Kunal Nayyar Audience in United States

Kunal Nayyar has an estimated audience of 1,262,062 people in United States. 79.7% are female, 20.3% are male, average age 43.6. Top regions: California, Texas, Florida. Top brand affinities: Nate Bargatze, Priyanka Chopra, Jackie Chan, Kyle Lowry, Jamie Chung.
The average Kunal Nayyar fan in United States is 43.6 years old, more female, and lives primarily in California. The audience is concentrated in California, Texas, Florida. Top brand affinities include Nate Bargatze, Priyanka Chopra, Jackie Chan, with strongest over-indexing on Nate Bargatze (18.85× the country average). Demographically, the Kunal Nayyar audience skews more female with an average age of 43.6, and over-indexes on personality traits such as Social Media Usage, LGBTQ+ Identity. 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 Kunal Nayyar fans
| Metric | Value |
|---|---|
| Female | 79.7% |
| Male | 20.3% |
| Average age | 43.6 |
| Estimated audience size | 1,262,062 |
Audience persona
The typical Kunal Nayyar fan in United States is more female, around 43.6 years old, with strong Social Media Usage tendencies and a notable affinity for Nate Bargatze.
Top regions in United States
| Region | Reach | Affinity |
|---|---|---|
| California | 145,786 | 1.05× |
| Texas | 121,368 | 1.12× |
| Florida | 78,840 | 0.92× |
| New York | 60,358 | 0.86× |
| Pennsylvania | 45,974 | 1.08× |
| Ohio | 45,755 | 1.18× |
| Illinois | 42,272 | 1.01× |
| North Carolina | 38,763 | 1.02× |
| Georgia | 36,170 | 0.93× |
| Michigan | 32,928 | 1× |
| New Jersey | 30,362 | 0.95× |
| Arizona | 29,087 | 1.13× |
| Virginia | 28,504 | 0.93× |
| Washington | 27,702 | 1.09× |
| Tennessee | 26,708 | 1.05× |
| Indiana | 26,660 | 1.16× |
| Missouri | 22,928 | 1.13× |
| Massachusetts | 22,453 | 0.9× |
| Colorado | 20,638 | 1.04× |
| Wisconsin | 20,199 | 1.06× |
| South Carolina | 18,593 | 0.98× |
| Maryland | 18,244 | 0.84× |
| Kentucky | 18,208 | 1.15× |
| Minnesota | 17,288 | 0.96× |
| Oklahoma | 16,954 | 1.21× |
| Alabama | 16,821 | 0.95× |
| Oregon | 16,015 | 1.11× |
| Louisiana | 13,319 | 0.82× |
| Connecticut | 12,081 | 0.95× |
| Arkansas | 11,761 | 1.13× |
| Utah | 11,756 | 1.04× |
| Iowa | 11,186 | 1.08× |
| Nevada | 11,070 | 0.91× |
| Kansas | 10,332 | 1.04× |
| Mississippi | 8,812 | 0.85× |
| New Mexico | 7,458 | 1.18× |
| Idaho | 7,305 | 1.15× |
| West Virginia | 6,473 | 1.1× |
| Nebraska | 6,202 | 0.98× |
| New Hampshire | 4,801 | 0.97× |
| Hawaii | 4,747 | 0.88× |
| Maine | 4,731 | 1.05× |
| Montana | 3,605 | 1.03× |
| Rhode Island | 3,289 | 0.82× |
| Delaware | 3,159 | 0.91× |
| South Dakota | 3,004 | 1.03× |
| North Dakota | 2,450 | 0.94× |
| Alaska | 2,401 | 0.89× |
| Washington, District of Columbia | 2,327 | 0.61× |
| Wyoming | 1,920 | 1.03× |
Top brand affinities
Brands and entities this audience over-indexes on, vs. the country average.
| Brand | Affinity | Category |
|---|---|---|
| Nate Bargatze | 18.85× | Music & Radio |
| Priyanka Chopra | 21.85× | Movies & TV |
| Jackie Chan | 17.82× | Movies & TV |
| Kyle Lowry | 54.93× | Sports |
| Jamie Chung | 35.32× | Movies & TV |
| Kumail Nanjiani | 26.86× | Movies & TV |
| Chinese language | 15.11× | Politics & Society |
| Zodiac (film) | 22.78× | Movies & TV |
| M. Night Shyamalan | 30.52× | Movies & TV |
| Sandra Oh | 29.3× | Movies & TV |
| Daniel Dae Kim | 25.22× | Movies & TV |
| Baidu | 25.87× | Internet & Social Media |
| Gloria Estefan | 23.98× | Music & Radio |
| Taobao | 18.67× | Shopping |
| Bruce Lee | 16.14× | Movies & TV |
| Taiwan | 10.38× | Travel & Leisure |
| Taiwanese drama | 22.34× | Movies & TV |
| Music of Bollywood | 19.85× | Music & Radio |
| Michelle Yeoh | 18.19× | Movies & TV |
| Reggaeton | 5.52× | Music & Radio |
Psychographic profile
Top six personality traits over-indexed by this audience (1.0 = country average).
| Trait | Cluster | Score |
|---|---|---|
| Social Media Usage | JOY | 1.74 |
| LGBTQ+ Identity | OPEN | 1.45 |
| Indulgence | JOY | 1.21 |
| Design Affinity | PREMIUM | 1.2 |
| Extroversion | THRILL | 1.16 |
| DIY Mentality | THRILL | 1.14 |
Worldwide distribution
| Country | Share |
|---|---|
| United States | 31.6% |
| United Kingdom | 8.6% |
| Brazil | 7.5% |
See Kunal Nayyar audiences in other countries
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Frequently asked questions
How many fans does Kunal Nayyar have in United States?
Kunal Nayyar has an estimated audience of 1,262,062 people in United States, concentrated in California and Texas.
What is the gender split and age of Kunal Nayyar fans?
79.7% of Kunal Nayyar fans are female, 20.3% are male, with an average age of 43.6 years.
Which brands do Kunal Nayyar fans like most?
Kunal Nayyar fans show strongest brand affinity for Nate Bargatze (18.85×), Priyanka Chopra (21.85×), and Jackie Chan (17.82×) over the country average.
Where do Kunal Nayyar fans live in United States?
Kunal Nayyar fans in United States are most concentrated in California (reach 145,786), Texas (reach 121,368), and Florida (reach 78,840). These three regions account for the largest share of the active audience.
What other brands do Kunal Nayyar fans also like?
Beyond Kunal Nayyar itself, the audience over-indexes on Priyanka Chopra (21.85×), Jackie Chan (17.82×), Kyle Lowry (54.93×), and Jamie Chung (35.32×) 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 Kunal Nayyar. 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.