The Many Faces of Poverty
Volume 2 The Many Faces of Poverty: Volume 2 Copyright © PEP-CBMS Network Office, 2011
ALL RIGHTS RESERVED. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—whether virtual, electronic, mechanical, photocopying, recording, or otherwise—without the written permission of the copyright owner.
Acknowledgements
The publication of this volume has been made possible through the PEP- CBMS Network Office based at the Angelo King Institute for Economic and Business Studies of De La Salle University-Manila with the aid of a grant from the International Development Research Centre (IDRC), Ottawa, Canada and the Canadian International Development Agency (CIDA). CONTENTSCONTENTS
i Foreword
1 Introduction
3 Explanatory Text
The Many Faces of Poverty
95 Marinduque
139 Oriental Mindoro
201 Palawan
247 Sarangani
281 Southern Leyte FOREWORDFOREWORD
The official poverty monitoring system (PMS) in the Philippines relies mainly on family income and expenditure surveys. Information on other aspects of well-being is generally obtained from representative health surveys, national population and housing censuses, and others. However, these surveys and censuses are (i) too costly to be replicated frequently; (ii) conducted at different time periods, making it impossible to get a comprehensive profile of the different socio-demographic groups of interest at a specific point in time; and (iii) have sampling designs that do not usually correspond to the geographical disaggregation needed by local government units (LGUs). In addition, the implementation of the decentralization policy, which devolves to LGUs the function of delivering basic services, creates greater demand for data at the local level. The Community-Based Monitoring System (CBMS) seeks to address these gaps by providing data at the local level appropriate for diagnosing the cause and extent of local poverty, formulating appropriate policies and programs, identifying eligible beneficiaries, and assessing the impact of policies and programs. It also supports the decentralization process by capacitating the LGUs to collect, analyze, and use data in local planning, budgeting, and program implementation. This second volume of statistical tables and poverty maps of seven provinces generated through the CBMS methodology represents part of what we hope will be a series of publications that will emerge 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 enjoying the fruits of their hard labor. The CBMS poverty maps will identify who and where the poor are as they provide a comprehensive picture of the different faces of poverty in different parts of the country. They will also aid in identifying the most pressing needs of the community, assist in prioritizing interventions to address these needs, and facilitate the targeting of programs for those who need the assistance most. The provinces featured in this volume are Agusan del Sur, Dinagat Islands, Marinduque, Oriental Mindoro, Palawan, Sarangani, and Southern Leyte. The statistics presented in this report are based on the 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 and commitment of our partners both at the local and national levels. For so many months now, we have worked hand-in-hand with them in consolidating databases and validating our survey findings. And now, with their consent, we are sharing their data to a wide range of CBMS stakeholders all over the country – indeed a glowing testament of their dedication to make their development planning processes more efficient and effective! Tremendous thanks are therefore in order to all our partner LGUs, national government agencies, non-government organizations, donors and other development partners for making this possible. It is hoped that this publication will provide the necessary data to facilitate evidence-based decision-making toward improving local governance and reducing poverty in the country.
CELIA M. REYES Co-Director, Poverty and Economic Policy (PEP) Research Network and CBMS Network Leader
The Many Faces of Poverty (Volume 2) i INTRODUCTIONINTRODUCTION
Considered a foremost legislation that ushered in a new era of local governance, the Local Government Code (LGC) of 1991 has paved the way not only for greater autonomy but also for increased expenditure responsibility and revenue authority of local government units. Since then, the local government units (LGUs) have assumed a greater role in local government management and service delivery. The devolution is substantial not only in the magnitude of responsibilities that were shifted to LGUs but also in the amount of resources now at their disposal to effectively discharge the devolved functions. Today, LGUs have access to multiple revenue sources, chief of which is their share in the national internal revenues—the Internal Revenue Allotment (IRA). For the period 2006–2009, the average IRA per year is P172.4 billion (see Table 1).
Table 1. Internal Revenue Allotment of Local Government Units, 2006–2009
Amount Year (in P billion) 2009 201.3 2008 169.9 2007 183.9 2006 134.5 TOTAL 689.6 Ave. per year 172.4 Source: DBM
While experts agree that local governments are not awash with cash, the P689.6 billion worth of IRA that the LGUs have received over the 4-year period is certainly a big amount. This underscores the importance of making sure that LGUs are equipped with the right tools, systems, and procedures to ensure the effective use of these public financial resources. One way to do this is by providing them access to comprehensive socioeconomic data, on the basis of which they can craft their development plans and budgets.
Statistical Issues and Concerns at the Subnational Level
With decentralization, the types of data demanded by a wide range of users—policymakers, program implementers, civil society, and others—are changing. Data disaggregated to correspond to the different levels of government are needed by LGUs to adequately assess their local situation. Moreover, longitudinal data are needed to track welfare changes over time. Household-level data are also needed to identify eligible beneficiaries of different programs. In 2005, 14 years after the LGC enactment, the ADB-WB released a report highlighting statistical issues and concerns at the subnational level. It said: “The most comprehensive and consistent comparative subnational data is at the regional level although this is simply an administrative level of government that has no responsibilities for delivery of social services. More data is gradually becoming available at the provincial level, but not at lower levels, which are at the frontline of efforts to reduce poverty.”1
1 Decentralization in the Philippines: Strengthening Local Government Financing and Resource Management in the Short-Term, 2005 (A joint document of the World Bank and the Asian Development Bank).
The Many Faces of Poverty (Volume 2) 1 Local Poverty Monitoring Systems Rise up to the Challenge
Owing to still unresolved statistical issues and concerns at the subnational level, an increasing number of LGUs all over the country have taken the initiative to establish their own Community-Based Monitoring System (CBMS). As of August 31, 2010, CBMS is being implemented in 60 provinces (32 of which are implementing the system province-wide), 698 municipalities, and 45 cities, covering a total of 18,269 barangays. Data generated by CBMS have so far been used in diagnosing the nature and extent of poverty in their localities, identifying appropriate interventions, identifying eligible beneficiaries of poverty reduction programs, and assessing the impact of some of these programs. National government agencies have likewise taken notice of the CBMS initiative. Today, CBMS is recognized as a tool for (i) building the capacity of LGUs on poverty diagnosis and planning, (ii) localizing the Millennium Development Goals (MDGs), and (iii) generating local poverty statistics for evidence- based development planning and budgeting. Parallel with efforts to establish databanks at each geopolitical level, an initiative on building the national repository of CBMS data has also been jumpstarted with the installation of the repository at the National Anti-Poverty Commission (NAPC) and at the Department of the Interior and Local Government (DILG). The national repository is envisioned to facilitate data sharing across government agencies, the private sector, donor agencies, and other relevant stakeholders. Specifically, the national repository will (i) facilitate the access and use of the integrated CBMS database by national entities in their advocacy work with key decisionmakers, (ii) support government and non-government funding sources in strengthening evidence-based planning and monitoring and in aligning their interventions to national priorities, and (ii) facilitate the implementation of targeted programs.
Concluding Remarks
Public statistics will increasingly shape public agenda at the local level as more and more LGUs establish their own monitoring systems to make their development planning processes more efficient and effective. In this scenario, local poverty monitoring systems such as the CBMS will have an extremely important role to play. The country’s experience with local-level poverty monitoring systems clearly demonstrates that there can be a comprehensive picture of the poverty situation. Very few, if any, national surveys collect information on the different dimensions of poverty. There is a survey on income and expenditure, another on health, another on education, another on employment, another on nutrition, and others. As the samples and the reference periods are different, there is no comprehensive picture of the poverty status of the population at any point in time. This is where CBMS can make a difference as it addressess these gaps through its set of core indicators relating to the different dimensions of poverty.
The Many Faces of Poverty (Volume 2) 2 EXPLANATORYEXPLANATORY TEXTTEXT
A. CBMS Core Indicators
The statistical tables and poverty maps presented in this volume pertain to the CBMS Core Indicators (also known as Core Local Poverty Indicators1), which were generated using the CBMS methodology.
Box 1. Community-Based Monitoring System (CBMS)
The CBMS is an organized way of collecting ongoing or recurring information at the local level to be used by local governments, national government agencies, non-government organization (NGOs), and civil society for planning, budgeting, and implementing local development programs, as well as for monitoring and evaluating their performance. It is a tool for improved local governance and democratic decisionmaking that promotes greater transparency and accountability in resource allocation.
It involves the following steps: Step 1 – Advocacy/organization Step 2 – Data collection and field editing Step 3 – Data encoding and map digitization Step 4 – Data consolidation, database-building and poverty mapping Step 5 – Data validation and community consultation Step 6 – Knowledge (database) management Step 7 – Plan formulation Step 8 – Dissemination, implementation, and monitoring
The CBMS Core Indicators are a set of carefully selected indicators that capture the multiple dimensions of poverty. They define the basic criteria for attaining a decent quality of life and correspond to the minimum basic needs covering (a) health, (b) nutrition, (c) housing, (d) water and sanitation, (e) basic education, (f) income, (g) employment, and (h) peace and order. Together, these indicators provide information not only on how poor a community is, but also on who in the community is poor, and where.
The CBMS Core Indicators are presented in Table 1. Meanwhile, the poverty and food thresholds used are presented in Table 2.
1 The Department of the Interior and Local Government (DILG) has issued Memorandum Circular 2003-92 (April 2003) to set policy guidelines for the adoption of the 13 core local poverty indicators, for planning and Memoradum Circular 2004-152 (November 2004) to encourage LGUs to intensify efforts toward the achievement of the millennium development goals (MDGs). The latter circular also enjoins LGUs to use monitoring systems such as MBN-CBIS, CBMS, IRAP, etc., to monitor and diagnose the nature and extent of poverty in their respective localities. CBMS was adopted by the DILG as the data collection and processing system for the CLPIMS which was the tool adopted to monitor the MDGs for LGUs.
The Many Faces of Poverty (Volume 2) 3 Table 1. The CBMS Core Indicators
BASIC NEEDS CORE INDICATORS Computation/Formula Simple Scoring
A. Health 1 Proportion of children Total number of children aged 0 to less than One (1) if the household has a under 5 years old who 5 years old who died divided by (the sum of member under 5 years old who died; died total number of children aged 0 to less than zero (0) otherwise. 5 years old plus the total number of child deaths 0 to less than 5 years old) 2 Proportion of women who Total number of women who died due to One (1) if the household has a died due to pregnancy pregnancy related causes divided by (the female member who died due to related causes total number of children less than one year pregnancy-related causes; zero (0) old plus total number of women who died otherwise. due to pregnancy related causes) B. Nutrition 3 Proportion of children 0-5 Total number of children 0-5 years old who One (1) if the household has a years old who are are moderately or severely underweight over member 0-5 years old who is malnourished total number of children 0-5 years old malnourished; zero (0) otherwise. C. Housing 4 Proportion of households Total number of households living in housing One (1) if the household lives in living in makeshift housing with makeshift roof and/or walls over total makeshift housing; zero (0) number of households otherwise. 5 Proportion of households Total number of households occupying One (1) if the household is an who are informal settlers house and/or lots without permission of informal settler; zero (0) otherwise. owner over total number of households D. Water and 6 Proportion of households Total number of households without access One (1) if the household does not Sanitation without access to safe to community water system, artesian deep have access to safe water supply; water supply and shallow wells or bottled water over total zero (0) otherwise. number of households 7 Proportion of households Total number of households without access One (1) if the household does not without access to sanitary to water-sealed toilet or closed pit over total have access to sanitary toilet toilet facilities number of households facilities; zero (0) otherwise. E. Education 8 Proportion of children 6-12 Total number of children 6-12 years old who One (1) if the household has a years old who are not are not attending elementary school over member 6-12 years old not attending elementary total number of children 6-12 years old attending elementary school; zero school (0) otherwise. 9 Proportion of children 13- Total number of children 13-16 years old One (1) if the household has a 16 years old who are not who are not attending secondary school over member 13-16 years old not attending secondary total number of children 13-16 years old attending secondary school; zero school (0) otherwise. 8-9 Proportion of children 6-16 Total number of children 6-16 years old who One (1) if the household has a years old who are not are not attending school over total number of member 6-16 years old not attending school children 6-16 years old attending school; zero (0) otherwise.
F. Income 10 Proportion of households Total number of households with income One (1) if the household has a per with income below the below the poverty threshold over total capita income below poverty poverty threshold number of households threshold; zero (0) otherwise. 11 Proportion of households Total number of households with income One (1) if the household has a per with income below the below the food (subsistence) threshold over capita income below food threshold; food threshold total number of households zero (0) otherwise. 12 Proportion of households Total number of households who One (1) if the household has who experienced food experienced food shortage over total number experienced food shortage; zero (0) shortage of households otherwise. G. Employment 13 Proportion of persons in Total number of persons aged 15 and above One (1) if the household has the labor force who are who are not working but actively seeking unemployed member/s; zero (0) unemployed work over total number of labor force* otherwise.
H. Peace and 14 Proportion of persons who Total number of persons who are victims of One (1) if the household has Order are victims of crimes crimes over total population victim/s of crime; zero (0) otherwise.
CBMS Average number of unmet Sum of unmet needs of households over Sum of the scores (number of Composite needs total number of households unmet needs) of the 13 indicators. Indicator * Agusan del Sur, Palawan, and Southern Leyte used this definition of unemployment. Meanwhile, Dinagat Islands, Marinduque, Oriental Mindoro, and Sarangani used the new official definition of unemployment as per NSCB Resolution No. 15, Series of 2004. More information about this new definition is available on the website of the National Statistical Coordination Board (NSCB): http://www.nscb.gov.ph/ resolutions/2004/15.asp
The Many Faces of Poverty (Volume 2) 4 Table 2. Poverty and Food Thresholds
Census Reference Poverty Food Province Year Year Threshold Threshold Urban Rural Urban Rural Agusan del Sur 2005 2004 15,788 12,544 10,374 8,755 Dinagat Islands 2008 2007 18,416 15,159 12,244 10,482 Marinduque 2008 2007 13,755 13,755 9,585 9,585 Oriental Mindoro 2008 2007 17,257 16,062 10,894 10,629 Palawan 2005 2004 12,712 8,834 12,712 8,834 Sarangani 2007 2006 16,099 13,044 10,436 9,288 Southern Leyte 2006 2005 12,448 12,448 8,926 8,926 2008 2007 13,470 13,470 9,689 9,689
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 statistical system at the local level. It also directs the NSCB Technical Staff to initiate and coordinate an advocacy program for the adoption of the CBMS by the LGUs, through the Regional Statistical Coordination Committees (RSCCs), the technical arm of the NSCB Executive Board in the regions.
