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Year, Region, Gender, and State wise Share of Regular Wage/Salaried Employees without Social Security Benefits

Dataset Overview

This dataset reports the percentage of regular wage or salaried employees in usual status (ps+ss) within the non-agriculture sector (industry divisions 05-99 of NIC-2008) who lack written job contracts, paid leave, or social security benefits for each state and union territory. The social security benefits considered for the survey were PF/ pension, gratuity, health care/maternity benefit or a com...

Number of Rows

10753

Number of Columns

8

Time Period

2017-18 to 2023-24, 2025

Sectors

Labour and Employment

Organisation

Ministry of Statistics and Programme Implementation

Sources

Periodic Labour Force Survey: Annual Reports

Update FrequencyUpdate Frequency At Source

Yearly

Last UpdatedLast Updated at Dataful

June, 2026

Granularity

Yearly, State

Time Saved

5.5 hours

Units

share_of_employees in percentage

Related Datasets

PLFS: Year, Region, and Gender wise Share of Salaried Employees without Written Contracts, Paid Leave, and Social Security Eligibility

Organisation

Ministry of Statistics and Programme Implementation

Time Period

2004-05, 2009-10, 2011-12, 2017-18 to 2023-24, 2022 to 2025

Year, Region, State and Gender wise Distribution of Workers by Broad Status in Employment according to Usual Status

Organisation

Ministry of Statistics and Programme Implementation

Time Period

2017-18 to 2023-24, 2025

Year, Region, State and Gender wise Distribution of Workers by Broad Status in Employment according to Current Weekly Status

Organisation

Ministry of Statistics and Programme Implementation

Time Period

2017-18 to 2023-24, 2025

Data Preview

fiscal_yearstatejob_security_and_benefits_statusregiongendershare_of_employeesunitnote
2025Andhra Pradeshwith no written job contractruralmale69.8share_of_employees in percentage
2025Andhra Pradeshnot eligible for paid leaveruralmale57.9share_of_employees in percentage
2025Andhra Pradeshwithout any specified SSBruralmale59.7share_of_employees in percentage
2025Andhra Pradeshnot eligible for paid leave, without written job contract and without any specified SSBruralmale48.7share_of_employees in percentage
2025Andhra Pradeshwith no written job contractruralfemale63.4share_of_employees in percentage
2025Andhra Pradeshnot eligible for paid leaveruralfemale52share_of_employees in percentage
2025Andhra Pradeshwithout any specified SSBruralfemale62.6share_of_employees in percentage
2025Andhra Pradeshnot eligible for paid leave, without written job contract and without any specified SSBruralfemale43.8share_of_employees in percentage
2025Andhra Pradeshwith no written job contractruralperson67.9share_of_employees in percentage
2025Andhra Pradeshnot eligible for paid leaveruralperson56.2share_of_employees in percentage

Metadata

NameNumber of Distinct ValuesNumber of Unique ValuesTypeCount
fiscal_year99String10752
state4040String10752
job_security_and_benefits_status55String10752
region44String10752
gender44String10752
share_of_employees948948Float6410668
unit22String10752
note11String0

Related Datasets

PLFS: Year, Region, and Gender wise Share of Salaried Employees without Written Contracts, Paid Leave, and Social Security Eligibility

Organisation

Ministry of Statistics and Programme Implementation

Time Period

2004-05, 2009-10, 2011-12, 2017-18 to 2023-24, 2022 to 2025

Year, Region, State and Gender wise Distribution of Workers by Broad Status in Employment according to Usual Status

Organisation

Ministry of Statistics and Programme Implementation

Time Period

2017-18 to 2023-24, 2025

Year, Region, State and Gender wise Distribution of Workers by Broad Status in Employment according to Current Weekly Status

Organisation

Ministry of Statistics and Programme Implementation

Time Period

2017-18 to 2023-24, 2025

Tags

PLFS
Usual Status
Employment Conditions
+2

Citation

Ministry of Statistics and Programme Implementation. Year, Region, Gender, and State wise Share of Regular Wage/Salaried Employees without Social Security Benefits [Data set]. Dataful. https://dataful.in/datasets/20626