Philippines Percentage to Total Expenditure (PTE): Food Expenditure (FE) data was reported at 41.900 % in 2015. This records a decrease from the previous number of 42.800 % for 2012. Philippines Percentage to Total Expenditure (PTE): Food Expenditure (FE) data is updated yearly, averaging 42.800 % from Dec 1997 (Median) to 2015, with 7 observations. The data reached an all-time high of 44.200 % in 1997 and a record low of 41.400 % in 2006. Philippines Percentage to Total Expenditure (PTE): Food Expenditure (FE) 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.

The out-of-pocket (OOP) payments of households in the Philippines accounted for **** percent of the current health expenditure in 2024. This indicated a downward trend from 2014, with a minimal fluctuation in 2022.

Household spending on domestic tourism in the Philippines gradually increased after the slump caused by the COVID-19 pandemic. In 2024, this accounted for about **** percent of the household final consumption expenditure, compared to just **** percent in 2020. Post-COVID tourism situation The COVID-19 pandemic has affected the tourism sector in the Philippines. Travel restrictions have been imposed to stop international travelers from entering the country to mitigate the spread of the virus. While international tourist arrivals significantly improved in 2024, the volume of travelers remained much lower than the pre-pandemic volume. Manila was also the main point of entry for international travelers coming to the Philippines, followed by Cebu. Outlook of the Philippines’ domestic tourism sector The post-pandemic travel scenario has shown drastic improvements, not only in terms of passenger traffic but also from travelers’ perspectives. In the Philippines, a 2022 survey revealed that the increased price of traveling alongside health and safety-related issues were their main travel concerns. Meanwhile, among those who expressed a desire to travel in that year, most of them are traveling for leisure or holiday.

Households and NPISHs Final consumption expenditure (annual % growth) in Philippines was reported at 4.8574 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Household final consumption expenditure (annual % growth) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The household final consumption expenditure in the Philippines was valued at approximately 16.12 trillion Philippine pesos in 2024, the highest during the observed period. Household final consumption expenditure refers to expenses incurred by households on basic goods and services such as food and beverages, education, housing, and health.

Philippines PH: Proportion of Population Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure: % data was reported at 1.415 % in 2015. This records an increase from the previous number of 1.294 % for 2012. Philippines PH: Proportion of Population Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure: % data is updated yearly, averaging 0.975 % from Dec 1997 (Median) to 2015, with 7 observations. The data reached an all-time high of 1.415 % in 2015 and a record low of 0.613 % in 2000. Philippines PH: Proportion of Population Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure: % 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: Poverty. Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure, expressed as a percentage of a total population of a country; ; Wagstaff et al. Progress on catastrophic health spending: results for 133 countries. A retrospective observational study, Lancet Global Health 2017.; Weighted Average;

According to a 2023 survey by Rakuten Insight on inflation in the Philippines, the majority of respondents indicated that their ability to pay for basic necessities such as food, clothing, healthcare was affected by inflation. Meanwhile, around ** percent of survey participants said they were unable to save due to inflation.

Households and NPISHs final consumption expenditure (% of GDP) in Philippines was reported at 76.15% in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Households and NPISHs final consumption expenditure (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Households and NPISHs Final consumption expenditure per capita growth (annual %) in Philippines was reported at 3.9952 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Household final consumption expenditure per capita growth (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Philippines Share to Family Expenditure (SFE): Food & Non-Alcoholic Beve (FN) data was reported at 40.930 % in 2023. This records a decrease from the previous number of 42.620 % for 2021. Philippines Share to Family Expenditure (SFE): Food & Non-Alcoholic Beve (FN) data is updated yearly, averaging 42.550 % from Dec 2018 (Median) to 2023, with 3 observations. The data reached an all-time high of 42.620 % in 2021 and a record low of 40.930 % in 2023. Philippines Share to Family Expenditure (SFE): Food & Non-Alcoholic Beve (FN) data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H023: Family Income and Expenditure Survey: 2023 Master Sample: Percentage Distribution of Family Expenditure.

Philippines PTE: Under PhP 40,000: Furnishings & Routine Household Maintenance data was reported at 2.200 % in 2015. This records an increase from the previous number of 2.000 % for 2012. Philippines PTE: Under PhP 40,000: Furnishings & Routine Household Maintenance data is updated yearly, averaging 2.100 % from Dec 2012 (Median) to 2015, with 2 observations. The data reached an all-time high of 2.200 % in 2015 and a record low of 2.000 % in 2012. Philippines PTE: Under PhP 40,000: Furnishings & Routine Household Maintenance 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.

Zamboanga Peninsula registered the highest percentage change in the average annual family expenditure in the Philippines between 2021 and 2023. In that period, families in that region had an average annual expenditure growth of 20.8 percent. Overall, the average annual expenditure of Filipino families significantly increased in this period.

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.

Philippines PTE: PhP 100,000 - 249,999: Furnishing&Routine Household Maintenance data was reported at 1.900 % in 2015. This records a decrease from the previous number of 2.100 % for 2012. Philippines PTE: PhP 100,000 - 249,999: Furnishing&Routine Household Maintenance data is updated yearly, averaging 2.000 % from Dec 2012 (Median) to 2015, with 2 observations. The data reached an all-time high of 2.100 % in 2012 and a record low of 1.900 % in 2015. Philippines PTE: PhP 100,000 - 249,999: Furnishing&Routine Household Maintenance 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.

