A data profile of the people who buy, follow and care about Lunch in United States — modelled from more than twelve digital signal sources. Lunch has an estimated audience of 42,269,827 people in United States.
The average Lunch fan in United States is 40.1 years old, more female, and lives primarily in California.
The audience is concentrated in California, New York, Texas.
Top brand affinities include McDonald's, Texas Roadhouse, Local food, with strongest over-indexing on McDonald's (2.72× the country average).
Demographically, the Lunch audience skews more female with an average age of 40.1, and over-indexes on personality traits such as Indulgence, Sustainability.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Lunch fan in United States is more female, around 40.1 years old, with strong Indulgence tendencies and a notable affinity for McDonald's.
The key figures that characterise the Lunch profile in United States.
60.3% are female, 39.7% are male, average age 40.1.
| Metric | Value |
|---|---|
| Female | 60.3% |
| Male | 39.7% |
| Average age | 40.1 |
| Estimated audience size | 42,269,827 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 20% | |
| 20-29 | 18% | |
| 30-39 | 18% | |
| 40-49 | 21% | |
| 50+ | 24% |
of the worldwide Lunch audience comes from United States.
| Country | Share |
|---|---|
| United States | 18.0% |
| Japan | 9.5% |
| China | 7.1% |
Where the Lunch audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Washington, District of Columbia | ~400K | 2.90× | |
| 02 | Hawaii | ~400K | 2.15× | |
| 03 | Vermont | ~200K | 2.09× | |
| 04 | New York | ~4.5M | 1.83× | |
| 05 | Washington | ~1.5M | 1.63× | |
| 06 | Colorado | ~1M | 1.62× | |
| 07 | Massachusetts | ~1.5M | 1.60× | |
| 08 | Maine | ~200K | 1.58× | |
| 09 | Oregon | ~700K | 1.54× | |
| 10 | California | ~6M | 1.34× | |
| 11 | Rhode Island | ~200K | 1.24× | |
| 12 | Montana | ~100K | 1.22× | |
| 13 | New Hampshire | ~200K | 1.09× | |
| 14 | Illinois | ~1.5M | 1.07× | |
| 15 | Virginia | ~1M | 1.04× | |
| 16 | North Carolina | ~1.5M | 1.01× | |
| 17 | Connecticut | ~400K | 0.98× | |
| 18 | Wyoming | ~60K | 0.97× | |
| 19 | Utah | ~400K | 0.95× | |
| 20 | New Jersey | ~1M | 0.94× | |
| 21 | Idaho | ~200K | 0.94× | |
| 22 | South Carolina | ~600K | 0.92× | |
| 23 | Pennsylvania | ~1.5M | 0.90× | |
| 24 | Texas | ~3M | 0.89× | |
| 25 | Arizona | ~800K | 0.89× | |
| 26 | Florida | ~2.5M | 0.85× | |
| 27 | Louisiana | ~400K | 0.82× | |
| 28 | New Mexico | ~200K | 0.82× | |
| 29 | Georgia | ~1M | 0.81× | |
| 30 | Maryland | ~600K | 0.81× | |
| 31 | Missouri | ~500K | 0.81× | |
| 32 | Wisconsin | ~500K | 0.81× | |
| 33 | Nevada | ~300K | 0.81× | |
| 34 | Alaska | ~70K | 0.80× | |
| 35 | Tennessee | ~700K | 0.79× | |
| 36 | Minnesota | ~500K | 0.79× | |
| 37 | Michigan | ~800K | 0.73× | |
| 38 | Kansas | ~200K | 0.72× | |
| 39 | Delaware | ~80K | 0.67× | |
| 40 | Nebraska | ~100K | 0.66× | |
| 41 | Ohio | ~800K | 0.64× | |
| 42 | Oklahoma | ~300K | 0.64× | |
| 43 | Indiana | ~500K | 0.62× | |
| 44 | Arkansas | ~200K | 0.62× | |
| 45 | Kentucky | ~300K | 0.61× | |
| 46 | Alabama | ~300K | 0.57× | |
| 47 | Iowa | ~200K | 0.57× | |
| 48 | South Dakota | ~50K | 0.51× | |
| 49 | Mississippi | ~200K | 0.44× | |
| 50 | West Virginia | ~80K | 0.38× |
The strongest cross-interests of the Lunch audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Luxury yacht | Travel & Leisure | 3.74× | ||
| 02 | Coat (clothing) | Fashion & Accessoires | 3.63× | ||
| 03 | Kitchenware | Home & Garden | 3.14× | ||
| 04 | Local food | Food & Beverages | 2.83× | ||
| 05 | Culver's | Food & Beverages | 2.78× | ||
| 06 | McDonald's | Food & Beverages | 2.72× | ||
| 07 | In-N-Out Burger | Food & Beverages | 2.49× | ||
| 08 | Dinner | Food & Beverages | 2.43× | ||
| 09 | Texas Roadhouse | Food & Beverages | 2.29× | ||
| 10 | Breakfast | Food & Beverages | 2.29× | ||
| 11 | Panda Express | Food & Beverages | 2.24× | ||
| 12 | Burger King | Food & Beverages | 2.19× | ||
| 13 | Literature | Business & Career | 2.02× | ||
| 14 | Veganism | Food & Beverages | 1.93× | ||
| 15 | Fast food | Food & Beverages | 1.89× | ||
| 16 | Dollar Tree | Shopping | 1.88× | ||
| 17 | Chick-fil-A | Food & Beverages | 1.82× | ||
| 18 | Motivation | Business & Career | 1.81× | ||
| 19 | Parties | Music & Radio | 1.68× | ||
| 20 | Target Corporation | Shopping | 1.60× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 2.00× | |
| Sustainability | BALANCE | 1.73× | |
| Convenience Orientation | PREMIUM | 1.68× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.77× | |
| Need for Security | CONSERVATISM | 0.98× | |
| Tradition | CONSERVATISM | 1.04× |
Lunch has an estimated audience of 42,269,827 people in United States, concentrated in California and New York.
60.3% of Lunch fans are female, 39.7% are male, with an average age of 40.1 years.
Lunch fans show strongest brand affinity for McDonald's (2.72×), Texas Roadhouse (2.29×), and Local food (2.83×) over the country average.
Lunch fans in United States are most concentrated in California (reach ~6M), New York (reach ~4.5M), and Texas (reach ~3M). These three regions account for the largest share of the active audience.
Beyond Lunch itself, the audience over-indexes on Texas Roadhouse (2.29×), Local food (2.83×), Kitchenware (3.14×), and In-N-Out Burger (2.49×) 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 Lunch. 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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