India's largest labour market phenomenon is a journey, and it is measured once a decade.
Data year: Census 2011; PLFS migration module 2020-21 · Source: Census / PLFS migration module · Updated: Census decennial — the 2021 round is delayedIn preparation
India's largest labour market phenomenon is a journey, and it is measured once a decade.
Internal migration moves tens of millions of workers between states, mostly seasonally, mostly into construction, brick kilns, textiles and agriculture. It is the mechanism by which a drought in one state becomes a labour surplus in another.
The data is thin: a decennial census, a survey module, and administrative traces like railway bookings and remittance flows. Assembling those into one view is imperfect, and the imperfection needs to be shown rather than smoothed over.
These are the indicators this topic is built from. Each names its source and the year that source refers to, because an official figure is not the same thing as a current one.
| Indicator | Unit | Source and year |
|---|---|---|
| Inter-state migrants | count, by origin and destination | Census / PLFS migration moduleData year: Census 2011; PLFS migration module 2020-21 |
| Migrants by sector of work | % of migrants | PLFSData year: 2024-25 annual; quarterly bulletins to 2026 |
| Informal employment | % of workers | PLFSData year: 2024-25 annual; quarterly bulletins to 2026 |
| Unemployment rate | % | PLFSData year: 2024-25 annual; quarterly bulletins to 2026 |
An origin-destination flow map, with the age of each source stated on every figure.
The brief above is written and the sources are identified. What remains is the data build. Until it publishes, no figure for this topic appears anywhere on DataSpeaks — we would rather show nothing than show a placeholder.
Where a source has not reported for a recent year, the gap is shown as a gap. We do not interpolate to make a series look continuous or a map look complete. Where two agencies publish different figures for the same thing, both appear and we say which is which.
Charts from this topic may be reused with credit to DataSpeaks and to the original source named above. The underlying data remains under its own licence — most Government of India datasets permit reuse with attribution, some survey microdata does not.
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