A data profile of the people who buy, follow and care about Columbus Short in United States — modelled from more than twelve digital signal sources. Columbus Short has an estimated audience of 581,711 people in United States.
The average Columbus Short fan in United States is 37.3 years old, more female, and lives primarily in Texas.
The audience is concentrated in Texas, California, Georgia.
Top brand affinities include Gerard Butler, Internet celebrity, Bounce TV, with strongest over-indexing on Gerard Butler (22.63× the country average).
Demographically, the Columbus Short audience skews more female with an average age of 37.3, and over-indexes on personality traits such as Career Orientation, Patriotism.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Columbus Short fan in United States is more female, around 37.3 years old, with strong Career Orientation tendencies and a notable affinity for Gerard Butler.
The key figures that characterise the Columbus Short profile in United States.
87.4% are female, 12.6% are male, average age 37.3.
| Metric | Value |
|---|---|
| Female | 87.4% |
| Male | 12.6% |
| Average age | 37.3 |
| Estimated audience size | 581,711 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 18% | |
| 20-29 | 23% | |
| 30-39 | 23% | |
| 40-49 | 29% | |
| 50+ | 6% |
of the worldwide Columbus Short audience comes from United States.
| Country | Share |
|---|---|
| United States | 82.6% |
| United Kingdom | 3.9% |
| Brazil | 3.2% |
Where the Columbus Short audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Mississippi | ~10K | 2.73× | |
| 02 | Georgia | ~40K | 2.39× | |
| 03 | Louisiana | ~20K | 2.14× | |
| 04 | Alabama | ~20K | 2.08× | |
| 05 | Maryland | ~20K | 2.03× | |
| 06 | North Carolina | ~30K | 1.72× | |
| 07 | South Carolina | ~10K | 1.69× | |
| 08 | Washington, District of Columbia | ~3K | 1.59× | |
| 09 | Delaware | ~2K | 1.47× | |
| 10 | Arkansas | ~7K | 1.46× | |
| 11 | Tennessee | ~20K | 1.38× | |
| 12 | Virginia | ~20K | 1.36× | |
| 13 | Texas | ~60K | 1.29× | |
| 14 | Missouri | ~10K | 1.21× | |
| 15 | Michigan | ~20K | 1.18× | |
| 16 | Illinois | ~20K | 1.14× | |
| 17 | Ohio | ~20K | 1.14× | |
| 18 | Florida | ~40K | 1.07× | |
| 19 | Nevada | ~6K | 1.05× | |
| 20 | New York | ~30K | 1.04× | |
| 21 | New Jersey | ~10K | 1.01× | |
| 22 | Indiana | ~10K | 1.00× | |
| 23 | Oklahoma | ~6K | 0.98× | |
| 24 | Pennsylvania | ~20K | 0.97× | |
| 25 | Connecticut | ~5K | 0.94× | |
| 26 | Kentucky | ~7K | 0.91× | |
| 27 | Arizona | ~10K | 0.88× | |
| 28 | Kansas | ~4K | 0.85× | |
| 29 | California | ~50K | 0.84× | |
| 30 | Hawaii | ~2K | 0.82× | |
| 31 | New Mexico | ~2K | 0.78× | |
| 32 | Rhode Island | ~1K | 0.78× | |
| 33 | Alaska | <1K | 0.77× | |
| 34 | Vermont | <1K | 0.75× | |
| 35 | North Dakota | <1K | 0.74× | |
| 36 | West Virginia | ~2K | 0.72× | |
| 37 | South Dakota | <1K | 0.72× | |
| 38 | Montana | ~1K | 0.69× | |
| 39 | Wisconsin | ~6K | 0.68× | |
| 40 | Massachusetts | ~8K | 0.67× | |
| 41 | Nebraska | ~2K | 0.67× | |
| 42 | Iowa | ~3K | 0.63× | |
| 43 | New Hampshire | ~1K | 0.63× | |
| 44 | Maine | ~1K | 0.63× | |
| 45 | Colorado | ~6K | 0.62× | |
| 46 | Minnesota | ~5K | 0.60× | |
| 47 | Idaho | ~2K | 0.60× | |
| 48 | Washington | ~7K | 0.57× | |
| 49 | Oregon | ~4K | 0.53× | |
| 50 | Utah | ~3K | 0.51× |
The strongest cross-interests of the Columbus Short audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Billionaire Boys Club (clothing retailer) | Fashion & Accessoires | 29.92× | ||
| 02 | Bounce TV | Movies & TV | 28.35× | ||
| 03 | Gerard Butler | Movies & TV | 22.63× | ||
| 04 | Thandie Newton | Movies & TV | 14.80× | ||
| 05 | Charles Tyrwhitt | Fashion & Accessoires | 14.80× | ||
| 06 | Empire (2015 TV series) | Movies & TV | 11.19× | ||
| 07 | Internet celebrity | Internet & Social Media | 7.65× | ||
| 08 | Shellfish | Food & Beverages | 7.12× | ||
| 09 | Denzel Washington | Movies & TV | 6.57× | ||
| 10 | Monsters | Movies & TV | 6.44× | ||
| 11 | Teyana Taylor | Movies & TV | 5.52× | ||
| 12 | Michael B. Jordan | Movies & TV | 5.12× | ||
| 13 | Credit (finance) | Business & Career | 3.31× | ||
| 14 | TMZ | Internet & Social Media | 3.15× | ||
| 15 | Burger King | Food & Beverages | 2.49× | ||
| 16 | T-Mobile | Technology & Electronics | 2.44× | ||
| 17 | Subway | Food & Beverages | 2.44× | ||
| 18 | Pizza Hut | Food & Beverages | 2.38× | ||
| 19 | Beauty salons | Beauty & Wellness | 2.27× | ||
| 20 | Cooking | Food & Beverages | 1.61× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 1.67× | |
| Patriotism | CONSERVATISM | 1.62× | |
| Indulgence | JOY | 1.60× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 0.63× | |
| Sustainability | BALANCE | 0.65× | |
| Pet Ownership | JOY | 0.67× |
Columbus Short has an estimated audience of 581,711 people in United States, concentrated in Texas and California.
87.4% of Columbus Short fans are female, 12.6% are male, with an average age of 37.3 years.
Columbus Short fans show strongest brand affinity for Gerard Butler (22.63×), Internet celebrity (7.65×), and Bounce TV (28.35×) over the country average.
Columbus Short fans in United States are most concentrated in Texas (reach ~60K), California (reach ~50K), and Georgia (reach ~40K). These three regions account for the largest share of the active audience.
Beyond Columbus Short itself, the audience over-indexes on Internet celebrity (7.65×), Bounce TV (28.35×), Thandie Newton (14.8×), and Billionaire Boys Club (clothing retailer) (29.92×) 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 Columbus Short. 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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