3-CBMS

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By DR. CELIA M. REYES ANNE BERNADETTE E. MANDAP Presented at the 1 st M & E Forum Evaluation Theory, Approaches and Practices in the Philippines November 7-8, 2011 Crowne Plaza Manila Galleria, Philippines CBMS: A Tool for CBMS: A Tool for Monitoring and Monitoring and Evaluation Evaluation

Transcript of 3-CBMS

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By

DR. CELIA M. REYESANNE BERNADETTE E. MANDAP

Presented at the 1st M & E ForumEvaluation Theory, Approaches and Practices in the Philippines

November 7-8, 2011Crowne Plaza Manila Galleria, Philippines

CBMS: A Tool for CBMS: A Tool for Monitoring and Monitoring and

EvaluationEvaluation

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Outline of PresentationOutline of Presentation Key Areas of ConcernsKey Areas of Concerns Background on CBMSBackground on CBMS

Central Issues in Poverty ReductionCentral Issues in Poverty Reduction

Existing Sources of DataExisting Sources of Data National SurveysNational Surveys Community Based Monitoring SystemCommunity Based Monitoring System

CBMS Methodology and ProcessCBMS Methodology and Process Status of CBMS Implementation in the Status of CBMS Implementation in the

PhilippinesPhilippines Current Applications of CBMSCurrent Applications of CBMS

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Key Areas of ConcernsKey Areas of Concerns

Need to track the impacts of policies, Need to track the impacts of policies, programs and various shocks on the poor programs and various shocks on the poor and the vulnerableand the vulnerable

Lack of necessary disaggregated data that Lack of necessary disaggregated data that can be used as inputs to policymaking and can be used as inputs to policymaking and program implementationprogram implementation

Need for a sustainable mechanism that Need for a sustainable mechanism that would facilitate evidence-based decision would facilitate evidence-based decision making and impact-monitoring at each making and impact-monitoring at each geopolitical levelgeopolitical level

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Central Issues in Poverty Reduction

1.1. The who, the where and the why of The who, the where and the why of poverty:poverty: identification and targeting of identification and targeting of the poor to enhance the effectiveness of the poor to enhance the effectiveness of anti-poverty initiatives and programsanti-poverty initiatives and programs

2.2. The what and when of anti-poverty The what and when of anti-poverty programs: programs: identification of identification of interventions/ investments that have the interventions/ investments that have the highest impact on povertyhighest impact on poverty

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THE WHO, THE WHERE AND THE WHY OF THE WHO, THE WHERE AND THE WHY OF POVERTY: Some Issues and ConcernsPOVERTY: Some Issues and Concerns

1.1. Official statistics are reliable down to the Official statistics are reliable down to the regional and provincial levels only regional and provincial levels only (i.e. the (i.e. the sampling design of many of these surveys sampling design of many of these surveys provide estimates of the variables only at the provide estimates of the variables only at the provincial level.)provincial level.)

2.2. The collection of data is few and far in between, The collection of data is few and far in between, and processing adds a few more years so that and processing adds a few more years so that its usefulness for policy design diminishes.its usefulness for policy design diminishes.

3.3. And yet, local government units, under the law, And yet, local government units, under the law, are the front-liners in the fight against poverty are the front-liners in the fight against poverty and are mandated to assume the primary and are mandated to assume the primary responsibility for the provision of basic services responsibility for the provision of basic services and facilities and the improvement of the quality and facilities and the improvement of the quality of life of their constituents. of life of their constituents.

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Available Available Sources of DataSources of Data

Implementing Implementing AgencyAgency

Frequency of Frequency of CollectionCollection

Data ObtainedData Obtained

Family Income and Family Income and Expenditures Expenditures SurveySurvey (FIES) (FIES)

NSONSO Every 3 yearsEvery 3 years Family income and living Family income and living expenditures and related expenditures and related information affecting information affecting income and expenditure income and expenditure levels and patterns in the levels and patterns in the Philippines including Philippines including poverty incidencepoverty incidence

Annual Poverty Annual Poverty Indicator SurveyIndicator Survey (APIS)(APIS)

NSONSO Every year Every year wherein FIES is wherein FIES is not conductednot conducted

