A data profile of the people who buy, follow and care about Beef in United States — modelled from more than twelve digital signal sources. Beef has an estimated audience of 31,598,984 people in United States.
The average Beef fan in United States is 40.8 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Meat, Grilling, Texas Roadhouse, with strongest over-indexing on Meat (1.75× the country average).
Demographically, the Beef audience skews balanced with an average age of 40.8, and over-indexes on personality traits such as Indulgence, Patriotism.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Beef fan in United States is balanced, around 40.8 years old, with strong Indulgence tendencies and a notable affinity for Meat.
The key figures that characterise the Beef profile in United States.
49.5% are female, 50.5% are male, average age 40.8.
| Metric | Value |
|---|---|
| Female | 49.5% |
| Male | 50.5% |
| Average age | 40.8 |
| Estimated audience size | 31,598,984 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 18% | |
| 20-29 | 17% | |
| 30-39 | 18% | |
| 40-49 | 21% | |
| 50+ | 25% |
Where the Beef audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Massachusetts | ~1M | 1.59× | |
| 02 | Arizona | ~900K | 1.47× | |
| 03 | New York | ~2.5M | 1.28× | |
| 04 | California | ~4.5M | 1.27× | |
| 05 | Florida | ~2.5M | 1.23× | |
| 06 | Washington | ~700K | 1.18× | |
| 07 | Texas | ~3M | 1.15× | |
| 08 | Hawaii | ~200K | 1.14× | |
| 09 | Oregon | ~400K | 1.13× | |
| 10 | Kentucky | ~400K | 1.12× | |
| 11 | Illinois | ~1M | 1.08× | |
| 12 | Virginia | ~800K | 1.07× | |
| 13 | New Jersey | ~800K | 1.05× | |
| 14 | Oklahoma | ~400K | 1.05× | |
| 15 | Georgia | ~1M | 1.04× | |
| 16 | South Dakota | ~80K | 1.04× | |
| 17 | Alaska | ~70K | 1.02× | |
| 18 | Minnesota | ~500K | 1.01× | |
| 19 | Alabama | ~400K | 1.01× | |
| 20 | Connecticut | ~300K | 1.01× | |
| 21 | Nebraska | ~200K | 1.01× | |
| 22 | Maryland | ~500K | 1.00× | |
| 23 | Indiana | ~600K | 0.99× | |
| 24 | Kansas | ~200K | 0.99× | |
| 25 | Pennsylvania | ~1M | 0.98× | |
| 26 | North Carolina | ~900K | 0.98× | |
| 27 | Colorado | ~500K | 0.98× | |
| 28 | Nevada | ~300K | 0.98× | |
| 29 | Rhode Island | ~100K | 0.97× | |
| 30 | Washington, District of Columbia | ~90K | 0.97× | |
| 31 | Arkansas | ~300K | 0.96× | |
| 32 | New Mexico | ~200K | 0.96× | |
| 33 | Idaho | ~200K | 0.95× | |
| 34 | Missouri | ~500K | 0.94× | |
| 35 | Utah | ~300K | 0.94× | |
| 36 | Michigan | ~800K | 0.93× | |
| 37 | South Carolina | ~400K | 0.92× | |
| 38 | Montana | ~80K | 0.92× | |
| 39 | Vermont | ~50K | 0.92× | |
| 40 | Wisconsin | ~400K | 0.90× | |
| 41 | Louisiana | ~400K | 0.90× | |
| 42 | Tennessee | ~600K | 0.89× | |
| 43 | Iowa | ~200K | 0.88× | |
| 44 | Maine | ~100K | 0.88× | |
| 45 | New Hampshire | ~100K | 0.87× | |
| 46 | Ohio | ~800K | 0.85× | |
| 47 | Delaware | ~70K | 0.85× | |
| 48 | North Dakota | ~50K | 0.83× | |
| 49 | West Virginia | ~100K | 0.78× | |
| 50 | Mississippi | ~200K | 0.77× |
The strongest cross-interests of the Beef audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Smoked meat | Food & Beverages | 3.67× | ||
| 02 | Outback Steakhouse | Food & Beverages | 2.38× | ||
| 03 | Real property | Home & Garden | 2.13× | ||
| 04 | Steakhouse | Food & Beverages | 2.08× | ||
| 05 | Otaku | Literature | 2.06× | ||
| 06 | Street food | Food & Beverages | 1.99× | ||
| 07 | Piano | Music & Radio | 1.79× | ||
| 08 | Meat | Food & Beverages | 1.75× | ||
| 09 | Italian cuisine | Food & Beverages | 1.75× | ||
| 10 | Acoustic guitar | Music & Radio | 1.71× | ||
| 11 | Grilling | Food & Beverages | 1.68× | ||
| 12 | Steak | Food & Beverages | 1.67× | ||
| 13 | Lunch | Food & Beverages | 1.65× | ||
| 14 | Take-out | Food & Beverages | 1.60× | ||
| 15 | Texas Roadhouse | Food & Beverages | 1.59× | ||
| 16 | Electric guitar | Music & Radio | 1.59× | ||
| 17 | Ticketmaster | Travel & Leisure | 1.58× | ||
| 18 | Cookbook | Food & Beverages | 1.58× | ||
| 19 | Swimming pool | Sports | 1.57× | ||
| 20 | Ace Hardware | Home & Garden | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 1.38× | |
| Patriotism | CONSERVATISM | 1.31× | |
| Extroversion | THRILL | 1.24× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Social Media Usage | JOY | 0.85× | |
| Mindfulness | BALANCE | 0.86× | |
| Pet Ownership | JOY | 0.86× |
Beef has an estimated audience of 31,598,984 people in United States, concentrated in California and Texas.
49.5% of Beef fans are female, 50.5% are male, with an average age of 40.8 years.
Beef fans show strongest brand affinity for Meat (1.75×), Grilling (1.68×), and Texas Roadhouse (1.59×) over the country average.
Beef fans in United States are most concentrated in California (reach ~4.5M), Texas (reach ~3M), and Florida (reach ~2.5M). These three regions account for the largest share of the active audience.
Beyond Beef itself, the audience over-indexes on Grilling (1.68×), Texas Roadhouse (1.59×), Real property (2.13×), and Smoked meat (3.67×) 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 Beef. 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.