A data profile of the people who buy, follow and care about Biathlon in United States — modelled from more than twelve digital signal sources. Biathlon has an estimated audience of 327,153 people in United States.
The average Biathlon fan in United States is 37.9 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Giant slalom, Deutscher Skiverband, Laura Dahlmeier, with strongest over-indexing on Giant slalom (536.81× the country average).
Demographically, the Biathlon audience skews balanced with an average age of 37.9, and over-indexes on personality traits such as Patriotism, Sports Activity.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Biathlon fan in United States is balanced, around 37.9 years old, with strong Patriotism tendencies and a notable affinity for Giant slalom.
The key figures that characterise the Biathlon profile in United States.
47.2% are female, 52.8% are male, average age 37.9.
| Metric | Value |
|---|---|
| Female | 47.2% |
| Male | 52.8% |
| Average age | 37.9 |
| Estimated audience size | 327,153 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 21% | |
| 20-29 | 22% | |
| 30-39 | 20% | |
| 40-49 | 20% | |
| 50+ | 17% |
Where the Biathlon audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Vermont | <1K | 1.71× | |
| 02 | Alaska | ~1K | 1.46× | |
| 03 | Minnesota | ~7K | 1.41× | |
| 04 | Montana | ~1K | 1.38× | |
| 05 | Washington, District of Columbia | ~1K | 1.32× | |
| 06 | Utah | ~4K | 1.26× | |
| 07 | Massachusetts | ~8K | 1.24× | |
| 08 | Wisconsin | ~6K | 1.24× | |
| 09 | Colorado | ~6K | 1.22× | |
| 10 | New Hampshire | ~2K | 1.22× | |
| 11 | North Dakota | <1K | 1.20× | |
| 12 | Washington | ~8K | 1.19× | |
| 13 | Hawaii | ~2K | 1.18× | |
| 14 | Maine | ~1K | 1.15× | |
| 15 | Connecticut | ~4K | 1.13× | |
| 16 | Virginia | ~9K | 1.09× | |
| 17 | Iowa | ~3K | 1.09× | |
| 18 | Pennsylvania | ~10K | 1.06× | |
| 19 | Oregon | ~4K | 1.02× | |
| 20 | Rhode Island | ~1K | 1.02× | |
| 21 | Illinois | ~10K | 1.00× | |
| 22 | New York | ~20K | 0.99× | |
| 23 | Maryland | ~5K | 0.98× | |
| 24 | Nebraska | ~2K | 0.98× | |
| 25 | Indiana | ~6K | 0.97× | |
| 26 | Kansas | ~3K | 0.97× | |
| 27 | Idaho | ~2K | 0.97× | |
| 28 | Michigan | ~8K | 0.95× | |
| 29 | South Dakota | <1K | 0.95× | |
| 30 | New Jersey | ~8K | 0.93× | |
| 31 | Ohio | ~9K | 0.92× | |
| 32 | Missouri | ~5K | 0.91× | |
| 33 | North Carolina | ~9K | 0.88× | |
| 34 | Delaware | <1K | 0.86× | |
| 35 | California | ~30K | 0.85× | |
| 36 | South Carolina | ~4K | 0.84× | |
| 37 | Oklahoma | ~3K | 0.84× | |
| 38 | West Virginia | ~1K | 0.82× | |
| 39 | Georgia | ~8K | 0.81× | |
| 40 | Tennessee | ~5K | 0.81× | |
| 41 | Kentucky | ~3K | 0.81× | |
| 42 | Florida | ~20K | 0.78× | |
| 43 | Arizona | ~5K | 0.76× | |
| 44 | New Mexico | ~1K | 0.76× | |
| 45 | Arkansas | ~2K | 0.75× | |
| 46 | Texas | ~20K | 0.74× | |
| 47 | Alabama | ~3K | 0.73× | |
| 48 | Louisiana | ~3K | 0.72× | |
| 49 | Nevada | ~2K | 0.72× | |
| 50 | Mississippi | ~2K | 0.70× |
The strongest cross-interests of the Biathlon audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Laura Dahlmeier | Sports | 785.92× | ||
| 02 | Tommaso Giacomel | Sports | 785.92× | ||
| 03 | Maren Kirkeeide | Sports | 785.92× | ||
| 04 | Einar Hedegart | Sports | 785.92× | ||
| 05 | Océane Michelon | Sports | 785.92× | ||
| 06 | Giant slalom | Sports | 536.81× | ||
| 07 | Deutscher Skiverband | Sports | 212.48× | ||
| 08 | Fischer (company) | Sports | 74.64× | ||
| 09 | FIS Alpine Ski World Cup | Sports | 42.52× | ||
| 10 | Mikaela Shiffrin | Sports | 39.73× | ||
| 11 | Caribou | Music & Radio | 25.30× | ||
| 12 | Cross-country skiing | Sports | 24.19× | ||
| 13 | Alex Honnold | Sports | 20.00× | ||
| 14 | Braids | Music & Radio | 19.99× | ||
| 15 | Ice climbing | Sports | 18.68× | ||
| 16 | Lindsey Vonn | Sports | 16.38× | ||
| 17 | Academy Sports + Outdoors | Shopping | 13.69× | ||
| 18 | Travel Adventures | Travel & Leisure | 12.14× | ||
| 19 | Productivity | Business & Career | 10.21× | ||
| 20 | Sprint (running) | Sports | 10.18× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 2.07× | |
| Sports Activity | POWER | 2.04× | |
| Community Orientation | OPEN | 1.70× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 0.67× | |
| Luxury Orientation | PREMIUM | 0.75× | |
| Indulgence | JOY | 0.77× |
Biathlon has an estimated audience of 327,153 people in United States, concentrated in California and Texas.
47.2% of Biathlon fans are female, 52.8% are male, with an average age of 37.9 years.
Biathlon fans show strongest brand affinity for Giant slalom (536.81×), Deutscher Skiverband (212.48×), and Laura Dahlmeier (785.92×) over the country average.
Biathlon fans in United States are most concentrated in California (reach ~30K), Texas (reach ~20K), and New York (reach ~20K). These three regions account for the largest share of the active audience.
Beyond Biathlon itself, the audience over-indexes on Deutscher Skiverband (212.48×), Laura Dahlmeier (785.92×), Tommaso Giacomel (785.92×), and Maren Kirkeeide (785.92×) 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 Biathlon. 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.