A data profile of the people who buy, follow and care about Nathan Fillion in United States — modelled from more than twelve digital signal sources. Nathan Fillion has an estimated audience of 4,751,839 people in United States.
The average Nathan Fillion fan in United States is 35.8 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Ming-Na Wen, Matthew Gray Gubler, Mariska Hargitay, with strongest over-indexing on Ming-Na Wen (535.66× the country average).
Demographically, the Nathan Fillion audience skews more female with an average age of 35.8, and over-indexes on personality traits such as Mindfulness, Healthy Lifestyle.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Nathan Fillion fan in United States is more female, around 35.8 years old, with strong Mindfulness tendencies and a notable affinity for Ming-Na Wen.
The key figures that characterise the Nathan Fillion profile in United States.
61.3% are female, 38.7% are male, average age 35.8.
| Metric | Value |
|---|---|
| Female | 61.3% |
| Male | 38.7% |
| Average age | 35.8 |
| Estimated audience size | 4,751,839 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 32% | |
| 20-29 | 14% | |
| 30-39 | 20% | |
| 40-49 | 21% | |
| 50+ | 13% |
of the worldwide Nathan Fillion audience comes from United States.
| Country | Share |
|---|---|
| United States | 31.8% |
| Germany | 8.7% |
| United Kingdom | 6.8% |
Where the Nathan Fillion audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Idaho | ~30K | 1.38× | |
| 02 | Utah | ~60K | 1.32× | |
| 03 | Oklahoma | ~70K | 1.22× | |
| 04 | Oregon | ~70K | 1.21× | |
| 05 | Washington | ~100K | 1.19× | |
| 06 | Arkansas | ~50K | 1.16× | |
| 07 | Kentucky | ~70K | 1.14× | |
| 08 | Kansas | ~40K | 1.12× | |
| 09 | Iowa | ~50K | 1.11× | |
| 10 | Montana | ~20K | 1.11× | |
| 11 | Alaska | ~10K | 1.11× | |
| 12 | Wyoming | ~8K | 1.11× | |
| 13 | Missouri | ~90K | 1.10× | |
| 14 | West Virginia | ~30K | 1.10× | |
| 15 | Ohio | ~200K | 1.07× | |
| 16 | Arizona | ~100K | 1.07× | |
| 17 | Nebraska | ~30K | 1.07× | |
| 18 | Tennessee | ~100K | 1.06× | |
| 19 | Indiana | ~100K | 1.06× | |
| 20 | New Mexico | ~30K | 1.06× | |
| 21 | North Dakota | ~10K | 1.05× | |
| 22 | New Hampshire | ~20K | 1.04× | |
| 23 | Colorado | ~80K | 1.03× | |
| 24 | Maine | ~20K | 1.03× | |
| 25 | Wisconsin | ~80K | 1.02× | |
| 26 | South Dakota | ~10K | 1.02× | |
| 27 | Michigan | ~100K | 1.01× | |
| 28 | California | ~500K | 1.00× | |
| 29 | Minnesota | ~70K | 0.99× | |
| 30 | Nevada | ~50K | 0.98× | |
| 31 | Texas | ~400K | 0.97× | |
| 32 | North Carolina | ~100K | 0.94× | |
| 33 | Alabama | ~60K | 0.93× | |
| 34 | Pennsylvania | ~200K | 0.92× | |
| 35 | Illinois | ~200K | 0.92× | |
| 36 | South Carolina | ~70K | 0.91× | |
| 37 | Virginia | ~100K | 0.90× | |
| 38 | Mississippi | ~40K | 0.88× | |
| 39 | Hawaii | ~20K | 0.87× | |
| 40 | Florida | ~300K | 0.86× | |
| 41 | Georgia | ~100K | 0.86× | |
| 42 | Connecticut | ~40K | 0.85× | |
| 43 | Rhode Island | ~10K | 0.85× | |
| 44 | Massachusetts | ~80K | 0.84× | |
| 45 | New Jersey | ~100K | 0.83× | |
| 46 | Louisiana | ~50K | 0.83× | |
| 47 | Maryland | ~70K | 0.82× | |
| 48 | Delaware | ~10K | 0.82× | |
| 49 | New York | ~200K | 0.77× | |
| 50 | Washington, District of Columbia | ~9K | 0.59× |
The strongest cross-interests of the Nathan Fillion audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Matthew Gray Gubler | Fashion & Accessoires | 549.23× | ||
| 02 | Ming-Na Wen | Movies & TV | 535.66× | ||
| 03 | Bradley Whitford | Movies & TV | 444.90× | ||
| 04 | Freshdesk | Technology & Electronics | 223.62× | ||
| 05 | Jennifer Winget | Movies & TV | 198.11× | ||
| 06 | Josh Peck | Movies & TV | 176.27× | ||
| 07 | Mariska Hargitay | Movies & TV | 91.50× | ||
| 08 | Kat Dennings | Movies & TV | 86.73× | ||
| 09 | Sophia Bush | Movies & TV | 54.89× | ||
| 10 | Ron Perlman | Movies & TV | 53.26× | ||
| 11 | Pete Carroll | Sports | 51.77× | ||
| 12 | Gwendoline Christie | Movies & TV | 48.90× | ||
| 13 | Seth Green | Movies & TV | 48.45× | ||
| 14 | Aaron Paul | Movies & TV | 37.25× | ||
| 15 | Alyssa Milano | Movies & TV | 33.21× | ||
| 16 | Ian Somerhalder | Movies & TV | 32.19× | ||
| 17 | Alison Brie | Movies & TV | 28.43× | ||
| 18 | Elizabeth Banks | Movies & TV | 26.57× | ||
| 19 | Sharon Osbourne | Movies & TV | 25.91× | ||
| 20 | Brittany Snow | Movies & TV | 20.00× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Mindfulness | BALANCE | 1.97× | |
| Healthy Lifestyle | BALANCE | 1.54× | |
| Design Affinity | PREMIUM | 1.52× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Tradition | CONSERVATISM | 0.52× | |
| Convenience Orientation | PREMIUM | 0.65× | |
| Creativity | OPEN | 0.68× |
Nathan Fillion has an estimated audience of 4,751,839 people in United States, concentrated in California and Texas.
61.3% of Nathan Fillion fans are female, 38.7% are male, with an average age of 35.8 years.
Nathan Fillion fans show strongest brand affinity for Ming-Na Wen (535.66×), Matthew Gray Gubler (549.23×), and Mariska Hargitay (91.5×) over the country average.
Nathan Fillion fans in United States are most concentrated in California (reach ~500K), Texas (reach ~400K), and Florida (reach ~300K). These three regions account for the largest share of the active audience.
Beyond Nathan Fillion itself, the audience over-indexes on Matthew Gray Gubler (549.23×), Mariska Hargitay (91.5×), Kat Dennings (86.73×), and Josh Peck (176.27×) 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 Fillion. 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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