The NSCB has also approved the CBMS Survey Instruments (NSCB Approval No. DILG-0903- 01)
C. Survey Operations
All survey operations were undertaken under the supervision of the CBMS Technical Working Groups (TWGs) at the provincial and municipal Levels. They identified the local personnel who were trained as enumerators and field supervisors. Technical assistance was provided by the PEP-CBMS Network Office, the Bureau of Local Government Development (BLGD) and Regional Office IV-B of the Department of the Interior and Local Government (DILG), National Anti-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) is conducted for members of the TWGs. This is usually conducted by members of the research staff of the PEP-CBMS Network Office and CBMS-accredited trainors from the DILG, NAPC and NEDA. Meanwhile, a second level training (Training of Enumerators) is conducted for enumerators--usually composed of barangay health workers and students. Members of the TWG act as trainors in this training.
The Many Faces of Poverty (Volume 2) 5 D. Data Processing System
The CBMS Data Processing System includes the CBMS Data Encoding System, Statistics Simulator (StatSim) and the CBMS-Natural Resources Database (NRDB).
The CBMS Encoding System uses CSPro (Census and Survey Processing), a software developed by the United States Bureau of Census for entering, editing, tabulating, and disseminating data from censuses and surveys. The CSPro-based Encoding System converts survey data into electronic data. It produces text files (ASCII) described by data dictionaries, which adds flexibility to the output data. This feature facilitates the interface between the CBMS data and other database systems and statistical softwares.
The CBMS-NRDB is capable of creating and storing spatial (shapefiles) and non-spatial (texts and numbers) data as well as generating maps, reports and graphs ideal for presentation and analysis of poverty attributes in the community. This has significantly addressed the need for a simple yet powerful and free geographically-oriented database.
The CBMS Mapping system employs the Natural Resources Database2 (NRDB) for CBMS- based poverty mapping and for storing and displaying household- and individual-level information.
The data presented through poverty maps using the CBMS-NRDB are processed using the CBMS StatSim which has been developed by the PEP-CBMS Network Office to address the particular need of LGUs to harness outputs from the CBMS Database such as custom tables, reports, case lists and queries. The StatSim simulates simple computations and tabulations usually done through statistical software or other tabulation applications, and also exports indicators and statistics for use in dissemination, such as tables and maps.
These software are provided for free to CBMS-implementing LGUs.
E. CBMS Poverty Maps
The poverty map for each indicator is prepared at two levels. The first level is the provincial map disaggregated by municipality while the second level is the provincial map by barangay.
A simple color scheme is used for the poverty maps. Green, light green, pink and red represents the four ranges of data for each indicator. Each indicator, however, used a different range relative to the national data (Table 2). Color ranges used for the maps are common for all 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 Environment Management Office through the assistance of the Voluntary Service Overseas (vso.org.uk).
The Many Faces of Poverty (Volume 2) 6 Table 3. Color Ranges for Poverty Maps
Color Ranges BASIC NEEDS CORE INDICATORS Green Light Green Pink Red
A. Health 1 Proportion of children under 5 years old who 0-5 5.01-10 10.01-15 15.01-100 died 2 Proportion of women who died due to pregnancy 0-5 5.01-10 10.01-15 15.01-100 related causes B. Nutrition 3 Proportion of children aged 0-5 years old who are 0-5 5.01-10 10.01-15 15.01-100 malnourished 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 0-1 1.01-2 2.01-3 3.01-100 who are informal settlers D. Water and 6 Proportion of households Sanitation without access to safe 0-25 25.01-50 50.01-75 75.01-100 water supply 7 Proportion of households without access to sanitary 0-25 25.01-50 50.01-75 75.01-100 toilet facilities E. Education 8 Proportion of children aged 6-12 years old who are not 0-5 5.01-10 10.01-15 15.01-100 attending elementary school 9 Proportion of children aged 13-16 years old who are 0-5 5.01-10 10.01-15 15.01-100 not attending secondary school 8-9 Proportion of children aged 6-16 years old who are not 0-5 5.01-10 10.01-15 15.01-100 attending school F. Income 10 Proportion of households with income below the 0-10 10.01-20 20.01-30 30.01-100 poverty threshold 11 Proportion of households with income below the 0-10 10.01-20 20.01-30 30.01-100 food threshold 12 Proportion of households who experienced food 0-5 5.01-10 10.01-15 15.01-100 shortage G. Employment 13 Proportion of persons in the labor force who are 0-3 3.01-6 6.01-9 9.01-100 unemployed H. Peace and 14 Proportion of persons who 0-4 3.01-7 6.01-10 9.01-101 Order are victims of crimes
CBMS Average number of unmet Composite needs 0-1 1.01-2 2.01-3 3.01-13 Indica tor
F. Limitations of the Data
While observations are taken from the entire population, the user of the data presented in this report should bear in mind that due to some difficulties, the CBMS census could not be carried out in Silago, Southern Leyte; one barangay in Maasin City, also in Southern Leyte; and 4 barangays in Malungon, Sarangani. Data for some of the barangays in the following city/municipalities in Palawan were also not available: Puerto Princesa City, Araceli, Balabac, Bataraza, Narra, Roxas, Taytay, and Kalayaan.
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 of income. As in other surveys, the CBMS enumerators may also have encountered interview non- response and item non-response.
The Many Faces of Poverty (Volume 2) 7 Blank Page Republic of the Philippines Province of Sarangani Office of the Governor
Message
Congratulations to the PEP-CBMS Network as you publish the Second Volume of “The Many Faces of Poverty.”
Sarangani Province was identified as a self-sufficient, competitive, and globalized province. However, over the past 17 years, the province was listed in surveys as one of the 20 poorest provinces in the country. It was ranked 3rd poorest in 2004 and 11th poorest in 2006. The criteria for a province to be listed among the top 20 poorest provinces of the country includes: the quality of education; access to health; and, access to potable water.
In this connection, the Province invested in an accurate database project, the Community-Based Monitoring System, that can be used in identifying where the province should focus the implementation of various projects for development. The database was completed in July 2009.
Through CBMS results, the root cause of poverty down to the sitio or purok level was identified. It showed where the poorest barangays in the province are located and education is most needed. Also, what areas needed intervention for health care.
I urge local chief executives, local planners and other development practitioners to consider and adopt the CBMS database to be used as a tool for decision-making in establishing development programs at the barangay level. The future of our young generation depends on the decisions that are made today especially by the leaders of the barangays.
The war against poverty in Sarangani goes on even now. We know that there is still much to be done. But we are confident that, with CBMS, we will be able to focus our resources on the right target and undertake sustainable interventions towards poverty alleviation.
Mabuhay!
MIGUEL RENE A. DOMINGUEZ Governor
The Many Faces of Poverty (Volume 2) 247 Faces of Poverty in Sarangani
POPULATION Sarangani recorded a total population of 400,092 in 88,780 households in 2007 The province has an average household size of 5 persons. The 2008 CBMS survey covered the province’s seven municipalities and 136 barangays. Among all municipalities, Malungon is the most populated having a total population of 79,880 and accounting for 20.0% of province’s population during the period. This is followed by Glan with a total of 75,013 persons (18.7%) and Malapatan with 60,586 individuals (15.1%). Of the population in the province, 43.4% belongs to age range 16 years old and below.
HEALTH AND NUTRITION Three in every 1,000 children 0–4 years old died Of children 0–4 years old, 0.3% in the province died during the reference period. This represents 176 cases of deaths among children who are 4 years old and below. The municipalities of Kiamba and Maitum had the highest proportion of child deaths at 0.5% each. At a more disaggregated level, however, some barangays recorded higher rates. For instance, Barangay Kiayap had 2.4%. Barangay Sapu Masla in Malapatan reported the highest number of child deaths with 17 cases, representing 2.0% of children 0–4 years old.
Two in every 1,000 pregnant women died due to pregnancy-related causes Although the province recorded deaths among women due to pregnancy-related causes, this figure is relatively low at 0.2%, which represents 23 cases. The municipality of Glan recorded the highest proportion at 0.6% where 8 women died due to pregnancy-related causes.The number of women deaths per municipality ranges from 0–8% during the reference period.
Three in every 100 children 0–5 years old were malnourished Information on the nutritional status of children revealed that 3.3% of children 0–5 years old in the province were malnourished. This translates to 3 malnourished children for every 100 children 0–5 years old. Higher rates were reported in the municipalities of Glan and Kiamba at 9.1% and 6.2%, respectively. The more disaggregated data revealed bigger problem at the barangay level. Three barangays in the province recorded at least 20 malnourished children for every 100 children aged 0–5 years old. These include Barangay Batotuling (34.0%) and Barangay Small Margus (29.7%) in the municipality of Glan; and Barangay Bati-an (25.1%) in the municipality of Maitum.
HOUSING Some 3.6 % of households were living in makeshift housing; 3.2 % were informal settlers The municipal level data shows that the proportion of households living in makeshift housing is slightly higher than the province estimate. The municipality of Glan (6.1%) recorded the highest proportion of households in makeshift housing, followed by Kiamba (5.6%). The prevalence of makeshift houses is also more evident in some barangays. For instance, in seven barangays, at least two in every 10 households were living in makeshift housing. These are Barangays Cablalan (47.1%), Datalbukay (41.1%), and Calabanit (20.4%) in Glan; Barangays Katubao (35.1%) and Tablao (20.5%) in Kiamba; and Barangay Banahaw (30.1%) in Malungon. Note that almost half of the households in Barangay Cablalan were living in makeshift housing.
Although 3.2% of households in the province were informal settlers, the problem on squatting is more pronounced in the municipalities of Malapatan and Glan than in other municipalities. In fact, 5.6 % and 5.2 % of households in these municipalities, respectively, were considered as informal settlers. These figures are higher than the provincial data. The municipality of Glan had four barangays where at least two in every 10 households were considered informal settlers. These are Barangays Gumasa (39.1%), Batotuling (27.6%), Tapon (26.3%), and Cross (24.5%). It was noted that four in every 10 households in Barangay Gumasa were informal settlers.
The Many Faces of Poverty (Volume 2) 248 WATER AND SANITATION Some 28.5% of households had no access to safe water supply; 36.8% had no access to sanitary toilet facilities The 2007 CBMS survey results revealed a problem on water and sanitation as reflected in the relatively large proportion of households in the province with no access to safe water supply and sanitary toilet facilities. Households without access to safe water supply is highest in the municipality of Glan (46.0%), followed by Malungon (39.0%) and Malapatan (30.6%). Looking at a more disaggregated data, 32 “waterless barangays”1 were reported out of 136 barangays in the province.
The problem is more pronounced in the municipality of Malapatan where 51.5% of households had no access to sanitary toilet facilities. This means that five in every 10 households in the municipality did not have access to sanitary toilet facilities. At the barangay level, the highest proportion of households without sanitary toilet facilities is recorded in Barangay Tuanadatu in Maitum (97.2%), followed by Barangay Kaltuad (95.0%) in Glan, and Barangay Upper Suyan (94.3%) in Malapatan.
BASIC EDUCATION Of children 6–16 years old, 26.0% were not in school Among children 6–12 years old, 32.5% were not in elementary school while 62.1% of children 13–16 years old were not attending high school. Looking specifically at the group of children 6–16 years old, it was noted that 26.0% were not enrolled in school. This means that 26 in every 100 children 6–16 years old were out of school. The highest proportion is recorded in the municipality of Malapatan (34.7%), followed by Maasim (30.0%). The more disaggregated data revealed that some barangays had higher rates. For instance, there were six barangays in the province where at least half of the children 6–16 years old were not attending school. Among all barangays, the highest proportion was recorded in Barangay Upper Suyan (69.6%) in Malapatan, followed by Barangay Datal Anggas (67.8%) in Alabel, and Barangay Lutay (56.3%) in Malungon.
INCOME AND LIVELIHOOD At least 6 in every 10 households were income poor The proportion of households living below the poverty line in the province is very high at 63.7%. This means that six in every 10 households in the province are considered income poor. Poverty rates at the municipality level range from 59.1% to 78.3% with Malapatan having the highest poverty rate. This highlights the huge problem in terms of income poverty. Furthermore, there are barangays where almost all households were living below the poverty line. For instance, 99.6% and 99.3% of households in Barangay Bati-an (Maitum) and Barangay San Juan (Malungon), respectively, were classified as income poor.
About 5 in every 10 households had no sufficient income to satisfy their nutritional requirements The province also faces problems of food poverty. Of the total households, 49.7% had no sufficient income to satisfy their nutritional requirements. Hence, five in every 10 households were living below the subsistence threshold. The municipality of Malapatan recorded the highest rate of food poverty rate at 66.9%. Among barangays, Barangay San Juan (98.9%) in Malungon and Barangay Bati-an (98.8%) in Maitum recorded the highest food poverty rate.
Food shortage was experienced by 3.5% of the households Although the province recorded a relatively high incidence of food poverty, data showed that only 3.5% of the households reported having experienced food shortage during the 3-month period prior to the survey. The problem, however, is more pronounced in the municipality of Maitum where 12.9% of the households suffered food shortage during the period. Higher rates of hunger incidence were also reflected at the barangay level. Barangay Bati-an in Maitum recorded 88.6% of hunger incidence while 70.5% of households in Barangay Upper Lumabat in Malungon experienced hunger.
1 “Waterless barangays” refer to villages with less than 50% (safe) water supply coverage.
