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Utilizing CBMS in Monitoring and Targeting the Poor: The case of Barangay Kemdeng, San Vicente, PalawanA CBMS Philippines Research Paper prepared for the PEP Network MeetingJune 18, 2004
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Outline of presentationPart 1:
ObjectivesPhysical Characteristic of KemdengResults of the 2000 and 2002 CBMS Survey
Part 2:
Use of Scores in Ranking HouseholdsUses of CBMS at the local levelConclusions and Recommendations
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General ObjectivesMonitor the welfare conditions of local people particularly the poor
Examine the changes over time of CBMS core indicators using the survey result in 2000 and 2002
Provide an aggregate measure of poverty to be able to target the poor
- Use of composite index
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Barangay Kemdeng: Physical Characteristic
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Barangay Kemdeng: DemographyIn 2000, there were 135 hhlds with a population of 713 persons and hhld size of 5.3These figures declined in 2002 with 127 hhlds, 612 persons and hhld size of 4.8The main reason for the decline in population count is migration
due to closure of small-scale silica mining operation in Purok Maunlad in 2000other family members who study or work in other locations in Puerto Princesa city or in Manila
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Barangay Kemdeng: DemographyThe number of IP households or Tagbanuas increased from 6 hhlds or 24 persons in 2000 to 10 hhlds or 44 persons in 2002. All IP hhlds in the barangay live in Purok Ugnayan
There are more males than females with sex ratio of 110.9 in 2000 and 114.7 in 2002.
Other results:
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Barangay Kemdeng: Health and NutritionIn 2000, no infant deaths were reported in the survey There were 3 infant deaths according to the 2002 survey
Due to poor health conditions of infants when bornDue to lack of access to safe water and poor sanitation
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Barangay Kemdeng: Health and NutritionIn 2000, 7 ( or 2 males and 5 females) severely malnourished children were recorded among 137 childrenNo malnourished children were found among the IP hhlds.
Due to the conduct of feeding programs by barangay officials, only one child remained severely malnourished in 2002 from among the 7 children who were reported malnourished in 2000
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Barangay Kemdeng: Health and NutritionIn 2002, 6 ( 2 males and 4 females) case of severely malnourished children were recorded. Two out of the five new cases are member of IP hhlds.The explanation for the malnutrition prevalence are:
Busyness of some mothers in their workPoor health status of some of the mothersLack of money of some households to be able to complete the six month nutrition regimeDue to the poor access to safe water and sanitation in the barangay
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Barangay Kemdeng: Access to Basic ServicesIn 2000, only 44 hhlds or 32.6% have access to safe drinking water.2002 survey results show a drastic decline with only 22 hhlds or 17.3% have access to safe water.In both surveys reveal that all IP households do not have access to safe water
The decline was due to the fact that 3 existing deep wells have been damaged and now inoperative, affecting at least 20 hhlds.
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Barangay Kemdeng: Access to Basic ServicesMost of these hhlds now tap unsafe water sources such as dug wells, rivers and undeveloped springs for their water needs.
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Barangay Kemdeng: Access to Basic ServicesIn 2000, 80 hhlds or 59.3% have access to sanitary toilet facilityThe 2002 survey reveal a drastic decline with only 31 hhlds or 24.4% of hhlds with accessThe reason for these are:
Toilet bowls distributed in previous sanitation program were not durableDecline in access to safe water supply, particularly deep wells. Some hhlds opted to build and use closed or open pits which do not need water to clean and maintain.
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Barangay Kemdeng: Access to Basic ServicesThe number of hhlds with access to safe water and sanitary toilet drastically declined from 77.3% in 2000 to only 27.3% in 2002.
In both survey years, IP hhlds do not have access to water-sealed toilets. Some use closed/open pits while others do not have any kind of sanitation facility.
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Barangay Kemdeng: Access to Basic ServicesOnly 8 households (5.9%) have access to electricity in 2000 while only 11 hhlds or 8.7% have or avail of these services in 2002.
Due to limited coverage and cost of electric power
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Barangay Kemdeng: Education
Chart3
80.876.6
4028.6
8075
81.878.7
2000
2002
Proportion
Elementary school participation rates among 6-11 years old children
Sheet1 (3)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Participation in Schools by level
2000200220002002
NumberNumberPercentPercent
Total8287.3
IP33.345.5
Male82.487.5
Female81.687
Sheet1 (3)
00
00
00
00
2000
2002
Proportion
School participation rates
Sheet1 (2)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Participation in Schools by level
2000200220002002
NumberNumberPercentPercent
Secondary30.627.3
IP00
Male35.530
Female2524
Sheet1 (2)
00
00
00
00
2000
2002
Proportion
Secondary school participation rates
Sheet1
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Participation in Schools by level
