42.6% of India's workers ride a two-wheeler to work. 5.0% of urban workers use metro, suburban rail, monorail or tram.
Those two numbers, released together on 5 October 2026, describe a country that motorised privately before it built public transport. Everything else in India's first National Household Travel Survey is commentary on them.
What the survey is
The National Statistics Office, under the Ministry of Statistics and Programme Implementation, has released key indicators from the first-ever all-India National Household Travel Survey (NHTS), conducted from July 2025 to June 2026 and published as a Factsheet.
The sample is large: 14,274 villages and 10,377 urban blocks, covering 4,92,023 households and 20,34,371 persons. Its stated purpose is to support regional transport planning, infrastructure development and evidence-based policy — and, explicitly, to meet "the specific data requirements of the Ministry of Railways."
That last clause explains a good deal about the survey's design, and we will come back to it.
The definitions, which are the examinable part
A first-ever survey has to invent its concepts, and NHTS introduces four that will be quoted for years:
- Travel means a trip covering more than one kilometre. Trips of less than a kilometre were not recorded at all.
- Primary mode of travel is the mode used to cover the longest distance in a trip. A single-mode trip takes that mode by definition.
- A travel-day runs from 3:00 AM of one calendar day to 2:59 AM of the next — not midnight to midnight, so that a late-night return is attributed to the day the journey began.
- A within travel-day trip ends during a travel-day and keeps the member away for no more than 24 hours; it may span at most two consecutive travel-days. An overnight trip keeps a member away for more than 24 hours, including any stay — but only if it is at least 50 km long.
Hold on to the one-kilometre rule in particular. It governs how every headline below should be read.
Workers
| Indicator | All India | Rural | Urban |
|---|---|---|---|
| Workers (15+) making work trips over 1 km | 57.6% | 54.5% | 64.1% |
| Two-wheeler as primary mode | 42.6% | 37.1% | 52.3% |
| Metro, suburban rail, monorail, tram (urban) | — | — | 5.0% |
| Average travel time to a fixed workplace | 25 min | 23 min | 27 min |
| Reaching a fixed workplace within 30 minutes | 83.4% | 86.1% | 79.3% |
| Average monthly commute expenditure | ₹785 | ₹612 | ₹1,044 |
94.9% of workers leave before 10:00 AM — 56.5% between 8 and 10, 33.7% between 6 and 8, and 4.7% before 6:00 AM. A further 13.7% of workers take between 30 and 60 minutes to reach a fixed workplace.
Rail-based urban transit, at 5.0% nationally, concentrates sharply: Maharashtra 20.7%, West Bengal 16.5%, Delhi 14.4%.
The number the survey does not put beside 42.6%
Two-wheelers carry more of India's workforce than any other mode. They also kill more of its road users than any other.
The Ministry of Road Transport and Highways records two-wheeler users as 44.8% of road accident deaths in 2023 and 46.2% in 2024, against roughly 30% in 2014. Pedestrians account for about 20%. The mode that moves the largest share of India's workers is the mode that produces the largest share of its road fatalities, and the share has been climbing for a decade.
Nothing in NHTS is wrong about this; it simply measures movement rather than consequence. But a transport statistic is only useful next to the safety statistic, and the policy reading of "two-wheelers lead workforce mobility" is not a success. It is a description of how 42.6% of the workforce is exposed. Road design that assumes cars — which is much of what access-controlled high-speed highway construction produces — is designing for the minority of this distribution.
What the one-kilometre rule hides
Walking appears as 37.0% of student commutes and 24.9% of other within-day trips. Those figures are floors, not estimates, because every trip under a kilometre was excluded by definition.
Which means the survey systematically under-observes the most exposed travellers in the country. Pedestrians are about a fifth of India's road deaths, and the shortest walking trips — to a shop, a school gate, a bus stop, across a highway — are exactly the ones NHTS does not see.
This is a limitation to state rather than a flaw to conceal. A one-kilometre floor is a reasonable choice: it keeps the respondent's recall task manageable and excludes movement within a village or a neighbourhood that no transport plan can act on. But anyone citing NHTS mode shares as shares of all movement is citing them wrongly, and an examiner who knows the definition can set a question on precisely that.
Students
66.4% of students aged 6 and above make trips of at least a kilometre to their institution (rural 65.6%, urban 68.1%), and participation peaks in the 15-29 age group at 79.1% rural and 73.3% urban.
