Tinder Statisics: Unique Data from 3,700+ Profiles

Unveiling the Reality of Online Dating Through Data

At Swipestats, we've dedicated ourselves to bringing transparency to the world of online dating through comprehensive data analysis. Our mission has always been to help users understand what's really happening behind the scenes of these platforms that have become central to modern relationships.

Recently, we shared our extensive dataset containing anonymized information from over 3,700 Tinder users with Zackary Smigel, a popular YouTuber for an in-depth analysis.

This collaboration allowed our data to reach a broader audience and spark important conversations about the current state of digital dating.

Check out his video here or keep reading to see all the Tinder and dating app statistics:

Key Tinder Statistics at a Glance

This is based on our unique dataset of over 3,700 profile uploads to Swipestats.io since launch in 2019.

App Usage

Men open the app 5,646 times on average (median: 2,224)
Women open the app 3,779 times on average (median: 1,931)
Male usage spikes significantly during summer months (May-July)

Messaging Activity

Women send 1,790 messages on average (median: 760)
Men send 1,474 messages on average (median: 371)
Women receive 2,727 messages on average (median: 1,372)
Men receive 1,224 messages on average (median: 321)

Swiping Behavior

Men swipe right (like) 16,368 times on average (median: 5,096)
Women swipe right 2,283 times on average (median: 989)
Women pass (swipe left) on 41,100 profiles on average (median: 19,553)
Men pass on 28,086 profiles on average (median: 10,051)

Match Rates

Women's average match rate: 30.7% (median: 32.96%)
Men's average match rate: 2.63% (median: 2.14%)
Women are 11-15 times more likely to match than men

Super Like Usage & Effectiveness

Men use 93.7 Super Likes on average (median: 1)
Women use 4.8 Super Likes on average (median: 0)
Top 1% of Super Like users (3,248 Super Likes) had a 1.94% match rate
Top 10% of Super Like users (705 Super Likes) had a 2.29% match rate

The Loneliness Epidemic and the Rise of Dating Apps

The timing of this data release couldn't be more relevant. Loneliness has been declared a global health concern by the World Health Organization, with the US Surgeon General comparing its health impact to smoking 15 cigarettes daily.

Meanwhile, the percentage of relationships starting online has climbed to 60% in 2024, making dating apps not just an option but the default way most couples now meet.

This intersection between rising loneliness and digital-first dating presents a paradox: tools designed to connect us may be contributing to our isolation. Our data helps explain why this contradiction exists and persists.

Gender Imbalance: The Foundation of Dating App Dynamics

One of the most significant findings from our dataset reveals a fundamental imbalance that shapes all other aspects of dating app experiences:

67% of dating app users are men, while only 33% are women

This 2:1 ratio creates a supply and demand disparity that affects everything from match rates to user behavior.

To visualize this: in a room of 100 dating app users, 67 would be men competing for the attention of 33 women—and even if every woman paired with someone, 34 men would remain unmatched before considering any compatibility factors.

How Users Actually Behave: Breaking Down the Data

Our analysis of user behavior reveals fascinating differences in how men and women approach and experience dating apps:

App Engagement Patterns

Men and women interact with dating apps at different frequencies and with different seasonal patterns:

Men open the app significantly more often (average: 5,646 times vs. women's 3,779)
The median numbers are closer (2,224 for men, 1,931 for women), indicating that while most users have similar habits, some men are extreme power users
Men show pronounced seasonal usage spikes during May-July, while women's usage remains relatively consistent throughout the year

Communication Dynamics

Contrary to popular assumptions, our data shows women are more active communicators on the platform:

Women send more messages on average (1,790) than men (1,474)
Women receive significantly more messages (2,727 on average) compared to men (1,224)
The median message receipt numbers are even more telling: 1,372 for women versus just 321 for men

This disparity in message reception creates vastly different experiences for users based on gender, with women potentially experiencing message overload while many men face sparse interactions.

Swiping Behavior and Selectivity

Perhaps the most striking differences appear in how users approach the fundamental swiping mechanism:

Men cast a much wider net, swiping right (liking) 16,368 times on average versus women's 2,283
Women are more selective, passing (swiping left) on 41,100 profiles on average, compared to men's 28,086
The median numbers confirm this pattern: men swipe right 5,096 times while women do so only 989 times

These numbers demonstrate fundamentally different approaches to the platform: men often employ a volume strategy while women tend to be more selective.

Match Rates: The Great Divide

The outcome of these behavioral differences manifests in dramatically different success rates:

Women have an average match rate of 30.7%, while men average just 2.63%
This means women are 11-15 times more likely to match with someone than men
Put another way, men need to swipe right on approximately 38 profiles to get one match, while women need only swipe right on about 3 profiles

The Super Like Myth

Our data provides unique insights into the effectiveness of paid features like Super Likes:

Men use far more Super Likes (93.7 on average) than women (4.8)
Most users (reflected in the median) don't use Super Likes at all (men: 1, women: 0)
The top 1% of Super Like users sent an astounding 3,248 Super Likes but had a match rate of just 1.94%—worse than the average man's 2.63%

This suggests that paid features like Super Likes may not only fail to improve outcomes but could potentially worsen them, raising questions about the value proposition of premium features.

The Illusion of Choice and Option Paralysis

Our data helps explain the phenomenon of "option paralysis" that affects many users, particularly women. When someone logs into an app and sees dozens or even hundreds of potential matches, the overwhelming number of choices can make decision-making more difficult, not easier.

This psychological effect, combined with the business model of dating apps that monetizes the sorting process, creates a system where having more options doesn't necessarily lead to better outcomes or experiences.

Beyond the Surface: What This Data Really Means

The insights from our dataset go beyond simple dating app statistics. They reveal structural issues with how dating platforms function:

Mathematical realities create inherently different experiences for men and women
Behavioral adaptations (like men's volume-based approach) emerge as responses to these realities
Paid features often don't deliver on their promises of improved outcomes
The business model of dating apps benefits from user frustration rather than success

As highlighted in Zackary Smigel’s recent video analysis of our data, the dating app ecosystem has created an environment where "the worse the experience gets, the more we buy into the idea that we are the problem."

This deflection of responsibility from platforms to users perpetuates a cycle of frustration and continued engagement.

Moving Forward: Data-Driven Dating

At Swipestats, we believe that understanding these dynamics is the first step toward improving the online dating experience. By providing transparency through data, we empower users to:

Set realistic expectations based on platform realities
Recognize when frustrations stem from system design rather than personal shortcomings
Make informed decisions about time and financial investment in these platforms
Consider alternative approaches to meeting potential partners

While we don't claim to have all the answers to fixing the modern dating crisis, we know that acknowledging the problems with the current system is essential.

The issue isn't men versus women, but rather how these platforms are designed to monetize the search for connection rather than facilitate it effectively.

For more insights and to analyze your own dating app data, go to our homepage here on Swipestats.

Additional sources:

The Truth Behind Dating Apps: What Our Dating App Statistics of 3,700+ Users Reveals