100+ datasets found
  1. i

    Family Income and Expenditure Survey 1994 - Philippines

    • dev.ihsn.org
    • catalog.ihsn.org
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    Updated Apr 25, 2019
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    National Statistics Office (2019). Family Income and Expenditure Survey 1994 - Philippines [Dataset]. https://dev.ihsn.org/nada/catalog/study/PHL_1994_FIES_v01_M
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    Dataset updated
    Apr 25, 2019
    Dataset authored and provided by
    National Statistics Office
    Time period covered
    1994 - 1995
    Area covered
    Philippines
    Description

    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.

  2. Taiwan Family Income & Expenditure Survey (FIES): Gini Coeifficient

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Taiwan Family Income & Expenditure Survey (FIES): Gini Coeifficient [Dataset]. https://www.ceicdata.com/en/taiwan/family-income-and-expenditure-survey-directorate-general-of-budget-accounting-and-statistics/family-income--expenditure-survey-fies-gini-coeifficient
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Taiwan
    Variables measured
    Household Income and Expenditure Survey
    Description

    Taiwan Family Income & Expenditure Survey (FIES): Gini Coeifficient data was reported at 0.336 NA in 2016. This records a decrease from the previous number of 0.338 NA for 2015. Taiwan Family Income & Expenditure Survey (FIES): Gini Coeifficient data is updated yearly, averaging 0.318 NA from Dec 1964 (Median) to 2016, with 46 observations. The data reached an all-time high of 0.350 NA in 2001 and a record low of 0.278 NA in 1980. Taiwan Family Income & Expenditure Survey (FIES): Gini Coeifficient data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.H019: Family Income and Expenditure Survey: Directorate General of Budget, Accounting and Statistics.

  3. o

    PSID Family Composition File: 1968-2021

    • openicpsr.org
    sas
    Updated Feb 1, 2024
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    Paula Fomby (2024). PSID Family Composition File: 1968-2021 [Dataset]. http://doi.org/10.3886/E198084V2
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    sasAvailable download formats
    Dataset updated
    Feb 1, 2024
    Dataset provided by
    University of Pennsylvania
    Authors
    Paula Fomby
    Description

    The purpose of the Family Composition File is to document family structure stability and change over the early life course from the perspective of minor children. Specifically, the file describes the relatedness and co-residence status of a child's biological, adoptive, step- and social parents and siblings at each observed wave from birth to approximately age 19. It includes observations on sample children (i.e., those related by birth or adoption to original PSID householders) from all PSID interview years (1968-2021). The Latino sample (observed 1990-95, 1968 family interview numbers 7000-9309) is excluded.Contents of the file are drawn from a variety of existing PSID data sources, including the Cross-Year Individual and Parent Identification files and the Marriage History and Childbirth and Adoption History files. The Family Composition file reorganizes the information available in these other files to present a unified record of family structure history from a child’s perspective.

  4. Taiwan FIES: Housing Tenure: % of Owned: By Family Member Not Living Tgt

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Taiwan FIES: Housing Tenure: % of Owned: By Family Member Not Living Tgt [Dataset]. https://www.ceicdata.com/en/taiwan/family-income-and-expenditure-survey-directorate-general-of-budget-accounting-and-statistics/fies-housing-tenure--of-owned-by-family-member-not-living-tgt
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2010 - Dec 1, 2016
    Area covered
    Taiwan
    Variables measured
    Household Income and Expenditure Survey
    Description

    Taiwan FIES: Housing Tenure: % of Owned: By Family Member Not Living Tgt data was reported at 4.106 % in 2016. This records a decrease from the previous number of 4.228 % for 2015. Taiwan FIES: Housing Tenure: % of Owned: By Family Member Not Living Tgt data is updated yearly, averaging 3.870 % from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 4.317 % in 2014 and a record low of 3.360 % in 2013. Taiwan FIES: Housing Tenure: % of Owned: By Family Member Not Living Tgt data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.H019: Family Income and Expenditure Survey: Directorate General of Budget, Accounting and Statistics.

