A data profile of the people who buy, follow and care about Casino games in United States — modelled from more than twelve digital signal sources. Casino games has an estimated audience of 12,765,544 people in United States.
The average Casino games fan in United States is 43.2 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Creative Commons, Google Maps, Slot machine, with strongest over-indexing on Creative Commons (13.42× the country average).
Demographically, the Casino games audience skews balanced with an average age of 43.2, and over-indexes on personality traits such as Early Adopter Mentality, Quality Awareness.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Casino games fan in United States is balanced, around 43.2 years old, with strong Early Adopter Mentality tendencies and a notable affinity for Creative Commons.
The key figures that characterise the Casino games profile in United States.
47.2% are female, 52.8% are male, average age 43.2.
| Metric | Value |
|---|---|
| Female | 47.2% |
| Male | 52.8% |
| Average age | 43.2 |
| Estimated audience size | 12,765,544 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 10% | |
| 20-29 | 18% | |
| 30-39 | 20% | |
| 40-49 | 23% | |
| 50+ | 29% |
Where the Casino games audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Mississippi | ~300K | 2.76× | |
| 02 | Arkansas | ~300K | 2.73× | |
| 03 | Oklahoma | ~300K | 2.25× | |
| 04 | New Mexico | ~100K | 1.96× | |
| 05 | Alabama | ~300K | 1.73× | |
| 06 | North Dakota | ~50K | 1.73× | |
| 07 | Louisiana | ~300K | 1.63× | |
| 08 | Kansas | ~100K | 1.47× | |
| 09 | South Dakota | ~40K | 1.46× | |
| 10 | Minnesota | ~200K | 1.33× | |
| 11 | Missouri | ~300K | 1.27× | |
| 12 | Iowa | ~100K | 1.26× | |
| 13 | Arizona | ~300K | 1.23× | |
| 14 | Wyoming | ~20K | 1.06× | |
| 15 | Indiana | ~200K | 1.05× | |
| 16 | Nevada | ~100K | 1.05× | |
| 17 | Nebraska | ~60K | 1.00× | |
| 18 | West Virginia | ~60K | 0.94× | |
| 19 | Oregon | ~100K | 0.93× | |
| 20 | Pennsylvania | ~400K | 0.90× | |
| 21 | Tennessee | ~200K | 0.90× | |
| 22 | Wisconsin | ~200K | 0.89× | |
| 23 | Kentucky | ~100K | 0.87× | |
| 24 | California | ~1M | 0.83× | |
| 25 | Virginia | ~300K | 0.83× | |
| 26 | Michigan | ~300K | 0.82× | |
| 27 | Texas | ~900K | 0.80× | |
| 28 | Ohio | ~300K | 0.79× | |
| 29 | Colorado | ~200K | 0.78× | |
| 30 | Rhode Island | ~30K | 0.76× | |
| 31 | Washington, District of Columbia | ~30K | 0.75× | |
| 32 | Massachusetts | ~200K | 0.74× | |
| 33 | North Carolina | ~300K | 0.73× | |
| 34 | South Carolina | ~100K | 0.72× | |
| 35 | New Jersey | ~200K | 0.71× | |
| 36 | New Hampshire | ~40K | 0.71× | |
| 37 | Alaska | ~20K | 0.71× | |
| 38 | Delaware | ~20K | 0.70× | |
| 39 | Georgia | ~300K | 0.69× | |
| 40 | Utah | ~80K | 0.69× | |
| 41 | Illinois | ~300K | 0.68× | |
| 42 | Washington | ~200K | 0.68× | |
| 43 | Maine | ~30K | 0.68× | |
| 44 | New York | ~500K | 0.67× | |
| 45 | Hawaii | ~40K | 0.67× | |
| 46 | Montana | ~20K | 0.67× | |
| 47 | Idaho | ~40K | 0.65× | |
| 48 | Florida | ~500K | 0.63× | |
| 49 | Connecticut | ~80K | 0.63× | |
| 50 | Maryland | ~100K | 0.54× |
The strongest cross-interests of the Casino games audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | LastPass | Technology & Electronics | 19.97× | ||
| 02 | Code.org | Business & Career | 18.67× | ||
| 03 | New Zealand English | Politics & Society | 13.69× | ||
| 04 | Video poker | Games | 13.54× | ||
| 05 | Creative Commons | Technology & Electronics | 13.42× | ||
| 06 | Portable media players | Technology & Electronics | 9.00× | ||
| 07 | Angel investor | Business & Career | 8.70× | ||
| 08 | Slot machine | Games | 8.57× | ||
| 09 | GPS devices | Technology & Electronics | 8.47× | ||
| 10 | Slickdeals | Shopping | 8.23× | ||
| 11 | GitHub | Internet & Social Media | 7.54× | ||
| 12 | Telecommunications equipment | Technology & Electronics | 7.14× | ||
| 13 | C++ | Technology & Electronics | 6.75× | ||
| 14 | Chumba Casino | Travel & Leisure | 5.84× | ||
| 15 | Audio equipment | Technology & Electronics | 5.43× | ||
| 16 | Google Maps | Internet & Social Media | 4.95× | ||
| 17 | Casino | Games | 4.58× | ||
| 18 | Strategy games | Games | 4.48× | ||
| 19 | Google Flights | Travel & Leisure | 3.36× | ||
| 20 | Gambling | Games | 3.32× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 1.73× | |
| Quality Awareness | PREMIUM | 1.57× | |
| Convenience Orientation | PREMIUM | 1.29× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Mindfulness | BALANCE | 0.69× | |
| Tradition | CONSERVATISM | 0.70× | |
| Patriotism | CONSERVATISM | 0.71× |
Casino games has an estimated audience of 12,765,544 people in United States, concentrated in California and Texas.
47.2% of Casino games fans are female, 52.8% are male, with an average age of 43.2 years.
Casino games fans show strongest brand affinity for Creative Commons (13.42×), Google Maps (4.95×), and Slot machine (8.57×) over the country average.
Casino games fans in United States are most concentrated in California (reach ~1M), Texas (reach ~900K), and Florida (reach ~500K). These three regions account for the largest share of the active audience.
Beyond Casino games itself, the audience over-indexes on Google Maps (4.95×), Slot machine (8.57×), LastPass (19.97×), and GitHub (7.54×) 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 Casino games. 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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