Nutrition
- survey
- 9,097 respondents — 7,614 answered the eat-out question, 7,632 answered protein sources, 7,669 declared a diet
- Frequent eating-out collapses with age — from 27.9% in the 20s to 10.9% in the 50s
- Bengaluru and Chennai eat out most; Pune least
- Dal is the floor; the supplement layer is thin
- The "men supplement more" gap is a story about men in their 20s
- Whey use rises almost linearly with income
- Vegetarianism splits the metros by 32 points — the backdrop to Bengaluru's B12 problem
- Fish is a coastal protein, not a national one
Key takeaways
- 23.5% of urban working Indians eat out or order in three or more times a week — and the share more than doubles from the 50s to the 20s, falling from 10.9% to 27.9% as age drops.
- Bengaluru and Chennai eat out most — 30.0% and 30.4% of professionals there hit the three-plus-times threshold, against 18.9% in Pune. The frequent-takeaway habit is a metro-by-metro story, not a national one.
- Dal is still the floor of the Indian protein plate: 80.7% rely on it. Eggs (63.5%) and chicken (56.5%) follow. The supplement layer is thin — only 12.1% use whey, 7.7% plant-protein powder.
- The "men supplement more" gap is almost entirely a story about men in their 20s. Male whey use runs 18.3% in the 20s against 9.5% for women; by the 30s the gap collapses to two points.
- Whey use tracks income almost linearly — from 10.0% under ₹3 lakh to 19.2% above ₹40 lakh. Engineered protein is, for now, a premium good.
- Vegetarianism splits the metros violently: 48.7% in Delhi NCR against 16.1% in Hyderabad and Chennai — a 32-point spread, and the dietary backdrop to Bengaluru's worst-in-metro B12 deficiency.
Of 7,614 urban working Indians who answered the eat-out question in WHI 2026, 23.5% eat out or order in three or more times a week — and 8.5% do so five times a week or more. The reference point matters here. India's food-delivery platforms have rebuilt a meaningful share of the country's weekday meals around an app: the sector generated roughly ₹1.2 lakh crore in gross output in FY24, led by Swiggy and Zomato (NCAER–Prosus). The survey reads that shift from the demand side — close to a quarter of the working population now treats restaurant or delivery food as a thrice-weekly default rather than an occasion.
| Eat-out / order-in frequency | Share | n |
|---|---|---|
| I don't order in or eat out | 21.7% | 1,650 |
| 1–2 times a week | 54.8% | 4,171 |
| 3–4 times a week | 15.0% | 1,145 |
| 5–6 times a week | 4.8% | 366 |
| 7+ times a week | 3.7% | 282 |
A quarter of the workforce eats out three-plus times a week
Eat-out / order-in frequency — the bottom three bands are the 23.5% 'frequent' group
The frequent cohort (3–4, 5–6, 7+) sums to 23.5%; 8.5% eat out five or more times a week. The dominant pattern is still restraint — three in four abstain or keep it to once or twice.
The dominant pattern is restraint, not excess — more than three in four either abstain or keep restaurant food to once or twice a week. The frequent group is a minority. But it is a metabolically loaded minority, and as the cuts below show, it concentrates in the youngest, highest-spending, most urban slice of the workforce — the same slice already carrying the steepest glucose curve in this report.
Frequent eating-out collapses with age — from 27.9% in the 20s to 10.9% in the 50s#
| Age band | Sample | Eats out 3+ times/week |
|---|---|---|
| 20–29 | 3,055 | 27.9% |
| 30–39 | 3,257 | 21.9% |
| 40–49 | 1,011 | 18.8% |
| 50–59 | 229 | 10.9% |
Frequent eating-out collapses with age
Share eating out 3+ times a week, by age band
A 2.6× fall from the 20s to the 50s — the eat-out curve runs opposite to almost every biomarker curve in this report. The 50s cell is smaller (n = 229); read it as directional.
The eat-out curve runs the opposite way to almost every biomarker curve in this report. Glucose dysfunction, blood pressure, and liver strain all climb with age; restaurant frequency falls steadily, halving and then halving again. A professional in their 20s is two and a half times more likely than one in their 50s to be eating out three times a week. The drivers are familiar — younger workers eat out more because they have fewer dependents to cook for, smaller kitchens, longer office hours, and more disposable income relative to fixed commitments. The household forms; the habit recedes.
The two curves crossing matters. The age group eating restaurant food most often is the age group whose metabolism is still mostly forgiving of it. The age group eating it least is the one that can least afford the glycaemic load. The behaviour and the biological vulnerability are misaligned by about two decades — the Blood Sugar page's central finding, that glucose dysfunction doubles from the 20s to the 30s, restated through a lunch order.
