The Many Faces of PovertyDinagat Islands Sarangani Southern Leyte i 1 3 9 61 95 139 201 247 281 FOREWORDFOREWORD The official poverty monitoring system (PMS) in the Philippines relies

The Many Faces of

PovertyVolume 2

The Many Faces of Poverty: Volume 2Copyright © PEP-CBMS Network Office, 2011

ALL RIGHTS RESERVED.No par t of this publication may be reproduced, stored in a retrievalsystem, or transmitted in any form or by any means—whethervir tual, electronic, mechanical, photocopying, recording, orotherwise—without the written permission of the copyright owner.

Acknowledgements

The publication of this volume has been made possible through the PEP-CBMS Network Office based at the Angelo King Institute for Economicand Business Studies of De La Salle University-Manila with the aid of agrant from the International Development Research Centre (IDRC), Ottawa,Canada and the Canadian International Development Agency (CIDA).

CONTENTSCONTENTS

Foreword

Introduction

Explanatory Text

The Many Faces of Poverty

Agusan del Sur

Marinduque

Oriental Mindoro

Palawan

Dinagat Islands

Sarangani

Southern Leyte

i

1

3

9

61

95

139

201

247

281

FOREWORDFOREWORDThe official poverty monitoring system (PMS) in the Philippines relies mainly on family income andexpenditure surveys. Information on other aspects of well-being is generally obtained fromrepresentative health surveys, national population and housing censuses, and others. However, thesesurveys 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-demographicgroups of interest at a specific point in time; and (iii) have sampling designs that do not usuallycorrespond to the geographical disaggregation needed by local government units (LGUs). In addition,the implementation of the decentralization policy, which devolves to LGUs the function of deliveringbasic services, creates greater demand for data at the local level.

The Community-Based Monitoring System (CBMS) seeks to address these gaps by providingdata at the local level appropriate for diagnosing the cause and extent of local poverty, formulatingappropriate policies and programs, identifying eligible beneficiaries, and assessing the impact ofpolicies and programs. It also supports the decentralization process by capacitating the LGUs tocollect, analyze, and use data in local planning, budgeting, and program implementation.

This second volume of statistical tables and poverty maps of seven provinces generated throughthe CBMS methodology represents part of what we hope will be a series of publications that willemerge from the collaborations between the CBMS Network Coordinating Team and its partner-LGUs.These partnerships have been in place for several years now, and these partner-LGUs are finally enjoyingthe 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 identifyingthe most pressing needs of the community, assist in prioritizing interventions to address theseneeds, and facilitate the targeting of programs for those who need the assistance most.

The provinces featured in this volume are Agusan del Sur, Dinagat Islands, Marinduque, OrientalMindoro, Palawan, Sarangani, and Southern Leyte. The statistics presented in this report are based onthe CBMS surveys conducted in these provinces during a 4-year period–from 2005-2008.

The work leading to the publication of this book owes much to the unwavering support andcommitment of our partners both at the local and national levels. For so many months now, we haveworked hand-in-hand with them in consolidating databases and validating our survey findings. Andnow, with their consent, we are sharing their data to a wide range of CBMS stakeholders all over thecountry – indeed a glowing testament of their dedication to make their development planning processesmore efficient and effective! Tremendous thanks are therefore in order to all our partner LGUs,national government agencies, non-government organizations, donors and other development partnersfor making this possible.

It is hoped that this publication will provide the necessary data to facilitate evidence-baseddecision-making toward improving local governance and reducing poverty in the country.

i

The Many Faces of Poverty (Volume 2)

CELIA M. REYESCo-Director, Poverty and Economic Policy (PEP) Research Networkand CBMS Network Leader

INTRODUCTIONINTRODUCTIONConsidered a foremost legislation that ushered in a new era of local governance, the Local GovernmentCode (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 ofresponsibilities that were shifted to LGUs but also in the amount of resources now at their disposalto effectively discharge the devolved functions. Today, LGUs have access to multiple revenue sources,chief of which is their share in the national internal revenues—the Internal Revenue Allotment (IRA).For the period 2006–2009, the average IRA per year is P172.4 billion (see Table 1).

While experts agree that local governments are not awash with cash, the P689.6 billion worth ofIRA that the LGUs have received over the 4-year period is certainly a big amount. This underscores theimportance of making sure that LGUs are equipped with the right tools, systems, and procedures toensure the effective use of these public financial resources. One way to do this is by providing themaccess to comprehensive socioeconomic data, on the basis of which they can craft their developmentplans 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 thedifferent levels of government are needed by LGUs to adequately assess their local situation. Moreover,longitudinal data are needed to track welfare changes over time. Household-level data are alsoneeded to identify eligible beneficiaries of different programs.

In 2005, 14 years after the LGC enactment, the ADB-WB released a report highlighting statisticalissues and concerns at the subnational level. It said: “The most comprehensive and consistentcomparative subnational data is at the regional level although this is simply an administrative levelof government that has no responsibilities for delivery of social services. More data is graduallybecoming available at the provincial level, but not at lower levels, which are at the frontline of effortsto reduce poverty.”1

Table 1. Internal Revenue Allotment of LocalGovernment Units, 2006–2009

Year2009

2008

2007

2006

TOTALAve. per yearSource: DBM

Amount(in P billion)

201.3

169.9

183.9

134.5

689.6172.4


1

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

Local Pover ty Monitoring Systems Rise up to the Challenge

Owing to still unresolved statistical issues and concerns at the subnational level, an increasing numberof LGUs all over the country have taken the initiative to establish their own Community-Based MonitoringSystem (CBMS). As of August 31, 2010, CBMS is being implemented in 60 provinces (32 of which areimplementing the system province-wide), 698 municipalities, and 45 cities, covering a total of 18,269barangays. Data generated by CBMS have so far been used in diagnosing the nature and extent ofpoverty in their localities, identifying appropriate interventions, identifying eligible beneficiaries of povertyreduction programs, and assessing the impact of some of these programs.

National government agencies have likewise taken notice of the CBMS initiative. Today, CBMS isrecognized as a tool for (i) building the capacity of LGUs on poverty diagnosis and planning, (ii) localizingthe Millennium Development Goals (MDGs), and (iii) generating local poverty statistics for evidence-based development planning and budgeting.

Parallel with efforts to establish databanks at each geopolitical level, an initiative on building thenational repository of CBMS data has also been jumpstarted with the installation of the repository atthe National Anti-Poverty Commission (NAPC) and at the Department of the Interior and Local Government(DILG). The national repository is envisioned to facilitate data sharing across government agencies,the private sector, donor agencies, and other relevant stakeholders. Specifically, the national repositorywill (i) facilitate the access and use of the integrated CBMS database by national entities in theiradvocacy work with key decisionmakers, (ii) support government and non-government funding sourcesin strengthening evidence-based planning and monitoring and in aligning their interventions to nationalpriorities, and (ii) facilitate the implementation of targeted programs.

Concluding Remarks

Public statistics will increasingly shape public agenda at the local level as more and more LGUsestablish their own monitoring systems to make their development planning processes more efficientand effective. In this scenario, local poverty monitoring systems such as the CBMS will have anextremely important role to play.

The country’s experience with local-level poverty monitoring systems clearly demonstrates thatthere can be a comprehensive picture of the poverty situation. Very few, if any, national surveys collectinformation on the dif ferent dimensions of poverty. There is a survey on income and expenditure,another on health, another on education, another on employment, another on nutrition, and others. Asthe samples and the reference periods are different, there is no comprehensive picture of the povertystatus of the population at any point in time. This is where CBMS can make a difference as it addressessthese gaps through its set of core indicators relating to the different dimensions of poverty.

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EXPLANATORY TEXTEXPLANATORY TEXTA. CBMS Core Indicators

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

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

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

1 The Depar tment of the Interior and Local Government (DILG) has issued Memorandum Circular 2003-92 (April 2003) to set policyguidelines for the adoption of the 13 core local pover ty indicators, for planning and Memoradum Circular 2004-152 (November 2004) toencourage LGUs to intensify ef forts toward the achievement of the millennium development goals (MDGs). The latter circular also enjoins LGUsto use monitoring systems such as MBN-CBIS, CBMS, IRAP, etc., to monitor and diagnose the nature and extent of poverty in their respectivelocalities. CBMS was adopted by the DILG as the data collection and processing system for the CLPIMS which was the tool adopted to monitorthe MDGs for LGUs.


3

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 atool for improved local governance and democratic decisionmaking that promotes greatertransparency and accountability in resource allocation.

