A data profile of the people who buy, follow and care about Online casino in United States — modelled from more than twelve digital signal sources. Online casino has an estimated audience of 2,595,695 people in United States.
The average Online casino fan in United States is 41.1 years old, more male, and lives primarily in Illinois.
The audience is concentrated in Illinois, California, Texas.
Top brand affinities include Mobile gambling, Stake, Michigan Lottery, with strongest over-indexing on Mobile gambling (37.03× the country average).
Demographically, the Online casino audience skews more male with an average age of 41.1, and over-indexes on personality traits such as Quality Awareness, Early Adopter Mentality.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Online casino fan in United States is more male, around 41.1 years old, with strong Quality Awareness tendencies and a notable affinity for Mobile gambling.
The key figures that characterise the Online casino profile in United States.
40.6% are female, 59.4% are male, average age 41.1.
| Metric | Value |
|---|---|
| Female | 40.6% |
| Male | 59.4% |
| Average age | 41.1 |
| Estimated audience size | 2,595,695 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 17% | |
| 20-29 | 17% | |
| 30-39 | 19% | |
| 40-49 | 22% | |
| 50+ | 25% |
of the worldwide Online casino audience comes from United States.
| Country | Share |
|---|---|
| United States | 13.0% |
| United Kingdom | 11.1% |
| Romania | 4.9% |
Where the Online casino audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Oklahoma | ~80K | 2.93× | |
| 02 | Arkansas | ~60K | 2.77× | |
| 03 | Mississippi | ~50K | 2.49× | |
| 04 | Illinois | ~200K | 2.39× | |
| 05 | North Dakota | ~10K | 2.27× | |
| 06 | Missouri | ~80K | 1.91× | |
| 07 | Kansas | ~40K | 1.88× | |
| 08 | Iowa | ~40K | 1.86× | |
| 09 | Minnesota | ~70K | 1.78× | |
| 10 | Louisiana | ~60K | 1.68× | |
| 11 | New Mexico | ~20K | 1.63× | |
| 12 | Alabama | ~60K | 1.62× | |
| 13 | Indiana | ~70K | 1.57× | |
| 14 | Wyoming | ~6K | 1.47× | |
| 15 | South Dakota | ~7K | 1.17× | |
| 16 | Arizona | ~60K | 1.13× | |
| 17 | Kentucky | ~40K | 1.13× | |
| 18 | West Virginia | ~10K | 1.13× | |
| 19 | Nebraska | ~10K | 1.06× | |
| 20 | Oregon | ~30K | 1.04× | |
| 21 | Wisconsin | ~40K | 0.94× | |
| 22 | Ohio | ~70K | 0.84× | |
| 23 | Tennessee | ~40K | 0.83× | |
| 24 | Utah | ~20K | 0.78× | |
| 25 | New Hampshire | ~8K | 0.76× | |
| 26 | Colorado | ~30K | 0.73× | |
| 27 | Texas | ~200K | 0.72× | |
| 28 | California | ~200K | 0.69× | |
| 29 | Alaska | ~4K | 0.68× | |
| 30 | South Carolina | ~30K | 0.65× | |
| 31 | Pennsylvania | ~60K | 0.63× | |
| 32 | Virginia | ~40K | 0.62× | |
| 33 | Maine | ~6K | 0.62× | |
| 34 | North Carolina | ~50K | 0.61× | |
| 35 | Georgia | ~50K | 0.58× | |
| 36 | Florida | ~100K | 0.57× | |
| 37 | Washington, District of Columbia | ~4K | 0.55× | |
| 38 | Nevada | ~10K | 0.53× | |
| 39 | Michigan | ~30K | 0.51× | |
| 40 | Hawaii | ~6K | 0.51× | |
| 41 | Rhode Island | ~4K | 0.51× | |
| 42 | Idaho | ~6K | 0.47× | |
| 43 | Montana | ~3K | 0.45× | |
| 44 | Washington | ~20K | 0.44× | |
| 45 | Delaware | ~3K | 0.44× | |
| 46 | New York | ~60K | 0.40× | |
| 47 | Massachusetts | ~20K | 0.36× | |
| 48 | New Jersey | ~20K | 0.35× | |
| 49 | Connecticut | ~9K | 0.34× | |
| 50 | Maryland | ~10K | 0.28× |
The strongest cross-interests of the Online casino audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Betfair | Games | 37.14× | ||
| 02 | Mobile gambling | Games | 37.03× | ||
| 03 | Clubbing (subculture) | Travel & Leisure | 33.20× | ||
| 04 | SugarHouse Casino | Games | 32.14× | ||
| 05 | University of Delhi | Business & Career | 26.63× | ||
| 06 | Stake | Games | 24.76× | ||
| 07 | StarGames | Games | 22.39× | ||
| 08 | The Borgata | Travel & Leisure | 22.24× | ||
| 09 | Roulette | Games | 15.86× | ||
| 10 | Online gambling | Games | 14.01× | ||
| 11 | Video poker | Games | 13.02× | ||
| 12 | Michigan Lottery | Games | 13.00× | ||
| 13 | Sports betting | Games | 8.21× | ||
| 14 | Casino games | Games | 7.39× | ||
| 15 | Toronto-Dominion Bank | Business & Career | 6.02× | ||
| 16 | Slot machine | Games | 5.06× | ||
| 17 | Casino | Games | 4.47× | ||
| 18 | Meijer | Shopping | 3.91× | ||
| 19 | Gambling | Games | 3.47× | ||
| 20 | Texas Roadhouse | Food & Beverages | 2.60× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Quality Awareness | PREMIUM | 1.73× | |
| Early Adopter Mentality | POWER | 1.30× | |
| Healthy Lifestyle | BALANCE | 1.23× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.67× | |
| Tradition | CONSERVATISM | 0.72× | |
| Community Orientation | OPEN | 0.76× |
Online casino has an estimated audience of 2,595,695 people in United States, concentrated in Illinois and California.
40.6% of Online casino fans are female, 59.4% are male, with an average age of 41.1 years.
Online casino fans show strongest brand affinity for Mobile gambling (37.03×), Stake (24.76×), and Michigan Lottery (13×) over the country average.
Online casino fans in United States are most concentrated in Illinois (reach ~200K), California (reach ~200K), and Texas (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Online casino itself, the audience over-indexes on Stake (24.76×), Michigan Lottery (13×), Roulette (15.86×), and Online gambling (14.01×) 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 Online casino. 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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