Last week, the Planning Commission filed an affidavit in the Supreme Court updating the official poverty line to Rs 965 per month in urban areas and Rs 781 in rural areas. This works out to Rs 32 and and Rs 26 per day, respectively. The perceived inadequacy of these figures has led to widespread discussion and criticism in the media. In light of the controversy, it may be worth looking at where the numbers come from in the first place. Two Measures of the BPL Population The official poverty line is determined by the Planning Commission, on the basis of data provided by the National Sample Survey Organisation (NSSO). NSSO data is based on a survey of consumer expenditure which takes place every five years. The most recent Planning Commission poverty estimates are for the year 2004-05. In addition to Planning Commission efforts to determine the poverty line, the Ministry of Rural Development has conducted a BPL Census in 1992, 1997, 2002, and 2011 to identify poor households. The BPL Census is used to target families for assistance through various schemes of the central government. The 2011 BPL Census is being conducted along with a caste census, and is dubbed the Socio-Economic & Caste Census (SECC) 2011. Details on the methodology of SECC 2011 are available in this short Ministry of Rural Development circular. Planning Commission Methodology Rural and urban poverty lines were first defined in 1973-74 in terms of Per Capita Total Expenditure (PCTE). Consumption is measured in terms of a collection of goods and services known as reference Poverty Line Baskets (PLB). These PLB were determined separately for urban and rural areas and based on a per-day calorie intake of 2400 (rural) and 2100 (urban), each containing items such as food, clothing, fuel, rent, conveyance and entertainment, among others. The official poverty line is the national average expenditure per person incurred to obtain the goods in the PLB. Since 1973-74, prices for goods in the PLB have been periodically adjusted over time and across states to deduce the official poverty line. Uniform Reference Period (URP) vs Mixed Reference Period (MRP) Until 1993-94, consumption information collected by the NSSO was based on the Uniform Reference Period (URP), which measured consumption across a 30-day recall period. That is, survey respondents were asked about their consumption in the previous 30 days. From 1999-2000 onwards, the NSSO switched to a method known as the Mixed Reference Period (MRP). The MRP measures consumption of five low-frequency items (clothing, footwear, durables, education and institutional health expenditure) over the previous year, and all other items over the previous 30 days. That is to say, for the five items, survey respondents are asked about consumption in the previous one year. For the remaining items, they are asked about consumption in the previous 30 days. Tendulkar Committee Report In 2009, the Tendulkar Committee Report suggested several changes to the way poverty is measured. First, it recommended a shift away from basing the PLB in caloric intake and towards target nutritional outcomes instead. Second, it recommended that a uniform PLB be used for both rural and urban areas. In addition, it recommended a change in the way prices are adjusted, and called for an explicit provision in the PLB to account for private expenditure in health and education. For these reasons, the Tendulkar estimate of poverty for the years 1993-94 and 2004-05 is higher than the official estimate, regardless of whether one looks at URP or MRP figures. For example, while the official 1993-94 All-India poverty figure is 36% (URP), applying the Tendulkar methodology yields a rate of 45.3%. Similarly, the official 2004-05 poverty rate is 21.8% (MRP) or 27.5% (URP), while applying the the Tendulkar methodology brings the number to 37.2%. A Planning Commission table of poverty rates by state comparing the two methodologies by is available here.
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.
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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.
