A data profile of the people who buy, follow and care about Bollywood movies in United States — modelled from more than twelve digital signal sources. Bollywood movies has an estimated audience of 18,416,771 people in United States.
The average Bollywood movies fan in United States is 38.1 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Rhianna (singer), Online shopping, Beauty, with strongest over-indexing on Rhianna (singer) (8.72× the country average).
Demographically, the Bollywood movies audience skews balanced with an average age of 38.1, and over-indexes on personality traits such as Extroversion, Sustainability.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Bollywood movies fan in United States is balanced, around 38.1 years old, with strong Extroversion tendencies and a notable affinity for Rhianna (singer).
The key figures that characterise the Bollywood movies profile in United States.
53.9% are female, 46.1% are male, average age 38.1.
| Metric | Value |
|---|---|
| Female | 53.9% |
| Male | 46.1% |
| Average age | 38.1 |
| Estimated audience size | 18,416,771 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 23% | |
| 20-29 | 20% | |
| 30-39 | 18% | |
| 40-49 | 18% | |
| 50+ | 20% |
of the worldwide Bollywood movies audience comes from United States.
| Country | Share |
|---|---|
| India | 24.6% |
| United States | 11.3% |
| Indonesia | 3.2% |
Where the Bollywood movies audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | New Jersey | ~1M | 2.60× | |
| 02 | New York | ~2M | 2.02× | |
| 03 | Texas | ~3M | 1.75× | |
| 04 | Virginia | ~800K | 1.75× | |
| 05 | Illinois | ~1M | 1.72× | |
| 06 | California | ~3.5M | 1.63× | |
| 07 | Washington | ~600K | 1.58× | |
| 08 | Massachusetts | ~600K | 1.57× | |
| 09 | Maryland | ~500K | 1.51× | |
| 10 | Georgia | ~800K | 1.49× | |
| 11 | Connecticut | ~200K | 1.30× | |
| 12 | Washington, District of Columbia | ~70K | 1.23× | |
| 13 | Pennsylvania | ~700K | 1.18× | |
| 14 | Michigan | ~500K | 1.12× | |
| 15 | Indiana | ~400K | 1.09× | |
| 16 | North Carolina | ~600K | 1.07× | |
| 17 | Minnesota | ~300K | 1.05× | |
| 18 | Delaware | ~50K | 1.05× | |
| 19 | Ohio | ~600K | 0.98× | |
| 20 | Oregon | ~200K | 0.97× | |
| 21 | Arizona | ~400K | 0.96× | |
| 22 | Kansas | ~100K | 0.94× | |
| 23 | Florida | ~1M | 0.93× | |
| 24 | New Hampshire | ~70K | 0.93× | |
| 25 | Tennessee | ~300K | 0.91× | |
| 26 | Alaska | ~40K | 0.90× | |
| 27 | Missouri | ~300K | 0.89× | |
| 28 | Vermont | ~30K | 0.89× | |
| 29 | Kentucky | ~200K | 0.86× | |
| 30 | Utah | ~100K | 0.86× | |
| 31 | Rhode Island | ~50K | 0.86× | |
| 32 | South Dakota | ~40K | 0.86× | |
| 33 | North Dakota | ~30K | 0.84× | |
| 34 | Wisconsin | ~200K | 0.83× | |
| 35 | Arkansas | ~100K | 0.83× | |
| 36 | Nebraska | ~80K | 0.82× | |
| 37 | Nevada | ~100K | 0.81× | |
| 38 | Oklahoma | ~200K | 0.80× | |
| 39 | Iowa | ~100K | 0.80× | |
| 40 | Maine | ~50K | 0.80× | |
| 41 | Montana | ~40K | 0.80× | |
| 42 | Colorado | ~200K | 0.79× | |
| 43 | Hawaii | ~60K | 0.79× | |
| 44 | New Mexico | ~70K | 0.77× | |
| 45 | Idaho | ~70K | 0.77× | |
| 46 | West Virginia | ~70K | 0.77× | |
| 47 | South Carolina | ~200K | 0.76× | |
| 48 | Mississippi | ~100K | 0.75× | |
| 49 | Alabama | ~200K | 0.74× | |
| 50 | Louisiana | ~200K | 0.70× |
The strongest cross-interests of the Bollywood movies audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Rhianna (singer) | Music & Radio | 8.72× | ||
| 02 | Eenadu | News | 8.72× | ||
| 03 | Music of Nigeria | Music & Radio | 7.20× | ||
| 04 | Pakistani clothing | Fashion & Accessoires | 6.39× | ||
| 05 | Mumbai | Travel & Leisure | 4.32× | ||
| 06 | Gaming | Games | 3.52× | ||
| 07 | Zoom (TV channel) | Technology & Electronics | 3.49× | ||
| 08 | Roblox | Games | 3.28× | ||
| 09 | China | Travel & Leisure | 3.19× | ||
| 10 | South Korea | Travel & Leisure | 3.15× | ||
| 11 | Asia | Travel & Leisure | 2.94× | ||
| 12 | Warriors (novel series) | Literature | 2.85× | ||
| 13 | Music education | Music & Radio | 2.82× | ||
| 14 | India | Travel & Leisure | 2.75× | ||
| 15 | Music school | Music & Radio | 2.74× | ||
| 16 | Twitch | Games | 2.23× | ||
| 17 | Google News | News | 2.20× | ||
| 18 | Online shopping | Shopping | 1.75× | ||
| 19 | Beauty | Beauty & Wellness | 1.75× | ||
| 20 | Movies | Movies & TV | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 1.26× | |
| Sustainability | BALANCE | 1.23× | |
| Mindfulness | BALANCE | 1.18× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Quality Awareness | PREMIUM | 0.73× | |
| Community Orientation | OPEN | 0.76× | |
| Need for Security | CONSERVATISM | 0.84× |
Bollywood movies has an estimated audience of 18,416,771 people in United States, concentrated in California and Texas.
53.9% of Bollywood movies fans are female, 46.1% are male, with an average age of 38.1 years.
Bollywood movies fans show strongest brand affinity for Rhianna (singer) (8.72×), Online shopping (1.75×), and Beauty (1.75×) over the country average.
Bollywood movies fans in United States are most concentrated in California (reach ~3.5M), Texas (reach ~3M), and New York (reach ~2M). These three regions account for the largest share of the active audience.
Beyond Bollywood movies itself, the audience over-indexes on Online shopping (1.75×), Beauty (1.75×), Movies (1.51×), and Music of Nigeria (7.2×) 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 Bollywood movies. 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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