Data project: Constituency-Level Elections Archive (CLEA) (Daniele Caramani, Ken Kollman et al.)

Lijphart, Przeworski and Verba Dataset Award (APSA)

The central aim of the CLEA project is to produce a repository of detailed results – including votes received by each candidate/party, total votes cast, number of eligible voters, and seat figures – at a constituency level for the lower house legislative elections that have been conducted around the world. The goal is to preserve and consolidate these data in one comprehensive and reliable reference 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, policy-making and evaluation. The project is carried out in collaboration with Ken Kollman and Allen Hicken (University of Michigan), and David Backer (University of Maryland).


  • US National Science Foundation, University of Michigan, Institute of Political Science.


  • Kollman, Ken et al. (2014). GeoReferenced Electoral Districts Dataset (Beta). Ann Arbor, MI: Center for Political Studies, University of Michigan.