A data profile of the people who buy, follow and care about Film adaptation in United States — modelled from more than twelve digital signal sources. Film adaptation has an estimated audience of 490,705 people in United States.
The average Film adaptation fan in United States is 36.3 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Jennifer Love Hewitt, Chris Evans (actor), Winona Ryder, with strongest over-indexing on Jennifer Love Hewitt (8.22× the country average).
Demographically, the Film adaptation audience skews more male with an average age of 36.3, and over-indexes on personality traits such as Early Adopter Mentality, Patriotism.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Film adaptation fan in United States is more male, around 36.3 years old, with strong Early Adopter Mentality tendencies and a notable affinity for Jennifer Love Hewitt.
The key figures that characterise the Film adaptation profile in United States.
34.0% are female, 66.0% are male, average age 36.3.
| Metric | Value |
|---|---|
| Female | 34.0% |
| Male | 66.0% |
| Average age | 36.3 |
| Estimated audience size | 490,705 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 24% | |
| 20-29 | 22% | |
| 30-39 | 23% | |
| 40-49 | 18% | |
| 50+ | 13% |
of the worldwide Film adaptation audience comes from United States.
| Country | Share |
|---|---|
| United States | 45.1% |
| Taiwan | 12.1% |
| United Kingdom | 7.1% |
Where the Film adaptation audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Vermont | ~1K | 1.39× | |
| 02 | Alaska | ~1K | 1.33× | |
| 03 | South Dakota | ~1K | 1.29× | |
| 04 | Oregon | ~7K | 1.26× | |
| 05 | North Dakota | ~1K | 1.23× | |
| 06 | Montana | ~2K | 1.19× | |
| 07 | Rhode Island | ~2K | 1.13× | |
| 08 | Delaware | ~1K | 1.10× | |
| 09 | West Virginia | ~2K | 1.09× | |
| 10 | New Hampshire | ~2K | 1.09× | |
| 11 | Hawaii | ~2K | 1.08× | |
| 12 | Maine | ~2K | 1.08× | |
| 13 | Washington, District of Columbia | ~2K | 1.06× | |
| 14 | New Mexico | ~3K | 1.04× | |
| 15 | Idaho | ~3K | 1.04× | |
| 16 | Nebraska | ~3K | 1.03× | |
| 17 | Mississippi | ~4K | 1.01× | |
| 18 | Arkansas | ~4K | 0.98× | |
| 19 | Kansas | ~4K | 0.96× | |
| 20 | Iowa | ~4K | 0.95× | |
| 21 | Oklahoma | ~5K | 0.94× | |
| 22 | Louisiana | ~6K | 0.93× | |
| 23 | Utah | ~4K | 0.93× | |
| 24 | Kentucky | ~6K | 0.92× | |
| 25 | Connecticut | ~5K | 0.92× | |
| 26 | Nevada | ~4K | 0.91× | |
| 27 | Alabama | ~6K | 0.90× | |
| 28 | Washington | ~9K | 0.89× | |
| 29 | Colorado | ~7K | 0.89× | |
| 30 | South Carolina | ~7K | 0.89× | |
| 31 | Missouri | ~7K | 0.88× | |
| 32 | Wisconsin | ~7K | 0.88× | |
| 33 | Minnesota | ~6K | 0.88× | |
| 34 | Massachusetts | ~8K | 0.87× | |
| 35 | Indiana | ~8K | 0.87× | |
| 36 | Maryland | ~7K | 0.87× | |
| 37 | Arizona | ~9K | 0.86× | |
| 38 | Tennessee | ~9K | 0.86× | |
| 39 | Virginia | ~10K | 0.84× | |
| 40 | Michigan | ~10K | 0.83× | |
| 41 | Georgia | ~10K | 0.81× | |
| 42 | North Carolina | ~10K | 0.81× | |
| 43 | New Jersey | ~10K | 0.81× | |
| 44 | Pennsylvania | ~10K | 0.80× | |
| 45 | Ohio | ~10K | 0.80× | |
| 46 | Illinois | ~10K | 0.79× | |
| 47 | New York | ~20K | 0.76× | |
| 48 | California | ~40K | 0.75× | |
| 49 | Florida | ~20K | 0.70× | |
| 50 | Texas | ~30K | 0.67× |
The strongest cross-interests of the Film adaptation audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Jennifer Love Hewitt | Movies & TV | 8.22× | ||
| 02 | Chris Evans (actor) | Movies & TV | 8.22× | ||
| 03 | Josh Brolin | Movies & TV | 8.22× | ||
| 04 | Molly Ringwald | Movies & TV | 8.22× | ||
| 05 | James Franco | Movies & TV | 7.50× | ||
| 06 | Winona Ryder | Movies & TV | 6.20× | ||
| 07 | Downton Abbey | Movies & TV | 5.69× | ||
| 08 | Henry Cavill | Movies & TV | 5.62× | ||
| 09 | David Harbour | Movies & TV | 4.89× | ||
| 10 | Graphic novel | Literature | 4.56× | ||
| 11 | Robert Redford | Movies & TV | 4.42× | ||
| 12 | True Detective | Movies & TV | 3.38× | ||
| 13 | Broadway theatre | Travel & Leisure | 3.32× | ||
| 14 | GameStop | Games | 2.80× | ||
| 15 | Game of Thrones | Movies & TV | 2.66× | ||
| 16 | Beetlejuice | Movies & TV | 2.35× | ||
| 17 | Comics | Literature | 2.14× | ||
| 18 | Trader Joe's | Shopping | 1.88× | ||
| 19 | Internet & Social Media | 1.73× | |||
| 20 | Superman | Movies & TV | 1.56× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 1.79× | |
| Patriotism | CONSERVATISM | 1.62× | |
| Individualism | JOY | 1.53× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Luxury Orientation | PREMIUM | 0.78× | |
| Healthy Lifestyle | BALANCE | 0.84× | |
| Pet Ownership | JOY | 0.88× |
Film adaptation has an estimated audience of 490,705 people in United States, concentrated in California and Texas.
34.0% of Film adaptation fans are female, 66.0% are male, with an average age of 36.3 years.
Film adaptation fans show strongest brand affinity for Jennifer Love Hewitt (8.22×), Chris Evans (actor) (8.22×), and Winona Ryder (6.2×) over the country average.
Film adaptation fans in United States are most concentrated in California (reach ~40K), Texas (reach ~30K), and Florida (reach ~20K). These three regions account for the largest share of the active audience.
Beyond Film adaptation itself, the audience over-indexes on Chris Evans (actor) (8.22×), Winona Ryder (6.2×), Robert Redford (4.42×), and James Franco (7.5×) 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 Film adaptation. 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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