Socioeconomic profiles of Socioeconomic profiles of families and other families and other information relating to their information relating to their living conditions but not living conditions but not poverty incidencepoverty incidence

National National Nutritional SurveyNutritional Survey (NNS)(NNS)

FNRIFNRI Every 5 yearsEvery 5 years Food situation and Food situation and nutritional status of the nutritional status of the populationpopulation

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Available Sources of Data

Implementing Agency

Frequency of Collection

Data Obtained

Census of Census of Population and Population and HousingHousing (CPH) (CPH)

NSONSO Every 10 yearsEvery 10 years Size, composition and Size, composition and distribution of population in distribution of population in the Philippinesthe Philippines

Functional Literacy, Functional Literacy, Education and Education and Mass Media SurveyMass Media Survey (FLEMMS)(FLEMMS)

NSONSO IrregularIrregular Number of functionally Number of functionally literate population and literate population and their socioeconomic their socioeconomic characteristicscharacteristics

National National Demographic and Demographic and Health SurveyHealth Survey (NDHS)(NDHS)

NSONSO Every 5 yearsEvery 5 years Demographic, maternal Demographic, maternal and child health issues in and child health issues in the Philippinesthe Philippines

Labor Force SurveyLabor Force Survey (LFS)(LFS)

NSONSO Every quarter of Every quarter of the yearthe year

Levels and trends of Levels and trends of employment, employment, unemployment and unemployment and underemploymentunderemployment

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Available Sources of Data

Implementing Agency

Frequency of Collection

Data Obtained

Community Based-Monitoring System (CBMS)

Local Government Units (LGUs)with technical support of DILG, NEDA, SRTC, and NGOs (CBMS Network, Social Watch, IDPG ad others)

3 years • Demographic statistics

• Core set of poverty indicators (health and nutrition, education, income, employment shelter, water and sanitation, peace and order)

•MDGs indicators

•Access to social protection programs/basic services

•LGU/community-specific indicators relating to migration, disability, women’s well-being, natural calamities and disaster management among others

•Political/community participation

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National

Provincial

Municipal/City

Village/Barangay

Administrative Structure

Information Availability

CBMS can fill the gap

National surveys

CBMS

Decentralization creates new information demands that may be best satisfied with CBMS

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CBMSCBMS

Objectives To provide policymakers and program implementers with a regular source of necessary disaggregated data for :Determining the nature and extent of poverty Formulating appropriate policies and programsIdentifying eligible beneficiariesImpact Monitoring

Policies and ProgramsPolicy Shocks

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THE CBMS MethodologyTHE CBMS Methodology

CBMS is designed as an CBMS is designed as an organized processorganized process of of data collection, processing, validation, and data collection, processing, validation, and integration of data in the local development integration of data in the local development processesprocesses

It generates a It generates a core set of indicators that are that are being measured to determine the welfare status being measured to determine the welfare status of the population. These indicators capture the of the population. These indicators capture the multidimensional aspects of povertymultidimensional aspects of poverty..

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Key Features of CBMSKey Features of CBMS Involves a Involves a census of householdscensus of households

and not a sample surveyand not a sample survey It is rooted in local government and It is rooted in local government and

promotes community participationpromotes community participation It uses local personnel and It uses local personnel and

community volunteers as monitorscommunity volunteers as monitors It has a It has a core set of indicators

((outcome and impact indicatorsoutcome and impact indicators)) It establishes databanks at all It establishes databanks at all

geopolitical levelsgeopolitical levels

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CBMS ProcessCBMS ProcessStep 1

Advocacy / Organization

Step 1Advocacy /

Organization

Step 2Data Collection

and Field Editing

(Training Module 1)

Step 2Data Collection

and Field Editing

(Training Module 1)

Step 4Processing and

Mapping(Training Module 3)

Step 4Processing and

Mapping(Training Module 3)

Step 5Data validation

and Community Consultation

Step 5Data validation

and Community Consultation

Step 7Plan Formulation(Training Module 4)

Step 7Plan Formulation(Training Module 4)

