A data profile of the people who buy, follow and care about The Big Short in United States — modelled from more than twelve digital signal sources. The Big Short has an estimated audience of 1,581,650 people in United States.
The average The Big Short fan in United States is 39.2 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Diane Keaton, Book discussion club, Erin Andrews, with strongest over-indexing on Diane Keaton (6.69× the country average).
Demographically, the The Big Short audience skews more female with an average age of 39.2, and over-indexes on personality traits such as Patriotism, Community Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical The Big Short fan in United States is more female, around 39.2 years old, with strong Patriotism tendencies and a notable affinity for Diane Keaton.
The key figures that characterise the The Big Short profile in United States.
57.5% are female, 42.5% are male, average age 39.2.
| Metric | Value |
|---|---|
| Female | 57.5% |
| Male | 42.5% |
| Average age | 39.2 |
| Estimated audience size | 1,581,650 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 19% | |
| 20-29 | 15% | |
| 30-39 | 25% | |
| 40-49 | 27% | |
| 50+ | 14% |
Where the The Big Short audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Massachusetts | ~40K | 1.36× | |
| 02 | Utah | ~20K | 1.30× | |
| 03 | Washington, District of Columbia | ~6K | 1.30× | |
| 04 | New York | ~100K | 1.19× | |
| 05 | Connecticut | ~20K | 1.19× | |
| 06 | New Hampshire | ~8K | 1.19× | |
| 07 | Colorado | ~30K | 1.18× | |
| 08 | New Jersey | ~50K | 1.17× | |
| 09 | Vermont | ~3K | 1.15× | |
| 10 | Illinois | ~60K | 1.13× | |
| 11 | Washington | ~40K | 1.13× | |
| 12 | Rhode Island | ~6K | 1.11× | |
| 13 | California | ~200K | 1.10× | |
| 14 | Montana | ~5K | 1.09× | |
| 15 | Minnesota | ~30K | 1.08× | |
| 16 | Nebraska | ~8K | 1.05× | |
| 17 | Pennsylvania | ~60K | 1.03× | |
| 18 | Virginia | ~40K | 1.03× | |
| 19 | Indiana | ~30K | 1.03× | |
| 20 | Wisconsin | ~20K | 1.03× | |
| 21 | Oregon | ~20K | 1.03× | |
| 22 | Iowa | ~10K | 1.03× | |
| 23 | Maine | ~6K | 1.03× | |
| 24 | Texas | ~100K | 1.02× | |
| 25 | Michigan | ~40K | 1.02× | |
| 26 | Idaho | ~8K | 1.02× | |
| 27 | Arizona | ~30K | 1.01× | |
| 28 | Missouri | ~30K | 1.01× | |
| 29 | Kansas | ~10K | 1.01× | |
| 30 | North Dakota | ~3K | 1.01× | |
| 31 | South Dakota | ~4K | 0.99× | |
| 32 | Ohio | ~50K | 0.97× | |
| 33 | Florida | ~100K | 0.95× | |
| 34 | North Carolina | ~50K | 0.95× | |
| 35 | Alaska | ~3K | 0.92× | |
| 36 | Georgia | ~40K | 0.90× | |
| 37 | Oklahoma | ~20K | 0.90× | |
| 38 | Maryland | ~20K | 0.89× | |
| 39 | Tennessee | ~30K | 0.88× | |
| 40 | Arkansas | ~10K | 0.87× | |
| 41 | Kentucky | ~20K | 0.86× | |
| 42 | Delaware | ~4K | 0.85× | |
| 43 | Nevada | ~10K | 0.83× | |
| 44 | South Carolina | ~20K | 0.81× | |
| 45 | Hawaii | ~6K | 0.81× | |
| 46 | Alabama | ~20K | 0.80× | |
| 47 | Louisiana | ~20K | 0.79× | |
| 48 | New Mexico | ~6K | 0.79× | |
| 49 | West Virginia | ~6K | 0.74× | |
| 50 | Mississippi | ~9K | 0.67× |
The strongest cross-interests of the The Big Short audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Erin Andrews | Sports | 19.62× | ||
| 02 | Mona Lisa Smile | Movies & TV | 19.62× | ||
| 03 | International education | Business & Career | 13.26× | ||
| 04 | Michael Sheen | Movies & TV | 12.00× | ||
| 05 | Boardwalk Empire | Movies & TV | 10.93× | ||
| 06 | Josh Duhamel | Fashion & Accessoires | 9.83× | ||
| 07 | Indiana Jones (franchise) | Movies & TV | 8.70× | ||
| 08 | Marlon Brando | Movies & TV | 8.51× | ||
| 09 | Avan Jogia | Movies & TV | 8.50× | ||
| 10 | Al Pacino | Movies & TV | 8.16× | ||
| 11 | Book discussion club | Literature | 8.08× | ||
| 12 | Diane Keaton | Movies & TV | 6.69× | ||
| 13 | Pulp Fiction | Movies & TV | 6.07× | ||
| 14 | Goodreads | Literature | 5.50× | ||
| 15 | Extraterrestrial life | Politics & Society | 5.41× | ||
| 16 | Graphic novel | Literature | 5.01× | ||
| 17 | The Sopranos | Movies & TV | 5.00× | ||
| 18 | The Washington Post | News | 4.43× | ||
| 19 | Philanthropy | Arts & Culture | 3.00× | ||
| 20 | Superman | Movies & TV | 1.75× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 2.37× | |
| Community Orientation | OPEN | 1.57× | |
| Risk Appetite | THRILL | 1.57× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Quality Awareness | PREMIUM | 0.82× | |
| Family Orientation | CONSERVATISM | 0.85× | |
| Price Sensitivity | PREMIUM | 0.85× |
The Big Short has an estimated audience of 1,581,650 people in United States, concentrated in California and Texas.
57.5% of The Big Short fans are female, 42.5% are male, with an average age of 39.2 years.
The Big Short fans show strongest brand affinity for Diane Keaton (6.69×), Book discussion club (8.08×), and Erin Andrews (19.62×) over the country average.
The Big Short fans in United States are most concentrated in California (reach ~200K), Texas (reach ~100K), and New York (reach ~100K). These three regions account for the largest share of the active audience.
Beyond The Big Short itself, the audience over-indexes on Book discussion club (8.08×), Erin Andrews (19.62×), International education (13.26×), and Al Pacino (8.16×) 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 The Big Short. 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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