The dataset consists of the average number of hours actually worked as reported by people during the Periodic Labour Force Survey. The data is available by region- urban and rural, gender- male and female, and by status of employment- self employed, salaried, and casual labourers. The years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years.

Abstract

The objective of PLFS is primarily on two aspects. The first is to measure the dynamics in labour force participation and employment status in the short time interval of three months for the urban areas only in the Current Weekly Status (CWS). Thus, in every quarter, PLFS will bring out the level and change estimates of the key labour force indicators in CWS viz. Worker Population Ratio (WPR), Labour Force Participation Rate (LFPR), Unemployment Rate (UR). Secondly, for both rural and urban areas, level estimates of all important parameters in both usual status and CWS will be brought out annually.

Geographic coverage

The survey will cover the whole of the Indian Union except the villages in Andaman and Nicobar Islands which remain extremely difficult to access throughout the year.

Sampling procedure

In a large village, there exist usually a few localities or pockets where the houses of the village tend to cluster together. These are called 'hamlets'. In case there are no such recognised hamlets in the village, the census sub-divisions of the village (e.g. enumeration blocks or groups of census house numbers or geographically distinct blocks of houses) may be treated as 'hamlets'. Large hamlets may be divided artificially to achieve more or less equal population content for the purpose of hamlet-group formation. The procedure for formation of hamlet-groups is best described, perhaps, by listing sequentially the steps involved: (i) Identify the hamlets as described above. (ii) Ascertain approximate present population of each hamlet. (iii) Draw a notional map in block 3 showing the location of the hamlets and number them in a serpentine order starting from the northwest corner and proceeding southwards. While drawing this map, uninhabited area (non-abadi area) of the village will be included as part of nearby hamlet, so that no area of the village is left out. The boundaries of the hamlets may be defined with the help of some landmarks like canals, footpaths, railway lines, roads, cadastral survey plot numbers etc., so that it would be possible to identify and locate the geographical boundaries of the hamlet-groups to be formed in the village. (iv) List the hamlets in Block 4.1 in the order of their numbering. Indicate the present population content in terms of percentages. (v) Group the hamlets into D hamlet-groups. The criteria to be adopted for hamlet-group formation are equality of population content and geographical contiguity (numbering of hamlets is not to be adopted as a guideline for grouping). In case there is a conflict between the two aspects, geographical contiguity is to be given priority. However, there should not be substantial difference between the population of the smallest and the largest hamlet-group formed. Indicate the grouping in the map. (vi) Number the hamlet-groups serially in column (1) of Block 4.2. The hamlet-group containing hamlet number 1 will be numbered as 1, the hamlet-group with next higher hamlet number not included in hg 1 will be numbered as 2 and so on. Indicate the numbers also in the notional map. It is quite possible that a hamlet-group may not be constituted of hamlets with consecutive serial numbers.

Mode of data collection

FACE TO FACE

This dataset captures the labour force participation rates (LFPR), expressed as a percentage, according to usual status (ps+ss) for different social groups. It is derived from the PLFS reports and is sourced from the Ministry of Statistics and Programme Implementation. The data provides insights into labor force engagement across various social groups. The years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years.

Data from the Periodic Labour Force Survey conducted in 2024. The survey measures key unemployment indicators.

This dataset provides the unemployment rates for major religious groups in India, based on usual status (ps+ss). For years before 2017-18, the data was obtained in different quinquennial rounds of NSSO conducted from 2004-05 (NSS 61st) to 2011-12 (NSS 68th round). From 2017-18 the data is sourced from the annual report of the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation. The data highlights unemployment trends within different religious communities.

Abstract

The objective of PLFS is primarily on two aspects. The first is to measure the dynamics in labour force participation and employment status in the short time interval of three months for the urban areas only in the Current Weekly Status (CWS). Thus, in every quarter, PLFS will bring out the level and change estimates of the key labour force indicators in CWS viz. Worker Population Ratio (WPR), Labour Force Participation Rate (LFPR), Unemployment Rate (UR). Secondly, for both rural and urban areas, level estimates of all important parameters in both usual status and CWS will be brought out annually.

Geographic coverage

The survey will cover the whole of the Indian Union except the villages in Andaman and Nicobar Islands which remain extremely difficult to access throughout the year.

