A data profile of the people who buy, follow and care about High Noon in United States — modelled from more than twelve digital signal sources. High Noon has an estimated audience of 2,731,357 people in United States.
The average High Noon fan in United States is 35.8 years old, more male, and lives primarily in Texas.
The audience is concentrated in Texas, California, Florida.
Top brand affinities include Sam Elliott, Michelob ULTRA, White wine, with strongest over-indexing on Sam Elliott (15.13× the country average).
Demographically, the High Noon audience skews more male with an average age of 35.8, and over-indexes on personality traits such as Patriotism, Indulgence.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical High Noon fan in United States is more male, around 35.8 years old, with strong Patriotism tendencies and a notable affinity for Sam Elliott.
The key figures that characterise the High Noon profile in United States.
41.9% are female, 58.1% are male, average age 35.8.
| Metric | Value |
|---|---|
| Female | 41.9% |
| Male | 58.1% |
| Average age | 35.8 |
| Estimated audience size | 2,731,357 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 26% | |
| 20-29 | 25% | |
| 30-39 | 18% | |
| 40-49 | 18% | |
| 50+ | 14% |
of the worldwide High Noon audience comes from United States.
| Country | Share |
|---|---|
| United States | 31.1% |
| Egypt | 26.8% |
| China | 10.4% |
Where the High Noon audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | New Mexico | ~20K | 1.86× | |
| 02 | Texas | ~200K | 1.39× | |
| 03 | Massachusetts | ~50K | 1.39× | |
| 04 | Alabama | ~30K | 1.28× | |
| 05 | South Carolina | ~30K | 1.26× | |
| 06 | Connecticut | ~20K | 1.22× | |
| 07 | Rhode Island | ~6K | 1.21× | |
| 08 | Tennessee | ~40K | 1.15× | |
| 09 | Illinois | ~60K | 1.14× | |
| 10 | Oklahoma | ~20K | 1.14× | |
| 11 | New Hampshire | ~8K | 1.14× | |
| 12 | Mississippi | ~20K | 1.12× | |
| 13 | New York | ~100K | 1.10× | |
| 14 | North Carolina | ~60K | 1.10× | |
| 15 | Kentucky | ~20K | 1.10× | |
| 16 | Montana | ~5K | 1.09× | |
| 17 | Vermont | ~3K | 1.08× | |
| 18 | North Dakota | ~4K | 1.06× | |
| 19 | Louisiana | ~20K | 1.05× | |
| 20 | Arkansas | ~10K | 1.05× | |
| 21 | Pennsylvania | ~60K | 1.04× | |
| 22 | Georgia | ~50K | 1.04× | |
| 23 | New Jersey | ~40K | 1.00× | |
| 24 | Indiana | ~30K | 0.98× | |
| 25 | Kansas | ~10K | 0.98× | |
| 26 | Ohio | ~50K | 0.97× | |
| 27 | Nebraska | ~8K | 0.97× | |
| 28 | Maine | ~6K | 0.97× | |
| 29 | Iowa | ~10K | 0.95× | |
| 30 | West Virginia | ~7K | 0.95× | |
| 31 | Wisconsin | ~20K | 0.94× | |
| 32 | Minnesota | ~20K | 0.94× | |
| 33 | Washington, District of Columbia | ~5K | 0.93× | |
| 34 | Florida | ~100K | 0.91× | |
| 35 | California | ~200K | 0.90× | |
| 36 | Arizona | ~30K | 0.88× | |
| 37 | South Dakota | ~3K | 0.88× | |
| 38 | Michigan | ~40K | 0.87× | |
| 39 | Oregon | ~20K | 0.87× | |
| 40 | Maryland | ~20K | 0.85× | |
| 41 | Colorado | ~20K | 0.85× | |
| 42 | Hawaii | ~6K | 0.85× | |
| 43 | Delaware | ~4K | 0.85× | |
| 44 | Idaho | ~7K | 0.83× | |
| 45 | Virginia | ~30K | 0.82× | |
| 46 | Missouri | ~20K | 0.81× | |
| 47 | Alaska | ~3K | 0.74× | |
| 48 | Nevada | ~10K | 0.73× | |
| 49 | Washington | ~20K | 0.66× | |
| 50 | Utah | ~9K | 0.62× |
The strongest cross-interests of the High Noon audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Michelob ULTRA | Food & Beverages | 30.94× | ||
| 02 | James Stewart | Movies & TV | 22.80× | ||
| 03 | Crown Royal | Food & Beverages | 21.73× | ||
| 04 | White wine | Food & Beverages | 15.50× | ||
| 05 | Michelin Guide | Food & Beverages | 15.50× | ||
| 06 | Roland Garros | Sports | 15.42× | ||
| 07 | Sam Elliott | Movies & TV | 15.13× | ||
| 08 | Stella Artois | Food & Beverages | 13.21× | ||
| 09 | Red wine | Food & Beverages | 12.37× | ||
| 10 | Paul Newman | Movies & TV | 11.48× | ||
| 11 | Bargain Hunters | Shopping | 10.82× | ||
| 12 | Sunday Brunch | Kids & Family | 8.30× | ||
| 13 | Outback Steakhouse | Food & Beverages | 7.85× | ||
| 14 | Natural foods | Food & Beverages | 6.41× | ||
| 15 | Wine tasting | Food & Beverages | 5.86× | ||
| 16 | Philanthropy | Arts & Culture | 5.64× | ||
| 17 | Milwaukee Brewers | Sports | 5.36× | ||
| 18 | 7-Eleven | Shopping | 3.88× | ||
| 19 | Property finder | Home & Garden | 3.76× | ||
| 20 | Walgreens | Shopping | 2.50× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 2.84× | |
| Indulgence | JOY | 2.43× | |
| Convenience Orientation | PREMIUM | 2.43× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 0.79× | |
| Healthy Lifestyle | BALANCE | 0.82× | |
| Design Affinity | PREMIUM | 0.89× |
High Noon has an estimated audience of 2,731,357 people in United States, concentrated in Texas and California.
41.9% of High Noon fans are female, 58.1% are male, with an average age of 35.8 years.
High Noon fans show strongest brand affinity for Sam Elliott (15.13×), Michelob ULTRA (30.94×), and White wine (15.5×) over the country average.
High Noon fans in United States are most concentrated in Texas (reach ~200K), California (reach ~200K), and Florida (reach ~100K). These three regions account for the largest share of the active audience.
Beyond High Noon itself, the audience over-indexes on Michelob ULTRA (30.94×), White wine (15.5×), Red wine (12.37×), and Outback Steakhouse (7.85×) 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 High Noon. 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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