A data profile of the people who buy, follow and care about food porn in United States — modelled from more than twelve digital signal sources. food porn has an estimated audience of 1,709,812 people in United States.
food porn has an estimated audience of 1,709,812 people in United States. 50.4% are female, 49.6% are male, average age 32.2. Top brand affinities: TikTok, Wingstop, Ultimate Fighting Championship, Street food, Little Caesars.
Top brand affinities include TikTok, Wingstop, Ultimate Fighting Championship, with strongest over-indexing on TikTok (1.6× the country average).
Demographically, the food porn audience skews balanced with an average age of 32.2, and over-indexes on personality traits such as Healthy Lifestyle, Indulgence.
The typical food porn fan in United States is balanced, around 32.2 years old, with strong Healthy Lifestyle tendencies and a notable affinity for TikTok.
The key figures that characterise the food porn profile in United States.
50.4% are female, 49.6% are male, average age 32.2.
| Metric | Value |
|---|---|
| Female | 50.4% |
| Male | 49.6% |
| Average age | 32.2 |
| Estimated audience size | 1,709,812 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 39% | |
| 20-29 | 23% | |
| 30-39 | 15% | |
| 40-49 | 12% | |
| 50+ | 11% |
The strongest cross-interests of the food porn audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Indian fast food | Food & Beverages | 10.68× | ||
| 02 | Slow Food | Food & Beverages | 7.75× | ||
| 03 | Street food | Food & Beverages | 2.90× | ||
| 04 | Dump truck | Cars & Mobility | 2.58× | ||
| 05 | Creative Commons | Technology & Electronics | 2.55× | ||
| 06 | Little Caesars | Food & Beverages | 2.36× | ||
| 07 | Wingstop | Food & Beverages | 2.24× | ||
| 08 | Online newspaper | News | 2.19× | ||
| 09 | Video hosting service | Technology & Electronics | 2.18× | ||
| 10 | Ultimate Fighting Championship | Sports | 2.15× | ||
| 11 | Popeyes Louisiana Kitchen | Food & Beverages | 2.01× | ||
| 12 | Mixed martial arts | Sports | 1.93× | ||
| 13 | ESPN | Movies & TV | 1.77× | ||
| 14 | Wikipedia | Internet & Social Media | 1.72× | ||
| 15 | Domino's Pizza | Food & Beverages | 1.69× | ||
| 16 | Stand-up comedy | Movies & TV | 1.64× | ||
| 17 | Nutrient | Food & Beverages | 1.63× | ||
| 18 | AutoZone | Cars & Mobility | 1.63× | ||
| 19 | TikTok | Internet & Social Media | 1.60× | ||
| 20 | Meat | Food & Beverages | 1.53× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Healthy Lifestyle | BALANCE | 1.78× | |
| Indulgence | JOY | 1.56× | |
| Urban Lifestyle | OPEN | 1.55× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 0.91× | |
| Community Orientation | OPEN | 0.95× | |
| Mindfulness | BALANCE | 0.99× |
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 food porn. 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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