2000200220002002
NumberNumberPercentPercent
Elementary848280.876.6
IP224028.6
Male48458075
Female363781.878.7
Sheet1
00
00
00
00
2000
2002
Proportion
Elementary school participation rates among 6-11 years old children
Sheet2
Sheet3
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Barangay Kemdeng: EducationTeachers provide free lunch for students, especially to IP studentsReasons for decline:
School has only 3 classroomsFamilies have difficulty in meeting other school expensesSome students are already working in the fields, especially IP children
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Barangay Kemdeng: Education
Chart2
30.627.3
00
35.530
2524
2000
2002
Proportion
Secondary school participation ratesamong 12-15 year old children
Sheet1 (2)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Participation in Schools by level
2000200220002002
NumberNumberPercentPercent
Secondary30.627.3
IP00
Male35.530
Female2524
Sheet1 (2)
00
00
00
00
2000
2002
Proportion
Secondary school participation rates
Sheet1
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Participation in Schools by level
2000200220002002
NumberNumberPercentPercent
Elementary848280.876.6
IP224028.6
Male48458075
Female363781.878.7
Sheet1
00
00
00
00
2000
2002
Proportion
Elementary school participation rates
Sheet2
Sheet3
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Barangay Kemdeng: EducationReasons for low participation in secondary school:
Distant location of the nearest secondary school in Poblacion (by boat or 12 km walk)Some students are already working to help earn income for their households
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Barangay Kemdeng: Education
Chart4
8287.3
33.345.5
82.487.5
81.687
2000
2002
Proportion
School participation rates among 6-16 year old children
Sheet1 (3)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Participation in Schools by level
2000200220002002
NumberNumberPercentPercent
Total8287.3
IP33.345.5
Male82.487.5
Female81.687
Sheet1 (3)
2000
2002
Proportion
School participation rates among 6-16 year old children
Sheet1 (2)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Participation in Schools by level
2000200220002002
NumberNumberPercentPercent
Secondary30.627.3
IP00
Male35.530
Female2524
Sheet1 (2)
2000
2002
Proportion
Secondary school participation ratesamong 12-15 year old children
Sheet1
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Participation in Schools by level
2000200220002002
NumberNumberPercentPercent
Elementary848280.876.6
IP224028.6
Male48458075
Female363781.878.7
Sheet1
2000
2002
Proportion
Elementary school participation rates among 6-11 years old children
Sheet2
Sheet3
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Barangay Kemdeng: EducationThere are children 6-11 years old who are still attending daycare, kindergarten or preparatory levelThere are children 12-15 who are still at the elementary level
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Barangay Kemdeng: Employment
Chart6
89.792.3
100100
96.194.9
78.288.2
2000
2002
Proportion
Employment Rate
Sheet1 (6)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Underemployment Rate
2000200220002002
NumberNumberPercentPercent
Total56.791.6
IP00
Male57.894.7
Female54.485
Sheet1 (6)
2000
2002
Proportion
Underemployment Rate
Sheet1 (5)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Employment Rate
2000200220002002
NumberNumberPercentPercent
Total89.792.3
IP100100
Male96.194.9
Female78.288.2
Sheet1 (5)
2000
2002
Proportion
Employment Rate
Sheet1 (4)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Labor force participation rate
2000200220002002
NumberNumberPercentPercent
Total65.850.1
IP
Male82.962.6
Female35.935.6
Sheet1 (4)
2000
2002
Proportion
Labor Force Participation Rate
Sheet1 (3)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Participation in Schools by level
2000200220002002
NumberNumberPercentPercent
Total8287.3
IP33.345.5
Male82.487.5
Female81.687
Sheet1 (3)
2000
2002
Proportion
School participation rates among 6-16 year old children
Sheet1 (2)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Participation in Schools by level
2000200220002002
NumberNumberPercentPercent
Secondary30.627.3
IP00
Male35.530
Female2524
Sheet1 (2)
2000
2002
Proportion
Secondary school participation ratesamong 12-15 year old children
Sheet1
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Participation in Schools by level
2000200220002002
NumberNumberPercentPercent
Elementary848280.876.6
IP224028.6
Male48458075
Female363781.878.7
Sheet1
2000
2002
Proportion
Elementary school participation rates among 6-11 years old children
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Barangay Kemdeng: EmploymentAgriculture employs 72.6% of the employed in the barangay.Fishing and forestry are also among the common occupations of those employedShare of the employed in the industry sector declined from 7.5% in 2000 to 3.8% in 2002Most male workers are in the agriculture sector while females are in the services sectorMost employed IP are in the agriculture sector, undertaking farming activities in the upland and clearing of timberland
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Barangay Kemdeng: EnablingPovertySubsistence
Chart1
64.427.6
83.340
45.915.7
33.340
2000
2002
Proportion
Incidence of Poverty
Sheet1 (7)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Underemployment Rate
2000200220002002
NumberNumberPercentPercent
Total64.427.6
IP83.340
Total45.915.7
IP33.340
Sheet1 (7)
2000
2002
Proportion
Incidence of Poverty
Sheet1 (6)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Underemployment Rate
2000200220002002
NumberNumberPercentPercent
Total56.791.6
