Description & Citation--Study No. 4587 | | | ICPSR Study No.: | 4587 |
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Persistent URL:
| http://dx.doi.org/10.3886/ICPSR04587 |
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| | | Title: | American Community Survey (ACS): Public Use Microdata Sample (PUMS), 2005 |
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| | | Principal Investigator(s): | United States Department of Commerce. Bureau of the Census |
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| | | Series: | American Community Survey (ACS) Series |
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| | | Bibliographic Citation: | U.S. Dept. of Commerce, Bureau of the Census. AMERICAN COMMUNITY SURVEY (ACS): PUBLIC USE MICRODATA SAMPLE (PUMS), 2005 [Computer file]. ICPSR04587-v2. Washington, DC: U.S. Dept. of Commerce, Bureau of the Census [producer], 2005. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2008-05-02. doi:10.3886/ICPSR04587 |
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| | | | Summary: | The American Community Survey (ACS) is a part of the
Decennial Census Program, and is designed to produce critical
information about the characteristics of local communities. The ACS
publishes social, housing, and economic characteristics for
demographic groups covering a broad spectrum of geographic areas in
the United States and Puerto Rico. Every year the ACS supports the
release of single-year estimates for geographic areas with populations
of 65,000 or more. Demographic variables include sex, age,
relationship, households by type, race, and Hispanic origin. Social
characteristics variables include school enrollment, educational
attainment, marital status, fertility, grandparents caring for
children, veteran status, disability status, residence one year ago,
place of birth, U.S. citizenship status, year of entry, world region
of birth of foreign born, language spoken at home, and ancestry.
Variables focusing on economic characteristics include employment
status, commuting to work, occupation, industry, class of worker,
income and benefits, and poverty status. Variables focusing on housing
characteristics include occupancy, units in structure, year structure
built, number of rooms, number of bedrooms, housing tenure, year
householder moved into unit, vehicles available, house heating fuel,
utility costs, occupants per room, housing value, and mortgage status.
The American Community Survey is conducted under the authority of
Title 13, United States Code, Sections 141 and 193, and response is
mandatory. |
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| | | Subject Term(s): | ancestry, census data, citizenship, demographic characteristics, economic conditions, employment, ethnicity, families, hearing impairment, household composition, households, housing, housing conditions, immigration, income, indigenous populations, labor force, marriage, migration, military service, mortgage payments, physical disabilities, population, population characteristics, race, taxes, utilities, vision impairment |
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| | | 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, 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 |
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| | | Time Period: | November 2004 - December 2005 |
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| | | Date(s) of Collection: | November 2004 - December 2005 |
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| | | Universe: | All persons and housing units in the United States
including Puerto Rico. |
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| | | Data Type: | survey data |
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| | | Data Collection Notes: | (1) Parts 103 and 104 represent, respectively, the
entire United States Housing and Population datasets for the 2005
American Community Survey (ACS). Both parts 103 and 104 are quite
large and should be downloaded at the discretion of the user. (2) ICPSR
suggests SDA online analysis for those users who wish to use the
United States ACS housing and population datasets but have decided not
to download the respective parts:
United
States Housing SDA (link),
United
States Population SDA (link). (3) Any state's housing and population data
files can be merged via the variable SERIALNO to create a hierarchical
data file. The hierarchical data structure represents the responses of
all individuals reported living in a given housing unit. Individuals
can be distinguished by the variable SPORDER (Person Number). If users
are merging files, keep in mind that estimates of family, household,
and housing characteristics will make use of the housing weights.
Estimates of person characteristics will use the person weights. (4)
Users are strongly encouraged to read all documentation regarding
sampling errors and weights prior to merging files. Documentation is
available for download or can be accessed on the
American Community Survey Web
site (link). |
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| | | | Weight: | The data in the household and population files contain
weights. The initial weights reflect the probability of selection
and are adjusted for interviewed households to account for
noninterviews. Additional weights reflect independent housing unit
and population estimates. |
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| | | Mode of Data Collection: | mail questionnaire |
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| computer-assisted telephone interview (CATI) |
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| computer-assisted personal interview (CAPI) |
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| | | Extent of Processing: | CDBK.ICPSR/ CONCHK.PR/ DDEF.ICPSR/ FREQ.ICPSR/
MDATA.PR/ REFORM.DATA/ REFORM.DOC/ UNDOCCHK.PR |
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| | | | Note: | A list of the data formats available for this study can be found in the
summary of holdings. Detailed file-level information (such as record length, case count, and variable count) is listed in the
file manifest. |
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| | | Original ICPSR Release: | 2007-08-08 |
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| | | Version History: | The last update of this study occurred on 2008-05-02. |
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| 2008-05-02 - Parts 105 and 106 have been added
to this data collection to include the housing and population data
files for Puerto Rico. Question text has been added to the codebooks.
