Report · Culture

A slim majority don't favor male candidates over female ones

Reading

In a Verasight survey of 3,000 U.S. adults conducted Jan. 18 to 24, 2024, a slim majority don't favor male candidates over female ones; 26% agreed.

Another 51% disagreed. Another 23% were neutral or unsure.

Topline

response scale

Topline scale

A slim majority don't favor male candidates over female ones (26%).

Rank how much you agree or disagree with the following statement: I would rather vote for a male candidate for elected office than a female candidate.

  • Disagree 26.9%
  • Strongly disagree 24.3%
  • Not sure 22.8%
  • Agree 14.9%
  • Strongly agree 11.1%

2024 · base n 3,000 · +/- 3.5%

Verasight Interdisciplinary Omnibus Survey #2024-006

View source

Methodology

Full methodology
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Field dates
2024-01-18 → 2024-01-24
Base (unweighted)
3,000
Margin of error
+/- 3.5%
Module
Verasight Interdisciplinary Omnibus Survey #2024-006

Source

  • 01
    A slim majority don't favor male candidates over female onesreports.verasight.io/reports/verasight-interdisciplinary-omnibus-survey-2024-006

Citation

Verasight Interdisciplinary Omnibus Survey #2024-006, fielded January 18-24, 2024, N=3,000 United States adults, +/- 3.5%.

https://reports.verasight.io/reports/verasight-interdisciplinary-omnibus-survey-2024-006#rank-how-much-you-agree-or-disagree-with-the-following-statement-i-would-rather-vote-for-a-male-candidate-for-elected-office-than-a-female-candidate

Verasight survey methodology

How Verasight conducts surveys.

This page describes the Verasight general survey contract, separate from how the Data Library packages it. Each wave's specific field dates, sample sizes, and module breakdown are listed in that wave's report.

Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting.
Population
US adults age 18+.
Sample design
Surveys are run as omnibus or single-topic waves. Omnibus waves are split into modules with their own respondent set, typically around one thousand respondents per module.
Field window
Each wave specifies its own field dates. Most omnibus waves field across roughly two weeks.
Weighting
Per-module weighting to CPS targets including age, race and ethnicity, sex, income, education, region, and metropolitan status.
Partisanship benchmark
Pew Research Center's NPORS benchmarking surveys, three-year running average.
Vote benchmark
2024 presidential vote population benchmarks.
Margin of error
Typically about plus or minus 3.4 to 3.6 percent per module at standard module sizes. Question-level MoE is recomputed when a base shrinks materially below the module baseline.
Reporting
Every wave is published as a standalone report at verasight.io/reports with full instrument and methodology.
Transparency
Verasight is a member of the American Association for Public Opinion Research Transparency Initiative.

Wave-specific methodology, full weighting variable lists, and verbatim instrument text live in each report at verasight.io/reports.