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American Housing Survey, 1999: National Microdata

Version
v2
Resource Type
Dataset : survey data
Creator
  • United States Department of Commerce. Bureau of the Census
Other Title
  • Version 2 (Subtitle)
Collective Title
  • American Housing Survey Series
Publication Date
2002-02-15
Language
English
Free Keywords
commuting (travel); energy assistance; energy conservation; energy consumption; home ownership; housing; housing conditions; housing costs; housing occupancy; housing units; income; living arrangements; Metropolitan Statistical Areas; municipal services; neighborhood conditions; property insurance; property taxes; property values; rental housing; relocation; transportation; utility rates
Description
  • Abstract

    This data collection provides information on the characteristics of a national sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units. Unlike previous years, the data are presented in ten separate parts: Part 1, Work Done Record (Replacement or Additions to the House), Part 2, Housing Unit Record (Main Record), Part 3, Worker Record, Part 4, Mortgages (Owners Only), Part 5, Manager and Owner Record (Renters Only), Part 6, Person Record, Part 7, Ratio Verification, Part 8, Mover Group Record, Part 9, Recodes (One Record per Housing Unit), and Part 10, Weights. Data include year the structure was built, type and number of living quarters, occupancy status, access, number of rooms, presence of commercial establishments on the property, and property value. Additional data focus on kitchen and plumbing facilities, types of heating fuel used, source of water, sewage disposal, heating and air-conditioning equipment, and major additions, alterations, or repairs to the property. Information provided on housing expenses includes monthly mortgage or rent payments, cost of services such as utilities, garbage collection, and property insurance, and amount of real estate taxes paid in the previous year. Also included is information on whether the household received government assistance to help pay heating or cooling costs or for other energy-related services. Similar data are provided for housing units previously occupied by respondents who had recently moved. Additionally, indicators of housing and neighborhood quality are supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, breakdowns of plumbing facilities and equipment, and overall opinion of the structure. For quality of neighborhood, variables include use of exterminator services, existence of boarded-up buildings, and overall quality of the neighborhood. In addition to housing characteristics, some demographic data are provided on household members, such as age, sex, race, marital status, income, and relationship to householder. Additional data provided on the householder include years of school completed, Spanish origin, length of residence, and length of occupancy.
  • Methods

    Please review the "Sample Status, Weights, Interview Status" section in the ICPSR codebook for this American Housing Survey study, as well as Appendix B in CURRENT HOUSING REPORTS, 1999, included with this collection.
  • Methods

    ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes..
  • Table of Contents

    Datasets:

    • DS0: Study-Level Files
    • DS1: Work Done Record (Replacement or Additions to the House)
    • DS2: Housing Unit Record (Main Record)
    • DS3: Worker Record
    • DS4: Mortgages (Owners Only)
    • DS5: Manager and Owner Record (Renters Only)
    • DS6: Person Record
    • DS7: Ratio Verification
    • DS8: Mover Group Record
    • DS9: Recodes (One Record per Housing Unit)
    • DS10: Weights
Temporal Coverage
  • Time period: 1999
  • 1999-07-28 / 1999-11-17
    Collection date: 1999-07-28--1999-11-17
Geographic Coverage
  • United States
Sampled Universe
Housing units in the United States.
Sampling
The 1999 national data are from a sample of housing units interviewed between August and November 1999. The same basic sample of housing units is interviewed every two years until a new sample is selected. The Census Bureau updated the sample by adding newly constructed housing units and units discovered through coverage improvement efforts every enumeration. For the 1999 American Housing Survey-National (AHS-N), approximately 60,700 sample housing units were selected for interview. About 2,300 of these units were found to be ineligible because the unit no longer existed or because the units did not meet the AHS-N definition of a housing unit. Of the 58,400 eligible sample units, about 5,800 were classified (both occupied and vacant housing units), as "Type A" noninterviews because (a) no one was at home after repeated visits, (b) the respondent refused to be interviewed, or (c) the interviewer was unable to find the unit. This classification produced a 90-percent overall response rate. The AHS sample consists of the following types of units in the sampled primary sampling units: housing units selected from the 1980 Census, new construction in areas requiring building permits, housing units missed in the 1980 Census, and other housing units added since the 1980 Census. For more information about Sample Design, please see Appendix B in CURRENT HOUSING REPORTS, 1999, included with this collection.
Collection Mode
  • (1) Beginning in 1997, the methods of collecting and processing American Housing Survey (AHS) data were redesigned. All interviews are conducted using computer-assisted personal interviewing (CAPI) software, allowing new responses to some questions. Rather than existing as a single file, this collection consists of ten parts, each containing data pertaining to a specific subject-matter. In addition, data for building and neighborhood questions ceased to be collected through interviewer observation. Rather, these questions have been reworded for the respondents. Due to these changes, users are asked to use caution when comparing data prior to 1997 with data from 1997 forward. For further information about the redesign, please refer to DOCUMENTATION OF CHANGES IN THE 1997 AMERICAN HOUSING SURVEY included with AMERICAN HOUSING SURVEY, 1997: NATIONAL MICRODATA (ICPSR 2912). (2) The interview dates in the data file are not consistent with the dates listed under National Sample Design: Sample Size in Appendix B of CURRENT HOUSING REPORTS, 1999, included with this collection. (3) Additional information about the American Housing Survey can be found at the HUD USER Web site and the United States Census Bureau Web site

