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title: "Tawkify's Age Gap Data Reveals Dating Double Standard"
description: "Tawkify's survey of 98,798 clients quantifies gendered age preferences, highlighting persistent double standards in dating. What does this mean for the indus…"
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![A man and woman with a noticeable age gap talking during a date.](https://images.pexels.com/photos/20026102/pexels-photo-20026102.jpeg?auto=compress&cs=tinysrgb&w=1200&h=220&fit=crop&fm=webp&q=50&dpr=1)

A man and woman with a noticeable age gap talking during a date.

[Data & Analytics](/news?category=data-analytics)

# Tawkify's Age Gap Data: A Quantified Double Standard in Dating

By [DII Data Team](/author/data-analytics)· June 11, 2026· 5 min read 

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Reviewed and updated: July 31, 2026

A A 

## Key Points

-   • A Tawkify survey of 98,798 US matchmaking clients revealed men would date partners 14.7 years younger on average, but only 8.76 years older. 
-   • The Tawkify study showed 95% of women were open to dating older partners, with an acceptable average age gap of 14.12 years. 
-   • Tawkify reported that 96.8% of men in Hawaii would date younger partners, accepting an average age gap of 18.59 years. 
-   • Tawkify found that Alaska women accepted the largest average age gap for older partners at 20.57 years, with 93.1% openness. 

The numbers are in, and they're brutal. Men across America will happily date a partner nearly 15 years their junior but draw the line at nine years older, whilst women show the mirror preference with almost mathematical precision. This isn't a marginal effect—it's a gendered age hierarchy reproduced at scale across nearly 100,000 paying matchmaking clients, and it's shaping match rates across every major dating platform.

The figures come from [Tawkify](/news/tawify-study-future-faking-online-dating), a US matchmaking service that surveyed its user base across all 50 states in 2024. These aren't casual swipers—they're people serious enough about partnering to hire professionals. That makes the persistence of these patterns more revealing, not less.

![Couple with significant age difference in conversation](https://images.pexels.com/photos/8498114/pexels-photo-8498114.jpeg)

Couple with significant age difference in conversation

## Women trade up in age, men trade down

Nationally, 95% of women surveyed said they were open to dating older partners, with an average acceptable gap of 14.12 years. Just 65.7% of men said the same, and their average ceiling was 8.76 years. Flip the question and the dynamic reverses: 96.5% of men would date younger partners (average gap: 14.7 years), compared to 88.1% of women (average gap: 7.14 years).

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[The pattern](/products/the-pattern) holds at the state level. Alaska topped the charts for women dating older, with 93.1% openness and an average acceptable age gap of 20.57 years. Delaware recorded the largest average gap for men willing to date older—11.26 years—but Wyoming had the highest openness rate at 71.7%.

For younger partners, Hawaii led for both genders: 96.8% of men were open to it (average gap: 18.59 years), and 92% of women (average gap: 9 years). This isn't marginal variation—it's a systematic difference wide enough to materially affect match rates on any platform using age filters as a primary sorting mechanism.

> The gap between what men and women will tolerate in either direction is wide enough to materially affect match rates, especially on platforms that use age filters as a primary sorting mechanism.

Hinge, Bumble (BMBL), and [Match Group](/news/match-group-shuts-down-archer-app)'s (MTCH) portfolio apps all allow users to set age ranges—and the data suggests men and women are setting those ranges in systematically different ways, with predictable consequences for who sees whom.

## Small pools, broad preferences

The states with the most flexibility on age also tend to be the least populated. Alaska, Wyoming, North Dakota—these aren't markets with deep benches. Hawaii is an outlier in a different way: its median age is 41.5 years, compared to the national 39.2, and the survey found unusually high openness to younger partners there.

![Mobile phone showing dating app interface](https://images.pexels.com/photos/7854110/pexels-photo-7854110.jpeg)

Mobile phone showing dating app interface

Whether that's driven by demographics, culture, or the simple maths of a geographically isolated dating market is unclear. What's clear is that stated preferences bend under supply constraints. Dating apps have long understood this—it's why [Tinder](/news/diesel-collaborates-tinder-pride-2026) will quietly show you profiles outside your stated radius if the local pool runs dry.

For operators, that raises a question: do you design for stated preferences or revealed ones? Most apps let users filter aggressively, then wonder why match rates are low. A handful—[Thursday](/news/thursday-acquires-thursday-com-domain-value), Feeld, The League at various points—have experimented with restricting filters to force broader consideration.

The trade-off is always the same: autonomy versus efficiency. The age-gap data suggests that users will compromise when they have to, but they won't do it voluntarily.

## The cultural reckoning that hasn't arrived

Large age gaps have become more socially scrutinised in recent years, particularly when the woman is much younger. The discourse around power imbalances, life-stage mismatches, and "grooming" has made its way from feminist theory into mainstream dating culture. But the Tawkify data suggests that cultural conversation hasn't translated into changed preferences—at least not among people actively [seeking](/news/seeking-cto-romance-fraud-growing) relationships through a matchmaking service.

