A data profile of the people who buy, follow and care about Teddy Swims in United States — modelled from more than twelve digital signal sources. Teddy Swims has an estimated audience of 4,511,983 people in United States.
The average Teddy Swims fan in United States is 35.5 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Keith Urban, Ariana Grande, malwarebytes, with strongest over-indexing on Keith Urban (6.65× the country average).
Demographically, the Teddy Swims audience skews more female with an average age of 35.5, and over-indexes on personality traits such as Extroversion, Community Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Teddy Swims fan in United States is more female, around 35.5 years old, with strong Extroversion tendencies and a notable affinity for Keith Urban.
The key figures that characterise the Teddy Swims profile in United States.
55.5% are female, 44.5% are male, average age 35.5.
| Metric | Value |
|---|---|
| Female | 55.5% |
| Male | 44.5% |
| Average age | 35.5 |
| Estimated audience size | 4,511,983 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 32% | |
| 20-29 | 19% | |
| 30-39 | 15% | |
| 40-49 | 17% | |
| 50+ | 16% |
of the worldwide Teddy Swims audience comes from United States.
| Country | Share |
|---|---|
| United States | 37.1% |
| United Kingdom | 9.3% |
| Australia | 7.5% |
Where the Teddy Swims audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hawaii | ~30K | 1.36× | |
| 02 | Louisiana | ~80K | 1.30× | |
| 03 | Tennessee | ~100K | 1.29× | |
| 04 | South Carolina | ~90K | 1.26× | |
| 05 | Georgia | ~200K | 1.25× | |
| 06 | Alabama | ~80K | 1.23× | |
| 07 | Connecticut | ~60K | 1.17× | |
| 08 | New Hampshire | ~20K | 1.17× | |
| 09 | Mississippi | ~50K | 1.14× | |
| 10 | Kentucky | ~70K | 1.13× | |
| 11 | Oklahoma | ~60K | 1.12× | |
| 12 | Arkansas | ~40K | 1.12× | |
| 13 | Missouri | ~90K | 1.11× | |
| 14 | Ohio | ~200K | 1.10× | |
| 15 | North Carolina | ~200K | 1.09× | |
| 16 | North Dakota | ~10K | 1.09× | |
| 17 | Colorado | ~80K | 1.08× | |
| 18 | Florida | ~400K | 1.07× | |
| 19 | Michigan | ~100K | 1.07× | |
| 20 | Maine | ~20K | 1.07× | |
| 21 | Massachusetts | ~100K | 1.06× | |
| 22 | Indiana | ~90K | 1.05× | |
| 23 | Rhode Island | ~20K | 1.04× | |
| 24 | Nebraska | ~20K | 1.01× | |
| 25 | Pennsylvania | ~200K | 1.00× | |
| 26 | Iowa | ~40K | 1.00× | |
| 27 | West Virginia | ~20K | 1.00× | |
| 28 | Minnesota | ~70K | 0.98× | |
| 29 | Nevada | ~50K | 0.98× | |
| 30 | Kansas | ~40K | 0.98× | |
| 31 | Virginia | ~100K | 0.96× | |
| 32 | Wisconsin | ~70K | 0.96× | |
| 33 | Oregon | ~50K | 0.96× | |
| 34 | Delaware | ~10K | 0.95× | |
| 35 | Illinois | ~200K | 0.94× | |
| 36 | Washington | ~90K | 0.91× | |
| 37 | New Jersey | ~100K | 0.89× | |
| 38 | New York | ~200K | 0.87× | |
| 39 | Arizona | ~90K | 0.87× | |
| 40 | Utah | ~40K | 0.87× | |
| 41 | Montana | ~10K | 0.87× | |
| 42 | Maryland | ~70K | 0.86× | |
| 43 | Vermont | ~7K | 0.86× | |
| 44 | Idaho | ~20K | 0.85× | |
| 45 | Texas | ~400K | 0.84× | |
| 46 | Washington, District of Columbia | ~10K | 0.83× | |
| 47 | South Dakota | ~9K | 0.82× | |
| 48 | California | ~400K | 0.80× | |
| 49 | New Mexico | ~20K | 0.78× | |
| 50 | Alaska | ~7K | 0.70× |
The strongest cross-interests of the Teddy Swims audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | malwarebytes | Technology & Electronics | 8.56× | ||
| 02 | Military press | Sports | 7.30× | ||
| 03 | Keith Urban | Music & Radio | 6.65× | ||
| 04 | Erin Andrews | Sports | 5.78× | ||
| 05 | Chyler Leigh | Fashion & Accessoires | 5.74× | ||
| 06 | Dwight Yoakam | Music & Radio | 5.54× | ||
| 07 | Chris Stapleton | Music & Radio | 3.77× | ||
| 08 | Alan Jackson | Music & Radio | 3.67× | ||
| 09 | Willie Nelson | Music & Radio | 3.35× | ||
| 10 | Charlize Theron | Movies & TV | 2.98× | ||
| 11 | Megan Fox | Movies & TV | 2.48× | ||
| 12 | Ariana Grande | Music & Radio | 2.30× | ||
| 13 | Rockabilly | Fashion & Accessoires | 2.16× | ||
| 14 | Labor Day | Politics & Society | 1.89× | ||
| 15 | Apple Music | Music & Radio | 1.72× | ||
| 16 | Diane Keaton | Movies & TV | 1.64× | ||
| 17 | Fandom | Literature | 1.55× | ||
| 18 | Meteorology | Home & Garden | 1.53× | ||
| 19 | Mixed martial arts | Sports | 1.51× | ||
| 20 | Britney Spears | Music & Radio | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 1.26× | |
| Community Orientation | OPEN | 1.21× | |
| Tradition | CONSERVATISM | 1.21× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Quality Awareness | PREMIUM | 0.89× | |
| Pet Ownership | JOY | 0.90× | |
| Healthy Lifestyle | BALANCE | 0.94× |
Teddy Swims has an estimated audience of 4,511,983 people in United States, concentrated in California and Texas.
55.5% of Teddy Swims fans are female, 44.5% are male, with an average age of 35.5 years.
Teddy Swims fans show strongest brand affinity for Keith Urban (6.65×), Ariana Grande (2.3×), and malwarebytes (8.56×) over the country average.
Teddy Swims fans in United States are most concentrated in California (reach ~400K), Texas (reach ~400K), and Florida (reach ~400K). These three regions account for the largest share of the active audience.
Beyond Teddy Swims itself, the audience over-indexes on Ariana Grande (2.3×), malwarebytes (8.56×), Military press (7.3×), and Willie Nelson (3.35×) 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 Teddy Swims. 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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