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.

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.

Avg Family Income: By Income Class and Family Size: Philippines 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. Avg Family Income: By Income Class and Family Size: Philippines 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. Avg Family Income: By Income Class and Family Size: Philippines 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.

Context

The Philippine Statistics Authority (PSA) spearheads the conduct of the Family Income and Expenditure Survey (FIES) nationwide. The survey, which is undertaken every three (3) years, is aimed at providing data on family income and expenditure, including, among others, levels of consumption by item of expenditure, sources of income in cash, and related information affecting income and expenditure levels and patterns in the Philippines.

Content

Inside this data set is some selected variables from the latest Family Income and Expenditure Survey (FIES) in the Philippines. It contains more than 40k observations and 60 variables which is primarily comprised of the household income and expenditures of that specific household

Acknowledgements

The Philippine Statistics Authority for providing the publisher with their raw data

Inspiration

Socio-economic classification models in the Philippines has been very problematic. In fact, not one SEC model has been widely accepted. Government bodies uses their own SEC models and private research entities uses their own. We all know that household income is the greatest indicator of one's socio-economic classification that's why the publisher would like to find out the following:

1) Best model in predicting household income 2) Key drivers of household income, we want to make the model as sparse as possible 3) Some exploratory analysis in the data would also be useful

As of June 2023, almost an equal share of e-commerce users in the Philippines belong to either high or low-income groups, according to the Statista Consumer Market Outlook. The remaining 30.6 percent of e-commerce consumers were medium-income earners.

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

According to a survey on consumer expectations in the fourth quarter of 2024, about 42 percent of households with savings in the Philippines were high-income earners. The share of households with savings fluctuated since 2020.

Ave Family Income: EC: Philippines: PhP 250,000 and over data was reported at 568,000.000 PHP in 2015. This records an increase from the previous number of 557,000.000 PHP for 2012. Ave Family Income: EC: Philippines: PhP 250,000 and over data is updated yearly, averaging 562,500.000 PHP from Dec 2012 (Median) to 2015, with 2 observations. The data reached an all-time high of 568,000.000 PHP in 2015 and a record low of 557,000.000 PHP in 2012. Ave Family Income: EC: Philippines: PhP 250,000 and over data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H019: Family Income and Expenditure Survey: Average Annual Income and Expenditure: By Expenditure Class.

Philippines Family Income: Total: IC: Annual: PhP 60,000 - 99,999 data was reported at 266,410,000.000 PHP th in 2015. This records a decrease from the previous number of 325,936,000.000 PHP th for 2012. Philippines Family Income: Total: IC: Annual: PhP 60,000 - 99,999 data is updated yearly, averaging 296,173,000.000 PHP th from Dec 2012 (Median) to 2015, with 2 observations. The data reached an all-time high of 325,936,000.000 PHP th in 2012 and a record low of 266,410,000.000 PHP th in 2015. Philippines Family Income: Total: IC: Annual: PhP 60,000 - 99,999 data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H016: Family Income and Expenditure Survey: Total Annual Income and Expenditure: By Income Class.

Philippines Family Income: Total: IC: Annual: PhP 100,000 - 249,999 data was reported at 1,671,854,000.000 PHP th in 2015. This records an increase from the previous number of 1,443,751,000.000 PHP th for 2012. Philippines Family Income: Total: IC: Annual: PhP 100,000 - 249,999 data is updated yearly, averaging 1,557,802,500.000 PHP th from Dec 2012 (Median) to 2015, with 2 observations. The data reached an all-time high of 1,671,854,000.000 PHP th in 2015 and a record low of 1,443,751,000.000 PHP th in 2012. Philippines Family Income: Total: IC: Annual: PhP 100,000 - 249,999 data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H016: Family Income and Expenditure Survey: Total Annual Income and Expenditure: By Income Class.

In 2017, IT-BPM industries engaged in customer relationship management activities in the Philippines generated income of 307.3 billion Philippine pesos, making it the highest earning industry sub-class in that year. On the other hand, sales and marketing (including telemarketing) generated income amounting to 65.7 billion Philippine pesos.

Philippines No. of Families: Annual: By Income Class (IC) 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. Philippines No. of Families: Annual: By Income Class (IC) data is updated yearly, averaging 22,078,000.000 Unit from Dec 2012 (Median) to 2015, with 2 observations. The data reached an all-time high of 22,730,000.000 Unit in 2015 and a record low of 21,426,000.000 Unit in 2012. Philippines No. of Families: Annual: By Income Class (IC) 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.