  5. i

    Family Income and Expenditure Survey 2000 - Philippines

    • catalog.ihsn.org
    • dev.ihsn.org
    • +1more
    Updated Mar 29, 2019
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    National Statistics Office (2019). Family Income and Expenditure Survey 2000 - Philippines [Dataset]. https://catalog.ihsn.org/catalog/3693
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    National Statistics Office
    Time period covered
    2000
    Area covered
    Philippines
    Description

    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%

  6. Taiwan FIES: No of Persons Per Household

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Taiwan FIES: No of Persons Per Household [Dataset]. https://www.ceicdata.com/en/taiwan/family-income-and-expenditure-survey-directorate-general-of-budget-accounting-and-statistics/fies-no-of-persons-per-household
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Taiwan
    Variables measured
    Household Income and Expenditure Survey
    Description

    Taiwan FIES: Number of Persons Per Household data was reported at 3.068 Person in 2017. This records a decrease from the previous number of 3.069 Person for 2016. Taiwan FIES: Number of Persons Per Household data is updated yearly, averaging 4.100 Person from Dec 1968 (Median) to 2017, with 50 observations. The data reached an all-time high of 5.850 Person in 1970 and a record low of 3.068 Person in 2017. Taiwan FIES: Number of Persons Per Household data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.H019: Family Income and Expenditure Survey: Directorate General of Budget, Accounting and Statistics.

  7. National Survey of Family Growth 2017-2019 Public-Use Files - idt2-xckw -...

    • healthdata.gov
    application/rdfxml +5
    Updated Jul 16, 2025
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    (2025). National Survey of Family Growth 2017-2019 Public-Use Files - idt2-xckw - Archive Repository [Dataset]. https://healthdata.gov/dataset/National-Survey-of-Family-Growth-2017-2019-Public-/7fhy-czqn
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    json, tsv, xml, application/rdfxml, csv, application/rssxmlAvailable download formats
    Dataset updated
    Jul 16, 2025
    Description

    This dataset tracks the updates made on the dataset "National Survey of Family Growth 2017-2019 Public-Use Files" as a repository for previous versions of the data and metadata.

  8. Taiwan FIES: % Distribution of Income Recipients: Male

    • ceicdata.com
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    CEICdata.com, Taiwan FIES: % Distribution of Income Recipients: Male [Dataset]. https://www.ceicdata.com/en/taiwan/family-income-and-expenditure-survey-directorate-general-of-budget-accounting-and-statistics/fies--distribution-of-income-recipients-male
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Taiwan
    Variables measured
    Household Income and Expenditure Survey
    Description

    Taiwan FIES: % Distribution of Income Recipients: Male data was reported at 56.940 % in 2016. This records a decrease from the previous number of 57.380 % for 2015. Taiwan FIES: % Distribution of Income Recipients: Male data is updated yearly, averaging 64.600 % from Dec 1976 (Median) to 2016, with 41 observations. The data reached an all-time high of 73.470 % in 1976 and a record low of 56.940 % in 2016. Taiwan FIES: % Distribution of Income Recipients: Male data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.H019: Family Income and Expenditure Survey: Directorate General of Budget, Accounting and Statistics.

  9. Taiwan FIES: CE: Health

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Taiwan FIES: CE: Health [Dataset]. https://www.ceicdata.com/en/taiwan/family-income-and-expenditure-survey-directorate-general-of-budget-accounting-and-statistics/fies-ce-health
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2009 - Dec 1, 2016
    Area covered
    Taiwan
    Variables measured
    Household Income and Expenditure Survey
    Description

    Taiwan FIES: CE: Health data was reported at 119,092.986 NTD in 2016. This records an increase from the previous number of 114,302.781 NTD for 2015. Taiwan FIES: CE: Health data is updated yearly, averaging 108,158.591 NTD from Dec 2009 (Median) to 2016, with 8 observations. The data reached an all-time high of 119,092.986 NTD in 2016 and a record low of 101,089.057 NTD in 2010. Taiwan FIES: CE: Health data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.H019: Family Income and Expenditure Survey: Directorate General of Budget, Accounting and Statistics.

  10. National Survey of Family Growth 2017-2019 Public-Use Files

    • healthdata.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Nov 1, 2023
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    data.cdc.gov (2023). National Survey of Family Growth 2017-2019 Public-Use Files [Dataset]. https://healthdata.gov/CDC/National-Survey-of-Family-Growth-2017-2019-Public-/idt2-xckw
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    tsv, application/rssxml, csv, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    data.cdc.gov
    Description

    The National Survey of Family Growth (NSFG) gathers information on pregnancies and births, marriage and cohabitation, infertility, use of contraception, family life, and general and reproductive health. Public-use files include a female respondent, male respondent, and female pregnancy file.

