A data profile of the people who buy, follow and care about Hindi languages in United States — modelled from more than twelve digital signal sources. Hindi languages has an estimated audience of 262,513 people in United States.
The average Hindi languages fan in United States is 37.0 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Sarah Paulson, Hindi, Vaccine-preventable diseases, with strongest over-indexing on Sarah Paulson (36.71× the country average).
Demographically, the Hindi languages audience skews more female with an average age of 37.0, and over-indexes on personality traits such as Patriotism, Pet Ownership.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Hindi languages fan in United States is more female, around 37.0 years old, with strong Patriotism tendencies and a notable affinity for Sarah Paulson.
The key figures that characterise the Hindi languages profile in United States.
63.1% are female, 36.9% are male, average age 37.0.
| Metric | Value |
|---|---|
| Female | 63.1% |
| Male | 36.9% |
| Average age | 37.0 |
| Estimated audience size | 262,513 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 23% | |
| 20-29 | 22% | |
| 30-39 | 22% | |
| 40-49 | 21% | |
| 50+ | 13% |
of the worldwide Hindi languages audience comes from United States.
| Country | Share |
|---|---|
| India | 44.9% |
| United States | 14.0% |
| Greece | 4.6% |
Where the Hindi languages audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Washington | ~7K | 1.29× | |
| 02 | California | ~40K | 1.23× | |
| 03 | Virginia | ~8K | 1.23× | |
| 04 | New York | ~20K | 1.18× | |
| 05 | Illinois | ~10K | 1.18× | |
| 06 | Georgia | ~10K | 1.18× | |
| 07 | Oregon | ~3K | 1.16× | |
| 08 | Texas | ~30K | 1.15× | |
| 09 | New Jersey | ~8K | 1.15× | |
| 10 | Massachusetts | ~6K | 1.12× | |
| 11 | Washington, District of Columbia | <1K | 1.12× | |
| 12 | Utah | ~3K | 1.11× | |
| 13 | Connecticut | ~3K | 1.10× | |
| 14 | Pennsylvania | ~10K | 1.08× | |
| 15 | North Carolina | ~8K | 1.07× | |
| 16 | Indiana | ~5K | 1.07× | |
| 17 | Maryland | ~5K | 1.07× | |
| 18 | Kentucky | ~3K | 1.06× | |
| 19 | Vermont | <1K | 1.05× | |
| 20 | Arizona | ~6K | 1.04× | |
| 21 | Ohio | ~8K | 1.03× | |
| 22 | Kansas | ~2K | 1.02× | |
| 23 | Michigan | ~7K | 1.01× | |
| 24 | Tennessee | ~5K | 1.01× | |
| 25 | Missouri | ~4K | 1.00× | |
| 26 | Colorado | ~4K | 0.99× | |
| 27 | New Hampshire | ~1K | 0.99× | |
| 28 | Alabama | ~4K | 0.98× | |
| 29 | Arkansas | ~2K | 0.98× | |
| 30 | Nebraska | ~1K | 0.98× | |
| 31 | Florida | ~20K | 0.97× | |
| 32 | Delaware | <1K | 0.97× | |
| 33 | Minnesota | ~4K | 0.96× | |
| 34 | New Mexico | ~1K | 0.96× | |
| 35 | Rhode Island | <1K | 0.96× | |
| 36 | South Carolina | ~4K | 0.95× | |
| 37 | Wisconsin | ~4K | 0.95× | |
| 38 | Nevada | ~2K | 0.95× | |
| 39 | Hawaii | ~1K | 0.95× | |
| 40 | Alaska | <1K | 0.95× | |
| 41 | Oklahoma | ~3K | 0.94× | |
| 42 | Iowa | ~2K | 0.94× | |
| 43 | Maine | <1K | 0.94× | |
| 44 | North Dakota | <1K | 0.94× | |
| 45 | Idaho | ~1K | 0.93× | |
| 46 | Mississippi | ~2K | 0.92× | |
| 47 | South Dakota | <1K | 0.92× | |
| 48 | West Virginia | ~1K | 0.91× | |
| 49 | Montana | <1K | 0.91× | |
| 50 | Louisiana | ~3K | 0.87× |
The strongest cross-interests of the Hindi languages audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Hindustan | Politics & Society | 90.39× | ||
| 02 | Vaccine-preventable diseases | Health | 47.95× | ||
| 03 | Sarah Paulson | Movies & TV | 36.71× | ||
| 04 | Sense8 | Movies & TV | 29.05× | ||
| 05 | NDTV | Movies & TV | 27.79× | ||
| 06 | Hindi | Politics & Society | 26.02× | ||
| 07 | Shah Rukh Khan | Movies & TV | 20.42× | ||
| 08 | Deepika Padukone | Movies & TV | 19.03× | ||
| 09 | Bordeaux wine | Food & Beverages | 17.88× | ||
| 10 | Holland Taylor | Movies & TV | 17.70× | ||
| 11 | Borussia Dortmund | Sports | 17.06× | ||
| 12 | International education | Business & Career | 13.89× | ||
| 13 | Josh Gad | Movies & TV | 13.83× | ||
| 14 | Priyanka Chopra | Movies & TV | 10.35× | ||
| 15 | United States national football team | Sports | 10.26× | ||
| 16 | Motivational speaking | Business & Career | 7.40× | ||
| 17 | Young-adult fiction | Literature | 7.17× | ||
| 18 | Hinduism | Politics & Society | 5.81× | ||
| 19 | Hair Extensions | Beauty & Wellness | 5.14× | ||
| 20 | Planet Fitness | Sports | 2.60× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 4.50× | |
| Pet Ownership | JOY | 1.77× | |
| Community Orientation | OPEN | 1.70× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.87× | |
| Family Orientation | CONSERVATISM | 0.92× | |
| DIY Mentality | THRILL | 0.95× |
Hindi languages has an estimated audience of 262,513 people in United States, concentrated in California and Texas.
63.1% of Hindi languages fans are female, 36.9% are male, with an average age of 37.0 years.
Hindi languages fans show strongest brand affinity for Sarah Paulson (36.71×), Hindi (26.02×), and Vaccine-preventable diseases (47.95×) over the country average.
Hindi languages fans in United States are most concentrated in California (reach ~40K), Texas (reach ~30K), and New York (reach ~20K). These three regions account for the largest share of the active audience.
Beyond Hindi languages itself, the audience over-indexes on Hindi (26.02×), Vaccine-preventable diseases (47.95×), Hindustan (90.39×), and Motivational speaking (7.4×) 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 Hindi languages. 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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.