A data profile of the people who buy, follow and care about Eddie Huang in United States — modelled from more than twelve digital signal sources. Eddie Huang has an estimated audience of 412,356 people in United States.
The average Eddie Huang fan in United States is 47.3 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Steven Yeun, Daniel Dae Kim, Ross-Simons Jewelry, with strongest over-indexing on Steven Yeun (80.69× the country average).
Demographically, the Eddie Huang audience skews more female with an average age of 47.3, and over-indexes on personality traits such as Patriotism, Indulgence.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Eddie Huang fan in United States is more female, around 47.3 years old, with strong Patriotism tendencies and a notable affinity for Steven Yeun.
The key figures that characterise the Eddie Huang profile in United States.
63.4% are female, 36.6% are male, average age 47.3.
| Metric | Value |
|---|---|
| Female | 63.4% |
| Male | 36.6% |
| Average age | 47.3 |
| Estimated audience size | 412,356 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 8% | |
| 20-29 | 13% | |
| 30-39 | 14% | |
| 40-49 | 18% | |
| 50+ | 47% |
of the worldwide Eddie Huang audience comes from United States.
| Country | Share |
|---|---|
| United States | 58.8% |
| Canada | 8.3% |
| United Kingdom | 5.1% |
Where the Eddie Huang audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | California | ~100K | 2.16× | |
| 02 | Hawaii | ~4K | 2.08× | |
| 03 | New York | ~50K | 1.97× | |
| 04 | Washington | ~10K | 1.57× | |
| 05 | New Jersey | ~20K | 1.46× | |
| 06 | Nevada | ~6K | 1.38× | |
| 07 | Maryland | ~9K | 1.33× | |
| 08 | Oregon | ~6K | 1.31× | |
| 09 | Texas | ~50K | 1.30× | |
| 10 | Washington, District of Columbia | ~2K | 1.29× | |
| 11 | Massachusetts | ~10K | 1.28× | |
| 12 | Virginia | ~10K | 1.22× | |
| 13 | Connecticut | ~5K | 1.17× | |
| 14 | Illinois | ~20K | 1.13× | |
| 15 | New Mexico | ~2K | 1.12× | |
| 16 | Colorado | ~7K | 1.07× | |
| 17 | Georgia | ~10K | 1.05× | |
| 18 | Arizona | ~9K | 1.03× | |
| 19 | Rhode Island | ~1K | 0.99× | |
| 20 | Minnesota | ~6K | 0.98× | |
| 21 | Utah | ~4K | 0.97× | |
| 22 | North Carolina | ~10K | 0.96× | |
| 23 | Alaska | <1K | 0.95× | |
| 24 | Pennsylvania | ~10K | 0.93× | |
| 25 | Florida | ~30K | 0.91× | |
| 26 | Oklahoma | ~4K | 0.91× | |
| 27 | Delaware | ~1K | 0.91× | |
| 28 | Idaho | ~2K | 0.90× | |
| 29 | Kansas | ~3K | 0.88× | |
| 30 | Vermont | <1K | 0.88× | |
| 31 | Indiana | ~7K | 0.86× | |
| 32 | New Hampshire | ~1K | 0.86× | |
| 33 | Michigan | ~9K | 0.85× | |
| 34 | Arkansas | ~3K | 0.85× | |
| 35 | Maine | ~1K | 0.82× | |
| 36 | South Dakota | <1K | 0.82× | |
| 37 | North Dakota | <1K | 0.82× | |
| 38 | Missouri | ~5K | 0.81× | |
| 39 | Montana | <1K | 0.81× | |
| 40 | Wisconsin | ~5K | 0.80× | |
| 41 | Louisiana | ~4K | 0.80× | |
| 42 | South Carolina | ~5K | 0.79× | |
| 43 | Nebraska | ~2K | 0.79× | |
| 44 | Tennessee | ~6K | 0.78× | |
| 45 | Kentucky | ~4K | 0.78× | |
| 46 | Ohio | ~10K | 0.76× | |
| 47 | Iowa | ~3K | 0.76× | |
| 48 | West Virginia | ~1K | 0.76× | |
| 49 | Mississippi | ~3K | 0.74× | |
| 50 | Alabama | ~4K | 0.65× |
The strongest cross-interests of the Eddie Huang audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Ross-Simons Jewelry | Fashion & Accessoires | 120.33× | ||
| 02 | Steven Yeun | Movies & TV | 80.69× | ||
| 03 | Daniel Dae Kim | Movies & TV | 72.01× | ||
| 04 | Meteor Garden | Movies & TV | 37.93× | ||
| 05 | Jamie Chung | Movies & TV | 36.77× | ||
| 06 | M. Night Shyamalan | Movies & TV | 36.76× | ||
| 07 | Vanessa Hudgens | Movies & TV | 34.81× | ||
| 08 | Kumail Nanjiani | Movies & TV | 34.81× | ||
| 09 | Padma Lakshmi | Fashion & Accessoires | 33.83× | ||
| 10 | Mooncake | Food & Beverages | 31.76× | ||
| 11 | Kunal Nayyar | Movies & TV | 31.04× | ||
| 12 | Sandra Oh | Movies & TV | 29.61× | ||
| 13 | Taobao | Shopping | 27.23× | ||
| 14 | Fresh Off the Boat | Movies & TV | 26.26× | ||
| 15 | Baidu | Internet & Social Media | 26.00× | ||
| 16 | Bruce Lee | Movies & TV | 23.72× | ||
| 17 | Priyanka Chopra | Movies & TV | 23.40× | ||
| 18 | Michelle Yeoh | Movies & TV | 21.54× | ||
| 19 | Taiwan | Travel & Leisure | 19.10× | ||
| 20 | Hong Kong | Travel & Leisure | 10.89× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 1.52× | |
| Indulgence | JOY | 1.45× | |
| Urban Lifestyle | OPEN | 1.38× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 0.80× | |
| Creativity | OPEN | 0.84× | |
| Tradition | CONSERVATISM | 0.88× |
Eddie Huang has an estimated audience of 412,356 people in United States, concentrated in California and Texas.
63.4% of Eddie Huang fans are female, 36.6% are male, with an average age of 47.3 years.
Eddie Huang fans show strongest brand affinity for Steven Yeun (80.69×), Daniel Dae Kim (72.01×), and Ross-Simons Jewelry (120.33×) over the country average.
Eddie Huang fans in United States are most concentrated in California (reach ~100K), Texas (reach ~50K), and New York (reach ~50K). These three regions account for the largest share of the active audience.
Beyond Eddie Huang itself, the audience over-indexes on Daniel Dae Kim (72.01×), Ross-Simons Jewelry (120.33×), Vanessa Hudgens (34.81×), and Kumail Nanjiani (34.81×) 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 Eddie Huang. 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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