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India’s First District Labour Data Reveals Wide Regional Gaps
India has published new information showing how jobs and work differ from one district to another.
Earlier national averages could hide these local differences.
Surat had the highest workforce participation among the 100 most populous districts.
Darbhanga had the lowest participation in that group.
Women’s participation was very high in some districts, such as Hamirpur, but much lower in places such as East Delhi.
Most districts had unemployment rates between 0.5% and 5.5%.
More than three-quarters of districts had fewer than 30% of young people outside work, school, or training.
The figures may help governments decide where to focus job and skills programmes.
However, the numbers do not show whether jobs pay well or why districts perform differently.
The National Statistics Office released India’s first district-level labour market estimates under the redesigned PLFS.
Among the 100 most populous districts, Surat had the highest overall LFPR at 68.6% and WPR at 67.8%.
Female participation varied sharply, from an 80.9% LFPR in Himachal Pradesh’s Hamirpur to 18.9% in East Delhi.
About 77.8% of districts had unemployment rates between 0.5% and 5.5%, while 23.7% had youth NEET rates above 30%.
The data can guide local policy, but it does not explain differences between districts or measure job quality.
- Who
- The National Statistics Office, under the Ministry of Statistics and Programme Implementation, released the estimates covering India’s districts.
- What
- It published the first district-level estimates for labour force participation, worker population, unemployment and youth not in employment, education or training.
- Where
- Across selected districts in India, including comparisons among the 100 most populous districts and listed capital districts.
- When
- The estimates follow the Periodic Labour Force Survey redesign introduced in January 2025; the release was announced on September 18, 2026.
- Why
- The district-level data is intended to help policymakers, state governments and researchers identify local differences and target employment, skills and industrial policies.
Policy Benefits
Data Limitations
Use of district-level comparisons
Policy Benefits
District-level indicators can help governments and researchers locate areas with low participation, high unemployment or high NEET rates and target programmes accordingly.
Data Limitations
The estimates identify differences but do not explain why districts differ or establish whether local jobs are secure, well-paid or high quality.
Interpreting higher participation
Policy Benefits
A high LFPR or WPR may indicate that more people are engaged in economic activity in a district.
Data Limitations
PLFS employment includes unpaid work in household enterprises, so higher participation must be considered alongside earnings, employment type and other evidence.
Future survey coverage
Policy Benefits
The 2025 redesign is intended to produce more frequent rural and urban labour estimates at national and quarterly levels.
Data Limitations
The redesign objectives should not be interpreted as a promise that monthly estimates will be available for individual districts.
Key facts
- Survey
- Periodic Labour Force Survey, using the usual-status approach based on activity during the preceding 365 days.
- Population coverage
- Employment indicators cover people aged 15 and above; NEET indicators cover people aged 15–29.
- Top populous district
- Surat recorded the highest LFPR at 68.6% and WPR at 67.8% among the 100 most populous districts.
- Female participation high
- Hamirpur recorded a female LFPR of 80.9% and WPR of 80.0%.
- Female participation low
- East Delhi recorded a female LFPR of 18.9% and WPR of 15.7%.
- Unemployment distribution
- 77.8% of districts had unemployment rates between 0.5% and 5.5%; 14.9% were above 5.5%.
- Lowest populous-district NEET rate
- Ernakulam recorded the lowest NEET rate among the 100 most populous districts, at 9.6%.
Sources
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