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Annual Survey of State Government Finances 1992-2017

Version
V0
Resource Type
Dataset : administrative records data, census/enumeration data
Creator
  • Kaplan, Jacob (University of Pennsylvania)
Publication Date
2019-01-03
Free Keywords
state government; government finance; government budget; federal budget; taxes; government revenue; budgets
Description
  • Abstract

    Version 2 Release Notes
    • Adds 2017 data. R and Stata files now available.

    The .csv file includes data from the years 1992-2016. No data was changed. Only column names were changed to standardize it across years. Some columns (e.g. Population) that are not in all years are removed. Amounts are in thousands of dollars.
    The zip file includes all raw (completely untouched, see code for how I downloaded it) files for years 1992-2016.

    From the Census, "The Annual Survey of State Government Finances provides a comprehensive summary of the annual survey findings for state governments, as well as data for individual states. The tables contain detail of revenue by source, expenditure by object and function, indebtedness by term, and assets by purpose." (link to this quote is below)

    All code to download and clean the data is here. https://github.com/jacobkap/government_finances

    Information from the U.S. Census about the data is here. https://www.census.gov/programs-surveys/state/about.html


  • Technical Information

    Response Rates: All states have data for all years. In a few years, some values (e.g. expenditure liquor stores) are missing. Overall, almost compete data.
Temporal Coverage
  • 1992-01-01 / 2017-12-31
    Time Period: Wed Jan 01 00:00:00 EST 1992--Sun Dec 31 00:00:00 EST 2017
Geographic Coverage
  • State and national
Sampled Universe
State and national government
Smallest Geographic Unit: State and national
Availability
Download

Update Metadata: 2019-11-20 | Issue Number: 1 | Registration Date: 2019-11-20

Kaplan, Jacob (2019): Annual Survey of State Government Finances 1992-2017. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E101880