A data profile of the people who buy, follow and care about Fast casual restaurants in India — modelled from more than twelve digital signal sources. Fast casual restaurants has an estimated audience of 4,050,103 people in India.
The average Fast casual restaurants fan in India is 34.7 years old, more male, and lives primarily in Uttar Pradesh.
The audience is concentrated in Uttar Pradesh, Maharashtra, West Bengal.
Top brand affinities include Sex and the City, Fast food restaurants, Diners, with strongest over-indexing on Sex and the City (2.11× the country average).
Demographically, the Fast casual restaurants audience skews more male with an average age of 34.7, and over-indexes on personality traits such as Design Affinity, Convenience Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 23 regions tracked by Rascasse.
The typical Fast casual restaurants fan in India is more male, around 34.7 years old, with strong Design Affinity tendencies and a notable affinity for Sex and the City.
The key figures that characterise the Fast casual restaurants profile in India.
26.8% are female, 73.2% are male, average age 34.7.
| Metric | Value |
|---|---|
| Female | 26.8% |
| Male | 73.2% |
| Average age | 34.7 |
| Estimated audience size | 4,050,103 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 23% | |
| 20-29 | 31% | |
| 30-39 | 21% | |
| 40-49 | 14% | |
| 50+ | 11% |
of the worldwide Fast casual restaurants audience comes from India.
| Country | Share |
|---|---|
| United States | 17.1% |
| Japan | 7.8% |
| Brazil | 5.6% |
Where the Fast casual restaurants audience in India is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Meghalaya | ~7K | 1.56× | |
| 02 | Goa | ~6K | 1.31× | |
| 03 | Himachal Pradesh | ~20K | 1.08× | |
| 04 | Uttarakhand | ~20K | 1.05× | |
| 05 | Chhattisgarh | ~30K | 1.03× | |
| 06 | Jammu and Kashmir | ~20K | 1.01× | |
| 07 | Jharkhand | ~30K | 1.00× | |
| 08 | Assam | ~40K | 0.96× | |
| 09 | Punjab (region) | ~50K | 0.95× | |
| 10 | Andhra Pradesh | ~50K | 0.95× | |
| 11 | Odisha | ~40K | 0.95× | |
| 12 | Haryana | ~50K | 0.94× | |
| 13 | Rajasthan | ~80K | 0.93× | |
| 14 | Bihar | ~70K | 0.93× | |
| 15 | Madhya Pradesh | ~70K | 0.93× | |
| 16 | Kerala | ~60K | 0.93× | |
| 17 | Gujarat | ~100K | 0.92× | |
| 18 | West Bengal | ~100K | 0.91× | |
| 19 | Telangana | ~50K | 0.91× | |
| 20 | Tamil Nadu | ~90K | 0.90× | |
| 21 | Uttar Pradesh | ~200K | 0.89× | |
| 22 | Karnataka | ~90K | 0.87× | |
| 23 | Maharashtra | ~200K | 0.82× |
The strongest cross-interests of the Fast casual restaurants audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Foodservice | Food & Beverages | 7.68× | ||
| 02 | Fast food restaurants | Food & Beverages | 4.75× | ||
| 03 | Greek cuisine | Food & Beverages | 4.75× | ||
| 04 | German cuisine | Food & Beverages | 4.71× | ||
| 05 | Spanish cuisine | Food & Beverages | 4.68× | ||
| 06 | Latin American cuisine | Food & Beverages | 4.68× | ||
| 07 | Diners | Food & Beverages | 4.39× | ||
| 08 | Local food | Food & Beverages | 3.69× | ||
| 09 | Middle Eastern cuisine | Food & Beverages | 3.56× | ||
| 10 | Thai cuisine | Food & Beverages | 3.53× | ||
| 11 | Mexican cuisine | Food & Beverages | 3.41× | ||
| 12 | Online food ordering | Food & Beverages | 2.86× | ||
| 13 | Italian cuisine | Food & Beverages | 2.86× | ||
| 14 | Party dress | Fashion & Accessoires | 2.58× | ||
| 15 | Wedding ring | Fashion & Accessoires | 2.22× | ||
| 16 | Bridesmaid | Kids & Family | 2.19× | ||
| 17 | Sex and the City | Movies & TV | 2.11× | ||
| 18 | Fast food | Food & Beverages | 2.07× | ||
| 19 | Recipes | Food & Beverages | 1.70× | ||
| 20 | Restaurants | Food & Beverages | 1.55× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 1.42× | |
| Convenience Orientation | PREMIUM | 1.42× | |
| Indulgence | JOY | 1.40× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.64× | |
| Need for Security | CONSERVATISM | 0.75× | |
| Spirituality | BALANCE | 0.94× |
Fast casual restaurants has an estimated audience of 4,050,103 people in India, concentrated in Uttar Pradesh and Maharashtra.
26.8% of Fast casual restaurants fans are female, 73.2% are male, with an average age of 34.7 years.
Fast casual restaurants fans show strongest brand affinity for Sex and the City (2.11×), Fast food restaurants (4.75×), and Diners (4.39×) over the country average.
Fast casual restaurants fans in India are most concentrated in Uttar Pradesh (reach ~200K), Maharashtra (reach ~200K), and West Bengal (reach ~100K). These three regions account for the largest share of the active audience.
Beyond Fast casual restaurants itself, the audience over-indexes on Fast food restaurants (4.75×), Diners (4.39×), Foodservice (7.68×), and Local food (3.69×) 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 casual restaurants. 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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