the official poverty monitoring system (pms) in the philippines relies mainly on family income and...

The Many Faces of

PovertyVolume 9

The Many Faces of Poverty: Volume 9Copyright © CBMS Network Office, 2018

ALL RIGHTS RESERVED.No part of this publication may be reproduced, stored in a retrievalsystem, 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 Publishing House for the CBMS Network Team

First printing, 2018

Published and distributed byDe La Salle University2401 Taft Avenue, Manila, Philippines 1004Tel. No: (632) 524-4611 loc. 271Telefax: (632) 523-4281Email: [email protected]: www.dlsu.edu.ph

The De La Salle University Publishing House is the publications officeof De La Salle University, Manila, Philippines

Printed in the Philippines

Pr ep a r ed b yCelia M. ReyesAnne Bernadette E. MandapJasminda A. QuilitisSteffie Joi I. CalubayanJezha Lee Z. NabiongNastasha Brigitte M. KuanCarmela A. PredoKristine T. Madreliño

Cover design © Ariel Manuel, 2018Photos used for the cover are entries from previous CBMS Special Awards events.

The CBMS Network Team would like to acknowledge the excellent technical assistance ofMs. Rachelle Gladys Audar for the preparation of this publication.

CONTENTS

Foreword

Introduction

Explanatory Text

The Many Faces of Poverty

Province of Aurora

Province of Occidental Mindoro

Province of Romblon

Province of Ifugao

i

Province of Tarlac

1

4

9

95

141

181

235

CONTENTS

Province of Camiguin55

FOREWORDThe 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 demographicand health surveys, national population and housing censuses, labor force survey, and others. However,these surveys and censuses are (i) too costly to be replicated frequently; (ii) conducted at different timeperiods, making it impossible to get a comprehensive profile of the different socio-demographic groups ofinterest at a specific point in time; and (iii) have sampling designs that do not usually correspond to thegeographical disaggregation needed by local government units (LGUs). In addition, the implementation ofthe decentralization policy, which devolves to LGUs the function of delivering basic services, creates greaterdemand for data at the local level.

The Community-Based Monitoring System (CBMS) seeks to address these gaps by providing data atthe local level appropriate for diagnosing the cause and extent of local poverty, formulating appropriatepolicies and programs, identifying eligible beneficiaries for targeted programs, and assessing the impact ofpolicies and programs. It also supports the decentralization process by capacitating the LGUs to collect,analyze, and use the data in local planning, budgeting, and program implementation to achieve the sustainabledevelopment goals (SDGs).

This ninth volume of statistical tables and poverty maps of provinces generated through the CBMSmethodology represents part of a series of publications resulting from the collaboration between the CBMSNetwork Office and its partner-LGUs. These partnerships have been in place for several years now, andpartner-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 comprehensivepicture of the different faces of poverty in different parts of the country. They will also aid in identifying themost pressing needs of the community, assist in prioritizing interventions to address these needs, andfacilitate the targeting of programs for those who need the assistance most.

This volume features the provinces of Aurora, Camiguin, Ifugao, Occidental Mindoro, Romblon, andTarlac. Since 2013, mobile technology is being used to fast-track the generation of CBMS results in orderto serve as timely inputs in local development planning and budgeting. The CBMS Accelerated PovertyProfiling (APP) is an organized , systematic, and efficient use of the latest information and communicationtechnology tools, and the standard CBMS instruments for data collection, processing, and poverty mappingand data management instruments. It was built to fast-track the generation of CBMS results in order toserve as timely inputs in local developement planning and budgeting.

The work leading to the publication of this book owes much to the unwavering support and commitmentof our partners both at the provincial and municipal levels. We have worked hand-in-hand with them inconsolidating databases and validating the survey findings. And now, with their consent, we are sharing theirdata to a wide range of CBMS stakeholders all over the country – indeed a glowing testament of theirdedication to make their development planning processes more efficient and effective! We are also gratefulto all our partner national government agencies, particularly the Department of Interior and Local Government,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 and inequality in the country.

i

The Many Faces of Poverty (Volume 9)

CELIA M. REYESCBMS Network Team Leader

FOREWORD

INTRODUCTIONConsidered 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 expenditureresponsibility and revenue authority of local government units.

Since then, the local government units (LGUs) have assumed a greater role in local governmentmanagement and service delivery. The devolution is substantial not only in the magnitude of responsibilitiesthat were shifted to LGUs but also in the amount of resources at their disposal to effectively discharge thedevolved functions. Today, LGUs have access to multiple revenue sources, chief of which is their share in thenational internal revenues—the Internal Revenue Allotment (IRA). For the period 2013-2017, the average IRAper year is P389.9 billion (see Table 1).

While experts agree that local governments are not awash with cash, the P1949.3 billion worth of IRAthat the LGUs have received over the 5-year period is certainly a big amount. This underscores the importanceof making sure that LGUs are equipped with the right tools, systems, and procedures to ensure the effective useof these public financial resources. One way to do this is by providing them access to comprehensivesocioeconomic 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, programimplementers, civil society, and others—are changing. Data disaggregated to correspond to the different levelsof government are needed by LGUs to adequately assess their local situation. Moreover, longitudinal data areneeded to track welfare changes over time. Household-level data are also needed to identify eligiblebeneficiaries of different programs.

In 2005, 14 years after the LGC enactment, the Asian Development Bank and the World Bank releaseda report highlighting statistical issues and concerns at the subnational level. It said: "The most comprehensiveand consistent comparative subnational data is at the regional level although this is simply an administrativelevel of government that has no responsibilities for delivery of social services. More data is gradually becomingavailable at the provincial level, but not at lower levels, which are at the frontline of efforts to reduce poverty.”1


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).

Table 1. Internal Revenue Allotment of LocalGovernment Units, 2013–2017

Year2017

2016

2015

2014

2013

TOTALAve. per yearSource: DBM

Amount(in P billion)

486.9

428.6

389.9

341.6

302.3

1,949.3389.9

INTRODUCTION

Local Poverty Monitoring System Rise up to the Challenge

Owing to still unresolved statistical issues and concerns at the subnational level, an increasing number of LGUsall over the country have taken the initiative to adopt and establish the Community-Based Monitoring System(CBMS). National government agencies have likewise recognized the value of CBMS as a cost-effective tool forvarious thematic concerns such as the Millenium Development Goals/Sustainable Development Goals, genderand development, Disaster Risk Reduction and Management (DRRM), and Climate Change Adaptation (CCA),Bottom-Up Budgeting (BUB), and migration and development, among others.

The CBMS (then known as MIMAP CBMS) was developed by Celia Reyes in 1993 to fill in the necessaryinformation for more evidence-based planning and program implementation and for monitoring the micro-level impacts of macro policies and shocks particularly on the most vulnerable groups of the population. CBMSis an organized process of collecting, processing, validating and use of data for various development concerns.It was designed as a system that can be used and sustained by LGUs over time and facilitates informationsharing at each geopolitical level for purposes of better policymaking and program implementation.

Since the early 2000, the implementation and use of CBMS has been supported by policy issuances at thelocal and national levels. Also, the inclusion of CBMS in the list of projects that can be funded through the BUBfunds is a recognition that CBMS is important in facilitating evidence-based decision-making.

Some of the policy issuances are as follows:o DILG Memorandum Circular 2001-105

Issued in August 2001, the circular enjoins all local chief executives to undertake local programs on povertyreduction and economic transformation and emphasized the need to designate Local Poverty ReductionAction Officers (LPRAOs) and to formulate a Local Poverty Reduction Action Plan (LPRAP).

o NAPC En Banc Resolution No. 7Issued in March 2003, the resolution directs LGUs to adopt the 13 core local poverty indicators as theminimum set of community-based information for poverty diagnosis and planning at the local levels andintegrate such information in their local poverty monitoring system and local level action plans and program.

o DILG Memorandum Circular 2003-92Issued in April 2003, it provides policy guidelines for the adoption of the 13 core local poverty indicators forplanning. The guidelines shall aid the LGUs in assessing and understanding poverty and its dimensions atthe barangays, municipalities, cities and provinces with the end view of formulating an LPRAP and implementingthe plans and programs to reduce poverty.

o DILG Memorandum Circular 2004-152Issued in November 2004, the circular encourages LGUs to intensify efforts in implementing programs,projects and activities towards the achievement of the millennium development goals (MDGs).

o NSCB Resolution No. 6, Series of 2005Issued in January 24, 2005, attests to the statistical and technical soundness of the CBMS, Furthermore, itrecognized the CBMS as a tool for strengthening the statistical system at the local level that will generatestatistics for monitoring and evaluation of local development plans, including the progress of the localgovernments in attaining the Millennium Development Goals (MDG). It also further resolved that the NSCBTechnical Staff initiate and coordinate an advocacy program for the adoption of the CBMS by the LGUs,through the RSCCs, the technical arm of the NSCB Executive Board in the regions.

o League of Municipalities of the Philippines (LMP) Memorandum Circular 027-2006Issued in June 2006, enjoining all CBMS-implementing municipalities to adopt/sustain the adoption of theCBMS as a tool for local poverty diagnosis and ensure the incorporation of the MDG targets and utilization ofCBMS data in the formulation of local development plans.

o SDC Resolution No. 3, Series of 2006Issued on July 19, 2006, the resolution adopts the CBMS as the prescribed monitoring tool for the generationof the Core Local Poverty Indicator Database. It further enjoined the NAPC, DILG, other government agenciesand LGUs to coordinate with the CBMS Network Coordinating Team towards the fast-tracking and fullimplementation of the CBMS.

2



3

o PhilHealth Board Resolution No. 982, S.2007In March 2007, the Philippine Health Insurance Corporation (PhilHealth) adopted the CBMS as the principalsource of data in identifying indigent families to be enrolled under the sponsorship program of the NationalHealth Insurance Program (NHIP). The Program is implemented in partnership with the local governmentunits (LGUs) and PhilHealth. The LGU and the National Government through PhilHealth share the annualpremium payment of P1,200 per indigent household to get enrolled.

o League of Provinces of the Philippines (LPP) Resolution No. 2011-01Issued in January 28, 2011, urging the Department of Social and Welfare Development (DSWD) and theDepartment of Health (DOH) to adopt the CBMS and other locally-developed poverty monitoring systems as itstargeting system in identifying beneficiaries to the Pantawid Pamilyang Pilipino Program (4Ps) and thePhilhealth Indigent Sponsored Program

o DBM-DILG-DSWD-NAPC Joint Memorandum Circular No. 1, Series of 2012Issued on March 8, 2012, the joint memorandum circular identifies the collection of relevant economic andsocial data such as those that can be obtained from CBMS, as one of the main components in empoweringpoor LGUs and in the bottom-up planning and budgeting approach.

o DILG Memorandum Circular 2012-73Issued on April 17, 2012, the circular provides that the Local Disaster Risk Reduction and Management Fundcan be utilized for disaster prevention and mitigation projects including the implementation of a CBMS withCCA/DRRM indicators.

o DILG Memorandum Circular 2012-142Issued in August 10, 2012, the circular enjoins all local chief executives to utilize the community-basedmonitoring system (CBMS) in planning and project development. It also recommends for the adoption ofCBMS to coincide with the synchronized local planning and budgeting calendar and with the bottom upplanning and budgeting preparation calendar.

As of February 15, 2018, CBMS is being implemented in 77 provinces (33 of which are implementing thesystem province-wide), 1,037 municipalities, and 93 cities, covering a total of 29,145 barangays. Data generatedby CBMS have so far been used in diagnosing the nature and extent of poverty in their localities, identifyingappropriate interventions, identifying eligible beneficiaries of poverty reduction programs, and assessing theimpact of some of these programs.

Parallel with efforts to establish databanks at each geopolitical level, a national repository of CBMS data hasalso been established at the CBMS Network Office, the Department of the Interior and Local Government(DILG) and the National Anti-Poverty Commission (NAPC). The national repository aims to facilitate data sharingacross 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 nationalentities in their advocacy work with key decision makers, (ii) support government and non-government agenciesin strengthening evidence-based planning and monitoring and in aligning their interventions to national priorities,and (iii) 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 theirown monitoring systems to make their development planning processes more efficient and effective. In thisscenario, 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 acomprehensive picture of the poverty situation. Very few, if any, national surveys collect information on thedifferent dimensions of poverty. There is a survey on income and expenditure, another on health, another oneducation, another on employment, another on nutrition, and others. As the samples and the reference periodsare different, there is no comprehensive picture of the poverty status of the population at any point in time. Thisis where CBMS can make a difference as it addresses these gaps through its set of core indicators relating tothe different dimensions of poverty.

4


EXPLANATORY TEXTA. 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 methodology.

The CBMS Core Indicators are a set of carefully selected indicators that capture the multiple dimensionsof poverty. They define the basic criteria for attaining a decent quality of life and correspond to theminimum basic needs covering (a) health, (b) nutrition, (c) housing, (d) water and sanitation, (e) basiceducation, (f) income, (g) employment, and (h) peace and order. Together, these indicators provideinformation 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 usedare presented in Table 2.

1 The Department of the Interior and Local Government (DILG) has issued Memorandum Circular 2003-92 (April 2003) to setpolicy 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 diagnosethe nature and extent of poverty in their respective localities. CBMS was adopted by the DILG as the data collection andprocessing system for the CLPIMS which was the tool adopted to monitor the MDGs for LGUs.

Box 1. Community-Based Monitoring System (CBMS)

The CBMS is an organized way of collecting ongoing or recurring information at the locallevel to be used by local governments, national government agencies, non-governmentorganization (NGOs), and civil society for planning, budgeting, and implementing localdevelopment programs, as well as for monitoring and evaluating their performance. It is a toolfor improved local governance and democratic decision-making that promotes greatertransparency and accountability in resource allocation.

It involves the following steps:

CBMS APP Track

Step 1 Advocacy/organization

Step 2 Data collection, GPS reading, and data transmission

Step 3 Data consolidation, database-building, and poverty mapping

Step 4 Data validation and community consultation

Step 5 Knowledge (database) management

Step 6 Plan formulation

Step 7 Dissemination, implementation, and monitoring

EXPLANATORY TEXT


5

Table 1. CBMS Core Indicators, Formula, and CBMS Composite Index Using Simple Scoring

A. Hea lth 1 Proportion of children under 5 years old who died

Total number of children aged 0 to less than 5 years old who died divided by the sum of (i) total number of children aged 0 to less than 5 years old, and (ii) the total number of child deaths 0 to less than 5 years old

One (1) if the household has a member under 5 years old who died; zero (0) otherwise.

2 Proportion of women who died due to pregnancy related causes

Total number of women who died due to pregnancy related causes divided by the sum of (i) the total number of children less than one year old, and (ii) total number of women who died due to pregnancy related causes

One (1) if the household has a female member who died due to pregnancy-related causes; zero (0) otherwise.

B. Nutrition 3 Proportion of children 0-5 years old who are malnourished

Total number of children aged 0-5 years old who are moderately or severely underweight over total number of children aged 0-5 years old

One (1) if the household has a member 0-5 years old who is malnourished; zero (0) otherwise.

C. Housing 4 Proportion of households living in makeshift housing

Total number of households living in housing with makeshift roof and/or walls over total number of households

One (1) if the household lives in makeshift housing; zero (0) otherwise.

5 Proportion of households who are informal settlers

Total number of households occupying house and/or lots without permission of owner over total number of households

One (1) if the household is an informal settler; zero (0) otherwise.

D. Water and Sanitation

6 Proportion of households without access to safe water source

Total number of households without access to safe water supply over total number of households

One (1) if the household does not have access to safe water supply; zero (0) otherwise.

7 Proportion of households without access to sanitary toilet facilities

Total number of households without access to water-sealed toilet or closed pit over total number of households

One (1) if the household does not have access to sanitary toilet facilities; zero (0) otherwise.

E. Education 8 Proportion of children 6-11 years old who are not attending elementary school

Total number of children 6-11 years old who are not attending elementary school over total number of children 6-11 years old

9 Proportion of children 12-15 years old who are not attending secondary school

Total number of children 12-15 years old who are not attending secondary school over total number of children 12-15 years old

8-9 Proportion of children 6-15 years old who are not attending school

Total number of children 6-15 years old who are not attending school over total number of children 6-15 years old

One (1) if the household has a member 6-15 years old not attending school; zero (0) otherwise.

F. Income 10 Proportion of households with income below the poverty threshold

Total number of households with income below the poverty threshold over total number of households

One (1) if the household has a per capita income below poverty threshold; zero (0) otherwise.

11 Proportion of households with income below the food threshold

Total number of households with income below the food (subsistence) threshold over total number of households

One (1) if the household has a per capita income below food threshold; zero (0) otherwise.

12 Proportion of households who experienced hunger due to food shortage

Total number of households who experienced food shortage over total number of households

One (1) if the household has experienced food shortage; zero (0) otherwise.

G. Employment 13 Proportion of persons in the labor force who are unemployed

Total number of persons aged 15 and above who are not working over total number of labor force*

One (1) if the household has unemployed member/s; zero (0) otherwise.

H. Peace and Order

14 Proportion of persons who are vict ims of crimes

Total number of persons who are victims of crimes over total population

One (1) if the household has victim/s of crime; zero (0) otherwise.

CBMS Composite Indicator

Average number of deprivations

Sum of deprivations of households over total number of households

Sum of the scores (number of deprivations) of the 13 indicators.

BASIC NEEDS CORE INDICATORS Computation/Formula Simple Scoring

6


B. CBMS Methodology

The CBMS is an organized system of collecting, processing, validating and use of information and is beingimplemented using structured instruments and training modules. One of the primary objectives of theCBMS is to generate data to diagnose the extent and causes of poverty, formulate appropriate plans andprograms,identify eligible beneficiaries and assess the impacts of policies and programs.

Data used in this report is a by-product of the CBMS implementation by the LGUs featured in this volume.In particular, primary data was generated using the CBMS Accelerated Poverty Profiling (APP)2 tools includingthe CBMS Scan and Portal (using android gadgets and ICT for data collection), the CBMS StatSim (dataprocessing) and Quantum GIS (QGIS)3 for poverty mapping.

Primary data collection is done through the conduct of a household census administered by trained localenumerators and field coordinators using the standard CBMS APP modules and instruments (householdprofile questionnaires and barangay profile questionnaires). Data from the census operations aretransmitted and stored in a CBMS Portal and are likewise established at the databanks at the LGU-level.

Table 2. Poverty and Food Thresholds

2 See CBMS APP details from the CBMS Network website at https://www.pep-net.org/cbms-network-launches-cbms-app

3 Since 2013, the CBMS Mapping System under the CBMS PAPER and CBMS APP Tracks uses Quantum GIS (QGIS)

PROVINCE Reference Year Poverty Threshold Food Threshold

AURORA201520162017

21,61922,31623,086

20,45821,11821,846

15,09715,58716,124

14,28614,75015,258

IFUGAO20152016

22,47524,154

21,64623,267

15,69816,870

15,11816,251

OCCIDENTAL MINDORO

2014201520162017

20,17020,76121,27621,607

19,16519,73120,22020,535

14,08814,49714,86015,091

13,38613,77814,12314,343

ROMBLON20152016

22,73623,299

21,60122,137

15,87616,274

15,08415,462

TARLAC

20142015

21,25323,990

20,18722,786

14,84416,752

14,10015,911

Urban Rural Urban Rural

201420152016

21,15222,49422,661

20,28321,55021,711

14,77415,70715,828

14,16615,04815,164

CAMIGUIN

20162017

24,76325,617

23,52024,331

17,29617,892

16,42716,994


7

C. Statistical Clearance for the CBMS CensusIn 2005, the Philippine Statisical Authority (formerly National Statistical Coordination Board) has issuedResolution No. 6, which recognizes and enjoins support to the CBMS as a tool for strengthening thestatistical system at the local level. It also directs the PSA Technical Staff to initiate and coordinate anadvocacy program for the adoption of the CBMS by the LGUs, through the Regional Statistical CoordinationCommittees (RSCCs), the technical arm of the Executive Board in the regions. The PSA has also approvedthe 2015 CBMS Questionnaire (PSA Approval No.DILG1540-01 and DILG-1540-02).

D. CBMS Census Operations

All census operations were undertaken under the supervision of the CBMS Technical Working Groups(TWGs) at the local levels. They identified the local personnel who were trained as enumerators and fieldcoordinators. Technical assistance was provided by the CBMS Network Office and the Department of theInterior and Local Government (DILG).

Training is mainly conducted at two levels. The first level training (Training of Trainors) is conducted formembers of the TWGs. This is conducted by a pool of CBMS Trainers from the DILG. Meanwhile, a secondlevel training (Training of Enumerators) is conducted for enumerators--usually composed of barangayhealth workers and students. Members of the TWG act as trainors in this training.

E. Data Processing System

The CBMS Statistics Simulator (CBMS StatSim) was developed by the CBMS Network Office to process thedata from the CBMS census. It is designed to automatically compute and generate tables containing the13+1 core indicators of poverty, the MDG indicators, and DRRM-related indicators, among others.

Poverty maps are generated using the Quantum GIS (QGIS). QGIS is capable of creating and storing spatial(shapefiles) and non-spatial (texts and numbers) data as well as generating maps, reports and graphsideal for presentation and analysis of poverty attributes in the community. This has significantly addressedthe need for a simple yet powerful and free geographically-oriented database.

These systems can be accessed and are being provided by the CBMS Network for free to CBMS APP-implementing LGUs in the country.

E. CBMS Poverty Maps

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

A simple color scheme is used for the poverty maps. Green, light green, pink, and red represent the fourranges of data for each indicator. Shades of green indicate performance better than the provincial averagewhile shades of red indicate performance worse than the provincial average. Dark green represents bestperformance, while red represents the worst performance. Each indicator, however, used a different rangerelative to the provincial data.

8


Table 3. Dimensions of Poverty

Dimension

If household has at least one child under 5years old who died, then the household isconsidered health poor

If household has at least one child 0-5 yearsold who are malnourished, then thehousehold is considered nutrition poor

If household is living in makeshifthousing, then the household isconsidered housing poor

If household is an informal settler, then thehousehold is considered tenure poor

If household has no access to safe watersupply, then the household is consideredwater poor

If household has no access to sanitary toiletfacilities, then the household is consideredsanitation poor

If household has at least one child 6-15 yearsold who is not attending school, then thehousehold is considered education poor

If the per capita income of the household isbelow the food threshold, then thehousehold is considered income poor

If household has at least one unemployedmember, then the household isconsidered job poor

If household has at least one member whohas been a victim of crime, then thehousehold is considered security poor

Indicator Poverty Status

Proportion of children under 5 yearsold who died

Proportion of children 0-5 years oldwho are malnourished

Proportion of households living inmakeshift housing

Proportion of households who areinformal settlers

Proportion of households withoutaccess to safe water supply

Proportion of households withoutaccess to sanitary toilet facilities

Proportion of children 6-15 years oldwho are not attending school

Proportion of households withincome below the food threshold

Proportion of persons in the laborforce who are unemployed

Proportion of persons who arevictims of crime

Health

Nutrition

Housing

Tenure

Water

Sanitation

Education

Income

Job

Security

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

There were some municipalities who did not conduct the CBMS census at the same period as the othermunicipalities in the province. In both Occidental Mindoro and Romblon, two municipalities were notcovered. In the case of Tarlac, one city was not covered.

Some of the data that were collected were not included pending validation at the barangay levels. Inparticular, data for 2 of the 11 municipalities were not included in the database of the Province of OccidentalMindoro and data for 5 of the 434 barangays were not included in the Province of Tarlac.


9

Republic of the PhilippinesProvince of AURORA

Message

GERARDO NOVERAS Governor

My warmest salutations to the CBMS Network Office for publishing the 9thvolume of “The Many Faces of Poverty”.

Indeed, this publication will be an extremely beneficial tool for localgovernments and development planners in gauging the most pressing needs ofthe Filipino people in the periphery, and thus enabling the formulation of socio-economic programs that genuinely respond to their pressing needs.

I sincerely commend the members of the CBMS Network Office for theirtireless efforts and unwavering commitment to serve as a catalyst for sustainabledevelopment in the Philippine countryside, especially in the Province of Aurora.

Mabuhay po kayo!

MAYORS OF AURORA

HON. NELIANTO BIHASA(Municipality of Baler)

HON. RICARDO BITONG(Municipality of Casiguran)

HON. JOE GOROSPE(Municipality of Dilasag)

HON. MANUEL TORRES(Municipality of Dinalungan)

HON. SHERWIN TAAY(Municipality of Dingalan)

HON. JOANNA WILMA SALAMANCA(Municipality of Dipaculao)

HON. AMADO GENETA(Municipality of Maria Aurora)

HON. MARIANO TANGSON(Municipality of San Luis)

MAYORS OF AURORA

12


The Many Faces of Poverty in theProvince of Aurora

Aurora had a total population of 180,716 covering 43,811 householdsThe CBMS census conducted from 2016 to 2017 covered 8 municipalities in the province, namely, Baler, Casiguran,Dilasag, Dinalungan, Dingalan, Dipaculao, Maria Aurora, and San Luis, with 151 barangays. Of the 180,716 locals, 51.1percent are male, while 48.9 percent are female. The Municipality of Maria Aurora has the largest population with35,185 members (or 19.5%) in 8,028 households, followed by Baler with 34,707 members (or 19.2%) in 7,950households. Meanwhile, Barangay Dikapanikian in Dingalan has the largest population size across all the barangayswith 392 individuals in 75 households.

HEALTH AND NUTRITIONThree in every 1000 children under five years old diedAbout 0.3 percent of children under five years old died duringthe reference period. This is equivalent to 62 child deaths inthe province. An equal proportion of child deaths (0.3%)between boys and girls was observed in the province of Aurora.The highest proportion of child deaths was reported in themunicipalities of Baler (26 cases) and Dingalan (18 cases),where 0.7 percent of children under five years old died. Baleralso ranked first in terms of magnitude. Among all 148barangays, Barangay Dicabasan in Dilasag registered thehighest proportion of child deaths at 2.6 percent. This wasfollowed by Barangay Mijares in Dipaculao at 2 percent, andboth Barangay Pingit in Baler and Barangay Lawang in Dilasagat 1.9 percent.

The 2016-2017 CBMS Census covers 8 municipalities in the Province of Aurora, namely, Baler, Casiguran, Dilasag, Dinalungan,Dingalan, Dipaculao, Maria Aurora, and San Luis.

POPULATION


13

One in every 1000 pregnant women died due to pregnancy-related causesAccording to the results of the CBMS census, 0.1 percent of pregnant women aged 15-49 in the Province of Aurora dieddue to pregnancy-related causes during the reference period. Two cases of maternal death were reported in Aurora, oneof which was in Barangay Nipoo in Dinalungan and the other one was in Barangay Umiray in Dingalan.

Around 3 in every 100 children zero to five years old weremalnourishedAround 3.1 percent or 757 children zero to five years old wereclassified as moderately or severely underweight in the Provinceof Aurora. In particular, 362 boys and 395 girls zero to fiveyears old were considered malnourished. Malnutritionprevalence among girls at 3.4 percent was higher than boys at2.9 percent. The highest prevalence of malnutrition wasobserved in Dingalan at 9.5 percent, followed by Dinalunganat 5 percent. Barangay Umiray reported the highest proportionof malnourished children at 17.9 percent or 107 cases,followed by Barangay Dikapanikian at 17 percent, andBarangay Paltic at 14.1 percent, all of which are found in themunicipality of Dingalan.

HOUSINGAbout 2 percent of households were living in makeshift housing while 3.3 percent were informal settlersThe 2016-2017 CBMS data showed that 2 in every 100 households in the province were living in makeshift housing.First in terms of proportion was the municipality of Dingalan, with about 3.8 percent or 201 households living inmakeshift housing. Second was Casiguran at 3.5 percent or 185 households, while third was Dipaculao at 3 percent or168 households. At the barangay level, Barangay Dimabuno in Dipaculao had the highest proportion of householdsliving in makeshift housing at 32.5 percent or 78 households. This was followed by Barangay Umiray in Dingalan at 12.1percent, which accounts for 119 households, the highest number of households with makeshift housing.

In terms of tenure status, 1,456 households or 3 in every 100 households in the province were considered informalsettlers. The highest proportion of informal settlers, as well as highest number of informal settlers overall, was observedin the Municipality of Dilasag at 10.1 percent with 363 cases. This was followed by the municipality of Dingalan at 5.7percent with 301 cases. At the barangay level, the highest proportion of informal settlers, as well as highest number ofinformal settlers overall, was observed in Barangay Masagana at 37.2 percent, accounting for 188 households in thesaid barangay. Meanwhile, the second highest in terms of proportion was Barangay Diniog at 16.8 percent, accountingfor 87 households in the said barangay. Both of which are found in the municipality of Dilasag.

14


WATER AND SANITATIONAbout 12.7 percent of the households do not have access to safe water supply and about 7 percent do not have accessto sanitary toilet facilitiesBased on the results of the CBMS census, 13 in every 100 households in Aurora had no access to safe water supply. TheMunicipality of Dingalan had the worst condition in terms of water accessibility as 12.7 percent of its households werereported to have no access to safe water supply during the reference period. This was followed by Maria Aurora with15.7 percent, and San Luis with 14.4 percent. In terms of magnitude, the Municipality of Maria Aurora ranked first with1,430 cases. The top two barangays in terms of proportion of households with no access to safe water supply wereBarangay Galintuja and Barangay Villa Aurora, at 93.3 percent and 91.3 percent, respectively. Both barangays are inMaria Aurora. Of the 151 barangays, 17 can be considered “waterless”1.

On the other hand, 7 percent of the households do not have access to sanitary toilet facilities. This means that around7 in every 100 households in the province lacked access to sanitary toilet facilities. The Municipality of Dingalanreported the highest proportion of sanitation poor households at 21.3 percent or 1,126 households, followed byDipaculao at 13.5 percent or 760 households. Meanwhile, at the barangay level, the highest proportion of sanitationpoor households was observed in Barangay Dimabuno in Dipaculao at 87.9 percent or 211 cases, followed by BarangayPuangi in Dipaculao at 85 percent or 221 cases.

1 “Waterless” barangays refer to barangays with less than 50 percent safe water supply coverage, as defined by the SALINTUBIG Programof the Department of Health (DOH).


15

BASIC EDUCATIONAbout 3 in every 100 children 6 to 15 years old were notattending schoolThe proportion of out-of-school children 6-15 years old was2.8 percent. Regardless of education level, 3 in every 100children 6-15 years old were not attending school. Further,results revealed that 7.6 percent of children 6-11 years oldwere not attending elementary school, while 26 percent ofchildren 12-15 years old were not attending high school.Results also showed that the proportion of out-of-schoolchildren among boys (3.7%) was higher compared to girls (2%).Out of 8 municipalities, Dingalan had the highest proportion ofout-of-school children 6-5 years old at 4.8 percent. Dilasagwas second highest at 3.5 percent, followed by San Luis at 3percent. Meanwhile, in terms magnitude, Dingalan had thehighest number of out-of school children 6-15 years old, with263 cases observed.

INCOME AND LIVELIHOODAbout 53 in every 100 households were living below thepoverty thresholdMore than half or 53 percent of the households in theprovince were considered income poor, which means thataround 53 in every 100 households have no sufficientincome to satisfy their basic food and non-food needs. Outof 8 municipalities, only Baler and Maria Aurora reportedan income poverty rate below 50 percent, at 32.9 and 39.6,respectively. San Luis had the highest proportion ofhouseholds living below poverty threshold at 68.4 percent,followed closely by Casiguran at 67.7 percent. Across allbarangays in the province, the highest proportion of incomepoor households was observed in Barangay Ditinagyan inCasiguran at 97.6 percent, followed by Barangay Dibut inSan Luis at 93.8 percent.

Around 38 in every 100 households had no sufficientincome to satisfy their food needsAccording to the CBMS data, 38 percent of the householdsin Aurora were living below the food threshold. Subsistenceincidence was most prevalent in Casiguran where 56.8percent of the households were food poor. With 2,977cases, Casiguran also had the highest number of foodpoor households. In particular, Barangay Ditinagyan inCasiguran recorded the highest incidence of subsistencewhere 113 or 91.1 percent of the households were livingbelow the food threshold, closely followed by BarangayDibut at 89.3 percent.

16


Around 1 percent of households experienced hunger dueto food shortageOne in every 100 households or 1.3 percent of thehouseholds in the province suffered from hunger duringthe three-month period before the census. Hunger dueto food shortage was most prevalent in the municipalityof Dingalan at 4.8 percent or 254 cases. Next to Dingalanwas Baler at 2.2 percent or 186 cases. Across all thebarangays, the highest proportion of households thatexperienced hunger due to food shortage was observedin Barangay Obligacion at 17.8 percent, followed byBarangay Umiray in Dingalan at 13.2 percent, andBarangay Diteki at 13 percent.

Unemployment rate in the province was recorded at 6.2 percentAbout 6.2 percent or 3,822 individuals of the 61,277 membersof the labor force aged 15 and above were reported to beunemployed. It appears that the unemployment rate was higheramong females at 8.2 percent than among males at 5.4 percent.Unemployment was most prevalent in Dilasag where 18.6 percentor 919 members of the labor force were unemployed during thereference period. This was followed by Dingalan at 7.6 percent or602 cases, and Dipaculao at 7 percent or 568 cases. Across allbarangays, Barangay Esperanza in Dilasag recorded the highestunemployment rate at 41.3 percent, followed by BarangayDitinagyan in Casiguran at 28.2 percent, and Barangay Calabganin Casiguran at 26.3 percent.

PEACE AND ORDERAround 0.1 percent of the population were victims of crimeA total of 113 individuals in the Province of Aurora were reported to be victims of crime. Dingalan reported the highestnumber of crime victims with 43 cases, followed by Baler with 38 cases. At the barangay level, Barangay V in Balerrecorded the highest proportion of crime victims with 1.3 percent or 23 cases. This was followed by Umiray with 0.5percent or 23 cases, and Dicabasan with 0.5 percent or 3 cases.

CBMS COMPOSITE INDEXHouseholds in the Province of Aurora suffered from one deprivation2 on the averageThe Province of Aurora recorded a CBMS composite index (CCI) of 1.3, which means that households in the provincewere not able to meet the 13 basic needs and suffered from one deprivation, on the average. In particular, householdsin Dingalan were not able to meet 2 of the 13 basic needs, on the average. On the other hand, households in BarangayDimabuno in Dipaculao, on the average, had the highest incidence of deprivation with 3 unmet needs. This was followedby Barangay Dibalo and Barangay Dimanayat, both in San Luis, with 3 unmet needs, on the average.

2 The deprivations are based on the 13+1 indicators: (1) children under 5 years old who died; 2) women who died due to pregnancy-related causes; (3) malnourished children 0-5 years old; (4) households living in makeshift housing ; 5) households who are informalsettlers; (6) households without access to safe water supply; (7) households without access to sanitary toilet facilities; (8) children 6-15years old not in school; (9) households with income below the poverty threshold; (10) households with income below the food threshold;(11) households that experienced food shortage; (12) unemployment; and (13) victims of crime. A high er index would mean moredeprivation and hence, worse condition for the households.


17

DIMENSIONS OF POVERTY3

Based on the CBMS data, around 46.3 percent of all households are non-poorwhile 53.7 percent of households were poor in at least one dimension. Inparticular, about 36.8 percent or 16,135 households in the province werepoor in one deprivation, while 13.3 percent or 5,846 households were poor intwo deprivations. Meanwhile, 3 percent or 1,292 households were poor inthree dimensions.

DIMENSIONS OF POVERTY IN AURORA

Number ofDimensions

Proportion ofHouseholds

Total 53.7

1234567

36.813.33.00.50.10.00.0

3 From the 13+1 CBMS core indicators, one indicator is selected to determine whether a household is poor in a particular dimension: 1)children aged under 5 years old who died for health, 2) malnourished children 0-5 years old for nutr ition, 3) households living inmakeshift houses for housing, 4) households who are informal settlers for tenure, 5) households without access to safe water supply forwater, 6) households without access to sanitary toilet facilities for sanitation, 7) children aged 6-15 years not in school for education, 8)households with income below the food threshold for income, 9) unemployment for job, and 10) victims of crime for security.

0.3 3.1

2.03.3

12.77.0

2.838.0

6.2 0.10.0

10.0

20.0

30.0

40.0

50.0

60.0Health Poor

Nutrition Poor

Housing Poor

Tenure Poor

Water Poor

SanitationPoor

Education Poor

Income Poor

Job Poor

Security Poor

18



19

The Many Faces of Poverty inthe Province of Aurora

INDICATOR

DEMOGRAPHYPopulationAverage household sizeChildren under 1 year oldChildren under 5 years oldChildren 0-5 years oldChildren 6-11 years oldMembers 12-15 years oldMembers 6-15 years oldMembers 10 years old and aboveMembers of the labor force

HEALTH AND NUTRITIONChildren under 5 years old who diedWomen who died due to pregnancy related-causesMalnourished children 0-5 years old

HOUSINGHouseholds living in makeshift housingHouseholds who are informal settlers

WATER AND SANITATIONHouseholds without access to safe water supplyHouseholds without access to sanitary toilet facilities

BASIC EDUCATIONChildren 6-11 years old not attending elementary schoolChildren 12-15 years old not attending high schoolChildren 6-15 years old not attending school

INCOME AND LIVELIHOODHouseholds with income below the poverty thresholdHouseholds with income below the food thresholdHouseholds who experienced hunger due to food shortageUnemployment rate (15 years old and above)

PEACE AND ORDERVictims of crime

Magnitude

43,8114

868 1,456

5,556 3,077

23,229 16,666

552

Proportion

2.03.3

12.77.0

53.038.0

1.3

Households Population

CBMS Core Indicators, Province of Aurora, 2016-2017

ProportionMagnitude

3,632 19,920 24,110 25,431 16,212 41,643

139,430 61,277

180,716

62 2

757

1,938 4,222 1,182

7.6262.8

113 0.1

0.30.13.1

3,822 6.2

CBMS Composite Indicator, Province of Aurora, 2016-2017

CBMS Composite IndicatorAverage

1.3

20


CBMS Core Indicators, by Municipality, Province of Aurora, 2016-2017

Number ofchildren

(6-11 yearsold)

Children not attendingelementary school

(6-11 years old)

Children not attending highschool

(12-15 years old)

Number ofchildren(12-15

years old)

Number ofchildren

(6-15 yearsold)

Children not attendingschool

(6-15 years old)

Municipality

ProportionProportionProportion MagnitudeMagnitudeMagnitude

Households living inmakeshift housing

Households who areinformal settlers

Households without access tosafe water supply

Households without access tosanitary toilet facilities

Municipality

ProportionProportion ProportionProportion MagnitudeMagnitudeMagnitudeMagnitude

BALERCASIGURANDILASAGDINALUNGANDINGALANDIPACULAOMARIA AURORASAN LUIS

1061858233

2011685142

1.33.52.31.33.83.00.61.0

12015936311030186

114203

59425195

71,126760234271

0.78.15.40.3

21.313.52.66.7

1.43.0

10.14.35.71.51.25.0

1,086534173228928591

1,430586

13.110.24.88.917.610.515.714.4

Municipality Totalhouseholds

Number ofchildren (0-5

years old)

Malnourishedchildren

(0-5 years old)

Children under 5years old who died

Numberof children

under 1year old

Women deathsdue to pregnancy-

related causes

Totalpopulation

ProportionProportion Proportion MagnitudeMagnitudeMagnitude

Number ofchildrenunder 5

years old


8,309 5,237 3,605 2,568 5,285 5,6109,1354,062

34,70721,26413,89110,84423,02823,64335,15818,181

3,7552,3331,6681,2552,6702,5163,6452,078

4,4992,8292,0461,5313,2043,0804,4172,504

76141976

30313212116

1.70.50.95.09.54.32.70.6

26142

18443

0.60.00.20.10.60.10.10.1

744410289241499380637432

00011000

000

0.40.2000


4,6773,0052,1481,5043,2643,4304,8792,524

373268176129245251330166

8.08.98.28.67.57.36.86.6

4,0292,6361,8271,2282,7922,8783,9572,178

15313312368

263153166123

2.02.63.52.74.82.82.13.0

3,1262,0461,322989

2,1692,1112,8461,603

691607348244781537577437

22.129.726.324.736.025.420.327.3

Households with income below the povertythreshold

Households with income below the foodthreshold

Households who experienced hunger duefood shortage

Municipality

Proportion Proportion ProportionMagnitudeMagnitudeMagnitude

Unemployment rate(15 years old and above)

Persons who are victimsof crimes

Number of persons in thelabor force

(15 years old and above)

Municipality CBMSCompositeIndicatorProportionProportionMagnitude Magnitude


2,7323,5462,3371,5113,5293,1763,6202,778

32.967.764.858.866.856.639.668.4

1864724

2543

1541

2.20.90.10.24.80.10.21.0

1,6812,9771,7891,1172,6932,0302,1712,208

20.256.849.643.551.036.223.854.4


12,1286,9324,9453,9407,9198,107

11,5355,771

21150791969

602568554392

0.10.00.00

0.20.00.00.0

0.81.61.61.21.91.40.91.6

1.77.3

18.61.87.67.04.86.8

38730

431048

CBMS Poverty Maps: Province of Aurora


21


Map 1. Proportion of Children under 5 Years Old who Died,by Municipality, 2016-2017

Map 2. Proportion of Children under 5 Years Old who Died,by Barangay, 2016-2017

Barangay Magnitude ProportionMunicipality

Bottom 10 Barangays

DILASAGDIPACULAOBALERDILASAGDIPACULAOBALERDINGALANDINALUNGANBALERDINGALAN

DicabasanMijaresPingitLawangMucdolObligacionIbonaDibaraybayCalabuananUmiray (Malamig)

2 2

13 1 2 2 6 2 6 6

2.62.01.91.91.61.41.41.31.21.1

Municipality ProportionMagnitude

BALERDINGALANDILASAGDINALUNGANDIPACULAOMARIA AURORASAN LUISCASIGURAN

26 18 4 2 4 4 3 1

0.6 0.6 0.2 0.1 0.1 0.1 0.1 0.0

22


Map 4. Proportion of Women who Died Due to Pregnancy-Related Causes,by Barangay, 2016-2017

Map 3. Proportion of Women who Died Due to Pregnancy-Related Causes,by Municipality, 2016-2017


Barangay Magnitude ProportionMunicipalityBottom 2 Barangays

DINALUNGANDINGALAN

Nipoo (Bulo)Umiray (Malamig)

1 1

4.0 1.0


DINALUNGANDINGALANBALERDILASAGDIPACULAOMARIA AURORASAN LUISCASIGURAN

1 1 0 0 0 0 0 0

0.4 0.2 0 0 0 0 0 0


23


Map 5. Proportion of Children 0-5 Years Old who are Malnourished,by Municipality, 2016-2017

Map 6. Proportion of Children 0-5 Years Old who are Malnourished,by Barangay, 2016-2017


Bottom 10 Barangays

DINGALANDINGALANDINGALANDINALUNGANMARIA AURORADIPACULAODINGALANDIPACULAODINGALANDINGALAN

Umiray (Malamig)DikapanikianPalticNipoo (Bulo)DebucaoDianedCaragsacanBayabasButas Na BatoTanawan

107 9

87 17 20 12 34 5

13 8

17.917.014.112.111.411.411.310.910.710.4


DINGALANDINALUNGANDIPACULAOMARIA AURORABALERDILASAGSAN LUISCASIGURAN

303 76

132 121 76 19 16 14

9.5 5.0 4.3 2.7 1.7 0.9 0.6 0.5

24


Table 1. Health and Nutrition Indicators, by Barangay, Province of Aurora, 2016-2017

BALER Barangay I (Pob.)Barangay II (Pob.)Barangay III (Pob.)Barangay IV (Pob.)Barangay V (Pob.)BuhanginCalabuananObligacionPingitReservaSabangSuclayinZabali

CASIGURAN Barangay 1 (Pob.)Barangay 2 (Pob.)Barangay 3 (Pob.)Barangay 4 (Pob.)Barangay 5 (Pob.)Barangay 6 (Pob.)Barangay 7 (Pob.)Barangay 8 (Pob.)BianuanCalabganCalangcuasanCalantasCozoCulatDibacongDibetDitinagyanEsperanzaEstevesLualMarikitSan IldefonsoTabasTinib

41222424

202526576167793559535544486

00002119

29171511

0000

1.00.20.25.43.73.02.80.20.2

32181717

168432480139668481445451407

00000062130014

000000

1.21.41.900

0.21.0

7633

40818325141101818984

0000000000000

0000000000000

77501515231

2732

38029861761671242261074268

15316581

11111167

98631817291

344247539

1082141981522611275481

18620593

12712681

130000101000000000030050

1.04.80000

2.90

0.20000000000

1.500

4.00

000000000000000000010000

0000000000000000000

0.60000

188644046714

153231163914111127191227247

000000000000000000000000

000000000000000000000000

Municipality Barangay Number ofchildren

(0-5years old)


(0-5 years old)

Proportion

Children under 5years oldwho died

Number ofchildrenunder 1year old

Women deaths due topregnancy-related

causes

Magnitude Magnitude Proportion Magnitude Proportion

Number ofchildrenunder 5years old

DILASAG DiagyanDicabasanDilaguidiDimasesetDiniogEsperanzaLawangMaligaya (Pob.)ManggitahanMasagana (Pob.)Ura

2697693

13827912553

19317721946

32590

10916535116465

24021226956

90016200001

2.800

0.61.71.20000

1.8

12000010000

0.42.60000

1.90000

5210192741168

3435443

00000000000

00000000000

DINALUNGAN AbulegDibaraybayDitawiniMapaladNipoo (Bulo)PalegSimbahanZone I (Pob.)Zone II (Pob.)