Step 8Dissemination/Implementation

andMonitoring

Step 8Dissemination/Implementation

andMonitoring

Step 3Data Encoding

and Map Digitizing

(Training Module 2)

Step 3Data Encoding

and Map Digitizing

(Training Module 2)

Step 6Knowledge (Database)

Management

Step 6Knowledge (Database)

Management

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Methodology CBMS

Data Collection Household censusHousehold census done by trained done by trained local enumerators local enumerators Instruments for Data CollectionInstruments for Data Collection

•12 page household profile 12 page household profile questionnairequestionnaire (available in English and (available in English and Filipino)Filipino)

•6 page barangay profile questionnaire6 page barangay profile questionnaire

Data Processing Done by trained local data processors Done by trained local data processors using a using a freewarefreeware customized for CBMS customized for CBMS data encoding, processing, data encoding, processing, consolidation, and digitized poverty consolidation, and digitized poverty mapping.mapping.

Validation Survey findings are presented and Survey findings are presented and discussed in a community forumdiscussed in a community forum

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Methodology CBMS

Establishment of Database Establishment of Database Databases Databases are established are established at the LGU level at the LGU level (province/municipal/city/bar(province/municipal/city/barangay level)angay level)

A CBMS A CBMS national national repositoryrepository is currently is currently installed/maintained at NAPC, installed/maintained at NAPC, DILG-BLGD, and at the PEP DILG-BLGD, and at the PEP Asia-CBMS Network Office at Asia-CBMS Network Office at DLSU.DLSU.

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CBMSCBMS

Current Uses/ApplicationsCurrent Uses/Applications Provides the necessary data for Provides the necessary data for enriching the preparation of local enriching the preparation of local development plans and budgets;development plans and budgets;

Facilitates monitoring of Facilitates monitoring of core core local poverty indicatorslocal poverty indicators;;

A tool for localizing and A tool for localizing and monitoring the achievement of monitoring the achievement of the MDGs;the MDGs;

Provides basis for design and Provides basis for design and implementation of poverty implementation of poverty reduction programs and reduction programs and interventions;interventions;

Targeting of program Targeting of program beneficiaries;beneficiaries;

For hazard-risk and vulnerability For hazard-risk and vulnerability mapping and assessmentmapping and assessment

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CBMS

Applications for Targeting the Poor

Diagnosis of Core Set Poverty Indicators across all barangays/municipalities/cities within a province

CBMS Composite Index

Geographical Targeting

Proxy Means Test

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CBMSCBMS

Cost of Cost of ImplementationImplementation

Direct cost (P 70-P80/household) is Direct cost (P 70-P80/household) is shouldered by LGUs from their own shouldered by LGUs from their own development funddevelopment fund

Instruments for data collection, Instruments for data collection, processing, poverty mapping, processing, poverty mapping, database building, and training database building, and training materials and mentoring have materials and mentoring have already been developed and are already been developed and are provided to LGUs at no cost by the provided to LGUs at no cost by the CBMS NetworkCBMS Network

Training and mentoring is also Training and mentoring is also provided by a pool of accredited provided by a pool of accredited CBMS trainers from DILG, SRTC, and CBMS trainers from DILG, SRTC, and selected NGOs (e.g. Social Watch selected NGOs (e.g. Social Watch Philippines)Philippines)

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CBMSCBMSImplementation/Coverage First adopted by the First adopted by the

Provincial Government of Provincial Government of Palawan as a tool for Palawan as a tool for planning in 1999.planning in 1999.

As of As of September 30, September 30, 20112011, CBMS is being , CBMS is being adopted in adopted in 6565 provinces ( provinces (33 33 of which are province-wide) of which are province-wide) covering covering 767 767 municipalities, municipalities, 5050 cities and cities and 20,50320,503 barangays as a tool for local barangays as a tool for local development planning, development planning, poverty diagnosis and poverty diagnosis and monitoring the MDGs.monitoring the MDGs.