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.

Philippines Number of Families: Region VIII, Eastern Visayas data was reported at 976,000.000 Unit in 2015. This records an increase from the previous number of 902,000.000 Unit for 2012. Philippines Number of Families: Region VIII, Eastern Visayas data is updated yearly, averaging 752,683.500 Unit from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 976,000.000 Unit in 2015 and a record low of 598,521.000 Unit in 1988. Philippines Number of Families: Region VIII, Eastern Visayas 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.

In 2023, individual taxpayers contributed the highest tax revenue collection by the Bureau of Internal Revenue (BIR) in the Philippines, amounting to approximately 700 billion Philippine pesos. In comparison, tax revenue on value-added taxes amounted to around 475 billion Philippine pesos in that year.

Abstract

The 1997 Family Income and Expenditute Survey had the following 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;

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

2. to provide benchmark information to update weights in the estimation of consumer price index (CPI); and

3. to provide inputs in the estimation of the country's poverty threshold and incidence.

Geographic coverage

National coverage

Analysis unit

Household Consumption expenditure item Income by source

Universe

The 1997 FIES has as its target population, all households and members of households nationwide. A household is defined as an aggregate of persons, generally but not necessarily bound by ties of kinship, who live together under the same roof and eat together or share in common the household food. Household membership comprises the head of the household, relatives living with him such as his/her spouse, children, parent, brother/sister, son-in-law/daughter-in-law, grandson/granddaughter and other relatives. Household membership likewise includes boarders, domestic helpers and non-relatives. A person who lives alone is considered a separate household.

Institutional population is not within the scope of the survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design of the 1997 FIES adopted that of the Integrated Survey of Households (ISH). Starting July 1996, the sampling design of the ISH uses the new master sample design. The multi-stage sampling design of the master sample consists of 3,416 PSUs in the expanded sample for provincial level estimates with a sub-sample of 2,247 PSUs designated as the core master sample for regional levels estimates. The 1997 FIES was based on the expanded sample.

Domains The urban and rural areas of each province are the principal domains for the survey. In addition, areas with 150,000 or more population as of 1995 Census of Population (POPCEN) are also domains of the survey with rural and urban dimensions. The domains for the new master sample are similar to that of the previous ISH design with an addition of 23 newly created domains.

The multi-stage sampling design of the master sample involves the selection of the sample barangays for the first stage, selection of sample enumeration areas for the second stage, and the selection of sample households for the third stage in each stratum for every domain.

The frame for the first stage and second stages of sample selection were based mainly on the results of the 1995 POPCEN. The 1995 list of barangays with the household and population counts is used in the first stage of sample selection. The stratification of barangays included in the frame, however are based on the 1990 Census of Population and Housing (CPH) and other administrative reports from the field offices of NSO. An enumeration area (EA) is a physical delineated portion of the barangay. For barangays that were not divided into EAs, the barangay was treated as an EA.

The enumeration areas which constitutes the secondary sampling units are those that were formed during the 1995 POPCEN. The sample barangays were selected systematically with probability proportional to size from the list of barangays that were implicitly stratified.

The frame for the third stage of sample selection is the list of households from the 1995 POPCEN. The selection of sample households for the third stage was done systematically from the 1995 POPCEN List of Households.

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 E. 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 1997 FIES questionnaire contains about 800 data items and a guide for comparing income and expenditures. The questionnaires were subjected to a rigorous manual and machine edit checks for completeness, arithmetic accuracy, range validity and internal consistency.

The electronic data processing system developed since 1985 FIES by the Information System Development Section was used in processing the 1997 FIES with few modifications.

There were thirteen major steps in the machine processing 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. Identification verification extraction of summary file for preliminary results 9. Matching of visit records 10. Expansion 11. Tabulations 12. Generation of CPI weights 13. 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 office while the concluding steps were handled at the Central Office.

Response rate

The response rate for the 1997 FIES is 96.4%.

Sampling error estimates

As in all surveys, two types of non-response were encountered in the 1997 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.

Philippines Number of Families: Region IVA, CALABARZON data was reported at 3,251,000.000 Unit in 2015. This records an increase from the previous number of 3,082,000.000 Unit for 2012. Philippines Number of Families: Region IVA, CALABARZON data is updated yearly, averaging 2,406,000.000 Unit from Dec 2003 (Median) to 2015, with 5 observations. The data reached an all-time high of 3,251,000.000 Unit in 2015 and a record low of 2,185,000.000 Unit in 2003. Philippines Number of Families: 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.H014: Family Income and Expenditure Survey: No of Families: By Income Class and Main Source of Income.

