A data profile of the people who buy, follow and care about 1990s in fashion in United States — modelled from more than twelve digital signal sources. 1990s in fashion has an estimated audience of 21,144,509 people in United States.
The average 1990s in fashion fan in United States is 39.8 years old, more female, and lives primarily in Texas.
The audience is concentrated in Texas, California, Florida.
Top brand affinities include Slim-fit pants, Formal wear, Trousers, with strongest over-indexing on Slim-fit pants (11.77× the country average).
Demographically, the 1990s in fashion audience skews more female with an average age of 39.8, and over-indexes on personality traits such as Luxury Orientation, Price Sensitivity.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical 1990s in fashion fan in United States is more female, around 39.8 years old, with strong Luxury Orientation tendencies and a notable affinity for Slim-fit pants.
The key figures that characterise the 1990s in fashion profile in United States.
66.4% are female, 33.6% are male, average age 39.8.
| Metric | Value |
|---|---|
| Female | 66.4% |
| Male | 33.6% |
| Average age | 39.8 |
| Estimated audience size | 21,144,509 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 17% | |
| 20-29 | 20% | |
| 30-39 | 22% | |
| 40-49 | 22% | |
| 50+ | 20% |
of the worldwide 1990s in fashion audience comes from United States.
| Country | Share |
|---|---|
| United States | 32.6% |
| United Kingdom | 7.2% |
| Italy | 5.2% |
Where the 1990s in fashion audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Texas | ~3M | 1.57× | |
| 02 | Utah | ~300K | 1.38× | |
| 03 | Louisiana | ~400K | 1.31× | |
| 04 | Missouri | ~400K | 1.23× | |
| 05 | Alabama | ~400K | 1.22× | |
| 06 | Arkansas | ~200K | 1.17× | |
| 07 | Kansas | ~200K | 1.14× | |
| 08 | Arizona | ~500K | 1.11× | |
| 09 | Mississippi | ~200K | 1.11× | |
| 10 | Georgia | ~700K | 1.10× | |
| 11 | North Carolina | ~700K | 1.08× | |
| 12 | Idaho | ~100K | 1.07× | |
| 13 | Oklahoma | ~200K | 1.06× | |
| 14 | Nebraska | ~100K | 1.06× | |
| 15 | Virginia | ~500K | 1.05× | |
| 16 | West Virginia | ~100K | 1.05× | |
| 17 | South Carolina | ~300K | 1.04× | |
| 18 | Indiana | ~400K | 1.03× | |
| 19 | Iowa | ~200K | 1.03× | |
| 20 | Illinois | ~700K | 1.02× | |
| 21 | Kentucky | ~300K | 1.02× | |
| 22 | Hawaii | ~90K | 1.02× | |
| 23 | South Dakota | ~50K | 1.02× | |
| 24 | North Dakota | ~40K | 1.01× | |
| 25 | Wisconsin | ~300K | 1.00× | |
| 26 | Minnesota | ~300K | 0.99× | |
| 27 | Ohio | ~600K | 0.98× | |
| 28 | Maryland | ~400K | 0.98× | |
| 29 | Nevada | ~200K | 0.98× | |
| 30 | Pennsylvania | ~700K | 0.96× | |
| 31 | Michigan | ~500K | 0.96× | |
| 32 | New Jersey | ~500K | 0.95× | |
| 33 | Tennessee | ~400K | 0.95× | |
| 34 | New Mexico | ~100K | 0.95× | |
| 35 | New Hampshire | ~80K | 0.95× | |
| 36 | Maine | ~70K | 0.94× | |
| 37 | Vermont | ~40K | 0.94× | |
| 38 | Montana | ~50K | 0.93× | |
| 39 | Alaska | ~40K | 0.93× | |
| 40 | Connecticut | ~200K | 0.92× | |
| 41 | Rhode Island | ~60K | 0.92× | |
| 42 | Delaware | ~50K | 0.92× | |
| 43 | California | ~2M | 0.91× | |
| 44 | Washington | ~400K | 0.91× | |
| 45 | Oregon | ~200K | 0.89× | |
| 46 | Colorado | ~300K | 0.85× | |
| 47 | Washington, District of Columbia | ~50K | 0.85× | |
| 48 | Massachusetts | ~400K | 0.84× | |
| 49 | New York | ~900K | 0.80× | |
| 50 | Florida | ~1M | 0.78× |
The strongest cross-interests of the 1990s in fashion audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Slim-fit pants | Fashion & Accessoires | 11.77× | ||
| 02 | Formal wear | Fashion & Accessoires | 8.08× | ||
| 03 | Acne Studios | Fashion & Accessoires | 6.18× | ||
| 04 | Air Jordan | Fashion & Accessoires | 3.69× | ||
| 05 | Milan | Travel & Leisure | 3.47× | ||
| 06 | Aerobics | Sports | 3.28× | ||
| 07 | Deal of the day | Shopping | 2.94× | ||
| 08 | Sneaker collecting | Fashion & Accessoires | 2.93× | ||
| 09 | Diaper bag | Kids & Family | 2.74× | ||
| 10 | Broadway theatre | Travel & Leisure | 2.62× | ||
| 11 | Drop shipping | Shopping | 2.42× | ||
| 12 | Trousers | Fashion & Accessoires | 2.38× | ||
| 13 | Western wear | Fashion & Accessoires | 2.04× | ||
| 14 | Skirt | Fashion & Accessoires | 2.02× | ||
| 15 | ULTA Beauty | Beauty & Wellness | 1.98× | ||
| 16 | Men's clothing | Fashion & Accessoires | 1.97× | ||
| 17 | Planet Fitness | Sports | 1.96× | ||
| 18 | Nordstrom rack | Fashion & Accessoires | 1.73× | ||
| 19 | Hairstyle | Beauty & Wellness | 1.62× | ||
| 20 | Happiness | Health | 1.56× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Luxury Orientation | PREMIUM | 1.81× | |
| Price Sensitivity | PREMIUM | 1.72× | |
| Mindfulness | BALANCE | 1.63× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Quality Awareness | PREMIUM | 0.74× | |
| Need for Security | CONSERVATISM | 0.78× | |
| Individualism | JOY | 0.86× |
1990s in fashion has an estimated audience of 21,144,509 people in United States, concentrated in Texas and California.
66.4% of 1990s in fashion fans are female, 33.6% are male, with an average age of 39.8 years.
1990s in fashion fans show strongest brand affinity for Slim-fit pants (11.77×), Formal wear (8.08×), and Trousers (2.38×) over the country average.
1990s in fashion fans in United States are most concentrated in Texas (reach ~3M), California (reach ~2M), and Florida (reach ~1M). These three regions account for the largest share of the active audience.
Beyond 1990s in fashion itself, the audience over-indexes on Formal wear (8.08×), Trousers (2.38×), Planet Fitness (1.96×), and Deal of the day (2.94×) 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 1990s in 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.
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