Asian Men Dating Statistics (2026): 14 Studies, All Sourced

By Ravi Sandhu · 23 October 2026 · 15 min read

If you're an Asian or Indian man dating in the West and you've wondered whether the numbers really are against you, the published research gives a fairly clear answer: on average, yes, especially on dating sites and apps. Women of most races reply to Asian men less often, rate them lower on dating sites, and exclude them more often in their stated preferences. Top films rarely show Asian men as romantic leads. The research also shows that these preferences are learned, vary by where people grew up, and shift with exposure. That matters, because what's learned can be changed.

This page summarises the strongest published evidence we could verify, with the numbers, the samples and the limits of each study. It was compiled by Ravi Sandhu, founder of Naturally Magnetic Men; his team has coached over 100 Brown and Asian men. We've linked every source so you can check it yourself.

Key findings

• Asian men got fewer replies on OkCupid. In a 2009 analysis of the messaging habits of over a million users, Asian women replied to non-white men 21.9% of the time, Hispanic women 22.9% and white women 23.0%. White men got more replies from almost every group [1].
• Black, Latina and white women rated Asian men below average. OkCupid's 2009 ratings data showed white women rating Asian men 12% below average, Black women 11% below and Latina women 16% below. Asian women rated Asian men 10% above average, and white men 16% above [2].
• The bias didn't fade with time. Revisiting the data in 2014, with some 25 million accounts, OkCupid found users were no more open-minded than in 2009, even though their stated attitudes had become less biased [2].
• Speed dating showed the same gap face to face. In a Columbia University speed-dating experiment, women said yes to 40% of white men and 25% of Asian men. White women said yes to 16% of Asian men [3].
• Higher income didn't buy acceptance. A study of 6,070 US dating profiles found that higher-earning groups, including Asian Indians, Middle Easterners and Asian men, were highly excluded, and that Asian men were more excluded than Asian women [7].
• Fewer Asian American men were in relationships. In a national US sample of 11,555 young adults, 65% of Asian men were in a relationship, compared with 80% of white men. Asian and white women were similar (82% and 84%) [8].
• Film rarely shows Asian men as romantic. Of 1,300 top-grossing films from 2007 to 2019, only 44 (3.4%) had an Asian or Pacific Islander lead or co-lead. In 2019's top films, 58% of Asian and Pacific Islander men had no romantic relationship [10].
• In the UK, South Asians mostly partner within their own group. In 2011, 12% of Indian, 9% of Pakistani and 7% of Bangladeshi people living as a couple in England and Wales were in an inter-ethnic relationship [12].

What the dating-app data shows

The best-known evidence comes from OkCupid's own research blog, OkTrends, written by co-founder Christian Rudder. In October 2009 he analysed first messages and replies across more than a million users [1]. To make the comparison fair, OkCupid preselected users so that rated attractiveness was roughly even across each race and gender group, and evened out height for men. Even so, Asian, Hispanic and white women all replied to non-white men less than a quarter of the time (21.9%, 22.9% and 23.0%).

In 2014 Rudder revisited the topic with data from about 25 million accounts [2]. His table for 2009 showed how each group rated the others compared with the average. White women rated Asian men 12% below average, Black women rated them 11% below and Latina women 16% below. His summary of 2009 was that women preferred men of their own race and otherwise penalised Asian and Black men. Five years later, he wrote, racial bias had "intensified a bit", even as users' answers to questions about race became less biased. He also reported the same pattern on DateHookup, a separate site with a different user base.

Academic studies using other dating sites agree. Hitsch, Hortaçsu and Ariely studied 3,004 men and 2,783 women on a US dating site in Boston and San Diego in 2003 [4, 5]. They found strong same-race preferences, and those preferences barely changed with women's age, income or education. In their model of who contacts whom, white women's estimated penalty for an Asian man was larger than for any other group of men, roughly twice the size of the penalty for a Black man [4].

Lin and Lundquist, using data from one of the largest US dating websites, found that people mostly contact their own race, and that a racial hierarchy appears in who replies: women respond only to men of similar or more dominant racial status [6]. Robnett and Feliciano's study of 6,070 US dating profiles is one of the few to name Indian men directly. Asian Indians, Middle Easterners and Asian men were highly excluded, despite being higher-earning groups, and Asian men were more excluded than Asian women [7].

