A data profile of the people who buy, follow and care about Chinese cuisine in United States — modelled from more than twelve digital signal sources. Chinese cuisine has an estimated audience of 19,328,542 people in United States.
The average Chinese cuisine fan in United States is 39.2 years old, more female, and lives primarily in California.
The audience is concentrated in California, Massachusetts, Texas.
Top brand affinities include Beauty, Shoes, Nate Bargatze, with strongest over-indexing on Beauty (1.75× the country average).
Demographically, the Chinese cuisine audience skews more female with an average age of 39.2, and over-indexes on personality traits such as Early Adopter Mentality, Luxury Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Chinese cuisine fan in United States is more female, around 39.2 years old, with strong Early Adopter Mentality tendencies and a notable affinity for Beauty.
The key figures that characterise the Chinese cuisine profile in United States.
61.9% are female, 38.1% are male, average age 39.2.
| Metric | Value |
|---|---|
| Female | 61.9% |
| Male | 38.1% |
| Average age | 39.2 |
| Estimated audience size | 19,328,542 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 21% | |
| 20-29 | 19% | |
| 30-39 | 19% | |
| 40-49 | 20% | |
| 50+ | 22% |
of the worldwide Chinese cuisine audience comes from United States.
| Country | Share |
|---|---|
| China | 11.1% |
| United States | 10.9% |
| Japan | 10.4% |
Where the Chinese cuisine audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Massachusetts | ~2.5M | 6.57× | |
| 02 | Arkansas | ~700K | 4.32× | |
| 03 | South Carolina | ~600K | 2.03× | |
| 04 | California | ~3M | 1.39× | |
| 05 | Oklahoma | ~300K | 1.35× | |
| 06 | Nevada | ~300K | 1.34× | |
| 07 | New Mexico | ~100K | 1.28× | |
| 08 | Maryland | ~400K | 1.23× | |
| 09 | Washington | ~400K | 1.10× | |
| 10 | Arizona | ~400K | 1.09× | |
| 11 | Georgia | ~600K | 1.08× | |
| 12 | New Hampshire | ~80K | 1.06× | |
| 13 | New York | ~1M | 1.05× | |
| 14 | Hawaii | ~90K | 1.05× | |
| 15 | Vermont | ~40K | 1.04× | |
| 16 | Rhode Island | ~60K | 1.03× | |
| 17 | Texas | ~1.5M | 1.02× | |
| 18 | New Jersey | ~500K | 0.95× | |
| 19 | Nebraska | ~90K | 0.95× | |
| 20 | Oregon | ~200K | 0.94× | |
| 21 | Missouri | ~300K | 0.91× | |
| 22 | Connecticut | ~200K | 0.90× | |
| 23 | Alaska | ~40K | 0.88× | |
| 24 | North Dakota | ~30K | 0.87× | |
| 25 | Pennsylvania | ~600K | 0.86× | |
| 26 | Iowa | ~100K | 0.86× | |
| 27 | South Dakota | ~40K | 0.85× | |
| 28 | Washington, District of Columbia | ~50K | 0.84× | |
| 29 | Delaware | ~40K | 0.84× | |
| 30 | Montana | ~40K | 0.83× | |
| 31 | Illinois | ~500K | 0.80× | |
| 32 | Utah | ~100K | 0.79× | |
| 33 | Maine | ~50K | 0.79× | |
| 34 | North Carolina | ~500K | 0.78× | |
| 35 | West Virginia | ~70K | 0.78× | |
| 36 | Virginia | ~400K | 0.77× | |
| 37 | Mississippi | ~100K | 0.75× | |
| 38 | Idaho | ~70K | 0.75× | |
| 39 | Florida | ~1M | 0.73× | |
| 40 | Colorado | ~200K | 0.72× | |
| 41 | Louisiana | ~200K | 0.72× | |
| 42 | Kansas | ~100K | 0.71× | |
| 43 | Minnesota | ~200K | 0.70× | |
| 44 | Michigan | ~300K | 0.68× | |
| 45 | Kentucky | ~200K | 0.67× | |
| 46 | Alabama | ~200K | 0.66× | |
| 47 | Wisconsin | ~200K | 0.65× | |
| 48 | Tennessee | ~200K | 0.64× | |
| 49 | Ohio | ~400K | 0.63× | |
| 50 | Indiana | ~200K | 0.63× |
The strongest cross-interests of the Chinese cuisine audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Middle Eastern cuisine | Food & Beverages | 5.88× | ||
| 02 | Jackie Chan | Movies & TV | 5.47× | ||
| 03 | Spanish cuisine | Food & Beverages | 5.04× | ||
| 04 | Nate Bargatze | Music & Radio | 4.77× | ||
| 05 | Korean cuisine | Food & Beverages | 4.30× | ||
| 06 | German cuisine | Food & Beverages | 4.14× | ||
| 07 | Latin American cuisine | Food & Beverages | 3.75× | ||
| 08 | Japanese cuisine | Food & Beverages | 3.09× | ||
| 09 | Bad Bunny | Music & Radio | 3.05× | ||
| 10 | Hair Extensions | Beauty & Wellness | 2.71× | ||
| 11 | Manga | Literature | 2.43× | ||
| 12 | Reggaeton | Music & Radio | 2.31× | ||
| 13 | Local food | Food & Beverages | 2.18× | ||
| 14 | Fashion Nova | Shopping | 2.16× | ||
| 15 | In-N-Out Burger | Food & Beverages | 2.09× | ||
| 16 | Macy's | Shopping | 1.91× | ||
| 17 | Marshalls | Fashion & Accessoires | 1.85× | ||
| 18 | Shoes | Fashion & Accessoires | 1.81× | ||
| 19 | Beauty | Beauty & Wellness | 1.75× | ||
| 20 | FIFA World Cup | Sports | 1.66× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 1.39× | |
| Luxury Orientation | PREMIUM | 1.32× | |
| Sustainability | BALANCE | 1.31× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.49× | |
| Need for Security | CONSERVATISM | 0.70× | |
| Spirituality | BALANCE | 0.82× |
Chinese cuisine has an estimated audience of 19,328,542 people in United States, concentrated in California and Massachusetts.
61.9% of Chinese cuisine fans are female, 38.1% are male, with an average age of 39.2 years.
Chinese cuisine fans show strongest brand affinity for Beauty (1.75×), Shoes (1.81×), and Nate Bargatze (4.77×) over the country average.
Chinese cuisine fans in United States are most concentrated in California (reach ~3M), Massachusetts (reach ~2.5M), and Texas (reach ~1.5M). These three regions account for the largest share of the active audience.
Beyond Chinese cuisine itself, the audience over-indexes on Shoes (1.81×), Nate Bargatze (4.77×), Spanish cuisine (5.04×), and Bad Bunny (3.05×) 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 Chinese cuisine. 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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