A data profile of the people who buy, follow and care about Jason Wu in United States — modelled from more than twelve digital signal sources. Jason Wu has an estimated audience of 578,434 people in United States.
The average Jason Wu fan in United States is 43.0 years old, more female, and lives primarily in California.
The audience is concentrated in California, New York, Texas.
Top brand affinities include Jessica Chastain, Kate Beckinsale, Lily Allen, with strongest over-indexing on Jessica Chastain (52.98× the country average).
Demographically, the Jason Wu audience skews more female with an average age of 43.0, and over-indexes on personality traits such as Indulgence, Pet Ownership.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Jason Wu fan in United States is more female, around 43.0 years old, with strong Indulgence tendencies and a notable affinity for Jessica Chastain.
The key figures that characterise the Jason Wu profile in United States.
74.3% are female, 25.7% are male, average age 43.0.
| Metric | Value |
|---|---|
| Female | 74.3% |
| Male | 25.7% |
| Average age | 43.0 |
| Estimated audience size | 578,434 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 8% | |
| 20-29 | 20% | |
| 30-39 | 21% | |
| 40-49 | 24% | |
| 50+ | 26% |
of the worldwide Jason Wu audience comes from United States.
| Country | Share |
|---|---|
| United States | 63.8% |
| United Kingdom | 8.6% |
| Japan | 5.3% |
Where the Jason Wu audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | New York | ~90K | 2.78× | |
| 02 | California | ~100K | 1.91× | |
| 03 | New Jersey | ~30K | 1.88× | |
| 04 | Washington, District of Columbia | ~3K | 1.88× | |
| 05 | Massachusetts | ~20K | 1.71× | |
| 06 | Connecticut | ~9K | 1.62× | |
| 07 | Maryland | ~10K | 1.28× | |
| 08 | Illinois | ~20K | 1.24× | |
| 09 | Florida | ~50K | 1.21× | |
| 10 | Washington | ~10K | 1.21× | |
| 11 | Texas | ~60K | 1.16× | |
| 12 | Virginia | ~20K | 1.16× | |
| 13 | Rhode Island | ~2K | 1.15× | |
| 14 | Hawaii | ~3K | 1.12× | |
| 15 | Georgia | ~20K | 1.11× | |
| 16 | Nevada | ~6K | 1.07× | |
| 17 | Pennsylvania | ~20K | 1.04× | |
| 18 | Arizona | ~10K | 1.00× | |
| 19 | North Carolina | ~20K | 0.99× | |
| 20 | Delaware | ~2K | 0.99× | |
| 21 | Vermont | <1K | 0.97× | |
| 22 | Louisiana | ~7K | 0.94× | |
| 23 | Oregon | ~6K | 0.94× | |
| 24 | New Hampshire | ~2K | 0.93× | |
| 25 | Alaska | ~1K | 0.92× | |
| 26 | Colorado | ~8K | 0.91× | |
| 27 | North Dakota | ~1K | 0.91× | |
| 28 | Indiana | ~9K | 0.90× | |
| 29 | South Dakota | ~1K | 0.90× | |
| 30 | Michigan | ~10K | 0.89× | |
| 31 | Tennessee | ~10K | 0.89× | |
| 32 | Maine | ~2K | 0.89× | |
| 33 | Montana | ~1K | 0.88× | |
| 34 | Mississippi | ~4K | 0.87× | |
| 35 | Missouri | ~8K | 0.86× | |
| 36 | New Mexico | ~2K | 0.86× | |
| 37 | Wisconsin | ~7K | 0.85× | |
| 38 | Alabama | ~7K | 0.85× | |
| 39 | West Virginia | ~2K | 0.85× | |
| 40 | Minnesota | ~7K | 0.84× | |
| 41 | Nebraska | ~2K | 0.84× | |
| 42 | Idaho | ~2K | 0.84× | |
| 43 | South Carolina | ~7K | 0.83× | |
| 44 | Arkansas | ~4K | 0.82× | |
| 45 | Utah | ~4K | 0.81× | |
| 46 | Kentucky | ~6K | 0.80× | |
| 47 | Kansas | ~4K | 0.80× | |
| 48 | Iowa | ~4K | 0.78× | |
| 49 | Oklahoma | ~5K | 0.77× | |
| 50 | Ohio | ~10K | 0.75× |
The strongest cross-interests of the Jason Wu audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Jessica Chastain | Movies & TV | 52.98× | ||
| 02 | Finnair | Travel & Leisure | 47.92× | ||
| 03 | Boucheron | Fashion & Accessoires | 42.09× | ||
| 04 | Chaumet | Fashion & Accessoires | 41.04× | ||
| 05 | Waterworld | Movies & TV | 38.50× | ||
| 06 | Rocky Marciano | Sports | 37.60× | ||
| 07 | Felicity Jones | Movies & TV | 37.17× | ||
| 08 | Kate Beckinsale | Movies & TV | 34.51× | ||
| 09 | Suki Waterhouse | Fashion & Accessoires | 31.43× | ||
| 10 | Roberto Cavalli | Fashion & Accessoires | 30.82× | ||
| 11 | Rick Owens | Fashion & Accessoires | 30.22× | ||
| 12 | Lily Allen | Music & Radio | 30.21× | ||
| 13 | Rosie Huntington-Whiteley | Fashion & Accessoires | 25.58× | ||
| 14 | Alexander McQueen (brand) | Fashion & Accessoires | 23.20× | ||
| 15 | Air Canada | Travel & Leisure | 20.00× | ||
| 16 | DKNY | Fashion & Accessoires | 18.42× | ||
| 17 | Patricia Arquette | Movies & TV | 15.11× | ||
| 18 | Keira Knightley | Movies & TV | 13.24× | ||
| 19 | Bergdorf Goodman | Fashion & Accessoires | 9.63× | ||
| 20 | IKEA | Home & Garden | 4.84× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 3.98× | |
| Pet Ownership | JOY | 3.05× | |
| Design Affinity | PREMIUM | 2.18× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.48× | |
| Risk Appetite | THRILL | 0.87× | |
| Tradition | CONSERVATISM | 0.90× |
Jason Wu's target market in United States covers an estimated 578,434 people, concentrated in California and New York.
74.3% of the Jason Wu audience are female, 25.7% are male, with an average age of 43.0 years.
Jason Wu fans show strongest brand affinity for Jessica Chastain (52.98×), Kate Beckinsale (34.51×), and Lily Allen (30.21×) over the country average.
Jason Wu fans in United States are most concentrated in California (reach ~100K), New York (reach ~90K), and Texas (reach ~60K). These three regions account for the largest share of the active audience.
Beyond Jason Wu itself, the audience over-indexes on Kate Beckinsale (34.51×), Lily Allen (30.21×), Rick Owens (30.22×), and Suki Waterhouse (31.43×) 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 Jason Wu. 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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