Philippines Number of Establishments in Operation: Large: CALABARZON data was reported at 818.000 Number in 2023. This records an increase from the previous number of 737.000 Number for 2022. Philippines Number of Establishments in Operation: Large: CALABARZON data is updated yearly, averaging 635.000 Number from Dec 1999 (Median) to 2023, with 25 observations. The data reached an all-time high of 818.000 Number in 2023 and a record low of 442.000 Number in 2002. Philippines Number of Establishments in Operation: Large: CALABARZON data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.S008: Number of Establishments: Micro, Small, & Medium Enterprises (MSMEs): by Region.

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.

The Hansen Global Forest Change version 1.7 datasets generated during and/or analysed during the current study are available in the earth engine partner’s website repository http://earthenginepartners.appspot.com/science-2013-global-forest. The datasets were developed by Hansen et al. (2013) in their paper "High-resolution global maps of 21st-century forest cover change". Science, 342 (6160), 850-853. https://doi.org/10.1126/science.1244693

The census of population in the Philippines, including the project populations, used in this study can be retrieved from the Philippine Statistics Authority (PSA) website https://psa.gov.ph/statistics/census/projected-population

The datasets were processed using an open source GIS software (QGIS version 3.16 Hannover) which can be downloaded from the QGIS website https://www.qgis.org/en/site/.

Philippines Net Enrolment Rate: Public & Private: Elementary: CAR data was reported at 92.180 % in 2015. This records a decrease from the previous number of 94.530 % for 2014. Philippines Net Enrolment Rate: Public & Private: Elementary: CAR data is updated yearly, averaging 96.575 % from Mar 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 100.150 % in 2011 and a record low of 92.180 % in 2015. Philippines Net Enrolment Rate: Public & Private: Elementary: CAR data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G028: Education Statistics: Net Enrolment Rate.

Philippines Average Family Exp: National Capital Region (NCR) data was reported at 349,000.000 PHP in 2015. This records an increase from the previous number of 325,000.000 PHP for 2012. Philippines Average Family Exp: National Capital Region (NCR) data is updated yearly, averaging 231,120.000 PHP from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 349,000.000 PHP in 2015 and a record low of 60,355.000 PHP in 1988. Philippines Average Family Exp: 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.H020: Family Income and Expenditure Survey: Average Annual Income, Expenditure and Saving: By Region.

Philippines GDP: Statistical Discrepancy data was reported at -26,306.918 PHP mn in Mar 2025. This records a decrease from the previous number of 43,268.910 PHP mn for Dec 2024. Philippines GDP: Statistical Discrepancy data is updated quarterly, averaging 3,807.010 PHP mn from Mar 1981 (Median) to Mar 2025, with 177 observations. The data reached an all-time high of 51,434.512 PHP mn in Dec 2021 and a record low of -57,283.062 PHP mn in Dec 2022. Philippines GDP: Statistical Discrepancy data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A001: PSNA 5th Revision: Gross Domestic Product: by Expenditure: Current Price.

Philippines Net Participation Rate: Public & Private:Secondary:Northern Mindanao data was reported at 59.530 % in 2012. This records an increase from the previous number of 54.460 % for 2011. Philippines Net Participation Rate: Public & Private:Secondary:Northern Mindanao data is updated yearly, averaging 54.460 % from Mar 2010 (Median) to 2012, with 3 observations. The data reached an all-time high of 59.530 % in 2012 and a record low of 54.360 % in 2010. Philippines Net Participation Rate: Public & Private:Secondary:Northern Mindanao data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G024: Education Statistics: Net Participation Rate.

Key information about Philippines population

• The Philippines population reached 109.0 million people in Dec 2020, compared with the previously reported figure of 101.0 million people in Dec 2015
• The data reached an all-time high of 109.0 million people in Dec 2020 and a record low of 18.6 million people in Dec 1950

Philippines TE: CI: Recreation, Entertainment & Cultural Services data was reported at 420.552 Person th in 2023. This records an increase from the previous number of 393.793 Person th for 2022. Philippines TE: CI: Recreation, Entertainment & Cultural Services data is updated yearly, averaging 302.635 Person th from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 420.552 Person th in 2023 and a record low of 227.050 Person th in 2020. Philippines TE: CI: Recreation, Entertainment & Cultural Services data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G049: Tourism Industry Employment.

Philippines Population: Projection: Census 2020: Age 5-9 data was reported at 8,777.187 Person th in 2055. This records a decrease from the previous number of 9,250.998 Person th for 2050. Philippines Population: Projection: Census 2020: Age 5-9 data is updated yearly, averaging 9,679.529 Person th from Jul 2020 (Median) to 2055, with 16 observations. The data reached an all-time high of 11,288.156 Person th in 2020 and a record low of 8,437.137 Person th in 2030. Philippines Population: Projection: Census 2020: Age 5-9 data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G002: Population: Census 2020: Projection.

Philippines Net Enrolment Rate: Public & Private: Elementary: Cagayan data was reported at 96.310 % in 2015. This records a decrease from the previous number of 96.320 % for 2014. Philippines Net Enrolment Rate: Public & Private: Elementary: Cagayan data is updated yearly, averaging 96.405 % from Mar 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 97.140 % in 2011 and a record low of 95.340 % in 2010. Philippines Net Enrolment Rate: Public & Private: Elementary: Cagayan data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G028: Education Statistics: Net Enrolment Rate.

