India's District-Level Unemployment Rates Revealed: 77.8% of Districts Below 5.5%

77.8% of Districts Recorded Unemployment Between 0.5% and 5.5%

India's labour market is showing considerable variation at the district level, according to the first district-level estimates released under the restructured Periodic Labour Force Survey (PLFS).

The National Statistics Office (NSO) found that 77.8% of districts recorded unemployment rates between 0.5% and 5.5% among people aged 15 years and above.

Of these, 43.1% of districts reported unemployment between 0.5% and 3%, while another 34.7% recorded rates between 3% and 5.5%.

Meanwhile, 14.9% of districts reported unemployment above 5.5%, while 7.2% recorded rates below 0.5%.

First District-Level PLFS Estimates Mark a New Data Milestone

The latest release is significant because it provides district-level labour market indicators from the PLFS for the first time.

The survey was redesigned from January 2025, with districts becoming the basic survey unit under the revised sampling approach. The estimates cover key indicators such as the labour force participation rate (LFPR), worker population ratio (WPR), unemployment rate and the proportion of young people who are not in employment, education or training.

The district-level approach provides a more granular picture than national or state-level unemployment figures. It can reveal differences between districts within the same state that may otherwise be hidden by broader averages.

South 24 Parganas and Araria Record Lowest Unemployment

Among India's 100 most populous districts, South 24 Parganas in West Bengal and Araria in Bihar recorded the lowest unemployment rate at 0.9% each.

Ahmedabad in Gujarat followed with an unemployment rate of 1.1%.

Surat, Banaskantha, Bareilly and Bulandshahr each recorded unemployment rates of 1.2%, while Belagavi, Palghar and Nanded recorded rates of 1.5% in the comparison.

The figures provide a snapshot of unemployment under the PLFS's usual-status approach and should not be interpreted as a measure of the quality or earnings associated with the jobs available in each district.

Surat Leads Labour Force Participation

The district-level data also provides information on how many people are working or seeking work.

Among the 100 most populous districts, Surat in Gujarat recorded the highest LFPR at 68.6%, followed by Araria in Bihar at 68% and Salem in Tamil Nadu at 67.8%.

Surat also recorded the highest WPR at 67.8%. Araria followed at 67.4%, while Banaskantha in Gujarat recorded 66.6%.

At the other end of the comparison, Darbhanga in Bihar recorded the lowest LFPR and WPR among the 100 most populous districts.

What Is Labour Force Participation Rate?

The labour force participation rate measures the share of the working-age population that is either employed or actively seeking work.

The worker population ratio, or WPR, measures the proportion of the population that is actually employed.

These indicators provide additional context to unemployment. A low unemployment rate does not necessarily mean that a district has a highly active labour market if a significant proportion of people are outside the labour force.

Female Labour Force Participation Shows Wide Differences

One of the most important findings from the district-level data is the variation in female participation.

Around 57.8% of districts recorded female LFPR of 40% or above, according to the government release.

Among selected district comparisons, Hamirpur in Himachal Pradesh recorded a female LFPR of 80.9% and a female WPR of 80%.

Other districts with relatively high female participation included Mayurbhanj in Odisha, Budgam in Jammu and Kashmir, Surguja in Chhattisgarh and Tinsukia in Assam.

However, substantial differences remain. East Delhi recorded female LFPR of 18.9% in the relevant comparison, while Siwan in Bihar recorded 24.7%.

The differences indicate that women's participation in the labour market varies considerably according to geography and local economic conditions.

Youth NEET Rate Is Another Major Concern

Unemployment is only one part of the employment picture.

The PLFS district-level estimates also measure the share of young people aged 15-29 who are not in employment, education or training, commonly referred to as the NEET rate.

More than 75% of districts had youth NEET rates below 30%.

About 4.2% of districts recorded NEET rates below 10%, while 26.1% were in the 10%-20% range. Another 45.9% were between 20% and 30%, while 23.7% recorded NEET rates above 30%.

The figures show why unemployment alone cannot capture the full employment situation among young people.

Ernakulam Records Lowest Youth NEET Rate

Among the 100 most populous districts, Ernakulam in Kerala recorded the lowest youth NEET rate at 9.6%.

Coimbatore in Tamil Nadu followed at 14.5%, while Bengaluru Urban in Karnataka recorded 15%.

Ranchi in Jharkhand and Surat in Gujarat also recorded relatively low NEET shares at 16.5% and 17.2%, respectively.

A lower NEET rate indicates that a larger share of young people are either working, studying or participating in training.

Capital Districts Also Show Different Labour Market Outcomes

The data shows considerable variation even among state capital districts.

Shimla recorded the highest LFPR among the capital districts covered in the release at 70%, followed by Thiruvananthapuram at 64.4% and Raipur at 61.5%.

