Baselight

Government Revenue, Expenditure And Main Aggregates

Eurostat code: gov_10a_main ยท (1975 - 2024)

@eurostat.gov_10a_main

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About this Dataset

Government Revenue, Expenditure And Main Aggregates

This Eurostat dataset contains data on government revenue, expenditure and main aggregates, as collected and published by the Statistical Office of the European Union.

Tables included:

  • raw: Original table as downloaded from Eurostat.
  • tidy: A cleaned and transformed version of the raw table, where time period values appear as rows instead of columns (unpivoted format).

Last updated: 2025-04-22T11:00:00+0200

Tables

Government Revenue, Expenditure And Main Aggregates - Raw

@eurostat.gov_10a_main.raw
  • 3.34 MB
  • 51951 rows
  • 55 columns
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CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "sector" VARCHAR,
  "na_item" VARCHAR,
  "geo" VARCHAR,
  "n_1975" DOUBLE,
  "n_1976" DOUBLE,
  "n_1977" DOUBLE,
  "n_1978" DOUBLE,
  "n_1979" DOUBLE,
  "n_1980" DOUBLE,
  "n_1981" DOUBLE,
  "n_1982" DOUBLE,
  "n_1983" DOUBLE,
  "n_1984" DOUBLE,
  "n_1985" DOUBLE,
  "n_1986" DOUBLE,
  "n_1987" DOUBLE,
  "n_1988" DOUBLE,
  "n_1989" DOUBLE,
  "n_1990" DOUBLE,
  "n_1991" DOUBLE,
  "n_1992" DOUBLE,
  "n_1993" DOUBLE,
  "n_1994" DOUBLE,
  "n_1995" DOUBLE,
  "n_1996" DOUBLE,
  "n_1997" DOUBLE,
  "n_1998" DOUBLE,
  "n_1999" DOUBLE,
  "n_2000" DOUBLE,
  "n_2001" DOUBLE,
  "n_2002" DOUBLE,
  "n_2003" DOUBLE,
  "n_2004" DOUBLE,
  "n_2005" DOUBLE,
  "n_2006" DOUBLE,
  "n_2007" DOUBLE,
  "n_2008" DOUBLE,
  "n_2009" DOUBLE,
  "n_2010" DOUBLE,
  "n_2011" DOUBLE,
  "n_2012" DOUBLE,
  "n_2013" DOUBLE,
  "n_2014" DOUBLE,
  "n_2015" DOUBLE,
  "n_2016" DOUBLE,
  "n_2017" DOUBLE,
  "n_2018" DOUBLE,
  "n_2019" DOUBLE,
  "n_2020" DOUBLE,
  "n_2021" DOUBLE,
  "n_2022" DOUBLE,
  "n_2023" DOUBLE,
  "n_2024" DOUBLE
);

Government Revenue, Expenditure And Main Aggregates - Unpivoted

@eurostat.gov_10a_main.tidy
  • 3.31 MB
  • 1107779 rows
  • 7 columns
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CREATE TABLE tidy (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "sector" VARCHAR,
  "na_item" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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