A data profile of the people who buy, follow and care about Fast food restaurants in United States — modelled from more than twelve digital signal sources. Fast food restaurants has an estimated audience of 28,310,950 people in United States.
The average Fast food restaurants fan in United States is 40.6 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Burger King, Texas Roadhouse, LongHorn Steakhouse, with strongest over-indexing on Burger King (3.51× the country average).
Demographically, the Fast food restaurants audience skews more female with an average age of 40.6, and over-indexes on personality traits such as Indulgence, Luxury Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Fast food restaurants fan in United States is more female, around 40.6 years old, with strong Indulgence tendencies and a notable affinity for Burger King.
The key figures that characterise the Fast food restaurants profile in United States.
55.8% are female, 44.2% are male, average age 40.6.
| Metric | Value |
|---|---|
| Female | 55.8% |
| Male | 44.2% |
| Average age | 40.6 |
| Estimated audience size | 28,310,950 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 16% | |
| 20-29 | 20% | |
| 30-39 | 20% | |
| 40-49 | 21% | |
| 50+ | 24% |
Where the Fast food restaurants audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Wyoming | ~80K | 1.99× | |
| 02 | New Mexico | ~200K | 1.35× | |
| 03 | Kansas | ~300K | 1.26× | |
| 04 | South Dakota | ~80K | 1.25× | |
| 05 | Delaware | ~100K | 1.24× | |
| 06 | Montana | ~100K | 1.23× | |
| 07 | Iowa | ~300K | 1.19× | |
| 08 | South Carolina | ~500K | 1.16× | |
| 09 | Mississippi | ~300K | 1.16× | |
| 10 | Arkansas | ~300K | 1.15× | |
| 11 | Texas | ~3M | 1.14× | |
| 12 | Missouri | ~500K | 1.13× | |
| 13 | Colorado | ~500K | 1.13× | |
| 14 | Nebraska | ~200K | 1.13× | |
| 15 | Oklahoma | ~400K | 1.12× | |
| 16 | Tennessee | ~600K | 1.10× | |
| 17 | Alabama | ~400K | 1.10× | |
| 18 | North Carolina | ~900K | 1.08× | |
| 19 | Georgia | ~900K | 1.07× | |
| 20 | Indiana | ~600K | 1.07× | |
| 21 | Oregon | ~300K | 1.07× | |
| 22 | Nevada | ~300K | 1.07× | |
| 23 | Minnesota | ~400K | 1.04× | |
| 24 | Kentucky | ~400K | 1.03× | |
| 25 | Utah | ~300K | 1.03× | |
| 26 | Florida | ~2M | 1.02× | |
| 27 | Virginia | ~700K | 1.02× | |
| 28 | Louisiana | ~400K | 1.01× | |
| 29 | Wisconsin | ~400K | 0.99× | |
| 30 | North Dakota | ~60K | 0.99× | |
| 31 | Arizona | ~600K | 0.97× | |
| 32 | West Virginia | ~100K | 0.97× | |
| 33 | Ohio | ~800K | 0.96× | |
| 34 | Idaho | ~100K | 0.96× | |
| 35 | California | ~3M | 0.95× | |
| 36 | Illinois | ~900K | 0.95× | |
| 37 | Michigan | ~700K | 0.90× | |
| 38 | Washington | ~500K | 0.85× | |
| 39 | Maryland | ~400K | 0.83× | |
| 40 | Pennsylvania | ~700K | 0.78× | |
| 41 | Hawaii | ~100K | 0.78× | |
| 42 | Alaska | ~50K | 0.78× | |
| 43 | Connecticut | ~200K | 0.77× | |
| 44 | New Hampshire | ~80K | 0.76× | |
| 45 | Washington, District of Columbia | ~60K | 0.76× | |
| 46 | Maine | ~70K | 0.70× | |
| 47 | New York | ~1M | 0.69× | |
| 48 | New Jersey | ~500K | 0.68× | |
| 49 | Massachusetts | ~400K | 0.66× | |
| 50 | Rhode Island | ~50K | 0.59× |
The strongest cross-interests of the Fast food restaurants audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | LongHorn Steakhouse | Food & Beverages | 4.78× | ||
| 02 | The Cheesecake Factory | Food & Beverages | 4.31× | ||
| 03 | Popeyes Louisiana Kitchen | Food & Beverages | 3.59× | ||
| 04 | Burger King | Food & Beverages | 3.51× | ||
| 05 | Natural skin care | Beauty & Wellness | 3.43× | ||
| 06 | Chipotle Mexican Grill | Food & Beverages | 3.41× | ||
| 07 | Fast casual restaurants | Food & Beverages | 3.36× | ||
| 08 | Jack in the Box | Food & Beverages | 3.31× | ||
| 09 | Texas Roadhouse | Food & Beverages | 3.28× | ||
| 10 | Olive Garden | Food & Beverages | 3.25× | ||
| 11 | Buffalo Wild Wings | Food & Beverages | 3.20× | ||
| 12 | KFC | Food & Beverages | 3.00× | ||
| 13 | IKEA | Home & Garden | 2.49× | ||
| 14 | In-N-Out Burger | Food & Beverages | 2.48× | ||
| 15 | Healthy diet | Health | 2.36× | ||
| 16 | Foodie | Food & Beverages | 2.32× | ||
| 17 | Chick-fil-A | Food & Beverages | 2.22× | ||
| 18 | Taco Bell | Food & Beverages | 2.16× | ||
| 19 | Fast food | Food & Beverages | 2.13× | ||
| 20 | McDonald's | Food & Beverages | 1.95× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 1.63× | |
| Luxury Orientation | PREMIUM | 1.50× | |
| Sports Activity | POWER | 1.45× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 0.58× | |
| Tradition | CONSERVATISM | 0.61× | |
| Patriotism | CONSERVATISM | 0.61× |
Fast food restaurants has an estimated audience of 28,310,950 people in United States, concentrated in California and Texas.
55.8% of Fast food restaurants fans are female, 44.2% are male, with an average age of 40.6 years.
Fast food restaurants fans show strongest brand affinity for Burger King (3.51×), Texas Roadhouse (3.28×), and LongHorn Steakhouse (4.78×) over the country average.
Fast food restaurants fans in United States are most concentrated in California (reach ~3M), Texas (reach ~3M), and Florida (reach ~2M). These three regions account for the largest share of the active audience.
Beyond Fast food restaurants itself, the audience over-indexes on Texas Roadhouse (3.28×), LongHorn Steakhouse (4.78×), Popeyes Louisiana Kitchen (3.59×), and Chipotle Mexican Grill (3.41×) 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 Fast food restaurants. 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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