A data profile of the people who buy, follow and care about Too Hot to Handle in United States — modelled from more than twelve digital signal sources. Too Hot to Handle has an estimated audience of 968,912 people in United States.
The average Too Hot to Handle fan in United States is 35.8 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Tinder, Real property, malwarebytes, with strongest over-indexing on Tinder (10.5× the country average).
Demographically, the Too Hot to Handle audience skews balanced with an average age of 35.8, and over-indexes on personality traits such as Indulgence, Extroversion.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Too Hot to Handle fan in United States is balanced, around 35.8 years old, with strong Indulgence tendencies and a notable affinity for Tinder.
The key figures that characterise the Too Hot to Handle profile in United States.
54.8% are female, 45.2% are male, average age 35.8.
| Metric | Value |
|---|---|
| Female | 54.8% |
| Male | 45.2% |
| Average age | 35.8 |
| Estimated audience size | 968,912 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 31% | |
| 20-29 | 19% | |
| 30-39 | 17% | |
| 40-49 | 17% | |
| 50+ | 16% |
Where the Too Hot to Handle audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Massachusetts | ~20K | 1.18× | |
| 02 | New York | ~70K | 1.16× | |
| 03 | California | ~100K | 1.13× | |
| 04 | New Jersey | ~30K | 1.12× | |
| 05 | Connecticut | ~10K | 1.11× | |
| 06 | Florida | ~80K | 1.09× | |
| 07 | Washington | ~20K | 1.09× | |
| 08 | Colorado | ~20K | 1.09× | |
| 09 | Hawaii | ~5K | 1.09× | |
| 10 | Rhode Island | ~4K | 1.09× | |
| 11 | Missouri | ~20K | 1.08× | |
| 12 | Utah | ~10K | 1.08× | |
| 13 | Illinois | ~40K | 1.07× | |
| 14 | Arizona | ~20K | 1.06× | |
| 15 | Idaho | ~5K | 1.06× | |
| 16 | Washington, District of Columbia | ~3K | 1.06× | |
| 17 | Maryland | ~20K | 1.05× | |
| 18 | Virginia | ~30K | 1.03× | |
| 19 | Minnesota | ~20K | 1.03× | |
| 20 | Pennsylvania | ~40K | 1.02× | |
| 21 | Georgia | ~30K | 1.02× | |
| 22 | Oregon | ~10K | 1.02× | |
| 23 | Texas | ~90K | 1.01× | |
| 24 | North Carolina | ~30K | 0.98× | |
| 25 | Michigan | ~30K | 0.98× | |
| 26 | Indiana | ~20K | 0.98× | |
| 27 | Louisiana | ~10K | 0.98× | |
| 28 | Oklahoma | ~10K | 0.98× | |
| 29 | North Dakota | ~2K | 0.98× | |
| 30 | Ohio | ~30K | 0.97× | |
| 31 | Tennessee | ~20K | 0.97× | |
| 32 | Wisconsin | ~10K | 0.97× | |
| 33 | Iowa | ~8K | 0.97× | |
| 34 | Kansas | ~8K | 0.97× | |
| 35 | Nebraska | ~5K | 0.97× | |
| 36 | New Hampshire | ~4K | 0.97× | |
| 37 | Maine | ~4K | 0.97× | |
| 38 | Montana | ~3K | 0.96× | |
| 39 | Vermont | ~2K | 0.96× | |
| 40 | South Carolina | ~10K | 0.95× | |
| 41 | Delaware | ~3K | 0.95× | |
| 42 | South Dakota | ~2K | 0.95× | |
| 43 | Arkansas | ~8K | 0.94× | |
| 44 | Kentucky | ~10K | 0.93× | |
| 45 | Nevada | ~9K | 0.93× | |
| 46 | West Virginia | ~4K | 0.91× | |
| 47 | Alabama | ~10K | 0.90× | |
| 48 | Mississippi | ~7K | 0.89× | |
| 49 | Alaska | ~2K | 0.89× | |
| 50 | New Mexico | ~4K | 0.86× |
The strongest cross-interests of the Too Hot to Handle audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Tinder | Internet & Social Media | 10.50× | ||
| 02 | malwarebytes | Technology & Electronics | 7.24× | ||
| 03 | Fogo de Chão | Food & Beverages | 5.15× | ||
| 04 | Pep Guardiola | Sports | 4.71× | ||
| 05 | Cougar | Kids & Family | 4.35× | ||
| 06 | Bubble Shooter | Games | 3.80× | ||
| 07 | Nick Offerman | Movies & TV | 3.69× | ||
| 08 | America's Next Top Model | Movies & TV | 3.45× | ||
| 09 | Philz Coffee | Food & Beverages | 3.32× | ||
| 10 | I, Robot (film) | Movies & TV | 3.13× | ||
| 11 | Pandora | Fashion & Accessoires | 2.13× | ||
| 12 | Micro Center | Shopping | 1.80× | ||
| 13 | IGN | Movies & TV | 1.72× | ||
| 14 | Casey's General Stores | Food & Beverages | 1.66× | ||
| 15 | Real property | Home & Garden | 1.63× | ||
| 16 | Virtual reality | Technology & Electronics | 1.61× | ||
| 17 | Tony Award | Arts & Culture | 1.60× | ||
| 18 | Us Weekly | Internet & Social Media | 1.58× | ||
| 19 | Bored Panda | Internet & Social Media | 1.57× | ||
| 20 | City Bank | Business & Career | 1.52× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 1.18× | |
| Extroversion | THRILL | 1.15× | |
| Early Adopter Mentality | POWER | 1.14× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 0.93× | |
| DIY Mentality | THRILL | 0.93× | |
| Quality Awareness | PREMIUM | 0.93× |
Too Hot to Handle has an estimated audience of 968,912 people in United States, concentrated in California and Texas.
54.8% of Too Hot to Handle fans are female, 45.2% are male, with an average age of 35.8 years.
Too Hot to Handle fans show strongest brand affinity for Tinder (10.5×), Real property (1.63×), and malwarebytes (7.24×) over the country average.
Too Hot to Handle fans in United States are most concentrated in California (reach ~100K), Texas (reach ~90K), and Florida (reach ~80K). These three regions account for the largest share of the active audience.
Beyond Too Hot to Handle itself, the audience over-indexes on Real property (1.63×), malwarebytes (7.24×), Virtual reality (1.61×), and Micro Center (1.8×) 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 Too Hot to Handle. 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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