A data profile of the people who buy, follow and care about Street fashion in United States — modelled from more than twelve digital signal sources. Street fashion has an estimated audience of 12,246,859 people in United States.
The average Street fashion fan in United States is 35.0 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include TikTok, Do it yourself (DIY), Streetwear, with strongest over-indexing on TikTok (1.93× the country average).
Demographically, the Street fashion audience skews more female with an average age of 35.0, and over-indexes on personality traits such as Design Affinity, Luxury Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Street fashion fan in United States is more female, around 35.0 years old, with strong Design Affinity tendencies and a notable affinity for TikTok.
The key figures that characterise the Street fashion profile in United States.
58.7% are female, 41.3% are male, average age 35.0.
| Metric | Value |
|---|---|
| Female | 58.7% |
| Male | 41.3% |
| Average age | 35.0 |
| Estimated audience size | 12,246,859 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 28% | |
| 20-29 | 24% | |
| 30-39 | 19% | |
| 40-49 | 16% | |
| 50+ | 12% |
of the worldwide Street fashion audience comes from United States.
| Country | Share |
|---|---|
| United States | 15.0% |
| Japan | 8.5% |
| China | 5.8% |
Where the Street fashion audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | California | ~2M | 1.37× | |
| 02 | New York | ~900K | 1.30× | |
| 03 | Hawaii | ~70K | 1.28× | |
| 04 | Washington | ~300K | 1.19× | |
| 05 | Kansas | ~100K | 1.12× | |
| 06 | Oregon | ~200K | 1.10× | |
| 07 | Vermont | ~20K | 1.10× | |
| 08 | Alaska | ~30K | 1.09× | |
| 09 | Texas | ~1M | 1.07× | |
| 10 | North Dakota | ~30K | 1.07× | |
| 11 | Virginia | ~300K | 1.06× | |
| 12 | Georgia | ~400K | 1.05× | |
| 13 | South Dakota | ~30K | 1.05× | |
| 14 | Utah | ~100K | 1.03× | |
| 15 | Nevada | ~100K | 1.02× | |
| 16 | Washington, District of Columbia | ~40K | 1.02× | |
| 17 | Delaware | ~30K | 1.02× | |
| 18 | New Jersey | ~300K | 1.01× | |
| 19 | Montana | ~30K | 1.00× | |
| 20 | Arizona | ~200K | 0.99× | |
| 21 | West Virginia | ~60K | 0.99× | |
| 22 | Rhode Island | ~40K | 0.99× | |
| 23 | Maryland | ~200K | 0.98× | |
| 24 | Minnesota | ~200K | 0.98× | |
| 25 | North Carolina | ~400K | 0.97× | |
| 26 | Louisiana | ~200K | 0.97× | |
| 27 | Kentucky | ~100K | 0.97× | |
| 28 | Oklahoma | ~100K | 0.95× | |
| 29 | Connecticut | ~100K | 0.95× | |
| 30 | New Mexico | ~60K | 0.95× | |
| 31 | New Hampshire | ~50K | 0.95× | |
| 32 | Maine | ~40K | 0.95× | |
| 33 | Colorado | ~200K | 0.94× | |
| 34 | Nebraska | ~60K | 0.94× | |
| 35 | Massachusetts | ~200K | 0.93× | |
| 36 | Mississippi | ~90K | 0.93× | |
| 37 | Arkansas | ~90K | 0.93× | |
| 38 | Idaho | ~60K | 0.93× | |
| 39 | Missouri | ~200K | 0.92× | |
| 40 | Illinois | ~400K | 0.91× | |
| 41 | Indiana | ~200K | 0.91× | |
| 42 | Iowa | ~90K | 0.91× | |
| 43 | Alabama | ~200K | 0.90× | |
| 44 | Florida | ~700K | 0.89× | |
| 45 | Wisconsin | ~200K | 0.89× | |
| 46 | South Carolina | ~200K | 0.89× | |
| 47 | Pennsylvania | ~400K | 0.87× | |
| 48 | Tennessee | ~200K | 0.86× | |
| 49 | Michigan | ~300K | 0.84× | |
| 50 | Ohio | ~300K | 0.83× |
The strongest cross-interests of the Street fashion audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Streetwear | Fashion & Accessoires | 2.72× | ||
| 02 | Natural skin care | Beauty & Wellness | 2.62× | ||
| 03 | Deal of the day | Shopping | 2.52× | ||
| 04 | Sneaker collecting | Fashion & Accessoires | 2.37× | ||
| 05 | Anime and manga fandom | Literature | 2.36× | ||
| 06 | Digital photography | Business & Career | 2.19× | ||
| 07 | Nike | Fashion & Accessoires | 2.14× | ||
| 08 | Adidas | Fashion & Accessoires | 2.14× | ||
| 09 | Louis Vuitton | Fashion & Accessoires | 2.06× | ||
| 10 | ULTA Beauty | Beauty & Wellness | 2.03× | ||
| 11 | Nordstrom rack | Fashion & Accessoires | 2.01× | ||
| 12 | Do it yourself (DIY) | Home & Garden | 1.99× | ||
| 13 | Self-love | Health | 1.98× | ||
| 14 | Vintage clothing | Fashion & Accessoires | 1.98× | ||
| 15 | TikTok | Internet & Social Media | 1.93× | ||
| 16 | Livemusic | Music & Radio | 1.92× | ||
| 17 | Planet Fitness | Sports | 1.76× | ||
| 18 | Luxury goods | Fashion & Accessoires | 1.72× | ||
| 19 | Trousers | Fashion & Accessoires | 1.65× | ||
| 20 | Sephora | Shopping | 1.61× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 1.60× | |
| Luxury Orientation | PREMIUM | 1.55× | |
| Early Adopter Mentality | POWER | 1.54× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.77× | |
| Need for Security | CONSERVATISM | 0.77× | |
| Quality Awareness | PREMIUM | 0.88× |
Street fashion has an estimated audience of 12,246,859 people in United States, concentrated in California and Texas.
58.7% of Street fashion fans are female, 41.3% are male, with an average age of 35.0 years.
Street fashion fans show strongest brand affinity for TikTok (1.93×), Do it yourself (DIY) (1.99×), and Streetwear (2.72×) over the country average.
Street fashion fans in United States are most concentrated in California (reach ~2M), Texas (reach ~1M), and New York (reach ~900K). These three regions account for the largest share of the active audience.
Beyond Street fashion itself, the audience over-indexes on Do it yourself (DIY) (1.99×), Streetwear (2.72×), Luxury goods (1.72×), and Planet Fitness (1.76×) 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 Street fashion. 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.