1441577898

115143187182151

17819697

124140164229213190

155531787

115

8.42.65.22.4

12.14.93.15.22.6

020000000

01.30000000

213518252418423622

000010000

0000

4.00000


25


DINGALAN AplayaButas Na BatoCabog (Matawe)CaragsacanDavildavilanDikapanikianIbonaPalticPoblacionTanawanUmiray (Malamig)

2601214713019853

5256178277

599

22134

3459

108748

107

8.510.70.8

11.35.117.01.9

14.14.9

10.417.9

21910538425082444225127462516

10410060006

0.50

1.00.400

1.4000

1.1

4718764719680947897

00000000001

0000000000

1.0


(0-5years old)


(0-5 years old)

Proportion




causes



years old

DIPACULAO BayabasBorlonganBuenavistaCalaocanDiamanenDianedDiarabasinDibutunanDimabunoDinadiawanDitaleGupaIpilLaboyLipitLobbotMaligayaMijaresMucdolNorth PoblacionPuangiSalaySapangkawayanSouth PoblacionToytoyan

3826570595192

12394

103247121489436

1114850

10012517210412844

11578

46329857063105152113133296151551144513955621271442221341545913889

525312

12580322913225

131103465

10.97.63.51.43.2

11.43.37.10

1.01.33.67.92.22.23.63.23.99.05.00

1.96.84.35.6

0000000000000000022000000

000000000000000002

1.6000000

6471064

1628131232119

115

2376

14172714239

1317

0000000000000000000000000

0000000000000000000000000

MARIA AURORA AlcalaBagtuBangcoBannawagBarangay I (Pob.)Barangay II (Pob.)Barangay III (Pob.)Barangay IV (Pob.)BauboBayanihanBazalCabituculan EastCabituculan WestCadayacanDebucaoDecoliatDetailenDiaatDialatmanDiamanDianawanDikilditDimanpudsoDiomeEstoniloFlorida

3873845993

16761

15981

1031355655

1571515575

1382717

115124679576

133

4985997211220376

196931271647970175176659416932211461458611490166

02341314047017

20034112

132116

02.43.05.60.91.51.32.00

3.14.30

1.44.0

11.40

3.22.43.14.81.49.02.30.91.13.6

00000001000000100000000000

0000000

0.6000000

0.700000000000

814139

142710261816218

1123329

293454

132410211228

00000000000000000000000000

00000000000000000000000000

26


SAN LUIS BacongBarangay I (Pob.)Barangay II (Pob.)Barangay III (Pob.)Barangay IV (Pob.)DibaloDibayabayDibutDikapinisanDimanayatDitekiDitumaboL. PimentelNonong SeniorRealSan IsidroSan JoseZarah

1591526298111

11067

16812916824081

21810721056

203

188173137

10012

1437821714919628810026712624769

239

101010001031220103

0.50

3.20

1.0000

0.50

1.50.32

0.70

0.40

1.3

100000000001000100

0.60000000000

0.4000

0.500

36485

222

151736184053154723398

44

000000000000000000

000000000000000000



(0-5years old)


(0-5 years old)

Proportion




causes



MARIA AURORA GalintujaMalasinPongloQuirinoRamadaSan JoaquinSan JoseSan JuanSan LeonardoSanta LuciaSanto TomasSuguitVilla AuroraWenceslao

605957179105981471074459625394

127

69736821613612317112353737462111161

20321325016023

2.90

4.40.90.72.41.24.10

1.48.10

1.81.9

00000010000001

000000

0.7000000

0.8

5111230195

211879

129

2020

00000000000000

00000000000000


27


Map 7. Proportion of Households Living in Makeshift Housing,by Municipality, 2016-2017

Map 8. Proportion of Households Living in Makeshift Housing,by Barangay, 2016-2017


Bottom 10 Barangays

DIPACULAODINGALANCASIGURANDIPACULAODINGALANCASIGURANCASIGURANDINGALANCASIGURANDILASAG

DimabunoUmiray (Malamig)MarikitPuangiButas Na BatoBianuanCalangcuasanAplayaSan IldefonsoEsperanza

78 119 15 25 17 66 16 27 13 19

32.512.111.09.69.07.46.96.66.46.3


DINGALANCASIGURANDIPACULAODILASAGBALERDINALUNGANSAN LUISMARIA AURORA

201 185 168 82

106 33 42 51

3.8 3.5 3.0 2.3 1.3 1.3 1.0 0.6

28


Map 10. Proportion of Households who are Informal Settlers,by Barangay, 2016-2017

Map 9. Proportion of Households who are Informal Settlers,by Municipality, 2016-2017



DILASAGDILASAGDINGALANCASIGURANSAN LUISSAN LUISDINALUNGANDIPACULAOSAN LUISDINGALAN

Masagana (Pob.)DiniogPalticBarangay 2 (Pob.)DitekiSan IsidroZone I (Pob.)BuenavistaRealButas Na Bato

188 87

153 18 39 46 45 13 18 18

37.216.816.114.113.712.111.210.89.69.5


DILASAGDINGALANSAN LUISDINALUNGANCASIGURANDIPACULAOBALERMARIA AURORA

363 301 203 110 159 86

120 114

10.1 5.7 5.0 4.3 3.0 1.5 1.4 1.2


29


Map 11. Proportion of Households without Access to Safe Water Supply,by Municipality, 2016-2017

Map 12. Proportion of Households without Access to Safe Water Supply,by Barangay, 2016-2017


Bottom 10 Barangays

MARIA AURORAMARIA AURORADILASAGMARIA AURORADIPACULAODINGALANMARIA AURORAMARIA AURORABALERMARIA AURORA

GalintujaVilla AuroraLawangPongloIpilTanawanBagtuDiamanObligacionAlcala

140 126 95 66

181 109 123 30

195 98

93.391.377.975.973.673.272.471.469.468.5


DINGALANMARIA AURORASAN LUISBALERDIPACULAOCASIGURANDINALUNGANDILASAG

928 1,430

586 1,086

591 534 228 173

17.6 15.7 14.4 13.1 10.5 10.2 8.9 4.8

30


Map 14. Proportion of Households without Access to Sanitary Toilet Facilities,by Barangay, 2016-2017

Map 13. Proportion of Households without Access to Sanitary Toilet Facilities,by Municipality, 2016-2017



DIPACULAODIPACULAODINGALANDIPACULAOCASIGURANCASIGURANDINGALANDINGALANDIPACULAOCASIGURAN

DimabunoPuangiUmiray (Malamig)DitaleSan IldefonsoCozoIbonaCabog (Matawe)DiarabasinCulat

211 221 364 94 66

112 250 202 93 45

87.985.037.134.432.731.731.427.626.223.1


DINGALANDIPACULAOCASIGURANSAN LUISDILASAGMARIA AURORABALERDINALUNGAN

1,126 760 425 271 195 234 59 7

21.3 13.5 8.1 6.7 5.4 2.6 0.7 0.3


31

Table 2. Housing, Water and Sanitation Indicators, by Barangay, Province of Aurora, 2016-2017



Households without accessto safe water supply

Households without accessto sanitary toilet facilities

BarangayMunicipality

ProportionProportion Proportion ProportionMagnitude Magnitude Magnitude Magnitude

0014632

10271

4435

00

1.14.51.40.30.33.62.20.14.50.20.7

001057

332947466

00

1.10

1.20.64.20.70.74.60.40.50.8

105065

1444

1953121251903213

0.60

5.70

15.312.90.5

69.425.712.319.32.41.7

00001008

215

2040

0000

0.200

2.81.70.52.00.30

1502020374

5.00

1.50

1.00

0.81.71.0

6703167

4535

2.02.40

1.60.52.31.9

11.28.5

419502

12747015

1.36.5

36.51.0

62.31.51.90

3.6

100023100

0.3000

1.01.10.300

BALER




Barangay I (Pob.)Barangay II (Pob.)Barangay III (Pob.)Barangay IV (Pob.)Barangay V (Pob.)BuhanginCalabuananObligacionPingitReservaSabangSuclayinZabali

10102000

661

1611127501665

1513116

0.50

2.00

3.1000

7.40.86.92.83.43.61.10

0.84.71.91.411.06.46.13.6

818000063

6911671

11602

1000820

4.314.1

0000

7.12.67.80.80.41.52.00.52.42.80

1.63.200

4.01.10

100000024078917842550459

100050042

0.5000000

1.70.40

3.02.0

25.840.09.1

25.20

34.92.827.7

024.8

025.0

20000001

251

30231124515100

214030

660

31

1.1000000

0.92.80.8

13.05.9

31.723.13.34.60

16.312.60.80

32.70

18.5

6104

2719348

100

1.10.60

1.35.26.32.50.92.12.00

30656

8760

1025

1880

5.53.52.52.0

16.82.00

2.36.637.2

0

37202860951040

6.81.20

9.31.20

77.90.20

0.80

12154

16471818

24428

2.28.72.05.39.16.00.81.86.48.36.3

32










5218

202433

16250159

712

364

12.89.527.67.41.4

21.331.416.83.48.137.1

27170

13314467

119

6.69.00

2.21.41.30.50.42.94.7

12.1

34187

131215

15313441

8.49.51.02.25.61.30.616.16.32.74.2

27

36233903485990

109233

0.53.74.9

39.842.345.310.710.4

073.223.7


00503076

7813501000002

14254221

50

19389

931

21138940425435

224

2215112

5.30

15.82.4

11.06.1

26.20.787.97.4

34.40

1.62.62.34.02.22.17.60.9851.41.00.32.0

00

4.20

4.10

2.03.9

32.52.51.80

0.400000

0.73.19.61.12.10.71.0

3113030100170030760601521080

3.20.2

10.80

4.10

0.300

3.300

1.20

3.25.90

2.50

3.40.80.30

2.70

2101

102049441

3096

1811031031723350

3327436

2.11.80.88.127.433.11.12.60.45.83.36.1

73.613.014.2

02.27.17.97.80

9.22.1

25.335.3


01033503015212411000130112

04044502007209

29183082

1830039

02.40

3.31.61.20

0.300

2.21.10

2.88.5

15.51.70

21.64.86.31.100

1.62.3

00.60

2.41.21.20

0.50

0.51.51.10.70.61.20.90.6000

0.41.10

0.50.50.5

06395333732186608210412101

03.51.87.32.00.71.40.54.51.40.60.65.91.91.80

4.40.62.70

1.40.40.70.50

0.3

981236160101

18162

563

206744

9020307013001

68.572.436.34.90

0.20

0.211.67.50.6

32.22.26.31.8

63.82.2

25.654.171.424.60.41.000

0.3


33








1000100326321154004

3.600

1.200

1.31.81.81.30.70.20.61.12.100

1.1

24011628862

39244

11184603

8.60

1.51.23.76.73.47.11.80.8

13.74.82.22.39.6

12.10

0.8

210161119141512

15229

1251868243248

7.60

1.57.56.8

63.35.9

13.43.6

63.610.225.010.114.51.1

11.31.6

13.2

1602105

15143029272117262380

37

5.80

3.01.20

16.76.3

12.59.1

12.19.54.29.65.5

12.32.10

10.2



00113030020100

9189

140

2417162391

6.00.79.21.75.30

7.29.11.05.11.22.76.50.3

00

1.10.21.10

0.900

1.70

0.900

000

115043010311

000

2.11.90

1.21.60

0.90

2.70.70.3

14012660060

82309

70126212

93.38.9

75.900

1.50

43.93.10

5.363.691.367.7

34


Map 16. Proportion of Children 6-11 Years Old Not Attending Elementary School,by Barangay, 2016-2017

Map 15. Proportion of Children 6-11 Years Old Not Attending Elementary School,by Municipality, 2016-2017



CASIGURANCASIGURANMARIA AURORADIPACULAODIPACULAOCASIGURANBALERMARIA AURORAMARIA AURORASAN LUIS

Barangay 5 (Pob.)CalabganRamadaDitaleDimabunoDibetBarangay I (Pob.)BangcoDecoliatDiteki

6 14 24 27 21 18 8

12 10 24

23.118.717.815.914.614.114.013.012.812.6


CASIGURANDINALUNGANDILASAGBALERDINGALANDIPACULAOMARIA AURORASAN LUIS

268 129 176 373 245 251 330 166

8.9 8.6 8.2 8.0 7.5 7.3 6.8 6.6


35


Map 17. Proportion of Children 12-15 Years Old Not Attending High School,by Municipality, 2016-2017

Map 18. Proportion of Children 12-15 Years Old Not Attending High School,by Barangay, 2016-2017


Bottom 10 Barangays

CASIGURANSAN LUISCASIGURANDINGALANCASIGURANDINGALANDINALUNGANDIPACULAOSAN LUISDINGALAN

Barangay 6 (Pob.)DibutEsperanzaAplayaCulatDavildavilanDitawiniDitaleDikapinisanDikapanikian

5423091383240427614

71.465.653.650.848.748.547.645.745.245.2

Magnitude ProportionMunicipality

DINGALANCASIGURANSAN LUISDILASAGDIPACULAODINALUNGANBALERMARIA AURORA

781607437348537244691577

36.029.727.326.325.424.722.120.3

36


Map 20. Proportion of Children 6-15 Years Old Not Attending School,by Barangay, 2016-2017

Map 19. Proportion of Children 6-15 Years Old Not Attending School,by Municipality, 2016-2017



DibutBarangay 5 (Pob.)DianedCalabganDitawiniLawangDitekiCabog (Matawe)AplayaButas Na Bato

245

1811159

24603013

15.212.510.39.18.17.97.77.27.15.9


DINGALANDILASAGSAN LUISDIPACULAODINALUNGANCASIGURANMARIA AURORABALER

26312312315368

133166153

4.83.53.02.82.72.62.12.0

SAN LUISCASIGURANDIPACULAOCASIGURANDINALUNGANDILASAGSAN LUISDINGALANDINGALANDINGALAN


37

Table 3. Education Indicators, by Barangay, Province of Aurora, 2016-2017

Number ofchildren (6-

11 years old)

Children notattending

elementary school(6-11 years old)

Number ofchildren (12-15 years old)

Children not attendinghigh school

(12-15 years old)


15 yearsold)

Children notattending school(6-15 years old)


Magnitude Magnitude MagnitudeProportion Proportion Proportion

57233025

229634544177816568528596450

8023

214743128168213037

14.00

6.712.09.27.47.96.89.9

12.04.05.08.2

53272723

149410300116551376412415267

1296740707648

134114587344

22.633.322.230.426.817.125.341.424.330.314.117.616.5

110505748

3781,044844293

1,367944940

1,011717

0200

1014244

3020152311

0400

2.61.32.81.42.22.11.62.31.5

15720310188

143158214240200

181182

168

192819

11.55.47.92.3

11.25.18.9

11.79.5

1219984629381151156142

40124083415433319

33.112.147.612.936.618.528.521.213.4

278302185150236239365396342

113

152

102

1375

4.01.08.11.34.20.83.61.81.5





8669244826104954442751002292731303091285876

18022476

12512094

66236153

32148

242212361876

11107

10118

7.08.78.36.2

23.110

10.25.67.2

18.78.0

10.58.19.2

11.714.112.17.96.14.59.28.09.28.5

655110251472533

3574673

16415078

222814356

13014446838756

1617153578

91111836463883211430354315212815

24.633.310.020.021.471.428.024.225.523.924.722.030.748.737.425.932.653.626.929.932.625.332.226.8

151120347340177487

799121173393423208531209101132310368122208207150

40105010

22115

1117

24864541841

2.60

2.90

12.50

1.40

2.89.12.92.80.23.44.53.85.93.01.61.10.83.81.90.7

3419911518836219171

22421127967

325

122034224

1212212

9.45.1

10.410.69.4

11.55.65.45.77.53.0

210775996

23511343

14014115949

503111298821152629399

23.840.318.630.237.418.634.918.620.624.518.4

551176174284597304114364352438116

1694

13201196

14183

2.95.12.34.63.43.67.91.64.04.12.6

38




11 years old)





(12-15 years old)


15 yearsold)




2441315053229567

50959498

106593

271663963

234662

44

11.112.212.52.86.34.54.57.76.11.97.4

17988

3252026631

3134266668

405

9134

13548321485

133924176

50.838.641.523.848.545.227.231.213.635.343.5

42321983052416198

8221,020164174998

3013601351

345378

39

7.15.97.22.53.11.04.15.24.34.63.9




7710092691471929425593156198101651801827882199121915214511811297

198

27

127

13126

206

10103697

105

1111

105

13939

2.67.0

13.010.18.86.26.47.86.56.45.13.09.25.03.8

12.86.15.58.35.36.63.4

11.08.03.14.5

3662625288

14080

16765871074427

11110448608211248570545647

110

15122213263326221913131110182088

1644

266

128317

41.719.435.525.029.523.632.513.229.214.912.125.037.016.219.216.713.319.536.416.730.68.622.214.36.415.5

11316215412123533217442215824330514592

2912861261422812343

237215172168144308

53846983919248251911

1014415

4.41.95.23.32.62.74.60.75.70.43.01.44.32.70.74.00.73.24.32.34.20.52.32.40.71.6

48322739065107187119144367170581484612957731201542721692066515586

2387

1046

125

2122274917427

11201170

113

4.211.89.6

11.16.25.66.44.2

14.66.0

15.96.96.12.25.47.02.75.87.17.46.53.40

7.13.5

3318547523768

1276570

22992248730873547

100109162120117379160

4695

22152535161860428

131

20118

13154038129

1523

12.137.310.642.340.536.827.624.625.726.245.733.314.93.323.031.417.013.013.824.731.710.324.316.538.3

8150712014210217531418421459626282

23576

21692

120220263434289323102246146

218323

18670

182280812751787333

2.53.62.51.42.9

10.31.93.80

3.00.82.43.40

3.71.11.73.21.93.92.82.22.91.22.1


39



11 years old)





(12-15 years old)


15 yearsold)




817548

22713518119312147849859

120197

32317241413938338

13

3.72.76.27.517.87.76.77.46.49.53.15.16.76.6

464630

1249489

125652843474585

100

9106211223331075362621

19.621.720.016.912.825.826.415.425.011.66.4

13.330.621.0

1271217835122927031818675

127145104205297

21087761221150

1.60.80

2.33.12.61.90.52.71.60.71.02.40



16816263878151599428013119030510728212323166215

801120

105

351124103

226

1279

4.80

3.82.62.60

6.35.3

12.58.4

12.63.32.87.84.95.2

10.64.2

93102937458

10664

16888

1202075717571

13937

149

2135521

224276395130194312271128

22.630.017.213.54.4

12.520.865.645.244.342.514.533.324.616.919.429.718.8

261265575

12323

265158448219310512164457194370103364

4010006

24101024113

118434

1.50

1.8000

2.315.22.24.67.72.11.82.44.11.12.91.1

40


Map 22. Proportion of Households with Income Below the Poverty Threshold,by Barangay, 2016-2017

Map 21. Proportion of Households with Income Below the Poverty Threshold,by Municipality, 2016-2017



CASIGURANSAN LUISSAN LUISCASIGURANDIPACULAOSAN LUISCASIGURANSAN LUISCASIGURANDIPACULAO

DitinagyanDibutDimanayatDibacongDimabunoDibayabayCalabganDibaloDibetPuangi

12110521741721721412027

192221

97.693.890.890.790.490.390.290.088.185.0


SAN LUISCASIGURANDINGALANDILASAGDINALUNGANDIPACULAOMARIA AURORABALER

2,7783,5463,5292,3371,5113,1763,6202,732

68.467.766.864.858.856.639.632.9


41


Map 23. Proportion of Households with Income Below the Food Threshold,by Municipality, 2016-2017

Map 24. Proportion of Households with Income Below the Food Threshold,by Barangay, 2016-2017


Bottom 10 Barangays

CASIGURANSAN LUISCASIGURANCASIGURANSAN LUISCASIGURANSAN LUISCASIGURANCASIGURANSAN LUIS

DitinagyanDibutDibacongDibetDimanayatCalabganDibayabayBianuanBarangay 5 (Pob.)Dikapinisan

11310040218519911019268748

242

91.189.387.484.983.382.781.077.273.873.6


CASIGURANSAN LUISDINGALANDILASAGDINALUNGANDIPACULAOMARIA AURORABALER

2,9772,2082,6931,7891,1172,0302,1711,681

56.854.451.049.643.536.223.820.2

42


Map 26. Proportion of Households who Experienced Hunger Due to Food Shortage,by Barangay, 2016-2017

Map 25. Proportion of Households who Experienced Hunger Due to Food Shortage,by Municipality, 2016-2017



BALERDINGALANSAN LUISDINGALANDINGALANBALERBALERDINGALANDINGALANCASIGURAN

ObligacionUmiray (Malamig)DitekiPalticDikapanikianPingitSabangButas Na BatoAplayaBianuan

5013037836

72488

1732

17.813.213.08.78.05.94.94.24.23.6


DINGALANBALERSAN LUISCASIGURANDINALUNGANMARIA AURORADILASAGDIPACULAO

25418641474

1523

4.82.21.00.90.20.20.10.1


43

Table 4. Income Poverty and Hunger Indicators, by Barangay, Province of Aurora, 2016-2017

128

22774

438288157450441412240183

7.411.425.38.017.539.236.555.937.043.441.918.324.0

9416542

30220197

238302242112111

5.65.718.45.79.927.025.434.519.629.724.68.514.6

0100

1500

50720

4800

01.400

3.500

17.85.90

4.900

768632475441718074512010420317310541719212178

2201398714713375

40.967.264.079.783.168.384.569.083.790.245.051.749.053.890.788.197.660.569.438.564.072.874.344.6

4969223948345960

68711066

14011777

40218511361

19210163

12511345

26.353.944.066.173.856.770.251.777.282.728.635.633.139.587.484.991.147.360.628.046.361.963.126.8

10000000

32000008000050100

0.50000000

3.600000

1.70000

1.40

0.500

Households with income below thepoverty threshold

Households with income below thefood threshold

Households who experienced hungerdue to food shortage



36410912818940819976

25524327987

66.863.463.762.878.866.162.358.464.655.169.0

28382

1031433341365217819920574

51.947.751.247.564.545.242.640.752.940.558.7

11000000000

0.20.6000000000





20321199

132134179242181130

67.772.072.368.865.767.367.044.931.6

15717279

10110114219310666

52.358.757.752.649.553.453.526.316.0

000040000

0000

2.00000

44



2501335164071306351969891102620

61.470.470.469.661.084.065.173.644.268.563.1

183106406303105543765526579

464

45.056.155.451.849.372.047.258.231.653.047.3

17814063

8302

130

4.24.20.10.70

8.00.48.70

1.313.2

7328065824556

256672173001934210760

1167173

114130199221175709965

76.850.654.266.761.637.872.143.890.458.470.742.943.577.953.270.353.347.944.744.685.048.672.233.963.7

481614347322117029

1321831482871486853567187

129147108525642

50.529.135.838.243.814.247.919.055.035.654.228.628.962.331.252.540.929.829.928.956.530.053.619.241.2

0010000000000000000100100

00

0.80000000000000000

0.200

1.000






5082554757

14047

17777

1131014736

1591304456

1812025

15493

1329453

145

35.048.232.738.223.432.421.529.749.752.831.127.026.549.838.037.931.151.454.159.554.235.543.945.928.837.8

25463130367526

112498853342792663139

1221514934979702589

17.527.118.524.414.817.411.918.831.641.116.319.519.928.819.326.721.734.740.533.332.718.726.234.113.623.2

00120040000010001010100000

00

0.61.600

1.800000

0.7000

0.60

2.70

0.400000





45


7363441938918999783949666079184

48.746.750.636.134.047.629.841.740.641.938.654.557.258.8

533127

12446

1124952262933344297

35.323.031.023.217.628.214.827.827.124.819.330.930.431.0

00002001010000

0000

0.800

0.50

0.90000

1908

23467527

21410527321720431211830213523379217

68.319.534.357.546.690.090.393.883.090.871.862.466.364.372.261.363.259.6

154517375422

19210024219916321977

22910417863

153

55.412.225.446.233.573.381.089.373.683.357.443.843.348.755.646.850.442.0

0010000010

370000020

00

1.500000

0.30

13.000000

1.60








46


Map 28. Unemployment Rate (15 years old and above), by Barangay, 2016-2017

Map 27. Unemployment Rate (15 years old and above), by Municipality, 2016-2017



DILASAGCASIGURANCASIGURANDILASAGDILASAGDILASAGDILASAGCASIGURANDILASAGDINGALAN

EsperanzaDitinagyanCalabganMasagana (Pob.)Maligaya (Pob.)iniogUraBianuanManggitahanPaltic

2054944

16615012934

20078

206

41.328.226.325.825.219.319.117.215.315.0


DILASAGDINGALANCASIGURANDIPACULAOSAN LUISMARIA AURORADINALUNGANBALER

91960250756839255469

211

18.67.67.37.06.84.81.81.7


47


Map 29. Proportion of Persons who are Victims of Crimes, by Municipality, 2016-2017

Map 30. Proportion of Persons who are Victims of Crimes, by Barangay, 2016-2017


DINGALANBALERDILASAGCASIGURANDIPACULAOSAN LUISMARIA AURORADINALUNGAN

433837

10840

0.20.10.00.00.00.00.00


BALERDINGALANDILASAGDIPACULAOCASIGURANDIPACULAOBALERDINGALANCASIGURANCASIGURAN

Barangay V (Pob.)Umiray (Malamig)DicabasanNorth PoblacionBarangay 5 (Pob.)DianedBarangay III (Pob.)Butas Na BatoCalantasEsperanza

232338121231

1.30.50.50.40.40.30.30.20.20.2

48


Table 5. Unemployment and Victims of Crime Indicators, by Barangay,Province of Aurora, 2016-2017


Persons who are victims of crimesNumber of persons in thelabor force



ProportionProportion MagnitudeMagnitude

250104122142707

1,4161,233429

1,8951,3951,5561,7571,122

15214

2315244

3120173124

6.01.90.82.83.31.11.90.91.61.41.11.82.1

0010

2300360500

00

0.30

1.300

0.20.10

0.100

27317237796858

102150

1,164167300584476296447280174192389579192250259244

111406311

20044142378

145

496

2747679

14

4.00.6

10.80

8.85.21.00.717.226.34.73.91.52.73.11.8

28.23.16.98.13.12.83.55.7

100010001003000001000000

0.1000

0.4000000

0.200000

0.2000000

765274265406669496143596510643178

86211733

129205

015078

16634

11.27.76.48.1

19.341.3

025.215.325.819.1

03000000000

00.5000000000





470422261294323375599612584

1619546

117

10

3.40.23.41.71.21.61.81.11.7

000000000

000000000


49







692339

1,044729313134

1,1521,369314189

1644

67212140344

212062515

148

9.76.22.05.5

10.93.01.8

15.08.07.99.0

228110060023

0.10.20.20

0.100

0.100

0.5

10687418919811723640923830476432812637484

333121148419319729340564160475152

46110781720204

38124

433

2745

421080315911426

3.87.05.33.56.87.24.98.41.35.03.73.2

11.53.68.13.33.4

10.03.1

11.09.1

10.56.98.83.9

0000020000000000000800000

00000

0.30000000000000

0.400000

1562242031733716103327561632634412261755004431472353795156

340332291231275436

1417145

272419513

15169517873

2622

161015129

34

9.07.66.92.97.33.95.76.71.85.73.64.02.93.41.84.81.36.93.93.64.73.05.25.23.37.8

00000000001000000000010001

0000000000

0.10000000000

0.1000

0.1




50








213170127605366387463266108168210126175342

1854

356

27198785

124

16

8.52.93.15.81.67.04.13.06.54.82.49.52.34.7

00001000000000

0000

0.1000000000

40879

10012126543307135435298488642227619275583185561

384

1115393

112

14104629143125522

46

9.35.1

11.012.414.77.03.61.53.23.49.44.56.25.09.18.91.18.2

000000000023010101

0000000000

0.10.10

0.00

0.10

0.1




51


Map 31. CBMS Composite Indicator, by Municipality, 2016-2017

Map 32. CBMS Composite Indicator, by Barangay, 2016-2017

AverageMunicipality

DINGALANSAN LUISCASIGURANDILASAGDIPACULAODINALUNGANMARIA AURORABALER

1.91.61.61.61.41.20.90.8

Barangay AverageMunicipality

Bottom 10 Barangays

DIPACULAOSAN LUISSAN LUISDINGALANDIPACULAOSAN LUISDINGALANDINGALANCASIGURANDINGALAN

DimabunoDibaloDimanayatDikapanikianPuangiDibutTawanUmiray (Malamig)DitinagyanPaltic

2.72.62.62.52.52.42.32.32.22.2

52


Table 6. CBMS Composite Indicator, by Barangay, Province of Aurora, 2016-2017

BarangayMunicipality Barangay CBMS CompositeIndicator

Municipality

0.20.20.50.20.60.80.71.91.01.01.00.30.5

1.41.41.91.32.01.31.30.90.7

1.71.81.71.91.82.51.62.21.02.32.3

1.51.01.41.21.71.21.60.92.71.21.70.91.71.61.21.41.11.11.01.12.51.11.51.01.6

1.31.71.00.90.60.60.50.61.01.10.60.90.61.00.81.50.71.21.91.81.30.70.80.90.50.7








0.81.41.21.51.81.31.71.32.02.01.01.11.51.72.02.12.21.71.61.11.32.11.51.3

1.51.41.31.42.01.81.91.31.51.81.6

CBMS CompositeIndicator


53

Table 6. CBMS Composite Indicator, by Barangay, Province of Aurora, 2016-2017

BarangayMunicipality CBMS CompositeIndicator

1.90.81.70.70.70.90.61.30.80.80.71.61.91.6

1.60.40.91.31.12.61.92.41.82.62.01.51.41.41.71.51.21.4



54


Republic of the PhilippinesProvince of CAMIGUIN

Message

MARIA LUISA ROMUALDO Governor

For a small island province like Camiguin to be featured in this vital publicationis both an honor and privilege. Knowing that we are placed side-by-side with otherfront-runner LGUs in the country, we felt sheer pride and joy as this constitute ameaningful recognition of the incremental successes we have collectively attainedin reducing poverty by embracing the new trend for evidence-based governance.

Starting CY 2014, rising up to the challenge to address pressing performancegaps, the provincial government assisted all our component municipalities inundergoing the rigorous demand of the CBMS process in order to establish a databasefor poverty monitoring. With the use of generated information for prioritizinginterventions, despite financial and systemic limitations, significant developmentsare consequently observed in the areas of health, nutrition, water and sanitation,and tourism which is our source of income.

Notwithstanding what we have accomplished so far, still we know that wehave a long way to go in fulfilling the collective aspirations of our people. But fueledby constant dynamism and commitment to serve the public, we can be assured ofthe continuing transformation of Camiguin and therefore leave a lasting legacy ofpositive difference in the lives of our constituents.

MAYORS OF CAMIGUIN

HON. NESTOR JACOT(Municipality of Catarman)

HON. HELENIO ABECIA(Municipality of Guinsiliban)

HON. ROGERIO ACLE(Municipality of Mahinog)

MAYORS OF CAMIGUIN

HON. JURDIN JESUS ROMUALDO(Municipality of Mambajao)

HON. JOSEPH UAYAN(Municipality of Sagay)

58


The Many Faces of Poverty in theProvince of Camiguin

Camiguin had a total population of 73,850 covering 16,927 householdsThe CBMS census conducted from 2015 to 2016 covered 5 municipalities in the province, namely, Catarman, Guinsiliban,Mahinog, Mambajao, and Sagay, with 58 barangays. Of the 73,850 locals, 50.4 percent are male, while 49.6 percentare female. The Municipality of Mambajao has the largest population with 26,358 members (or 35.7%) in 5,814households, followed by Catarman with 15,695 members (or 21.3%) in 3,764 households.

HEALTH AND NUTRITIONThree in every 1000 children under five years old diedAbout 0.3 percent of children under five years old died duringthe reference period. This is equivalent to 28 child deaths inthe Province of Camiguin. The proportion of child deathsamong boys was higher than girls, at 0.4 percent and 0.3percent, respectively. The highest proportion of child deathswas reported in the Municipality of Guinsiliban where 0.9percent of children under five years old died, followed by Sagaywith 0.8 percent. Meanwhile, Sagay ranked first in terms ofmagnitude with 10 cases of child deaths. Across all thebarangays, Barangay Liong in Guinsiliban registered the highestproportion of child deaths at 3.7 percent. This was followedby Barangay Bacnit in Sagay at 3.1 percent, and BarangayBonbon in Sagay at 1.9 percent.

The 2015-2016 CBMS Census covers 5 municipalities in the Province of Camiguin, namely, Catarman, Guinsiliban, Mahinog,Mambajao, and Sagay.

POPULATION


59

Only 1 pregnant woman died due to pregnancy-related causesAccording to the results of the CBMS census, only one pregnant woman aged 15-49 in the Province of Camiguin dieddue to pregnancy-related causes during the reference period. This was reported in Barangay Tangaro in Catarman.

Around 2 in every 100 children zero to five years old weremalnourishedAround 2.1 percent or 202 children zero to five years oldwere classified as moderately or severely underweight in theProvince of Camiguin. In particular, 78 boys and 124 girlszero to five years old were considered malnourished.Malnutrition prevalence among girls was higher than boys,at 2.6 percent and 1.6 percent, respectively. The highestprevalence of malnutrition was observed in Mambajao at2.6 percent, followed by Mahinog at 2.5 percent. BarangayBinatubo in Mahinog reported the highest proportion ofmalnourished children at 9.9 percent or 14 cases, followedby Barangay Balbagon in Mambajao at 8.4 percent or 16cases, and Barangay Benhaan in Mambajao at 7 percent or8 cases.

HOUSINGAbout 4.6 percent of households were living in makeshift housing while 2.3 percent were informal settlersThe 2015-2016 CBMS data showed that 5 in every 100 households in the province were living in makeshift housing.First in terms of proportion was the Municipality of Mahinog, with about 14.9 percent or 462 households living inmakeshift housing. Second was Sagay at 4.2 percent or 117 households, while third was Catarman at 2.9 percent or109 households. At the barangay level, Barangay Benoni in Mahinog had the highest proportion of households living inmakeshift housing at 65.5 percent or 226 households. This was followed by Barangay San Isidro in Mahinog at 44.3percent, which accounts for 70 households.

In terms of tenure status, 392 households or 2 in every 100 households in the province were considered informalsettlers. The highest proportion of informal settlers was observed in the Municipality of Guinsiliban at 3.1 percent with45 cases. This was followed by the Municipality of Mahinog at 2.9 percent with 89 cases. Meanwhile, the Municipalityof Mambajao had the highest number of informal settlers with 104 cases. At the barangay level, the highest proportionof informal settlers was observed in Barangay Butay in Guinsiliban at 27 percent (27 households). Meanwhile, thesecond highest in terms of proportion was Barangay Benoni in Mahinog at 13.3 percent (46 households).

60


WATER AND SANITATIONAbout 0.8 percent of the households do not have access to safe water supply and about 6.3 percent do not have accessto sanitary toilet facilitiesBased on the results of the CBMS census, 1 in every 100 households in Camiguin had no access to safe water supply.The Municipality of Guinsiliban had the worst condition in terms of water accessibility as 2.2 percent of its householdswere reported to have no access to safe water supply during the reference period. This was followed by Mahinog with1.2 percent, and Sagay with 1.1 percent. In terms of magnitude, the Municipality of Mahinog ranked first with 36 cases.Barangay Tupsan Pequeño, in particular, with 7.7 percent (22 cases) had the highest proportion of households withoutaccess to safe water supply. There were no cases of “waterless”1 barangays in the province.

On the other hand, 6.3 percent of the households do not have access to sanitary toilet facilities. This means that around6 in every 100 households in the province lacked access to sanitary toilet facilities. The Municipality of Sagay reportedthe highest proportion of sanitation poor households at 11.7 percent or 327 households, followed by Guinsiliban at 9.9percent or 144 households. Meanwhile, at the barangay level, the highest proportion of sanitation poor households wasobserved in Barangay Cuna at 27 percent (54 cases), followed by Barangay Balite at 24.5 percent (53 cases).



61

BASIC EDUCATIONAbout 2 in every 100 children 6 to 15 years old were notattending schoolThe proportion of out-of-school children 6-15 years old was1.6 percent. Regardless of education level, 2 in every 100children 6-15 years old were not attending school. Further,results revealed that 7.3 percent of children 6-11 years oldwere not attending elementary school, while 28.3 percent ofchildren 12-15 years old were not attending high school.Results also showed that the proportion of out-of-schoolchildren among boys (2.2%) was higher compared to girls(1.1%). Out of 5 municipalities, Sagay had the highestproportion of out-of-school children 6-15 years old at 2.7percent. Catarman was second highest at 2.2 percent,followed by Guinsiliban at 1.5 percent. Sagay also ranked firstin terms of magnitude, with 76 cases observed.

INCOME AND LIVELIHOODAbout 63 in every 100 households were living below thepoverty thresholdMore than half or 62.8 percent of the households in theprovince were considered income poor, which means thataround 63 in every 100 households have no sufficientincome to satisfy their basic food and non-food needs. All5 municipalities in Camiguin had an income poverty rateabove 50 percent. Catarman had the highest proportion ofhouseholds living below poverty threshold at 78.6 percent,followed by Guinsiliban at 68 percent. Across all barangaysin the province, the highest proportion of income poorhouseholds was observed in Barangay Tangaro, at 92.1percent (233 cases). This was followed by Barangay Butayat 86 percent.

Around 49 in every 100 households had no sufficient incometo satisfy their food needsAccording to the CBMS data, 48.5 percent of the householdsin Camiguin were living below the food threshold.Subsistence incidence was most prevalent in Catarmanwhere 68.4 percent of the households (2,573 cases) werefood poor. In particular, Barangay Tangaro recorded the highestincidence of subsistence where 85.4 percent of thehouseholds were living below the food threshold, followedby Barangay Butay where 81 percent of the households wereliving below the food threshold.

