Constituency-Level Elections Archive (CLEA) Upper Chamber Elections Archive (ICPSR 39593)

Version Date: Mar 18, 2026 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
Ken Kollman, University of Michigan. Center for Political Studies; Allen Hicken, University of Michigan. Center for Political Studies; Daniele Caramani, University of Zurich (Switzerland); David A. Backer, University of Maryland; David Lublin, American University

https://doi.org/10.3886/ICPSR39593.v1

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Election results at the constituency level for elections to the upper chambers of national parliaments.

Kollman, Ken, Hicken, Allen, Caramani, Daniele, Backer, David A., and Lublin, David. Constituency-Level Elections Archive (CLEA) Upper Chamber Elections Archive. Inter-university Consortium for Political and Social Research [distributor], 2026-03-18. https://doi.org/10.3886/ICPSR39593.v1

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National Science Foundation, Taiwan Foundation for Democracy

Countries

Inter-university Consortium for Political and Social Research
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1906-01-01 -- 2020-12-31
  1. For additional information on the Constituency-Level Elections Archive study, please visit the CLEA website.
  2. Country codes found in the data and documentation were developed by the United Nations.
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The purpose of the Constituency-Level Elections Archive (CLEA) project is to produce a repository of detailed electoral results - i.e., votes received by each candidate or party, total votes cast, number of eligible voters - at the constituency level for the upper chamber legislative elections that have been conducted around the world.

Time Series

Upper chamber elections from countries across the world.

Amount of eligible voters within first or second round elections, political parties, and election year for upper chamber elections are some of the data collected in this study.

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2026-03-18

2026-03-18 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:

  • Created variable labels and/or value labels.
  • Created online analysis version with question text.
  • Checked for undocumented or out-of-range codes.

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Notes