Their modes are entirely different from workers':
| Mode | Share of student commutes |
|---|---|
| Walking | 37.0% |
| Buses | 29.5% |
| Bicycles | 15.8% |
| Auto-rickshaws | 10.5% (urban 14.4%) |
| Two-wheelers | 6.7% (urban 11.5%) |
Students walk, cycle and take the bus; workers ride two-wheelers. The difference is income and licence, and it means that the same street carries two populations with completely different protection needs. Average student travel time is 23 minutes, with 87.6% arriving within 30 minutes, and 82.0% departing between 7:00 and 10:00 AM — the peak hour being 8 to 9 at 35.7%. The North Eastern States including Assam show distinctly shorter travel times of 15 to 19 minutes. Students spend ₹443 a month on the journey (urban ₹617, rural ₹361).
The gender gap, read carefully
61.9% of male workers make a daily work trip of more than a kilometre. 41.9% of female workers do. Male workers spend ₹835 a month on the commute; female workers ₹533.
The twenty-point gap is not primarily a finding about women's willingness to travel. It is substantially a finding about where women work. Home-based production, work on the household's own land or premises, and unpaid work within the household generate no trip of more than a kilometre — and so appear in this survey as no work trip at all. The same denominator problem distorts the female labour force participation rate in the Periodic Labour Force Survey, where the measured rate moves sharply with how home-based and unpaid work is classified.
The gap is also partly real. Personal safety constrains route and timing; time poverty from unpaid care work compresses the window available for travel; and within a household the two-wheeler is more often the man's to use. The ₹533-against-₹835 spending gap supports that reading — women who do commute travel shorter and cheaper.
Both explanations are true, and NHTS as presented cannot separate them. That is worth saying plainly rather than choosing the more convenient half.
Why the commute is so short
83.4% of workers reach a fixed workplace within half an hour, and the average is 25 minutes. By the standards of comparably sized economies that is a short commute, and it is tempting to read it as efficiency.
It is not. Look at the rural-urban split: rural workers average 23 minutes and urban workers 27. If short commutes were a product of transport quality, the relationship would run the other way, because rural India has the worse transport.
The real explanations are two. First, proximity by necessity — most Indian workers live close to work because the alternative is unaffordable, and the housing market near employment sorts people by what they can pay in rent rather than in travel time. Second, dispersion of employment — India's jobs are not concentrated in a handful of central business districts that everyone must reach, but spread across small establishments, markets and own-account work. A short average commute in a country with almost no mass transit is evidence of proximity, not of mobility.
The transit map is a map of three cities
5.0% nationally, against Maharashtra's 20.7%, West Bengal's 16.5% and Delhi's 14.4%, means that nearly all of India's rail-based urban transit ridership sits in Mumbai, Kolkata and Delhi.
The instructive part is which three. Metro rail has been built or is under construction in some thirty Indian cities, but the three leaders are the three with legacy suburban rail networks — Mumbai's suburban system, Kolkata's suburban and circular rail, Delhi's combination of metro and ring rail. Ridership follows network age and coverage, not recency of construction. A new metro line on a single corridor serves a corridor; a network that has grown for a century serves a city. The policy implication is uncomfortable for cities expecting a new line to shift mode share quickly.
Overnight travel, and a second survey agreeing
| Mode for overnight household trips | Share |
|---|---|
| Buses | 55.8% |
| Inter-city railways | 17.7% |
| Cars | 15.1% |
| Two-wheelers | 8.8% |
Rail's share of overnight trips is 14.0% among rural households and 22.7% among urban. On purpose: 70.2% of overnight household trips are for socialising, communication and religious activity (rural 69.7%, urban 70.9%); culture, leisure, sport and tourism account for just 7.4% (urban 9.3%); and self-care and maintenance for 6.5% (rural 7.6%).
That is independent corroboration of what the Domestic Tourism Expenditure Survey found through an entirely different instrument: Indian long-distance travel is overwhelmingly social and religious, not recreational. Two surveys, two methodologies, one conclusion — which is the strongest form of statistical evidence available.
And it answers the question raised at the start. Why would the Ministry of Railways commission household travel data? Because a railway planning capacity needs to know the whole travel market, not just its own passengers. Buses carry 55.8% of overnight trips and railways 17.7%. That difference is not a failure statistic; it is an addressable market — the demand that exists, moves today by road, and could in principle be captured by rail. You cannot size that from ticket sales. You can only size it from households.
