A data profile of the people who buy, follow and care about Blue cheese in United States — modelled from more than twelve digital signal sources. Blue cheese has an estimated audience of 619,743 people in United States.
The average Blue cheese fan in United States is 35.6 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Eating, Alcoholic beverages, Cuisine, with strongest over-indexing on Eating (1.95× the country average).
Demographically, the Blue cheese audience skews more female with an average age of 35.6, and over-indexes on personality traits such as Indulgence, Convenience Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Blue cheese fan in United States is more female, around 35.6 years old, with strong Indulgence tendencies and a notable affinity for Eating.
The key figures that characterise the Blue cheese profile in United States.
61.9% are female, 38.1% are male, average age 35.6.
| Metric | Value |
|---|---|
| Female | 61.9% |
| Male | 38.1% |
| Average age | 35.6 |
| Estimated audience size | 619,743 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 31% | |
| 20-29 | 19% | |
| 30-39 | 17% | |
| 40-49 | 18% | |
| 50+ | 15% |
of the worldwide Blue cheese audience comes from United States.
| Country | Share |
|---|---|
| United States | 21.1% |
| Japan | 5.1% |
| United Kingdom | 4.8% |
Where the Blue cheese audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Texas | ~60K | 1.21× | |
| 02 | California | ~80K | 1.15× | |
| 03 | New York | ~40K | 1.11× | |
| 04 | Oklahoma | ~8K | 1.11× | |
| 05 | Illinois | ~20K | 1.09× | |
| 06 | Nevada | ~7K | 1.09× | |
| 07 | Georgia | ~20K | 1.08× | |
| 08 | Arkansas | ~6K | 1.08× | |
| 09 | Louisiana | ~9K | 1.07× | |
| 10 | Arizona | ~10K | 1.06× | |
| 11 | Kansas | ~5K | 1.06× | |
| 12 | Connecticut | ~7K | 1.05× | |
| 13 | Nebraska | ~3K | 1.05× | |
| 14 | West Virginia | ~3K | 1.05× | |
| 15 | Pennsylvania | ~20K | 1.04× | |
| 16 | Indiana | ~10K | 1.04× | |
| 17 | Kentucky | ~8K | 1.04× | |
| 18 | Mississippi | ~5K | 1.04× | |
| 19 | Alaska | ~1K | 1.04× | |
| 20 | North Carolina | ~20K | 1.03× | |
| 21 | New Jersey | ~20K | 1.03× | |
| 22 | Washington | ~10K | 1.02× | |
| 23 | Iowa | ~5K | 1.02× | |
| 24 | New Mexico | ~3K | 1.02× | |
| 25 | Florida | ~40K | 1.01× | |
| 26 | Tennessee | ~10K | 1.01× | |
| 27 | Virginia | ~20K | 1.00× | |
| 28 | Maryland | ~10K | 1.00× | |
| 29 | Missouri | ~10K | 1.00× | |
| 30 | Michigan | ~20K | 0.99× | |
| 31 | Massachusetts | ~10K | 0.99× | |
| 32 | Wisconsin | ~9K | 0.98× | |
| 33 | Alabama | ~8K | 0.98× | |
| 34 | Utah | ~5K | 0.98× | |
| 35 | Hawaii | ~3K | 0.98× | |
| 36 | North Dakota | ~1K | 0.98× | |
| 37 | Ohio | ~20K | 0.97× | |
| 38 | South Carolina | ~9K | 0.97× | |
| 39 | Oregon | ~7K | 0.96× | |
| 40 | Idaho | ~3K | 0.96× | |
| 41 | South Dakota | ~1K | 0.96× | |
| 42 | Delaware | ~2K | 0.95× | |
| 43 | Minnesota | ~8K | 0.94× | |
| 44 | Rhode Island | ~2K | 0.94× | |
| 45 | Washington, District of Columbia | ~2K | 0.90× | |
| 46 | Maine | ~2K | 0.89× | |
| 47 | Colorado | ~9K | 0.88× | |
| 48 | New Hampshire | ~2K | 0.88× | |
| 49 | Montana | ~1K | 0.86× | |
| 50 | Vermont | <1K | 0.85× |
The strongest cross-interests of the Blue cheese audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Ranch dressing | Food & Beverages | 6.59× | ||
| 02 | Cook Out (restaurant) | Food & Beverages | 5.19× | ||
| 03 | Salad | Food & Beverages | 2.49× | ||
| 04 | Flavor | Food & Beverages | 2.45× | ||
| 05 | Panera Bread | Food & Beverages | 2.12× | ||
| 06 | Doordash | Food & Beverages | 2.05× | ||
| 07 | Flatline | Technology & Electronics | 1.97× | ||
| 08 | Take-out | Food & Beverages | 1.96× | ||
| 09 | Eating | Food & Beverages | 1.95× | ||
| 10 | Dish (food) | Food & Beverages | 1.86× | ||
| 11 | Buffalo Wild Wings | Food & Beverages | 1.83× | ||
| 12 | Lunch | Food & Beverages | 1.79× | ||
| 13 | Chipotle Mexican Grill | Food & Beverages | 1.77× | ||
| 14 | Kroger | Food & Beverages | 1.69× | ||
| 15 | Cheese | Food & Beverages | 1.68× | ||
| 16 | Trader Joe's | Shopping | 1.62× | ||
| 17 | Culinary art | Arts & Culture | 1.58× | ||
| 18 | Cuisine | Food & Beverages | 1.53× | ||
| 19 | Alcoholic beverages | Food & Beverages | 1.51× | ||
| 20 | Pizza Hut | Food & Beverages | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 1.64× | |
| Convenience Orientation | PREMIUM | 1.32× | |
| Career Orientation | POWER | 1.28× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Mindfulness | BALANCE | 0.95× | |
| Early Adopter Mentality | POWER | 0.96× | |
| Extroversion | THRILL | 0.98× |
Blue cheese has an estimated audience of 619,743 people in United States, concentrated in California and Texas.
61.9% of Blue cheese fans are female, 38.1% are male, with an average age of 35.6 years.
Blue cheese fans show strongest brand affinity for Eating (1.95×), Alcoholic beverages (1.51×), and Cuisine (1.53×) over the country average.
Blue cheese fans in United States are most concentrated in California (reach ~80K), Texas (reach ~60K), and Florida (reach ~40K). These three regions account for the largest share of the active audience.
Beyond Blue cheese itself, the audience over-indexes on Alcoholic beverages (1.51×), Cuisine (1.53×), Flavor (2.45×), and Doordash (2.05×) 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 Blue cheese. 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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