A data profile of the people who buy, follow and care about Fast food in India — modelled from more than twelve digital signal sources. Fast food has an estimated audience of 12,460,202 people in India.
The average Fast food fan in India is 33.4 years old, more male, and lives primarily in Uttar Pradesh.
The audience is concentrated in Uttar Pradesh, Maharashtra, Rajasthan.
Top brand affinities include Finger food, Burger King, McDonald's, with strongest over-indexing on Finger food (2.21× the country average).
Demographically, the Fast food audience skews more male with an average age of 33.4, and over-indexes on personality traits such as Family Orientation, Price Sensitivity.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 29 regions tracked by Rascasse.
The typical Fast food fan in India is more male, around 33.4 years old, with strong Family Orientation tendencies and a notable affinity for Finger food.
The key figures that characterise the Fast food profile in India.
27.4% are female, 72.6% are male, average age 33.4.
| Metric | Value |
|---|---|
| Female | 27.4% |
| Male | 72.6% |
| Average age | 33.4 |
| Estimated audience size | 12,460,202 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 28% | |
| 20-29 | 31% | |
| 30-39 | 21% | |
| 40-49 | 12% | |
| 50+ | 9% |
of the worldwide Fast food audience comes from India.
| Country | Share |
|---|---|
| United States | 20.3% |
| Italy | 5.0% |
| Brazil | 4.7% |
Where the Fast food audience in India is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Punjab (region) | ~300K | 1.72× | |
| 02 | Goa | ~20K | 1.51× | |
| 03 | Assam | ~200K | 1.43× | |
| 04 | Rajasthan | ~400K | 1.41× | |
| 05 | Haryana | ~200K | 1.38× | |
| 06 | Uttarakhand | ~80K | 1.36× | |
| 07 | Uttar Pradesh | ~700K | 1.17× | |
| 08 | Gujarat | ~400K | 1.14× | |
| 09 | Meghalaya | ~10K | 1.12× | |
| 10 | Odisha | ~100K | 1.09× | |
| 11 | Jharkhand | ~100K | 1.09× | |
| 12 | Telangana | ~200K | 1.05× | |
| 13 | Himachal Pradesh | ~50K | 1.01× | |
| 14 | Tripura | ~20K | 0.96× | |
| 15 | Manipur | ~10K | 0.96× | |
| 16 | Sikkim | ~5K | 0.95× | |
| 17 | Madhya Pradesh | ~200K | 0.92× | |
| 18 | Arunachal Pradesh | ~7K | 0.90× | |
| 19 | Bihar | ~200K | 0.89× | |
| 20 | West Bengal | ~300K | 0.85× | |
| 21 | Nagaland | ~7K | 0.85× | |
| 22 | Chhattisgarh | ~70K | 0.83× | |
| 23 | Jammu and Kashmir | ~50K | 0.79× | |
| 24 | Maharashtra | ~500K | 0.78× | |
| 25 | Mizoram | ~6K | 0.74× | |
| 26 | Tamil Nadu | ~200K | 0.73× | |
| 27 | Andhra Pradesh | ~100K | 0.70× | |
| 28 | Karnataka | ~200K | 0.67× | |
| 29 | Kerala | ~90K | 0.50× |
The strongest cross-interests of the Fast food audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Iron Chef | Food & Beverages | 2.88× | ||
| 02 | Food cart | Food & Beverages | 2.39× | ||
| 03 | Finger food | Food & Beverages | 2.21× | ||
| 04 | Food Junction | Food & Beverages | 2.11× | ||
| 05 | Colonel Sanders | Food & Beverages | 2.11× | ||
| 06 | Bass (fish) | Pets & Animals | 1.98× | ||
| 07 | Food truck | Food & Beverages | 1.88× | ||
| 08 | Wendy's | Food & Beverages | 1.83× | ||
| 09 | Burger King | Food & Beverages | 1.79× | ||
| 10 | Cottage cheese | Food & Beverages | 1.74× | ||
| 11 | Parent-in-law | Kids & Family | 1.71× | ||
| 12 | South Indian cuisine | Food & Beverages | 1.62× | ||
| 13 | Surf Excel | Home & Garden | 1.60× | ||
| 14 | Buffalo wing | Food & Beverages | 1.59× | ||
| 15 | McDonald's | Food & Beverages | 1.58× | ||
| 16 | Papa John's Pizza | Food & Beverages | 1.58× | ||
| 17 | Greenpeace | Politics & Society | 1.58× | ||
| 18 | Mehndi Designs | Beauty & Wellness | 1.57× | ||
| 19 | Mirraw | Fashion & Accessoires | 1.57× | ||
| 20 | French fries | Food & Beverages | 1.54× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Family Orientation | CONSERVATISM | 0.92× | |
| Price Sensitivity | PREMIUM | 0.92× | |
| Creativity | OPEN | 0.88× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.65× | |
| Risk Appetite | THRILL | 0.69× | |
| Early Adopter Mentality | POWER | 0.69× |
Fast food has an estimated audience of 12,460,202 people in India, concentrated in Uttar Pradesh and Maharashtra.
27.4% of Fast food fans are female, 72.6% are male, with an average age of 33.4 years.
Fast food fans show strongest brand affinity for Finger food (2.21×), Burger King (1.79×), and McDonald's (1.58×) over the country average.
Fast food fans in India are most concentrated in Uttar Pradesh (reach ~700K), Maharashtra (reach ~500K), and Rajasthan (reach ~400K). These three regions account for the largest share of the active audience.
Beyond Fast food itself, the audience over-indexes on Burger King (1.79×), McDonald's (1.58×), Food truck (1.88×), and Food cart (2.39×) compared to the India average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in India who actively search for Fast food. 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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