Ave Family Exp: IC: Philippines: PhP 250,000 and over data was reported at 388,000.000 PHP in 2015. This records an increase from the previous number of 385,000.000 PHP for 2012. Ave Family Exp: IC: Philippines: PhP 250,000 and over data is updated yearly, averaging 386,500.000 PHP from Dec 2012 (Median) to 2015, with 2 observations. The data reached an all-time high of 388,000.000 PHP in 2015 and a record low of 385,000.000 PHP in 2012. Ave Family Exp: IC: Philippines: PhP 250,000 and over 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.

Abstract

The LFS aims to provide a quantitative framework for the preparation of plans and formulation of policies affecting the labor market. Specifically, the survey is designed to provide statistics on levels and trends of employment, unemployment and underemployment for the country as a whole, and for each of the administrative regions, including provinces and key cities.

Importance of LFS a. It provides a quantitative framework for the preparation of plans and formulation of policies affecting the labor market towards 1) creation and generation of gainful employment and livelihood opportunities 2) reduction of unemployment and promotion of employment 3) improvement of working conditions 4) enhancement of the welfare of a working man b. It provides statistics on levels and trends of employment and unemployment and underemployment for the country and regions; c. It is used for the projection of future manpower, which when compared with the future manpower requirements, will help identify employment and training needs; d. It helps in the assessment of the potential manpower available for economic development; and e. It identifies the differences in employment, unemployment, and underemployment according to the different economic, social and ethnic groups existing within the population.

Geographic coverage

The geographic coverage consists of the country's 17 administrative regions defined in Executive Order (EO) 36 and 131. The 17 regions are:

National Capital Region (NCR) Cordillera Administrative Region (CAR) Region I - Ilocos Region II - Cagayan Valley Region III - Central Luzon Region IV-A - CALABARZON Region IV-B - MIMAROPA Region V - Bicol Region VI - Western Visayas Region VII - Central Visayas Region VIII - Eastern Visayas Region IX - Zamboanga Peninsula Region X - Northern Mindanao Region XI - Davao Region XII - SOCCSKSARGEN Region XIII - Caraga Autonomous Region in Muslim Mindanao (ARMM)

Analysis unit

The unit of analysis is the Individual (Household survey).

Universe

The LFS has as its target population, all households and members of households nationwide. A household is defined as an aggregate of persons, generally but not necessarily bound by ties of kinship, who live together under the same roof and eat together or share in common the household food. Household membership comprises the head of the household, relatives living with him such as his or her spouse, children, parent, brother or sister, son-in-law or daughter-in-law, grandson or granddaughter, and other relatives. Household membership likewise includes boarders, domestic helpers and non-relatives. A person who lives alone is considered a separate household.

Since the reporting unit is the household, the statistics emanating from this survey will refer to the characteristics of the population residing in private households. Persons who reside in the institutions are not within the scope of the survey. Also excluded in the target population are households in the least accessible barangays (LABs). A barangay is classified as LAB if: (a) it requires more than eight hours walk from the last vehicle station; and/or, (b) the frequency of transportation is less than three times a week and the cost of a one-way trip is more than five hundred pesos. A total of 350 barangays were classified as LABs. This number accounts for only 0.83 percent of the total number of barangays in the country. The total number of households in these areas account for only 0.38 percent of the total number of households surveyed.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design of the LFS uses the sampling design of the 2003 Master Sample (MS) for Household Survey that started July 2003.

Sampling Frame As in previous household surveys, the 2003 MS used an area sample design. The Enumeration Area Reference File (EARF) of the 2000 Census of Population and Housing (CPH) was utilized as sampling frame. The EARF contains the number of households by enumeration area (EA) in each barangay.

With the conduct of the 2003 Listing of Households, the number of households of the selected sampled EA from the CPH EA lists were updated and the sample sizes that were initially generated where subsequently adjusted.

