A data profile of the people who buy, follow and care about To Die For in United States — modelled from more than twelve digital signal sources. To Die For has an estimated audience of 385,001 people in United States.
The average To Die For fan in United States is 38.9 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Jenna Dewan, The Devil Wears Prada (film), Alan Tudyk, with strongest over-indexing on Jenna Dewan (60.87× the country average).
Demographically, the To Die For audience skews balanced with an average age of 38.9, and over-indexes on personality traits such as Indulgence, Pet Ownership.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical To Die For fan in United States is balanced, around 38.9 years old, with strong Indulgence tendencies and a notable affinity for Jenna Dewan.
The key figures that characterise the To Die For profile in United States.
50.0% are female, 50.0% are male, average age 38.9.
| Metric | Value |
|---|---|
| Female | 50.0% |
| Male | 50.0% |
| Average age | 38.9 |
| Estimated audience size | 385,001 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 20% | |
| 20-29 | 20% | |
| 30-39 | 20% | |
| 40-49 | 22% | |
| 50+ | 18% |
of the worldwide To Die For audience comes from United States.
| Country | Share |
|---|---|
| United States | 49.3% |
| United Kingdom | 8.2% |
| Germany | 5.3% |
Where the To Die For audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Oregon | ~4K | 1.44× | |
| 02 | New York | ~20K | 1.33× | |
| 03 | California | ~40K | 1.32× | |
| 04 | New Hampshire | ~1K | 1.19× | |
| 05 | Vermont | <1K | 1.19× | |
| 06 | Washington, District of Columbia | <1K | 1.17× | |
| 07 | Minnesota | ~4K | 1.15× | |
| 08 | Maine | ~1K | 1.15× | |
| 09 | Massachusetts | ~6K | 1.14× | |
| 10 | Rhode Island | <1K | 1.13× | |
| 11 | Illinois | ~10K | 1.12× | |
| 12 | Washington | ~6K | 1.11× | |
| 13 | Connecticut | ~3K | 1.10× | |
| 14 | Wisconsin | ~4K | 1.09× | |
| 15 | New Mexico | ~1K | 1.09× | |
| 16 | Colorado | ~4K | 1.05× | |
| 17 | Kentucky | ~3K | 1.05× | |
| 18 | Idaho | ~1K | 1.04× | |
| 19 | Pennsylvania | ~9K | 1.03× | |
| 20 | Arizona | ~6K | 1.03× | |
| 21 | Missouri | ~4K | 1.03× | |
| 22 | Montana | <1K | 1.02× | |
| 23 | Michigan | ~7K | 1.00× | |
| 24 | New Jersey | ~7K | 1.00× | |
| 25 | Tennessee | ~5K | 1.00× | |
| 26 | Oklahoma | ~3K | 0.98× | |
| 27 | Utah | ~2K | 0.98× | |
| 28 | Nevada | ~2K | 0.97× | |
| 29 | Virginia | ~6K | 0.96× | |
| 30 | Louisiana | ~3K | 0.95× | |
| 31 | West Virginia | ~1K | 0.95× | |
| 32 | Indiana | ~5K | 0.94× | |
| 33 | Alaska | <1K | 0.94× | |
| 34 | Ohio | ~8K | 0.93× | |
| 35 | Iowa | ~2K | 0.93× | |
| 36 | Texas | ~20K | 0.92× | |
| 37 | Maryland | ~4K | 0.92× | |
| 38 | Kansas | ~2K | 0.92× | |
| 39 | Florida | ~20K | 0.90× | |
| 40 | Arkansas | ~2K | 0.90× | |
| 41 | North Dakota | <1K | 0.87× | |
| 42 | North Carolina | ~7K | 0.86× | |
| 43 | Nebraska | ~1K | 0.86× | |
| 44 | South Dakota | <1K | 0.86× | |
| 45 | Hawaii | <1K | 0.85× | |
| 46 | Georgia | ~7K | 0.84× | |
| 47 | South Carolina | ~3K | 0.84× | |
| 48 | Delaware | <1K | 0.84× | |
| 49 | Mississippi | ~2K | 0.78× | |
| 50 | Alabama | ~3K | 0.77× |
The strongest cross-interests of the To Die For audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Jenna Dewan | Movies & TV | 60.87× | ||
| 02 | The Devil Wears Prada (film) | Movies & TV | 29.46× | ||
| 03 | Alan Tudyk | Movies & TV | 20.00× | ||
| 04 | Melanie Lynskey | Movies & TV | 20.00× | ||
| 05 | Kaggle | Technology & Electronics | 20.00× | ||
| 06 | Night at the Museum | Movies & TV | 18.36× | ||
| 07 | Kim Basinger | Fashion & Accessoires | 13.42× | ||
| 08 | Katee Sackhoff | Movies & TV | 12.11× | ||
| 09 | Elisabeth Moss | Movies & TV | 11.91× | ||
| 10 | Jennifer Love Hewitt | Movies & TV | 10.54× | ||
| 11 | Joey King | Movies & TV | 10.33× | ||
| 12 | Christina Ricci | Movies & TV | 8.41× | ||
| 13 | Inglourious Basterds | Movies & TV | 8.22× | ||
| 14 | Max Verstappen | Sports | 7.82× | ||
| 15 | Dakota Fanning | Movies & TV | 7.81× | ||
| 16 | Charli XCX | Music & Radio | 7.00× | ||
| 17 | Raising Cane's Chicken Fingers | Food & Beverages | 5.20× | ||
| 18 | Charlize Theron | Movies & TV | 4.95× | ||
| 19 | Antique car | Cars & Mobility | 4.75× | ||
| 20 | Popeyes Louisiana Kitchen | Food & Beverages | 2.39× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 1.65× | |
| Pet Ownership | JOY | 1.50× | |
| Convenience Orientation | PREMIUM | 1.48× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Healthy Lifestyle | BALANCE | 0.92× | |
| DIY Mentality | THRILL | 0.92× | |
| Early Adopter Mentality | POWER | 0.93× |
To Die For has an estimated audience of 385,001 people in United States, concentrated in California and Texas.
50.0% of To Die For fans are female, 50.0% are male, with an average age of 38.9 years.
To Die For fans show strongest brand affinity for Jenna Dewan (60.87×), The Devil Wears Prada (film) (29.46×), and Alan Tudyk (20×) over the country average.
To Die For fans in United States are most concentrated in California (reach ~40K), Texas (reach ~20K), and New York (reach ~20K). These three regions account for the largest share of the active audience.
Beyond To Die For itself, the audience over-indexes on The Devil Wears Prada (film) (29.46×), Alan Tudyk (20×), Melanie Lynskey (20×), and Raising Cane's Chicken Fingers (5.2×) 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 To Die For. 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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.