The total population in Philippines was estimated at 112.9 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Philippines Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2024, the total population of the Philippines was at approximately 113.2 million inhabitants. For the foreseeable future, the Filipino population is expected to increase slightly, despite a current overall downward trend in population growth. The dwindling Filipino population For now, the population figures in the Philippines still show a steady increase and the country is still one of the most densely populated countries in the Asia-Pacific region, however, all signs point to a decline in the number of inhabitants in the long run: Just like the population growth rate, the country’s fertility rate, for example, has also been decreasing for years now, while the death rate has been increasing simultaneously.   Poor healthcare to blame One of the reasons for the downward trend is the aging population; fewer babies are born each year, while life expectancy at birth has been steady over the years. Another reason is poor healthcare in the country: The Philippines have a high tuberculosis incidence rate, a highly infectious disease, and are among the countries with a high probability of death from noncommunicable diseases as well.

Abstract

The 2022 Philippines National Demographic and Health Survey (NDHS) was implemented by the Philippine Statistics Authority (PSA). Data collection took place from May 2 to June 22, 2022.

The primary objective of the 2022 NDHS is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the NDHS collected information on fertility, fertility preferences, family planning practices, childhood mortality, maternal and child health, nutrition, knowledge and attitudes regarding HIV/AIDS, violence against women, child discipline, early childhood development, and other health issues.

The information collected through the NDHS is intended to assist policymakers and program managers in designing and evaluating programs and strategies for improving the health of the country’s population. The 2022 NDHS also provides indicators anchored to the attainment of the Sustainable Development Goals (SDGs) and the new Philippine Development Plan for 2023 to 2028.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual
• Children age 0-5
• Woman age 15-49

Universe

The survey covered all de jure household members (usual residents), all women aged 15-49, and all children aged 0-4 resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling scheme provides data representative of the country as a whole, for urban and rural areas separately, and for each of the country’s administrative regions. The sample selection methodology for the 2022 NDHS was based on a two-stage stratified sample design using the Master Sample Frame (MSF) designed and compiled by the PSA. The MSF was constructed based on the listing of households from the 2010 Census of Population and Housing and updated based on the listing of households from the 2015 Census of Population. The first stage involved a systematic selection of 1,247 primary sampling units (PSUs) distributed by province or HUC. A PSU can be a barangay, a portion of a large barangay, or two or more adjacent small barangays.

In the second stage, an equal take of either 22 or 29 sample housing units were selected from each sampled PSU using systematic random sampling. In situations where a housing unit contained one to three households, all households were interviewed. In the rare situation where a housing unit contained more than three households, no more than three households were interviewed. The survey interviewers were instructed to interview only the preselected housing units. No replacements and no changes of the preselected housing units were allowed in the implementing stage in order to prevent bias. Survey weights were calculated, added to the data file, and applied so that weighted results are representative estimates of indicators at the regional and national levels.

All women age 15–49 who were either usual residents of the selected households or visitors who stayed in the households the night before the survey were eligible to be interviewed. Among women eligible for an individual interview, one woman per household was selected for a module on women’s safety.

For further details on sample design, see APPENDIX A of the final report.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Two questionnaires were used for the 2022 NDHS: the Household Questionnaire and the Woman’s Questionnaire. The questionnaires, based on The DHS Program’s model questionnaires, were adapted to reflect the population and health issues relevant to the Philippines. Input was solicited from various stakeholders representing government agencies, academe, and international agencies. The survey protocol was reviewed by the ICF Institutional Review Board.

After all questionnaires were finalized in English, they were translated into six major languages: Tagalog, Cebuano, Ilocano, Bikol, Hiligaynon, and Waray. The Household and Woman’s Questionnaires were programmed into tablet computers to allow for computer-assisted personal interviewing (CAPI) for data collection purposes, with the capability to choose any of the languages for each questionnaire.

Cleaning operations

Processing the 2022 NDHS data began almost as soon as fieldwork started, and data security procedures were in place in accordance with confidentiality of information as provided by Philippine laws. As data collection was completed in each PSU or cluster, all electronic data files were transferred securely via SyncCloud to a server maintained by the PSA Central Office in Quezon City. These data files were registered and checked for inconsistencies, incompleteness, and outliers. The field teams were alerted to any inconsistencies and errors while still in the area of assignment. Timely generation of field check tables allowed for effective monitoring of fieldwork, including tracking questionnaire completion rates. Only the field teams, project managers, and NDHS supervisors in the provincial, regional, and central offices were given access to the CAPI system and the SyncCloud server.

A team of secondary editors in the PSA Central Office carried out secondary editing, which involved resolving inconsistencies and recoding “other” responses; the former was conducted during data collection, and the latter was conducted following the completion of the fieldwork. Data editing was performed using the CSPro software package. The secondary editing of the data was completed in August 2022. The final cleaning of the data set was carried out by data processing specialists from The DHS Program in September 2022.

Response rate

A total of 35,470 households were selected for the 2022 NDHS sample, of which 30,621 were found to be occupied. Of the occupied households, 30,372 were successfully interviewed, yielding a response rate of 99%. In the interviewed households, 28,379 women age 15–49 were identified as eligible for individual interviews. Interviews were completed with 27,821 women, yielding a response rate of 98%.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors and (2) sampling errors. Nonsampling errors are the results of mistakes made in implementing data collection and in data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2022 Philippines National Demographic and Health Survey (2022 NDHS) to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2022 NDHS is only one of many samples that could have been selected from the same population, using the same design and identical size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95% of all possible samples of identical size and design.