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With Technical Assistance from:

DILG-BLGD and CBMS Team with support from WB-ASEM

DILG-BLGD and CBMS Team with support from UNFPA

DILG-BLGD, DILG Regional offices and CBMS Team

Eastern Visayas CBMS TWG and CBMS Team

Bicol CBMS TWG and CBMS Team

Bicol CBMS TWG and CBMS Team with support from Spanish Govt

MIMAROPA CBMS TWG and CBMS Team

NAPC and CBMS Team with support from UNDP

Dawn Foundation and CBMS Team

Social Watch Philippines and CBMS Team

SRTC, SUCs and CBMS Team

Kagabay and CBMS Team

SRTC, NEDA IV-A and CBMS Team

PRRM, SWP and CBMS Team

CBMS Team

Coverage of CBMS implementation in the Philippines

as of September 30, 2011

20,503 barangays in 767 municipalities and 50 cities

In 65 provinces (33 of which are provincewide)

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Policy Issuances on the Use of CBMSPolicy Issuances on the Use of CBMSLocal policy issuancesLocal policy issuances since since 19991999 to present to present on the on the adoption and use of CBMS as a tool for local development adoption and use of CBMS as a tool for local development planning, poverty diagnosis, and MDGs monitoringplanning, poverty diagnosis, and MDGs monitoring

LMP Memorandum Circular 027-2006LMP Memorandum Circular 027-2006 enjoining all enjoining all municipalities to adopt/sustain the adoption of CBMS as a municipalities to adopt/sustain the adoption of CBMS as a tool for local poverty diagnosis and to institutionalize CBMS tool for local poverty diagnosis and to institutionalize CBMS as part of the system of local governanceas part of the system of local governance

LPP GA-Resolution 2011-001LPP GA-Resolution 2011-001 on adoption of CBMS and on adoption of CBMS and other locally developed poverty monitoring systems in other locally developed poverty monitoring systems in identifying DSWD beneficiaries of Pantawid Program and identifying DSWD beneficiaries of Pantawid Program and Philhealth Indigent Sponsored ProgramPhilhealth Indigent Sponsored Program

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Policy Issuances on the Use of CBMSPolicy Issuances on the Use of CBMS

National policy issuancesNational policy issuances in support of adoption and use of in support of adoption and use of CBMS:CBMS:Philhealth Board Resolution No. 982-2007

SDC Resolution No. 3-2006

NSCB Resolution No. 6-2005

DILG-Memorandum Circular 2004-152

NAPC-En Banc Resolution No. 7-2003

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DATA THAT CAN BE GENERATED FROM DATA THAT CAN BE GENERATED FROM CBMSCBMS

Data can be disaggregated across Data can be disaggregated across population sub-groups, and by geo-population sub-groups, and by geo-political levels (by barangay/village, political levels (by barangay/village, municipality/city, province)municipality/city, province)

CBMS, conducted on a regular basis, can CBMS, conducted on a regular basis, can generate panel data that can aid tracking generate panel data that can aid tracking of conditions of households/ groups of of conditions of households/ groups of population over timepopulation over time..

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Identifying Eligible Beneficiaries Identifying Eligible Beneficiaries

Through CBMSThrough CBMS CBMS is a rich source of data at the local level CBMS is a rich source of data at the local level

and can facilitate targeting by providing and can facilitate targeting by providing information on who are the information on who are the eligible eligible beneficiariesbeneficiaries for specific programs. for specific programs.

Sector-specific indicatorsSector-specific indicators can be used to can be used to identify who should receive the intervention.identify who should receive the intervention.

Composite indicatorsComposite indicators can be also used to can be also used to rank the poorest households in the village or rank the poorest households in the village or municipality.municipality.

Poverty status of beneficiaries can be Poverty status of beneficiaries can be monitored overtime through CBMSmonitored overtime through CBMS

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Some CBMS ApplicationsSome CBMS Applications

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Palawan Human Palawan Human Development Report Development Report

Palawan is the first province to come up with the publication of the Human Development Report in 2000 and 2006 which marks its achievement of being the first province to use household level data as basis for its development agenda

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Poverty MapsPoverty Maps

“The Many Faces of Poverty”, Volume 1

1.Agusan del Norte 2.Biliran3.Camarines Norte4.Eastern Samar5.Marinduque6.Romblon7.Siquijor

