 Table 1. CBMS Core Indicators, Formula, and CBMS Composite Index Using Simple Scoring

Basic Needs Core Indicators Computation/Formula Simple Scoring

A. Health 1 Proportion of children Total number of children aged 0 to less than One (1) if the household has a under 5 years old who 5 years old who died divided by the sum of member under 5 years old who died; died (i) total number of children aged 0 to less zero (0) otherwise. than 5 years old, and (ii) the total number of child deaths 0 to less than 5 years old

2 Proportion of women who Total number of women who died due to One (1) if the household has a died due to pregnancy pregnancy related causes divided by the female member who died due to related causes sum of (i) the total number of children less pregnancy-related causes; zero (0) than one year old, and (ii) total number of otherwise. women who died due to pregnancy- related causes B. Nutrition 3 Proportion of children aged Total number of children aged 0-5 years old One (1) if the household has a 0-5 years old who are who are moderately or severely underweight member 0-5 years old who is malnourished over total number of children aged 0-5 years malnourished; zero (0) otherwise. old C. Housing 4 Proportion of households Total number of households living in housing One (1) if the household lives in living in makeshift housing with makeshift roof and/or walls over total makeshift housing; zero (0) number of households otherwise. 5 Proportion of households Total number of households occupying One (1) if the household is an who are informal settlers house and/or lots without permission of informal settler; zero (0) otherwise. owner over total number of households D. Water and 6 Proportion of households Total number of households without access One (1) if the household does not Sanitation without access to safe to safe water supply over total number of have access to safe water supply; water supply households zero (0) otherwise. 7 Proportion of households Total number of households without access One (1) if the household does not without access to sanitary to water-sealed toilet or closed pit over total have access to sanitary toilet toilet facilities number of households facilities; zero (0) otherwise. E. Education 8 Proportion of children aged Total number of children aged 6-11 years old 6-11 years old who are not who are not attending elementary school attending elementary over total number of children aged 6-11 school years old 9 Proportion of children aged Total number of children aged 12-15 years 12-15 years old who are old who are not attending secondary school not attending secondary over total number of children aged 12-15 school years old 8-9 Proportion of children aged Total number of children aged 6-15 years old One (1) if the household has a 6-15 years old who are not who are not attending school over total member 6-15 years old not attending school number of children aged 6-15 years old attending school; zero (0) otherwise. F. Income 10 Proportion of households Total number of households with income One (1) if the household has per with income below the below the poverty threshold over total capita income below poverty poverty threshold number of households threshold; zero (0) otherwise. 11 Proportion of households Total number of households with income One (1) if the household has per with income below the below the food (subsistence) threshold over capita income below food threshold; food threshold total number of households zero (0) otherwise. 12 Proportion of households Total number of households who One (1) if the household has who experienced hunger experienced hunger due to food shortage experienced hunger due to food due to food shortage over total number of households shortage; zero (0) otherwise. G. Employment 13 Proportion of persons in Total number of persons aged 15 and above One (1) if the household has the labor force who are who are unemployed over total number of unemployed member/s; zero (0) unemployed labor force* otherwise. H. Peace and 14 Proportion of persons who Total number of persons who are victims of One (1) if the household has Order are victims of crimes crimes over total population victim/s of crime; zero (0) otherwise.

CBMS Average number of unmet Sum of unmet needs of households over Sum of the scores (number of Composite needs total number of households unmet needs) of the 13 indicators. Indicator * Except for two municipalities in Ifugao (i.e., and ), all the rest of the municipalities featured in this volume used the new definition of unemployment as per NSCB Resolution No. 15, Series of 2004. More information about this new definition is available on this website: http://www.nscb.gov.ph/ru6/1/stat%20informer-unemployment%20old%20&%20new%20definition.pdf

The Many Faces of Poverty (Volume 6) 4 Table 2. Poverty and Food Thresholds

Month of Data Year of Data Reference Poverty Thresholds Food Thresholds Province Collection Collection Year Urban Rural Urban Rural Apayao January-December 2014 2013 20,070 19,077 14,018 13,324 Benguet January - June 2009 2008 16,000 15,251 11,175 10,652 July - December 2009 2009 16,219 15,459 11,328 10,797 January - June 2010 2009 16,219 15,459 11,328 10,797 July - December 2010 2010 16,823 16,035 11,750 11,200 January - June 2011 2010 16,823 16,035 11,750 11,200 July - December 2011 2011 18,011 17,167 12,580 11,990 January - June 2012 2011 18,011 17,167 12,580 11,990 July - December 2012 2012 19,898 18,966 13,898 13,246 Camiguin January - June 2009 2008 18,257 17,549 12,752 12,257 July - December 2009 2009 19,459 18,704 13,591 13,064 January - June 2010 2009 19,459 18,704 13,591 13,064 July - December 2010 2010 20,369 19,578 14,227 13,674 January - June 2011 2010 20,369 19,578 14,227 13,674 July - December 2011 2011 21,774 20,929 15,208 14,618 Ifugao January - June 2007 2006 15,059 14,503 10,518 10,130 July - December 2007 2007 15,405 14,837 10,760 10,363 January - June 2008 2007 15,405 14,837 10,760 10,363 July - December 2008 2008 16,906 16,282 11,808 11,372 January - June 2009 2008 16,906 16,282 11,808 11,372 July - December 2009 2009 17,137 16,505 11,969 11,528 Guimaras January - June 2011 2010 18,395 17,448 12,848 12,187 July - December 2011 2011 19,205 18,217 13,414 12,723 January - June 2012 2011 19,205 18,217 13,414 12,723 July - December 2012 2012 19,948 18,922 13,933 13,216 Kalinga January - June 2010 2009 14,661 13,994 10,240 9,774 July - December 2010 2010 15,208 14,516 10,622 10,139 January - June 2011 2010 15,208 14,516 10,622 10,139 July - December 2011 2011 16,281 15,541 11,372 10,854 January - June 2012 2011 16,281 15,541 11,372 10,854 July - December 2012 2012 17,987 17,169 12,563 11,992 Surigao del Norte January - June 2008 2007 15,081 14,380 10,533 10,043 July - December 2008 2008 17,444 16,633 12,184 11,617 January - June 2009 2008 17,444 16,633 12,184 11,617 July - December 2009 2009 18,513 17,652 13,524 12,895 January - June 2010 2009 18,513 17,652 13,524 12,895 July - December 2010 2010 19,362 18,462 13,524 12,895 January - June 2011 2010 19,362 18,462 13,524 12,895 July - December 2011 2011 20,825 19,857 14,545 13,869 January - June 2012 2011 20,825 19,857 14,545 13,869 July - December 2012 2012 21,389 20,394 14,939 14,244

The Many Faces of Poverty (Volume 6) 5 B. Authority for the Census

The National Statistical Coordination Board (NSCB) has issued Resolution No. 6 (2005), which recognizes and enjoins support to the CBMS as a tool for strengthening the statistical system at the local level. It also directs the NSCB Technical Staff to initiate and coordinate an advocacy program for the adoption of the CBMS by the LGUs, through the Regional Statistical Coordination Committees (RSCCs), the technical arm of the NSCB Executive Board in the regions. The NSCB has also approved the CBMS Census Instruments used by the local government featured in this publication: (NSCB Approval Nos. DILG-0903-01, DILG-1214- 01, and DILG-1237-01).

C. Census Operations

All census operations were undertaken under the supervision of the CBMS Technical Working Groups (TWGs) at the provincial and municipal Levels. They identified the local personnel who were trained as enumerators and field supervisors. Technical assistance was provided by the PEP-CBMS Network Office, the Bureau of Local Government Development (BLGD) of the Department of the Interior and Local Government (DILG).

Training is mainly conducted at two levels. The first level training (Training of Trainors) is conducted for members of the TWGs. This is usually conducted by members of the research staff of the PEP-CBMS Network Office and CBMS-accredited trainors from the DILG and selected LGU personnel. Meanwhile, a second level training (Training of Enumerators) is conducted for enumerators--usually composed of health workers and students. Members of the TWG act as trainors in this training.

D. Data Processing System

The CBMS Data Processing System includes the CBMS Data Encoding System, CBMS StatSim, and the CBMS-Natural Resources Database (NRDB) or Quantum GIS (QGIS).

The CBMS Encoding System uses CSPro (Census and Survey Processing), a software developed by the United States Bureau of Census for entering, editing, tabulating, and disseminating data from censuses and surveys. The CSPro-based Encoding System converts survey data into electronic data. It produces text files (ASCII) described by data dictionaries, which adds flexibility to the output data. This feature facilitates the interface between the CBMS data and other database systems and statistical softwares.

Except for the province of Apayao which used QGIS, the CBMS Mapping System3 employed by the six other provinces featured in this volume was the Natural Resources Database4 (NRDB). The CBMS-NRDB is capable of creating and storing spatial (shapefiles) and non-spatial (texts and numbers) data as well as generating maps, reports and graphs ideal for presentation and analysis of poverty attributes in the community. This has significantly addressed the need for a simple yet powerful and free geographically-oriented database.

The data presented through poverty maps are processed using the CBMS StatSim which has been developed by the PEP-CBMS Network Office to address the particular need of LGUs to harness outputs from the CBMS Database such as custom tables, reports, case lists and queries. The StatSim simulates simple computations and tabulations usually done through statistical software or other tabulation applications, and also exports indicators and statistics for use in dissemination, such as tables and maps.

These software are provided for free to CBMS-implementing LGUs.

3 Since 2013, the CBMS Mapping System under the CBMS PAPER and CBMS Accelerated Poverty Profiling (APP) Tracks uses Quantum GIS (QGIS). 4 The NRDB was developed by Mr. Richard Alexander, a British volunteer who spent three years working for the Environment Management Office through the assistance of the Voluntary Service Overseas (vso.org.uk).

The Many Faces of Poverty (Volume 6) 6 E. CBMS Poverty Maps

The poverty map for each indicator is prepared at two levels. The first level is the provincial map disaggregated by municipality while the second level is the provincial map by barangay.

A simple color scheme is used for the poverty maps. Green, light green, pink and red represents the four ranges of data for each indicator. Each indicator, however, used a different range relative to the provincial data.

