Michelle Yeoh Audience in United States

Michelle Yeoh has an estimated audience of 2,845,274 people in United States. 77.8% are female, 22.2% are male, average age 43.0. Top regions: California, Texas, New York. Top brand affinities: Taobao, Mitú, Baidu, Priyanka Chopra, Nate Bargatze.
The average Michelle Yeoh fan in United States is 43.0 years old, more female, and lives primarily in California. The audience is concentrated in California, Texas, New York. Top brand affinities include Taobao, Mitú, Baidu, with strongest over-indexing on Taobao (25.24× the country average). Demographically, the Michelle Yeoh audience skews more female with an average age of 43.0, and over-indexes on personality traits such as Patriotism, Early Adopter Mentality. Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
Category: Movies & TV · Type: Person · Subtype: Actor Actress or TV Star
Demographics of Michelle Yeoh fans
| Metric | Value |
|---|---|
| Female | 77.8% |
| Male | 22.2% |
| Average age | 43.0 |
| Estimated audience size | 2,845,274 |
Audience persona
The typical Michelle Yeoh fan in United States is more female, around 43.0 years old, with strong Patriotism tendencies and a notable affinity for Taobao.
Top regions in United States
| Region | Reach | Affinity |
|---|---|---|
| California | 427,996 | 1.37× |
| Texas | 248,704 | 1.02× |
| New York | 190,704 | 1.2× |
| Florida | 186,384 | 0.97× |
| Illinois | 104,651 | 1.1× |
| Pennsylvania | 98,964 | 1.03× |
| Ohio | 85,052 | 0.97× |
| Georgia | 84,062 | 0.96× |
| North Carolina | 82,990 | 0.97× |
| New Jersey | 79,383 | 1.1× |
| Washington | 77,587 | 1.36× |
| Virginia | 74,847 | 1.08× |
| Michigan | 72,455 | 0.97× |
| Arizona | 65,534 | 1.13× |
| Massachusetts | 64,376 | 1.15× |
| Maryland | 54,640 | 1.12× |
| Indiana | 50,104 | 0.96× |
| Tennessee | 49,221 | 0.86× |
| Colorado | 48,749 | 1.09× |
| Missouri | 45,630 | 0.99× |
| Minnesota | 43,172 | 1.06× |
| Wisconsin | 41,287 | 0.96× |
| Oregon | 41,129 | 1.26× |
| South Carolina | 37,622 | 0.88× |
| Utah | 34,958 | 1.37× |
| Connecticut | 31,268 | 1.1× |
| Nevada | 30,448 | 1.11× |
| Kentucky | 30,440 | 0.85× |
| Oklahoma | 29,932 | 0.95× |
| Alabama | 29,897 | 0.75× |
| Louisiana | 29,447 | 0.8× |
| Hawaii | 21,361 | 1.75× |
| Iowa | 21,007 | 0.9× |
| Kansas | 20,853 | 0.93× |
| Arkansas | 19,631 | 0.84× |
| Mississippi | 16,756 | 0.71× |
| Idaho | 14,416 | 1.01× |
| New Mexico | 14,166 | 0.99× |
| Nebraska | 12,265 | 0.86× |
| New Hampshire | 11,158 | 1× |
| Washington, District of Columbia | 9,934 | 1.16× |
| Maine | 9,824 | 0.96× |
| Rhode Island | 8,724 | 0.96× |
| West Virginia | 8,614 | 0.65× |
| Delaware | 6,991 | 0.89× |
| Montana | 6,462 | 0.82× |
| Alaska | 5,928 | 0.97× |
| Vermont | 4,843 | 0.97× |
| South Dakota | 4,592 | 0.7× |
| North Dakota | 4,002 | 0.68× |
Top brand affinities
Brands and entities this audience over-indexes on, vs. the country average.
| Brand | Affinity | Category |
|---|---|---|
| Taobao | 25.24× | Shopping |
| Mitú | 14.69× | Travel & Leisure |
| Baidu | 30.29× | Internet & Social Media |
| Priyanka Chopra | 19.14× | Movies & TV |
| Nate Bargatze | 10.72× | Music & Radio |
| Jackie Chan | 15.39× | Movies & TV |
| Now TV | 33.24× | Movies & TV |
| Jet Li | 26.98× | Movies & TV |
| Music of India | 24.34× | Music & Radio |
| Fresh Off the Boat | 23.92× | Movies & TV |
| Chinese television drama | 23.87× | Movies & TV |
| Chinese astrology | 32.2× | Politics & Society |
| Korean drama | 10.03× | Movies & TV |
| Mooncake | 23.13× | Food & Beverages |
| Gong Yoo | 24.97× | Movies & TV |
| Bruce Lee | 14.3× | Movies & TV |
| Zhang Ziyi | 33.33× | Movies & TV |
| Taiwanese drama | 21.43× | Movies & TV |
| IU (singer) | 20.39× | Music & Radio |
| Daniel Dae Kim | 19.55× | Movies & TV |
Psychographic profile
Top six personality traits over-indexed by this audience (1.0 = country average).
| Trait | Cluster | Score |
|---|---|---|
| Patriotism | CONSERVATISM | 2.11 |
| Early Adopter Mentality | POWER | 1.53 |
| Extroversion | THRILL | 1.46 |
| Spirituality | BALANCE | 1.35 |
| Social Media Usage | JOY | 1.26 |
| Mindfulness | BALANCE | 1.15 |
Worldwide distribution
| Country | Share |
|---|---|
| United States | 36.3% |
| United Kingdom | 6.3% |
| Germany | 5.2% |
See Michelle Yeoh audiences in other countries
More Actor Actress or TV Star audiences in United States
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- Eric Dane (23,340,240)
Frequently asked questions
How many fans does Michelle Yeoh have in United States?
Michelle Yeoh has an estimated audience of 2,845,274 people in United States, concentrated in California and Texas.
What is the gender split and age of Michelle Yeoh fans?
77.8% of Michelle Yeoh fans are female, 22.2% are male, with an average age of 43.0 years.
Which brands do Michelle Yeoh fans like most?
Michelle Yeoh fans show strongest brand affinity for Taobao (25.24×), Mitú (14.69×), and Baidu (30.29×) over the country average.
Where do Michelle Yeoh fans live in United States?
Michelle Yeoh fans in United States are most concentrated in California (reach 427,996), Texas (reach 248,704), and New York (reach 190,704). These three regions account for the largest share of the active audience.
What other brands do Michelle Yeoh fans also like?
Beyond Michelle Yeoh itself, the audience over-indexes on Mitú (14.69×), Baidu (30.29×), Priyanka Chopra (19.14×), and Nate Bargatze (10.72×) compared to the United States average.
How to read this data
Audience size is the estimated number of people in United States who actively search for Michelle Yeoh. 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.
About this audience profile
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.