62


One in every 100 households experienced hunger due tofood shortageAround 1 percent of the households in the provincesuffered from hunger during the three-month period beforethe census. Hunger due to food shortage was mostprevalent in the Municipality of Sagay at 3.3 percent or 93cases. Next to Sagay was Mahinog at 1.1 percent or 33cases. Across all the barangays, the highest proportion ofhouseholds that experienced hunger due to food shortagewas observed in Barangay Manuyog at 17.3 percent,followed by Barangay Bacnit at 11.4 percent, and BarangayTupsan Pequeño at 5.6 percent.

Unemployment rate in the province was recorded at 7.6 percentAbout 7.6 percent or 1,692 individuals of the 22,264 membersof the labor force aged 15 and above were reported to beunemployed. It appears that the unemployment rate was higheramong females at 10.1 percent than among males at 6.6percent. Unemployment was most prevalent in Sagay where11.4 percent or 458 members of the labor force wereunemployed during the reference period. This was followed byCatarman at 10.1 percent or 431 cases, and Guinsiliban at 8.4percent or 174 cases. Across all barangays, Barangay Poblacionand Barangay Looc recorded the two highest unemploymentrates in the province, at 24.3 percent and 19.4 percent,respectively.

PEACE AND ORDERAround 1 in every 1000 people were victims of crimeCBMS results show that around 0.1 percent of the population or 42 individuals in the Province of Camiguin werereported to be victims of crime. Catarman reported the highest number of crime victims with 15 cases, followed byMambajao with 8 cases. At the barangay level, Barangay Poblacion in Catarman recorded the highest number of crimevictims with 11 cases. This is followed by Barangay Bacnit, Barangay Bug-ong, and Barangay San Roque with 3 caseseach.

CBMS COMPOSITE INDEXHouseholds in the Province of Camiguin suffered from one deprivation2 on the averageThe Province of Camiguin recorded a CBMS composite index (CCI) of 1.4, which means that households in the provincewere not able to meet the 13 basic needs and suffered from 1 deprivation, on the average. In particular, households inCatarman and in Guinsiliban were not able to meet 2 of the 13 basic needs, on the average. Further disaggregated datashow that Barangay Butay, Barangay Tangaro, and Barangay Cantaan had the highest incidence of deprivation, with 2unmet needs, on the average.



63


Based on the CBMS data, around 41.6 percent of all households are non-poorwhile 58.4 percent of households were poor in at least one dimension. Inparticular, about 44.6 percent or 7,553 households in the province were poorin one dimension, while 12 percent or 2,029 households were poor in twodimensions. Meanwhile, 1.6 percent or 276 households were poor in threedimensions.

DIMENSIONS OF POVERTY IN CAMIGUIN

Number ofDimensions


Total 58.4

1234567

44.612.01.60.20.00.00.0


0.3 2.14.6

2.3

0.8

6.3

1.6

48.5

7.6 0.10.0

10.0

20.0

30.0

40.0

50.0

60.0Health Poor

Nutrition Poor

Housing Poor

Tenure Poor

Water Poor

SanitationPoor

Education Poor

Income Poor

Job Poor

Security Poor

64



65

The Many Faces of Poverty inthe Province of Camiguin

INDICATOR








Magnitude

16,9274

785392

1281,071

10,6278,215

177

Proportion

4.62.3

0.86.3

62.848.5

1.0


CBMS Core Indicators, Province of Camiguin, 2015-2016

ProportionMagnitude

1,3798,0849,7729,9046,333

16,23757,50622,264

73,850

281

202

7201,792

267

7.328.3

1.6

42 0.1

0.30.12.1

1,692 7.6

CBMS Composite Indicator, Province of Camiguin, 2015-2016


1.5

66


CBMS Core Indicators, by Municipality, Province of Camiguin, 2015-2016

Number ofchildren

(6-11 yearsold)


(6-11 years old)


(12-15 years old)


years old)

Number ofchildren

(6-15 yearsold)


(6-15 years old)

Municipality






Municipality


CATARMANGUINSILIBANMAHINOGMAMBAJAOSAGAY

10923

46274

117

2.91.6

14.91.34.2

844589

10470

202144209189327

5.49.96.73.3

11.7

2.23.12.91.82.5

832362131

0.22.21.20.41.1



years old)


(0-5 years old)


Numberof children

under 1year old


related causes

Totalpopulation



years old


3,7641,4493,1075,8142,793

15,6956,265

13,33126,35812,201

1,674667

1,4902,9721,281

2,015803

1,7843,5961,574

2116459525

1.02.02.52.61.6

8613

10

0.50.90.10.10.8

312100262559146

10000

0.30000


2,003874

1,8323,4371,758

1226167

211259

6.17.03.76.1

14.7

3,3271,4162,9865,6722,836

7221336576

2.21.51.11.12.7

1,324542

1,1542,2351,078

301151251672417

22.727.921.830.138.7




Municipality








2,959986

1,6183,8211,243

78.668.052.165.744.5

2812331193

0.70.81.10.23.3

2,573822

1,1512,899770

68.456.737.049.927.6


4,2562,0704,1767,7464,016

431174224405458

0.10.10.10.00.0

1.71.61.21.31.1

10.18.45.45.2

11.4

156786

CBMS Poverty Maps: Province of Camiguin


67





Bottom 11 Barangays

GUINSILIBANSAGAYSAGAYCATARMANCATARMANSAGAYMAMBAJAOCATARMANMAMBAJAOSAGAYCATARMAN

LiongBacnitBonbonLiloanSanto NiñoAlangilanKuguitaPoblacionBug-ongBugangLawigan

63312212111

3.73.11.91.81.51.41.21.00.90.90.9


GUINSILIBANSAGAYCATARMANMAHINOGMAMBAJAO

610813

0.90.80.50.10.1

68






Bottom Barangay

CATARMAN Tangaro 1 4.0


CATARMANGUINSILIBANSAGAYMAHINOGMAMBAJAO

10000

0.30000


69





Bottom 10 Barangays

MAHINOGMAMBAJAOMAMBAJAOMAHINOGMAMBAJAOMAHINOGMAMBAJAOMAMBAJAOSAGAYGUINSILIBAN

Binatubo (Binaliwan)BalbagonBenhaanOwakanTupsanTupsan PequeñoSoro-soroAnitoAlangilanSouth Poblacion

14 16 8 4

12 6 5 7 7 4

9.98.47.06.54.94.64.54.24.14.0


MAMBAJAOMAHINOGGUINSILIBANSAGAYCATARMAN

9545162521

2.62.52.01.61.0

70


Table 1. Health and Nutrition Indicators, by Barangay, Province of Camiguin, 2015-2016

CATARMAN AlgaBonbonBuraCatibacCompolLawiganLiloanLoocMainitManduaoPanghiawanPoblacionSanto NiñoTangaro

1052851001271881376153

18994

108244155169

10034021130312

1.000

2.42.10

3.31.90.53.20

1.20.61.2

8523883

1091561125439

1568094

200129139

00001110000221

0000

0.60.91.80000

1.01.50.7

155316132928106

301519332124

00000000000001

0000000000000

4.0


(0-5years old)


(0-5 years old)

Proportion




causes



GUINSILIBAN ButayCabuanCantaanLiongMaacNorth PoblacionSouth Poblacion

23114015228289

10880

18714222271187

106208227

27416719134611513595

218175255860111133247274

47

165820506

1253

1210

1.54.28.41.47.01.50

2.30

2.41.44.52.34.93.6

100001100000000

0.40000

0.91.200000000

48213361151714342641

12718233843

000000000000000

000000000000000

MAHINOG BenoniBinatubo (Binaliwan)CatohuganHubangonOwakanPoblacionPuntodSan IsidroSan JoseSan MiguelSan RoqueTubodTupsan Pequeño

MAMBAJAO AgohoAnitoBalbagonBaylaoBenhaanBug-ongKuguitaMagtingNaasagPandanPoblacionSoro-soroTagdoTupsanYumbing

16512011813047

30711169785314637109

20414214415662

367129849462

16743

130

41404490111106

2.09.90

2.66.52.50

1.21.11.60.60

4.6

0000000000100

0000000000

0.700

28232327546231910423526

0000000000000

0000000000000

5214948

155879284

6017658

185111113100

1116124

1.70.61.73.20.91.84.0

0006000

000

3.7000

6246

27141211

0000000

0000000


71

Table 1. Health and Nutrition Indicators, by Barangay, Province of Camiguin, 2015-2016

SAGAY AlangilanBacnitBaliteBonbonBugangCunaManuyogMayanaPoblacion

170128164184132150188136322

713151142

4.10.81.80.53.80.70.52.90.6

14593139152107121157108259

231310000

1.43.10.71.90.90000

41015311213331315

000000000

000000000


(0-5years old)


(0-5 years old)

Proportion




causes



years old

72





Bottom 10 Barangays

MAHINOGMAHINOGMAHINOGSAGAYMAHINOGCATARMANMAHINOGCATARMANSAGAYCATARMAN

BenoniSan IsidroTupsan PequeñoManuyogBinatubo (Binaliwan)BonbonSan RoqueCatibacPoblacionLiloan

226 70 99 57 31 41 22 14 35 5

65.544.334.720.111.98.07.96.24.44.1


MAHINOGSAGAYCATARMANGUINSILIBANMAMBAJAO

4621171092374

14.94.22.91.61.3



73





GUINSILIBANMAHINOGGUINSILIBANSAGAYCATARMANMAHINOGSAGAYSAGAYMAHINOGMAMBAJAO

ButayBenoniCantaanBugangMainitSan IsidroBaliteCunaCatohuganMagting

27 46 8

12 18 8

10 9 8

12

27.013.37.45.35.25.14.64.53.73.4


GUINSILIBANMAHINOGSAGAYCATARMANMAMBAJAO

45897084

104

3.12.92.52.21.8

74





Bottom 10 Barangays

MAHINOGGUINSILIBANSAGAYGUINSILIBANSAGAYGUINSILIBANMAHINOGMAHINOGSAGAYMAMBAJAO

Tupsan PequeñoCantaanManuyogCabuanBonbonButayBenoniSan MiguelCunaBaylao

22 7 17 18 11 3 8 2 3 6

7.76.56.05.83.43.02.32.21.51.2


GUINSILIBANMAHINOGSAGAYMAMBAJAOCATARMAN

323631218

2.21.21.10.40.2



75





SAGAYSAGAYSAGAYSAGAYMAHINOGGUINSILIBANMAHINOGGUINSILIBANGUINSILIBANMAHINOG

CunaBaliteBugangBacnitSan MiguelMaacSan RoqueCabuanButayOwakan

54 53 53 40 17 39 43 47 15 15

27.024.523.519.018.718.715.515.315.014.6


SAGAYGUINSILIBANMAHINOGCATARMANMAMBAJAO

327144209202189

11.79.96.75.43.3

76


Table 2. Housing, Water and Sanitation Indicators, by Barangay, Province of Camiguin, 2015-2016







3413

1412552642264

1.78.01.66.23.42.04.11.11.72.41.00.42.51.6

214115615

18221773

1.12.70.50.41.42.40.82.75.21.21.03.22.91.2

01020200010020

00.20

0.90

0.8000

0.600

0.80

22131029321341

2491

121517

12.42.55.5

12.88.95.13.30.56.95.40.52.36.26.7

4447453422175634

0.91.61.21.42.61.91.31.10.70.51.23.03.20.71.0

54

104284

1249

203496

1.11.63.00.81.33.11.83.41.42.41.41.82.12.21.4

000612001430040

000

1.20.70.800

0.31.10.200

1.00

417161517114

14136

4610

1510

0.96.84.73.011.14.21.84.04.41.63.30.60

3.62.4





2726123

2.02.31.92.10.50.81.8

27283023

27.00.67.41.00

0.81.8

31871021

3.05.86.50.30

0.80.6

1547137

399

14

15.015.312.02.418.73.48.4

2263110093

7001

220

99

65.511.90.500

1.51.5

44.30

1.17.90

34.7

46287132802208

13.30.83.72.21.00.51.05.10

2.20.70

2.8

800103000200

22

2.300

0.30

0.5000

2.200

7.7

1104

20156487017430

20

3.20

1.96.4

14.610.83.94.40

18.715.5

07.0


77

Table 2. Housing, Water and Sanitation Indicators, by Barangay, Province of Camiguin, 2015-2016







264053175354189

57

7.519.024.55.3

23.527.06.44.77.2

264831

571

35

0.62.91.92.51.30.5

20.10.54.4

53

107

12912

21

1.41.44.62.25.34.50.41.02.6

000

11031700

000

3.40

1.56.000


78






SAGAYSAGAYSAGAYSAGAYSAGAYCATARMANSAGAYMAMBAJAOCATARMANMAMBAJAO

AlangilanPoblacionCunaBonbonMayanaPanghiawanBugangKuguitaLoocAgoho

41 73 26 34 21 14 18 14 11 32

20.717.917.316.415.314.612.912.212.212.1


SAGAYGUINSILIBANCATARMANMAMBAJAOMAHINOG

25961

12221167

14.77.06.16.13.7


79





Bottom 10 Barangays

SAGAYSAGAYSAGAYSAGAYMAMBAJAOSAGAYSAGAYGUINSILIBANMAMBAJAOMAMBAJAO

AlangilanMayanaBacnitBaliteBaylaoCunaPoblacionLiongBug-ongKuguita

61 26 44 37 90 33

113 50 37 29

47.747.345.843.543.342.942.341.040.237.7


SAGAYMAMBAJAOGUINSILIBANCATARMANMAHINOG

417672151301251

38.730.127.922.721.8

80






SAGAYCATARMANCATARMANCATARMANSAGAYMAHINOGSAGAYSAGAYSAGAYCATARMAN

MayanaPoblacionAlgaSanto NiñoPoblacionTubodAlangilanCunaBugangPanghiawan

10 17 6 8

24 2

10 7 7 5

5.24.34.13.73.63.23.13.13.13.0


SAGAYCATARMANGUINSILIBANMAMBAJAOMAHINOG

7672216533

2.72.21.51.11.1


81

Table 3. Education Indicators, by Barangay, Province of Camiguin, 2015-2016


11 years old)





(12-15 years old)


15 yearsold)




812781041092021506190

1909296

233130187

5935

12103

1185

142098

6.23.22.94.65.96.74.9

12.24.25.4

14.68.66.94.3

671776373

129933766

1315673

15986

114

15481621331352026819421916

22.427.125.428.825.614.013.530.319.814.326.026.422.114.0

14845516718233124398

156321148169392216301

643163238151785

4.10.91.80.51.81.22.01.92.50.73.04.33.71.7

264154206308103128115192191197850100124268237

3284

3337

142

226

623384

12.15.21.9

10.72.95.5

12.21.0

11.53.07.33.02.43.01.7

17667

103208569277

1271071446207076

154158

5814259021372921342819718183943

33.020.924.343.337.540.237.716.531.819.431.825.723.725.327.2

440221309516159220192319298341

1,470170200422395

8234222335

155326

1.80.91.00.81.30.91.00.91.01.51.02.91.50.51.5





6518569

190133130102

3157

11898

4.68.1

10.15.86.06.97.8

3211930

12285

10549

5251150282012

15.621.036.741.032.919.024.5

9730499312218235151

2325342

2.11.02.01.61.41.71.3

24014112416271

3601409210753

15737

148

13358483245804

5.42.14.04.95.62.22.12.23.79.45.10

2.7

1331017989432517356653310426101

3721161612611312127

224

18

27.820.820.318.027.924.317.821.418.521.221.215.417.8

37324220325111461121314817286

26163

249

1414082300226

0.31.70.51.60

1.30.92.000

0.83.22.4

82


Table 3. Education Indicators, by Barangay, Province of Camiguin, 2015-2016


11 years old)





(12-15 years old)


15 yearsold)




198123170207139150227137407

411318341826152173

20.710.610.616.412.917.36.6

15.317.9

1289685

1318977

15055

267

6144374230333126

113

47.745.843.532.133.742.920.747.342.3

326219255338228227377192674

10158774

1024

3.10.52.02.43.13.11.15.23.6



83





CATARMANGUINSILIBANCATARMANCATARMANCATARMANCATARMANCATARMANCATARMANCATARMANCATARMAN

TangaroButayManduaoAlgaBonbonSanto NiñoMainitCatibacBuraPanghiawan

23386

142148429200283183148164

92.186.085.583.683.582.381.681.080.980.8


CATARMANGUINSILIBANMAMBAJAOMAHINOGSAGAY

2,959986

3,8211,6181,243

78.668.065.752.144.5

84





Bottom 10 Barangays

CATARMANGUINSILIBANCATARMANCATARMANCATARMANCATARMANCATARMANCATARMANCATARMANCATARMAN

TangaroButayManduaoBonbonPanghiawanSanto NiñoCatibacAlgaLiloanBura

21681

12538214917816212687

128

85.481.075.374.373.473.371.771.270.769.9



2,573822

2,8991,151770

68.456.749.937.027.6



85





Bottom 10 Barangays

SAGAYSAGAYMAHINOGMAHINOGSAGAYSAGAYMAHINOGCATARMANGUINSILIBANGUINSILIBAN

ManuyogBacnitTupsan PequeñoSan IsidroMayanaBugangBinatubo (Binaliwan)PoblacionSouth PoblacionButay

4924168788

1342

17.311.45.65.13.63.53.12.52.42.0


SAGAYMAHINOGGUINSILIBANCATARMANMAMBAJAO

9333122811

3.31.10.80.70.2

86


Table 4. Income Poverty and Hunger Indicators, by Barangay, Province of Camiguin, 2015-2016

14842914818326118299141283142164346200233

83.683.580.981.072.971.980.575.081.685.580.865.382.392.1

12638212816221515487

121237125149293178216

71.274.369.971.760.160.970.764.468.375.373.455.373.385.4

00033201031

1302

000

1.30.80.80

0.50

1.80.52.50

0.8






289192239332122140113243216225865121143275306

62.076.870.765.479.753.649.869.873.060.261.771.675.366.473.2

21215017225999

10583

19817116164186

111214237

45.560.050.951.064.740.236.656.957.843.045.750.958.451.756.7

220103000120000

0.40.80

0.20

1.1000

0.30.10000





8617585

23615117083

86.056.878.780.872.264.249.7

8148.465.764.760.852.838.9

81.048.465.764.760.852.838.9

2012034

2.00

0.90.70

1.12.4

18484

12116260

36188

10010818

15817

157

53.332.356.051.958.360.843.363.361.419.856.819.855.1

1084876

13144

2825276819

1263

115

31.318.535.242.042.747.525.648.146.09.9

45.33.5

40.4

080000080010

16

03.100000

5.100

0.40

5.6


87

Table 4. Income Poverty and Hunger Indicators, by Barangay, Province of Camiguin, 2015-2016

10611813912413812419698200

30.556.264.438.461.162.069.351.025.1

527096729481

1555991

15.033.344.422.341.640.554.830.711.4

1241080

4973

0.311.40.50

3.50

17.33.60.4







88






SAGAYCATARMANGUINSILIBANSAGAYMAHINOGGUINSILIBANCATARMANCATARMANCATARMANCATARMAN

PoblacionLoocMaacCunaSan RoqueCantaanLawiganPoblacionTangaroBonbon

286 30 41 48 59 26 51 84 33 53

24.319.416.916.716.115.615.511.710.410.2


SAGAYCATARMANGUINSILIBANMAHINOGMAMBAJAO

458431174224405

11.410.18.45.45.2


89





Bottom 10 Barangays

GUINSILIBANCATARMANMAHINOGMAMBAJAOSAGAYMAHINOGCATARMANGUINSILIBANCATARMANSAGAY

ButayPoblacionSan RoqueBug-ongBacnitSan MiguelCatibacLiongLawiganAlangilan

2 11 3 3 3 1 2 2 1 1

0.50.50.30.30.30.20.20.20.10.1


CATARMANGUINSILIBANMAHINOGSAGAYMAMBAJAO

156768

0.10.10.10.00.0

90


Table 5. Unemployment and Victims of Crime Indicators, by Barangay,Province of Camiguin, 2015-2016






195520202231379328131155382176220720301316

1853132333511130257

20843033

9.210.26.4

10.08.7

15.58.4

19.46.54.09.1

11.710.010.4

01020100000

1100

00.00

0.20

0.100000

0.500

636300420652177379290429409538

1992217243493571

4689

505

3414172126

13547

1415

7.22.72.17.72.89.04.84.05.14.86.81.82.92.82.6

200103000110000

0.100

0.00

0.3000

0.10.00000





118491167356242407289

2312614413723

1.76.3

15.63.9

16.99.18.0

2102001

0.50.10

0.200

0.1

397411257456167805303170197134367148364

16280974723979

5946

4.06.80

2.04.25.87.65.33.66.7

16.12.71.6

0000020001301

00000

0.1000

0.20.30

0.1


91

Table 5. Unemployment and Victims of Crime Indicators, by Barangay,Province of Camiguin, 2015-2016






468320310445292288425293

1,175

432219245

4856

286

9.26.96.15.41.7

16.71.22.0

24.3

130200000

0.10.30

0.100000


92





Bottom 10 Barangays

GUINSILIBANCATARMANGUINSILIBANCATARMANCATARMANCATARMANCATARMANCATARMANMAHINOGSAGAY

ButayTangaroCantaanCatibacSanto NiñoBonbonAlgaManduaoSan IsidroManuyog

2.22.02.01.91.91.91.91.91.91.8

Municipality Average


1.81.61.41.31.2



93

Table 6. CBMS Composite Indicator, by Barangay, Province of Camiguin, 2015-2016


Municipality

1.81.81.71.81.61.61.71.61.71.81.71.51.82.0

0.71.41.50.81.41.61.81.00.8

1.21.51.41.31.71.21.01.41.51.21.21.41.51.31.4







2.21.42.01.61.71.41.2

1.70.81.01.11.31.30.91.81.10.61.50.31.6

94



95

Republic of the PhilippinesProvince of IFUGAO

Message

PEDRO MAYAM-O Governor

Kindly accept my warmest greetings on the occasion of your 14th CBMS NationalConference. May I also express my gratitude in including the Province of Ifugao inyour publication, entitled, “The Many Faces of Poverty.” I personally take this as arecognition of our unceasing efforts to research and to study the underlying reasonsof the widespread poverty in our locality, the impediments of economic advancement,and our strong determination to improve the lives of our constituencies.

Because of the CBMS, statistics on poverty and other areas of developmentin our local government unit is now available at our fingertips. The planners, decisionmakers and implementers are provided with a clearer and solid basis to determinespecific areas on where to accord the necessary and appropriate interventions. Thisis to stir economic pursuits and promote other community development undertakings.In like manner, our aspiration for the less fortunate families of the province is forthem to improve their situation and become economically liberated.

All of the aforementioned scenarios are promising due to the enduring supportof De La Salle University (DLSU) Angelo King Institute for Economic and BusinessStudies specifically, on data generation, other concerned government and non-government agencies. Together, we are confident to win the war on poverty.

Thank you and good luck to all your future endeavors.

MAYORS OF IFUGAO

HON. GASPAR CHILAGAN, JR.(Municipality of Aguinaldo)

HON. GLENN PRUDENCIANO(Municipality of Alfonso Lista)

HON. JERRY DALIPOG(Municipality of Banaue)

HON. ARMANDO DOMILOD(Municipality of Asipulo)

HON. GERALDO LUGLUG(Municipality of Hingyon)

MAYORS OF IFUGAO

HON. HILARIO BUMANGABANG(Municipality of Hungduan)

HON. JOSELITO GUYGUYON(Municipality of Kiangan)

HON. MARTIN HABAWEL, JR.(Municipality of Lagawe)

MAYORS OF IFUGAO

HON. RONIE LUMAYNA(Municipality of Mayoyao)

HON. MARCELO CATALINO(Municipality of Tinoc)

HON. MARIANO BUYAGAWAN, JR.(Municipality of Lamut)


99

The Many Faces of Poverty in theProvince of Ifugao

Ifugao had a total population of 176,540 covering 42, 147 householdsThe CBMS census conducted from 2015 to 2016 covered 11 municipalities in the province, namely, Aguinaldo, AlfonsoLista, Asipulo, Banaue, Hingyon, Hungduan, Kiangan, Lagawe, Lamut, Mayoyao, and Tinoc, with 175 barangays. Of the176,540 locals, 52.1 percent are male, while 47.9 percent are female. The Municipality of Alfonso Lista has the largestpopulation with 30,234 members (or 17.1%) in 7,361 households, followed by Lamut with 21,591 members (or 12.2%)in 5,544 households.

HEALTH AND NUTRITIONTwo in every 1000 children under five years old diedAbout 0.2 percent of children under five years old died duringthe reference period. This is equivalent to 46 child deaths inthe province. The proportion of child deaths among boys waslower than girls, at 0.2 percent and 0.3 percent, respectively.The highest proportion of child deaths was reported in themunicipalities of Tinoc (9 cases), Mayoyao (6 cases), andHungduan (4 cases), all were at 0.5 percent. Tinoc also rankedfirst in terms of magnitude. Among all the barangays, BarangayLiwo in Mayoyao registered the highest proportion of childdeaths at 7.4 percent. This was followed by Barangay Burnayin Lagawe at 4 percent, and both Barangay Pullaan in Lagaweand Barangay Nungulunan in Hungduan at 3.4 percent.

The 2015-2016 CBMS Census covers 11 municipalities in the Province of Ifugao, namely, Aguinaldo, Alfonso Lista, Asipulo,Banaue, Hingyon, Hungduan, Kiangan, Lagawe, Lamut, Mayoyao, and Tinoc.

POPULATION

100


Three in every 10000 pregnant women died due to pregnancy-related causesAccording to the results of the CBMS census, 0.03 percent of pregnant women aged 15-49 in the Province of Ifugao dieddue to pregnancy-related causes during the reference period. Only one case of maternal death was reported in Ifugao,which was in Barangay Chalalo in Aguinaldo.

Around 2 in every 100 children zero to five years old weremalnourishedAround 1.6 percent or 362 children zero to five years old wereclassified as moderately or severely underweight in theProvince of Ifugao. In particular, 160 boys and 202 girls zeroto five years old were considered malnourished. Malnutritionprevalence among girls was higher than boys, at 1.9 percentand 1.4 percent, respectively. The highest prevalence ofmalnutrition was observed in Hingyon at 2.7 percent, followedby Tinoc at 2.3 percent. Barangay San Juan in Alfonso Listareported the highest proportion of malnourished children at20.5 percent, followed by Barangay Buninan in Mayoyao at12.8 percent, and Barangay Umalbong in Hingyon at 12.4percent.

HOUSINGAbout 1.7 percent of households were living in makeshift housing while 2.3 percent were informal settlersThe 2015-2016 CBMS data showed that 2 in every 100 households in the province were living in makeshift housing.First in terms of proportion was the Municipality of Hungduan, with around 6.2 percent of its households living inmakeshift housing. Second was Lagawe at 2.3 percent, while third was Alfonso Lista at 2.2 percent. At the barangaylevel, Barangay Luta in Lagawe had the highest proportion of households living in makeshift housing at 29.3 percent (17households). This was followed by Barangay Calupaan in Alfonso Lista at 23.7 percent (44 households).

In terms of tenure status, 956 households or 2 in every 100 households in the province were considered informalsettlers. The highest proportion of informal settlers was observed in the Municipality of Hungduan at 6.3 percent. Thiswas followed by the Municipality of Aguinaldo at 5.2 percent. Meanwhile, the Municipality of Aguinaldo ranked first interms of magnitude (246 households). At the barangay level, the highest proportion of informal settlers was observedin Barangay Halag in Aguinaldo at 51.7 percent, accounting for 178 households in the said barangay. The second highestwas Barangay Cababuyan in Hingyon at 32.6 percent, accounting for 43 households in the said barangay.


101

WATER AND SANITATIONAbout 26.6 percent of the households do not have access to safe water supply and about 21.8 percent do not haveaccess to sanitary toilet facilitiesBased on the results of the CBMS census, 27 in every 100 households in Ifugao had no access to safe water supply. TheMunicipality of Banaue had the worst condition in terms of water accessibility as 59.5 percent of its households werereported to have no access to safe water supply during the reference period. This was followed by Aguinaldo with 50percent, and Tinoc with 48.7 percent. In terms of magnitude, Banaue also ranked first with 2,459 cases. Two barangayshad no access to safe water supply at all, namely, Barangay Bangaan and Barangay Anaba, both of which are in Banaue.Of the 169 barangays, 36 can be considered “waterless”1.

On the other hand, 21.8 percent of the households do not have access to sanitary toilet facilities. This means thataround 22 in every 100 households in the province lacked access to sanitary toilet facilities. The Municipality of Hingyonreported the highest proportion of sanitation poor households at 30.5 percent (634 households), followed by Tinoc at27.8 percent (937 households). Meanwhile, at the barangay level, the highest proportion of sanitation poor householdswas observed in Barangay Palaad at 91.9 percent (68 cases), followed by Barangay Langayan at 85.5 percent (53cases). Both of which are in the Municipality of Mayoyao.


102


BASIC EDUCATIONAbout 4 in every 100 children 6 to 15 years old were notattending schoolThe proportion of out-of-school children 6-15 years old was3.7 percent. Regardless of education level, 4 in every 100children 6-15 years old were not attending school. Further,results revealed that 6.3 percent of children 6-11 years oldwere not attending elementary school, while 30.6 percent ofchildren 12-15 years old were not attending high school.Results also showed that the proportion of out-of-schoolchildren among boys (5.7%) was higher compared to girls(1.6%). Out of 11 municipalities, Aguinaldo had the highestproportion of out-of-school children 6-15 years old at 6 percent.Tinoc was second highest at 5.9 percent, and third was Asipuloat 5.4 percent. Meanwhile, in terms magnitude, Aguinaldohad the highest number of out-of school children 6-15 yearsold, with 262 cases observed.

INCOME AND LIVELIHOODAbout 54 in every 100 households were living below thepoverty thresholdMore than half or 54 percent of the households in theprovince were considered income poor, which means thataround 54 in every 100 households have no sufficientincome to satisfy their basic food and non-food needs. Outof 11 municipalities, only Lamut and Lagawe reported anincome poverty rate below 50 percent, at 34.2 and 46.7,respectively. Aguinaldo had the highest proportion ofhouseholds living below poverty threshold at 71.6 percent,followed by Tinoc at 64.5 percent. Across all barangays inIfugao, the highest proportion of income poor householdswas observed in Barangay Nalbu in Mayoyao at 98.4percent, followed by Barangay Buwag in Aguinaldo at 96.5percent.

Around 39 in every 100 households had no sufficientincome to satisfy their food needsAccording to the CBMS data, 39.4 percent of thehouseholds in Ifugao were living below the food threshold.Subsistence incidence was most prevalent in Aguinaldoat 58.3 percent. Meanwhile, with 2,779 cases each, bothAguinaldo and Alfonso Lista had the highest number offood poor households in the province. Barangay Buwagin Aguinaldo recorded the highest incidence ofsubsistence at 90.7 percent (78 households), closelyfollowed by Barangay Nalbu in Mayoyao at 90.6 percent(58 cases).


103

Two in every 100 households experienced hunger due tofood shortageAround 2 percent of the households in the provincesuffered from hunger during the three-month period beforethe census. Hunger due to food shortage was mostprevalent in the Municipality of Mayoyao at 1.4 percent or46 cases. Next to Mayoyao was the Municipality of Lagawewith a proportion of 0.4 percent or 17 cases. Across all thebarangays, the highest proportion of households thatexperienced hunger due to food shortage was observed inBarangay Nalbu at 28.1 percent, followed by BarangayNattum at 13 percent.

Unemployment rate in the province was recorded at 5.2percentAbout 5.2 percent or 3,797 individuals of the 72,551members of the labor force aged 15 and above werereported to be unemployed. It appears that theunemployment rate was higher among females at 6.3percent than among males at 4.6 percent. Unemploymentwas most prevalent in Mayoyao where 13.2 percent or 398members of the labor force were unemployed during thereference period. This was followed by Alfonso Lista at 6.4percent or 718 cases, and Hingyon at 6.2 percent or 230cases. Across all barangays, Barangay Jacmal in Aguinaldorecorded the highest unemployment rate at 55.8 percent,followed by Barangay Mapawoy in Mayoyao at 48.5 percent,and Barangay Buninan, also in Mayoyao, at 38.4 percent.

PEACE AND ORDERAround 1 in every 1000 people were victims of crimeAround 0.1 percent of the population or 151 individuals in the Province of Ifugao were reported to be victims of crime.Alfonso Lista reported the highest number of crime victims with 42 cases, followed by Tinoc with 31 cases. At thebarangay level, Barangay Santo Domingo in Alfonso Lista recorded the highest proportion of crime victims at 1.6 percentor 23 cases. This was followed by Barangay Danggo in Tinoc at 1.2 percent.

CBMS COMPOSITE INDEXHouseholds in the Province of Ifugao suffered from two deprivations2 on the averageThe Province of Ifugao recorded a CBMS composite index (CCI) of 1.6, which means that households in the provincewere not able to meet the 13 basic needs and suffered from 2 deprivations, on the average. In particular, householdsin Aguinaldo, Tinoc, Banaue, Kiangan, Mayoyao, Hingyon, and Asipulo were not able to meet 2 of the 13 basic needs, onthe average. The highest incidence of deprivation was observed in barangays Halag, Chalalo, Banao, Pula, Ohaj, Jacmal,Butac, Nalbu, Bunhian, Dalligan, Ta-ang, Majlong, Wangwang, Hucab, Banga, Gumhang, Ducligan, Abinuan, and Balawis,with 3 unmet needs, on the average.


104



Based on the CBMS data, around 34.4 percent of all households are non-poorwhile 65.6 percent of households were poor in at least one dimension. Inparticular, about 36.3 percent or 15,299 households in the province werepoor in one dimension, while 21.6 percent or 9,093 households were poor intwo dimensions. Meanwhile, 6.6 percent or 2,790 households were poor inthree dimensions.

DIMENSIONS OF POVERTY IN IFUGAO

Number ofDimensions


Total 65.6

1234567

36.321.66.61.00.10.00.0

0.2 1.6

1.72.3

26.621.8

3.739.4

5.20.1

0.0

10.0

20.0

30.0

40.0

50.0

60.0Health Poor

Nutrition Poor

Housing Poor

Tenure Poor

Water Poor

SanitationPoor

Education Poor

Income Poor

Job Poor

Security Poor



105

The Many Faces of Poverty inthe Province of Ifugao

INDICATOR








Magnitude

42,1474

697956

11,213 9,208

22,744 16,598

101

Proportion

1.72.3

26.621.8

54.039.4

0.2


CBMS Core Indicators, Province of Ifugao, 2015-2016

ProportionMagnitude

3,36918,40622,49924,558 15,232 39,790

137,490 72,571

176,540

461

362

873 3,054 1,162

6.330.6

3.7

151 0.1

0.20.031.6

3,800 5.2

CBMS Composite Indicator, Province of Ifugao, 2015-2016


1.6

106


CBMS Core Indicators, by Municipality, Province of Ifugao, 2015-2016

Number ofchildren

(6-11 yearsold)


(6-11 years old)


(12-15 years old)


years old)

Number ofchildren

(6-15 yearsold)


(6-15 years old)

Municipality






Municipality


AGUINALDOALFONSO LISTAASIPULOBANAUEHINGYONHUNGDUANKIANGANLAGAWELAMUTMAYOYAOTINOC

95164

95141992089645312

22.20.31.22

6.20.62.31.21.60.4

246155518177

1004846517625

1,0281,412718

1,022634243635740

1,031808937

21.619.227.124.730.515.218.918.818.624.227.8

5.22.11.92.03.76.31.41.20.92.30.7

2,385750215

2,45924186

1,517750871296

1,643

50.010.28.1

59.511.65.4

45.119.015.78.9

48.7



years old)


(0-5 years old)


Numberof children

under 1year old


related causes

Totalpopulation



years old


4,7687,3612,6534,1302,0791,5973,3623,9395,5443,3413,373

18,62130,23413,16018,4498,9227,490

15,00016,33321,59112,07414,666

2,2533,0501,4461,862914778

1,5751,5362,0891,1761,727

2,7023,7471,7792,2681,132957

1,9551,8712,5461,4422,100

3077204230191928163249

1.12.11.11.92.72.01.01.50.62.22.3

66231425269

0.30.20.10.20.10.50.10.30.10.50.5

438488274364152147303255373235340

10000000000

0.20000000000


2,7374,4881,9532,4971,194988

1,9302,1682,9901,5752,038

2892451201605548

112112179118119

10.65.56.16.44.64.95.85.26.07.55.8

4,3606,9823,0944,1072,0381,6613,2203,6094,8582,6153,246

2621831671287056

1081099598

192

6.02.65.43.13.43.43.43.02.03.75.9

1,6232,4941,1411,610844673

1,2901,4411,8681,0401,208

686507516478279182461402459246451

42.320.345.229.733.127.035.727.924.623.737.3

CBMS Poverty Maps: Province of Ifugao


107




Municipality








3,4163,6961,5622,1981,205908

1,8391,8391,8942,0022,177

71.650.258.953.258.056.954.746.734.259.964.5

31210707177470

0.10.20.00

0.30

0.20.40.11.40

2,7792,7791,1021,597864580

1,3791,3781,0831,4681,581

58.337.841.538.741.636.341.035.019.543.946.9


8,17011,1896,0087,7513,7213,6216,3516,3907,9015,2066,263

43171896

445230124318309294689146

0.00.10.00.10.10.10.10.10.00.10.2

2.21.31.51.91.61.41.71.31.01.62.0

5.36.41.65.76.23.45.04.83.7

13.22.3

6425

15109995

1031


108




Municipality Barangay Magnitude Proportion

Bottom 10 Barangays

MAYOYAOLAGAWEHUNGDUANLAGAWETINOCMAYOYAOAGUINALDOTINOCHUNGDUANMAYOYAO

LiwoBurnayNungulunanPullaanGumhangChayaTa-angAp-apidMaggokMapawoy

2421422311

7.44.03.43.42.42.12.12.12.01.7



HUNGDUANMAYOYAOTINOCAGUINALDOLAGAWEALFONSO LISTABANAUEASIPULOHINGYONKIANGANLAMUT

46965632122

0.50.50.50.30.30.20.20.10.10.10.1


109





Bottom 1 Barangay

AGUINALDO Chalalo 1 2.4


AGUINALDOHUNGDUANMAYOYAOTINOCLAGAWEALFONSO LISTABANAUEASIPULOHINGYONKIANGANLAMUT

10000000000

0.20000000000

110






Bottom 10 Barangays

ALFONSO LISTAMAYOYAOHINGYONLAGAWEALFONSO LISTAMAYOYAOMAYOYAOTINOCMAYOYAOLAGAWE

San JuanBuninanUmalbongAbinuanDolowogMagulonMagaLuhongChumangLuta

345

117743

1252

20.512.812.411.58.48.28.17.76.05.9


HINGYONTINOCMAYOYAOALFONSO LISTAHUNGDUANBANAUELAGAWEAGUINALDOASIPULOKIANGANLAMUT

3049327719422830201916

2.72.32.22.12.01.91.51.11.11.00.6


111

Table 1. Health and Nutrition Indicators, by Barangay, Province of Ifugao, 2015-2016

AGUINALDO AwayanBunhianButacBuwagChalaloDamagGalonogonHalagItabJacmalMajlongMongayangPosnaanTa-angTaliteUbao

ALFONSO LISTA BangarBusilacCalimagCalupaanCaragasanDolowogKilingLayaLittle TadianNamillanganNamnamaNgilebPintoPoblacionSan JoseSan JuanSan MarcosSan QuintinSanta MariaSanto Domingo (Cabicalan)

21113519038

16313514924312311372

267254118123368

105204000001230

12

0.50

2.65.30

3.000000

0.40.82.50

3.3

17011115431

13311812420497

10161

22721195

104312

0010000000000212

00

0.60000000000

2.11.00.6

2519195

402920411320154939132962

0000100000000000

0000

2.400000000000

5218257671726825152

12120213610328021296

135104108444208

60232738720783

31461

139249162129336256117166144135550247

300007301230130

345159

5.00000

8.41.00

0.70.81.90

0.31.20

20.53.50.70.93.6

00000000010002020001

000000000

0.5000

0.90

1.5000

0.5

92194

3117307

233724154541271614176536

00000000000000000000

00000000000000000000


(0-5years old)


(0-5 years old)

Proportion




causes



ASIPULO AmduntogAntipoloCamandagCawayanHallapNamalNungawaPanubtubanPula

1648347713812317243

126120

21210758118214421251

141149

016416011

00.91.02.20.72.80

0.70.7

100000001

0.60000000

0.8

3024992420285

2123

000000000

000000000

BANAUE AmganadAnabaBalawisBanaoBangaanBatadBocosCambuloDucliganGohangKinakinOhajPoblacionPoitanPulaSan FernandoTam-anView Point

1855985506277

21311876747057

2261344847

155126

21269

103587391

26514393858774

2831645855

196159

212124370231932000

0.91.41.91.72.74.41.14.90

2.43.41.43.21.83.4000

001000000000200000

00

1.2000000000

0.900000

377

189

1315402016139

1146298

143623

000000000000000000

000000000000000000

112



HINGYON AnaoBangtinonBituCababuyanMompoliaNamulditanNorthern CababuyanO-ongPiwongPoblacion (Hingyon)UbuagUmalbong

HUNGDUAN AbatanBa-angBangbangBokiawanHapaoLubo-ongMaggokNungulunanPoblacion

21494857

1139175

16899922873

25666368142110982021221074089

03107303002

11

04.51.60

4.92.70

1.500

5.012.4

000001000000

00000

1.1000000

4115

101414133513144

15

000000000000

000000000000

99445882174945056

121

1255369962141167262150

310455100

2.41.90

4.22.34.31.400

000010120

0000

0.60

2.03.40

18148

152719111421

000000000

000000000


(0-5years old)


(0-5 years old)

Proportion




causes



LAGAWE AbinuanBangaBoliwongBurnayBuyabuyanCabaCudogDulaoJucbongLutaMontabiongOliliconPoblacion EastPoblacion NorthPoblacion SouthPoblacion WestPonghalPullaanTungngodTupaya