F. Limitations of the Data

Estimates on poverty and subsistence incidence may be affected by under- and/or over-reporting of income or reluctance on the part of the respondents to reveal their true levels of income. As in other censuses and surveys, the CBMS enumerators may also have encountered interview non-response and item non-response.

The user of the data presented in this volume should also bear in mind that due to some difficulties, the data for Barangay Ipil in , was not included in the database of Surigao del Norte.

The Many Faces of Poverty (Volume 6) 7 The Many Faces of Poverty in Apayao

CBMS Core Indicators, Province of Apayao, 2014

Households Population INDICATOR Magnitude Proportion Ma gni tu de Pro po r tio n

DEMOGRAPHY Population 24,948 114,638 Average household size 5 Children under 1 year old 2,186 Children under 5 years old 12,292 Children 0-5 years old 14,907 Children 6-11 years old 15,408 Members 12-15 years old 10,082 Members 6-15 years old 25,490 Members 10 years old and above 89,217 Members of the labor force 44,488

HEALTH AND NUTRITION Children under 5 years old who died 51 0.4 Women who died due to pregnancy related-causes 6 0.3 Malnourished children 0-5 years old 378 2.5

HOUSING Households living in makeshift housing 415 1.7 Households who are informal settlers 1,589 6.4

WATER AND SANITATION Households without access to safe water supply 8,471 34.0 Households without access to sanitary toilet facilities 4,375 17.5

BASIC EDUCATION Children 6-11 years old not attending elementary school 2,022 13.1 Children 12-15 years old not attending high school 4,563 45.3 Children 6-15 years old not attending school 1,500 5.9

INCOME AND LIVELIHOOD Households with income below poverty threshold 13,170 52.8 Households with income below food threshold 9,716 38.9 Households who experienced hunger due to food shortage 314 1.3 Unemployment rate (15 years old and above) 2,141 4.8

PEACE AND ORDER Victims of crime 115 0.1

CBMS Composite Indicator, Province of Apayao, 2014

Av era g e CBMS Composite Indicator 1.7

The Many Faces of Poverty (Volume 6) 15 CBMS Core Indicators, by Municipality, Province of Apayao, 2014

Municipality Total Total Number of Children under Number of Women deaths Number of Malnourished households po pul ati on ch ildren 5 years old ch ildren due to ch ildren ch ildren under 5 who died under 1 pregnancy-related (0-5 (0-5 years old) years old year old c a u s e s years old) M ag n i tu d e Propor tion M ag n i tu d e Propor tion M a g ni tu de Propor tion

Calanasan 2,316 12,919 1,088 12 1.1 217 1 0.5 1,382 63 4.6 Conner 5,194 25,343 2,793 17 0.6 554 5 0.9 3,384 12 0.4 Flora 3,906 16,819 2,157 2 0.1 329 0 0 2,548 105 4.1 3,281 15,869 1,584 0 0 273 0 0 1,947 1 0.1 Luna 4,143 17,755 1,655 8 0.5 261 0 0 2,041 82 4.0 3,016 13,782 1,546 9 0.6 297 0 0 1,854 97 5.2 Santa Marcela 3,092 12,151 1,469 3 0.2 255 0 0 1,751 18 1.0

Municipality Households living in Households who are Households without access Households without access to makeshift housing informal settlers to safe water supply sanitary toilet facilities M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n

Calanasan 34 1.5 45 1.9 466 20.1 374 16.1 Conner 50 1.0 134 2.6 883 17.0 1,083 20.9 Flora 69 1.8 296 7.6 2,233 57.2 468 12.0 Kabugao 98 3.0 333 10.1 1,427 43.5 1,644 50.1 Luna 52 1.3 207 5.0 878 21.2 133 3.2 Pudtol 32 1.1 444 14.7 712 23.6 530 17.6 Santa Marcela 80 2.6 139 4.5 1,872 60.5 143 4.6

Municipality Number of Children not attending Number of Children not attending Number of Children not attending ch ildren elementary school ch ildren high school ch ildren s ch oo l (6-11 years (6-11 years old) (12-15 (12-15 years old) (6-15 years (6-15 years old) ol d) years old) ol d) M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n

Calanasan 1,634 259 15.9 1,134 600 52.9 2,768 212 7.7 Conner 3,426 468 13.7 2,325 1,139 49.0 5,751 354 6.2 Flora 2,185 241 11.0 1,448 560 38.7 3,633 231 6.4 Kabugao 2,184 279 12.8 1,369 642 46.9 3,553 199 5.6 Luna 2,415 285 11.8 1,537 606 39.4 3,952 192 4.9 Pudtol 2,002 257 12.8 1,291 605 46.9 3,293 143 4.3 Santa Marcela 1,562 233 14.9 978 411 42.0 2,540 169 6.7

Municipality Households with income below the Households with income below the Households who experienced poverty threshold food threshold hunger due to food shortage M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n

Calanasan 1,655 71.5 1,354 58.5 25 1.1 Conner 2,609 50.2 1,873 36.1 0 0 Flora 1,830 46.9 1,175 30.1 0 0 Kabugao 2,598 79.2 2,292 69.9 3 0.1 Luna 1,249 30.1 693 16.7 100 2.4 Pudtol 1,691 56.1 1,245 41.3 103 3.4 Santa Marcela 1,538 49.7 1,084 35.1 83 2.7

Municipality Number of persons in the Unemployment rate Persons who are victims CBMS Composite labor force (15 years old and above) of crimes Ind icator (15 years old and above) M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n

Calanasan 5,482 516 9.4 11 0.1 2.0 Conner 9,694 355 3.7 11 0.0 1.4 Flora 6,140 154 2.5 5 0.0 1.7 Kabugao 6,610 32 0.5 5 0.0 2.6 Luna 6,464 690 10.7 17 0.1 1.0 Pudtol 5,113 267 5.2 54 0.4 1.7 Santa Marcela 4,985 127 2.5 12 0.1 1.7

The Many Faces of Poverty (Volume 6) 16 CBMS Poverty Maps: Apayao

Map 1. Proportion of Children under 5 Years Old who Died, by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n Calanasan 12 1.1 Conner 17 0.6 Pudtol 9 0.6 Luna 8 0.5 Santa Marcela 3 0.2 Flora 2 0.1 Kabugao 0 0

Map 2. Proportion of Children under 5 Years Old who Died, by Barangay, 2014

Bottom 10 Barangays

Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Pudtol Lower Maton 4 7.4 Calanasan Lubong 3 4.9 Conner Daga 7 4.1 Calanasan Butao 3 4.0 Luna Marag 2 3.8 Calanasan Tubongan 1 2.6 Conner Cupis 1 2.3 Flora Balasi 1 2.3 Luna Shalom 1 1.9 Pudtol Aga 1 1.9

The Many Faces of Poverty (Volume 6) 17 CBMS Poverty Maps: Apayao

Map 3. Proportion of Women who Died Due to Pregnancy-Related Causes, by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n Conner 5 0.9 Calanasan 1 0.5 Flora 0 0 Kabugao 0 0 Luna 0 0 Pudtol 0 0 Santa Marcela 0 0

Map 4. Proportion of Women who Died Due to Pregnancy-Related Causes, by Barangay, 2014

Bottom 4 Barangay Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Conner Paddaoan 2 6.5 Conner Malama 2 2.7 Conner Karikitan 1 2.4 Calanasan 1 2.3

The Many Faces of Poverty (Volume 6) 18 CBMS Poverty Maps: Apayao

Map 5. Proportion of Children 0-5 Years Old who are Malnourished, by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n Pudtol 97 5.2 Calanasan 63 4.6 Flora 105 4.1 Luna 82 4.0 Santa Marcela 18 1.0 Conner 12 0.4 Kabugao 1 0.1

Map 6. Proportion of Children 0-5 Years Old who are Malnourished, by Barangay, 2014

Bottom 10 Barangays Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Luna Salvacion 11 22.9 Pudtol Aga 14 22.6 Calanasan Cadaclan 13 17.3 Pudtol San Jose 8 14.3 Luna Lappa 11 11.8 Pudtol Mataguisi 16 11.3 Flora Bagutong 20 11.1 Luna Zumigui 7 10.9 Calanasan Butao 10 10.6 Calanasan Eva Puzon 12 10.3

The Many Faces of Poverty (Volume 6) 19 Table 1. Health and Nutrition Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Number of Children under 5 Number of Women deaths Number of Malnourished ch ildren years old ch ildren due to ch ildren ch ildren under 5 who died under 1 pregnancy-related (0-5 (0-5 years old) years old year old c a u s e s years old) M a g ni tu de Propor tion M a g ni tu de Pr opo r ti on M a g ni tu de Propor tion

CALANASAN Butao 72 3 4.0 20 0 0 94 10 10.6 Cadaclan 64 1 1.5 11 0 0 75 13 17.3 Don Roque Ablan Sr. 19 0 0 7 0 0 22 0 0 Eleazar 18 0 0 6 0 0 23 0 0 Eva Puzon 93 1 1.1 16 0 0 117 12 10.3 Kabugawan 39 0 0 9 0 0 54 0 0 Langnao 22 0 0 2 0 0 26 0 0 Lubong 58 3 4.9 14 0 0 79 4 5.1 Macalino 34 0 0 8 0 0 45 0 0 Naguilian 32 0 0 6 0 0 41 4 9.8 Namaltugan 52 0 0 8 0 0 71 0 0 Poblacion 206 2 1.0 43 1 2.3 246 1 0.4 40 0 0 7 0 0 50 3 6.0 Santa Elena 33 0 0 7 0 0 39 0 0 Santa Filomena 69 0 0 15 0 0 88 5 5.7 Tanglagan 165 1 0.6 29 0 0 219 9 4.1 Tubang 35 0 0 3 0 0 47 0 0 Tubongan 37 1 2.6 6 0 0 46 2 4.3

