According to a survey on personal finance conducted during the fourth quarter of 2024 in the Philippines, 44 percent of respondents stated that their household income increased in the last three months. In comparison, 16 percent of the respondents noted a decrease in household income in the same period.

Philippines PTE: PhP 60,000 - 99,999: Transportation data was reported at 3.900 % in 2015. This records a decrease from the previous number of 4.500 % for 2012. Philippines PTE: PhP 60,000 - 99,999: Transportation data is updated yearly, averaging 4.200 % from Dec 2012 (Median) to 2015, with 2 observations. The data reached an all-time high of 4.500 % in 2012 and a record low of 3.900 % in 2015. Philippines PTE: PhP 60,000 - 99,999: Transportation data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H026: Family Income and Expenditure Survey: Percentage Distribution of Family Expenditure: By Income Class.

In 2023, the average annual income of families in the Philippines increased to 353,230 Philippine pesos, indicating a significant growth from the 2021 average. In the same year, the average annual expenditure of families in the country was 258,050 Philippine pesos.

Philippines Average Family Income: By Income Class (IC): Annual data was reported at 267,000.000 PHP in 2015. This records an increase from the previous number of 235,000.000 PHP for 2012. Philippines Average Family Income: By Income Class (IC): Annual data is updated yearly, averaging 146,019.500 PHP from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 267,000.000 PHP in 2015 and a record low of 40,408.000 PHP in 1988. Philippines Average Family Income: By Income Class (IC): Annual data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H018: Family Income and Expenditure Survey: Average Annual Income and Expenditure: By Income Class.

The National Capital Region recorded the highest average annual family income in the Philippines, amounting to 513,520 Philippine pesos, according to preliminary figures for 2023. Meanwhile, the BARMM region had the average family income, with 206,880 Philippine pesos. Overall, the country's average annual family income was reported at approximately 353,230 Philippine pesos for that year.

According to a survey on consumer expectations in the fourth quarter of 2024, 34.3 percent of households in the Philippines stated they would allocate between five to nine of their income for savings. In comparison, about four percent of households said they allocated between 20 to 24 percent of their income for savings.

Average Family Income: Philippines: Two Persons data was reported at 192,000.000 PHP in 2015. This records an increase from the previous number of 167,000.000 PHP for 2012. Average Family Income: Philippines: Two Persons data is updated yearly, averaging 179,500.000 PHP from Dec 2012 (Median) to 2015, with 2 observations. The data reached an all-time high of 192,000.000 PHP in 2015 and a record low of 167,000.000 PHP in 2012. Average Family Income: Philippines: Two Persons data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H021: Family Income and Expenditure Survey: Average Annual Income: By Family Size and Income Group.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Manila. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Manila. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2022

In terms of income distribution across age cohorts, in Manila, the median household income stands at $153,028 for householders within the 25 to 44 years age group, followed by $63,815 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $39,951.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

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/.

Recommended for further research

This dataset is a part of the main dataset for Manila median household income by age. You can refer the same here

Philippines Average Family Income: Region IVA, CALABARZON data was reported at 312,000.000 PHP in 2015. This records an increase from the previous number of 284,000.000 PHP for 2012. Philippines Average Family Income: Region IVA, CALABARZON data is updated yearly, averaging 248,600.000 PHP from Dec 2003 (Median) to 2015, with 5 observations. The data reached an all-time high of 312,000.000 PHP in 2015 and a record low of 184,000.000 PHP in 2003. Philippines Average Family Income: Region IVA, 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.H020: Family Income and Expenditure Survey: Average Annual Income, Expenditure and Saving: By Region.

Philippines Incidence of Poor Population: CALABARZON data was reported at 9.100 % in 2015. This records a decrease from the previous number of 10.900 % for 2012. Philippines Incidence of Poor Population: CALABARZON data is updated yearly, averaging 11.900 % from Dec 1991 (Median) to 2015, with 7 observations. The data reached an all-time high of 22.700 % in 1991 and a record low of 9.100 % in 2015. Philippines Incidence of Poor Population: 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.

According to forecast data from Tellusant, 47.6 percent of the population in the Philippines in 2024 would earn at least the equivalent of the top 40 percent of global earners in 2022 constant purchasing power parity. Out of those 98.7 percent, 1.1 percent would earn the equivalent of the top 10 percent of global earners in 2022 constant purchasing power parity.

The National Capital Region (NCR) recorded the highest growth in the average annual family income in the Philippines between 2021 and 2023. The region recorded a 22.9 percent growth in that period. In contrast, the Cordillera Administrative Region (CAR) had the lowest average family income change at 2.5 percent.

According to a survey on personal finance conducted during the fourth quarter of 2024 in the Philippines, 79 percent of respondents stated that they expected their household income to increase in the next year. In contrast, six percent of respondents expected their household income to decrease.