IP00
Male57.894.7
Female54.485
Poverty
Subsistence
Sheet1 (6)
2000
2002
Proportion
Underemployment Rate
Sheet1 (5)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Employment Rate
2000200220002002
NumberNumberPercentPercent
Total89.792.3
IP100100
Male96.194.9
Female78.288.2
Sheet1 (5)
2000
2002
Proportion
Employment Rate
Sheet1 (4)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Labor force participation rate
2000200220002002
NumberNumberPercentPercent
Total65.850.1
IP
Male82.962.6
Female35.935.6
Sheet1 (4)
2000
2002
Proportion
Labor Force Participation Rate
Sheet1 (3)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Participation in Schools by level
2000200220002002
NumberNumberPercentPercent
Total8287.3
IP33.345.5
Male82.487.5
Female81.687
Sheet1 (3)
2000
2002
Proportion
School participation rates among 6-16 year old children
Sheet1 (2)
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Participation in Schools by level
2000200220002002
NumberNumberPercentPercent
Secondary30.627.3
IP00
Male35.530
Female2524
Sheet1 (2)
2000
2002
Proportion
Secondary school participation ratesamong 12-15 year old children
Sheet1
Demography
20002002
Households135127
Persons713612
HH size5.34.8
Participation in Schools by level
2000200220002002
NumberNumberPercentPercent
Elementary848280.876.6
IP224028.6
Male48458075
Female363781.878.7
Sheet1
2000
2002
Proportion
Elementary school participation rates among 6-11 years old children
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Barangay Kemdeng: Enabling
More accurate income estimates were taken from the 2002 CBMS surveyIn 2000 CBMS, only income from wages/salaries and entrepreneurial activities were considered.To get a more accurate information on income, other income from other sources and other receipts were included in the 2002 questionnaire
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Barangay Kemdeng: Summary of resultsBased on the CBMS results, the barangay has not been performing well.Areas to prioritize:
Access to safe waterAccess to sanitary toiletAccess to electricityHealth and nutritionEmploymentElementary and secondary participation
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Barangay Kemdeng: Summary of resultsGender concerns:
Males are more vulnerable in the areas of health while females are not performing well in nutritionFemales slightly performs better when it comes to elementary participation while males are performing well in secondary school participation rateMales are dominantly employed in agriculture while females are more employed in the services sector
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Barangay Kemdeng: Summary of results
IPs are more marginalized in areas of education, literacy and access to basic servicesThe indicators are interrelated and explains some of the trends
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Barangay Kemdeng: Benefit Incidence AnalysisProportion and distribution of households with children 6-16 years old who are attending public school, by per capita income decile
Per Capita Income DecileTotal Households with childre 6-11 years oldHouseholds with children attending elementary schoolMagnitudeProportion (row)Proportion (column)Kemdeng706491.41001st7685.79.42nd7685.79.43rd7685.79.44th7710010.95th7710010.96th7710010.97th7685.79.48th7685.79.49th7685.79.410th7710010.9
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Barangay Kemdeng: Benefit Incidence Analysis
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Barangay Kemdeng: Benefit Incidence Analysis
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Barangay Kemdeng: Benefit Incidence AnalysisThe heads of these households have low educational attainment, only reaching at least the elementary levelNo access to basic servicesTwo out of the six households are IP householdsProximity of the household to the location of the school
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Barangay Kemdeng: Benefit Incidence Analysis
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Use of Scores in Ranking the HouseholdsComparison between Simple and Categorically Weighted Composite Indicator
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Rationale of Composite IndicatorRicher concept of multidimensional poverty
Identifying the poorest households
Discriminating between geopolitical and sub-geopolitical units
Resource allocation
Impact assessment
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Composite Indicator: Brief DescriptionIdeally, must summarize the characteristics of a particular household drawn from a set of indicators
A function of the set of indicators
Categories could be equally or differentially weighted
Eventually, must draw household ranking and poverty rates
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Definition/Denotation of TermsTarget or Population Units 127 households of Brgy. Kemdeng, San Vicente, Palawan
Poverty Attributes CBMS core socio-economic indicators
Poverty Measure quantifier or criterion in classifying a population unit
Poverty Indicator transformation or realization of the poverty measure
Poverty Rate relative magnitude of poor households using the poverty indicator
Composite Poverty Measure, Poverty Indicator and Poverty Rate multidimensional function of the set of univariate Poverty Indicators.
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Methods Utilized: At a GlanceSimple Scoring
Function of binary scores of the welfare indicatorsIntuitively, the interest is the number of welfare indicators successfully attainedPoverty attributes are weighted equallyPoverty attributes and population units are treated independently
Categorical Weighting
