A data profile of the people who buy, follow and care about Min-jae Kim in United States — modelled from more than twelve digital signal sources. Min-jae Kim has an estimated audience of 358,355 people in United States.
The average Min-jae Kim fan in United States is 32.3 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Daiso, S.S.C. Napoli, SC Freiburg, with strongest over-indexing on Daiso (59.81× the country average).
Demographically, the Min-jae Kim audience skews more male with an average age of 32.3, 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 Min-jae Kim fan in United States is more male, around 32.3 years old, with strong Patriotism tendencies and a notable affinity for Daiso.
The key figures that characterise the Min-jae Kim profile in United States.
30.7% are female, 69.3% are male, average age 32.3.
| Metric | Value |
|---|---|
| Female | 30.7% |
| Male | 69.3% |
| Average age | 32.3 |
| Estimated audience size | 358,355 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 39% | |
| 20-29 | 22% | |
| 30-39 | 16% | |
| 40-49 | 14% | |
| 50+ | 9% |
Where the Min-jae Kim audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hawaii | ~4K | 3.01× | |
| 02 | California | ~70K | 2.16× | |
| 03 | New Jersey | ~10K | 1.86× | |
| 04 | Virginia | ~10K | 1.55× | |
| 05 | New York | ~20K | 1.52× | |
| 06 | Washington | ~8K | 1.51× | |
| 07 | Maryland | ~7K | 1.50× | |
| 08 | Texas | ~30K | 1.45× | |
| 09 | Georgia | ~10K | 1.30× | |
| 10 | Massachusetts | ~7K | 1.28× | |
| 11 | Nevada | ~3K | 1.25× | |
| 12 | Illinois | ~10K | 1.23× | |
| 13 | Washington, District of Columbia | ~1K | 1.23× | |
| 14 | Connecticut | ~3K | 1.18× | |
| 15 | Oregon | ~4K | 1.12× | |
| 16 | Florida | ~20K | 1.11× | |
| 17 | Arizona | ~6K | 1.07× | |
| 18 | North Carolina | ~9K | 1.05× | |
| 19 | Utah | ~3K | 1.04× | |
| 20 | Minnesota | ~4K | 1.00× | |
| 21 | Colorado | ~4K | 0.95× | |
| 22 | Rhode Island | <1K | 0.93× | |
| 23 | Delaware | <1K | 0.92× | |
| 24 | Alaska | <1K | 0.92× | |
| 25 | Vermont | <1K | 0.92× | |
| 26 | New Mexico | ~1K | 0.91× | |
| 27 | Pennsylvania | ~8K | 0.88× | |
| 28 | Oklahoma | ~3K | 0.88× | |
| 29 | North Dakota | <1K | 0.88× | |
| 30 | Kansas | ~2K | 0.87× | |
| 31 | Nebraska | ~1K | 0.87× | |
| 32 | South Dakota | <1K | 0.87× | |
| 33 | Arkansas | ~2K | 0.86× | |
| 34 | New Hampshire | <1K | 0.85× | |
| 35 | Tennessee | ~5K | 0.84× | |
| 36 | Idaho | ~1K | 0.84× | |
| 37 | Maine | <1K | 0.84× | |
| 38 | Montana | <1K | 0.84× | |
| 39 | Indiana | ~4K | 0.83× | |
| 40 | West Virginia | ~1K | 0.80× | |
| 41 | Alabama | ~3K | 0.79× | |
| 42 | Kentucky | ~3K | 0.79× | |
| 43 | Iowa | ~2K | 0.79× | |
| 44 | Missouri | ~3K | 0.78× | |
| 45 | Michigan | ~6K | 0.77× | |
| 46 | South Carolina | ~3K | 0.77× | |
| 47 | Louisiana | ~3K | 0.77× | |
| 48 | Mississippi | ~2K | 0.77× | |
| 49 | Wisconsin | ~3K | 0.75× | |
| 50 | Ohio | ~6K | 0.68× |
The strongest cross-interests of the Min-jae Kim audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Didier Drogba | Sports | 78.32× | ||
| 02 | UEFA Super Cup | Sports | 61.69× | ||
| 03 | Daiso | Fashion & Accessoires | 59.81× | ||
| 04 | SC Freiburg | Sports | 57.35× | ||
| 05 | Paolo Maldini | Sports | 57.16× | ||
| 06 | Brentford F.C. | Sports | 47.90× | ||
| 07 | Watford F.C. | Sports | 44.90× | ||
| 08 | S.S.C. Napoli | Sports | 39.10× | ||
| 09 | La Gazzetta dello Sport | Sports | 35.22× | ||
| 10 | Sadio Mané | Sports | 30.70× | ||
| 11 | Pep Guardiola | Sports | 29.80× | ||
| 12 | RB Leipzig | Sports | 27.79× | ||
| 13 | Ronaldinho | Sports | 23.44× | ||
| 14 | Thierry Henry | Sports | 22.32× | ||
| 15 | Borussia Dortmund | Sports | 21.25× | ||
| 16 | Copa Libertadores | Sports | 18.02× | ||
| 17 | Eva Green | Movies & TV | 15.62× | ||
| 18 | Alison Brie | Movies & TV | 10.39× | ||
| 19 | UEFA Europa League | Sports | 8.34× | ||
| 20 | Obsessed (2009 film) | Movies & TV | 6.92× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 2.28× | |
| Indulgence | JOY | 1.65× | |
| Risk Appetite | THRILL | 1.31× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.81× | |
| Creativity | OPEN | 0.83× | |
| Tradition | CONSERVATISM | 0.88× |
Min-jae Kim has an estimated audience of 358,355 people in United States, concentrated in California and Texas.
30.7% of Min-jae Kim fans are female, 69.3% are male, with an average age of 32.3 years.
Min-jae Kim fans show strongest brand affinity for Daiso (59.81×), S.S.C. Napoli (39.1×), and SC Freiburg (57.35×) over the country average.
Min-jae Kim fans in United States are most concentrated in California (reach ~70K), Texas (reach ~30K), and New York (reach ~20K). These three regions account for the largest share of the active audience.
Beyond Min-jae Kim itself, the audience over-indexes on S.S.C. Napoli (39.1×), SC Freiburg (57.35×), Didier Drogba (78.32×), and La Gazzetta dello Sport (35.22×) 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 Min-jae 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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.