  11. INCOME Family Income in 1999 NMHD 2000

    • catalog.data.gov
    • gstore.unm.edu
    Updated Dec 2, 2020
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Management Branch (Point of Contact) (2020). INCOME Family Income in 1999 NMHD 2000 [Dataset]. https://catalog.data.gov/dataset/income-family-income-in-1999-nmhd-2000
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2006 Second Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. This shapefile represents the current State House Districts for New Mexico as posted on the Census Bureau website for 2006.

  12. Taiwan FIES: % of Households with Household Eq: Personal Computer

    • ceicdata.com
    Updated Dec 16, 2024
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    CEICdata.com (2024). Taiwan FIES: % of Households with Household Eq: Personal Computer [Dataset]. https://www.ceicdata.com/en/taiwan/family-income-and-expenditure-survey-directorate-general-of-budget-accounting-and-statistics/fies--of-households-with-household-eq-personal-computer
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    Dataset updated
    Dec 16, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Taiwan
    Variables measured
    Household Income and Expenditure Survey
    Description

    Taiwan FIES: % of Households with Household Eq: Personal Computer data was reported at 68.750 % in 2016. This records a decrease from the previous number of 69.323 % for 2015. Taiwan FIES: % of Households with Household Eq: Personal Computer data is updated yearly, averaging 42.705 % from Dec 1983 (Median) to 2016, with 34 observations. The data reached an all-time high of 72.310 % in 2012 and a record low of 1.460 % in 1983. Taiwan FIES: % of Households with Household Eq: Personal Computer data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.H019: Family Income and Expenditure Survey: Directorate General of Budget, Accounting and Statistics.

  13. National Survey of Family Growth (NSFG), United States, 2011-2019

    • icpsr.umich.edu
    Updated Sep 13, 2021
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    National Center for Health Statistics (U.S.) (2021). National Survey of Family Growth (NSFG), United States, 2011-2019 [Dataset]. http://doi.org/10.3886/ICPSR38009.v1
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    Dataset updated
    Sep 13, 2021
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    National Center for Health Statistics (U.S.)
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38009/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38009/terms

    Time period covered
    2011 - 2013
    Area covered
    United States
    Description

    This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the National Survey of Family Growth (NSFG) website) directly for details on obtaining the data. The National Survey of Family Growth (NSFG) gathers information on pregnancy and births, marriage and cohabitation, infertility, use of contraception, family life, and general and reproductive health. The survey sample is designed to produce national data, not estimates for individual states. Beginning in 1973, NSFG was designed to be nationally representative of ever-married women 15-44 years of age in the civilian, non-institutionalized population of the United States (household population). Later sample changes to NSFG include: Interviewing women aged 15-44 regardless of marital experience (1982) Interviewing an independent sample of men aged 15-44 (2002) Expanding the age range for women and men to 15-49 (2015) Grandparent-Parent-Adult Child triplets: ~1,400 For the 2011-2019 continuous interviewing period, four sets of 2-year public-use data files were released: 2011-2013 NSFG: 10,416 respondents aged 15-44 (5,601 women and 4,815 men) 2013-2015 NSFG: 10,205 respondents aged 15-44 (5,699 women and 4,506 men) 2015-2017 NSFG: 10,094 respondents aged 15-49 (5,554 women and 4,540 men) 2017-2019 NSFG: 11,347 respondents aged 15-49 (6,141 women and 5,206 men) Public-use data files and related documentation, including questionnaires, codebooks, and design and operations reports, can be found for each release on the NSFG Questionnaires, Datasets, and Related Documentation page.

  14. INCOME Total and Mean and Median Family Income in 1999 NMSD 2000

    • gstore.unm.edu
    • cloud.csiss.gmu.edu
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Management Branch, INCOME Total and Mean and Median Family Income in 1999 NMSD 2000 [Dataset]. http://gstore.unm.edu/apps/rgis/datasets/1dfcab01-4a7a-4665-800f-f7cd0c835628/metadata/ISO-19115:2003.html
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Time period covered
    Feb 26, 2007
    Area covered
    West Bound -109.050173 East Bound -103.001964 North Bound 37.000232 South Bound 31.332301
    Description

    The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2006 Second Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. This shapefile represents the current State Senate Districts for New Mexico as posted on the Census Bureau website for 2006.

