What gender breakdown characterizes active Trump supporters in 2024?

Checked on February 7, 2026
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Executive summary

Active Trump supporters in 2024 skewed male but not overwhelmingly so: multiple national surveys and exit polls show men backed Trump by substantially higher margins than women (for example, an Edison exit poll put the gender gap at roughly 10 points: 55% of men vs. 45% of women) [1], while other post‑election analyses report men favoring Trump by roughly 11 points overall (54% Trump vs. 43% Harris) [2]. That general male tilt masks large variations by race, age and education—white men and non‑college voters were especially concentrated among Trump’s base, while gaps among younger cohorts and racial groups show more complex patterns [3] [4] [5].

1. The headline numbers: men more pro‑Trump, women less so

Across mainstream exit polls and post‑election surveys, men were noticeably more likely to support Trump than women: the Edison exit poll and CAWP synthesis reported a roughly 10‑point gender gap with 55% of men and 45% of women for Trump [1], while Navigator Research summarized that men voted for Trump by an 11‑point margin overall (54% Trump – 43% Harris) [2]; Pew’s later analysis also noted that men supported Trump by a wider margin than in 2020 [6].

2. Race and education reframe the gender story

Gender differences are not uniform: white voters of both sexes provided the backbone of Trump’s coalition, with white men more likely than white women to back him (AP VoteCast and PBS report white men at about 59% and white women at about 53% for Trump in 2024) [3] [7], and white non‑college voters showed the largest pro‑Trump margins of any group [6] [5]. Conversely, among many minority groups the gender divide was sharper—AP data show wider splits such as 24% of Black men versus 9% of Black women supporting Trump [3], and reporting from The Independent pointed to similar Black male/female divergences [8].

3. Youth complicates the male/female split

Younger Americans moved toward Trump in 2024, but gendered patterns remained: young men increased support more than young women, with CIRCLE reporting about 56% of young men saying they voted for Trump and young women moving from 33% to 40% support [9], while CAWP noted an 11‑point gender gap among the young that was actually smaller than in 2020 [4]. Analysis from El País and other outlets also flagged gains among both young men and women for Trump, undercutting narratives that the youth shift was concentrated solely among males [10].

4. Turnout and “active” support: men’s higher turnout amplified impact

Several analysts emphasize that the 2024 result reflected not just vote switching but differential turnout, with Republican‑leaning voters more likely to cast ballots (Pew) and very high party loyalty among Republicans (95% voted for their party’s candidate) [6]. Polling that tracks active approval after the election found younger men—who were a key active cohort for Trump—showing more volatility in ongoing approval ratings, suggesting the composition of “active supporters” can shift quickly [11].

5. What this does and doesn’t prove—limits and alternate interpretations

The body of evidence consistently shows a male tilt among Trump backers in 2024 across surveys and exit polls [1] [2] [3], but that headline masks important cross‑cutting cleavages by race, education and age [5] [4]. Sources differ slightly in magnitude and framing—some emphasize a steady white‑female majority for Trump in certain subgroups [4] [7], others highlight rising minority male support [8]—and most data are from exit polls or opt‑in panels with their usual methodological caveats, so “active supporter” should be read as referring to voters and current partisan cohorts captured in these surveys rather than a singular, stable demographic bloc.

Want to dive deeper?
How did education level intersect with gender in Trump’s 2024 support?
Which age cohorts shifted most toward Trump in 2024, and how did gender shape those shifts?
How do exit‑poll methodologies and post‑election surveys differ in estimating gender gaps?