A data profile of the people who buy, follow and care about Legends of Tomorrow in United States — modelled from more than twelve digital signal sources. Legends of Tomorrow has an estimated audience of 674,059 people in United States.
The average Legends of Tomorrow fan in United States is 43.0 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Michael Shannon, Matthew Gray Gubler, Planet of the Apes, with strongest over-indexing on Michael Shannon (84.61× the country average).
Demographically, the Legends of Tomorrow audience skews more male with an average age of 43.0, and over-indexes on personality traits such as Convenience Orientation, 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 Legends of Tomorrow fan in United States is more male, around 43.0 years old, with strong Convenience Orientation tendencies and a notable affinity for Michael Shannon.
The key figures that characterise the Legends of Tomorrow profile in United States.
29.5% are female, 70.5% are male, average age 43.0.
| Metric | Value |
|---|---|
| Female | 29.5% |
| Male | 70.5% |
| Average age | 43.0 |
| Estimated audience size | 674,059 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 10% | |
| 20-29 | 18% | |
| 30-39 | 22% | |
| 40-49 | 25% | |
| 50+ | 26% |
of the worldwide Legends of Tomorrow audience comes from United States.
| Country | Share |
|---|---|
| United States | 36.9% |
| United Kingdom | 7.3% |
| Spain | 6.2% |
Where the Legends of Tomorrow audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Arkansas | ~7K | 1.32× | |
| 02 | Oregon | ~9K | 1.21× | |
| 03 | Oklahoma | ~9K | 1.21× | |
| 04 | Kentucky | ~10K | 1.20× | |
| 05 | Mississippi | ~6K | 1.16× | |
| 06 | West Virginia | ~4K | 1.15× | |
| 07 | Iowa | ~6K | 1.11× | |
| 08 | Kansas | ~6K | 1.10× | |
| 09 | Indiana | ~10K | 1.09× | |
| 10 | Tennessee | ~10K | 1.08× | |
| 11 | Missouri | ~10K | 1.08× | |
| 12 | Alabama | ~10K | 1.07× | |
| 13 | Idaho | ~4K | 1.07× | |
| 14 | Georgia | ~20K | 1.06× | |
| 15 | Louisiana | ~9K | 1.06× | |
| 16 | Ohio | ~20K | 1.04× | |
| 17 | Texas | ~60K | 1.03× | |
| 18 | Maryland | ~10K | 1.02× | |
| 19 | Maine | ~2K | 1.02× | |
| 20 | North Dakota | ~1K | 1.02× | |
| 21 | Nebraska | ~3K | 1.01× | |
| 22 | Pennsylvania | ~20K | 1.00× | |
| 23 | Michigan | ~20K | 1.00× | |
| 24 | Utah | ~6K | 1.00× | |
| 25 | North Carolina | ~20K | 0.99× | |
| 26 | South Carolina | ~10K | 0.98× | |
| 27 | New Hampshire | ~3K | 0.98× | |
| 28 | South Dakota | ~2K | 0.98× | |
| 29 | Vermont | ~1K | 0.97× | |
| 30 | Virginia | ~20K | 0.96× | |
| 31 | Connecticut | ~7K | 0.96× | |
| 32 | Montana | ~2K | 0.96× | |
| 33 | Alaska | ~1K | 0.96× | |
| 34 | Florida | ~40K | 0.95× | |
| 35 | Washington | ~10K | 0.95× | |
| 36 | Delaware | ~2K | 0.94× | |
| 37 | Minnesota | ~9K | 0.93× | |
| 38 | Rhode Island | ~2K | 0.93× | |
| 39 | New York | ~30K | 0.92× | |
| 40 | Nevada | ~6K | 0.92× | |
| 41 | Hawaii | ~3K | 0.92× | |
| 42 | Arizona | ~10K | 0.90× | |
| 43 | Massachusetts | ~10K | 0.90× | |
| 44 | Illinois | ~20K | 0.89× | |
| 45 | New Jersey | ~20K | 0.89× | |
| 46 | Wisconsin | ~9K | 0.89× | |
| 47 | New Mexico | ~3K | 0.87× | |
| 48 | California | ~60K | 0.86× | |
| 49 | Colorado | ~9K | 0.85× | |
| 50 | Washington, District of Columbia | ~2K | 0.76× |
The strongest cross-interests of the Legends of Tomorrow audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Matthew Gray Gubler | Fashion & Accessoires | 87.59× | ||
| 02 | Michael Shannon | Movies & TV | 84.61× | ||
| 03 | Planet of the Apes | Movies & TV | 82.42× | ||
| 04 | Birds of Prey (TV series) | Movies & TV | 43.15× | ||
| 05 | Andy Serkis | Movies & TV | 39.21× | ||
| 06 | Alan Tudyk | Movies & TV | 37.80× | ||
| 07 | Zoë Kravitz | Movies & TV | 35.63× | ||
| 08 | Gotham (TV series) | Movies & TV | 35.63× | ||
| 09 | Ming-Na Wen | Movies & TV | 33.56× | ||
| 10 | Kat Dennings | Movies & TV | 29.74× | ||
| 11 | Arrow | Movies & TV | 25.47× | ||
| 12 | Mariska Hargitay | Movies & TV | 24.54× | ||
| 13 | The Dark Knight Rises | Movies & TV | 21.75× | ||
| 14 | Blade Runner | Movies & TV | 20.23× | ||
| 15 | Alison Brie | Movies & TV | 20.00× | ||
| 16 | Gwendoline Christie | Movies & TV | 20.00× | ||
| 17 | Seth Green | Movies & TV | 19.97× | ||
| 18 | The Flash | Movies & TV | 18.76× | ||
| 19 | Robert Pattinson | Movies & TV | 18.25× | ||
| 20 | Henry Cavill | Movies & TV | 12.57× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 1.70× | |
| Early Adopter Mentality | POWER | 1.56× | |
| Individualism | JOY | 1.32× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 0.55× | |
| DIY Mentality | THRILL | 0.58× | |
| Creativity | OPEN | 0.61× |
Legends of Tomorrow has an estimated audience of 674,059 people in United States, concentrated in California and Texas.
29.5% of Legends of Tomorrow fans are female, 70.5% are male, with an average age of 43.0 years.
Legends of Tomorrow fans show strongest brand affinity for Michael Shannon (84.61×), Matthew Gray Gubler (87.59×), and Planet of the Apes (82.42×) over the country average.
Legends of Tomorrow fans in United States are most concentrated in California (reach ~60K), Texas (reach ~60K), and Florida (reach ~40K). These three regions account for the largest share of the active audience.
Beyond Legends of Tomorrow itself, the audience over-indexes on Matthew Gray Gubler (87.59×), Planet of the Apes (82.42×), Arrow (25.47×), and Alan Tudyk (37.8×) 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 Legends of Tomorrow. 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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