A data profile of the people who buy, follow and care about Heath Ledger in United States — modelled from more than twelve digital signal sources. Heath Ledger has an estimated audience of 7,526,141 people in United States.
The average Heath Ledger fan in United States is 39.1 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Uma Thurman, Zazie Beetz, Catch Me If You Can, with strongest over-indexing on Uma Thurman (68× the country average).
Demographically, the Heath Ledger audience skews more female with an average age of 39.1, and over-indexes on personality traits such as Spirituality, Healthy Lifestyle.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Heath Ledger fan in United States is more female, around 39.1 years old, with strong Spirituality tendencies and a notable affinity for Uma Thurman.
The key figures that characterise the Heath Ledger profile in United States.
56.4% are female, 43.6% are male, average age 39.1.
| Metric | Value |
|---|---|
| Female | 56.4% |
| Male | 43.6% |
| Average age | 39.1 |
| Estimated audience size | 7,526,141 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 19% | |
| 20-29 | 20% | |
| 30-39 | 22% | |
| 40-49 | 22% | |
| 50+ | 18% |
Where the Heath Ledger audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Utah | ~100K | 1.45× | |
| 02 | Idaho | ~50K | 1.25× | |
| 03 | Oklahoma | ~100K | 1.13× | |
| 04 | Montana | ~20K | 1.11× | |
| 05 | Arizona | ~200K | 1.10× | |
| 06 | Missouri | ~100K | 1.08× | |
| 07 | Kentucky | ~100K | 1.08× | |
| 08 | California | ~900K | 1.07× | |
| 09 | Washington | ~200K | 1.07× | |
| 10 | Kansas | ~70K | 1.07× | |
| 11 | Indiana | ~100K | 1.06× | |
| 12 | Oregon | ~90K | 1.06× | |
| 13 | Arkansas | ~70K | 1.06× | |
| 14 | Texas | ~700K | 1.04× | |
| 15 | North Carolina | ~200K | 1.03× | |
| 16 | Tennessee | ~200K | 1.03× | |
| 17 | Nebraska | ~40K | 1.03× | |
| 18 | Iowa | ~60K | 1.02× | |
| 19 | Ohio | ~200K | 1.01× | |
| 20 | Colorado | ~100K | 1.01× | |
| 21 | Alabama | ~100K | 1.01× | |
| 22 | New Mexico | ~40K | 1.01× | |
| 23 | North Dakota | ~20K | 1.01× | |
| 24 | Illinois | ~300K | 1.00× | |
| 25 | Nevada | ~70K | 0.99× | |
| 26 | West Virginia | ~40K | 0.99× | |
| 27 | Georgia | ~200K | 0.98× | |
| 28 | Michigan | ~200K | 0.98× | |
| 29 | Virginia | ~200K | 0.98× | |
| 30 | Alaska | ~20K | 0.98× | |
| 31 | Pennsylvania | ~300K | 0.97× | |
| 32 | Wisconsin | ~100K | 0.97× | |
| 33 | South Carolina | ~100K | 0.96× | |
| 34 | Minnesota | ~100K | 0.96× | |
| 35 | South Dakota | ~20K | 0.96× | |
| 36 | Florida | ~500K | 0.95× | |
| 37 | Massachusetts | ~100K | 0.95× | |
| 38 | Connecticut | ~70K | 0.95× | |
| 39 | New Jersey | ~200K | 0.94× | |
| 40 | Mississippi | ~60K | 0.94× | |
| 41 | Louisiana | ~90K | 0.93× | |
| 42 | New Hampshire | ~30K | 0.93× | |
| 43 | New York | ~400K | 0.92× | |
| 44 | Maine | ~30K | 0.91× | |
| 45 | Rhode Island | ~20K | 0.91× | |
| 46 | Maryland | ~100K | 0.88× | |
| 47 | Hawaii | ~30K | 0.88× | |
| 48 | Vermont | ~10K | 0.87× | |
| 49 | Delaware | ~20K | 0.85× | |
| 50 | Washington, District of Columbia | ~20K | 0.74× |
The strongest cross-interests of the Heath Ledger audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Zazie Beetz | Movies & TV | 112.29× | ||
| 02 | Catch Me If You Can | Movies & TV | 101.35× | ||
| 03 | Michelle Williams (actress) | Movies & TV | 69.58× | ||
| 04 | Uma Thurman | Movies & TV | 68.00× | ||
| 05 | Hustle & Flow | Movies & TV | 63.84× | ||
| 06 | Chuggington | Movies & TV | 56.46× | ||
| 07 | Maggie Gyllenhaal | Movies & TV | 54.03× | ||
| 08 | Michael Caine | Movies & TV | 41.81× | ||
| 09 | David Fincher | Movies & TV | 40.98× | ||
| 10 | Brokeback Mountain | Movies & TV | 36.39× | ||
| 11 | Christopher Nolan | Movies & TV | 25.98× | ||
| 12 | Gary Oldman | Movies & TV | 24.06× | ||
| 13 | Joaquin Phoenix | Movies & TV | 20.51× | ||
| 14 | Ryan Gosling | Movies & TV | 19.27× | ||
| 15 | Stellan Skarsgård | Movies & TV | 17.61× | ||
| 16 | Rebecca Ferguson | Movies & TV | 13.98× | ||
| 17 | Jake Gyllenhaal | Movies & TV | 13.09× | ||
| 18 | Anne Hathaway | Movies & TV | 13.00× | ||
| 19 | Obsessed (2009 film) | Movies & TV | 9.51× | ||
| 20 | Brad Pitt | Movies & TV | 8.21× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Spirituality | BALANCE | 1.57× | |
| Healthy Lifestyle | BALANCE | 1.39× | |
| Early Adopter Mentality | POWER | 1.39× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Sports Activity | POWER | 0.97× | |
| Creativity | OPEN | 0.98× | |
| Pet Ownership | JOY | 0.99× |
Heath Ledger has an estimated audience of 7,526,141 people in United States, concentrated in California and Texas.
56.4% of Heath Ledger fans are female, 43.6% are male, with an average age of 39.1 years.
Heath Ledger fans show strongest brand affinity for Uma Thurman (68×), Zazie Beetz (112.29×), and Catch Me If You Can (101.35×) over the country average.
Heath Ledger fans in United States are most concentrated in California (reach ~900K), Texas (reach ~700K), and Florida (reach ~500K). These three regions account for the largest share of the active audience.
Beyond Heath Ledger itself, the audience over-indexes on Zazie Beetz (112.29×), Catch Me If You Can (101.35×), Michelle Williams (actress) (69.58×), and Maggie Gyllenhaal (54.03×) 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 Heath Ledger. 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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