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Poverty MapsPoverty Maps

“The Many Faces of Poverty”, Volume 2

1.Agusan del Sur 2.Marinduque3.Oriental Mindoro4.Palawan5.Dinagat Islands6.Sarangani7.Southern Leyte

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Poverty MapsPoverty Maps

“The Many Faces of Poverty”, Volume 3

1.Batanes 2.Batangas3.Northern Samar4.Occidental Mindoro5.Surigao del Sur6.Tarlac7.Zamboanga del Sur

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Provincial MDG Reports Using CBMS Data

1.Agusan del Norte 2.Agusan del Sur 3.Biliran4.Camarines Norte5.Eastern Samar6.Marinduque7.Romblon8.Siquijor 9.Sarangani

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INDICATORSINDICATORSCBMS 2005CBMS 2005

TotalTotal MagnitudeMagnitude ProportionProportion

1. Proportion of children 0 – 4 yrs old who died1. Proportion of children 0 – 4 yrs old who died 30, 11930, 119 139139 0.50.5

2.Proportion of women who died due to pregnancy related causes2.Proportion of women who died due to pregnancy related causes 4, 2884, 288 33 0.10.1

3. Proportion of Children 0 – 5 yrs old who are malnourished3. Proportion of Children 0 – 5 yrs old who are malnourished 30, 11930, 119 2, 2362, 236 7.47.4

4. Proportion of households who are squatters4. Proportion of households who are squatters 46, 48446, 484 1, 0681, 068 2.32.3

5. Proportion of households living in makeshift housing5. Proportion of households living in makeshift housing 46, 48446, 484 1, 8541, 854 4.04.0

6. Proportion of households without access to safe water supplies6. Proportion of households without access to safe water supplies 46, 48446, 484 6, 7036, 703 14.414.4

7. Proportion of Households without access to sanitary toilet facilities7. Proportion of Households without access to sanitary toilet facilities 46, 48446, 484 12, 00912, 009 25.825.8

8. Proportion of children 6-12 years old who are not attending elementary 8. Proportion of children 6-12 years old who are not attending elementary schoolschool

40, 65640, 656 32, 48032, 480 80.080.0

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

21, 28821, 288 14, 74414, 744 69.369.3

10. Proportion of Households with income less than the poverty 10. Proportion of Households with income less than the poverty thresholdthreshold

46, 48446, 484 28, 69928, 699 61.761.7

11. Proportion of Households with income less than the food threshold11. Proportion of Households with income less than the food threshold 46, 48446, 484 21, 57121, 571 46.446.4

12. Proportion of Households who experienced food shortage12. Proportion of Households who experienced food shortage 46, 48446, 484 1, 8821, 882 4.14.1

13. Proportion of persons in the labor force who are unemployed13. Proportion of persons in the labor force who are unemployed 67, 75367, 753 8, 5258, 525 12.612.6

14. Proportion of Households with members victimized by crime14. Proportion of Households with members victimized by crime 46, 48446, 484 *325*325 0.20.2

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MUNICIPALITIESMUNICIPALITIESTotal HouseholdsTotal Households

Households without access to Households without access to sanitary toiletsanitary toilet

MagnitudeMagnitude ProportionProportion

BoacBoac 9, 6459, 645 2, 0942, 094 21.721.7

BuenavistaBuenavista 4, 0754, 075 1, 9731, 973 48.448.4

GasanGasan 6, 6866, 686 2, 0912, 091 31.331.3

MogpogMogpog 7, 2737, 273 2, 2432, 243 30.830.8

Sta. CruzSta. Cruz 12, 71012, 710 2, 1672, 167 17.017.0

TorrijosTorrijos 6, 0956, 095 1, 4411, 441 23.623.6

MarinduqueMarinduque 46, 48446, 484 12, 00912, 009 25.825.8

Proportion of Households without access to sanitary toilet

= Highest= Lowest

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Buenavista

CBMS Database

Map of Buenavista showing HHs with no access to sanitary toilet

CBMS Data 2005

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Provides inputs to Local Chief Executives with CBMS data used for planning and targeting purposes

Example:List of malnourished children

Confidential info

Use of CBMS data in Program Targeting

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Use of CBMS to Monitor Access to ProgramsA. Access to Pantawid Pamilyang Pilipino