It involves the following steps:Step 1 – Advocacy/organizationStep 2 – Data collection and field editingStep 3 – Data encoding and map digitizationStep 4 – Data consolidation, database-building and poverty mappingStep 5 – Data validation and community consultationStep 6 – Knowledge (database) managementStep 7 – Plan formulationStep 8 – Dissemination, implementation, and monitoring

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 total number of children aged 0 to less than 5 years old plus 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 total number of children less than one year old plus 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 0-5 years old who are moderately or severely underweight over total number of children 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 supply

Total number of households without access to community water system, artesian deep and shallow wells or bottled water 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 6-12 years old who are not attending elementary school

Total number of children 6-12 years old who are not attending elementary school over total number of children 6-12 years old

One (1) if the household has a member 6-12 years old not attending elementary school; zero (0) otherwise.

9 Proportion of children 13-16 years old who are not attending secondary school

Total number of children 13-16 years old who are not attending secondary school over total number of children 13-16 years old

One (1) if the household has a member 13-16 years old not attending secondary school; zero (0) otherwise.

8-9 Proportion of children 6-16 years old who are not attending school

Total number of children 6-16 years old who are not attending school over total number of children 6-16 years old

One (1) if the household has a member 6-16 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 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 but actively seeking work 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 victims 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 unmet needs

Sum of unmet needs of households over total number of households

Sum of the scores (number of unmet needs) of the 13 indicators.

BASIC NEEDS CORE INDICATORS Computation/Formula Simple Scoring

Table 1. The CBMS Core Indicators

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* Agusan del Sur, Palawan, and Southern Leyte used this definition of unemployment. Meanwhile, Dinagat Islands, Marinduque, OrientalMindoro, and Sarangani used the new official definition of unemployment as per NSCB Resolution No. 15, Series of 2004. More informationabout this new definition is available on the website of the National Statistical Coordination Board (NSCB): http://www.nscb.gov.ph/resolutions/2004/15.asp

B. Authority for the Survey

The National Statistical Coordination Board (NSCB) has issued Resolution No. 6 (2005),which recognizes and enjoins support to the CBMS as a tool for strengthening the statisticalsystem at the local level. It also directs the NSCB Technical Staff to initiate and coordinatean advocacy program for the adoption of the CBMS by the LGUs, through the RegionalStatistical Coordination Committees (RSCCs), the technical arm of the NSCB Executive Boardin the regions.

The NSCB has also approved the CBMS Survey Instruments (NSCB Approval No. DILG-0903-01)

C. Survey Operations

All survey operations were undertaken under the supervision of the CBMS Technical WorkingGroups (TWGs) at the provincial and municipal Levels. They identified the local personnelwho were trained as enumerators and field supervisors. Technical assistance was providedby the PEP-CBMS Network Office, the Bureau of Local Government Development (BLGD) andRegional Office IV-B of the Department of the Interior and Local Government (DILG), NationalAnti-Poverty Commission (NAPC), National Economic and Development Authority (NEDA)Regional Office IV-B, and the Institute for Democratic Participation in Governance (IDPG).

Training is mainly conducted at two levels. The first level training (Training of Trainors) isconducted for members of the TWGs. This is usually conducted by members of the researchstaff of the PEP-CBMS Network Office and CBMS-accredited trainors from the DILG, NAPCand NEDA. Meanwhile, a second level training (Training of Enumerators) is conducted forenumerators--usually composed of barangay health workers and students. Members of theTWG act as trainors in this training.


5

Province

Agusan del Sur

Dinagat Islands

Marinduque

Oriental Mindoro

Palawan

Sarangani

Southern Leyte

CensusYear

2005

2008

2008

2008

2005

2007

2006

2008

ReferenceYear

2004

2007

2007

2007

2004

2006

2005

2007

Urban

15,788

18,416

13,755

17,257

12,712

16,099

12,448

13,470

Rural

12,544

15,159

13,755

16,062

8,834

13,044

12,448

13,470

Urban

10,374

12,244

9,585

10,894

12,712

10,436

8,926

9,689

Rural

8,755

10,482

9,585

10,629

8,834

9,288

8,926

9,689

PovertyThreshold

FoodThreshold

Table 2. Poverty and Food Thresholds

D. Data Processing System

The CBMS Data Processing System includes the CBMS Data Encoding System, StatisticsSimulator (StatSim) and the CBMS-Natural Resources Database (NRDB).

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

The CBMS-NRDB is capable of creating and storing spatial (shapefiles) and non-spatial (textsand numbers) data as well as generating maps, reports and graphs ideal for presentation andanalysis of poverty attributes in the community. This has significantly addressed the need for asimple yet powerful and free geographically-oriented database.

The CBMS Mapping system employs the Natural Resources Database2 (NRDB) for CBMS-based poverty mapping and for storing and displaying household- and individual-levelinformation.

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

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

E. CBMS Poverty Maps

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

A simple color scheme is used for the poverty maps. Green, light green, pink and redrepresents the four ranges of data for each indicator. Each indicator, however, used a differentrange relative to the national data (Table 2). Color ranges used for the maps are common forall the data of all the provinces in this publication for comparison purposes.

2 The NRDB was developed by Mr. Richard Alexander, a British volunteer who spent three years working for the Bohol EnvironmentManagement Office through the assistance of the Voluntary Service Overseas (vso.org.uk).

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F. Limitations of the Data

While observations are taken from the entire population, the user of the data presented in thisreport should bear in mind that due to some difficulties, the CBMS census could not be carried outin Silago, Southern Leyte; one barangay in Maasin City, also in Southern Leyte; and 4 barangays inMalungon, Sarangani. Data for some of the barangays in the following city/municipalities in Palawanwere also not available: Puerto Princesa City, Araceli, Balabac, Bataraza, Narra, Roxas, Taytay, andKalayaan.

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

Green Light Green Pink Red

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

0-5 5.01-10 10.01-15 15.01-100

2 Proportion of women who died due to pregnancy related causes

0-5 5.01-10 10.01-15 15.01-100

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

0-5 5.01-10 10.01-15 15.01-100

C. Housing 4 Proportion of households living in makeshift housing 0-1 1.01-2 2.01-3 3.01-100

5 Proportion of households who are informal settlers

0-1 1.01-2 2.01-3 3.01-100

D. W ater and Sanitation

6 Proportion of households without access to safe water supply

0-25 25.01-50 50.01-75 75.01-100

7 Proportion of households without access to sanitary toilet facilities

0-25 25.01-50 50.01-75 75.01-100

E. Education 8 Proportion of children aged 6-12 years old who are not attending elementary school

0-5 5.01-10 10.01-15 15.01-100

9 Proportion of children aged 13-16 years old who are not attending secondary school

0-5 5.01-10 10.01-15 15.01-100

8-9 Proportion of children aged 6-16 years old who are not attending school

0-5 5.01-10 10.01-15 15.01-100

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

0-10 10.01-20 20.01-30 30.01-100

11 Proportion of households with income below the food threshold

0-10 10.01-20 20.01-30 30.01-100

12 Proportion of households who experienced food shortage

0-5 5.01-10 10.01-15 15.01-100

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

0-3 3.01-6 6.01-9 9.01-100

H. Peace and Order

14 Proportion of persons who are victims of crimes

0-4 3.01-7 6.01-10 9.01-101

CBMS Composite Indica tor

Average number of unmet needs 0-1 1.01-2 2.01-3 3.01-13

BASIC NEEDS CORE INDICATORS Color Ranges

Table 3. Color Ranges for Poverty Maps


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61

It is indeed my great honor and pride that the Provincial Governmentof Dinagat Islands has finally come up with comprehensive results of thefirst Community-Based Monitoring System (CBMS) of its 7 municipalitiesand 100 barangays.

In 2006, Dinagat Islands was once a part of the Province of Surigaodel Norte, which was ranked number 5 among the poorest provinces in thecountry. With the conviction to address the poverty situation in our youngprovince, the Provincial Government then initiated the implementation ofCBMS as our initial yet sure way of fighting poverty among Dinagatnons.

Out of 21,274 households surveyed in 2008, 68.1% have incomebelow the poverty threshold and 54.5% have income below the foodthreshold. Water and sanitation is also a problem that needs to be addressedwith urgency and commitment by the LGUs and our partners. Mining is the major industry in the province, and wefeel that there are more local natural resources needed to be explored and to be developed to provide householdswith gainful sources of livelihood to increase their income. In support of President Benigno Simeon Aquino III’s job-creation agenda, the Provincial Government of Dinagat Islands will seriously work on the growth of our agriculture,fishery and eco-tourism industries in the province to make the islands predictable, reliable and efficient for investors.

As the youngest province that needs to be nurtured, we are fostering stronger partnership with the privatesector and all stakeholders. We also solicit any form of assistance that is wholeheartedly offered to the people ofDinagat Islands to pursue poverty reduction efforts and improve their quality of life.

