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In April 2020, the International Labour Organisation (ILO) estimated that nearly 2.5 crore jobs could be lost worldwide due to the COVID-19 pandemic in 2020. Further, it observed that more than 40 crore informal workers in India may get pushed into deeper poverty due to the pandemic. In this blog post, we discuss the effect of COVID-19 on unemployment in urban areas as per the quarterly Periodic Labour Force Survey (PLFS) report released last week, and highlight some of the measures taken by the central government with regard to unemployment.
Methodology for estimating unemployment in PLFS reports The National Statistics Office (NSO) released its latest quarterly PLFS report for the October-December 2020 quarter. The PLFS reports give estimates of labour force indicators including Labour Force Participation Rate (LFPR), Unemployment Rate, and distribution of workers across industries. The reports are released on a quarterly as well as annual basis. The quarterly reports cover only urban areas whereas the annual report covers both urban and rural areas. The latest annual report is available for the July 2019-June 2020 period. The quarterly PLFS reports provide estimates based on the Current Weekly Activity Status (CWS). The CWS of a person is the activity status obtained during a reference period of seven days preceding the date of the survey. As per CWS status, a person is considered as unemployed in a week if he did not work even for at least one hour on any day during the reference week but sought or was available for work. In contrast, the headline numbers on employment-unemployment in the annual PLFS reports are reported based on the usual activity status. Usual activity status relates to the activity status of a person during the reference period of the last 365 days preceding the date of the survey. |
To contain the spread of COVID-19, a nationwide lockdown was imposed from late March till May 2020. During the lockdown, severe restrictions were placed on the movement of individuals and economic activities were significantly halted barring the activities related to essential goods and services. Unemployment rate in urban areas rose to 20.9% during the April-June quarter of 2020, more than double the unemployment rate in the same quarter the previous year (8.9%). Unemployment rate refers to the percentage of unemployed persons in the labour force. Labour force includes persons who are either employed or unemployed but seeking work. The lockdown restrictions were gradually relaxed during the subsequent months. Unemployment rate also saw a decrease as compared to the levels seen in the April-June quarter of 2020. During the October-December quarter of 2020 (latest data available), unemployment rate had reduced to 10.3%. However, it was notably higher than the unemployment rate in the same quarter last year (7.9%).
Figure 1: Unemployment rate in urban areas across all age groups as per current weekly activity status (Figures in %)
Note: PLFS includes data for transgenders among males.
Sources: Quarterly Periodic Labour Force Survey Reports, Ministry of Statistics and Program Implementation; PRS.
Recovery post-national lockdown uneven in case of females
Pre-COVID-19 trends suggest that the female unemployment rate has generally been higher than the male unemployment rate in the country (7.3% vs 9.8% during the October-December quarter of 2019, respectively). Since the onset of the COVID-19 pandemic, this gap seems to have widened. During the October-December quarter of 2020, the unemployment rate for females was 13.1%, as compared to 9.5% for males.
The Standing Committee on Labour (April 2021) also noted that the pandemic led to large-scale unemployment for female workers, in both organised and unorganised sectors. It recommended: (i) increasing government procurement from women-led enterprises, (ii) training women in new technologies, (iii) providing women with access to capital, and (iv) investing in childcare and linked infrastructure.
Labour force participation
Persons dropping in and out of the labour force may also influence the unemployment rate. At a given point of time, there may be persons who are below the legal working age or may drop out of the labour force due to various socio-economic reasons, for instance, to pursue education. At the same time, there may also be discouraged workers who, while willing and able to be employed, have ceased to seek work. Labour Force Participation Rate (LFPR) is the indicator that denotes the percentage of the population which is part of the labour force. The LFPR saw only marginal changes throughout 2019 and 2020. During the April-June quarter (where COVID-19 restrictions were the most stringent), the LFPR was 35.9%, which was lower than same in the corresponding quarter in 2019 (36.2%). Note that female LFPR in India is significantly lower than male LFPR (16.6% and 56.7%, respectively, in the October-December quarter of 2019).
Figure 2: LFPR in urban areas across all groups as per current weekly activity status (Figures in %)
Note: PLFS includes data for transgenders among males.
Sources: Quarterly Periodic Labour Force Survey Reports, Ministry of Statistics and Program Implementation; PRS.
