PERIODIC LABOUR FORCE SURVEY (PLFS)
1. Context
Recently, the Ministry of Statistics and Programme Implementation released the results of the Periodic Labour Force Survey for the period July 2022 to June 2023. This is the sixth PLFS report and each tracks 12 months between July and June.
2. About The Periodic Labour Force Survey (PLFS)
- The Periodic Labour Force Survey (PLFS) is a sample survey conducted by the National Sample Survey Office (NSSO) of India to provide information on the labour force and employment situation in the country.
- The survey is conducted annually in all the states and union territories of India.
- The PLFS provides data on various employment indicators, including the labour force participation rate (LFPR), unemployment rate (UR), worker population ratio (WPR), and employment by industry and occupation.
- The PLFS sheds light on the proportion of individuals seeking employment, the unemployment rate, gender disparities in employment and wages, and the sectoral distribution of workers.
- Additionally, it details the types of employment, such as casual labour, self-employment, and regular salaried jobs.
- This comprehensive data is crucial for understanding the dynamics of the Indian labour market and formulating effective employment strategies.
3. Data Collection Methods in PLFS
- The Periodic Labour Force Survey (PLFS) collects employment data using two methods: Usual Status (US) and Current Weekly Status (CWS).
- In the US method, respondents are asked to recall their employment details for the past year, while in the CWS method, they are asked to recall their employment details for the past week.
- The labour force estimate derived from the US method includes individuals who worked or were seeking/available for work for a significant portion of the past year, as well as those who worked for at least 30 days during the reference period.
- Conversely, the labour force estimate based on the CWS method encompasses those who worked for at least one hour or sought/were available for work for at least one hour on any day during the past week.
- The global trend has shifted towards a greater emphasis on CWS data due to the improved accuracy of recall for shorter reference periods.
4. Latest findings of the Report
Unemployment Rate (UER)
- The UER is often the most talked about metric in popular discourse. Simply put, it refers to the proportion of people who demanded work over the past year and failed to get it.
- As the data in Table 1 shows, for the population above 15 years of age, the UER has fallen significantly from 6.6% to 5.1% over the last year (that is, July to June cycle).
- Simply put, 5.1% of all the people above 15 years of age who demanded work failed to get one.
Labour Force Participation Rate (LFPR)
- The Unemployment Rate (UER) is calculated as a proportion of the population that is demanding work.
- However, this population also fluctuates for various reasons. The Labor Force Participation Rate (LFPR) is a measure of the total population demanding work, expressed as a proportion of the total population above 15 years of age.
- As seen in Table 1, India's LFPR, which had been gradually increasing, has experienced a significant surge in the past year.
- As of 2022-23, 54.6% of all Indians above the age of 15 were actively seeking employment.
LFPR for women
- This metric looks at LFPR among women to ascertain where the additional demand for jobs is coming from.
- The data shows that female LFPR has gone up over the years but there were two discrete step-ups one in 2019-20 (when India’s GDP growth rate had slowed down to less than 4% and this was before the Covid pandemic hit) and the second in 2022-23 when it rose to 31.6%.
Worker Population Rate
- Since the proportion of people demanding work (the LFPR) goes up and down and the percentage of those failing to get a job (the UER) is expressed as a proportion of the former, it can throw off analysis.
- As such, there is another way to look at the labour market: Worker Population Ratio (WPR).
- The WPR is the percentage of persons employed among the persons in the population.
- Thus, instead of looking at how many demand a job and how many fail to get it, the WPR simply gives a measure of how many people have a job as a proportion of the total population.
- This metric too has been going up and especially noteworthy are the two discrete
step-ups in 2019-20 and 2022-23.
WPR among women
This metric throws light on the WPR for women to understand what’s leading to the spike in overall WPR. Again, the WPR for women has been going up but two main spikes have been in 2019-20 and 2022-23.
Monthly earnings
The PLFS reports also provide a sense of how much people earn in different types of jobs.
While it is true that incomes have broadly gone up after falling during Covid the main takeaway from this data emerges when one compares how little have monthly incomes changed over the past 6 years, especially in the face of a sharp rise in inflation. To be sure, since late 2019, annual consumer inflation has always been above the RBI’s target of 4%.
Distribution of workers
To accurately make sense of more and more people working, it is important to know not just what they earn but also what kind of work they do. For this, we look at data collected over the usual status by PLFS. Table 3 alongside gives the details of the three main classifications: self-employment, casual labour (say a construction worker) and regular salaried job. Self-employed has two sub-categories:
(i) own account worker and employer and
(ii) unpaid helper in household enterprises.
