A data profile of the people who buy, follow and care about Kang Tae-oh in United States — modelled from more than twelve digital signal sources. Kang Tae-oh has an estimated audience of 325,493 people in United States.
The average Kang Tae-oh fan in United States is 34.4 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Wacom, 7-Eleven, FIFA World Cup, with strongest over-indexing on Wacom (66.28× the country average).
Demographically, the Kang Tae-oh audience skews balanced with an average age of 34.4, and over-indexes on personality traits such as Pet Ownership, Community Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 44 regions tracked by Rascasse.
The typical Kang Tae-oh fan in United States is balanced, around 34.4 years old, with strong Pet Ownership tendencies and a notable affinity for Wacom.
The key figures that characterise the Kang Tae-oh profile in United States.
48.3% are female, 51.7% are male, average age 34.4.
| Metric | Value |
|---|---|
| Female | 48.3% |
| Male | 51.7% |
| Average age | 34.4 |
| Estimated audience size | 325,493 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 39% | |
| 20-29 | 18% | |
| 30-39 | 14% | |
| 40-49 | 10% | |
| 50+ | 20% |
of the worldwide Kang Tae-oh audience comes from United States.
| Country | Share |
|---|---|
| Brazil | 21.0% |
| United States | 16.7% |
| Indonesia | 15.4% |
Where the Kang Tae-oh audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | California | ~90K | 1.98× | |
| 02 | Texas | ~60K | 1.72× | |
| 03 | Florida | ~40K | 1.42× | |
| 04 | Nevada | ~5K | 1.37× | |
| 05 | New Jersey | ~10K | 1.29× | |
| 06 | Maryland | ~9K | 1.28× | |
| 07 | Oregon | ~6K | 1.27× | |
| 08 | Virginia | ~10K | 1.26× | |
| 09 | New Mexico | ~2K | 1.24× | |
| 10 | Georgia | ~10K | 1.15× | |
| 11 | New York | ~20K | 1.14× | |
| 12 | Illinois | ~10K | 1.11× | |
| 13 | Massachusetts | ~8K | 1.08× | |
| 14 | North Carolina | ~10K | 1.07× | |
| 15 | Minnesota | ~6K | 1.07× | |
| 16 | Connecticut | ~4K | 1.07× | |
| 17 | Alaska | <1K | 1.04× | |
| 18 | Idaho | ~2K | 1.01× | |
| 19 | Oklahoma | ~4K | 1.00× | |
| 20 | Kansas | ~3K | 0.98× | |
| 21 | Rhode Island | ~1K | 0.98× | |
| 22 | Delaware | ~1K | 0.97× | |
| 23 | Arkansas | ~3K | 0.96× | |
| 24 | Vermont | <1K | 0.94× | |
| 25 | Wyoming | <1K | 0.92× | |
| 26 | Tennessee | ~7K | 0.90× | |
| 27 | Indiana | ~6K | 0.90× | |
| 28 | Louisiana | ~5K | 0.90× | |
| 29 | Maine | ~1K | 0.90× | |
| 30 | North Dakota | <1K | 0.90× | |
| 31 | Missouri | ~6K | 0.89× | |
| 32 | South Carolina | ~5K | 0.89× | |
| 33 | South Dakota | <1K | 0.89× | |
| 34 | Michigan | ~9K | 0.88× | |
| 35 | Wisconsin | ~5K | 0.88× | |
| 36 | Montana | <1K | 0.88× | |
| 37 | Pennsylvania | ~10K | 0.87× | |
| 38 | Mississippi | ~3K | 0.87× | |
| 39 | Nebraska | ~2K | 0.87× | |
| 40 | New Hampshire | ~1K | 0.86× | |
| 41 | Kentucky | ~4K | 0.85× | |
| 42 | West Virginia | ~2K | 0.85× | |
| 43 | Iowa | ~3K | 0.84× | |
| 44 | Ohio | ~10K | 0.80× |
The strongest cross-interests of the Kang Tae-oh audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Wacom | Technology & Electronics | 66.28× | ||
| 02 | Luka Dončić | Sports | 10.01× | ||
| 03 | Kawhi Leonard | Sports | 10.01× | ||
| 04 | Group buying | Shopping | 10.01× | ||
| 05 | Larry Bird | Sports | 10.01× | ||
| 06 | Business software | Business & Career | 10.01× | ||
| 07 | Magic Johnson | Sports | 10.01× | ||
| 08 | International education | Business & Career | 10.01× | ||
| 09 | Dennis Rodman | Sports | 10.01× | ||
| 10 | Disneyland Paris | Travel & Leisure | 8.01× | ||
| 11 | Sharon Osbourne | Movies & TV | 7.73× | ||
| 12 | Paris Saint-Germain | Sports | 7.28× | ||
| 13 | Taiwan | Travel & Leisure | 7.10× | ||
| 14 | Malaysia | Travel & Leisure | 6.59× | ||
| 15 | Giannis Antetokounmpo | Sports | 5.90× | ||
| 16 | 7-Eleven | Shopping | 5.71× | ||
| 17 | Anime and manga fandom | Literature | 3.71× | ||
| 18 | FIFA World Cup | Sports | 3.52× | ||
| 19 | Planet Fitness | Sports | 2.31× | ||
| 20 | Superman | Movies & TV | 2.03× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 1.74× | |
| Community Orientation | OPEN | 1.63× | |
| Urban Lifestyle | OPEN | 1.52× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.83× | |
| Patriotism | CONSERVATISM | 0.85× | |
| Creativity | OPEN | 0.93× |
Kang Tae-oh has an estimated audience of 325,493 people in United States, concentrated in California and Texas.
48.3% of Kang Tae-oh fans are female, 51.7% are male, with an average age of 34.4 years.
Kang Tae-oh fans show strongest brand affinity for Wacom (66.28×), 7-Eleven (5.71×), and FIFA World Cup (3.52×) over the country average.
Kang Tae-oh fans in United States are most concentrated in California (reach ~90K), Texas (reach ~60K), and Florida (reach ~40K). These three regions account for the largest share of the active audience.
Beyond Kang Tae-oh itself, the audience over-indexes on 7-Eleven (5.71×), FIFA World Cup (3.52×), Luka Dončić (10.01×), and Giannis Antetokounmpo (5.9×) 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 Kang Tae-oh. 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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