Census of Governments, 1997: Employment Statistics (ICPSR 4422)

Version Date: May 29, 2014

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Principal Investigator(s):
United States. Bureau of the Census

Series:

https://doi.org/10.3886/ICPSR04422.v2

Version V2

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Summary

The United States Census Bureau conducts a Census of Governments every five years -- in years ending in "2" or "7" -- to collect information about employment in the United States. The 1997 Census included approximately 87,000 state and local governments. This collection includes information regarding full-time and part-time employment, part-time employee hours worked, full-time equivalent employment, and payroll statistics by type of government (state, county, city, township, special district, and school district), and by governmental function. Government functions include elementary and secondary education, higher education, police protection, fire protection, financial administration, other government administration, judicial and legal, highways, public welfare, solid waste management, and sewerage. This function information also includes parks and recreation, health, hospitals, water supply, electric power, gas supply, transit, natural resources, correction, libraries, air transportation, water transport and terminals, other education, state liquor stores, social insurance administration, and housing and community development.

Citation

United States. Bureau of the Census. Census of Governments, 1997: Employment Statistics. Inter-university Consortium for Political and Social Research [distributor], 2014-05-29. https://doi.org/10.3886/ICPSR04422.v2

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Subject Terms

Geographic Coverage

Smallest Geographic Unit

FIPS Place Code

Distributor(s)

Inter-university Consortium for Political and Social Research
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Time Period(s)

1997-03

Date of Collection

1997-03

Data Collection Notes

  1. For additional information on the Census of Governments, 1997: Employment Statistics, please refer to the United States Census Bureau Web site.

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Study Purpose

The purpose of the employment survey was to measure the number of public employees and their payrolls at a point in time according to a detailed cross-classification by function and type of employee (full- or part-time).

Sample

Data that are derived from a census are not subject to sampling variability.

Time Method

Cross-sectional

Universe

State and local governments in the United States.

Unit(s) of Observation

state governments, local governments

Data Source

Data in this report are based on information obtained in the 1997 Census of Governments from local government officials, except for certain school system governments.

Data Type(s)

Mode of Data Collection

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Original Release Date

2008-01-14

Version History

2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
  • United States. Bureau of the Census. Census of Governments, 1997: Employment Statistics. ICPSR04422-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2014-05-29. http://doi.org/10.3886/ICPSR04422.v2

2014-05-29 SPSS, SAS, and Stata setup files, as well as SPSS and Stata system files, a SAS transport (CPORT) file, a tab-delimited data file, and an R data file have been added to the collection. Additionally, a codebook has been created.

2008-01-14 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.
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Weight

Part 5 (Individual Local Governments Data File Restructured by Government Unit With Added Identifiers), Part 6 (Individual Local Governments Integrated Directory Data File), and Part 8 (State Employment and Payroll By Function Governments Integrated Directory Data File) all contain a weight variable named "WEIGHT" that users may wish to use in analysis.

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Notes