Bengaluru and Chennai eat out most; Pune least#
| City | Sample | Eats out 3+ times/week |
|---|---|---|
| Chennai | 415 | 30.4% |
| Bengaluru | 1,611 | 30.0% |
| Kolkata | 269 | 26.4% |
| Mumbai | 1,050 | 23.7% |
| Delhi NCR | 1,052 | 21.5% |
| Hyderabad | 801 | 20.6% |
| Pune | 994 | 18.9% |
Bengaluru and Chennai eat out most; Pune least
Share eating out 3+ times a week, by city, ranked
┄ National survey average — 23.5%
Values in %The spread across metros (18.9%–30.4%) is wider than the spread across genders. Bengaluru's reading concentrates in its young, delivery-dense cohort.
The spread across metros is wider than the spread across genders. Bengaluru and Chennai professionals are around 60% more likely than Pune professionals to eat out three or more times a week. Bengaluru's reading is consistent with the rest of its profile in this report — it is the youngest major-metro cohort in the sample, the densest delivery market in the country, and a workforce structured around long office hours and single-occupant flats. Pune at the other end fits its sleep profile too: smaller scale, more home-cooked routine, a shorter working day.
The Bengaluru reading concentrates in the young. Within the city, frequent eating-out runs 34.3% in the 20s and falls to 23.1% by the 40s — so the city-level number is largely the city's age structure expressing itself, amplified by the delivery infrastructure built around exactly that cohort.
Dal is the floor; the supplement layer is thin#
Protein sources are multi-select — respondents could name every source they use regularly, so the column does not sum to 100%.
| Protein source | Share who use it regularly | n |
|---|---|---|
| Dal / chana / rajma | 80.7% | 6,162 |
| Eggs | 63.5% | 4,848 |
| Chicken | 56.5% | 4,310 |
| Paneer / tofu / soy | 55.6% | 4,247 |
| Fish | 36.3% | 2,767 |
| Other | 12.3% | 935 |
| Whey protein / casein | 12.1% | 920 |
| Plant-protein powder | 7.7% | 591 |
Dal is the floor; the supplement layer is thin
Share who use each protein source regularly — engineered supplements (brass) sit far below the food sources
Multi-select — respondents could name every source, so the column does not sum to 100%. The cliff between fish (36.3%) and whey (12.1%) separates food from engineered protein.
Four out of five working Indians anchor their protein on pulses. This is the single most stable finding in the nutrition data across both editions of the report, and it is genuinely a strength — dal is cheap, complete enough when paired with cereal, culturally universal, and indifferent to income. The problem is not the floor. The problem is what sits on top of it.
The bottom two rows are the more telling read. Engineered protein — whey and plant powders — reaches barely one in eight and one in thirteen of the workforce respectively. Awareness of protein as a deliberate dietary target, rather than a thing that arrives incidentally with dinner, is still confined to a small and, as the next two cuts show, distinctly privileged minority.
The "men supplement more" gap is a story about men in their 20s#
| Whey use, 20s | Whey use, 30s | Whey use, 40s | |
|---|---|---|---|
| Women | 9.5% | 9.9% | 7.9% |
| Men | 18.3% | 11.4% | 8.2% |
The 'men supplement more' gap is a story about men in their 20s
Whey use by gender across age bands — the gap closes as age rises
Men supplement at nearly twice the rate of women in the 20s (18.3% vs 9.5%); by the 30s the gap is a point and a half, and by the 40s it is gone.
Across the whole sample, men use whey at 13.3% against 9.3% for women — a real but modest gap. Split by age, the gap turns out to live almost entirely in one cell. Among professionals in their 20s, men supplement at nearly twice the rate of women; by the 30s the difference narrows to a point and a half, and by the 40s it is gone. The headline gender gap in protein supplementation is not a fact about men and women. It is a fact about gym culture in the male 20s, and it ages out fast.
This reframes the equivalent WHI 2025 finding, which reported a flat "2.8:1 male" supplementation ratio without the age split. The ratio was real but the framing was incomplete — it read as a durable gender difference when it is really a young-male behaviour that fades as the cohort ages into other priorities.
Whey use rises almost linearly with income#
| Income band | Sample | Whey use |
|---|---|---|
| Under ₹3 lakh | 987 | 10.0% |
| ₹3–6 lakh | 2,176 | 11.0% |
| ₹6–10 lakh | 1,524 | 12.0% |
| ₹10–15 lakh | 1,029 | 12.1% |
| ₹15–25 lakh | 789 | 15.0% |
| ₹25–40 lakh | 398 | 16.3% |
| ₹40 lakh+ | 146 | 19.2% |
Whey use rises almost linearly with income
Whey use by income band, low to high — a shallow but steady gradient
Adoption nearly doubles from the bottom band (10.0%) to the top (19.2%). Absolute values are low — the honest read is a clean climb, not a dramatic one.