5330

235966594

158464030496287

11061

15229288136

613728011673115194594734636911313673186333410648

71830000022000010112

11.52.72.92.600000

5.93.20000

0.50

2.90.94.2

00040000000000000100

000

4.00000000000000

3.400

77

6214121826105158

148

102164

125

00000000000000000000

00000000000000000000

KIANGAN AmbabagBaguingeBokiawanBologDalliganDuitHucabJulonganLingayMungayangNagacadanPindonganPoblacionTuplac

6220535

19247

2031734325

14680

105125134

762683923453253219473318091137154171

00170410040110

00

2.63.00

1.60.500

2.20

0.70.60

00010000010000

000

0.500000

0.70000

8498

467

343664

3114211623

00000000000000

00000000000000


113


LAMUT AmbasaBimpalHapidHolowonLawigLucbanMabatobato (Lamut)MagulonNayonPanopdopanPayawanPiezaPoblacion EastPoblacion WestPugol (Ifugao Reservation)SalamagueSanafeUmilag

MAYOYAO AduyonganAlimitAyanganBalangbangBanaoBanhalBato-AlatbangBonganBuninanChayaChumangEpengGuinihonInwaloyLangayanLiwoMagaMagulonMapawoyMayoyao ProperMongolNalbuNattumPalaadPoblacionTalbocTulaed

7313117590

10880

11612710410713877

12016919477

10697

861652091131319413316012612217095147209230101130125

400210030001100301

4.700

1.80.800

1.9000

1.10.700

3.00

0.8

000000000000200000

000000000000

1.600000

131933202415162918161615202735191919

000000000000000000

000000000000000000

235617753057863932925943412224252938592427268120853432

3163219434671004939111835249282729374974293231100231074241

120010005151200034100140010

3.23.200

2.9000

12.80.96.01.94.1000

8.18.21.400

3.24.000

2.40

000000000200000200100000100

000000000

2.100000

7.400

1.700000

1.200

882

187

1117127

201537036398597

194

1476

000000000000000000000000000

000000000000000000000000000


(0-5years old)


(0-5 years old)

Proportion




causes



TINOC AhinAp-apidBinablayanDanggoEhebGumhangImpugongLuhongTinocTukucanTulludanWangwang

17314079

10484

16618312826017514293

21016599

12799

198221156332216169108

6001265

123572

2.900

0.82.03.02.37.70.92.34.11.9

030114000000

02.10

1.01.22.4000000

292916211041342657272822

000000000000

000000000000

114





HUNGDUANLAGAWEALFONSO LISTAHINGYONAGUINALDOMAYOYAOBANAUELAMUTKIANGANTINOCASIPULO

9989

164419553516420129

6.22.32.22.02.01.61.21.20.60.40.3


Bottom 10 Barangays

LAGAWEALFONSO LISTAMAYOYAOAGUINALDOHUNGDUANHUNGDUANHUNGDUANLAGAWEALFONSO LISTAKIANGAN

LutaCalupaanChumangHalagAbatanPoblacionLubo-ongPullaanPintoBokiawan

174432632529187

576

29.323.718.418.315.810.410.19.78.78.3



115




HUNGDUANAGUINALDOHINGYONMAYOYAOALFONSO LISTABANAUEASIPULOKIANGANLAGAWELAMUTTINOC

1002467776

155815148465125

6.35.23.72.32.12.01.91.41.20.90.7


Bottom 10 Barangays

AGUINALDOHINGYONHUNGDUANLAGAWEHUNGDUANMAYOYAOAGUINALDOMAYOYAOHINGYONALFONSO LISTA

HalagCababuyanLubo-ongBangaMaggokBuninanItabNalbuBangtinonSan Juan

17843461021142867

26

51.732.625.819.218.316.913.39.49.37.9


116






BANAUEAGUINALDOTINOCKIANGANLAGAWELAMUTHINGYONALFONSO LISTAMAYOYAOASIPULOHUNGDUAN

2,4592,3851,6431,51775087124175029621586

59.550.048.745.119.015.711.610.28.98.15.4


Bottom 10 Barangays

BANAUEBANAUEAGUINALDOAGUINALDOTINOCAGUINALDOKIANGANAGUINALDOBANAUEAGUINALDO

BangaanAnabaTa-angBunhianGumhangChalaloHucabButacOhajMongayang

159145183342303299314289151531

10010099.599.499.399.098.497.697.496.2


117





HINGYONTINOCASIPULOBANAUEMAYOYAOAGUINALDOALFONSO LISTAKIANGANLAGAWELAMUTHUNGDUAN

634937718

1,022808

1,0281,412635740

1,031243

30.527.827.124.724.221.619.218.918.818.615.2


Bottom 10 Barangays

MAYOYAOMAYOYAOMAYOYAOMAYOYAOASIPULOTINOCBANAUELAGAWEKIANGANMAYOYAO

PalaadLangayanLiwoNattumCawayanAhinKinakinAbinuanDalliganBongan

685347

159193207132774095

91.985.578.376.475.466.865.364.262.560.9

118


Table 2. Housing, Water and Sanitation Indicators, by Barangay, Province of Ifugao, 2015-2016








8621200

630001110

10

2.61.70.71.20.700

18.3000

0.20.20.50

1.6

41700000

178281090009

1.34.900000

51.713.30.50

1.6000

1.4

56342289

3299

07

1708

5213853114318328136

18.099.497.63.599.0

02.549.43.827.787.396.234.299.513.021.4

92599420

1813

37178526731221

236

29.617.231.823.359.91.2

13.451.724.835.61.90.20.51.10.537.0


123120000

0.30.90.40.40.80000

1616723637

4.10.40.82.70.81.15.61.53.2

393

462543174

2117

10.01.36.49.817.06.13.7

10.57.7

423

16919345141

66554

10.81.3

23.475.417.850.45.6

32.524.3


010

4413001

1385

577505482

00.20

23.70.31.800

0.42.42.71.88.71.41.90

1.61.10.80.5

1.40.70

1.100

0.62.30.82.900

6.30.80.47.97.20.62.50.2

227068

25936

610

333

19082

572987923

1.46.30

3.22.3

15.317.14.5

23.60

11.11.12.90

3.00.617.984.47.65.6

45004717132

228259825

10382

1301010

1491

9414310

2.811.6

025.348.319.641.918.838.04.5

34.630.019.82.03.7

45.30.3

26.613.72.4

230200332

16004141

26232

261


152

13520120012520001

4.21.47.94.11.30

0.20.900

0.51.31.00.7000

0.4

706310270011011740103

1.90

3.72.50.60

5.800

0.75.00.63.21.40

0.90

1.2

34214514911615989

28010

2064

1721511661501013811170

95.0100.090.995.1100.048.160.04.6

94.12.7

85.197.431.753.691.035.83.6

65.6

373243532780

135109630

132787040594

1347

10.322.126.243.417.043.228.950.528.8

065.350.313.414.353.23.84.2

18.1


119



12346

10113811

1.12.72.53.02.04.70.70.31.33.91.40.7

0724365204620

09.31.732.62.02.41.30

1.72.92.70

370

300

14104

122

1500

42.00

24.80

46.80

2.73.60.87.400

25413355

1045942

1531432571


251891

1808

29

15.80.97.35.20.3

10.10

6.610.4

00018

46213

21

000

0.62.325.818.32.57.5

1750

2012211010

10.84.60

11.63.4

11.88.70.80

477

16372036341531

29.76.5

14.521.45.6

20.229.612.311.1







28.454.727.341.734.627.828.045.85.9

15.76.847.3


00240

162221711958

101730

00

0.51.60

8.60.61.91.9

29.30.91.01.91.33.42.31.29.71.30

210520330035104530000

1.719.21.30.80

1.60.900

5.24.41.00

1.12.10.70000

2120

112150

424

2501

229

2937195810470

17.538.528.2603.6

12.878.90.9

21.415.525.438.10.22.42.11.81.20

20.80

7719

1915936383552318

323690306

194148

64.236.548.123.632.720.311.049.130.113.828.137.11.90

1.30

7.426.418.135.8


12600010110440

0.60.48.3000

0.30

1.60.40

1.61.10

074415500105

151

01.45.61.21.61.21.600

0.40

2.14.10.3

107255

8829

72314152

1283

20928924

67.351.411.124.914.117.498.414.63.247.11.8

86.079.67.9

19273

8140

1336519249735571124

11.95.44.2

24.662.532.220.418.438.735.721.523.53.07.9

120




132111212350

2086152

0.60.90.60.60.30.60.50.40.81.51.10

4.81.11.40.51.51.0

122271002246445270

0.60.60.61.22.30.600

0.81.00.93.51.00.61.10.92.00

121136113

0502

85345266205

12241

26169

72.942.832.5

01.60

0.533.513.826.714.411.71.21.75.40.57.6

88.0

551084879133424

1433710

126684

13168412040

33.134.013.849.44.2

20.05.7

56.315.05.127.639.81.01.837.818.85.8

20.8


0041110014

320000010200040200

00

3.40.41.60.600

1.21.7

18.400000

1.30

1.2000

1.90

1.000

021015701412810001111006132000

01.40.90

1.62.84.10

16.95.14.60.8000

1.71.31.20.600

9.46.22.7000

006100000100000

14290

152011

19171

540

00

5.20.400000

0.400000

23.337.2

092.1

00.91.69.1

23.00.5

70.10

3447

231752

953

37330

490

53470

4931181330

1596810183

412.96.09.8

26.62.81.2

60.93.6

15.819.0

045.8

085.578.3

058.318.819.611.946.976.491.94.8

23.43.3








111000302202

0.30.50.3000

0.90

0.40.40

1.0

311422406110

1.00.50.32.31.40.71.20

1.20.20.50

5700

158101303308814115540

129

18.400

91.970.699.389.341.880.311.519.267.2

20701

253670

1029556

2337537

66.80

0.314.525.223

29.649.010.948.536.119.3


121





AGUINALDOMAYOYAOBANAUEASIPULOLAMUTTINOCKIANGANALFONSO LISTALAGAWEHUNGDUANHINGYON

2891181601201791191122451124855

10.67.56.46.16.05.85.85.55.24.94.6


Bottom 10 Barangays

MAYOYAOMAYOYAOAGUINALDOBANAUEBANAUEAGUINALDOMAYOYAOBANAUEAGUINALDOAGUINALDO

NattumAlimitUbaoBangaanBanaoTa-angGuinihonAnabaMongayangTalite

179

64148

147

133711

19.319.115.314.914.013.313.013.012.512.0

122






Bottom 10 Barangays

AGUINALDOASIPULOMAYOYAOAGUINALDOBANAUEMAYOYAOASIPULOKIANGANASIPULOTINOC

BuwagNamalPalaadItabBanaoNattumCawayanBokiawanCamandagDanggo

26105155825325117

19238

78.869.568.266.765.860.457.356.754.453.5


ASIPULOAGUINALDOTINOCKIANGANHINGYONBANAUELAGAWEHUNGDUANLAMUTMAYOYAOALFONSO LISTA

516686451461279478402182459246507

45.242.337.335.733.129.727.927.024.623.720.3


123

Map 19. Proportion of Children 6-15 years old Not Attending School,by Municipality, 2015-2016

Map 20. Proportion of Children 6-15 years old Not Attending School,by Barangay, 2015-2016



AGUINALDOTINOCASIPULOMAYOYAOKIANGANHINGYONHUNGDUANBANAUELAGAWEALFONSO LISTALAMUT

26219216798

1087056

12810918395

6.05.95.43.73.43.43.43.13.02.62.0


Bottom 10 Barangays

MAYOYAOLAGAWETINOCMAYOYAOAGUINALDOAGUINALDOAGUINALDOLAGAWEAGUINALDOTINOC

NattumDulaoGumhangLangayanButacBuwagItabAbinuanChalaloTukucan

36173910329

21112324

25.513.813.210.910.59.89.49.29.08.8

124


Table 3. Education Indicators, by Barangay, Province of Ifugao, 2015-2016


11 years old)





(12-15 years old)


15 yearsold)






17714819559

1521251442241369975

29529210592419

1816147

1111161812105

3725141164

10.210.87.2

11.97.28.8

11.18.08.8

10.16.7

12.58.6

13.312.015.3

12063

11033

10485

101126875247

1991575347

239

52214726514132545820168069211682

43.333.342.778.849.048.231.742.966.738.534.040.243.939.634.034.3

29721130592

256210245350223151122494449158139658

156

329

231413202155

262993

32

5.12.810.59.89.06.75.35.79.43.34.15.36.55.72.24.9

892578511729274

31193175249166205410299172180207201640266

42284

117

2396

14122

18166

116

113520

4.58.69.43.43.89.57.49.73.45.67.21.04.45.43.56.12.95.55.57.5

35995073

15852

15847

10316799

12124315110475

121103375160

1128714329267162121325724171723228142

31.428.314.019.220.317.316.514.915.512.621.226.423.515.916.322.719.021.421.626.2

124 356 135 190 450 126 469 140 278 416 265 326 653 450 276 255 328 304

1,015 426

10202175

13568

104

18118497

2213

8.15.61.50.51.64.02.83.62.21.93.81.22.82.42.91.62.72.32.23.1


27114862717712824767

145143

13104714317448

4.86.87.57.92.36.96.02.85.6

15398

3538987151388488

5622

1925118

10552641

36.622.454.457.320.769.513.231.046.6

424246980266215398105229231

209

67205

3102

13

4.73.76.87.52.37.80

0.95.6


197100985794

109305161119999799

3341508149177171

101368

147

136

10373

28580

127

5.113.06.1

14.014.96.44.33.78.43.07.23.08.43.39.90

6.84.1

1575968385373

18411184697465174964834

122101

502114251820444727181818522121112528

31.835.620.665.834.027.423.942.332.126.124.327.729.921.943.832.420.527.7

3541591669514718248927220316817116450824612983

299272

736768

111414458

1947320

2.01.93.67.44.14.42.25.16.92.42.94.93.71.65.43.60.70


125




28536265

1541441181931421162990

01137114713512

01.91.64.64.57.63.43.69.24.33.42.2

272868501078265

156105721965

11142416392515522526923

40.750.035.332.036.430.523.133.323.836.147.435.4

5581

13011526122618334924718848

155

1454772

185548

1.84.93.83.52.73.11.15.22.02.78.35.2

1186968

1082181146072

161

10346

113047

8.54.35.95.65.02.60

5.64.3

64484183

158694951

110

271114203817161128

42.222.934.124.124.124.632.721.625.5

182117109191376183109123271

136453

11293

7.15.13.72.60.86.01.87.31.1


11 years old)





(12-15 years old)


15 yearsold)





7025

22613669

1382046848386769

159190114249524211787

42444

10601145

1597

230382

5.78.01.82.95.87.22.90

2.12.66.07.29.44.76.19.20

7.16.82.3

4923

169734875

135552619464099

13095

16638228746

218502224173026124205301825377112114

42.9 34.8 29.6 30.1 50.0 22.7 22.2 47.3 46.2 21.1 43.5 12.5 30.3 13.8 26.3 22.3 18.4 50.0 24.1 30.4

11948

3952091172133391237457

1131092583202094159064

204133

113

14952917117162641082

9.26.23.54.34.30.92.713.81.41.86.20.92.30.62.91.01.10

3.91.5


9727051

22335

2221875327

15992

129180205

6173

122

14112145

109

16

6.26.35.95.45.76.35.93.83.72.55.47.85.07.8

265117529654916124417303637

33.832.356.740.652.939.235.850.050.038.936.229.429.527.0

1744288135152

3883248551

272139231302342

875

231

15102155

114

11

4.61.66.26.61.93.93.12.42.01.83.64.81.33.2

7715830

12817

1661373224

11347

102122137

126





9121326014216598

19518112110223584

191283232124154119

11614151658960

166

191498

125

1.17.55.4

10.69.75.14.15.05.00

6.87.19.94.93.96.57.84.2

7711713567

10360

1481008952

15059

116208157708872

23263314281029213415468275941151119

29.922.224.420.927.216.719.621.038.228.830.713.623.328.426.121.412.526.4

168330395209268158343281210154385143307491389194242191

14

1675414

10151767556

0.61.24.13.31.92.50.31.44.80.61.30.72.31.21.82.62.13.1

274747973171755746

1258755545655224464873726238840976354

3906216045637561436231172565

11.119.1

06.26.51.48.00

8.74.06.95.5

13.08.9

10.94.59.14.76.95.4

11.54.3

19.35.05.29.59.3

263637782453453832666034442737233630352515175322664437

649148736320119614127861042332151593

23.111.124.317.933.313.26.7

15.89.4

30.318.326.513.651.932.430.422.220.028.616.013.317.660.468.222.720.58.1

53838417555

1241209578

19114789988392458094

12262414014162

16310791

23121220063640

103105000

363620

3.83.61.21.11.81.61.700

3.12.06.74.10

10.96.71.20

4.1000

25.54.83.71.90


11 years old)





(12-15 years old)


15 yearsold)





18413816314375

193236172292175135132

72

1924

11201410134

13

3.81.4

11.71.45.35.78.58.13.47.43.09.8

12470997142

103132106201989369

552336381655434156332827

44.432.936.453.538.153.432.638.727.933.730.139.1

308208262214117296368278493273228201

2415478

391516222499

7.87.21.53.36.813.24.15.84.58.83.94.5


127





Bottom 10 Barangays

MAYOYAOAGUINALDOKIANGANMAYOYAOKIANGANMAYOYAOLAGAWEAGUINALDOAGUINALDOMAYOYAO

NalbuBuwagDalliganAduyonganLingayBuninanPonghalJacmalMajlongBanhal

63836178587674

167137153

98.496.595.394.093.591.691.488.886.786.4


AGUINALDOTINOCMAYOYAOASIPULOHINGYONHUNGDUANKIANGANBANAUEALFONSO LISTALAGAWELAMUT

3,4162,1772,0021,5621,205908

1,8392,1983,6961,8391,894

71.664.559.958.958.056.954.753.250.246.734.2

128






AGUINALDOTINOCMAYOYAOHINGYONASIPULOKIANGANBANAUEALFONSO LISTAHUNGDUANLAGAWELAMUT

2,7791,5811,468864

1,1021,3791,5972,779580

1,3781,083

58.346.943.941.641.541.038.737.836.335.019.5


Bottom 10 Barangays

AGUINALDOMAYOYAOLAGAWEMAYOYAOKIANGANKIANGANAGUINALDOMAYOYAOHINGYONAGUINALDO

BuwagNalbuPonghalAduyonganDalliganLingayJacmalBalangbangBangtinonMajlong

785872735551

15418258

120

90.790.688.988.085.982.381.977.477.375.9


129





MAYOYAOLAGAWEHINGYONKIANGANALFONSO LISTAAGUINALDOLAMUTASIPULOTINOCBANAUEHUNGDUAN

471777

12371000

1.40.40.30.20.20.10.10.0000


Bottom 10 Barangays

MAYOYAOMAYOYAOLAGAWELAGAWEHINGYONLAGAWEAGUINALDOALFONSO LISTAMAYOYAOKIANGAN

NalbuNattumBangaBuyabuyanUmalbongTupayaBuwagSan JoseBalangbangBaguinge

182766731324

28.113.011.55.54.72.21.21.10.90.8

130





Table 4. Income Poverty and Hunger Indicators, by Barangay, Province of Ifugao, 2015-2016





23726424483

25518614428413716713734523114299

461

76.276.782.496.584.475.652.082.665.288.886.762.555.377.246.072.4

20423121778

22216196

25889

15412022615612455

388

65.667.273.390.773.565.434.775.042.481.975.940.937.367.425.660.9

0001000200000000

000

1.2000

0.600000000

8030285

116198853477214791

19621448348

133168100161504166

55.270.160.362.455.952.163.854.157.016.565.878.473.79.5

49.651.131.345.648.340.1

662416192

13459

261468240

15019541725

10314159

12139888

45.555.943.349.537.936.248.034.631.87.3

50.371.463.75.0

38.442.918.534.338.121.3

00101010100000300230

00

0.70

0.30

0.20

0.400000

1.100

0.60.30


1747354717489

21455

103133

44.732.675.968.035.276.450.951.559.9

11850

42311545

166374999

30.322.358.744.917.859.334.324.544.6

000001000

00000

0.4000


1868794

10396

1361861771458059

120160141917190176

51.760.057.384.460.473.539.881.966.254.129.277.430.550.482.067.029.268.0

1236468857510790

1631136122

1069698825457

133

34.244.141.569.747.257.819.375.551.641.210.968.418.335.073.950.918.551.4

000000000000000000

000000000000000000


131




42626177

16912711918877

12543

115

47.782.750.458.356.159.979.356.332.461.358.176.7

22583851978898

13354993294

25.077.331.438.632.241.565.339.822.748.543.262.7

000000000007

00000000000

4.7

1006878

119179857851

150

63.363.070.968.850.647.867.841.853.8

63373083

135506019

103

39.934.327.348.038.128.152.215.636.9

000000000

000000000







9738

2026485

1012228883379263

13940

1158874466699

80.873.150.925.677.354.070.083.080.663.880.764.929.610.748.320.291.463.929.273.9

8331

120237170

1917566258139

10325856372373286

69.259.630.29.2

64.537.460.370.864.143.171.140.222.06.7

35.714.588.951.414.264.2

06006000000000110003

011.5

00

5.5000000000

0.40.2000

2.2


6019561

20561

2952226558

16996117126117

37.739.384.762.395.371.469.663.193.562.158.948.134.738.5

3411451

14856

2281945252

13175789777

21.423.070.845.087.555.260.850.583.948.246.032.126.725.3

04010000001001

00.80

0.3000000

0.600

0.3

132










951201921161037681

1207646

16378

10586

12098

113106

57.237.755.272.533.744.719.147.230.823.635.745.625.112.127.045.032.955.2

6074

114976953236442187454563460586766

36.123.332.860.622.531.25.4

25.217.09.2

16.231.613.44.8

13.526.619.534.4

000000010000212010

0000000

0.40000

0.50.10.50

0.30

787985

19814

153779476

1381305741223038565189535063

1140

1175544

94.056.473.384.321.986.445.060.391.659.074.747.538.320.248.463.371.860.753.957.645.998.454.8

056.571.447.8

735171

1827

1265075618798272910717313366314058780

983230

88.036.461.277.410.971.229.248.173.537.256.322.527.19.2

11.328.339.739.340.033.736.790.637.5

047.341.632.6

000200000000000000000

18270000

000

0.900000000000000000

28.113.0

0000


21616918012597

201173116301277163159

69.776.861.672.767.865.950.159.858.857.778.482.8

1641351228974

12811267

215205127143

52.961.441.851.751.742.032.534.542.042.761.174.5

000000000000

000000000000


133





Bottom 10 Barangays

MAYOYAOAGUINALDOMAYOYAOMAYOYAOMAYOYAOMAYOYAOMAYOYAOALFONSO LISTAHINGYONKIANGAN

InwaloyJacmalPalaadChayaBalangbangAyanganMapawoyPintoNorthern CababuyanNagacadan

13619133

1421243335

1593844

62.455.848.538.437.321.219.616.315.714.7


MAYOYAOALFONSO LISTAHINGYONBANAUEAGUINALDOKIANGANLAGAWELAMUTHUNGDUANTINOCASIPULO

68971823044543131830929412414696

13.26.46.25.75.35.04.83.73.42.31.6

134


Map 30. Proportion of Persons who are Victims of Crime, by Barangay, 2015-2016

Map 29. Proportion of Persons who are Victims of Crime,by Municipality, 2015-2016



Bottom 9 Barangays

ALFONSO LISTATINOCTINOCMAYOYAOLAGAWETINOCMAYOYAOHINGYONHINGYON

Santo Domingo (Cabicalan)DanggoGumhangLangayanTupayaEhebPalaadNamulditanBitu

301112233142

1.61.20.90.70.60.50.40.40.4


TINOCMAYOYAOALFONSO LISTAHINGYONBANAUEKIANGANLAGAWEHUNGDUANAGUINALDOLAMUTASIPULO

3110421015999655

0.20.10.10.10.10.10.10.10.00.00.0


135

Table 5. Unemployment and Victims of Crime Indicators, by Barangay, Province of Ifugao,2015-2016








587 325 531 171 482 479 574 379 310 342 315 956 849 296 391

1,183

201862

199

252533

1914

1311171

37

2.47.11.21.04.31.55.05.18.0

60.71.71.11.13.40.52.3

1010000000001012

0.10

0.1000000000

0.10

0.10.1

194 599 225 291 693 389 818 118 338 785 517 281 976 859 397 394 394 535

1,611 775

11203231561

180

13452013

1593816501522

11345

5.73.3

14.210.78.10.32.20

3.85.73.94.6

16.34.44.0

12.73.84.17.05.8

110000001100010000730

0.20.1000000

0.10.0000

0.00000

0.21.6


911 523

1,612 574 493 722 249 394 530

25111258

106

127

2.72.10.70.91.61.42.43.01.3

000210101

000

0.20.10

0.20

0.1


657240334256241431916553375233371259933539203177543490

768

19251215456

102

15256424172

6119

11.63.35.79.85.03.54.91.12.70.94.09.76.94.58.41.1

11.23.9

502101100002110010

0.30

0.30.20

0.10.00000

0.30.00.100

0.10

136










182120235204477376242628431400162264

113948

183876133749

6.02.53.82.01.74.8

15.712.13.09.22.53.4

102104010010

0.30

0.40.20

0.40

0.100

0.30

417245320409749362224324571

11037

81145

12

0.24.10.91.7

10.80.31.81.52.1

200160000

0.200

0.10.30000


274878193677126814498200146529299626460631

13395

891

447

183

104450

40

4.74.42.6

13.10.85.41.49.02.11.9

14.70.80

6.3

11000410000101

0.10.0000

0.20.10000

0.10

0.1

KIANGAN AbinuanBangaBoliwongBurnayBuyabuyanCabaCudogDulaoJucbongLutaMontabiongOliliconPoblacion EastPoblacion NorthPoblacion SouthPoblacion WestPonghalPullaanTungngodTupaya

282120580456262393469178218115208180568535304634147159408174

04

1934111118787

193

1326134026

4919

03.33.37.54.22.83.83.93.76.19.11.72.34.94.36.31.43.8

12.010.9

00100120000010000103

00

0.100

0.10.100000

0.10000

0.30

0.6


137









272400512142419268540520383359594280523956654258426395

19159

15161219327

216

1628312175

15

7.03.81.8

10.63.84.53.56.21.85.81.05.75.43.23.22.71.23.8

001010001000100010

00

0.10

0.1000

0.1000

0.1000

0.10

13518115633212017025121911237028025414021815010615115117910322313034168

320136210

84

33124

316114

14238109

1367187

356122

33355

18

5.92.2

21.237.32.59.40.40.53.6

38.413.63.96.4

62.44.70.95.34.6

19.65.80.41.50.6

48.510.93.78.6

000000001300102000000001101

00000000

0.30.300

0.30

0.700000000

0.40.10

0.2


457 381 198 448 279 644 685 542

1,070 715 503 341

247

20098

304

2523

14

5.31.8

10.10

3.21.24.40.72.30.30.64.1

00011312202001

000

1.20.50.90.10

0.100

0.1

138





AverageMunicipality

AGUINALDOTINOCBANAUEKIANGANMAYOYAOHINGYONASIPULOHUNGDUANALFONSO LISTALAGAWELAMUT

2.22.01.91.71.61.61.51.41.31.31.0


Bottom 9 Barangays

AGUINALDOAGUINALDOBANAUEBANAUEBANAUEAGUINALDOAGUINALDOMAYOYAOAGUINALDO

HalagChalaloBanaoPulaOhajJacmalButacNalbuBunhian

3.43.33.23.23.23.03.02.82.7


139

Table 6. CBMS Composite Indicator, by Barangay, Province of Ifugao, 2015-2016

BarangayMunicipality CBMS Composite Indicator

Barangay CBMS Composite Indicator

Municipality


BangarBusilacCalimagCalupaanCaragasanDolowogKilingLayaLittle TadianNamillanganNamnamaNgilebPintoPoblacionSan JoseSan JuanSan MarcosSan QuintinSanta MariaSanto Domingo (Cabicalan)

ALFONSO LISTA



2.0 2.7 3.0 2.3 3.3 1.5 1.2 3.4 1.7 3.0 2.6 2.1 1.4 2.6 0.9 2.1

1.2 1.5 1.3 1.8 1.6 1.3 1.8 1.2 1.6 0.4 1.7 1.9 2.0 0.3 1.1 1.7 0.9 2.0 1.2 0.9

1.6 2.4 1.5 1.8 1.8 1.5 2.0 1.7 0.7 1.6 1.3 2.1

1.7 1.3 1.3 1.6 1.3 1.5 1.8 0.9 1.3


1.5 1.3 2.0 1.9 2.6 1.9 2.6 1.6 2.3 2.0 1.5 2.0 1.5 0.9

AmduntogAntipoloCamandagCawayanHallapNamalNungawaPanubtubanPula

ASIPULO 1.1 0.7 1.8 2.1 0.9 2.1 1.1 1.3 1.5

AmganadAnabaBalawisBanaoBangaanBatadBocosCambuloDucliganGohangKinakinOhajPoblacionPoitanPulaSan FernandoTam-anView Point

BANAUE 2.2 2.4 2.5 3.2 2.4 2.4 1.7 2.3 2.5 1.0 2.1 3.2 1.1 1.7 3.2 1.6 0.7 2.1

LAGAWE AbinuanBangaBoliwongBurnayBuyabuyanCabaCudogDulaoJucbongLutaMontabiongOliliconPoblacion EastPoblacion NorthPoblacion South

2.5 2.5 1.7 1.4 2.0 1.4 2.3 2.3 2.1 1.9 2.4 1.9 0.6 0.3 1.0

140


Table 6. CBMS Composite Indicator, by Barangay, Province of Ifugao, 2015-2016

BarangayMunicipality CBMS CompositeIndicator


AduyonganAlimitAyanganBalangbangBanaoBanhalBato-AlatbangBonganBuninanChayaChumangEpengGuinihonInwaloyLangayanLiwoMagaMagulonMapawoyMayoyao ProperMongolNalbuNattumPalaadPoblacionTalbocTulaed

MAYOYAO

2.1 1.4 1.4 2.0 0.7 1.1 0.4 1.8 0.9 0.8 1.0 1.4 0.6 0.3 0.9 1.0 0.7 2.1

2.31.01.72.20.71.70.81.72.01.72.00.81.31.01.72.11.61.72.31.21.02.82.21.61.32.21.0

AhinAp-apidBinablayanDanggoEhebGumhangImpugongLuhongTinocTukucanTulludanWangwang

TINOC 2.2 1.5 1.1 2.4 2.3 2.5 2.2 2.0 2.0 1.7 2.0 2.6

Poblacion WestPonghalPullaanTungngodTupaya

0.5 1.9 1.6 1.0 1.9

LAGAWE

Republic of the PhilippinesProvince of OCCIDENTAL MINDORO

Message

MARIO GENE MENDIOLA Governor

Living today in an era where demands and expectations for the delivery ofpublic services are high, local government’s most efficient tool is the use of thelatest technologies of our time.

The Community–Based Monitoring System (CBMS) has proven its worth bymaking available and accurate disaggregated data that aids us, executives, in thelocal government units to veer our administration to the right path in planning andmanaging programs and projects for development.

Occidental Mindoro is now privileged to avail of the limitless e-informationprovided by the CBMS Network as that of the accurate frame of poverty in ourprovince guiding us in addressing the actual plight of our less privilege constituentsand providing appropriate responses to alleviate their primary concerns anddifficulties.

I would like to congratulate the CBMS Network and all those behind thepublication of the 9th Volume of “The Many Faces of Poverty” and the inclusion ofthe municipalities of Calintaan, Looc, Lubang, Mamburao, Rizal, Sablayan and Sta.Cruz to this data box information system.

God bless.

MAYORS OF OCCIDENTAL MINDORO

ERIC LABRADORMunicipality of Calintaan

BENJAMIN TRIAMunicipality of Looc

ELEONOR FAJARDOMunicipality of Magsaysay

ROBERTO SANCHEZMunicipality of Lubang

ANGELINA TRIAMunicipality of Mamburao

JESUS VALDEZ, SR.Municipality of Rizal

EDUARDO GADIANOMunicipality of Sablayan

MERIAM QUIJANOMunicipality of Santa Cruz

MAYORS OF OCCIDENTAL MINDORO

144


The Many Faces of Poverty in theProvince of Occidental Mindoro

Occidental Mindoro had a total population of 216,186 covering 53,645 householdsThe CBMS census conducted from 2015 to 2017 covered 7 municipalities in the province, namely, Calintaan, Looc,Lubang, Mamburao, Rizal, Sablayan, and Santa Cruz, with 91 barangays. Of the 216,186 locals, 51.3 percent are male,while 48.7 percent are female. The Municipality of Sablayan has the largest population with 72,194 members (or 30%)in 17,887 households, followed by Mamburao with 51,645 members (or 21.5%) in 12,611 households.

HEALTH AND NUTRITIONTwo in every 1000 children under five years old diedAbout 0.2 percent of children under five years old died duringthe reference period. This is equivalent to 52 child deaths inthe province. The proportion of child deaths among boys washigher than girls, at 0.3 percent and 0.2 percent, respectively.The highest proportion of child deaths was reported in theMunicipality of Looc at 0.8 percent, followed by theMunicipality of Calintaan at 0.4 percent. Meanwhile, theMunicipality of Sablayan ranked first in terms of magnitudewith 16 cases of child deaths. Across all the barangays,Barangay Araw at Bituin in Lubang registered the highestproportion of child deaths at 3.1 percent. This was followed byBarangay Bonbon in Looc and Barangay Tanyag in Calintaan,at 2.4 percent and 1.7 percent, respectively.

The 2015-2017 CBMS Census covers 7 municipalities in the Province of Occidental Mindoro, namely, Calintaan, Looc, Lubang,Mamburao, Rizal, Sablayan, and Santa Cruz.

POPULATION


145

One in every 1000 pregnant women died due to pregnancy-related causesAccording to the results of the CBMS census, 3 cases of pregnant women aged 15-49 died due to pregnancy-relatedcauses during the reference period. These cases were reported in 3 barangays, namely, Pitogo, Pag-Asa, and GeneralEmilio Aguinaldo.

Around 3 in every 1000 children zero to five years old weremalnourishedAround 2.5 percent or 729 children zero to five years oldwere classified as moderately or severely underweight in theProvince of Occidental Mindoro. In particular, 370 boys and359 girls zero to five years old were considered malnourished.Malnutrition prevalence among girls was higher than boys, at2.6 percent and 2.5 percent, respectively. The highestprevalence of malnutrition was observed in Looc at 8 percent,followed by Lubang at 4.4 percent. On the other hand,Sablayan ranked first in terms of magnitude with 291 casesof malnourished children. Barangay Kurtinganan in Santa Cruzreported the highest proportion of malnourished children at18.3 percent (38 cases), followed by Barangay Ambil in Loocat 16.6 percent (32 cases).

HOUSINGAbout 1.6 percent of households were living in makeshift housing while 3.2 percent were informal settlersThe 2015-2017 CBMS data showed that 2 in every 100 households in the province were living in makeshift housing.First in terms of proportion was the Municipality of Calintaan, with about 4 percent or 237 households living in makeshifthousing. Second was Looc at 2.7 percent or 59 households, while third was Rizal at 2.4 percent or 182 households. Atthe barangay level, Barangay Concepcion in Calintaan had the highest proportion of households living in makeshifthousing at 14.3 percent (130 households), followed by Barangay Bonbon in Looc at 12.7 percent (33 households).

In terms of tenure status, 1,699 households or 3 in every 100 households in the province were considered informalsettlers. The highest proportion of informal settlers was observed in the Municipality of Looc at 7.4 percent (159households). This was followed by the Municipality of Santa Cruz at 5.4 percent (457 households). Meanwhile, theMunicipality of Santa Cruz has the highest number of informal settlers across all municipalities. At the barangay level,the highest proportion of informal settlers was observed in Barangay Casague in Santa Cruz at 21.1 percent (128households), while the second highest in terms of proportion was Barangay Kanluran in Looc at 18.2 percent (24households).

146


WATER AND SANITATIONAbout 9.4 percent of the households do not have access to safe water supply and about 8.2 percent do not have accessto sanitary toilet facilitiesBased on the results of the CBMS census, 9 in every 100 households in Occidental Mindoro had no access to safe watersupply. The Municipality of Lubang had the worst condition in terms of water accessibility as 39.2 percent of its householdswere reported to have no access to safe water supply during the reference period. This was followed by Calintaan at11.5 percent. In terms of magnitude, Lubang also ranked first with 1,952 cases. All 148 households in BarangayBulacan in Looc had no access to safe water supply. Of the 91 barangays, 5 can be considered “waterless”1.

On the other hand, 8.2 percent of the households do not have access to sanitary toilet facilities. This means that around8 in every 100 households in the province lacked access to sanitary toilet facilities. The Municipality of Calintaanreported the highest proportion of sanitation poor households at 11.7 percent or 691 households, followed by Mamburaoat 11.2 percent or 1,414 households. Meanwhile, at the barangay level, the highest proportion of sanitation poorhouseholds was observed in Barangay Malpalon at 37.1 percent (155 cases), followed by Barangay Lumangbayan at34.3 percent (267 cases).



147

BASIC EDUCATIONAbout 5 in every 100 children 6 to 15 years old were notattending schoolThe proportion of out-of-school children 6-15 years old was5.1 percent. Regardless of education level, 5 in every 100children 6-15 years old were not attending school. Resultsrevealed that 10.3 percent of children 6-11 years old werenot attending elementary school, while 33.8 percent ofchildren 12-15 years old were not attending high school.Results also showed that the proportion of out-of-schoolchildren among boys (6.1%) was higher compared to girls(3.9%). Out of 7 municipalities, Santa Cruz had the highestproportion of out-of-school children 6-15 years old at 7.6percent. Sablayan was second highest at 5.8 percent, followedby Rizal at 5.7 percent. Sablayan ranked first in terms ofmagnitude, with 1,008 cases observed.

INCOME AND LIVELIHOODAbout 59 in every 100 households were living below thepoverty thresholdMore than half or 58.6 percent of the households in theprovince were considered income poor, which means thataround 59 in every 100 households have no sufficientincome to satisfy their basic food and non-food needs.Among 7 municipalities, only Mamburao had an incomepoverty rate below 50 percent. Rizal had the highestproportion of households living below poverty thresholdat 77.5 percent, followed by Calintaan at 71.3 percent.Across all barangays in the province, the highest proportionof income poor households was observed in BarangayManoot at 86.5 percent (895 cases). This was followedby Barangay Aguas at 86.1 percent (570 cases).

Around 45 in every 100 households had no sufficientincome to satisfy their food needsAccording to the CBMS data, 45.2 percent of thehouseholds in Occidental Mindoro were living below thefood threshold. Subsistence incidence was most prevalentin the Municipality of Rizal at 67.7 percent (5,129households). This was followed by the Municipality ofCalintaan at 62 percent (3,670 households). At thebarangay level, Barangay New Dagupan in Calintaanrecorded the highest incidence of subsistence at 79.9percent, followed by Barangay Manoot in Rizal at 78.6percent.

148


One in every 100 households experienced hunger dueto food shortageAround 1 percent of the households in the provincesuffered from hunger during the three-month periodbefore the census. Hunger due to food shortage wasmost prevalent in the municipality of Calintaan at 8.3percent or 491 cases. Next to Calintaan was Rizal at2.1 percent or 161 cases. Across all the barangays, thehighest proportion of households that experiencedhunger due to food shortage was observed in BarangaySalvacion at 24 percent, followed by Barangay NewDagupan at 14.4 percent, and Barangay Malpalon at13.9 percent.

Unemployment rate in the province was recorded at 6.6 percentAbout 6.6 percent or 4,754 individuals of the 71,760 membersof the labor force aged 15 and above were reported to beunemployed. It appears that the unemployment rate was higheramong females at 8.3 percent than among males at 6 percent.Unemployment was most prevalent in Calintaan where 11.5percent or 889 members of the labor force were unemployedduring the reference period. This was followed by Rizal at 10percent or 924 cases, and Santa Cruz at 9.3 percent or 983cases. Meanwile, Sablayan ranked first in terms of magnitudewith 1,471 unemployed individuals in the municipality. Acrossall barangays, Barangay San Pedro in Rizal recorded the highestunemployment rate in the province at 30 percent (205 cases),followed by Barangay Balikyas in Looc at 25.8 percent (31cases).

PEACE AND ORDERAround 4 in every 10000 people were victims of crimeCBMS results show that around 0.04 percent of the population or 87 individuals in the Province of Occidental Mindorowere reported to be victims of crime. Sablayan reported the highest number of crime victims with 45 cases, followed byRizal with 19 cases. At the barangay level, Barangay Buenavista in Sablayan had the highest number of crime victimswith 10 cases, followed by Barangay Batong Buhay, also in Sablayan, with 9 cases.

CBMS COMPOSITE INDEXHouseholds in the Province of Occidental Mindoro suffered from one deprivation2 on the averageThe province of Occidental Mindoro recorded a CBMS composite index (CCI) of 1.4, which means that households in theprovince were not able to meet the 13 basic needs and suffered from one deprivations, on the average. In particular,households in Calintaan, Rizal, Lubang, and Santa Cruz were not able to meet 2 of the 13 basic needs, on the average.Further disaggregated data show that the highest incidence of deprivation was observed in Barangay Malpalon inCalintaan and Barangay Alacaak in Santa Cruz, both with 3 unmet needs, on the average.



