A data profile of the people who buy, follow and care about Taika Waititi in United States — modelled from more than twelve digital signal sources. Taika Waititi has an estimated audience of 1,291,456 people in United States.
The average Taika Waititi fan in United States is 35.5 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Ming-Na Wen, Jennifer Connelly, RedBalloon, with strongest over-indexing on Ming-Na Wen (210.22× the country average).
Demographically, the Taika Waititi audience skews more male with an average age of 35.5, and over-indexes on personality traits such as Travelling, Luxury Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Taika Waititi fan in United States is more male, around 35.5 years old, with strong Travelling tendencies and a notable affinity for Ming-Na Wen.
The key figures that characterise the Taika Waititi profile in United States.
36.1% are female, 63.9% are male, average age 35.5.
| Metric | Value |
|---|---|
| Female | 36.1% |
| Male | 63.9% |
| Average age | 35.5 |
| Estimated audience size | 1,291,456 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 22% | |
| 20-29 | 26% | |
| 30-39 | 26% | |
| 40-49 | 19% | |
| 50+ | 8% |
of the worldwide Taika Waititi audience comes from United States.
| Country | Share |
|---|---|
| United States | 31.3% |
| United Kingdom | 10.1% |
| Australia | 6.3% |
Where the Taika Waititi audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hawaii | ~10K | 1.63× | |
| 02 | Utah | ~20K | 1.62× | |
| 03 | Oregon | ~30K | 1.53× | |
| 04 | Washington | ~40K | 1.39× | |
| 05 | Alaska | ~4K | 1.32× | |
| 06 | Idaho | ~10K | 1.29× | |
| 07 | Vermont | ~3K | 1.26× | |
| 08 | Colorado | ~30K | 1.25× | |
| 09 | California | ~200K | 1.17× | |
| 10 | Montana | ~5K | 1.16× | |
| 11 | Maine | ~6K | 1.12× | |
| 12 | New Hampshire | ~6K | 1.08× | |
| 13 | New Mexico | ~8K | 1.06× | |
| 14 | Arizona | ~30K | 1.05× | |
| 15 | Massachusetts | ~30K | 1.04× | |
| 16 | Washington, District of Columbia | ~5K | 1.04× | |
| 17 | New York | ~80K | 1.03× | |
| 18 | Minnesota | ~20K | 1.01× | |
| 19 | Rhode Island | ~5K | 0.98× | |
| 20 | Missouri | ~20K | 0.97× | |
| 21 | Illinois | ~50K | 0.96× | |
| 22 | Wisconsin | ~20K | 0.96× | |
| 23 | Oklahoma | ~20K | 0.96× | |
| 24 | Pennsylvania | ~50K | 0.95× | |
| 25 | Michigan | ~40K | 0.94× | |
| 26 | Nevada | ~10K | 0.94× | |
| 27 | Virginia | ~30K | 0.93× | |
| 28 | Kansas | ~10K | 0.93× | |
| 29 | Ohio | ~40K | 0.92× | |
| 30 | Nebraska | ~7K | 0.92× | |
| 31 | Connecticut | ~10K | 0.91× | |
| 32 | Indiana | ~20K | 0.89× | |
| 33 | Maryland | ~20K | 0.89× | |
| 34 | Kentucky | ~20K | 0.89× | |
| 35 | New Jersey | ~30K | 0.88× | |
| 36 | Iowa | ~10K | 0.88× | |
| 37 | North Dakota | ~3K | 0.88× | |
| 38 | South Dakota | ~3K | 0.87× | |
| 39 | North Carolina | ~40K | 0.86× | |
| 40 | Tennessee | ~30K | 0.86× | |
| 41 | Texas | ~100K | 0.85× | |
| 42 | Georgia | ~40K | 0.83× | |
| 43 | West Virginia | ~6K | 0.83× | |
| 44 | Delaware | ~3K | 0.83× | |
| 45 | Florida | ~80K | 0.82× | |
| 46 | Arkansas | ~10K | 0.82× | |
| 47 | South Carolina | ~20K | 0.78× | |
| 48 | Alabama | ~20K | 0.75× | |
| 49 | Louisiana | ~10K | 0.73× | |
| 50 | Mississippi | ~8K | 0.66× |
The strongest cross-interests of the Taika Waititi audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | RedBalloon | Shopping | 476.71× | ||
| 02 | Ming-Na Wen | Movies & TV | 210.22× | ||
| 03 | Fundação Getúlio Vargas | Business & Career | 139.77× | ||
| 04 | Jack Ryan (film series) | Movies & TV | 133.38× | ||
| 05 | Jennifer Connelly | Movies & TV | 110.01× | ||
| 06 | Nathan Fielder | Movies & TV | 108.39× | ||
| 07 | Katee Sackhoff | Movies & TV | 100.38× | ||
| 08 | Al Pacino | Movies & TV | 71.22× | ||
| 09 | Ron Howard | Movies & TV | 67.64× | ||
| 10 | Bill Murray | Movies & TV | 64.85× | ||
| 11 | Werner Herzog | Movies & TV | 51.61× | ||
| 12 | Michelle Rodriguez | Movies & TV | 45.64× | ||
| 13 | Amy Sedaris | Movies & TV | 45.59× | ||
| 14 | Owen Wilson | Movies & TV | 33.04× | ||
| 15 | Jon Favreau | Movies & TV | 31.10× | ||
| 16 | Pedro Pascal | Movies & TV | 26.92× | ||
| 17 | David Harbour | Movies & TV | 21.96× | ||
| 18 | Ed Harris | Movies & TV | 20.00× | ||
| 19 | Jon Hamm | Movies & TV | 20.00× | ||
| 20 | Alison Brie | Movies & TV | 19.17× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Travelling | THRILL | 1.36× | |
| Luxury Orientation | PREMIUM | 1.36× | |
| Spirituality | BALANCE | 1.33× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 0.78× | |
| Creativity | OPEN | 0.79× | |
| Community Orientation | OPEN | 0.83× |
Taika Waititi has an estimated audience of 1,291,456 people in United States, concentrated in California and Texas.
36.1% of Taika Waititi fans are female, 63.9% are male, with an average age of 35.5 years.
Taika Waititi fans show strongest brand affinity for Ming-Na Wen (210.22×), Jennifer Connelly (110.01×), and RedBalloon (476.71×) over the country average.
Taika Waititi fans in United States are most concentrated in California (reach ~200K), Texas (reach ~100K), and New York (reach ~80K). These three regions account for the largest share of the active audience.
Beyond Taika Waititi itself, the audience over-indexes on Jennifer Connelly (110.01×), RedBalloon (476.71×), Bill Murray (64.85×), and Al Pacino (71.22×) 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 Taika Waititi. 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.