Function of varying weights of categories within welfare indicatorsDoes not imply that the concern is the number of indicators successfully attainedPoverty thresholds are derivedRelative weights are used, therefore, poverty attributes and population units are not treated independently
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The CBMS Core Household IndicatorsHealth
With child deathWith malnourished children 0-5 years old
Education and literacy
With members 6-16 years old not attending schoolWith illiterate members
Housing
Tenure status of house and lotConstruction of the house
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The CBMS Core Household IndicatorsAccess to basic services
Source of drinking waterToilet facilityElectricity
Enabling
Subsistence statusPoverty statusWith at least one employed memberWith underemployed member
Peace and order
With victims of crime
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Composite Indicator using Simple ScoringConstruction, Ranking and Poverty Rates
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Simple Scoring: ConstructionPoverty indicators are transformed with a uniform direction
One (1) is assigned to the positive category and zero (0) to the negative ones to form the profiles of the households
Percent of scores in each household is derived
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Simple Scoring: Poorest HouseholdsBottom households that attained less than 50 percent of the indicators
Sheet1
RankIDPurokHousehold HeadSimple Composite Poverty Measure
174NagkakaisaYayen, Nelson33.3
2122UgnayanBinggon, Manuel33.3
363MahayahayAbanes, Ronie35.7
4107UgnayanYayen, Romeo jr.35.7
5117UgnayanPadilla, Ricardo41.7
632MaunladBadenas, Luorbar42.9
7119UgnayanPadilla, Baltazar45.5
Sheet2
Sheet3
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Simple Scoring: Well-off HouseholdsTop households that attained more than 80 percent of the indicators
Sheet1
RankIDPurokHousehold HeadSimple Composite Poverty Measure
11172MahayahayDe Gusman, Noli81.8
11221ManingningRefianco, Mamento81.8
11334MaunladAlmoguerra, Eger81.8
11493NagkakaisaZabanal, Begesdes81.8
115100Ugnayanllavan, agustin81.8
11678NagkakaisaBacul, Senecio83.3
11786NagkakaisaCaranza, Joseph84.6
11895NagkakaisaVicente, Danilo84.6
11954ViscuaAbique, Jesus84.6
12055ViscuaMagahis, Dominador84.6
12156ViscuaAbique, Remy84.6
12268Mahayahaylegaspi, eddie85.7
12338MaunladEstoce, Avelio85.7
12430MaunladDulgeme, Pedro90.9
125101Ugnayanyayen, francisco90.9
12680NagkakaisaLabrador, Rodencion92.3
12726ManingningDejosco, Kenny100
Sheet2
Sheet3
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Simple Scoring: Poverty RatesBrackets of Simple Scores
Sheet1
Simple Composite Poverty measureFrequencyProportionCumulative
>=30 to =40 to =50 to =60 to =70 to =80 to =90 to
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Simple Scoring: Summary of CharacteristicsRelatively easy and apparently doable
Weights are equally and arbitrarily set
Profile and composite poverty measure of each household remains the same even when population units are increased/decreased
Weights remain the same no matter how many indicators are included/excluded
Composite poverty rate may vary greatly depending on the number of indicators that must be attained
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Simple Scoring: ValidationBottom Households
Nelson Yayen, although in the bottom, has considerably adequate income Manuel Binggon, Ricardo Padilla and Baltazar Padilla are heads of IP households
Top Households
Kenny Dejosco is the barangay CaptainPedro Dulgeme is a tourist caretakerRodencion Labrador is formerly a Municipal Council candidate
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Categorically Weighted Composite IndicatorConstruction, Ranking and Poverty Rates
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Categorically Weighted Composite Indicator: ConstructionPoverty indicators are transformed or retained in raw (as is) categories possessing some ordinal characteristics
A dimension reduction technique (Multiple Correspondence Analysis) is applied on the set of population units and their poverty attributes
Elimination of poverty attributes is done during the dimension reduction process
A set of category weights within indicators is derived to form the profiles and composite poverty measures
Poverty thresholds are defined to compute poverty rates
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Introduction to Multiple Correspondence Analysis (MCA)An exploratory technique designed to analyze multi-way tables containing some measure of correspondence between the rows and columns
The goal is to depict the characteristics of a set of variables in a low dimensional way
Variables must be either in categorical or ordinal scale
Dimensions extracted are arranged in terms of amount of variation explained
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Categorically Weighted Composite Indicator: First MCAMeasure of Dispersion of each Indicator, Preliminary
Sheet1
IndicatorsDim 1Dim 2
Overall (Eigenvalue)0.18950.1572
TOILF20.58230.5287
WATSRC40.3840.1703
W1NTLIT0.38120.2585
POVSUB0.29940.1394
WELEC0.29630.0011
W1UNDEMP0.20130.3006
NTSCH0.13950.2782
WMALN20.08940.0626
TENURE40.0630.0346
WVICT0.01780.0585
W1JOB0.00450.1808
WCHILDD20.00430.0096
Sheet2
Sheet3
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Categorically Weighted Composite Indicator: First MCACategory Quantifications of two of the least dispersed indicators
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Categorically Weighted Composite Indicator: First MCAThe first set of indicators drew a very low measure of information of 0.1895 in the first axis and 0.1572 in the second axis
