Based on preliminary results in 2023, the share of individuals in the Philippines with income below the poverty threshold was estimated at 15.5 percent, down from the estimate in 2021. In that year, the average per capita food threshold reached 23,000 Philippine pesos.

Based on preliminary results in 2023, the proportion of families in the Philippines with income below the poverty threshold was estimated at **** percent, lower than the estimate for 2018. In that year, the average per capita food threshold reached ****** Philippine pesos.

Historical dataset showing Philippines poverty rate by year from 1985 to 2023.

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.

Poverty headcount ratio at national poverty lines (% of population) in Philippines was reported at 15.5 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Poverty headcount ratio at national poverty line (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

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.

Poverty rate at $1.9 a day of Philippines plummeted by 34.57% from 8.10 % in 2021 to 5.30 % in 2023. Since the 7.41% surge in 2006, poverty rate at $1.9 a day sank by 79.69% in 2023. Population below $1.9 a day is the percentage of the population living on less than $1.9 a day at 2005 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.

In 2023, a family of five in the Philippines had a poverty threshold of a little 13,873 Philippine pesos per month. That was higher than the monthly poverty threshold in 2018, which amounted to around about 12,000 Philippine pesos.

Philippines Multidimensional Poverty Headcount Ratio: UNDP: % of total population data was reported at 5.800 % in 2017. Philippines Multidimensional Poverty Headcount Ratio: UNDP: % of total population data is updated yearly, averaging 5.800 % from Dec 2017 (Median) to 2017, with 1 observations. The data reached an all-time high of 5.800 % in 2017 and a record low of 5.800 % in 2017. Philippines Multidimensional Poverty Headcount Ratio: UNDP: % of total population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank.WDI: Social: Poverty and Inequality. The multidimensional poverty headcount ratio (UNDP) is the percentage of a population living in poverty according to UNDPs multidimensional poverty index. The index includes three dimensions -- health, education, and living standards.;Alkire, S., Kanagaratnam, U., and Suppa, N. (2023). ‘The global Multidimensional Poverty Index (MPI) 2023 country results and methodological note’, OPHI MPI Methodological Note 55, Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. (https://ophi.org.uk/mpi-methodological-note-55-2/);;

Based on preliminary results in 2023, it was estimated that there were about 17.54 million poor people in the Philippines, indicating a decrease from 20 million in 2021. In that year, the average per capita food threshold reached 23,000 Philippine pesos.

Abstract

Estimated at 10 to 20 percent of the 109 million population in Philippines, Indigenous Peoples (IPs) are among the poorest and most marginalized, although they live in regions with vast natural resources. The lack of representation of IPs in official surveys and administrative data prevents an accurate assessment of their living conditions and the socio-economic challenges they face. This silences their voice, obscures state accountability towards them, and limits their agency to take on a more active role in society. The few available data and anecdotal evidence reveal that IPs face important inequalities of opportunity in several human development dimensions, which are likely aggravated by the COVID-19 pandemic. However, the extent of these inequalities is not well understood, due to scant data and research on IPs. The lack of surveys with information on ethnicity has also made it difficult to examine the type and extent of inequalities among and within ethnic groups in the country, as well as the impact of intersectionality with gender, disability, and place of residence on their inclusion. This represents a significant challenge when creating public policy at the national level or poverty reduction programs at the local level, as IPs remain unnoticed, unaccounted for, and ultimately deprived of their rights and any real benefit.

Therefore, reliable data on IPs is urgently needed, particularly in this COVID-19 era where IPs can be disproportionately disadvantaged due to legacies of inequality and exclusion. Hence, to collect data and inform evidence-based policy/decision making to better target the needs of IPs, the World Bank commissioned this first ever IP-specific household (HH) survey in Philippines to Philippine Survey and Research Center, Inc. (PSRC).

The main objective of this quantitative household survey is to improve the current understanding about the Indigenous Peoples (IPs) population in the Philippines, and eventually, craft strategies when addressing inequality or representation of the group. Specifically, the study aims to: 1. Collect as much data and inform evidence-based policy/decision making to better target the needs of IPs; 2. Gauge a better view/understanding of the IPs’ poverty, socio-economic condition and the exercise of their rights; 3. Add current knowledge into the ongoing World Bank Advisory Services and Analytics on the Indigenous Peoples of the Philippines.

