A data profile of the people who buy, follow and care about Zhang Ziyi in United States — modelled from more than twelve digital signal sources. Zhang Ziyi has an estimated audience of 823,930 people in United States.
The average Zhang Ziyi fan in United States is 42.4 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Michelle Yeoh, Priyanka Chopra, Malaysia, with strongest over-indexing on Michelle Yeoh (33.33× the country average).
Demographically, the Zhang Ziyi audience skews more female with an average age of 42.4, and over-indexes on personality traits such as Patriotism, Spirituality.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Zhang Ziyi fan in United States is more female, around 42.4 years old, with strong Patriotism tendencies and a notable affinity for Michelle Yeoh.
The key figures that characterise the Zhang Ziyi profile in United States.
84.1% are female, 15.9% are male, average age 42.4.
| Metric | Value |
|---|---|
| Female | 84.1% |
| Male | 15.9% |
| Average age | 42.4 |
| Estimated audience size | 823,930 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 15% | |
| 20-29 | 16% | |
| 30-39 | 19% | |
| 40-49 | 22% | |
| 50+ | 29% |
Where the Zhang Ziyi audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hawaii | ~10K | 2.92× | |
| 02 | California | ~200K | 1.76× | |
| 03 | New Mexico | ~6K | 1.52× | |
| 04 | Washington | ~20K | 1.48× | |
| 05 | Nevada | ~10K | 1.48× | |
| 06 | New York | ~60K | 1.25× | |
| 07 | Alaska | ~2K | 1.23× | |
| 08 | Texas | ~90K | 1.22× | |
| 09 | Arizona | ~20K | 1.15× | |
| 10 | Oregon | ~10K | 1.14× | |
| 11 | Maryland | ~20K | 1.13× | |
| 12 | Georgia | ~30K | 1.06× | |
| 13 | Colorado | ~10K | 1.06× | |
| 14 | Utah | ~8K | 1.06× | |
| 15 | Minnesota | ~10K | 1.03× | |
| 16 | Washington, District of Columbia | ~3K | 1.03× | |
| 17 | Illinois | ~30K | 1.02× | |
| 18 | Virginia | ~20K | 1.02× | |
| 19 | Massachusetts | ~20K | 1.02× | |
| 20 | New Jersey | ~20K | 1.01× | |
| 21 | Oklahoma | ~9K | 1.00× | |
| 22 | Connecticut | ~8K | 0.96× | |
| 23 | Idaho | ~4K | 0.93× | |
| 24 | Montana | ~2K | 0.92× | |
| 25 | Louisiana | ~10K | 0.90× | |
| 26 | Florida | ~50K | 0.89× | |
| 27 | North Carolina | ~20K | 0.89× | |
| 28 | Rhode Island | ~2K | 0.89× | |
| 29 | Delaware | ~2K | 0.88× | |
| 30 | Arkansas | ~6K | 0.87× | |
| 31 | Kansas | ~6K | 0.87× | |
| 32 | North Dakota | ~1K | 0.87× | |
| 33 | Mississippi | ~6K | 0.86× | |
| 34 | Tennessee | ~10K | 0.85× | |
| 35 | Missouri | ~10K | 0.84× | |
| 36 | Pennsylvania | ~20K | 0.83× | |
| 37 | Michigan | ~20K | 0.83× | |
| 38 | Wisconsin | ~10K | 0.83× | |
| 39 | South Dakota | ~2K | 0.82× | |
| 40 | Vermont | ~1K | 0.82× | |
| 41 | South Carolina | ~10K | 0.81× | |
| 42 | New Hampshire | ~3K | 0.80× | |
| 43 | Indiana | ~10K | 0.79× | |
| 44 | Kentucky | ~8K | 0.78× | |
| 45 | Nebraska | ~3K | 0.78× | |
| 46 | Ohio | ~20K | 0.77× | |
| 47 | Maine | ~2K | 0.77× | |
| 48 | Alabama | ~9K | 0.76× | |
| 49 | Iowa | ~5K | 0.76× | |
| 50 | West Virginia | ~3K | 0.74× |
The strongest cross-interests of the Zhang Ziyi audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Michelle Yeoh | Movies & TV | 33.33× | ||
| 02 | Jet Li | Movies & TV | 33.23× | ||
| 03 | Jamie Chung | Movies & TV | 28.14× | ||
| 04 | Kumail Nanjiani | Movies & TV | 27.57× | ||
| 05 | Mooncake | Food & Beverages | 26.97× | ||
| 06 | M. Night Shyamalan | Movies & TV | 26.02× | ||
| 07 | Padma Lakshmi | Fashion & Accessoires | 23.94× | ||
| 08 | Priyanka Chopra | Movies & TV | 23.78× | ||
| 09 | Taobao | Shopping | 22.74× | ||
| 10 | Daniel Dae Kim | Movies & TV | 21.51× | ||
| 11 | Steven Yeun | Movies & TV | 20.75× | ||
| 12 | Jackie Chan | Movies & TV | 20.63× | ||
| 13 | Viola Davis | Movies & TV | 20.00× | ||
| 14 | Bruce Lee | Movies & TV | 19.81× | ||
| 15 | Malaysia | Travel & Leisure | 18.38× | ||
| 16 | Cate Blanchett | Movies & TV | 16.38× | ||
| 17 | Taiwan | Travel & Leisure | 15.95× | ||
| 18 | Chris Pratt | Movies & TV | 11.37× | ||
| 19 | Anne Hathaway | Movies & TV | 10.28× | ||
| 20 | Superman | Movies & TV | 2.99× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 2.17× | |
| Spirituality | BALANCE | 1.48× | |
| Mindfulness | BALANCE | 1.42× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 0.61× | |
| Risk Appetite | THRILL | 0.65× | |
| Creativity | OPEN | 0.76× |
Zhang Ziyi has an estimated audience of 823,930 people in United States, concentrated in California and Texas.
84.1% of Zhang Ziyi fans are female, 15.9% are male, with an average age of 42.4 years.
Zhang Ziyi fans show strongest brand affinity for Michelle Yeoh (33.33×), Priyanka Chopra (23.78×), and Malaysia (18.38×) over the country average.
Zhang Ziyi fans in United States are most concentrated in California (reach ~200K), Texas (reach ~90K), and New York (reach ~60K). These three regions account for the largest share of the active audience.
Beyond Zhang Ziyi itself, the audience over-indexes on Priyanka Chopra (23.78×), Malaysia (18.38×), Jackie Chan (20.63×), and Taiwan (15.95×) 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 Zhang Ziyi. 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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