A data profile of the people who buy, follow and care about Mahjong in United States — modelled from more than twelve digital signal sources. Mahjong has an estimated audience of 2,264,049 people in United States.
The average Mahjong fan in United States is 39.9 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Google Photos, Solitaire, Rummy, with strongest over-indexing on Google Photos (16.2× the country average).
Demographically, the Mahjong audience skews balanced with an average age of 39.9, and over-indexes on personality traits such as Need for Security, Urban Lifestyle.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Mahjong fan in United States is balanced, around 39.9 years old, with strong Need for Security tendencies and a notable affinity for Google Photos.
The key figures that characterise the Mahjong profile in United States.
54.6% are female, 45.4% are male, average age 39.9.
| Metric | Value |
|---|---|
| Female | 54.6% |
| Male | 45.4% |
| Average age | 39.9 |
| Estimated audience size | 2,264,049 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 26% | |
| 20-29 | 15% | |
| 30-39 | 14% | |
| 40-49 | 17% | |
| 50+ | 29% |
Where the Mahjong audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Maine | ~10K | 1.44× | |
| 02 | Vermont | ~5K | 1.32× | |
| 03 | New Hampshire | ~10K | 1.30× | |
| 04 | South Dakota | ~6K | 1.26× | |
| 05 | Louisiana | ~40K | 1.24× | |
| 06 | Arkansas | ~20K | 1.19× | |
| 07 | Massachusetts | ~50K | 1.15× | |
| 08 | Alabama | ~40K | 1.15× | |
| 09 | Wisconsin | ~40K | 1.14× | |
| 10 | Iowa | ~20K | 1.13× | |
| 11 | Minnesota | ~40K | 1.12× | |
| 12 | Oregon | ~30K | 1.12× | |
| 13 | Kentucky | ~30K | 1.10× | |
| 14 | Oklahoma | ~30K | 1.10× | |
| 15 | Montana | ~7K | 1.10× | |
| 16 | North Dakota | ~5K | 1.08× | |
| 17 | Nebraska | ~10K | 1.07× | |
| 18 | Mississippi | ~20K | 1.06× | |
| 19 | South Carolina | ~30K | 1.05× | |
| 20 | North Carolina | ~70K | 1.04× | |
| 21 | Missouri | ~40K | 1.04× | |
| 22 | Tennessee | ~50K | 1.03× | |
| 23 | Ohio | ~70K | 1.02× | |
| 24 | Connecticut | ~20K | 1.02× | |
| 25 | Kansas | ~20K | 1.00× | |
| 26 | New Mexico | ~10K | 1.00× | |
| 27 | Rhode Island | ~7K | 1.00× | |
| 28 | Alaska | ~5K | 1.00× | |
| 29 | Pennsylvania | ~70K | 0.98× | |
| 30 | West Virginia | ~10K | 0.98× | |
| 31 | Georgia | ~70K | 0.97× | |
| 32 | Michigan | ~60K | 0.97× | |
| 33 | Indiana | ~40K | 0.97× | |
| 34 | Virginia | ~50K | 0.96× | |
| 35 | Washington | ~40K | 0.93× | |
| 36 | Idaho | ~10K | 0.93× | |
| 37 | Hawaii | ~9K | 0.91× | |
| 38 | Delaware | ~5K | 0.87× | |
| 39 | Illinois | ~60K | 0.86× | |
| 40 | Florida | ~100K | 0.85× | |
| 41 | Colorado | ~30K | 0.85× | |
| 42 | Utah | ~20K | 0.85× | |
| 43 | Maryland | ~30K | 0.84× | |
| 44 | Texas | ~200K | 0.82× | |
| 45 | Arizona | ~40K | 0.79× | |
| 46 | New Jersey | ~40K | 0.77× | |
| 47 | New York | ~90K | 0.73× | |
| 48 | California | ~200K | 0.71× | |
| 49 | Washington, District of Columbia | ~4K | 0.68× | |
| 50 | Nevada | ~10K | 0.66× |
The strongest cross-interests of the Mahjong audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | IPhoto | Technology & Electronics | 46.38× | ||
| 02 | Bubble Shooter Game | Games | 45.67× | ||
| 03 | Philippine Normal University | Business & Career | 44.59× | ||
| 04 | AddictingGames | Games | 38.04× | ||
| 05 | Rummy | Games | 27.17× | ||
| 06 | Miniclip | Games | 24.61× | ||
| 07 | White Collar | Movies & TV | 20.24× | ||
| 08 | FreeCell | Games | 16.26× | ||
| 09 | Bubble Shooter | Games | 16.22× | ||
| 10 | Google Photos | Technology & Electronics | 16.20× | ||
| 11 | Hyun Bin | Movies & TV | 16.08× | ||
| 12 | Mahjong solitaire | Games | 15.83× | ||
| 13 | Klondike (solitaire) | Games | 13.36× | ||
| 14 | Solitaire | Games | 11.74× | ||
| 15 | Gin rummy | Games | 10.88× | ||
| 16 | 8 Ball Pool | Sports | 10.54× | ||
| 17 | Spider (solitaire) | Games | 9.75× | ||
| 18 | Tile-matching video game | Games | 8.48× | ||
| 19 | Sudoku | Games | 6.80× | ||
| 20 | Candy Crush Saga | Games | 4.79× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 1.14× | |
| Urban Lifestyle | OPEN | 1.08× | |
| Tradition | CONSERVATISM | 1.02× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 0.87× | |
| Early Adopter Mentality | POWER | 0.88× | |
| Patriotism | CONSERVATISM | 0.89× |
Mahjong has an estimated audience of 2,264,049 people in United States, concentrated in California and Texas.
54.6% of Mahjong fans are female, 45.4% are male, with an average age of 39.9 years.
Mahjong fans show strongest brand affinity for Google Photos (16.2×), Solitaire (11.74×), and Rummy (27.17×) over the country average.
Mahjong fans in United States are most concentrated in California (reach ~200K), Texas (reach ~200K), and Florida (reach ~100K). These three regions account for the largest share of the active audience.
Beyond Mahjong itself, the audience over-indexes on Solitaire (11.74×), Rummy (27.17×), Miniclip (24.61×), and Bubble Shooter Game (45.67×) 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 Mahjong. 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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