A data profile of the people who buy, follow and care about hotstar in United States — modelled from more than twelve digital signal sources. hotstar has an estimated audience of 3,784,291 people in United States.
The average hotstar fan in United States is 37.4 years old, balanced, and lives primarily in California.
The audience is concentrated in California, New York, Texas.
Top brand affinities include NDTV, Bank of America, HDFC Bank, with strongest over-indexing on NDTV (92.25× the country average).
Demographically, the hotstar audience skews balanced with an average age of 37.4, and over-indexes on personality traits such as Price Sensitivity, Quality Awareness.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical hotstar fan in United States is balanced, around 37.4 years old, with strong Price Sensitivity tendencies and a notable affinity for NDTV.
The key figures that characterise the hotstar profile in United States.
51.4% are female, 48.6% are male, average age 37.4.
| Metric | Value |
|---|---|
| Female | 51.4% |
| Male | 48.6% |
| Average age | 37.4 |
| Estimated audience size | 3,784,291 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 25% | |
| 20-29 | 21% | |
| 30-39 | 18% | |
| 40-49 | 19% | |
| 50+ | 17% |
of the worldwide hotstar audience comes from United States.
| Country | Share |
|---|---|
| India | 53.5% |
| United States | 12.8% |
| Indonesia | 3.4% |
Where the hotstar audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Kansas | ~70K | 2.46× | |
| 02 | Wyoming | ~10K | 2.26× | |
| 03 | New York | ~400K | 1.79× | |
| 04 | Washington, District of Columbia | ~20K | 1.77× | |
| 05 | New Jersey | ~100K | 1.42× | |
| 06 | California | ~600K | 1.38× | |
| 07 | Louisiana | ~60K | 1.32× | |
| 08 | Georgia | ~200K | 1.31× | |
| 09 | Washington | ~90K | 1.22× | |
| 10 | Virginia | ~100K | 1.15× | |
| 11 | Illinois | ~100K | 1.14× | |
| 12 | Florida | ~300K | 1.12× | |
| 13 | Tennessee | ~80K | 1.09× | |
| 14 | Texas | ~400K | 1.08× | |
| 15 | Colorado | ~60K | 1.05× | |
| 16 | Mississippi | ~30K | 1.02× | |
| 17 | North Carolina | ~100K | 1.01× | |
| 18 | Massachusetts | ~70K | 0.99× | |
| 19 | Ohio | ~100K | 0.98× | |
| 20 | Kentucky | ~50K | 0.97× | |
| 21 | Connecticut | ~40K | 0.97× | |
| 22 | Delaware | ~10K | 0.94× | |
| 23 | South Carolina | ~50K | 0.93× | |
| 24 | Arkansas | ~30K | 0.93× | |
| 25 | South Dakota | ~8K | 0.93× | |
| 26 | Pennsylvania | ~100K | 0.92× | |
| 27 | Indiana | ~60K | 0.92× | |
| 28 | Maryland | ~60K | 0.92× | |
| 29 | Missouri | ~60K | 0.92× | |
| 30 | Alabama | ~50K | 0.91× | |
| 31 | West Virginia | ~20K | 0.91× | |
| 32 | Arizona | ~70K | 0.87× | |
| 33 | North Dakota | ~7K | 0.87× | |
| 34 | Oregon | ~40K | 0.86× | |
| 35 | Idaho | ~20K | 0.86× | |
| 36 | Alaska | ~7K | 0.86× | |
| 37 | Iowa | ~30K | 0.84× | |
| 38 | Rhode Island | ~10K | 0.84× | |
| 39 | Montana | ~9K | 0.83× | |
| 40 | New Hampshire | ~10K | 0.82× | |
| 41 | Michigan | ~80K | 0.81× | |
| 42 | Nevada | ~30K | 0.77× | |
| 43 | Oklahoma | ~30K | 0.76× | |
| 44 | Nebraska | ~10K | 0.76× | |
| 45 | New Mexico | ~10K | 0.76× | |
| 46 | Maine | ~10K | 0.76× | |
| 47 | Minnesota | ~40K | 0.73× | |
| 48 | Hawaii | ~10K | 0.73× | |
| 49 | Wisconsin | ~40K | 0.72× | |
| 50 | Utah | ~20K | 0.71× |
The strongest cross-interests of the hotstar audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | HDFC Bank | Business & Career | 95.56× | ||
| 02 | NDTV | Movies & TV | 92.25× | ||
| 03 | Nifty Fifty's | Food & Beverages | 89.59× | ||
| 04 | U.S. Polo Assn. | Fashion & Accessoires | 50.72× | ||
| 05 | Axis Bank | Business & Career | 50.00× | ||
| 06 | Ranbir Kapoor | Movies & TV | 36.21× | ||
| 07 | Ranveer Singh | Movies & TV | 33.41× | ||
| 08 | India national cricket team | Sports | 31.18× | ||
| 09 | Shah Rukh Khan | Movies & TV | 30.39× | ||
| 10 | Deepika Padukone | Movies & TV | 30.03× | ||
| 11 | Katrina Kaif | Movies & TV | 27.29× | ||
| 12 | The Tudors | Movies & TV | 23.12× | ||
| 13 | Swing trading | Business & Career | 22.93× | ||
| 14 | Casting | Movies & TV | 18.90× | ||
| 15 | Priyanka Chopra | Movies & TV | 15.74× | ||
| 16 | Indian Premier League | Sports | 13.49× | ||
| 17 | Bank of America | Business & Career | 11.78× | ||
| 18 | Canva | Technology & Electronics | 7.77× | ||
| 19 | Planet Fitness | Sports | 3.27× | ||
| 20 | Indeed.com | Business & Career | 3.24× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 1.88× | |
| Quality Awareness | PREMIUM | 1.75× | |
| Risk Appetite | THRILL | 1.31× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 0.73× | |
| Tradition | CONSERVATISM | 0.79× | |
| Extroversion | THRILL | 0.82× |
hotstar has an estimated audience of 3,784,291 people in United States, concentrated in California and New York.
51.4% of hotstar fans are female, 48.6% are male, with an average age of 37.4 years.
hotstar fans show strongest brand affinity for NDTV (92.25×), Bank of America (11.78×), and HDFC Bank (95.56×) over the country average.
hotstar fans in United States are most concentrated in California (reach ~600K), New York (reach ~400K), and Texas (reach ~400K). These three regions account for the largest share of the active audience.
Beyond hotstar itself, the audience over-indexes on Bank of America (11.78×), HDFC Bank (95.56×), India national cricket team (31.18×), and Nifty Fifty's (89.59×) 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 hotstar. 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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