The gendered asymmetry is too pronounced to be incidental. Women's willingness to date significantly older men—and men's preference for significantly younger women—maps onto [decades of research on mate selection, status, and perceived fertility](https://en.wikipedia.org/wiki/Age_disparity_in_sexual_relationships). It also maps onto the economic realities of gender and ageing: men's earnings and social capital tend to peak later and decline more slowly than women's perceived desirability.

> Dating apps don't create these dynamics, but they do amplify them. Age is one of the few datapoints that's both universally collected and universally filtered on, and most platforms display it prominently.

![Person reviewing dating profiles on smartphone](https://images.pexels.com/photos/5637599/pexels-photo-5637599.jpeg)

Person reviewing dating profiles on smartphone

That makes age-based sorting faster and more brutal than it would be in offline contexts, where other cues might soften the calculus. The result is a market that efficiently reproduces existing inequalities, then calls it user choice.

Tawkify's survey is promotional research—it ends with reassurances about communication and shared values—but the numbers are worth taking seriously. The dating industry has spent years talking about inclusivity, representation, and breaking down biases. Age is the frontier where almost none of that work has happened.

[Research shows that around 8% of male-female couples in Western countries have an age gap of 10 years or more](https://www.bbc.com/worklife/article/20220317-age-gaps-the-relationship-taboo-that-wont-die), yet [polling data reveals persistent gendered attitudes toward age-gap relationships](https://www.ipsos.com/en-us/news-polls/age-gap-dating). The data suggests it might be time to ask why.

## Key Takeaways

-   • Aggressive age filtering on platforms like Hinge and Bumble limits match rates due to asymmetrical gender preferences, forcing operators to balance filter restrictions against user autonomy. 
-   • Dating app operators in geographic markets with smaller population pools must adapt recommendation algorithms, as user age preferences expand when local supply constraints emerge. 

## Frequently Asked Questions

### What did the Tawkify 2024 age gap study reveal about men's dating preferences?

### How many Tawkify clients were surveyed in the age preference study?

### Which US state had the highest female openness to older dating partners in the Tawkify survey?

Cite this article

[Matchmaking](/tag/matchmaking)[Dating Apps](/tag/dating-apps)

D 

[DII Data Team](/author/data-analytics)

Data & Analytics Desk

The DII Data Team maintains the publication's trackers, market data and analytical reference hubs for the online dating industry.

[More articles by DII Data Team](/author/data-analytics)

### In this article

-   [Women trade up in age, men trade down](#section-0-women-trade-up-in-age-men-trade-down)
-   [Small pools, broad preferences](#section-1-small-pools-broad-preferences)
-   [The cultural reckoning that hasn't arrived](#section-2-the-cultural-reckoning-that-hasn-t-arrived)

### Mentioned in This Article

Companies 

[![Tawkify logo](https://img.logo.dev/tawkify.com?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)

Tawkify Dating Platform 



](/companies/tawkify)[![Seeking logo](https://img.logo.dev/seeking.com?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)

Seeking Dating Platform 



](/companies/seeking)[![Thursday logo](https://img.logo.dev/getthursday.com?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)

Thursday Dating Platform 



](/companies/thursday)[![Feeld logo](https://img.logo.dev/feeld.co?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)

Feeld Dating Platform 



](/companies/feeld)[![Match Group logo](https://img.logo.dev/mtch.com?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)

Match Group Dating Platform 

MTCH $31.42 ▼-1.20% 



](/companies/match-group)

Products 

[![Tawkify logo](https://img.logo.dev/name/Tawkify?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)Tawkify ](/products/tawkify)[![Bumble logo](https://img.logo.dev/name/Bumble?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)Bumble ](/products/bumble)[![Feeld logo](https://img.logo.dev/feeld.co?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)Feeld ](/products/feeld-app)[![Thursday logo](https://img.logo.dev/thursday.dating?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)Thursday ](/products/thursday)[![Tinder logo](https://img.logo.dev/tinder.com?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)Tinder ](/products/tinder)[![The Pattern logo](https://img.logo.dev/name/The%20Pattern?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)The Pattern ](/products/the-pattern)[![Seeking logo](https://img.logo.dev/name/Seeking?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)Seeking ](/products/seeking)[![Hinge logo](https://img.logo.dev/hinge.co?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)Hinge ](/products/hinge)[![HER logo](https://img.logo.dev/weareher.com?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)HER ](/products/her-app)[![The League logo](https://img.logo.dev/name/The%20League?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)The League ](/products/the-league)[![Lex logo](https://img.logo.dev/thisislex.app?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=64&format=png&fallback=monogram)Lex ](/products/lex-app)

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