This is indeed a great challenge for all of us - a challenge we will bravely take!

Maraming Salamat Po!

Republic of the PhilippinesProvince of Dinagat Islands

Office of the Governor

Message

GLENDA B. ECLEO, Ed. D.Governor

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Faces of Poverty in Dinagat Islands

POPULATIONDinagat Island had a total population of 96,779 in 21,274 householdsThe 2008 Community-Based Monitoring System (CBMS) survey covered the province’s seven municipalities and100 barangays. Among all the municipalities, San Jose is the largest in terms of population with 23.8% (23,051individuals) while Tubajon has the smallest with only 6.4% (6,216 individuals) of the province’s total population. Ofthe total population, 41.3% belongs to the age range of 16 years old and below.

HEALTH AND NUTRITIONOne in ever y 100 children 0–4 years old diedAmong children 0–4 years old in Dinagat Island, about 1.0% died during the period covered by the survey. Thiscorresponds to a total of 114 child deaths among children 4 years old and below. The highest death rate isrecorded in Cagdianao where 1.5% of the children died, which represents 26 cases. Barangay Kanihaan in Libjorecorded the highest death rate at 10.0%. However, in terms of magnitude, Barangay Plaridel in Libjo reported thehighest number where eight children 0–4 years old died during the period.

Six in every 1,000 pregnant women died due to pregnancy-related causesAbout 0.6% of pregnant women in the province died due to pregnancy-related causes. This corresponds to 11cases of women deaths. At the municipal level, Dinagat had the largest proportion of women deaths at 1.0%,which means that one woman died for every 100 pregnant women. The municipality of Libjo had no reported casesof women deaths due to pregnancy-related causes. At the barangay level, the municipality of Catadman recordedthe highest proportion (1.0%) although it only refers to one woman death. One death was reported in each of the11 barangays while the rest had no cases of pregnancy-related deaths among women.

About 6 in every 100 children 0–5 years old were malnourishedOf the children 0–5 years old, 6.4% were malnourished. This translates to 6 malnourished children for every 100children 5 years old and below. Dinagat recorded the highest proportion at 12.6%, which corresponds to 157malnourished children out of its 1,243 children within that age range. However, in terms of number, the municipalityof San Jose topped the list with 228 malnourished children during the period. Among all barangays in the province,Barangay Justiniana Edera in Dinagat recorded the highest proportion (26.9%) followed by Barangay Gomez (26.0%),also in Dinagat.

HOUSINGAbout 5% of households were living in makeshift housing; 2% were informal settlersIn terms of housing, data revealed that aside from the presence of households living in makeshift housing, thereare also a few households who were considered as informal settlers. In particular, 1 in every 20 households in theprovince was living in makeshift housing. On the other hand, 1 in every 50 households was considered a squatteror informal settler. There are also a few municipalities that recorded higher rates or worse conditions. For instance,San Jose had 9.7% households living in makeshift housing, followed by Libjo and Basilisa with 5.2% each. Livingin makeshift housing is a great concern for some barangays in the province. For instance, 28.6% of households inBarangay Luna in San Jose were living in makeshift housing.

Meanwhile, informal settlers are more prevalent in the municipality of Tubajo than in other municipalities where4.2% of the households are informal settlers. Among all barangays, Barangay Magsaysay in Dinagat recorded thehighest with 12.3% of the households considered as informal settlers,based on the results of the survey.

WATER AND SANITATION


63

1 “Waterless barangays” refer to villages with less than 50% (safe) water supply coverage.

Access to safe water supply and sanitar y toilet facilities is still a concern for some of thehouseholdsBased on the results of the survey, 18.8% of households in the province had no access to safe water supply,corresponding to 1,437 households. Basilisa had the worst condition in terms of safe water accessibility as 33.7%of its households were reported to have no access to safe water supply during the period. It is followed by Dinagatwith 22.8%, and Libjo with 19.2%. Disaggregated data further revealed that there are 10 “waterless barangays”1

in the province out of it 100 barangays. The highest proportion was recorded in Barangay Ferdinand in Loreto where94.7% of its households did not have access to safe water supply. It was followed by Cab-ilan in Dinagat andCuarinta in San Jose with 91.0% and 79.1%, respectively.

Meanwhile, 20.1% of the households in the province did not have access to sanitary toilet facilities. This meansthat 2 in every 10 households experienced this problem. Access to sanitary toilet facilities is a great concern forTubajon where 35.3% of the households did not have access to such facilities. This is also a concern for Libjo,which recorded 34.3%. Meanwhile, barangay level data showed that the absence of sanitary toilet facilities is avery huge concern for some barangays. For instance, Barangay Santa Monica (84.1%) in Basilisa, Barangay Magsaysay(71.6%) in Libjo, and Barangay Roxas (67.7%) in Tubajon recorded very high proportions of households withoutsanitary toilet facilities.

BASIC EDUCATIONOf children 6–16 years old, 9.7% were not in schoolResults of the survey showed that 17.6% of children 6–12 years old were not in elementary, 38.2% of children 13–16 years old were not in high school, and the rate of school non-attendance among children 6–16 years old is at9.7%. This means that almost 1 in every 10 children 6–16 years old were not enrolled in school. The highestestimate was recorded in Libjo at 10.6%. However, in terms of magnitude, San Jose (10.6%) is on the top of thelist of municipalities with children 6–16 years old not attending school, followed by Tubajon (10.4%), and San Jose(10.2%). At the barangay level, higher school non-attendance were reported in some barangays in the province.Some of them include Barangay Kanihaan in Libjo (26.4%), Barangay Legaspi (24.5%) in Cagdianao, and BarangayGeotina (22.5%) in Basilisa.

INCOME AND LIVELIHOODAt least 6 in every 10 households were income poorIncome poverty is a huge concern for the province as reflected in the very high poverty rate. In fact, 68.1% ofhouseholds were living below the poverty line. This corresponds to 14,485 households in the province. Among allthe municipalities, Basilisa had the worst condition in terms of income poverty as it exhibited the highest povertyrate at 79.6%. This means that about 8 in every 10 households were considered income poor. High rates ofpoverty were also estimated in the remaining municipalities. For instance, Tubajon recorded 78.7% while Libjo wasat 77.3%. Barangay level data showed even worse condition. Barangay Justiniana Edera in Dinagat recorded apoverty rate of 94.9%. This means that almost all households in the barangay were income poor. It may be notedthat there were 86 barangays (out of 100 barangays) where at least half of their households were consideredincome poor.

Of the households, 54.5% had no sufficient income to satisfy their nutritional requirementsMore than half of the households (54.5%) in the province were considered as food poor. In other words, thesehouseholds had no sufficient income to satisfy their basic nutritional requirements. Food poverty is more prevalentin the municipality of Basilisa (68.2%), followed by Libjo (65.8%) and Tubajon (65.8%). Again, Barangay JustinianaEdera in Dinagat exhibited the highest food poverty rate at 88.9%. It should also be noted that there were 76barangays (out of 100 barangays) where at least half of their households had no sufficient income to satisfy theirbasic nutritional requirements.

64


2 This refers to household basic needs as reflected in the 13 CBMS core indicators that cover the following: (1) children 0-4 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 whoare informal settlers; (6) households without access to safe water supply; (7) households without access to sanitar y toilet facilities; (8) children 6–16 yearsold not in school; (9) households with income below the poverty threshold; (10) households with income below the food threshold; (11) households thatexperienced food shortage; (12) unemployment; and (13) victims of crime. A higher index would mean more unmet needs and hence, worse condition for thehouseholds.

Of the households, 5.2% experienced food shor tageDespite the high food poverty rate, a relatively small proportion of household suffered from hunger during the 3-month period prior to the survey. Provincial data showed that 5.2% of the households experienced food shortage.This means that about 5 in every 100 households suffered from hunger during the reference period. Food shortagecan be considered a huge concern for Basilisa where 13.9% of its households experienced hunger during theperiod. Meanwhile, there were four barangays where at least a quarter of their households experienced foodshortage, with Barangay Columbus in Basilisa having the largest proportion at 27.5%.

Unemployment rate is relatively low at 1.3%Results of the survey showed that there were 29,991 individuals who are members of the labor force representing31.0% of the province’s total population. Data showed that only 1.3% or 397 individuals were unemployed. Acrossmunicipalities, San Jose (2.5%) recorded the highest unemployment rate followed by Tubajon (1.8%) and Libjo(1.7%). Unemployment rate in Dinagat is very low at 0.2% as compared to other municipalities. Meanwhile, somebarangays had unemployment rates higher than the provincial estimate. Barangay Navarro in Tubajon, for instance,had an unemployment rate of 8.8%, which is the highest rate among all barangays in the province.

