A data profile of the people who buy, follow and care about Fan Bingbing in United States — modelled from more than twelve digital signal sources. Fan Bingbing has an estimated audience of 724,819 people in United States.
The average Fan Bingbing fan in United States is 42.9 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Nate Bargatze, Jackie Chan, Baidu, with strongest over-indexing on Nate Bargatze (20.74× the country average).
Demographically, the Fan Bingbing audience skews more female with an average age of 42.9, and over-indexes on personality traits such as Creativity, Price Sensitivity.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Fan Bingbing fan in United States is more female, around 42.9 years old, with strong Creativity tendencies and a notable affinity for Nate Bargatze.
The key figures that characterise the Fan Bingbing profile in United States.
82.8% are female, 17.2% are male, average age 42.9.
| Metric | Value |
|---|---|
| Female | 82.8% |
| Male | 17.2% |
| Average age | 42.9 |
| Estimated audience size | 724,819 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 14% | |
| 20-29 | 16% | |
| 30-39 | 18% | |
| 40-49 | 22% | |
| 50+ | 30% |
of the worldwide Fan Bingbing audience comes from United States.
| Country | Share |
|---|---|
| United States | 28.0% |
| China | 12.9% |
| Malaysia | 6.6% |
Where the Fan Bingbing audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hawaii | ~7K | 2.32× | |
| 02 | Idaho | ~8K | 2.18× | |
| 03 | California | ~100K | 1.82× | |
| 04 | Washington | ~20K | 1.50× | |
| 05 | Nevada | ~9K | 1.35× | |
| 06 | New York | ~50K | 1.34× | |
| 07 | Arizona | ~20K | 1.16× | |
| 08 | Alaska | ~2K | 1.16× | |
| 09 | New Mexico | ~4K | 1.15× | |
| 10 | New Jersey | ~20K | 1.14× | |
| 11 | Maryland | ~10K | 1.14× | |
| 12 | Massachusetts | ~20K | 1.12× | |
| 13 | Minnesota | ~10K | 1.09× | |
| 14 | Oregon | ~9K | 1.09× | |
| 15 | Texas | ~60K | 1.05× | |
| 16 | Virginia | ~20K | 1.05× | |
| 17 | Florida | ~50K | 0.97× | |
| 18 | Oklahoma | ~8K | 0.97× | |
| 19 | Washington, District of Columbia | ~2K | 0.97× | |
| 20 | Georgia | ~20K | 0.95× | |
| 21 | Connecticut | ~7K | 0.95× | |
| 22 | Delaware | ~2K | 0.95× | |
| 23 | Illinois | ~20K | 0.94× | |
| 24 | Colorado | ~10K | 0.94× | |
| 25 | New Hampshire | ~3K | 0.94× | |
| 26 | Wisconsin | ~10K | 0.91× | |
| 27 | North Carolina | ~20K | 0.89× | |
| 28 | Rhode Island | ~2K | 0.89× | |
| 29 | Pennsylvania | ~20K | 0.88× | |
| 30 | Michigan | ~20K | 0.88× | |
| 31 | Utah | ~6K | 0.88× | |
| 32 | Nebraska | ~3K | 0.88× | |
| 33 | Montana | ~2K | 0.88× | |
| 34 | Vermont | ~1K | 0.88× | |
| 35 | Maine | ~2K | 0.87× | |
| 36 | South Carolina | ~9K | 0.86× | |
| 37 | Missouri | ~10K | 0.85× | |
| 38 | South Dakota | ~1K | 0.85× | |
| 39 | North Dakota | ~1K | 0.85× | |
| 40 | Tennessee | ~10K | 0.83× | |
| 41 | Kansas | ~5K | 0.83× | |
| 42 | Kentucky | ~7K | 0.82× | |
| 43 | Alabama | ~8K | 0.80× | |
| 44 | Arkansas | ~5K | 0.80× | |
| 45 | West Virginia | ~3K | 0.80× | |
| 46 | Indiana | ~10K | 0.79× | |
| 47 | Ohio | ~20K | 0.78× | |
| 48 | Iowa | ~4K | 0.76× | |
| 49 | Mississippi | ~4K | 0.76× | |
| 50 | Louisiana | ~7K | 0.75× |
The strongest cross-interests of the Fan Bingbing audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Baidu | Internet & Social Media | 42.69× | ||
| 02 | Taiwanese drama | Movies & TV | 36.33× | ||
| 03 | Chinese television drama | Movies & TV | 34.74× | ||
| 04 | Jet Li | Movies & TV | 33.53× | ||
| 05 | Mooncake | Food & Beverages | 32.97× | ||
| 06 | Taobao | Shopping | 30.80× | ||
| 07 | Michelle Yeoh | Movies & TV | 30.01× | ||
| 08 | Kumail Nanjiani | Movies & TV | 29.55× | ||
| 09 | Jackie Chan | Movies & TV | 27.77× | ||
| 10 | Zodiac (film) | Movies & TV | 26.99× | ||
| 11 | Bruce Lee | Movies & TV | 25.90× | ||
| 12 | Priyanka Chopra | Movies & TV | 23.07× | ||
| 13 | Nate Bargatze | Music & Radio | 20.74× | ||
| 14 | Anya Taylor-Joy | Movies & TV | 20.57× | ||
| 15 | Chinese language | Politics & Society | 20.23× | ||
| 16 | Mitú | Travel & Leisure | 17.75× | ||
| 17 | Taiwan | Travel & Leisure | 17.37× | ||
| 18 | The Breakfast Club | Movies & TV | 11.83× | ||
| 19 | East Asia | Travel & Leisure | 11.38× | ||
| 20 | Reggaeton | Music & Radio | 8.18× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 1.59× | |
| Price Sensitivity | PREMIUM | 1.59× | |
| Community Orientation | OPEN | 1.58× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.98× | |
| Pet Ownership | JOY | 1.05× | |
| Risk Appetite | THRILL | 1.07× |
Fan Bingbing has an estimated audience of 724,819 people in United States, concentrated in California and Texas.
82.8% of Fan Bingbing fans are female, 17.2% are male, with an average age of 42.9 years.
Fan Bingbing fans show strongest brand affinity for Nate Bargatze (20.74×), Jackie Chan (27.77×), and Baidu (42.69×) over the country average.
Fan Bingbing fans in United States are most concentrated in California (reach ~100K), Texas (reach ~60K), and New York (reach ~50K). These three regions account for the largest share of the active audience.
Beyond Fan Bingbing itself, the audience over-indexes on Jackie Chan (27.77×), Baidu (42.69×), Taobao (30.8×), and Bruce Lee (25.9×) 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 Fan Bingbing. 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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.