A data profile of the people who buy, follow and care about Fitness models in United States — modelled from more than twelve digital signal sources. Fitness models has an estimated audience of 659,792 people in United States.
The average Fitness models fan in United States is 34.4 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Biohacking, Energy bar, High-intensity interval training, with strongest over-indexing on Biohacking (70.05× the country average).
Demographically, the Fitness models audience skews more male with an average age of 34.4, and over-indexes on personality traits such as Patriotism, Luxury Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Fitness models fan in United States is more male, around 34.4 years old, with strong Patriotism tendencies and a notable affinity for Biohacking.
The key figures that characterise the Fitness models profile in United States.
40.4% are female, 59.6% are male, average age 34.4.
| Metric | Value |
|---|---|
| Female | 40.4% |
| Male | 59.6% |
| Average age | 34.4 |
| Estimated audience size | 659,792 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 24% | |
| 20-29 | 31% | |
| 30-39 | 21% | |
| 40-49 | 16% | |
| 50+ | 8% |
of the worldwide Fitness models audience comes from United States.
| Country | Share |
|---|---|
| United States | 23.7% |
| China | 20.7% |
| Ukraine | 13.7% |
Where the Fitness models audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Colorado | ~30K | 3.25× | |
| 02 | Connecticut | ~10K | 1.48× | |
| 03 | Utah | ~8K | 1.39× | |
| 04 | Idaho | ~4K | 1.31× | |
| 05 | Minnesota | ~10K | 1.25× | |
| 06 | North Dakota | ~2K | 1.17× | |
| 07 | Montana | ~2K | 1.10× | |
| 08 | Arizona | ~10K | 1.08× | |
| 09 | New York | ~40K | 1.07× | |
| 10 | Missouri | ~10K | 1.03× | |
| 11 | Washington | ~10K | 1.02× | |
| 12 | Nevada | ~6K | 1.01× | |
| 13 | Hawaii | ~3K | 1.01× | |
| 14 | Florida | ~40K | 1.00× | |
| 15 | Kansas | ~5K | 1.00× | |
| 16 | Alaska | ~1K | 1.00× | |
| 17 | Pennsylvania | ~20K | 0.99× | |
| 18 | West Virginia | ~3K | 0.99× | |
| 19 | Georgia | ~20K | 0.98× | |
| 20 | New Mexico | ~3K | 0.98× | |
| 21 | New Jersey | ~20K | 0.97× | |
| 22 | South Dakota | ~1K | 0.95× | |
| 23 | California | ~70K | 0.94× | |
| 24 | Maine | ~2K | 0.94× | |
| 25 | Rhode Island | ~2K | 0.94× | |
| 26 | Washington, District of Columbia | ~2K | 0.94× | |
| 27 | Vermont | ~1K | 0.94× | |
| 28 | Oregon | ~7K | 0.93× | |
| 29 | Nebraska | ~3K | 0.93× | |
| 30 | Texas | ~50K | 0.92× | |
| 31 | Illinois | ~20K | 0.92× | |
| 32 | Virginia | ~10K | 0.92× | |
| 33 | Oklahoma | ~7K | 0.92× | |
| 34 | New Hampshire | ~2K | 0.92× | |
| 35 | North Carolina | ~20K | 0.91× | |
| 36 | Massachusetts | ~10K | 0.91× | |
| 37 | Alabama | ~8K | 0.91× | |
| 38 | Delaware | ~2K | 0.91× | |
| 39 | Ohio | ~20K | 0.90× | |
| 40 | Michigan | ~20K | 0.90× | |
| 41 | Tennessee | ~10K | 0.90× | |
| 42 | Louisiana | ~8K | 0.89× | |
| 43 | Mississippi | ~5K | 0.89× | |
| 44 | Indiana | ~10K | 0.88× | |
| 45 | Arkansas | ~5K | 0.88× | |
| 46 | Maryland | ~10K | 0.87× | |
| 47 | Iowa | ~5K | 0.87× | |
| 48 | Kentucky | ~7K | 0.86× | |
| 49 | South Carolina | ~8K | 0.85× | |
| 50 | Wisconsin | ~8K | 0.84× |
The strongest cross-interests of the Fitness models audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Biohacking | Technology & Electronics | 70.05× | ||
| 02 | Ninja Warrior | Sports | 58.64× | ||
| 03 | cardio fitness | Sports | 41.64× | ||
| 04 | Energy bar | Food & Beverages | 27.42× | ||
| 05 | Protein Shake | Food & Beverages | 26.27× | ||
| 06 | Napoleon Dynamite | Movies & TV | 20.00× | ||
| 07 | Robert Lewandowski | Sports | 20.00× | ||
| 08 | High-intensity interval training | Sports | 15.30× | ||
| 09 | Freddie Freeman | Sports | 14.82× | ||
| 10 | Changing Habits | Health | 10.60× | ||
| 11 | Peloton | Sports | 8.24× | ||
| 12 | Back to the Future | Movies & TV | 7.42× | ||
| 13 | Sports bra | Fashion & Accessoires | 7.40× | ||
| 14 | Natural foods | Food & Beverages | 6.76× | ||
| 15 | Family car | Cars & Mobility | 5.69× | ||
| 16 | Air Jordan | Fashion & Accessoires | 5.60× | ||
| 17 | Diet food | Food & Beverages | 5.12× | ||
| 18 | Aerobics | Sports | 4.94× | ||
| 19 | Extreme sport | Sports | 3.31× | ||
| 20 | Physical fitness | Sports | 1.70× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 2.49× | |
| Luxury Orientation | PREMIUM | 1.95× | |
| Design Affinity | PREMIUM | 1.91× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Tradition | CONSERVATISM | 0.74× | |
| Need for Security | CONSERVATISM | 0.83× | |
| Sustainability | BALANCE | 0.85× |
Fitness models has an estimated audience of 659,792 people in United States, concentrated in California and Texas.
40.4% of Fitness models fans are female, 59.6% are male, with an average age of 34.4 years.
Fitness models fans show strongest brand affinity for Biohacking (70.05×), Energy bar (27.42×), and High-intensity interval training (15.3×) over the country average.
Fitness models fans in United States are most concentrated in California (reach ~70K), Texas (reach ~50K), and Florida (reach ~40K). These three regions account for the largest share of the active audience.
Beyond Fitness models itself, the audience over-indexes on Energy bar (27.42×), High-intensity interval training (15.3×), cardio fitness (41.64×), and Napoleon Dynamite (20×) 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 Fitness models. 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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