Gender, Party, and Primary Turnout

A substantial literature documents persistent gender gaps in voter turnout in general elections, yet far less is known about whether these disparities extend to low-salience contests such as congressional primaries. This omission is consequential, as primary elections increasingly determine representation in Congress due to partisan gerrymandering and declining general election competitiveness. This study investigates whether a gender gap exists in congressional primary turnout and whether it varies by party. Using individual-level administrative voter-file data from all fifty states, we analyze turnout in the 2018 and 2022 congressional primaries, leveraging panel models that account for prior voting behavior. The data include five million observations and avoid common biases associated with survey-based turnout measures. We find a small but significant overall gender gap in congressional primary turnout, with women more likely to participate than men, consistent with research findings that women are stronger partisans. However, there is substantial partisan asymmetry: Republican women are significantly more likely than Republican men to vote in primaries, whereas Democratic women are equally or less likely to vote in primaries, depending on the electoral context. These findings suggest that gender gaps in primary participation are driven by women’s partisan attachment and party-specific mobilization dynamics, with implications for representation.

Authors

Institutions

Publication Details

Journal
Political Research Quarterly
Published
2026-02-18
DOI
https://doi.org/10.1177/10659129261426024
Primary Topic
Gender Politics and Representation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gender, Party, and Primary Turnout

Robert G. Boatright, Caroline J. Tolbert, Samantha DeRagon
Political Research Quarterly
Gender Politics and Representation
article

Gender, Party, and Primary Turnout

Robert G. Boatright, Caroline J. Tolbert, Samantha DeRagon
article en

Abstract

A substantial literature documents persistent gender gaps in voter turnout in general elections, yet far less is known about whether these disparities extend to low-salience contests such as congressional primaries. This omission is consequential, as primary elections increasingly determine representation in Congress due to partisan gerrymandering and declining general election competitiveness. This study investigates whether a gender gap exists in congressional primary turnout and whether it varies by party. Using individual-level administrative voter-file data from all fifty states, we analyze turnout in the 2018 and 2022 congressional primaries, leveraging panel models that account for prior voting behavior. The data include five million observations and avoid common biases associated with survey-based turnout measures. We find a small but significant overall gender gap in congressional primary turnout, with women more likely to participate than men, consistent with research findings that women are stronger partisans. However, there is substantial partisan asymmetry: Republican women are significantly more likely than Republican men to vote in primaries, whereas Democratic women are equally or less likely to vote in primaries, depending on the electoral context. These findings suggest that gender gaps in primary participation are driven by women’s partisan attachment and party-specific mobilization dynamics, with implications for representation.

Political Research Quarterly
University of Iowa (US), Clark University (US)
Gender equality
Openalex Percentile: Top 55%
Gender Politics and Representation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.