Dataful Logo
search Logohamberger Logo
cross
DatasetsHFIs
Categoriesdown
Collectionschevron

Popular collections

See all collections
District DataCatalogsSectors
Pricing
AI Productsdown
GopieTagore AICSR Insights
Insights
Sign in
Dataful Logo
DatasetsHFIs
Categoriesdown
Collectionschevron

Popular collections

See all collections
District DataCatalogsSectors
Pricing
AI Productsdown
GopieTagore AICSR Insights
Insights
Datasets
Downloaded
0 out of 0close
dataful-logo

A Factly product.

  • FAQs
  • Mentions
  • Counting india
  • Who We Serve
  • About Us
  • Team
  • Contact Us
  • Terms and Conditions

© 2014-2026 Factly Media & Research. All rights reserved.

Employees Provident Fund: Year-, Month-, Industry-type- and Age-group-wise All India Estimate of Net Payroll

Dataset Overview

The dataset contains year-, month-, industry-type- and age-group-wise compiled data on the estimated net payroll of the employment provident fund organization (EPFO). The different age groups covered in the dataset include less than 18 years, 18 to 21, 22 to 25, 26 to 28, 29 to 35, above 35 years, etc., and the different types of industries covered in the dataset include trading, commercial establ...

HFI

Organisation

Ministry of Labour and Employment

Sectors

Labour and Employment

Update Frequency

Monthly

Granularity

All India

Time Saved

6 hours

Number of Rows

3965

Number of Columns

8

Sources

EPFO: Provisional Monthly Estimate of Payroll

Time Period

2019-20 to 2025-26

Units

value in absolute number

Last Updated

March, 2026

Related Datasets

Employees Provident Fund: Year- and Age-group-wise All India Estimate of Net Payroll

Organisation

Ministry of Labour and Employment

Time Period

2017-18 to 2025-26

Employees Provident Fund: Year-, Month- and Age-group-wise All India Estimate of Net Payroll

Organisation

Ministry of Labour and Employment

Time Period

2020-21 to 2025-26

Employees Provident Fund: Year-, Industry-type- and Age-group-wise All India Estimate of Net Payroll

Organisation

Ministry of Labour and Employment

Time Period

2017-18 to 2025-26

Data Preview

fiscal_yearmonthstateindustry_typeage_groupvalueunitnote
2025-26JulyAll IndiaExpert services26 to 28 years111590value in Absolute Number
2025-26JulyAll IndiaOthers26 to 28 years25883value in Absolute Number
2025-26JulyAll IndiaBuilding and construction industry26 to 28 years15848value in Absolute Number
2025-26JulyAll IndiaTrading commercial establishments26 to 28 years17021value in Absolute Number
2025-26JulyAll IndiaEngineers engg contractors26 to 28 years12820value in Absolute Number
2025-26JulyAll IndiaElec, mech or gen engg products26 to 28 years13454value in Absolute Number
2025-26JulyAll IndiaFinancing establishment26 to 28 years10268value in Absolute Number
2025-26JulyAll IndiaEstablishments engaged in cleaning,sweeping services26 to 28 years6921value in Absolute Number
2025-26JulyAll IndiaEstablishment engaged in manufacture, marketing servicing, usage of computers26 to 28 years4990value in Absolute Number
2025-26JulyAll IndiaTextiles26 to 28 years7737value in Absolute Number

Metadata

NameNumber of Distinct ValuesNumber of Unique ValuesTypeCount
fiscal_year77String3965
month1212String3965
state11String3965
industry_type1919String3965
age_group66String3965
value35053505Float643965
unit11String3965
note11String0

Related Datasets

Employees Provident Fund: Year- and Age-group-wise All India Estimate of Net Payroll

Organisation

Ministry of Labour and Employment

Time Period

2017-18 to 2025-26

Employees Provident Fund: Year-, Month- and Age-group-wise All India Estimate of Net Payroll

Organisation

Ministry of Labour and Employment

Time Period

2020-21 to 2025-26

Employees Provident Fund: Year-, Industry-type- and Age-group-wise All India Estimate of Net Payroll

Organisation

Ministry of Labour and Employment

Time Period

2017-18 to 2025-26

Tags

employment
epfo
statistics
+15

Citation

Ministry of Labour and Employment. Employees Provident Fund: Year-, Month-, Industry-type- and Age-group-wise All India Estimate of Net Payroll [Data set]. Dataful. https://dataful.in/datasets/19334