A data profile of the people who buy, follow and care about Beaches in United States — modelled from more than twelve digital signal sources. Beaches has an estimated audience of 61,204,739 people in United States.
The average Beaches fan in United States is 43.0 years old, more female, and lives primarily in California.
The audience is concentrated in California, New York, Florida.
Top brand affinities include Vacations, Macy's, Kohl's, with strongest over-indexing on Vacations (1.8× the country average).
Demographically, the Beaches audience skews more female with an average age of 43.0, and over-indexes on personality traits such as Travelling, Design Affinity.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Beaches fan in United States is more female, around 43.0 years old, with strong Travelling tendencies and a notable affinity for Vacations.
The key figures that characterise the Beaches profile in United States.
58.6% are female, 41.4% are male, average age 43.0.
| Metric | Value |
|---|---|
| Female | 58.6% |
| Male | 41.4% |
| Average age | 43.0 |
| Estimated audience size | 61,204,739 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 12% | |
| 20-29 | 16% | |
| 30-39 | 19% | |
| 40-49 | 24% | |
| 50+ | 29% |
Where the Beaches audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Vermont | ~200K | 2.01× | |
| 02 | Massachusetts | ~2M | 1.83× | |
| 03 | Connecticut | ~1M | 1.76× | |
| 04 | Maine | ~400K | 1.70× | |
| 05 | New Hampshire | ~400K | 1.68× | |
| 06 | Minnesota | ~1.5M | 1.51× | |
| 07 | Rhode Island | ~300K | 1.49× | |
| 08 | Wisconsin | ~1.5M | 1.46× | |
| 09 | Pennsylvania | ~2.5M | 1.30× | |
| 10 | Hawaii | ~300K | 1.26× | |
| 11 | Iowa | ~600K | 1.23× | |
| 12 | New Jersey | ~2M | 1.22× | |
| 13 | Delaware | ~200K | 1.22× | |
| 14 | Washington, District of Columbia | ~200K | 1.19× | |
| 15 | Nebraska | ~400K | 1.17× | |
| 16 | New York | ~4M | 1.14× | |
| 17 | Ohio | ~2M | 1.13× | |
| 18 | Virginia | ~1.5M | 1.10× | |
| 19 | Oregon | ~800K | 1.07× | |
| 20 | Illinois | ~2M | 1.06× | |
| 21 | Maryland | ~1M | 1.06× | |
| 22 | Montana | ~200K | 1.06× | |
| 23 | North Dakota | ~100K | 1.06× | |
| 24 | Michigan | ~1.5M | 1.04× | |
| 25 | Colorado | ~1M | 1.03× | |
| 26 | Washington | ~1M | 0.98× | |
| 27 | Kansas | ~500K | 0.95× | |
| 28 | North Carolina | ~1.5M | 0.93× | |
| 29 | Missouri | ~900K | 0.93× | |
| 30 | Indiana | ~1M | 0.92× | |
| 31 | South Carolina | ~800K | 0.92× | |
| 32 | South Dakota | ~100K | 0.92× | |
| 33 | Utah | ~500K | 0.86× | |
| 34 | Kentucky | ~600K | 0.80× | |
| 35 | Idaho | ~200K | 0.80× | |
| 36 | Florida | ~3M | 0.76× | |
| 37 | Tennessee | ~900K | 0.76× | |
| 38 | West Virginia | ~200K | 0.75× | |
| 39 | California | ~4.5M | 0.70× | |
| 40 | Georgia | ~1.5M | 0.67× | |
| 41 | Arizona | ~800K | 0.67× | |
| 42 | Alaska | ~90K | 0.67× | |
| 43 | Alabama | ~600K | 0.65× | |
| 44 | Arkansas | ~300K | 0.60× | |
| 45 | Louisiana | ~500K | 0.57× | |
| 46 | Oklahoma | ~400K | 0.56× | |
| 47 | Texas | ~2.5M | 0.49× | |
| 48 | Mississippi | ~200K | 0.48× | |
| 49 | New Mexico | ~100K | 0.48× | |
| 50 | Nevada | ~300K | 0.47× |
The strongest cross-interests of the Beaches audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Travel Adventures | Travel & Leisure | 2.09× | ||
| 02 | Swimsuit | Fashion & Accessoires | 1.99× | ||
| 03 | Anthropologie | Shopping | 1.90× | ||
| 04 | Skirt | Fashion & Accessoires | 1.84× | ||
| 05 | Vacations | Travel & Leisure | 1.80× | ||
| 06 | Macy's | Shopping | 1.75× | ||
| 07 | Lodging | Travel & Leisure | 1.70× | ||
| 08 | Husband | Kids & Family | 1.69× | ||
| 09 | Kohl's | Shopping | 1.61× | ||
| 10 | Cruises | Travel & Leisure | 1.61× | ||
| 11 | Offspring | Home & Garden | 1.58× | ||
| 12 | Handbags | Fashion & Accessoires | 1.57× | ||
| 13 | Symptom | Health | 1.55× | ||
| 14 | Outdoor enthusiast | Sports | 1.55× | ||
| 15 | Women's clothing | Fashion & Accessoires | 1.52× | ||
| 16 | Trousers | Fashion & Accessoires | 1.52× | ||
| 17 | Discount stores | Shopping | 1.52× | ||
| 18 | Resort | Travel & Leisure | 1.51× | ||
| 19 | Swimming pool | Sports | 1.51× | ||
| 20 | Dresses | Fashion & Accessoires | 1.50× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Travelling | THRILL | 1.42× | |
| Design Affinity | PREMIUM | 1.32× | |
| Creativity | OPEN | 1.31× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.90× | |
| Need for Security | CONSERVATISM | 0.92× | |
| Social Media Usage | JOY | 0.97× |
Beaches has an estimated audience of 61,204,739 people in United States, concentrated in California and New York.
58.6% of Beaches fans are female, 41.4% are male, with an average age of 43.0 years.
Beaches fans show strongest brand affinity for Vacations (1.8×), Macy's (1.75×), and Kohl's (1.61×) over the country average.
Beaches fans in United States are most concentrated in California (reach ~4.5M), New York (reach ~4M), and Florida (reach ~3M). These three regions account for the largest share of the active audience.
Beyond Beaches itself, the audience over-indexes on Macy's (1.75×), Kohl's (1.61×), Women's clothing (1.52×), and Dresses (1.5×) 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 Beaches. 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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