A data profile of the people who buy, follow and care about Wine and food matching in United States — modelled from more than twelve digital signal sources. Wine and food matching has an estimated audience of 1,828,817 people in United States.
The average Wine and food matching fan in United States is 36.0 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Wine tasting, Red wine, White wine, with strongest over-indexing on Wine tasting (17.17× the country average).
Demographically, the Wine and food matching audience skews more female with an average age of 36.0, and over-indexes on personality traits such as Indulgence, Design Affinity.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Wine and food matching fan in United States is more female, around 36.0 years old, with strong Indulgence tendencies and a notable affinity for Wine tasting.
The key figures that characterise the Wine and food matching profile in United States.
64.0% are female, 36.0% are male, average age 36.0.
| Metric | Value |
|---|---|
| Female | 64.0% |
| Male | 36.0% |
| Average age | 36.0 |
| Estimated audience size | 1,828,817 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 21% | |
| 20-29 | 28% | |
| 30-39 | 22% | |
| 40-49 | 18% | |
| 50+ | 11% |
Where the Wine and food matching audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Arkansas | ~20K | 1.43× | |
| 02 | California | ~300K | 1.31× | |
| 03 | New York | ~100K | 1.25× | |
| 04 | Oregon | ~30K | 1.20× | |
| 05 | Washington, District of Columbia | ~6K | 1.18× | |
| 06 | Washington | ~40K | 1.16× | |
| 07 | Massachusetts | ~40K | 1.13× | |
| 08 | Alaska | ~4K | 1.13× | |
| 09 | Colorado | ~30K | 1.12× | |
| 10 | Virginia | ~50K | 1.11× | |
| 11 | Nevada | ~20K | 1.09× | |
| 12 | Connecticut | ~20K | 1.07× | |
| 13 | Florida | ~100K | 1.06× | |
| 14 | Vermont | ~3K | 1.05× | |
| 15 | Hawaii | ~8K | 1.04× | |
| 16 | Montana | ~5K | 1.04× | |
| 17 | Pennsylvania | ~60K | 1.03× | |
| 18 | New Jersey | ~50K | 1.02× | |
| 19 | Maryland | ~30K | 1.02× | |
| 20 | Rhode Island | ~6K | 1.02× | |
| 21 | North Dakota | ~4K | 1.02× | |
| 22 | Arizona | ~40K | 1.01× | |
| 23 | South Dakota | ~4K | 1.01× | |
| 24 | Illinois | ~60K | 0.98× | |
| 25 | North Carolina | ~50K | 0.98× | |
| 26 | Delaware | ~5K | 0.98× | |
| 27 | Missouri | ~30K | 0.97× | |
| 28 | Minnesota | ~30K | 0.96× | |
| 29 | New Hampshire | ~7K | 0.96× | |
| 30 | Kansas | ~10K | 0.95× | |
| 31 | Maine | ~6K | 0.95× | |
| 32 | Wisconsin | ~30K | 0.94× | |
| 33 | Louisiana | ~20K | 0.94× | |
| 34 | Georgia | ~50K | 0.93× | |
| 35 | Utah | ~20K | 0.93× | |
| 36 | Idaho | ~9K | 0.93× | |
| 37 | New Mexico | ~9K | 0.93× | |
| 38 | West Virginia | ~8K | 0.93× | |
| 39 | Nebraska | ~8K | 0.92× | |
| 40 | South Carolina | ~30K | 0.91× | |
| 41 | Mississippi | ~10K | 0.91× | |
| 42 | Michigan | ~40K | 0.89× | |
| 43 | Iowa | ~10K | 0.89× | |
| 44 | Tennessee | ~30K | 0.88× | |
| 45 | Kentucky | ~20K | 0.88× | |
| 46 | Alabama | ~20K | 0.87× | |
| 47 | Oklahoma | ~20K | 0.86× | |
| 48 | Texas | ~100K | 0.85× | |
| 49 | Ohio | ~50K | 0.85× | |
| 50 | Indiana | ~30K | 0.84× |
The strongest cross-interests of the Wine and food matching audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Malbec | Food & Beverages | 42.14× | ||
| 02 | Merlot | Food & Beverages | 38.93× | ||
| 03 | Sauvignon blanc | Food & Beverages | 35.35× | ||
| 04 | Burgundy wine | Food & Beverages | 31.98× | ||
| 05 | Pinot noir | Food & Beverages | 24.14× | ||
| 06 | Bordeaux wine | Food & Beverages | 20.45× | ||
| 07 | Society6 | Shopping | 20.00× | ||
| 08 | Wine tasting | Food & Beverages | 17.17× | ||
| 09 | White wine | Food & Beverages | 16.68× | ||
| 10 | Kate Bosworth | Movies & TV | 16.19× | ||
| 11 | Red wine | Food & Beverages | 14.25× | ||
| 12 | Naked Wines | Food & Beverages | 12.38× | ||
| 13 | Champagne | Food & Beverages | 11.01× | ||
| 14 | Sunday Brunch | Kids & Family | 7.36× | ||
| 15 | Single malt whisky | Food & Beverages | 6.94× | ||
| 16 | Sparkling wine | Food & Beverages | 4.91× | ||
| 17 | Vineyard | Food & Beverages | 3.94× | ||
| 18 | Trader Joe's | Shopping | 3.15× | ||
| 19 | Local food | Food & Beverages | 2.93× | ||
| 20 | Do it yourself (DIY) | Home & Garden | 2.03× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 4.26× | |
| Design Affinity | PREMIUM | 2.16× | |
| Travelling | THRILL | 2.08× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Social Media Usage | JOY | 0.79× | |
| Tradition | CONSERVATISM | 0.80× | |
| Patriotism | CONSERVATISM | 0.82× |
Wine and food matching has an estimated audience of 1,828,817 people in United States, concentrated in California and Texas.
64.0% of Wine and food matching fans are female, 36.0% are male, with an average age of 36.0 years.
Wine and food matching fans show strongest brand affinity for Wine tasting (17.17×), Red wine (14.25×), and White wine (16.68×) over the country average.
Wine and food matching fans in United States are most concentrated in California (reach ~300K), Texas (reach ~100K), and Florida (reach ~100K). These three regions account for the largest share of the active audience.
Beyond Wine and food matching itself, the audience over-indexes on Red wine (14.25×), White wine (16.68×), Merlot (38.93×), and Champagne (11.01×) 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 Wine and food matching. 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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