CONNER Allangigan 48 0 0 10 0 0 51 0 0 Banban 111 0 0 20 0 0 139 0 0 149 0 0 24 0 0 179 0 0 Caglayan (New Pob.) 268 1 0.4 53 0 0 314 0 0 Calafug 124 0 0 30 0 0 142 0 0 Cupis 42 1 2.3 7 0 0 51 0 0 Daga 163 7 4.1 34 0 0 201 0 0 Guinaang 152 0 0 21 0 0 197 0 0 Guinamgaman 132 1 0.8 23 0 0 154 5 3.2 Ili 143 0 0 25 0 0 177 0 0 Karikitan 162 1 0.6 41 1 2.4 209 0 0 Katablangan 62 0 0 14 0 0 77 1 1.3 Malama 315 2 0.6 73 2 2.7 379 0 0 Manag 187 1 0.5 40 0 0 224 1 0.4 Mawegui 83 0 0 12 0 0 92 0 0 Nabuangan 66 0 0 10 0 0 82 0 0 Paddaoan 156 0 0 29 2 6.5 190 0 0 Puguin 89 1 1.1 24 0 0 111 3 2.7 Ripang (Old Pob.) 113 1 0.9 25 0 0 138 0 0 Sacpil 131 1 0.8 26 0 0 155 0 0 Talifugo 97 0 0 13 0 0 122 2 1.6

FLORA Allig 181 0 0 35 0 0 218 8 3.7 Anninipan 125 0 0 18 0 0 148 3 2.0 Atok 132 0 0 9 0 0 153 1 0.7 Bagutong 147 0 0 25 0 0 180 20 11.1 Balasi 42 1 2.3 8 0 0 51 2 3.9 Balluyan 183 1 0.5 24 0 0 209 5 2.4 Malayugan 189 0 0 27 0 0 220 14 6.4 Mallig 105 0 0 13 0 0 127 5 3.9 Malubibit Norte 134 0 0 20 0 0 156 9 5.8 Malubibit Sur 94 0 0 15 0 0 108 8 7.4 Poblacion East 272 0 0 37 0 0 334 10 3.0 Poblacion West 139 0 0 24 0 0 173 1 0.6 San Jose 110 0 0 27 0 0 127 6 4.7 Santa Maria 144 0 0 22 0 0 159 9 5.7 Tamalunog 129 0 0 17 0 0 149 4 2.7 Upper Atok (Coliman) 31 0 0 8 0 0 36 0 0

KABUGAO Badduat 126 0 0 16 0 0 152 1 0.7 Baliwanan 38 0 0 7 0 0 48 0 0 Bulu 42 0 0 5 0 0 47 0 0 Cabetayan 75 0 0 19 0 0 88 0 0

The Many Faces of Poverty (Volume 6) 20 Table 1. Health and Nutrition Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Number of Children under 5 Number of Women deaths Number of Malnourished ch ildren years old ch ildren due to ch ildren ch ildren under 5 who died under 1 pregnancy-related (0-5 (0-5 years old) years old year old c a u s e s years old) M a g ni tu de Propor tion M a g ni tu de Pr opo r ti on M a g ni tu de Propor tion

KABUGAO Dagara 46 0 0 6 0 0 62 0 0 Dibagat 57 0 0 8 0 0 69 0 0 Karagawan 55 0 0 13 0 0 66 0 0 Kumao 57 0 0 7 0 0 66 0 0 Laco 52 0 0 14 0 0 65 0 0 Lenneng (Liyyeng) 321 0 0 56 0 0 390 0 0 Lucab 68 0 0 8 0 0 84 0 0 Luttuacan 110 0 0 23 0 0 141 0 0 Madatag 73 0 0 6 0 0 91 0 0 Madduang 51 0 0 13 0 0 65 0 0 Magabta 29 0 0 5 0 0 31 0 0 Maragat 39 0 0 9 0 0 45 0 0 Musimut 86 0 0 15 0 0 107 0 0 Nagbabalayan 38 0 0 5 0 0 54 0 0 Poblacion 172 0 0 33 0 0 207 0 0 Tuyangan 20 0 0 1 0 0 32 0 0 Waga 28 0 0 4 0 0 35 0 0

LUNA Bacsay 71 1 1.4 13 0 0 80 8 10.0 Cagandungan 76 0 0 12 0 0 91 1 1.1 Calabigan 53 0 0 5 0 0 67 2 3.0 Cangisitan 55 0 0 9 0 0 64 1 1.6 Capagaypayan 37 0 0 3 0 0 45 2 4.4 Dagupan 223 0 0 42 0 0 274 10 3.6 Lappa 79 0 0 11 0 0 93 11 11.8 Luyon 28 0 0 2 0 0 37 0 0 Marag 50 2 3.8 8 0 0 64 1 1.6 Poblacion 111 0 0 18 0 0 134 1 0.7 95 1 1.0 9 0 0 119 3 2.5 Salvacion 42 0 0 7 0 0 48 11 22.9 San Francisco 61 1 1.6 7 0 0 73 0 0 San Gregorio 37 0 0 5 0 0 52 1 1.9 San Isidro Norte 87 0 0 15 0 0 98 5 5.1 San Isidro Sur 143 1 0.7 26 0 0 171 8 4.7 San Sebastian 27 0 0 3 0 0 35 0 0 Santa Lina 98 1 1.0 12 0 0 128 3 2.3 Shalom 52 1 1.9 11 0 0 69 6 8.7 Tumog 86 0 0 16 0 0 115 1 0.9 Turod 93 0 0 18 0 0 120 0 0 Zumigui 51 0 0 9 0 0 64 7 10.9

PUDTOL Aga 53 1 1.9 10 0 0 62 14 22.6 Alem 114 0 0 22 0 0 148 6 4.1 Amado 76 0 0 18 0 0 93 1 1.1 59 0 0 12 0 0 65 2 3.1 Cabatacan 141 0 0 26 0 0 173 6 3.5 Cacalaggan 56 0 0 7 0 0 69 1 1.4 Capannikian 167 1 0.6 38 0 0 195 18 9.2 Doña Loreta 58 0 0 13 0 0 66 1 1.5 Emilia 32 0 0 5 0 0 43 0 0 Imelda 44 0 0 3 0 0 55 3 5.5 Lower Maton 50 4 7.4 10 0 0 57 3 5.3 Lt. Bilag 23 0 0 3 0 0 24 0 0 Lydia 67 0 0 9 0 0 76 4 5.3 Malibang 64 0 0 19 0 0 76 7 9.2 Mataguisi 116 2 1.7 23 0 0 141 16 11.3 Poblacion 68 1 1.4 12 0 0 86 3 3.5 San Antonio (Pugo) 21 0 0 4 0 0 24 0 0 San Jose 48 0 0 8 0 0 56 8 14.3 San Luis 50 0 0 13 0 0 65 0 0 San Mariano 47 0 0 10 0 0 61 1 1.6 Swan 136 0 0 23 0 0 155 0 0 Upper Maton 56 0 0 9 0 0 64 3 4.7

The Many Faces of Poverty (Volume 6) 21 Table 1. Health and Nutrition Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Number of Children under 5 Number of Women deaths Number of Malnourished ch ildren years old ch ildren due to ch ildren ch ildren under 5 who died under 1 pregnancy-related (0-5 (0-5 years old) years old year old c a u s e s years old) M a g ni tu de Propor tion M a g ni tu de Pr opo r ti on M a g ni tu de Propor tion

SANTA MARCELA Barocboc 177 0 0 22 0 0 204 2 1.0 Consuelo 99 0 0 21 0 0 118 0 0 Emiliana 90 0 0 20 0 0 106 0 0 Imelda (Sipa Annex) 71 1 1.4 10 0 0 94 0 0 Malekkeg 176 0 0 23 0 0 194 1 0.5 Marcela (Pob.) 149 0 0 25 0 0 170 7 4.1 Nueva 80 0 0 17 0 0 95 0 0 Panay 110 1 0.9 21 0 0 141 1 0.7 San Antonio 85 1 1.2 13 0 0 105 5 4.8 San Carlos 129 0 0 26 0 0 153 0 0 San Juan 71 0 0 19 0 0 84 0 0 San Mariano 102 0 0 23 0 0 130 0 0 Sipa Proper 130 0 0 15 0 0 157 2 1.3

The Many Faces of Poverty (Volume 6) 22 CBMS Poverty Maps: Apayao

Map 7. Proportion of Households Living in Makeshift Housing, by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n

Kabugao 98 3.0 Santa Marcela 80 2.6 Flora 69 1.8 Calanasan 34 1.5 Luna 52 1.3 Pudtol 32 1.1 Conner 50 1.0

Map 8. Proportion of Households Living in Makeshift Housing, by Barangay, 2014

Bottom 11 Barangays Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Flora Upper Atok 17 28.3 Kabugao Cabetayan 22 15.7 Kabugao Maragat 11 10.6 Santa Marcela Panay 21 10.1 Kabugao Lucab 11 8.9 Luna Quirino 18 7.0 Kabugao Musimut 12 6.9 Flora Poblacion West 18 5.5 Santa Marcela Marcela (Pob.) 14 5.2 Conner Daga 14 5.1 Luna Marag 6 5.1

The Many Faces of Poverty (Volume 6) 23 CBMS Poverty Maps: Apayao

Map 9. Proportion of Households who are Informal Settlers, by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n Pudtol 444 14.7 Kabugao 333 10.1 Flora 296 7.6 Luna 207 5.0 Santa Marcela 139 4.5 Conner 134 2.6 Calanasan 45 1.9

Map 10. Proportion of Households who are Informal Settlers, by Barangay, 2014

Bottom 10 Barangays Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Pudtol Lt. Bilag 26 100.0 Kabugao Baliwanan 88 96.7 Pudtol Aurora 58 92.1 Pudtol Cacalaggan 103 88.8 Pudtol Lydia 87 86.1 Pudtol Malibang 70 74.5 Kabugao Bulu 43 53.8 Luna Salvacion 38 50.7 Luna Marag 44 37.6 Flora Balluyan 90 28.8

The Many Faces of Poverty (Volume 6) 24 CBMS Poverty Maps: Apayao

Map 11. Proportion of Households without Access to Safe Water Supply, by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n Santa Marcela 1,872 60.5 Flora 2,233 57.2 Kabugao 1,427 43.5 Pudtol 712 23.6 Luna 878 21.2 Calanasan 466 20.1 Conner 883 17.0

