A data profile of the people who buy, follow and care about Taylor Tomlinson in United States — modelled from more than twelve digital signal sources. Taylor Tomlinson has an estimated audience of 1,424,790 people in United States.
The average Taylor Tomlinson fan in United States is 38.7 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Kim Cattrall, Iliza Shlesinger, Nikki Glaser, with strongest over-indexing on Kim Cattrall (73.98× the country average).
Demographically, the Taylor Tomlinson audience skews balanced with an average age of 38.7, and over-indexes on personality traits such as Individualism, Convenience Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Taylor Tomlinson fan in United States is balanced, around 38.7 years old, with strong Individualism tendencies and a notable affinity for Kim Cattrall.
The key figures that characterise the Taylor Tomlinson profile in United States.
52.1% are female, 47.9% are male, average age 38.7.
| Metric | Value |
|---|---|
| Female | 52.1% |
| Male | 47.9% |
| Average age | 38.7 |
| Estimated audience size | 1,424,790 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 21% | |
| 20-29 | 18% | |
| 30-39 | 21% | |
| 40-49 | 21% | |
| 50+ | 18% |
of the worldwide Taylor Tomlinson audience comes from United States.
| Country | Share |
|---|---|
| United States | 71.1% |
| Canada | 7.2% |
| United Kingdom | 4.8% |
Where the Taylor Tomlinson audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Oregon | ~30K | 1.91× | |
| 02 | Washington | ~50K | 1.59× | |
| 03 | Wisconsin | ~30K | 1.52× | |
| 04 | Colorado | ~30K | 1.46× | |
| 05 | Michigan | ~50K | 1.40× | |
| 06 | Washington, District of Columbia | ~6K | 1.38× | |
| 07 | New Hampshire | ~8K | 1.31× | |
| 08 | Vermont | ~3K | 1.26× | |
| 09 | Utah | ~20K | 1.23× | |
| 10 | Indiana | ~30K | 1.19× | |
| 11 | Maine | ~6K | 1.16× | |
| 12 | Ohio | ~50K | 1.15× | |
| 13 | Pennsylvania | ~60K | 1.14× | |
| 14 | Minnesota | ~20K | 1.14× | |
| 15 | Massachusetts | ~30K | 1.09× | |
| 16 | Nebraska | ~8K | 1.06× | |
| 17 | Missouri | ~20K | 1.04× | |
| 18 | Iowa | ~10K | 1.04× | |
| 19 | Montana | ~4K | 1.04× | |
| 20 | Kansas | ~10K | 1.03× | |
| 21 | Illinois | ~50K | 1.02× | |
| 22 | Idaho | ~7K | 1.00× | |
| 23 | Arizona | ~30K | 0.98× | |
| 24 | Alaska | ~3K | 0.98× | |
| 25 | Tennessee | ~30K | 0.97× | |
| 26 | Connecticut | ~10K | 0.97× | |
| 27 | North Dakota | ~3K | 0.96× | |
| 28 | California | ~200K | 0.95× | |
| 29 | New York | ~80K | 0.93× | |
| 30 | Virginia | ~30K | 0.93× | |
| 31 | Rhode Island | ~4K | 0.93× | |
| 32 | South Dakota | ~3K | 0.93× | |
| 33 | Maryland | ~20K | 0.91× | |
| 34 | Oklahoma | ~10K | 0.91× | |
| 35 | Kentucky | ~20K | 0.90× | |
| 36 | North Carolina | ~40K | 0.89× | |
| 37 | Delaware | ~4K | 0.88× | |
| 38 | New Mexico | ~6K | 0.86× | |
| 39 | West Virginia | ~6K | 0.85× | |
| 40 | New Jersey | ~30K | 0.80× | |
| 41 | Georgia | ~40K | 0.77× | |
| 42 | Arkansas | ~9K | 0.77× | |
| 43 | Nevada | ~10K | 0.72× | |
| 44 | South Carolina | ~20K | 0.70× | |
| 45 | Hawaii | ~4K | 0.66× | |
| 46 | Alabama | ~10K | 0.64× | |
| 47 | Florida | ~60K | 0.63× | |
| 48 | Texas | ~80K | 0.61× | |
| 49 | Louisiana | ~10K | 0.60× | |
| 50 | Mississippi | ~7K | 0.57× |
The strongest cross-interests of the Taylor Tomlinson audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Iliza Shlesinger | Movies & TV | 76.18× | ||
| 02 | Kim Cattrall | Movies & TV | 73.98× | ||
| 03 | Jenny Slate | Movies & TV | 38.39× | ||
| 04 | Nikki Glaser | Movies & TV | 34.92× | ||
| 05 | Tig Notaro | Movies & TV | 33.46× | ||
| 06 | Marc Maron | Movies & TV | 28.67× | ||
| 07 | Alison Brie | Movies & TV | 27.65× | ||
| 08 | Wanda Sykes | Movies & TV | 18.99× | ||
| 09 | Identity theft | Internet & Social Media | 17.68× | ||
| 10 | Fuller House (TV series) | Movies & TV | 17.44× | ||
| 11 | Matthew Gray Gubler | Fashion & Accessoires | 17.44× | ||
| 12 | Bert Kreischer | Movies & TV | 17.43× | ||
| 13 | Norm Macdonald | Movies & TV | 16.65× | ||
| 14 | Gwendoline Christie | Movies & TV | 15.18× | ||
| 15 | Political satire | Literature | 14.40× | ||
| 16 | David Spade | Movies & TV | 14.19× | ||
| 17 | Robin Williams | Movies & TV | 12.13× | ||
| 18 | Kevin James | Movies & TV | 11.38× | ||
| 19 | Chelsea Handler | Movies & TV | 10.18× | ||
| 20 | Sex and the City | Movies & TV | 5.19× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Individualism | JOY | 1.55× | |
| Convenience Orientation | PREMIUM | 1.47× | |
| Early Adopter Mentality | POWER | 1.45× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Luxury Orientation | PREMIUM | 0.78× | |
| DIY Mentality | THRILL | 0.79× | |
| Healthy Lifestyle | BALANCE | 0.82× |
Taylor Tomlinson has an estimated audience of 1,424,790 people in United States, concentrated in California and Texas.
52.1% of Taylor Tomlinson fans are female, 47.9% are male, with an average age of 38.7 years.
Taylor Tomlinson fans show strongest brand affinity for Kim Cattrall (73.98×), Iliza Shlesinger (76.18×), and Nikki Glaser (34.92×) over the country average.
Taylor Tomlinson fans in United States are most concentrated in California (reach ~200K), Texas (reach ~80K), and New York (reach ~80K). These three regions account for the largest share of the active audience.
Beyond Taylor Tomlinson itself, the audience over-indexes on Iliza Shlesinger (76.18×), Nikki Glaser (34.92×), Alison Brie (27.65×), and Jenny Slate (38.39×) 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 Taylor Tomlinson. 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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