A data profile of the people who buy, follow and care about Ming-Na Wen in United States — modelled from more than twelve digital signal sources. Ming-Na Wen has an estimated audience of 2,740,570 people in United States.
The average Ming-Na Wen fan in United States is 33.7 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Alan Tudyk, Matthew Gray Gubler, Christopher Bailey (fashion designer), with strongest over-indexing on Alan Tudyk (236.6× the country average).
Demographically, the Ming-Na Wen audience skews balanced with an average age of 33.7, and over-indexes on personality traits such as Family Orientation, Career Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Ming-Na Wen fan in United States is balanced, around 33.7 years old, with strong Family Orientation tendencies and a notable affinity for Alan Tudyk.
The key figures that characterise the Ming-Na Wen profile in United States.
46.0% are female, 54.0% are male, average age 33.7.
| Metric | Value |
|---|---|
| Female | 46.0% |
| Male | 54.0% |
| Average age | 33.7 |
| Estimated audience size | 2,740,570 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 40% | |
| 20-29 | 16% | |
| 30-39 | 15% | |
| 40-49 | 15% | |
| 50+ | 14% |
of the worldwide Ming-Na Wen audience comes from United States.
| Country | Share |
|---|---|
| United States | 60.9% |
| United Kingdom | 4.3% |
| Brazil | 4.1% |
Where the Ming-Na Wen audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hawaii | ~10K | 1.98× | |
| 02 | California | ~200K | 1.34× | |
| 03 | Washington | ~40K | 1.28× | |
| 04 | New Mexico | ~9K | 1.21× | |
| 05 | Nevada | ~20K | 1.17× | |
| 06 | Alaska | ~4K | 1.17× | |
| 07 | Pennsylvania | ~50K | 1.13× | |
| 08 | Idaho | ~8K | 1.13× | |
| 09 | Arizona | ~30K | 1.12× | |
| 10 | Utah | ~10K | 1.10× | |
| 11 | Virginia | ~40K | 1.07× | |
| 12 | Texas | ~100K | 1.06× | |
| 13 | Oregon | ~20K | 1.05× | |
| 14 | Oklahoma | ~20K | 1.04× | |
| 15 | Arkansas | ~10K | 1.02× | |
| 16 | Maryland | ~30K | 1.01× | |
| 17 | Missouri | ~20K | 1.00× | |
| 18 | Kansas | ~10K | 1.00× | |
| 19 | Montana | ~4K | 0.99× | |
| 20 | West Virginia | ~7K | 0.98× | |
| 21 | Indiana | ~30K | 0.97× | |
| 22 | Colorado | ~20K | 0.96× | |
| 23 | Alabama | ~20K | 0.96× | |
| 24 | Delaware | ~4K | 0.96× | |
| 25 | New York | ~80K | 0.95× | |
| 26 | Ohio | ~40K | 0.95× | |
| 27 | North Carolina | ~40K | 0.95× | |
| 28 | Kentucky | ~20K | 0.95× | |
| 29 | Nebraska | ~7K | 0.95× | |
| 30 | New Hampshire | ~5K | 0.95× | |
| 31 | Illinois | ~40K | 0.93× | |
| 32 | Michigan | ~40K | 0.93× | |
| 33 | New Jersey | ~30K | 0.93× | |
| 34 | Connecticut | ~10K | 0.93× | |
| 35 | Rhode Island | ~4K | 0.93× | |
| 36 | Tennessee | ~30K | 0.92× | |
| 37 | Massachusetts | ~30K | 0.92× | |
| 38 | Wisconsin | ~20K | 0.92× | |
| 39 | Minnesota | ~20K | 0.92× | |
| 40 | North Dakota | ~3K | 0.91× | |
| 41 | Georgia | ~40K | 0.90× | |
| 42 | Maine | ~5K | 0.90× | |
| 43 | South Dakota | ~3K | 0.89× | |
| 44 | Iowa | ~10K | 0.88× | |
| 45 | Vermont | ~2K | 0.88× | |
| 46 | Florida | ~90K | 0.87× | |
| 47 | South Carolina | ~20K | 0.84× | |
| 48 | Mississippi | ~10K | 0.83× | |
| 49 | Louisiana | ~10K | 0.80× | |
| 50 | Washington, District of Columbia | ~3K | 0.75× |
The strongest cross-interests of the Ming-Na Wen audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Christopher Bailey (fashion designer) | Fashion & Accessoires | 730.24× | ||
| 02 | Neverwinter Nights | Games | 312.46× | ||
| 03 | no added sugar | Food & Beverages | 268.31× | ||
| 04 | Alan Tudyk | Movies & TV | 236.60× | ||
| 05 | Matthew Gray Gubler | Fashion & Accessoires | 228.00× | ||
| 06 | Katee Sackhoff | Movies & TV | 133.22× | ||
| 07 | Taika Waititi | Movies & TV | 124.99× | ||
| 08 | Flight of the Conchords | Movies & TV | 89.10× | ||
| 09 | Hyun Bin | Movies & TV | 87.57× | ||
| 10 | Everwood | Movies & TV | 78.84× | ||
| 11 | Tika Sumpter | Movies & TV | 71.95× | ||
| 12 | Gwendoline Christie | Movies & TV | 69.46× | ||
| 13 | Brooke Hogan | Music & Radio | 67.60× | ||
| 14 | Werner Herzog | Movies & TV | 66.27× | ||
| 15 | Jeff Daniels | Movies & TV | 63.15× | ||
| 16 | Mariska Hargitay | Movies & TV | 52.72× | ||
| 17 | Brenda Song | Fashion & Accessoires | 41.64× | ||
| 18 | Pedro Pascal | Movies & TV | 32.83× | ||
| 19 | David Harbour | Movies & TV | 28.72× | ||
| 20 | Millie Bobby Brown | Movies & TV | 20.00× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Family Orientation | CONSERVATISM | 1.52× | |
| Career Orientation | POWER | 1.32× | |
| Urban Lifestyle | OPEN | 1.10× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Mindfulness | BALANCE | 0.71× | |
| Extroversion | THRILL | 0.75× | |
| Creativity | OPEN | 0.78× |
Ming-Na Wen has an estimated audience of 2,740,570 people in United States, concentrated in California and Texas.
46.0% of Ming-Na Wen fans are female, 54.0% are male, with an average age of 33.7 years.
Ming-Na Wen fans show strongest brand affinity for Alan Tudyk (236.6×), Matthew Gray Gubler (228×), and Christopher Bailey (fashion designer) (730.24×) over the country average.
Ming-Na Wen fans in United States are most concentrated in California (reach ~200K), Texas (reach ~100K), and Florida (reach ~90K). These three regions account for the largest share of the active audience.
Beyond Ming-Na Wen itself, the audience over-indexes on Matthew Gray Gubler (228×), Christopher Bailey (fashion designer) (730.24×), no added sugar (268.31×), and Katee Sackhoff (133.22×) 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 Ming-Na Wen. 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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