149



DIMENSIONS OF POVERTY IN OCCIDENTAL MINDORO

Number ofDimensions


Total 58.5

1234567

39.913.83.70.90.10.00.0

0.2 2.5

1.63.2

9.48.2

5.145.2

6.6 0.00.0

10.0

20.0

30.0

40.0

50.0

60.0Health Poor

Nutrition Poor

Housing Poor

Tenure Poor

Water Poor

SanitationPoor

Education Poor

Income Poor

Job Poor

Security Poor


150



151

The Many Faces of Poverty inthe Province of Occidental Mindoro

INDICATOR








Magnitude

53,6454

881 1,699

5,033 4,386

31,413 24,261

529

Proportion

1.63.2

9.48.2

58.645.2

1.0


CBMS Core Indicators, Province of Occidental Mindoro, 2015-2017

ProportionMagnitude

4,174 23,675 28,848 31,122 19,411 50,533

166,319 71,760

216,186

52 3

729

3,2066,570

2,553

10.333.8

5.1

87 0.04

0.20.12.5

4,754 6.6

CBMS Composite Indicator, Province of Occidental Mindoro, 2015-2017


1.4

152


CBMS Core Indicators, by Municipality, Province of Occidental Mindoro, 2015-2017

Number ofchildren

(6-11 yearsold)


(6-11 years old)


(12-15 years old)


years old)

Number ofchildren

(6-15 yearsold)


(6-15 years old)

Municipality






Municipality


CALINTAANLOOCLUBANGMAMBURAORIZALSABLAYANSANTA CRUZ

2375970

15918235952

4.02.71.41.32.42.00.6

15115960

339150534457

691212108

1,414568

1,153931

11.79.92.2

11.27.56.4

11.0

2.67.41.22.72.03.05.4

681158

1,952591630

1,128574

11.57.4

39.24.78.36.36.8



years old)


(0-5 years old)


Numberof children

under 1year old


related causes

Totalpopulation



years old


5,9162,1494,975

12,6117,576

17,8878,447

24,0829,002

19,23951,64532,90072,19431,206

2,817647

1,4145,8603,8338,5643,357

3,369813

1,7717,0704,662

10,3914,141

74657843

127291125

2.28.04.40.62.72.83.0

1254

1110166

0.40.80.30.20.30.20.2

591107275

1123729

1363577

0000120

0000

0.10.10


3,4511,1602,3077,0975,096

10,9464,516

32763107756551

1,170559

9.55.44.6

10.710.810.712.4

5,7791,9613,976

11,5458,324

17,4897,238

2326358

405471

1,008548

4.03.21.53.55.75.87.6

2,328801

1,6694,4483,2286,5432,722

833193259

1,4511,3642,463840

35.824.115.532.642.337.630.9




Municipality








4,2181,1093,1695,2295,874

10,1025,930

71.351.663.741.577.556.570.2

49144

8816119676

8.30.20.10.72.11.10.9

3,670789

2,5883,4325,1297,5204,803

62.036.752.027.267.742.056.9


7,7233,0886,491

18,7209,254

23,69210,515

8892845375559241,471983

0.10.00.00.00.10.10.0

1.91.31.71.01.81.31.7

11.59.28.33.0

10.06.29.3

18149

19459

CBMS Poverty Maps: Province of Occidental Mindoro


153





Bottom 10 Barangays

LUBANGLOOCCALINTAANLOOCLOOCSANTA CRUZRIZALSANTA CRUZLUBANGRIZAL

Araw At Bituin (Pob.)Bonbon (Pob.)TanyagTalaotaoAgkawayanPoblacion I (Barangay 1)SalvacionSan VicenteCabraMagsikap

1262123213

3.12.41.71.41.41.21.20.90.90.7


LOOCCALINTAANLUBANGRIZALMAMBURAOSABLAYANSANTA CRUZ

5124

1011166

0.80.40.30.30.20.20.2

154






Bottom 3 Barangays

RIZALSABLAYANSABLAYAN

PitogoPag-AsaGeneral Emilio Aguinaldo

111

2.72.62.2


RIZALSABLAYANLOOCCALINTAANLUBANGMAMBURAOSANTA CRUZ

1200000

0.10.100000


155





Bottom 10 Barangays

SANTA CRUZLOOCRIZALLOOCLUBANGLUBANGCALINTAANSABLAYANLOOCLOOC

KurtingananAmbilMagsikapBonbon (Pob.)TilikMaginhawa (Pob.)MalpalonVictoriaGuitna (Pob.)Kanluran (Pob.)

38326611216

251233

18.316.613.010.99.88.58.27.77.57.0


LOOCLUBANGSANTA CRUZSABLAYANRIZALCALINTAANMAMBURAO

6578

1252911277443

8.04.43.02.82.72.20.6

156


Table 1. Health and Nutrition Indicators, by Barangay, Province of Occidental Mindoro, 2015-2017

CALINTAAN ConcepcionIrironMalpalonNew DagupanPoblacionPoypoyTanyag

LOOC AgkawayanAmbilBalikyasBonbon (Pob.)BulacanBurolGuitna (Pob.)Kanluran (Pob.)Talaotao

540365306568771396423

82

250

191

19

1.50.58.20

2.50.34.5

450302253473654337348

2000406

0.4000

0.60

1.7

997142

1081247275

0000000

0000000

72151288344603437

138

9719334

10153814043171

4320

1121339

4.116.6

010.93.81.27.57.05.3

100200002

1.400

2.40000

1.4

10306

145554

28

000000000

000000000


(0-5years old)


(0-5 years old)

Proportion




causes



LUBANG Araw At Bituin (Pob.)Bagong Sikat (Pob.)Banaag At Pag-Asa (Pob.)BinakasCabraLikas Ng Silangan (Pob.)Maginhawa (Pob.)MaligayaMaliigNinikat Ng Pag-Asa (Pob.)Paraiso (Pob.)Surville (Pob.)TagbacTangalTilikVigo

31253048

106535453

230271617

209194175146

39313165

137647161

275352219

270251215185

200052604211

149

2111

5.1000

3.63.18.50

1.55.74.55.35.23.69.85.9

1000100010001000

3.1000

0.9000

0.4000

0.5000

5539

19128

1444676

37254035

0000000000000000

0000000000000000

MAMBURAO BalansayFatima (Tii)PayomponPoblacion 1 (Barangay 1)Poblacion 2 (Barangay 2)Poblacion 3 (Barangay 3)Poblacion 4 (Barangay 4)Poblacion 5 (Barangay 5)Poblacion 6 (Barangay 6)Poblacion 7 (Barangay 7)Poblacion 8 (Barangay 8)San Luis (Ligang)TalabaanTangkalanTayamaan

960257

1,43040

42124915990

38418690

280373

1,175

1,153310

1,74546

50233

10967

112467223113330461

1,399

211

12010001400012

1.80.30.70

0.2000

0.90.9000

0.20.1

401010000100004

0.40

0.10

0.20000

0.30000

0.3

19143

27710853

2018147937134571

217

000000000000000

000000000000000


157

Table 1. Health and Nutrition Indicators, by Barangay, Province of Occidental Mindoro, 2015-2017

RIZAL AdelaAguasMagsikapMalawaanManootPitogoRizalRumbangSalvacionSan PedroSanto Niño

404366506688690261381374312332348

219669310548

10

0.55.2

13.01.30.40.40

1.31.32.42.9

342289412565576217309312252270289

02310010300

00.70.70.200

0.30

1.200

753886

103105364855626556

00000100000

00000

2.700000


(0-5years old)


(0-5 years old)

Proportion




causes



years old

SABLAYAN Batong BuhayBuenavistaBurgosClaudio SalgadoGeneral Emilio AguinaldoIbudIlvitaLagnasLigayaMalisbongPaetanPag-AsaPoblacion (Lumangbayan)San AgustinSan FranciscoSan NicolasSan VicenteSanta LuciaSanto NiñoTagumpayTubanVictoria

656972263403321201226179503183311354742211332283543499606288366122

7771,175329499379240281207639228367450891249403339667612738344422155

3455140

221600

19626

231020161114704

12

4.44.74.30

5.86.700

3.02.60.51.32.64.05.04.71.62.30.90

0.97.7

3400100001000011003020

0.50.400

0.30000

0.50000

0.30.400

0.50

0.50

13518545414538312444355937

1612240485959

103547820

0000100000010000000000

0000

2.2000000

2.60000000000

SANTA CRUZ AlacaakBarahanCasagueDayapKurtingananLumangbayanMulawinPinagturilan (San Pedro)Poblacion I (Barangay 1)Poblacion II (Barangay 2)San Vicente

320585208257176348289589169198218

378729274320208424361735196259257

11709

381021991

10

0.32.30

2.818.32.45.81.24.60.43.9

00000110202

00000

0.30.30

1.20

0.9

6497423130406089374146

00000000000

00000000000

158





Bottom 10 Barangays

CALINTAANLOOCRIZALSABLAYANCALINTAANLUBANGSABLAYANSABLAYANSABLAYANSANTA CRUZ

ConcepcionBonbon (Pob.)Santo NiñoSanta LuciaMalpalonTilikMalisbongBatong BuhayBuenavistaSan Vicente

130336361242915396915

14.312.79.16.25.75.44.44.13.53.3


CALINTAANLOOCRIZALSABLAYANLUBANGMAMBURAOSANTA CRUZ

23759

18235970

15952

4.02.72.42.01.41.30.6



159





SANTA CRUZLOOCLOOCSANTA CRUZSANTA CRUZLOOCSABLAYANLOOCSABLAYANSANTA CRUZ

CasagueKanluran (Pob.)AmbilAlacaakDayapBalikyasPag-AsaBonbon (Pob.)LagnasLumangbayan

1282456808017

117293656

21.118.213.913.412.812.111.911.29.37.2


LOOCSANTA CRUZSABLAYANMAMBURAOCALINTAANRIZALLUBANG

15945753433915115060

7.45.43.02.72.62.01.2

160





Bottom 10 Barangays

LOOCLUBANGLUBANGLUBANGLUBANGLUBANGSANTA CRUZLUBANGLUBANGSABLAYAN

BulacanCabraTagbacParaiso (Pob.)MaliigAraw At Bituin (Pob.)AlacaakBagong Sikat (Pob.)Banaag At Pag-Asa (Pob.)Batong Buhay

14845263176

32657

2513639

275

100.098.783.971.056.747.942.039.133.628.6


LUBANGCALINTAANRIZALLOOCSANTA CRUZSABLAYANMAMBURAO

1,952681630158574

1,128591

39.211.58.37.46.86.34.7



161





CALINTAANSANTA CRUZSANTA CRUZRIZALCALINTAANSABLAYANLOOCSANTA CRUZMAMBURAOSABLAYAN

MalpalonLumangbayanAlacaakManootPoypoyBatong BuhayTalaotaoPoblacion I (Barangay 1)TayamaanSan Agustin

1552671802981722468788

47280

37.134.330.228.826.525.624.623.923.621.2


CALINTAANMAMBURAOSANTA CRUZLOOCRIZALSABLAYANLUBANG

6911414931212568

1153108

11.711.211.09.97.56.42.2

162


Table 2. Housing, Water and Sanitation Indicators, by Barangay,Province of Occidental Mindoro, 2015-2017







1307

2413439

11

14.30.95.71.33.01.41.5

249

1629594

10

2.61.23.82.84.20.61.3

425

1003

39510630

4.60.723.90.327.916.44.0

6177

1551135717256

6.710.337.111.04.0

26.57.4

338

272

222422

1143

128

19

1.92.00.71.52.52.21.20.90.81.30.91.52.41.30.9

6425648

253662

191026

1188

3.76.31.66.12.83.31.82.80.82.22.21.01.21.84.4

22752211922022

12155443149

13.013.10.50.81.02.20.60

0.80.22.67.4

10.86.97.4

35359

1272

5704

10265929309096472

20.114.93.21.56.40

1.24.7

10.16.96.3

14.818.115.423.6

02102012

1022096

294

02.20.90

0.40

0.41.01.71.61.90

1.20.85.40.9

40315140

152026665

3.40

2.60.41.10.61.60

2.61.60

6.90.80.81.11.1

5736390

45206611

32610762

631189

453

47.939.133.6

098.7

026.15.5

56.77.9

71.06.9

83.926.20.7

11.5

00111054

18000

22141428

00

0.90.40.20

2.02.03.1000

2.91.92.66.1





594

3300233

1.42.22.812.7

00

1.42.30.8

26561729203

242

7.113.912.111.21.40

2.118.20.6

0406

1480000

01.00

2.3100.0

0000

6831

310004

87

1.620.50.711.9

000

3.024.6


163

Table 2. Housing, Water and Sanitation Indicators, by Barangay,Province of Occidental Mindoro, 2015-2017







6575229

29825642

14138

0.88.67.82.9

28.84.99.90.32.92.51.2

197171614162

106

1263

2.51.12.51.61.43.10.31.71.32.39.1

149

24214

122211166

11

1.81.43.62.10.42.43.41.83.31.21.6

191234023176647496186

25.03.56.02.317.01.27.38.1

12.71.50.9

3969901301

18153

222712126

326123051

24667956

3100

797734

169238046

4487250

1043

25.63.4

18.40.75.800

20.45.00.90.617.21.4

21.20.61.53.68.81.80

17.40.9

4.13.51.70

0.20.70

0.31.24.40.52.21.73.21.81.52.66.21.70

0.80.3

8117542903620113911747311927103601310

0.86.01.00.50.42.00

9.31.33.26.1

11.92.90.81.62.22.21.02.60

2.23.1

27580733400

3511727

265267870

6330512

100

28.64.1

14.10.30.700

9.07.70.61.127.01.6

20.61.00

5.13.03.70.41.70

3624332

1130

15

180155344

44267

2118880

39

30.29.35.60.6

14.934.30.27.0

23.90

8.6

0.50.40.30.61.00.40.20.60.80

3.3

8022

12880656232510234

13.41.3

21.112.82.07.22.91.52.74.10.9

2512011730

1310

348613

42.01.20.22.7

10.116.8

02.0

23.40.20.7




164






SABLAYANSANTA CRUZSABLAYANSANTA CRUZSANTA CRUZRIZALRIZALCALINTAANSABLAYANSABLAYAN

Pag-AsaLumangbayanSan AgustinPinagturilan (San Pedro)CasagueRizalManootMalpalonLagnasPaetan

23510354

1694875

129503551

42.022.220.019.017.116.916.616.315.014.7


SANTA CRUZRIZALMAMBURAOSABLAYANCALINTAANLOOCLUBANG

559551756

1,17032763

107

12.410.810.710.79.55.44.6


165





Bottom 10 Barangays

SABLAYANSABLAYANRIZALRIZALRIZALSABLAYANSANTA CRUZSABLAYANLOOCMAMBURAO

San AgustinPag-AsaRizalMalawaanManootLagnasLumangbayanBurgosBulacanTayamaan

872031472372286111710318

389

68.567.752.151.049.748.848.547.046.245.7


RIZALSABLAYANCALINTAANMAMBURAOSANTA CRUZLOOCLUBANG

1,3642,463833

1,451840193259

42.337.635.832.630.924.115.5

166






SABLAYANSANTA CRUZLOOCSABLAYANSANTA CRUZRIZALSABLAYANSABLAYANSABLAYANSANTA CRUZ

Pag-AsaPinagturilan (San Pedro)BulacanLagnasLumangbayanRizalBatong BuhaySan AgustinPaetanKurtinganan

27420914407980

110405230

31.914.613.211.211.211.010.310.19.49.1


SANTA CRUZSABLAYANRIZALCALINTAANMAMBURAOLOOCLUBANG

5481,008

4712324056358

7.65.85.74.03.53.21.5


167

Table 3. Education Indicators, by Barangay, Province of Occidental Mindoro, 2015-2017


11 years old)





(12-15 years old)


15 yearsold)




560367307553808392464

67385047455426

12.010.416.38.55.6

13.85.6

326268191409566255313

11710282

16119768

106

35.938.142.939.434.826.733.9

8866354989621374647777

47222245561921

5.33.54.44.74.12.92.7

1,095286

1,73557

53350

11487

133516225125351416

1,374

11028165

4535

129

126325152451

180

10.09.89.57.09.9

10.010.510.39.0

12.211.112.06.8

12.313.1

640190

1,18144

30118

1028068

31613875

206237852

26275

23511

10062920159250237173

389

40.939.519.925.033.233.328.425.022.129.136.230.734.530.845.7

1,735476

2,91610183468

216167201832363200557653

2,226

9914640

190393

272259

23108

5.72.92.20

2.30

1.45.41.53.26.12.51.63.54.9

15925077135671135864237

783

117

10539

4.43.23.98.1

10.48.88.64.73.8

111163439639883662

163

27459

1518274

1137

24.327.620.915.646.230.711.117.722.7

27041312023110620194

126400

22531

147218

0.76.12.50.4

13.23.52.10.82.0





6635331501796710187302502117

342380240237

300348547211

13349

13

4.500

2.02.2

11.95.04.62.34.04.85.93.88.93.85.5

493327

100156358443

216381918

263250178160

942

1223371

38633

35353642

18.412.17.4

12.014.78.68.32.317.615.815.816.713.314.020.226.2

1156860

250335102185130518884035

605630418397

00010230

15100

111249

000

0.40

2.01.60

2.91.100

1.81.91.02.3

168


Table 3. Education Indicators, by Barangay, Province of Occidental Mindoro, 2015-2017


11 years old)





(12-15 years old)


15 yearsold)




462331528778779283443401334380377

46365274

129247529262733

10.010.99.89.5

16.68.5

16.97.27.87.18.8

308240319465459224282247206235243

11281

1362372289314764908888

36.433.842.651.049.741.552.125.943.737.436.2

770571847

1,2431,238507725648540615620

31293671

105278014292326

4.05.14.35.78.55.311.02.25.43.74.2

300912280307194463423890203297247

10107483016

10328

1696

2022

3.311.717.19.88.2

22.26.6

19.03.06.78.9

193540160189137241262539113177171

4716061605011760

168372357

24.429.638.131.736.548.522.931.232.713.033.3

4931,452440496331704685

1,429316474418

101262820307910

209133

20

2.08.76.44.09.1

11.21.5

14.64.10.64.8

6481,149323531416283337233865216347559902270469330734670793337375159

858132522014363593951

23537545121845765321610

13.17.09.99.84.84.9

10.715.010.84.2

14.742.04.1

20.010.96.4

11.48.58.29.54.36.3

419684219307241190220125569131204300532127267203393434492160200126

17521210312359497961

2423572

20316987

10567

146175153486832

41.831.047.040.124.525.835.948.842.526.735.367.731.868.539.333.037.240.331.130.034.025.4

1,0671,833542838657473557358

1,434347551859

1,434397736533

1,1271,1041,285497575285

110802017171213405110522745140322055235215204

10.34.43.72.02.62.52.3

11.23.62.99.4

31.93.6

10.14.33.84.92.14.03.03.51.4





169





RIZALRIZALCALINTAANSANTA CRUZRIZALRIZALRIZALLOOCCALINTAANLUBANG

ManootAguasNew DagupanDayapRumbangRizalSalvacionTalaotaoIrironMaliig

895570879532514545391288604465

86.586.185.985.384.884.181.681.681.180.9


RIZALCALINTAANSANTA CRUZLUBANGSABLAYANLOOCMAMBURAO

5,8744,2185,9303,169

10,1021,1095,229

77.571.370.263.756.551.641.5

170





Bottom 10 Barangays

CALINTAANRIZALRIZALRIZALRIZALRIZALRIZALSANTA CRUZCALINTAANLUBANG

New DagupanManootRumbangRizalAguasSalvacionMalawaanDayapIrironMaliig

817813470503490350725453541417

79.978.677.677.674.073.173.072.672.672.5


RIZALCALINTAANSANTA CRUZLUBANGSABLAYANLOOCMAMBURAO

5,1293,6704,8032,5887,520789

3,432

67.762.056.952.042.036.727.2



171





RIZALCALINTAANCALINTAANCALINTAANCALINTAANSANTA CRUZSABLAYANCALINTAANSABLAYANCALINTAAN

SalvacionNew DagupanMalpalonPoypoyPoblacionKurtingananBuenavistaConcepcionTubanTanyag

1151475881

13622

108392427

24.014.413.912.59.67.45.54.34.03.6


CALINTAANRIZALSABLAYANSANTA CRUZMAMBURAOLOOCLUBANG

491161196768844

8.32.11.10.90.70.20.1

172


Table 4. Income Poverty and Hunger Indicators, by Barangay,Province of Occidental Mindoro, 2015-2017

574604335879813507506

63.181.180.185.957.578.266.8

476541299817660456421

52.472.671.579.946.670.455.5

393

581471368127

4.30.4

13.914.49.6

12.53.6

845151

18627176

16713246553439

492534248307

70.655.444.070.559.245.866.066.380.941.740.231.065.474.046.466.6

754041

16619156

1409641736358

398490163236

63.043.535.362.941.733.755.348.272.528.332.727.652.967.930.551.2

2000000010001000

1.70000000

0.2000

0.1000






806221

1,31021

35418715884

36119471

271329

1060

46.055.833.515.940.019.621.327.532.742.442.435.054.452.852.9

53015985011

25012434250

22512552

192211680

30.340.221.78.3

28.313.012.919.919.526.427.325.638.633.933.9

291150

280003321510

1.72.80.10

3.2000

1.20.40.40.51.00.20





7320860

13698

1155972

288

19.951.542.652.366.256.741.854.581.6

36108379084804851

255

9.826.726.234.656.839.434.038.672.2

000000013

0000000

0.80.8


173

Table 4. Income Poverty and Hunger Indicators, by Barangay,Province of Occidental Mindoro, 2015-2017

503570515796895379545514391358408

65.986.177.080.286.574.684.184.881.668.858.9

380490448725813319503470350305326

49.874.067.073.078.662.877.677.673.158.747.0

15

192

11151

11510

0.10.82.80.21.10.20.80.2

24.00.20

670771367607399220420242773161285793841305379301475594565337408189

69.739.371.169.774.248.075.362.550.747.244.980.851.780.755.774.338.860.140.861.868.358.0

558554301479329156321180521107168693573271266249310440371213328132

58.128.358.355.061.234.157.546.534.231.426.570.635.271.739.161.525.344.526.839.154.940.5

30108

400210000690102450

240

3.15.50.800

0.40.20000

0.60.60

0.10

0.20.40.40

4.00






4601,307452532231614341

1,127262272332

77.178.374.685.378.078.942.566.671.248.473.6

3801065385453198474238922219188281

63.763.863.572.666.960.929.654.559.533.562.3

19508

22713074

3.20.30

1.37.40.90.10.20

1.20.9




174






RIZALLOOCSANTA CRUZCALINTAANSANTA CRUZSANTA CRUZCALINTAANLUBANGSANTA CRUZRIZAL

San PedroBalikyasDayapPoypoyKurtingananAlacaakIrironMaligayaSan VicenteSanto Niño

20531

195150981791865195

150

30.025.824.722.920.520.119.317.616.916.4


CALINTAANRIZALSANTA CRUZLOOCLUBANGSABLAYANMAMBURAO

889924983284537

1,471555

11.510.09.39.28.36.23.0


175





Bottom 10 Barangays

LUBANGCALINTAANMAMBURAOSANTA CRUZSANTA CRUZCALINTAANSABLAYANRIZALSABLAYANLUBANG

Paraiso (Pob.)MalpalonPoblacion 4 (Barangay 4)DayapKurtingananTanyagGeneral Emilio AguinaldoAguasBatong BuhayMaligaya

1534375691

0.30.30.30.20.20.20.20.20.20.1


CALINTAANRIZALSABLAYANSANTA CRUZLOOCLUBANGMAMBURAO

1819459149

0.10.10.10.00.00.00.0

176


Table 5. Unemployment and Victims of Crime Indicators, by Barangay,Province of Occidental Mindoro, 2015-2017






1,382963487

1,1672,041656

1,027

1231865882

142150148

8.919.311.97.07.0

22.914.4

1051407

00

0.30

0.10

0.2

19214116824540325136729083618211737

1,067874755566

161923147163051508

150

73698633

8.313.513.70.4

11.76.48.217.66.04.4

12.80

6.87.9

11.45.8

0000000100101001

0000000

0.100

0.30

0.000

0.1

2,706648

5,263189

1,490142465340382

1,319686344738

1,0322,976

8633

1324

853

13106

312110232771

3.25.12.52.15.72.12.82.91.62.43.12.93.12.62.4

002020301010000

00

0.00

0.10

0.30

0.10

0.10000





532684120426153259186179549

426531361111192247

7.99.5

25.88.57.24.2

10.212.38.6

100000000

0.100000000


177

Table 5. Unemployment and Victims of Crime Indicators, by Barangay,Province of Occidental Mindoro, 2015-2017






1,056561

1,0391,357953531824692641683917

3520

160638129

1122940

205150

3.33.6

15.44.68.55.5

13.64.26.2

30.016.4

06404100301

00.20.10

0.10.000

0.10

0.0

1,3282,836679877857714542566

1,508473695

1,0542,189455937582

1,8671,3862,059643898547

42286632979466

36344122

12417523669

8078147283324

3.210.19.33.39.26.41.16.42.38.73.2

11.88.05.17.01.54.35.67.14.43.74.4

91030500110006010420030

0.20.10.10

0.200

0.10.0000

0.10

0.00

0.10.000

0.10

8891,850669789479

1,0421,1121,810531782562

179148

41959835

10032544395

20.18.00.6

24.720.53.49.01.8

10.25.5

16.9

00043020000

000

0.20.20

0.10000




178




AverageMunicipality

CALINTAANRIZALLUBANGSANTA CRUZLOOCSABLAYANMAMBURAO

1.91.81.71.71.31.31.0


Bottom 10 Barangays

CALINTAANSANTA CRUZSABLAYANLOOCRIZALCALINTAANLUBANGSANTA CRUZLUBANGSABLAYAN

MalpalonAlacaakPag-AsaBulacanManootPoypoyMaliigKurtingananTagbacSan Agustin

2.62.62.42.42.32.32.32.22.22.2



179

Table 6. CBMS Composite Indicator, by Barangay, Province of Occidental Mindoro, 2015-2017


Municipality

1.61.92.62.11.72.31.6

1.51.92.01.82.31.62.11.82.11.71.4

2.11.11.81.31.61.01.41.61.11.00.92.41.12.21.11.50.91.30.91.11.61.1

2.61.71.72.02.22.10.91.42.01.01.8

0.51.41.11.42.41.01.01.32.0

1.31.50.70.41.00.40.40.60.7





MAMBURAO BalansayFatima (Tii)PayomponPoblacion 1 (Barangay 1)Poblacion 2 (Barangay 2)Poblacion 3 (Barangay 3)Poblacion 4 (Barangay 4)Poblacion 5 (Barangay 5)Poblacion 6 (Barangay 6)

2.01.61.31.32.10.91.71.52.30.91.60.82.21.81.11.5




Poblacion 7 (Barangay 7)Poblacion 8 (Barangay 8)San Luis (Ligang)TalabaanTangkalanTayamaan

0.90.90.91.31.21.3

MAMBURAO

180



181

Republic of the PhilippinesProvince of ROMBLON

Message

EDUARDO FIRMALO Governor

Several years has passed since the Province of Romblon has adoptedCommunity-Based Monitoring System (CBMS) in 2007 which led to the productionof a Provincial MDG Status Report for Romblon. The users of the CBMS database,particularly the planners and program implementers have been clamoring for itsupdating. In line with this, the Provincial Government led the coordination with thecomponent Local Government Units (LGUs), the different line agencies including theDepartment of Interior and Local Government (DILG), and the CBMS Network toconduct the province-wide updating of the CBMS database in 2015 to 2017.

While there have been funding and operational challenges in theimplementation of the CBMS Accelerated Poverty Profiling (CBMS-APP)- using tabletsfor data collection- in the province, the Provincial Government fully supported thecontinued implementation of the program as we understand the need for grassroot-level database which is crucial for planning and project prioritization.

With the updated CBMS database of the Province, we will now be able toidentify who and where are the most vulnerable sectors of the community that needthe necessary strategic intervention. This will help us very much in theimplementation of programs, projects and activities that will support theInfrastructure, Health and Housing, Education and Employment, Agriculture and FoodSecurity, Revenue Generation and Livelihood, and True Public Service and TourismDevelopment (I-HEART) platform of governance of this administration.

Mabuhay, CBMS Network, for their laudable endeavor!

MAYORS OF ROMBLON

HON. EDDIE LOTA(Municipality of Alcantara)

HON. JOSEPH FADRI(Municipality of Banton)

HON. NICASIO RAMOS(Municipality of Cajidiocan)

HON. MARIETA BABERA(Municipality of Calatrava)

MAYORS OF ROMBLON

HON. MEDRITO FABREAG, JR.(Municipality of Concepcion)

HON. RACHEL BAÑARES(Municipality of Corcuera)

HON. JOVENCIO MAYOR, JR.(Municipality of Ferrol)

HON. LEILA ARBOLEDA(Municipality of Looc)

MAYORS OF ROMBLON

HON. DENISA REPIZO(Municipality of Magdiwang)

HON. MARIANO MATEO(Municipality of Romblon)

HON. ESTEBAN MADRONA, JR.(Municipality of San Agustin)

HON. SALEM TANSINGCO(Municipality of San Fernando)

MAYORS OF ROMBLON

HON. RONNIE SAMSON(Municipality of San Jose)

HON. ELSIE VISCA(Municipality of Santa Fe)

HON. ARTEMIO MADRID(Municipality of Santa Maria)

186


The Many Faces of Poverty in theProvince of Romblon

Romblon had a total population of 206,644 covering 49,368 householdsThe CBMS census conducted from 2015 to 2016 covered 15 municipalities in the province, namely, Alcantara, Banton,Cajidiocan, Calatrava, Concepcion, Corcuera, Ferrol, Looc, Magdiwang, Romblon, San Agustin, San Fernando, San Jose,Santa Fe, and Santa Maria, with 181 barangays. Of the 206,644 locals, 50.4 percent are male, while 49.6 percent arefemale. The Municipality of Romblon has the largest population with 33,049 members (or 16%) in 7,783 households,followed by San Fernando with 20,498 members (or 9.9%) in 4,656 households.

HEALTH AND NUTRITIONThree in every 1000 children under five years old diedAbout 0.3 percent of children under five years old died duringthe reference period. This is equivalent to 71 child deaths inthe province. The proportion of child deaths among boys washigher than girls, at 0.4 percent and 0.2 percent, respectively.The highest proportion of child deaths was reported in theMunicipality of Corcuera at 0.8 percent (6 cases), followed bySan Jose at 0.7 percent (8 cases). Looc, on the other hand,ranked first in terms of magnitude with 11 cases of child deaths.Among all the barangays, Barangay Panangcalan in SanFernando registered the highest proportion of child deaths at4.9 percent. This was followed by Barangay Alegria in Corcueraat 2.5 percent, and Barangay Limon Norte in Looc at 2.4percent.

POPULATION

The 2015-2016 CBMS Census covers 15 municipalities in the Province of Romblon, namely, Alcantara, Banton, Cajidiocan,Calatrava, Concepcion, Corcuera, Ferrol, Looc, Magdiwang, Romblon, San Agustin, San Fernando, San Jose, Santa Fe, and SantaMaria.


187

Two in every 1000 pregnant women died due to pregnancy-related causesAccording to the results of the CBMS census, 0.2 percent of pregnant women aged 15-49 in the Province of Romblondied due to pregnancy-related causes during the reference period. The highest proportion of of maternal deaths wasobserved in Concepcion at 3 percent. Barangay Calabasahan in Concepcion had the highest proportion of maternaldeaths at 16.7 percent. Meanwhile, Barangay Agmanic in Santa Fe ranked first in terms of magnitude with 3 cases.

Around 3 in every 100 children zero to five years old weremalnourishedAround 2.7 percent or 715 children zero to five years old wereclassified as moderately or severely underweight in the Provinceof Romblon. In particular, 345 boys and 370 girls zero to fiveyears old were considered malnourished. Malnutritionprevalence among girls was higher than boys, at 2.9 percentand 2.5 percent, respectively. The highest prevalence ofmalnutrition was observed in Corcuera at 5.1 percent, followedby Alcantara at 4.5 percent. Barangay Cagbuaya in San Agustinreported the highest proportion of malnourished children at20.8 percent (33 cases), followed by Barangay Bagsik inAlcantara at 19.3 percent (28 cases), and BarangayPagsangahan in Calatrava at 12.6 percent (22 cases).

HOUSINGAbout 1.9 percent of households were living in makeshift housing while 4.1 percent were informal settlersThe 2015-2016 CBMS data showed that 2 in every 100 households in the province were living in makeshift housing.The Municipality of Alcantara had the highest proportion of households living in makeshift housing at 3.2 percent (121households). Second was the Municipality of Romblon at 2.9 percent (225 households), while third was the Municipalityof San Fernando at 2.6 percent (121 households). At the barangay level, Barangay Tugdan in Alcantara had the highestproportion of households living in makeshift housing at 17.3 percent, which accounts for 91 households. This wasfollowed by Barangay Canjalon in San Fernando at 13 percent, which accounts for 50 households.

In terms of tenure status, 2,009 households or 4 in every 100 households in the province were considered informalsettlers. The highest proportion of informal settlers was observed in the Municipality of Magdiwang at 10.1 percent (272cases). This was followed by the Municipality of San Fernando at 8.8 percent (408 cases). In terms of magnitude, Sanfernando ranked first with 408 cases. At the barangay level, the highest proportion of informal settlers was observed inBarangay Otod in San Fernando at 70.8 percent (313 households), while the second highest was Barangay Silum inMagdiwang at 42.6 percent (60 households).

188


WATER AND SANITATIONAbout 22.1 percent of the households do not have access to safe water supply and about 13.6 percent do not haveaccess to sanitary toilet facilitiesBased on the results of the CBMS census, 22 in every 100 households in the Province of Romblon had no access to safewater supply. The Municipality of Banton had the worst condition in terms of water accessibility as 78.8 percent of itshouseholds were reported to have no access to safe water supply during the reference period. This was followed by theMunicipality of Concepcion at 41 percent, and the Municipality of Romblon at 37.5 percent. In terms of magnitude, theMunicipality of Romblon ranked first with 2,917 cases. Four barangays, namely, Yabawon, Sampong, Tan-ag, andTumalum, had no access to safe water supply at all. Of the 200 barangays, 35 can be considered “waterless”1.

On the other hand, 13.6 percent of the households do not have access to sanitary toilet facilities. This means thataround 14 in every 100 households in the province lacked access to sanitary toilet facilities. The Municipality of SanJose reported the highest proportion of sanitation poor households at 20.6 percent or 436 households, followed by SanAgustin at 17.6 percent or 867 households. Meanwhile, at the barangay level, the highest proportion of sanitation poorhouseholds was observed in Barangay Alibagon at 58.1 percent (79 cases), followed by Barangay Combot at 46.6percent (97 cases).



189

BASIC EDUCATIONAbout 3 in every 100 children 6 to 15 years old were notattending schoolThe proportion of out-of-school children 6-15 years old was 3percent. Regardless of education level, 3 in every 100 children6-15 years old were not attending school. Further, resultsrevealed that 5.8 percent of children 6-11 years old were notattending elementary school, while 30.1 percent of children12-15 years old were not attending high school. Results alsoshowed that the proportion of out-of-school children amongboys (4.2%) was higher compared to girls (1.7%). Out of 15municipalities, San Fernando had the highest proportion ofout-of-school children 6-15 years old at 4 percent. Calatravawas the second highest at 3.9 percent, followed by Cajidiocanat 3.7 percent. San Fernando also ranked first in terms ofmagnitude, with 219 cases observed.

INCOME AND LIVELIHOODAbout 68 in every 100 households were living below thepoverty thresholdMore than half or 68.4 percent of the households in theprovince were considered income poor, which means thataround 68 in every 100 households have no sufficientincome to satisfy their basic food and non-food needs. Outof 15 municipalities, only the Municipality of Romblonreported an income poverty rate below 50 percent, at 44.7percent. Cajidiocan had the highest proportion ofhouseholds living below poverty threshold at 86.8 percent,followed by San Fernando at 84.2 percent. Across allbarangays in the province, the highest proportion of incomepoor households was observed in Barangay Togbonganwhere all 23 households in the barangay were living belowthe poverty threshold.

Around 56 in every 100 households had no sufficientincome to satisfy their food needsAccording to the CBMS data, 55.8 percent of thehouseholds in Romblon were living below the foodthreshold. Subsistence incidence was most prevalent inCajidiocan at 81.3 percent (3,841 cases), followed by SanFernando at 77 percent (3,587 cases). BarangayNasunogan in Banton recorded the highest incidence ofsubsistence at 94.2 percent (65 cases), followed byBarangay Marigondon in Cajidiocan at 93.7 percent (372cases).

190


Two in every 100 households experienced hunger due tofood shortageAround 1.8 percent of the households in the provincesuffered from hunger during the three-month periodbefore the census. Hunger due to food shortage was mostprevalent in the Municipality of Magdiwang at 7.8 percentor 210 cases. Next to Magdiwang was Cajidiocan at 6percent or 284 cases. Across all the barangays, thehighest proportion of households that experienced hungerdue to food shortage was observed in Barangay Jao-asanat 48.3 percent, followed by Barangay Silum at 25.5percent, and Barangay Cambijang at 25.2 percent.

Unemployment rate in the province was recorded at 6.5 percentAbout 6.5 percent or 4,263 individuals of the 65,609members of the labor force aged 15 and above were reportedto be unemployed. It appears that the unemployment ratewas higher among females at 7 percent than among males at6.3 percent. Unemployment was most prevalent in theMunicipality of San Fernando at 11.1 percent (601 cases).This was followed by the Municipality of Alcantara at 10.7percent (512 cases), and the Municipality of San Jose at 7.4percent (245 cases). Across all barangays, Barangay Madalagand Barangay Lawan in Alcantara recorded the two highestunemployment rates in the province, at 30 percent and 29.7percent, respectively.

PEACE AND ORDERAround 4 in every 10000 people were victims of crimeAround 0.04 percent of the population or 91 individuals in the Province of Romblon were reported to be victims of crime.Corcuera and Magdiwang reported the highest number of crime victims with 11 cases each, followed by San Agustin andSan Jose with 10 cases each. At the barangay level, Barangay Masudsud in Concepcion recorded the highest proportionof crime victims at 1 percent (3 cases). This was followed by Barangay Busay and Barangay Calabasahan, both at 0.5percent.

CBMS COMPOSITE INDEXHouseholds in the Province of Romblon suffered from two deprivations2 on the averageThe Province of Romblon recorded a CBMS composite index (CCI) of 1.8, which means that households in the provincewere not able to meet the 13 basic needs and suffered from 2 deprivations, on the average. In particular, householdsin Banton were not able to meet 3 of the 13 basic needs, on the average. Further disaggregated data show thatBarangay Alibagon in Cajidiocan had the highest incidence of deprivation, with 4 unmet needs, on the average.