Engineered protein nearly doubles in adoption from the bottom income band to the top. The gradient is shallow but it is clean — every step up the income ladder adds whey users. Two readings fit, and both are probably true. Supplement protein is a discretionary spend, so cost screens out lower earners. And protein-as-a-target is a piece of health literacy that travels with income, gym membership, and the social networks where the habit is normal. Whichever weighs more, the result is the same: the workforce slice most able to optimise its protein intake is the slice that already has the most metabolic headroom, and the slice that would benefit most from a few extra grams a day is the slice least likely to be buying it.
Vegetarianism splits the metros by 32 points — the backdrop to Bengaluru's B12 problem#
| City | Sample | Vegetarian | Non-vegetarian | Eggetarian |
|---|---|---|---|---|
| Delhi NCR | 1,059 | 48.7% | 38.4% | 12.8% |
| Pune | 1,004 | 38.6% | 51.6% | 9.8% |
| Mumbai | 1,055 | 35.5% | 56.6% | 7.9% |
| Bengaluru | 1,622 | 25.0% | 65.3% | 9.7% |
| Hyderabad | 808 | 16.1% | 77.1% | 6.8% |
Vegetarianism splits the metros by 32 points
Diet declaration by city — vegetarian / eggetarian / non-vegetarian, ordered by vegetarian share
National split: 32.7% vegetarian, 9.0% eggetarian, 58.2% non-vegetarian. The diet-to-B12 link is an audience-level pattern, not an individual one — the survey diet responses and biomarker B12 readings come from overlapping but unlinked populations.
Nationally the split is 58.2% non-vegetarian, 32.7% vegetarian, 9.0% eggetarian. The metro-level figures barely resemble each other. Delhi NCR is close to half-vegetarian; Hyderabad and Chennai (16.1% each) and Kolkata (14.2%) are overwhelmingly meat- and fish-eating. This is the strongest dietary cut in the survey, and it carries a clinical tail.
The cut that does not behave as expected is Bengaluru. The city carries the worst B12 deficiency of any metro in the WHI 2026 biomarker data — 78.8% of tested reports below threshold (the Vitamin B12 and Bengaluru pages take up that floor in full) — yet its vegetarian share, at 25.0%, is below the national average and well under Delhi's. Vegetarianism alone does not explain Bengaluru's B12 floor. The likelier read is that the city's deficiency is driven less by who avoids meat than by how little of the population, vegetarian or not, gets adequate dairy and supplementation — a measurement-friendly deficit that no one is currently measuring at scale.
Fish is a coastal protein, not a national one#
| City | Sample | Eats fish regularly |
|---|---|---|
| Kolkata | 268 | 69.0% |
| Chennai | 414 | 51.7% |
| Hyderabad | 803 | 42.2% |
| Mumbai | 1,051 | 39.2% |
| Bengaluru | 1,612 | 36.8% |
| Pune | 1,002 | 29.2% |
| Delhi NCR | 1,054 | 19.7% |
Fish is a coastal protein, not a national one
Share who eat fish regularly, by city — coastal/riverine cities (brass) sit two to three times above land-locked Delhi NCR
The one protein source whose adoption is governed by geography rather than income or age — there is no single national protein plate.
Fish consumption maps onto the coastline. Kolkata, Chennai, and the coastal-metro cluster sit two to three times above land-locked Delhi NCR. This is the one protein source in the survey whose adoption is governed by geography rather than income or age — which makes it the cleanest illustration of how regional the "Indian diet" actually is. There is no single national protein plate; there are several, and which one a worker eats from is set substantially by where the office is.
References
- 1Swaminathan, S., Vaz, M. & Kurpad, A.V. Protein intakes in India. British Journal of Nutrition 108, S50–S58 (2012). https://doi.org/10.1017/S0007114512002413
- 2Green, R., Allen, L.H., Bjørke-Monsen, A.L. et al. Vitamin B12 deficiency. Nature Reviews Disease Primers 3, 17040 (2017). https://doi.org/10.1038/nrdp.2017.40
- 3Anand, S.S., Hawkes, C., de Souza, R.J. et al. Food consumption and its impact on cardiovascular disease: importance for developing countries. Journal of the American College of Cardiology 66, 1590–1614 (2015). https://doi.org/10.1016/j.jacc.2015.07.050
- 4Misra, A., Singhal, N., Sivakumar, B. et al. Nutrition transition in India: secular trends in dietary intake and their relationship to diet-related non-communicable diseases. Journal of Diabetes 3, 278–292 (2011). https://doi.org/10.1111/j.1753-0407.2011.00139.x