Measures taken by the government for workers
The Standing Committee on Labour in its report released in August 2021 noted that 90% of workers in India are from the informal sector. These workers include: (i) migrant workers, (ii) contract labourers, (iii) construction workers, and (iv) street vendors. The Committee observed that these workers were worst impacted by the pandemic due to seasonality of employment and lack of employer-employee relationship in unorganised sectors. The Committee recommended central and state governments to: (i) encourage entrepreneurial opportunities, (ii) attract investment in traditional manufacturing sectors and developing industrial clusters, (iii) strengthen social security measures, (iv) maintain a database of workers in the informal sector, and (v) promote vocational training. It took note of the various steps taken by the central government to support workers and address the challenges and threats posed by the COVID-19 pandemic (applicable to urban areas):
The central and state governments have also taken various other measures, such as increasing spending on infrastructure creation and enabling access to cheaper lending for businesses, to sustain economic activity and boost employment generation.
The percentage of the population living below the poverty line in India decreased to 22% in 2011-12 from 37% in 2004-05, according to data released by the Planning Commission in July 2013. This blog presents data on recent poverty estimates and goes on to provide a brief history of poverty estimation in the country. National and state-wise poverty estimates The Planning Commission estimates levels of poverty in the country on the basis of consumer expenditure surveys conducted by the National Sample Survey Office (NSSO) of the Ministry of Statistics and Programme Implementation.
The current methodology for poverty estimation is based on the recommendations of an Expert Group to Review the Methodology for Estimation of Poverty (Tendulkar Committee) established in 2005. The Committee calculated poverty levels for the year 2004- 05. Poverty levels for subsequent years were calculated on the basis of the same methodology, after adjusting for the difference in prices due to inflation. Table 1 shows national poverty levels for the last twenty years, using methodology suggested by the Tendulkar Committee. According to these estimates, poverty declined at an average rate of 0.74 percentage points per year between 1993-94 and 2004-05, and at 2.18 percentage points per year between 2004-05 and 2011-12. Table 1: National poverty estimates (% below poverty line) (1993 - 2012)
Year |
Rural |
Urban |
Total |
1993 – 94 |
50.1 |
31.8 |
45.3 |
2004 – 05 |
41.8 |
25.7 |
37.2 |
2009 – 10 |
33.8 |
20.9 |
29.8 |
2011 – 12 |
25.7 |
13.7 |
21.9 |
Source: Press Note on Poverty Estimates, 2011 – 12, Planning Commission; Report of the Expert Group to Review the Methodology for Estimation of Poverty (2009) Planning Commission; PRS. State-wise data is also released by the NSSO. Table 2 shows state-wise poverty estimates for 2004-05 and 2011-12. It shows that while there is a decrease in poverty for almost all states, there are wide inter-state disparities in the percentage of poor below the poverty line and the rate at which poverty levels are declining. Table 2: State-wise poverty estimates (% below poverty line) (2004-05, 2011-12)
State |
2004-05 |
2011-12 |
Decrease |
Andhra Pradesh |
29.9 |
9.2 |
20.7 |
Arunachal Pradesh |
31.1 |
34.7 |
-3.6 |
Assam |
34.4 |
32 |
2.4 |
Bihar |
54.4 |
33.7 |
20.7 |
Chhattisgarh |
49.4 |
39.9 |
9.5 |
Delhi |
13.1 |
9.9 |
3.2 |
Goa |
25 |
5.1 |
19.9 |
Gujarat |
31.8 |
16.6 |
15.2 |
Haryana |
24.1 |
11.2 |
12.9 |
Himachal Pradesh |
22.9 |
8.1 |
14.8 |
Jammu and Kashmir |
13.2 |
10.4 |
2.8 |
Jharkhand |
45.3 |
37 |
8.3 |
Karnataka |
33.4 |
20.9 |
12.5 |
Kerala |
19.7 |
7.1 |
12.6 |
Madhya Pradesh |
48.6 |
31.7 |
16.9 |
Maharashtra |
38.1 |
17.4 |
20.7 |
Manipur |
38 |
36.9 |
1.1 |
Meghalaya |
16.1 |
11.9 |
4.2 |
Mizoram |
15.3 |
20.4 |
-5.1 |
Nagaland |
9 |
18.9 |
-9.9 |
Odisha |
57.2 |
32.6 |
24.6 |
Puducherry |
14.1 |
9.7 |
4.4 |
Punjab |
20.9 |
8.3 |
12.6 |
Rajasthan |
34.4 |
14.7 |
19.7 |
Sikkim |
31.1 |
8.2 |
22.9 |
Tamil Nadu |
28.9 |
11.3 |
17.6 |
Tripura |
40.6 |
14.1 |
26.5 |
Uttar Pradesh |
40.9 |
29.4 |
11.5 |
Uttarakhand |
32.7 |
11.3 |
21.4 |
West Bengal |
34.3 |
20 |