Map 12. Proportion of Households without Access to Safe Water Supply, by Barangay, 2014

Bottom 10 Barangays Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Flora Mallig 157 100.0 Pudtol Malibang 94 100.0 Kabugao Waga 69 98.6 Kabugao Baliwanan 89 97.8 Kabugao Madduang 87 97.8 Pudtol Lower Maton 68 95.8 Luna Santa Lina 220 94.8 Pudtol Aurora 58 92.1 Flora Upper Atok 55 91.7 Flora Balasi 50 89.3

The Many Faces of Poverty (Volume 6) 25 CBMS Poverty Maps: Apayao

Map 13. Proportion of Households without Access to Sanitary Toilet Facilities, by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n Kabugao 1,644 50.1 Conner 1,083 20.9 Pudtol 530 17.6 Calanasan 374 16.1 Flora 468 12.0 Santa Marcela 143 4.6 Luna 133 3.2

Map 14. Proportion of Households without Access to Sanitary Toilet Facilities, by Barangay, 2014

Bottom 10 Barangays Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Kabugao Dagara 87 94.6 Kabugao Baliwanan 86 94.5 Pudtol Aurora 59 93.7 Kabugao Madduang 78 87.6 Kabugao Laco 124 86.7 Kabugao Bulu 69 86.2 Pudtol Lower Maton 60 84.5 Kabugao Lucab 103 83.1 Pudtol Cacalaggan 95 81.9 Kabugao Magabta 33 78.6

The Many Faces of Poverty (Volume 6) 26 Table 2. Housing, Water and Sanitation Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Households living in Households who are Households without Households without makeshift housing informal settlers access to safe water access to sanitary s u p p l y toilet facilities M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n

CALANASAN Butao 1 0.8 8 6.4 66 52.8 14 11.2 Cadaclan 0 0 1 1.1 8 8.5 28 29.8 Don Roque Ablan Sr. 0 0 0 0 11 20.4 5 9.3 Eleazar 1 4.2 0 0 2 8.3 1 4.2 Eva Puzon 8 3.6 7 3.2 27 12.3 18 8.2 Kabugawan 1 1.0 2 2.0 2 2.0 22 22.2 Langnao 1 2.0 0 0 40 81.6 27 55.1 Lubong 0 0 10 11.0 76 83.5 31 34.1 Macalino 0 0 0 0 17 34.7 28 57.1 Naguilian 0 0 1 1.4 7 9.7 12 16.7 Namaltugan 4 2.4 1 0.6 63 38.4 57 34.8 Poblacion 2 0.5 5 1.3 3 0.8 6 1.6 Sabangan 0 0 0 0 3 3.9 15 19.5 Santa Elena 0 0 0 0 39 78.0 18 36.0 Santa Filomena 8 4.0 3 1.5 3 1.5 13 6.5 Tanglagan 1 0.2 4 1.0 52 12.6 54 13.1 Tubang 4 4.3 2 2.1 33 35.1 17 18.1 Tubongan 3 4.5 1 1.5 14 20.9 8 11.9

CONNER Allangigan 1 1.2 0 0 63 76.8 48 58.5 Banban 2 0.9 4 1.8 124 55.9 119 53.6 Buluan 3 0.9 7 2.2 52 16.4 39 12.3 Caglayan (New Pob.) 3 0.7 6 1.3 9 2.0 52 11.5 Calafug 0 0 0 0 25 13.4 48 25.7 Cupis 0 0 1 1.1 3 3.2 4 4.3 Daga 14 5.1 18 6.5 71 25.6 62 22.4 Guinaang 0 0 6 2.0 22 7.4 66 22.1 Guinamgaman 2 1.0 31 16.1 151 78.2 71 36.8 Ili 2 0.8 2 0.8 65 24.7 14 5.3 Karikitan 8 2.1 7 1.9 49 13.1 107 28.6 Katablangan 0 0 2 1.7 0 0 50 41.7 Malama 2 0.3 6 1.0 8 1.4 40 6.9 Manag 0 0 5 1.4 11 3.1 36 10.1 Mawegui 1 0.5 11 6.0 40 21.7 25 13.6 Nabuangan 1 0.9 0 0 1 0.9 39 34.5 Paddaoan 4 1.2 3 0.9 13 3.9 63 18.9 Puguin 0 0 11 7.2 68 44.4 96 62.7 Ripang (Old Pob.) 0 0 6 3.0 5 2.5 10 5.1 Sacpil 1 0.5 2 1.0 35 17.9 53 27.0 Talifugo 6 3.0 6 3.0 68 33.5 41 20.2

FLORA Allig 1 0.3 10 2.8 150 42.1 14 3.9 Anninipan 0 0 31 13.5 64 27.9 24 10.5 Atok 1 0.5 5 2.5 179 87.7 20 9.8 Bagutong 2 0.7 16 5.3 138 45.8 19 6.3 Balasi 1 1.8 0 0 50 89.3 13 23.2 Balluyan 4 1.3 90 28.8 105 33.7 31 9.9 Malayugan 3 1.0 45 15.0 103 34.3 89 29.7 Mallig 0 0 17 10.8 157 100.0 109 69.4 Malubibit Norte 5 1.9 4 1.5 215 81.1 8 3.0 Malubibit Sur 1 0.8 0 0 66 49.6 9 6.8 Poblacion East 4 0.7 13 2.2 352 60.1 31 5.3 Poblacion West 18 5.5 24 7.4 186 57.2 14 4.3 San Jose 1 0.6 13 8.1 93 58.1 31 19.4 Santa Maria 3 1.3 5 2.2 121 54.0 3 1.3 Tamalunog 8 3.4 21 8.8 199 83.6 14 5.9 Upper Atok (Coliman) 17 28.3 2 3.3 55 91.7 39 65.0

KABUGAO Badduat 3 1.4 16 7.5 108 50.5 95 44.4 Baliwanan 0 0 88 96.7 89 97.8 86 94.5 Bulu 0 0 43 53.8 64 80.0 69 86.2 Cabetayan 22 15.7 8 5.7 89 63.6 73 52.1

The Many Faces of Poverty (Volume 6) 27 Table 2. Housing, Water and Sanitation Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Households living in Households who are Households without Households without makeshift housing informal settlers access to safe water access to sanitary s u p p l y toilet facilities M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n

KABUGAO Dagara 1 1.1 0 0 36 39.1 87 94.6 Dibagat 1 0.7 3 2.0 53 35.8 97 65.5 Karagawan 1 0.6 1 0.6 90 53.6 115 68.5 Kumao 1 0.8 14 10.8 30 23.1 37 28.5 Laco 0 0 3 2.1 75 52.4 124 86.7 Lenneng (Liyyeng) 20 4.0 4 0.8 103 20.4 150 29.6 Lucab 11 8.9 20 16.1 42 33.9 103 83.1 Luttuacan 4 2.1 8 4.1 86 44.1 86 44.1 Madatag 6 3.6 1 0.6 86 50.9 86 50.9 Madduang 0 0 1 1.1 87 97.8 78 87.6 Magabta 0 0 4 9.5 7 16.7 33 78.6 Maragat 11 10.6 11 10.6 27 26.0 65 62.5 Musimut 12 6.9 28 16.0 145 82.9 132 75.4 Nagbabalayan 0 0 0 0 31 26.5 60 51.3 Poblacion 5 1.2 78 18.7 86 20.6 26 6.2 Tuyangan 0 0 2 3.0 23 34.8 36 54.5 Waga 0 0 0 0 69 98.6 5 7.1

LUNA Bacsay 3 1.4 1 0.5 19 9.0 21 10.0 Cagandungan 0 0 38 27.7 122 89.1 22 16.1 Calabigan 2 1.6 16 12.4 115 89.1 35 27.1 Cangisitan 0 0 2 1.3 1 0.6 0 0 Capagaypayan 2 1.8 10 8.8 4 3.5 1 0.9 Dagupan 1 0.2 0 0 10 1.9 0 0 Lappa 2 1.1 10 5.7 18 10.2 0 0 Luyon 0 0 1 1.3 7 9.1 0 0 Marag 6 5.1 44 37.6 15 12.8 14 12.0 Poblacion 1 0.4 1 0.4 67 24.4 5 1.8 Quirino 18 7.0 2 0.8 43 16.7 1 0.4 Salvacion 0 0 38 50.7 16 21.3 5 6.7 San Francisco 0 0 2 1.1 3 1.7 0 0 San Gregorio 0 0 0 0 81 73.6 3 2.7 San Isidro Norte 5 3.1 1 0.6 4 2.5 2 1.3 San Isidro Sur 5 1.6 14 4.5 30 9.6 14 4.5 San Sebastian 0 0 0 0 0 0 0 0 Santa Lina 0 0 3 1.3 220 94.8 7 3.0 Shalom 0 0 3 2.1 0 0 0 0 Tumog 4 1.3 5 1.6 20 6.4 0 0 Turod 0 0 15 6.6 39 17.3 1 0.4 Zumigui 3 1.9 1 0.6 44 28.2 2 1.3

PUDTOL Aga 0 0 20 24.4 63 76.8 50 61.0 Alem 0 0 0 0 0 0 0 0 Amado 2 1.3 1 0.6 4 2.5 1 0.6 Aurora 1 1.6 58 92.1 58 92.1 59 93.7 Cabatacan 1 0.3 4 1.4 2 0.7 0 0 Cacalaggan 0 0 103 88.8 76 65.5 95 81.9 Capannikian 10 3.5 0 0 1 0.4 9 3.2 Doña Loreta 0 0 30 26.5 2 1.8 0 0 Emilia 1 0.9 2 1.7 1 0.9 0 0 Imelda 0 0 1 0.8 0 0 0 0 Lower Maton 1 1.4 3 4.2 68 95.8 60 84.5 Lt. Bilag 0 0 26 100.0 18 69.2 20 76.9 Lydia 0 0 87 86.1 34 33.7 16 15.8 Malibang 1 1.1 70 74.5 94 100.0 71 75.5 Mataguisi 3 1.6 17 9.2 141 76.6 85 46.2 Poblacion 0 0 2 1.0 0 0 0 0 San Antonio (Pugo) 2 3.3 5 8.3 0 0 0 0 San Jose 1 1.4 0 0 32 44.4 13 18.1 San Luis 6 4.2 2 1.4 0 0 0 0 San Mariano 0 0 0 0 6 7.1 2 2.4 Swan 3 1.1 11 3.9 42 14.9 16 5.7 Upper Maton 0 0 2 2.5 70 86.4 33 40.7