Toilet facility is the most dispersed indicator given the first MCA
Child death, at least one employed member and makeshift housing are the indicators that have the lowest discriminations
All of the indicators follow ordering consistency with respect to the first axis except the two of the least dispersed indicators
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Categorically Weighted Composite Indicator: Final MCAMeasure of Dispersion of each Indicator, Final
Sheet1
IndicatorsDim 1Dim 2IndicatorsDim 1Dim 2
Overall (Eigenvalue)0.18950.1572Overall (Eigenvalue)0.24320.1955
TOILF20.58230.5287TOILF20.5840.4721
WATSRC40.3840.1703WATSRC40.37850.2272
W1NTLIT0.38120.2585W1NTLIT0.3630.326
POVSUB0.29940.1394WELEC0.30070.0047
WELEC0.29630.0011POVSUB0.29190.1043
W1UNDEMP0.20130.3006W1UNDEMP0.19940.3805
NTSCH0.13950.2782NTSCH0.13670.3254
WMALN20.08940.0626WMALN20.09740.0537
TENURE40.0630.0346TENURE40.06350.0126
WVICT0.01780.0585WVICT0.01680.0482
W1JOB0.00450.1808
WCHILDD20.00430.0096
Sheet2
Sheet3
45.bin
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Categorically Weighted Composite Indicator: Final MCAThe measure of information has increased given the final set of indicators
Toilet facility is still the most dispersed indicator given the final MCA
Now, all of the indicators follow ordering consistency with respect to the first axis and ordinal direction of poverty
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Categorically Weighted Composite Indicator: Final MCACategory Quantifications, FinalNote that quantifications to the right of the first axis are categories attributed to well-off characteristics
The first axis can be called the poverty axis also because the first axis explains the most variation
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Categorically Weighted Composite Indicator: Poverty Weights and ThresholdsThe category quantifications in the first axis are adjusted in scale preserving the nature of ordering and distances to reflect a set of positive weights
Household profiles are based on the category weights
Composite poverty measure in each household is the averaged profile
Poverty thresholds in each indicator is defined
Overall poverty threshold is the average of the individual poverty thresholds
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Categorically Weighted Composite Indicator: Poorest Households
Bottom ten households according to the Weighted Composite Poverty Measure
Sheet1
RankIDPurokHousehold HeadWeighted Composite Poverty Measure
1122Ugnayanbinggon, manuel226.4
2117Ugnayanpadilla, ricardo324.2
363Mahayahayabanes, ronie485.1
474NagkakaisaYayen, Nelson492.8
5107Ugnayanyayen, romeo jr.492.8
6118Ugnayantrepit, prodencio537.1
7115Ugnayandelos reyes, jaime630.3
8120Ugnayansabenacio, antero649.1
990NagkakaisaPefrianco, Domingo649.5
1062MahayahayLlavan, Baltazar688.9
Sheet2
Sheet3
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Categorically Weighted Composite Indicator: Well-off Households
Top ten households according to the Weighted Composite Poverty Measure
Sheet1
RankIDPurokHousehold HeadWeighted Composite Poverty Measure
1122Ugnayanbinggon, manuel226.4
2117Ugnayanpadilla, ricardo324.2
363Mahayahayabanes, ronie485.1
474NagkakaisaYayen, Nelson492.8
5107Ugnayanyayen, romeo jr.492.8
6118Ugnayantrepit, prodencio537.1
7115Ugnayandelos reyes, jaime630.3
8120Ugnayansabenacio, antero649.1
990NagkakaisaPefrianco, Domingo649.5
1062MahayahayLlavan, Baltazar688.9
RankIDPurokHousehold HeadWeighted Composite Poverty Measure
11878NagkakaisaBacul, Senecio2121.6
11938MaunladEstoce, Avelio2201.1
12095NagkakaisaVicente, Danilo2233.5
12156ViscuaAbique, Remy2233.5
12286NagkakaisaCaranza, Joseph2234
12355ViscuaMagahis, Dominador2234
124101Ugnayanyayen, francisco2313.3
12580NagkakaisaLabrador, Rodencion2411.3
12630MaunladDulgeme, Pedro3209.5
12726ManingningDejosco, Kenny3564.2
Sheet2
Sheet3
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Categorically Weighted Composite Indicator: Validation ExerciseBottom Households
Two bottom households of Manuel Binggon and Ricardo Padilla are IP householdsProdencio Trepit and Jaime Delos Reyes are also heads of IP householdsNelson Yayen has considerably adequate incomeRomeo Yayen Jr. only gets their livelihood from fishing
Top Households
Kenny Dejosco is the barangay CaptainPedro Dulgeme is a tourist property caretakerRodencion Labrador is formerly a Municipal Council Candidate
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Categorically Weighted Composite Indicator: Poverty Rate and CorrelationsComposite poverty measure increases as per capita income or educational attainment increases
Composite poverty measure decreases as household size decreases
Composite Poverty Threshold=2284.94
Sheet1
RankIDPurokHousehold HeadWeighted Composite Poverty Measure
1122Ugnayanbinggon, manuel226.4
2117Ugnayanpadilla, ricardo324.2
363Mahayahayabanes, ronie485.1
474NagkakaisaYayen, Nelson492.8
5107Ugnayanyayen, romeo jr.492.8
6118Ugnayantrepit, prodencio537.1
7115Ugnayandelos reyes, jaime630.3
8120Ugnayansabenacio, antero649.1
990NagkakaisaPefrianco, Domingo649.5
1062MahayahayLlavan, Baltazar688.9
RankIDPurokHousehold HeadWeighted Composite Poverty Measure
11878NagkakaisaBacul, Senecio2121.6
11938MaunladEstoce, Avelio2201.1PurokTotal HouseholdsssPoverty rate
12095NagkakaisaVicente, Danilo2233.5MagnitudeProportion
12156ViscuaAbique, Remy2233.5
12286NagkakaisaCaranza, Joseph2234Kemdeng12712396.9
12355ViscuaMagahis, Dominador2234
124101Ugnayanyayen, francisco2313.3Mahayahay1515100
12580NagkakaisaLabrador, Rodencion2411.3Maningning272696.3
12630MaunladDulgeme, Pedro3209.5Maunlad191894.7