191



DIMENSIONS OF POVERTY IN ROMBLON

Number ofDimensions


Total 70.7

1234567

41.521.56.51.20.10.00.0

0.3 2.7

1.94.1

22.113.6

3.0

55.8

6.5 0.00.0

10.0

20.0

30.0

40.0

50.0

60.0Health Poor

Nutrition Poor

Housing Poor

Tenure Poor

Water Poor

SanitationPoor

Education Poor

Income Poor

Job Poor

Security Poor


192



193

The Many Faces of Poverty inthe Province of Romblon

INDICATOR








Magnitude

49,3684

9202,009

10,9056,693

33,79027,543

901

Proportion

1.94.1

22.113.6

68.455.8

1.8


CBMS Core Indicators, Province of Romblon, 2015-2016

ProportionMagnitude

3,89721,36726,32230,82820,86951,697

159,95265,609

206,644

689

630

1,7786,2761,539

5.830.1

3.0

91 0.04

0.40.23.4

4,263 6.5

CBMS Composite Indicator, Province of Romblon, 2015-2016


1.8

194


CBMS Core Indicators, by Municipality, Province of Romblon, 2015-2016

Number ofchildren

(6-11 yearsold)


(6-11 years old)


(12-15 years old)


years old)

Number ofchildren

(6-15 yearsold)


(6-15 years old)

Municipality






Municipality


ALCANTARABANTONCAJIDIOCANCALATRAVACONCEPCIONCORCUERAFERROLLOOCMAGDIWANGROMBLONSAN AGUSTINSAN FERNANDOSAN JOSESANTA FESANTA MARIA

1214

37221339217938

22583

121535212

3.20.30.81.11.31.61.31.51.42.91.72.62.51.50.8

9623

30380434548

134272274166408168120

3786471530814

236155623325

1,178867782436426186

9.94.7

15.115.11.49.49.5

12.112.115.117.616.820.612.511.9

2.51.76.43.94.21.83.02.6

10.13.53.48.80.82.41.3

5911,0661,399377419232123496663

2,917876812389415130

15.578.829.618.441.09.37.69.6

24.637.517.717.418.412.28.3



years old)


(0-5 years old)


Numberof children

under 1year old


related causes

Totalpopulation



years old


3,8011,3534,7222,0441,0222,5041,6245,1502,6917,7834,9394,6562,1163,4001,563

14,7204,555

20,2308,8973,4199,6507,093

20,38312,60933,04919,76120,49810,22714,7536,800

1,394393

2,0441,081250748729

2,0631,4303,3302,1122,3271,1411,715610

1,726492

2,5691,314330928878

2,5381,7474,1012,6022,8571,3952,082763

781074351447154833

1129547465110

4.52.02.92.74.25.11.71.91.92.73.71.63.32.41.3

2133161

119758842

0.10.30.10.30.40.80.10.50.60.20.20.30.70.20.3

26762

36717532

12013939628160040643717034798

000010003101030

0000

3.0000

1.10.20

0.20

0.90


2,139626

3,2701,449506

1,368927

3,0231,8064,4893,0303,2351,6232,368969

13020

21011412

1124517710722713518314310855

6.13.26.47.92.48.24.95.95.95.14.55.78.84.65.7

3,5011,0665,5512,395860

2,3431,5805,0923,0747,3785,1455,4502,6713,9681,623

8720

2049497131

16099

19012121964

13040

2.51.93.73.91.03.02.03.13.22.62.44.02.43.32.5

1,362440

2,281946354975653

2,0691,2682,8892,1152,2151,0481,600654

36373

83032445

306158558398867567844354410179

26.716.636.434.212.731.424.227.031.430.026.838.133.825.627.4

CBMS Poverty Maps: Province of Romblon


195




Municipality








2,3881,1234,1001,483617

1,7021,2313,0992,0963,4813,9483,9211,3422,0611,198

62.883.086.872.660.468.075.860.277.944.779.984.263.460.676.6

144

2848673

122102474

163116615

0.40.36.00.40.60.30.20.27.80.31.53.50.51.91.0

1,872995

3,8411,170463

1,2761,0052,3821,7292,3933,4423,5871,0211,3451,022

49.373.581.357.245.351.061.946.364.330.769.777.048.339.665.4


4,7731,5245,8972,3191,3483,8532,6085,9444,589

11,9815,5205,4223,2894,3252,217

5128841510179

148144412303583272601245213147

0.00

0.00.00.20.10.00.00.10.00.10.00.10.00.0

1.62.52.41.81.61.51.71.42.11.52.02.31.71.41.8

10.75.87.04.45.93.85.56.96.64.94.9

11.17.44.96.6

CBMS Core Indicators, by Municipality, Province of Romblon, 2015-2016


20817

1117

118

109

1051

196






Bottom 10 Barangays

SAN FERNANDOCORCUERALOOCALCANTARACORCUERACONCEPCIONLOOCSANTA MARIASAN JOSECORCUERA

PanangcalanAlegriaLimon NorteSan IsidroMahabaPoblacionTuguisConcepcion SurBusayIlijan

6352112231

4.92.52.42.12.01.91.81.81.71.7


CORCUERASAN JOSEMAGDIWANGLOOCCONCEPCIONBANTONCALATRAVASAN FERNANDOSANTA MARIAROMBLONSAN AGUSTINSANTA FEALCANTARACAJIDIOCANFERROL

689

1111382754231

0.80.70.60.50.40.30.30.30.30.20.20.20.10.10.1


197





CONCEPCIONSANTA FEROMBLONMAGDIWANGMAGDIWANGSAN FERNANDOMAGDIWANG

CalabasahanAgmanicCalabogoAmbulongPoblacionMabuloDulangan

1311111

16.77.75.95.03.13.12.2


CONCEPCIONMAGDIWANGSANTA FESAN FERNANDOROMBLONCORCUERASAN JOSELOOCBANTONCALATRAVASANTA MARIASAN AGUSTINALCANTARACAJIDIOCANFERROL

133110000000000

3.01.10.90.20.20000000000

198





Bottom 10 Barangays

SAN AGUSTINALCANTARACALATRAVASAN FERNANDOROMBLONCORCUERACORCUERACONCEPCIONCAJIDIOCANCORCUERA

CagbuayaBagsikPagsangahanEspañaBagacaySan AgustinLabnigCalabasahanLicoAlegria

33281125275567

13

20.819.312.611.310.010.09.89.08.98.6


CORCUERAALCANTARACONCEPCIONSAN AGUSTINSAN JOSECAJIDIOCANROMBLONCALATRAVASANTA FEBANTONMAGDIWANGLOOCFERROLSAN FERNANDOSANTA MARIA

477814954674

1123551103348154710

5.14.54.23.73.32.92.72.72.42.01.91.91.71.61.3



199

Table 1. Health and Nutrition Indicators, by Barangay, Province of Romblon, 2015-2016

ALCANTARA BagsikBonlaoCalagonsaoCamiliCamod-OmGui-obLawanMadalagPoblacionSan IsidroSan RoqueTugdan

BANTON BalogoBaniceHambi-anLagangLibtongMainitNabalayNasunoganPoblacionSibayTan-AgToctocTogbonganTogongTumalumTungonanYabawon

14516611917513616792

132149119108218

2892448532247

19.35.41.72.32.94.85.42.31.31.73.73.2

11013099

13412013868

1101239590177

000000000200

000000000

2.100

262111302128131729191933

000000000000

000000000000

2829136

14245

19712331114

22343128

3636177

16317

22913035175

27404332

21000001120002001

5.62.800000

4.51.16.7000

7.400

3.1

00000000100000000

00000000

1.400000000

47312402

1415221446

00000000000000000

00000000000000000


(0-5years old)


(0-5 years old)

Proportion




causes



CAJIDIOCAN AlibagonCambajaoCambaloCambijangCantagdaDanaoGutivanLicoLumbang EsteLumbang WesteMarigondonPoblacionSugodTaguilos

6924517715190250115686820716599192148

843072391971153131457989

254206132237172

263401371

13134

116

2.42.01.32.00

0.32.18.91.15.16.33.04.63.5

01001000000010

00.400

1.10000000

0.50

1352312816351814112931154727

00000000000000

00000000000000

CALATRAVA BalogoLinaoPagsangahanPanguloPoblacionSan RoqueTalisay

19517470

201140125176

23321287

235172163212

213115202

0.96.1

12.62.11.20

0.9

1002000

0.500

1.0000

27319

35152830

0000000

0000000

200



CONCEPCION BachawanCalabasahanDalajicanMasadyaMasudsudPoblacionSampongSan Pedro (Agbatang)San Vicente

356719212562374420

360010121

8.69.000

4.00

2.74.55.0

215216171851273414

000001000

00000

1.9000

552435332

010000000

016.7

0000000


(0-5years old)


(0-5 years old)

Proportion




causes



years old

CORCUERA AlegriaAmbulongColongcolongGobonGuintiguibanIlijanLabnigMabiniMahabaMangansagPoblacionSan AgustinSan RoqueSan VicenteTacasan

1165346612357432549854238433730

15263577426675129651054650614438

1341003501605522

8.66.31.800

4.59.80

1.55.70

10.08.24.55.3

300001001100000

2.50000

1.700

2.01.200000

14115818769

1967784

000000000000000

000000000000000

FERROL AgnonocBunsoranClaro M. RectoHinagumanPoblacion (Ferrol)Tubigon

739363

134158208

8611578

157187255

332304

3.52.62.61.90

1.6

001000

00

1.6000

81413322844

000000

000000

LOOC

MAGDIWANG

AgojoBalatucanBuenavistaCamandaoGuinhayaanLimon NorteLimon SurManhacPiliPoblacionPuntaTuguis

AgsaoAgutayAmbulongDulanganIpilJao-asanPoblacionSilumTampayan

21279

144226157204220129101226256109

255107180270202251271159125289298131

171

11006130342

6.70.96.100

2.40.41.90

1.01.31.5

001105000112

00

0.70.40

2.4000

0.40.41.8

511433493341382513374517

000000000000

000000000000

6620311822819210216687268

84238150289228130197105326

50111140020

6.00

0.73.86.100

1.90

020001114

01.0000

1.00.61.11.5

104219452620311870

001100100

00

5.02.200

3.100


201



(0-5years old)


(0-5 years old)

Proportion




causes



ROMBLON AgbalutoAgbudiaAgnagaAgnayAgnipaAgpanabatAgtongoAladBagacayBarangay I (Pob.)Barangay II (Pob.)Barangay III (Pob.)Barangay IV (Pob.)CajimosCalabogoCapaclanCobrador (Naguso)GinablanGuimpinganIlauranLamaoLi-oLogbonLonosLunasMacalasMapulaPaljeSablayanSawangTambac

7711699546381

10518420636597146

28488

406675477

1281141527914765

1014163

1367754

921441146375

10513023027043748956351111494796892

15513618692

18079

120577917310163

25132131027110212353510032103121120

2.23.50.94.82.71.02.34.3

10.02.31.40

3.63.42.71.03.87.41.100

1.62.25.63.80.83.51.30.62.00

1010001020100100000000000000000

1.30

1.0000

0.90

1.00

1.700

0.400000000000000000

1526151511181831403

118

103716731227

262729202217218

1423178

0000000000000010000000000000000

00000000000000

5.90000000000000000

SAN FERNANDO AgtiwaAzargaCampalingoCanjalonEspañaMabiniMabuloOtodPanangcalanPiliPoblacionTaclobo

118184155171178117185272116141117573

149231185218222151234318143168139699

0141252120632

00.42.20.5

11.31.30.40.60

3.62.20.3

001001006000

00

0.600

0.800

4.9000

2436223335193148212926

113

000000100000

000000

3.100000

SAN AGUSTIN BachawanBinongahanBinugusanBuliCabolutanCagbuayaCamantayaCarmenCawayanDoña JuanaDubdubanLusongMahabang Baybay (Long Beach)PoblacionSugod

122204929598

12851

18097

237230110208112148

14625911611711815954237121285280132261130187

34712

333

14421180

12

2.11.56.00.91.7

20.85.65.93.30.70.40.83.10

6.4

030000000010001

01.400000000

0.4000

0.7

273114162224123417534823421429

000000000000000

000000000000000

202




(0-5years old)


(0-5 years old)

Proportion




causes



SAN JOSE BusayCombotLanasPinamihaganPoblacion (Agcogon)

169128389161294

209147471207361

51

3073

2.40.76.43.40.8

31301

1.70.80.80

0.3

2718582146

00000

00000

SANTA FE AgmanicCanyayoDanao NorteDanao SurGuinbirayanGuintigbasanMagsaysayMat-iPandanPoblacionTabugon

18117417878

18662

153104138256205

2162102089922981182128176303250

92727271239

4.21.03.42.03.12.53.80.81.11.03.6

01000000102

00.6000000

0.70

1.0

36294512366

2822335446

30000000000

7.70000000000

SANTA MARIA BongaConcepcion Norte (Pob.)Concepcion SurParoyhogSan IsidroSanto Niño

1091941114845

103

1272391436460

130

205030

1.60

3.50

5.00

002000

00

1.8000

2625204617

000000

000000


203





Bottom 10 Barangays

ALCANTARASAN FERNANDOSAN AGUSTINLOOCROMBLONSAN JOSEROMBLONBANTONMAGDIWANGROMBLON

TugdanCanjalonBinongahanBalatucanLunasBusayCapaclanLagangTampayanBagacay

915044251425591

2725

17.313.09.99.77.97.16.65.65.45.1


ALCANTARAROMBLONSAN FERNANDOSAN JOSESAN AGUSTINCORCUERASANTA FELOOCMAGDIWANGCONCEPCIONFERROLCALATRAVACAJIDIOCANSANTA MARIABANTON

12122512153833952793813212237124

3.22.92.62.51.71.61.51.51.41.31.31.10.80.80.3

204






SAN FERNANDOMAGDIWANGMAGDIWANGCAJIDIOCANALCANTARALOOCCAJIDIOCANCONCEPCIONMAGDIWANGLOOC

OtodSilumAmbulongPoblacionLawanPiliCambaloSan Pedro (Agbatang)PoblacionAgojo

31360

107120283949134651

70.842.638.234.915.814.613.212.912.511.9


MAGDIWANGSAN FERNANDOCAJIDIOCANCONCEPCIONCALATRAVAROMBLONSAN AGUSTINFERROLLOOCALCANTARASANTA FECORCUERABANTONSANTA MARIASAN JOSE

272408303438027416648

134968145232016

10.18.86.44.23.93.53.43.02.62.52.41.81.71.30.8


205





Bottom 10 Barangays

BANTONCONCEPCIONBANTONBANTONCAJIDIOCANROMBLONBANTONBANTONBANTONBANTON

YabawonSampongTan-AgTumalumAlibagonCobrador (Naguso)NabalayNasunoganBalogoTogbongan

731028682

13522116649521

100.0100.0100.0100.099.395.794.192.892.291.3


BANTONCONCEPCIONROMBLONCAJIDIOCANMAGDIWANGCALATRAVASAN JOSESAN AGUSTINSAN FERNANDOALCANTARASANTA FELOOCCORCUERASANTA MARIAFERROL

1,066419

2,9171,399663377389876812591415496232130123

78.841.037.529.624.618.418.417.717.415.512.29.69.38.37.6

206






CAJIDIOCANSAN JOSELOOCCALATRAVASAN AGUSTINROMBLONSAN AGUSTINROMBLONROMBLONSANTA MARIA

AlibagonCombotPiliTalisayCawayanCajimosBachawanLi-oAgbudiaBonga

7997

1181088017499

1007378

58.146.644.240.939.833.132.432.131.530.8


SAN JOSESAN AGUSTINSAN FERNANDOROMBLONCAJIDIOCANCALATRAVASANTA FEMAGDIWANGLOOCSANTA MARIAALCANTARAFERROLCORCUERABANTONCONCEPCION

436867782

1,1787153084263256231863781552366414

20.617.616.815.115.115.112.512.112.111.99.99.59.44.71.4


207

Table 2. Housing, Water and Sanitation Indicators, by Barangay, Province of Romblon, 2015-2016







11471500

1001

91

0.40.31.41.70.51.400

2.10

0.417.3

324

2702

283

21105

1.30.61.46.70

0.515.80.94.30.40

1.0

1591267131070015

452

6.62.94.3

16.76.10.30

2.200

6.185.9

1181456336691343177

29

4.926.216.315.716.819.07.31.30.66.52.95.5

20010000000000001

1.900

5.6000000000000

1.4

13102001710100015

1.03.11.90

3.200

1.42.51.30

2.7000

0.96.8

958540153641664

191668662141828273

92.287.675.55.6

85.577.194.192.868.283.510016.291.350.0

100.075.2100

207312700310005384

19.47.25.75.63.28.400

1.11.3000

6.13.77.35.5

02211

2100021421

00.40.50.30.43.5000

0.60.31.20.50.3

12

496

2717223

1325

120360

0.70.4

13.21.7

10.32.80.71.31.74.16.3

34.98.20

13533486

158076

1196511

24425197354

99.363.723.243.8

012.539.841.96.376.56.35.5

16.616.3

79123385815658

130

329431

10554

58.123.510.216.15.7

10.72.78.40

10.023.79.0

23.916.3





4912420

1.02.90.70.61.40.70

32211231533

0.87.17.66.65.21.01.1

191121561143747

48.63.9

10.417.64.9

12.417.8

67682

341

28108

17.021.91.49.80.39.4

40.9

208









101320070

0.90

1.15.01.900

6.90

131024110

0.92.01.10

1.91.81.01.00

04111

203

130

02.61.11.71.09.12.912.9

0

10417778

487

1022234

89.711.183.713.345.73.2

100.021.845.9

425172

19112

1250

760

14493273848

118456460

17.80

4.310.78.6

16.513.32.6

44.26.0

10.420.4

0.99.70.31.50.54.30.20.30.71.60.80

514154321439731

11.91.60.31.11.10.70.34.5

14.60.90.50.3

313

102

11127166

19125281

7.31.23.10.42.9

28.726.30.3

34.13.34.60.3




LOOC

MAGDIWANG



5999

152171401

5303

4446

15.38.06.37.62.88.410.1

00.521.0

02.222.93.45.0

700402032

1100136

1.800

2.00

1.00

3.51.14.400

0.52.55

601109110

1633211

1.60

0.70.50

4.40.71.20

6.31.82.21.00.80.8

5312111513307524408014

13.810.67.77.6

18.114.854.32.32.21.60

5.90

0.83.4

102721343231

6.712.312.512.97.97.5

12222

12

0.70.91.20.80.52.9

41

141

226

2.70.58.30.45.41.4

93421169

34

6.015.512.56.12.28.2

254

19791611647

100

12.91.26.824.44.55.417.45.019.9

11042120

27

0.50.30

1.20.60.50.50

5.4

00

107160

12466031

00

38.24.90

5.912.542.66.2

3111014719157177

1093

16.033.852.559.016.18.31.97.1

18.5


209








161262913250413271597144033814265260

0.82.60.51.23.10.93.42.95.10

2.10.51.95.10.56.63.00.72.51.30

1.01.52.27.90.94.63.40.83.00

46255293

131044

152

10443456

112

204897336

3.02.61.03.02.60.93.40.72.71.10

2.12.52.91.1

11.61.72.22.51.73.03.51.05.42.23.56.94.81.21.54.1

14132139374015116326159

11

190

2581292432211463220117934391503729152153644

10.656.972.422.320.56.843.972.132.61.10.59.70

49.168.627.195.710.138.973.858.229.822.124.528.116.222.110.385.018.230.1

1073551412117540441420

17451

14939

323736

100236034214

3140258

7.631.528.68.46.25.0

28.48.89.01.12.11.00

33.127.116.61.36.5

19.812.417.932.111.816.119.19.23.1

21.215.812.65.5


64400082104110115

9912016427

218280

14411555183

101

32.427.18.42.00.82.2

19.616.639.827.918.524.04.81.027.3

2.09.9000

2.51.90.20

0.80.20.40

0.34.1

1522241090471265133

0.31.11.01.09.20.30

1.80

0.811.411.41.34.40.8

12014030142

32931621714025360

20

39.231.615.70.51.50.6

29.918.88.0

42.022.510.99.60

5.4



1022105044701229

510557734129217651460

278

2.322.815.019.010.010.65.817.222.615.6

030.5

4.64.82.6

13.01.01.51.90

0.40.70.71.0

116163336

31336

299

0.53.54.20.80.71.11.7

70.81.32.0

10.01.0

4612458

122191731

226242515

105

21.027.015.231.74.66.28.651.110.68.55.2

11.5

210









226110

0.80.41.70.71.00

758000

2.81.12.3000

36311918260

14.26.85.4

12.424.8

0

7836467

190

30.87.8

13.14.8

18.10

253

120

13

7.11.41.80

2.0

62611

1.71.00.90.40.2

0186159

143

089.424.50.46.6

8997

1545046

25.446.623.719.67.1




213216303

1147

0.63.70.80.61.51.70

1.23.90.81.7

5222

12514

13278

1.50.60.81.23.12.80.31.64.65.62.0

7186535

33389

3138141

2.153.620.12.98.421.53.012.713.42.90.2

561064012281224465

6928

17.030.515.26.97.16.87.9

18.81.8

14.37.0


211





CORCUERACORCUERABANTONCAJIDIOCANCORCUERASAN JOSEALCANTARACORCUERASAN FERNANDOCALATRAVA

MabiniLabnigBaniceCambajaoAmbulongPinamihaganLawanAlegriaCanjalonPoblacion

4105

46102711273219

14.312.512.512.312.312.011.711.311.110.6


SAN JOSECORCUERACALATRAVACAJIDIOCANALCANTARAMAGDIWANGLOOCSAN FERNANDOSANTA MARIAROMBLONFERROLSANTA FESAN AGUSTINBANTONCONCEPCION

14311211421013010717718355

22745

1081352012

8.88.27.96.46.15.95.95.75.75.14.94.64.53.22.4

212





Bottom 10 Barangays

SAN FERNANDOSAN FERNANDOMAGDIWANGCALATRAVACAJIDIOCANCORCUERASAN JOSECAJIDIOCANSANTA MARIACAJIDIOCAN

PanangcalanCanjalonSilumTalisayCambajaoLabnigLanasSugodBongaLumbang Weste

511113767

11925

143894773

53.753.150.747.946.945.545.044.944.844.0


SAN FERNANDOCAJIDIOCANCALATRAVASAN JOSECORCUERAMAGDIWANGROMBLONSANTA MARIALOOCSAN AGUSTINALCANTARASANTA FEFERROLBANTONCONCEPCION

8448303243543063988671795585673634101587345

38.136.434.233.831.431.430.027.427.026.826.725.624.216.612.7



213





SAN FERNANDOBANTONCALATRAVACORCUERASANTA FECAJIDIOCANCORCUERAROMBLONCORCUERACAJIDIOCAN

PanangcalanYabawonTalisayGobonCanyayoSugodSan AgustinAgnagaAmbulongCambajao

266

221127319

157

35

10.010.06.76.76.46.26.26.05.75.6


SAN FERNANDOCALATRAVACAJIDIOCANSANTA FEMAGDIWANGLOOCCORCUERAROMBLONSANTA MARIAALCANTARASAN JOSESAN AGUSTINFERROLBANTONCONCEPCION

21994

20413099

16071

190408764

12131209

4.03.93.73.33.23.13.02.62.52.52.42.42.01.91.0

214


Table 3. Education Indicators, by Barangay, Province of Romblon, 2015-2016


11 years old)





(12-15 years old)


15 yearsold)




16117217919714218294176202141159334

4121495

14115

15101219

2.57.07.84.63.57.7

11.72.87.47.17.55.7

10312913312093

14257

1291167677

187

292644323240172926211750

28.220.233.126.734.428.229.822.522.427.622.126.7

264301312317235324151305318217236521

117895763265

18

4.22.32.62.82.12.24.01.00.62.82.13.5

5340371323421217

1293433247

25456032

15300200110002320

1.912.58.100

4.800

0.82.9000

8.06.73.30

3626267133152199282312624253028

57415706

1234221158

13.926.915.414.338.522.6

028.612.110.717.416.733.34.24.016.728.6

8966632036731738

2286256361349709060

13000202100102116

1.14.5000

2.70

5.30.400

2.80

4.11.41.1

10.0

77374292249187427179102112277281201299213

546145

1025766

19188

2912

6.512.34.82.05.35.93.95.95.46.96.44.09.75.6

612542121821303191157283

166177161198151

20119615056

1363020217369408946

32.846.928.827.543.142.626.127.825.344.039.024.844.930.5

138628504431317746294174195443458362497364

63510113

341274

15164

3116

4.35.62.02.60.94.64.14.02.13.43.51.16.24.4





278238118265179184187

19177

24191216

6.87.15.99.1

10.66.58.6

16914971

162121134140

60492760283367

35.532.938.037.023.124.647.9

447387189427300318327

19149

1848

22

4.33.64.84.21.32.56.7


215



11 years old)





(12-15 years old)


15 yearsold)




6497382737

109386927

121031121

1.62.12.60

8.10.92.62.93.7

356239262758403631

4483311723

11.46.5

20.511.511.119.017.55.69.7

99159775364

16778

10558

011021211

00.61.30

3.10.62.61.01.7

101263169257198142236108332

4279

1942

155

22

4.010.35.37.42.01.46.44.66.6

831751151561539917573

239

205836614420413781

24.133.131.339.128.820.223.450.733.9

184438284413351241411181571

597

19124

123

28

2.72.12.54.63.41.72.91.74.9




LOOC

MAGDIWANG



23881839337

1018028821177487

1216185

27105515

1047579

1124

11.312.36.05.42.75.0

12.514.38.54.39.5

10.39.13.34.7

1544178722982553262874358754859

581527245

22254

24191018231418

37.736.634.633.317.226.845.512.538.721.823.331.030.729.230.5

39212216116566

18313560

144204117145196109144

9751105613119742

2.35.73.16.70

2.74.41.72.10.50.96.23.63.71.4

8113493

164213242

472

101012

4.95.22.26.14.75.0

558763

132141175

171418392545

30.916.128.629.517.725.7

136221156296354417

54341

14

3.71.81.91.40.33.4

251159218320221269342170137375367194

1777

1312232026

273112

6.84.43.24.15.48.65.81.24.47.28.46.2

16613415819614517725512510028523296

633429543749712822628128

38.025.418.427.625.527.727.822.422.021.834.929.2

417293376516366446597295237660599290

22125

148

22337

101287

5.34.11.32.72.24.95.52.44.21.81.32.4

216




11 years old)





(12-15 years old)


15 yearsold)




8717814379

11612414224531150848978

3581174591327169

21211117380

22385

1496274

18411193

368467

108

253594

153

36623

11376

112423735

3.43.45.65.15.25.67.03.38.06.06.0

10.15.14.22.67.84.52.84.35.22.74.07.54.92.42.73.24.13.82.75.4

6089

1064185941071691891959644519790

328742764

11263

10961

14257

1013250

1306857

243641924333745593121255028

1162581532212616431828817451912

40.040.438.722.028.235.134.626.631.215.820.318.811.125.431.135.433.829.623.428.633.323.926.230.331.627.725.034.034.627.921.1

14726724912020121824941450069

14315312355520778720698

13332417428214136514225094

124314179150

610151348

1071352

127

1810137660

123924537

4.13.76.00.81.51.83.22.41.41.42.13.31.62.23.42.34.91.02.32.23.42.10

3.32.13.62.13.21.61.74.7


17226613012516118471

273131330350141266154276

1015427

112

134

1126954

12

5.85.63.11.64.36.02.84.83.13.37.46.41.92.64.3

117208969511712950

19189

21824594

192119155

33722925243184927526827472550

28.234.630.226.320.524.016.025.730.323.927.828.724.521.032.3

289474226220278313121464220548595235458273431

51731540

159

1317894

11

1.73.61.30.51.81.30

3.24.12.42.93.42.01.52.6



183263217287300182288311164190154696

13141332121012181255

37

7.15.36.0

11.14.05.54.25.87.32.63.25.3

10519217320924011120117195141111466

435443

11196367960515933179

41.028.124.953.140.032.439.335.153.741.829.738.4

288455390496540293489482259331265

1,162

15108

201415162326167

49

5.22.22.14.02.65.13.34.8104.82.64.2


217



11 years old)





(12-15 years old)


15 yearsold)




1522912388380

125

12206674

7.96.92.57.28.83.2

1051851446646

108

473533181729

44.818.922.927.337.026.9

257476382149126233

14117143

5.42.31.80.73.21.3

271192502225433

2416482728

8.98.39.6

12.06.5

169105318155301

4838

1436362

28.436.245.040.620.6

440297820380734

166

24117

3.62.02.92.91.0




266249162112253118208155186347312

101222

1314

13112317

3.84.81.21.85.10.81.98.45.96.65.4

15717012693

16281

126114148214209

4961241535193023386155

31.235.919.016.121.623.523.820.225.728.526.3

423419288205415199334269334561521

112743

1157

11142314

2.66.41.41.52.72.52.14.14.24.12.7

218






BANTONBANTONSAN AGUSTINSAN AGUSTINCAJIDIOCANCALATRAVACAJIDIOCANSAN AGUSTINSAN FERNANDOBANTON

TogbonganNasunoganCabolutanLusongMarigondonTalisayCantagdaSugodTacloboNabalay

2368

25522238125225035186216

10098.697.396.996.095.595.194.994.594.1


CAJIDIOCANSAN FERNANDOBANTONSAN AGUSTINMAGDIWANGSANTA MARIAFERROLCALATRAVACORCUERASAN JOSEALCANTARASANTA FECONCEPCIONLOOCROMBLON

4,1003,9211,1233,9482,0961,1981,2311,4831,7021,3422,3882,061

6173,0993,481

86.884.283.079.977.976.675.872.668.063.462.860.660.460.244.7


219





Bottom 10 Barangays

BANTONCAJIDIOCANCAJIDIOCANSAN AGUSTINCALATRAVASAN AGUSTINBANTONSAN AGUSTINCAJIDIOCANSAN FERNANDO

NasunoganMarigondonCantagdaCabolutanTalisayLusongTogbonganSugodCambaloTaclobo

6537224424224421121

336337827

94.293.792.892.492.492.191.390.890.890.7


CAJIDIOCANSAN FERNANDOBANTONSAN AGUSTINSANTA MARIAMAGDIWANGFERROLCALATRAVACORCUERAALCANTARASAN JOSELOOCCONCEPCIONSANTA FEROMBLON

3,8413,587995

3,4421,0221,7291,0051,1701,2761,8721,0212,382463

1,3452,393

81.377.073.569.765.464.361.957.251.049.348.346.345.339.630.7

220






MAGDIWANGMAGDIWANGCAJIDIOCANCAJIDIOCANSAN AGUSTINSANTA FECAJIDIOCANSAN FERNANDOMAGDIWANGMAGDIWANG

Jao-asanSilumCambijangCambajaoBuliMat-iSugodTacloboAgsaoAmbulong

993691

106343353901622

48.325.525.220.217.013.512.09.98.27.9


MAGDIWANGCAJIDIOCANSAN FERNANDOSANTA FESAN AGUSTINSANTA MARIACONCEPCIONSAN JOSECALATRAVAALCANTARABANTONCORCUERAROMBLONFERROLLOOC

2102841636674156

118

1447

243

12

7.86.03.51.91.51.00.60.50.40.40.30.30.30.20.2


221

Table 4. Income Poverty and Hunger Indicators, by Barangay, Province of Romblon, 2015-2016

11918476

21614829593241235176193412

52.759.527.553.769.281.052.576.348.467.778.878.3

7912938

13010826868

187185144172364

35.041.713.832.350.573.638.459.238.155.470.269.2

252020102000

0.91.60.70

0.90

0.60

0.4000

86854816537316681976073282374708865

83.587.690.688.985.588.094.198.670.475.984.975.7

100.090.285.480.789.0

71774714477115651735066232167557756

68.979.488.777.875.885.588.294.261.863.376.762.291.381.767.170.676.7

10000000010100010

1.000000000

1.30

2.7000

0.90






238244120246152231252

60.678.583.370.953.177.395.5

161199102163108193244

41.064.070.847.037.864.592.4

3120002

0.80.31.4000

0.8





126418344330250552241132134293381259350290

92.679.892.791.495.190.980.685.276.691.896.075.379.587.6

117379337316244531207115126274372234314275

86.072.390.887.592.887.569.274.272.085.993.768.071.483.1

0106209108000060

530

020.25.4

25.20

1.30000

1.50

12.00

222



7810674476479685645

67.269.380.478.361.036.166.755.460.8

588662424353504029

50.056.267.470.041.024.249.039.639.2

000111201

000

1.71.00.52.00

1.4






15523624227428214327695

393

79.972.686.484.679.969.875.267.478.3

13218422024322211123876

303

68.056.678.675.062.954.164.953.960.4

160

22129

9910366

8.20

7.93.72.5

48.32.7

25.51.2




LOOC

MAGDIWANG



28367

1111686098

11331

11517841

10814110385

73.559.377.684.883.348.381.936.062.870.624.879.473.486.671.4

2034387

1405064912275

1341892968774

52.738.160.870.769.431.565.925.641.053.210.967.650.073.162.2

200000001000130

0.50000000

0.5000

0.52.50

114177121214289316

76.080.572.081.171.076.1

9415485177248247

62.770.050.667.060.959.5

300000

2.000000

87170203243347318380240235421268187

20.466.163.052.993.071.860.276.988.056.143.663.6

40128181153318257278180213309175150

9.449.856.233.385.358.044.157.779.841.228.551.0

000003100125

00000

0.70.200

0.10.31.7


223


7152

1527374

13531

21327319887465

1281452731506741

1981361081001041061225187

1887384

53.822.479.244.037.960.811.747.155.920.446.337.940.124.477.130.464.948.625.366.467.734.651.328.059.653.538.959.674.336.957.5

4722

1135455

11216

1461861460524543

12314911048141519560675687963864

1535265

35.69.5

58.932.528.250.56.1

32.338.115.131.626.727.88.2

65.416.647.634.88.6

50.747.319.234.415.148.942.129.043.860.526.344.5

1402100000000211000100180001010

0.81.70

1.20.500000000

0.40.50.1000

0.300

0.52.2000

0.70

0.50







26434314716225521783386174371476222330167351

86.377.477.081.097.367.477.678.086.671.876.596.987.856.094.9

23828211713724217075

345160287407211295140336

77.863.761.368.592.452.870.169.779.655.565.492.178.547.090.8

13413400000110002

0.37.70.517.0

00000

0.20.2000

0.5



188405268325354251316375182244151862

85.888.070.384.485.991.987.584.880.583.051.994.5

174368224297325241292340161220118827

79.580.058.877.178.988.380.976.971.274.840.590.7

01012601

2149

100

90

02.23.11.60

0.45.80.94.03.40

9.9

224








15830417689

20495171169203282210

47.987.666.751.451.953.756.269.071.558.552.4

6227012656

1326690

12014718096

18.877.847.732.433.637.329.649.051.837.323.9

20001712

33731

0.6000

4.30.60.7

13.52.50.60.2

2023292868897

196

79.871.781.260.792.478.7

1802642447193170

71.157.569.349.088.668.3

245121

0.80.91.40.71.90.4




239137504157305

68.165.977.561.646.8

191110413123184

54.452.963.548.228.2

47000

1.13.4000


225





ALCANTARAALCANTARALOOCBANTONALCANTARAMAGDIWANGSAN JOSEBANTONCONCEPCIONSAN FERNANDO

MadalagLawanManhacLagangCamiliPoblacionCombotToctocSan VicenteCanjalon

10963636

6811577111790

30.029.724.823.119.819.118.318.318.318.1


SAN FERNANDOALCANTARASAN JOSECAJIDIOCANLOOCMAGDIWANGSANTA MARIACONCEPCIONBANTONFERROLSANTA FESAN AGUSTINROMBLONCALATRAVACORCUERA

6015122454154123031477988

144213272583101148

11.110.77.47.06.96.66.65.95.85.54.94.94.94.43.8

226


Map 29. Proportion of Persons who are Victims of Crime, by Municipality, 2015-2016



Bottom 10 Barangays

CONCEPCIONSAN JOSECONCEPCIONCORCUERASAN AGUSTINSANTA FECORCUERACONCEPCIONLOOCMAGDIWANG

MasudsudBusayCalabasahanAlegriaBinongahanMat-iIlijanBachawanLimon NorteTampayan

3835532144

1.00.50.50.30.30.30.30.30.20.2


CONCEPCIONCORCUERAMAGDIWANGSAN AGUSTINSAN JOSESAN FERNANDOCAJIDIOCANROMBLONLOOCSANTA FEALCANTARACALATRAVAFERROLSANTA MARIABANTON

7111110109887521110

0.20.10.10.10.10.00.00.00.00.00.00.00.00.00



227

Table 5. Unemployment and Victims of Crime Indicators, by Barangay,Province of Romblon, 2015-2016






376351360344334486212363555348236808

5285168295263

1097518131

1.38.0

14.219.88.7

10.729.730.013.55.25.50.1

000000110000

000000

0.20.10000

165111442646892240

3151119160238284

13976

99462000

19135

1101180

5.58.19.123.14.3000

6.011.75.518.3

01.21.25.80

00000000000000000

00000000000000000

219418370386332655329173222554737491592419

33126

195641201165

78328610

15.12.91.64.916.96.36.16.42.70.910.66.514.52.4

00102000030020

00

0.10

0.20000

0.200

0.10





607259188420343209293

3529917056

5.811.24.84.00

2.42.0

0100000

00.100000

228








1352299786

12031313713893

415167

165817

3.06.61.07.05.85.13.65.8

18.3

130030000

0.30.500

1.00000

624284352521423496778254395808722287

19338

195

23826350434324

3.011.62.33.61.24.610.524.812.75.36.08.4

010004000020

00.1000

0.20000

0.10




LOOC

MAGDIWANG



58220718524894

344187133266434232247353150191

2410612613114032461262

4.14.83.24.86.43.85.93.00

7.41.72.43.44.01.0

511002001000010

0.30.20.200

0.300

0.20000

0.20

211308382354626727

1714188

2859

8.14.54.72.34.58.1

000001

00000

0.1

291530428630441498601322848

31662262315

1151825

1.03.014.54.15.23.019.15.62.9

000112214

000

0.10.10.20.10.10.2


229








2404262952282782624528317371552882892188073381217394205265488287468298596227375212208385278234

9241018151

2325199

157

233635925

1515269

2010271315117

161617

3.85.63.47.95.40.45.13.02.65.85.22.4

10.64.5

10.47.61.37.35.75.33.14.33.44.55.74.05.23.44.25.87.3

0000000000000110011010010001010

0000000000000

0.00.100

0.20.10

0.100

0.1000

0.20

0.10

262583194155235509114537201737579180526325383

27149

2428141

132

61321814105

10.32.44.6

15.511.92.80.92.41.08.35.5

10.02.73.11.3

151000000111000

0.10.30.1000000

0.00.00.1000



177475623496396379384462319392401918

2172

103903827472925552767

11.915.216.518.19.67.1

12.26.37.8

14.06.77.3

001101102210

00

0.10.10

0.10.10

0.20.20.10

230








584421

1098350836

5377682918

9.118.36.28.32.2

81100

0.50.10.000

376666499192175309

2463616641

0.56.97.28.33.4

13.3

010000

00.00000




464486289186447232389324369601538

2126659

152615174528

4.55.32.12.72.06.56.74.64.67.55.2

01000103000

00.1000

0.10

0.3000


231




AverageMunicipality

BANTONCAJIDIOCANSAN FERNANDOMAGDIWANGSAN AGUSTINCALATRAVASANTA MARIAFERROLSAN JOSECONCEPCIONALCANTARACORCUERAROMBLONLOOCSANTA FE

2.52.42.32.12.01.81.81.71.71.61.61.51.51.41.4


Bottom 10 Barangays

CAJIDIOCANSAN FERNANDOSAN JOSEMAGDIWANGBANTONBANTONBANTONBANTONLOOCCAJIDIOCAN

AlibagonOtodCombotAmbulongNasunoganYabawonTogbonganBalogoPiliLumbang Weste

3.63.13.02.92.92.92.82.82.82.8

232


Table 6. CBMS Composite Indicator, by Barangay, Province of Romblon, 2015-2016


Municipality

1.21.40.81.41.61.91.51.71.11.41.72.6

2.21.62.41.81.60.82.31.51.7

2.82.82.72.12.62.62.82.92.12.42.71.82.82.32.62.42.9

1.81.91.91.61.01.72.6









LOOC AgojoBalatucanBuenavistaCamandaoGuinhayaanLimon NorteLimon SurManhacPiliPoblacionPuntaTuguis

3.62.72.42.72.32.22.02.21.62.82.52.12.42.1

1.71.31.61.81.81.22.20.71.11.70.41.71.61.81.5

1.71.91.71.71.51.7

0.81.51.31.11.91.91.61.62.81.21.01.5


233

Table 6. CBMS Composite Indicator, by Barangay, Province of Romblon, 2015-2016


Municipality

1.83.02.11.50.9

1.31.42.51.21.11.31.11.71.50.50.90.80.91.32.61.22.21.21.12.22.01.31.31.11.81.41.21.52.51.11.5






1.02.71.61.01.21.41.11.81.61.31.0

2.11.61.91.42.41.6

2.52.31.71.82.11.42.01.92.22.12.02.51.91.12.3


2.12.51.92.52.02.22.13.12.12.11.22.5


1.91.72.92.71.82.02.02.22.0


MAGDIWANG

234


Republic of the PhilippinesPROVINCE OF TARLAC

Message

SUSAN YAP Governor

-My warmest congratulations to the men and women of the Community BasedMonitoring System [CBMS] Network. The launching of the ninth (9th) volume is atestament of the publication’s success in promulgating information to reduce povertyand foster evidence-based governance.

The data from CBMS is vital for the Province of Tarlac in achieving its goal ongood governance, particularly in poverty reduction. The information gathered in thegrassroots level is instrumental in addressing various challenges in local planningand budgeting, poverty monitoring, disaster-risk reduction management and impact-monitoring among other concerns.

Furthermore, the CBMS census data of Tarlac paved the way for key policiesand programs of the government in providing better opportunities and achieving abetter quality of life particularly among the poor and vulnerable sectors of thepopulation (e.g. women, children, persons with disabilities [PWDs]).

Our thrust has always been Tao Muna where the priority is the upliftment ofevery Tarlaqueño. Our mantra has always been to provide basic necessities andservices to the poor and to remove them from the intergenerational cycle of poverty.

Our goal is for Inclusive Growth and that no Tarlaqueño is left behind,characterized by people’s involvement in good governance, responsible leadership,sustainable development, and equal access to opportunities for all. In our province,we prioritize human capital development focusing on Food, Health, Education,Livelihood, and Environment.

We have to think freely. We have to open up to endless possibilities. We haveto engage ourselves for further partnerships. We aim to establish a progressiveprovince where socio-economic activities are anchored on empowerment andpeople’s participation. We mark this year as the continuation of grassroots datagathering through statistical tables and poverty maps that will provide acomprehensive picture of the different faces of poverty in our province. Thus, throughthis publication, local executives, local planners, and other development practitionerscan be accurately guided in identifying the poor so we can effectively address theirconcerns.

I urge you to continue with your prolific work and further enrich your partnershipwith the government in pursuing economic prosperity.

Again, my warmest congratulations and Mabuhay!

MAYORS OF TARLAC

HON. BETTY LACBAYAN(Municipality of Anao)

HON. JOSE ANTONIO FELICIANO(Municipality of Bamban)

HON. ERLON AGUSTIN(Municipality of Camiling)

HON. REYNALDO CATACUTAN(Municipality of Capas)

MAYORS OF TARLAC

HON. ANDRES LACSON(Municipality of Concepcion)

HON. ELOY ECLAR(Municipality of Gerona)

HON. MICHAEL MANUEL(Municipality of La Paz)

HON. ILUMINADO POBRE, JR.(Municipality of Mayantoc)

MAYORS OF TARLAC

HON. ESTELITA AQUINO(Municipality of Moncada)

HON. LEONARDO ROXAS(Municipality of Paniqui)

HON. CONCEPCION ZARATE(Municipality of Pura)

HON. DIOSDADO REGINALDO(Municipality of Ramos)

MAYORS OF TARLAC

HON. ELMA MACADAMIA(Municipality of San Clemente)

HON. JOSE YAP, JR.(Municipality of San Jose)

HON. BENJAMIN TESORO(Municipality of San Manuel)

HON. NORA MODOMO(Municipality of Santa Ignacia)

MAYORS OF TARLAC

HON. MARVIN SILAO(Municipality of Victoria)


241

The Many Faces of Poverty in theProvince of Tarlac

Tarlac had a total population of 747,182 covering 198,296 householdsThe CBMS census conducted from 2014 to 2017 covered 17 municipalities in the province, namely, Anao, Bamban,Camiling, Capas, Concepcion, Gerona, La Paz, Mayantoc, Moncada, Paniqui, Pura, Ramos, San Clemente, San Jose, SanManuel, Santa Ignacia, and Victoria, with 430 barangays. Of the 747,182 locals, 50.7 percent are male, while 49.3percent are female. The Municipality of Concepcion has the largest population with 129,624 members (or 17.3%) in32,156 households, followed by Capas with 96,400 members (or 12.9%) in 25,811 households.