PEACE AND ORDERThe province had a crime rate of 1.7%Data on peace and order showed that there were 1,610 individuals who have been reported as victims of any typeof crime. This represents 1.7% of the total population in the province. The highest crime rate is recorded in Dinagatwith 2.4%. At the barangay level, crime rate is highest in Barangay Catadman in Basilisa where 9.4 % of thepopulation had been victims of crime, followed by Justiniana Edera in Dinagat with 9.1%.

CBMS COMPOSITE INDICATOROf the 13 basic needs2, 1.9 were not satisfied by households, on the averageBased on the composite index, the households in Basilisa had the worst condition in terms of meeting the basicneeds across all municipalities as it recorded an index equivalent to 2.4. This means that at least two basic needs,in general, were not satisfied by the households in the municipality. On the other hand, the smallest compositeindex is recorded in Loreto at 1.2. Some barangays exhibited worse conditions. Barangay Kanihaan in Libjo, forinstance, had a composite index equivalent to 3.3, recorded as the highest, followed by Barangay Puerto Princesa(3.1%), and Barangay Coring in Basilisa.


65

The Many Faces of Povertyin the Province of Dinagat Islands

INDICATOR

DEMOGRAPHYPopulationAverage household sizeChildren 0-5 years oldChildren 6-12 years oldMembers 13-16 years oldMembers 6-16 years oldMembers 10 years old and aboveMembers of the labor force

HEALTH AND NUTRIT IONChildren 0-4 year old who diedWomen who died due to pregnancy-related causesMalnourished children 0-5 year old

HOUS INGHouseholds living in makeshift housingHouseholds who are informal settlers

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

BASIC EDUCATI ONChildren 6-12 years old not attending elementary schoolChildren 13-16 years old not attending high schoolChildren 6-16 years old not attending school

INCOME AND L IVELIHOODHouseholds with income below the poverty thresholdHouseholds with income below the food thresholdHouseholds that experienced food shor tageUnemployment rate (15 years old and above)

PEACE AND ORDERVictims of crime

Magni tude

212745

1070419

39524271

14485115941113

Propor tion

5.02.0

18.820.1

68.154.55.2

Households Population

CBMS Core Indicators, Province of Dinagat Islands, 2008

CBMS Composite Indicator, Province of Dinagat Islands, 2008

CBMS Composite IndicatorAvera g e

1.9

Propo r t io nMagni tu de

13416170239531

265547363229991

11858

0.66.4

299636372584

17.638.29.7

1.7

114 1.0

397

1610

1.3

96779

66


Munic ipa l i ty Tota lhouseholds

Number o fch i ld ren

(0-5years o ld )

Malnou rishedch i ld ren

(0-5 years o ld )

Ch i ld deaths(0-4 years o ld )


(0-1year o ld )

Women deaths dueto pregnancy-related

causes

Tota lpopulation

CBMS Core Indicators, by Municipality, Province of Dinagat Islands, 2008

Propor tionPropor tion Propor tion Magni tudeM ag n i tudeM ag n i tude


(0-4years o ld )

Households liv ing inmak eshif t hous ing

Households who arein f ormal sett l e rs

Households without accessto safe water supply

Households without accessto san itar y to i le t faci l it ies

Munic ipa l i ty

P r opor t i onP r opor t i on P r opor t i onP r opor t i on M ag n i tudeM ag n i tudeM ag n i tudeM ag n i tude


(6-12 years old )

Ch i ld ren notattend ing e lementar y

schoo l(6-12 years old )


(13-16 yearso l d )

Ch i ld ren not attend ingh igh school

(13-16 years old )


(6-16 yearso l d )

Ch i ld ren notattend ing school(6-16 years old )

Munic ipa l i ty

Unemployment rate(15 years old and above)

Persons who arev ictims of crimes

Number of persons in thelabor fo rce

(15 years old and above)

Municipality CBMS Compos iteInd icator

P r opor t i onP r opor t i onP r opor t i on

P r opor t i onP r opor t i on

M ag n i tudeM ag n i tudeM ag n i tude

M ag n i tude M ag n i tude

Households with income below thepover ty threshold

Households with income below the foodthreshold

Households who experienced foodshortage

Municipality

P r opor t i on P r opor t i on P r opor t i onM ag n i tudeM ag n i tudeM ag n i tude

BASILISACAGDIANAODINAGATLIBJOLORETOSAN JOSETUBAJON




351820761361269788328391111

79.671.566.777.345.655.978.7

30141696108622965981976928

68.258.453.265.830.938.965.8

6141118

1956

1736

13.93.80.45.60.33.40.4


6907389031874426246574181698

38487761318431

0.61.20.21.70.52.51.8

33093229223

9258

1.70.72.40.10.04.00.1

2.41.91.92.31.21.52.0

4417290220403489193550801411

19916134979684161768239230516216

263320651243241411872936938

180951571711222815

6.84.612.67.11.07.81.6

209617191022200110122409786

252613228191

1.21.51.31.10.80.80.1

193333191428202451161

1320131

0.50.91.00.00.50.70.6

21867491824649315

4.92.32.45.22.49.71.1

69605087504459

1.62.12.52.52.60.94.2

143738146367013678679

33.713.122.819.27.015.55.8

9315853661194414281500

21.120.217.934.321.45.535.5

3608243016572936137438611157

710338273497282631265

19.713.916.516.920.516.422.9

2065143797015166972303543

900581352630184751239

43.640.436.341.626.432.744.1

5673386726274452207161641700

561369234471141631177

9.99.58.910.66.810.210.4


67

Map 2. Proportion of Children 0-4 Years Old who Died, by Barangay, 2008

Map 1. Proportion of Children 0-4 Years Old who Died, by Municipality, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

0.8

0.1

1.1

1.21.5

0.8

1.3DINAGAT

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

0.8

0.1

1.1

1.21.5

0.8

1.3DINAGAT

CBMS Poverty Maps: Dinagat Islands

M unic ip a l i t y M ag nit ud e Pr o p o r t io nCagd ianao 26 1.5Dinagat 13 1.3B asilisa 25 1.2Libjo 22 1.1Lo reto 8 0 .8San Jose 19 0 .8Tubajon 1 0.1

C hild d ea t hs ( 0 - 4 years o ld )

M unicip al i t y B arang ay M ag ni t ud e P ro p o r t io nLibjo Kanihaan 2 10 .0B asilisa M elgar 7 5.9Cagd ianao San Jose 2 5.9Libjo Plaridel 8 4.4Dinagat Cayetano 3 4 .1Cagd ianao Legasp i 3 4.0San Jose Cuarinta 5 3 .1Libjo Rosita 4 3 .1Loreto Santa Cruz (Pob.) 2 2.9B asilisa Santo Niño 2 2 .7

B o t t o m 10 B arang ays

68



Map 3. Proportion of Women who Died Due to Pregnancy-Related Causes,by Municipality, 2008

Map 4. Proportion of Women who Died Due to Pregnancy-Related Causes, byBarangay, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

0.5

0.6

0.0

0.50.9

0.7

1.0DINAGAT

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

0.5

0.6

0.0

0.50.9

0.7

1.0DINAGAT

M unicip al i t y M ag ni t ud e P ro p o r t io nDinagat 2 1.0Cagd ianao 3 0.9San Jose 3 0.7Tubajon 1 0.6B asilisa 1 0.5Loreto 1 0.5Libjo 0 0.0

W o men d eat hs d ue t o p r eg nancy- rela t ed causes

M unicip al i t y B arang ay M ag ni t ud e P ro p o r t io nB asilisa Catadman 1 16 .7Dinagat Gomez 1 6.7San Jose Jacquez 1 5.9Cagd ianao M ab ini (B o rja) 1 5.9Cagd ianao Nueva Est rella 1 5.0Dinagat Cab-ilan 1 4.0Cagd ianao Del Pilar 1 3.3Tubajon Santa Cruz (Pob .) 1 2.9Lo reto San Juan (Pob.) 1 2.8San Jose M ahayahay 1 2.6



69


Map 6. Proportion of Children 0-5 Years Old who are Malnourished,by Barangay, 2008

Map 5. Proportion of Children 0-5 Years Old who are Malnourished,by Municipality, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

1.0

1.6

7.1

6.84.6

7.8

12.6

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

1.0

1.6

7.1

6.84.6

7.8

12.6

M unicip al i t y B arang ay M ag ni t ud e P ro p o r t io nDinagat Just iniana Edera 14 26.9Dinagat Gomez 26 26.0Libjo Kanihaan 6 25.0San Jose Luna 33 21.0Dinagat B agumbayan 29 19 .6Dinagat Cayetano 15 17.0B asilisa Santa M onica 9 15.5Dinagat W adas 18 15.0San Jose Just iniana Edera 16 12 .4B asilisa New Nazareth 8 12 .3