12726ManingningDejosco, Kenny3564.2Nagkakaisa252496
Ugnayan302996.7
Viscua1111100
Sheet2
Sheet3
Sheet1
RankIDPurokHousehold HeadWeighted Composite Poverty Measure
1122Ugnayanbinggon, manuel226.4
2117Ugnayanpadilla, ricardo324.2
363Mahayahayabanes, ronie485.1
474NagkakaisaYayen, Nelson492.8
5107Ugnayanyayen, romeo jr.492.8
6118Ugnayantrepit, prodencio537.1
7115Ugnayandelos reyes, jaime630.3
8120Ugnayansabenacio, antero649.1
990NagkakaisaPefrianco, Domingo649.5
1062MahayahayLlavan, Baltazar688.9
RankIDPurokHousehold HeadWeighted Composite Poverty Measure
11878NagkakaisaBacul, Senecio2121.6
11938MaunladEstoce, Avelio2201.1PurokTotal HouseholdsPoverty rate
12095NagkakaisaVicente, Danilo2233.5MagnitudeProportion
12156ViscuaAbique, Remy2233.5
12286NagkakaisaCaranza, Joseph2234Kemdeng12712396.9
12355ViscuaMagahis, Dominador2234
124101Ugnayanyayen, francisco2313.3Mahayahay1515100
12580NagkakaisaLabrador, Rodencion2411.3Maningning272696.3
12630MaunladDulgeme, Pedro3209.5Maunlad191894.7
12726ManingningDejosco, Kenny3564.2Nagkakaisa252496
Ugnayan302996.7
Viscua1111100
VariableComposite Poverty MeasureSignificance
Per capita income0.41920.000
Total household income0.35060.000
Household size-0.17740.046
Educational attainment0.42850.000
Sheet2
Sheet3
-
Categorically Weighted Composite Indicator: gender
-
Categorically Weighted Composite Indicator: Sector
-
Categorically Weighted Composite Indicator: Meaning of the Second AxisThe second axis could be viewed as a grouping scale of the puroks of the barangay
The northwestern barangays cluster together, as well as southwestern barangays
Ugnayan, the IP community separates from the rest of the puroks
Income Summary
Source of IncomeObsMeanStandard DeviationMinMax
Total Income from Entrpreneurial Activities12784546.790498.40761000
Total Income from Salaries and Wages12712583.631963.50192000
Total Income from Other Sources12712277.129564.20295200
Total Income from Wages and Entrepreneurial Activities12797130.492435.90809000
Total Household Income127109229.291960.86400818600
dim-purok
PurokMean Scores
Poverty AxisSecond Axis
Ugnayan-0.4576-0.7534
Maningning0.01760.0650
Nagkakaisa0.19000.1811
Viscua0.70760.3231
Mahayahay0.03750.3564
Maunlad0.17790.3626
dim-purok
Purok
Mean
Dimension 2
Sheet1
PurokTotal HouseholdsPoverty rateCorrelations
MagnitudeProportion
Composite Poverty MeasureSignificance
Kemdeng12712396.94Total household income0.35060.0001
Household size-0.17740.0461
Mahayahay1515100.00Educational attainment0.42850.0000
Maningning272696.31
Maunlad191894.71
Nagkakaisa252496.01
Ugnayan302996.71
Viscua1111100.00
Purok
Mean
Dimension 1
Poverty Axis
Second Axis
Mean Scores, by Purok
Totinr
rankhcnpurokmname02totinr02
147MaunladTabangay, Floresto0
26ManingningRadam, Felix0
383NagkakaisaAbus, Cherlito0
499Ugnayanmabutin, flaviano0
521ManingningRefianco, Mamento570
6119Ugnayanpadilla, baltazar4000
789NagkakaisaBacuel, Pepe Sr.6000
8124Ugnayanyayen, romeo sr.8000
9117Ugnayanpadilla, ricardo12000
10107Ugnayanyayen, romeo jr.12000
1149ViscuaNangit, Enrique15000
1285NagkakaisaLlavan, Rey15000
137Maningningabela, Trinidad15000
1436Maunladdacillo, Vicente15000
15118Ugnayantrepit, prodencio15000
16101Ugnayanyayen, francisco16000
1781NagkakaisaSolis, Noel16500
1872Mahayahayde gusman, noli16500
1919ManingningZabanal, Victor18500
2038MaunladEstoce, Avelio19250
2197Ugnayanabigue, francisco20000
2223ManingningLaguta, Renato22592
2362MahayahayLlavan, Baltazar23610
2445MaunladCabanes, Garciano24000
25122Ugnayanbinggon, manuel28000
2661MahayahayBadenas, Querubin30000
2759Mahayahaybesitulo, antonio31840
28109Ugnayancasuga, audy32500
2974NagkakaisaYayen, Nelson34800
30123Ugnayancasuga, aurelio36000
3142MaunladCabebe, Josie36000
3263Mahayahayabanes, ronie36000
3339MaunladYayen, Elva36200
3410ManingningPacaldo, Espectation38600
35102Ugnayangaayono, eddie41000
3692NagkakaisaBaconga, Rosendo42000
3757ViscuaBaquiran, Reynan46000
3870Mahayahaysubron, rubie46800
3932MaunladBadenas, Luorbar47920
40103Ugnayanbaconga, prescilia49000
4167MahayahayPolinar, Brexcio49000
42110Ugnayancaab, anasita50885
43120Ugnayansabenacio, antero51000
44105Ugnayandecio, rolly51200
4520ManingningLlauan, Alex53544
4690NagkakaisaPefrianco, Domingo55000
4794Mahayahaymangaya, ricky57800
4888NagkakaisaBesitulo, Gerry58000
4994NagkakaisaRaet, Reynaldo58500
5025ManingningLaguna, Rolando60575
5137Maunladdacillo, Edgar63200
5296NagkakaisaSolis, Welhim65140
5371Mahayahaycabillan, edwin66000
5411ManingningCamposano, alvin66500
551ManingningBaconga, Reynaldo70200
56104Ugnayanyayen, edgar70480
5753ViscuaMondragon, Randy72000
58106Ugnayanyayen, edwin72000
59111Ugnayanpadilla, diomedes72000
6054ViscuaAbique, Jesus73744
6164Mahayahayfernandez, ramil76860
6282NagkakaisaAbanes, Emerita77520
6335MaunladFamoso, Agustina82000
64108Ugnayancaab, matio82770
6586NagkakaisaCaranza, Joseph87000
6656ViscuaAbique, Remy87890
67113Ugnayancamot, elpidio90000
6828MaunladJardin, Lamberto92360
6965Mahayahayloque, rene95560
7016ManingningDacillo, Generoso Jr.98544
715ManingningBaconga, Tranquilino99200
7218ManingningOab, Nexon99720
7358ViscuaBaquiran, Ihimenado100890
7479NagkakaisaCamena, Eulequio101000
7555ViscuaMagahis, Dominador102888
7613ManingningLagutan, reynaldo103000
77114Ugnayancamot, elmer103200
7876NagkakaisaDacillo, Virgilia103860
7941MaunladDagsan, Ernesto104000
802ManingningMontecillo, Rodel105100
8143MaunladMadamo, Yully107750
829ManingningDela Torre, Gregorio110000
83125Ugnayancaab, ernesto110800
8427ManingningGabasan, Nerwin110800
8517ManingningOab, andres115000
8648ViscuaBacuel, Carolina115600
8730MaunladDulgeme, Pedro120000
88112Ugnayanramilo, francisco121000
8946MaunladCabanes, Prudencio121110
90127NagkakaisaGabasan, Sixto123040
9122ManingningPaz, Pablito126500