  15. o

    Fisher and Johnson Consumption Imputation to Panel Study of Income Dynamics

    • openicpsr.org
    Updated Apr 15, 2025
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    Jonathan Fisher; David S. Johnson (2025). Fisher and Johnson Consumption Imputation to Panel Study of Income Dynamics [Dataset]. http://doi.org/10.3886/E226841V1
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    Dataset updated
    Apr 15, 2025
    Authors
    Jonathan Fisher; David S. Johnson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The programs and data are used to impute consumption to the 1968-2017 Panel Study of Income Dynamics (PSID) family files. The Consumer Expenditure Survey is used to impute consumption to the PSID.

  16. n

    Cross-National Equivalent Files

    • neuinfo.org
    • scicrunch.org
    • +2more
    Updated Oct 16, 2019
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    (2019). Cross-National Equivalent Files [Dataset]. http://identifiers.org/RRID:SCR_008935
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    Dataset updated
    Oct 16, 2019
    Description

    A dataset, 1970-2009, containing equivalently defined variables for the British Household Panel Study (BHPS), the Household Income and Labour Dynamics in Australia (HILDA), the Korea Labor and Income Panel Study (KLIPS) (new this year), the Panel Study of Income Dynamics (PSID), the Russia Longitudinal Monitoring Survey (RLMS-HSE) (new this year), the Swiss Household Panel (SHP), the Canadian Survey of Labour and Income Dynamics (SLID), and the German Socio-Economic Panel (SOEP). The data are designed to allow cross-national researchers not experienced in panel data analysis to access a simplified version of these panels, while providing experienced panel data users with guidelines for formulating equivalent variables across countries. The CNEF permit researchers to track yearly changes in the health and economic well-being of older people relative to younger people in the study countries. The equivalent file provides a set of constructed variables (for example pre- and post-government income and United States and international household equivalence weights) that are not directly available on the original surveys. Since the Cross-National Equivalent File 1970-2009 can be merged with the original surveys, PSID-CNEF users can easily incorporate these constructed variables into current analyses. The most recent release of the Equivalent File includes: * BHPS data from 1991 to 2005 on over 21,000 individuals and approximately 6,000 households. * GSOEP data from 1984 to 2007 on over 20,000 individuals and approximately 6,000 households in Germany. * HILDA data from 2001 to 2006 on over 19,000 individuals and 7,000 households. * PSID data from 1980 to 2005 on over 33,000 individuals and approximately 7,000 households. * SHP data from 1999 to 2006 on 12,900 individuals and 5,000 households. * SLID data from 1993 to 2006 on over 95,000 individuals and approximately 32,000 households. With one exception, the CNEF country data are available on CD-ROM from Cornell University for a fee. The Canadian SLID data are not distributed on the CD but are available to CNEF registered researchers through special arrangements with Statistics Canada. Complete instructions for obtaining CNEF data may be accessed on the project website. * Dates of Study: 1980-2007 * Study Features: International, Longitudinal * Sample Size: ** BHPS: 21,000+ ** PSID: 33,000+ ** SLID: 95,000+ ** GSOEP: 20,000+ ** HILDA: 19,000+ ** SHP: 12,900+ NACDA link: http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/00145/detail

  17. Taiwan FIES: % Distribution of Income Recipients: Age: 30 - 34

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Taiwan FIES: % Distribution of Income Recipients: Age: 30 - 34 [Dataset]. https://www.ceicdata.com/en/taiwan/family-income-and-expenditure-survey-directorate-general-of-budget-accounting-and-statistics/fies--distribution-of-income-recipients-age-30-34
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Taiwan
    Variables measured
    Household Income and Expenditure Survey
    Description

    Taiwan FIES: % Distribution of Income Recipients: Age: 30 - 34 data was reported at 8.670 % in 2016. This records a decrease from the previous number of 9.910 % for 2015. Taiwan FIES: % Distribution of Income Recipients: Age: 30 - 34 data is updated yearly, averaging 12.850 % from Dec 1976 (Median) to 2016, with 41 observations. The data reached an all-time high of 16.700 % in 1985 and a record low of 8.670 % in 2016. Taiwan FIES: % Distribution of Income Recipients: Age: 30 - 34 data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.H019: Family Income and Expenditure Survey: Directorate General of Budget, Accounting and Statistics.

