A data profile of the people who buy, follow and care about Coffee in United States — modelled from more than twelve digital signal sources. Coffee has an estimated audience of 78,483,558 people in United States.
The average Coffee fan in United States is 40.8 years old, more female, and lives primarily in California.
The audience is concentrated in California, New York, Texas.
Top brand affinities include Nancy Mace, Google Drive, Savannah Guthrie, with strongest over-indexing on Nancy Mace (2.26× the country average).
Demographically, the Coffee audience skews more female with an average age of 40.8, and over-indexes on personality traits such as Indulgence, Need for Security.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Coffee fan in United States is more female, around 40.8 years old, with strong Indulgence tendencies and a notable affinity for Nancy Mace.
The key figures that characterise the Coffee profile in United States.
61.4% are female, 38.6% are male, average age 40.8.
| Metric | Value |
|---|---|
| Female | 61.4% |
| Male | 38.6% |
| Average age | 40.8 |
| Estimated audience size | 78,483,558 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 17% | |
| 20-29 | 18% | |
| 30-39 | 19% | |
| 40-49 | 22% | |
| 50+ | 24% |
of the worldwide Coffee audience comes from United States.
| Country | Share |
|---|---|
| United States | 18.9% |
| Japan | 4.7% |
| United Kingdom | 4.2% |
Where the Coffee audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hawaii | ~1M | 3.23× | |
| 02 | Washington, District of Columbia | ~700K | 2.83× | |
| 03 | New York | ~8.5M | 1.90× | |
| 04 | Washington | ~3M | 1.80× | |
| 05 | Oregon | ~1.5M | 1.68× | |
| 06 | California | ~14M | 1.61× | |
| 07 | Colorado | ~2M | 1.50× | |
| 08 | Vermont | ~200K | 1.36× | |
| 09 | Massachusetts | ~2M | 1.30× | |
| 10 | Montana | ~300K | 1.28× | |
| 11 | Alaska | ~200K | 1.25× | |
| 12 | Wyoming | ~100K | 1.18× | |
| 13 | Maine | ~300K | 1.17× | |
| 14 | Illinois | ~3M | 1.07× | |
| 15 | Utah | ~700K | 1.04× | |
| 16 | Nevada | ~800K | 1.01× | |
| 17 | Rhode Island | ~300K | 1.00× | |
| 18 | Idaho | ~400K | 0.97× | |
| 19 | New Mexico | ~400K | 0.97× | |
| 20 | Virginia | ~2M | 0.95× | |
| 21 | Minnesota | ~1M | 0.95× | |
| 22 | Texas | ~6.5M | 0.94× | |
| 23 | North Carolina | ~2M | 0.89× | |
| 24 | New Jersey | ~2M | 0.89× | |
| 25 | Arizona | ~1.5M | 0.87× | |
| 26 | Tennessee | ~1.5M | 0.83× | |
| 27 | Florida | ~4.5M | 0.82× | |
| 28 | Pennsylvania | ~2M | 0.82× | |
| 29 | New Hampshire | ~300K | 0.82× | |
| 30 | Wisconsin | ~1M | 0.81× | |
| 31 | Georgia | ~2M | 0.80× | |
| 32 | Maryland | ~1M | 0.77× | |
| 33 | Missouri | ~1M | 0.77× | |
| 34 | Connecticut | ~600K | 0.77× | |
| 35 | South Carolina | ~900K | 0.75× | |
| 36 | Louisiana | ~700K | 0.72× | |
| 37 | Michigan | ~1.5M | 0.71× | |
| 38 | Kansas | ~400K | 0.70× | |
| 39 | South Dakota | ~100K | 0.68× | |
| 40 | Ohio | ~1.5M | 0.64× | |
| 41 | Nebraska | ~200K | 0.63× | |
| 42 | Indiana | ~900K | 0.62× | |
| 43 | Iowa | ~400K | 0.62× | |
| 44 | Oklahoma | ~500K | 0.60× | |
| 45 | Kentucky | ~600K | 0.59× | |
| 46 | Arkansas | ~400K | 0.59× | |
| 47 | Delaware | ~100K | 0.57× | |
| 48 | Alabama | ~600K | 0.50× | |
| 49 | West Virginia | ~200K | 0.46× | |
| 50 | Mississippi | ~300K | 0.44× |
The strongest cross-interests of the Coffee audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Princess Polly | Fashion & Accessoires | 2.73× | ||
| 02 | New-adult fiction | Literature | 2.42× | ||
| 03 | Savannah Guthrie | Movies & TV | 2.27× | ||
| 04 | Bob Evans (musician) | Music & Radio | 2.27× | ||
| 05 | Nancy Mace | Politics & Society | 2.26× | ||
| 06 | Aritzia | Fashion & Accessoires | 2.21× | ||
| 07 | Purchase discount | Shopping | 2.18× | ||
| 08 | LabCorp | Health | 2.13× | ||
| 09 | Love's Travel Stops & Country Stores | Shopping | 2.06× | ||
| 10 | Google Calendar | Internet & Social Media | 2.00× | ||
| 11 | JellyRoll | Music & Radio | 1.98× | ||
| 12 | Ana de Armas | Movies & TV | 1.94× | ||
| 13 | Maltese (dog) | Pets & Animals | 1.84× | ||
| 14 | Home Decoration & Design | Home & Garden | 1.83× | ||
| 15 | Unique Gifts | Shopping | 1.76× | ||
| 16 | Google Drive | Technology & Electronics | 1.73× | ||
| 17 | Coach | Fashion & Accessoires | 1.72× | ||
| 18 | Google News | News | 1.65× | ||
| 19 | Scooby-Doo | Movies & TV | 1.63× | ||
| 20 | First-time home buyer grant | Home & Garden | 1.60× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 1.15× | |
| Need for Security | CONSERVATISM | 1.11× | |
| Luxury Orientation | PREMIUM | 1.07× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Risk Appetite | THRILL | 0.79× | |
| Early Adopter Mentality | POWER | 0.81× | |
| Urban Lifestyle | OPEN | 0.87× |
Coffee has an estimated audience of 78,483,558 people in United States, concentrated in California and New York.
61.4% of Coffee fans are female, 38.6% are male, with an average age of 40.8 years.
Coffee fans show strongest brand affinity for Nancy Mace (2.26×), Google Drive (1.73×), and Savannah Guthrie (2.27×) over the country average.
Coffee fans in United States are most concentrated in California (reach ~14M), New York (reach ~8.5M), and Texas (reach ~6.5M). These three regions account for the largest share of the active audience.
Beyond Coffee itself, the audience over-indexes on Google Drive (1.73×), Savannah Guthrie (2.27×), LabCorp (2.13×), and Scooby-Doo (1.63×) 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 Coffee. 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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