The Many Faces of Poverty (Volume 6) 28 Table 2. Housing, Water and Sanitation Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Households living in Households who are Households without Households without makeshift housing informal settlers access to safe water access to sanitary s u p p l y toilet facilities M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n

SANTA MARCELA Barocboc 7 2.1 7 2.1 90 26.8 11 3.3 Consuelo 9 4.5 18 9.0 169 84.1 3 1.5 Emiliana 3 1.4 2 0.9 131 61.8 14 6.6 Imelda (Sipa Annex) 2 0.8 5 1.9 148 56.1 4 1.5 Malekkeg 2 0.8 11 4.2 207 79.6 5 1.9 Marcela (Pob.) 14 5.2 10 3.7 229 85.4 16 6.0 Nueva 1 0.5 1 0.5 91 47.9 4 2.1 Panay 21 10.1 51 24.6 108 52.2 13 6.3 San Antonio 1 0.5 8 4.1 131 67.9 5 2.6 San Carlos 1 0.3 16 5.4 171 57.6 5 1.7 San Juan 0 0 2 1.3 120 80.0 12 8.0 San Mariano 11 4.7 1 0.4 196 83.8 37 15.8 Sipa Proper 8 2.9 7 2.5 81 28.9 14 5.0

The Many Faces of Poverty (Volume 6) 29 CBMS Poverty Maps: Apayao

Map 15. Proportion of Children 6-11 years old Not Attending Elementary School, by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n Calanasan 259 15.9 Santa Marcela 233 14.9 Conner 468 13.7 Kabugao 279 12.8 Pudtol 257 12.8 Luna 285 11.8 Flora 241 11.0

Map 16. Proportion of Children 6-11 years old Not Attending Elementary School, by Barangay, 2014

Bottom 11 Barangays Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Santa Marcela San Juan 29 42.0 Calanasan Lubong 25 29.4 Kabugao Maragat 18 26.9 Luna Luyon 11 26.8 Calanasan Kabugawan 15 23.1 Pudtol Aurora 12 22.2 Flora Malubibit Sur 16 21.9 Pudtol Aga 12 21.8 Pudtol San Mariano 12 21.8 Kabugao Dagara 21 21.4 Calanasan Eleazar 6 21.4

The Many Faces of Poverty (Volume 6) 30 CBMS Poverty Maps: Apayao

Map 17. Proportion of Children 12-15 years old Not Attending High School, by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n Calanasan 600 52.9 Conner 1,139 49.0 Kabugao 642 46.9 Pudtol 605 46.9 Santa Marcela 411 42.0 Luna 606 39.4 Flora 560 38.7

Map 18. Proportion of Children 12-15 years old Not Attending High School, by Barangay, 2014

Bottom 10 Barangays Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Flora Anninipan 33 40.7 Pudtol Alem 45 40.5 Calanasan Tanglagan 82 40.4 Luna Lappa 24 40.0 Luna Zumigui 16 40.0 Calanasan Santa Filomena 33 39.8 Santa Marcela Imelda (Sipa Annex) 27 39.7 Pudtol Imelda 19 39.6 Pudtol San Luis 29 38.7 Luna Shalom 26 38.2

The Many Faces of Poverty (Volume 6) 31 CBMS Poverty Maps: Apayao

Map 19. Proportion of Children 6-15 years old Not Attending School, by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n Calanasan 212 7.7 Santa Marcela 169 6.7 Flora 231 6.4 Conner 354 6.2 Kabugao 199 5.6 Luna 192 4.9 Pudtol 143 4.3

Map 20. Proportion of Children 6-15 years old Not Attending School, by Barangay, 2014

Bottom 10 Barangays Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Santa Marcela San Juan 27 21.8 Flora Upper Atok 15 21.1 Flora Mallig 30 20.7 Luna Luyon 14 20.0 Calanasan Don Roque Ablan Sr. 11 16.9 Calanasan Santa Elena 11 16.4 Luna Calabigan 27 16.0 Calanasan Langnao 7 15.2 Conner Banban 36 14.8 Calanasan Kabugawan 16 13.8

The Many Faces of Poverty (Volume 6) 32 Table 3. Education Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Number of Children not Number of Children not Number of Children not ch ildren a tten d in g ch ildren attending high ch ildren attending school (6-11 years elementary school ( 1 2 - 1 5 s ch oo l (6-15 years (6-15 years old) old) (6-11 years old) years old) (12-15 years old) old)

M ag n i tu d e P r o p or t i o n M ag nitude P r o p or t i o n M ag nitude P r o p or t i o n

CALANASAN Butao 109 21 19.3 72 47 65.3 181 21 11.6 Cadaclan 86 15 17.4 48 28 58.3 134 8 6.0 Don Roque Ablan Sr. 35 6 17.1 30 24 80.0 65 11 16.9 Eleazar 28 6 21.4 14 4 28.6 42 1 2.4 Eva Puzon 127 19 15.0 115 51 44.3 242 20 8.3 Kabugawan 65 15 23.1 51 39 76.5 116 16 13.8 Langnao 25 5 20.0 21 15 71.4 46 7 15.2 Lubong 85 25 29.4 33 29 87.9 118 13 11.0 Macalino 61 3 4.9 33 11 33.3 94 7 7.4 Naguilian 46 8 17.4 26 12 46.2 72 7 9.7 Namaltugan 119 13 10.9 92 59 64.1 211 15 7.1 Poblacion 255 54 21.2 165 70 42.4 420 29 6.9 Sabangan 33 7 21.2 37 24 64.9 70 9 12.9 Santa Elena 39 6 15.4 28 14 50.0 67 11 16.4 Santa Filomena 126 13 10.3 83 33 39.8 209 3 1.4 Tanglagan 267 30 11.2 203 82 40.4 470 24 5.1 Tubang 69 9 13.0 40 26 65.0 109 6 5.5 Tubongan 59 4 6.8 43 32 74.4 102 4 3.9

CONNER Allangigan 53 10 18.9 37 28 75.7 90 8 8.9 Banban 149 25 16.8 95 57 60.0 244 36 14.8 Buluan 223 21 9.4 155 76 49.0 378 9 2.4 Caglayan (New Pob.) 297 48 16.2 187 78 41.7 484 42 8.7 Calafug 152 27 17.8 94 59 62.8 246 19 7.7 Cupis 62 6 9.7 32 17 53.1 94 2 2.1 Daga 194 30 15.5 131 68 51.9 325 30 9.2 Guinaang 214 44 20.6 140 69 49.3 354 22 6.2 Guinamgaman 108 15 13.9 89 58 65.2 197 21 10.7 Ili 174 15 8.6 121 52 43.0 295 7 2.4 Karikitan 221 31 14.0 174 97 55.7 395 22 5.6 Katablangan 85 14 16.5 71 45 63.4 156 10 6.4 Malama 352 57 16.2 241 80 33.2 593 34 5.7 Manag 181 26 14.4 146 60 41.1 327 9 2.8 Mawegui 90 13 14.4 54 35 64.8 144 6 4.2 Nabuangan 83 8 9.6 50 30 60.0 133 6 4.5 Paddaoan 212 14 6.6 140 57 40.7 352 20 5.7 Puguin 120 8 6.7 77 41 53.2 197 10 5.1 Ripang (Old Pob.) 144 21 14.6 93 43 46.2 237 15 6.3 Sacpil 162 20 12.3 104 55 52.9 266 15 5.6 Talifugo 150 15 10.0 94 34 36.2 244 11 4.5

FLORA Allig 202 20 9.9 113 36 31.9 315 18 5.7 Anninipan 126 11 8.7 81 33 40.7 207 15 7.2 Atok 120 16 13.3 91 39 42.9 211 20 9.5 Bagutong 172 23 13.4 125 27 21.6 297 7 2.4 Balasi 47 4 8.5 24 21 87.5 71 5 7.0 Balluyan 164 19 11.6 112 51 45.5 276 27 9.8 Malayugan 155 8 5.2 102 49 48.0 257 11 4.3 Mallig 85 14 16.5 60 42 70.0 145 30 20.7 Malubibit Norte 130 14 10.8 78 28 35.9 208 7 3.4 Malubibit Sur 73 16 21.9 40 18 45.0 113 10 8.8 Poblacion East 327 29 8.9 229 61 26.6 556 18 3.2 Poblacion West 167 12 7.2 128 37 28.9 295 14 4.7 San Jose 115 12 10.4 74 37 50.0 189 13 6.9 Santa Maria 123 22 17.9 91 45 49.5 214 12 5.6 Tamalunog 127 10 7.9 81 24 29.6 208 9 4.3 Upper Atok (Coliman) 52 11 21.2 19 12 63.2 71 15 21.1

KABUGAO Badduat 144 26 18.1 68 34 50.0 212 18 8.5 Baliwanan 96 17 17.7 50 38 76.0 146 9 6.2 Bulu 33 4 12.1 29 21 72.4 62 6 9.7 Cabetayan 110 15 13.6 68 42 61.8 178 17 9.6

The Many Faces of Poverty (Volume 6) 33 Table 3. Education Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Number of Children not Number of Children not Number of Children not ch ildren a tten d in g ch ildren attending high ch ildren attending school (6-11 years elementary school ( 1 2 - 1 5 s ch oo l (6-15 years (6-15 years old) old) (6-11 years old) years old) (12-15 years old) old)

M ag n i tu d e P r o p or t i o n M ag nitude P r o p or t i o n M ag nitude P r o p or t i o n

