A data profile of the people who buy, follow and care about Jason Segel in United States — modelled from more than twelve digital signal sources. Jason Segel has an estimated audience of 2,743,183 people in United States.
The average Jason Segel fan in United States is 34.9 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Leslie Mann, Alison Brie, Jay Baruchel, with strongest over-indexing on Leslie Mann (323.26× the country average).
Demographically, the Jason Segel audience skews more female with an average age of 34.9, and over-indexes on personality traits such as Design Affinity, Spirituality.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Jason Segel fan in United States is more female, around 34.9 years old, with strong Design Affinity tendencies and a notable affinity for Leslie Mann.
The key figures that characterise the Jason Segel profile in United States.
66.2% are female, 33.8% are male, average age 34.9.
| Metric | Value |
|---|---|
| Female | 66.2% |
| Male | 33.8% |
| Average age | 34.9 |
| Estimated audience size | 2,743,183 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 33% | |
| 20-29 | 18% | |
| 30-39 | 17% | |
| 40-49 | 19% | |
| 50+ | 12% |
of the worldwide Jason Segel audience comes from United States.
| Country | Share |
|---|---|
| United States | 46.3% |
| Brazil | 6.7% |
| United Kingdom | 5.8% |
Where the Jason Segel audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Oregon | ~40K | 1.34× | |
| 02 | Colorado | ~50K | 1.32× | |
| 03 | Massachusetts | ~60K | 1.29× | |
| 04 | California | ~300K | 1.25× | |
| 05 | Utah | ~30K | 1.24× | |
| 06 | Washington | ~60K | 1.23× | |
| 07 | Vermont | ~5K | 1.22× | |
| 08 | New Hampshire | ~10K | 1.21× | |
| 09 | Minnesota | ~40K | 1.18× | |
| 10 | Idaho | ~20K | 1.18× | |
| 11 | Connecticut | ~30K | 1.16× | |
| 12 | Maine | ~10K | 1.16× | |
| 13 | Montana | ~8K | 1.15× | |
| 14 | Rhode Island | ~9K | 1.13× | |
| 15 | Illinois | ~90K | 1.08× | |
| 16 | New York | ~200K | 1.07× | |
| 17 | Missouri | ~40K | 1.05× | |
| 18 | Wisconsin | ~40K | 1.05× | |
| 19 | Pennsylvania | ~90K | 1.04× | |
| 20 | Michigan | ~70K | 1.04× | |
| 21 | New Jersey | ~70K | 1.04× | |
| 22 | Arizona | ~50K | 1.02× | |
| 23 | Kansas | ~20K | 1.01× | |
| 24 | Ohio | ~80K | 1.00× | |
| 25 | Indiana | ~50K | 0.99× | |
| 26 | Washington, District of Columbia | ~8K | 0.99× | |
| 27 | Iowa | ~20K | 0.98× | |
| 28 | Hawaii | ~10K | 0.97× | |
| 29 | Nebraska | ~10K | 0.96× | |
| 30 | North Dakota | ~5K | 0.94× | |
| 31 | Oklahoma | ~30K | 0.93× | |
| 32 | Nevada | ~20K | 0.93× | |
| 33 | Alaska | ~5K | 0.93× | |
| 34 | Tennessee | ~50K | 0.92× | |
| 35 | Virginia | ~60K | 0.91× | |
| 36 | New Mexico | ~10K | 0.91× | |
| 37 | South Dakota | ~5K | 0.90× | |
| 38 | Delaware | ~6K | 0.89× | |
| 39 | North Carolina | ~70K | 0.88× | |
| 40 | Maryland | ~40K | 0.88× | |
| 41 | Kentucky | ~30K | 0.87× | |
| 42 | Texas | ~200K | 0.86× | |
| 43 | Florida | ~100K | 0.86× | |
| 44 | South Carolina | ~30K | 0.82× | |
| 45 | Arkansas | ~20K | 0.81× | |
| 46 | West Virginia | ~10K | 0.81× | |
| 47 | Georgia | ~60K | 0.79× | |
| 48 | Louisiana | ~20K | 0.67× | |
| 49 | Alabama | ~20K | 0.66× | |
| 50 | Mississippi | ~10K | 0.58× |
The strongest cross-interests of the Jason Segel audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Jay Baruchel | Movies & TV | 348.82× | ||
| 02 | Chris O'Dowd | Movies & TV | 323.90× | ||
| 03 | Leslie Mann | Movies & TV | 323.26× | ||
| 04 | Bill Hader | Movies & TV | 207.47× | ||
| 05 | Luke Wilson | Movies & TV | 198.12× | ||
| 06 | Big Daddy (1999 film) | Movies & TV | 184.81× | ||
| 07 | Craig Robinson (actor) | Movies & TV | 173.15× | ||
| 08 | Sausage Party | Movies & TV | 172.49× | ||
| 09 | Alison Brie | Movies & TV | 171.09× | ||
| 10 | Jason Sudeikis | Movies & TV | 162.29× | ||
| 11 | Casey Affleck | Movies & TV | 156.12× | ||
| 12 | Isla Fisher | Movies & TV | 135.25× | ||
| 13 | Vince Vaughn | Movies & TV | 125.80× | ||
| 14 | Will Arnett | Movies & TV | 119.91× | ||
| 15 | Dumb and Dumber | Movies & TV | 116.21× | ||
| 16 | Elizabeth Banks | Movies & TV | 109.52× | ||
| 17 | Zooey Deschanel | Movies & TV | 92.74× | ||
| 18 | Jonah Hill | Movies & TV | 92.05× | ||
| 19 | Channing Tatum | Movies & TV | 86.54× | ||
| 20 | Happy Gilmore | Movies & TV | 74.89× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 2.35× | |
| Spirituality | BALANCE | 1.74× | |
| Career Orientation | POWER | 1.74× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 1.05× | |
| Pet Ownership | JOY | 1.14× | |
| Sports Activity | POWER | 1.14× |
Jason Segel has an estimated audience of 2,743,183 people in United States, concentrated in California and Texas.
66.2% of Jason Segel fans are female, 33.8% are male, with an average age of 34.9 years.
Jason Segel fans show strongest brand affinity for Leslie Mann (323.26×), Alison Brie (171.09×), and Jay Baruchel (348.82×) over the country average.
Jason Segel fans in United States are most concentrated in California (reach ~300K), Texas (reach ~200K), and New York (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Jason Segel itself, the audience over-indexes on Alison Brie (171.09×), Jay Baruchel (348.82×), Bill Hader (207.47×), and Luke Wilson (198.12×) 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 Jason Segel. 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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