Note
2007-06-11 This study has been updated with the most recent data and codebook downloaded from the HUD USER Web site, as well as supplemental documentation: CURRENT HOUSING REPORTS, 1999. In addition, this study now includes SAS, SPSS, and Stata setup files, SAS transport (XPORT) files, SPSS portable files, and Stata system files.2006-01-12 All files were removed from dataset 11, 12, and 13, and flagged as study-level files, so that they will accompany all downloads.
Availability
Download
This study is freely available to ICPSR member institutions via web download.
Alternative Identifiers
  • 3204 (Type: ICPSR Study Number)
Relations
  • Is new version of
    DOI: 10.3886/ICPSR03204.v1
Publications
  • Cunningham, Chris, Reed, Robert R.. Negative equity and wages. Regional Science and Urban Economics.43, (6), 841-849.2013.
    • ID: 10.1016/j.regsciurbeco.2013.08.005 (DOI)
  • Bae, Hyunhoe. Reducing environmental risks by information disclosure: Evidence in residential lead paint disclosure rule. Journal of Policy Analysis and Management.32, (2), 404-431.2012.
    • ID: 10.1002/pam.21600 (DOI)
  • Conrad, Daren A., Brown, LaTanya N.. The impact of macroeconomic fluctuations on the likelihood of African American female homeownership. Review of Black Political Economy.39, (3), 299-309.2012.
    • ID: 10.1007/s12114-011-9113-3 (DOI)
  • Ellen, Ingrid Gould, O'Regan, Katherine M.. How low income neighborhoods change: Entry, exit, and enhancement. Regional Science and Urban Economics.41, (2), 89-97.2011.
    • ID: 10.1016/j.regsciurbeco.2010.12.005 (DOI)
  • Ferreira, Fernando, Gyourko, Joseph, Tracy, Joseph. Housing busts and household mobility. Journal of Urban Economics.68, (1), 34-45.2010.
    • ID: 10.1016/j.jue.2009.10.007 (DOI)
  • Hipp, John R.. Resident perceptions of crime and disorder: How much is 'bias', and how much is social environment differences?. Criminology.48, (2), 475-508.2010.
    • ID: 10.1111/j.1745-9125.2010.00193.x (DOI)
  • Larco, N.. Suburbia shifted: Overlooked trends and opportunities in suburban multifamily housing. Journal of Architectural and Planning Research.27, (1), 69-87.2010.
  • Zhou, Yu, Haurin, Donald R.. On the determinants of house value volatility. Journal of Real Estate Research.32, (4), 377-395.2010.
  • Nelson, Arthur C.. Toward a New Metropolis: The Opportunity to Rebuild America. A Discussion Paper Prepared for the Brookings Institution Metropolitan Policy Program.Washington, DC: Brookings Institution Metropolitan Policy Program. 2004.
    • ID: http://www.brookings.edu/metro/pubs/20041213_RebuildAmerica.pdf (URL)

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-15

United States Department of Commerce. Bureau of the Census (2002): American Housing Survey, 1999: National Microdata. Version 2. American Housing Survey Series. Version: v2. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR03204.v2