KABUGAO Dagara 98 21 21.4 36 28 77.8 134 12 9.0 Dibagat 88 15 17.0 67 31 46.3 155 13 8.4 Karagawan 80 12 15.0 44 20 45.5 124 11 8.9 Kumao 75 7 9.3 58 35 60.3 133 9 6.8 Laco 72 13 18.1 34 23 67.6 106 7 6.6 Lenneng (Liyyeng) 369 32 8.7 211 53 25.1 580 15 2.6 Lucab 96 9 9.4 57 26 45.6 153 6 3.9 Luttuacan 124 13 10.5 97 32 33.0 221 9 4.1 Madatag 123 11 8.9 77 37 48.1 200 2 1.0 Madduang 61 6 9.8 46 32 69.6 107 10 9.3 Magabta 18 3 16.7 9 5 55.6 27 1 3.7 Maragat 67 18 26.9 43 22 51.2 110 15 13.6 Musimut 123 18 14.6 70 45 64.3 193 13 6.7 Nagbabalayan 79 10 12.7 54 24 44.4 133 5 3.8 Poblacion 238 22 9.2 189 54 28.6 427 10 2.3 Tuyangan 43 3 7.0 29 21 72.4 72 4 5.6 Waga 44 4 9.1 33 19 57.6 77 7 9.1

LUNA Bacsay 110 15 13.6 81 22 27.2 191 5 2.6 Cagandungan 105 5 4.8 73 44 60.3 178 3 1.7 Calabigan 110 22 20.0 59 44 74.6 169 27 16.0 Cangisitan 110 13 11.8 46 15 32.6 156 1 0.6 Capagaypayan 55 7 12.7 42 21 50.0 97 12 12.4 Dagupan 303 29 9.6 160 55 34.4 463 11 2.4 Lappa 99 10 10.1 60 24 40.0 159 4 2.5 Luyon 41 11 26.8 29 13 44.8 70 14 20.0 Marag 84 12 14.3 68 34 50.0 152 11 7.2 Poblacion 126 11 8.7 82 24 29.3 208 4 1.9 Quirino 174 22 12.6 99 34 34.3 273 9 3.3 Salvacion 48 7 14.6 32 16 50.0 80 8 10.0 San Francisco 81 8 9.9 69 23 33.3 150 2 1.3 San Gregorio 61 4 6.6 37 7 18.9 98 4 4.1 San Isidro Norte 102 13 12.7 77 28 36.4 179 9 5.0 San Isidro Sur 185 11 5.9 115 34 29.6 300 15 5.0 San Sebastian 25 2 8.0 19 3 15.8 44 0 0 Santa Lina 129 22 17.1 96 43 44.8 225 11 4.9 Shalom 101 4 4.0 68 26 38.2 169 7 4.1 Tumog 156 18 11.5 98 41 41.8 254 15 5.9 Turod 131 24 18.3 87 39 44.8 218 14 6.4 Zumigui 79 15 19.0 40 16 40.0 119 6 5.0

PUDTOL Aga 55 12 21.8 38 28 73.7 93 10 10.8 Alem 191 24 12.6 111 45 40.5 302 2 0.7 Amado 89 5 5.6 59 19 32.2 148 5 3.4 Aurora 54 12 22.2 27 22 81.5 81 5 6.2 Cabatacan 185 18 9.7 125 39 31.2 310 11 3.5 Cacalaggan 78 9 11.5 49 38 77.6 127 1 0.8 Capannikian 198 21 10.6 99 28 28.3 297 8 2.7 Doña Loreta 72 7 9.7 53 19 35.8 125 2 1.6 Emilia 45 7 15.6 44 10 22.7 89 4 4.5 Imelda 83 8 9.6 48 19 39.6 131 8 6.1 Lower Maton 54 4 7.4 20 12 60.0 74 1 1.4 Lt. Bilag 21 2 9.5 4 2 50.0 25 1 4.0 Lydia 67 11 16.4 38 20 52.6 105 7 6.7 Malibang 80 17 21.2 57 42 73.7 137 16 11.7 Mataguisi 163 25 15.3 117 76 65.0 280 19 6.8 Poblacion 82 8 9.8 59 15 25.4 141 2 1.4 San Antonio (Pugo) 25 3 12.0 13 7 53.8 38 4 10.5 San Jose 47 9 19.1 38 25 65.8 85 5 5.9 San Luis 100 10 10.0 75 29 38.7 175 3 1.7 San Mariano 55 12 21.8 39 16 41.0 94 12 12.8 Swan 197 24 12.2 141 63 44.7 338 9 2.7 Upper Maton 61 9 14.8 37 31 83.8 98 8 8.2

The Many Faces of Poverty (Volume 6) 34 Table 3. Education Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Number of Children not Number of Children not Number of Children not ch ildren a tten d in g ch ildren attending high ch ildren attending school (6-11 years elementary school ( 1 2 - 1 5 s ch oo l (6-15 years (6-15 years old) old) (6-11 years old) years old) (12-15 years old) old)

M ag n i tu d e P r o p or t i o n M ag nitude P r o p or t i o n M ag nitude P r o p or t i o n

SANTA MARCELA Barocboc 184 34 18.5 97 49 50.5 281 27 9.6 Consuelo 95 16 16.8 77 34 44.2 172 20 11.6 Emiliana 94 9 9.6 53 14 26.4 147 2 1.4 Imelda (Sipa Annex) 120 12 10.0 68 27 39.7 188 1 0.5 Malekkeg 127 22 17.3 85 45 52.9 212 21 9.9 Marcela (Pob.) 168 21 12.5 95 33 34.7 263 11 4.2 Nueva 80 9 11.2 50 16 32.0 130 9 6.9 Panay 120 20 16.7 71 33 46.5 191 16 8.4 San Antonio 85 9 10.6 77 20 26.0 162 6 3.7 San Carlos 163 31 19.0 99 48 48.5 262 23 8.8 San Juan 69 29 42.0 55 34 61.8 124 27 21.8 San Mariano 128 11 8.6 86 39 45.3 214 4 1.9 Sipa Proper 129 10 7.8 65 19 29.2 194 2 1.0

The Many Faces of Poverty (Volume 6) 35 CBMS Poverty Maps: Apayao

Map 21. Proportion of Households with Income Below the Poverty Threshold, by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n Kabugao 2,598 79.2 Calanasan 1,655 71.5 Pudtol 1,691 56.1 Conner 2,609 50.2 Santa Marcela 1,538 49.7 Flora 1,830 46.9 Luna 1,249 30.1

Map 22. Proportion of Households with Income Below the Poverty Threshold, by Barangay, 2014

Bottom 10 Barangays Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Kabugao Kumao 127 97.7 Kabugao Dagara 89 96.7 Kabugao Musimut 169 96.6 Flora Balasi 54 96.4 Pudtol Lt. Bilag 25 96.2 Kabugao Madduang 85 95.5 Calanasan Tubang 89 94.7 Kabugao Laco 135 94.4 Kabugao Maragat 97 93.3 Kabugao Madatag 157 92.9

The Many Faces of Poverty (Volume 6) 36 CBMS Poverty Maps: Apayao

Map 23. Proportion of Households with Income Below the Food Threshold, by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n Kabugao 2,292 69.9 Calanasan 1,354 58.5 Pudtol 1,245 41.3 Conner 1,873 36.1 Santa Marcela 1,084 35.1 Flora 1,175 30.1 Luna 693 16.7

Map 24. Proportion of Households with Income Below the Food Threshold, by Barangay, 2014

Bottom 10 Barangays Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Kabugao Musimut 168 96.0 Kabugao Kumao 121 93.1 Kabugao Dagara 85 92.4 Kabugao Maragat 96 92.3 Kabugao Madatag 154 91.1 Flora Balasi 51 91.1 Calanasan Tubang 85 90.4 Kabugao Laco 128 89.5 Kabugao Dibagat 131 88.5 Kabugao Tuyangan 58 87.9

The Many Faces of Poverty (Volume 6) 37 CBMS Poverty Maps: Apayao

Map 25. Proportion of Households who Experienced Hunger Due to Food Shortage, by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n Pudtol 103 3.4 Santa Marcela 83 2.7 Luna 100 2.4 Calanasan 25 1.1 Kabugao 3 0.1 Conner 0 0 Flora 0 0

Map 26. Proportion of Households who Experienced Hunger Due to Food Shortage, by Barangay, 2014

Bottom 10 Barangays Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Pudtol Aga 26 31.7 Pudtol Mataguisi 58 31.5 Luna Marag 27 23.1 Santa Marcela Panay 40 19.3 Luna Salvacion 12 16.0 Pudtol San Jose 10 13.9 Luna Capagaypayan 13 11.5 Calanasan Macalino 5 10.2 Luna Zumigui 13 8.3 Santa Marcela San Juan 8 5.3

The Many Faces of Poverty (Volume 6) 38 Table 4. Income Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Households with income below the Households with income below Households who experienced poverty threshold the food threshold hunger due to food shortage

M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n

CALANASAN Butao 103 82.4 90 72.0 1 0.8 Cadaclan 83 88.3 77 81.9 0 0 Don Roque Ablan Sr. 50 92.6 41 75.9 0 0 Eleazar 17 70.8 15 62.5 0 0 Eva Puzon 136 61.8 95 43.2 11 5.0 Kabugawan 91 91.9 82 82.8 0 0 Langnao 38 77.6 32 65.3 0 0 Lubong 81 89.0 66 72.5 0 0 Macalino 45 91.8 42 85.7 5 10.2 Naguilian 51 70.8 35 48.6 0 0 Namaltugan 136 82.9 121 73.8 1 0.6 Poblacion 155 41.3 119 31.7 2 0.5 Sabangan 41 53.2 29 37.7 0 0 Santa Elena 41 82.0 34 68.0 1 2.0 Santa Filomena 131 65.5 95 47.5 0 0 Tanglagan 313 76.0 253 61.4 1 0.2 Tubang 89 94.7 85 90.4 0 0 Tubongan 54 80.6 43 64.2 3 4.5

