A data profile of the people who buy, follow and care about Uber in United States — modelled from more than twelve digital signal sources. Uber has an estimated audience of 15,838,144 people in United States.
The average Uber fan in United States is 38.6 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Google Maps, Lyft, Enterprise Rent-A-Car, with strongest over-indexing on Google Maps (4.43× the country average).
Demographically, the Uber audience skews balanced with an average age of 38.6, 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 50 regions tracked by Rascasse.
The typical Uber fan in United States is balanced, around 38.6 years old, with strong Urban Lifestyle tendencies and a notable affinity for Google Maps.
The key figures that characterise the Uber profile in United States.
45.1% are female, 54.9% are male, average age 38.6.
| Metric | Value |
|---|---|
| Female | 45.1% |
| Male | 54.9% |
| Average age | 38.6 |
| Estimated audience size | 15,838,144 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 20% | |
| 20-29 | 20% | |
| 30-39 | 21% | |
| 40-49 | 21% | |
| 50+ | 17% |
of the worldwide Uber audience comes from United States.
| Country | Share |
|---|---|
| United States | 24.3% |
| Brazil | 11.9% |
| United Kingdom | 7.0% |
Where the Uber audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Nevada | ~200K | 1.72× | |
| 02 | Washington, District of Columbia | ~70K | 1.68× | |
| 03 | Florida | ~1.5M | 1.52× | |
| 04 | New York | ~1M | 1.40× | |
| 05 | Hawaii | ~90K | 1.39× | |
| 06 | Georgia | ~600K | 1.37× | |
| 07 | Massachusetts | ~400K | 1.31× | |
| 08 | Illinois | ~600K | 1.28× | |
| 09 | Maryland | ~300K | 1.28× | |
| 10 | Louisiana | ~200K | 1.24× | |
| 11 | Texas | ~1.5M | 1.22× | |
| 12 | Connecticut | ~200K | 1.19× | |
| 13 | South Carolina | ~300K | 1.18× | |
| 14 | New Jersey | ~400K | 1.16× | |
| 15 | Rhode Island | ~50K | 1.15× | |
| 16 | Tennessee | ~300K | 1.12× | |
| 17 | Pennsylvania | ~500K | 1.11× | |
| 18 | Missouri | ~300K | 1.10× | |
| 19 | California | ~2M | 1.09× | |
| 20 | Virginia | ~400K | 1.09× | |
| 21 | Arizona | ~300K | 1.07× | |
| 22 | Colorado | ~200K | 1.03× | |
| 23 | North Carolina | ~500K | 1.02× | |
| 24 | Oklahoma | ~200K | 1.00× | |
| 25 | Indiana | ~300K | 0.96× | |
| 26 | Delaware | ~40K | 0.96× | |
| 27 | Alabama | ~200K | 0.93× | |
| 28 | Ohio | ~400K | 0.92× | |
| 29 | Mississippi | ~100K | 0.91× | |
| 30 | Arkansas | ~100K | 0.90× | |
| 31 | Michigan | ~300K | 0.89× | |
| 32 | Washington | ~300K | 0.89× | |
| 33 | Utah | ~100K | 0.87× | |
| 34 | Kansas | ~100K | 0.87× | |
| 35 | Alaska | ~30K | 0.87× | |
| 36 | Oregon | ~100K | 0.85× | |
| 37 | Kentucky | ~200K | 0.83× | |
| 38 | New Mexico | ~60K | 0.83× | |
| 39 | Wisconsin | ~200K | 0.82× | |
| 40 | Minnesota | ~200K | 0.82× | |
| 41 | New Hampshire | ~50K | 0.80× | |
| 42 | Nebraska | ~60K | 0.78× | |
| 43 | Idaho | ~60K | 0.78× | |
| 44 | Maine | ~40K | 0.70× | |
| 45 | Montana | ~30K | 0.69× | |
| 46 | West Virginia | ~50K | 0.67× | |
| 47 | Iowa | ~80K | 0.66× | |
| 48 | North Dakota | ~20K | 0.64× | |
| 49 | Vermont | ~10K | 0.55× | |
| 50 | South Dakota | ~10K | 0.42× |
The strongest cross-interests of the Uber audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Lyft | Cars & Mobility | 13.86× | ||
| 02 | Carsharing | Cars & Mobility | 8.43× | ||
| 03 | Waze | Internet & Social Media | 6.94× | ||
| 04 | Google Maps | Internet & Social Media | 4.43× | ||
| 05 | Enterprise Rent-A-Car | Cars & Mobility | 4.05× | ||
| 06 | Boost Mobile | Technology & Electronics | 3.67× | ||
| 07 | Verizon Wireless | Technology & Electronics | 3.35× | ||
| 08 | Google Docs | Internet & Social Media | 2.62× | ||
| 09 | Instant messaging | Internet & Social Media | 2.45× | ||
| 10 | T-Mobile | Technology & Electronics | 2.43× | ||
| 11 | Google Drive | Technology & Electronics | 2.22× | ||
| 12 | Facebook Messenger | Internet & Social Media | 2.12× | ||
| 13 | Doordash | Food & Beverages | 2.02× | ||
| 14 | Finance | Business & Career | 1.74× | ||
| 15 | Indeed.com | Business & Career | 1.73× | ||
| 16 | United States Postal Service | Business & Career | 1.70× | ||
| 17 | Bank of America | Business & Career | 1.65× | ||
| 18 | Wells Fargo | Business & Career | 1.64× | ||
| 19 | EBay | Shopping | 1.57× | ||
| 20 | Comedy movies | Movies & TV | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Urban Lifestyle | OPEN | 2.40× | |
| Career Orientation | POWER | 1.71× | |
| Need for Security | CONSERVATISM | 1.66× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 0.81× | |
| Pet Ownership | JOY | 0.83× | |
| Extroversion | THRILL | 0.90× |
Uber's target market in United States covers an estimated 15,838,144 people, concentrated in California and Texas.
45.1% of the Uber audience are female, 54.9% are male, with an average age of 38.6 years.
Uber fans show strongest brand affinity for Google Maps (4.43×), Lyft (13.86×), and Enterprise Rent-A-Car (4.05×) over the country average.
Uber fans in United States are most concentrated in California (reach ~2M), Texas (reach ~1.5M), and Florida (reach ~1.5M). These three regions account for the largest share of the active audience.
Beyond Uber itself, the audience over-indexes on Lyft (13.86×), Enterprise Rent-A-Car (4.05×), Google Docs (2.62×), and T-Mobile (2.43×) compared to the United States average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in United States 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 United States. 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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