A data profile of the people who buy, follow and care about Nathan Fielder in United States — modelled from more than twelve digital signal sources. Nathan Fielder has an estimated audience of 1,102,055 people in United States.
The average Nathan Fielder fan in United States is 43.8 years old, more male, and lives primarily in California.
The audience is concentrated in California, New York, Texas.
Top brand affinities include Grain whisky, John C. Reilly, Taika Waititi, with strongest over-indexing on Grain whisky (243.27× the country average).
Demographically, the Nathan Fielder audience skews more male with an average age of 43.8, and over-indexes on personality traits such as Travelling, Need for Security.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Nathan Fielder fan in United States is more male, around 43.8 years old, with strong Travelling tendencies and a notable affinity for Grain whisky.
The key figures that characterise the Nathan Fielder profile in United States.
35.6% are female, 64.4% are male, average age 43.8.
| Metric | Value |
|---|---|
| Female | 35.6% |
| Male | 64.4% |
| Average age | 43.8 |
| Estimated audience size | 1,102,055 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 6% | |
| 20-29 | 16% | |
| 30-39 | 26% | |
| 40-49 | 27% | |
| 50+ | 25% |
of the worldwide Nathan Fielder audience comes from United States.
| Country | Share |
|---|---|
| United States | 62.9% |
| Canada | 8.6% |
| United Kingdom | 6.2% |
Where the Nathan Fielder audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Washington, District of Columbia | ~10K | 1.86× | |
| 02 | Oregon | ~40K | 1.73× | |
| 03 | New York | ~200K | 1.62× | |
| 04 | Washington | ~70K | 1.55× | |
| 05 | California | ~400K | 1.48× | |
| 06 | Massachusetts | ~60K | 1.48× | |
| 07 | Vermont | ~6K | 1.45× | |
| 08 | Utah | ~30K | 1.34× | |
| 09 | Colorado | ~50K | 1.31× | |
| 10 | Maine | ~10K | 1.28× | |
| 11 | Rhode Island | ~9K | 1.22× | |
| 12 | Illinois | ~90K | 1.21× | |
| 13 | Minnesota | ~40K | 1.17× | |
| 14 | Connecticut | ~30K | 1.14× | |
| 15 | New Hampshire | ~10K | 1.14× | |
| 16 | Arizona | ~50K | 1.08× | |
| 17 | Pennsylvania | ~80K | 1.06× | |
| 18 | Kansas | ~20K | 1.03× | |
| 19 | Alaska | ~5K | 1.01× | |
| 20 | Montana | ~6K | 1.00× | |
| 21 | New Jersey | ~60K | 0.99× | |
| 22 | Virginia | ~50K | 0.95× | |
| 23 | Missouri | ~30K | 0.95× | |
| 24 | Wisconsin | ~30K | 0.95× | |
| 25 | New Mexico | ~10K | 0.93× | |
| 26 | Michigan | ~50K | 0.92× | |
| 27 | Idaho | ~10K | 0.92× | |
| 28 | North Carolina | ~60K | 0.91× | |
| 29 | Nebraska | ~10K | 0.90× | |
| 30 | Ohio | ~60K | 0.89× | |
| 31 | Maryland | ~30K | 0.89× | |
| 32 | Nevada | ~20K | 0.87× | |
| 33 | Iowa | ~20K | 0.86× | |
| 34 | Tennessee | ~40K | 0.85× | |
| 35 | Indiana | ~30K | 0.84× | |
| 36 | Hawaii | ~8K | 0.84× | |
| 37 | Oklahoma | ~20K | 0.83× | |
| 38 | Texas | ~200K | 0.81× | |
| 39 | Georgia | ~50K | 0.79× | |
| 40 | Delaware | ~5K | 0.79× | |
| 41 | Kentucky | ~20K | 0.78× | |
| 42 | North Dakota | ~4K | 0.77× | |
| 43 | Arkansas | ~10K | 0.76× | |
| 44 | South Dakota | ~4K | 0.74× | |
| 45 | West Virginia | ~7K | 0.72× | |
| 46 | Florida | ~100K | 0.70× | |
| 47 | Louisiana | ~20K | 0.70× | |
| 48 | South Carolina | ~20K | 0.69× | |
| 49 | Alabama | ~20K | 0.65× | |
| 50 | Mississippi | ~10K | 0.55× |
The strongest cross-interests of the Nathan Fielder audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Grain whisky | Food & Beverages | 243.27× | ||
| 02 | John C. Reilly | Movies & TV | 109.76× | ||
| 03 | Taika Waititi | Movies & TV | 108.39× | ||
| 04 | Kristen Schaal | Movies & TV | 43.39× | ||
| 05 | Californication (TV series) | Movies & TV | 37.48× | ||
| 06 | Boogie Nights | Movies & TV | 36.24× | ||
| 07 | The Goldbergs (TV series) | Movies & TV | 22.54× | ||
| 08 | Brittany Snow | Movies & TV | 20.54× | ||
| 09 | Alison Brie | Movies & TV | 20.00× | ||
| 10 | Jeremy Allen White | Movies & TV | 20.00× | ||
| 11 | Emmy Rossum | Movies & TV | 20.00× | ||
| 12 | Karen Gillan | Movies & TV | 20.00× | ||
| 13 | Ming-Na Wen | Movies & TV | 20.00× | ||
| 14 | Ron Perlman | Movies & TV | 20.00× | ||
| 15 | Indiana Jones (franchise) | Movies & TV | 20.00× | ||
| 16 | Katee Sackhoff | Movies & TV | 20.00× | ||
| 17 | Jenny Slate | Movies & TV | 19.17× | ||
| 18 | Eyes Wide Shut | Movies & TV | 15.92× | ||
| 19 | Frida Kahlo | Arts & Culture | 15.82× | ||
| 20 | Isla Fisher | Movies & TV | 14.96× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Travelling | THRILL | 1.30× | |
| Need for Security | CONSERVATISM | 1.30× | |
| Convenience Orientation | PREMIUM | 1.30× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Luxury Orientation | PREMIUM | 0.76× | |
| Pet Ownership | JOY | 0.84× | |
| Creativity | OPEN | 0.86× |
Nathan Fielder has an estimated audience of 1,102,055 people in United States, concentrated in California and New York.
35.6% of Nathan Fielder fans are female, 64.4% are male, with an average age of 43.8 years.
Nathan Fielder fans show strongest brand affinity for Grain whisky (243.27×), John C. Reilly (109.76×), and Taika Waititi (108.39×) over the country average.
Nathan Fielder fans in United States are most concentrated in California (reach ~400K), New York (reach ~200K), and Texas (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Nathan Fielder itself, the audience over-indexes on John C. Reilly (109.76×), Taika Waititi (108.39×), Brittany Snow (20.54×), and Boogie Nights (36.24×) 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 Nathan Fielder. 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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