Context:

• The Periodic Labour Force Survey (PLFS) Annual Report 2022-23  was recently released by the Ministry of Statistics and Programme Implementation (MoSPI).

What is a Periodic Labour Force Survey (PLFS)?

• Launched by: National Sample Survey Office (NSSO)  in 2017.
• Objective: To estimate the key employment and unemployment indicators in:
  • Short time interval of three months for the urban areas only in the ‘Current Weekly Status’ (CWS). Both ‘Usual Status’ (ps+ss) and CWS in both rural and urban areas annually.
• The key employment and unemployment indicators are definedin periodic labour force survey, as: 
  • Labour Force Participation Rate (LFPR): LFPR is defined as the percentage of persons in labour force (i.e. working or seeking or available for work) in the population.
  • Worker Population Ratio (WPR): WPR is defined as the percentage of employed persons in the population.
  • Unemployment Rate (UR): UR is defined as the percentage of persons unemployed among the persons in the labor force.

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What are the key highlights from the periodic Labour force survey 2022-2023?

• LFPR Status in Periodic Labour Force Survey
  • In rural areas, LFPR increased from 50.7% in 2017-18 to 60.8% in 2022-23 while for urban areas it increased from 47.6% to 50.4%. 
  • LFPR for male in India increased from 75.8% in 2017-18 to 78.5% in 2022-23 and corresponding increase in LFPR for female was from 23.3% to 37.0%.
• WPR Status in Periodic Labour Force Survey
• • In rural areas, WPR increased from 48.1% in 2017-18 to 59.4% in 2022-23 while for urban areas it increased from 43.9% to 47.7%. 
  • WPR for male in India increased from 71.2% in 2017-18 to 76.0% in 2022-23 and corresponding increase in WPR for female was from 22.0% to 35.9%.
• UR  Status in Periodic Labour Force Survey
  • In rural areas, UR decreased from 5.3% in 2017-18 to 2.4% in 2022-23 while for urban areas it decreased from 7.7% to 5.4%. 
  • UR for male in India decreased from 6.1% in 2017-18 to 3.3% in 2022-23 and corresponding decrease in UR for female was from 5.6% to 2.9%.

News Source: PIB

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