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The Constituency-Level Elections Archive (CLEA) is a repository of detailed election results at the constituency level for lower house legislative elections from around the world. Our motivation is to preserve and consolidate these valuable data in one comprehensive and reliable resource that is ready for analysis and publicly available at no cost. This public good is expected to be of use to a range of audiences for research, education, and policy-making.

For more information about CLEA, please visit the About Us page.


The latest CLEA data release (Release 9 - 20161024) includes 89 new elections from 27 countries, increasing our coverage to a total of 1,720 elections from 142 countries.

Elections from six new countries and territories are included: Aruba, Faroe Islands, Greenland, Slovakia, Vanuatu, and Venezuela.

Following the previous release, we continue to provide additional data formats in separate files for ease of use. CLEA data are available in Stata, SPSS, R, and SAS formats, and as a tab-delimited text file for import into Excel. Appendix II (Party Codes) is also available as an Excel file. Additionally, a supplemental file with candidate codes and names in native languages for Japan, Taiwan, Thailand and Ukraine is now provided.

The party nationalization datasets will be released shortly. The three party nationalization datasets from the previous release will remain on our website until then.

We'd like to thank our users for bringing errors and new data to our attention. These have been addressed in the latest release, and the list of changes and corrections can be found at the Data Center, under the Errata section.


The co-directors of the CLEA project are:

Ken Kollman, University of Michigan
Allen Hicken, University of Michigan
Daniele Caramani, University of Zurich
David Backer, University of Maryland
David Lublin, American University

CLEA is grateful for support received from the National Science Foundation, the Taiwan Foundation for Democracy, the Center for Political Studies, the Director's Office of the Institute for Social Research, and the University of Michigan Office of Research and to the many contributors who provide election results and expertise.

This project would not be possible without the assistance of graduate and undergraduate students.