CONNER Allangigan 69 84.1 64 78.0 0 0 Banban 124 55.9 77 34.7 0 0 Buluan 126 39.7 67 21.1 0 0 Caglayan (New Pob.) 230 50.9 203 44.9 0 0 Calafug 138 73.8 113 60.4 0 0 Cupis 29 31.2 17 18.3 0 0 Daga 134 48.4 70 25.3 0 0 Guinaang 171 57.4 111 37.2 0 0 Guinamgaman 99 51.3 63 32.6 0 0 Ili 152 57.8 116 44.1 0 0 Karikitan 153 40.9 94 25.1 0 0 Katablangan 104 86.7 91 75.8 0 0 Malama 184 31.8 120 20.7 0 0 Manag 146 40.8 96 26.8 0 0 Mawegui 17 9.2 8 4.3 0 0 Nabuangan 93 82.3 74 65.5 0 0 Paddaoan 181 54.4 133 39.9 0 0 Puguin 111 72.5 91 59.5 0 0 Ripang (Old Pob.) 95 48.2 73 37.1 0 0 Sacpil 125 63.8 91 46.4 0 0 Talifugo 128 63.1 101 49.8 0 0

FLORA Allig 175 49.2 106 29.8 0 0 Anninipan 90 39.3 52 22.7 0 0 Atok 65 31.9 39 19.1 0 0 Bagutong 103 34.2 60 19.9 0 0 Balasi 54 96.4 51 91.1 0 0 Balluyan 150 48.1 94 30.1 0 0 Malayugan 167 55.7 101 33.7 0 0 Mallig 122 77.7 98 62.4 0 0 Malubibit Norte 134 50.6 76 28.7 0 0 Malubibit Sur 67 50.4 46 34.6 0 0 Poblacion East 139 23.7 60 10.2 0 0 Poblacion West 128 39.4 76 23.4 0 0 San Jose 129 80.6 110 68.8 0 0 Santa Maria 103 46.0 58 25.9 0 0 Tamalunog 166 69.7 120 50.4 0 0 Upper Atok (Coliman) 38 63.3 28 46.7 0 0

KABUGAO Badduat 135 63.1 110 51.4 0 0 Baliwanan 67 73.6 47 51.6 0 0 Bulu 70 87.5 58 72.5 0 0 Cabetayan 120 85.7 108 77.1 0 0

The Many Faces of Poverty (Volume 6) 39 Table 4. Income Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Households with income Households with income Households who experienced below the poverty threshold below the food threshold hunger due to food shortage

M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n

KABUGAO Dagara 89 96.7 85 92.4 0 0 Dibagat 135 91.2 131 88.5 0 0 Karagawan 138 82.1 116 69.0 0 0 Kumao 127 97.7 121 93.1 3 2.3 Laco 135 94.4 128 89.5 0 0 Lenneng (Liyyeng) 434 85.8 387 76.5 0 0 Lucab 109 87.9 100 80.6 0 0 Luttuacan 132 67.7 103 52.8 0 0 Madatag 157 92.9 154 91.1 0 0 Madduang 85 95.5 76 85.4 0 0 Magabta 36 85.7 27 64.3 0 0 Maragat 97 93.3 96 92.3 0 0 Musimut 169 96.6 168 96.0 0 0 Nagbabalayan 96 82.1 82 70.1 0 0 Poblacion 153 36.7 109 26.1 0 0 Tuyangan 60 90.9 58 87.9 0 0 Waga 53 75.7 27 38.6 0 0

LUNA Bacsay 37 17.6 19 9.0 7 3.3 Cagandungan 88 64.2 46 33.6 0 0 Calabigan 93 72.1 67 51.9 3 2.3 Cangisitan 89 56.0 66 41.5 0 0 Capagaypayan 26 23.0 12 10.6 13 11.5 Dagupan 96 18.3 28 5.3 2 0.4 Lappa 17 9.7 11 6.2 0 0 Luyon 38 49.4 16 20.8 0 0 Marag 40 34.2 23 19.7 27 23.1 Poblacion 34 12.4 11 4.0 0 0 Quirino 83 32.2 43 16.7 12 4.7 Salvacion 38 50.7 17 22.7 12 16.0 San Francisco 65 36.5 43 24.2 0 0 San Gregorio 34 30.9 12 10.9 5 4.5 San Isidro Norte 38 23.9 20 12.6 0 0 San Isidro Sur 47 15.0 19 6.1 4 1.3 San Sebastian 35 53.0 26 39.4 0 0 Santa Lina 119 51.3 73 31.5 0 0 Shalom 29 20.6 8 5.7 2 1.4 Tumog 94 30.2 55 17.7 0 0 Turod 99 43.8 73 32.3 0 0 Zumigui 10 6.4 5 3.2 13 8.3

PUDTOL Aga 68 82.9 61 74.4 26 31.7 Alem 127 44.7 61 21.5 0 0 Amado 87 55.4 65 41.4 0 0 Aurora 54 85.7 46 73.0 0 0 Cabatacan 117 40.2 68 23.4 0 0 Cacalaggan 92 79.3 67 57.8 0 0 Capannikian 108 38.2 74 26.1 0 0 Doña Loreta 80 70.8 68 60.2 0 0 Emilia 41 35.0 29 24.8 0 0 Imelda 54 45.0 26 21.7 0 0 Lower Maton 50 70.4 38 53.5 2 2.8 Lt. Bilag 25 96.2 21 80.8 0 0 Lydia 90 89.1 75 74.3 0 0 Malibang 80 85.1 67 71.3 0 0 Mataguisi 156 84.8 139 75.5 58 31.5 Poblacion 37 19.3 22 11.5 0 0 San Antonio (Pugo) 30 50.0 18 30.0 0 0 San Jose 57 79.2 41 56.9 10 13.9 San Luis 76 53.5 58 40.8 1 0.7 San Mariano 51 60.0 39 45.9 1 1.2 Swan 165 58.5 129 45.7 5 1.8 Upper Maton 46 56.8 33 40.7 0 0

The Many Faces of Poverty (Volume 6) 40 Table 4. Income Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Households with income Households with income Households who experienced below the poverty threshold below the food threshold hunger due to food shortage

M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n

SANTA MARCELA Barocboc 227 67.6 187 55.7 3 0.9 Consuelo 110 54.7 75 37.3 1 0.5 Emiliana 94 44.3 50 23.6 4 1.9 Imelda (Sipa Annex) 96 36.4 56 21.2 0 0 Malekkeg 155 59.6 122 46.9 3 1.2 Marcela (Pob.) 143 53.4 94 35.1 7 2.6 Nueva 68 35.8 46 24.2 0 0 Panay 131 63.3 99 47.8 40 19.3 San Antonio 89 46.1 61 31.6 7 3.6 San Carlos 107 36.0 63 21.2 10 3.4 San Juan 89 59.3 67 44.7 8 5.3 San Mariano 112 47.9 84 35.9 0 0 Sipa Proper 117 41.8 80 28.6 0 0

The Many Faces of Poverty (Volume 6) 41 CBMS Poverty Maps: Apayao

Map 27. Unemployment Rate (15 years old and above), by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n Luna 690 10.7 Calanasan 516 9.4 Pudtol 267 5.2 Conner 355 3.7 Flora 154 2.5 Santa Marcela 127 2.5 Kabugao 32 0.5

Map 28. Unemployment Rate (15 years old and above), by Barangay, 2014

Bottom 10 Barangays Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Luna Zumigui 71 40.3 Luna Marag 53 28.6 Luna San Sebastian 28 26.2 Pudtol Lydia 40 20.4 Calanasan Tanglagan 148 17.9 Luna Shalom 43 17.8 Calanasan Poblacion 158 16.3 Luna San Isidro Norte 42 16.3 Luna Cangisitan 38 16.2 Luna Lappa 40 14.2

The Many Faces of Poverty (Volume 6) 42 CBMS Poverty Maps: Apayao

Map 29. Proportion of Persons who are Victims of Crime, by Municipality, 2014

Municipality M ag n i tu d e P r o p or t i o n Pudtol 54 0.4 Luna 17 0.1 Santa Marcela 12 0.1 Calanasan 11 0.1 Conner 11 0.0 Flora 5 0.0 Kabugao 5 0.0

Map 30. Proportion of Persons who are Victims of Crime, by Barangay, 2014

Bottom 11 Barangays Municipality B ar a n g a y M ag n i tu d e P r o p or t i o n Pudtol Mataguisi 24 2.5 Pudtol Aga 9 2.4 Santa Marcela San Juan 6 1.1 Pudtol Lower Maton 4 1.1 Pudtol Capannikian 9 0.7 Luna Salvacion 2 0.6 Calanasan Eva Puzon 5 0.5 Pudtol San Mariano 2 0.5 Luna Bacsay 3 0.4 Kabugao Madduang 2 0.4 Calanasan Santa Elena 1 0.4

The Many Faces of Poverty (Volume 6) 43 Table 5. Unemployment and Victims of Crime Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Number of persons in Unemployment rate Persons who are victims of the labor force (15 years old and above) crim es (15 years old and a b ov e ) M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n

CALANASAN Butao 426 41 9.6 0 0 Cadaclan 239 21 8.8 2 0.3 Don Roque Ablan Sr. 153 8 5.2 0 0 Eleazar 61 4 6.6 0 0 Eva Puzon 449 59 13.1 5 0.5 Kabugawan 223 14 6.3 0 0 Langnao 107 5 4.7 0 0 Lubong 252 1 0.4 0 0 Macalino 132 0 0 0 0 Naguilian 166 5 3.0 1 0.3 Namaltugan 396 8 2.0 0 0 Poblacion 969 158 16.3 0 0 Sabangan 194 12 6.2 0 0 Santa Elena 124 0 0 1 0.4 Santa Filomena 398 19 4.8 0 0 Tanglagan 828 148 17.9 2 0.1 Tubang 170 10 5.9 0 0 Tubongan 195 3 1.5 0 0

CONNER Allangigan 141 0 0 0 0 Banban 385 0 0 0 0 Buluan 702 20 2.8 0 0 Caglayan (New Pob.) 752 18 2.4 7 0.3 Calafug 301 42 14.0 0 0 Cupis 203 2 1.0 0 0 Daga 511 17 3.3 0 0 Guinaang 485 0 0 1 0.1 Guinamgaman 376 2 0.5 0 0 Ili 485 27 5.6 0 0 Karikitan 709 34 4.8 0 0 Katablangan 322 2 0.6 0 0 Malama 1088 100 9.2 2 0.1 Manag 725 48 6.6 0 0 Mawegui 304 0 0 0 0 Nabuangan 291 8 2.7 0 0 Paddaoan 617 23 3.7 1 0.1 Puguin 349 1 0.3 0 0 Ripang (Old Pob.) 381 8 2.1 0 0 Sacpil 292 1 0.3 0 0 Talifugo 275 2 0.7 0 0