If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2022 NDHS sample was the result of a multistage stratified design, and, consequently, it was necessary to use more complex formulas. Sampling errors are computed in SAS using programs developed by ICF. These programs use the Taylor linearization method to estimate variances for survey estimates that are means, proportions, or ratios. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.

A more detailed description of estimates of sampling errors are presented in APPENDIX B of the survey report.

Data appraisal

Data Quality Tables

• Household age distribution
• Age distribution of eligible and interviewed women
• Age displacement at age 14/15
• Age displacement at age 49/50
• Pregnancy outcomes by years preceding the survey
• Completeness of reporting
• Observation of handwashing facility
• School attendance by single year of age
• Vaccination cards photographed
• Population pyramid
• Five-year mortality rates

See details of the data quality tables in Appendix C of the final report.

In 2024, children below 15 years old accounted for **** percent of the total population in the Philippines. The population share of children in the country has been declining over the past decade.

As of July 2024, Region 4-A had the largest population in the Philippines, with approximately 17 million inhabitants. This was followed by the National Capital Region (NCR), with a population of 14 million.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Philippines data available from WorldPop here. Data and Resources TIFF Philippines - Population density (2015) DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid...

Historical dataset showing total population for Philippines by year from 1950 to 2025.

Key information about Philippines population

• The Philippines population reached 112.7 million people in Dec 2024, compared with the previously reported figure of 109.0 million people in Dec 2020
• The data reached an all-time high of 112.7 million people in Dec 2024 and a record low of 18.6 million people in Dec 1950

In 2023, the annual population growth in the Philippines was 0.81 percent. Between 1961 and 2023, the figure dropped by 2.37 percentage points, though the decline followed an uneven course rather than a steady trajectory.

Philippines PH: Population Projection: Mid Year data was reported at 155,380,252.000 Person in 2050. This records an increase from the previous number of 154,083,502.000 Person for 2049. Philippines PH: Population Projection: Mid Year data is updated yearly, averaging 76,451,531.000 Person from Jun 1950 (Median) to 2050, with 101 observations. The data reached an all-time high of 155,380,252.000 Person in 2050 and a record low of 21,131,264.000 Person in 1950. Philippines PH: Population Projection: Mid Year data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Philippines – Table PH.US Census Bureau: Demographic Projection.

Actual value and historical data chart for Philippines Rural Population Percent Of Total Population

The population density in the Philippines amounted to 382.21 people in 2022. In a steady upward trend, the population density rose by 285.67 people from 1961.

Graph and download economic data for Population, Total for Philippines (POPTOTPHA647NWDB) from 1960 to 2024 about Philippines and population.

In 1800, the population of the islands which make up the territory of the Philippines had a population of approximately 1.89 million. The population of the archipelago would grow steadily throughout the 19th century, reaching almost 6.5 million people by 1900. However, the population would begin to rise much more rapidly following the country’s independence from the United States in 1946, as post-war economic aid from the United States and expansive modernization projects by the Philippine government would lead to a significant rise in standards of living and result in a post-war baby boom. This growth would remain steady well into the 21st century, and while the rate of population growth has fallen somewhat in recent years, the population of the Philippines is expected to continue its increase in the coming years, and in 2020, the Philippines is estimated to have a population of just under 110 million, which is almost twelve times larger than the Philippines' population in 1920.

Actual value and historical data chart for Philippines Population Density People Per Sq Km

UNICEF's country profile for Philippines , including under-five mortality rates, child health, education and sanitation data.

Philippines PH: Population: Growth data was reported at 1.535 % in 2017. This records a decrease from the previous number of 1.564 % for 2016. Philippines PH: Population: Growth data is updated yearly, averaging 2.616 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 3.345 % in 1960 and a record low of 1.535 % in 2017. Philippines PH: Population: Growth 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: Population and Urbanization Statistics. Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

About this dataset

Context

This list ranks the 50 states in the United States by Filipino population, as estimated by the United States Census Bureau. It also highlights population changes in each state over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Filipino Population: This column displays the rank of state in the United States by their Filipino population, using the most recent ACS data available.
• State: The State for which the rank is shown in the previous column.
• Filipino Population: The Filipino population of the state is shown in this column.
• % of Total State Population: This shows what percentage of the total state population identifies as Filipino. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total United States Filipino Population: This tells us how much of the entire United States Filipino population lives in that state. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Philippines Population: Region III : Central Luzon data was reported at 11,218.177 Person th in 2015. This records an increase from the previous number of 10,137.737 Person th for 2010. Philippines Population: Region III : Central Luzon data is updated yearly, averaging 7,648.467 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 11,218.177 Person th in 2015 and a record low of 3,911.863 Person th in 1975. Philippines Population: Region III : 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.G001: Population: Census 2010.

Philippines Population: NCR: Quezon City data was reported at 2,936.116 Person th in 2015. This records an increase from the previous number of 2,761.720 Person th for 2010. Philippines Population: NCR: Quezon City data is updated yearly, averaging 2,081.625 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 2,936.116 Person th in 2015 and a record low of 956.864 Person th in 1975. Philippines Population: NCR: Quezon City data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G001: Population: Census 2010.