A data profile of the people who buy, follow and care about Chinese restaurant in United States — modelled from more than twelve digital signal sources. Chinese restaurant has an estimated audience of 784,918 people in United States.
The average Chinese restaurant fan in United States is 39.2 years old, more female, and lives primarily in California.
The audience is concentrated in California, New York, Texas.
Top brand affinities include Din Tai Fung, Cantonese cuisine, Panda Express, with strongest over-indexing on Din Tai Fung (11.56× the country average).
Demographically, the Chinese restaurant audience skews more female with an average age of 39.2, and over-indexes on personality traits such as Indulgence, Travelling.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Chinese restaurant fan in United States is more female, around 39.2 years old, with strong Indulgence tendencies and a notable affinity for Din Tai Fung.
The key figures that characterise the Chinese restaurant profile in United States.
56.6% are female, 43.4% are male, average age 39.2.
| Metric | Value |
|---|---|
| Female | 56.6% |
| Male | 43.4% |
| Average age | 39.2 |
| Estimated audience size | 784,918 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 21% | |
| 20-29 | 18% | |
| 30-39 | 20% | |
| 40-49 | 21% | |
| 50+ | 21% |
of the worldwide Chinese restaurant audience comes from United States.
| Country | Share |
|---|---|
| China | 33.0% |
| United Kingdom | 7.0% |
| Philippines | 6.5% |
Where the Chinese restaurant audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Wyoming | ~3K | 2.21× | |
| 02 | New York | ~80K | 1.71× | |
| 03 | South Carolina | ~20K | 1.69× | |
| 04 | New Jersey | ~30K | 1.48× | |
| 05 | California | ~100K | 1.43× | |
| 06 | Kansas | ~9K | 1.43× | |
| 07 | Hawaii | ~5K | 1.39× | |
| 08 | North Carolina | ~30K | 1.28× | |
| 09 | Massachusetts | ~20K | 1.26× | |
| 10 | Georgia | ~30K | 1.25× | |
| 11 | Connecticut | ~10K | 1.24× | |
| 12 | Washington | ~20K | 1.20× | |
| 13 | Virginia | ~20K | 1.18× | |
| 14 | Washington, District of Columbia | ~3K | 1.15× | |
| 15 | Minnesota | ~10K | 1.10× | |
| 16 | New Hampshire | ~3K | 1.10× | |
| 17 | Florida | ~60K | 1.05× | |
| 18 | Oregon | ~9K | 1.04× | |
| 19 | Nevada | ~8K | 1.04× | |
| 20 | Ohio | ~20K | 1.03× | |
| 21 | Delaware | ~2K | 1.03× | |
| 22 | Pennsylvania | ~30K | 1.00× | |
| 23 | Illinois | ~30K | 1.00× | |
| 24 | Missouri | ~10K | 0.99× | |
| 25 | Maryland | ~10K | 0.98× | |
| 26 | Michigan | ~20K | 0.94× | |
| 27 | Vermont | ~1K | 0.90× | |
| 28 | New Mexico | ~4K | 0.89× | |
| 29 | Rhode Island | ~2K | 0.89× | |
| 30 | Texas | ~60K | 0.85× | |
| 31 | Arizona | ~10K | 0.85× | |
| 32 | Tennessee | ~10K | 0.85× | |
| 33 | Indiana | ~10K | 0.85× | |
| 34 | Colorado | ~10K | 0.84× | |
| 35 | Louisiana | ~8K | 0.83× | |
| 36 | Alaska | ~1K | 0.80× | |
| 37 | Alabama | ~9K | 0.79× | |
| 38 | Mississippi | ~5K | 0.77× | |
| 39 | Wisconsin | ~9K | 0.75× | |
| 40 | Kentucky | ~7K | 0.75× | |
| 41 | Maine | ~2K | 0.75× | |
| 42 | West Virginia | ~3K | 0.74× | |
| 43 | Arkansas | ~5K | 0.72× | |
| 44 | Oklahoma | ~6K | 0.71× | |
| 45 | Utah | ~5K | 0.70× | |
| 46 | Montana | ~2K | 0.70× | |
| 47 | Iowa | ~4K | 0.69× | |
| 48 | South Dakota | ~1K | 0.63× | |
| 49 | Idaho | ~2K | 0.62× | |
| 50 | Nebraska | ~2K | 0.61× |
The strongest cross-interests of the Chinese restaurant audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Coop | Food & Beverages | 23.32× | ||
| 02 | Cantonese cuisine | Food & Beverages | 23.00× | ||
| 03 | American Chinese cuisine | Food & Beverages | 21.75× | ||
| 04 | Din Tai Fung | Food & Beverages | 11.56× | ||
| 05 | Asian cuisine | Food & Beverages | 4.37× | ||
| 06 | Panda Express | Food & Beverages | 4.04× | ||
| 07 | Chinese cuisine | Food & Beverages | 3.43× | ||
| 08 | Zoom (TV channel) | Technology & Electronics | 2.82× | ||
| 09 | Subway | Food & Beverages | 2.02× | ||
| 10 | Texas Roadhouse | Food & Beverages | 2.00× | ||
| 11 | Customer | Business & Career | 1.87× | ||
| 12 | Macy's | Shopping | 1.87× | ||
| 13 | Eating | Food & Beverages | 1.78× | ||
| 14 | Coffeehouses | Food & Beverages | 1.71× | ||
| 15 | Dollar Tree | Shopping | 1.62× | ||
| 16 | Fast food | Food & Beverages | 1.61× | ||
| 17 | American Airlines | Travel & Leisure | 1.59× | ||
| 18 | Trader Joe's | Shopping | 1.59× | ||
| 19 | Walgreens | Shopping | 1.57× | ||
| 20 | Meat | Food & Beverages | 1.55× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 1.48× | |
| Travelling | THRILL | 1.44× | |
| Convenience Orientation | PREMIUM | 1.41× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Mindfulness | BALANCE | 0.91× | |
| DIY Mentality | THRILL | 0.97× | |
| Sustainability | BALANCE | 0.98× |
Chinese restaurant has an estimated audience of 784,918 people in United States, concentrated in California and New York.
56.6% of Chinese restaurant fans are female, 43.4% are male, with an average age of 39.2 years.
Chinese restaurant fans show strongest brand affinity for Din Tai Fung (11.56×), Cantonese cuisine (23×), and Panda Express (4.04×) over the country average.
Chinese restaurant fans in United States are most concentrated in California (reach ~100K), New York (reach ~80K), and Texas (reach ~60K). These three regions account for the largest share of the active audience.
Beyond Chinese restaurant itself, the audience over-indexes on Cantonese cuisine (23×), Panda Express (4.04×), Coop (23.32×), and American Chinese cuisine (21.75×) 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 restaurant. 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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