B o t t o m 10 B ar ang ays

M unicip al i t y M ag ni t ud e Pr o p o r t io nDinagat 157 12.6San Jose 228 7.8Libjo 171 7.1B asilisa 180 6 .8Cagd ianao 95 4 .6Tubajon 15 1.6Loreto 12 1.0

M alno ur ished C hi ld ren ( 0 - 5 years o ld )

70


Table 1. Health and Nutrition Indicators, by Barangay, Province of Dinagat Islands, 2008

Munic ipa l i ty Ba rang a y Number o fch i ld ren

(0-5years o ld )


(0-5 years o ld )

Propor t ion

Chi ld deaths(0-4 years o ld )


(0-1 year o ld )

Women deathsdue to

preg nancy -re l a tedcauses

Magni tude Magni tude Pr opo r t i on Magni tude Propor tion


(0-4years o ld )

BAS I L ISA

CAGDI ANAO

DI NAGAT

L IB JO

BenglenCatadmanColumbusCoringCor tesDiegasDoña HeleneEderaFerdinandGeotinaImee (Bactasan)MelgarMontagNavarroNew NazarethPoblacionPuerto PrincesaRita GlendaRomaRoxasSanta MonicaSanto NiñoSeringSombradoTag-abacaVilla EcleoVilla Pantinople

BoaCabunga-anDel PilarLagunaLegaspiMa-atasMabini (Borja)Nueva EstrellaPoblacionR. Ecleo, Sr.San JoseSanta RitaTigbaoValencia

8687426311611324753128110581415413965371988456625897190402047233

88421171739403498111735911912330

9.39.29.53.29.56.26.95.77.03.60.02.17.46.512.32.75.68.35.48.115.511.34.72.511.34.20.0

6873355094921994410684481114611544281596639524972156311555228

000002310017011010001230200

0.00.00.00.00.02.11.52.20.00.02.05.90.00.92.20.00.60.00.00.02.02.71.90.01.30.00.0

75448102431293145122118534411541321

010000000000000000000000000

0.016.70.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0

98129230758410199984022313961130288

13159414222904912

1.02.36.512.04.81.04.02.05.53.90.06.66.94.2

8511119162728482783381813253110240

13203211732010

1.22.61.00.04.02.31.21.32.01.65.90.00.90.0

1326291010131619664010101952

00100011000000

0.00.03.30.00.00.05.95.00.00.00.00.00.00.0

BagumbayanCabayawanCab-ilanCayetanoEscolta (Pob.)GomezJustiniana EderaMagsaysayMauswagon (Pob.)New MabuhayWadasWhite Beach (Pob.)

148661558891100527444198120107

2951315526147024181

19.67.68.417.05.526.026.99.50.012.115.00.9

1195512371758644543516210494

201302110300

1.70.00.84.10.02.32.21.80.01.80.00.0

19112481714447362126

001001000000

0.00.04.00.00.06.70.00.00.00.00.00.0

Albor (Pob.)ArellanoBayanihanDoña HelenGarciaGeneral AguinaldoKanihaanLlameraMagsaysayOsmeñaPlaridelQuezonRositaSan Antonio (Pob.)San JoseSanto Niño

194881076619825924135895022089152383247113

159641913691001251521198

7.710.25.66.19.65.025.06.711.20.05.55.69.95.57.77.1

1627290591632181810679461757412731320594

0001302110804110

0.00.00.01.71.80.010.00.91.30.04.40.03.10.30.50.0

301823163644421178331535753221

0000000000000000

0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0


71

Table 1. Health and Nutrition Indicators, by Barangay, Province of Dinagat Islands, 2008

Munic ipa l i ty Ba rang a y Number o fch i ld ren

(0-5years o ld )


(0-5 years o ld )

Propor t ion

Chi ld deaths(0-4 years o ld )


(0-1year o ld )

Women deathsdue to

preg nancy -re l a tedcauses

Magni tude Magni tude Pr opo r t i on Magni tude Propor tion


(0-4years o ld )

L O RE T O

SAN JOSE

T UBA JON

Carmen (Pob.)EsperanzaFerdinandHeleneLibertyMagsaysayPanamaonSan Juan (Pob.)Santa Cruz (Pob.)Santiago (Pob.)

ImeldaMabiniMalinaoNavarroDiaz (Romualdez)RoxasSan Roque (Pob.)San Vicente (Pob.)Santa Cruz (Pob.)

1471782648836015018475236

0020121510

0.00.07.70.01.23.30.72.71.30.0

1291492340645113315768198

1100001122

0.80.70.00.00.00.00.70.62.91.0

232675101125351050

0000000100

0.00.00.00.00.00.00.02.80.00.0

AurelioCuarintaBaltazarJacquezJustiniana EderaLunaMahayahayMatingbeSan Jose (Pob.)San JuanSanta CruzWilson

391185302142129159221136477246314234

251510171633201225161722

6.48.13.312.112.421.09.08.85.26.55.49.5

320158247120104128184105389200256198

450100112320

1.23.10.00.80.00.00.50.90.51.50.80.0

553244161723381778415436

000100100100

0.00.00.05.90.00.02.60.00.02.40.00.0

7913716275744161107202

068000001

0.00.04.45.00.00.00.00.00.5

636910713562365588171

000000001

0.00.00.00.00.00.00.00.00.6

171212252110131833

000000001

0.00.00.00.00.00.00.00.02.9

72


Map 7. Proportion of Households Living in Makeshift Housing,by Municipality, 2008

Map 8. Proportion of Households Living in Makeshift Housing, by Barangay, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

2.4

1.1

5.2

4.92.3

9.7

2.4DINAGAT

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

2.4

1.1

5.2

4.92.3

9.7

2.4DINAGAT


M unic ip a l it y M ag ni t ud e Pr o p o r t io nSan Jose 493 9.7Libjo 182 5.2B asilisa 218 4 .9Dinagat 49 2 .4Lo reto 46 2 .4Cagd ianao 67 2 .3Tubajon 15 1.1

Ho useho ld s l iving in makeshi f t ho us ing

M unicip al i t y B arang ay M ag ni t ud e P ro p o r t io nSan Jose Luna 64 28 .6San Jose Jacquez 35 14.5San Jose M ahayahay 53 13.4San Jose M at ingbe 26 13.3Lo reto Libert y 25 13.0Dinagat Cabayawan 12 11.8B asilisa Navarro 22 11.3San Jose Santa Cruz 47 9 .9San Jose A urelio 78 9 .9B asilisa Catadman 13 9 .2



73

Map 10. Proportion of Households who are Informal Settlers,by Barangay, 2008

Map 9. Proportion of Households who are Informal Settlers,by Municipality, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

2.6

4.2

2.5

1.62.1

0.9

2.5

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

2.6

4.2

2.5

1.62.1

0.9

2.5


M unic ip a l it y M ag ni t ud e Pr o p o r t io nTubajon 59 4 .2Lo reto 50 2 .6Libjo 87 2.5Dinagat 50 2.5Cagd ianao 60 2.1B asilisa 69 1.6San Jose 44 0 .9

Ho useho ld s w ho are inf o rmal set t le rs

M unicip al i t y B arang ay M ag ni t ud e P ro p o r t io nDinagat M agsaysay 20 12.3Lo reto Esperanza 19 8.5B asilisa Catadman 10 7.1Tubajon Santa Cruz (Pob .) 20 6.7Tubajon Navarro 5 5.8Libjo San A ntonio (Pob.) 26 5.6Tubajon M ab ini 12 5.4Cagd ianao M a-atas 8 5.2Cagd ianao Santa Rita 5 5.1Tubajon Imelda 5 4 .9


74


Map 11. Proportion of Households without Access to Safe Water Supply,by Municipality, 2008

Map 12. Proportion of Households without Access to Safe Water Supply,by Barangay, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

7.0

5.8

19.2

33.713.1

15.5

22.8

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

7.0

5.8

19.2

33.713.1

15.5

22.8


M unicip al i t y M ag ni t ud e Pr o p o r t io nB asilisa 1437 33.7Dinagat 463 22.8Libjo 670 19.2San Jose 786 15.5Cagd ianao 381 13.1Loreto 136 7.0Tubajon 79 5.8

Ho useho ld s w i t ho ut access t o saf e w at er sup p ly

M unic ip a l it y B arang ay M ag ni t ud e Pr o p o r t io nLo reto Ferdinand 36 94 .7Dinagat Cab -ilan 183 91.0San Jose Cuarinta 186 79 .1B asilisa Santo Niño 109 68 .1San Jose M at ingbe 126 64 .3Libjo Rosita 119 62 .6B asilisa Navarro 118 61.5B asilisa Roma 56 58.3Libjo San Jose 206 57.5B asilisa Puerto Princesa 121 53.3