Shimla also recorded a WPR of 65.1%, while Thiruvananthapuram recorded 63.2% and Raipur 59.4%.

For unemployment, Thiruvananthapuram and Kolkata recorded rates of 1.9%, while Bengaluru Urban recorded 2.5% in the capital-district comparison.

Why District-Level Data Matters

National unemployment figures can sometimes hide major regional differences.

Two districts within the same state may have very different industrial structures, levels of urbanisation, agricultural dependence, education systems and employment opportunities.

District-level data can help governments and researchers identify areas where labour force participation is relatively low, youth disengagement is high or unemployment is elevated.

The information could potentially support more targeted skill-development programmes, employment schemes and local industrial strategies.

Low Unemployment Does Not Automatically Mean Better Jobs

The unemployment figures need to be interpreted carefully.

PLFS employment measures include people engaged in certain forms of work that may not necessarily correspond to formal salaried employment.

For example, employment under the survey framework can include unpaid work in household enterprises. Therefore, a district with a low unemployment rate may still face challenges involving earnings, job security, productivity or the quality of available employment.

This distinction is particularly important when comparing districts with very different economic structures.

India's Labour Market Is Highly Diverse

The district-level figures reinforce the idea that India's labour market cannot be understood through a single national unemployment number.

Some districts show relatively high labour force participation and low unemployment, while others have lower participation or larger shares of young people outside employment, education and training.

The differences can reflect variations in industry, agriculture, migration, education, urbanisation, women's workforce participation and the availability of local employment.

PLFS Redesign Improves Local-Level Labour Data

The redesigned PLFS introduced several changes to India's labour-market measurement system.

Earlier PLFS rounds were not designed to produce representative district-level estimates because NSS regions were used as the basic sampling strata.

From 2025, the survey was restructured to make districts the basic survey unit for the relevant estimates. The broader redesign also shifted the survey cycle from the July-June agricultural year to the January-December calendar year.

This provides a stronger framework for analysing labour-market conditions at a more local level.

What the New Data Means for Policymakers

The district-level estimates could help policymakers identify specific areas requiring attention.

Districts with high youth NEET rates may require stronger links between education, vocational training and employment.

Areas with low female LFPR could require policies addressing women's access to jobs, mobility, childcare and suitable workplaces.

Similarly, districts with higher unemployment may require greater investment, industrial development or targeted skill programmes, depending on the local causes.

However, the data itself does not establish why one district performs differently from another.

India's Employment Picture Goes Beyond Unemployment

The latest figures demonstrate why labour-market analysis needs multiple indicators.

Unemployment measures people who are without work but participating in the labour force. LFPR captures whether people are working or seeking work, while WPR measures actual employment.

The NEET indicator provides an additional view of young people who are outside employment, education and training.

Together, these indicators provide a more detailed picture of India's employment landscape than any single unemployment rate.

Key District-Level Labour Market Findings

IndicatorKey findingDistricts with unemployment of 0.5%-5.5%77.8%Districts with unemployment below 0.5%7.2%Districts with unemployment above 5.5%14.9%Districts with unemployment of 0.5%-3%43.1%Districts with unemployment of 3%-5.5%34.7%Districts with female LFPR of 40% or above57.8%Districts with youth NEET below 30%More than 75%Lowest unemployment among 100 most populous districtsSouth 24 Parganas and Araria — 0.9%Lowest youth NEET among 100 most populous districtsErnakulam — 9.6%Highest LFPR among 100 most populous districtsSurat — 68.6%

What Job Seekers Should Take Away

For job seekers, district-level data can offer useful context about local labour markets.

A low unemployment rate does not necessarily mean that every job seeker will find suitable employment. Likewise, a district with higher unemployment may still have strong demand in particular industries or occupations.

Young workers can therefore benefit from considering local industry demand, skill requirements and opportunities for vocational training rather than relying only on broad state or national employment figures.

Bottom Line

India's first district-level PLFS labour-market estimates provide a more detailed view of employment conditions across the country.

The data shows that 77.8% of districts recorded unemployment rates between 0.5% and 5.5%, while 14.9% reported rates above 5.5%. South 24 Parganas in West Bengal and Araria in Bihar recorded the lowest unemployment rate among the 100 most populous districts, at 0.9%.

At the same time, the data highlights wider differences in labour force participation, women's participation and youth NEET rates. Ernakulam recorded the lowest youth NEET rate among the 100 most populous districts, while Surat recorded the highest LFPR in that group.

The release marks an important expansion of India's labour-market data and could help policymakers better understand local employment conditions. However, unemployment rates should be read alongside labour participation, job quality, earnings and other local indicators before drawing broader conclusions.