A data profile of the people who buy, follow and care about Online food ordering in United States — modelled from more than twelve digital signal sources. Online food ordering has an estimated audience of 19,475,950 people in United States.
The average Online food ordering fan in United States is 36.9 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include O'Reilly Auto Parts, Take-out, Delivery order, with strongest over-indexing on O'Reilly Auto Parts (4.92× the country average).
Demographically, the Online food ordering audience skews balanced with an average age of 36.9, and over-indexes on personality traits such as Indulgence, Design Affinity.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Online food ordering fan in United States is balanced, around 36.9 years old, with strong Indulgence tendencies and a notable affinity for O'Reilly Auto Parts.
The key figures that characterise the Online food ordering profile in United States.
54.7% are female, 45.3% are male, average age 36.9.
| Metric | Value |
|---|---|
| Female | 54.7% |
| Male | 45.3% |
| Average age | 36.9 |
| Estimated audience size | 19,475,950 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 27% | |
| 20-29 | 20% | |
| 30-39 | 18% | |
| 40-49 | 17% | |
| 50+ | 18% |
Where the Online food ordering audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Vermont | ~40K | 1.16× | |
| 02 | North Carolina | ~700K | 1.15× | |
| 03 | Alaska | ~50K | 1.15× | |
| 04 | North Dakota | ~50K | 1.15× | |
| 05 | Kansas | ~200K | 1.13× | |
| 06 | South Dakota | ~50K | 1.11× | |
| 07 | New York | ~1M | 1.10× | |
| 08 | Georgia | ~700K | 1.10× | |
| 09 | Montana | ~60K | 1.08× | |
| 10 | Colorado | ~300K | 1.06× | |
| 11 | Massachusetts | ~400K | 1.05× | |
| 12 | Oklahoma | ~200K | 1.04× | |
| 13 | Kentucky | ~300K | 1.03× | |
| 14 | Arkansas | ~200K | 1.03× | |
| 15 | Wisconsin | ~300K | 1.02× | |
| 16 | Delaware | ~50K | 1.02× | |
| 17 | Illinois | ~700K | 1.01× | |
| 18 | Louisiana | ~300K | 1.01× | |
| 19 | New Mexico | ~100K | 1.01× | |
| 20 | New Hampshire | ~80K | 1.01× | |
| 21 | Nebraska | ~100K | 1.00× | |
| 22 | Hawaii | ~80K | 1.00× | |
| 23 | Rhode Island | ~60K | 1.00× | |
| 24 | West Virginia | ~90K | 0.99× | |
| 25 | Pennsylvania | ~600K | 0.98× | |
| 26 | Indiana | ~300K | 0.98× | |
| 27 | Mississippi | ~200K | 0.98× | |
| 28 | Maine | ~70K | 0.97× | |
| 29 | Michigan | ~500K | 0.96× | |
| 30 | Maryland | ~300K | 0.96× | |
| 31 | South Carolina | ~300K | 0.96× | |
| 32 | Idaho | ~90K | 0.96× | |
| 33 | Washington, District of Columbia | ~60K | 0.96× | |
| 34 | Iowa | ~200K | 0.95× | |
| 35 | Missouri | ~300K | 0.94× | |
| 36 | Alabama | ~300K | 0.94× | |
| 37 | Oregon | ~200K | 0.94× | |
| 38 | Virginia | ~400K | 0.93× | |
| 39 | Washington | ~400K | 0.93× | |
| 40 | Tennessee | ~400K | 0.93× | |
| 41 | Ohio | ~600K | 0.92× | |
| 42 | Nevada | ~200K | 0.92× | |
| 43 | Texas | ~1.5M | 0.89× | |
| 44 | Arizona | ~400K | 0.89× | |
| 45 | Connecticut | ~200K | 0.88× | |
| 46 | Utah | ~200K | 0.88× | |
| 47 | New Jersey | ~400K | 0.87× | |
| 48 | Minnesota | ~200K | 0.87× | |
| 49 | California | ~1.5M | 0.80× | |
| 50 | Florida | ~1M | 0.74× |
The strongest cross-interests of the Online food ordering audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Blue Apron | Shopping | 13.14× | ||
| 02 | Delivery order | Food & Beverages | 8.00× | ||
| 03 | Fifth Third Bank | Business & Career | 5.58× | ||
| 04 | GrubHub | Food & Beverages | 5.12× | ||
| 05 | O'Reilly Auto Parts | Cars & Mobility | 4.92× | ||
| 06 | Red wine | Food & Beverages | 4.91× | ||
| 07 | Initial public offering | Business & Career | 4.27× | ||
| 08 | Take-out | Food & Beverages | 3.84× | ||
| 09 | Local food | Food & Beverages | 3.05× | ||
| 10 | Trader Joe's | Shopping | 2.67× | ||
| 11 | Organic farming | Food & Beverages | 2.59× | ||
| 12 | In-N-Out Burger | Food & Beverages | 2.28× | ||
| 13 | Culinary art | Arts & Culture | 2.22× | ||
| 14 | AutoZone | Cars & Mobility | 2.19× | ||
| 15 | Oven | Home & Garden | 2.14× | ||
| 16 | Whole Foods Market | Shopping | 2.01× | ||
| 17 | Dollar Tree | Shopping | 2.01× | ||
| 18 | Hobby Lobby | Home & Garden | 1.85× | ||
| 19 | Old Navy | Fashion & Accessoires | 1.85× | ||
| 20 | Aldi | Shopping | 1.76× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 2.11× | |
| Design Affinity | PREMIUM | 1.86× | |
| Quality Awareness | PREMIUM | 1.80× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.70× | |
| Need for Security | CONSERVATISM | 0.87× | |
| Price Sensitivity | PREMIUM | 1.00× |
Online food ordering has an estimated audience of 19,475,950 people in United States, concentrated in California and Texas.
54.7% of Online food ordering fans are female, 45.3% are male, with an average age of 36.9 years.
Online food ordering fans show strongest brand affinity for O'Reilly Auto Parts (4.92×), Take-out (3.84×), and Delivery order (8×) over the country average.
Online food ordering fans in United States are most concentrated in California (reach ~1.5M), Texas (reach ~1.5M), and New York (reach ~1M). These three regions account for the largest share of the active audience.
Beyond Online food ordering itself, the audience over-indexes on Take-out (3.84×), Delivery order (8×), Trader Joe's (2.67×), and Initial public offering (4.27×) 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 Online food ordering. 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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