Philippines Net Participation Rate: Public & Private: Secondary: Central Luzon data was reported at 75.470 % in 2012. This records an increase from the previous number of 72.830 % for 2011. Philippines Net Participation Rate: Public & Private: Secondary: Central Luzon data is updated yearly, averaging 74.340 % from Mar 2010 (Median) to 2012, with 3 observations. The data reached an all-time high of 75.470 % in 2012 and a record low of 72.830 % in 2011. Philippines Net Participation Rate: Public & Private: Secondary: 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.G029: Education Statistics: Net Participation Rate.

Philippines Production: Volume: Year to Date: Other Crops: Calamansi data was reported at 86.810 Metric Ton th in Sep 2018. This records an increase from the previous number of 33.240 Metric Ton th for Jun 2018. Philippines Production: Volume: Year to Date: Other Crops: Calamansi data is updated quarterly, averaging 45.930 Metric Ton th from Mar 1998 (Median) to Sep 2018, with 83 observations. The data reached an all-time high of 201.620 Metric Ton th in Dec 2007 and a record low of 13.810 Metric Ton th in Mar 1998. Philippines Production: Volume: Year to Date: Other Crops: Calamansi data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.B013: Production: Volume: Agriculture: ytd.

Philippines Net Enrolment Rate: Public & Private: Elementary: NCR data was reported at 88.130 % in 2015. This records a decrease from the previous number of 89.670 % for 2014. Philippines Net Enrolment Rate: Public & Private: Elementary: NCR data is updated yearly, averaging 94.090 % from Mar 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 98.440 % in 2011 and a record low of 88.130 % in 2015. Philippines Net Enrolment Rate: Public & Private: Elementary: 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.G023: Education Statistics: Net Enrolment Rate.

Philippines Imports: United States: Alaska data was reported at 0.000 USD mn in Apr 2018. This stayed constant from the previous number of 0.000 USD mn for Mar 2018. Philippines Imports: United States: Alaska data is updated monthly, averaging 0.000 USD mn from Jan 1991 (Median) to Apr 2018, with 328 observations. The data reached an all-time high of 7.425 USD mn in Mar 1993 and a record low of 0.000 USD mn in Apr 2018. Philippines Imports: United States: Alaska data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.JA019: Trade Statistics: Imports and Exports: Value: By Major Countries.

Philippines Per Capita Poverty Threshold: CALABARZON data was reported at 22,121.000 PHP in 2015. This records an increase from the previous number of 19,137.000 PHP for 2012. Philippines Per Capita Poverty Threshold: CALABARZON data is updated yearly, averaging 13,670.000 PHP from Dec 1991 (Median) to 2015, with 7 observations. The data reached an all-time high of 22,121.000 PHP in 2015 and a record low of 6,409.000 PHP in 1991. Philippines Per Capita Poverty Threshold: CALABARZON 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.

Philippines Net Participation Rate: Public & Private: Secondary: Cagayan data was reported at 70.210 % in 2012. This records an increase from the previous number of 66.900 % for 2011. Philippines Net Participation Rate: Public & Private: Secondary: Cagayan data is updated yearly, averaging 68.660 % from Mar 2010 (Median) to 2012, with 3 observations. The data reached an all-time high of 70.210 % in 2012 and a record low of 66.900 % in 2011. Philippines Net Participation Rate: Public & Private: Secondary: Cagayan data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G029: Education Statistics: Net Participation Rate.

Number of Families: Philippines - All Income Classes data was reported at 22,730,000.000 Unit in 2015. This records an increase from the previous number of 21,426,000.000 Unit for 2012. Number of Families: Philippines - All Income Classes data is updated yearly, averaging 15,874,827.500 Unit from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 22,730,000.000 Unit in 2015 and a record low of 10,533,925.000 Unit in 1988. Number of Families: Philippines - All Income Classes data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H014: Family Income and Expenditure Survey: No of Families: By Income Class and Main Source of Income.

Philippines Net Participation Rate: Public & Private: Secondary: Mimaropa data was reported at 68.940 % in 2012. This records an increase from the previous number of 62.550 % for 2011. Philippines Net Participation Rate: Public & Private: Secondary: Mimaropa data is updated yearly, averaging 62.780 % from Mar 2010 (Median) to 2012, with 3 observations. The data reached an all-time high of 68.940 % in 2012 and a record low of 62.550 % in 2011. Philippines Net Participation Rate: Public & Private: Secondary: Mimaropa data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G024: Education Statistics: Net Participation Rate.

Philippines Net Enrolment Rate: Public & Private: Elementary: Soccsksargen data was reported at 87.720 % in 2015. This records a decrease from the previous number of 88.220 % for 2014. Philippines Net Enrolment Rate: Public & Private: Elementary: Soccsksargen data is updated yearly, averaging 88.255 % from Mar 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 90.440 % in 2011 and a record low of 87.160 % in 2013. Philippines Net Enrolment Rate: Public & Private: Elementary: Soccsksargen data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G023: Education Statistics: Net Enrolment Rate.