With reference to the district-level labour market estimates released by the NSO, consider the following statements: 1. The female LFPR in East Delhi was recorded at 80.9%. 2. Surat recorded the highest LFPR at 68.6% and WPR at 67.8%. 3. South 24 Parganas recorded the lowest unemployment rate at 0.9%. Which of the statements given above is/are correct?

First-Ever District-Level Jobs Data Reveals Wide Gaps In Female Workforce Participation

GS3Economy · S&T · Environment · Security· Employment & inclusive growth· Prelims· 19 September 2026

Regional disparities in female LFPR: a key GS3 dimension for analyzing inclusive growth and gender economics.

Why in news

The National Statistical Office released India's first district-level labour market estimates under the revamped Periodic Labour Force Survey (PLFS).

Background

The National Statistical Office released district-level estimates showing Surat had the highest LFPR (68.6%) and WPR (67.8%). Female LFPR ranged from 80.9% in Hamirpur to 18.9% in East Delhi.

Facts for Prelims

FactSurat recorded the highest LFPR at 68.6% and WPR at 67.8%.
FactFemale LFPR ranged from 80.9% in Hamirpur to 18.9% in East Delhi.
FactSouth 24 Parganas recorded the lowest unemployment rate at 0.9%.
FactErnakulam recorded the lowest NEET rate at 9.6%.
BodyThe Periodic Labour Force Survey (PLFS) is the source of the district-level labour market estimates.

Prelims practice question

With reference to the district-level labour market estimates released by the NSO, consider the following statements:

The female LFPR in East Delhi was recorded at 80.9%.
Surat recorded the highest LFPR at 68.6% and WPR at 67.8%.
South 24 Parganas recorded the lowest unemployment rate at 0.9%.

Which of the statements given above is/are correct?

(a)2 only
(b)3 only
(c)1 and 2 only
(d)2 and 3 only

Show answer

Answer: (d) 2 and 3 only — Statements 2 and 3 are correct. Statement 1 is incorrect: The female LFPR in East Delhi was 18.9%, while Hamirpur recorded 80.9%.

For Mains

Q. Analyze the factors contributing to the wide regional disparities in female labour force participation across different districts in India.

Dimensions to cover in your answer

Structural barriers: Limited access to safe transport and childcare in low-WPR districts
Regional disparity: Correlation between industrial concentration in cities like Surat and higher LFPR
Data granularity: Utility of district-level PLFS data for localized gender-responsive policy interventions

Keywords: Labour Force Participation Rate · Gender disparity · Regional imbalance · Periodic Labour Force Survey · Unemployment dynamics

Read the full news →Report a mistake in this note Source: NDTV ↗Also: GS1 · Women & gender issues

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