The Many Faces of Poverty (Volume 2) 249 The province recorded a relatively low unemployment rate at 1.2% Based on the results of the 2007 survey, 29.9% of the total population in the province were members of the labor force. Among them, only 1.2% was unemployed, representing a total of 1,407 individuals. At the municipal level, Glan had the highest unemployment rate of 2.0% while Barangay Taluya in Glan recorded the highest rate among all barangays in the province at 7.3%.
PEACE AND ORDER Only 0.1% of the total population had been victims of crime In terms of peace and order, there were 516 individuals who have been reported as victims of any type of crime. This represents only 0.1% of the total population. The municipality of Malungon recorded the highest number (182 persons) of victims of crime. A few barangays reported crime rates that are more than 1.0%. These include Barangay Seven Hills (1.8%) in Maasim, Barangays Kiblat (1.6%) and Tamban (1.5%) in Malungon, and Barangay Ilaya (1.3%) in Glan.
CBMS COMPOSITE INDICATOR Households were not able to meet 2.1 of the 13 basic needs 2, on the average Among all municipalities, the municipality of Malapatan recorded the highest composite index at 2.7 implying that it had the worst condition among the municipalities in terms of meeting the identified basic needs. The municipality of Kiamba had the smallest composite index (1.8) although the figure is not significantly far below. At the barangay level, some barangays exhibited composite indices that are higher than the provincial data. For instance, households in Barangay San Juan (4.4) in Malungon, Barangay Bati-an (4.3) in Maitum, and Barangay Upper Suyan (4.0) in Malapatan generally had at least 4 unmet basic needs.
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 who are informal settlers; (6) households without access to safe water supply; (7) households without access to sanitary toilet facilities; (8) children 6–16 years 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 higher index would mean more unmet needs and hence, worse condition for the households.
The Many Faces of Poverty (Volume 2) 250 The Many Faces of Poverty in the Province of Sarangani
CBMS Core Indicators, Province of Sarangani, 2007
Households Population INDICATOR Magnitude Proportion Ma gni tu de Pro po r tio n
DEMOGRAPHY Population 88780 400092 Average household size 5 Children 0-5 years old 61888 Children 6-12 years old 72950 Members 13-16 years old 38611 Members 6-16 years old 111561 Members 10 years old and above 296121 Members of the labor force 119666
HEALTH AND NUTRITION Children 0-4 year old who died 176 0.3 Women who died due to pregnancy-related causes 23 0.2 Malnourished children 0-5 year old 2052 3.3
HOUSING Households living in makeshift housing 3217 3.6 Households who are informal settlers 2794 3.2
WATER AND SANITATION Households without access to safe water supply 24907 28.5 Households without access to sanitary toilet facilities 32484 36.8
BASIC EDUCATION Children 6-12 years old not attending elementary school 23718 32.5 Children 13-16 years old not attending high school 23955 62.1 Children 6-16 years old not attending school 28974 26.0
INCOME AND LIVELIHOOD Households with income below the poverty threshold 56557 63.7 Households with income below the food threshold 44076 49.7 Households that experienced food shortage 3073 3.5 Unemployment rate (15 years old and above) 1407 1.2
PEACE AND ORDER Victims of crime 516 0.1
CBMS Composite Indicator, Province of Sarangani, 2007
Av era g e CBMS Composite Indicator 2.1
The Many Faces of Poverty (Volume 2) 251 CBMS Core Indicators, by Municipality, Province of Sarangani, 2007
Municipality Total Total Number of Malnourished Number of Child deaths Number of Women deaths due ho use hol ds population ch ildren ch ildren ch ildren (0-4 years old) ch ildren to pregnancy-related (0-5 (0-5 years old) (0-4 (0-1 causes years old) M ag n i tu d e Propor tion years old ) M ag n i tu d e Propor tion year old) M a g ni tu de Propor tion
ALABEL 11923 53289 8224 74 0.9 6820 23 0.3 1392 2 0.1 GLAN 16878 75013 10352 937 9.1 8414 31 0.4 1347 8 0.6 KIAMBA 11401 54256 8364 520 6.2 6942 36 0.5 1437 2 0.1 MAASIM 8952 41235 7262 168 2.3 6059 13 0.2 1135 0 0.0 MAITUM 8579 35833 5260 134 2.6 4427 22 0.5 832 4 0.5 MALAPATAN 12950 60586 10102 19 0.2 8248 32 0.4 1539 5 0.3 MALUNGON 18097 79880 12324 200 1.6 10136 19 0.2 1967 2 0.1
Municipality Households living in Households who are Households without access Households without access makeshift housing informal settlers to safe water supply to sanitary toilet facilities
M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n
ALABEL 383 3.2 250 2.1 1235 10.9 2951 25.0 GLAN 1031 6.1 869 5.2 7727 46.0 7845 46.6 KIAMBA 633 5.6 200 1.9 1753 15.5 3692 32.5 MAASIM 308 3.5 225 2.5 1428 16.3 4373 49.1 MAITUM 118 1.4 163 1.9 1879 22.2 2204 25.8 MALAPATAN 251 1.9 724 5.6 3928 30.6 6650 51.5 MALUNGON 493 2.7 363 2.0 6957 39.0 4769 26.6
Municipality Number of Children not Number of Children not attending Number of Children not ch ildren attending elementary ch ildren high school ch ildren attending school (6-12 years old) s ch oo l (13-16 years (13-16 years old) (6-16 years (6-16 years old) (6-12 years old) ol d) ol d) M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n
ALABEL 9294 3276 35.3 5076 3011 59.3 14370 4006 27.9 GLAN 13750 4961 36.1 7634 5299 69.4 21384 5963 27.9 KIAMBA 9702 2393 24.7 5075 2769 54.6 14777 2454 16.6 MAASIM 7246 2352 32.5 3740 2469 66.1 10986 3296 30.0 MAITUM 6263 1740 27.8 3189 1751 54.9 9452 2007 21.2 MALAPATAN 11778 4698 39.9 5960 4034 67.7 17738 6152 34.7 MALUNGON 14917 4298 28.8 7937 4622 58.2 22854 5096 22.3
Municipality Households with income below the Households with income below the food Households who experienced food poverty threshold threshold shortage M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n
ALABEL 8094 67.9 6648 55.8 8 0.1 GLAN 10022 59.4 7304 43.3 76 0.5 KIAMBA 6785 59.5 5099 44.7 175 1.5 MAASIM 5292 59.1 3812 42.6 21 0.2 MAITUM 5193 60.5 4002 46.7 1108 12.9 MALAPATAN 10133 78.3 8662 66.9 289 2.2 MALUNGON 11038 61.0 8549 47.2 1396 7.7
Municipality Number of persons in the Unemployment rate Persons who are CBMS Composite labor force (15 years old and above) victims of crimes Ind icator (15 years old and above) M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n
ALABEL 15057 137 0.9 36 0.1 1.9 GLAN 21640 432 2.0 154 0.2 2.4 KIAMBA 17582 208 1.2 42 0.1 1.8 MAASIM 12337 196 1.6 29 0.1 2.0 MAITUM 11365 154 1.4 63 0.2 1.9 MALAPATAN 15833 16 0.1 10 0.0 2.7 MALUNGON 25852 264 1.0 182 0.2 2.1
The Many Faces of Poverty (Volume 2) 252 CBMS Poverty Maps: Sarangani
Map 1. Proportion of Children 0-4 Years Old who Died, by Municipality, 2007
MALUNGON 0.2 Child deaths (0-4 years old)
M unicipality M ag nit ud e P r o p o r t io n
Kiamba 36 0 .5 ALABEL 0.3 M aitum 22 0 .5 MAITUM M alap atan 32 0 .4 0.5 Glan 3 1 0 .4 KIAMBA A lab el 23 0 .3 MALAPATAN 0.5 0.4 M aasim 13 0 .2 MAASIM M alung on 19 0 .2 0.2
GLAN 0.4
Map 2. Proportion of Children 0-4 Years Old who Died, by Barangay, 2007
Bottom 12 Barangays MALUNGON M unicipality B ar a ng ay M ag nit ud e Pr o p o r t io n 0.2 M aitum Kiayap 3 2 .4 M alap atan Sap u M asla 17 2 .0 M alung on Kiblat 4 1.5 Glan E. A legad o 5 1.4 ALABEL Glan Cro ss 3 1.4 0.3 Kiamba Lagundi 3 1.4 MAITUM 0.5 Glan Gumasa 3 1.4 M aasim Kab atio l 4 1.3 KIAMBA Glan Ilaya 3 1.1 0.5 MALAPATAN 0.4 Kiamba Suli 3 1.0 MAASIM M aitum Pang i (Linao) 1 1.0 0.2 M aitum M ab ay 3 1.0
GLAN 0.4
The Many Faces of Poverty (Volume 2) 253 CBMS Poverty Maps: Sarangani
Map 3. Proportion of Women who Died Due to Pregnancy-Related Causes, by Municipality, 2007
MALUNGON 0.1 Women deaths due to pregnancy-related ca us es M unicipality M ag nit ud e P r o p o r t io n
Glan 8 0.6 ALABEL M aitum 4 0.5 0.1 MAITUM M alap atan 5 0.3 0.5 A lab el 2 0.1 KIAMBA Kiamba 2 0.1 0.1 MALAPATAN M alung on 2 0.1 0.3 MAASIM M aasim 0 0.0 0.0
GLAN 0.6
Map 4. Proportion of Women who Died Due to Pregnancy-Related Causes, by Barangay, 2007
Bottom 10 Barangays MALUNGON M unicipality B ar ang a y M a g nit ud e P r o p o r t io n 0.1 Glan Tapo n 1 50.0 Glan E. A leg ad o 1 7.7 M aitum Zio n 2 7.1 M aitum Pang i (Linao) 1 4 .5 ALABEL M aitum Sison (Edenton) 1 4 .3 0.1 Glan Datalbukay 3 3 .3 MAITUM 0.5 M alung on A lkikan 1 3 .0 Glan Taluya 1 2 .5 KIAMBA M alap atan Sapu M asla 3 2 .3 0.1 MALAPATAN 0.3 Kiamba Salakit 1 2 .2 MAASIM 0.0
GLAN 0.6
The Many Faces of Poverty (Volume 2) 254 CBMS Poverty Maps: Sarangani
Map 5. Proportion of Children 0-5 Years Old who are Malnourished, by Municipality, 2007
MALUNGON 1.6 M alnourished children (0-5 years old) M unicipality M a g nit ud e Pr o p o r t io n
Glan 937 9 .1 ALABEL Kiamba 520 6.2 0.9 MAITUM M aitum 134 2.6 2.6 M aasim 168 2.3 M alung on 200 1.6 KIAMBA 6.2 MALAPATAN A lab el 74 0.9 0.2 M alap atan 19 0.2 MAASIM 2.3
GLAN 9.1
Map 6. Proportion of Children 0-5 Years Old who are Malnourished, by Barangay, 2007
