A data profile of the people who buy, follow and care about Slot machine in United States — modelled from more than twelve digital signal sources. Slot machine has an estimated audience of 17,421,107 people in United States.
The average Slot machine fan in United States is 45.0 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Casino, Gambling, Blackjack, with strongest over-indexing on Casino (4.57× the country average).
Demographically, the Slot machine audience skews balanced with an average age of 45.0, and over-indexes on personality traits such as Quality Awareness, Family Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Slot machine fan in United States is balanced, around 45.0 years old, with strong Quality Awareness tendencies and a notable affinity for Casino.
The key figures that characterise the Slot machine profile in United States.
49.7% are female, 50.3% are male, average age 45.0.
| Metric | Value |
|---|---|
| Female | 49.7% |
| Male | 50.3% |
| Average age | 45.0 |
| Estimated audience size | 17,421,107 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 8% | |
| 20-29 | 14% | |
| 30-39 | 20% | |
| 40-49 | 26% | |
| 50+ | 32% |
Where the Slot machine audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Nevada | ~900K | 5.23× | |
| 02 | Hawaii | ~100K | 1.72× | |
| 03 | Mississippi | ~200K | 1.56× | |
| 04 | Arizona | ~500K | 1.44× | |
| 05 | North Dakota | ~50K | 1.32× | |
| 06 | California | ~2.5M | 1.29× | |
| 07 | New Mexico | ~100K | 1.27× | |
| 08 | Oklahoma | ~200K | 1.14× | |
| 09 | Arkansas | ~200K | 1.13× | |
| 10 | Washington | ~400K | 1.04× | |
| 11 | Louisiana | ~200K | 1.04× | |
| 12 | Utah | ~200K | 1.03× | |
| 13 | Kansas | ~100K | 1.03× | |
| 14 | Nebraska | ~90K | 1.03× | |
| 15 | Oregon | ~200K | 1.02× | |
| 16 | Wyoming | ~30K | 1.02× | |
| 17 | Missouri | ~300K | 1.01× | |
| 18 | Alabama | ~200K | 1.01× | |
| 19 | Illinois | ~600K | 0.99× | |
| 20 | Wisconsin | ~300K | 0.99× | |
| 21 | Idaho | ~90K | 0.99× | |
| 22 | Texas | ~1.5M | 0.96× | |
| 23 | Iowa | ~100K | 0.96× | |
| 24 | Michigan | ~400K | 0.91× | |
| 25 | Colorado | ~200K | 0.91× | |
| 26 | Kentucky | ~200K | 0.91× | |
| 27 | Pennsylvania | ~500K | 0.89× | |
| 28 | Indiana | ~300K | 0.89× | |
| 29 | Minnesota | ~200K | 0.89× | |
| 30 | South Dakota | ~40K | 0.87× | |
| 31 | Alaska | ~30K | 0.86× | |
| 32 | Ohio | ~400K | 0.83× | |
| 33 | Montana | ~40K | 0.83× | |
| 34 | West Virginia | ~70K | 0.81× | |
| 35 | New Hampshire | ~60K | 0.81× | |
| 36 | Rhode Island | ~40K | 0.79× | |
| 37 | Florida | ~900K | 0.77× | |
| 38 | Connecticut | ~100K | 0.77× | |
| 39 | Tennessee | ~300K | 0.76× | |
| 40 | New Jersey | ~300K | 0.75× | |
| 41 | Delaware | ~40K | 0.75× | |
| 42 | Georgia | ~400K | 0.73× | |
| 43 | Massachusetts | ~200K | 0.72× | |
| 44 | Maine | ~40K | 0.71× | |
| 45 | New York | ~700K | 0.69× | |
| 46 | North Carolina | ~400K | 0.69× | |
| 47 | Virginia | ~300K | 0.68× | |
| 48 | Maryland | ~200K | 0.66× | |
| 49 | South Carolina | ~200K | 0.63× | |
| 50 | Washington, District of Columbia | ~30K | 0.57× |
The strongest cross-interests of the Slot machine audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Slotomania - Slot Machines | Games | 12.91× | ||
| 02 | Virtual machine | Technology & Electronics | 12.60× | ||
| 03 | Casino Royale | Movies & TV | 11.93× | ||
| 04 | Video poker | Games | 11.79× | ||
| 05 | New Zealand English | Politics & Society | 9.38× | ||
| 06 | Best Casino | Music & Radio | 9.16× | ||
| 07 | Blackjack | Games | 8.07× | ||
| 08 | Mobile gambling | Games | 7.64× | ||
| 09 | Progressive jackpot | Games | 6.33× | ||
| 10 | Roulette | Games | 6.13× | ||
| 11 | Casino games | Games | 5.89× | ||
| 12 | Casino | Games | 4.57× | ||
| 13 | Chumba Casino | Travel & Leisure | 4.57× | ||
| 14 | Solitaire | Games | 3.67× | ||
| 15 | Gambling | Games | 3.34× | ||
| 16 | Card games | Games | 2.25× | ||
| 17 | Local news | News | 2.02× | ||
| 18 | Little Caesars | Food & Beverages | 1.98× | ||
| 19 | Breaking news | Movies & TV | 1.76× | ||
| 20 | Powerball | Games | 1.55× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Quality Awareness | PREMIUM | 0.99× | |
| Family Orientation | CONSERVATISM | 0.96× | |
| Social Media Usage | JOY | 0.93× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 0.47× | |
| Sustainability | BALANCE | 0.49× | |
| Luxury Orientation | PREMIUM | 0.57× |
Slot machine has an estimated audience of 17,421,107 people in United States, concentrated in California and Texas.
49.7% of Slot machine fans are female, 50.3% are male, with an average age of 45.0 years.
Slot machine fans show strongest brand affinity for Casino (4.57×), Gambling (3.34×), and Blackjack (8.07×) over the country average.
Slot machine fans in United States are most concentrated in California (reach ~2.5M), Texas (reach ~1.5M), and Florida (reach ~900K). These three regions account for the largest share of the active audience.
Beyond Slot machine itself, the audience over-indexes on Gambling (3.34×), Blackjack (8.07×), Casino games (5.89×), and Video poker (11.79×) 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 Slot machine. 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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