A data profile of the people who buy, follow and care about Salman Khan in United States — modelled from more than twelve digital signal sources. Salman Khan has an estimated audience of 1,144,757 people in United States.
The average Salman Khan fan in United States is 35.1 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, Shah Rukh Khan, with strongest over-indexing on Priyanka Chopra (30.89× the country average).
Demographically, the Salman Khan audience skews more female with an average age of 35.1, and over-indexes on personality traits such as Individualism, Luxury Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Salman Khan fan in United States is more female, around 35.1 years old, with strong Individualism tendencies and a notable affinity for Priyanka Chopra.
The key figures that characterise the Salman Khan profile in United States.
57.0% are female, 43.0% are male, average age 35.1.
| Metric | Value |
|---|---|
| Female | 57.0% |
| Male | 43.0% |
| Average age | 35.1 |
| Estimated audience size | 1,144,757 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 33% | |
| 20-29 | 20% | |
| 30-39 | 17% | |
| 40-49 | 15% | |
| 50+ | 16% |
of the worldwide Salman Khan audience comes from United States.
| Country | Share |
|---|---|
| India | 57.0% |
| United States | 6.3% |
| Pakistan | 4.8% |
Where the Salman Khan audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | New Jersey | ~100K | 3.32× | |
| 02 | New York | ~200K | 2.46× | |
| 03 | Virginia | ~60K | 2.03× | |
| 04 | Illinois | ~80K | 2.02× | |
| 05 | California | ~300K | 1.98× | |
| 06 | Texas | ~200K | 1.83× | |
| 07 | Washington | ~40K | 1.80× | |
| 08 | Maryland | ~30K | 1.67× | |
| 09 | Georgia | ~60K | 1.52× | |
| 10 | Massachusetts | ~40K | 1.51× | |
| 11 | Pennsylvania | ~60K | 1.41× | |
| 12 | Connecticut | ~20K | 1.35× | |
| 13 | Michigan | ~40K | 1.32× | |
| 14 | Delaware | ~4K | 1.28× | |
| 15 | Washington, District of Columbia | ~4K | 1.24× | |
| 16 | Minnesota | ~20K | 1.19× | |
| 17 | North Carolina | ~40K | 1.09× | |
| 18 | Ohio | ~40K | 1.02× | |
| 19 | Nevada | ~10K | 0.95× | |
| 20 | Arizona | ~20K | 0.93× | |
| 21 | Florida | ~70K | 0.90× | |
| 22 | Indiana | ~20K | 0.90× | |
| 23 | Iowa | ~9K | 0.90× | |
| 24 | New Hampshire | ~4K | 0.84× | |
| 25 | North Dakota | ~2K | 0.83× | |
| 26 | Missouri | ~20K | 0.81× | |
| 27 | Oregon | ~10K | 0.81× | |
| 28 | Kentucky | ~10K | 0.80× | |
| 29 | Kansas | ~7K | 0.78× | |
| 30 | Vermont | ~2K | 0.77× | |
| 31 | Wisconsin | ~10K | 0.73× | |
| 32 | Rhode Island | ~3K | 0.73× | |
| 33 | Colorado | ~10K | 0.72× | |
| 34 | Nebraska | ~4K | 0.71× | |
| 35 | Alaska | ~2K | 0.70× | |
| 36 | Utah | ~7K | 0.68× | |
| 37 | South Dakota | ~2K | 0.68× | |
| 38 | Arkansas | ~6K | 0.66× | |
| 39 | Tennessee | ~20K | 0.65× | |
| 40 | Montana | ~2K | 0.65× | |
| 41 | Louisiana | ~10K | 0.64× | |
| 42 | South Carolina | ~10K | 0.63× | |
| 43 | Idaho | ~4K | 0.62× | |
| 44 | Hawaii | ~3K | 0.62× | |
| 45 | Maine | ~3K | 0.61× | |
| 46 | Oklahoma | ~8K | 0.60× | |
| 47 | West Virginia | ~3K | 0.60× | |
| 48 | New Mexico | ~4K | 0.59× | |
| 49 | Mississippi | ~6K | 0.58× | |
| 50 | Alabama | ~9K | 0.56× |
The strongest cross-interests of the Salman Khan audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Katrina Kaif | Movies & TV | 37.92× | ||
| 02 | Shah Rukh Khan | Movies & TV | 37.54× | ||
| 03 | Trisha (actress) | Movies & TV | 32.95× | ||
| 04 | Priyanka Chopra | Movies & TV | 30.89× | ||
| 05 | Aamir Khan | Movies & TV | 30.87× | ||
| 06 | Deepika Padukone | Movies & TV | 29.33× | ||
| 07 | Geo TV | Movies & TV | 28.25× | ||
| 08 | Amitabh Bachchan | Movies & TV | 25.83× | ||
| 09 | Music of Bollywood | Music & Radio | 25.03× | ||
| 10 | Bollywood Hungama | Movies & TV | 21.06× | ||
| 11 | Colors (TV channel) | Movies & TV | 20.32× | ||
| 12 | Kumail Nanjiani | Movies & TV | 18.85× | ||
| 13 | Daniel Dae Kim | Movies & TV | 18.30× | ||
| 14 | Taobao | Shopping | 15.19× | ||
| 15 | Nate Bargatze | Music & Radio | 13.27× | ||
| 16 | Jackie Chan | Movies & TV | 11.02× | ||
| 17 | Zoom (TV channel) | Technology & Electronics | 10.01× | ||
| 18 | Mitú | Travel & Leisure | 8.56× | ||
| 19 | Cricket | Sports | 7.90× | ||
| 20 | God | Politics & Society | 3.45× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Individualism | JOY | 3.58× | |
| Luxury Orientation | PREMIUM | 1.94× | |
| Quality Awareness | PREMIUM | 1.79× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.80× | |
| Social Media Usage | JOY | 0.92× | |
| DIY Mentality | THRILL | 0.94× |
Salman Khan has an estimated audience of 1,144,757 people in United States, concentrated in California and Texas.
57.0% of Salman Khan fans are female, 43.0% are male, with an average age of 35.1 years.
Salman Khan fans show strongest brand affinity for Priyanka Chopra (30.89×), Nate Bargatze (13.27×), and Shah Rukh Khan (37.54×) over the country average.
Salman Khan fans in United States are most concentrated in California (reach ~300K), Texas (reach ~200K), and New York (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Salman Khan itself, the audience over-indexes on Nate Bargatze (13.27×), Shah Rukh Khan (37.54×), Zoom (TV channel) (10.01×), and Music of Bollywood (25.03×) 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 Salman 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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