A data profile of the people who buy, follow and care about Daniel Tosh in United States — modelled from more than twelve digital signal sources. Daniel Tosh has an estimated audience of 727,855 people in United States.
The average Daniel Tosh fan in United States is 41.3 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Political satire, Seth Green, Kim Cattrall, with strongest over-indexing on Political satire (37.62× the country average).
Demographically, the Daniel Tosh audience skews more male with an average age of 41.3, and over-indexes on personality traits such as Patriotism, Early Adopter Mentality.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Daniel Tosh fan in United States is more male, around 41.3 years old, with strong Patriotism tendencies and a notable affinity for Political satire.
The key figures that characterise the Daniel Tosh profile in United States.
32.7% are female, 67.3% are male, average age 41.3.
| Metric | Value |
|---|---|
| Female | 32.7% |
| Male | 67.3% |
| Average age | 41.3 |
| Estimated audience size | 727,855 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 10% | |
| 20-29 | 19% | |
| 30-39 | 27% | |
| 40-49 | 26% | |
| 50+ | 18% |
of the worldwide Daniel Tosh audience comes from United States.
| Country | Share |
|---|---|
| United States | 83.6% |
| Canada | 6.3% |
| United Kingdom | 1.7% |
Where the Daniel Tosh audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hawaii | ~5K | 1.62× | |
| 02 | Nevada | ~10K | 1.49× | |
| 03 | Iowa | ~9K | 1.45× | |
| 04 | Oregon | ~10K | 1.35× | |
| 05 | Montana | ~3K | 1.32× | |
| 06 | Ohio | ~30K | 1.31× | |
| 07 | Indiana | ~20K | 1.28× | |
| 08 | Michigan | ~20K | 1.24× | |
| 09 | Missouri | ~10K | 1.24× | |
| 10 | Washington | ~20K | 1.18× | |
| 11 | Pennsylvania | ~30K | 1.16× | |
| 12 | New Hampshire | ~3K | 1.16× | |
| 13 | Kentucky | ~10K | 1.15× | |
| 14 | Connecticut | ~9K | 1.15× | |
| 15 | Wisconsin | ~10K | 1.14× | |
| 16 | Nebraska | ~4K | 1.13× | |
| 17 | Colorado | ~10K | 1.08× | |
| 18 | Minnesota | ~10K | 1.08× | |
| 19 | Massachusetts | ~20K | 1.05× | |
| 20 | Utah | ~7K | 1.05× | |
| 21 | Illinois | ~30K | 1.02× | |
| 22 | Washington, District of Columbia | ~2K | 1.02× | |
| 23 | Maine | ~3K | 1.00× | |
| 24 | Idaho | ~4K | 0.99× | |
| 25 | North Dakota | ~1K | 0.97× | |
| 26 | Vermont | ~1K | 0.97× | |
| 27 | Kansas | ~6K | 0.96× | |
| 28 | California | ~80K | 0.94× | |
| 29 | West Virginia | ~3K | 0.94× | |
| 30 | South Dakota | ~2K | 0.94× | |
| 31 | Alaska | ~1K | 0.94× | |
| 32 | Rhode Island | ~2K | 0.93× | |
| 33 | Arizona | ~10K | 0.92× | |
| 34 | Louisiana | ~9K | 0.92× | |
| 35 | Maryland | ~10K | 0.91× | |
| 36 | Oklahoma | ~7K | 0.88× | |
| 37 | New Jersey | ~20K | 0.86× | |
| 38 | Tennessee | ~10K | 0.86× | |
| 39 | Delaware | ~2K | 0.85× | |
| 40 | Arkansas | ~5K | 0.84× | |
| 41 | New York | ~30K | 0.82× | |
| 42 | North Carolina | ~20K | 0.82× | |
| 43 | South Carolina | ~9K | 0.82× | |
| 44 | Alabama | ~9K | 0.82× | |
| 45 | Florida | ~40K | 0.81× | |
| 46 | Virginia | ~10K | 0.79× | |
| 47 | New Mexico | ~3K | 0.77× | |
| 48 | Georgia | ~20K | 0.73× | |
| 49 | Mississippi | ~4K | 0.73× | |
| 50 | Texas | ~40K | 0.68× |
The strongest cross-interests of the Daniel Tosh audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Seth Green | Movies & TV | 42.49× | ||
| 02 | Political satire | Literature | 37.62× | ||
| 03 | Kim Cattrall | Movies & TV | 33.51× | ||
| 04 | Dana Carvey | Movies & TV | 29.68× | ||
| 05 | Kevin Smith | Movies & TV | 27.87× | ||
| 06 | Norm Macdonald | Movies & TV | 25.40× | ||
| 07 | Olivia Munn | Movies & TV | 23.24× | ||
| 08 | John Cusack | Movies & TV | 21.97× | ||
| 09 | Erin Andrews | Sports | 21.18× | ||
| 10 | Jenny Slate | Movies & TV | 21.12× | ||
| 11 | Marc Maron | Movies & TV | 20.85× | ||
| 12 | Nikki Glaser | Movies & TV | 19.20× | ||
| 13 | Alison Brie | Movies & TV | 17.52× | ||
| 14 | Chelsea Handler | Movies & TV | 17.34× | ||
| 15 | Jonah Hill | Movies & TV | 16.01× | ||
| 16 | Steve Carell | Movies & TV | 15.73× | ||
| 17 | Chevy Chase | Movies & TV | 15.36× | ||
| 18 | Kristen Wiig | Movies & TV | 15.33× | ||
| 19 | Bill Murray | Movies & TV | 13.41× | ||
| 20 | Atheism | Politics & Society | 12.85× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 1.93× | |
| Early Adopter Mentality | POWER | 1.47× | |
| Convenience Orientation | PREMIUM | 1.43× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Quality Awareness | PREMIUM | 0.49× | |
| DIY Mentality | THRILL | 0.69× | |
| Luxury Orientation | PREMIUM | 0.69× |
Daniel Tosh has an estimated audience of 727,855 people in United States, concentrated in California and Texas.
32.7% of Daniel Tosh fans are female, 67.3% are male, with an average age of 41.3 years.
Daniel Tosh fans show strongest brand affinity for Political satire (37.62×), Seth Green (42.49×), and Kim Cattrall (33.51×) over the country average.
Daniel Tosh fans in United States are most concentrated in California (reach ~80K), Texas (reach ~40K), and Florida (reach ~40K). These three regions account for the largest share of the active audience.
Beyond Daniel Tosh itself, the audience over-indexes on Seth Green (42.49×), Kim Cattrall (33.51×), Olivia Munn (23.24×), and Alison Brie (17.52×) 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 Daniel Tosh. 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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