Bottom 10 Barangays MALUNGON M unicipality B a r ang ay M a g nit ud e Pr o p o r t io n 1.6 Glan B atotuling 68 34 .0 Glan Small M argus 119 29 .7 M aitum B ati-an 51 2 5.1 Glan Kapatan 77 19.6 ALABEL Glan B aliton 127 19.2 0.9 Glan Lag uimit 8 5 18.9 MAITUM 2.6 Glan Glan Padidu 88 18.6 Kiamba Luma 29 18.5 KIAMBA 6.2 MALAPATAN Glan Cross 4 5 17.6 0.2 Kiamba Kapate 51 17.0 MAASIM 2.3
GLAN 9.1
The Many Faces of Poverty (Volume 2) 255 Table 1. Health and Nutrition Indicators, by Barangay, Province of Sarangani, 2007
Municipality B a ra n g a y Number of Malnourished Number of Child deaths Number of Women deaths ch ildren ch ildren ch ildren (0-4 years old) ch ildren due to (0-5 (0-5 years old) (0-4 (0-1 pregnancy-related years old) years old) year old) c a u s e s
M a g ni tu de Propor tion M a g ni tu de Pr opo r ti on M a g ni tu de Propor tion
ALABEL Alegria 786 4 0.5 661 4 0.6 159 0 0.0 Bagacay 370 2 0.5 309 1 0.3 69 0 0.0 Baluntay 389 6 1.5 323 2 0.6 43 0 0.0 Datal Anggas 508 29 5.7 417 3 0.7 71 0 0.0 Domolok 346 0 0.0 292 0 0.0 69 0 0.0 Kawas 838 1 0.1 699 1 0.1 143 0 0.0 Maribulan 621 13 2.1 494 0 0.0 105 0 0.0 Pag-Asa 1263 3 0.2 1052 2 0.2 170 0 0.0 Paraiso 323 1 0.3 273 0 0.0 44 0 0.0 Poblacion (Alabel) 1782 7 0.4 1467 7 0.5 333 1 0.3 Spring 592 8 1.4 489 3 0.6 117 1 0.8 Tokawal 406 0 0.0 344 0 0.0 69 0 0.0
GLAN Baliton 661 127 19.2 557 0 0.0 102 0 0.0 Batotuling 200 68 34.0 168 0 0.0 45 0 0.0 Batulaki 244 5 2.0 197 1 0.5 35 0 0.0 Big Margus 553 65 11.8 474 0 0.0 93 0 0.0 Burias 449 8 1.8 379 0 0.0 66 0 0.0 Cablalan 315 1 0.3 265 0 0.0 50 0 0.0 Calabanit 370 25 6.8 306 1 0.3 60 0 0.0 Calpidong 96 4 4.2 59 0 0.0 0 0 0.0 Congan 180 0 0.0 157 0 0.0 30 0 0.0 Cross 256 45 17.6 209 3 1.4 48 0 0.0 Datalbukay 678 102 15.0 521 4 0.8 87 3 3.3 E. Alegado 429 14 3.3 340 5 1.4 12 1 7.7 Glan Padidu 474 88 18.6 379 1 0.3 71 0 0.0 Gumasa 275 4 1.5 216 3 1.4 38 0 0.0 Ilaya 355 4 1.1 263 3 1.1 5 0 0.0 Kaltuad 202 10 5.0 174 1 0.6 26 0 0.0 Kapatan 392 77 19.6 317 3 0.9 56 0 0.0 Lago 256 0 0.0 216 2 0.9 47 0 0.0 Laguimit 449 85 18.9 372 0 0.0 57 0 0.0 Mudan 212 1 0.5 168 0 0.0 0 0 0.0 New Aklan 243 3 1.2 197 0 0.0 32 0 0.0 Pangyan 792 32 4.0 671 0 0.0 145 2 1.4 Poblacion 338 2 0.6 266 1 0.4 8 0 0.0 Rio Del Pilar 153 0 0.0 112 0 0.0 0 0 0.0 San Jose 192 2 1.0 162 0 0.0 27 0 0.0 San Vicente 166 4 2.4 125 0 0.0 23 0 0.0 Small Margus 401 119 29.7 345 0 0.0 83 0 0.0 Sufatubo 207 27 13.0 159 0 0.0 13 0 0.0 Taluya 362 8 2.2 285 1 0.3 39 1 2.5 Tango 245 0 0.0 200 1 0.5 48 0 0.0 Tapon 207 7 3.4 155 1 0.6 1 1 50.0
KIAMBA Badtasan 385 44 11.4 316 0 0.0 57 0 0.0 Datu Dani 286 47 16.4 237 0 0.0 48 0 0.0 Gasi 312 38 12.2 258 1 0.4 65 0 0.0 Kapate 300 51 17.0 259 1 0.4 44 0 0.0 Katubao 856 54 6.3 709 6 0.8 134 0 0.0 Kayupo 542 19 3.5 462 1 0.2 107 0 0.0 Kling (Lumit) 114 3 2.6 93 0 0.0 21 0 0.0 Lagundi 257 17 6.6 212 3 1.4 36 0 0.0 Lebe 96 13 13.5 80 0 0.0 11 0 0.0 Lomuyon 560 46 8.2 454 0 0.0 95 0 0.0 Luma 157 29 18.5 130 1 0.8 28 0 0.0 Maligang 314 31 9.9 256 1 0.4 48 0 0.0 Nalus 619 7 1.1 513 3 0.6 98 1 1.0 Poblacion 1774 34 1.9 1489 11 0.7 336 0 0.0 Salakit 235 0 0.0 196 0 0.0 44 1 2.2 Suli 349 12 3.4 287 3 1.0 66 0 0.0 Tablao 199 22 11.1 160 0 0.0 27 0 0.0 Tamadang 223 17 7.6 192 0 0.0 32 0 0.0 Tambilil 786 36 4.6 639 5 0.8 140 0 0.0
MAASIM Amsipit 730 30 4.1 602 2 0.3 91 0 0.0 Bales 236 0 0.0 191 0 0.0 37 0 0.0 Colon 678 12 1.8 586 0 0.0 125 0 0.0 Daliao 322 12 3.7 266 2 0.7 47 0 0.0 Kabatiol 372 5 1.3 313 4 1.3 55 0 0.0 Kablacan 697 2 0.3 575 0 0.0 104 0 0.0 The Many Faces of Poverty (Volume 2) 256 Table 1. Health and Nutrition Indicators, by Barangay, Province of Sarangani, 2007
Municipality B a ra n g a y Number of Malnourished Number of Child deaths Number of Women deaths ch ildren ch ildren ch ildren (0-4 years old) ch ildren due to (0-5 (0-5 years old) (0-4 (0-1 pregnancy-related years old) years old) year old) c a u s e s
M a g ni tu de Propor tion M a g ni tu de Pr opo r ti on M a g ni tu de Propor tion
MAASIM Kamanga 542 58 10.7 449 2 0.4 89 0 0.0 Kanalo 182 1 0.6 148 0 0.0 27 0 0.0 Lumasal 581 7 1.2 490 0 0.0 99 0 0.0 Lumatil 355 0 0.0 287 0 0.0 46 0 0.0 Malbang 352 0 0.0 293 2 0.7 59 0 0.0 Nomoh 546 25 4.6 452 0 0.0 83 0 0.0 Pananag 128 0 0.0 102 0 0.0 16 0 0.0 Poblacion (Maasim) 614 1 0.2 531 0 0.0 109 0 0.0 Seven Hills 123 9 7.3 106 0 0.0 25 0 0.0 Tinoto 804 6 0.7 668 1 0.1 123 0 0.0
MAITUM Bati-an 203 51 25.1 184 0 0.0 37 0 0.0 Kalaneg 219 22 10.0 176 1 0.6 40 0 0.0 Kalaong 304 8 2.6 268 1 0.4 43 0 0.0 Kiambing 138 1 0.7 118 1 0.8 21 0 0.0 Kiayap 143 0 0.0 120 3 2.4 24 0 0.0 Mabay 351 3 0.9 303 3 1.0 70 0 0.0 Maguling 245 0 0.0 200 1 0.5 23 0 0.0 Malalag (Pob.) 535 0 0.0 439 4 0.9 95 0 0.0 Mindupok 477 2 0.4 399 3 0.7 83 0 0.0 New La Union 194 0 0.0 170 0 0.0 32 0 0.0 Old Poblacion (Maitum) 518 3 0.6 432 3 0.7 88 0 0.0 Pangi (Linao) 115 8 7.0 97 1 1.0 21 1 4.5 Pinol 317 0 0.0 263 0 0.0 38 0 0.0 Sison (Edenton) 185 12 6.5 149 0 0.0 22 1 4.3 Ticulab 283 18 6.4 241 0 0.0 40 0 0.0 Tuanadatu 274 0 0.0 221 0 0.0 28 0 0.0 Upo (Lanao) 363 2 0.6 314 1 0.3 72 0 0.0 Wali (Kambuhan) 211 0 0.0 174 0 0.0 29 0 0.0 Zion 185 4 2.2 159 0 0.0 26 2 7.1
MALAPATAN Daan Suyan 636 0 0.0 528 1 0.2 88 0 0.0 Kihan 622 0 0.0 512 0 0.0 82 0 0.0 Kinam 1180 0 0.0 964 0 0.0 138 0 0.0 Libi 379 12 3.2 318 3 0.9 52 0 0.0 Lun Masla 587 0 0.0 473 1 0.2 100 0 0.0 Lun Padidu 1331 3 0.2 1084 4 0.4 228 0 0.0 Patag 273 0 0.0 227 0 0.0 45 0 0.0 Poblacion (Malapatan) 2145 0 0.0 1748 6 0.3 348 1 0.3 Sapu Masla 1027 1 0.1 844 17 2.0 126 3 2.3 Sapu Padidu 340 0 0.0 254 0 0.0 37 0 0.0 Tuyan 641 1 0.2 527 0 0.0 113 1 0.9 Upper Suyan 941 2 0.2 769 0 0.0 182 0 0.0
MALUNGON Alkikan 272 21 7.7 226 0 0.0 32 1 3.0 Ampon 349 0 0.0 289 0 0.0 58 0 0.0 Atlae 255 7 2.7 205 0 0.0 35 0 0.0 Banahaw 281 1 0.4 234 0 0.0 61 0 0.0 Banate 517 33 6.4 430 0 0.0 89 0 0.0 Datal Bila 238 6 2.5 191 0 0.0 27 0 0.0 Datal Tampal 469 8 1.7 394 0 0.0 86 1 1.1 J.P. Laurel 356 2 0.6 292 0 0.0 45 0 0.0 Kawayan 226 1 0.4 178 0 0.0 22 0 0.0 Kibala 75 0 0.0 60 0 0.0 12 0 0.0 Kiblat 338 3 0.9 268 4 1.5 52 0 0.0 Kinabalan 339 7 2.1 270 0 0.0 46 0 0.0 Lower Mainit 220 22 10.0 187 1 0.5 30 0 0.0 Lutay 577 7 1.2 487 0 0.0 91 0 0.0 Malalag Cogon 505 4 0.8 408 1 0.2 96 0 0.0 Malandag 1711 2 0.1 1398 2 0.1 282 0 0.0 Malungon Gamay 315 5 1.6 250 0 0.0 54 0 0.0 Nagpan 465 38 8.2 386 1 0.3 62 0 0.0 Panamin 315 5 1.6 262 2 0.8 52 0 0.0 Poblacion 1192 3 0.3 992 3 0.3 225 0 0.0 San Juan 192 1 0.5 165 0 0.0 29 0 0.0 San Miguel 454 9 2.0 365 1 0.3 42 0 0.0 San Roque 496 9 1.8 414 1 0.2 104 0 0.0 Talus 318 1 0.3 267 0 0.0 45 0 0.0 Tamban 955 3 0.3 776 2 0.3 149 0 0.0 Upper Lumabat 338 2 0.6 280 1 0.4 53 0 0.0 Upper Mainit 556 0 0.0 462 0 0.0 88 0 0.0 The Many Faces of Poverty (Volume 2) 257 CBMS Poverty Maps: Sarangani
Map 7. Proportion of Households Living in Makeshift Housing, by Municipality, 2007
MALUNGON 2.7 Households living in makeshift housing
M unicipality M a g nit ud e Pr o p o r t io n
Glan 1031 6.1 ALABEL Kiamba 63 3 5.6 3.2 MAITUM M aasim 30 8 3.5 1.4 A lab el 38 3 3 .2 KIAMBA M alung on 49 3 2.7 5.6 MALAPATAN M alap atan 2 51 1.9 1.9 MAASIM M aitum 118 1.4 3.5
GLAN 6.1
Map 8. Proportion of Households Living in Makeshift Housing, by Barangay, 2007
Bottom 10 Barangays MALUNGON M unicipality B a r a ng ay M a g nit ud e P r o p o r t io n 2.7 Glan Cablalan 24 6 4 7.1 Glan Datalb ukay 33 9 4 1.1 Kiamba Katubao 32 4 3 5.1 M alung on B anahaw 111 3 0.1 ALABEL Glan Gumasa 104 28 .4 3.2 MAITUM Kiamba Tab lao 50 20 .5 1.4 Glan Calabanit 118 20 .4 M aasim Lumasal 9 6 14.9 KIAMBA M aitum Kalao ng 6 3 14.0 5.6 MALAPATAN 1.9 M aasim Pananag 21 13.2 MAASIM 3.5
GLAN 6.1
The Many Faces of Poverty (Volume 2) 258 CBMS Poverty Maps: Sarangani
Map 9. Proportion of Households who are Informal Settlers, by Municipality, 2007
MALUNGON Households who are informal settlers 2.0 M unicipality M a g nit ud e Pr o p o r t io n
M alap atan 72 4 5.6 Glan 86 9 5.2 M aasim 22 5 2.5 ALABEL A lab el 250 2.1 2.1 MAITUM M alung on 36 3 2 .0 1.9 M aitum 163 1.9 Kiamba 20 0 1.9 KIAMBA MALAPATAN 1.9 5.6 MAASIM 2.5
GLAN 5.2
Map 10. Proportion of Households who are Informal Settlers, by Barangay, 2007
Bottom 10 Barangays MALUNGON M unicipality B a r ang ay M a g nit ud e P r o p o r t io n 2.0 Glan Gumasa 143 3 9.1 Glan Bato tuling 8 0 2 7.6 Glan Tap on 132 2 6.3 Glan Cro ss 9 3 2 4.5 ALABEL M alapatan Po blacio n 510 17.7 2.1 MAITUM M aasim Kab atio l 9 0 16.9 1.9 Glan Po blacio n 142 16.4 M alungo n Datal Tampal 77 13.3 KIAMBA M aasim Daliao 3 8 11.1 1.9 MALAPATAN 5.6 M aitum Kiayap 2 1 8.4 MAASIM 2.5
GLAN 5.2
The Many Faces of Poverty (Volume 2) 259 CBMS Poverty Maps: Sarangani
Map 11. Proportion of Households without Access to Safe Water Supply, by Municipality, 2007
MALUNGON Households without access to safe 39.0 water supply M unicipality M a g nit ud e Pr o p o r t io n
Glan 7727 4 6.0 M alung on 69 57 3 9.0 M alap atan 39 28 3 0.6 ALABEL 10.9 M aitum 1879 2 2.2 MAITUM M aasim 142 8 16.3 22.2 Kiamba 1753 15.5 KIAMBA A lab el 1235 10.9 15.5 MALAPATAN 30.6 MAASIM 16.3