🔑 Revision block
- Survey: first-ever all-India National Household Travel Survey (NHTS), conducted July 2025 – June 2026 by the NSO under MoSPI; key indicators released 5 October 2026 as a Factsheet.
- Sample: 14,274 villages, 10,377 urban blocks, 4,92,023 households, 20,34,371 persons.
- Definitions: travel = a trip of more than 1 km; trips under 1 km not recorded. Primary mode = mode covering the longest distance in a trip. Travel-day = 3:00 AM to 2:59 AM the next day. Within travel-day trip = away for up to 24 hours. Overnight trip = away more than 24 hours and at least 50 km.
- Workers: 57.6% make work trips over 1 km (rural 54.5%, urban 64.1%). Two-wheelers 42.6% — the largest single mode (rural 37.1%, urban 52.3%). Rail-based urban transit 5.0% — Maharashtra 20.7%, West Bengal 16.5%, Delhi 14.4%.
- Commute times: workers average 25 min (rural 23, urban 27); 83.4% within 30 minutes; 13.7% take 30-60 minutes. 94.9% leave before 10 AM — 56.5% between 8 and 10, 33.7% between 6 and 8, 4.7% before 6.
- Students: 66.4% travel over 1 km; peak participation at 15-29 years (79.1% rural, 73.3% urban). Modes — walking 37.0%, buses 29.5%, bicycles 15.8%, autos 10.5%, two-wheelers 6.7%. Average 23 min; 87.6% within 30 minutes; 82.0% depart 7-10 AM, peak 8-9 AM at 35.7%. North East including Assam 15-19 min.
- Expenditure per month: workers ₹785 (urban ₹1,044, rural ₹612); students ₹443 (urban ₹617, rural ₹361). Male workers ₹835, female ₹533.
- Gender: 61.9% of male against 41.9% of female workers make daily work trips over 1 km — partly a measurement effect, since home-based and unpaid work generates no qualifying trip, and partly real (safety, time poverty, vehicle access).
- Overnight trips: buses 55.8%, inter-city rail 17.7% (together 73.5%), cars 15.1%, two-wheelers 8.8%. Rail — rural 14.0%, urban 22.7%. Purpose — social, communication and religious 70.2%; culture, leisure, sport and tourism 7.4%; self-care 6.5%.
- Other within-day trips: two-wheelers 32.2%, walking 24.9%, autos 18.9%, bicycles 12.6%, buses 8.5%.
- Cross-reference to hold: MoRTH records two-wheeler users as 44.8% of road deaths in 2023 and 46.2% in 2024, up from about 30% in 2014; pedestrians about 20%. The largest mode is also the most fatal.
- Limitation: the 1 km floor excludes the shortest walking trips, so walking shares are floors, and the survey under-observes pedestrians — the second-largest fatality group.
- Why the commute is short: rural workers travel less time than urban, so it is proximity by necessity and dispersed employment, not transport efficiency.
- Commissioning interest: the survey explicitly meets the data needs of the Ministry of Railways — household data sizes the whole travel market, including the bus share rail might capture.
🎯 Practice MCQs
Q1. Under the National Household Travel Survey, a "travel" is defined as a trip covering: (a) Any distance, provided a vehicle is used (b) More than 500 metres (c) More than one kilometre (d) More than five kilometres
→ (c) Trips of less than a kilometre were not recorded at all, which is why the survey's walking shares should be read as floors rather than as estimates of total walking.
Q2. The single largest primary mode of transport for Indian workers commuting to a fixed workplace is: (a) Two-wheelers, at 42.6% (b) Buses, at 29.5% (c) Walking, at 37.0% (d) Suburban rail and metro, at 5.0%
→ (a) 42.6% overall — 37.1% rural and 52.3% urban. Walking at 37.0% and buses at 29.5% are the leading student modes, not worker modes.
Q3. A "travel-day" in NHTS is defined as the period from: (a) Midnight to midnight (b) 3:00 AM of one calendar day to 2:59 AM of the next (c) 6:00 AM to 5:59 AM of the next day (d) Sunrise to sunrise
→ (b) The 3:00 AM boundary attributes a late-night return to the day the journey began, which is the convention transport surveys generally adopt.
Q4. For a trip to be counted as an "overnight trip" under NHTS, it must keep the traveller away for more than 24 hours and be: (a) Of at least 100 km (b) Undertaken by a public mode (c) Outside the State of residence (d) Of at least 50 km
→ (d) Both conditions apply — more than 24 hours away and at least 50 km. A long stay within 50 km does not qualify.
