A data profile of the people who buy, follow and care about Aamir Khan in United States — modelled from more than twelve digital signal sources. Aamir Khan has an estimated audience of 740,258 people in United States.
The average Aamir Khan fan in United States is 40.2 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Priyanka Chopra, Nate Bargatze, Music of Bollywood, with strongest over-indexing on Priyanka Chopra (36.69× the country average).
Demographically, the Aamir Khan audience skews more female with an average age of 40.2, and over-indexes on personality traits such as Individualism, Quality Awareness.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Aamir Khan fan in United States is more female, around 40.2 years old, with strong Individualism tendencies and a notable affinity for Priyanka Chopra.
The key figures that characterise the Aamir Khan profile in United States.
69.5% are female, 30.5% are male, average age 40.2.
| Metric | Value |
|---|---|
| Female | 69.5% |
| Male | 30.5% |
| Average age | 40.2 |
| Estimated audience size | 740,258 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 18% | |
| 20-29 | 19% | |
| 30-39 | 20% | |
| 40-49 | 19% | |
| 50+ | 24% |
of the worldwide Aamir Khan audience comes from United States.
| Country | Share |
|---|---|
| India | 46.9% |
| United States | 7.6% |
| Pakistan | 4.1% |
Where the Aamir Khan audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | New Jersey | ~60K | 2.69× | |
| 02 | New York | ~90K | 1.90× | |
| 03 | Virginia | ~40K | 1.86× | |
| 04 | Washington | ~30K | 1.84× | |
| 05 | California | ~200K | 1.81× | |
| 06 | Texas | ~100K | 1.79× | |
| 07 | Illinois | ~50K | 1.77× | |
| 08 | Massachusetts | ~30K | 1.69× | |
| 09 | Maryland | ~20K | 1.62× | |
| 10 | Georgia | ~40K | 1.48× | |
| 11 | Connecticut | ~10K | 1.37× | |
| 12 | Pennsylvania | ~40K | 1.33× | |
| 13 | Michigan | ~30K | 1.27× | |
| 14 | Washington, District of Columbia | ~3K | 1.25× | |
| 15 | North Carolina | ~30K | 1.24× | |
| 16 | Delaware | ~3K | 1.21× | |
| 17 | Minnesota | ~10K | 1.17× | |
| 18 | Ohio | ~30K | 1.11× | |
| 19 | Indiana | ~20K | 1.06× | |
| 20 | Wisconsin | ~10K | 0.95× | |
| 21 | Arizona | ~20K | 0.94× | |
| 22 | North Dakota | ~2K | 0.91× | |
| 23 | Iowa | ~6K | 0.89× | |
| 24 | New Hampshire | ~3K | 0.89× | |
| 25 | Rhode Island | ~2K | 0.87× | |
| 26 | Oregon | ~8K | 0.86× | |
| 27 | Colorado | ~10K | 0.85× | |
| 28 | Kansas | ~5K | 0.85× | |
| 29 | Nebraska | ~3K | 0.83× | |
| 30 | Florida | ~50K | 0.82× | |
| 31 | Missouri | ~10K | 0.82× | |
| 32 | Vermont | ~1K | 0.81× | |
| 33 | Nevada | ~6K | 0.78× | |
| 34 | Kentucky | ~8K | 0.77× | |
| 35 | Arkansas | ~5K | 0.76× | |
| 36 | Alaska | ~1K | 0.75× | |
| 37 | Tennessee | ~10K | 0.74× | |
| 38 | South Dakota | ~1K | 0.73× | |
| 39 | New Mexico | ~3K | 0.71× | |
| 40 | South Carolina | ~8K | 0.69× | |
| 41 | Hawaii | ~2K | 0.69× | |
| 42 | Montana | ~2K | 0.69× | |
| 43 | Louisiana | ~7K | 0.68× | |
| 44 | Oklahoma | ~6K | 0.68× | |
| 45 | Utah | ~5K | 0.68× | |
| 46 | West Virginia | ~3K | 0.67× | |
| 47 | Maine | ~2K | 0.66× | |
| 48 | Idaho | ~3K | 0.64× | |
| 49 | Mississippi | ~4K | 0.59× | |
| 50 | Alabama | ~6K | 0.52× |
The strongest cross-interests of the Aamir Khan audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Shahid Kapoor | Movies & TV | 57.59× | ||
| 02 | Geo TV | Movies & TV | 44.72× | ||
| 03 | Music of Bollywood | Music & Radio | 37.75× | ||
| 04 | Priyanka Chopra | Movies & TV | 36.69× | ||
| 05 | Amitabh Bachchan | Movies & TV | 34.36× | ||
| 06 | Kunal Nayyar | Movies & TV | 34.16× | ||
| 07 | Shah Rukh Khan | Movies & TV | 31.82× | ||
| 08 | Culture of India | Politics & Society | 31.80× | ||
| 09 | Kumail Nanjiani | Movies & TV | 29.84× | ||
| 10 | Music of India | Music & Radio | 29.55× | ||
| 11 | Baidu | Internet & Social Media | 28.70× | ||
| 12 | Daniel Dae Kim | Movies & TV | 28.67× | ||
| 13 | Taobao | Shopping | 24.05× | ||
| 14 | Michelle Yeoh | Movies & TV | 22.90× | ||
| 15 | Nate Bargatze | Music & Radio | 20.93× | ||
| 16 | Jackie Chan | Movies & TV | 18.48× | ||
| 17 | Mitú | Travel & Leisure | 12.75× | ||
| 18 | Zoom (TV channel) | Technology & Electronics | 12.19× | ||
| 19 | Cricket | Sports | 10.88× | ||
| 20 | Bollywood movies | Movies & TV | 9.59× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Individualism | JOY | 2.30× | |
| Quality Awareness | PREMIUM | 1.91× | |
| Tradition | CONSERVATISM | 1.77× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 0.91× | |
| Patriotism | CONSERVATISM | 0.92× | |
| DIY Mentality | THRILL | 1.00× |
Aamir Khan has an estimated audience of 740,258 people in United States, concentrated in California and Texas.
69.5% of Aamir Khan fans are female, 30.5% are male, with an average age of 40.2 years.
Aamir Khan fans show strongest brand affinity for Priyanka Chopra (36.69×), Nate Bargatze (20.93×), and Music of Bollywood (37.75×) over the country average.
Aamir Khan fans in United States are most concentrated in California (reach ~200K), Texas (reach ~100K), and New York (reach ~90K). These three regions account for the largest share of the active audience.
Beyond Aamir Khan itself, the audience over-indexes on Nate Bargatze (20.93×), Music of Bollywood (37.75×), Zoom (TV channel) (12.19×), and Kumail Nanjiani (29.84×) 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 Aamir Khan. 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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