Abstract

The 1994 Family Income and Expenditure Survey (FIES) is a nationwide survey of households undertaken by the National Statistics Office (NSO). Similar surveys were conducted in 1956-1957, 1961, 1965, 1971, 1975, 1979, 1985 and 1988. Like the previous surveys, this undertaking aims to accomplish the following primary objectives:

1. to gather data on family income and family living expenditures and related information affecting income and expenditure levels and patterns in the Philippines;

2. to determine the sources of income and income distribution, levels of living and spending patterns, and the degree of inequality among families;

3. to provide benchmark information to update weights for the estimation of consumer price index (CPI)

Geographic coverage

National coverage

Analysis unit

Household Consumption expenditure item Income by source

Universe

The 1994 FIES has as its target population, all households and members of households nationwide. Institutional population is not within the scope of the survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design of the 1994 FIES adopts that of the Integrated Survey of Households (ISH), which uses a stratified two-stage cluster sampling design. It is prepared by the National Economic and Development Authority (NEDA) Technical Committee on Survey Design and first implemented in 1984. It is the same sampling design used in the ISH modules starting in 1986.

The urban and rural areas of each province are the principal domains of the survey. In addition, the urban and rural areas of cities with a population of 150,000 or more as of 1990 are also made domains of the survey with rural and urban dimensions. These include the four cities and five municipalities of Metro Manila (Manila, Quezon City, Pasay and Caloocan; Valenzuela, Parañaque, Pasig, Marikina and Makati), and other key cities such as Baguio, Angeles, Cabanatuan, Olongapo, Batangas, Lipa, Lucena, San Pablo, Bacolod, Iloilo, Cebu, Mandaue, Zamboanga, Butuan, Cagayan de Oro, Davao, General Santos, and Iligan and key municipalities such as San Fernando, Pampanga and Tarlac, Tarlac.

Sampling Units and Sampling Frame The primary sampling units (PSUs) under the sample design are the barangays and the households within each sample barangay comprise the secondary sampling units (SSUs).

The frame from which the sample barangays are drawn is obtained from the 1990 Census of Population and Housing (CPH). Hence, all the approximately 40,000 barangays covered in the 1990 CPH are part of the primary sampling frame.

The sampling frame for the SSUs, that is, the households, is prepared by listing all households in each of the selected sample barangays. The listing operation is conducted regularly in the sample barangays to update the secondary sampling frame from where the sample households are selected.

Sample Size and Sampling Fraction The size of the sample is envisioned to meet the demand for fairly adequate statistics at the domain level. Taking this need into account and considering cost constraints as well, the decision reached is for a national sample of about 26,000 households.

In general, the sample design results in self-weighting samples within domains, with a uniform sampling fraction of 1:400 for urban and 1:600 for rural areas. However, special areas are assigned different sampling fractions so as to obtain "adequate" samples for each. Special areas refer to the urban and rural areas of a province or large city which are small relative to their counterparts.

Selection of Samples For the purpose of selecting PSUs, the barangay in each domain are arranged by population size (as of the 1990 Census of Population) in descending order and then grouped into strata of approximately equal sizes. Four independent PSUs are drawn with probability proportional to size with complete replacement.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire has five main parts consisting of the following: Part I. Identification and Other Information (Geographic Identification, Other Information and Particulars about the Family)

Part II. Expenditures and Other Disbursements Section A. Food, Alcoholic Beverages and Tobacco Section B. Fuel, Light and Water, Transportation and Communication, Household Operations Section C. Personal Care and Effects, Clothing Footwear and Other Wear Section D. Education, Recreation, and Medical Care Section E. Furnishings and Equipment Section F. Taxes Section G. Housing, House Maintenance and Minor Repairs Section H. Miscellaneous Expenditures Section I. Other Disbursements

Part III. Income Section A. Salaries and Wages from Employment Section B. Net Share of Crops, Fruits and Vegetables Produced and/or Livestock and Poultry Raised by Other Households Section C. Other Sources of Income Section D. Other Receipts Section F. Family Sustenance Activities

Part IV. Entrepreneurial Activities Section A1. Crop Farming and Gardening Section A2. Livestock and Poultry Raising Section A3. Fishing Section A4. Forestry and Hunting Section A5. Wholesale and Retail Section A6. Manufacturing Section A7. Community, Social, Recreational and Personal Services Section A8. Transportation, Storage and Communication Services Section A9. Mining and Quarrying Section A10. Construction Section A11. Entrepreneurial Activities Not Elsewhere Classified

Part V: Health - Care Section A. Health - care Expenditures Section B. Health Insurance

Cleaning operations

The 1994 FIES questionnaire contains about 800 data items and a guide for comparing income and expenditures and internal consistency.

Upon submission of the data diskettes containing first and second visit data, a summary file was extracted from the entire file through a computer program.

The questionnaires were further subjected to a rigorous manual and machine edit checks for completeness, arithmetic accuracy, range validity and internal consistency. Items failing any of the edit checks were either corrected automatically by the computer on the basis of pre-determined specifications or, when needed, examined in a clerical error-reconciliation operation.

