A data profile of the people who buy, follow and care about Tinder in Germany — modelled from more than twelve digital signal sources. Tinder has an estimated audience of 1,897,657 people in Germany.
The average Tinder fan in Germany is 28.4 years old, more male, and lives primarily in Bayern.
The audience is concentrated in Bayern, Nordrhein-Westfalen, Baden-Württemberg.
Top brand affinities include Home insurance, Sex and the City, Manolo Blahnik, with strongest over-indexing on Home insurance (23.97× the country average).
Demographically, the Tinder audience skews more male with an average age of 28.4, and over-indexes on personality traits such as Travelling, Early Adopter Mentality.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical Tinder fan in Germany is more male, around 28.4 years old, with strong Travelling tendencies and a notable affinity for Home insurance.
The key figures that characterise the Tinder profile in Germany.
39.2% are female, 60.8% are male, average age 28.4.
| Metric | Value |
|---|---|
| Female | 39.2% |
| Male | 60.8% |
| Average age | 28.4 |
| Estimated audience size | 1,897,657 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 52% | |
| 20-29 | 21% | |
| 30-39 | 13% | |
| 40-49 | 9% | |
| 50+ | 5% |
of the worldwide Tinder audience comes from Germany.
| Country | Share |
|---|---|
| United States | 10.6% |
| Brazil | 10.0% |
| Italy | 6.0% |
Where the Tinder audience in Germany is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Saarland | ~30K | 1.33× | |
| 02 | Schleswig-Holstein | ~90K | 1.27× | |
| 03 | Bayern | ~400K | 1.21× | |
| 04 | Mecklenburg-Vorpommern | ~40K | 1.08× | |
| 05 | Sachsen-Anhalt | ~50K | 1.04× | |
| 06 | Brandenburg | ~60K | 1.02× | |
| 07 | Baden-Württemberg | ~300K | 1.00× | |
| 08 | Thüringen | ~50K | 1.00× | |
| 09 | Niedersachsen | ~200K | 0.98× | |
| 10 | Sachsen | ~90K | 0.98× | |
| 11 | Rheinland-Pfalz | ~90K | 0.95× | |
| 12 | Nordrhein-Westfalen | ~300K | 0.85× | |
| 13 | Hessen | ~100K | 0.84× | |
| 14 | Hamburg | ~40K | 0.83× | |
| 15 | Bremen | ~10K | 0.83× | |
| 16 | Berlin | ~70K | 0.80× |
The strongest cross-interests of the Tinder audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Home insurance | Business & Career | 23.97× | ||
| 02 | Shangri-La | Travel & Leisure | 22.56× | ||
| 03 | John Galliano | Fashion & Accessoires | 18.64× | ||
| 04 | Manolo Blahnik | Fashion & Accessoires | 17.89× | ||
| 05 | Travel insurance | Travel & Leisure | 8.56× | ||
| 06 | Sex and the City | Movies & TV | 7.89× | ||
| 07 | Online dating service | Internet & Social Media | 4.82× | ||
| 08 | Longchamp | Fashion & Accessoires | 4.78× | ||
| 09 | Jean Paul Gaultier | Fashion & Accessoires | 4.74× | ||
| 10 | Millie Bobby Brown | Movies & TV | 4.57× | ||
| 11 | Breaking Bad | Movies & TV | 4.29× | ||
| 12 | Harry Styles | Music & Radio | 4.06× | ||
| 13 | Natalie Portman | Movies & TV | 3.70× | ||
| 14 | Angelina Jolie | Movies & TV | 3.42× | ||
| 15 | YouTube Music | Internet & Social Media | 3.41× | ||
| 16 | Taylor Swift | Music & Radio | 2.58× | ||
| 17 | Alexander Zverev | Sports | 2.48× | ||
| 18 | Müller (company) | Food & Beverages | 2.15× | ||
| 19 | Breuninger | Fashion & Accessoires | 1.76× | ||
| 20 | Shopping | Shopping | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Travelling | THRILL | 1.82× | |
| Early Adopter Mentality | POWER | 1.39× | |
| Price Sensitivity | PREMIUM | 1.33× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Community Orientation | OPEN | 0.93× | |
| Sustainability | BALANCE | 0.95× | |
| Pet Ownership | JOY | 1.02× |
Tinder's target market in Germany covers an estimated 1,897,657 people, concentrated in Bayern and Nordrhein-Westfalen.
39.2% of the Tinder audience are female, 60.8% are male, with an average age of 28.4 years.
Tinder fans show strongest brand affinity for Home insurance (23.97×), Sex and the City (7.89×), and Manolo Blahnik (17.89×) over the country average.
Tinder fans in Germany are most concentrated in Bayern (reach ~400K), Nordrhein-Westfalen (reach ~300K), and Baden-Württemberg (reach ~300K). These three regions account for the largest share of the active audience.
Beyond Tinder itself, the audience over-indexes on Sex and the City (7.89×), Manolo Blahnik (17.89×), Shangri-La (22.56×), and Millie Bobby Brown (4.57×) compared to the Germany average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Germany who actively search for Tinder. Affinity is an over-index ratio: 2.0× means the audience is twice as likely to engage with that brand or trait as the country average. Reach is the estimated number of audience members in a region. Regional and brand-affinity tables are sorted from strongest signal to weakest.
This audience profile is generated by Rascasse from anonymized search-behavior signals across Germany. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.
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