A data profile of the people who buy, follow and care about Cooking Fever in United States — modelled from more than twelve digital signal sources. Cooking Fever has an estimated audience of 991,729 people in United States.
The average Cooking Fever fan in United States is 30.4 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Michelle Monaghan, Nothing Bundt Cakes, White Castle (restaurant), with strongest over-indexing on Michelle Monaghan (20× the country average).
Demographically, the Cooking Fever audience skews more female with an average age of 30.4, and over-indexes on personality traits such as Patriotism, Indulgence.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Cooking Fever fan in United States is more female, around 30.4 years old, with strong Patriotism tendencies and a notable affinity for Michelle Monaghan.
The key figures that characterise the Cooking Fever profile in United States.
70.3% are female, 29.7% are male, average age 30.4.
| Metric | Value |
|---|---|
| Female | 70.3% |
| Male | 29.7% |
| Average age | 30.4 |
| Estimated audience size | 991,729 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 46% | |
| 20-29 | 20% | |
| 30-39 | 15% | |
| 40-49 | 11% | |
| 50+ | 8% |
Where the Cooking Fever audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Pennsylvania | ~50K | 1.41× | |
| 02 | Virginia | ~30K | 1.39× | |
| 03 | Texas | ~100K | 1.36× | |
| 04 | Louisiana | ~20K | 1.34× | |
| 05 | Georgia | ~40K | 1.28× | |
| 06 | South Carolina | ~20K | 1.24× | |
| 07 | New York | ~70K | 1.23× | |
| 08 | Mississippi | ~10K | 1.22× | |
| 09 | North Carolina | ~30K | 1.16× | |
| 10 | California | ~100K | 1.14× | |
| 11 | Arkansas | ~9K | 1.14× | |
| 12 | New Jersey | ~30K | 1.11× | |
| 13 | Alabama | ~20K | 1.11× | |
| 14 | Oklahoma | ~10K | 1.09× | |
| 15 | Illinois | ~40K | 1.08× | |
| 16 | Florida | ~70K | 1.07× | |
| 17 | Maryland | ~20K | 1.06× | |
| 18 | Michigan | ~30K | 1.05× | |
| 19 | Washington, District of Columbia | ~3K | 1.05× | |
| 20 | Indiana | ~20K | 1.03× | |
| 21 | Arizona | ~20K | 1.02× | |
| 22 | Massachusetts | ~20K | 1.02× | |
| 23 | North Dakota | ~2K | 1.02× | |
| 24 | Connecticut | ~10K | 1.01× | |
| 25 | Nebraska | ~5K | 1.01× | |
| 26 | Hawaii | ~4K | 1.01× | |
| 27 | Washington | ~20K | 0.99× | |
| 28 | Missouri | ~20K | 0.98× | |
| 29 | Wisconsin | ~10K | 0.98× | |
| 30 | Delaware | ~3K | 0.98× | |
| 31 | Ohio | ~30K | 0.97× | |
| 32 | Tennessee | ~20K | 0.97× | |
| 33 | Kentucky | ~10K | 0.97× | |
| 34 | Iowa | ~8K | 0.97× | |
| 35 | Nevada | ~9K | 0.96× | |
| 36 | Utah | ~9K | 0.96× | |
| 37 | Kansas | ~7K | 0.95× | |
| 38 | Alaska | ~2K | 0.95× | |
| 39 | West Virginia | ~4K | 0.94× | |
| 40 | South Dakota | ~2K | 0.94× | |
| 41 | Vermont | ~2K | 0.94× | |
| 42 | Rhode Island | ~3K | 0.93× | |
| 43 | New Mexico | ~4K | 0.90× | |
| 44 | Idaho | ~4K | 0.89× | |
| 45 | Montana | ~2K | 0.89× | |
| 46 | New Hampshire | ~3K | 0.88× | |
| 47 | Maine | ~3K | 0.88× | |
| 48 | Minnesota | ~10K | 0.85× | |
| 49 | Oregon | ~9K | 0.83× | |
| 50 | Colorado | ~10K | 0.79× |
The strongest cross-interests of the Cooking Fever audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Michelle Monaghan | Movies & TV | 20.00× | ||
| 02 | West Indies cricket team | Sports | 20.00× | ||
| 03 | Eurostar | Cars & Mobility | 20.00× | ||
| 04 | Product Hunt | Internet & Social Media | 20.00× | ||
| 05 | Lego Mindstorms | Kids & Family | 20.00× | ||
| 06 | Bubble Guppies | Movies & TV | 14.50× | ||
| 07 | Behance | Internet & Social Media | 13.42× | ||
| 08 | International education | Business & Career | 11.95× | ||
| 09 | Full House | Movies & TV | 9.13× | ||
| 10 | Patrick Dempsey | Movies & TV | 9.01× | ||
| 11 | Super Mario | Games | 8.85× | ||
| 12 | Love Actually | Movies & TV | 8.49× | ||
| 13 | White Castle (restaurant) | Food & Beverages | 8.37× | ||
| 14 | Nothing Bundt Cakes | Food & Beverages | 5.62× | ||
| 15 | Wegmans | Shopping | 4.44× | ||
| 16 | Waffle House | Food & Beverages | 4.39× | ||
| 17 | Dairy Queen | Food & Beverages | 3.33× | ||
| 18 | Pizza Hut | Food & Beverages | 1.78× | ||
| 19 | T-Mobile | Technology & Electronics | 1.71× | ||
| 20 | Macy's | Shopping | 1.55× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 1.26× | |
| Indulgence | JOY | 1.22× | |
| Price Sensitivity | PREMIUM | 1.22× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Risk Appetite | THRILL | 0.80× | |
| Sustainability | BALANCE | 0.81× | |
| Design Affinity | PREMIUM | 0.82× |
Cooking Fever has an estimated audience of 991,729 people in United States, concentrated in California and Texas.
70.3% of Cooking Fever fans are female, 29.7% are male, with an average age of 30.4 years.
Cooking Fever fans show strongest brand affinity for Michelle Monaghan (20×), Nothing Bundt Cakes (5.62×), and White Castle (restaurant) (8.37×) over the country average.
Cooking Fever fans in United States are most concentrated in California (reach ~100K), Texas (reach ~100K), and Florida (reach ~70K). These three regions account for the largest share of the active audience.
Beyond Cooking Fever itself, the audience over-indexes on Nothing Bundt Cakes (5.62×), White Castle (restaurant) (8.37×), International education (11.95×), and Bubble Guppies (14.5×) 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 Cooking Fever. 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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