A data profile of the people who buy, follow and care about Pantanal in United States — modelled from more than twelve digital signal sources. Pantanal has an estimated audience of 273,546 people in United States.
The average Pantanal fan in United States is 44.5 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Froot Loops, Josh Duhamel, uol, with strongest over-indexing on Froot Loops (522.67× the country average).
Demographically, the Pantanal audience skews more male with an average age of 44.5, and over-indexes on personality traits such as Mindfulness, Indulgence.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Pantanal fan in United States is more male, around 44.5 years old, with strong Mindfulness tendencies and a notable affinity for Froot Loops.
The key figures that characterise the Pantanal profile in United States.
40.0% are female, 60.0% are male, average age 44.5.
| Metric | Value |
|---|---|
| Female | 40.0% |
| Male | 60.0% |
| Average age | 44.5 |
| Estimated audience size | 273,546 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 10% | |
| 20-29 | 15% | |
| 30-39 | 19% | |
| 40-49 | 23% | |
| 50+ | 34% |
Where the Pantanal audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Connecticut | ~10K | 4.83× | |
| 02 | Washington, District of Columbia | ~1K | 1.77× | |
| 03 | Massachusetts | ~8K | 1.49× | |
| 04 | Colorado | ~5K | 1.19× | |
| 05 | Washington | ~6K | 1.18× | |
| 06 | Utah | ~3K | 1.14× | |
| 07 | Vermont | <1K | 1.14× | |
| 08 | Oregon | ~4K | 1.13× | |
| 09 | Montana | <1K | 1.11× | |
| 10 | New Hampshire | ~1K | 1.08× | |
| 11 | New York | ~20K | 1.06× | |
| 12 | Maine | ~1K | 1.06× | |
| 13 | Alaska | <1K | 1.06× | |
| 14 | Florida | ~20K | 1.05× | |
| 15 | Virginia | ~7K | 1.00× | |
| 16 | Rhode Island | <1K | 1.00× | |
| 17 | Idaho | ~1K | 0.99× | |
| 18 | Hawaii | ~1K | 0.99× | |
| 19 | Maryland | ~5K | 0.98× | |
| 20 | California | ~30K | 0.96× | |
| 21 | Wisconsin | ~4K | 0.95× | |
| 22 | South Dakota | <1K | 0.95× | |
| 23 | North Dakota | <1K | 0.94× | |
| 24 | Minnesota | ~4K | 0.93× | |
| 25 | New Mexico | ~1K | 0.91× | |
| 26 | South Carolina | ~4K | 0.90× | |
| 27 | Illinois | ~8K | 0.88× | |
| 28 | New Jersey | ~6K | 0.88× | |
| 29 | Delaware | <1K | 0.88× | |
| 30 | Kansas | ~2K | 0.87× | |
| 31 | Pennsylvania | ~8K | 0.86× | |
| 32 | Georgia | ~7K | 0.86× | |
| 33 | Texas | ~20K | 0.85× | |
| 34 | North Carolina | ~7K | 0.85× | |
| 35 | West Virginia | ~1K | 0.85× | |
| 36 | Nebraska | ~1K | 0.84× | |
| 37 | Oklahoma | ~3K | 0.83× | |
| 38 | Iowa | ~2K | 0.83× | |
| 39 | Michigan | ~6K | 0.82× | |
| 40 | Missouri | ~4K | 0.82× | |
| 41 | Mississippi | ~2K | 0.82× | |
| 42 | Louisiana | ~3K | 0.81× | |
| 43 | Nevada | ~2K | 0.81× | |
| 44 | Arkansas | ~2K | 0.80× | |
| 45 | Arizona | ~4K | 0.79× | |
| 46 | Indiana | ~4K | 0.79× | |
| 47 | Kentucky | ~3K | 0.76× | |
| 48 | Tennessee | ~4K | 0.74× | |
| 49 | Alabama | ~3K | 0.73× | |
| 50 | Ohio | ~6K | 0.72× |
The strongest cross-interests of the Pantanal audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Froot Loops | Food & Beverages | 522.67× | ||
| 02 | uol | Technology & Electronics | 58.70× | ||
| 03 | Josh Duhamel | Fashion & Accessoires | 48.57× | ||
| 04 | Rede Globo | Movies & TV | 27.39× | ||
| 05 | Sophia Bush | Movies & TV | 20.00× | ||
| 06 | Seth Green | Movies & TV | 20.00× | ||
| 07 | Rose McGowan | Movies & TV | 20.00× | ||
| 08 | Erin Andrews | Sports | 20.00× | ||
| 09 | Tata Motors | Cars & Mobility | 19.75× | ||
| 10 | Sharon Osbourne | Movies & TV | 13.56× | ||
| 11 | FIFA Club World Cup | Sports | 12.53× | ||
| 12 | Alyssa Milano | Movies & TV | 12.06× | ||
| 13 | Elizabeth Banks | Movies & TV | 10.80× | ||
| 14 | Mariska Hargitay | Movies & TV | 10.76× | ||
| 15 | Houston Astros | Sports | 8.41× | ||
| 16 | Web server | Technology & Electronics | 6.79× | ||
| 17 | Houston Texans | Sports | 5.58× | ||
| 18 | Zoo | Kids & Family | 5.00× | ||
| 19 | Anne Hathaway | Movies & TV | 4.63× | ||
| 20 | Cooking | Food & Beverages | 1.57× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Mindfulness | BALANCE | 2.03× | |
| Indulgence | JOY | 1.72× | |
| Risk Appetite | THRILL | 1.71× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 0.82× | |
| Extroversion | THRILL | 0.88× | |
| Luxury Orientation | PREMIUM | 0.96× |
Pantanal has an estimated audience of 273,546 people in United States, concentrated in California and Texas.
40.0% of Pantanal fans are female, 60.0% are male, with an average age of 44.5 years.
Pantanal fans show strongest brand affinity for Froot Loops (522.67×), Josh Duhamel (48.57×), and uol (58.7×) over the country average.
Pantanal fans in United States are most concentrated in California (reach ~30K), Texas (reach ~20K), and Florida (reach ~20K). These three regions account for the largest share of the active audience.
Beyond Pantanal itself, the audience over-indexes on Josh Duhamel (48.57×), uol (58.7×), Sharon Osbourne (13.56×), and Sophia Bush (20×) 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 Pantanal. 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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.