A data profile of the people who buy, follow and care about Real-time ridesharing in United States — modelled from more than twelve digital signal sources. Real-time ridesharing has an estimated audience of 1,118,911 people in United States.
The average Real-time ridesharing fan in United States is 38.4 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Benchmark (venture capital firm), Uber, CouchSurfing, with strongest over-indexing on Benchmark (venture capital firm) (56.16× the country average).
Demographically, the Real-time ridesharing audience skews balanced with an average age of 38.4, and over-indexes on personality traits such as Career Orientation, Urban Lifestyle.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 31 regions tracked by Rascasse.
The typical Real-time ridesharing fan in United States is balanced, around 38.4 years old, with strong Career Orientation tendencies and a notable affinity for Benchmark (venture capital firm).
The key figures that characterise the Real-time ridesharing profile in United States.
52.4% are female, 47.6% are male, average age 38.4.
| Metric | Value |
|---|---|
| Female | 52.4% |
| Male | 47.6% |
| Average age | 38.4 |
| Estimated audience size | 1,118,911 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 19% | |
| 20-29 | 20% | |
| 30-39 | 24% | |
| 40-49 | 21% | |
| 50+ | 15% |
of the worldwide Real-time ridesharing audience comes from United States.
| Country | Share |
|---|---|
| United States | 21.9% |
| Brazil | 7.6% |
| Poland | 5.1% |
Where the Real-time ridesharing audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | West Virginia | ~6K | 1.07× | |
| 02 | Washington, District of Columbia | ~4K | 1.06× | |
| 03 | New York | ~60K | 1.04× | |
| 04 | Iowa | ~9K | 1.03× | |
| 05 | Missouri | ~20K | 1.01× | |
| 06 | Colorado | ~20K | 1.01× | |
| 07 | Pennsylvania | ~40K | 1.00× | |
| 08 | Michigan | ~30K | 1.00× | |
| 09 | Virginia | ~30K | 1.00× | |
| 10 | Massachusetts | ~20K | 1.00× | |
| 11 | California | ~100K | 0.99× | |
| 12 | Texas | ~100K | 0.99× | |
| 13 | Florida | ~80K | 0.99× | |
| 14 | Wyoming | 0.00× | ||
| 15 | Mississippi | 0.00× | ||
| 16 | Nebraska | 0.00× | ||
| 17 | North Carolina | 0.00× | ||
| 18 | South Carolina | 0.00× | ||
| 19 | Georgia | 0.00× | ||
| 20 | Washington | 0.00× | ||
| 21 | Illinois | 0.00× | ||
| 22 | Arizona | 0.00× | ||
| 23 | Oregon | 0.00× | ||
| 24 | Maryland | 0.00× | ||
| 25 | Indiana | 0.00× | ||
| 26 | New Jersey | 0.00× | ||
| 27 | Connecticut | 0.00× | ||
| 28 | Vermont | 0.00× | ||
| 29 | Alabama | 0.00× | ||
| 30 | Louisiana | 0.00× | ||
| 31 | Ohio | 0.00× |
The strongest cross-interests of the Real-time ridesharing audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Benchmark (venture capital firm) | Business & Career | 56.16× | ||
| 02 | CouchSurfing | Travel & Leisure | 30.28× | ||
| 03 | Vehicle for hire | Cars & Mobility | 22.14× | ||
| 04 | Carpool | Cars & Mobility | 11.44× | ||
| 05 | Lyft | Cars & Mobility | 10.09× | ||
| 06 | Uber | Cars & Mobility | 6.52× | ||
| 07 | Payment system | Shopping | 5.25× | ||
| 08 | Google News | News | 4.44× | ||
| 09 | Enterprise Rent-A-Car | Cars & Mobility | 3.31× | ||
| 10 | LabCorp | Health | 3.16× | ||
| 11 | Wawa Inc. | Shopping | 2.90× | ||
| 12 | Nancy Mace | Politics & Society | 2.72× | ||
| 13 | Doordash | Food & Beverages | 2.68× | ||
| 14 | Google Drive | Technology & Electronics | 2.24× | ||
| 15 | Instant messaging | Internet & Social Media | 2.21× | ||
| 16 | Google Docs | Internet & Social Media | 2.20× | ||
| 17 | Personal finance | Business & Career | 1.69× | ||
| 18 | Video games | Games | 1.68× | ||
| 19 | Business | Business & Career | 1.66× | ||
| 20 | United States | Travel & Leisure | 1.64× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 2.08× | |
| Urban Lifestyle | OPEN | 1.91× | |
| Need for Security | CONSERVATISM | 1.81× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 0.86× | |
| Design Affinity | PREMIUM | 0.90× | |
| Sports Activity | POWER | 0.91× |
Real-time ridesharing has an estimated audience of 1,118,911 people in United States, concentrated in California and Texas.
52.4% of Real-time ridesharing fans are female, 47.6% are male, with an average age of 38.4 years.
Real-time ridesharing fans show strongest brand affinity for Benchmark (venture capital firm) (56.16×), Uber (6.52×), and CouchSurfing (30.28×) over the country average.
Real-time ridesharing fans in United States are most concentrated in California (reach ~100K), Texas (reach ~100K), and Florida (reach ~80K). These three regions account for the largest share of the active audience.
Beyond Real-time ridesharing itself, the audience over-indexes on Uber (6.52×), CouchSurfing (30.28×), Google News (4.44×), and Vehicle for hire (22.14×) 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 Real-time ridesharing. 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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