A data profile of the people who buy, follow and care about David Chang in United States — modelled from more than twelve digital signal sources. David Chang has an estimated audience of 484,601 people in United States.
The average David Chang fan in United States is 40.7 years old, more female, and lives primarily in California.
The audience is concentrated in California, New York, Texas.
Top brand affinities include Beijing, Michelle Yeoh, Taiwan, with strongest over-indexing on Beijing (21.15× the country average).
Demographically, the David Chang audience skews more female with an average age of 40.7, and over-indexes on personality traits such as Indulgence, Tradition.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical David Chang fan in United States is more female, around 40.7 years old, with strong Indulgence tendencies and a notable affinity for Beijing.
The key figures that characterise the David Chang profile in United States.
75.9% are female, 24.1% are male, average age 40.7.
| Metric | Value |
|---|---|
| Female | 75.9% |
| Male | 24.1% |
| Average age | 40.7 |
| Estimated audience size | 484,601 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 18% | |
| 20-29 | 19% | |
| 30-39 | 19% | |
| 40-49 | 20% | |
| 50+ | 26% |
of the worldwide David Chang audience comes from United States.
| Country | Share |
|---|---|
| United States | 77.9% |
| Canada | 7.2% |
| United Kingdom | 2.5% |
Where the David Chang audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Nevada | ~10K | 2.28× | |
| 02 | California | ~100K | 2.09× | |
| 03 | Washington, District of Columbia | ~3K | 1.83× | |
| 04 | Hawaii | ~4K | 1.77× | |
| 05 | Washington | ~20K | 1.66× | |
| 06 | New York | ~40K | 1.60× | |
| 07 | Oregon | ~9K | 1.58× | |
| 08 | Massachusetts | ~10K | 1.33× | |
| 09 | Colorado | ~10K | 1.32× | |
| 10 | Virginia | ~10K | 1.20× | |
| 11 | Connecticut | ~6K | 1.16× | |
| 12 | Minnesota | ~8K | 1.14× | |
| 13 | Vermont | <1K | 1.14× | |
| 14 | Maryland | ~10K | 1.13× | |
| 15 | Illinois | ~20K | 1.11× | |
| 16 | New Jersey | ~10K | 1.11× | |
| 17 | New Hampshire | ~2K | 1.06× | |
| 18 | Arizona | ~10K | 1.05× | |
| 19 | Maine | ~2K | 1.01× | |
| 20 | Rhode Island | ~2K | 1.01× | |
| 21 | Montana | ~1K | 0.99× | |
| 22 | Alaska | ~1K | 0.97× | |
| 23 | Pennsylvania | ~20K | 0.93× | |
| 24 | Wisconsin | ~7K | 0.90× | |
| 25 | Idaho | ~2K | 0.89× | |
| 26 | New Mexico | ~2K | 0.88× | |
| 27 | Missouri | ~7K | 0.87× | |
| 28 | Utah | ~4K | 0.85× | |
| 29 | North Carolina | ~10K | 0.83× | |
| 30 | Michigan | ~10K | 0.83× | |
| 31 | Kansas | ~3K | 0.83× | |
| 32 | Delaware | ~1K | 0.83× | |
| 33 | Texas | ~30K | 0.82× | |
| 34 | Nebraska | ~2K | 0.82× | |
| 35 | North Dakota | <1K | 0.82× | |
| 36 | South Dakota | <1K | 0.80× | |
| 37 | Georgia | ~10K | 0.79× | |
| 38 | Tennessee | ~8K | 0.79× | |
| 39 | Iowa | ~3K | 0.78× | |
| 40 | Florida | ~30K | 0.76× | |
| 41 | Oklahoma | ~4K | 0.75× | |
| 42 | Ohio | ~10K | 0.73× | |
| 43 | Indiana | ~7K | 0.73× | |
| 44 | West Virginia | ~2K | 0.73× | |
| 45 | Louisiana | ~4K | 0.71× | |
| 46 | South Carolina | ~5K | 0.70× | |
| 47 | Arkansas | ~3K | 0.70× | |
| 48 | Kentucky | ~4K | 0.68× | |
| 49 | Mississippi | ~3K | 0.64× | |
| 50 | Alabama | ~4K | 0.63× |
The strongest cross-interests of the David Chang audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Michelle Yeoh | Movies & TV | 29.97× | ||
| 02 | Jet Li | Movies & TV | 29.00× | ||
| 03 | Jamie Oliver | Food & Beverages | 28.13× | ||
| 04 | Mooncake | Food & Beverages | 26.10× | ||
| 05 | Fresh Off the Boat | Movies & TV | 22.47× | ||
| 06 | Taobao | Shopping | 22.05× | ||
| 07 | M. Night Shyamalan | Movies & TV | 21.95× | ||
| 08 | Priyanka Chopra | Movies & TV | 21.38× | ||
| 09 | Beijing | Travel & Leisure | 21.15× | ||
| 10 | Kumail Nanjiani | Movies & TV | 20.38× | ||
| 11 | Padma Lakshmi | Fashion & Accessoires | 20.19× | ||
| 12 | Baidu | Internet & Social Media | 20.00× | ||
| 13 | Viola Davis | Movies & TV | 19.88× | ||
| 14 | Bruce Lee | Movies & TV | 19.20× | ||
| 15 | IU (singer) | Music & Radio | 19.08× | ||
| 16 | Jackie Chan | Movies & TV | 17.46× | ||
| 17 | Taiwan | Travel & Leisure | 15.46× | ||
| 18 | Malaysia | Travel & Leisure | 14.01× | ||
| 19 | Hong Kong | Travel & Leisure | 8.82× | ||
| 20 | Recipes | Food & Beverages | 2.68× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 2.17× | |
| Tradition | CONSERVATISM | 2.10× | |
| Mindfulness | BALANCE | 1.87× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Individualism | JOY | 0.78× | |
| Spirituality | BALANCE | 1.00× | |
| Social Media Usage | JOY | 1.01× |
David Chang has an estimated audience of 484,601 people in United States, concentrated in California and New York.
75.9% of David Chang fans are female, 24.1% are male, with an average age of 40.7 years.
David Chang fans show strongest brand affinity for Beijing (21.15×), Michelle Yeoh (29.97×), and Taiwan (15.46×) over the country average.
David Chang fans in United States are most concentrated in California (reach ~100K), New York (reach ~40K), and Texas (reach ~30K). These three regions account for the largest share of the active audience.
Beyond David Chang itself, the audience over-indexes on Michelle Yeoh (29.97×), Taiwan (15.46×), Priyanka Chopra (21.38×), and Jackie Chan (17.46×) 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 David Chang. 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.