GLAN 46.0
Map 12. Proportion of Households without Access to Safe Water Supply, by Barangay, 2007
Bottom 10 Barangays MALUNGON M unicipality B a r ang ay M a g nit ud e P r o p o r t io n 39.0 M aitum Tuanadatu 64 0 99 .4 Glan E. A legad o 740 98 .3 Glan Datalb ukay 79 1 95.9 M alung on San Juan 250 90 .3 ALABEL Glan Kaltuad 26 4 88 .3 10.9 A lab el Paraiso 3 11 8 2.1 MAITUM 22.2 M aitum Upo (Lanao) 30 2 79 .1 M alung on Tamb an 94 8 79.0 KIAMBA Glan Lag uimit 6 11 78.4 15.5 MALAPATAN 30.6 Glan Calp id ong 24 0 76.9 MAASIM 16.3
GLAN 46.0
The Many Faces of Poverty (Volume 2) 260 CBMS Poverty Maps: Sarangani
Map 13. Proportion of Households without Access to Sanitary Toilet Facilities, by Barangay, 2007
MALUNGON 26.6 Households without access to sanitary toilet facilities M unicipality M a g nit ud e P r o p o r t io n
M alap atan 66 50 51.5 ALABEL M aasim 43 73 49 .1 25.0 MAITUM Glan 78 45 4 6.6 25.8 Kiamba 36 92 3 2.5 M alung on 4769 2 6.6 KIAMBA MALAPATAN M aitum 22 04 2 5.8 32.5 51.5 MAASIM A lab el 2 951 2 5.0 49.1
GLAN 46.6
Map 14. Proportion of Households without Access to Sanitary Toilet Facilities, by Barangay, 2007
Bottom 10 Barangays MALUNGON M unicipality B ar a ng a y M ag nit ud e P r o p o r t io n 26.6 M aitum Tuanadatu 62 5 97.2 Glan Kaltuad 28 4 95.0 M alap atan Upper Suyan 8 13 94 .3 M aasim Amsipit 713 93 .6 ALABEL M aasim Lumatil 3 71 93 .0 25.0 M alap atan Kinam 1201 92 .2 MAITUM 25.8 Glan Datalb ukay 738 89 .6 A lab el Datal Anggas 54 1 88 .7 KIAMBA M alung on Panamin 26 8 84 .5 MALAPATAN 32.5 51.5 Glan E. A legad o 62 7 83 .3 MAASIM 49.1
GLAN 46.6
The Many Faces of Poverty (Volume 2) 261 Table 2. Housing, Water and Sanitation Indicators, by Barangay, Province of Sarangani, 2007
Municipality B a ra n g a y Households living in Households who are Households without Households without makeshift housing informal settlers access to safe water access to sanitary s u p p l y toilet facilities M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n
ALABEL Alegria 48 4.3 43 3.8 505 45.1 288 25.7 Bagacay 20 3.4 19 3.5 40 6.9 103 17.7 Baluntay 27 4.5 9 1.5 81 34.3 64 10.7 Datal Anggas 0 0.0 1 0.2 25 4.1 541 88.7 Domolok 12 2.6 7 1.6 75 16.1 273 58.8 Kawas 7 0.6 4 0.3 5 0.4 241 19.5 Maribulan 43 4.5 31 3.4 9 1.0 51 5.4 Pag-Asa 51 3.3 20 1.3 145 9.3 783 49.9 Paraiso 1 0.3 3 0.8 311 82.1 239 63.1 Poblacion (Alabel) 73 2.6 77 2.8 20 0.7 184 6.8 Spring 98 12.7 24 3.3 12 1.6 119 15.4 Tokawal 3 0.4 12 1.5 7 0.9 65 8.0
GLAN Baliton 2 0.2 8 0.7 494 44.6 770 69.5 Batotuling 2 0.7 80 27.6 212 73.1 130 44.8 Batulaki 4 1.2 4 1.3 198 60.0 71 21.5 Big Margus 0 0.0 18 2.1 84 10.0 381 45.4 Burias 4 0.6 6 0.8 230 32.3 446 62.6 Cablalan 246 47.1 5 1.0 357 68.4 225 43.1 Calabanit 118 20.4 3 0.5 212 36.6 96 16.6 Calpidong 8 2.6 2 0.6 240 76.9 182 58.3 Congan 5 2.4 8 3.9 125 60.4 137 66.2 Cross 1 0.3 93 24.5 215 56.6 108 28.6 Datalbukay 339 41.1 16 1.9 791 95.9 738 89.6 E. Alegado 0 0.0 3 0.4 740 98.3 627 83.3 Glan Padidu 21 2.7 56 7.4 344 45.0 124 16.0 Gumasa 104 28.4 143 39.1 227 66.6 87 23.8 Ilaya 4 0.5 44 5.7 180 23.4 293 38.1 Kaltuad 7 2.3 2 0.7 264 88.3 284 95.0 Kapatan 3 0.5 0 0.0 112 18.9 159 26.9 Lago 5 1.2 11 2.7 132 33.0 71 17.7 Laguimit 1 0.1 3 0.4 611 78.4 508 65.2 Mudan 53 12.6 4 1.0 143 34.0 263 62.5 New Aklan 0 0.0 6 2.1 80 27.6 161 55.5 Pangyan 32 2.8 55 4.8 761 66.6 645 56.5 Poblacion 31 3.6 142 16.4 44 5.1 86 9.9 Rio Del Pilar 1 0.4 0 0.0 172 65.2 145 54.9 San Jose 2 0.9 1 0.5 13 6.1 106 50.0 San Vicente 0 0.0 0 0.0 269 68.3 147 37.2 Small Margus 1 0.2 6 1.2 138 26.6 247 47.6 Sufatubo 0 0.0 1 0.3 0 0.0 216 54.1 Taluya 23 4.1 15 2.7 75 13.6 204 37.4 Tango 0 0.0 2 0.5 9 2.1 49 11.3 Tapon 14 2.8 132 26.3 255 50.8 139 27.7
KIAMBA Badtasan 11 2.4 0 0.0 88 19.0 98 21.0 Datu Dani 3 0.7 1 0.2 177 43.9 236 58.6 Gasi 7 2.3 0 0.0 56 18.8 211 70.6 Kapate 1 0.3 14 3.7 102 26.6 260 67.9 Katubao 324 35.1 12 1.4 129 14.2 713 77.2 Kayupo 15 2.1 3 0.4 34 4.9 120 17.3 Kling (Lumit) 3 1.7 3 1.7 14 8.5 34 18.9 Lagundi 6 1.4 8 1.9 30 7.0 134 31.5 Lebe 9 6.0 0 0.0 2 1.3 13 8.6 Lomuyon 99 11.7 20 2.4 140 17.1 289 34.0 Luma 0 0.0 0 0.0 13 4.4 9 3.1 Maligang 0 0.0 12 3.5 73 20.7 163 46.4 Nalus 22 2.4 8 0.9 189 20.8 414 45.6 Poblacion 67 2.6 84 4.0 255 9.8 467 18.0 Salakit 2 0.5 3 0.8 74 19.5 52 13.7 Suli 2 0.4 15 2.7 109 19.2 103 18.2 Tablao 50 20.5 14 5.7 21 8.6 63 25.8 Tamadang 0 0.0 0 0.0 90 33.5 74 27.5 Tambilil 12 1.2 3 0.3 157 15.9 239 24.1
MAASIM Amsipit 46 6.0 1 0.1 206 27.1 713 93.6 Bales 1 0.3 1 0.3 95 29.7 155 48.4 Colon 1 0.1 18 1.9 89 9.5 160 17.1 Daliao 8 2.3 38 11.1 72 21.0 194 56.6 Kabatiol 3 0.6 90 16.9 13 2.4 93 17.5 Kablacan 16 1.9 10 1.2 104 12.4 362 43.1
The Many Faces of Poverty (Volume 2) 262 Table 2. Housing, Water and Sanitation Indicators, by Barangay, Province of Sarangani, 2007
Municipality B a ra n g a y Households living in Households who are Households without Households without makeshift housing informal settlers access to safe water access to sanitary s u p p l y toilet facilities M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n M a g ni tu de P r o p or t i o n
MAASIM Kamanga 12 1.7 1 0.1 52 7.2 339 47.7 Kanalo 26 10.6 1 0.4 9 3.7 126 51.6 Lumasal 96 14.9 5 0.8 229 35.4 330 51.1 Lumatil 1 0.3 6 1.5 101 37.5 371 93.0 Malbang 8 1.6 0 0.0 1 0.2 214 41.8 Nomoh 50 10.2 16 3.3 127 26.0 348 71.5 Pananag 21 13.2 5 3.1 43 27.0 104 65.4 Poblacion (Maasim) 4 0.4 8 0.9 0 0.0 88 9.5 Seven Hills 10 6.4 1 0.6 23 14.7 85 54.5 Tinoto 5 0.5 24 2.5 264 28.0 691 73.4
MAITUM Bati-an 0 0.0 1 0.4 154 62.6 73 29.7 Kalaneg 4 1.1 4 1.1 85 24.4 80 22.9 Kalaong 63 14.0 2 0.4 48 10.7 52 11.6 Kiambing 1 0.4 0 0.0 5 2.4 40 15.3 Kiayap 0 0.0 21 8.4 2 0.8 3 1.2 Mabay 2 0.3 19 2.8 147 21.3 35 5.1 Maguling 11 3.0 8 2.2 1 0.3 67 18.2 Malalag (Pob.) 12 1.0 57 5.0 9 0.8 295 25.1 Mindupok 2 0.3 2 0.3 52 7.9 208 31.5 New La Union 3 1.3 6 2.5 29 12.3 64 27.7 Old Poblacion (Maitum) 6 0.7 13 1.5 2 0.2 9 1.0 Pangi (Linao) 0 0.0 2 0.8 71 28.6 6 2.4 Pinol 2 0.5 6 1.4 51 11.7 169 39.5 Sison (Edenton) 0 0.0 9 2.3 116 30.1 2 0.5 Ticulab 1 0.3 0 0.0 133 39.2 166 48.8 Tuanadatu 3 0.5 0 0.0 640 99.4 625 97.2 Upo (Lanao) 2 0.5 2 0.5 302 79.1 195 51.2 Wali (Kambuhan) 6 2.1 6 2.1 30 10.6 41 14.4 Zion 0 0.0 5 1.9 2 0.7 74 27.4
MALAPATAN Daan Suyan 0 0.0 28 3.4 295 36.2 614 75.6 Kihan 1 0.1 3 0.4 365 44.4 304 36.9 Kinam 1 0.1 72 5.5 733 56.3 1201 92.2 Libi 25 5.0 2 0.4 104 20.9 323 65.0 Lun Masla 1 0.1 6 0.8 67 9.1 253 34.2 Lun Padidu 23 1.2 47 2.5 113 6.0 501 26.5 Patag 3 0.8 4 1.1 246 67.0 145 39.9 Poblacion (Malapatan) 182 6.3 510 17.7 534 18.8 1162 40.1 Sapu Masla 9 0.7 17 1.3 429 34.1 779 61.0 Sapu Padidu 5 0.7 32 4.7 196 28.6 132 19.2 Tuyan 0 0.0 3 0.4 222 28.9 423 55.0 Upper Suyan 1 0.1 0 0.0 624 72.4 813 94.3
MALUNGON Alkikan 1 0.3 0 0.0 104 31.6 142 43.2 Ampon 2 0.4 4 0.8 267 55.1 368 75.9 Atlae 0 0.0 0 0.0 23 5.9 38 9.7 Banahaw 111 30.1 1 0.3 77 20.9 123 34.1 Banate 19 2.3 9 1.1 246 29.3 104 12.4 Datal Bila 0 0.0 2 0.8 80 31.7 61 24.2 Datal Tampal 0 0.0 77 13.3 48 8.3 121 20.9 J.P. Laurel 0 0.0 0 0.0 172 30.2 19 3.3 Kawayan 1 0.2 14 3.2 225 52.1 116 26.9 Kibala 2 1.2 3 1.8 6 3.6 10 5.9 Kiblat 13 2.2 3 0.5 124 20.5 71 11.8 Kinabalan 72 12.4 11 1.9 395 68.1 122 22.8 Lower Mainit 0 0.0 3 0.8 262 70.6 122 32.9 Lutay 2 0.3 8 1.2 489 71.8 272 40.0 Malalag Cogon 49 6.4 16 2.1 54 7.0 135 17.6 Malandag 93 3.7 34 1.3 533 22.8 188 7.4 Malungon Gamay 3 0.6 6 1.3 198 39.4 103 23.1 Nagpan 7 1.1 43 6.9 87 13.9 112 17.9 Panamin 0 0.0 9 2.8 157 49.4 268 84.5 Poblacion 11 0.5 92 4.6 524 26.6 394 19.7 San Juan 0 0.0 0 0.0 250 90.3 197 71.1 San Miguel 5 0.7 1 0.1 517 76.4 164 24.2 San Roque 42 5.9 6 0.8 350 49.3 244 34.9 Talus 1 0.2 0 0.0 97 17.8 57 10.5 Tamban 49 4.1 8 0.7 948 79.0 484 40.4 Upper Lumabat 0 0.0 0 0.0 258 61.9 320 76.7 Upper Mainit 10 1.2 13 1.5 466 55.4 414 49.3
The Many Faces of Poverty (Volume 2) 263 CBMS Poverty Maps: Sarangani
Map 15. Proportion of Children 6-12 years old Not Attending Elementary School, by Municipality, 2007
MALUNGON 28.8 Children not attending elementary school (6-12 years old) M unicipality M a g nit ud e P r o p o r t io n
M alapatan 4 698 39 .9 ALABEL Glan 4 96 1 3 6.1 35.3 MAITUM A lab el 3 276 3 5.3 27.8 M aasim 2 352 3 2.5 KIAMBA M alung on 4 298 28 .8 24.7 MALAPATAN M aitum 174 0 2 7.8 39.9 MAASIM Kiamba 2 393 2 4.7 32.5
GLAN 36.1
Map 16. Proportion of Children 6-12 years old Not Attending Elementary School, by Barangay, 2007
Bottom 10 Barangays MALUNGON M unicipality B ar a ng a y M ag nit ud e P r o p o r t io n 28.8 M alap atan Upper Suyan 63 4 72 .6 A lab el Datal Anggas 453 71.9 M alap atan Sap u M asla 6 91 60 .5 M alung on Lutay 3 71 57.0 ALABEL Glan Tap on 23 6 55.3 35.3 Glan Datalb ukay 49 4 54 .5 MAITUM 27.8 Glan Calp id ong 149 52 .3 M aitum Bati-an 81 50 .3 KIAMBA Glan E. A legad o 28 9 4 9.1 24.7 MALAPATAN 39.9 Glan New A klan 163 48 .9 MAASIM 32.5
GLAN 36.1
The Many Faces of Poverty (Volume 2) 264 CBMS Poverty Maps: Sarangani
Map 17. Proportion of Children 13-16 years old Not Attending High School, by Municipality, 2007
