LoopWHI ’26

Nicotine

survey
9,097 respondents — 7,223 answered the nicotine-use question

Key takeaways

  • 17.2% of urban working Indians currently use nicotine in some form — down from 20.5% in WHI 2025, on a sample more than twice the size. The headline moved the right way for once.
  • Men use nicotine at 21.7%, women at 7.2% — a 3× gap that widens with age. Male use is flat near a quarter across every decade of working life; female use falls from 8.1% in the 20s to 2.5% in the 50s.
  • Drinkers are 7.8× more likely than non-drinkers to use nicotine (37.9% vs 4.9%). Nicotine is rarely a standalone habit in this population.
  • Engineering and software roles are the cleanest major job function at 12.5%; sales and customer-facing roles run roughly double — 27.0% in Sales/BD, 32.9% in Customer Success.
  • Smokeless tobacco — gutka, khaini, pan masala — is a 1.7% category that is almost entirely male (2.3% vs 0.5%) and concentrates in older, lower-income, blue-collar-adjacent work. It is a different product, a different cancer, and a different intervention from the cigarette.
  • Vaping is still marginal at 0.5%. The discreet-product wave the 2025 report flagged has not arrived in this workforce yet.

Of 7,223 urban working Indians who answered the nicotine question in WHI 2026, 17.2% currently use nicotine in some form — cigarettes, bidis, smokeless tobacco, vapes, or replacement products. That sits below the 28.6% national adult tobacco prevalence the Global Adult Tobacco Survey recorded for India, and slightly below the roughly one-in-five global tobacco average. The urban salaried class smokes less than the country it lives in — but not by the margin its self-image would predict.

Form Share of all respondents n
Non-user 79.7% 5,754
Daily smoker (cigarettes/bidis) 8.2% 589
Occasional smoker (1–3/week) 6.4% 465
Quit in the last 12 months 3.2% 230
Smokeless tobacco (gutka, khaini, pan masala) 1.7% 126
E-cigarette / vape 0.5% 33
Nicotine replacement (patches, gums, lozenges) 0.4% 26

Five in six current users are inhaling smoke

Share of all respondents by nicotine form, ranked — daily and occasional smoking are the combustible block

Non-user
n = 5,754
79.7%
Daily smoker (cigarettes / bidis)
n = 589 · combustible
8.2%
Occasional smoker (1–3 / week)
n = 465 · combustible
6.4%
Quit in the last 12 months
n = 230
3.2%
Smokeless tobacco (gutka, khaini, pan masala)
n = 126
1.7%
E-cigarette / vape
n = 33
0.5%
Nicotine replacement (patches, gums, lozenges)
n = 26
0.4%
Values in %

Daily + occasional smoking together account for 14.6 of the 17.2 points of current use. Self-report under-counts socially sanctioned behaviour — read these as a floor.

The combustible cigarette still dominates. Daily and occasional smoking together account for 14.6 of the 17.2 points — five in six current users are inhaling smoke. Smokeless tobacco and vaping, the two product categories that draw the most public commentary, together make up barely two points of the total.

The rate fell three points, on a sample twice the size#

WHI 2025 WHI 2026 Δ
Sample 3,436 9,097 2.6×
Current nicotine use 20.5% 17.2% −3.3 pp

The 2026 reading rests on a sample 2.6× larger than 2025's. A three-point drop on a base that size is not noise. The two survey instruments are close but not identical, so the comparison is directional rather than exact — but the direction is down, and it is the only major lifestyle indicator in this year's report that improved. Sleep got worse. Stress held. Nicotine receded.

The 3.2% who report quitting in the last twelve months sit underneath that movement. Set against the 17.2% still using, recent quitters represent about one exit for every five current users — a churn rate consistent with a habit that is slowly contracting in this cohort rather than holding steady.

Men use nicotine three times as often as women, and the gap widens with age#

Sample Current nicotine use
Men 4,926 21.7%
Women 2,271 7.2%

Men use nicotine three times as often as women

Current nicotine use by gender — a 14.5-point gap, the widest of any lifestyle indicator in the report

Men
n = 4,926 · +14.5 pp
21.7%
Women
n = 2,271
7.2%
Values in %

More than one in five working men currently uses nicotine; fewer than one in fourteen working women does.

The gender gap on nicotine is the widest of any lifestyle indicator in this report — wider than the gap on sleep, on alcohol, on stress. More than one in five working men currently uses nicotine; fewer than one in fourteen working women does. But the aggregate gap hides a sharper pattern in the age cut.

Segment Sample Current nicotine use
Men, 20–29 1,827 21.6%
Men, 30–39 2,230 21.4%
Men, 40–49 692 22.7%
Men, 50–59 142 23.9%
Women, 20–29 1,075 8.1%
Women, 30–39 845 7.5%
Women, 40–49 256 4.7%
Women, 50–59 80 2.5%

The male line is flat for life; the female line slopes to the floor

Current nicotine use by gender across age bands

MenWomen

The gender gap widens from 13.5 points in the 20s to 21.4 points in the 50s. The oldest cells are small (men 50–59 n = 142, women 50–59 n = 80) — read the slopes, not the single points.