Q5. Metro, suburban rail, monorail and tram together account for 5.0% of urban worker commutes nationally. The three States or UTs with the highest shares are: (a) Maharashtra, West Bengal and Delhi (b) Karnataka, Telangana and Tamil Nadu (c) Gujarat, Rajasthan and Madhya Pradesh (d) Uttar Pradesh, Bihar and Jharkhand
→ (a) Maharashtra 20.7%, West Bengal 16.5%, Delhi 14.4% — the three with legacy suburban rail networks, not the three with the newest metro lines.
Q6. The 20-percentage-point gap between male and female workers making daily work trips over 1 km is best explained as: (a) Entirely a reflection of women's preference for shorter commutes (b) A statistical error in the survey design (c) Partly a measurement effect, because home-based and unpaid work generates no qualifying trip, and partly a real constraint (d) Evidence that women are concentrated in metro-served cities
→ (c) Both operate, and the survey as presented cannot separate them. The same denominator problem distorts the female labour force participation rate in the PLFS.
Q7. The fact that rural workers average 23 minutes to work while urban workers average 27 minutes suggests that India's short commutes reflect: (a) Superior rural road connectivity (b) Proximity by necessity and dispersed employment rather than transport efficiency (c) Higher two-wheeler ownership in rural areas (d) Under-reporting of travel time by rural respondents
→ (b) If transport quality drove the result, the better-served urban areas would show the shorter commute. They show the longer one.
Q8. For overnight household trips, the leading mode and its share are: (a) Inter-city railways, 55.8% (b) Cars, 17.7% (c) Two-wheelers, 15.1% (d) Buses, 55.8%
→ (d) Buses carry 55.8% of overnight trips and inter-city railways 17.7% — together 73.5%, with cars at 15.1% and two-wheelers at 8.8%.
Q9. NHTS finds that the overwhelming majority of overnight household trips are undertaken for: (a) Socialising, communication and religious activity, at 70.2% (b) Culture, leisure, sport and tourism, at 7.4% (c) Employment-related travel, at 42.6% (d) Self-care and maintenance, at 6.5%
→ (a) 70.2% — which independently corroborates the Domestic Tourism Expenditure Survey's finding that Indian long-distance travel is social and religious rather than recreational.
Q10. The Ministry of Railways' interest in a household travel survey arises principally because such a survey: (a) Measures punctuality of train services (b) Provides passenger revenue data unavailable from ticketing (c) Sizes the whole travel market, including demand that currently moves by road (d) Establishes fare elasticity for reserved classes
→ (c) Ticket sales reveal only existing passengers. Buses at 55.8% of overnight trips against rail at 17.7% describes an addressable market, and only household data can measure it.
📋 How this gets asked (PYQ pattern)
Official surveys are examined in four reliable ways, and the first is almost always a definition.
The first is the definitional threshold. For NHTS it is the 1 km floor, the 50 km condition on overnight trips, and the 3:00 AM travel-day. Thresholds are examiners' favourite material because they are precise, easy to misremember, and change the meaning of every headline that follows.
The second is survey-to-agency-to-period mapping. NHTS, PLFS, the Domestic Tourism Expenditure Survey, ASUSE, the Annual Survey of Industries and the Capex survey all belong to MoSPI/NSO but differ in reference period, sampling frame and purpose. A question naming a finding and asking which survey produced it is standard.
The third is the leading-share question. Two-wheelers at 42.6% for workers; walking at 37.0% for students; buses at 55.8% for overnight trips; mass transit at 5.0% of urban worker commutes. Four leaders in four categories, and the distractors swap them across categories.
The fourth, and the one that distinguishes a good written answer, is the cross-reference. A mode-share statistic means little until it is set beside the fatality statistic, the measurement limitation, or a second survey's independent finding. Candidates who can put NHTS next to MoRTH's road-death shares, or next to the tourism survey, are doing what the paper's analytical questions actually reward.
Preparing for CDS/OTA? With every survey, read the definitions before the findings — the threshold decides what the headline can possibly mean. Then look for a second source that measures the consequence of what the survey measured. Build the base with our CDS/OTA study material, follow the daily CDS current affairs, and prepare with our faculty in the upcoming Cavalier courses in Delhi.
✍️ Written by The Cavalier — Faculty desk at The Cavalier. Reviewed by the Cavalier Faculty Desk.