A data profile of the people who buy, follow and care about Michelle Kwan in United States — modelled from more than twelve digital signal sources. Michelle Kwan has an estimated audience of 849,060 people in United States.
The average Michelle Kwan fan in United States is 43.5 years old, more female, and lives primarily in California.
The audience is concentrated in California, New York, Texas.
Top brand affinities include Weather forecasting, Pinterest, Non-alcoholic beverage, with strongest over-indexing on Weather forecasting (4.85× the country average).
Demographically, the Michelle Kwan audience skews more female with an average age of 43.5, and over-indexes on personality traits such as Career Orientation, Community Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Michelle Kwan fan in United States is more female, around 43.5 years old, with strong Career Orientation tendencies and a notable affinity for Weather forecasting.
The key figures that characterise the Michelle Kwan profile in United States.
77.7% are female, 22.3% are male, average age 43.5.
| Metric | Value |
|---|---|
| Female | 77.7% |
| Male | 22.3% |
| Average age | 43.5 |
| Estimated audience size | 849,060 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 12% | |
| 20-29 | 15% | |
| 30-39 | 18% | |
| 40-49 | 28% | |
| 50+ | 28% |
Where the Michelle Kwan audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | New Jersey | ~50K | 2.43× | |
| 02 | Hawaii | ~7K | 1.97× | |
| 03 | Washington, District of Columbia | ~4K | 1.67× | |
| 04 | California | ~200K | 1.65× | |
| 05 | Rhode Island | ~4K | 1.61× | |
| 06 | Massachusetts | ~20K | 1.37× | |
| 07 | Minnesota | ~20K | 1.30× | |
| 08 | Washington | ~20K | 1.28× | |
| 09 | New York | ~60K | 1.23× | |
| 10 | Maryland | ~20K | 1.20× | |
| 11 | Oregon | ~10K | 1.20× | |
| 12 | Connecticut | ~10K | 1.19× | |
| 13 | Virginia | ~20K | 1.16× | |
| 14 | Colorado | ~20K | 1.13× | |
| 15 | New Hampshire | ~4K | 1.10× | |
| 16 | Pennsylvania | ~30K | 1.09× | |
| 17 | Illinois | ~30K | 1.09× | |
| 18 | Wisconsin | ~10K | 1.07× | |
| 19 | Vermont | ~2K | 1.04× | |
| 20 | Ohio | ~30K | 1.02× | |
| 21 | Alaska | ~2K | 1.00× | |
| 22 | Maine | ~3K | 0.99× | |
| 23 | Montana | ~2K | 0.97× | |
| 24 | Utah | ~7K | 0.96× | |
| 25 | Delaware | ~2K | 0.93× | |
| 26 | Michigan | ~20K | 0.92× | |
| 27 | Nevada | ~8K | 0.92× | |
| 28 | North Dakota | ~2K | 0.92× | |
| 29 | Idaho | ~4K | 0.90× | |
| 30 | Kansas | ~6K | 0.89× | |
| 31 | North Carolina | ~20K | 0.88× | |
| 32 | Iowa | ~6K | 0.88× | |
| 33 | South Dakota | ~2K | 0.87× | |
| 34 | Missouri | ~10K | 0.86× | |
| 35 | Arizona | ~10K | 0.84× | |
| 36 | Nebraska | ~4K | 0.83× | |
| 37 | New Mexico | ~3K | 0.80× | |
| 38 | Arkansas | ~6K | 0.79× | |
| 39 | Texas | ~60K | 0.77× | |
| 40 | Indiana | ~10K | 0.76× | |
| 41 | Georgia | ~20K | 0.74× | |
| 42 | South Carolina | ~10K | 0.74× | |
| 43 | Tennessee | ~10K | 0.73× | |
| 44 | Oklahoma | ~7K | 0.73× | |
| 45 | Kentucky | ~8K | 0.72× | |
| 46 | West Virginia | ~3K | 0.72× | |
| 47 | Florida | ~40K | 0.66× | |
| 48 | Alabama | ~8K | 0.65× | |
| 49 | Louisiana | ~7K | 0.62× | |
| 50 | Mississippi | ~4K | 0.60× |
The strongest cross-interests of the Michelle Kwan audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Weather forecasting | Home & Garden | 4.85× | ||
| 02 | Non-alcoholic beverage | Food & Beverages | 4.40× | ||
| 03 | FedEx | Business & Career | 2.79× | ||
| 04 | Zoo | Kids & Family | 2.78× | ||
| 05 | Rail transport | Travel & Leisure | 2.77× | ||
| 06 | Dunkin' Donuts | Food & Beverages | 2.68× | ||
| 07 | Bakery | Food & Beverages | 2.41× | ||
| 08 | Nonprofit organization | Politics & Society | 2.16× | ||
| 09 | Internet & Social Media | 1.96× | |||
| 10 | Subway | Food & Beverages | 1.90× | ||
| 11 | Burger King | Food & Beverages | 1.87× | ||
| 12 | CNN | Movies & TV | 1.68× | ||
| 13 | Health care | Business & Career | 1.62× | ||
| 14 | Barbecue | Food & Beverages | 1.62× | ||
| 15 | Wine | Food & Beverages | 1.61× | ||
| 16 | Beauty salons | Beauty & Wellness | 1.61× | ||
| 17 | Country music | Music & Radio | 1.59× | ||
| 18 | Coffee | Food & Beverages | 1.58× | ||
| 19 | Recipes | Food & Beverages | 1.56× | ||
| 20 | Alcoholic beverages | Food & Beverages | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 1.71× | |
| Community Orientation | OPEN | 1.66× | |
| Convenience Orientation | PREMIUM | 1.59× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Luxury Orientation | PREMIUM | 0.41× | |
| Design Affinity | PREMIUM | 0.50× | |
| Risk Appetite | THRILL | 0.51× |
Michelle Kwan has an estimated audience of 849,060 people in United States, concentrated in California and New York.
77.7% of Michelle Kwan fans are female, 22.3% are male, with an average age of 43.5 years.
Michelle Kwan fans show strongest brand affinity for Weather forecasting (4.85×), Pinterest (1.96×), and Non-alcoholic beverage (4.4×) over the country average.
Michelle Kwan fans in United States are most concentrated in California (reach ~200K), New York (reach ~60K), and Texas (reach ~60K). These three regions account for the largest share of the active audience.
Beyond Michelle Kwan itself, the audience over-indexes on Pinterest (1.96×), Non-alcoholic beverage (4.4×), Nonprofit organization (2.16×), and FedEx (2.79×) 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 Michelle Kwan. 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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