A data profile of the people who buy, follow and care about South Indian cuisine in United States — modelled from more than twelve digital signal sources. South Indian cuisine has an estimated audience of 440,221 people in United States.
The average South Indian cuisine fan in United States is 43.2 years old, more female, and lives primarily in Ohio.
The audience is concentrated in Ohio, California, Texas.
Top brand affinities include Nightlight, Vanessa Hudgens, Hindustan, with strongest over-indexing on Nightlight (81.43× the country average).
Demographically, the South Indian cuisine audience skews more female with an average age of 43.2, and over-indexes on personality traits such as Pet Ownership, Community Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical South Indian cuisine fan in United States is more female, around 43.2 years old, with strong Pet Ownership tendencies and a notable affinity for Nightlight.
The key figures that characterise the South Indian cuisine profile in United States.
62.6% are female, 37.4% are male, average age 43.2.
| Metric | Value |
|---|---|
| Female | 62.6% |
| Male | 37.4% |
| Average age | 43.2 |
| Estimated audience size | 440,221 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 10% | |
| 20-29 | 16% | |
| 30-39 | 23% | |
| 40-49 | 23% | |
| 50+ | 28% |
of the worldwide South Indian cuisine audience comes from United States.
| Country | Share |
|---|---|
| India | 48.7% |
| United States | 12.3% |
| United Kingdom | 5.9% |
Where the South Indian cuisine audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Ohio | ~80K | 5.90× | |
| 02 | New Jersey | ~20K | 2.02× | |
| 03 | Texas | ~50K | 1.39× | |
| 04 | Georgia | ~20K | 1.32× | |
| 05 | Illinois | ~20K | 1.31× | |
| 06 | North Carolina | ~20K | 1.30× | |
| 07 | Alaska | ~1K | 1.24× | |
| 08 | Vermont | <1K | 1.24× | |
| 09 | California | ~60K | 1.22× | |
| 10 | North Dakota | ~1K | 1.18× | |
| 11 | Pennsylvania | ~20K | 1.14× | |
| 12 | New York | ~30K | 1.12× | |
| 13 | Montana | ~1K | 1.09× | |
| 14 | Delaware | ~1K | 1.09× | |
| 15 | Rhode Island | ~2K | 1.08× | |
| 16 | Massachusetts | ~9K | 1.05× | |
| 17 | Washington, District of Columbia | ~1K | 1.03× | |
| 18 | West Virginia | ~2K | 1.02× | |
| 19 | Maine | ~2K | 1.02× | |
| 20 | New Hampshire | ~2K | 1.01× | |
| 21 | Connecticut | ~4K | 1.00× | |
| 22 | Hawaii | ~2K | 1.00× | |
| 23 | Idaho | ~2K | 0.99× | |
| 24 | South Dakota | ~1K | 0.98× | |
| 25 | Washington | ~9K | 0.96× | |
| 26 | Nebraska | ~2K | 0.96× | |
| 27 | New Mexico | ~2K | 0.96× | |
| 28 | Utah | ~4K | 0.95× | |
| 29 | Mississippi | ~3K | 0.95× | |
| 30 | Kentucky | ~5K | 0.94× | |
| 31 | Arkansas | ~3K | 0.94× | |
| 32 | Minnesota | ~6K | 0.93× | |
| 33 | Kansas | ~3K | 0.92× | |
| 34 | Virginia | ~10K | 0.91× | |
| 35 | Maryland | ~7K | 0.91× | |
| 36 | Iowa | ~3K | 0.91× | |
| 37 | Oklahoma | ~4K | 0.89× | |
| 38 | Louisiana | ~5K | 0.88× | |
| 39 | Nevada | ~4K | 0.88× | |
| 40 | Oregon | ~4K | 0.87× | |
| 41 | Alabama | ~5K | 0.86× | |
| 42 | South Carolina | ~6K | 0.85× | |
| 43 | Wisconsin | ~6K | 0.84× | |
| 44 | Missouri | ~6K | 0.83× | |
| 45 | Colorado | ~6K | 0.83× | |
| 46 | Tennessee | ~7K | 0.82× | |
| 47 | Indiana | ~7K | 0.82× | |
| 48 | Michigan | ~9K | 0.80× | |
| 49 | Arizona | ~7K | 0.79× | |
| 50 | Florida | ~20K | 0.65× |
The strongest cross-interests of the South Indian cuisine audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Hindustan | Politics & Society | 105.17× | ||
| 02 | Nightlight | Travel & Leisure | 81.43× | ||
| 03 | Vanessa Hudgens | Movies & TV | 44.53× | ||
| 04 | Alia Bhatt | Movies & TV | 43.54× | ||
| 05 | Daniel Dae Kim | Movies & TV | 37.60× | ||
| 06 | Brownie (folklore) | Food & Beverages | 35.16× | ||
| 07 | Steven Yeun | Movies & TV | 29.97× | ||
| 08 | NDTV | Movies & TV | 29.02× | ||
| 09 | Hindi | Politics & Society | 23.78× | ||
| 10 | Etihad Airways | Travel & Leisure | 20.90× | ||
| 11 | Shah Rukh Khan | Movies & TV | 20.17× | ||
| 12 | Cricket World Cup | Sports | 18.76× | ||
| 13 | International education | Business & Career | 16.13× | ||
| 14 | Sri Lanka | Travel & Leisure | 15.96× | ||
| 15 | Priyanka Chopra | Movies & TV | 13.63× | ||
| 16 | India national cricket team | Sports | 13.18× | ||
| 17 | Air Canada | Travel & Leisure | 11.42× | ||
| 18 | Taiwan | Travel & Leisure | 7.33× | ||
| 19 | Recipes | Food & Beverages | 2.26× | ||
| 20 | Cooking | Food & Beverages | 2.08× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 2.29× | |
| Community Orientation | OPEN | 2.21× | |
| Indulgence | JOY | 2.17× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.81× | |
| DIY Mentality | THRILL | 0.91× | |
| Family Orientation | CONSERVATISM | 0.91× |
South Indian cuisine has an estimated audience of 440,221 people in United States, concentrated in Ohio and California.
62.6% of South Indian cuisine fans are female, 37.4% are male, with an average age of 43.2 years.
South Indian cuisine fans show strongest brand affinity for Nightlight (81.43×), Vanessa Hudgens (44.53×), and Hindustan (105.17×) over the country average.
South Indian cuisine fans in United States are most concentrated in Ohio (reach ~80K), California (reach ~60K), and Texas (reach ~50K). These three regions account for the largest share of the active audience.
Beyond South Indian cuisine itself, the audience over-indexes on Vanessa Hudgens (44.53×), Hindustan (105.17×), Daniel Dae Kim (37.6×), and Hindi (23.78×) 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 South Indian cuisine. 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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