Stratification Scheme Prior to sample selection, the PSUs in each domain were stratified as follows: a) Proportion of strong houses (PSTRONG). PSTRONG is defined to be the percentage of housing units occupied by households that are classified as made of strong materials in terms of both the roof and outer walls, based on the data from the 2000 CPH. A roof is considered made of strong material if it is made of either galvanized iron, aluminum, concrete/clay tile, half galvanized-half concrete, or asbestos. The outer wall is considered made of strong material if it is made of concrete, brick, stone, wood, half concrete-half wood, galvanized iron, asbestos, glass. b) A variable labeled AGRI. An initial variable is an indicator variable computed at the barangay level. That variable has the value 1 if more than 50 percent of the households in the barangay are engaged in agriculture or fisheries and 0 otherwise, based on the 2000 CPH Barangay Schedule. To obtain a measure at the PSU level, a weighted average of the barangay indicator variable was computed for all the barangays within the PSU, weighted by the total number of households, in the barangay. Thus, the 1 value of AGRI at the PSU level lies between 0 and 1.

c) Per capita income (PER CAPITA). PERCAPITA is defined as the total income of the municipality divided by the total population in that municipality. Note that the PERCAPITA value of the PSUs is the same if the PSUs are in the same municipality. The municipal income used was the 2000 municipal income sourced from the De4partment of Finance. If the 2000 municipal income was not reported to the Bureau of Local Government Finance (BLGF), 2001 income was used. If no 2000 or 2001 municipal income was reported, the median income of the municipal class of the municipality was used.

Sample Selection

The sample design is an epsem in each region (Equal Probability Selection for each Member). Given the overall sample, the number of PSUs, EAs and Housing Units (HUs) were determined so that the epsem property within region was preserved.

The PSUs were selected with probability proportional to some estimated measure of size (PPES). Since PSUs vary considerably in size, PSUs were identified as certainty and non-certainty PSUs. Each PSU which was selected with certainty (selection probability is greater than 1) was treated as a separate stratum. In each certainty selection, sample EAs were selected with PPES in each sampled PSU; and housing units (HU) were selected with equal probability in each sampled EA.

A housing unit is structurally separate and independent place of abode which by the way it has been constructed, converted, or arranged, is intended for habitation by a household. It may contain more than one household. In the 2000 CPH, about two percent of the total household population consist of two or more households.

For non-certainty selection, PSUs were sampled from a set of strata defined for each domain. In each domain, these PSUs were grouped into strata by province, Highy Urbanized Cities (HUC) or Independent Component Cities (ICCs). To further improve on the precision of the estimates, PSUs within province/HU/ICC stratum were further stratified with respect to some socio-economic variables that were associated with poverty.

Within each selected PSUs, EAs were selected with probability proportional to size and households with equal probability within selected EAs.

In each HU, all households were selected. However, for operational considerations, only 3 households will be selected with equal probability in HU consisting of more than 3 households.

Sample Size

The 2003 Master Sample consist of a sample of 2,835 PSUs of which 330 were certainty PSUs and 2,505 were non certainty PSUs. The number of households for the 2000 CPH was used as measure of size. The entire MS was divided into four sub-sample or independent replicates, such as a quarter sample contains one fourth of the PSUs found in one replicate; a half-sample contains one-half of the PSUs in two replicates.

For the purpose of the master sample, the sample EAs selected with certainty were classified as sub-sample of replicate 0, and all the non-certainty PSUs were classified in any of the sub-samples 1, 2, 3 and 4.

Sampling deviation

Replacement of sample households is allowed only if the respondent to LFS cannot be contracted after 3 callbacks. If the sample household moved out from the sample barangay and can no longer be located then the replacement should be the household currently residing in the housing unit previously occupied by the original sample. If no household currently residing in the aforementioned housing unit then a replacement may be selected from among the neighbors who has the closest socio-economic and demographic characteristics as the original sample household. Household members who are identified as eligible respondents but cannot be interviewed should never be replaced.

Mode of data collection

Face-to-face [f2f]

Research instrument

• ISH FORM 2 is a four-page, forty five-column questionnaire that is being used in the quarterly rounds of the Laor Force Survey nationwide. This questionnaire gathers data on the demographic and economic characteristics of the population.
• On the first page of the questionnaire, the particulars about the geographic location, design codes and household auxiliary information of the sample

Philippines Family Income: Total: IC: Annual: PhP 40,000 - 59,999 data was reported at 46,104,000.000 PHP th in 2015. This records a decrease from the previous number of 71,530,000.000 PHP th for 2012. Philippines Family Income: Total: IC: Annual: PhP 40,000 - 59,999 data is updated yearly, averaging 58,817,000.000 PHP th from Dec 2012 (Median) to 2015, with 2 observations. The data reached an all-time high of 71,530,000.000 PHP th in 2012 and a record low of 46,104,000.000 PHP th in 2015. Philippines Family Income: Total: IC: Annual: PhP 40,000 - 59,999 data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H016: Family Income and Expenditure Survey: Total Annual Income and Expenditure: By Income Class.