A data profile of the people who buy, follow and care about Ski jumping in United States — modelled from more than twelve digital signal sources. Ski jumping has an estimated audience of 708,108 people in United States.
The average Ski jumping fan in United States is 38.4 years old, more male, and lives primarily in California.
The audience is concentrated in California, New York, Texas.
Top brand affinities include FIS Alpine Ski World Cup, Mikaela Shiffrin, Lindsey Vonn, with strongest over-indexing on FIS Alpine Ski World Cup (159.16× the country average).
Demographically, the Ski jumping audience skews more male with an average age of 38.4, and over-indexes on personality traits such as Career Orientation, Sports Activity.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Ski jumping fan in United States is more male, around 38.4 years old, with strong Career Orientation tendencies and a notable affinity for FIS Alpine Ski World Cup.
The key figures that characterise the Ski jumping profile in United States.
41.9% are female, 58.1% are male, average age 38.4.
| Metric | Value |
|---|---|
| Female | 41.9% |
| Male | 58.1% |
| Average age | 38.4 |
| Estimated audience size | 708,108 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 27% | |
| 20-29 | 16% | |
| 30-39 | 16% | |
| 40-49 | 19% | |
| 50+ | 22% |
of the worldwide Ski jumping audience comes from United States.
| Country | Share |
|---|---|
| United States | 16.0% |
| Poland | 13.5% |
| Germany | 9.3% |
Where the Ski jumping audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Vermont | ~3K | 2.51× | |
| 02 | New Hampshire | ~5K | 1.83× | |
| 03 | Wisconsin | ~20K | 1.60× | |
| 04 | Utah | ~10K | 1.59× | |
| 05 | Montana | ~3K | 1.54× | |
| 06 | Minnesota | ~20K | 1.49× | |
| 07 | Colorado | ~20K | 1.46× | |
| 08 | Maine | ~3K | 1.26× | |
| 09 | North Dakota | ~2K | 1.22× | |
| 10 | Massachusetts | ~20K | 1.18× | |
| 11 | Connecticut | ~8K | 1.18× | |
| 12 | Idaho | ~4K | 1.17× | |
| 13 | Illinois | ~30K | 1.15× | |
| 14 | Michigan | ~20K | 1.13× | |
| 15 | Iowa | ~7K | 1.12× | |
| 16 | Pennsylvania | ~30K | 1.09× | |
| 17 | Alaska | ~2K | 1.09× | |
| 18 | South Dakota | ~2K | 1.08× | |
| 19 | Oregon | ~8K | 1.03× | |
| 20 | Washington | ~10K | 1.02× | |
| 21 | Kansas | ~6K | 1.00× | |
| 22 | Nebraska | ~3K | 0.98× | |
| 23 | Virginia | ~20K | 0.97× | |
| 24 | Indiana | ~10K | 0.96× | |
| 25 | New York | ~40K | 0.95× | |
| 26 | Ohio | ~20K | 0.95× | |
| 27 | New Jersey | ~20K | 0.95× | |
| 28 | Rhode Island | ~2K | 0.94× | |
| 29 | Missouri | ~10K | 0.92× | |
| 30 | Washington, District of Columbia | ~2K | 0.88× | |
| 31 | Delaware | ~2K | 0.84× | |
| 32 | North Carolina | ~20K | 0.83× | |
| 33 | Maryland | ~10K | 0.81× | |
| 34 | West Virginia | ~3K | 0.81× | |
| 35 | New Mexico | ~3K | 0.80× | |
| 36 | Hawaii | ~2K | 0.78× | |
| 37 | Kentucky | ~7K | 0.77× | |
| 38 | Oklahoma | ~6K | 0.77× | |
| 39 | Arkansas | ~4K | 0.76× | |
| 40 | South Carolina | ~8K | 0.73× | |
| 41 | Nevada | ~5K | 0.73× | |
| 42 | Arizona | ~10K | 0.70× | |
| 43 | California | ~50K | 0.68× | |
| 44 | Tennessee | ~10K | 0.67× | |
| 45 | Mississippi | ~4K | 0.66× | |
| 46 | Alabama | ~6K | 0.64× | |
| 47 | Florida | ~30K | 0.61× | |
| 48 | Georgia | ~10K | 0.61× | |
| 49 | Louisiana | ~6K | 0.61× | |
| 50 | Texas | ~40K | 0.59× |
The strongest cross-interests of the Ski jumping audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | FIS Alpine Ski World Cup | Sports | 159.16× | ||
| 02 | Mikaela Shiffrin | Sports | 151.22× | ||
| 03 | Nordic skiing | Sports | 92.51× | ||
| 04 | Alpine skiing combined | Sports | 82.64× | ||
| 05 | Giant slalom | Sports | 77.68× | ||
| 06 | Snowcat skiing | Sports | 73.39× | ||
| 07 | Onet.pl | News | 69.77× | ||
| 08 | Lindsey Vonn | Sports | 54.57× | ||
| 09 | Ski boot | Sports | 36.15× | ||
| 10 | UEFA Nations League | Sports | 35.22× | ||
| 11 | Cross-country skiing | Sports | 26.98× | ||
| 12 | Electric toothbrush | Health | 20.00× | ||
| 13 | Freestyle skiing | Sports | 17.34× | ||
| 14 | Princess Polly | Fashion & Accessoires | 13.40× | ||
| 15 | Travel Adventures | Travel & Leisure | 11.13× | ||
| 16 | Sprint (running) | Sports | 10.10× | ||
| 17 | Winter sport | Sports | 9.13× | ||
| 18 | WNBA | Sports | 8.99× | ||
| 19 | Lease | Business & Career | 7.83× | ||
| 20 | Wawa Inc. | Shopping | 7.38× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 2.21× | |
| Sports Activity | POWER | 2.03× | |
| Patriotism | CONSERVATISM | 1.85× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.64× | |
| Mindfulness | BALANCE | 0.70× | |
| Design Affinity | PREMIUM | 0.70× |
Ski jumping has an estimated audience of 708,108 people in United States, concentrated in California and New York.
41.9% of Ski jumping fans are female, 58.1% are male, with an average age of 38.4 years.
Ski jumping fans show strongest brand affinity for FIS Alpine Ski World Cup (159.16×), Mikaela Shiffrin (151.22×), and Lindsey Vonn (54.57×) over the country average.
Ski jumping fans in United States are most concentrated in California (reach ~50K), New York (reach ~40K), and Texas (reach ~40K). These three regions account for the largest share of the active audience.
Beyond Ski jumping itself, the audience over-indexes on Mikaela Shiffrin (151.22×), Lindsey Vonn (54.57×), Nordic skiing (92.51×), and Onet.pl (69.77×) 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 Ski jumping. 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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