HEALTH AND NUTRITIONTwo in every 1000 children under five years old diedAbout 0.2 percent of children under five years old died duringthe reference period. This is equivalent to 109 child deaths inthe province. The proportion of child deaths among boys washigher than girls, at 0.2 percent and 0.1 percent, respectively.The highest proportion of child deaths was reported in theMunicipality of Victoria where 0.3 percent of children underfive years old died. Concepcion, on the other hand, rankedfirst in terms of magnitude, with 21 cases of child deaths.Across all the barangays, Barangay Poblacion in Anaoregistered the highest proportion of child deaths at 9.1percent. This was followed by Barangay Manupeg in Camilingat 2.8 percent, and Barangay Poblacion J, also in Camiling, at2.5 percent.

The 2014-2017 CBMS Census covers 17 municipalities in the Province of Tarlac, namely, Anao, Bamban, Camiling, Capas,Concepcion, Gerona, La Paz, Mayantoc, Moncada, Paniqui, Pura, Ramos, San Clemente, San Jose, San Manuel, Santa Ignacia,and Victoria.

POPULATION

242


One in every 1000 pregnant women died due to pregnancy-related causesAccording to the results of the CBMS census, 0.1 percent of pregnant women aged 15-49 in the Province of Tarlac dieddue to pregnancy-related causes during the reference period. The highest proportion of maternal deaths was observedin San Manuel at 1.1 percent. Meanwhile, at the barangay level, Barangay Taldiapan in Mayantoc had the highestproportion of maternal deaths at 20 percent.

Around 6 in every 1000 children zero to five years old weremalnourishedAround 0.6 percent or 506 children zero to five years oldwere classified as moderately or severely underweight in theProvince of Tarlac. In particular, 289 boys and 217 girls zeroto five years old were considered malnourished. Malnutritionprevalence among girls was lower than boys, at 0.5 percentand 0.6 percent, respectively. The highest prevalence ofmalnutrition was observed in Paniqui at 2 percent, followedby La Paz at 1.3 percent. Barangay Barang in Paniqui reportedthe highest proportion of malnourished children at 19.7percent (12 cases). This was followed by BarangayColibangbang and Barangay San Juan de Valdez, at 17.1percent (12 cases) and 9.6 percent (14 cases), respectively.

HOUSINGAbout 2 percent of households were living in makeshift housing while 4.2 percent were informal settlersThe 2014-2017 CBMS data showed that 2 in every 100 households in the province were living in makeshift housing.First in terms of proportion was the Municipality of La Paz, with about 5.5 percent or 525 households living in makeshifthousing. Second was Ramos at 4.1 percent or 184 households, while third was Camiling at 3.7 percent or 574 households.At the barangay level, Barangay Batangbatang in Victoria had the highest proportion of households living in makeshifthousing at 31.5 percent or 94 households. This was followed by Barangay Caramutan in La Paz at 12.5 percent or 55households.

In terms of tenure status, 8,391 households or 4 in every 100 households in the province were considered informalsettlers. The highest proportion of informal settlers was observed in the Municipality of San Jose at 30.6 percent with2,219 cases, also the highest number of informal settlers across all municipalities. This was followed by the Municipalityof Capas at 6.3 percent with 1,618 cases. At the barangay level, the highest proportion of informal settlers wasobserved in Barangay Maamot in San Jose at 100 percent (705 households), closely followed by Barangay Pao, also inSan Jose, at 99.7 percent (379 households).


243

WATER AND SANITATIONAbout 3.5 percent of the households do not have access to safe water supply and about 2.1 percent do not have accessto sanitary toilet facilitiesBased on the results of the CBMS census, 4 in every 100 households in Tarlac had no access to safe water supply. TheMunicipality of San Clemente had the worst condition in terms of water accessibility as 16.4 percent of its householdswere reported to have no access to safe water supply during the reference period. This was closely followed by Mayantocwith 15.6 percent, and La Paz with 12.7 percent. In terms of magnitude, La Paz ranked first with 1,222 cases. Meanwhile,Barangay Maasin in San Clemente reported the highest proportion of households without access to safe water supplyat 61.3 percent or 234 cases. Of the 435 barangays, 2 can be considered “waterless”1.

On the other hand, 2.1 percent of the households do not have access to sanitary toilet facilities. This means that around2 in every 100 households in the province lacked access to sanitary toilet facilities. The Municipality of San Manuelreported the highest proportion of sanitation poor households at 7.3 percent or 303 households, followed by San Joseat 6.3 percent or 455 households. Meanwhile, at the barangay level, the highest proportion of sanitation poor householdswas observed in Barangay Caturay at 45.7 percent or 126 cases, followed by Barangay Santa Lucia at 45.5 percent or81 cases.


244


BASIC EDUCATIONAbout 3 in every 100 children 6 to 15 years old were notattending schoolThe proportion of out-of-school children 6-15 years old was3.3 percent. Regardless of education level, 3 in every 100children 6-15 years old were not attending school. Further,results revealed that 8.6 percent of children 6-11 years oldwere not attending elementary school, while 25.9 percent ofchildren 12-15 years old were not attending high school.Results also showed that the proportion of out-of-schoolchildren among boys (4.1%) was higher compared to girls(2.6%). Out of 17 municipalities, San Jose had the highestproportion of out-of-school children 6-15 years old at 6.6percent. Concepcion was second highest at 4.1 percent,followed by Santa Ignacia at 4 percent. Meanwhile, in termsmagnitude, Concepcion had the highest number of out-ofschool children 6-15 years old, with 1,083 cases observed.

INCOME AND LIVELIHOODAbout 53 in every 100 households were living below thepoverty thresholdMore than half or 53.3 percent of the households in theprovince were considered income poor, which means thataround 53 in every 100 households have no sufficientincome to satisfy their basic food and non-food needs. Only4 out of 17 municipalities, namely, Paniqui, Bamban,Concepcion and Capas, reported an income poverty ratebelow 50 percent. La Paz had the highest proportion ofhouseholds living below poverty threshold at 78.2 percent,followed by San Jose at 74 percent. Across all barangays inthe province, the highest proportion of income poorhouseholds was observed in Barangay Dicolor in Geronaat 98.2 percent, closely followed by Barangay David in SanJose at 97.3 percent.

About 42 in every 100 households had no sufficientincome to satisfy their food needsAccording to the CBMS data, 41.5 percent of thehouseholds in Tarlac were living below the food threshold.Subsistence incidence was most prevalent in La Paz where69.4 percent of the households were food poor.Meanwhile, with 9,556 cases, Concepcion had the highestnumber of food poor households. Barangay Dicolor inGerona recorded the highest incidence of subsistence at96.7 percent, followed by Barangay David in San Jose at96.3 percent, and Barangay Sembrano, also in Gerona, at90.4 percent.


245

Two in every 100 households experienced hunger due tofood shortageAround 1.9 percent of the households in the provincesuffered from hunger during the three-month periodbefore the census. Hunger due to food shortage was mostprevalent in the Municipality of Victoria at 9.3 percent or1,283 cases. Next to Victoria was Camiling with aproportion of 2.9 percent or 455 cases. Across all thebarangays, the highest proportion of households thatexperienced hunger due to food shortage was observedin Barangay Cruz in Victoria at 84.2 percent, followed byBarangay Bueno in Capas at 68.8 percent, and BarangaySanta Lucia in Gerona at 43.8 percent.

Unemployment rate in the province was recorded at 8 percentAbout 8 percent or 19,433 individuals of the 241,988 membersof the labor force aged 15 and above were reported to beunemployed. It appears that the unemployment rate was higheramong females at 10.1 percent than among males at 7.3percent. Unemployment was most prevalent in Mayantocwhere 14.8 percent or 1,280 members of the labor force wereunemployed during the reference period. This was followed bySan Jose at 14.1 percent or 1,042 cases, and Bamban at11.4 percent or 1,582 cases. Across all barangays, BarangayMaamot in San Jose recorded the highest unemployment rateat 96.2 percent, followed by Barangay Talimunduc San Miguelin Concepcion at 49.9 percent, and Barangay Nagmisaan inPaniqui at 44.7 percent.

PEACE AND ORDERAround 2 in every 10000 people were victims of crimeAround 0.02 percent of the population or 161 individuals in the Province of Tarlac were reported to be victims of crime.Concepcion and Camiling reported the highest number of crime victims with 27 cases, followed by Gerona with 21cases. At the barangay level, Barangay Bobon 2nd in Camiling recorded the highest proportion of crime victims at 0.6percent (7 cases). This was followed by Barangay Dungan at 0.4 percent (4 cases).

CBMS COMPOSITE INDEXHouseholds in the Province of Tarlac suffered from one deprivation2 on the averageThe Province of Tarlac recorded a CBMS composite index (CCI) of 1.1, which means that households in the provincewere not able to meet the 13 basic needs and suffered from 1 deprivation, on the average. In particular, households inSan Jose, La Paz, Mayantoc, San Clemente, and Victoria were not able to meet 2 of the 13 basic needs, on the average.The highest incidence of deprivation was observed in 5 barangays, namely, Maamot, Caturay, Cruz, Pao, and Bueno,with 3 unmet needs, on the average.


246




DIMENSIONS OF POVERTY IN TARLAC

Number ofDimensions


Total 51.4

1234567

40.59.31.40.20.00.00.0

0.2 0.62.0

4.2

3.52.13.341.5

8.0 00.0

10.0

20.0

30.0

40.0

50.0

60.0Health Poor

Nutrition Poor

Housing Poor

Tenure Poor

Water Poor

Sanitation Poor

Education Poor

Income Poor

Job Poor

Security Poor



247

The Many Faces of Poverty inthe Province of Tarlac

INDICATOR








Magnitude

198,2964

3,876 8,391

7,020 4,174

105,73982,264

3,724

Proportion

2.04.2

3.52.1

53.341.51.9


CBMS Core Indicators, Province of Tarlac, 2014-2017

ProportionMagnitude

13,74771,900

87,162 92,361 59,453

151,814 597,775 241,988

747,182

109 15

506

7,90615,418

5,085

8.625.9

3.3

158 0.02

0.20.10.6

19,433 8.0

CBMS Composite Indicator, Province of Tarlac, 2014-2017


1.1

248


CBMS Core Indicators, by Municipality, Province of Tarlac, 2014-2017

Number ofchildren

(6-11 yearsold)


(6-11 years old)


(12-15 years old)


years old)

Number ofchildren

(6-15 yearsold)


(6-15 years old)

Municipality






Municipality


ANAOBAMBANCAMILINGCAPASCONCEPCIONGERONALA PAZMAYANTOCMONCADAPANIQUIPURARAMOSSAN CLEMENTESAN JOSESAN MANUELSANTA IGNACIAVICTORIA

111395743464583255255197

62542

18432412147

358

0.51.23.71.31.41.85.50.70.83.60.94.11.20.60.50.52.6

19110620

1,61839257055668

6311,059

457434

2,21985

140151

1528236839041656673

166106134

817652

455303235429

0.62.52.41.51.33.20.82.40.80.80.23.91.96.37.32.63.1

0.81.04.06.31.23.25.81.04.96.10.91.61.2

30.62.01.61.1

1309556

1,101352323

1,2221,092

62228418140447180101104381

0.02.73.64.31.11.8

12.715.60.51.38.63.1

16.42.52.41.22.8



years old)


(0-5 years old)


Numberof children

under 1year old


related causes

Totalpopulation



years old


2,37411,47715,51125,81132,15617,8629,6046,999

12,85517,3554,8374,5422,7247,2474,1538,998

13,791

9,71946,92755,00096,400

129,62462,23540,06723,67143,63459,42317,78418,68311,06529,68215,83031,64955,789

8934,6565,2579,39512,8745,5443,8832,1254,2335,4581,5611,675982

3,1131,6233,0225,606

1,0805,6326,339

11,35115,4786,6844,7472,6295,1896,6631,8862,0581,2203,7522,0063,6386,810

122

6430802464161

1314171132369

1.10.01.00.30.50.41.30.60.02.00.20.80.90.90.10.20.1

209172113027731031617

0.20

0.20.20.20.20

0.10.20.10.20.10

0.10.10.20.3

164926

1,0221,7462,4681,058715358829

1,040289305176641277605

1,128

00031001130000303

000

0.20.000

0.30.10.30000

1.10

0.3


1,1246,2526,451

12,37916,1527,1914,9763,0535,4366,9172,0372,2961,2543,7972,1113,8747,061

89448473

1,1161,493588374348505424174220105458125363603

7.97.27.39.09.28.27.5

11.49.36.18.59.68.4

12.15.99.48.5

1,89110,56910,60620,41326,59811,7638,2524,8798,799

11,3033,3573,8432,1226,4213,3616,177

11,460

28359335739

1,08334029714217024761

10142

42376

250392

1.53.43.23.64.12.93.62.91.92.21.82.62.06.62.34.03.4

7674,3174,1558,034

10,4464,5723,2761,8263,3634,3861,3201,547868

2,6241,2502,3034,399

1871,065811

2,5342,7181,187778559840836289336184

1,007280657

1,150

24.424.719.531.526.026.023.730.625.019.121.921.721.238.422.428.526.1

CBMS Poverty Maps: Province of Tarlac


249




Municipality








1,2674,8449,6458,113

13,46210,3537,5104,5798,0408,3772,7752,6291,8185,3662,4905,7328,739

53.442.262.231.441.958.078.265.462.548.357.457.966.774.060.063.763.4

611

45550026918712419514116432179

8020

2311283

0.30.12.91.90.81.01.32.81.10.90.70.40.31.10.52.69.3

9463,6227,8055,2699,5568,4546,6653,7656,3815,7762,2032,0471,5024,4671,8914,7067,209

39.831.650.320.429.747.369.453.849.633.345.545.155.161.645.552.352.3


3,42613,92116,00432,87043,94519,94211,9058,677

14,64620,8904,9686,4293,6067,3764,3809,986

19,017

1521,582815

2,9732,8821,271992

1,280903

1,770393472323

1,042391917

1,275

0.00

0.00.00.00.00.00.00.00.00.00

0.00.00.00.00.0

1.01.01.40.80.91.21.81.61.31.01.21.31.51.91.31.41.5

4.411.45.19.06.66.48.3

14.86.28.57.97.39.0

14.18.99.26.7

30

2717272186

11440263217

CBMS Core Indicators, by Municipality, Province of Tarlac, 2014-2017


250





Bottom 10 Barangays

ANAOCAMILINGCAMILINGMAYANTOCCONCEPCIONVICTORIAMONCADAVICTORIASAN MANUELCAMILING

PoblacionManupegPoblacion JBaybayaoasDunganBantogSanta MonicaSan Gavino (Pob.)MatarannocBirbira

2111232311

9.12.82.52.41.91.61.51.51.41.3


VICTORIAANAOCAMILINGCAPASCONCEPCIONGERONAMONCADAPURASANTA IGNACIAMAYANTOCPANIQUIRAMOSSAN JOSESAN MANUELBAMBANLA PAZSAN CLEMENTE

172917211373627131000

0.30.20.20.20.20.20.20.20.20.10.10.10.10.1000



251





MAYANTOCSAN MANUELSAN MANUELPANIQUIVICTORIASAN MANUELMONCADAVICTORIAPANIQUIPANIQUI

TaldiapanMatarannocPacpacoAcocolaoSan Gavino (Pob.)San MiguelLapsingSan Fernando (Pob.)NancamarinanSamput

1111211111

20.08.36.25.94.94.83.33.22.91.7


SAN MANUELVICTORIAMAYANTOCPANIQUICAPASMONCADACONCEPCIONANAOCAMILINGGERONAPURASANTA IGNACIARAMOSSAN JOSEBAMBANLA PAZSAN CLEMENTE

33133110000000000

1.10.30.30.30.20.10.00000000000

252





Bottom 10 Barangays

PANIQUIPANIQUISAN JOSECONCEPCIONGERONACAMILINGPANIQUIPANIQUIANAOSAN CLEMENTE

Barang (Borang)ColibangbangSan Juan de ValdezParangRizalSinilian 1stAbogadoManaoisDon RamonBamban

12121434139

31526

19.717.19.69.58.98.07.56.35.65.3


PANIQUILA PAZANAOCAMILINGSAN JOSESAN CLEMENTERAMOSMAYANTOCCONCEPCIONGERONACAPASPURASANTA IGNACIASAN MANUELVICTORIAMONCADABAMBAN

13164126432111716802430463912

2.01.31.11.00.90.90.80.60.50.40.30.20.20.10.10.00.0



253

Table 1. Health and Nutrition Indicators, by Barangay, Province of Tarlac, 2014-2017

ANAO Baguindoc (Baguinloc)BantogCamposCarmenCasiliDon RamonHernandoPoblacionRizalSan Francisco EastSan Francisco WestSan Jose NorthSan Jose SouthSan JuanSan RoqueSanto DomingoSinenseSuaverdez

BAMBAN AnupulBanabaBangcuCulubasaDela CruzLa PazLourdesMalonzoSan Nicolas (Pob.)San PedroSan RafaelSan RoqueSan VicenteSanto NiñoVirgen de los Remedios(Pacalcal)

40462263913637318348

105515031

10831

104103

000102012020111100

000

1.60

5.60

3.22.40

1.90

2.03.20.93.200

333919517231282065408744422693299084

000000020000000000

0000000

9.10000000000

752

1119470

108

18993

145

1320

000000000000000000

000000000000000000

1,0084608659

294151588143570191190144215366191

1,23553210177

358194734165680232218186255439226

100000000000010

0.1000000000000

0.20

000000000000000

000000000000000

20494151060279738

108463524606840

000000000000000

000000000000000


(0-5years old)


(0-5 years old)

Proportion




causes



CAMILING Anoling 1stAnoling 2ndAnoling 3rdBacabacBacsayBancay 1stBancay 2ndBiladBirbiraBobon 1stBobon 2ndBobon CaarosipanCabanabaanCacamilingan NorteCacamilingan SurCaniagCaraelCayaoanCayasanFloridaLasongLibuegMalacampa

536480

21913010181

18678

205995368

1181946878

113198885

168262

6175

1052571531121002231012341156681

1372308493

13123

109101213315

0001001002112000000223

12

000

0.400

1.000

0.90.91.52.5000000

1.82.01.43.8

00001002100000000000000

0000

0.800

1.11.300000000000000

14151539242215387412010151940121717517173951

00000000000000000000000

00000000000000000000000

254



CAMILING ManakemManupegMarawiMatubogNagrambacanPalimbo ProperPalimbo-CaarosipanPao 1stPao 2ndPao 3rdPapaacPindangan 1stPindangan 2ndPoblacion BPoblacion DPoblacion EPoblacion GPoblacion HPoblacion JSanta MariaSawatSinilian 1stSinilian 2ndSinilian 3rdSinilian CacalibosoanSinulatan 1stSinulatan 2ndSurgui 1stSurgui 2ndSurgui 3rdTambuganTelbangTuec

7044

13813045

103244754051

1011062281381592608748

15411811211910667

14557

1046688968390

000010010001

1110013200912002200000

0000

2.200

1.3000

0.94.80.700

1.73.44.2008

0.81.900

3.51.900000

61351171083479

2106234448592

1941131372506739

1189588

1039656

11443815773776473

011100100000000000100000000000000

02.80.80.900

0.500000000000

2.500000000000000

13623208173396819223519367181023221120219231316171420715

000000000000000000000000000000000

000000000000000000000000000000000


(0-5years old)


(0-5 years old)

Proportion




causes



years old

CAPAS ArangurenBuenoCristo ReyCubcub (Pob.)Cutcut 1stCutcut 2ndDoloresEstrada (Calingcuan)LawyMangaManlapigMarugluO’DonnellSanta JulianaSanta LuciaSanta RitaSanto Domingo 1stSanto Domingo 2ndSanto RosarioTalaga

540185

1,460239975365343264209196124236

1,116401

1,058172204335582391

670213

1,810293

1,148447404331240236156281

1,351482

1,273215238412699452

00

110000100004

11100011

00

0.60000

0.30000

0.32.30.1000

0.10.2

20301011000022400010

0.40

0.20

0.10

0.30.40000

0.20.50.4000

0.20

12142

2164517157715539321648

21070

239323657

12366

00000000000010100010

000000000000

0.50

0.4000

0.80


255

GERONA AbagonAmacalanApsayanAysonBawaBuenlagBularitCalayaanCarbonelCardonaCaturayDanzoDicolorDon Basilio

271113170587190

2279483

2126714141

114

2991321957587

1032791161102578317554147

00000020000000

000000

0.70000000

10100020010100

0.40

0.6000

0.900

0.50

0.700

461834127

164418235312236

26

00000000000000

00000000000000



(0-5years old)


(0-5 years old)

Proportion




causes



CONCEPCION AlfonsoBalutuCafeCalius GuecoCaluluanCastilloCorazon de JesusCulatinganDunganDutung-A-MatasGreen VillageLilibanganMabilogMagaoMalupaMinanePanalicsian (Panalicsican)PandoParangParulungPitabunanSan Agustin (Murcia)San AntonioSan BartolomeSan FranciscoSan Isidro (Almendras)San Jose (Pob.)San Juan (Castro)San MartinSan Nicolas (Pob.)San Nicolas BalasSan Vicente (Caluis/Cobra)Santa CruzSanta MariaSanta MonicaSanta RitaSanta RosaSantiagoSanto CristoSanto NiñoSanto Rosario (Magunting)Talimunduc MarimlaTalimunduc San MiguelTelabancaTinang

60533324814038827120734010435422313723614716222113821529318828655930522359534190832826

286329200365171598412

138610944819816818091411

749418302172459318252421126435267158288179187279166255357223333682379258710405

1,07837634345403236441212695487

3483124544236211207111474

000000010100010311

341000003401040200100082110

10

0000000

0.20

0.2000

0.60

1.10.60.49.50.400000

0.70.40

2.90

1.00

0.500

0.2000

1.50.80.50.50

2.1

000100012000100000000221001000210100011002002

000

0.7000

0.31.9000

0.400000000

0.40.70.400

0.1000

0.60.50

0.6000

0.30.900

1.200

0.5

1386340337153404813624127412732402646434953

1015841

13653

166646

4869285836

137910

7918744131332193

000000000000000000000000000000000000000100000

000000000000000000000000000000000000000

1.300000

256


LA PAZ BalanoyBantog-CaricutanCaramutanCautComillasDumaraisGuevarraKapanikianLa PurisimaLaraLaungcupangLomboyMacalongMatayumtayumMayangMotricoPaludpudRizalSan Isidro (Pob.)San Roque (Pob.)Sierra

11618319212134713827212426293

182340153155118134125119170392147

156237235155426164326147321114225405194191140159148138206477183

7201

110208343401041805

4.50.80

0.62.60

0.60

2.52.61.80.72.10

0.70

2.70.73.90

2.7

000000000000000000000

000000000000000000000

203337255125502046203263292620272424308033

000000000000000000000

000000000000000000000



(0-5years old)


(0-5 years old)

Proportion




causes



GERONA LunaMabiniMagaspacMalayepMatapitapMatayumcabNew SalemOloybuayaPadapadaParsolinganPinasling (Pinasung)PlastadoPoblacion 1Poblacion 2Poblacion 3QuezonRizalSalapunganSan AgustinSan AntonioSan BartolomeSan JoseSanta LuciaSantiagoSembranoSingatSulipaTagumbaoTangcaranVilla Paz

154149292174110124437059

18730413914555

14539

12311180

264417362

124306793

34865

122

195170348206138144498876

2323591641697018148146141100302559277140388210842387144

2000000102000000

130010000000030

1.0000000

1.10

0.9000000

8.900

0.300000000

3.40

010010000001000000020000000200

00.700

0.9000000

0.70000000

0.80000000

0.600

3928414013278

15103358233010229

22219

599

1312318

1217601922

000000000000000000000000000000

000000000000000000000000000000

MAYANTOC AmbalingitBaybayaoasBigbigaBinbinacaCalabtanganCaocaoayan

5041

131564829

6547

149666034

000200

000

3.000

010000

02.40000

111122845

000000

000000


257

MONCADA Ablang-SapangAringinAtencioBanaoang EastBanaoang WestBaquero NorteBaquero SurBurgosCalamayCalapanCamangaan EastCamangaan WestCamposanto 1 - NorteCamposanto 1 - SurCamposanto 2CapaoayanLapsingMabiniMaluacPoblacion 1Poblacion 2Poblacion 3Poblacion 4RizalSan JuanSan JulianSan LeonSan PedroSan RoqueSanta Lucia EastSanta Lucia WestSanta MariaSanta MonicaTolega NorteTolega SurTubectubangVilla

28213233

10110211811211947

10275

10213413917322312416712495

138769795151151985694549188

13173

11117352

34816246

1251291471271515811793

11817317119926415020415511817692

11911619118311673

12067

11510616585

13920962

0000000000000000000000100000000000000

0000000000000000000000

0.800000000000000

0000100000000000001010100010000020000

0000

1.00000000000000

0.80

0.70

1.0000

1.000000

1.50000

62282

20121929238

1916232327324129352819191518183826201118102322231622296

0000000000000000100000000000000000000

0000000000000000

3.300000000000000000000



(0-5years old)


(0-5 years old)

Proportion




causes



years old

MAYANTOC CarabaoanCubcubGayonggayongGossoodLabneyMamonitManiniogMapandanNambalanPedro L. QuinesPitombayogPoblacion NortePoblacion SurRotrottoocSan BartolomeSan JoseTaldiapanTangcarang

499

2245

1301885494

14414112715321674907847

109

59123259

15224461

12917218116718425897

1159958

129

000050012000600000

0000

3.300

0.81.2000

2.300000

000000010000000000

0000000

1.10000000000

725

10222771714201933441519124

20

000000000000000010

0000000000000000

20.00

258


PURA BaliteBuenavistaCadanglaanEstiponaLinaoMaasinMatindegMaungibNayaNilasin 1stNilasin 2ndPoblacion 1Poblacion 2Poblacion 3PorocSingat

11617958

30511842965284508459545374

137

1422137137113452

11269

102639770686687

169

0003000000010000

000

0.80000000

1.40000

0002000000100000

000

0.7000000

1.200000

21341058269

19988

187

14141123

0000000000000000

0000000000000000



(0-5years old)


(0-5 years old)

Proportion




causes



PANIQUI AbogadoAcocolaoAduasApulidBalaoangBarang (Borang)BrillanteBurgosCabayaoasanCananCarinoCayangaColibangbangCoralDapdapEstacionMabilangManaoisMatalapitapNagmisaanNancamarinanNipacoPatalanPoblacion NortePoblacion SurRang-ayanSalumagueSamputSan CarlosSan IsidroSan Juan de MillaSanta InesSinigpitTablangVentenilla

3581181351781074942

1461731972958759

10664

19021970

1576717686

19033725717024531910212485

111116137186

416150166241135615217621423136211370121772292627918786215104235432308213291389130155101137140162223

312013

12001304

124020570001

1436320005019

7.51.30

0.42.2

19.700

0.51.30

3.517.13.30

0.90

6.33.7000

0.43.21.02.81.00.5000

3.60

0.64.0

00000000100001010000100110010000000

00000000

0.60000

0.90

0.50000

0.600

0.30.400

0.30000000

741633281495

28304052169

19133929143716331941724324545817251524233239

01000000000000000000100000010000000

05.9000000000000000000

2.9000000

1.70000000


259

SAN CLEMENTE BallocBambanCasipoCatagudinganDaldalayapDoclong 1Doclong 2MaasinNagsabaranPit-aoPoblacion NortePoblacion Sur

14690215072606617758

10635

101

1861132760866979

22372

13144

130

060000000500

05.30000000

3.800

000000000000

000000000000

24182

1397

14386

243

18

000000000000

000000000000



(0-5years old)


(0-5 years old)

Proportion




causes



RAMOS Coral-IlocoGuitebPancePoblacion CenterPoblacion NorthPoblacion SouthSan JuanSan RaymundoToledo

2963263597586

1906498

181

3623954409211224073118226

083000105

02.00.7000

1.40

2.2

000000010

0000000

1.00

5753708

1532122038

000000000

000000000

SAN JOSE BurgosDavidIbaLabneyLawacamulagLubiganMaamotMababanabaMorionesPaoSan Juan de ValdezSulaVilla Aglipay

236221269160114161409268292144115323401

276253328201139200475314350179146401490

000002016001400

00000

1.00

5.100

9.600

0001001000001

000

0.600

0.200000

0.2

64874730203885435313176579

0000000000000

0000000000000

SAN MANUEL ColubotLanatLegaspiMangandingayMatarannocPacpacoPoblacionSalcedoSan AgustinSan FelipeSan JacintoSan MiguelSan NarcisoSan VicenteSanta Maria

6610518746719252

16614517674

13911811472

951212275686

12168

19318821494

15615014988

000011000000100

0000

1.20.8000000

0.700

000010000000000

0000

1.40000000000

1519256

1115113921291020182315

000011000001000

0000

8.36.200000

4.8000

260


VICTORIA BaculongBalayangBalbalotoBangarBantogBatangbatangBuloCabuluanCalibunganCanaremCruzLalapacMaluidMangolagoMasalasaPalacpalacSan AgustinSan AndresSan Fernando (Pob.)San FranciscoSan Gavino (Pob.)San JacintoSan Nicolas (Pob.)San VicenteSanta BarbaraSanta Lucia (Pob.)

411295139230186136191114174226125200272258140155291207197179200292169166531122

506356169282219169237139214278168235319317174192349245247207240356200198646148

21002000010000000000020010

0.40.300

0.90000

0.400000000000

0.600

0.20

00103000111001000012300030

00

0.70

1.6000

0.60.40.800

0.40000

0.51.11.5000

0.60

875927382523412330382654595027376847304139573521

12323

00000000000000000010200000

000000000000000000

3.20

4.900000



(0-5years old)


(0-5 years old)

Proportion




causes



SANTA IGNACIA BaldiosBotbotonesCaanamonganCabaruanCabugbuganCaduldulaoanCalipayanMacaguingNambalanPadapadaPilpilaPinpinasPoblacion EastPoblacion WestPugo-CecilioSan FranciscoSan SoteroSan VicenteSanta Ines CentroSanta Ines EastSanta Ines WestTaguiporoTimmaguabVargas

115133107819953

11851

17822414793

16910911714498

15910316317022

160209

14115412398111701406322027316811421012813717611419112220120430195255

001010000100000201000000

00

0.80

0.90000

0.400000

1.10

0.5000000

100100000010000101100000

0.900

1.2000000

0.70000

0.70

0.61.000000

2525241625162212374528152917232816332234286

4237

000000000000000000000000

000000000000000000000000


261





Bottom 10 Barangays

VICTORIALA PAZLA PAZPANIQUIPANIQUIPANIQUICAMILINGVICTORIARAMOSPANIQUI

BatangbatangCaramutanRizalSinigpitBurgosApulidBacsayCruzToledoSalumague

94553039576026384158

31.512.510.810.710.310.29.89.59.19.1


LA PAZRAMOSCAMILINGPANIQUIVICTORIAGERONACONCEPCIONCAPASSAN CLEMENTEBAMBANPURAMONCADAMAYANTOCSAN JOSEANAOSANTA IGNACIASAN MANUEL

52518457462535832545834632

13942975141114721

5.54.13.73.62.61.81.41.31.21.20.90.80.70.60.50.50.5

262






SAN JOSESAN JOSEGERONAMONCADASAN JOSEPANIQUIGERONASAN JOSEMONCADASAN JOSE

MaamotPaoCaturaySan JuanMorionesMatalapitapOloybuayaIbaSan LeonBurgos

70537927242644520499

28992

161

100.099.798.675.470.050.747.638.434.532.1


SAN JOSECAPASPANIQUILA PAZMONCADACAMILINGGERONASAN MANUELRAMOSSANTA IGNACIACONCEPCIONSAN CLEMENTEVICTORIABAMBANMAYANTOCPURAANAO

2,2191,6181,0595566316205708574

14039234

151110684519

30.66.36.15.84.94.03.22.01.61.61.21.21.11.01.00.90.8


263





Bottom 10 Barangays

SAN CLEMENTEVICTORIAMAYANTOCLA PAZCAPASGERONASAN CLEMENTELA PAZPURAVICTORIA

MaasinBatangbatangPoblacion SurRizalSanto RosarioDicolorBallocCaramutanSingatBantog

234180345125655189149158130173

61.360.445.844.842.041.940.936.035.434.7


SAN CLEMENTEMAYANTOCLA PAZPURACAPASCAMILINGRAMOSVICTORIABAMBANSAN JOSESAN MANUELGERONAPANIQUISANTA IGNACIACONCEPCIONMONCADAANAO

4471,0921,222418

1,101556140381309180101323228104352621

16.415.612.78.64.33.63.12.82.72.52.41.81.31.21.10.50.0

264






GERONAGERONACAPASVICTORIABAMBANSAN JOSEGERONASAN MANUELCONCEPCIONVICTORIA

CaturaySanta LuciaBuenoCruzSanto NiñoMaamotTangcaranSan FelipeTalimunduc MarimlaBalayang

12681

11013013320254

10058

108

45.745.537.732.628.828.726.121.815.814.3


SAN MANUELSAN JOSERAMOSGERONAVICTORIASANTA IGNACIABAMBANMAYANTOCCAMILINGSAN CLEMENTECAPASCONCEPCIONLA PAZPANIQUIMONCADAANAOPURA

30345517656642923528216636852

39041673

134106158

7.36.33.93.23.12.62.52.42.41.91.51.30.80.80.80.60.2


265

Table 2. Housing, Water and Sanitation Indicators, by Barangay, Province of Tarlac, 2014-2017







100000102100003111

1.300000

1.00

1.20.90000

1.61.10.40.5

101211010211302030

1.30

1.71.40.51.20

1.30

1.90.51.13.20

1.10

1.30

010000000000000000

00.70000000000000000

000000100000019112

000000

1.0000000

0.94.81.10.41.0

50110

101

37072921

153

1.70.10.40

1.70.22.00

0.50.52.80.30.33.20.7

11170609012071020

0.40.13.10

1.00

0.50

0.10.50

12.30

0.40

1310010020301741

1437

4.500

0.700

0.10

0.20

5.40.70.3

31.01.7

11900000000000

30133

0

4.100000000000

9.028.8

0

55

10232632

371026174261710

15365

2715

3.22.43.43.89.81.20.76.24.24.85.42.40.91.43.90.50

4.75.02.72.15.01.8

612

7895

16151

12507

2726243240

221947

3.80.50.7

12.93.42.05.82.50.42.21.60

3.36.35.9

11.715.51.20

9.90.41.75.7

581928106122315426013110136135

3.23.86.54.63.82.40.43.71.22.81.31.22.80

3.00.50.50

1.71.42.50.24.2

0088

151

11172383461

1617425

152014

00

2.71.35.60.44.02.90.80.62.61.81.91.40.27.88.31.23.32.36.43.71.7




266









5091411400

182817509000237

21116

106912332

3.40

2.90.34.40.40.22.300

8.313.84.11.50

3.3000

0.51.02.27.43.33.03.55.33.20.50.81.11.70.8

849219

42101486

2121

12862

331319860

131018489

102

5.45.62.90.51.13.97.65.61.02.63.73.05.00.62.34.44.33.31.67.54.45.82.81.80

4.68.86.51.93.03.45.60.8

05

11151

2019031

139

3451

214

1110311211454001140

123

07.03.53.81.18.73.40

3.10.76.04.48.11.52.37.72.26.18.27.04.13.41.41.52.000

0.40.51.50

6.71.3

42

22114

261304

690

12000174

281321864

201115121127146

2.72.87.00.31.11.74.77.30

2.631.9

02.9000

0.53.93.36.44.46.52.81.82.07.19.65.45.64.2

10.37.92.5

340

701

341627

10133

898

4002

13103

13110

8154223011

30103

301

9940

0.837.70.20.10.20.30.20.40.30

0.20.21.0

13.70.10

0.28.30.30

2.10

1.30.11.71.40.21.40.90.30.60.73.01.11.80

0.41.10.60.3

44170

135575

8160

2211124

23534029

1663991

2.70.31.3

15.828.60.7

14.90.40.20.30.20.20.8

31.21.60

6.213.92.58.3

92780101

194800

4610200170

655249

0.69.20.20

0.00

0.13.74.300

10.60.32.70

0.21.50

42.022.8




267








2312240238

32902118

3.53.65.40

0.40.91.47.54.00

0.70.20.23.3

3240044001

272203

0.50.60.900

1.20.700

0.298.60.50

1.2

4600000090000

1891

7.0000000

2.10000

41.90.4

8304001

3800

126000

1.20.90

1.800

0.28.900

45.7000

151041

105070

14374141515104

4821

127102434491

103

2027237900438

10

3434000

6200100100

150

121

164004493010018

300500

29235801

59

0.10

6.013.8

000

9.400

0.200

0.200

5.60

1.80.32.60.300

0.30.60.40.30

0.100

0.12.12.20

0.500

3.56.1

15.80

0.45.5

0.91.10.70.40.90.80

1.10

1.47.31.60.21.00.30.70.40.90.10

0.73.90.30.28.01.61.20.34.70.41.10.20.90.81.52.70.20.32.41.100

0.61.30.7

10002

320011333740102

180

132493100

1932

140

22302

1137

144101

113

0.600

0.83.000

0.20.40.30.61.21.21.00

0.10

0.42.60

21.64.00.40.200

0.90.32.41.40

5.30.30

0.11.10.30.74.80.50.30

0.14.70.3

220000001400002105600

1200171201000002

30300000000

0.10.2000000

0.40.40000

0.60.10

0.90.900

1.000

0.11.10

0.20

0.100000

0.232.7

00000000



268









311010

1.91.00.30

0.80

183100

0.67.80.80.800

252115201310

15.420.64.115.79.99.2

15

18111

0.64.94.90.80.80.9

2120

133627

150357

1014161

140

224

12391

110

161

01120201728140

160001

1524

23292621811020

271

540

03.00.30

0.50

6.713.57.10

2.3000

0.35.80.70.65.34.48.45.1

45.52.20.60

6.80.1

26.10

0.50.30.30

3.30.82.41.03.53.00

1.01.22.82.75.45.80.13.20

7.11.06.70.72.70.42.80

7.70.3

5230

37010

99031142

330

161016011001381

12.80.80

9.70

0.30

47.60

0.60.10.31.00.88.80

5.80.10

0.21.90

0.60.200

0.30.33.90.3

0110010

11102

54100000300100020000

00.30.100

0.30

5.30.50

0.317.40.200000

0.700

0.2000

0.80000




1618552633614210251330282085

232630132320

4.43.812.56.53.67.17.03.44.85.98.84.45.12.41.97.68.810.83.12.65.3

131349

1243

1430638

271072742240364

1223

3.62.70.92.2

13.60.32.3

10.212.03.77.9

16.86.8

12.59.10

1.02.21.01.46.1

12135

15897

1871400811487188237041

1251215053

33.27.4

36.024.220.40.16.70

1.55.0

14.01.14.62.48.7

23.313.944.828.95.7

14.2

01102

1018

1100822

24200010

00.20.20

0.21.20.22.72.100

1.30.50.69.10.7000

0.10


269








1431002140321640431

142114010203110

151110

1.70.80.700

0.50.40.80

1.00.70.41.41.00

0.70.80.23.90.70.30.51.60

0.20

0.70

1.10.50.40

4.10.40.30.20

311011264101

1833010476033

426219202011612

100

0.40.30.70

0.30.30.81.22.40.30

0.44.30.70.60

0.30

1.12.31.60

1.20.9

75.44.1

34.50

0.70

0.40.21.60.40.72.30

50130251022131224010100031200000401141

0.60

0.70.90

0.51.90.20

0.70.75.00.20.50.40.70

0.20

0.3000

0.90.20.400000

0.90

0.40.30.90.6

5000000200200000000041100

16200

102416230000

0.6000000

0.400

0.7000000000

1.10.50.400

3.10.700

4.910.73.76.30000

000454161001

1302512

1021

30112

231777181

111007

0.60

2.70.6

13.21.61.16.25.21.41.40.21.10.33.03.20

2.1

000

2.22.20.60.51.60.300

0.21.70

0.61.60.60.6

0056616

107000700610

00

6.73.32.60.13.32.72.2000

0.900

1.90.60

233

124

42740

10294277

1823453962265

13

13.76.4

16.02.2

18.511.1

02.79.08.5

15.233.545.813.617.28.23.23.9



270









2116714011233406

0.50.20.60.72.20.61.60

0.50.40.81.41.61.60

1.6

0002200017031

2801

000

0.20.6000

0.53.00

1.40.5

11.20

0.3

9300

67400

4500

140

15950

130

25.100

8.212.4

018.3

00

6.00

7.14.72.00

35.4

0004200020000000

000

0.50.6000

0.90000000

36152

602722

57201683183

21101171

22149

20304

58541

3424

39213

620

150022512002025240300490

15230

2701110

0.70.50

2.600

1.10.40.90.20.200

0.60

0.40.91.11.00

0.500

0.41.10

2.42.70

6.10

0.30.30.20

4.03.50.6

10.23.90.81.1

10.33.52.60.70.90.42.41.13.81.70.54.20.43.44.61.62.03.80.79.16.50.37.70.81.1

10.74.70.6

2142

5440461687421

1067

11910

204090

112613718

432

463

520

124

23.50.5

15.36.80.62.50.61.11.4

12.30.20.34.11.82.7

21.60.20

50.70

1.40

1.92.61.6

12.81.35.10.6

10.41.2

14.90

2.70.8

1450

12500

141830617030190003730

48310

18000

200

1.51.20

2.00.700

2.53.20.50

1.90.42.10

0.50

0.52.2000

0.50.70.40

7.53.70

4.1000

4.50




271








0100211

139104

00.300

1.40.40.63.45.40.40

1.1

180001291813

0.32.8000

0.41.22.40.62.80.60.8

1494232012

23413001

40.914.75.11.40

0.41.2

61.37.700

0.3

21420000

310102

0.54.93.40000

8.10

0.40

0.6

3736222

11189841

25344206

13106

40

3.14.54.60

2.02.57.52.08.9

4.64.82.40.53.63.56.72.69.1

1212342

11084

0.12.82.51.00.72.10

2.60.9

05

134000010

00.7

14.80000

0.30





57222040111

133

1.01.90.30.50.60

0.60

0.20.30.32.00.2

1613

289740

705121445379

4974

32.10.8

38.41.61.30

100.017.670.099.71.2

15.30.3

33021001020002

1111

6.60

2.800

3.40.3000

0.617.50.1

420

643420

20210270

839

8.40

8.57.80.60

28.71.50.31.80

13.10.7

211030137001002

1.00.50.30

1.40

0.50.81.900

0.300

0.9

520034012

390

24140

2.61.000

1.41.80

0.30.68.50

6.50.41.20

10530570202910030

0.50

13.80

2.43.10

0.50

6.30.500

0.90

191

1616192700

34100

054

3923

9.70.54.29.49.1

11.900

9.421.8

01.41.5

12.110.5

272









2413122028946035

381

1642029

11156

15120

220

2.71.73.14.15.6

31.51.30

0.50.99.50.22.70.70.50

0.32.01.74.61.12.32.70

1.90

1018

42921

101815

2103012302

1010

100

1.10.12.18.61.80.70.23.00.21.50.31.13.50

0.80

0.10.40.50

0.41.50.20

0.90

5150

173180

00007000000080200000

0.60.11.30

34.760.4

0000

1.80000000

1.20

0.400000

01081410102800

10130

4261102

392010510100

014.33.62.02.00.71.700

1.932.60.94.31.80

0.55.50.40

0.30

7.70

0.200

203030202603201026054123

012191

141

1114

101157

1028132297

101101712

03.26.70.45.00.63.50.70.71.52.42.11.22.29.23.4

10.32.02.12.12.20

3.71.9

0.50

1.10

1.10

0.60

0.40.90

1.30.30

0.30

0.91.30

1.00.80.90.40.5

120796205

1052045

251214457123

0.25.42.54.02.11.20

3.51.80.70.40

0.71.18.33.10.50.91.21.01.40.90.40.5

435100

141

121085993029341010

1.00.81.80.400

4.40.72.21.51.82.11.52.01.00

0.92.00.90.80.20

0.20




273





MAYANTOCCAPASSAN JOSESAN JOSEPURACAMILINGMAYANTOCCAMILINGMONCADACONCEPCION

GayonggayongMarugluMaamotDavidMaasinSurgui 2ndCubcubPoblacion HSan PedroSan Martin

