A data profile of the people who buy, follow and care about Online poker in United States — modelled from more than twelve digital signal sources. Online poker has an estimated audience of 10,912,431 people in United States.
The average Online poker fan in United States is 42.8 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Casino games, Online games, Massively multiplayer online games, with strongest over-indexing on Casino games (6.35× the country average).
Demographically, the Online poker audience skews balanced with an average age of 42.8, and over-indexes on personality traits such as Creativity, Extroversion.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Online poker fan in United States is balanced, around 42.8 years old, with strong Creativity tendencies and a notable affinity for Casino games.
The key figures that characterise the Online poker profile in United States.
45.8% are female, 54.2% are male, average age 42.8.
| Metric | Value |
|---|---|
| Female | 45.8% |
| Male | 54.2% |
| Average age | 42.8 |
| Estimated audience size | 10,912,431 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 12% | |
| 20-29 | 18% | |
| 30-39 | 20% | |
| 40-49 | 22% | |
| 50+ | 28% |
Where the Online poker audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Connecticut | ~200K | 1.42× | |
| 02 | Massachusetts | ~300K | 1.30× | |
| 03 | Vermont | ~20K | 1.30× | |
| 04 | North Dakota | ~30K | 1.29× | |
| 05 | Kansas | ~100K | 1.25× | |
| 06 | New Hampshire | ~50K | 1.23× | |
| 07 | Rhode Island | ~40K | 1.23× | |
| 08 | Indiana | ~200K | 1.22× | |
| 09 | Nevada | ~100K | 1.15× | |
| 10 | Maine | ~40K | 1.14× | |
| 11 | Arkansas | ~100K | 1.13× | |
| 12 | Washington, District of Columbia | ~40K | 1.12× | |
| 13 | South Dakota | ~30K | 1.11× | |
| 14 | Iowa | ~100K | 1.10× | |
| 15 | Kentucky | ~100K | 1.07× | |
| 16 | Virginia | ~300K | 1.06× | |
| 17 | Wisconsin | ~200K | 1.06× | |
| 18 | Illinois | ~400K | 1.04× | |
| 19 | New Jersey | ~300K | 1.04× | |
| 20 | Colorado | ~200K | 1.04× | |
| 21 | Minnesota | ~200K | 1.03× | |
| 22 | Ohio | ~300K | 1.02× | |
| 23 | Nebraska | ~60K | 1.02× | |
| 24 | Missouri | ~200K | 0.99× | |
| 25 | Oklahoma | ~100K | 0.99× | |
| 26 | California | ~1M | 0.98× | |
| 27 | New York | ~600K | 0.98× | |
| 28 | Arizona | ~200K | 0.98× | |
| 29 | Montana | ~30K | 0.98× | |
| 30 | Alaska | ~20K | 0.97× | |
| 31 | Maryland | ~200K | 0.96× | |
| 32 | Florida | ~700K | 0.95× | |
| 33 | Oregon | ~100K | 0.95× | |
| 34 | Pennsylvania | ~300K | 0.93× | |
| 35 | North Carolina | ~300K | 0.92× | |
| 36 | Washington | ~200K | 0.89× | |
| 37 | South Carolina | ~100K | 0.88× | |
| 38 | West Virginia | ~40K | 0.88× | |
| 39 | Alabama | ~100K | 0.86× | |
| 40 | Louisiana | ~100K | 0.86× | |
| 41 | Utah | ~80K | 0.85× | |
| 42 | Hawaii | ~40K | 0.85× | |
| 43 | Texas | ~800K | 0.84× | |
| 44 | Michigan | ~200K | 0.84× | |
| 45 | Georgia | ~300K | 0.83× | |
| 46 | Mississippi | ~70K | 0.81× | |
| 47 | Idaho | ~40K | 0.81× | |
| 48 | New Mexico | ~40K | 0.80× | |
| 49 | Delaware | ~20K | 0.80× | |
| 50 | Tennessee | ~200K | 0.78× |
The strongest cross-interests of the Online poker audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Casino games | Games | 6.35× | ||
| 02 | Massively multiplayer online games | Games | 5.05× | ||
| 03 | Word games | Games | 4.99× | ||
| 04 | Simulation games | Games | 4.76× | ||
| 05 | Massively multiplayer online role-playing games | Games | 4.35× | ||
| 06 | Michigan Lottery | Games | 4.20× | ||
| 07 | Strategy games | Games | 4.08× | ||
| 08 | Bollywood movies | Movies & TV | 3.85× | ||
| 09 | Card games | Games | 3.44× | ||
| 10 | Puzzle video games | Games | 3.40× | ||
| 11 | Board games | Games | 3.29× | ||
| 12 | Online games | Games | 3.08× | ||
| 13 | CrazyGames | Games | 3.08× | ||
| 14 | Anime movies | Movies & TV | 2.57× | ||
| 15 | Dick Van Dyke | Movies & TV | 2.57× | ||
| 16 | First-person shooter games | Games | 2.11× | ||
| 17 | Thriller movies | Movies & TV | 2.05× | ||
| 18 | Documentary movies | Movies & TV | 1.87× | ||
| 19 | Rhythm and blues music | Music & Radio | 1.83× | ||
| 20 | Coupons | Shopping | 1.83× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 1.37× | |
| Extroversion | THRILL | 1.37× | |
| Price Sensitivity | PREMIUM | 1.33× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Luxury Orientation | PREMIUM | 0.87× | |
| Design Affinity | PREMIUM | 0.87× | |
| Early Adopter Mentality | POWER | 0.94× |
Online poker has an estimated audience of 10,912,431 people in United States, concentrated in California and Texas.
45.8% of Online poker fans are female, 54.2% are male, with an average age of 42.8 years.
Online poker fans show strongest brand affinity for Casino games (6.35×), Online games (3.08×), and Massively multiplayer online games (5.05×) over the country average.
Online poker fans in United States are most concentrated in California (reach ~1M), Texas (reach ~800K), and Florida (reach ~700K). These three regions account for the largest share of the active audience.
Beyond Online poker itself, the audience over-indexes on Online games (3.08×), Massively multiplayer online games (5.05×), Card games (3.44×), and Massively multiplayer online role-playing games (4.35×) 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 poker. 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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.