A data profile of the people who buy, follow and care about Beijing in United States — modelled from more than twelve digital signal sources. Beijing has an estimated audience of 5,634,025 people in United States.
The average Beijing fan in United States is 43.8 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Nate Bargatze, Bad Bunny, Jackie Chan, with strongest over-indexing on Nate Bargatze (15.57× the country average).
Demographically, the Beijing audience skews balanced with an average age of 43.8, and over-indexes on personality traits such as Design Affinity, Quality Awareness.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Beijing fan in United States is balanced, around 43.8 years old, with strong Design Affinity tendencies and a notable affinity for Nate Bargatze.
The key figures that characterise the Beijing profile in United States.
51.0% are female, 49.0% are male, average age 43.8.
| Metric | Value |
|---|---|
| Female | 51.0% |
| Male | 49.0% |
| Average age | 43.8 |
| Estimated audience size | 5,634,025 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 13% | |
| 20-29 | 15% | |
| 30-39 | 16% | |
| 40-49 | 21% | |
| 50+ | 34% |
of the worldwide Beijing audience comes from United States.
| Country | Share |
|---|---|
| China | 14.1% |
| United States | 9.6% |
| Taiwan | 7.4% |
Where the Beijing audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Washington, District of Columbia | ~30K | 1.70× | |
| 02 | New York | ~500K | 1.51× | |
| 03 | Virginia | ~200K | 1.48× | |
| 04 | California | ~900K | 1.42× | |
| 05 | Massachusetts | ~200K | 1.41× | |
| 06 | New Jersey | ~200K | 1.32× | |
| 07 | Washington | ~100K | 1.31× | |
| 08 | Maryland | ~100K | 1.26× | |
| 09 | Connecticut | ~70K | 1.25× | |
| 10 | Hawaii | ~30K | 1.21× | |
| 11 | Louisiana | ~90K | 1.18× | |
| 12 | Georgia | ~200K | 1.14× | |
| 13 | Mississippi | ~50K | 1.14× | |
| 14 | Indiana | ~100K | 1.13× | |
| 15 | Kansas | ~50K | 1.10× | |
| 16 | Texas | ~500K | 1.09× | |
| 17 | Illinois | ~200K | 1.09× | |
| 18 | Pennsylvania | ~200K | 1.05× | |
| 19 | South Carolina | ~90K | 1.02× | |
| 20 | Minnesota | ~80K | 1.01× | |
| 21 | Utah | ~50K | 1.01× | |
| 22 | Florida | ~400K | 1.00× | |
| 23 | Oregon | ~60K | 0.98× | |
| 24 | Missouri | ~90K | 0.97× | |
| 25 | North Carolina | ~200K | 0.96× | |
| 26 | New Mexico | ~30K | 0.96× | |
| 27 | Ohio | ~200K | 0.92× | |
| 28 | Nevada | ~50K | 0.92× | |
| 29 | New Hampshire | ~20K | 0.92× | |
| 30 | Rhode Island | ~20K | 0.92× | |
| 31 | Alaska | ~10K | 0.92× | |
| 32 | Arizona | ~100K | 0.91× | |
| 33 | Colorado | ~80K | 0.89× | |
| 34 | Vermont | ~9K | 0.89× | |
| 35 | Oklahoma | ~60K | 0.88× | |
| 36 | Iowa | ~40K | 0.87× | |
| 37 | Delaware | ~10K | 0.87× | |
| 38 | South Dakota | ~10K | 0.84× | |
| 39 | Wisconsin | ~70K | 0.83× | |
| 40 | Michigan | ~100K | 0.81× | |
| 41 | Idaho | ~20K | 0.81× | |
| 42 | Nebraska | ~20K | 0.81× | |
| 43 | Maine | ~20K | 0.80× | |
| 44 | Montana | ~10K | 0.80× | |
| 45 | Tennessee | ~90K | 0.79× | |
| 46 | North Dakota | ~9K | 0.79× | |
| 47 | Kentucky | ~50K | 0.78× | |
| 48 | Arkansas | ~40K | 0.76× | |
| 49 | Alabama | ~60K | 0.75× | |
| 50 | West Virginia | ~20K | 0.73× |
The strongest cross-interests of the Beijing audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Chinese television drama | Movies & TV | 26.97× | ||
| 02 | Baidu | Internet & Social Media | 26.83× | ||
| 03 | Michelle Yeoh | Movies & TV | 26.73× | ||
| 04 | Taiwanese drama | Movies & TV | 26.49× | ||
| 05 | Music of India | Music & Radio | 26.33× | ||
| 06 | Taobao | Shopping | 25.14× | ||
| 07 | Internet & Social Media | 24.37× | |||
| 08 | Fresh Off the Boat | Movies & TV | 23.47× | ||
| 09 | IU (singer) | Music & Radio | 22.73× | ||
| 10 | Kumail Nanjiani | Movies & TV | 22.11× | ||
| 11 | Jackie Chan | Movies & TV | 21.60× | ||
| 12 | Nate Bargatze | Music & Radio | 15.57× | ||
| 13 | Janet Jackson | Music & Radio | 14.78× | ||
| 14 | Love & Hip Hop: Atlanta | Movies & TV | 13.34× | ||
| 15 | Malaysia | Travel & Leisure | 11.99× | ||
| 16 | Bad Bunny | Music & Radio | 11.23× | ||
| 17 | Mitú | Travel & Leisure | 10.29× | ||
| 18 | Hong Kong | Travel & Leisure | 10.16× | ||
| 19 | K-pop | Music & Radio | 7.73× | ||
| 20 | KPop Demon Hunters | Movies & TV | 5.56× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 1.61× | |
| Quality Awareness | PREMIUM | 1.56× | |
| Luxury Orientation | PREMIUM | 1.56× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.76× | |
| Risk Appetite | THRILL | 0.82× | |
| Need for Security | CONSERVATISM | 0.83× |
Beijing has an estimated audience of 5,634,025 people in United States, concentrated in California and Texas.
51.0% of Beijing fans are female, 49.0% are male, with an average age of 43.8 years.
Beijing fans show strongest brand affinity for Nate Bargatze (15.57×), Bad Bunny (11.23×), and Jackie Chan (21.6×) over the country average.
Beijing fans in United States are most concentrated in California (reach ~900K), Texas (reach ~500K), and New York (reach ~500K). These three regions account for the largest share of the active audience.
Beyond Beijing itself, the audience over-indexes on Bad Bunny (11.23×), Jackie Chan (21.6×), Taobao (25.14×), and Michelle Yeoh (26.73×) 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 Beijing. 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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