First-Ever District-Level Jobs Data Reveals Wide Gaps In Female Workforce Participation
GS3Economy · S&T · Environment · Security· Employment & inclusive growth· Prelims·
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
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This note is generated automatically from SatyaDheesh's news feed and mapped to the UPSC CSE syllabus. Check facts against the original report or PIB before using them in an answer.