9260Mahayahayopeder, moeses126549
9344MaunladAbian, Nerio126600
9424ManingningDionisio, Julius128000
9587NagkakaisaLlavan, Sergio Sr.130000
9691NagkakaisaYayen, Lope133860
9766Mahayahayello, felix136380
9831Maunladsolis, Bernabe140000
9951ViscuaAbique, William142000
1008ManingningGepella, Melchor148950
10184NagkakaisaTabarangao, Roger150000
10250ViscuaCastro, Roque150000
103115Ugnayandelos reyes, jaime150000
104126Ugnayansabenascio, oscar150000
10595NagkakaisaVicente, Danilo154600
10669Mahayahaycadlaon, rodolfo157875
10712ManingningCastro, Marcelo Jr.158500
10829MaunladJardin, Felizardo160284
109121Ugnayansabenacio, juanito165000
11068Mahayahaylegaspi, eddie169000
11134MaunladAlmoguerra, Eger170952
11226ManingningDejosco, Kenny173000
11377NagkakaisaComena, Eddie177060
11415ManingningOab, Prudente178000
115116Ugnayanbeloya, virgilio180000
11675NagkakaisaOab, Roman Sr.181280
11778NagkakaisaBacul, Senecio192000
11852ViscuaAmparo, Victor192000
1194ManingningDelos Santos, Arsenio198000
12040NagkakaisaAbian, rafael206500
12180NagkakaisaLabrador, Rodencion207000
12214ManingningTrinidad, Jose234200
12393NagkakaisaZabanal, Begesdes239976
12498Ugnayanllavan, elesio242000
12533MaunladMaceda, Jovencio325080
1263ManingningPacaldo, Juan333000
127100Ugnayanllavan, agustin809000
Totin
rankhcnpurokmname02totin02
1119Ugnayanpadilla, baltazar6400
289NagkakaisaBacuel, Pepe Sr.7800
3107Ugnayanyayen, romeo jr.13800
4118Ugnayantrepit, prodencio16800
5124Ugnayanyayen, romeo sr.16800
699Ugnayanmabutin, flaviano17600
7117Ugnayanpadilla, ricardo18000
885NagkakaisaLlavan, Rey18000
923ManingningLaguta, Renato26792
1081NagkakaisaSolis, Noel27100
1119ManingningZabanal, Victor27300
12122Ugnayanbinggon, manuel29800
1361MahayahayBadenas, Querubin30000
1472Mahayahayde gusman, noli30900
1545MaunladCabanes, Garciano32400
1649ViscuaNangit, Enrique33000
1762MahayahayLlavan, Baltazar33760
1847MaunladTabangay, Floresto35600
1936Maunladdacillo, Vicente35800
20109Ugnayancasuga, audy37300
21123Ugnayancasuga, aurelio37800
2263Mahayahayabanes, ronie37800
2359Mahayahaybesitulo, antonio37840
2439MaunladYayen, Elva41600
2542MaunladCabebe, Josie43200
26102Ugnayangaayono, eddie43400
2774NagkakaisaYayen, Nelson44400
28110Ugnayancaab, anasita47227
2921ManingningRefianco, Mamento49370
3070Mahayahaysubron, rubie51000
3132MaunladBadenas, Luorbar51520
3257ViscuaBaquiran, Reynan52000
33120Ugnayansabenacio, antero52200
3410ManingningPacaldo, Espectation53000
35105Ugnayandecio, rolly53000
36103Ugnayanbaconga, prescilia53800
3767MahayahayPolinar, Brexcio56000
3890NagkakaisaPefrianco, Domingo56800
3994NagkakaisaRaet, Reynaldo58900
4094Mahayahaymangaya, ricky59600
4183NagkakaisaAbus, Cherlito61600
4220ManingningLlauan, Alex62344
4388NagkakaisaBesitulo, Gerry65000
4425ManingningLaguna, Rolando65375
4511ManingningCamposano, alvin65800
4696NagkakaisaSolis, Welhim66940
4782NagkakaisaAbanes, Emerita67320
4854ViscuaAbique, Jesus67564
49101Ugnayanyayen, francisco68200
5037Maunladdacillo, Edgar73800
51111Ugnayanpadilla, diomedes73800
52104Ugnayanyayen, edgar77280
531ManingningBaconga, Reynaldo78250
5453ViscuaMondragon, Randy79800
55106Ugnayanyayen, edwin82600
56108Ugnayancaab, matio84330
5764Mahayahayfernandez, ramil85660
5835MaunladFamoso, Agustina86800
5956ViscuaAbique, Remy89690
6028MaunladJardin, Lamberto94160
6197Ugnayanabigue, francisco98000
6276NagkakaisaDacillo, Virgilia98880
6316ManingningDacillo, Generoso Jr.102744
6418ManingningOab, Nexon103320
6579NagkakaisaCamena, Eulequio103400
66113Ugnayancamot, elpidio103400
6765Mahayahayloque, rene103960
6855ViscuaMagahis, Dominador104328
69114Ugnayancamot, elmer105000
7058ViscuaBaquiran, Ihimenado105690
715ManingningBaconga, Tranquilino107600
722ManingningMontecillo, Rodel108100
7386NagkakaisaCaranza, Joseph110600
74125Ugnayancaab, ernesto112600
7543MaunladMadamo, Yully113750
7627ManingningGabasan, Nerwin114400
7741MaunladDagsan, Ernesto114800
787Maningningabela, Trinidad115600
7913ManingningLagutan, reynaldo118600
8092NagkakaisaBaconga, Rosendo119800
8117ManingningOab, andres121000
82112Ugnayanramilo, francisco121000
8346MaunladCabanes, Prudencio121110
8493NagkakaisaZabanal, Begesdes121668
8571Mahayahaycabillan, edwin121800
86127NagkakaisaGabasan, Sixto123040
8748ViscuaBacuel, Carolina124000
8822ManingningPaz, Pablito129500
8944MaunladAbian, Nerio130200
9024ManingningDionisio, Julius132200
9160Mahayahayopeder, moeses133364
9291NagkakaisaYayen, Lope139860
9366Mahayahayello, felix141180
9431Maunladsolis, Bernabe143600
9530MaunladDulgeme, Pedro144000
9651ViscuaAbique, William145600
9787NagkakaisaLlavan, Sergio Sr.148000
9869Mahayahaycadlaon, rodolfo148815
99115Ugnayandelos reyes, jaime150900
10084NagkakaisaTabarangao, Roger151200
101126Ugnayansabenascio, oscar151200
10229MaunladJardin, Felizardo151585
10338MaunladEstoce, Avelio151650
1049ManingningDela Torre, Gregorio153200
10550ViscuaCastro, Roque154800
10695NagkakaisaVicente, Danilo156400
1078ManingningGepella, Melchor157350
10812ManingningCastro, Marcelo Jr.164500
109121Ugnayansabenacio, juanito165600
11034MaunladAlmoguerra, Eger175272
11168Mahayahaylegaspi, eddie176200
11226ManingningDejosco, Kenny179000
113116Ugnayanbeloya, virgilio180900
11477NagkakaisaComena, Eddie181020
11515ManingningOab, Prudente181600
11675NagkakaisaOab, Roman Sr.183680
11778NagkakaisaBacul, Senecio192000
1184ManingningDelos Santos, Arsenio201600
11940NagkakaisaAbian, rafael210100
12052ViscuaAmparo, Victor216000
12114ManingningTrinidad, Jose244200
12298Ugnayanllavan, elesio245600
12380NagkakaisaLabrador, Rodencion250200
1246ManingningRadam, Felix295200
1253ManingningPacaldo, Juan335640
12633MaunladMaceda, Jovencio370680
127100Ugnayanllavan, agustin818600
Plots
quant
rowtypelevelvardim1dim2