MALUNGON 58.2 Children not attending high school (13-16 years old) M unicipality M a g nit ud e P r o p o r t io n
Glan 52 99 6 9.4 ALABEL M alap atan 4 03 4 67.7 59.3 MAITUM M aasim 2 46 9 66 .1 54.9 A lab el 30 11 59.3 KIAMBA M alung on 4 62 2 58.2 54.6 MALAPATAN M aitum 1751 54.9 67.7 MAASIM Kiamba 2 769 54.6 66.1
GLAN 69.4
Map 18. Proportion of Children 13-16 years old Not Attending High School, by Barangay, 2007
Bottom 10 Barangays MALUNGON M unicipality B a r ang a y M a g nit ud e P r o p o r t io n 58.2 A lab el Datal A ng gas 274 98 .6 M alap atan Upper Suyan 371 96 .9 Glan New Aklan 162 95.3 M alung on Up per Lumabat 195 94 .2 ALABEL Glan Datalbukay 418 93 .7 59.3 Glan E. A leg ad o 276 92 .9 MAITUM 54.9 M aitum B ati-an 78 92 .9 M alung on Datal B ila 103 92 .8 KIAMBA 54.6 MALAPATAN M alung on San Juan 130 92 .2 67.7 M alung on Lutay 316 9 1.9 MAASIM 66.1
GLAN 69.4
The Many Faces of Poverty (Volume 2) 265 CBMS Poverty Maps: Sarangni
Map 19. Proportion of Children 6-16 years old Not Attending School, by Municipality, 2007
MALUNGON 22.3 Children not attending school (6-16 years old) M unicipality M ag nit ud e P r o p o r t io n
M alapatan 6152 3 4.7 ALABEL 27.9 M aasim 3 296 3 0.0 MAITUM Glan 5963 2 7.9 21.2 A lab el 4 006 2 7.9 KIAMBA M alung on 5096 2 2.3 MALAPATAN 16.6 34.7 M aitum 2 00 7 21.2 MAASIM Kiamba 2 454 16.6 30.0
GLAN 27.9
Map 20. Proportion of Children 6-16 years old Not Attending School, by Barangay, 2007
MALUNGON 22.3 Bottom 10 Barangays M unicipality B ar a ng a y M ag nit ud e P r o p o r t io n M alap atan Upper Suyan 874 69 .6 ALABEL A lab el Datal Anggas 6 16 67.8 27.9 M alung on Lutay 560 56 .3 MAITUM 21.2 M alap atan Sap u M asla 90 2 54 .6 Glan Datalb ukay 69 3 51.3 KIAMBA M aitum Bati-an 125 51.0 16.6 MALAPATAN 34.7 M alap atan Kinam 93 8 46 .6 MAASIM M aasim Amsipit 48 0 46 .3 30.0 M aitum Tuanadatu 20 3 43 .8 Glan E. A legad o 3 71 4 1.9
GLAN 27.9
The Many Faces of Poverty (Volume 2) 266 Table 3. Education Indicators, by Barangay, Province of Sarangani, 2007
Municipality B a ra n g a y Number of Children not Number of Children not Number of Children not ch ildren a tten d in g ch ildren attending high ch ildren attending school (6-12 years elementary school ( 1 3 - 1 6 s ch oo l (6-16 years (6-16 years old) old) (6-12 years old) years old) (13-16 years old) old) M ag n i tu d e P r o p or t i o n M ag nitude P r o p or t i o n M ag nitude P r o p or t i o n
ALABEL Alegria 854 266 31.1 472 313 66.3 1326 346 26.1 Bagacay 402 110 27.4 252 135 53.6 654 151 23.1 Baluntay 498 138 27.7 265 142 53.6 763 155 20.3 Datal Anggas 630 453 71.9 278 274 98.6 908 616 67.8 Domolok 409 134 32.8 205 151 73.7 614 187 30.5 Kawas 907 311 34.3 535 256 47.9 1442 338 23.4 Maribulan 699 190 27.2 360 157 43.6 1059 187 17.7 Pag-Asa 1369 499 36.4 660 511 77.5 2029 641 31.6 Paraiso 386 174 45.1 200 158 79.0 586 225 38.4 Poblacion (Alabel) 2026 624 30.8 1,212 573 47.3 3238 734 22.7 Spring 628 215 34.2 334 197 59.0 962 269 28.0 Tokawal 486 162 33.3 303 144 47.5 789 157 19.9
GLAN Baliton 700 217 31.0 384 219 57.0 1084 218 20.1 Batotuling 225 64 28.4 132 96 72.7 357 98 27.5 Batulaki 254 104 40.9 154 124 80.5 408 169 41.4 Big Margus 612 167 27.3 424 229 54.0 1036 232 22.4 Burias 591 186 31.5 324 230 71.0 915 251 27.4 Cablalan 361 99 27.4 188 127 67.6 549 145 26.4 Calabanit 453 86 19.0 271 142 52.4 724 112 15.5 Calpidong 285 149 52.3 147 127 86.4 432 173 40.0 Congan 229 66 28.9 96 75 78.1 325 78 24.0 Cross 318 104 32.8 178 141 79.2 496 138 27.9 Datalbukay 906 494 54.5 446 418 93.7 1352 693 51.3 E. Alegado 589 289 49.1 297 276 92.9 886 371 41.9 Glan Padidu 588 175 29.8 362 187 51.7 950 197 20.7 Gumasa 347 86 24.8 180 89 49.4 527 95 18.0 Ilaya 644 307 47.8 354 263 74.3 998 266 26.7 Kaltuad 254 86 33.9 127 111 87.4 381 105 27.6 Kapatan 476 169 35.5 270 195 72.2 746 260 34.9 Lago 298 79 26.5 172 98 57.0 470 115 24.5 Laguimit 530 100 18.9 306 220 71.9 836 133 15.9 Mudan 393 165 42.0 218 174 79.8 611 170 27.8 New Aklan 333 163 48.9 170 162 95.3 503 193 38.4 Pangyan 1007 381 37.8 559 381 68.3 1566 438 28.0 Poblacion 622 261 42.0 389 197 50.6 1011 195 19.3 Rio Del Pilar 265 110 41.5 130 106 81.5 395 135 34.2 San Jose 203 78 38.4 127 107 84.3 330 127 38.5 San Vicente 303 74 24.4 173 89 51.4 476 89 18.7 Small Margus 429 122 28.4 232 138 59.5 661 130 19.7 Sufatubo 275 67 24.4 162 122 75.3 437 100 22.9 Taluya 509 186 36.5 243 179 73.7 752 196 26.1 Tango 324 91 28.1 197 96 48.7 521 116 22.3 Tapon 427 236 55.3 222 181 81.9 649 225 34.7
KIAMBA Badtasan 385 98 25.5 206 119 57.8 591 73 12.4 Datu Dani 410 94 22.9 212 122 57.5 622 112 18.0 Gasi 334 93 27.8 160 121 75.6 494 72 14.6 Kapate 322 89 27.6 178 137 77.0 500 112 22.4 Katubao 970 224 23.1 463 322 69.5 1433 313 21.8 Kayupo 572 145 25.3 342 158 46.2 914 132 14.4 Kling (Lumit) 157 32 20.4 69 35 50.7 226 22 9.7 Lagundi 337 72 21.4 190 69 36.3 527 67 12.7 Lebe 98 22 22.4 63 29 46.0 161 25 15.5 Lomuyon 759 174 22.9 385 210 54.5 1144 173 15.1 Luma 230 39 17.0 127 54 42.5 357 44 12.3 Maligang 398 109 27.4 177 145 81.9 575 99 17.2 Nalus 785 206 26.2 350 193 55.1 1135 212 18.7 Poblacion 1888 410 21.7 1071 419 39.2 2959 359 12.1 Salakit 315 74 23.5 180 89 49.4 495 73 14.7 Suli 350 96 27.4 200 99 49.5 550 99 18.0 Tablao 201 61 30.3 104 72 69.2 305 79 25.9 Tamadang 271 84 31.0 117 78 66.7 388 69 17.8 Tambilil 920 271 29.5 481 298 62.0 1401 319 22.8
MAASIM Amsipit 716 333 46.5 320 281 87.8 1036 480 46.3 Bales 229 56 24.5 132 81 61.4 361 92 25.5 Colon 722 198 27.4 368 204 55.6 1090 281 25.8 Daliao 296 99 33.4 120 96 80.0 416 127 30.5 Kabatiol 372 116 31.2 197 128 65.0 569 174 30.6 Kablacan 684 248 36.3 394 261 66.2 1078 381 35.3
The Many Faces of Poverty (Volume 2) 267 Table 3. Education Indicators, by Barangay, Province of Sarangani, 2007
Municipality B a ra n g a y Number of Children not Number of Children not Number of Children not ch ildren a tten d in g ch ildren attending high ch ildren attending school (6-12 years elementary school ( 1 3 - 1 6 s ch oo l (6-16 years (6-16 years old) old) (6-12 years old) years old) (13-16 years old) old) M ag n i tu d e P r o p or t i o n M ag nitude P r o p or t i o n M ag nitude P r o p or t i o n
MAASIM Kamanga 547 133 24.3 280 191 68.2 827 213 25.8 Kanalo 207 60 29.0 118 94 79.7 325 80 24.6 Lumasal 554 183 33.0 267 184 68.9 821 239 29.1 Lumatil 401 167 41.6 193 139 72.0 594 228 38.4 Malbang 348 72 20.7 216 93 43.1 564 97 17.2 Nomoh 495 218 44.0 207 173 83.6 702 277 39.5 Pananag 108 39 36.1 60 44 73.3 168 50 29.8 Poblacion (Maasim) 583 135 23.2 387 185 47.8 970 189 19.5 Seven Hills 124 36 29.0 60 33 55.9 184 36 19.7 Tinoto 860 259 30.2 421 282 67.0 1281 352 27.5
MAITUM Bati-an 162 81 50.3 84 78 92.9 246 125 51.0 Kalaneg 281 53 18.9 152 94 61.8 433 71 16.4 Kalaong 353 49 13.9 194 89 45.9 547 68 12.4 Kiambing 139 34 24.5 80 47 58.8 219 55 25.1 Kiayap 184 46 25.0 104 42 40.4 288 34 11.8 Mabay 434 104 24.0 243 92 37.9 677 84 12.4 Maguling 352 82 23.3 172 73 42.4 524 73 13.9 Malalag (Pob.) 631 177 28.1 355 145 40.8 986 166 16.8 Mindupok 610 119 19.5 300 156 52.0 910 135 14.8 New La Union 226 74 32.7 114 91 79.8 340 104 30.6 Old Poblacion (Maitum) 583 138 23.7 302 115 38.1 885 111 12.5 Pangi (Linao) 158 25 15.8 72 21 29.2 230 18 7.8 Pinol 422 137 32.5 191 123 64.4 613 165 26.9 Sison (Edenton) 247 42 17.0 152 90 59.2 399 64 16.0 Ticulab 304 132 43.4 150 114 76.0 454 174 38.3 Tuanadatu 312 138 44.2 151 124 82.1 463 203 43.8 Upo (Lanao) 386 182 47.3 146 120 82.2 532 205 38.6 Wali (Kambuhan) 261 71 27.2 119 61 51.3 380 68 17.9 Zion 218 56 25.7 108 76 70.4 326 84 25.8
MALAPATAN Daan Suyan 752 344 45.7 415 366 88.2 1167 455 39.0 Kihan 788 266 33.8 384 337 87.8 1172 436 37.2 Kinam 1351 653 48.3 661 578 87.4 2012 938 46.6 Libi 458 162 35.4 218 149 68.3 676 210 31.1 Lun Masla 612 166 27.1 311 157 50.5 923 177 19.2 Lun Padidu 1627 449 27.6 871 412 47.3 2498 541 21.7 Patag 328 103 31.4 186 106 57.0 514 104 20.2 Poblacion (Malapatan) 2452 851 34.7 1345 836 62.2 3797 1111 29.3 Sapu Masla 1144 691 60.5 510 404 79.2 1654 902 54.6 Sapu Padidu 590 123 20.8 316 119 37.7 906 119 13.1 Tuyan 803 256 31.9 360 199 55.3 1163 285 24.5 Upper Suyan 873 634 72.6 383 371 96.9 1256 874 69.6
MALUNGON Alkikan 227 61 26.9 130 94 72.3 357 83 23.2 Ampon 429 101 23.5 227 125 55.1 656 139 21.2 Atlae 260 53 20.5 131 59 45.0 391 56 14.4 Banahaw 331 78 23.6 145 79 54.5 476 76 16.0 Banate 635 151 23.8 356 174 48.9 991 181 18.3 Datal Bila 251 120 47.8 111 103 92.8 362 123 34.0 Datal Tampal 478 134 28.0 260 161 62.2 738 155 21.0 J.P. Laurel 501 109 21.8 267 172 64.4 768 179 23.3 Kawayan 386 87 22.5 205 118 57.6 591 93 15.7 Kibala 134 32 23.9 64 37 57.8 198 38 19.2 Kiblat 432 111 25.8 218 94 43.1 650 97 14.9 Kinabalan 546 133 24.4 266 182 68.4 812 203 25.0 Lower Mainit 303 85 28.1 179 94 52.5 482 94 19.5 Lutay 651 371 57.0 344 316 91.9 995 560 56.3 Malalag Cogon 570 155 27.2 390 157 40.3 960 176 18.3 Malandag 1952 444 22.7 1009 417 41.3 2961 378 12.8 Malungon Gamay 408 110 27.0 233 131 56.2 641 133 20.7 Nagpan 521 111 21.3 311 164 52.7 832 168 20.2 Panamin 334 134 40.1 196 175 89.3 530 187 35.3 Poblacion 1481 399 26.9 889 403 45.3 2370 405 17.1 San Juan 261 123 47.1 141 130 92.2 402 143 35.6 San Miguel 627 120 19.1 171 101 59.1 798 113 14.2 San Roque 531 148 28.0 321 187 58.3 852 178 20.9 Talus 358 99 27.7 192 108 56.3 550 108 19.6 Tamban 1199 385 32.1 562 410 73.0 1761 524 29.8 Upper Lumabat 423 201 47.6 207 195 94.2 630 213 33.9 Upper Mainit 688 243 35.3 412 236 57.3 1100 293 26.6