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.

Abstract

The 2000 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. t o 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 2000 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 2000 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 sample barangays in the expanded sample for provincial level estimates with a sub-sample of 2,247 Primary Sampling Units (PSUs) designated as core master sample for regional level estimates. The 2000 FIES was based on the expanded sample.

1. Domains: 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 urban and rural areas of cities and municipalities with a population of 150,000 or more are considered as separate domains. The other urban and rural areas in each of the 77 provinces are likewise treated as separate domains. In view of the creation of ARMM and the separation of Marawi City and Cotabato City from Lanao del Sur and Maguindanao, respectively, the urban and rural areas of the two cities also form separate domains.

2. Sampling Units: 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 and second stages of sample selection was based mainly on the results of the 1995 Census of Population (POPCEN). The 1995 POPCEN 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 field offices of the 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 constitute the secondary stage 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.

Isolated barangays and/or barangays that are difficult and expensive to reach are excluded from the sampling frame. However, critical areas or barangays with peace and order problem, which is generally temporary in nature, are included in the frame.

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

Mode of data collection

Face-to-face [f2f]

Research instrument

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

Part II. Expenditures 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 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

A guide for comparing disbursements against receipts is found on the last page.

The general design of the questionnaire also includes codes inside the box usually located at the top of the framed questions. These codes are for automatic data processing purposes. Ignore them during the interview process. Take note that the paging of the questionnaire is located outside the frame on each page.

Cleaning operations

The 2000 FIES questionnaire contains about 800 data items and a summary 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 major steps in the machine processing are as follows: 1. Data entry 2. Structural, Range Edit and Consistency Edit (Minor Edit) 3. Completeness Check 4. Matching of visit records 5. Generation of the Binary file 6. Consistency and Macro Edit (Big Edit) 7. Expansion 8. Tabulation 9. Generation of CPI 10. Variance Analysis 11. Generation of the Public Use File (PUF)

Steps 1 to 3 were done right after each visit. The remaining steps were carried out only after the second visit had been completed.

Steps 1 to 6 were done at the Regional Office where Steps 4-6 were accomplished only after finishing the second visit. Steps 7 to 11 were completed in the Central Office.

After completing Steps 1 to 6, data files were transmitted to the Central Office where a summary file was generated. The summary file was used to produce the consistency tables as well as the preliminary and textual tables.

Where the generated tables showed inconsistencies, selected data items were subjected to further scrutiny and validation. The cycle of generation of consistency tables and data validation were done until questionable data items were verified.

Innovations for the 2000 FIES machine processing were carried out by the Information Technology System and Research Division of the NSO by introducing the FIES Integrated Processing System (FIPS). This is a Windows application system which facilitated data encoding, completeness and validity check.

The 2000 FIES machine processing was further enhanced using an interactive Windows-based system named FAME (FIES computer-Aided Consistency and Macro Editing). The interactive module of FAME enabled the following activities to be done simultaneously: a) Matching of visit records b) Generation of Binary files c) Consistency and Macro Edit (Big Edit) d) Range Check

The improved system minimized processing time as well as minimized, if not eliminated the need for paper to generate the reject listing.

Response rate

The response rate for the 2000 FIES is 96.6%

Philippines PTE: PhP 250,000 & over: Furnishings & Routine Household Maintenance data was reported at 2.800 % in 2015. This records a decrease from the previous number of 3.300 % for 2012. Philippines PTE: PhP 250,000 & over: Furnishings & Routine Household Maintenance data is updated yearly, averaging 3.050 % from Dec 2012 (Median) to 2015, with 2 observations. The data reached an all-time high of 3.300 % in 2012 and a record low of 2.800 % in 2015. Philippines PTE: PhP 250,000 & over: Furnishings & Routine Household Maintenance 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.

Philippines PTE: Furnishings & Routine Household Maintenance data was reported at 2.500 % in 2015. This records a decrease from the previous number of 2.800 % for 2012. Philippines PTE: Furnishings & Routine Household Maintenance data is updated yearly, averaging 2.300 % from Dec 1997 (Median) to 2015, with 7 observations. The data reached an all-time high of 2.800 % in 2012 and a record low of 2.200 % in 2003. Philippines PTE: Furnishings & Routine Household Maintenance 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.

Philippines PTE: Clothing & Footwear data was reported at 2.400 % in 2015. This stayed constant from the previous number of 2.400 % for 2012. Philippines PTE: Clothing & Footwear data is updated yearly, averaging 2.400 % from Dec 1997 (Median) to 2015, with 7 observations. The data reached an all-time high of 3.300 % in 1997 and a record low of 2.200 % in 2009. Philippines PTE: Clothing & Footwear 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.

PTE: PhP 250,000 & over: Tobacco data was reported at 0.800 % in 2015. This records an increase from the previous number of 0.600 % for 2012. PTE: PhP 250,000 & over: Tobacco data is updated yearly, averaging 0.700 % from Dec 2012 (Median) to 2015, with 2 observations. The data reached an all-time high of 0.800 % in 2015 and a record low of 0.600 % in 2012. PTE: PhP 250,000 & over: Tobacco 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.