10.7910/DVN/TIH5FKGarnett, Holly AnnHolly AnnGarnett0000-0002-2119-4399Royal Military College. Queen's University. Department of Political Science and EconomicsJames, Toby S.Toby S.James0000-0002-5826-5461University of East Anglia. School of Politics, Philosophy, Language and Communication StudiesMacGregor, MadisonMadisonMacGregor0000-0002-4942-0474Royal Military College. Queen's University. Department of Political Science and EconomicsCaal-Lam, SofiaSofiaCaal-Lam0009-0007-1503-1853Royal Military College. Queen's University. Department of Political Science and EconomicsHarvard Dataverse2023LawSocial SciencesElectionsElectoral lawElectoral managementInternationalElection lawElectoral Integrity ProjectElectoral Integrity ProjectRoyal Military College. Queen's University. University of East AngliaMacGregor, MadisonMadisonMacGregorCaal-Lam, SofiaSofiaCaal-LamElectoral Integrity ProjectRoyal Military College. Queen's University. University of East Anglia2023-03-2020222023-03-162023-05-152020-05-01/2023-02-2823381812050488805application/pdftext/csvapplication/vnd.openxmlformats-officedocument.spreadsheetml.sheet1.1CC-BY 4.0This is a dataset of national election legislation from 165 countries. This study was conducted by Holly Ann Garnett, Toby S. James, Madison MacGregor, and Sofia Caal-Lam based at the Royal Military College of Canada, Queen’s University, and the University of East Anglia. Research was conducted from May 2020 to February 2023. The Electoral Legislation by Country dataset aims to provide a comprehensive compilation of relevant election laws for each country. This is a subset of a large data collection covering specific election laws relating to the following categories: Polling stations, voting methods, technology, identification, provisional/tendered ballots, registration model, and registration methods. It compliments research from the initial data collection with legislation and other relevant information found primarily through government websites, Electoral Management Bodies, and election observation reports from governmental and non-governmental organisations. This dataset can be downloaded in CSV and EXCEL formats.Kingston, ON, CanadaSocial Sciences and Humanities Research Council890-2020-0006