A data profile of the people who buy, follow and care about Shorts in United States — modelled from more than twelve digital signal sources. Shorts has an estimated audience of 26,961,896 people in United States.
The average Shorts fan in United States is 40.5 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Trousers, Men's clothing, Lunch, with strongest over-indexing on Trousers (2.67× the country average).
Demographically, the Shorts audience skews more female with an average age of 40.5, and over-indexes on personality traits such as Price Sensitivity, Indulgence.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Shorts fan in United States is more female, around 40.5 years old, with strong Price Sensitivity tendencies and a notable affinity for Trousers.
The key figures that characterise the Shorts profile in United States.
62.8% are female, 37.2% are male, average age 40.5.
| Metric | Value |
|---|---|
| Female | 62.8% |
| Male | 37.2% |
| Average age | 40.5 |
| Estimated audience size | 26,961,896 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 16% | |
| 20-29 | 20% | |
| 30-39 | 21% | |
| 40-49 | 22% | |
| 50+ | 22% |
Where the Shorts audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Texas | ~3M | 1.35× | |
| 02 | Louisiana | ~400K | 1.26× | |
| 03 | South Carolina | ~500K | 1.25× | |
| 04 | Arkansas | ~300K | 1.22× | |
| 05 | Georgia | ~1M | 1.20× | |
| 06 | Mississippi | ~300K | 1.20× | |
| 07 | Iowa | ~300K | 1.19× | |
| 08 | Alabama | ~400K | 1.18× | |
| 09 | Utah | ~300K | 1.17× | |
| 10 | North Carolina | ~900K | 1.14× | |
| 11 | New Jersey | ~800K | 1.14× | |
| 12 | Oklahoma | ~300K | 1.13× | |
| 13 | Kentucky | ~400K | 1.10× | |
| 14 | Maryland | ~500K | 1.09× | |
| 15 | Missouri | ~500K | 1.08× | |
| 16 | California | ~3M | 1.07× | |
| 17 | New York | ~1.5M | 1.07× | |
| 18 | South Dakota | ~70K | 1.07× | |
| 19 | Indiana | ~500K | 1.05× | |
| 20 | Delaware | ~80K | 1.05× | |
| 21 | Pennsylvania | ~900K | 1.04× | |
| 22 | Michigan | ~700K | 1.04× | |
| 23 | New Mexico | ~100K | 1.04× | |
| 24 | Nebraska | ~100K | 1.03× | |
| 25 | Florida | ~2M | 1.02× | |
| 26 | Minnesota | ~400K | 1.00× | |
| 27 | Hawaii | ~100K | 1.00× | |
| 28 | Virginia | ~700K | 0.99× | |
| 29 | Tennessee | ~500K | 0.99× | |
| 30 | Illinois | ~900K | 0.98× | |
| 31 | Wisconsin | ~400K | 0.98× | |
| 32 | Kansas | ~200K | 0.97× | |
| 33 | Ohio | ~800K | 0.96× | |
| 34 | Connecticut | ~300K | 0.96× | |
| 35 | Alaska | ~50K | 0.94× | |
| 36 | Arizona | ~500K | 0.93× | |
| 37 | Idaho | ~100K | 0.93× | |
| 38 | West Virginia | ~100K | 0.91× | |
| 39 | Washington | ~500K | 0.89× | |
| 40 | Oregon | ~300K | 0.89× | |
| 41 | Nevada | ~200K | 0.88× | |
| 42 | Montana | ~60K | 0.85× | |
| 43 | Massachusetts | ~400K | 0.84× | |
| 44 | New Hampshire | ~90K | 0.82× | |
| 45 | North Dakota | ~50K | 0.82× | |
| 46 | Colorado | ~300K | 0.81× | |
| 47 | Rhode Island | ~60K | 0.75× | |
| 48 | Vermont | ~40K | 0.75× | |
| 49 | Maine | ~70K | 0.72× | |
| 50 | Washington, District of Columbia | ~50K | 0.61× |
The strongest cross-interests of the Shorts audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Pandora | Fashion & Accessoires | 4.84× | ||
| 02 | Formal wear | Fashion & Accessoires | 3.72× | ||
| 03 | Trousers | Fashion & Accessoires | 2.67× | ||
| 04 | Lunch | Food & Beverages | 2.62× | ||
| 05 | Deal of the day | Shopping | 2.62× | ||
| 06 | Cyber Monday | Shopping | 2.43× | ||
| 07 | Men's clothing | Fashion & Accessoires | 2.36× | ||
| 08 | Modern architecture | Arts & Culture | 2.25× | ||
| 09 | Black Friday (shopping) | Shopping | 2.02× | ||
| 10 | Nordstrom rack | Fashion & Accessoires | 1.91× | ||
| 11 | Skirt | Fashion & Accessoires | 1.91× | ||
| 12 | Lingerie | Fashion & Accessoires | 1.90× | ||
| 13 | Sunglasses | Fashion & Accessoires | 1.89× | ||
| 14 | Made in USA | Business & Career | 1.85× | ||
| 15 | Property finder | Home & Garden | 1.81× | ||
| 16 | Swimsuit | Fashion & Accessoires | 1.80× | ||
| 17 | Real property | Home & Garden | 1.61× | ||
| 18 | Swimming pool | Sports | 1.56× | ||
| 19 | Discount stores | Shopping | 1.54× | ||
| 20 | J. C. Penney | Shopping | 1.53× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 1.50× | |
| Indulgence | JOY | 1.44× | |
| Convenience Orientation | PREMIUM | 1.34× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Tradition | CONSERVATISM | 0.82× | |
| Patriotism | CONSERVATISM | 0.85× | |
| Pet Ownership | JOY | 0.86× |
Shorts has an estimated audience of 26,961,896 people in United States, concentrated in California and Texas.
62.8% of Shorts fans are female, 37.2% are male, with an average age of 40.5 years.
Shorts fans show strongest brand affinity for Trousers (2.67×), Men's clothing (2.36×), and Lunch (2.62×) over the country average.
Shorts fans in United States are most concentrated in California (reach ~3M), Texas (reach ~3M), and Florida (reach ~2M). These three regions account for the largest share of the active audience.
Beyond Shorts itself, the audience over-indexes on Men's clothing (2.36×), Lunch (2.62×), Pandora (4.84×), and Deal of the day (2.62×) 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 Shorts. 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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