A New Dataset Identifying LGBTQ2S+ Candidates in Canadian Federal Elections

Abstract This research note introduces a new publicly available dataset identifying which federal candidates are out as LGBTQ2S+. The dataset comprises 4,201 candidates who ran in 2015, 2019 and 2021 for the five parties that won seats in the House of Commons. In this research note, we describe the replicable procedure we followed to identify out LGBTQ2S+ candidates, which involved systematic individual candidate searches. This procedure identified 176 LGBTQ2S+ candidates in total, which is more than in previous datasets. We illustrate how the data can be used by documenting how LGBTQ2S+ candidates changed over time relative to straight cisgender candidates. This dataset will allow researchers to examine a range of questions about LGBTQ2S+ representation as well as conduct intersectional analyses.

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Publication Details

Journal
Canadian Journal of Political Science
Published
2025-10-10
DOI
https://doi.org/10.1017/s0008423925100395
Citations
2
Primary Topic
Gender Politics and Representation
Type
article
Field-Weighted Citation Impact
7.73

Funders

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article

A New Dataset Identifying LGBTQ2S+ Candidates in Canadian Federal Elections

Quinn M. Albaugh, Elizabeth Baisley
2 citations
Canadian Journal of Political Science
Gender Politics and Representation
7.73
article

A New Dataset Identifying LGBTQ2S+ Candidates in Canadian Federal Elections

Quinn M. Albaugh, Elizabeth Baisley
article en
2 citations

Abstract

Abstract This research note introduces a new publicly available dataset identifying which federal candidates are out as LGBTQ2S+. The dataset comprises 4,201 candidates who ran in 2015, 2019 and 2021 for the five parties that won seats in the House of Commons. In this research note, we describe the replicable procedure we followed to identify out LGBTQ2S+ candidates, which involved systematic individual candidate searches. This procedure identified 176 LGBTQ2S+ candidates in total, which is more than in previous datasets. We illustrate how the data can be used by documenting how LGBTQ2S+ candidates changed over time relative to straight cisgender candidates. This dataset will allow researchers to examine a range of questions about LGBTQ2S+ representation as well as conduct intersectional analyses.

Canadian Journal of Political Science
Queen's University (CA)
Queen's University
Openalex Percentile: Top 3%
Gender Politics and Representation
7.73
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