A data profile of the people who buy, follow and care about High jump in United States — modelled from more than twelve digital signal sources. High jump has an estimated audience of 402,567 people in United States.
The average High jump fan in United States is 30.9 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include 800 metres, Long jump, 400 metres, with strongest over-indexing on 800 metres (132.63× the country average).
Demographically, the High jump audience skews balanced with an average age of 30.9, and over-indexes on personality traits such as Individualism, Mindfulness.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical High jump fan in United States is balanced, around 30.9 years old, with strong Individualism tendencies and a notable affinity for 800 metres.
The key figures that characterise the High jump profile in United States.
52.2% are female, 47.8% are male, average age 30.9.
| Metric | Value |
|---|---|
| Female | 52.2% |
| Male | 47.8% |
| Average age | 30.9 |
| Estimated audience size | 402,567 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 47% | |
| 20-29 | 18% | |
| 30-39 | 13% | |
| 40-49 | 12% | |
| 50+ | 10% |
Where the High jump audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Illinois | ~20K | 1.50× | |
| 02 | Nebraska | ~3K | 1.37× | |
| 03 | Kansas | ~4K | 1.27× | |
| 04 | Texas | ~40K | 1.19× | |
| 05 | North Dakota | <1K | 1.16× | |
| 06 | Oregon | ~5K | 1.14× | |
| 07 | South Dakota | ~1K | 1.14× | |
| 08 | Massachusetts | ~9K | 1.13× | |
| 09 | Idaho | ~2K | 1.12× | |
| 10 | Washington | ~9K | 1.11× | |
| 11 | Utah | ~4K | 1.11× | |
| 12 | Minnesota | ~6K | 1.10× | |
| 13 | New Jersey | ~10K | 1.09× | |
| 14 | Iowa | ~4K | 1.08× | |
| 15 | Missouri | ~7K | 1.07× | |
| 16 | Connecticut | ~4K | 1.07× | |
| 17 | California | ~50K | 1.06× | |
| 18 | Indiana | ~8K | 1.06× | |
| 19 | Wisconsin | ~6K | 1.05× | |
| 20 | Hawaii | ~2K | 1.04× | |
| 21 | Pennsylvania | ~10K | 1.02× | |
| 22 | Ohio | ~10K | 1.02× | |
| 23 | Maine | ~1K | 1.02× | |
| 24 | Georgia | ~10K | 1.01× | |
| 25 | Virginia | ~10K | 1.01× | |
| 26 | Michigan | ~10K | 1.00× | |
| 27 | Washington, District of Columbia | ~1K | 1.00× | |
| 28 | Montana | ~1K | 1.00× | |
| 29 | Alaska | <1K | 0.97× | |
| 30 | Maryland | ~7K | 0.96× | |
| 31 | Arkansas | ~3K | 0.96× | |
| 32 | Colorado | ~6K | 0.95× | |
| 33 | Louisiana | ~5K | 0.95× | |
| 34 | Vermont | <1K | 0.95× | |
| 35 | North Carolina | ~10K | 0.92× | |
| 36 | Oklahoma | ~4K | 0.92× | |
| 37 | Delaware | ~1K | 0.92× | |
| 38 | New Hampshire | ~1K | 0.91× | |
| 39 | Arizona | ~7K | 0.90× | |
| 40 | Kentucky | ~5K | 0.90× | |
| 41 | New York | ~20K | 0.89× | |
| 42 | Mississippi | ~3K | 0.89× | |
| 43 | West Virginia | ~2K | 0.88× | |
| 44 | Rhode Island | ~1K | 0.88× | |
| 45 | Alabama | ~5K | 0.86× | |
| 46 | New Mexico | ~2K | 0.83× | |
| 47 | Tennessee | ~6K | 0.80× | |
| 48 | South Carolina | ~5K | 0.80× | |
| 49 | Nevada | ~3K | 0.78× | |
| 50 | Florida | ~20K | 0.77× |
The strongest cross-interests of the High jump audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | 400 metres | Sports | 146.75× | ||
| 02 | 800 metres | Sports | 132.63× | ||
| 03 | Long jump | Sports | 132.04× | ||
| 04 | 1500 metres | Sports | 124.84× | ||
| 05 | 3000 metres | Sports | 120.34× | ||
| 06 | 200 metres | Sports | 112.01× | ||
| 07 | Air Serbia | Travel & Leisure | 98.31× | ||
| 08 | Trekking pole | Sports | 91.61× | ||
| 09 | Mile run | Sports | 91.58× | ||
| 10 | Yonex | Sports | 84.75× | ||
| 11 | Femke Bol | Sports | 73.77× | ||
| 12 | W9 (TV channel) | Movies & TV | 64.40× | ||
| 13 | Dolomites | Travel & Leisure | 60.49× | ||
| 14 | Boiler Room (film) | Movies & TV | 42.31× | ||
| 15 | Inline skates | Sports | 35.92× | ||
| 16 | Lawless (film) | Movies & TV | 33.11× | ||
| 17 | The Master (2012 film) | Movies & TV | 21.22× | ||
| 18 | Endurance training | Sports | 18.49× | ||
| 19 | Infomercial | Movies & TV | 13.48× | ||
| 20 | Seven (1995 film) | Movies & TV | 13.04× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Individualism | JOY | 1.08× | |
| Mindfulness | BALANCE | 1.04× | |
| Luxury Orientation | PREMIUM | 1.02× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.69× | |
| Need for Security | CONSERVATISM | 0.70× | |
| Price Sensitivity | PREMIUM | 0.74× |
High jump has an estimated audience of 402,567 people in United States, concentrated in California and Texas.
52.2% of High jump fans are female, 47.8% are male, with an average age of 30.9 years.
High jump fans show strongest brand affinity for 800 metres (132.63×), Long jump (132.04×), and 400 metres (146.75×) over the country average.
High jump fans in United States are most concentrated in California (reach ~50K), Texas (reach ~40K), and Florida (reach ~20K). These three regions account for the largest share of the active audience.
Beyond High jump itself, the audience over-indexes on Long jump (132.04×), 400 metres (146.75×), Mile run (91.58×), and 200 metres (112.01×) 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 jump. 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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