The Many Faces of Poverty (Volume 2) 268 CBMS Poverty Maps: Sarangani
Map 21. Proportion of Households with Income Below the Poverty Threshold, by Municipality, 2007
MALUNGON 61.0 Household with income below poverty t hr es ho ld M unicipality M a g nit ud e P r o p o r t io n
M alapatan 10133 78 .3 ALABEL A lab el 80 94 6 7.9 67.9 MAITUM M alung on 11038 6 1.0 60.5 M aitum 5193 6 0.5 KIAMBA Kiamba 6 785 59 .5 MALAPATAN Glan 10022 59 .4 59.5 78.3 MAASIM M aasim 529 2 59.1 59.1
GLAN 59.4
Map 22. Proportion of Households with Income Below the Poverty Threshold, by Barangay, 2007
Bottom 10 Barangays MALUNGON M unicipality B ar a ng ay M a g nit ud e P r o p o r t io n 61.0 M aitum B ati-an 24 5 99 .6 M alung on San Juan 276 99 .3 A lab el Datal Anggas 63 8 96 .2 M alap atan Upper Suyan 82 8 9 6.1 ALABEL M alung on Panamin 30 0 94 .0 MAITUM 67.9 Kiamba Gasi 277 92 .6 60.5 A lab el Paraiso 351 92 .4 M alap atan Kinam 1,192 9 1.6 KIAMBA Glan E. A legad o 68 0 90 .3 59.5 MALAPATAN 78.3 M alung on Datal Bila 22 5 88 .2 MAASIM 59.1
GLAN 59.4
The Many Faces of Poverty (Volume 2) 269 CBMS Poverty Maps: Sarangani
Map 23. Proportion of Households with Income Below the Food Threshold, by Municipality, 2007
MALUNGON 47.2 Households with income below food t hr e sho ld M unicipality M ag nit ud e P r o p o r t io n
M alapatan 8 662 6 6.9 ALABEL A lab el 6 648 55.8 55.8 MAITUM M alung on 8 549 4 7.2 46.7 M aitum 4 002 4 6.7 KIAMBA Kiamba 5099 4 4.7 44.7 MALAPATAN Glan 7304 4 3.3 66.9 MAASIM M aasim 3 812 4 2.6 42.6
GLAN 43.3
Map 24. Proportion of Households with Income Below the Food Threshold, by Barangay, 2007
Bottom 10 Barangays MALUNGON M unicipality B ar a ng ay M a g nit ud e P r o p o r t io n 47.2 M alung on San Juan 275 98 .9 M aitum B ati-an 24 3 98 .8 A lab el Datal Anggas 612 92 .3 M alap atan Upper Suyan 79 5 92 .2 ALABEL M alung on Panamin 28 6 89 .7 55.8 Kiamba Gasi 26 4 88 .3 MAITUM 46.7 A lab el Paraiso 32 9 86 .6 M alap atan Kinam 1,123 86 .3 KIAMBA Glan E. A legad o 62 6 8 3.1 44.7 MALAPATAN 66.9 M alung on Datal Bila 20 1 78.8 MAASIM 42.6
GLAN 43.3
The Many Faces of Poverty (Volume 2) 270 CBMS Poverty Maps: Sarangani
Map 25. Proportion of Households who Experienced Food Shortage, by Municipality, 2007
MALUNGON 7.7 Households who experienced food s ho r t ag e M unicipality M ag nit ud e P r o p o r t io n
M aitum 1108 12.9 ALABEL 0.1 M alung on 1396 7.7 MAITUM M alapatan 2 89 2.2 12.9 Kiamba 175 1.5 KIAMBA Glan 76 0 .5 1.5 MALAPATAN M aasim 21 0.2 2.2 MAASIM A lab el 8 0 .1 0.2
GLAN 0.5
Map 26. Proportion of Households who Experienced Food Shortage, by Barangay, 2007
Bottom 10 Barangays MALUNGON M unicipality B a r ang a y M ag nit ud e P r o p o r t io n 7.7 M aitum B ati-an 2 18 88 .6 M alung on Upp er Lumabat 29 4 70 .5 M aitum Upo (Lanao) 23 3 6 1.0 M alung on San Juan 149 53 .8 M aitum Zio n 130 4 8.1 ALABEL 0.1 M alung on A mpo n 185 38 .2 MAITUM M aitum Tuanad atu 2 19 34 .0 12.9 M aitum Ticulab 101 29 .7 KIAMBA M alap atan Kihan 198 24 .0 1.5 MALAPATAN 2.2 M alung on Kib lat 133 22 .0 MAASIM 0.2
GLAN 0.5
The Many Faces of Poverty (Volume 2) 271 Table 4. Income Indicators, by Barangay, Province of Sarangani, 2007
Municipality Barangay Households with income below the Households with income below Households who experienced poverty threshold the food threshold food shortage M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n
ALABEL Alegria 926 82.5 827 73.7 2 0.2 Bagacay 347 59.5 262 44.9 0 0.0 Baluntay 249 41.2 147 24.3 0 0.0 Datal Anggas 638 96.2 612 92.3 0 0.0 Domolok 385 82.8 335 72.0 0 0.0 Kawas 591 47.6 433 34.9 0 0.0 Maribulan 475 50.2 348 36.7 0 0.0 Pag-Asa 1312 83.6 1200 76.5 0 0.0 Paraiso 351 92.4 329 86.6 5 1.3 Poblacion (Alabel) 1809 65.5 1349 48.9 0 0.0 Spring 503 65.0 404 52.2 1 0.1 Tokawal 508 62.4 402 49.4 0 0.0
GLAN Baliton 466 42.0 299 27.0 0 0.0 Batotuling 151 51.7 110 37.7 0 0.0 Batulaki 261 78.4 210 63.1 0 0.0 Big Margus 370 43.8 156 18.5 0 0.0 Burias 539 75.5 448 62.7 0 0.0 Cablalan 392 74.4 328 62.2 1 0.2 Calabanit 360 62.2 257 44.4 0 0.0 Calpidong 190 60.9 118 37.8 0 0.0 Congan 111 53.1 77 36.8 0 0.0 Cross 83 21.7 33 8.6 30 7.9 Datalbukay 485 58.8 319 38.7 0 0.0 E. Alegado 680 90.3 626 83.1 2 0.3 Glan Padidu 447 57.6 323 41.6 2 0.3 Gumasa 276 75.4 197 53.8 38 10.4 Ilaya 461 59.7 338 43.8 0 0.0 Kaltuad 177 59.0 112 37.3 0 0.0 Kapatan 331 55.9 228 38.5 0 0.0 Lago 260 64.8 202 50.4 0 0.0 Laguimit 223 28.6 130 16.7 0 0.0 Mudan 318 75.5 254 60.3 0 0.0 New Aklan 227 78.3 194 66.9 0 0.0 Pangyan 808 70.6 651 56.9 0 0.0 Poblacion 514 59.0 368 42.3 1 0.1 Rio Del Pilar 152 57.4 119 44.9 0 0.0 San Jose 93 43.9 58 27.4 0 0.0 San Vicente 263 66.6 212 53.7 2 0.5 Small Margus 311 59.9 196 37.8 0 0.0 Sufatubo 176 44.0 87 21.8 0 0.0 Taluya 338 60.6 231 41.4 0 0.0 Tango 246 56.9 180 41.7 0 0.0 Tapon 313 62.1 243 48.2 0 0.0
KIAMBA Badtasan 371 79.3 322 68.8 0 0.0 Datu Dani 231 57.3 170 42.2 1 0.2 Gasi 277 92.6 264 88.3 2 0.7 Kapate 322 84.1 268 70.0 13 3.4 Katubao 691 74.9 561 60.8 47 5.1 Kayupo 286 40.9 184 26.3 0 0.0 Kling (Lumit) 83 46.1 47 26.1 0 0.0 Lagundi 216 50.2 159 37.0 19 4.4 Lebe 64 42.4 42 27.8 4 2.6 Lomuyon 599 70.5 489 57.5 8 0.9 Luma 216 73.2 167 56.6 0 0.0 Maligang 279 79.3 229 65.1 0 0.0 Nalus 545 59.8 398 43.7 6 0.7 Poblacion 1144 44.0 704 27.1 47 1.8 Salakit 235 61.8 190 50.0 0 0.0 Suli 309 54.3 184 32.3 4 0.7 Tablao 50 20.5 16 6.6 4 1.6 Tamadang 217 80.7 189 70.3 2 0.7 Tambilil 650 65.4 516 51.9 18 1.8
MAASIM Amsipit 630 82.6 499 65.4 1 0.1 Bales 241 75.3 202 63.1 10 3.1 Colon 572 61.0 380 40.5 0 0.0 Daliao 261 75.9 207 60.2 0 0.0 Kabatiol 278 52.0 204 38.1 0 0.0 Kablacan 441 52.4 292 34.7 0 0.0
The Many Faces of Poverty (Volume 2) 272 Table 4. Income Indicators, by Barangay, Province of Sarangani, 2007
Municipality B a ra n g a y Households with income Households with income Households who experienced below the poverty threshold below the food threshold food shortage M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n
MAASIM Kamanga 338 46.5 218 30.0 0 0.0 Kanalo 188 75.5 162 65.1 1 0.4 Lumasal 382 59.1 266 41.2 2 0.3 Lumatil 178 44.5 130 32.5 1 0.3 Malbang 250 48.8 147 28.7 1 0.2 Nomoh 416 85.2 368 75.4 3 0.6 Pananag 89 56.0 73 45.9 1 0.6 Poblacion (Maasim) 341 36.8 179 19.3 0 0.0 Seven Hills 86 54.8 65 41.4 1 0.6 Tinoto 601 63.5 420 44.4 0 0.0
MAITUM Bati-an 245 99.6 243 98.8 218 88.6 Kalaneg 281 80.3 237 67.7 71 20.3 Kalaong 278 61.8 167 37.1 1 0.2 Kiambing 204 77.0 178 67.2 55 20.8 Kiayap 188 74.9 160 63.7 6 2.4 Mabay 397 57.5 285 41.3 37 5.4 Maguling 200 54.3 152 41.3 0 0.0 Malalag (Pob.) 363 30.9 219 18.7 1 0.1 Mindupok 347 52.4 251 37.9 19 2.9 New La Union 192 81.0 171 72.2 0 0.0 Old Poblacion (Maitum) 521 58.5 364 40.9 4 0.4 Pangi (Linao) 108 43.5 82 33.1 3 1.2 Pinol 358 81.7 298 68.0 10 2.3 Sison (Edenton) 209 54.0 164 42.4 0 0.0 Ticulab 214 62.9 157 46.2 101 29.7 Tuanadatu 456 70.8 381 59.2 219 34.0 Upo (Lanao) 305 79.4 259 67.4 233 61.0 Wali (Kambuhan) 197 69.4 159 56.0 0 0.0 Zion 130 48.1 75 27.8 130 48.1
MALAPATAN Daan Suyan 675 82.6 558 68.3 1 0.1 Kihan 723 87.2 627 75.6 198 24.0 Kinam 1192 91.6 1123 86.3 0 0.0 Libi 427 85.9 371 74.6 1 0.2 Lun Masla 518 69.9 424 57.2 2 0.3 Lun Padidu 1079 57.1 785 41.5 28 1.5 Patag 314 84.0 277 74.1 0 0.0 Poblacion (Malapatan) 2349 81.0 2024 69.8 11 0.4 Sapu Masla 1072 83.8 936 73.2 21 1.6 Sapu Padidu 419 60.8 335 48.6 20 2.9 Tuyan 537 69.7 407 52.9 7 0.9 Upper Suyan 828 96.1 795 92.2 0 0.0
MALUNGON Alkikan 260 79.0 185 56.2 27 8.2 Ampon 269 55.2 179 36.8 185 38.2 Atlae 189 48.3 139 35.5 36 9.2 Banahaw 284 76.8 236 63.8 1 0.3 Banate 397 47.1 280 33.3 2 0.2 Datal Bila 225 88.2 201 78.8 0 0.0 Datal Tampal 389 67.3 336 58.1 22 3.8 J.P. Laurel 453 79.3 409 71.6 0 0.0 Kawayan 366 84.7 315 72.9 0 0.0 Kibala 114 67.5 83 49.1 26 15.4 Kiblat 221 36.6 161 26.7 133 22.0 Kinabalan 234 40.3 135 23.2 1 0.2 Lower Mainit 222 59.8 171 46.1 9 2.4 Lutay 546 80.2 450 66.1 1 0.1 Malalag Cogon 399 51.9 305 39.7 2 0.3 Malandag 892 35.1 584 23.0 21 0.8 Malungon Gamay 315 62.5 235 46.6 51 10.1 Nagpan 197 31.4 88 14.0 56 8.9 Panamin 300 94.0 286 89.7 0 0.0 Poblacion 1383 69.0 1163 58.0 170 8.5 San Juan 276 99.3 275 98.9 149 53.8 San Miguel 528 77.9 351 51.8 0 0.0 San Roque 475 66.8 373 52.5 35 4.9 Talus 360 65.9 279 51.1 0 0.0 Tamban 1023 85.3 864 72.0 175 14.6 Upper Lumabat 269 64.5 197 47.2 294 70.5 Upper Mainit 452 53.7 269 32.0 0 0.0
The Many Faces of Poverty (Volume 2) 273 CBMS Poverty Maps: Sarangani
Map 27. Unemployment Rate (15 years old and above), by Municipality, 2007