75

Map 14. Proportion of Households without Access to Sanitary Toilet Facilities,by Barangay, 2008

Map 13. Proportion of Households without Access to Sanitary Toilet Facilities,by Barangay, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

21.4

35.5

34.3

21.120.2

5.5

17.9

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

21.4

35.5

34.3

21.120.2

5.5

17.9


M unicip a li t y M ag ni t ud e P ro p o r t io nTubajon 500 35.5Libjo 1194 34.3Lo reto 414 21.4B asilisa 931 21.1Cagd ianao 585 20.2Dinagat 366 17.9San Jose 281 5.5

Ho useho ld s w i t ho ut access t o sani t a ry t o i le t f aci l i t ies

M unicip al i t y B arang ay M ag ni t ud e P ro p o r t io nLibjo Kanihaan 37 84.1Tubajon Imelda 73 71.6B asilisa Puerto Princesa 199 67.7Dinagat Cabayawan 65 63 .7Tubajon Navarro 53 61.6B asilisa Coring 41 59.4Libjo B ayanihan 90 58.8Cagd ianao Legaspi 64 56 .1Libjo San A ntonio (Pob.) 270 55.3Libjo Santo Niño 104 53.3


76


Table 2. Housing, Water and Sanitation Indicators, by Barangay, Province of Dinagat Islands, 2008



Household s with outaccess to safe water

supp l y

Household s with outaccess to san itar y

to i le t faci l i t ies

Ba rang a yMunic ipa l i ty

P r opor t i onP r opor t i on P r opor t i on P r opor t i onMagni tude Magni tude Magni tude Magni tude

BAS I L ISA

CAGDI ANAO

DI NAGAT

L IB JO

101326732741612164223216580181302441

9.09.22.98.54.31.97.44.06.88.50.92.24.311.32.42.65.42.67.00.01.35.03.20.06.43.51.9

2101341413317013240060331600


1.87.11.44.22.40.61.11.01.32.10.92.60.00.52.42.61.40.00.04.50.01.90.71.31.60.00.0

5214714256814919105332

12430118301

121665642010927361612917

46.89.910.132.615.342.840.819.244.523.21.949.639.061.523.81.353.334.958.33.026.768.16.746.242.925.432.1

2655274146307614212916671241218

1991415291221441236172

23.439.039.159.428.018.920.814.18.920.415.024.612.921.116.710.367.77.413.022.016.013.210.915.49.614.93.8


1642446114142126

0.93.21.21.63.52.65.00.62.34.72.81.01.01.8

251020823830548

1.82.63.01.60.05.21.71.91.31.00.05.12.02.5

621708161812325739556725

5.311.120.86.414.011.610.120.59.513.17.05.133.77.7

32191211464258735024585290

28.110.035.911.256.116.16.746.88.38.17.08.226.127.6


2120180481805

1.011.80.00.83.90.03.44.91.22.60.02.6

33611202001031

1.52.92.90.80.51.30.012.30.03.31.70.5

502

183803050231673028

25.62.091.06.20.019.242.714.119.823.90.014.4

176510116283812181451015

8.763.748.812.413.624.410.311.01.214.75.67.7


1681148183697232244147

4.85.77.25.12.85.46.83.47.36.56.41.61.09.03.93.6

145271204331232695

0.32.93.42.62.53.70.02.32.42.90.31.61.65.62.52.6

2522514921612717206

1198520624

7.61.416.317.732.64.82.315.40.86.55.54.862.617.457.512.3

70619028678537336033784531270102104

21.143.658.835.423.825.884.118.648.430.821.635.716.255.328.653.3


77

Table 2. Housing, Water and Sanitation Indicators, by Barangay, Province of Dinagat Islands, 2008



Household s with outaccess to safe water

supp l y

Household s with outaccess to san itar y

to i le t faci l i t ies


P r opor t i onP r opor t i on P r opor t i on P r opor t i onMagni tude Magni tude Magni tude Magni tude

L O RE T O

SAN JOSE

T UBA JON



Diaz (Romualdez)ImeldaMabiniMalinaoNavarroRoxasSan Roque (Pob.)San Vicente (Pob.)Santa Cruz (Pob.)

42122560501

1.40.92.63.013.07.70.01.50.00.3

619011163310

2.18.50.01.50.51.32.50.91.83.2

63136000379512

2.113.894.70.00.00.015.42.83.03.8

34771532334077311065

11.934.238.548.517.251.332.19.55.920.7

781439352464532664264723

9.95.98.214.57.128.613.413.36.56.49.97.1

844104337352

1.01.70.80.40.01.80.81.50.70.71.10.6

96186450144655126441029135

12.379.19.50.04.120.513.964.34.52.56.141.7

2620258916104429143149

3.38.55.23.32.77.12.522.43.03.46.615.1

301721001

2.80.00.52.92.31.30.00.00.3

15126515420

0.94.95.42.65.81.34.72.46.7

9673284616

8.55.93.213.19.311.85.60.62.0

3673321195341734132

34.071.614.548.661.65.115.720.244.4

78


Map 15. Proportion of Children 6-12 years old Not Attending Elementary School,by Municipality, 2008

Map 16. Proportion of Children 6-12 years old Not Attending Elementary School,by Barangay, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

20.5

22.9

16.9

19.713.9

16.4

16.5

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

20.5

22.9

16.9

19.713.9

16.4

16.5


M unic ip a l it y M ag ni t ud e P ro p o r t io nTubajon 265 22.9Lo reto 282 20 .5B asilisa 710 19.7Libjo 497 16 .9Dinagat 273 16.5San Jose 631 16 .4Cagd ianao 338 13 .9

C hi ld ren no t at t end ing e lement ary scho o l ( 6 - 12 years o ld )

M unicip al i t y B ar ang ay M ag ni t ud e P r o p o r t io nB asilisa Santo Niño 39 32 .5Tubajon Imelda 26 31.0Tubajon M ab ini 59 30 .3Tubajon San Roque (Pob .) 19 30 .2B asilisa Edera 21 29 .6B asilisa Imee (B actasan) 21 28 .0Lo reto Santa Cruz (Pob .) 28 26 .7Dinagat M auswagon (Pob.) 11 25.6Lo reto San Juan (Pob.) 63 25.1Dinagat White B each (Pob .) 33 25.0B asilisa Villa Ecleo 28 25.0B asilisa Benglen 23 25.0



79

Map 18. Proportion of Children 13-16 years old Not Attending High School,by Barangay, 2008

Map 17. Proportion of Children 13-16 years old Not Attending High School,by Municipality, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

26.4

44.1

41.6

43.640.4

32.7

36.3

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

26.4

44.1

41.6

43.640.4

32.7

36.3


M unicip al i t y M ag ni t ud e P ro p o r t io nTubajon 239 44 .1B asilisa 900 43 .6Libjo 630 41.6Cagd ianao 581 40 .4Dinagat 352 36 .3San Jose 751 32 .7Loreto 184 26 .4

C hi ld ren no t a t t end ing hig h scho o l ( 13 - 16 years o ld )

M unicip al i t y B ar ang ay M ag nit ud e P r o p o r t io nTubajon Imelda 33 78 .6B asilisa Geo t ina 53 69 .7Tubajon M alinao 61 69 .3Cagd ianao Legasp i 38 65.5Libjo Kanihaan 15 65.2Libjo Llamera 47 59 .5B asilisa Diegas 49 59 .0B asilisa Catadman 27 56 .3B asilisa V illa Pant inop le 18 56 .3Cagd ianao Tigbao 50 55.6Cagd ianao San Jose 25 55.6B asilisa Edera 15 55.6


80


Map 19. Proportion of Children 6-16 years old Not Attending School,by Municipality, 2008

Map 20. Proportion of Children 6-16 years old Not Attending School,by Barangay, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

10.4

6.8

10.6

9.99.5

10.2

8.9

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

10.4

6.8

10.6

9.99.5

10.2

8.9


M unic ip a l it y B arang ay M ag ni t ud e Pr o p o r t io nLibjo Kanihaan 14 26 .4Cagd ianao Legasp i 40 24 .5B asilisa Geo tina 47 22 .5Tubajon Imelda 25 19.8Libjo B ayanihan 41 18.6Tubajon M alinao 50 18.2Cagd ianao Tigbao 37 15.7Lo reto Ferdinand 8 15.4B asilisa Doña Helene 73 15.1San Jose W ilson 65 15.0


M unicip al i t y M ag ni t ud e Pr o p o r t io nLibjo 471 10.6Tubajon 177 10.4San Jose 631 10.2B asilisa 561 9.9Cagdianao 369 9 .5Dinagat 234 8.9Loreto 141 6.8

