A data profile of the people who buy, follow and care about Sneaker collecting in United States — modelled from more than twelve digital signal sources. Sneaker collecting has an estimated audience of 24,286,600 people in United States.
The average Sneaker collecting fan in United States is 31.8 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Sportswear (fashion), Puma, NBA playoffs, with strongest over-indexing on Sportswear (fashion) (11.69× the country average).
Demographically, the Sneaker collecting audience skews more male with an average age of 31.8, and over-indexes on personality traits such as Early Adopter Mentality, Luxury Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Sneaker collecting fan in United States is more male, around 31.8 years old, with strong Early Adopter Mentality tendencies and a notable affinity for Sportswear (fashion).
The key figures that characterise the Sneaker collecting profile in United States.
39.5% are female, 60.5% are male, average age 31.8.
| Metric | Value |
|---|---|
| Female | 39.5% |
| Male | 60.5% |
| Average age | 31.8 |
| Estimated audience size | 24,286,600 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 36% | |
| 20-29 | 26% | |
| 30-39 | 19% | |
| 40-49 | 12% | |
| 50+ | 7% |
of the worldwide Sneaker collecting audience comes from United States.
| Country | Share |
|---|---|
| United States | 24.3% |
| China | 10.0% |
| Japan | 6.4% |
Where the Sneaker collecting audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Vermont | ~50K | 1.13× | |
| 02 | Rhode Island | ~80K | 1.09× | |
| 03 | Delaware | ~70K | 1.08× | |
| 04 | Montana | ~70K | 1.06× | |
| 05 | Hawaii | ~100K | 1.05× | |
| 06 | Maine | ~90K | 1.05× | |
| 07 | New York | ~1.5M | 1.04× | |
| 08 | New Hampshire | ~100K | 1.04× | |
| 09 | South Dakota | ~60K | 1.04× | |
| 10 | Connecticut | ~300K | 1.03× | |
| 11 | West Virginia | ~100K | 1.03× | |
| 12 | North Dakota | ~50K | 1.03× | |
| 13 | Washington, District of Columbia | ~70K | 1.02× | |
| 14 | Mississippi | ~200K | 1.01× | |
| 15 | Nebraska | ~100K | 1.01× | |
| 16 | Alaska | ~50K | 1.01× | |
| 17 | New Jersey | ~600K | 1.00× | |
| 18 | Idaho | ~100K | 1.00× | |
| 19 | New Mexico | ~100K | 1.00× | |
| 20 | Massachusetts | ~500K | 0.99× | |
| 21 | Arkansas | ~200K | 0.99× | |
| 22 | Kansas | ~200K | 0.99× | |
| 23 | Pennsylvania | ~800K | 0.97× | |
| 24 | South Carolina | ~400K | 0.97× | |
| 25 | Oklahoma | ~300K | 0.97× | |
| 26 | Nevada | ~200K | 0.97× | |
| 27 | Utah | ~200K | 0.97× | |
| 28 | Iowa | ~200K | 0.97× | |
| 29 | Louisiana | ~300K | 0.96× | |
| 30 | Kentucky | ~300K | 0.96× | |
| 31 | Oregon | ~300K | 0.96× | |
| 32 | Arizona | ~500K | 0.95× | |
| 33 | Alabama | ~300K | 0.95× | |
| 34 | Virginia | ~600K | 0.94× | |
| 35 | Maryland | ~400K | 0.94× | |
| 36 | Wisconsin | ~300K | 0.94× | |
| 37 | Tennessee | ~500K | 0.93× | |
| 38 | Indiana | ~400K | 0.93× | |
| 39 | Missouri | ~400K | 0.93× | |
| 40 | Minnesota | ~300K | 0.93× | |
| 41 | Georgia | ~700K | 0.92× | |
| 42 | Colorado | ~400K | 0.92× | |
| 43 | Illinois | ~700K | 0.91× | |
| 44 | Washington | ~400K | 0.91× | |
| 45 | North Carolina | ~700K | 0.90× | |
| 46 | Michigan | ~600K | 0.90× | |
| 47 | Ohio | ~700K | 0.89× | |
| 48 | Florida | ~1.5M | 0.84× | |
| 49 | Texas | ~1.5M | 0.83× | |
| 50 | California | ~2M | 0.82× |
The strongest cross-interests of the Sneaker collecting audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Paul George | Sports | 15.21× | ||
| 02 | Stussy | Fashion & Accessoires | 14.30× | ||
| 03 | Larry Bird | Sports | 14.12× | ||
| 04 | Yeezy | Fashion & Accessoires | 13.40× | ||
| 05 | Puma | Fashion & Accessoires | 13.39× | ||
| 06 | Sportswear (fashion) | Fashion & Accessoires | 11.69× | ||
| 07 | Luka Dončić | Sports | 11.48× | ||
| 08 | Kawhi Leonard | Sports | 11.43× | ||
| 09 | Anthony Davis (basketball) | Sports | 10.96× | ||
| 10 | Air Jordan | Fashion & Accessoires | 9.52× | ||
| 11 | Indiana Pacers | Sports | 9.43× | ||
| 12 | StockX | Shopping | 9.04× | ||
| 13 | Minnesota Timberwolves | Sports | 8.15× | ||
| 14 | Sacramento Kings | Sports | 8.13× | ||
| 15 | Giannis Antetokounmpo | Sports | 7.33× | ||
| 16 | Carhartt | Fashion & Accessoires | 7.09× | ||
| 17 | NBA playoffs | Sports | 6.06× | ||
| 18 | New Balance | Fashion & Accessoires | 5.84× | ||
| 19 | NBA Finals | Sports | 4.72× | ||
| 20 | Nike | Fashion & Accessoires | 4.33× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 2.69× | |
| Luxury Orientation | PREMIUM | 2.02× | |
| Sports Activity | POWER | 1.30× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Tradition | CONSERVATISM | 0.38× | |
| Patriotism | CONSERVATISM | 0.42× | |
| Spirituality | BALANCE | 0.44× |
Sneaker collecting has an estimated audience of 24,286,600 people in United States, concentrated in California and Texas.
39.5% of Sneaker collecting fans are female, 60.5% are male, with an average age of 31.8 years.
Sneaker collecting fans show strongest brand affinity for Sportswear (fashion) (11.69×), Puma (13.39×), and NBA playoffs (6.06×) over the country average.
Sneaker collecting fans in United States are most concentrated in California (reach ~2M), Texas (reach ~1.5M), and New York (reach ~1.5M). These three regions account for the largest share of the active audience.
Beyond Sneaker collecting itself, the audience over-indexes on Puma (13.39×), NBA playoffs (6.06×), Stussy (14.3×), and Luka Dončić (11.48×) 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 Sneaker collecting. 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.