Preliminary estimates for 2023 show that the region of Zamboanga Peninsula had the highest poverty incidence among families in the Philippines at 24.2 percent. In comparison, the National Capital Region (NCR) had the lowest poverty incidence among families during this period. Overall, the total poverty incidence of families in the Philippines was 10.9 percent.

Philippines Incidence of Poor Families: National Capital Region (NCR) data was reported at 2.700 % in 2015. This records an increase from the previous number of 2.600 % for 2012. Philippines Incidence of Poor Families: National Capital Region (NCR) data is updated yearly, averaging 4.100 % from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 21.600 % in 1988 and a record low of 2.100 % in 2003. Philippines Incidence of Poor Families: National Capital Region (NCR) data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H025: Family Income and Expenditure Survey: Poverty Statistics and Proportion of Poor Population: By Regions.

The poverty incidence among farmers in the Philippines was at **** percent in 2023, indicating a decrease from the previous year. The share of farmers belonging to families living below the official poverty threshold declined since 2015.

Philippines Per Capita Poverty Threshold: Central Luzon data was reported at 23,200.000 PHP in 2015. This records an increase from the previous number of 20,071.000 PHP for 2012. Philippines Per Capita Poverty Threshold: Central Luzon data is updated yearly, averaging 13,265.500 PHP from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 23,200.000 PHP in 2015 and a record low of 5,242.000 PHP in 1988. Philippines Per Capita Poverty Threshold: Central Luzon data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H025: Family Income and Expenditure Survey: Poverty Statistics and Proportion of Poor Population: By Regions.

Abstract

This study is an impact evaluation of the KALAHI-CIDSS (KC) program. The impact evaluation's key research questions can be divided into the following four themes:

1. Socio-Economic Effects: Does KC increase household consumption? Does KC increase labor force participation?
2. Governance Effects: Does KC increase government leader responsiveness to community needs? Does KC reduce corruption and increase transparency?
3. Community Empowerment Effects: Does KC increase participation in local governance? Does KC increase collective action and contribution to local public goods?
4. Social Capital Effects: Does KC build groups and networks? In what ways are these networks applied? Does KC enhance trust?

In order to isolate KC's effects, a randomized control trial evaluation design was chosen. The impact evaluation sample consists of 198 municipalities (with 33 to 69 percent poverty incidence), spread over 26 provinces and 12 regions. The 198 municipalities were paired based on similar characteristics (99 pairs) and then randomly assigned into treatment and control groups through public lotteries. The sample size is large enough to be able to detect MCC's projected eight percent change in household income as well as other smaller effects. As part of the impact evaluation, baseline quantitative data were collected in the study area from April to July 2012. The quantitative data came from 5,940 household surveys in 198 barangays (one from each municipality) and 198 barangay surveys implemented in these same barangays

Geographic coverage

National coverage: The sample consists of 5,940 households in 198 barangays in 198 municipalities in 26 provinces in 12 regions. The sample is representative of the KALAHI-CIDSS target population across the nation.

Analysis unit

Individuals, households, community

Universe

The study population consists of barangays (villages) from the Philippines' poorest provinces. Survey respondent were barangay captains (village captains) and randomly selected households (30 randomly selected per barangay) from the sample of 198 barangays (villages).

Kind of data

Sample survey data [ssd]

Sampling procedure

The impact evaluation focuses on municipalities with between 33-69% poverty incidence. A total of 198 eligible municipalities were matched on poverty incidence, population, land area, and number of barangays. The paired municipalities were then randomly assigned into treatment and control groups through public lotteries. This resulted in the final sample of 198 municipalities (when determining the number of treatment and control municipalities, we used sample size of 30 households per municipality, ensuring an 8% (positive) change in income would be detectable at 95% significance and 80% power). The large number of municipalities included in the evaluation will provide a sufficient level of precision to estimate KC's impacts nationwide in municipalities with a poverty incidence between 33-69%. One barangay within each of the 198 municipalities participating in the evaluation was randomly chosen, with a weighted probability favoring barangays with the highest poverty rates. Within each municipality, IPA divided barangays into quintiles based on poverty and dropped the quintile with the lowest poverty incidence. For each municipality, the barangay to be surveyed for the sample was then randomly selected from the remaining barangays. Within each barangay, 30 households were randomly selected from among all households to comprise the household surveyed sample.

Sampling deviation

N/A

Research instrument

The baseline study included a barangay (village) questionnaire and a household questionnaire implemented in the following four different languages: Tagalog, Bisaya, Cebuano, llongo and llocano.

1. Household questionnaire: This questionnaire was composed of modules on education, labor income sources, household assets and amenities, expenditures, social networks, and other topics.

2. Barangay questionnaire: The barangay captains (village leaders were the principal respondents. The questionnaire collected data on the barangay's development projects, budget, demographics, the relationship between the existing barangay captain and its previous leadership, and other topics.

Cleaning operations

In the field, the field supervisor and data editor checked the questionnaires before the first data entry. The survey firm then conducted the second data entry in the main office and then checked the discrepancies between the first and the second data entry. The data cleaning process implemented by the survey firm included the following: 1. Naming and labelling the data 2. Checking the unique identifiers 3. Range checks and setting variable bounds 4. Check skip patterns and misisng data 5. Check logical consistency 6. Standardize string variable coding

After receiving the clean datasets from the survey firm, IPA conducted a second stage of data cleaning needed to construct variables for the analysis. This process involved carefully creating, summarizing and cross-checking key indicators.

Response rate

100 percent

Sampling error estimates

N/A

The KALAHI-CIDSS program was set up in 2002 to alleviate rural poverty in the Philippines. It provides resources to poor rural municipalities to invest in public goods and by reviving local institutions to enhance people’s participation in governance. The project targeted the poorest 25 percent of municipalities in each of the poorest 42 provinces. The government of the Philippines committed $82 million to the project, which was complemented by a $100 million loan from the World Bank. As of December 2010, the project had covered 4,583 barangays (villages) in 200 municipalities and supported 5,645 subprojects, worth Php 5.7 billion and benefiting about 1.26 million households. The program's impact evaluation was designed in 2003 to evaluate general impacts on poverty reduction, social capital, empowerment, and governance. The team collected quantitative and qualitative data before, during, and after project implementation in a sample of KALAHI-CIDSS municipalities that received support ("treatment" municipalities) and from comparable municipalities that did not receive support ("control" municipalities). The quantitative baseline survey was carried out in September-October 2003, the quantitative midterm in October-November 2006 and the quantitative endline survey in February-March 2010. Data were collected on a broad range of indicators: service delivery (access to health, education), poverty (employment, per capita consumption, self-rated poverty), empowerment and governance (group membership, participation in barangay assemblies, collective action). The quantitative sample includes 2,400 households in 135 barangays in 16 municipalities in 4 provinces.

The province of Cebu topped the ranking of the wealthiest provinces in the Philippines, with assets amounting to approximately 310 billion Philippine pesos in 2023. Following by a large margin were the provinces of Rizal and Camarines Sur.