SAS, SPSS, and Stata setup files, and SAS supplemental files have
been added for both parts 105 and 106. SDA has been added for both
parts 105 and 106 of this data collection. |
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| | | Dataset(s): | - DS1: Alabama Housing
- DS2: Alabama Population
- DS3: Alaska Housing
- DS4: Alaska Population
- DS5: Arizona Housing
- DS6: Arizona Population
- DS7: Arkansas Housing
- DS8: Arkansas Population
- DS9: California Housing
- DS10: California Population
- DS11: Colorado Housing
- DS12: Colorado Population
- DS13: Connecticut Housing
- DS14: Connecticut Population
- DS15: Delaware Housing
- DS16: Delaware Population
- DS17: District of Columbia Housing
- DS18: District of Columbia Population
- DS19: Florida Housing
- DS20: Florida Population
- DS21: Georgia Housing
- DS22: Georgia Population
- DS23: Hawaii Housing
- DS24: Hawaii Population
- DS25: Idaho Housing
- DS26: Idaho Population
- DS27: Illinois Housing
- DS28: Illinois Population
- DS29: Indiana Housing
- DS30: Indiana Population
- DS31: Iowa Housing
- DS32: Iowa Population
- DS33: Kansas Housing
- DS34: Kansas Population
- DS35: Kentucky Housing
- DS36: Kentucky Population
- DS37: Louisiana Housing
- DS38: Louisiana Population
- DS39: Maine Housing
- DS40: Maine Population
- DS41: Maryland Housing
- DS42: Maryland Population
- DS43: Massachusetts Housing
- DS44: Massachusetts Population
- DS45: Michigan Housing
- DS46: Michigan Population
- DS47: Minnesota Housing
- DS48: Minnesota Population
- DS49: Mississippi Housing
- DS50: Mississippi Population
- DS51: Missouri Housing
- DS52: Missouri Population
- DS53: Montana Housing
- DS54: Montana Population
- DS55: Nebraska Housing
- DS56: Nebraska Population
- DS57: Nevada Housing
- DS58: Nevada Population
- DS59: New Hampshire Housing
- DS60: New Hampshire Population
- DS61: New Jersey Housing
- DS62: New Jersey Population
- DS63: New Mexico Housing
- DS64: New Mexico Population
- DS65: New York Housing
- DS66: New York Population
- DS67: North Carolina Housing
- DS68: North Carolina Population
- DS69: North Dakota Housing
- DS70: North Dakota Population
- DS71: Ohio Housing
- DS72: Ohio Population
- DS73: Oklahoma Housing
- DS74: Oklahoma Population
- DS75: Oregon Housing
- DS76: Oregon Population
- DS77: Pennsylvania Housing
- DS78: Pennsylvania Population
- DS79: Rhode Island Housing
- DS80: Rhode Island Population
- DS81: South Carolina Housing
- DS82: South Carolina Population
- DS83: South Dakota Housing
- DS84: South Dakota Population
- DS85: Tennessee Housing
- DS86: Tennessee Population
- DS87: Texas Housing
- DS88: Texas Population
- DS89: Utah Housing
- DS90: Utah Population
- DS91: Vermont Housing
- DS92: Vermont Population
- DS93: Virginia Housing
- DS94: Virginia Population
- DS95: Washington Housing
- DS96: Washington Population
- DS97: West Virginia Housing
- DS98: West Virginia Population
- DS99: Wisconsin Housing
- DS100: Wisconsin Population
- DS101: Wyoming Housing
- DS102: Wyoming Population
- DS103: United States Housing
- DS104: United States Population
- DS105: Puerto Rico Housing
- DS106: Puerto Rico Population
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