The pattern also shows up outside dating sites. Balistreri, Joyner and Kao used the US Add Health study, a national sample of 11,555 young adults mostly aged 25 to 32 [8]. Of the Asian men, 65% were in a relationship, compared with 80% of white men. After controlling for income, education, height and interviewer-rated attractiveness, Asian men still had significantly lower odds of being in a relationship. Asian women showed no such gap. The authors concluded that a racial hierarchy explains the result better than money, looks or culture. In a 2018 follow-up for the journal Contexts, they summarised it plainly: socioeconomic success doesn't yet mean social or sexual acceptance for Asian American men [9].

Speed-dating and experiment evidence

App data can't tell you why someone didn't reply. A controlled experiment can get closer. Fisman, Iyengar, Kamenica and Simonson ran speed-dating events for Columbia University graduate students from 2002 to 2004, with 412 participants in the working-paper sample [3]. Each person had four-minute conversations and ticked yes or no for every partner.

The published paper's headline finding is that women show stronger same-race preferences than men. In the working-paper tables, women said yes to 40% of white men and 25% of Asian men. White women said yes to 38% of white men and 16% of Asian men. Asian women were the exception, saying yes to white men (45%) and Asian men (44%) at almost the same rate.

The same study found that the preference is not fixed. People who grew up in ZIP codes with more people of other races, and those from places with more tolerant racial attitudes, showed weaker same-race preferences. Older participants showed weaker preferences too. In sessions where people were asked to bring a favourite book or magazine, drawing attention to shared interests, the racial preference weakened. And 47% of all matches in the study were interracial, far above the US interracial marriage rate of the time.

Two cautions. The Asian participants were mostly East Asian, and the authors left out South Asian participants because there were too few to study separately. The working paper also reports that the Asian men in the pool received lower attractiveness ratings from women, which explains part of the gap. Those ratings were given by the same women after a four-minute conversation, so they aren't a neutral measure of looks. As Rudder argued with the OkCupid data, beauty standards are set by the dominant culture [2].

Media representation

Preferences are learned somewhere. One place is the screen. The USC Annenberg Inclusion Initiative studied 1,300 top-grossing films from 2007 to 2019 [10]. Only 44 films (3.4%) had an Asian or Pacific Islander lead or co-lead, and 14 of those starred Dwayne Johnson. Of the 22 actors behind those leads, 8 were South Asian. Across 51,159 speaking characters, 5.9% were Asian or Pacific Islander.

In a closer look at 79 Asian and Pacific Islander characters in 2019's top films, the researchers found that 58% of the men had no romantic relationship, compared with 37.5% of the women. Among the Asian men, 14.5% were directly emasculated by how other characters spoke to or about them.

If a woman grows up seeing Asian men as the sidekick, the scientist or the punchline, and almost never as the love interest, that image is in her head before she sees your profile. That's conditioning, not a verdict on any individual man.

The UK picture

Most of this research is American. UK evidence on dating preferences by race is thin, and we couldn't find a published UK study of dating-app replies by ethnicity. What exists is census data on who actually partners with whom.

The Office for National Statistics found that in 2011, 9% of people living as a couple in England and Wales were in an inter-ethnic relationship, up from 7% in 2001 [12]. South Asian groups were among the least likely: 12% for Indian, 9% for Pakistani and 7% for Bangladeshi people, compared with 4% for White British. The biggest gender gap was in the Chinese group, where women (39%) were almost twice as likely as men (20%) to be in an inter-ethnic relationship.

The ONS itself says cultural, racial and religious differences likely play a part in the low South Asian rates, so these figures reflect choice within communities as well as exclusion from outside. By the 2021 Census, 10.1% of households in England and Wales included people from two or more ethnic groups, up from 8.7% in 2011, and in 5.7% the ethnic groups differed within a partnership [13].

The closest European evidence is Potârcă and Mills' study of online daters in nine European countries [14]. They found people everywhere prefer same-race partners, with a clear hierarchy, but that Europeans in countries with larger foreign-born populations were more open to minority partners. The UK isn't confirmed as one of the nine countries, so treat this as context rather than UK data.

Where do Asian men have the best dating odds?

No study ranks cities or apps for Asian men, so be wary of any page that claims to. What the research does show is the kind of setting where the gap is smaller.

