A data profile of the people who buy, follow and care about Ice hockey in United States — modelled from more than twelve digital signal sources. Ice hockey has an estimated audience of 29,091,548 people in United States.
The average Ice hockey fan in United States is 35.9 years old, more male, and lives primarily in California.
The audience is concentrated in California, New York, Texas.
Top brand affinities include NHL, Nancy Mace, Casey, with strongest over-indexing on NHL (2.45× the country average).
Demographically, the Ice hockey audience skews more male with an average age of 35.9, and over-indexes on personality traits such as Patriotism, Pet Ownership.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Ice hockey fan in United States is more male, around 35.9 years old, with strong Patriotism tendencies and a notable affinity for NHL.
The key figures that characterise the Ice hockey profile in United States.
40.2% are female, 59.8% are male, average age 35.9.
| Metric | Value |
|---|---|
| Female | 40.2% |
| Male | 59.8% |
| Average age | 35.9 |
| Estimated audience size | 29,091,548 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 30% | |
| 20-29 | 20% | |
| 30-39 | 17% | |
| 40-49 | 18% | |
| 50+ | 15% |
Where the Ice hockey audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Pennsylvania | ~1.5M | 1.57× | |
| 02 | North Dakota | ~90K | 1.52× | |
| 03 | Massachusetts | ~900K | 1.50× | |
| 04 | New Jersey | ~1M | 1.49× | |
| 05 | Washington, District of Columbia | ~100K | 1.48× | |
| 06 | New Hampshire | ~200K | 1.37× | |
| 07 | Minnesota | ~600K | 1.35× | |
| 08 | Maine | ~100K | 1.35× | |
| 09 | Virginia | ~900K | 1.33× | |
| 10 | New York | ~2M | 1.30× | |
| 11 | Connecticut | ~400K | 1.22× | |
| 12 | Delaware | ~100K | 1.21× | |
| 13 | Maryland | ~600K | 1.20× | |
| 14 | Michigan | ~900K | 1.19× | |
| 15 | Vermont | ~60K | 1.14× | |
| 16 | California | ~3.5M | 1.12× | |
| 17 | Washington | ~600K | 1.06× | |
| 18 | Nevada | ~300K | 1.06× | |
| 19 | Colorado | ~500K | 1.05× | |
| 20 | South Dakota | ~70K | 1.04× | |
| 21 | Alaska | ~60K | 1.03× | |
| 22 | Rhode Island | ~90K | 1.02× | |
| 23 | Illinois | ~1M | 1.01× | |
| 24 | Missouri | ~500K | 1.00× | |
| 25 | Florida | ~2M | 0.99× | |
| 26 | North Carolina | ~900K | 0.99× | |
| 27 | Utah | ~300K | 0.99× | |
| 28 | Kentucky | ~300K | 0.92× | |
| 29 | Iowa | ~200K | 0.92× | |
| 30 | Indiana | ~500K | 0.91× | |
| 31 | Kansas | ~200K | 0.91× | |
| 32 | Wisconsin | ~400K | 0.89× | |
| 33 | Nebraska | ~100K | 0.89× | |
| 34 | Montana | ~70K | 0.88× | |
| 35 | South Carolina | ~400K | 0.85× | |
| 36 | Idaho | ~100K | 0.85× | |
| 37 | Hawaii | ~100K | 0.84× | |
| 38 | Ohio | ~700K | 0.82× | |
| 39 | Arizona | ~500K | 0.82× | |
| 40 | Texas | ~2M | 0.80× | |
| 41 | Oregon | ~300K | 0.80× | |
| 42 | Georgia | ~700K | 0.79× | |
| 43 | Tennessee | ~400K | 0.76× | |
| 44 | New Mexico | ~100K | 0.75× | |
| 45 | West Virginia | ~100K | 0.75× | |
| 46 | Oklahoma | ~200K | 0.70× | |
| 47 | Mississippi | ~200K | 0.69× | |
| 48 | Alabama | ~300K | 0.68× | |
| 49 | Louisiana | ~200K | 0.66× | |
| 50 | Arkansas | ~200K | 0.65× |
The strongest cross-interests of the Ice hockey audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Toronto Maple Leafs | Sports | 6.26× | ||
| 02 | Los Angeles Angels of Anaheim | Sports | 5.04× | ||
| 03 | Environmental technology | Home & Garden | 3.76× | ||
| 04 | Minnesota Wild | Sports | 2.74× | ||
| 05 | NHL | Sports | 2.45× | ||
| 06 | Caitlin Clark | Sports | 2.32× | ||
| 07 | Aaron Rodgers | Sports | 2.13× | ||
| 08 | Casey | Music & Radio | 2.11× | ||
| 09 | Cleveland Browns | Sports | 2.10× | ||
| 10 | Tampa Bay Buccaneers | Sports | 2.10× | ||
| 11 | Nancy Mace | Politics & Society | 2.09× | ||
| 12 | Minnesota Vikings | Sports | 2.08× | ||
| 13 | Buffalo Bills | Sports | 1.90× | ||
| 14 | Savannah Guthrie | Movies & TV | 1.86× | ||
| 15 | Detroit Lions | Sports | 1.82× | ||
| 16 | Pittsburgh Steelers | Sports | 1.81× | ||
| 17 | Green Bay Packers | Sports | 1.77× | ||
| 18 | Scooby-Doo | Movies & TV | 1.56× | ||
| 19 | Chicago Bears | Sports | 1.56× | ||
| 20 | CBS Sports | Movies & TV | 1.52× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 1.29× | |
| Pet Ownership | JOY | 1.05× | |
| Community Orientation | OPEN | 1.02× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 0.85× | |
| Risk Appetite | THRILL | 0.85× | |
| Quality Awareness | PREMIUM | 0.85× |
Ice hockey has an estimated audience of 29,091,548 people in United States, concentrated in California and New York.
40.2% of Ice hockey fans are female, 59.8% are male, with an average age of 35.9 years.
Ice hockey fans show strongest brand affinity for NHL (2.45×), Nancy Mace (2.09×), and Casey (2.11×) over the country average.
Ice hockey fans in United States are most concentrated in California (reach ~3.5M), New York (reach ~2M), and Texas (reach ~2M). These three regions account for the largest share of the active audience.
Beyond Ice hockey itself, the audience over-indexes on Nancy Mace (2.09×), Casey (2.11×), Buffalo Bills (1.9×), and Savannah Guthrie (1.86×) 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 Ice hockey. 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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