Male nicotine use is structural, not generational. It sits near a quarter in the 20s and stays there into the 50s — a flat line across the entire working lifespan. Whatever drives men to nicotine is not a phase that careers grow out of. Female use runs the opposite way: highest among women in their 20s and falling to a near-floor 2.5% by the 50s. The gender gap is 13.5 points in the 20s and 21.4 points in the 50s.

The downward female slope is harder to read and we offer it without a confident mechanism. It is consistent either with an age effect — older women quitting around family formation while younger women carry a more permissive social norm — or a cohort effect, in which today's 20-something women keep using as they age and the line flattens in future editions. WHI 2025 flagged the same ambiguity. One year on, the shape persists; the explanation does not yet.

Smokeless tobacco is a small category, and a different problem#

Smokeless tobacco — gutka, khaini, pan masala, the chewed and held products — is 1.7% of the workforce overall. It is easy to round off as a rounding error. The demographic cut argues against that.

Smokeless tobacco use Sample Rate
Men 4,926 2.3%
Women 2,271 0.5%
Age 20–29 2,911 1.0%
Age 40–49 950 2.9%
Real Estate / Construction 197 5.6%
Hospitality / Travel 125 4.0%
E-commerce / Retail 272 3.7%
Logistics / Supply Chain 145 3.4%
IT / Software / SaaS 2,694 1.3%

Smokeless tobacco reaches a different worker

The male, older, blue-collar-adjacent skew repeats across gender, age, and industry

By gender

Men
n = 4,926
2.3%
Women
n = 2,271
0.5%
Values in %

By age

20–29
n = 2,911
1.0%
40–49
n = 950
2.9%
Values in %

By industry

Real Estate / Construction
n = 197
5.6%
Hospitality / Travel
n = 125
4.0%
E-commerce / Retail
n = 272
3.7%
Logistics / Supply Chain
n = 145
3.4%
IT / Software / SaaS
n = 2,694
1.3%
Values in %

1.7% of the workforce overall, on 126 users in total. Per-cell counts are small — read the skew, not the precise rates. Two age bands shown (the page reports the 20s and the 40s).

Where the cigarette is roughly flat across age, smokeless use rises with it, peaking at 2.9% in the 40s. Where overall nicotine use is highest in white-collar sales roles, smokeless use is highest in the industries closest to physical and field work — construction, hospitality, logistics, the same sectors the Industries page flags for hardest working conditions — and runs three to four times higher there than in IT. The lowest-income band (under ₹3 lakh) reports 2.8% smokeless use against 0.5% in the ₹25–40 lakh band. This is a different product reaching a different worker than the one the cigarette reaches.

Engineers use the least; sales and customer-facing roles use the most#

Among job functions with at least 75 respondents:

Job function Sample Current nicotine use
Customer Success / Account Mgmt 76 32.9%
Sales / Business Development 725 27.0%
Customer Support / Service 477 23.9%
Operations / Supply Chain 744 22.7%
Design / UX 142 22.5%
General Management / Strategy 124 21.8%
Product Management 195 19.0%
Finance / Accounting 482 15.6%
Marketing / Content 222 14.4%
Human Resources / People Ops 315 13.7%
Doctor / Physician 69 13.0%
Engineering / Software Development 2,136 12.5%

Engineers use the least; customer-facing roles use the most

Current nicotine use by job function, ranked — the line runs between desk work and people work

Customer Success / Account Mgmt
n = 76 · customer-facing
32.9%
Sales / Business Development
n = 725 · customer-facing
27.0%
Customer Support / Service
n = 477 · customer-facing
23.9%
Operations / Supply Chain
n = 744
22.7%
Design / UX
n = 142
22.5%
General Management / Strategy
n = 124
21.8%
Product Management
n = 195
19.0%
Finance / Accounting
n = 482
15.6%
Marketing / Content
n = 222
14.4%
Human Resources / People Ops
n = 315
13.7%
Doctor / Physician
n = 69
13.0%
Engineering / Software Development
n = 2,136 · cleanest function
12.5%

Survey average — 17.2%

Values in %

Job functions with at least 75 respondents. Customer Success / Account Mgmt sits on a small sample (n = 76) — directional. Engineering, the largest function at n = 2,136, is the cleanest major function.

The split is along the line between desk work and people work. The roles that spend the day in front of customers — account management, sales, support — cluster at the top, at roughly double the engineering rate. Engineering and software development, the single largest function in the sample at 2,136 respondents, sits at the bottom at 12.5%. The popular image of the chain-smoking developer does not survive contact with the data; the developer is the cleanest major function on the page.

The likely mechanism is the structure of the work. Customer-facing roles run on external deadlines, rejection, and the social ritual of the break — conditions the literature ties to nicotine use as an acute coping device. Engineering work is internally paced and, in this sample, the most remote-enabled function, which removes the office smoke break as a default.

