A data profile of the people who buy, follow and care about University of Delhi in United States — modelled from more than twelve digital signal sources. University of Delhi has an estimated audience of 810,749 people in United States.
The average University of Delhi fan in United States is 26.2 years old, balanced, and lives primarily in California.
The audience is concentrated in California, New York, Texas.
Top brand affinities include Online gambling, Ranveer Singh, International education, with strongest over-indexing on Online gambling (47.16× the country average).
Demographically, the University of Delhi audience skews balanced with an average age of 26.2, and over-indexes on personality traits such as Community Orientation, Pet Ownership.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical University of Delhi fan in United States is balanced, around 26.2 years old, with strong Community Orientation tendencies and a notable affinity for Online gambling.
The key figures that characterise the University of Delhi profile in United States.
49.0% are female, 51.0% are male, average age 26.2.
| Metric | Value |
|---|---|
| Female | 49.0% |
| Male | 51.0% |
| Average age | 26.2 |
| Estimated audience size | 810,749 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 56% | |
| 20-29 | 26% | |
| 30-39 | 10% | |
| 40-49 | 5% | |
| 50+ | 2% |
Where the University of Delhi audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | New York | ~60K | 1.42× | |
| 02 | Vermont | ~2K | 1.34× | |
| 03 | New Jersey | ~30K | 1.31× | |
| 04 | South Dakota | ~2K | 1.30× | |
| 05 | Massachusetts | ~20K | 1.21× | |
| 06 | Washington, District of Columbia | ~3K | 1.15× | |
| 07 | Rhode Island | ~3K | 1.14× | |
| 08 | Montana | ~3K | 1.14× | |
| 09 | Delaware | ~3K | 1.14× | |
| 10 | Virginia | ~20K | 1.09× | |
| 11 | West Virginia | ~4K | 1.08× | |
| 12 | Maine | ~3K | 1.08× | |
| 13 | Alaska | ~2K | 1.08× | |
| 14 | New Hampshire | ~3K | 1.07× | |
| 15 | Hawaii | ~4K | 1.06× | |
| 16 | Maryland | ~10K | 1.04× | |
| 17 | Idaho | ~4K | 1.02× | |
| 18 | North Dakota | ~2K | 1.02× | |
| 19 | New Mexico | ~4K | 1.01× | |
| 20 | Nebraska | ~4K | 1.01× | |
| 21 | Connecticut | ~8K | 1.00× | |
| 22 | Mississippi | ~7K | 1.00× | |
| 23 | California | ~90K | 0.99× | |
| 24 | Washington | ~20K | 0.97× | |
| 25 | Arkansas | ~6K | 0.96× | |
| 26 | Kansas | ~6K | 0.96× | |
| 27 | Iowa | ~6K | 0.95× | |
| 28 | Oklahoma | ~8K | 0.92× | |
| 29 | Utah | ~7K | 0.92× | |
| 30 | Louisiana | ~10K | 0.91× | |
| 31 | Kentucky | ~9K | 0.91× | |
| 32 | Oregon | ~8K | 0.91× | |
| 33 | Nevada | ~7K | 0.91× | |
| 34 | Alabama | ~10K | 0.90× | |
| 35 | Pennsylvania | ~20K | 0.88× | |
| 36 | South Carolina | ~10K | 0.88× | |
| 37 | Illinois | ~20K | 0.87× | |
| 38 | Georgia | ~20K | 0.87× | |
| 39 | Indiana | ~10K | 0.87× | |
| 40 | Missouri | ~10K | 0.87× | |
| 41 | Wisconsin | ~10K | 0.87× | |
| 42 | Minnesota | ~10K | 0.87× | |
| 43 | Tennessee | ~10K | 0.86× | |
| 44 | Arizona | ~10K | 0.85× | |
| 45 | Colorado | ~10K | 0.85× | |
| 46 | Michigan | ~20K | 0.84× | |
| 47 | North Carolina | ~20K | 0.82× | |
| 48 | Texas | ~60K | 0.81× | |
| 49 | Ohio | ~20K | 0.81× | |
| 50 | Florida | ~40K | 0.70× |
The strongest cross-interests of the University of Delhi audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Ranveer Singh | Movies & TV | 96.73× | ||
| 02 | International education | Business & Career | 57.42× | ||
| 03 | Online gambling | Games | 47.16× | ||
| 04 | Paddy Power | Games | 42.37× | ||
| 05 | Drone racing | Sports | 37.15× | ||
| 06 | Marshmallow | Food & Beverages | 34.27× | ||
| 07 | Cultural tourism | Travel & Leisure | 32.90× | ||
| 08 | Jeff Bezos | Business & Career | 28.84× | ||
| 09 | Alia Bhatt | Movies & TV | 28.06× | ||
| 10 | Bodrum | Travel & Leisure | 27.34× | ||
| 11 | Online casino | Games | 26.63× | ||
| 12 | Tracy Chapman | Music & Radio | 21.48× | ||
| 13 | Forex Online Trading | Business & Career | 20.91× | ||
| 14 | Sri Lanka | Travel & Leisure | 16.99× | ||
| 15 | Disneyland Paris | Travel & Leisure | 13.90× | ||
| 16 | Harvard University | Business & Career | 10.72× | ||
| 17 | CheapOair | Travel & Leisure | 10.42× | ||
| 18 | Khan Academy | Business & Career | 7.55× | ||
| 19 | Broadway theatre | Travel & Leisure | 6.72× | ||
| 20 | Android (operating system) | Technology & Electronics | 2.98× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Community Orientation | OPEN | 3.69× | |
| Pet Ownership | JOY | 3.38× | |
| Risk Appetite | THRILL | 1.88× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Family Orientation | CONSERVATISM | 0.75× | |
| Convenience Orientation | PREMIUM | 0.85× | |
| Creativity | OPEN | 0.89× |
University of Delhi has an estimated audience of 810,749 people in United States, concentrated in California and New York.
49.0% of University of Delhi fans are female, 51.0% are male, with an average age of 26.2 years.
University of Delhi fans show strongest brand affinity for Online gambling (47.16×), Ranveer Singh (96.73×), and International education (57.42×) over the country average.
University of Delhi fans in United States are most concentrated in California (reach ~90K), New York (reach ~60K), and Texas (reach ~60K). These three regions account for the largest share of the active audience.
Beyond University of Delhi itself, the audience over-indexes on Ranveer Singh (96.73×), International education (57.42×), Jeff Bezos (28.84×), and Marshmallow (34.27×) 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 University of Delhi. 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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