A data profile of the people who buy, follow and care about Ken Jeong in United States — modelled from more than twelve digital signal sources. Ken Jeong has an estimated audience of 2,724,841 people in United States.
The average Ken Jeong fan in United States is 41.2 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Jason Segel, Sausage Party, Austin Powers (film series), with strongest over-indexing on Jason Segel (62.03× the country average).
Demographically, the Ken Jeong audience skews balanced with an average age of 41.2, and over-indexes on personality traits such as Convenience Orientation, Patriotism.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Ken Jeong fan in United States is balanced, around 41.2 years old, with strong Convenience Orientation tendencies and a notable affinity for Jason Segel.
The key figures that characterise the Ken Jeong profile in United States.
50.9% are female, 49.1% are male, average age 41.2.
| Metric | Value |
|---|---|
| Female | 50.9% |
| Male | 49.1% |
| Average age | 41.2 |
| Estimated audience size | 2,724,841 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 12% | |
| 20-29 | 19% | |
| 30-39 | 24% | |
| 40-49 | 24% | |
| 50+ | 21% |
of the worldwide Ken Jeong audience comes from United States.
| Country | Share |
|---|---|
| United States | 52.1% |
| United Kingdom | 6.4% |
| Mexico | 5.6% |
Where the Ken Jeong audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Utah | ~40K | 1.37× | |
| 02 | Hawaii | ~20K | 1.27× | |
| 03 | North Carolina | ~100K | 1.25× | |
| 04 | California | ~400K | 1.23× | |
| 05 | Idaho | ~20K | 1.21× | |
| 06 | Louisiana | ~40K | 1.15× | |
| 07 | Arizona | ~70K | 1.14× | |
| 08 | Nevada | ~30K | 1.14× | |
| 09 | New Mexico | ~20K | 1.12× | |
| 10 | Oklahoma | ~40K | 1.11× | |
| 11 | Washington | ~60K | 1.10× | |
| 12 | Texas | ~300K | 1.07× | |
| 13 | Oregon | ~40K | 1.06× | |
| 14 | Kentucky | ~40K | 1.05× | |
| 15 | Kansas | ~20K | 1.04× | |
| 16 | Indiana | ~50K | 1.03× | |
| 17 | Alaska | ~6K | 1.03× | |
| 18 | Michigan | ~80K | 1.02× | |
| 19 | Colorado | ~50K | 1.01× | |
| 20 | Nebraska | ~10K | 1.01× | |
| 21 | Missouri | ~50K | 1.00× | |
| 22 | Montana | ~8K | 1.00× | |
| 23 | Ohio | ~90K | 0.98× | |
| 24 | Connecticut | ~30K | 0.97× | |
| 25 | South Dakota | ~6K | 0.97× | |
| 26 | North Dakota | ~6K | 0.97× | |
| 27 | Tennessee | ~60K | 0.96× | |
| 28 | Wisconsin | ~40K | 0.96× | |
| 29 | Arkansas | ~20K | 0.96× | |
| 30 | Minnesota | ~40K | 0.95× | |
| 31 | Iowa | ~20K | 0.95× | |
| 32 | West Virginia | ~10K | 0.94× | |
| 33 | Pennsylvania | ~90K | 0.93× | |
| 34 | Alabama | ~40K | 0.93× | |
| 35 | Illinois | ~90K | 0.92× | |
| 36 | Virginia | ~60K | 0.92× | |
| 37 | New Hampshire | ~10K | 0.92× | |
| 38 | Maine | ~10K | 0.92× | |
| 39 | Georgia | ~80K | 0.91× | |
| 40 | New Jersey | ~70K | 0.90× | |
| 41 | Massachusetts | ~50K | 0.90× | |
| 42 | Maryland | ~40K | 0.90× | |
| 43 | South Carolina | ~40K | 0.89× | |
| 44 | Mississippi | ~20K | 0.88× | |
| 45 | Florida | ~200K | 0.87× | |
| 46 | New York | ~100K | 0.87× | |
| 47 | Rhode Island | ~8K | 0.87× | |
| 48 | Vermont | ~4K | 0.86× | |
| 49 | Delaware | ~7K | 0.85× | |
| 50 | Washington, District of Columbia | ~7K | 0.78× |
The strongest cross-interests of the Ken Jeong audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | CrunchBase | Internet & Social Media | 107.60× | ||
| 02 | Sausage Party | Movies & TV | 70.54× | ||
| 03 | Kung Fu Hustle | Movies & TV | 66.63× | ||
| 04 | Jason Segel | Movies & TV | 62.03× | ||
| 05 | Hot Fuzz | Movies & TV | 55.88× | ||
| 06 | Noah Baumbach | Movies & TV | 48.78× | ||
| 07 | Erin Andrews | Sports | 44.52× | ||
| 08 | Austin Powers (film series) | Movies & TV | 43.19× | ||
| 09 | Brenda Song | Fashion & Accessoires | 37.06× | ||
| 10 | Isla Fisher | Movies & TV | 32.63× | ||
| 11 | Lucy Liu | Movies & TV | 29.29× | ||
| 12 | Billy Crystal | Movies & TV | 29.13× | ||
| 13 | John Cusack | Movies & TV | 28.52× | ||
| 14 | Jason Sudeikis | Movies & TV | 28.47× | ||
| 15 | Norm Macdonald | Movies & TV | 25.86× | ||
| 16 | Josh Duhamel | Fashion & Accessoires | 22.37× | ||
| 17 | Fuller House (TV series) | Movies & TV | 19.85× | ||
| 18 | Tessa Thompson | Movies & TV | 18.52× | ||
| 19 | Zooey Deschanel | Movies & TV | 14.68× | ||
| 20 | Emma Stone | Movies & TV | 12.97× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 1.79× | |
| Patriotism | CONSERVATISM | 1.74× | |
| Urban Lifestyle | OPEN | 1.35× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 0.56× | |
| DIY Mentality | THRILL | 0.65× | |
| Luxury Orientation | PREMIUM | 0.68× |
Ken Jeong has an estimated audience of 2,724,841 people in United States, concentrated in California and Texas.
50.9% of Ken Jeong fans are female, 49.1% are male, with an average age of 41.2 years.
Ken Jeong fans show strongest brand affinity for Jason Segel (62.03×), Sausage Party (70.54×), and Austin Powers (film series) (43.19×) over the country average.
Ken Jeong fans in United States are most concentrated in California (reach ~400K), Texas (reach ~300K), and Florida (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Ken Jeong itself, the audience over-indexes on Sausage Party (70.54×), Austin Powers (film series) (43.19×), Brenda Song (37.06×), and Isla Fisher (32.63×) 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 Ken Jeong. 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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