Geographic coverage

Selected IP areas in the Philippines

Analysis unit

Indigenous Peoples (IPs) and Non-Indigenous Peoples (NIPs) with the following specifications: • Male/Female • 18 years old and above

Kind of data

Sample survey data [ssd]

Sampling procedure

Stratified multi-stage area probability sampling was employed as follows: • Stratification: The sample was stratified by region and by locale (i.e., urban/rural) • First Stage: Independent random selection of PSUs (barangays) within the strata • Second Stage: Selection of SSUs (households) within the sampled PSUs

A household is defined as a social unit consisting of a person or a group of persons who sleep in the same housing unit and have a common arrangement in the preparation and consumption of food. Household is often comprised of individuals related by blood . Other members of households not related to the household head by blood such as helper, borders, and non relatives can be included as member of the household as long they prepare and consume food together and do not go home to the fa mily more than once in a week. The domain was the Philippines’ 17 administrative regions. Using the Indigenous Peoples (IP) household population from the 2020 Census, the following information were computed: • Proportion of IP household population from Census for each region • Proportion of each region out of total IP household population

To manage cost and timings, sampling coverage was focused on regions greater than or about 3% from both information above and IP household population of at least 250,000. The 2,400 sample was then split into these regions to arrive at the desired area cuts: • CAR • Other Selected Luzon Regions (Cagayan Valley, MIMAROPA) • Western Visayas • Other Mindanao Regions (Zamboanga Peninsula, Northern Mindanao, Davao, SOCCSKSARGEN, CARAGA) • BARMM

From the sample of 2,400, there were 240 PSUs across the 10 covered regions. The 240 PSUs covered were split proportionately across the 10 regions using the IP household population. The table below shows the sampling breakdown at regional level.

Mode of data collection

Face-to-face [f2f]

Research instrument

Available in the English language but conducted in either English or Tagalog

Response rate

To achieve 2,400 completed interviews, 12,131 households were approached/ knocked. Of the 12,131 households knocked, 2,273 refused, 3,028 gave no reply or door locked, and 4,430 were not eligible given the specific requirements that we were looking for. The response rate among eligible interviews is 51%. Response rate is higher in Luzon and lowest in Mindanao.

Based on preliminary results in 2023, it was estimated that there were about 0.74 million food poor families in the Philippines, indicating a significant decline from 1.04 million in 2021. In that year, the average per capita food threshold reached 23,000 Philippine pesos.

Based on preliminary results in 2023, it was estimated that there were about 4.84 million food poor people in the Philippines, indicating a decrease from 6.55 million in 2021. In that year, the average per capita food threshold reached 23,000 Philippine pesos.

Unemployment Rate in Philippines increased to 5.30 percent in July from 3.70 percent in June of 2025. This dataset provides - Philippines Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2023, a family of five in the Philippines had an estimated food threshold of about 9,581 Philippine pesos per month. That was higher than the monthly poverty threshold in 2015.

The raster dataset consists of a 500 m score grid for dairy processing industry facilities siting, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multi-criteria Decision Analysis for value chain infrastructure location.

The analysis is based on cattle production potential using proximity to cities and cattle density.

The score is achieved by processing sub-model outputs that characterize production, logistical, and socioeconomic factors.

1. Supply - Feed and livestock distribution.

2. Infrastructure - Transportation network (accessibility).

3. Philippines Statistics Authority 2023.

It consists of an arithmetic weighted sum of normalized grids (0 to 100):

(”Cattle Density” * 0.4) + (“Major Cities Accessibility” * 0.4) + (”Poverty” *0.2)

Data publication: 2024-07-29

Contact points:

Resource Contact: FAO-Data

Maintainer: Justeen De Ocampo

Data lineage:

FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets:

1. GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 and GLW 2) https://data.apps.fao.org/catalog/iso/47457a
2. OpenStreetMap.
3. Poverty - Philippines Statistics Authority 2023.

Resource constraints:

Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)

Online resources:

Zipped raster TIF file for Dairy Processing Location Score: Cattle (Philippines - ~ 500 m)

The number of poor farmers in the Philippines was estimated at *** million in 2023, or those belonging to poor families with a per capita income of less than the per capita poverty threshold. This was significantly lower than the estimated number in 2015.

The Gross Domestic Product (GDP) in Philippines expanded 5.50 percent in the second quarter of 2025 over the same quarter of the previous year. This dataset provides - Philippines GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

As of June 30, 2022, over 89 percent of detainees and sentenced individuals in prison cells in the Philippines were males while roughly 11 percent of them were females. During this same period, the prison population in the country amounted to over 131 thousand.

As of 2023, about 4.82 million hectares of land were dedicated to cultivating palay in the Philippines. The total land area used for growing palay in the country fluctuated within the given period of time, with 2023 recording the highest values.  How much does it cost to produce palay in the Philippines? The Philippines ranks high alongside countries such as China and India when it comes to rice consumption globally. Rice is a main staple for Filipinos, making this crop among the most important agricultural products produced by farmers in the country. On average, palay production costs in the Philippines amounted to about 54 Philippine pesos per hectare in 2022, with Cagayan Valley recording the highest production costs nationwide. Meanwhile, the cost of palay production per kilogram amounted to an average of 15 Philippine pesos in the same year. The cost of producing palay is attributed to factors such as the cost of planting materials, labor and transport costs, irrigation fees, as well as rental fees for land used.  Average wage rate on palay farms in the Philippines In 2019, the average wage rate on palay farms in the Philippines was highest in CALABARZON, amounting to around 357 Philippine pesos per day. The lowest average was recorded in the BARMM region with 213 Philippine pesos. Although no recent reports have been published regarding this, the poverty incidence of farmers in the country has gradually declined since 2015.