MALUNGON 1.0
Unemployement rate (15 years old and above) M unicipality M a g nit ud e Pr o p o r t io n ALABEL 0.9 Glan 432 2.0 MAITUM M aasim 196 1.6 1.4 M aitum 154 1.4 KIAMBA Kiamba 208 1.2 1.2 MALAPATAN M alung on 264 1.0 0.1 MAASIM A lab el 137 0.9 1.6 M alap atan 16 0 .1
GLAN 2.0
Map 28. Unemployment Rate (15 years old and above), by Barangay, 2007
Bottom 10 Barangays MALUNGON M unicipality B a r ang ay M a g nit ud e P r o p o r t io n 1.0 Glan Taluya 58 7.3 Glan Gumasa 3 9 6.3 M aasim Pananag 10 6.0 Kiamba Nalus 76 5.9 ALABEL Kiamba Kling (Lumit) 15 5.6 0.9 M aasim Kanalo 18 5.3 MAITUM 1.4 Glan Balito n 56 4.3 M aitum Pang i (Linao) 17 4.3 KIAMBA Glan Calab anit 2 9 4.2 1.2 MALAPATAN 0.1 M aitum Zion 14 4.1 MAASIM 1.6
GLAN 2.0
The Many Faces of Poverty (Volume 2) 274 CBMS Poverty Maps: Sarangani
Map 29. Proportion of Persons who are Victims of Crime, by Municipality, 2007
MALUNGON 0.2
Persons who are victims of crime
M unicipality M ag nit ud e P r o p o r t io n ALABEL M alung on 182 0 .2 0.1 MAITUM Glan 154 0 .2 0.2 M aitum 63 0 .2 Kiamba 42 0.1 KIAMBA 0.1 MALAPATAN M aasim 29 0.1 0.0 A lab el 36 0.1 MAASIM 0.1 M alap atan 10 0 .0
GLAN 0.2
Map 30. Proportion of Persons who are Victims of Crime, by Barangay, 2007
Bottom 12 Barangays MALUNGON 0.2 M unicipality B a r ang ay M a g nit ud e P r o p o r t io n M aasim Seven Hills 12 1.8 M alungo n Kiblat 3 8 1.6 M alungo n Tamban 8 2 1.5 Glan Ilaya 4 6 1.3 ALABEL Glan Tap on 16 0.7 0.1 MAITUM M aitum Kiamb ing 7 0.7 0.2 Glan Glan Pad id u 2 2 0.6 Glan Po blacio n 2 4 0.6 KIAMBA 0.1 MALAPATAN M aitum Pang i (Linao) 6 0.6 0.0 Kiamba Lomuyo n 2 0 0.5 MAASIM 0.1 Glan Taluya 12 0.5
GLAN 0.2
The Many Faces of Poverty (Volume 2) 275 Table 5. Unemployment and Victims of Crime Indicators, by Barangay, Province of Sarangani, 2007
Municipality B a ra n g a y Number of persons in Unemployment rate Persons who are victims of the labor force (15 years old and above) crim es (15 years old and a b ov e ) M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n
ALABEL Alegria 1282 6 0.5 2 0.0 Bagacay 873 11 1.3 0 0.0 Baluntay 875 8 0.9 4 0.1 Datal Anggas 603 1 0.2 0 0.0 Domolok 496 7 1.4 0 0.0 Kawas 1555 12 0.8 0 0.0 Maribulan 1310 0 0.0 0 0.0 Pag-Asa 1935 4 0.2 4 0.1 Paraiso 420 0 0.0 0 0.0 Poblacion (Alabel) 3706 66 1.8 19 0.1 Spring 1035 15 1.4 5 0.1 Tokawal 967 7 0.7 2 0.1 GLAN Baliton 1307 56 4.3 0 0.0 Batotuling 383 1 0.3 0 0.0 Batulaki 374 7 1.9 0 0.0 Big Margus 999 18 1.8 0 0.0 Burias 936 23 2.5 0 0.0 Cablalan 580 3 0.5 0 0.0 Calabanit 697 29 4.2 4 0.2 Calpidong 402 16 4.0 2 0.1 Congan 417 0 0.0 0 0.0 Cross 622 6 1.0 2 0.1 Datalbukay 942 2 0.2 5 0.1 E. Alegado 954 1 0.1 13 0.4 Glan Padidu 1050 20 1.9 22 0.6 Gumasa 617 39 6.3 0 0.0 Ilaya 1146 4 0.3 46 1.3 Kaltuad 395 0 0.0 0 0.0 Kapatan 676 0 0.0 2 0.1 Lago 473 10 2.1 0 0.0 Laguimit 905 7 0.8 2 0.1 Mudan 620 3 0.5 0 0.0 New Aklan 211 5 2.4 0 0.0 Pangyan 1345 24 1.8 1 0.0 Poblacion 1087 27 2.5 24 0.6 Rio Del Pilar 545 2 0.4 0 0.0 San Jose 311 10 3.2 3 0.3 San Vicente 477 7 1.5 0 0.0 Small Margus 613 15 2.4 0 0.0 Sufatubo 451 4 0.9 0 0.0 Taluya 797 58 7.3 12 0.5 Tango 688 13 1.9 0 0.0 Tapon 620 22 3.5 16 0.7
KIAMBA Badtasan 692 10 1.4 0 0.0 Datu Dani 676 2 0.3 1 0.0 Gasi 445 1 0.2 0 0.0 Kapate 495 2 0.4 0 0.0 Katubao 1172 35 3.0 0 0.0 Kayupo 1179 13 1.1 0 0.0 Kling (Lumit) 267 15 5.6 1 0.1 Lagundi 487 4 0.8 1 0.1 Lebe 223 9 4.0 2 0.3 Lomuyon 1296 6 0.5 20 0.5 Luma 509 0 0.0 1 0.1 Maligang 465 0 0.0 0 0.0 Nalus 1289 76 5.9 2 0.0 Poblacion 4377 12 0.3 2 0.0 Salakit 631 3 0.5 3 0.2 Suli 862 2 0.2 2 0.1 Tablao 382 0 0.0 4 0.4 Tamadang 458 5 1.1 0 0.0 Tambilil 1677 13 0.8 3 0.1
MAASIM Amsipit 983 0 0.0 0 0.0 Bales 430 7 1.6 1 0.1 Colon 1370 44 3.2 0 0.0 Daliao 478 2 0.4 0 0.0 Kabatiol 753 15 2.0 0 0.0 Kablacan 1260 5 0.4 0 0.0
The Many Faces of Poverty (Volume 2) 276 Table 5. Unemployment and Victims of Crime Indicators, by Barangay, Province of Sarangani, 2007
Municipality Barangay Number of persons in Unemployment rate Persons who are victims of the labor force (15 years old and above) crim es (15 years old and a b ov e ) M ag n i tu d e P r o p or t i o n M ag n i tu d e P r o p or t i o n
MAASIM Kamanga 1036 2 0.2 8 0.3 Kanalo 342 18 5.3 0 0.0 Lumasal 728 13 1.8 0 0.0 Lumatil 425 12 2.8 0 0.0 Malbang 774 2 0.3 3 0.1 Nomoh 516 0 0.0 0 0.0 Pananag 166 10 6.0 3 0.4 Poblacion (Maasim) 1428 19 1.3 1 0.0 Seven Hills 269 0 0.0 12 1.8 Tinoto 1379 47 3.4 1 0.0
MAITUM Bati-an 278 0 0.0 0 0.0 Kalaneg 472 0 0.0 1 0.1 Kalaong 614 10 1.6 2 0.1 Kiambing 330 4 1.2 7 0.7 Kiayap 372 2 0.5 0 0.0 Mabay 1054 27 2.6 12 0.4 Maguling 408 12 2.9 1 0.1 Malalag (Pob.) 1689 14 0.8 12 0.3 Mindupok 913 3 0.3 13 0.4 New La Union 283 0 0.0 0 0.0 Old Poblacion (Maitum) 1293 22 1.7 3 0.1 Pangi (Linao) 399 17 4.3 6 0.6 Pinol 556 8 1.4 0 0.0 Sison (Edenton) 489 5 1.0 6 0.4 Ticulab 430 1 0.2 0 0.0 Tuanadatu 674 15 2.2 0 0.0 Upo (Lanao) 421 0 0.0 0 0.0 Wali (Kambuhan) 351 0 0.0 0 0.0 Zion 339 14 4.1 0 0.0
MALAPATAN Daan Suyan 1220 0 0.0 4 0.1 Kihan 975 2 0.2 0 0.0 Kinam 1296 7 0.5 0 0.0 Libi 605 2 0.3 0 0.0 Lun Masla 833 2 0.2 1 0.0 Lun Padidu 2397 1 0.0 1 0.0 Patag 509 1 0.2 0 0.0 Poblacion (Malapatan) 3853 1 0.0 3 0.0 Sapu Masla 1439 0 0.0 1 0.0 Sapu Padidu 955 0 0.0 0 0.0 Tuyan 852 0 0.0 0 0.0 Upper Suyan 899 0 0.0 0 0.0
MALUNGON Alkikan 465 2 0.4 0 0.0 Ampon 781 7 0.9 1 0.0 Atlae 546 15 2.7 2 0.1 Banahaw 413 7 1.7 1 0.1 Banate 1341 0 0.0 12 0.3 Datal Bila 398 2 0.5 0 0.0 Datal Tampal 753 9 1.2 0 0.0 J.P. Laurel 938 12 1.3 0 0.0 Kawayan 587 2 0.3 2 0.1 Kibala 214 1 0.5 0 0.0 Kiblat 873 27 3.1 38 1.6 Kinabalan 1041 2 0.2 0 0.0 Lower Mainit 559 11 2.0 5 0.3 Lutay 921 0 0.0 0 0.0 Malalag Cogon 1168 22 1.9 2 0.1 Malandag 3500 83 2.4 2 0.0 Malungon Gamay 699 4 0.6 4 0.2 Nagpan 1021 6 0.6 4 0.1 Panamin 552 3 0.5 0 0.0 Poblacion 2685 25 0.9 16 0.2 San Juan 301 4 1.3 0 0.0 San Miguel 760 3 0.4 0 0.0 San Roque 996 0 0.0 0 0.0 Talus 609 2 0.3 0 0.0 Tamban 1814 15 0.8 82 1.5 Upper Lumabat 564 0 0.0 8 0.4 Upper Mainit 1353 0 0.0 3 0.1 The Many Faces of Poverty (Volume 2) 277 CBMS Poverty Maps: Sarangani
Map 31. CBMS Composite Indicator, by Municipality, 2007
MALUNGON 2.1
C B M S M unicipality C o mp o s it e Ind ic at o r ALABEL M alapatan 2 .7 1.9 Glan 2.4 MAITUM 1.9 M alungo n 2 .1 M aasim 2.0 KIAMBA M aitum 1.9 1.8 MALAPATAN 2.7 A lab el 1.9 MAASIM Kiamba 1.8 2.0
GLAN 2.4
Map 32. CBMS Composite Indicator, by Barangay, 2007
C B M S B o t t o m 11 M unicipality C o mp o si t e MALUNGON B a r ang ay s 2.1 I nd ic at o r M alung on San Juan 4 .4 M ait um B at i-an 4 .3 M alap at an Upper Suyan 4 .0 Glan E. A leg ado 3 .9 M ait um Tuanad at u 3 .8 ALABEL Glan Dat albukay 3 .8 1.9 MAITUM M alap at an Kinam 3 .7 1.9 M ait um Upo (Lanao ) 3 .7 A lab el Paraiso 3 .6 KIAMBA M alung on Panamin 3 .6 1.8 MALAPATAN M alung on Upp er Lumabat 3 .6 2.7 MAASIM 2.0
GLAN 2.4
The Many Faces of Poverty (Volume 2) 278 Table 6. CBMS Composite Indicator, by Barangay, Province of Sarangani, 2007
Municipality B a ra n g a y CBMS Composite Municipality B a ra n g a y CBMS Composite Indicator Indicator
ALABEL Alegria 2.6 MAASIM Kamanga 1.6 Bagacay 1.6 Kanalo 2.3 Baluntay 1.2 Lumasal 2.3 Datal Anggas 3.3 Lumatil 2.3 Domolok 2.6 Malbang 1.4 Kawas 1.2 Nomoh 3.1 Maribulan 1.2 Pananag 2.4 Pag-Asa 2.5 Poblacion (Maasim) 0.9 Paraiso 3.6 Seven Hills 2.0 Poblacion (Alabel) 1.5 Tinoto 2.4 Spring 1.8 Tokawal 1.4 MAITUM Bati-an 4.3 Kalaneg 2.4 GLAN Baliton 2.1 Kalaong 1.5 Batotuling 2.7 Kiambing 2.0 Batulaki 2.6 Kiayap 1.6 Big Margus 1.5 Mabay 1.5 Burias 2.6 Maguling 1.4 Cablalan 3.2 Malalag (Pob.) 0.9 Calabanit 2.0 Mindupok 1.5 Calpidong 2.8 New La Union 2.2 Congan 2.4 Old Poblacion (Maitum) 1.2 Cross 1.8 Pangi (Linao) 1.3 Datalbukay 3.8 Pinol 2.3 E. Alegado 3.9 Sison (Edenton) 1.5 Glan Padidu 2.0 Ticulab 2.6 Gumasa 3.2 Tuanadatu 3.8 Ilaya 2.0 Upo (Lanao) 3.7 Kaltuad 3.1 Wali (Kambuhan) 1.7 Kapatan 1.7 Zion 1.8 Lago 1.9 Laguimit 2.1 MALAPATAN Daan Suyan 3.0 Mudan 2.7 Kihan 3.0 New Aklan 2.7 Kinam 3.7 Pangyan 2.9 Libi 2.8 Poblacion 1.6 Lun Masla 1.9 Rio Del Pilar 2.6 Lun Padidu 1.6 San Jose 1.7 Patag 2.9 San Vicente 2.5 Poblacion (Malapatan) 2.6 Small Margus 2.1 Sapu Masla 2.9 Sufatubo 1.5 Sapu Padidu 1.8 Taluya 2.0 Tuyan 2.3 Tango 1.3 Upper Suyan 4.0 Tapon 2.5 MALUNGON Alkikan 2.4 KIAMBA Badtasan 2.1 Ampon 2.8 Datu Dani 2.4 Atlae 1.2 Gasi 3.0 Banahaw 2.4 Kapate 2.9 Banate 1.4 Katubao 3.0 Datal Bila 2.6 Kayupo 1.1 Datal Tampal 1.9 Kling (Lumit) 1.2 J.P. Laurel 2.1 Lagundi 1.5 Kawayan 2.6 Lebe 1.1 Kibala 1.6 Lomuyon 2.1 Kiblat 1.4 Luma 1.6 Kinabalan 1.9 Maligang 2.4 Lower Mainit 2.4 Nalus 2.0 Lutay 3.1 Poblacion 1.2 Malalag Cogon 1.4 Salakit 1.6 Malandag 1.1 Suli 1.4 Malungon Gamay 2.0 Tablao 1.2 Nagpan 1.2 Tamadang 2.4 Panamin 3.6 Tambilil 1.9 Poblacion 2.0 San Juan 4.4 MAASIM Amsipit 3.1 San Miguel 2.5 Bales 2.4 San Roque 2.3 Colon 1.6 Talus 1.6 Daliao 2.6 Tamban 3.3 Kabatiol 1.5 Upper Lumabat 3.6 Kablacan 1.7 Upper Mainit 2.2
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