A data profile of the people who buy, follow and care about Gluten in United States — modelled from more than twelve digital signal sources. Gluten has an estimated audience of 9,492,176 people in United States.
The average Gluten fan in United States is 43.1 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Cereal, Flour, Virus, with strongest over-indexing on Cereal (5.12× the country average).
Demographically, the Gluten audience skews more female with an average age of 43.1, and over-indexes on personality traits such as Healthy Lifestyle, Convenience Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Gluten fan in United States is more female, around 43.1 years old, with strong Healthy Lifestyle tendencies and a notable affinity for Cereal.
The key figures that characterise the Gluten profile in United States.
74.3% are female, 25.7% are male, average age 43.1.
| Metric | Value |
|---|---|
| Female | 74.3% |
| Male | 25.7% |
| Average age | 43.1 |
| Estimated audience size | 9,492,176 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 10% | |
| 20-29 | 17% | |
| 30-39 | 20% | |
| 40-49 | 25% | |
| 50+ | 27% |
Where the Gluten audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hawaii | ~60K | 1.36× | |
| 02 | California | ~1M | 1.16× | |
| 03 | Louisiana | ~100K | 1.16× | |
| 04 | Florida | ~700K | 1.13× | |
| 05 | Alaska | ~20K | 1.09× | |
| 06 | New York | ~600K | 1.08× | |
| 07 | Massachusetts | ~200K | 1.08× | |
| 08 | Georgia | ~300K | 1.07× | |
| 09 | Texas | ~900K | 1.06× | |
| 10 | Arkansas | ~80K | 1.06× | |
| 11 | Virginia | ~200K | 1.05× | |
| 12 | Mississippi | ~80K | 1.05× | |
| 13 | Washington | ~200K | 1.04× | |
| 14 | North Carolina | ~300K | 1.03× | |
| 15 | Tennessee | ~200K | 1.03× | |
| 16 | Alabama | ~100K | 1.03× | |
| 17 | Oklahoma | ~100K | 1.03× | |
| 18 | Illinois | ~300K | 1.02× | |
| 19 | Arizona | ~200K | 1.02× | |
| 20 | Maryland | ~200K | 1.02× | |
| 21 | Minnesota | ~100K | 1.00× | |
| 22 | Connecticut | ~100K | 1.00× | |
| 23 | Nevada | ~90K | 1.00× | |
| 24 | New Mexico | ~50K | 1.00× | |
| 25 | Pennsylvania | ~300K | 0.99× | |
| 26 | New Jersey | ~200K | 0.99× | |
| 27 | Missouri | ~200K | 0.99× | |
| 28 | Kentucky | ~100K | 0.99× | |
| 29 | Nebraska | ~50K | 0.99× | |
| 30 | South Carolina | ~100K | 0.98× | |
| 31 | Maine | ~30K | 0.98× | |
| 32 | Michigan | ~200K | 0.97× | |
| 33 | Indiana | ~200K | 0.97× | |
| 34 | Oregon | ~100K | 0.97× | |
| 35 | South Dakota | ~20K | 0.97× | |
| 36 | Ohio | ~300K | 0.96× | |
| 37 | Kansas | ~70K | 0.96× | |
| 38 | Rhode Island | ~30K | 0.96× | |
| 39 | Iowa | ~70K | 0.95× | |
| 40 | West Virginia | ~40K | 0.95× | |
| 41 | Idaho | ~40K | 0.93× | |
| 42 | New Hampshire | ~30K | 0.93× | |
| 43 | Washington, District of Columbia | ~30K | 0.93× | |
| 44 | Wisconsin | ~100K | 0.91× | |
| 45 | Utah | ~80K | 0.91× | |
| 46 | Montana | ~20K | 0.91× | |
| 47 | Vermont | ~20K | 0.91× | |
| 48 | Delaware | ~20K | 0.90× | |
| 49 | North Dakota | ~20K | 0.90× | |
| 50 | Colorado | ~100K | 0.88× |
The strongest cross-interests of the Gluten audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Apple cider vinegar | Food & Beverages | 5.93× | ||
| 02 | Cereal | Food & Beverages | 5.12× | ||
| 03 | Flour | Food & Beverages | 3.93× | ||
| 04 | Virus | Health | 3.62× | ||
| 05 | Sweetness | Food & Beverages | 3.43× | ||
| 06 | Nut (fruit) | Food & Beverages | 3.38× | ||
| 07 | Metabolism | Health | 2.83× | ||
| 08 | Sugar | Food & Beverages | 2.76× | ||
| 09 | Milk | Food & Beverages | 2.59× | ||
| 10 | Dish (food) | Food & Beverages | 2.58× | ||
| 11 | Nutrient | Food & Beverages | 2.38× | ||
| 12 | Ethics | Business & Career | 2.31× | ||
| 13 | Fruit | Food & Beverages | 2.06× | ||
| 14 | Trader Joe's | Shopping | 1.98× | ||
| 15 | Energy | Home & Garden | 1.88× | ||
| 16 | Mammal | Pets & Animals | 1.83× | ||
| 17 | Eating | Food & Beverages | 1.75× | ||
| 18 | Water | Food & Beverages | 1.66× | ||
| 19 | Medicine | Business & Career | 1.60× | ||
| 20 | Child | Kids & Family | 1.50× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Healthy Lifestyle | BALANCE | 1.74× | |
| Convenience Orientation | PREMIUM | 1.60× | |
| Creativity | OPEN | 1.42× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Luxury Orientation | PREMIUM | 0.86× | |
| Patriotism | CONSERVATISM | 0.98× | |
| DIY Mentality | THRILL | 0.99× |
Gluten has an estimated audience of 9,492,176 people in United States, concentrated in California and Texas.
74.3% of Gluten fans are female, 25.7% are male, with an average age of 43.1 years.
Gluten fans show strongest brand affinity for Cereal (5.12×), Flour (3.93×), and Virus (3.62×) over the country average.
Gluten fans in United States are most concentrated in California (reach ~1M), Texas (reach ~900K), and Florida (reach ~700K). These three regions account for the largest share of the active audience.
Beyond Gluten itself, the audience over-indexes on Flour (3.93×), Virus (3.62×), Sugar (2.76×), and Nutrient (2.38×) 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 Gluten. 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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.