Key Details
The National Statistical Office’s Labour Market Snapshot of Selected Districts provides the first district-level estimates under the redesigned Periodic Labour Force Survey (PLFS).
Indicator | District-Level Finding |
|---|---|
Labour Force Participation Rate (LFPR) | 52.7% of districts recorded rates between 60% and 80% |
Worker Population Ratio (WPR) | 54.3% of districts recorded rates between 40% and 60% |
Unemployment Rate | 77.8% of districts recorded rates between 0.5% and 5.5% |
Youth not in employment, education or training (NEET) | 76.2% of districts recorded rates below 30%; 23.7% were above 30% |
Female labour-force participation | Around 57.8% of districts recorded female LFPR of at least 40% |
Most populous districts | Surat recorded the highest LFPR and WPR; Darbhanga recorded the lowest |
State capitals | Shimla recorded the highest LFPR and WPR, while Srinagar had the lowest youth NEET rate |
The estimates use the usual-status approach, which classifies a person’s principal and subsidiary economic activity over the preceding 365 days.
District Data Reveal Different Labour-Market Problems
Districts display markedly different combinations of labour-force participation, employment, unemployment and youth disengagement.
Among India’s 100 most populous districts, Surat recorded an LFPR of 68.6% and a WPR of 67.8%, placing it at the top on both measures. Araria combined similarly high participation and employment with an unemployment rate of only 0.9%.
The lowest unemployment rates were reported in South Twenty-Four Parganas and Araria, both at 0.9%, followed by Ahmedabad at 1.1%. Yet a low unemployment rate alone does not establish that a district has a strong labour market: it can also reflect low labour-force participation if many people are neither working nor actively seeking work.
District policy therefore needs to read the indicators together rather than treating unemployment as a sufficient measure of local employment conditions.
Women’s Participation Varies Sharply Across States
The release identifies the district with the highest female participation among each state’s ten most populous districts. Even these best-performing districts show wide differences.
Hamirpur: female LFPR of 80.9% and WPR of 80%
Mayurbhanj: 71.8% and 71.2%
Surguja: 69% and 68%
Siwan: 24.7% and 24.3%
East Delhi: 18.9% and 15.7%
The variation can help distinguish districts where women principally need access to employment from those where the policy challenge may concern job quality, earnings, occupational concentration or working conditions.
Nearly One in Four Districts Has a Youth NEET Rate Above 30%
The share of people aged 15–29 who are not in employment, education or training provides a wider measure of youth disconnection than unemployment alone. It includes young people outside both the labour market and formal pathways for building skills.
While 76.2% of districts reported youth NEET rates below 30%, 23.7% remained above that level. Among the 100 most populous districts, Ernakulam recorded the lowest rate at 9.6%, followed by Coimbatore at 14.5% and Bengaluru Urban at 15%.
District-level NEET estimates can help identify where education, skilling and employment systems are failing to provide a continuous pathway into work.
A Redesigned Survey Makes District Estimates Possible
Before 2025, the PLFS used larger National Sample Survey regions as its basic geographical strata and was not designed to produce representative district estimates. Under the revised design introduced in January 2025, districts became the basic strata across most of the country.
This is the substantive statistical development behind the release: policymakers can now examine employment conditions at a geography closer to where labour, skilling, industrial and welfare programmes are implemented.
These are sample-based estimates and should be read with their Relative Standard Errors. Because the PLFS was not previously designed to represent districts, the new figures are not directly comparable with older NSS-region estimates.
Policy Relevance
District estimates can improve the targeting of employment and skilling programmes, but they should inform diagnosis rather than become a new set of rankings.
Two distinctions are especially important:
A district with low unemployment and low participation requires a different response from one with high participation but insufficient employment.
A high female participation rate does not reveal whether women have secure, adequately paid and productive work; district planning will still need information on occupation, earnings, employment status and hours worked.
Regular district estimates could connect national labour statistics more closely with district skill plans, local industry strategies and state employment programmes. Their policy value will depend on whether administrative decisions actually use the data and whether statistical uncertainty is communicated clearly.
Follow the Full Press Release Here: Labour Market Snapshot of Selected Districts