Fitness models Audience in United States
Fitness models has an estimated audience of 659,792 people in United States. 40.4% are female, 59.6% are male, average age 34.4. Top regions: California, Texas, Florida. Top brand affinities: Biohacking, Protein Shake, Energy bar, cardio fitness, Back to the Future.
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, Protein Shake, Energy bar, with strongest over-indexing on Biohacking (59.94× 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 LGBTQ+ Identity, Luxury Orientation. Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
Category: Sports · Type: Topic
Demographics of Fitness models fans
| Metric | Value |
|---|---|
| Female | 40.4% |
| Male | 59.6% |
| Average age | 34.4 |
| Estimated audience size | 659,792 |
Audience persona
The typical Fitness models fan in United States is more male, around 34.4 years old, with strong LGBTQ+ Identity tendencies and a notable affinity for Biohacking.
Top regions in United States
| Region | Reach | Affinity |
|---|---|---|
| California | 68,128 | 0.94× |
| Texas | 53,703 | 0.95× |
| Florida | 46,108 | 1.03× |
| Colorado | 42,651 | 4.1× |
| New York | 41,761 | 1.13× |
| Pennsylvania | 20,891 | 0.94× |
| Georgia | 20,598 | 1.01× |
| Illinois | 20,348 | 0.93× |
| North Carolina | 18,217 | 0.92× |
| Ohio | 17,825 | 0.88× |
| New Jersey | 16,704 | 1× |
| Michigan | 15,586 | 0.9× |
| Virginia | 14,563 | 0.91× |
| Washington | 14,287 | 1.08× |
| Arizona | 13,871 | 1.03× |
| Connecticut | 12,102 | 1.83× |
| Minnesota | 12,073 | 1.28× |
| Tennessee | 11,691 | 0.88× |
| Missouri | 11,450 | 1.08× |
| Massachusetts | 11,440 | 0.88× |
| Indiana | 11,195 | 0.93× |
| Maryland | 9,212 | 0.81× |
| Utah | 8,300 | 1.4× |
| South Carolina | 7,504 | 0.76× |
| Wisconsin | 7,175 | 0.72× |
| Nevada | 6,974 | 1.09× |
| Oregon | 6,787 | 0.9× |
| Louisiana | 6,658 | 0.78× |
| Oklahoma | 6,571 | 0.9× |
| Kentucky | 6,147 | 0.74× |
| Alabama | 5,888 | 0.64× |
| Idaho | 5,024 | 1.52× |
| Kansas | 4,511 | 0.87× |
| Iowa | 4,120 | 0.76× |
| Arkansas | 3,992 | 0.73× |
| Mississippi | 3,819 | 0.7× |
| New Mexico | 3,076 | 0.93× |
| Hawaii | 2,945 | 1.04× |
| Nebraska | 2,843 | 0.86× |
| West Virginia | 2,658 | 0.87× |
| Montana | 2,259 | 1.23× |
| New Hampshire | 2,088 | 0.8× |
| Maine | 1,966 | 0.83× |
| North Dakota | 1,809 | 1.33× |
| Washington, District of Columbia | 1,749 | 0.88× |
| Rhode Island | 1,722 | 0.82× |
| Alaska | 1,296 | 0.92× |
| Delaware | 1,013 | 0.56× |
| South Dakota | 902 | 0.59× |
| Wyoming | 750 | 0.77× |
Top brand affinities
Brands and entities this audience over-indexes on, vs. the country average.
| Brand | Affinity | Category |
|---|---|---|
| Biohacking | 59.94× | Technology & Electronics |
| Protein Shake | 49.32× | Food & Beverages |
| Energy bar | 20.95× | Food & Beverages |
| cardio fitness | 51.96× | Sports |
| Back to the Future | 22.4× | Movies & TV |
| Feyenoord | 60.2× | Sports |
| High-intensity interval training | 10.44× | Sports |
| Google Maps | 4.19× | Internet & Social Media |
| Autism Awareness | 8.87× | Health |
| Diabetes mellitus awareness | 5.99× | Health |
| Indeed.com | 3.54× | Business & Career |
| FC Bayern Munich | 5.58× | Sports |
| Natural foods | 6.5× | Food & Beverages |
| Deutsche Eishockey Liga | 29.15× | Sports |
| Singer-songwriter | 2.89× | Music & Radio |
| Microblogging | 6.05× | Technology & Electronics |
| Sports bra | 7.56× | Fashion & Accessoires |
| PSV Eindhoven | 24.29× | Sports |
| Diet food | 5.75× | Food & Beverages |
| ASICS | 5.91× | Fashion & Accessoires |
Psychographic profile
Top six personality traits over-indexed by this audience (1.0 = country average).
| Trait | Cluster | Score |
|---|---|---|
| LGBTQ+ Identity | OPEN | 2.36 |
| Luxury Orientation | PREMIUM | 2.12 |
| Design Affinity | PREMIUM | 2.09 |
| Sports Activity | POWER | 1.83 |
| Family Orientation | CONSERVATISM | 1.44 |
| Mindfulness | BALANCE | 1.42 |
Worldwide distribution
| Country | Share |
|---|---|
| United States | 23.7% |
| China | 20.7% |
| Ukraine | 13.7% |
See Fitness models audiences in other countries
More Sports audiences in United States
- Food and drink (182,612,063)
- Music (181,108,961)
- Shopping and fashion (177,150,005)
- Sports and outdoors (173,827,889)
- Sports (173,190,295)
Frequently asked questions
How many fans does Fitness models have in United States?
Fitness models has an estimated audience of 659,792 people in United States, concentrated in California and Texas.
What is the gender split and age of Fitness models fans?
40.4% of Fitness models fans are female, 59.6% are male, with an average age of 34.4 years.
Which brands do Fitness models fans like most?
Fitness models fans show strongest brand affinity for Biohacking (59.94×), Protein Shake (49.32×), and Energy bar (20.95×) over the country average.
Where do Fitness models fans live in United States?
Fitness models fans in United States are most concentrated in California (reach 68,128), Texas (reach 53,703), and Florida (reach 46,108). These three regions account for the largest share of the active audience.
What other brands do Fitness models fans also like?
Beyond Fitness models itself, the audience over-indexes on Protein Shake (49.32×), Energy bar (20.95×), cardio fitness (51.96×), and Back to the Future (22.4×) compared to the United States average.
How to read this data
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.
About this audience profile
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.