Program

Income Income QuintileQuintile MagnitudeMagnitude % of HHs in the Income Quintile % of HHs in the Income Quintile

who were able to accesswho were able to access

11 6060 57.757.7

22 5959 56.756.7

33 5252 50.050.0

44 5959 57.357.3

55 4848 47.147.1

TOTALTOTAL 278278 53.853.8

Source: CBMS Survey 2009

About 53.8 percent of the households in 2 sites (identified to be beneficiaries of 4Ps) were able to access the program

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A. Access to Pantawid Pamilyang Pilipino Program

Note: Identification of poor is based on their PMT scores using 0.7 as the cut-offSource: Authors’ calculations

High leakage and exclusion rates in both villages

   Rate (%)Rate (%)

El RioEl Rio

Leakage RateLeakage Rate 65.465.4

Exclusion RateExclusion Rate 40.840.8

PiglawiganPiglawigan

Leakage RateLeakage Rate 26.426.4

Exclusion RateExclusion Rate 33.133.1

TOTALTOTAL

Leakage RateLeakage Rate 44.644.6

Exclusion RateExclusion Rate 35.635.6

Use of CBMS to Monitor Access to Programs

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B. Access to Philhealth ProgramIncome Income QuintileQuintile MagnitudeMagnitude % of HHs in the Income Quintile % of HHs in the Income Quintile

who were able to accesswho were able to access

11 161161 16.216.222 178178 17.917.933 188188 18.618.644 247247 24.924.955 311311 32.132.1

TotalTotal 1,0851,085 21.921.9

Source: CBMS Survey 2009 Only a little over one-fifth of households were able to access the Philhealth Program

Use of CBMS to Monitor Access to Programs

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B. Access to Philhealth ProgramNumber of poor HHs Number of poor HHs

without accesswithout access Exclusion RateExclusion Rate

Based on IncomeBased on Income

All SitesAll Sites 13751375 81.881.8

RuralRural 10121012 88.288.2

Urban NCRUrban NCR 4242 73.773.7

Urban AONCRUrban AONCR 321321 67.667.6

Based on PMTBased on PMT

All SitesAll Sites 733733 82.282.2

RuralRural 600600 86.886.8

Urban NCRUrban NCR 1616 80.080.0

Urban AONCRUrban AONCR 117117 64.664.6

Source: Authors’ calculations Higher exclusion rate is recorded for rural areas as compared to urban NCR and urban areas outside NCR

Use of CBMS to Monitor Access to Programs

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C. Access to NFA Rice Program

Source: CBMS Survey 2009

Not all HHs in the lowest income quintile were able to access the program Even households at the highest income quintile accessed the program

Income QuintileIncome Quintile MagnitudeMagnitude% of HHs in the Income % of HHs in the Income Quintile who were able Quintile who were able

to accessto access

11 676676 68.168.1

22 554554 55.855.8

33 436436 43.143.1

44 269269 27.227.2

55 143143 14.814.8

TotalTotal 2,0782,078 41.941.9

Use of CBMS to Monitor Access to ProgramsUse of CBMS to Monitor Access to Programs

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Source: Authors’ calculations

Leakage and Exclusion Rates

The highest leakage rate is recorded for urban NCR (87.8%) while the highest exclusion rate is reported for urban areas outside NCR (45.8%)

Use of CBMS to Monitor Access to ProgramsUse of CBMS to Monitor Access to ProgramsC. C. Access to NFA Rice Program

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Proportion of households without access to safe Proportion of households without access to safe water supply in Eastern Samar, by barangaywater supply in Eastern Samar, by barangay Proportion of households without access to safe Proportion of households without access to safe water supply in Eastern Samar, by barangaywater supply in Eastern Samar, by barangay

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Proportion of households who are poor without access to Philhealth, by Municipality, Province of Eastern Samar, 2005-2006

Eastern Samar - 48.2

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Proportion of households who are poor without access to Philhealth, by Barangay, Municipality of Balangiga, Eastern Samar, 2005

