A data profile of the people who buy, follow and care about Daniel Dae Kim in United States — modelled from more than twelve digital signal sources. Daniel Dae Kim has an estimated audience of 2,258,658 people in United States.
The average Daniel Dae Kim fan in United States is 46.1 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Jamie Chung, Sandra Oh, Steven Yeun, with strongest over-indexing on Jamie Chung (69.94× the country average).
Demographically, the Daniel Dae Kim audience skews more female with an average age of 46.1, and over-indexes on personality traits such as Individualism, Community Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Daniel Dae Kim fan in United States is more female, around 46.1 years old, with strong Individualism tendencies and a notable affinity for Jamie Chung.
The key figures that characterise the Daniel Dae Kim profile in United States.
66.6% are female, 33.4% are male, average age 46.1.
| Metric | Value |
|---|---|
| Female | 66.6% |
| Male | 33.4% |
| Average age | 46.1 |
| Estimated audience size | 2,258,658 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 9% | |
| 20-29 | 13% | |
| 30-39 | 16% | |
| 40-49 | 20% | |
| 50+ | 41% |
of the worldwide Daniel Dae Kim audience comes from United States.
| Country | Share |
|---|---|
| United States | 41.4% |
| United Kingdom | 7.7% |
| Germany | 5.6% |
Where the Daniel Dae Kim audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hawaii | ~20K | 2.50× | |
| 02 | Utah | ~30K | 1.29× | |
| 03 | Washington | ~60K | 1.27× | |
| 04 | Idaho | ~10K | 1.20× | |
| 05 | Alaska | ~6K | 1.20× | |
| 06 | Oregon | ~30K | 1.19× | |
| 07 | California | ~300K | 1.18× | |
| 08 | Massachusetts | ~50K | 1.16× | |
| 09 | Arizona | ~50K | 1.14× | |
| 10 | New York | ~100K | 1.10× | |
| 11 | Nevada | ~20K | 1.08× | |
| 12 | Virginia | ~60K | 1.04× | |
| 13 | Maryland | ~40K | 1.03× | |
| 14 | Colorado | ~40K | 1.02× | |
| 15 | New Hampshire | ~9K | 1.00× | |
| 16 | Montana | ~6K | 0.99× | |
| 17 | Oklahoma | ~20K | 0.98× | |
| 18 | Missouri | ~30K | 0.97× | |
| 19 | Connecticut | ~20K | 0.97× | |
| 20 | Maine | ~8K | 0.97× | |
| 21 | North Carolina | ~60K | 0.95× | |
| 22 | New Jersey | ~50K | 0.95× | |
| 23 | Arkansas | ~20K | 0.95× | |
| 24 | New Mexico | ~10K | 0.95× | |
| 25 | Texas | ~200K | 0.94× | |
| 26 | Pennsylvania | ~70K | 0.94× | |
| 27 | Georgia | ~60K | 0.94× | |
| 28 | Tennessee | ~40K | 0.94× | |
| 29 | Minnesota | ~30K | 0.94× | |
| 30 | Rhode Island | ~7K | 0.94× | |
| 31 | Vermont | ~4K | 0.94× | |
| 32 | Alabama | ~30K | 0.93× | |
| 33 | Washington, District of Columbia | ~6K | 0.93× | |
| 34 | Illinois | ~70K | 0.92× | |
| 35 | Indiana | ~40K | 0.92× | |
| 36 | Kansas | ~20K | 0.92× | |
| 37 | Delaware | ~6K | 0.92× | |
| 38 | Kentucky | ~30K | 0.91× | |
| 39 | Michigan | ~50K | 0.90× | |
| 40 | Florida | ~100K | 0.89× | |
| 41 | South Carolina | ~30K | 0.89× | |
| 42 | Ohio | ~60K | 0.88× | |
| 43 | Wisconsin | ~30K | 0.88× | |
| 44 | West Virginia | ~9K | 0.87× | |
| 45 | Iowa | ~20K | 0.86× | |
| 46 | Nebraska | ~9K | 0.85× | |
| 47 | South Dakota | ~4K | 0.82× | |
| 48 | North Dakota | ~4K | 0.82× | |
| 49 | Mississippi | ~10K | 0.81× | |
| 50 | Louisiana | ~20K | 0.77× |
The strongest cross-interests of the Daniel Dae Kim audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Eddie Huang | Literature | 72.01× | ||
| 02 | Jamie Chung | Movies & TV | 69.94× | ||
| 03 | Sandra Oh | Movies & TV | 63.83× | ||
| 04 | John Cho | Movies & TV | 54.50× | ||
| 05 | Harry Shum, Jr. | Movies & TV | 44.75× | ||
| 06 | Boys Over Flowers (TV series) | Movies & TV | 41.31× | ||
| 07 | Kunal Nayyar | Movies & TV | 38.79× | ||
| 08 | Steven Yeun | Movies & TV | 38.54× | ||
| 09 | Cantonese cuisine | Food & Beverages | 35.72× | ||
| 10 | Zodiac (film) | Movies & TV | 32.96× | ||
| 11 | Padma Lakshmi | Fashion & Accessoires | 28.00× | ||
| 12 | M. Night Shyamalan | Movies & TV | 27.94× | ||
| 13 | Indian pop | Music & Radio | 25.40× | ||
| 14 | Gloria Estefan | Music & Radio | 20.90× | ||
| 15 | Music of Bollywood | Music & Radio | 20.60× | ||
| 16 | Vanessa Hudgens | Movies & TV | 19.40× | ||
| 17 | Priyanka Chopra | Movies & TV | 17.12× | ||
| 18 | Chinese language | Politics & Society | 13.87× | ||
| 19 | Nate Bargatze | Music & Radio | 11.73× | ||
| 20 | Taiwan | Travel & Leisure | 10.19× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Individualism | JOY | 1.90× | |
| Community Orientation | OPEN | 1.58× | |
| Price Sensitivity | PREMIUM | 1.32× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.89× | |
| DIY Mentality | THRILL | 0.95× | |
| Pet Ownership | JOY | 0.97× |
Daniel Dae Kim has an estimated audience of 2,258,658 people in United States, concentrated in California and Texas.
66.6% of Daniel Dae Kim fans are female, 33.4% are male, with an average age of 46.1 years.
Daniel Dae Kim fans show strongest brand affinity for Jamie Chung (69.94×), Sandra Oh (63.83×), and Steven Yeun (38.54×) over the country average.
Daniel Dae Kim fans in United States are most concentrated in California (reach ~300K), Texas (reach ~200K), and New York (reach ~100K). These three regions account for the largest share of the active audience.
Beyond Daniel Dae Kim itself, the audience over-indexes on Sandra Oh (63.83×), Steven Yeun (38.54×), Zodiac (film) (32.96×), and Eddie Huang (72.01×) 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 Daniel Dae Kim. 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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