Sampling procedure

In a large village, there exist usually a few localities or pockets where the houses of the village tend to cluster together. These are called 'hamlets'. In case there are no such recognised hamlets in the village, the census sub-divisions of the village (e.g. enumeration blocks or groups of census house numbers or geographically distinct blocks of houses) may be treated as 'hamlets'. Large hamlets may be divided artificially to achieve more or less equal population content for the purpose of hamlet-group formation. The procedure for formation of hamlet-groups is best described, perhaps, by listing sequentially the steps involved: (i) Identify the hamlets as described above. (ii) Ascertain approximate present population of each hamlet. (iii) Draw a notional map in block 3 showing the location of the hamlets and number them in a serpentine order starting from the northwest corner and proceeding southwards. While drawing this map, uninhabited area (non-abadi area) of the village will be included as part of nearby hamlet, so that no area of the village is left out. The boundaries of the hamlets may be defined with the help of some landmarks like canals, footpaths, railway lines, roads, cadastral survey plot numbers etc., so that it would be possible to identify and locate the geographical boundaries of the hamlet-groups to be formed in the village. (iv) List the hamlets in Block 4.1 in the order of their numbering. Indicate the present population content in terms of percentages. (v) Group the hamlets into D hamlet-groups. The criteria to be adopted for hamlet-group formation are equality of population content and geographical contiguity (numbering of hamlets is not to be adopted as a guideline for grouping). In case there is a conflict between the two aspects, geographical contiguity is to be given priority. However, there should not be substantial difference between the population of the smallest and the largest hamlet-group formed. Indicate the grouping in the map. (vi) Number the hamlet-groups serially in column (1) of Block 4.2. The hamlet-group containing hamlet number 1 will be numbered as 1, the hamlet-group with next higher hamlet number not included in hg 1 will be numbered as 2 and so on. Indicate the numbers also in the notional map. It is quite possible that a hamlet-group may not be constituted of hamlets with consecutive serial numbers.

Mode of data collection

FACE TO FACE

This dataset shows the percentage distribution of workers across different industry divisions, such as agriculture, manufacturing, and services, under usual status (ps+ss). For years before 2017-18, the data was obtained from the quinquennial employment and unemployment surveys of NSSO conducted between 1983 (NSS 38th round) and 2011-12 (68th round). From 2017-18 the data is sourced from the annual report of the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation. The categorization by PLFS is as per NIC - 2008. Since 2017-18, the years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years.

This dataset presents the average gross earnings (in Rs.) during the last 30 days for individuals engaged in self-employment work under current weekly status (CWS). The data is sourced from the annual report of the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation. It provides insights into the income generated from self-employment activities across different sectors.

This dataset provides the labour force participation rates, expressed as a percentage, for persons aged 15-29 years, 15 years and above, and all persons in usual status. The data is sourced from the annual report of the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation. The labour force participation rates indicate the proportion of individuals who are part of the labor force, within the specified age groups and time. The years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years.

This dataset provides the labour force participation rates (LFPR), in percentage terms, for major religious groups in India, based on usual status (ps+ss). It is sourced from the PLFS reports conducted by the Ministry of Statistics and Programme Implementation. The years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years.

Dataset

This dataset was created by Janhavi Jayanagarkar

Contents

This dataset provides the Worker Population Ratio (WPR) in percentage, based on both usual status (ps+ss) and current weekly status (CWS). The data is sourced from the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation.The years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years.

This dataset provides the literacy rates of persons of different age groups in both rural and urban areas as per the PLFS report. The different age groups covered include those aged 5 years and above and those aged 7 years and above.

This dataset provides the unemployment rate (UR), in percentage, according to the usual status (ps+ss) for different social groups. For years before 2017-18, the data was obtained in different quinquennial rounds of NSSO conducted from 2004-05 (NSS 61st) to 2011-12 (NSS 68th round). From 2017-18 the data is sourced from the annual report of the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Quarterly

Sampling procedure

Sample size:

This layer shows Labour Force Participation Rate (LFPR) (in percent) according to current weekly status for different States (persons, 15 years and above).Source of data: https://www.indiabudget.gov.in/economicsurvey/doc/stat/tab8.10.pdfVarious rounds of quarterly Periodic Labour Force Survey (PLFS) bulletins, Ministry of Statistics and Programme ImplementationNote: LFPR is defined as the percentage of persons in the labour force in the population.This web layer is offered by Esri India, for ArcGIS Online subscribers. If you have any questions or comments, please let us know via content@esri.in.

This dataset provides the unemployment rates and Proportion of Unemployed (PU) based on both usual status (ps+ss) and current weekly status (CWS). The data is sourced from the annual report of the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation. The data helps assess both long-term and short-term unemployment trends within the population. The data is available by region- urban and rural, and gender- male and female. The years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years.

The PLFS survey 2023-24 estimated that the labor force participation rate (LFPR) in urban areas increased to over 52 percent, higher than the previous year but still lower than in the rural areas. Labor force participation across the country stood at just over 60 percent.

This dataset provides the Worker Population Ratio (WPR), categorized by different levels of education, for persons aged 15 years and above. The data is sourced from the annual report of the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation. The data is available by highest level of education. The years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years.

Labour Force Participation Rate in India - values from PLFS and UNDP for male, female, rural, urban, state-wise, and comparison with global peers.