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    Home / Central Data Catalog / PLFS / DDI-IND-NSO-PLFS-APR-JUN2025-TO-OCT-DEC2025
PLFS

unit-level data of PLFS for quarterly (Apr-June 2025 to Oct-Dec 2025)

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Reference ID
DDI-IND-NSO-PLFS-Apr-Jun2025-to-Oct-Dec2025
Collections
Periodic Labour Force Survey
Metadata
DDI/XML JSON
Created on
May 05, 2026
Last modified
Jun 18, 2026
Page views
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  • Study Description
  • Data Dictionary
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  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Metadata production
  • Identification

    Survey ID number

    DDI-IND-NSO-PLFS-Apr-Jun2025-to-Oct-Dec2025

    Title

    unit-level data of PLFS for quarterly (Apr-June 2025 to Oct-Dec 2025)

    Abstract

    PLFS was launched in 2017 essentially to address the following two objectives
    • to estimate the key employment and unemployment indicators (viz. Worker Population Ratio, Labour Force Participation Rate, Unemployment Rate) in the short time interval of three months for the urban areas only in the Current Weekly Status (CWS)
    • to estimate employment and unemployment indicators in both usual status (ps+ss) and CWS in both rural and urban areas annually
    Usual Status (ps+ss) and Current Weekly Status (CWS) refers to frameworks for determining activity status of persons surveyed based on reference periods of last 365 days and last 7 days preceding the date of survey, respectively.
    Considering the need for generation of high-frequency labour force indicators with enhanced coverage, the sampling methodology of Periodic Labour Force Survey (PLFS) has been revamped from January 2025. The revamped PLFS design is envisaged to address the following objectives
    • to estimate the key employment and unemployment indicators (viz. Labour Force Participation Rate, Worker Population Ratio and Unemployment Rate) on a monthly basis for rural and urban areas in the Current Weekly Status (CWS1) at all India level
    • to extend the coverage of the Quarterly results of PLFS to rural areas and thereby producing quarterly estimates covering both rural and urban areas of India in the Current Weekly Status (CWS)
    • to estimate important employment and unemployment indicators in both Usual Status2 (ps+ss) and CWS for rural and urban areas annually

    Indicators

    In the quarterly bulletin, estimates of key labour force indicators, viz., Labour Force Participation Rate (LFPR), Worker Population Ratio (WPR), Unemployment Rate (UR), distribution of workers by broad status in employment and industry of work in the Current Weekly Status (CWS) are presented separately for rural areas, urban areas and rural and urban areas combined.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    The first stage unit (FSU) is the 2011 census village in the rural sector. In the case of Kerala, Panchayat Wards will be FSUs in rural sector. FSU in the urban sector in PLFS is the Urban Frame Survey (UFS) block.

    Scope

    Keywords
    PLFS LFPR UR CWS Current Weekly Status Worker Population Ratio WPR Unemployment Rate Labour Force Participation Rate Periodic Labour Force Survey

    Coverage

    Geographic Coverage

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

    Producers and sponsors

    Funding Agency/Sponsor
    Name Abbreviation
    MINISTRY OF STATISTICS & PROGRAMME IMPLEMENTATION MoSPI

    Sampling

    Sampling Procedure

    A rotational panel sampling design has been used in the survey. The rotational scheme is of two-year duration to accommodate the changes in the frame in the intercensal period, in the sense that the sampling frames for both rural and urban areas will remain unchanged for every two-year duration. In this rotational panel scheme, each selected household has been visited four times in four consecutive months – one with first visit schedule and other three with the revisit schedule. Monthly estimates were generated for successive months without any break in the series starting from the fourth month (April 2025). The rotational panel scheme ensures a 50% matching of the samples surveyed between two consecutive quarters. The quarterly estimates were generated following the Current Weekly Status (CWS) approach.

    The first visit schedules are canvassed in the selected households. The selected FSUs/households were revisited in the subsequent three months, as the panel will remain in the sample for four months. During the revisit, listing and selection of households were not done afresh. Only the households selected during the first visit were revisited for the canvassing revisit schedule. At the time of revisit, if any sample household is not found, same treated as a casualty and a substitute household is not surveyed. If any sample household is found to be split, then, among the split households available in the FSU/sub-block, the household where the head/senior most member of the erstwhile household available is covered.
    A stratified multi-stage design was adopted for PLFS. The first stage units (FSU) were the Urban Frame Survey (UFS) blocks in urban areas and 2011 Population Census villages (Panchayat wards for Kerala) in rural areas. The ultimate stage units (USU) were households. As in usual NSS rounds, in the case of large FSUs, one intermediate stage unit, called hamlet group/sub-block, was formed.

    The sampling frame for the urban sector is the list of Urban Frame Survey (UFS) blocks as per the latest UFS and for the rural sector, it is the list of villages as per Census 2011, updated by removing those villages that are urbanized and included in the latest UFS (till the time of sample selection). To ensure uniformity in the size of FSUs and for operational convenience, large villages/UFS blocks are notionally divided into smaller units of more or less equal size, known as sub-units depending on a pre-defined criteria of population in the village or number of households in the UFS block.

    Metadata production

    DDI Document ID

    DDI-IND-NSO-PLFS-Apr-Jun2025-to-Oct-Dec2025

    Producers
    Name Affiliation
    NSS MoSPI
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