John Boyega Audience in United States

John Boyega has an estimated audience of 620,084 people in United States. 45.7% are female, 54.3% are male, average age 33.1. Top regions: California, Texas, Florida. Top brand affinities: Krysten Ritter, Deborah Ann Woll, Oscar Isaac, Josh Gad, Michael Fassbender.
The average John Boyega fan in United States is 33.1 years old, balanced, and lives primarily in California. The audience is concentrated in California, Texas, Florida. Top brand affinities include Krysten Ritter, Deborah Ann Woll, Oscar Isaac, with strongest over-indexing on Krysten Ritter (42.48× the country average). Demographically, the John Boyega audience skews balanced with an average age of 33.1, and over-indexes on personality traits such as LGBTQ+ Identity, Early Adopter Mentality. Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
Category: Movies & TV · Type: Person · Subtype: Actor Actress or TV Star
Demographics of John Boyega fans
| Metric | Value |
|---|---|
| Female | 45.7% |
| Male | 54.3% |
| Average age | 33.1 |
| Estimated audience size | 620,084 |
Audience persona
The typical John Boyega fan in United States is balanced, around 33.1 years old, with strong LGBTQ+ Identity tendencies and a notable affinity for Krysten Ritter.
Top regions in United States
| Region | Reach | Affinity |
|---|---|---|
| California | 80,407 | 1.18× |
| Texas | 61,241 | 1.15× |
| Florida | 45,418 | 1.08× |
| New York | 39,564 | 1.14× |
| Georgia | 33,096 | 1.73× |
| Illinois | 23,643 | 1.14× |
| North Carolina | 23,391 | 1.25× |
| Pennsylvania | 20,491 | 0.98× |
| Maryland | 20,122 | 1.89× |
| Ohio | 18,842 | 0.99× |
| Virginia | 17,724 | 1.17× |
| Michigan | 16,796 | 1.04× |
| New Jersey | 15,965 | 1.01× |
| Washington | 14,349 | 1.15× |
| Arizona | 13,688 | 1.08× |
| Tennessee | 12,964 | 1.04× |
| Alabama | 12,514 | 1.44× |
| Louisiana | 11,094 | 1.39× |
| Indiana | 10,802 | 0.95× |
| South Carolina | 10,726 | 1.15× |
| Massachusetts | 10,574 | 0.87× |
| Missouri | 10,085 | 1.01× |
| Colorado | 8,439 | 0.86× |
| Wisconsin | 7,887 | 0.85× |
| Minnesota | 7,820 | 0.88× |
| Oklahoma | 7,227 | 1.05× |
| Kentucky | 7,195 | 0.93× |
| Oregon | 6,918 | 0.97× |
| Nevada | 6,679 | 1.11× |
| Mississippi | 6,499 | 1.27× |
| Connecticut | 6,185 | 0.99× |
| Utah | 5,022 | 0.9× |
| Arkansas | 4,987 | 0.98× |
| Kansas | 4,484 | 0.92× |
| Iowa | 3,651 | 0.71× |
| Washington, District of Columbia | 2,559 | 1.37× |
| New Mexico | 2,523 | 0.81× |
| Idaho | 2,459 | 0.79× |
| Nebraska | 2,447 | 0.79× |
| Hawaii | 2,314 | 0.87× |
| West Virginia | 1,992 | 0.69× |
| Delaware | 1,904 | 1.11× |
| New Hampshire | 1,749 | 0.72× |
| Rhode Island | 1,625 | 0.82× |
| Maine | 1,536 | 0.69× |
| Alaska | 1,229 | 0.93× |
| Montana | 1,167 | 0.68× |
| South Dakota | 860 | 0.6× |
| North Dakota | 787 | 0.62× |
| Vermont | 705 | 0.65× |
Top brand affinities
Brands and entities this audience over-indexes on, vs. the country average.
| Brand | Affinity | Category |
|---|---|---|
| Krysten Ritter | 42.48× | Movies & TV |
| Deborah Ann Woll | 60.42× | Movies & TV |
| Oscar Isaac | 31.11× | Movies & TV |
| Josh Gad | 46.34× | Movies & TV |
| Michael Fassbender | 36.24× | Movies & TV |
| Julia Louis-Dreyfus | 29.75× | Movies & TV |
| Bryan Cranston | 24.6× | Movies & TV |
| Evan Rachel Wood | 36.59× | Movies & TV |
| Kristen Bell | 14.92× | Movies & TV |
| Simon Pegg | 34.7× | Movies & TV |
| LibreOffice | 50.12× | Technology & Electronics |
| Jon Favreau | 24.64× | Movies & TV |
| Vincent D’Onofrio | 21.25× | Movies & TV |
| Rashida Jones | 18.78× | Movies & TV |
| Glory (1989 film) | 17.55× | Movies & TV |
| Andy Serkis | 25.67× | Movies & TV |
| 12 Monkeys | 40.48× | Movies & TV |
| Clark Gregg | 37.63× | Movies & TV |
| Key Food | 17.79× | Shopping |
| Euphoria | 2.46× | Movies & TV |
Psychographic profile
Top six personality traits over-indexed by this audience (1.0 = country average).
| Trait | Cluster | Score |
|---|---|---|
| LGBTQ+ Identity | OPEN | 1.73 |
| Early Adopter Mentality | POWER | 1.64 |
| Community Orientation | OPEN | 1.37 |
| Individualism | JOY | 1.3 |
| Extroversion | THRILL | 1.3 |
| Convenience Orientation | PREMIUM | 1.22 |
Worldwide distribution
| Country | Share |
|---|---|
| United States | 37.1% |
| United Kingdom | 13.4% |
| Brazil | 4.7% |
See John Boyega audiences in other countries
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Frequently asked questions
How many fans does John Boyega have in United States?
John Boyega has an estimated audience of 620,084 people in United States, concentrated in California and Texas.
What is the gender split and age of John Boyega fans?
45.7% of John Boyega fans are female, 54.3% are male, with an average age of 33.1 years.
Which brands do John Boyega fans like most?
John Boyega fans show strongest brand affinity for Krysten Ritter (42.48×), Deborah Ann Woll (60.42×), and Oscar Isaac (31.11×) over the country average.
Where do John Boyega fans live in United States?
John Boyega fans in United States are most concentrated in California (reach 80,407), Texas (reach 61,241), and Florida (reach 45,418). These three regions account for the largest share of the active audience.
What other brands do John Boyega fans also like?
Beyond John Boyega itself, the audience over-indexes on Deborah Ann Woll (60.42×), Oscar Isaac (31.11×), Josh Gad (46.34×), and Michael Fassbender (36.24×) compared to the United States average.
How to read this data
Audience size is the estimated number of people in United States who actively search for John Boyega. 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.
About this audience profile
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.