  18. r

    Panel Study of Income Dynamics

    • rrid.site
    • dknet.org
    • +1more
    Updated Jul 27, 2025
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    (2025). Panel Study of Income Dynamics [Dataset]. http://identifiers.org/RRID:SCR_008976/resolver?q=*&i=rrid
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    Dataset updated
    Jul 27, 2025
    Description

    Long-term longitudinal dataset with information on generational links and socioeconomic and health conditions of individuals over time. The central foci of the data are economic and demographic, with substantial detail on income sources and amounts, wealth, savings, employment, pensions, family composition changes, childbirth and marriage histories, and residential location. Over the life of the PSID, the NIA has funded supplements on wealth, health, parental health and long term care, housing, and the financial impact of illness, thus also making it possible to model retirement and residential mobility. Starting in 1999, much greater detail on specific health conditions and health care expenses is included for respondent and spouse. Other enhancements have included a question series about emotional distress (2001); the two stem questions from the Composite International Diagnostic Interview to assess symptoms of major depression (2003); a supplement on philanthropic giving and volunteering (2001-03); a question series on Internet and computer use (2003); linkage to the National Death Index with cause of death information for more than 4,000 individuals through the 1997 wave, updated for each subsequent wave; social and family history variables and GIS-linked environmental data; basic data on pension plans; event history calendar methodology to facilitate recall of employment spells (2001). The reporting unit is the family: single person living alone or sharing a household with other non-relatives; group of people related by blood, marriage, or adoption; unmarried couple living together in what appears to be a fairly permanent arrangement. Interviews were conducted annually from 1968 through 1997; biennial interviewing began in 1999. There is an oversample of Blacks (30%). Waves 1990 through 1995 included a 20% Hispanic oversample; within the Hispanic oversample, Cubans and Puerto Ricans were oversampled relative to Mexicans. All data from 1994 through 2001 are available as public release files; prior waves can be obtained in archive versions. The special files with weights for families are also available. Restricted files include the Geocode Match File with information for 1968 through 2001, the 1968-2001 Death File, and the 1991 Medicare Claims File. * Dates of Study: 1968-2003 * Study Features: Longitudinal, Minority Oversampling * Sample Size: 65,000+ Links * ICPSR Series: http://www.icpsr.umich.edu/icpsrweb/ICPSR/series/00131 * ICPSR 1968-1999: Annual Core Data: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/07439 * ICPSR 1968-1999: Supplemental Files: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03202 * ICPSR 1989-1990: Latino Sample: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03203

  19. Taiwan FIES: Receipts Per Income Recipient (RI)

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Taiwan FIES: Receipts Per Income Recipient (RI) [Dataset]. https://www.ceicdata.com/en/taiwan/family-income-and-expenditure-survey-directorate-general-of-budget-accounting-and-statistics/fies-receipts-per-income-recipient-ri
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Taiwan
    Variables measured
    Household Income and Expenditure Survey
    Description

    Taiwan FIES: Receipts Per Income Recipient (RI) data was reported at 636,709.420 NTD in 2016. This records an increase from the previous number of 630,904.568 NTD for 2015. Taiwan FIES: Receipts Per Income Recipient (RI) data is updated yearly, averaging 620,219.676 NTD from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 636,709.420 NTD in 2016 and a record low of 603,625.839 NTD in 2009. Taiwan FIES: Receipts Per Income Recipient (RI) data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.H019: Family Income and Expenditure Survey: Directorate General of Budget, Accounting and Statistics.

  20. INCOME Family Income in 1999 CTS 2000

    • catalog.data.gov
    • gstore.unm.edu
    • +2more
    Updated Dec 2, 2020
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    U.S. Department of Commerce, Bureau of the Census, Geography Division (Point of Contact) (2020). INCOME Family Income in 1999 CTS 2000 [Dataset]. https://catalog.data.gov/dataset/income-family-income-in-1999-cts-2000
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.

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National Statistics Office (2019). Family Income and Expenditure Survey 1994 - Philippines [Dataset]. https://dev.ihsn.org/nada/catalog/study/PHL_1994_FIES_v01_M

Family Income and Expenditure Survey 1994 - Philippines

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Dataset updated
Apr 25, 2019
Dataset authored and provided by
National Statistics Office
Time period covered
1994 - 1995
Area covered
Philippines
Description

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.

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