The data shows that self-employment has risen and jobs in the other two categories have fallen in proportion. It is also noteworthy that self-employment among women is the key driver for this overall trend.
5. Key Trends in PLFS 2022-23
- Upon initial analysis, the Periodic Labour Force Survey (PLFS) for 2022-23 reveals several encouraging trends. The unemployment rate is on a downward trajectory, and both the Labor Force Participation Rate (LFPR) and Workforce Participation Rate (WPR) exhibit substantial increases. A particularly heartening development is the notable rise in the participation of women in the workforce. This suggests a positive correlation between economic recovery and the creation of more employment opportunities, especially for women.
- However, a closer examination of the nature and remuneration of these new jobs alters the understanding. The predominant trend is the emergence of jobs falling under the category of "self-employment." Typically, in a growing economy, businesses tend to hire more employees. Conversely, during economic challenges, individuals often transition from regular employment to "self-employed" status. This nuanced perspective prompts a reconsideration of the quality and sustainability of the employment being generated.
- Analyzing the trends among women across various metrics reveals an interesting dynamic. The data suggests that economic strains on household finances have led more women, previously outside the workforce, to join in. However, a noteworthy observation is the prevalence of women taking up roles as "unpaid helpers in household enterprises," highlighting a complex interplay between economic conditions and women's workforce participation.
- Furthermore, an examination of the sectoral landscape indicates a regressive shift in India's employment patterns. Notably, there has been an increase in the proportion of Indians employed in agriculture over the past year, while the numbers in manufacturing have witnessed a decline. This shift underscores the evolving economic dynamics and sectoral preferences shaping the employment scenario.
- In a thriving economy, one would expect an improvement in monthly incomes. However, the Indian scenario deviates from this expectation. Despite positive indicators in other areas, the data suggests that the overall economic boom is not translating into significant improvements in monthly incomes for individuals in India. This anomaly prompts a closer examination of the factors contributing to this divergence.
6. The WayForward
While there are positive signals in the headline indicators, a more nuanced analysis reveals complexities like job creation, women's participation dynamics, sectoral shifts, and income patterns. This holistic perspective is essential for a comprehensive understanding of the multifaceted impact of economic trends on the labour market in India.
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For Prelims: Periodic Labour Force Survey, National Sample Survey Office, labour force participation rate, worker population ratio
For Mains:
1. Examine the changing nature of employment in India, as reflected in the increasing share of self-employment and the declining proportion of regular salaried jobs. Discuss the implications of this shift for the quality and sustainability of employment. (250 Words)
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Previous Year Questions 1. Given below are two statements, one is labeled as Assertion (A) and the other as Reason (R). (UPPSC 2019)
Assertion (A): The labour force participation rate is falling sharply in recent years for females in India.
Reason (R): The decline in labour force participation rate is due to improved family income and an increase in education.
Select the correct answer from the codes given below:
Codes:
A. Both (A) and (R) are true and (R) is the correct explanation of (A)
B. Both (A) and (R) are true and (R) is not the correct explanation of (A)
C. (A) is true, but (R) is false
D. (A) is false, but (R) is true
2. Which of the following statements about the employment situation in India according to the periodic Labour Force Survey 2017-18 is/are correct? (UPSC CAPF 2020)
1. Construction sector gave employment to nearly one-tenth of the urban male workforce in India
2. Nearly one-fourth of urban female workers in India were working in the manufacturing sector
3. One-fourth of rural female workers in India were engaged in the agriculture sector
Select the correct answer using the code given below:
A. 2 only B. 1 and 2 only C. 1 and 3 only D. 1, 2 and 3
3. Disguised unemployment generally means (UPSC 2013)
(a) large number of people remain unemployed
4. Assertion (A): Workers - population ratio in India is low in contrast to that in developed countries. Reason (R): Rapid growth of population, low female worker population rate and omission of unpaid family workers lead to low worker-population ratio. Choose the correct answer: (Telangana Police SI Mains 2018) A. (A) is true, but (R) is false.
B. (A) is false, but (R) is true.
C. Both (A) and (R) are true, but (R) is not a correct explanation of (A).
D. Both (A) and (R) are true, but (R) is the correct explanation of (A).
Answers: 1-C, 2-B, 3-C, 4-D Mains1. Most of the unemployment in India is structural in nature. Examine the methodology adopted to compute unemployment in the country and suggest improvements. (UPSC 2023) |
Source: The Indian Express
