A data profile of the people who buy, follow and care about Uber in Germany — modelled from more than twelve digital signal sources. Uber has an estimated audience of 2,797,456 people in Germany.
The average Uber fan in Germany is 39.5 years old, more male, and lives primarily in Nordrhein-Westfalen.
The audience is concentrated in Nordrhein-Westfalen, Bayern, Hessen.
Top brand affinities include Financial technology, Ubereats, Bicycle helmet, with strongest over-indexing on Financial technology (13.46× the country average).
Demographically, the Uber audience skews more male with an average age of 39.5, and over-indexes on personality traits such as Urban Lifestyle, Career Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical Uber fan in Germany is more male, around 39.5 years old, with strong Urban Lifestyle tendencies and a notable affinity for Financial technology.
The key figures that characterise the Uber profile in Germany.
36.8% are female, 63.2% are male, average age 39.5.
| Metric | Value |
|---|---|
| Female | 36.8% |
| Male | 63.2% |
| Average age | 39.5 |
| Estimated audience size | 2,797,456 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 17% | |
| 20-29 | 19% | |
| 30-39 | 23% | |
| 40-49 | 24% | |
| 50+ | 17% |
of the worldwide Uber audience comes from Germany.
| Country | Share |
|---|---|
| United States | 24.3% |
| Brazil | 11.9% |
| United Kingdom | 7.0% |
Where the Uber audience in Germany is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Berlin | ~200K | 1.99× | |
| 02 | Nordrhein-Westfalen | ~1M | 1.80× | |
| 03 | Hessen | ~300K | 1.68× | |
| 04 | Bremen | ~20K | 1.11× | |
| 05 | Hamburg | ~60K | 1.10× | |
| 06 | Bayern | ~400K | 1.05× | |
| 07 | Brandenburg | ~80K | 1.02× | |
| 08 | Niedersachsen | ~200K | 0.98× | |
| 09 | Baden-Württemberg | ~300K | 0.92× | |
| 10 | Rheinland-Pfalz | ~100K | 0.91× | |
| 11 | Schleswig-Holstein | ~80K | 0.86× | |
| 12 | Saarland | ~20K | 0.79× | |
| 13 | Sachsen | ~90K | 0.76× | |
| 14 | Thüringen | ~50K | 0.70× | |
| 15 | Mecklenburg-Vorpommern | ~30K | 0.65× | |
| 16 | Sachsen-Anhalt | ~40K | 0.63× |
The strongest cross-interests of the Uber audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Ford Ka | Cars & Mobility | 18.61× | ||
| 02 | Soho House (club) | Business & Career | 16.83× | ||
| 03 | Real-time ridesharing | Cars & Mobility | 16.17× | ||
| 04 | Shazam (service) | Music & Radio | 15.37× | ||
| 05 | Longboarding | Sports | 13.77× | ||
| 06 | Ubereats | Food & Beverages | 13.67× | ||
| 07 | Financial technology | Business & Career | 13.46× | ||
| 08 | O'Neill (brand) | Fashion & Accessoires | 12.39× | ||
| 09 | Bicycle helmet | Cars & Mobility | 12.31× | ||
| 10 | Carsharing | Cars & Mobility | 12.26× | ||
| 11 | Commuting | Cars & Mobility | 10.78× | ||
| 12 | Billabong | Fashion & Accessoires | 9.84× | ||
| 13 | Vespa | Cars & Mobility | 6.87× | ||
| 14 | Wakeboarding | Sports | 4.87× | ||
| 15 | Windsurfing | Sports | 4.06× | ||
| 16 | Electric bicycle | Cars & Mobility | 3.08× | ||
| 17 | Tesla Motors | Cars & Mobility | 3.04× | ||
| 18 | Sports | Sports | 1.83× | ||
| 19 | Germany | Travel & Leisure | 1.67× | ||
| 20 | Tagesschau | Movies & TV | 1.59× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Urban Lifestyle | OPEN | 4.72× | |
| Career Orientation | POWER | 1.77× | |
| Indulgence | JOY | 1.65× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 0.88× | |
| Creativity | OPEN | 0.90× | |
| Extroversion | THRILL | 0.91× |
Uber's target market in Germany covers an estimated 2,797,456 people, concentrated in Nordrhein-Westfalen and Bayern.
36.8% of the Uber audience are female, 63.2% are male, with an average age of 39.5 years.
Uber fans show strongest brand affinity for Financial technology (13.46×), Ubereats (13.67×), and Bicycle helmet (12.31×) over the country average.
Uber fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~1M), Bayern (reach ~400K), and Hessen (reach ~300K). These three regions account for the largest share of the active audience.
Beyond Uber itself, the audience over-indexes on Ubereats (13.67×), Bicycle helmet (12.31×), Shazam (service) (15.37×), and Carsharing (12.26×) 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 Uber. 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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