C hi ld ren no t at t end ing scho o l ( 6 - 16 years o ld )


81

Table 3. Education Indicators, by Barangay, Province of Dinagat Islands, 2008


( 6 -12 yearsold)

Chi ld ren nota ttend in g

e lementar y school(6-12 years old )

Number o fch i ld ren( 1 3 - 1 6

years old)

Chi ld ren notattend i ng h igh



( 6 -16 yearsold)

Chi ld ren notattend ing school(6-16 years old )


M ag n i tude Magni tude Magni tudeP r opor t i on P r opor t i on P r opor t i on

BAS I L ISA

CAGDI ANAO

DI NAGAT

L IB JO





921216071145135323711771337624879157914728016277112791202277229511246

2315916273274212325215319222111433316141139341558287

25.012.415.022.518.623.723.029.613.018.828.021.424.114.023.123.415.420.420.812.513.932.515.020.819.725.015.2

5648344186831622710676411293784582916511450632169166322074932

2527141527498915345310542037306654423266307413712518

44.656.341.236.631.459.054.955.632.169.724.441.954.144.651.720.739.438.646.041.328.643.544.640.634.351.056.3

14816994112231218485982832091173771162411497644527612717510018939310450216178

12185151332731419478321217114401781291446653177

8.110.75.313.45.614.715.114.36.722.56.88.510.37.17.45.39.06.26.36.99.07.411.75.810.610.69.0

90161316991051321191554382486695146260

91547132513121473351271845

10.09.314.913.123.89.810.19.016.714.118.27.412.317.3

53881886858876288262172454790129

2433742538303235995225135051

45.337.539.436.865.534.551.639.837.830.255.627.755.639.5

143249504167163219181243700420111142236389

21195016401623176221823737

14.77.69.99.624.57.312.77.08.95.07.21.415.79.5

16911818611113712810613743250140132

27202812329262511272333

16.016.915.110.823.47.024.518.225.610.816.425.0

875313855838264783411110184

272141262836323412492719

31.039.629.747.333.743.950.043.635.344.126.722.6

25617132416622021017021577361241216

2317291220282218533198

9.09.99.07.29.113.312.98.46.59.17.93.7

209991488024831930180928528187175448294161

31113395377627810371334705820

14.811.122.311.321.424.120.015.08.711.913.214.919.415.619.712.4

93717337124164237935391656110524113175

42313617655815471393520431155925

45.243.749.345.952.435.465.259.537.123.121.232.841.047.745.033.3

30217022111737248353259127124446148280689425236

2715419504914318720728915915

8.98.818.67.713.410.126.412.06.35.74.54.710.013.213.96.4

82


Table 3. Education Indicators, by Barangay, Province of Dinagat Islands, 2008


( 6 -12 yearsold)

Chi ld ren nota ttend in g

e lementar y school(6-12 years old )

Number o fch i ld ren( 1 3 - 1 6

years old)

Chi ld ren notattend i ng h igh



( 6 -16 yearsold)

Chi ld ren notattend ing school(6-16 years old )


M ag n i tude Magni tude Magni tudeP r opor t i on P r opor t i on P r opor t i on

L O RE T O

SAN JOSE

T UBA JON




179198375212270157251105203

393581220822632847

21.817.721.623.116.411.414.025.126.723.2

108109151275236610559125

28357613721211729

25.932.146.750.017.330.431.820.028.823.2

287307526419793223356164328

1626868416201225

5.68.515.49.44.14.37.25.67.37.6

512211351184251181312195653312445254

7947573536194929120517336

15.522.316.219.014.410.515.714.918.416.416.414.2

28011423311314697196102424168250180

9242803859355629104568080

33.236.834.333.640.436.128.928.424.533.532.144.4

7923255842973972785082971077480695434

6843653645253826103447365

8.613.211.112.111.49.07.58.89.69.210.515.0

9584195187746163162236

19265940913194040

20.031.030.321.412.221.330.224.716.9

4342778829314578110

163326611310172340

37.278.634.269.344.832.337.829.536.4

13812627227510392108240346

10252350133131030

7.219.88.518.212.63.312.04.28.7


83

Map 22. Proportion of Households with Income Below the Poverty Threshold,by Barangay, 2008

Map 21. Proportion of Households with Income Below the Poverty Threshold,by Municipality, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

45.6

78.7

77.3

79.671.5

55.9

66.7

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

45.6

78.7

77.3

79.671.5

55.9

66.7


M unicip al i t y M ag ni t ud e P ro p o r t io nB asilisa 3518 79 .6Tubajon 1111 78 .7Libjo 2697 77.3Cagd ianao 2076 71.5Dinagat 1361 66 .7San Jose 2839 55.9Lo reto 883 45.6

Ho useho ld w i t h inco me b elo w p o ver t y t hresho ld

M unicip al i t y B arang ay M ag ni t ud e P ro p o r t io nDinagat Just iniana Edera 111 94.9Libjo Kanihaan 41 93.2B asilisa Roma 106 92.2Tubajon Imelda 94 92.2Tubajon M alinao 220 89.8B asilisa M ontag 83 89.2Libjo Doña Helen 70 88.6Libjo B ayanihan 134 87.6B asilisa Coring 62 87.3B asilisa New Nazareth 110 87.3


84


Map 23. Proportion of Households with Income Below the Food Threshold,by Municipality, 2008

Map 24. Proportion of Households with Income Below the Food Threshold,by Barangay, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

30.9

65.8

65.8

68.258.4

38.9

53.2

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

30.9

65.8

65.8

68.258.4

38.9

53.2


M unicip al i t y M ag ni t ud e P ro p o r t io nB asilisa 3014 68.2Libjo 2296 65.8Tubajon 928 65.8Cagd ianao 1696 58 .4Dinagat 1086 53 .2San Jose 1976 38.9Loreto 598 30.9

Ho useho ld s w i t h inco me b elo w f o o d t hresho ld

M unicip a li t y B ar ang ay M ag ni t ud e Pr o p o r t io nDinagat Justiniana Edera 104 88 .9Tubajon Imelda 90 88 .2B asilisa Roma 98 85.2Dinagat Cabayawan 84 82 .4Libjo Kanihaan 36 81.8Libjo Plaridel 293 80 .9B asilisa M ontag 74 79.6Libjo General Aguinaldo 259 78.2B asilisa Catadman 108 76.6Cagd ianao M a-atas 118 76 .1B asilisa Coring 54 76 .1



85

Map 26. Proportion of Households who Experienced Food Shortage,by Barangay, 2008

Map 25. Proportion of Households who Experienced Food Shortage,by Municipality, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

0.3

0.4

5.6

13.9

3.4

0.4

3.8

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

0.3

0.4

5.6

13.9

3.4

0.4

3.8


M unicip al i t y M ag ni t ud e P ro p o r t io nB asilisa 614 13.9Libjo 195 5.6Cagd ianao 111 3.8San Jose 173 3.4Tubajon 6 0.4Dinagat 8 0.4Loreto 6 0.3

Ho useho ld s w ho exp er ienced f o o d sho r t ag e

M unicip al i t y B arang ay M ag nit ud e P ro p o r t io nB asilisa Co lumbus 19 27.5B asilisa Coring 18 25.4B asilisa Puerto Princesa 74 25.0B asilisa Roxas 33 25.0B asilisa Catadman 33 23 .4B asilisa Roma 22 19 .1B asilisa Santa M onica 14 18 .7Libjo Kanihaan 8 18 .6B asilisa Cortes 29 17.7B asilisa M ontag 16 17.2


86


Households with income below thepover ty threshold

Households with income belowthe food threshold

Households who experiencedfood shor tage

Table 4. Income Indicators, by Barangay, Province of Dinagat Islands, 2008

BarangayMunicipality

M ag n i tude M ag n i tude M ag n i tudeP r opor t i on P r opor t i on P r opor t i on

BAS I L ISA

CAGDI ANAO

DI NAGAT

L IB JO





9412060621231322937219111970203831541106424214810610861122322592669440

84.785.187.087.375.083.080.372.780.983.865.474.689.279.487.382.181.878.392.281.881.376.379.975.670.982.575.5

7610849541071072475816510759170741349354218123989356107275452238133

68.576.671.076.165.267.367.758.669.975.455.162.579.669.173.869.273.665.185.270.574.766.968.257.759.571.162.3

1133191829941822231427162020117411223314226353883

9.923.427.525.417.75.711.28.19.316.213.19.917.210.315.914.125.05.919.125.018.713.815.66.410.17.05.7