14.3 |
All Inda |
37.2 |
21.9 |
15.3 |
Source: Review of Expert Group to Review the Methodology for Estimation of Poverty (2009) Planning Commission, Government of India; Press Note on Poverty Estimates, 2011 – 12 (2013) Planning Commission, Government of India; PRS. Note: A negative sign before the number in column four (decrease) indicates an increase in percentage of population below the poverty line. History of poverty estimation in India Pre independence poverty estimates: One of the earliest estimations of poverty was done by Dadabhai Naoroji in his book, ‘Poverty and the Un-British Rule in India’. He formulated a poverty line ranging from Rs 16 to Rs 35 per capita per year, based on 1867-68 prices. The poverty line proposed by him was based on the cost of a subsistence diet consisting of ‘rice or flour, dhal, mutton, vegetables, ghee, vegetable oil and salt’. Next, in 1938, the National Planning Committee (NPC) estimated a poverty line ranging from Rs 15 to Rs 20 per capita per month. Like the earlier method, the NPC also formulated its poverty line based on ‘a minimum standard of living perspective in which nutritional requirements are implicit’. In 1944, the authors of the ‘Bombay Plan’ (Thakurdas et al 1944) suggested a poverty line of Rs 75 per capita per year. Post independence poverty estimates: In 1962, the Planning Commission constituted a working group to estimate poverty nationally, and it formulated separate poverty lines for rural and urban areas – of Rs 20 and Rs 25 per capita per year respectively. VM Dandekar and N Rath made the first systematic assessment of poverty in India in 1971, based on National Sample Survey (NSS) data from 1960-61. They argued that the poverty line must be derived from the expenditure that was adequate to provide 2250 calories per day in both rural and urban areas. This generated debate on minimum calorie consumption norms while estimating poverty and variations in these norms based on age and sex. Alagh Committee (1979): In 1979, a task force constituted by the Planning Commission for the purpose of poverty estimation, chaired by YK Alagh, constructed a poverty line for rural and urban areas on the basis of nutritional requirements. Table 3 shows the nutritional requirements and related consumption expenditure based on 1973-74 price levels recommended by the task force. Poverty estimates for subsequent years were to be calculated by adjusting the price level for inflation. Table 3: Minimum calorie consumption and per capita consumption expenditure as per the 1979 Planning Commission task force on poverty estimation
Area | Calories | Minimum consumption expenditure (Rs per capita per month) |
Rural | 2400 | 49.1 |
Urban | 2100 | 56.7 |
Source: Report of the Expert Group on Estimation of Proportion and Number of Poor, 1993, Perspective Planning Division, Planning Commission; PRS Lakdawala Committee (1993): In 1993, an expert group constituted to review methodology for poverty estimation, chaired by DT Lakdawala, made the following suggestions: (i) consumption expenditure should be calculated based on calorie consumption as earlier; (ii) state specific poverty lines should be constructed and these should be updated using the Consumer Price Index of Industrial Workers (CPI-IW) in urban areas and Consumer Price Index of Agricultural Labour (CPI-AL) in rural areas; and (iii) discontinuation of ‘scaling’ of poverty estimates based on National Accounts Statistics. This assumes that the basket of goods and services used to calculate CPI-IW and CPI-AL reflect the consumption patterns of the poor. Tendulkar Committee (2009): In 2005, another expert group to review methodology for poverty estimation, chaired by Suresh Tendulkar, was constituted by the Planning Commission to address the following three shortcomings of the previous methods: (i) consumption patterns were linked to the 1973-74 poverty line baskets (PLBs) of goods and services, whereas there were significant changes in the consumption patterns of the poor since that time, which were not reflected in the poverty estimates; (ii) there were issues with the adjustment of prices for inflation, both spatially (across regions) and temporally (across time); and (iii) earlier poverty lines assumed that health and education would be provided by the State and formulated poverty lines accordingly.