A data profile of the people who buy, follow and care about Eating in India — modelled from more than twelve digital signal sources. Eating has an estimated audience of 10,336,366 people in India.
Eating has an estimated audience of 10,336,366 people in India. 29.3% are female, 70.7% are male, average age 31.4. Top brand affinities: Pizza, Dinner, Instant messaging, Customer service, Desserts.
Top brand affinities include Pizza, Dinner, Instant messaging, with strongest over-indexing on Pizza (3.5× the country average).
Demographically, the Eating audience skews more male with an average age of 31.4, and over-indexes on personality traits such as Indulgence, Career Orientation.
The typical Eating fan in India is more male, around 31.4 years old, with strong Indulgence tendencies and a notable affinity for Pizza.
The key figures that characterise the Eating profile in India.
29.3% are female, 70.7% are male, average age 31.4.
| Metric | Value |
|---|---|
| Female | 29.3% |
| Male | 70.7% |
| Average age | 31.4 |
| Estimated audience size | 10,336,366 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 37% | |
| 20-29 | 27% | |
| 30-39 | 17% | |
| 40-49 | 11% | |
| 50+ | 8% |
of the worldwide Eating audience comes from India.
| Country | Share |
|---|---|
| United States | 20.8% |
| Italy | 4.9% |
| Japan | 4.8% |
The strongest cross-interests of the Eating audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Pizza | Food & Beverages | 3.50× | ||
| 02 | Dinner | Food & Beverages | 3.20× | ||
| 03 | Customer service | Business & Career | 2.44× | ||
| 04 | Rice | Food & Beverages | 2.36× | ||
| 05 | Cheese | Food & Beverages | 2.29× | ||
| 06 | Lodging | Travel & Leisure | 2.11× | ||
| 07 | Cabinetry | Home & Garden | 1.99× | ||
| 08 | Fast food restaurants | Food & Beverages | 1.98× | ||
| 09 | Local food | Food & Beverages | 1.93× | ||
| 10 | Singapore | Travel & Leisure | 1.82× | ||
| 11 | Desserts | Food & Beverages | 1.79× | ||
| 12 | Biology | Health | 1.75× | ||
| 13 | Refrigerator | Home & Garden | 1.65× | ||
| 14 | Meat | Food & Beverages | 1.65× | ||
| 15 | Himalayas | Travel & Leisure | 1.60× | ||
| 16 | Instant messaging | Internet & Social Media | 1.57× | ||
| 17 | Vegetable | Food & Beverages | 1.56× | ||
| 18 | Wikipedia | Internet & Social Media | 1.56× | ||
| 19 | Volunteering | Politics & Society | 1.52× | ||
| 20 | Drawing | Home & Garden | 1.50× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 1.34× | |
| Career Orientation | POWER | 1.25× | |
| Convenience Orientation | PREMIUM | 1.25× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Social Media Usage | JOY | 0.71× | |
| Price Sensitivity | PREMIUM | 0.82× | |
| Need for Security | CONSERVATISM | 0.85× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in India who actively search for Eating. 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 India. 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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