A data profile of the people who buy, follow and care about Dinner in United States — modelled from more than twelve digital signal sources. Dinner has an estimated audience of 45,591,565 people in United States.
The average Dinner fan in United States is 43.4 years old, more female, and lives primarily in New York.
The audience is concentrated in New York, California, New Jersey.
Top brand affinities include Lunch, Recipes, Local food, with strongest over-indexing on Lunch (2.37× the country average).
Demographically, the Dinner audience skews more female with an average age of 43.4, 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 Dinner fan in United States is more female, around 43.4 years old, with strong Indulgence tendencies and a notable affinity for Lunch.
The key figures that characterise the Dinner profile in United States.
63.5% are female, 36.5% are male, average age 43.4.
| Metric | Value |
|---|---|
| Female | 63.5% |
| Male | 36.5% |
| Average age | 43.4 |
| Estimated audience size | 45,591,565 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 12% | |
| 20-29 | 16% | |
| 30-39 | 19% | |
| 40-49 | 23% | |
| 50+ | 30% |
of the worldwide Dinner audience comes from United States.
| Country | Share |
|---|---|
| United States | 19.1% |
| Japan | 8.2% |
| China | 6.0% |
Where the Dinner audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | New York | ~6.5M | 2.62× | |
| 02 | Vermont | ~200K | 2.24× | |
| 03 | New Jersey | ~2.5M | 2.18× | |
| 04 | Hawaii | ~400K | 2.18× | |
| 05 | Maine | ~300K | 2.13× | |
| 06 | Connecticut | ~800K | 1.71× | |
| 07 | Washington, District of Columbia | ~200K | 1.58× | |
| 08 | Pennsylvania | ~2M | 1.37× | |
| 09 | Colorado | ~1M | 1.33× | |
| 10 | Oregon | ~700K | 1.33× | |
| 11 | Massachusetts | ~1M | 1.32× | |
| 12 | New Hampshire | ~200K | 1.29× | |
| 13 | Montana | ~200K | 1.25× | |
| 14 | Wyoming | ~80K | 1.25× | |
| 15 | Washington | ~1M | 1.23× | |
| 16 | California | ~5.5M | 1.14× | |
| 17 | Rhode Island | ~200K | 1.07× | |
| 18 | Alaska | ~100K | 1.05× | |
| 19 | Delaware | ~100K | 1.03× | |
| 20 | Utah | ~400K | 0.99× | |
| 21 | Idaho | ~200K | 0.92× | |
| 22 | Ohio | ~1M | 0.87× | |
| 23 | Virginia | ~1M | 0.87× | |
| 24 | Tennessee | ~800K | 0.86× | |
| 25 | North Carolina | ~1M | 0.83× | |
| 26 | New Mexico | ~200K | 0.83× | |
| 27 | Maryland | ~600K | 0.82× | |
| 28 | Nevada | ~400K | 0.82× | |
| 29 | Illinois | ~1M | 0.81× | |
| 30 | Arizona | ~700K | 0.77× | |
| 31 | Florida | ~2.5M | 0.74× | |
| 32 | South Carolina | ~500K | 0.72× | |
| 33 | Wisconsin | ~500K | 0.71× | |
| 34 | Missouri | ~500K | 0.70× | |
| 35 | Michigan | ~800K | 0.69× | |
| 36 | Kansas | ~200K | 0.66× | |
| 37 | Texas | ~2.5M | 0.64× | |
| 38 | Minnesota | ~400K | 0.61× | |
| 39 | Oklahoma | ~300K | 0.61× | |
| 40 | Georgia | ~800K | 0.59× | |
| 41 | Indiana | ~500K | 0.59× | |
| 42 | Arkansas | ~200K | 0.57× | |
| 43 | Nebraska | ~100K | 0.56× | |
| 44 | West Virginia | ~100K | 0.56× | |
| 45 | South Dakota | ~60K | 0.56× | |
| 46 | Louisiana | ~300K | 0.55× | |
| 47 | Kentucky | ~300K | 0.55× | |
| 48 | Iowa | ~200K | 0.52× | |
| 49 | Alabama | ~300K | 0.50× | |
| 50 | Mississippi | ~100K | 0.39× |
The strongest cross-interests of the Dinner audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Lunch | Food & Beverages | 2.37× | ||
| 02 | Local food | Food & Beverages | 2.32× | ||
| 03 | Cookbook | Food & Beverages | 2.02× | ||
| 04 | Foodie | Food & Beverages | 1.86× | ||
| 05 | Dish (food) | Food & Beverages | 1.84× | ||
| 06 | Breakfast | Food & Beverages | 1.81× | ||
| 07 | Texas Roadhouse | Food & Beverages | 1.79× | ||
| 08 | Burger King | Food & Beverages | 1.67× | ||
| 09 | Take-out | Food & Beverages | 1.66× | ||
| 10 | Healthy diet | Health | 1.64× | ||
| 11 | Aldi | Shopping | 1.62× | ||
| 12 | Culinary art | Arts & Culture | 1.62× | ||
| 13 | Eating | Food & Beverages | 1.56× | ||
| 14 | Cake | Food & Beverages | 1.56× | ||
| 15 | Weight loss (Fitness And wellness) | Health | 1.56× | ||
| 16 | Kohl's | Shopping | 1.53× | ||
| 17 | Recipes | Food & Beverages | 1.52× | ||
| 18 | McDonald's | Food & Beverages | 1.51× | ||
| 19 | Desserts | Food & Beverages | 1.51× | ||
| 20 | Organic food | 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 | 1.75× | |
| Convenience Orientation | PREMIUM | 1.40× | |
| Design Affinity | PREMIUM | 1.32× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.76× | |
| Need for Security | CONSERVATISM | 0.95× | |
| Mindfulness | BALANCE | 1.00× |
Dinner has an estimated audience of 45,591,565 people in United States, concentrated in New York and California.
63.5% of Dinner fans are female, 36.5% are male, with an average age of 43.4 years.
Dinner fans show strongest brand affinity for Lunch (2.37×), Recipes (1.52×), and Local food (2.32×) over the country average.
Dinner fans in United States are most concentrated in New York (reach ~6.5M), California (reach ~5.5M), and New Jersey (reach ~2.5M). These three regions account for the largest share of the active audience.
Beyond Dinner itself, the audience over-indexes on Recipes (1.52×), Local food (2.32×), Texas Roadhouse (1.79×), and Eating (1.56×) 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 Dinner. 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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