[1] It recommended four major changes: (i) a shift away from calorie consumption based poverty estimation; (ii) a uniform poverty line basket (PLB) across rural and urban India; (iii) a change in the price adjustment procedure to correct spatial and temporal issues with price adjustment; and (iv) incorporation of private expenditure on health and education while estimating poverty. The Committee recommended using Mixed Reference Period (MRP) based estimates, as opposed to Uniform Reference Period (URP) based estimates that were used in earlier methods for estimating poverty.[2] It based its calculations on the consumption of the following items: cereal, pulses, milk, edible oil, non-vegetarian items, vegetables, fresh fruits, dry fruits, sugar, salt & spices, other food, intoxicants, fuel, clothing, footwear, education, medical (non-institutional and institutional), entertainment, personal & toilet goods, other goods, other services and durables. The Committee computed new poverty lines for rural and urban areas of each state. To do this, it used data on value and quantity consumed of the items mentioned above by the population that was classified as poor by the previous urban poverty line. It concluded that the all India poverty line was Rs 446.68 per capita per month in rural areas and Rs 578.80 per capita per month in urban areas in 2004-05. The following table outlines the manner in which the percentage of population below the poverty line changed after the application of the Tendulkar Committee’s methodology. Table 4: Percentage of population below poverty line calculated by the Lakdawala Committee and the Tendulkar Committee for the year 2004-05
Committee |
Rural |
Urban |
Total |
Lakdawala Committee |
28.3 |
25.7 |
27.5 |
Tendulkar Committee |
41.8 |
27.5 |
37.2 |
Source: Report of the Expert Group on Estimation of Proportion and Number of Poor, 1993, Perspective Planning Division, Planning Commission; Report of the Expert Group to Review the Methodology for Estimation of Poverty, 2009, Planning Commission; PRS The Committee also recommended a new method of updating poverty lines, adjusting for changes in prices and patterns of consumption, using the consumption basket of people close to the poverty line. Thus, the estimates released in 2009-10 and 2011-12 use this method instead of using indices derived from the CPI-AL for rural areas and CPI-IW for urban areas as was done earlier. Table 5 outlines the poverty lines computed using the Tendulkar Committee methodology for the years 2004-05, 2009-10 and 2011-12. Table 5: National poverty lines (in Rs per capita per month) for the years 2004-05, 2009-10 and 2011-12
Year |
Rural |
Urban |
2004-05 |
446.7 |
578.8 |
2009-10 |
672.8 |
859.6 |
2011-12 |
816.0 |
1000.0 |
Source: Report of the Expert Group to Review the Methodology for Estimation of Poverty (2009) Planning Commission; Poverty Estimates 2009-10 and Poverty Estimates 2011-12, Planning Commission; PRS Rangarajan Committee: In 2012, the Planning Commission constituted a new expert panel on poverty estimation, chaired by C Rangarajan with the following key objectives: (i) to provide an alternate method to estimate poverty levels and examine whether poverty lines should be fixed solely in terms of a consumption basket or if other criteria are also relevant; (ii) to examine divergence between the consumption estimates based on the NSSO methodology and those emerging from the National Accounts aggregates; (iii) to review international poverty estimation methods and indicate whether based on these, a particular method for empirical poverty estimation can be developed in India, and (iv) to recommend how these estimates of poverty can be linked to eligibility and entitlements under the various schemes of the Government of India. The Committee is expected to submit its report by 2014.
[1] While private expenditure on education and health was covered in the base year 1973-74, no account was taken of either the increase in the proportion of these in total expenditure over time or of their proper representation in available price indices.
[2] Under the URP method, respondents are asked to detail consumption over the previous 30 days; whereas under the MRP method five low-frequency items (clothing, footwear, durables, education and institutional health expenditure) are surveyed over the previous 365 days, and all other items over the previous 30 days.