This study is maintained and distributed by the National Archive of Computerized Data on Aging (NACDA), the aging program within ICPSR. NACDA is sponsored by the National Institute on Aging (NIA) at the National Institutes of Heath (NIH).
Census of Population and Housing, 2000 [United States]: 5-Percent Public Use Microdata Sample: Elderly Households Extract (ICPSR 4204)
Principal Investigator(s): National Archive of Computerized Data on Aging
This is a special extract of the 2000 Census 5-Percent Public Use Microdata Samples (PUMS) created by the National Archive of Computerized Data on Aging (NACDA). The file combines the individual 5-percent state files for all 50 states, the District of Columbia, and Puerto Rico as released by the United States Census Bureau into a single analysis file. The file contains information on all households that contain at least one person aged 65 years or more in residence as of the 2000 Census enumeration. The file contains individual records on all persons aged 65 and older living in households as well as individual records for all other members residing in each of these households. Consequently, this file can be used to examine both the characteristics of the elderly in the United States as well as the characteristics of individuals who co-reside with persons aged 65 and older as of the year 2000. All household variables from the household-specific "Household record" of the 2000 PUMS are appended to the end of each individual level record. This file is not a special product of the Census Bureau and is not a resample of the PUMS data specific to the elderly population. While it is comparable to the 1990 release CENSUS OF POPULATION AND HOUSING, 1990: [UNITED STATES]: PUBLIC USE MICRODATA SAMPLE: 3-PERCENT ELDERLY SAMPLE (ICPSR 6219), the sampling procedures and weights for the 2000 file reflect the methodology that applies to the 5-percent PUMS release CENSUS OF POPULATION AND HOUSING, 2000 [UNITED STATES]: PUBLIC USE MICRODATA SAMPLE: 5-PERCENT SAMPLE (ICPSR 13568). Person variables cover age, sex, relationship to householder, educational attainment, school enrollment, race, Hispanic origin, ancestry, language spoken at home, citizenship, place of birth, year of immigration, place of residence in 1985, marital status, number of children ever born, military service, mobility and personal care limitation, work limitation status, employment status, occupation, industry, class of worker, hours worked last week, weeks worked in 1989, usual hours worked per week, temporary absence from work, place of work, time of departure for work, travel time to work, means of transportation to work, total earnings, total income, wages and salary income, farm and nonfarm self-employment income, Social Security income, public assistance income, retirement income, and rent, dividends, and net rental income. Housing variables include area type, state and area of residence, farm/nonfarm status, type of structure, year structure was built, vacancy and boarded-up status, number of rooms and bedrooms, presence or absence of a telephone, presence or absence of complete kitchen and plumbing facilities, type of sewage facilities, type of water source, type of heating fuel used, property value, tenure, year moved into house/apartment, type of household/family, type of group quarters, household language, number of persons in the household, number of persons and workers in the family, status of mortgage, second mortgage, and home equity loan, number of vehicles available, household income, sales of agricultural products, payments for rent, mortgage and property tax, condominium fees, mobile home costs, and cost of electricity, water, heating fuel, and flood/fire/hazard insurance.
The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.
WARNING: This study is over 150MB in size and may take several minutes to download on a typical internet connection.
National Archive of Computerized Data on Aging. Census of Population and Housing, 2000 [United States]: 5-Percent Public Use Microdata Sample: Elderly Households Extract. ICPSR04204-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2005-07-22. http://doi.org/10.3886/ICPSR04204.v2
Persistent URL: http://doi.org/10.3886/ICPSR04204.v2
Scope of Study
Subject Terms: age, census data, demographic characteristics, employment, ethnicity, household composition, household income, housing, housing conditions, occupations, older adults, population, population migration, states (USA), unemployment, wages and salaries, working hours
Geographic Coverage: Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York (state), North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, United States, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming
Date of Collection:
Universe: All persons and housing units in the United States.
Data Types: census/enumeration data
Data Collection Notes:
Both individual and household level weights are included with the file and caution needs to be employed when using these weights so the user is directed to the technical documentation provided by the Census Bureau and included with this release.
Sample: A stratified sample of the population that was created by subsampling the full census sample (approximately 15.8 percent of all housing units) that received census long-form questionnaires.
Weight: hweight, pweight
Mode of Data Collection: self-enumerated questionnaire
Original ICPSR Release: 2005-03-25
- 2005-07-22 Data and setup files have been updated with the addition of the variable FILTER65. This variable is designed to allow users to create a subset of data for persons age 65 and older.
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