A data profile of the people who buy, follow and care about Fast food restaurants in India — modelled from more than twelve digital signal sources. Fast food restaurants has an estimated audience of 5,179,978 people in India.
The average Fast food restaurants fan in India is 30.0 years old, more male, and lives primarily in Maharashtra.
The audience is concentrated in Maharashtra, Gujarat, Uttar Pradesh.
Top brand affinities include Fast food, Desserts, Coffee, with strongest over-indexing on Fast food (3.44× the country average).
Demographically, the Fast food restaurants audience skews more male with an average age of 30.0, and over-indexes on personality traits such as Price Sensitivity, Extroversion.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 29 regions tracked by Rascasse.
The typical Fast food restaurants fan in India is more male, around 30.0 years old, with strong Price Sensitivity tendencies and a notable affinity for Fast food.
The key figures that characterise the Fast food restaurants profile in India.
26.6% are female, 73.4% are male, average age 30.0.
| Metric | Value |
|---|---|
| Female | 26.6% |
| Male | 73.4% |
| Average age | 30.0 |
| Estimated audience size | 5,179,978 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 42% | |
| 20-29 | 27% | |
| 30-39 | 16% | |
| 40-49 | 8% | |
| 50+ | 6% |
of the worldwide Fast food restaurants audience comes from India.
| Country | Share |
|---|---|
| United States | 17.0% |
| Japan | 6.2% |
| Brazil | 5.3% |
Where the Fast food restaurants audience in India is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Telangana | ~100K | 1.98× | |
| 02 | Goa | ~10K | 1.95× | |
| 03 | Gujarat | ~200K | 1.53× | |
| 04 | Tamil Nadu | ~200K | 1.28× | |
| 05 | Rajasthan | ~100K | 1.21× | |
| 06 | Andhra Pradesh | ~80K | 1.19× | |
| 07 | Manipur | ~8K | 1.17× | |
| 08 | Karnataka | ~100K | 1.16× | |
| 09 | Assam | ~60K | 1.16× | |
| 10 | Uttarakhand | ~30K | 1.10× | |
| 11 | Punjab (region) | ~70K | 1.08× | |
| 12 | Nagaland | ~4K | 1.08× | |
| 13 | Sikkim | ~2K | 0.99× | |
| 14 | Odisha | ~50K | 0.94× | |
| 15 | Arunachal Pradesh | ~3K | 0.94× | |
| 16 | Mizoram | ~3K | 0.93× | |
| 17 | Maharashtra | ~200K | 0.92× | |
| 18 | Haryana | ~60K | 0.91× | |
| 19 | Meghalaya | ~5K | 0.91× | |
| 20 | Tripura | ~6K | 0.89× | |
| 21 | Chhattisgarh | ~30K | 0.80× | |
| 22 | Himachal Pradesh | ~20K | 0.80× | |
| 23 | Jharkhand | ~30K | 0.77× | |
| 24 | Madhya Pradesh | ~70K | 0.76× | |
| 25 | Jammu and Kashmir | ~20K | 0.74× | |
| 26 | Uttar Pradesh | ~200K | 0.73× | |
| 27 | West Bengal | ~100K | 0.72× | |
| 28 | Kerala | ~50K | 0.68× | |
| 29 | Bihar | ~60K | 0.61× |
The strongest cross-interests of the Fast food restaurants audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Fast casual restaurants | Food & Beverages | 4.47× | ||
| 02 | Fast food | Food & Beverages | 3.44× | ||
| 03 | Barbecue | Food & Beverages | 3.44× | ||
| 04 | Desserts | Food & Beverages | 3.16× | ||
| 05 | Coffee | Food & Beverages | 3.07× | ||
| 06 | Coffeehouses | Food & Beverages | 3.05× | ||
| 07 | Chocolate | Food & Beverages | 2.97× | ||
| 08 | Free software | Technology & Electronics | 2.73× | ||
| 09 | Tea | Food & Beverages | 2.66× | ||
| 10 | Friendship | Kids & Family | 2.26× | ||
| 11 | Motherhood | Kids & Family | 2.17× | ||
| 12 | Pop music | Music & Radio | 1.93× | ||
| 13 | Restaurants | Food & Beverages | 1.87× | ||
| 14 | Family | Kids & Family | 1.84× | ||
| 15 | Recipes | Food & Beverages | 1.80× | ||
| 16 | Cooking | Food & Beverages | 1.67× | ||
| 17 | Music videos | Music & Radio | 1.62× | ||
| 18 | Comedy movies | Movies & TV | 1.58× | ||
| 19 | Cosmetics | Beauty & Wellness | 1.57× | ||
| 20 | Current events | Arts & Culture | 1.50× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 1.64× | |
| Extroversion | THRILL | 1.57× | |
| Community Orientation | OPEN | 1.47× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Spirituality | BALANCE | 0.90× | |
| Luxury Orientation | PREMIUM | 0.92× | |
| Risk Appetite | THRILL | 0.95× |
Fast food restaurants has an estimated audience of 5,179,978 people in India, concentrated in Maharashtra and Gujarat.
26.6% of Fast food restaurants fans are female, 73.4% are male, with an average age of 30.0 years.
Fast food restaurants fans show strongest brand affinity for Fast food (3.44×), Desserts (3.16×), and Coffee (3.07×) over the country average.
Fast food restaurants fans in India are most concentrated in Maharashtra (reach ~200K), Gujarat (reach ~200K), and Uttar Pradesh (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Fast food restaurants itself, the audience over-indexes on Desserts (3.16×), Coffee (3.07×), Current events (1.5×), and Barbecue (3.44×) 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 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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