The electronic data-processing (EDP) system developed by the NSO Data Processing Staff and used in the 1985 and 1988 FIES was generally adopted in processing the 1991 FIES with few modifications. There are thirteen (13) major steps in the machine processing of the 1991 FIES and these are as follows: 1. Data entry and verification 2. Structural editing (minor edit) 3. Edit list verification/correction 4. Update 5. Completeness check 6. Completeness check list verification/correction 7. Identification verification 8. Extraction of summary file for preliminary results 9. Matching of visit records (big edit) 10. Internal consistency checks (big edit) 11. Reject lists verification/correction 12. Update 13. Expansion 14. Tabulation 15. Generation of CPI weight tables 16. Variance analysis

Steps 1 to 8 were performed right after each visit while the remaining steps were carried out upon completion of the data collection for the first and second visits. Steps 1 to 7 were implemented at the regional offices. In addition, except for NCR, Region 3, 6, 7 and the province of Basilan, Sulu, Tawi-tawi and Zamboanga City which were handled by the Central Office. Steps 10 and 11 were likewise undertaken in the regional offices. The first passes of reject listings were sent to the regional offices for verification and correction/updates are sent back to the Central Office for data file updating. Meanwhile, steps 8, 9 and all the concluding steps were handles by the Central Office.

For data entry, IMPS (Integrated Microcomputer Processing System) was used.

Response rate

The response rate is the ratio of the total responding households to the total number of eligible households. Eligible households include households who were completely interviewed, refused to be interviewed or were temporarily away or not at home or on vacation during the survey period.

Sampling error estimates

As in all surveys, two types of non-response were encountered in the 1994 FIES: interview non-response and item non-response. Interview non-response refers to a sample household that could not be interviewed. Since the survey requires that the sample households be interviewed in both visits, households that transferred to another dwelling unit, temporarily away, on vacation, not at home, household unit demolished, destroyed by fire/typhoon and refusal to be interviewed in the second visit contributed to the number of interview non-response cases.

Item non-response, or the failure to obtain responses to particular survey items, resulted from factors such as respondents being unaware of the answer to a particular question, unwilling to provide the requested information or ENs' omission of questions during the interview. Deterministic imputation was done to address item nonresponse. This imputation is a process in which proper entry for a particular missing item was deduced from other items of the questionnaire where the non-response item was observed. Notes and remarks indicated in the questionnaire were likewise used as basis for imputation.

Concerning the three selected segments, the segment low income has the largest share of video streaming (SVoD) service users in the Philippines with 39.56 percent. Contrastingly, medium income is ranked last, with 20.88 percent. Their difference, compared to low income, lies at 18.68 percentage points. Find other insights concerning similar markets and segments, such as a ranking of subsegments in Poland regarding share in the segment Video Streaming (SVoD) and a ranking of subsegments in China regarding share in the segment Video Streaming (SVoD) . The Statista Market Insights cover a broad range of additional markets.

Philippines PH: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 11.700 % in 2021. This records a decrease from the previous number of 12.900 % for 2018. Philippines PH: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 15.850 % from Dec 2000 (Median) to 2021, with 8 observations. The data reached an all-time high of 17.100 % in 2006 and a record low of 11.700 % in 2021. Philippines PH: Proportion of People Living Below 50 Percent Of Median Income: % 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 percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

According to a 2020 survey among repatriated Filipino overseas workers (OFWs) during the coronavirus (COVID-19) pandemic, more than half of the respondents reported having a monthly income between 20,001 to 50 thousand Philippine pesos. Only three percent reported having a monthly income of more than 100 thousand Philippine pesos.

The Gross Domestic Product per capita in Philippines was last recorded at 3745.65 US dollars in 2023. The GDP per Capita in Philippines is equivalent to 30 percent of the world's average. This dataset provides - Philippines GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Poverty Incidence is the proportion of individuals with per capita income less than the poverty thresholds. Data on poverty is compiled by the Philippine Statistics Authority (PSA) which is made available every three (3) years. The main source of data used in coming out of the poverty estimates are the triennial Family Income and Expenditure Survey (FIES), quarterly Labour Force Survey (LFS) and Consumer Price Index (CPI), and the Annual Poverty Indicator Survey (APIS).

Philippines PTE: PhP 60,000 - 99,999: FE: FOils & Fats data was reported at 1.000 % in 2015. This records a decrease from the previous number of 1.100 % for 2012. Philippines PTE: PhP 60,000 - 99,999: FE: FOils & Fats data is updated yearly, averaging 1.050 % from Dec 2012 (Median) to 2015, with 2 observations. The data reached an all-time high of 1.100 % in 2012 and a record low of 1.000 % in 2015. Philippines PTE: PhP 60,000 - 99,999: FE: FOils & Fats data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H026: Family Income and Expenditure Survey: Percentage Distribution of Family Expenditure: By Income Class.