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    Home / Central Data Catalog / PLFS / DDI-IND-NSO-PLFS-2024-24
PLFS

Periodic Labour Force Survey (PLFS), Key Employment Unemployment Indicators for (January 2024 - December 2024)

India
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Reference ID
DDI-IND-NSO-PLFS-2024-24
Producer(s)
NSS
Collections
Periodic Labour Force Survey
Metadata
DDI/XML JSON
Created on
Aug 25, 2025
Last modified
Aug 25, 2025
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  • Study Description
  • Data Dictionary
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  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Metadata production
  • Identification

    Survey ID number

    DDI-IND-NSO-PLFS-2024-24

    Title

    Periodic Labour Force Survey (PLFS), Key Employment Unemployment Indicators for (January 2024 - December 2024)

    Country
    Name
    INDIA
    Study type

    PLFS

    Abstract

    The objective of PLFS is primarily two fold:

    1. 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)
    2. To estimate employment and unemployment indicators in both usual status (ps+ss) and CWS in both rural and urban areas annually.

    In the Annual Report besides giving the estimates of employment and unemployment indicators in usual status (ps+ss), some indicators are also available in current weekly status (CWS). The indicators released in Annual Reports of PLFS include the following:

    > Labour Force Participation Rate (LFPR), Worker Population ratio (WPR) andUnemployment Rate
    >Distribution of workers by status in Employment
    >Distribution of workers by industry of work as National Industrial Classification (NIC)
    >Distribution of workers by occupation as National Classification of Occupation (NCO)
    >Employment in Informal Sector and conditions of employment
    > Earnings from employment
    > Hours worked

    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

    Primary investigators
    Name Affiliation
    NSS MoSPI
    Funding Agency/Sponsor
    Name
    MINISTRY OF STATISTICS & PROGRAMME IMPLEMENTATION

    Sampling

    Sampling Procedure

    A rotational panel sampling design will be used in urban area. The rotational scheme will be of two years duration to accommodate the changes in the urban frame in the intracensal 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 in urban areas will be visited four times – one with first visit schedule and other three with revisit schedule. The estimates can be given for successive quarters without any break in the series (starting from thefifth quarter), ensuring a 75% matching betwee n consecutive quarters. Regression based estimat es will not be generated. Instead, usual traditional design based estimates will begenerated. The proposed design aims at generating quarterly estimates of level and change parameters of some important labour force indicators (LFPR, WPR & UR) based on CWS data in urban areas and annual estimates of level parameters based on usual status for both rural and urban areas in the line of employment & unemployment survey of NSS quinquennial round.

    Rotational panel design for urban areas

    i. The rotational panel will be for two years, where only 25% FSUs of urban annual allocation will be covered in the first quarter (Panel P41) of the fourth two year panel with detail listing and canvassing of visit 1 schedule in the selected households; where Pij indicates the panel belonging to jth quarter of the ith two-year period of rotation.
    ii. Another 25% FSUs will be covered in the second quarter (Panel P42) for taking up visit 1 schedule and revisit schedule will be anvassed in the selected households of Panel P41.
    iii. A new panel P43 of 25% FSUs will be surveyed in third quarter with visit 1 schedule and revisit schedules will be canvassed in the households of panels P41 & P42.
    iv. In the fourth quarter, households of panels P41, P42 & P43 will be surveyed with revisit schedule and a new panel P44 with 25% FSUs for visit 1 schedule.
    v. In the subsequent quarters of second year of the third two year panel, 75% FSUs (3 panels – P42, P43 & P44) will be common and an earlier panel (P41) will be replaced by a new panel (P45) for canvassing visit 1 schedule. This will continue till 8th quarter of the fourth two year panel.
    vi. All the FSUs of the panels P41, P42, ...., P48 (each of which is with 25% of FSUs) will be selected before commencement of survey in the first quarter.
    vii. At the end of the second year of each two-year duration, updated frame will be used for both rural and urban areas.
    viii. FSUs of another set of panels P51, P52, ..., P58 s elected from the updated frame will be madeready before commencement of first quarter of fifth two year panel. These panels P51 to P58 will take care of the changes in the urban frame during the intracensal period.
    ix. In the ninth quarter (first quarter of fifth two year panel), panel P51 selected from theupdated frame will be introduced and the panels P46, P47 and P48 of the old frame will besurveyed.
    x. This scheme will continue for another 2 years with the introduction of panels P52 to P58 each in one quarter for the subsequent 7 quarters till the end of the fifth two year panel.
    xi. Since major changes in the rural-urban frame occurs in the Census years, provision is to be made to generate estimates without break in the series of estimates considering panels from pre and post-census frames.

    Weighting

    For generating sub-sample wise estimate for the Calendar Year, weight may be applied as follows:
    Final Weight = MULT /(NO_QTR100)
    For generating combined estimate for the Calendar Year (taking both the subsamples together), weights may be applied as follows:
    Final weight = MULT /(NO_QTR
    100) if NSS=NSC
    = MULT /(NO_QTR*200) otherwise.
    Where NO_QTR is count of contributing samples for State x Sector x Stratum x Sub-Stratum in four Quarters.

    Data collection

    Mode of data collection
    • Face-to-face computer-assisted interviews [CAPI]

    Metadata production

    DDI Document ID

    DDI-IND-NSO-PLFS-2024-24

    Producers
    Name Abbreviation Affiliation Role
    DIID MOSPI M/o STATISTICS & PROGRAMME IMPLEMENTATION DOCUMENTATION OF THE STUDY
    Date of Metadata Production

    2025-04-15

    Metadata version

    DDI Document version

    v1.1

    Version date

    2025-04-15

    Back to Catalog
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