A data profile of the people who buy, follow and care about Startup ecosystem in United States — modelled from more than twelve digital signal sources. Startup ecosystem has an estimated audience of 362,901 people in United States.
The average Startup ecosystem fan in United States is 35.2 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Business software, Peter Thiel, Business intelligence, with strongest over-indexing on Business software (79.4× the country average).
Demographically, the Startup ecosystem audience skews balanced with an average age of 35.2, and over-indexes on personality traits such as Career Orientation, Risk Appetite.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Startup ecosystem fan in United States is balanced, around 35.2 years old, with strong Career Orientation tendencies and a notable affinity for Business software.
The key figures that characterise the Startup ecosystem profile in United States.
45.6% are female, 54.4% are male, average age 35.2.
| Metric | Value |
|---|---|
| Female | 45.6% |
| Male | 54.4% |
| Average age | 35.2 |
| Estimated audience size | 362,901 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 32% | |
| 20-29 | 19% | |
| 30-39 | 18% | |
| 40-49 | 15% | |
| 50+ | 15% |
Where the Startup ecosystem audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Washington, District of Columbia | ~2K | 1.39× | |
| 02 | Rhode Island | ~2K | 1.38× | |
| 03 | Kentucky | ~6K | 1.22× | |
| 04 | New Mexico | ~2K | 1.14× | |
| 05 | Wyoming | <1K | 1.13× | |
| 06 | Arkansas | ~3K | 1.10× | |
| 07 | Kansas | ~3K | 1.08× | |
| 08 | Louisiana | ~5K | 1.06× | |
| 09 | Connecticut | ~4K | 1.06× | |
| 10 | Iowa | ~3K | 1.06× | |
| 11 | Oklahoma | ~4K | 1.03× | |
| 12 | Utah | ~3K | 1.02× | |
| 13 | New Hampshire | ~1K | 1.02× | |
| 14 | Vermont | <1K | 1.02× | |
| 15 | Oregon | ~4K | 1.01× | |
| 16 | Nevada | ~4K | 1.01× | |
| 17 | Mississippi | ~3K | 1.01× | |
| 18 | Nebraska | ~2K | 1.01× | |
| 19 | North Dakota | <1K | 1.01× | |
| 20 | Idaho | ~2K | 1.00× | |
| 21 | West Virginia | ~2K | 1.00× | |
| 22 | Delaware | ~1K | 1.00× | |
| 23 | South Dakota | <1K | 1.00× | |
| 24 | Wisconsin | ~5K | 0.99× | |
| 25 | Alabama | ~5K | 0.99× | |
| 26 | Hawaii | ~2K | 0.99× | |
| 27 | Maine | ~1K | 0.99× | |
| 28 | Missouri | ~6K | 0.97× | |
| 29 | South Carolina | ~5K | 0.97× | |
| 30 | Minnesota | ~5K | 0.96× | |
| 31 | Tennessee | ~7K | 0.95× | |
| 32 | Indiana | ~6K | 0.95× | |
| 33 | Maryland | ~6K | 0.95× | |
| 34 | Colorado | ~5K | 0.95× | |
| 35 | Virginia | ~8K | 0.94× | |
| 36 | Arizona | ~7K | 0.94× | |
| 37 | Massachusetts | ~7K | 0.94× | |
| 38 | Washington | ~7K | 0.93× | |
| 39 | Michigan | ~9K | 0.91× | |
| 40 | New Jersey | ~8K | 0.91× | |
| 41 | Ohio | ~10K | 0.90× | |
| 42 | Georgia | ~10K | 0.90× | |
| 43 | North Carolina | ~10K | 0.90× | |
| 44 | Pennsylvania | ~10K | 0.89× | |
| 45 | Illinois | ~10K | 0.88× | |
| 46 | Florida | ~20K | 0.85× | |
| 47 | New York | ~20K | 0.83× | |
| 48 | Texas | ~30K | 0.80× | |
| 49 | California | ~30K | 0.74× | |
| 50 | Montana | 0.00× |
The strongest cross-interests of the Startup ecosystem audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Business software | Business & Career | 79.40× | ||
| 02 | Rain Man | Movies & TV | 71.16× | ||
| 03 | Logic puzzles | Games | 65.15× | ||
| 04 | Corporate finance | Business & Career | 55.49× | ||
| 05 | Business intelligence | Business & Career | 51.57× | ||
| 06 | Peter Thiel | Business & Career | 34.30× | ||
| 07 | WordPress | Technology & Electronics | 33.11× | ||
| 08 | Bob Evans | Food & Beverages | 30.47× | ||
| 09 | Block chain (database) | Technology & Electronics | 29.29× | ||
| 10 | Software as a service | Technology & Electronics | 24.35× | ||
| 11 | Forex Online Trading | Business & Career | 20.19× | ||
| 12 | Vera Farmiga | Movies & TV | 20.00× | ||
| 13 | Derivative (finance) | Business & Career | 17.78× | ||
| 14 | Master of Business Administration | Business & Career | 15.55× | ||
| 15 | Innovation | Business & Career | 12.10× | ||
| 16 | Elon Musk | Business & Career | 9.97× | ||
| 17 | Philanthropy | Arts & Culture | 8.54× | ||
| 18 | Scooby-Doo | Movies & TV | 7.66× | ||
| 19 | Cloud computing | Technology & Electronics | 6.40× | ||
| 20 | Drop shipping | Shopping | 6.33× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 3.31× | |
| Risk Appetite | THRILL | 2.39× | |
| Need for Security | CONSERVATISM | 2.15× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.65× | |
| Pet Ownership | JOY | 0.76× | |
| Community Orientation | OPEN | 0.91× |
Startup ecosystem has an estimated audience of 362,901 people in United States, concentrated in California and Texas.
45.6% of Startup ecosystem fans are female, 54.4% are male, with an average age of 35.2 years.
Startup ecosystem fans show strongest brand affinity for Business software (79.4×), Peter Thiel (34.3×), and Business intelligence (51.57×) over the country average.
Startup ecosystem fans in United States are most concentrated in California (reach ~30K), Texas (reach ~30K), and Florida (reach ~20K). These three regions account for the largest share of the active audience.
Beyond Startup ecosystem itself, the audience over-indexes on Peter Thiel (34.3×), Business intelligence (51.57×), Rain Man (71.16×), and Logic puzzles (65.15×) 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 Startup ecosystem. 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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