FLORA Allig 621 24 3.9 0 0 Anninipan 351 11 3.1 0 0 Atok 297 8 2.7 0 0 Bagutong 515 9 1.7 0 0 Balasi 87 5 5.7 0 0 Balluyan 440 12 2.7 3 0.2 Malayugan 414 4 1.0 1 0.1 Mallig 210 2 1.0 0 0 Malubibit Norte 410 4 1.0 0 0 Malubibit Sur 201 6 3.0 0 0 Poblacion East 962 32 3.3 0 0 Poblacion West 540 23 4.3 0 0 San Jose 267 0 0 1 0.1 Santa Maria 319 3 0.9 0 0 Tamalunog 406 10 2.5 0 0 Upper Atok (Coliman) 100 1 1.0 0 0

KABUGAO Badduat 439 0 0 0 0 Baliwanan 234 0 0 0 0 Bulu 179 0 0 0 0 Cabetayan 269 4 1.5 1 0.2

The Many Faces of Poverty (Volume 6) 44 Table 5. Unemployment and Victims of Crime Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Number of persons in Unemployment rate Persons who are victims of the labor force (15 years old and above) crim es (15 years old and a b ov e ) M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n

KABUGAO Dagara 163 1 0.6 0 0 Dibagat 284 1 0.4 1 0.1 Karagawan 444 2 0.5 0 0 Kumao 352 0 0 0 0 Laco 404 0 0 0 0 Lenneng (Liyyeng) 956 4 0.4 0 0 Lucab 262 10 3.8 0 0 Luttuacan 350 0 0 0 0 Madatag 192 0 0 0 0 Madduang 158 0 0 2 0.4 Magabta 83 0 0 0 0 Maragat 39 2 5.1 0 0 Musimut 451 5 1.1 0 0 Nagbabalayan 310 1 0.3 1 0.2 Poblacion 731 2 0.3 0 0 Tuyangan 147 0 0 0 0 Waga 162 0 0 0 0

LUNA Bacsay 352 26 7.4 3 0.4 Cagandungan 191 11 5.8 0 0 Calabigan 238 18 7.6 0 0 Cangisitan 234 38 16.2 1 0.2 Capagaypayan 156 3 1.9 0 0 Dagupan 733 93 12.7 3 0.1 Lappa 282 40 14.2 0 0 Luyon 72 4 5.6 0 0 Marag 185 53 28.6 0 0 Poblacion 399 16 4.0 2 0.2 Quirino 377 21 5.6 2 0.2 Salvacion 154 8 5.2 2 0.6 San Francisco 267 33 12.4 0 0 San Gregorio 158 13 8.2 0 0 San Isidro Norte 257 42 16.3 2 0.3 San Isidro Sur 535 43 8.0 1 0.1 San Sebastian 107 28 26.2 0 0 Santa Lina 523 27 5.2 0 0 Shalom 241 43 17.8 0 0 Tumog 411 19 4.6 0 0 Turod 416 40 9.6 0 0 Zumigui 176 71 40.3 1 0.2

PUDTOL Aga 117 6 5.1 9 2.4 Alem 446 28 6.3 2 0.2 Amado 264 21 8.0 0 0 Aurora 100 1 1.0 0 0 Cabatacan 498 7 1.4 2 0.2 Cacalaggan 173 0 0 0 0 Capannikian 548 30 5.5 9 0.7 Doña Loreta 178 21 11.8 0 0 Emilia 170 14 8.2 1 0.2 Imelda 212 11 5.2 0 0 Lower Maton 113 2 1.8 4 1.1 Lt. Bilag 59 0 0 0 0 Lydia 196 40 20.4 0 0 Malibang 173 0 0 0 0 Mataguisi 309 5 1.6 24 2.5 Poblacion 374 24 6.4 1 0.1 San Antonio (Pugo) 67 8 11.9 0 0 San Jose 140 1 0.7 0 0 San Luis 209 27 12.9 0 0 San Mariano 153 5 3.3 2 0.5 Swan 499 16 3.2 0 0 Upper Maton 115 0 0 0 0

The Many Faces of Poverty (Volume 6) 45 Table 5. Unemployment and Victims of Crime Indicators, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y Number of persons in Unemployment rate Persons who are victims of the labor force (15 years old and above) crim es (15 years old and a b ov e ) M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n

SANTA MARCELA Barocboc 547 10 1.8 0 0 Consuelo 398 9 2.3 0 0 Emiliana 317 5 1.6 1 0.1 Imelda (Sipa Annex) 363 3 0.8 0 0 Malekkeg 360 15 4.2 0 0 Marcela (Pob.) 492 9 1.8 2 0.2 Nueva 306 9 2.9 1 0.1 Panay 310 13 4.2 0 0 San Antonio 289 4 1.4 0 0 San Carlos 546 17 3.1 0 0 San Juan 293 0 0 6 1.1 San Mariano 387 5 1.3 1 0.1 Sipa Proper 377 28 7.4 1 0.1

The Many Faces of Poverty (Volume 6) 46 CBMS Poverty Maps: Apayao

Map 31. CBMS Composite Indicator, by Municipality, 2014

Municipality A v er a g e Kabugao 2.6 Calanasan 2.0 Pudtol 1.7 Santa Marcela 1.7 Flora 1.7 Conner 1.4 Luna 1.0

Map 32. CBMS Composite Indicator, by Barangay, 2011-2014

Bottom 10 Barangays Municipality B ar a n g a y A v er a g e Pudtol Aurora 4.5 Pudtol Lt. Bilag 4.3 Kabugao Baliwanan 4.2 Pudtol Malibang 4.2 Pudtol Aga 3.9 Kabugao Bulu 3.9 Kabugao Musimut 3.8 Kabugao Madduang 3.8 Pudtol Cacalaggan 3.8 Pudtol Mataguisi 3.6

The Many Faces of Poverty (Volume 6) 47 Table 6. CBMS Composite Indicator, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y CBMS Composite Municipality B a ra n g a y CBMS Composite Indicator Indicator

CALANASAN Butao 2.7 KABUGAO Dagara 3.4 Cadaclan 2.5 Dibagat 2.9 Don Roque Ablan Sr. 2.2 Karagawan 2.8 Eleazar 1.7 Kumao 2.6 Eva Puzon 1.7 Laco 3.3 Kabugawan 2.3 Lenneng (Liyyeng) 2.2 Langnao 3.0 Lucab 3.2 Lubong 3.1 Luttuacan 2.2 Macalino 2.9 Madatag 2.9 Naguilian 1.7 Madduang 3.8 Namaltugan 2.4 Magabta 2.6 Poblacion 1.1 Maragat 3.0 Sabangan 1.4 Musimut 3.8 Santa Elena 2.8 Nagbabalayan 2.4 Santa Filomena 1.4 Poblacion 1.1 Tanglagan 2.0 Tuyangan 2.8 Tubang 2.6 Waga 2.3 Tubongan 2.0

LUNA Bacsay 0.7 CONNER Allangigan 3.1 Cagandungan 2.4 Banban 2.2 Calabigan 2.8 Buluan 1.0 Cangisitan 1.2 Caglayan (New Pob.) 1.2 Capagaypayan 0.7 Calafug 2.0 Dagupan 0.5 Cupis 0.6 Lappa 0.6 Daga 1.5 Luyon 1.0 Guinaang 1.3 Marag 1.9 Guinamgaman 2.3 Poblacion 0.5 Ili 1.4 Quirino 0.9 Karikitan 1.2 Salvacion 2.0 Katablangan 2.1 San Francisco 0.8 Malama 0.8 San Gregorio 1.4 Manag 1.0 San Isidro Norte 0.7 Mawegui 0.6 San Isidro Sur 0.6 Nabuangan 2.0 San Sebastian 1.3 Paddaoan 1.3 Santa Lina 2.0 Puguin 2.6 Shalom 0.6 Ripang (Old Pob.) 1.1 Tumog 0.7 Sacpil 1.6 Turod 1.2 Talifugo 1.8 Zumigui 0.9

FLORA Allig 1.4 PUDTOL Aga 3.9 Anninipan 1.3 Alem 0.8 Atok 1.6 Amado 1.2 Bagutong 1.2 Aurora 4.5 Balasi 3.2 Cabatacan 0.7 Balluyan 1.7 Cacalaggan 3.8 Malayugan 1.8 Capannikian 0.9 Mallig 3.4 Doña Loreta 1.8 Malubibit Norte 1.7 Emilia 0.8 Malubibit Sur 1.6 Imelda 0.8 Poblacion East 1.1 Lower Maton 3.3 Poblacion West 1.5 Lt. Bilag 4.3 San Jose 2.5 Lydia 3.4 Santa Maria 1.4 Malibang 4.2 Tamalunog 2.3 Mataguisi 3.6 Upper Atok (Coliman) 3.1 Poblacion 0.5 San Antonio (Pugo) 1.1 San Jose 2.3 KABUGAO Badduat 2.3 San Luis 1.2 Baliwanan 4.2 San Mariano 1.4 Bulu 3.9 Swan 1.4 Cabetayan 3.1 Upper Maton 2.4

The Many Faces of Poverty (Volume 6) 48 Table 6. CBMS Composite Indicator, by Barangay, Province of Apayao, 2014

Municipality B a ra n g a y CBMS Composite Indicator

SANTA MARCELA Barocboc 1.7 Consuelo 2.0 Emiliana 1.4 Imelda (Sipa Annex) 1.2 Malekkeg 2.1 Marcela (Pob.) 2.0 Nueva 1.2 Panay 2.4 San Antonio 1.6 San Carlos 1.4 San Juan 2.1 San Mariano 1.9 Sipa Proper 1.2

The Many Faces of Poverty (Volume 6) 49 The Many Faces of Poverty (Volume 6) 50