India's official farm-household income survey finds that wages, not crop production, are the largest source of a farm household's income — and it reaches that finding on a population it defines to exclude the rural households most dependent on wages in the first place.
Agriculture & Fertilisers · Rural Incomes · NSS 77th Round
The Wage Beats the Crop — In the Survey That Leaves the Wage-Earners Out
Revised
· v1.0.0 · what changed
India's official measure of what a farm household actually earns comes from the NSS 77th Round's "Situation Assessment of Agricultural Households and Land and Livestock Holdings of Households in Rural India" — reference year July 2018 to June 2019, published as NSS Report No. 587 in September 2021. It remains the government's current official figure: a February 2024 Lok Sabha reply from the Ministry of Agriculture & Farmers Welfare cites this same 77th round as the latest available data, alongside the 70th round (2012-13) as the only earlier comparison point. No newer round has reported; the next, fielded from July 2026 to June 2027, has not yet published results. Every figure below is dated to 2018-19, not written as a present-tense claim about what farmers earn today.
What an "agricultural household" is
The survey does not count every farming family. A household qualifies as "agricultural" only if it received more than ₹4,000 of value from agricultural produce during the year and had at least one member self-employed in agriculture. That is a survey construct with a specific threshold, not a synonym for "farmer" — and it draws a boundary that matters for what the income numbers below can and cannot say.
Where the household's income actually comes from
NSS Report 587's Table 6 gives average monthly income per agricultural household on two different expense bases, and they are not interchangeable — the fuller basis also charges the imputed cost of the household's own unpaid family labour against crop and livestock income, which the paid-out basis does not:
| Income component | Paid-out-expenses basis, ₹/month | Imputed-cost basis, ₹/month |
|---|---|---|
| Wages | 4,063 | 4,063 |
| Net receipt from crop production | 3,798 | 3,058 |
| Farming of animals | 1,582 | 441 |
| Non-farm business | 641 | 641 |
| Leasing out land | 134 | 134 |
| Total | 10,218 | 8,337 |
Wages are unchanged across both bases — imputing a cost hits crop and livestock income, not wage income — so the wage-vs-crop comparison is clean on either one: wages exceed crop production by ₹265/month on the paid-out basis and by ₹1,005/month on the fuller basis. On the imputed-cost basis, wages are 49% of total household income and crop production 37%. In the survey the government itself uses to measure farm household income, the single largest income source for the average agricultural household is not the crop it grows.
Who the survey leaves out
The release states its exclusion rule in its own words: "households which were entirely agricultural labour households and households receiving income entirely from coastal fishing, activity of rural artisans and agricultural services were not considered as agricultural households and they were kept outside the scope of the survey." That is not only landless labourers — it also removes coastal fishing households, rural artisan households, and agricultural-services households from the population the income table above describes.
The takeaway
This blog has already reported the other side of this picture: A 17% Rural Pay Rise That Nobody Received covered the index that sets what agricultural labourers are paid. This piece covers the official survey that measures farm household income and defines those same labour-dependent households out of its frame — and even so, finds that the wage still beats the crop. Any farm-income policy built on this survey's numbers is being built on a population that already excludes the households a wage-focused policy would most need to reach. (The same survey also finds 50.2% of agricultural households in debt, averaging ₹74,121 outstanding — a separate finding this piece does not develop.)
Sources: next SAS round (July 2026–June 2027): Informist MoneyWire and GKToday (search-result summaries). NSS Report No. 587, "Situation Assessment of Agricultural Households and Land and Livestock Holdings of Households in Rural India, 2019," National Statistical Office, Ministry of Statistics and Programme Implementation, posted via PIB (PRID 1753856) 10 September 2021; reference year July 2018–June 2019, fieldwork Jan–Dec 2019 in two visits, 58,035 households surveyed of which 45,714 were classified as agricultural households. Comparison-year figure via PIB PRID 2003180, Ministry of Agriculture & Farmers Welfare, Lok Sabha reply, 6 February 2024.
Related on this blog
See also: A 17% Rural Pay Rise That Nobody Received · Annadata to Urjadata: The Farmer-Income Case · Rural India's Farm-Employment Share Dropped 5.6 Points in Six Months.
- v1.0.0 — 17 September 2026 — first published.
What would fix this
- MoSPI should announce a fieldwork and publication date for the next Situation Assessment Survey of agricultural households, since the 2018-19 round remains, per the Agriculture Ministry's 2024 Lok Sabha reply, the latest official measure of farm household income.
- The NSO should add a module covering the households the survey excludes — entirely agricultural-labour, coastal fishing, rural artisan and agricultural-services households — and publish their income by source, so rural income policy is not built only on a population that already skews toward cultivation.
- The NSO should publish the 70th-round (2012-13) income table on both the paid-out and imputed-cost expense bases alongside the 77th round's, so a growth rate between the two rounds can be computed without guessing which basis the ₹6,426 figure uses.
- The NSO should split wage income in its income-by-source table into farm and non-farm wages, so the ₹4,063 monthly wage figure can show how much agricultural households actually earn from farm labour versus other employment.
These are proposals from this blog, not recommendations any agency has adopted.
About this article: Researched, written and edited by Umashankar Triplicane Dwarakanathan, with AI research assistance; every figure is meant to trace to the primary source cited. See the Editorial Policy for how sourcing, AI use and corrections work.