QUANTNon-poorPOVSUB0.352-0.026
QUANTNon subsistent poorPOVSUB-0.60.759
QUANTPoorPOVSUB-1.007-0.476
QUANTWith members 6-16 years old not attending schoolNTSCH-1.003-1.284
QUANTAll members 6-16 years old attending schoolNTSCH-0.0690.501
QUANTWith underemployed memberW1UNDEMP-0.110.19
QUANTWith no underemployed memberW1UNDEMP1.547-2.101
QUANTWith illiterate memberW1NTLIT-1.133-1.103
QUANTAll members literateW1NTLIT0.3380.292
QUANTWith victims of crimeWVICT-0.6031.08
QUANTNo victims of crimeWVICT0.051-0.049
QUANTAll children 0-5 normalWMALN20.1540.247
QUANTWith children 0-5 1st degree malnourishedWMALN2-0.134-0.391
QUANTWith children 0-5 2nd degree malnourishedWMALN2-1.49-0.488
QUANTWith access to electricityWELEC1.804-0.227
QUANTWith no access to electricityWELEC-0.1430.017
QUANTComm water systemWATSRC44.214-3.768
QUANTDeep/artesian wellWATSRC40.6780.003
QUANTDug/shallow well, River, lake, otherWATSRC4-0.1790.066
QUANTWater sealed - ownedTOILF21.372-0.497
QUANTWater sealed - sharedTOILF21.0130.236
QUANTOpen/closed pitTOILF2-0.2230.475
QUANTNo toiletTOILF2-0.972-1.354
QUANTFormal tenureTENURE40.1660.016
QUANTOwn house, rent-free lotTENURE4-0.268-0.201
QUANTRent-free House and LotTENURE4-0.6190.254
quant
0
0
0
POVSUB
Dimension 1
Dimension 2
POVSUB
comp_full
Poverty Threshold ComputationEigenvalues - reduced 3
IndicatorLevelFrequencyDim 1Dim 2weightminweightpDimensionEigenvalue
WCHILDD2With child death2-0.49000179310.5525979787-1125.490-1125.4900.010.18954471410.4353673324
WCHILDD2With no child death68-0.03128981650.0947829436-71.870-1125.4901053.620.15718987970.3964717893
POVSUBNon-poor920.3549080372-0.0321714541815.192-2362.8113178.0
POVSUBNon subsistent poor15-0.59263047530.8323952574-1361.219-2362.8111001.6
-
Categorically Weighted Composite Indicator: Meaning of the Second Axis
-
Comparison between the Two MethodsAdvantages, Disadvantages and Utilization
-
Simple Scoring and Categorical Weighting: ComparisonSimple Scoring
Simple scoring is easier to adopt than the categorically weighted composite indicator as far as LGUs are concernedHowever, simple scoring does not utilize underlying discriminating nature of the indicatorsSimple scoring has an arbitrary set of weights and, hence, poverty ratesSimple weights do not change no matter how many indicators or population units are usedTies are among households are more probable
Categorically Weighted
Categorically weighted composite indicator using MCA utilizes the discriminating nature and associations of the indicators Has a constructive way of deriving weights and poverty thresholdsTies are among households are less probableMaybe difficult to be adoptedRelative weights are derived, thus, weights change depending on the dataset
-
Barangay Kemdeng: Uses of CBMSProvide crucial information to support planning and project implementation at the local levelsThe comparison and analysis of the two survey periods provides clear understanding of the development of the barangay
Allow the assessment, fine-tune or change programs and project to yield more desirable resultsData are very useful to target beneficiaries of programsThey are helpful to identify the poor
-
Barangay Kemdeng: Conclusions and RecommendationsThe comparative analysis of data from two CBMS surveys is a useful procedure in impact assessment of programsConcern for careful planning of projects at the local level, most specially at the barangay levelComposite indices are good tools for ranking households, however, further work is needed to be done in this area
Other results:
RankIDPurok
Household
Head
Simple
Composite
Poverty
Measure
174Nagkakaisa
Yayen,
Nelson
33.3
2122Ugnayan
Binggon,
Manuel
33.3
363Mahayahay
Abanes,
Ronie
35.7
4107Ugnayan
Yayen,
Romeo jr.
35.7
5117Ugnayan
Padilla,
Ricardo
41.7
632Maunlad
Badenas,
Luorbar
42.9
7119Ugnayan
Padilla,
Baltazar
45.5
Proportion in each decile of households with
children attending public school
75.0
80.0
85.0
90.0
95.0
100.0
1st2nd3rd4th5th6th7th8th9th10th
Per Capita Income Decile
Proportion
Employment Rate
89.7
100
96.1
78.2
92.3
100
94.9
88.2
0
10
20
30
40
50
60
70
80
90
100
Total IP Male Female
Proportion
2000
2002
Secondary school participation rates
among 12-15 year old children
30.6
0
35.5
25
27.3
0
30
24
0
5
10
15
20
25
30
35
40
Secondary IP Male Female
Proportion
2000
2002
Elementary school participation rates
among 6-11 years old children
80.8
40
80
81.8
76.6
28.6
75
78.7
0
10
20
30
40
50
60
70
80
90
Elementary IP Male Female
Proportion
2000
2002
Incidence of Poverty
64.4
83.3
45.9
33.3
27.6
40
15.7
40
0
10
20
30
40
50
60
70
80
90
100
Total IP Total IP
Proportion
2000
2002
School participation rates
among 6-16 year old children
82
33.3
82.4
81.6
87.3
45.5
87.5
87
0
10
20
30
40
50
60
70
80
90
100
Total IP Male Female
Proportion
2000
2002
Proportion of households with children
attending public school across deciles
8.5
9.0
9.5
10.0
10.5
11.0
11.5
1st2nd3rd4th5th6th7th8th9th10th
Per Capita Income Decile
Proportion
RankIDPurokHousehold Head
Simple
Composite
Poverty
Measure
11172MahayahayDe Gusman, Noli81.8
11221ManingningRefianco, Mamento81.8
11334MaunladAlmoguerra, Eger81.8
11493NagkakaisaZabanal, Begesdes81.8
115100Ugnayanllavan, agustin81.8
11678NagkakaisaBacul, Senecio83.3
11786NagkakaisaCaranza, Joseph84.6
11895NagkakaisaVicente, Danilo84.6
11954ViscuaAbique, Jesus84.6
12055ViscuaMagahis, Dominador84.6
12156ViscuaAbique, Remy84.6
12268Mahayahaylegaspi, eddie85.7
12338MaunladEstoce, Avelio85.7
12430MaunladDulgeme, Pedro90.9
125101Ugnayanyayen, francisco90.9
12680NagkakaisaLabrador, Rodencion92.3
12726ManingningDejosco, Kenny100
Simple Composite
Poverty measure
FrequencyProportionCumulative
>=30 to =40 to =50 to =60 to =70 to =80 to =90 to