Working from home is the cleanest correlate of not using#

Work mode Sample Current nicotine use
Work From Office 4,388 18.6%
Hybrid 1,544 17.1%
Work From Home 1,290 12.2%

Working from home is the cleanest correlate of not using

Current nicotine use by work mode — the home worker sits six points below the office worker

Work From Office
n = 4,388
18.6%
Hybrid
n = 1,544
17.1%
Work From Home
n = 1,290
12.2%

Survey average — 17.2%

Values in %

The office supplies the habit's scaffolding — the shared smoke break, the colleague who steps out. Part of this is the same remote-enabled functions that read as 'clean' on the job-function cut.

Full-time office workers use nicotine at 18.6%; full-time home workers at 12.2%. Hybrid sits between. The gap is six points. The reading is not that the office causes nicotine use, but that the office supplies its scaffolding — the shared smoke break, the colleague who steps out, the ritual pause that the home worker has to manufacture alone. Remove the building and a chunk of the habit's social architecture goes with it.

This connects to the job-function cut. The functions with the lowest nicotine rates — engineering, marketing, HR — are also among the most remote-enabled. Part of what reads as a "clean function" effect is a "works from home" effect underneath it.

Nicotine travels with alcohol — drinkers use it 7.8× more#

Sample Current nicotine use
Drinkers 2,687 37.9%
Non-drinkers 4,534 4.9%

Nicotine travels with alcohol — drinkers use it 7.8× more

Current nicotine use among drinkers vs non-drinkers

Drinkers
n = 2,687 · 7.8× non-drinkers
37.9%
Non-drinkers
n = 4,534
4.9%
Values in %

37.9% against 4.9% — the sharpest cross-signal on the page. WHI 2025 found a 6× clustering; on the larger 2026 sample the relationship is stronger, not weaker.

This is the sharpest cross-signal on the page. A respondent who drinks is 7.8× more likely to use nicotine than one who doesn't — 37.9% against 4.9%. WHI 2025 found a 6× clustering; on the larger 2026 sample the relationship is stronger, not weaker. Nicotine is not a standalone behaviour in this workforce. It is one node in a cluster of co-occurring habits — the same cluster the Alcohol page reads from the other side — and the drinker is its most reliable host.

High-stress workers and daily users are the same people#

Group High stress (7+/10) last week n
Non-users 39.1% 5,754
Occasional smokers 41.8% 464
Daily smokers 53.5% 589

The daily smoker and the high-stress worker are the same person

Share reporting high stress (7+/10) last week, by nicotine use intensity

More than half of daily smokers reported high stress, against 39.1% of non-users — a 14-point gap. Cross-sectional data can't settle the direction of causation; the 2025 report called this the stress-nicotine spiral.

The stress reading climbs with use intensity. More than half of daily smokers reported high stress in the past week, against 39.1% of non-users — a 14-point gap. The 2025 report called this the stress-nicotine spiral, and the 2026 data holds the shape. The direction of causation is not settled in cross-sectional survey data: stress may pull people toward nicotine, or nicotine's withdrawal cycle may raise baseline stress, or both run together. What the data does establish is that the daily smoker and the highly-stressed worker are, to a large degree, the same person — which means a stress-management programme and a cessation programme are not separate initiatives.

What the numbers do and don't say#

The headline is the rare good one in this report: nicotine use in the urban salaried workforce fell, and the fall held on a sample twice the size. But the page underneath the headline is a story of concentration, not dispersion. Survey self-report catches the whole spread; the Substance Mentions page catches only the severe tip, where tobacco surfaces in a hospitalisation. The habit is not thinning evenly across the workforce. It is staying lodged in a specific place — men, across every decade; customer-facing and field roles; the office over the home; and, above all, the drinker. The smokeless category sits to one side of all of it, smaller, distinct, and reaching a worker the cigarette analysis would otherwise erase.

References

  1. 1Benowitz, N.L. Nicotine addiction. New England Journal of Medicine 362, 2295–2303 (2010). https://doi.org/10.1056/NEJMra0809890
  2. 2Siddiqi, K., Husain, S., Vidyasagaran, A., Readshaw, A., Mishu, M.P. & Sheikh, A. Global burden of disease due to smokeless tobacco consumption in adults: an updated analysis of data from 127 countries. BMC Medicine 18, 222 (2020). https://doi.org/10.1186/s12916-020-01677-9
  3. 3Gupta, P.C. & Ray, C.S. Smokeless tobacco and health in India and South Asia. Respirology 8, 419–431 (2003). https://doi.org/10.1046/j.1440-1843.2003.00507.x
  4. 4Falk, D.E., Yi, H.Y. & Hiller-Sturmhöfel, S. An epidemiologic analysis of co-occurring alcohol and tobacco use and disorders. Alcohol Research & Health 29, 162–171 (2006).
  5. 5Tata Institute of Social Sciences & Ministry of Health and Family Welfare. Global Adult Tobacco Survey, India 2016–17. (2017).