• Diverse places. In the Columbia experiment, people who grew up in ZIP codes with more people of other races showed weaker same-race preferences [3]. In Potârcă and Mills' European study, online daters in countries with larger foreign-born populations were more open to minority partners [14]. In practice, that points to big, mixed cities over small, homogeneous towns.
• Settings built around shared interests. When speed-daters were nudged to talk about a favourite book or magazine, the racial preference weakened [3]. Clubs, classes and interest-based events give people that context. A cold swipe doesn't.
• Older daters. Older participants in the same study showed weaker same-race preferences [3].
• Asian women. Asian women were the exception in the Columbia data, saying yes to Asian men (44%) and white men (45%) at almost the same rate [3]. On OkCupid in 2009 they rated Asian men 10% above average [2].

From our own coaching, location matters, but it isn't the whole story. Ravi spent 10 months in Budapest getting barely one dating match a month. After he changed how he dated, the same city went well, and Mexico went better still. This is how he summed it up:

"Frankly, the lesson was much of it was me, much of it was also the location, and just not knowing how to optimise for the right location."

For how this plays out city by city, see our guides to Toronto, London and New York, and for choosing the right app in your city, the best dating apps for Indian men.

Why Asian and Indian men struggle on dating apps

The studies above measure the gap. They don't show why it hits hardest on an app. In the first 4 seconds on your profile, she's answering four questions, mostly without knowing she's asking them:

• Is he safe or unsafe?
• Is he high value or low value?
• Does he have options?
• Does he know who he is?

A typical Brown or Asian profile answers the first one well. He looks safe, kind and employable. The other three come back blank, so she swipes left. That's the screen stereotype at work: the nice, safe, studious guy who makes a good friend and a forgettable match. He wasn't rejected. He was filtered, before she read a word of his bio.

Ravi has seen how strong this effect is with his own profile. Same photos, same bio. Under the name "Ravi" it got nowhere. Under the name "Rob" the results were completely different (the full name test). Nothing about him changed except the box she put him in.

He also knows where the conditioning starts. He grew up in a small industrial town outside London, in the Punjabi Sikh community. By 16 or 17 he was hearing girls at school say they'd never date an Indian guy, or a Brown guy. Now he sees it for what it was: young people repeating what they'd absorbed. It wasn't about him, and it isn't about you. It's social conditioning, the same learned preference the research describes.

At 30 he'd never kissed a girl. He was anxious, he'd been housebound with agoraphobia in his twenties, and he'd been 275 lbs at his worst. When he finally went for it, the apps were brutal. Getting his first match online took six months of new photos, and at one point he went on 50 dates in a row that went nowhere. This is how he put it when he recorded his story, looking back on what Coach D's boot camp in New York showed him:

"I learned it's not necessarily my looks and race even though I was made to feel that way in my life and even though it was real what I experienced … I self-segregated myself to make other people feel comfortable … I put limits on myself."

"The biggest thing I learned was that there is equalizers in this world. Even if you're brown, even if you're not the best looking … there's tools for the underdog in this world to make it too."

Most of the men who come to us have already tried better photos, a different app or the gym, and ended up with better photos of the same stereotype. The profile we see most leads with a professional headshot, then a solo holiday shot smiling at the camera, then a group photo where she can't tell which one he is. Nothing is wrong with it, and that's exactly what's wrong with it. It tells her he's decent, qualified and harmless. A woman isn't hiring you. She's deciding whether she feels attracted to you.

A quick self-check before your next swipe:

• Is my first photo a headshot or a formal shot?
• Am I smiling straight at the camera in most of my photos?
• Could my bio sit on another man's photos and still make sense?
• Does every photo show the same man?
• Are the women I want actually on this app, in this city?

If you answered yes to the first three, or no to the last two, you've found your starting point.

The limits of this research

Be careful with any page, including this one, that turns these studies into a single scary number.

• The data is old. The most quoted dating-site figures come from 2003 to 2014, before Hinge and today's version of Tinder. Nobody has published comparable app data on Asian men since.
• It's mostly American. Racial categories, history and demographics differ in the UK, Canada, Australia and Europe. For how dating plays out for South Asian men city by city, see our guides to Toronto, London and New York.
• "Asian" hides big differences. Most studies lump Indian, Pakistani, Chinese, Korean and Filipino men together, or leave South Asians out. In Add Health, Filipino American men did not differ from white men in relationship rates [8].
• Averages aren't individuals. A 12% average penalty describes a population, not your next match.
• Self-report undercounts it. OkCupid users said they were less biased over time while behaving the same [2]. Surveys of attitudes likely understate the gap.
• Newer surveys can't see it. Pew's 2023 survey of 6,034 US adults found 30% had used a dating site or app, but with only 234 Asian adults in the sample, Pew did not report Asian users' experiences of dating apps separately [11].

