A data profile of the people who buy, follow and care about Hot Tub Time Machine in United States — modelled from more than twelve digital signal sources. Hot Tub Time Machine has an estimated audience of 932,189 people in United States.
The average Hot Tub Time Machine fan in United States is 43.6 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include John Wick 2, Jason Segel, Borat, with strongest over-indexing on John Wick 2 (440.93× the country average).
Demographically, the Hot Tub Time Machine audience skews balanced with an average age of 43.6, and over-indexes on personality traits such as Convenience Orientation, Spirituality.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Hot Tub Time Machine fan in United States is balanced, around 43.6 years old, with strong Convenience Orientation tendencies and a notable affinity for John Wick 2.
The key figures that characterise the Hot Tub Time Machine profile in United States.
45.6% are female, 54.4% are male, average age 43.6.
| Metric | Value |
|---|---|
| Female | 45.6% |
| Male | 54.4% |
| Average age | 43.6 |
| Estimated audience size | 932,189 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 8% | |
| 20-29 | 14% | |
| 30-39 | 26% | |
| 40-49 | 30% | |
| 50+ | 23% |
of the worldwide Hot Tub Time Machine audience comes from United States.
| Country | Share |
|---|---|
| United States | 40.7% |
| Canada | 11.5% |
| United Kingdom | 8.8% |
Where the Hot Tub Time Machine audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Montana | ~3K | 1.33× | |
| 02 | Nebraska | ~6K | 1.30× | |
| 03 | Colorado | ~20K | 1.24× | |
| 04 | Alaska | ~2K | 1.21× | |
| 05 | Vermont | ~2K | 1.19× | |
| 06 | Idaho | ~6K | 1.18× | |
| 07 | North Dakota | ~2K | 1.17× | |
| 08 | Iowa | ~9K | 1.16× | |
| 09 | New Mexico | ~5K | 1.15× | |
| 10 | South Dakota | ~3K | 1.14× | |
| 11 | Arizona | ~20K | 1.13× | |
| 12 | New Hampshire | ~4K | 1.12× | |
| 13 | Michigan | ~30K | 1.11× | |
| 14 | Wisconsin | ~20K | 1.11× | |
| 15 | Oregon | ~10K | 1.11× | |
| 16 | Oklahoma | ~10K | 1.09× | |
| 17 | Ohio | ~30K | 1.07× | |
| 18 | Kansas | ~8K | 1.07× | |
| 19 | Missouri | ~20K | 1.06× | |
| 20 | Minnesota | ~10K | 1.06× | |
| 21 | West Virginia | ~5K | 1.06× | |
| 22 | Maine | ~4K | 1.04× | |
| 23 | Washington | ~20K | 1.03× | |
| 24 | Indiana | ~20K | 1.03× | |
| 25 | Nevada | ~9K | 1.02× | |
| 26 | Utah | ~9K | 1.02× | |
| 27 | Pennsylvania | ~30K | 1.01× | |
| 28 | Illinois | ~30K | 0.97× | |
| 29 | Kentucky | ~10K | 0.97× | |
| 30 | Arkansas | ~8K | 0.96× | |
| 31 | California | ~100K | 0.94× | |
| 32 | Tennessee | ~20K | 0.94× | |
| 33 | Rhode Island | ~3K | 0.94× | |
| 34 | Connecticut | ~9K | 0.92× | |
| 35 | Massachusetts | ~20K | 0.91× | |
| 36 | Texas | ~70K | 0.89× | |
| 37 | Louisiana | ~10K | 0.84× | |
| 38 | Hawaii | ~3K | 0.84× | |
| 39 | North Carolina | ~20K | 0.83× | |
| 40 | New Jersey | ~20K | 0.83× | |
| 41 | Delaware | ~2K | 0.83× | |
| 42 | Alabama | ~10K | 0.82× | |
| 43 | Virginia | ~20K | 0.81× | |
| 44 | South Carolina | ~10K | 0.80× | |
| 45 | Florida | ~50K | 0.79× | |
| 46 | New York | ~40K | 0.79× | |
| 47 | Mississippi | ~6K | 0.78× | |
| 48 | Maryland | ~10K | 0.76× | |
| 49 | Georgia | ~20K | 0.74× | |
| 50 | Washington, District of Columbia | ~2K | 0.70× |
The strongest cross-interests of the Hot Tub Time Machine audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | John Wick 2 | Movies & TV | 440.93× | ||
| 02 | Jason Segel | Movies & TV | 145.87× | ||
| 03 | Hot Fuzz | Movies & TV | 106.16× | ||
| 04 | Borat | Movies & TV | 105.52× | ||
| 05 | 22 Jump Street | Movies & TV | 99.17× | ||
| 06 | Sausage Party | Movies & TV | 87.79× | ||
| 07 | Austin Powers (film series) | Movies & TV | 82.57× | ||
| 08 | Jason Sudeikis | Movies & TV | 70.89× | ||
| 09 | Dumb and Dumber | Movies & TV | 67.28× | ||
| 10 | John Malkovich | Movies & TV | 65.82× | ||
| 11 | Jonah Hill | Movies & TV | 64.95× | ||
| 12 | Legally Blonde | Movies & TV | 57.61× | ||
| 13 | Christopher Walken | Movies & TV | 55.12× | ||
| 14 | Steve Carell | Movies & TV | 48.99× | ||
| 15 | Jamie Dornan | Movies & TV | 47.63× | ||
| 16 | The Departed | Movies & TV | 41.67× | ||
| 17 | Andy Samberg | Movies & TV | 39.81× | ||
| 18 | Emma Stone | Movies & TV | 37.37× | ||
| 19 | Zooey Deschanel | Movies & TV | 31.14× | ||
| 20 | Jim Carrey | Movies & TV | 25.84× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 1.40× | |
| Spirituality | BALANCE | 1.37× | |
| Community Orientation | OPEN | 1.34× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Sustainability | BALANCE | 0.55× | |
| Quality Awareness | PREMIUM | 0.57× | |
| Luxury Orientation | PREMIUM | 0.66× |
Hot Tub Time Machine has an estimated audience of 932,189 people in United States, concentrated in California and Texas.
45.6% of Hot Tub Time Machine fans are female, 54.4% are male, with an average age of 43.6 years.
Hot Tub Time Machine fans show strongest brand affinity for John Wick 2 (440.93×), Jason Segel (145.87×), and Borat (105.52×) over the country average.
Hot Tub Time Machine fans in United States are most concentrated in California (reach ~100K), Texas (reach ~70K), and Florida (reach ~50K). These three regions account for the largest share of the active audience.
Beyond Hot Tub Time Machine itself, the audience over-indexes on Jason Segel (145.87×), Borat (105.52×), Jonah Hill (64.95×), and Austin Powers (film series) (82.57×) 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 Hot Tub Time Machine. 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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