781472759585128931264202435772146111

68.477.481.676.074.682.678.280.870.081.580.373.573.434.0

58124237816611877111333211486111457

50.965.370.364.857.976.164.771.255.570.867.662.257.317.5

531437127720222432

4.41.64.22.46.17.75.94.53.37.42.84.11.50.6

13188148102136127111103382018987

67.286.371.579.166.081.494.963.244.265.749.744.8

97841148310510710483271466571

49.782.455.164.351.068.688.950.931.447.736.336.6

300010002200

1.50.00.00.00.50.00.00.02.30.70.00.0

160110134702182824113610591313101140384273139

48.378.687.688.677.385.293.276.884.785.086.580.273.378.576.371.3

122931145916225936107907929379110346225122

36.966.474.574.757.478.281.860.572.673.880.962.757.670.862.862.6

248361713812711032436194

7.35.72.07.66.03.918.66.85.60.92.82.412.67.45.32.1


87

Households with incomebelow the pover ty th reshold

Households with incomebelow the food threshold

Households who experiencedfood shor tage

Table 4. Income Indicators, by Barangay, Province of Dinagat Islands, 2008


M ag n i tude M ag n i tude M ag n i tudeP r opor t i on P r opor t i on P r opor t i on

L O RE T O

SAN JOSE

T UBA JON




106681952138669217145126

37.230.248.778.871.584.638.352.526.640.1

6034154812059521192665

21.115.138.572.762.275.621.736.515.420.7

1000103001

0.40.00.00.00.50.01.30.00.00.3

375142249152135153228122485245284269

47.660.252.163.139.868.357.462.249.560.360.083.0

26899150928011815782349160197224

34.141.931.438.223.652.739.541.835.639.441.669.1

213121010820143215226

2.71.32.54.12.93.65.07.13.33.74.71.9

7394170220726474111233

68.992.276.989.883.782.168.566.178.5

629013417763555686205

58.588.260.672.273.370.551.951.269.0

000300012

0.00.00.01.20.00.00.00.60.7

88


Map 27. Unemployment Rate (15 years old and above), by Municipality, 2008

Map 28. Unemployment Rate (15 years old and above), by Barangay, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

0.5

1.8

1.7

0.61.2

2.5

0.2

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

0.5

1.8

1.7

0.61.2

2.5

0.2


M unicip al i t y M ag ni t ud e Pr o p o r t io nSan Jose 184 2 .5Tubajon 31 1.8Libjo 76 1.7Cagd ianao 48 1.2B asilisa 38 0 .6Loreto 13 0 .5Dinagat 7 0 .2

U nemp lo yement ra t e ( 15 years o ld and ab o ve)

M unicip al i t y B arang ay M ag ni t ud e P ro p o r t io nTubajon Navarro 10 8 .8San Jose Wilson 36 6 .8Libjo General A guinaldo 25 6 .4Cagd ianao San Jose 6 5.9Libjo Doña Helen 6 5.5Libjo M agsaysay 6 4 .4Tubajon Roxas 4 3.7San Jose San Juan 20 3 .4San Jose Aurelio 33 3.1Cagd ianao Poblacion 24 3.1



89

Map 30. Proportion of Persons who are Victims of Crime, by Barangay, 2008

Map 29. Proportion of Persons who are Victims of Crime, by Municipality, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

0.0

0.1

0.1

1.70.7

4.0

2.4

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

0.0

0.1

0.1

1.70.7

4.0

2.4


M unic ip a l it y M ag nit ud e Pr o p o r t io nSan Jose 925 4 .0Dinagat 229 2 .4B asilisa 330 1.7Cagd ianao 93 0 .7Libjo 22 0.1Tubajon 8 0.1Lo reto 3 0 .0

P erso ns w ho are v ic t ims o f c r ime

M unicip al i t y B arang ay M ag ni t ud e P ro p o r t io nB asilisa Catadman 58 9 .4Dinagat Just iniana Edera 55 9.1Dinagat New M abuhay 111 8 .0San Jose San Juan 130 7.1San Jose Just iniana Edera 95 6 .3San Jose Don Ruben Ecleo (B altazar) 127 5.7San Jose Aurelio 171 5.3San Jose Santa Cruz 99 4 .4San Jose Jacquez 47 4 .0B asilisa Co lumbus 12 3.7


90


Table 5. Unemployment and Victims of Crime Indicators, by Barangay, Province of DinagatIslands, 2008


Persons who are vict ims ofcr imes

Number o f persons inthe labor fo rce

(15 years old andabove )


P r opor t i onP r opor t i on M ag n i tudeM ag n i tude

BAS I L ISA

CAGDI ANAO

DI NAGAT

L IB JO




Albor (Pob.)ArellanoBayanihanDoña HelenGarciaGeneral AguinaldoKanihaanLlameraMagsaysayOsmeñaPlaridelQuezonRositaSan Antonio (Pob.)San Jose

19720399106250268569167342224151384165341207106444275210191114282654132546177103

001100231342001130031510600

0.00.01.00.90.00.00.41.80.31.32.60.50.00.00.50.90.70.00.01.60.91.80.20.01.10.00.0

12581282132234114261018062414933191749136

2.39.43.72.20.31.71.30.70.40.13.12.12.42.00.01.91.61.71.90.50.92.51.11.20.52.52.3

165224432172169193176190783379102138281486

223021012406223

1.20.90.70.01.20.50.00.53.10.05.91.40.70.6

7288266319906512

1.30.20.51.40.40.91.00.40.70.60.01.30.60.8

32215837822827824721826683459296254

000310020100

0.00.00.01.30.40.00.00.80.00.20.00.0

2706103055170

11100

2.80.00.61.60.30.09.12.30.08.00.00.0

40417019510940038863246136107405142318677451215

243642510601223332

0.52.41.55.51.06.41.60.04.40.03.01.40.90.40.70.9

0003431201006110

0.00.00.00.70.30.20.50.20.00.20.00.00.60.00.10.0


91

Table 5. Unemployment and Victims of Crime Indicators, by Barangay, Province of DinagatIslands, 2008


Persons who are vict ims ofcr imes

Number o f persons inthe labor fo rce

(15 years old andabove )

BarangayMunicipality

M ag n i tude M ag n i tudeP r opor t i on P r opor t i on

L O RE T O

SAN JOSE

T UBA JON




377297277923990299441220396

3100002700

0.80.30.00.00.00.00.71.60.00.0

1000000101

0.10.00.00.00.00.00.00.10.00.1

10583687064044843115463011441584687528

33113811810623201536

3.10.31.82.02.32.61.82.01.63.42.26.8

1717

127479545634153130992

5.30.65.74.06.30.43.23.63.67.14.40.1

137110253271114109145229330

2001104248

1.50.00.00.48.83.71.41.72.4

300001004

0.60.00.00.00.00.30.00.00.3

92



Map 32. CBMS Composite Indicator, by Barangay, 2008

Map 31. CBMS Composite Indicator, by Municipality, 2008

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

1.2

2.0

2.3

2.41.9

1.5

1.9

LORETO

TUBAJON

LIBJO

BASILISACAGDIANAO

SAN JOSE

DINAGAT

1.2

2.0

2.3

2.41.9

1.5

1.9

M unicip al i t yC B M S

C o mp o si t e B asilisa 2 .4Libjo 2 .3Tubajon 2 .0Cagd ianao 1.9Dinagat 1.9San Jose 1.5Loreto 1.2

M unicip al i t y B o t t o m 12 B ar ang ays C B M S C o mp o si t e Ind ica t o r

Libjo Kanihaan 3 .3B asilisa Puerto Princesa 3.1B asilisa Coring 3 .0Dinagat Cab-ilan 2 .9Tubajon Imelda 2 .8B asilisa Roma 2 .8Dinagat Just iniana Edera 2 .8B asilisa Catadman 2 .8Libjo B ayanihan 2.7Dinagat Cabayawan 2.7B asilisa Navarro 2.7B asilisa Santo Niño 2.7


93

Table 6. CBMS Composite Indicator, by Barangay, Province of Dinagat Islands, 2008

Ba rang a yMunic ipa l i ty CBMS Compos ite Indicator

Munic ipa l i ty Ba rang a y CBMS Compos ite Indicator

BAS I L ISA

CAGDI ANAO

DI NAGAT

L IB JO

L O RE T O

SAN JOSE

T UBA JON








2.62.82.63.02.22.42.52.02.32.61.72.42.62.72.41.93.12.12.82.22.42.72.02.22.22.22.0

1.81.82.41.92.42.12.02.41.72.01.91.72.21.1

1.82.72.91.91.52.22.81.81.01.81.11.1

1.42.22.72.52.32.33.32.02.42.12.22.02.52.62.62.2

0.81.12.52.11.72.31.21.10.61.0

1.32.21.31.51.02.11.52.41.21.41.52.5

1.82.81.72.52.51.81.61.52.2

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