857

1004517123

15118

27.623.422.520.620.519.418.818.818.017.8


SAN JOSEMAYANTOCRAMOSSANTA IGNACIAMONCADACONCEPCIONCAPASVICTORIAPURASAN CLEMENTEGERONAANAOLA PAZCAMILINGBAMBANPANIQUISAN MANUEL

458348220363505

1,4931,11660317410558889374473448424125

12.111.49.69.49.39.29.08.58.58.48.27.97.57.37.26.15.9

274





Bottom 10 Barangays

SAN JOSEMAYANTOCCAPASBAMBANCAPASCAPASSAN JOSEGERONASAN JOSESAN JOSE

MaamotLabneyBuenoSanto NiñoSanta JulianaMarugluDavidCarbonelSulaBurgos

2225889

133157686530

13885

75.371.665.057.857.553.150.848.446.943.8


SAN JOSECAPASMAYANTOCSANTA IGNACIAVICTORIACONCEPCIONGERONAMONCADABAMBANANAOLA PAZSAN MANUELPURARAMOSSAN CLEMENTECAMILINGPANIQUI

1,0072,534559657

1,1502,7181,187840

1,065187778280289336184811836

38.431.530.628.526.126.026.025.024.724.423.722.421.921.721.219.519.1



275





SAN JOSESAN JOSECAPASBAMBANMAYANTOCCAPASSANTA IGNACIACAMILINGCAMILINGCONCEPCION

DavidMaamotBuenoSan VicenteLabneyMarugluCabugbuganLasongCayasanTinang

601185043263719154

56

17.315.914.512.311.89.99.39.18.38.1


SAN JOSECONCEPCIONSANTA IGNACIACAPASLA PAZVICTORIABAMBANCAMILINGMAYANTOCGERONARAMOSSAN MANUELPANIQUISAN CLEMENTEMONCADAPURAANAO

4231,08325073929739235933514234010176

247421706128

6.64.14.03.63.63.43.43.22.92.92.62.32.22.01.91.81.5

276


Table 3. Education Indicators, by Barangay, Province of Tarlac, 2014-2017


11 years old)





(12-15 years old)


15 yearsold)




31803469994543348036963748429232

124102

4936956252622265

114

12.911.28.88.79.1

11.114.05.96.25.66.25.44.24.86.5

15.68.93.9

163615567225252970456722233566227667

5961716498191185542061817

31.225.040.030.422.216.036.027.627.124.411.922.721.711.430.327.323.725.4

4711649

125171706863

15081

163597177

15854

200169

120310304200005214

2.11.70

2.40.60

4.40

2.72.50000

3.23.70.52.4

1,3466329782364231

1,017185715226196315206369271

1132877

2110612441139

21274620

8.44.47.28.55.84.36.0

13.05.75.84.66.7

13.112.57.4

8964658556

255187728134523126103207145230177

2218117124127

18730

12022293963

13343

24.717.420.021.416.114.425.722.422.917.528.218.843.457.824.3

2,2421,097182138619418

1,745319

1,238352299522351599448

643284

134

551529101010434517

2.92.94.42.92.11.03.24.72.32.83.31.9

12.37.53.8

6282982681401119322899221127808116521386951362511490200340

133

2576

13104

10162

10136556165

1432

1.63.73.19.35.05.4

14.04.44.04.5

12.62.5

12.37.92.85.85.34.44.05.35.67.09.4

445469

15068697217852

14892415999

1235069

105237675

106202

47

1826151319404

29185

1225271114234

13191553

9.113.026.117.322.118.826.422.57.7

19.619.612.220.325.322.022.020.321.917.417.125.314.226.2

10613616741820818016540615136921912114026433613616424148

190165306542

11

1020926837

1027

101227546

158

19

0.90.76.04.84.31.13.62.02.01.94.61.75.03.83.61.54.32.18.33.29.12.63.5





277



11 years old)





(12-15 years old)


15 yearsold)




7327

12814035

111253853458

134108188128

891788032

18212613512611384

12951

1426288929977

41

111637

22232

116

231907

10154

148

11107532

11123558

5.53.78.6

11.48.66.38.72.48.83.48.25.6

12.214.8

07.7

12.818.812.57.76.38.17.96.26.02.33.97.7

19.43.45.45.1

10.4

461578

1102345

1313923336265

121897

69514819

13266

1219066507336865862875179

6323162132071416183319110813329525211271061811107119

13.020.029.514.58.7

28.915.317.94.3

12.125.827.727.321.314.314.515.727.115.822.07.6

20.723.318.214.013.716.720.919.016.18.0

21.611.4

11942

20625058

1563841245791

19617330921715

16012912851

31419225621617913420287

228120150179150156

126804

1212143

21906571

121

1032145

1072245

0.84.82.93.20

2.63.10.83.51.12.01.76.84.10

3.83.95.52.03.80.53.91.41.10.72.05.74.45.81.31.12.73.2

667209

2,169340

1,197594365331291246201244

1,480496

1,245264270488741541

6637

1942810750293026231357

10870

1141824324248

9.917.78.98.28.98.47.99.18.99.36.5

23.47.3

14.19.26.88.96.65.78.9

4911371512216717350301208229164123128933273808154159295499337

15689

42656

254139713655443268

277157244455873

15896

31.865.028.225.935.439.723.617.324.026.826.053.129.757.530.229.236.524.731.728.5

1,158346

3,681556

1,914944666539520410324372

2,413769

2,053418429783

1,240878

2250

1345

70205

111587

3781609118195

4635

1.914.53.60.93.72.10.82.02.92.02.29.93.47.84.44.34.40.63.74.0



278




11 years old)





(12-15 years old)


15 yearsold)




748458332158556362232429151441297155268214182291166267354203389733352302766382

1,13138745

379420272530181705484

1514151557218229202125433

81581512483217216

42356

111612406

203717468032246524142448

483727392171560

451140132351743

10.812.74.57.68.68.87.34.94.09.5

11.83.94.17.56.6

13.73.67.5

10.58.4

11.810.99.17.98.56.3

12.611.417.812.78.89.97.4

11.610.111.6

08.87.37.26.0102.5

13.69.9

55729618979

36420813326677

28220411823811611922611819025717721644823215053519371621526

273268149345140468308

136394

33212715513781

260

1546653197945345323675523403129612546534761

1385236

15846

2272894285458031147110

09717

1022337293085

27.622.328.024.121.721.625.619.929.923.827.019.516.826.724.427.021.224.220.626.628.230.822.424.029.523.831.713.034.615.431.730.223.222.131.435.7

026.718.130.718.123.921.237.032.7

1,305754521237920570365695228723501273506330301517284457611380605

1,181584452

1,301575

1,84760271

652688421875321

1,173792

2877245889345384339206693

5934317

152111271213218

19121111106

23153433241467199192

143216431467520

257

549

12167

56

4.54.56.03.01.63.73.03.95.31.84.22.93.83.63.72.13.51.33.83.95.62.84.13.15.13.34.91.52.82.14.73.84.94.45.76.60

2.92.96.12.63.14.73.48.1

309140209881071293161551282748020971

126

239

1282

16341418196

196

18

7.46.45.79.11.9

12.410.89.0

14.16.97.59.18.5

14.3

181109155486478

2138462

20061

1214692

43184087

226117304623321537

23.816.525.816.710.928.228.620.248.423.037.726.432.640.2

490249364136171207529239190474141330117218

1164136

306

15123

1348

2.22.41.10.71.82.95.72.57.92.52.13.93.43.7




279



11 years old)





(12-15 years old)


15 yearsold)




210195350161119151729576

2322851921796624782

13516798

330509977

15833

134114478105160

222236137

13653

151518193

128

11147

31367

12178

4488

10.511.310.38.15.98.68.35.33.96.55.39.4

10.64.54.99.88.18.47.19.46.06.19.17.63.05.27.09.27.65.0

12211324310678

103445439

16221310410770

15940

116915817036725387237072

3066087

513960311527139113945332118448503084281015229819661225

41.834.524.729.219.226.229.516.728.224.121.131.719.625.727.720.043.133.013.824.722.213.928.325.339.111.426.421.620.028.7

3323085932671972541161491153944982962861364061222512581565008617113024556

204186784165247

131616923523

1314395

105

141544352

11255866

3.95.22.73.41.01.24.31.32.63.32.81.03.13.72.54.15.65.82.60.83.52.91.54.53.62.52.71.03.62.4

7641

177567046

74

246

116

9.29.8

13.610.715.713.0

5832

111343337

13143612116

22.443.832.435.333.316.2

13473

28890

10383

532321

3.74.10.73.31.91.2

158305247219483178308153340107209353197189152153174135206468242

72121163217211624108

29132414994

15577

4.46.98.57.36.69.66.8

10.57.19.33.88.26.6

12.79.25.95.23.07.3

12.22.9

10820515112936016020311019156

123221120107111979174

152347160

2046372476504530419364317393017291227

11040

18.522.424.518.621.131.222.227.321.516.129.319.514.236.427.017.531.916.217.831.725.0

266510398348843338511263531163332574317296263250265209358815402

522177

25191910204

1518131565

153

113216

1.94.34.32.03.05.63.73.83.82.54.53.14.15.12.32.05.71.43.13.94.0




280




11 years old)





(12-15 years old)


15 yearsold)




39162974

1392756717718725820722332310111512580

152

0384

24305

142534172933101399

23

018.827.65.417.310.97.57.9

13.413.28.2

13.010.29.9

11.37.2

11.215.1

3411155581

13648

11483

1381451291917681643783

715115849101934345024542430211422

20.69.1

33.320.071.636.020.816.741.024.634.518.628.331.637.032.837.826.5

732744

129220411115291270396352352514177196189117235

1121

2611138898

137745

11

1.43.74.50.811.82.70.91.03.02.02.62.32.54.03.62.14.34.7

3601785414212914212615572110119130168174202257167192173103193871111332231901306114372921552158413418080

43122

189

1516111

13181314221815161397

23101012241413112376

101667

1612

11.96.73.7

12.77.0

10.612.77.11.4

11.815.110.08.3

12.68.95.89.66.85.26.8

11.911.59.09.0

10.87.4

10.018.016.19.76.56.57.47.15.28.9

15.0

23211832789774659949868666

1111151061547490

10377

148435691

1341128544884563

1051326196

11533

62253

1815122420162023121921253622222321431219174321288

258

2127391922409

26.721.29.423.115.516.236.920.232.723.326.718.217.118.323.623.429.724.422.327.329.127.933.918.732.118.832.918.228.417.833.325.729.531.122.934.827.3

59229686

220226216191254121196205196279289308411241282276180341130167224357302215105231117155260347145230295113

153043275073234472

1141692793327125545

103

2.51.00

1.81.30.93.72.00

3.61.51.01.11.41.31.70.83.91.40.61.86.91.23.12.51.01.41.93.00.91.31.91.42.82.23.42.7




281



11 years old)





(12-15 years old)


15 yearsold)




4211701702561688249

2162422513731241111246119722773

16086

22510325842738119829239812820185

142131205182

29121118111028

1511223443

102654

10196

1543281011246555

12107

6.97.16.57.06.5

12.24.13.76.24.45.92.43.63.24.95.1

11.56.82.5

11.68.45.85.8

10.17.35.13.86.04.72.55.93.59.24.93.8

25911699

16498473414717316526064667158

13614647

11154

154491472642429417125883

106678291

132131

55211839218324213156101891020386191031933703814225220241014172124

21.218.118.223.821.417.08.8

16.312.118.821.515.627.312.717.214.726.012.817.118.520.118.422.426.515.714.912.920.224.122.614.917.118.715.918.3

68028626942026612983

363415416633188177195119333373120271140379152405691623292463656211307152224222337313

19118830128

111423226

21122436

24156

14166417564

2.83.83.01.91.10

1.20.61.92.62.21.11.71.01.71.85.60.80.71.41.12.01.53.52.42.13.02.42.81.30.73.12.31.81.3



15818890

34414883

12575

10697

1007563

10595

185

16197

2341795

10107

1057817

10.110.17.86.72.7

20.57.26.79.4

10.37.0

13.37.96.78.49.2

13313544

257944561416362595256715097

242116502317117202012101517818

18.015.636.419.524.537.818.017.131.732.320.319.226.823.916.018.6

291323134601242128186116169159159127119176145282

355

13362323332143

1.01.53.72.21.24.71.12.61.21.91.92.41.70.62.81.1

282




11 years old)





(12-15 years old)


15 yearsold)




37043846914115324965

148263

4538411418236

1223

12.28.78.79.9

11.89.29.28.18.7

26929126110110219551

103174

587039271948162732

21.624.114.926.718.624.631.426.218.4

639729730242255444116251437

122328104

1004

10

1.93.23.84.11.62.30

1.62.3

10511621668109130782071982709515513915471

812157325176

12126

1073

7.610.36.9

10.32.81.56.48.23.04.4

12.63.97.24.54.2

6257

12046797937

10910416869

109768946

161529101615103019231527162910

25.826.324.221.720.319.027.027.518.313.721.724.821.132.621.7

167173336114188209115316302438164264215243117

925255295556682

5.41.21.51.82.72.41.72.81.71.13.02.32.83.31.7





1891142657799171

2008213254159

161422

1075

15894

13

8.512.37.73.5

12.77.77.07.59.86.87.48.2

1271061436485841

146569731

108

19232583

125514178

18

15.021.714.313.916.75.229.337.725.017.525.816.7

3162204093

12714911234613822985

267

4711403

115510

1.33.22.51.13.10

2.73.23.62.21.20

238218362215178148445343377187162392532

38453415178

100232724104176

16.020.69.47.09.65.4

22.56.77.2

12.86.2

10.514.3

194128291142111137295218226136107294345

856594373832

22234574634

138125

43.850.832.326.134.223.475.315.625.233.831.846.936.2

432346653357289285740561603323269686877

34603310187

118112115114936

7.917.35.12.86.22.5

15.92.03.54.64.17.14.1


283



11 years old)





(12-15 years old)


15 yearsold)




14913911910113180

13870

21530820311822215416218212822493

23019247

205264

1221149

12378

31362910159

15238

186

18142

1528

8.115.111.88.99.23.85.1

11.414.411.714.38.56.85.89.3

12.66.28.06.57.87.34.37.3

10.6

9585897173447833

12918911073

14910477

11268

11664

10413228

139141

2234242824181385155232034262338214117344563220

23.240.027.039.432.940.916.724.239.529.120.927.422.825.029.933.930.935.326.632.734.121.423.014.2

24422420817220412421610334449731319137125823929419634015733432475

344405

61587

19544

2024131210129

134

1158

200

129

2.56.73.84.19.34.01.93.95.84.84.26.32.74.73.84.42.03.23.22.46.20

3.52.2

529335171291231171252178226254212248328293196183360246331178244339201257619188

3018122225172220141121162424162131272830172210218420

5.75.47.07.6

10.89.98.7

11.26.24.39.96.57.38.28.2

11.58.6

11.08.5

16.97.06.55.08.2

13.610.6

34019714117912070

12693

140151111123216166109114266173232162173192146163382114

853433623119222117383826624623276634515944713657

11434

25.017.323.434.625.827.117.522.612.125.234.221.128.727.721.123.724.819.722.036.425.437.024.735.029.829.8

869532312470351241378271366405323371544459305297626419563340417531347420

1001302

44117

201069

111

13142029138

10221011227

2710133410

5.12.12.24.32.82.52.44.10.33.24.35.45.32.82.63.43.52.42.06.51.75.12.93.13.43.3



284






GERONASAN JOSESAN CLEMENTEMAYANTOCCONCEPCIONGERONAMAYANTOCSAN JOSESAN JOSEPURA

DicolorDavidCasipoLabneyCastilloSembranoManiniogPaoMorionesMaungib

44336754

207600303165340567258

98.297.391.591.290.890.789.789.589.289.0


LA PAZSAN JOSESAN CLEMENTEMAYANTOCSANTA IGNACIAVICTORIAMONCADACAMILINGSAN MANUELGERONARAMOSPURAANAOPANIQUIBAMBANCONCEPCIONCAPAS

7,5105,3661,8184,5795,7328,7398,0409,6452,490

10,3532,6292,7751,2678,3774,844

13,4628,113

78.274.066.765.463.763.462.562.260.058.057.957.453.448.342.241.931.4


285





Bottom 10 Barangays

GERONASAN JOSEGERONACONCEPCIONGERONAMAYANTOCSAN CLEMENTEMAYANTOCCAPASLA PAZ

DicolorDavidSembranoCastilloCaturayLabneyCasipoManiniogSanta JulianaLaungcupang

43636330257323418949

152617278

96.796.390.486.784.883.383.182.681.981.3


LA PAZSAN JOSESAN CLEMENTEMAYANTOCSANTA IGNACIAVICTORIACAMILINGMONCADAGERONASAN MANUELPURARAMOSANAOPANIQUIBAMBANCONCEPCIONCAPAS

6,6654,4671,5023,7654,7067,2097,8056,3818,4541,8912,2032,047946

5,7763,6229,5565,269

69.461.655.153.852.352.350.349.647.345.545.545.139.833.331.629.720.4

286






VICTORIACAPASGERONAVICTORIAVICTORIAGERONAMONCADACAMILINGVICTORIACONCEPCION

CruzBuenoSanta LuciaBangarBalayangTangcaranSanta MonicaManupegSan FranciscoCalius Gueco

33620178

2123014973114433

84.268.843.843.339.823.719.915.513.613.4


VICTORIACAMILINGMAYANTOCSANTA IGNACIACAPASLA PAZSAN JOSEMONCADAGERONAPANIQUICONCEPCIONPURASAN MANUELRAMOSSAN CLEMENTEANAOBAMBAN

1,2834551952315001248014118716426932201796

11

9.32.92.82.61.91.31.11.11.00.90.80.70.50.40.30.30.1


287

Table 4. Income Poverty and Hunger Indicators, by Barangay, Province of Tarlac, 2014-2017

30884190112535129111489651256111346107115

38.059.168.365.256.061.651.536.767.745.346.458.626.956.060.451.145.555.8

136932748345461684297641164381357687

16.546.353.353.641.552.346.520.351.227.436.747.117.239.443.338.932.342.2

000000001000014000

00000000

0.60000

0.92.1000

9373062051

452242

1,01598

5904264

236243343205

32.327.88.9

33.374.851.655.936.241.110.320.341.072.574.250.5

6541931429

39219282653

4062040177215281130

22.517.66.2

19.064.940.945.519.628.34.9

12.730.864.260.832.0

000000602003000

000000

0.30

0.100

0.5000






8614116144316817619941814737018211613521631714514612535179114255586

54.466.854.873.363.270.471.670.661.268.558.370.363.150.672.070.770.938.858.380.648.347.670.7

661141323771261321653411203081491011041642771091089631

15682

199489

41.854.044.962.447.452.859.457.650.057.047.861.248.638.463.053.252.429.851.770.334.737.159.0

084

342230

274

1413956

1400431701

29

03.81.45.68.31.20

4.61.72.64.25.52.31.43.200

1.25.07.70

0.23.5


BAMBAN


AnupulBanabaBangcuCulubasaDela CruzLa PazLourdesMalonzoSan Nicolas (Pob.)San PedroSan RafaelSan RoqueSan VicenteSanto NiñoVirgen de los Remedios(Pacalcal)

288



84452012075315540895501001601233192052216376

1088130818521017523711516171

1148013310615382

56.463.464.052.458.267.173.953.751.566.274.160.676.362.150.059.541.360.066.470.063.164.661.471.258.456.962.341.037.250.440.686.034.3

6938

16115337

119354713581

13598

26917618

118648462

26114116014920184

134628948

11377

13563

46.353.551.338.740.751.564.140.136.153.662.548.364.453.340.943.134.846.750.859.348.149.252.360.442.647.354.432.022.342.829.575.826.4

1611150

11117006

120

285011

156

231012760635151

131

10.715.54.80

12.10.43.100

4.05.60

6.71.50

0.40.58.34.95.23.43.72.51.80

2.12.61.80.51.90.47.30.4






394208

1256253637347279183200104117349

1,088669734149111426221388

24.571.223.829.731.730.025.936.017.926.324.480.637.088.833.536.323.635.714.235.6

2311618441453822351551331124861

270659617454945929785

227

14.455.116.017.019.020.314.426.110.012.112.762.422.481.920.722.912.624.95.5

20.8

7201280

400001110

3418

101013

4915

0.468.80.50

2.0000

0.10.30.20

1.22.44.60

0.20.33.11.4




289


43258513211569460012029683575200122464162152267881284681632864243992186542744261773228524610435382852642532738936518518337758579

27.164.823.346.664.190.828.144.937.159.239.747.877.139.048.936.933.122.768.446.746.834.258.649.441.143.321.019.637.627.630.825.131.421.862.864.25.7

26.130.743.848.849.956.024.853.7

24843862704975735417759

43611569

3541061022245563

3841102052942861395681972061181817916453

21240

57858935

16750

23713211926135478

15.648.510.928.345.986.712.626.926.344.922.827.158.825.532.830.920.711.256.131.533.623.742.031.535.731.110.113.021.217.320.512.818.910.642.658.93.816.017.228.434.832.438.815.044.3

000

33200003030002013000091

330070003300000

3140

891923

000

13.40.20000

0.30

1.2000

0.30

0.20.40000

2.00.15.200

8.2000

0.30.800000

3.71.10

13.28.12.1

24419423211738116621931111321424488

443166

37.358.852.653.775.751.938.672.849.834.788.421.398.268.6

18916017299

32711412427010710823437

436114

28.948.539.045.465.035.621.963.247.117.584.89.0

96.747.1

30000050122010

0.500000

0.90

0.40.30.70

0.20








290



15588499155103287172861351075011292901003161939042934322626934312828530352323711136267

38.223.862.540.526.274.068.041.368.221.770.641.672.340.383.874.832.863.779.034.087.183.571.963.290.719.981.868.965.774.8

7944

4209870

26014469

11342

42481

26377

29117337

36730815224130410721430233

292607113238

19.511.952.625.617.867.056.933.257.18.559.726.165.631.077.267.113.554.571.022.978.074.060.147.590.412.673.958.854.666.7

0060102200606601202

1100

7800010

490

00

0.80

0.30

0.81.000

0.80

1.52.40

0.40.70

0.51.700

43.8000

0.30

23.70






280400337330607742497211446180295481317252197251243222289612321

76.984.476.882.366.385.983.271.885.082.286.375.680.375.074.383.482.779.669.070.385.8

252375304297505655459188394160278410291222179210226200248516296

69.279.169.274.155.275.876.963.975.073.181.364.573.766.167.569.876.971.759.259.279.1

140202

104

21101211131013030107

0.30.80

0.50

0.21.71.44.04.63.51.73.33.04.90

1.00

0.20

1.9

9964

264928387

61.162.771.972.463.479.8

7546

215776477

46.345.158.660.648.970.6

711181

106

4.310.84.90.87.65.5





291


1122652141207492165212270378330309199197200227110263

66.755.369.378.391.273.889.757.383.376.165.256.826.468.955.471.669.678.0

892246

126189427152141243322269236120161146188102232

53.046.861.370.083.364.082.638.175.064.853.243.415.956.340.459.364.668.8

70159

1301

358424

158

191

10

4.20

1.32.84.01.90

0.310.81.60.80.40.55.22.26.00.63.0

54522770

21514722816326411217410214625425326336624427420617924811365197436426183112195165188329211159193286102

65.059.152.264.448.259.861.352.367.560.037.156.661.261.754.268.461.556.857.258.567.257.925.856.377.283.268.560.569.180.983.976.757.768.265.265.961.4

4151725216999171124192901347211020819118128919421616713620373361513973871538316215417827316612114323485

49.544.838.850.632.544.946.638.054.246.226.242.650.146.637.354.048.944.846.444.455.037.414.343.170.375.657.344.957.475.579.563.645.451.948.353.951.2

20003000003001200300

1202061

2100480

730000

0.2000

1.000000

1.100

0.20.400

0.600

3.30

0.80

1.10.27.900

2.03.60

19.90000








292



43515010327037211711931925823571312492

111157174406106194182453199156454335161273352218248107195273171145

47.935.429.345.953.948.068.457.545.538.962.438.437.733.459.731.670.756.148.376.570.664.827.146.142.129.142.942.165.955.942.155.774.838.630.8

28310234

1892519599

21517715454584657598

11236573

14413532214668

30924577

18025513516656

14019911271

31.124.19.7

32.136.438.956.938.731.225.547.726.026.622.637.320.363.638.635.856.750.247.611.831.430.813.928.330.540.837.422.040.054.525.315.1

159001000

113010

100300100002

250

35180

13000170

1.72.100

0.1000

1.90.50

0.30

3.00

0.500

0.20000

0.23.10

5.52.20

2.9000

3.80






19042410042020913112025812811111911192

12869

165

51.474.063.751.664.982.448.889.059.047.847.652.447.751.037.545.0

12638883

31316811586

22810496977768

11233

109

34.167.752.938.552.272.335.078.647.941.438.836.335.244.617.929.7

000

29000000010200

000

3.60000000

0.50

0.800




293


48246345823217930659163287

60.061.950.660.759.159.844.053.363.9

37936535317714925440

114216

47.248.839.046.349.249.629.937.348.1

090000521

01.20000

3.70.70.2

139185549772177114293138165111273

38.264.791.570.348.679.470.876.782.158.171.276.9

1101514984501519225312312291226

30.252.883.160.933.867.757.166.273.243.058.363.7

000000081000

0000000

2.10.6000






428367574292210228595420567340162329854

85.397.376.366.766.578.184.461.089.289.550.351.871.0

380363463232148201495318509299104222733

75.796.361.653.046.868.870.246.280.078.732.335.060.9

160

152909400

2410

3.20

2.00.52.80

1.30.600

7.50.20

12411819612714415410523923731299

189144171131

63.658.450.974.369.267.855.960.465.768.052.751.554.353.159.8

86831411031141158220016325173144110116110

44.141.136.660.254.850.743.650.545.254.738.839.241.536.050.2

0100

105000102001

00.500

4.82.2000

0.20

0.500

0.5





294



23624918714817311522987

34045229713836027318322618424823132633664

284366

58.967.165.866.161.668.972.261.762.866.765.758.561.161.360.458.486.054.968.568.368.459.861.557.1

19320516312615388

18666

28138924711329923513717716119919127429750

200276

48.155.357.456.254.452.758.746.851.957.454.647.950.852.845.245.775.244.056.757.460.546.743.343.1

41712212

1203

33301162308

131901

26620

1.04.64.29.40.77.20

2.16.14.42.42.50.30.70

2.16.14.20

0.25.35.60.40

556583300286371195208280360240344354392513303286354292274285196426282306476277

62.277.076.958.474.365.444.685.463.644.986.277.065.284.277.576.550.164.042.688.235.164.162.765.841.983.2

442532273228323162148255309164310317340463255244252228199253133343241250296249

49.470.370.046.564.754.431.877.754.630.777.768.956.676.065.265.235.650.030.978.323.851.653.653.826.174.8

113301

0212190

56005

336335110

16539

441

3540120

12.639.8

043.33.80

12.000

0.984.27.20.80.20.30

2.311.61.4

13.60.25.38.90.20.20









295





SAN JOSECONCEPCIONPANIQUIGERONAGERONAMAYANTOCSAN CLEMENTEPANIQUIMAYANTOCMONCADA

MaamotTalimunduc San MiguelNagmisaanBawaSalapunganPitombayogPit-aoSinigpitPedro L. QuinesPoblacion 2

23041896

19515416512381

168163

96.249.944.733.129.928.127.026.024.824.3


MAYANTOCSAN JOSEBAMBANSANTA IGNACIACAPASSAN CLEMENTESAN MANUELPANIQUILA PAZPURARAMOSVICTORIACONCEPCIONGERONAMONCADACAMILINGANAO

1,2801,0421,582

9172,973323391

1,770992393472

1,2752,8821,271903815152

14.814.111.49.29.09.08.98.58.37.97.36.76.66.46.25.14.4

296


Map 29. Proportion of Persons who are Victims of Crime, by Municipality, 2014-2017



Bottom 10 Barangays

CAMILINGCONCEPCIONGERONAMONCADASAN JOSECAMILINGCAMILINGSAN MANUELCONCEPCIONSAN CLEMENTE

Bobon 2ndDunganTangcaranSanta MonicaSan Juan de ValdezNagrambacanPoblacion HMatarannocCalius GuecoDaldalayap

7424412221

0.60.40.30.30.30.30.30.20.20.2


CAMILINGCONCEPCIONGERONAVICTORIACAPASMONCADALA PAZMAYANTOCSAN JOSEPANIQUIPURASAN MANUELANAOSANTA IGNACIASAN CLEMENTERAMOSBAMBAN

27272117171186644332200

0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.000



297

Table 5. Unemployment and Victims of Crime Indicators, by Barangay,Province of Tarlac, 2014-2017






11518590

191290118150107250167308110154153274138351275

4132

1510346

146

16575

247

101

3.57.02.27.93.42.52.75.65.63.65.24.54.53.38.85.12.80.4

000000000100001010

000000000

0.20000

0.10

0.10

3,5391,566252181537623

1,953308

1,640502454786391741448

490372

41911

1313640

14593

12433

12144

13.823.81.6

10.52.0

21.01.8

13.08.81.80.7

15.88.4

16.39.8

000000000000000

000000000000000

15819332866340322319656326361136218721645643618321432364

226225534714

51310442256

3716403498

357

1014123

226

1049

3.26.73.06.65.52.23.16.66.16.59.44.83.77.71.65.56.53.74.79.72.71.96.9

00002010017100000000002

0000

0.20

0.1000

0.60.20000000000

0.1


BAMBAN



298








2091233073861392565722058514726820543428142

250195190114454338350269256192333143341231260278156254

127

1915191627969

195

38125083

23172095

16226

133

132092

5.75.76.23.9

13.76.24.74.47.16.17.12.48.80.44.82.00

4.22.65.15.05.73.32.08.36.64.23.81.35.07.25.80.8

101010300110000002000100000002000

0.20

0.10

0.30

0.100

0.20.1000000

0.3000

0.10000000

0.2000

2,010487

5,6951,2272,8261,3931,300754

1,171636626529

3,588880

3,275471643

1,5952,0811,683

13011

59011821864

12211280164332

23222

2193844

273243366

6.52.3

10.49.67.74.69.4

14.96.82.56.96.06.52.56.78.16.817.111.721.7

01407000100001000021

00.10.00

0.1000

0.00000

0.00000

0.00.0




299







2,5751,190788433

1,250936560

1,052344985873442754535458785475797

1,153589782

2,006899616

1,9761,0552,8651,027119

1,3891,209705

1,426512

1,6271,382702

1,212418

1,179634600838291

1,502

248665

49119119

4429

114676

67155

305698

1544186891

31448690167

123348372

30231115175

5010941816

292

9.65.50.6

11.39.5

12.70.74.02.6

11.67.71.48.92.81.13.8

11.812.313.47.0

11.04.40.15.02.28.23.11.65.90.92.76.82.60.41.81.71.61.24.10.47.9

18.249.95.5

19.4

000220004011000101100301111000000140001100000

000

0.20.0000

0.40

0.00.1000

0.00

0.00.000

0.10

0.00.00.00.0000000

0.10.1000

0.10.000000

849339504214590340719332307913132574117278

805

263

19513421640301079

9.41.55.21.4

33.13.85.84.8133.30.80

6.03.2

00000010002010

000000

0.0000

0.20

0.10



300








512655

1,117517461473220265180637

1,106428526341465207357515286905161304287368

9341310

1,071217493

1211832

314513286

12282823121949

154698

4014170

360

545149

2.31.77.40.46.79.55.910.63.31.92.56.54.43.54.11.92.529.92.11.05.013.24.94.60

10.60

5.023.59.9

010000000002100002260010000020

00.1000000000

0.10.10000

0.10.20.200

0.100000

0.30

467643498466915856707354693291446776545435321345413378561

1,350445

2239142739134726632131574939337

38245032726

4.76.12.85.84.31.56.67.39.17.27.07.39.09.0

10.32.09.26.38.9

24.25.8

000000020020010000012

0000000

0.200

0.100

0.100000

0.00.1

255133463152168117

221390162624

8.69.8

19.410.515.520.5

101000

0.20

0.1000





301







1855686

219303831213605415677587674806347413369189414

167

181349

1614

7329

168165107143477861652

8.612.520.95.9

16.219.41.9

12.17.0

24.828.115.91.79.8

18.623.38.5

12.6

000000020100000010

0000000

0.10

0.1000000

0.20

1,032432163356450460292501169338348287462432590515400547534347671277379384411450288212325190215415511244329499191

1317136

219217107

30699

10211049176

1631126168528471612214912959

118

12

1.33.98.01.74.72.00.73.45.92.18.62.11.92.11.74.12.59.03.21.7

24.34.06.94.2

20.76.2

16.37.53.7

11.122.82.9

18.63.73.31.66.3

0000000000000301000000110010000040000

0000000000000

0.20

0.1000000

0.10.100

0.100000

0.30000



302








1,254551437812632217158648757767

1,292358244431269741451246494215588289768

1,2161,206615890

1,188368568259416311614620

112312039194

2025747790293

36296733243896446257

1021411672

11931402933815225

8.95.64.64.83.01.812.73.99.810.07.08.11.28.410.89.07.39.87.7

44.77.5

21.57.48.411.72.68.110.08.47.0

11.27.9

26.08.54.0

00000000000000010000000020010000000

000000000000000

0.100000000

0.100

0.00000000

338369160

1,00038283264141228203291259239286289436

352812653815270

1417161614312342

10.47.67.56.59.9

18.110.2

06.18.45.56.25.9

10.88.09.6

1001100000010000

0.100

0.00.1000000

0.10000




303







1,1641,0861,272391454725204446687

11065

106184739101958

9.56.08.34.610.45.44.94.38.4

000000000

000000000

59134899860849948023969733764447379

1,689

626657141988

230145

227446

111

10.519.05.723.219.61.796.220.80.63.116.612.16.6

1000010000400

0.00000

0.10000

0.300

200257420134217234235432329419232423284355209

1816251331328

1880271041222426

9.06.26.09.7

14.313.73.44.2

24.36.44.39.77.76.8

12.4

000020001000000

0000

0.2000

0.1000000





51037367164207285232507214455162430

26250

1122256

220

1232241

5.16.70

6.710.68.82.64.30

27.013.69.5

000010000001

0000

0.2000000

0.1

304








404351359283364197364162534755470272615406395419228570324532561134586701

6635391927203417469142103221323912648

24451055129

16.310.010.96.77.4

10.29.3

10.58.6

12.18.93.75.25.28.19.35.3

11.22.54.58.07.59.4

18.4

000000000200000000000000

000000000

0.100000000000000

1,525872409692595372718386753903377534826827544456

1,123667895544899987539547

1,638389

725513303752052613916151294116665255580

1853689529

4.76.33.20.40

0.810.45.26.96.8

10.33.0

18.33.57.53.55.97.80.6

10.18.9

18.76.7

16.33.22.3

10210010311000000002101102

0.00

0.10.000

0.10

0.10.00.100000000

0.10.00

0.10.10

0.1




305





Bottom 10 Barangays

SAN JOSEGERONAVICTORIASAN JOSECAPASMAYANTOCSAN JOSEGERONAMONCADAGERONA

MaamotCaturayCruzPaoBuenoLabneyMorionesDicolorSan JuanSanta Lucia

3.23.23.02.72.62.42.42.42.42.4

AverageMunicipality

SAN JOSELA PAZMAYANTOCSAN CLEMENTEVICTORIACAMILINGSANTA IGNACIASAN MANUELMONCADARAMOSGERONAPURAPANIQUIANAOBAMBANCONCEPCIONCAPAS

1.91.81.61.51.51.41.41.31.31.31.21.21.01.01.00.90.8

306


Table 6. CBMS Composite Indicator, by Barangay, Province of Tarlac, 2014-2017


Municipality

0.61.21.31.31.01.21.10.71.30.80.91.10.61.01.31.00.81.0

1.31.61.41.01.41.41.61.11.01.42.01.31.81.21.01.20.91.41.41.61.31.51.31.41.21.31.51.00.71.10.92.00.7

0.52.60.60.81.00.60.70.90.40.50.51.70.82.30.70.70.61.00.81.2

0.80.80.20.71.51.11.10.70.80.20.41.01.62.31.0

1.11.41.21.71.51.31.51.61.31.51.31.51.31.11.51.51.60.81.41.91.01.01.6



BAMBAN






307



Municipality

0.61.20.51.21.22.00.40.90.81.20.90.81.50.70.90.70.80.51.60.91.20.81.00.90.91.00.40.40.80.50.60.60.60.41.21.30.40.50.60.91.01.31.50.61.4

0.80.61.51.41.61.40.41.41.01.50.81.81.60.71.41.60.71.91.72.41.21.90.51.71.32.11.6

2.01.92.02.01.71.71.91.62.01.92.21.81.91.81.91.92.02.21.81.62.0

1.51.71.61.61.51.81.51.21.81.72.41.71.81.32.0

0.91.21.01.01.70.90.81.61.20.63.20.32.41.30.80.51.3



GERONA MalayepMatapitapMatayumcabNew SalemOloybuayaPadapadaParsolinganPinasling (Pinasung)PlastadoPoblacion 1Poblacion 2Poblacion 3QuezonRizalSalapunganSan AgustinSan AntonioSan BartolomeSan JoseSanta LuciaSantiagoSembranoSingatSulipaTagumbaoTangcaranVilla Paz

MAYANTOC AmbalingitBaybayaoasBigbigaBinbinacaCalabtanganCaocaoayanCarabaoanCubcubGayonggayongGossoodLabneyMamonitManiniogMapandanNambalan

GERONA AbagonAmacalanApsayanAysonBawaBuenlagBularitCalayaanCarbonelCardonaCaturayDanzoDicolorDon BasilioLunaMabiniMagaspac


308




Municipality

1.81.61.51.01.51.31.71.51.7

1.20.80.61.11.01.01.41.21.00.91.20.80.80.81.10.91.51.11.51.71.31.30.51.01.00.61.11.11.21.30.81.21.60.90.5

1.21.51.31.11.41.71.21.71.11.10.91.11.01.20.71.2

1.21.11.01.20.91.11.11.01.31.10.81.11.21.11.01.31.11.11.11.11.61.10.51.12.41.71.91.11.31.72.01.51.61.31.21.31.2





MAYANTOC Pedro L. QuinesPitombayogPoblacion NortePoblacion SurRotrottoocSan BartolomeSan JoseTaldiapanTangcarang


309



Municipality

1.31.41.31.21.31.31.01.11.4

1.31.11.11.51.61.51.11.21.41.71.01.11.11.11.3

1.31.51.51.51.41.41.51.31.41.51.41.21.21.31.41.31.91.21.31.41.51.21.21.2

1.42.11.61.71.92.21.11.71.30.93.01.61.61.71.51.51.11.40.82.10.81.61.41.40.81.6

1.21.51.81.41.01.61.42.31.71.41.41.5

2.32.22.01.61.51.63.21.52.42.71.11.51.4








The Many Faces of

PovertyVolume 9

the official poverty monitoring system (pms) in the philippines relies mainly on family income and...

Documents