Eastern Samar - 48.2Balangiga – 39.2

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Brgy Pob 2

Leyte Gulf

Brgy Pob 3

Brgy Pob 4

Barangay San Miguel

Purok 25.3

Purok 117.2

Purok 311.6

Purok 432.7

Location of Households by Poverty Status and Access to Philhealth, Brgy. Poblacion 5, Balangiga, Eastern Samar, 2005

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ACCESS TO PHILHEALTH PROGRAM OF INCOME-ACCESS TO PHILHEALTH PROGRAM OF INCOME-POOR HOUSEHOLDSPOOR HOUSEHOLDSZONE 19, PASAY CITYZONE 19, PASAY CITY

Source: CBMS Survey 2005, City of Pasay

BrgyBrgy

HHs with HHs with income income below below

poverty poverty thresholdthreshold

HHs with access to HHs with access to Philhealth with income Philhealth with income below poverty thresholdbelow poverty threshold

MagnitudeMagnitude ProportionProportion

Zone 19Zone 19 12491249 261261 20.920.9

           

179179 157157 1515 9.69.6

185185 160160 1717 10.610.6

178178 184184 2626 14.114.1

182182 107107 2020 18.718.7

180180 9696 1818 18.818.8

184184 318318 9090 28.328.3

186186 123123 4040 32.532.5

181181 104104 3535 33.733.7

79% of households with income below the poverty threshold are not covered by the Philhealth Program.

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18632.5

17814.1

1799.6

182 18.7 18

133.7

18018.8

18510.

6

18428.3

Proportion of Income-Poor Households with Access to Proportion of Income-Poor Households with Access to Philhealth ProgramPhilhealth Program

Zone 19 (Bgys. 178-186), Pasay CityZone 19 (Bgys. 178-186), Pasay City

CBMS Survey 2005

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Maricaban Creek

123 out of 326

children 12-15 years old are not attending secondary

school

Households with children 12-15 years who are not in secondary school, Barangay 179, Pasay City

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Poverty Incidence by Barangay and Susceptibility to Poverty Incidence by Barangay and Susceptibility to

Landslides in BiliranLandslides in Biliran

MARIPIPI

KAWAYAN

ALMERIA CULABA

NAVAL

BILIRAN

CAIBIRAN

CABUCGAYAN

71.5

81.3

56.7 76.2

55.4

64.4

70.5

61.4

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Food Shortage by Barangay and Susceptibility to Flooding

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Camarines Norte

Biliran

Eastern Samar

Agusan del Sur

Marinduque

Palawan

No. of Funded Projects: 25 Total Amount: Php4.7M

CBMS-UNDP Development Grant Program Project Sites

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CBMS-UNDP Development Grant Program Awardees

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CBMS-UNDP Development Grant Program: Awardees

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Before Intervention:Household without access to safe Water, Brgy. Añgas, Tabaco City 2008

After Intervention (PODER Project):Household without access to safe water, Brgy. Añgas, Tabaco City 2009

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Uses of CBMS for Monitoring and EvaluationUses of CBMS for Monitoring and Evaluation

CBMS can aid program/project monitoring since it provides CBMS can aid program/project monitoring since it provides the necessary disaggregated data on access to programsthe necessary disaggregated data on access to programs

CBMS, can generate panel data that can aid tracking of CBMS, can generate panel data that can aid tracking of conditions of households/ groups of population (e.g. conditions of households/ groups of population (e.g. beneficiaries of programs) over timebeneficiaries of programs) over time..

CBMS provides baseline data that can be used for CBMS provides baseline data that can be used for evaluation of appropriate interventionsevaluation of appropriate interventions

Since CBMS is being conducted on a regular basis by Since CBMS is being conducted on a regular basis by LGUs, it can facilitate monitoring of both short term and LGUs, it can facilitate monitoring of both short term and long term impacts of projects and programs.long term impacts of projects and programs.

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For further inquiries:

PEP-Asia-CBMS Network OfficeAngelo King Institute for Economic and Business StudiesDe La Salle University10th Floor, Angelo King International CenterEstrada corner Arellano Sts., Malate, Manila, PhilippinesTelefax: (632)5262067Email: [email protected] [email protected] Website: www.pep-net.org