Help fill the gap. Because almost no recent data separates Asian and South Asian men, we're running the 2026 Dating Survey for Brown and Asian Men: 12 anonymous questions, about two minutes. Take the survey. We'll publish the results here, with the sample size and method.

What it means and what doesn't change

The research describes a real, measurable headwind. It doesn't say Asian and Indian men are unattractive, and it doesn't say women are the problem. It says most people, men and women, carry learned preferences shaped by where they grew up, what they watched and who they met.

The same studies show those preferences move. Exposure to other races weakens them [3]. Shared interests weaken them [3]. Filipino American men, who are often seen differently from other Asian groups, show no relationship gap at all [8]. That points to perception, and perception responds to how a man presents himself.

The research also suggests what won't work. Income and education alone didn't close the gap [7, 8], so a profile that reads like a CV won't do it either. What changes the first read is positioning: the photos, the style, the prompts and the places you date. In our experience, that is learnable. We explain why the stereotype tends to get there before your profile does in the section above on why Asian and Indian men struggle on dating apps, and how to choose where you date in the best dating apps for Indian men.

None of this means it's hopeless. Nearly half the matches in the Columbia study crossed racial lines [3]. The averages are real, but they describe a starting point, not where you finish.

What to do with this. If you want to see how your own profile reads in those first few seconds, get a free Hinge profile review. For the checklist we use with clients, see Hinge profile review: 12 things we check. And if you're weighing up getting help, here's what a good dating coach for men does.

How to cite this page

Naturally Magnetic Men (2026). Dating as an Asian or Indian man in the West: what the research says (2026). naturallymagneticmen.com/blog/what-the-research-says-dating-asian-indian-men

Sources

1. Rudder, C. (2009, 5 October). How your race affects the messages you get. OkTrends (OkCupid). Archived copy: gwern.net
2. Rudder, C. (2014, 10 September). Race and attraction, 2009-2014. OkTrends (OkCupid). Archived copy: gwern.net
3. Fisman, R., Iyengar, S. S., Kamenica, E. and Simonson, I. (2008). Racial preferences in dating. Review of Economic Studies, 75(1), 117-132. doi.org/10.1111/j.1467-937X.2007.00465.x. Table figures from the 2006 working paper: Columbia Business School PDF
4. Hitsch, G. J., Hortaçsu, A. and Ariely, D. (2010). Matching and sorting in online dating. American Economic Review, 100(1), 130-163. doi.org/10.1257/aer.100.1.130
5. Hitsch, G. J., Hortaçsu, A. and Ariely, D. (2010). What makes you click? Mate preferences in online dating. Quantitative Marketing and Economics, 8(4), 393-427. doi.org/10.1007/s11129-010-9088-6
6. Lin, K.-H. and Lundquist, J. (2013). Mate selection in cyberspace: the intersection of race, gender, and education. American Journal of Sociology, 119(1), 183-215. doi.org/10.1086/673129
7. Robnett, B. and Feliciano, C. (2011). Patterns of racial-ethnic exclusion by internet daters. Social Forces, 89(3), 807-828. doi.org/10.1353/sof.2011.0008
8. Balistreri, K. S., Joyner, K. and Kao, G. (2015). Relationship involvement among young adults: are Asian American men an exceptional case? Population Research and Policy Review, 34(5), 709-732. Full text on PubMed Central
9. Kao, G., Balistreri, K. S. and Joyner, K. (2018). Asian American men in romantic dating markets. Contexts, 17(4), 48-53. doi.org/10.1177/1536504218812869
10. Yuen, N. W., Smith, S. L., Pieper, K., Choueiti, M., Yao, K. and Dinh, D. (2021). The prevalence and portrayal of Asian and Pacific Islanders across 1,300 popular films. USC Annenberg Inclusion Initiative. Report PDF
11. Vogels, E. A. and McClain, C. (2023, 2 February). Key findings about online dating in the U.S. Pew Research Center. pewresearch.org
12. Office for National Statistics (2014, 3 July). What does the 2011 Census tell us about inter-ethnic relationships? ons.gov.uk
13. Office for National Statistics (2022, 29 November). Ethnic group, England and Wales: Census 2021. ons.gov.uk
14. Potârcă, G. and Mills, M. (2015). Racial preferences in online dating across European countries. European Sociological Review, 31(3), 326-341. doi.org/10.1093/esr/jcu093