| fiscal_year | month | state | industry_type | age_group | value | unit | note |
|---|---|---|---|---|---|---|---|
| 2025-26 | July | All India | Expert services | 26 to 28 years | 111590 | value in Absolute Number | |
| 2025-26 | July | All India | Others | 26 to 28 years | 25883 | value in Absolute Number | |
| 2025-26 | July | All India | Building and construction industry | 26 to 28 years | 15848 | value in Absolute Number | |
| 2025-26 | July | All India | Trading commercial establishments | 26 to 28 years | 17021 | value in Absolute Number | |
| 2025-26 | July | All India | Engineers engg contractors | 26 to 28 years | 12820 | value in Absolute Number | |
| 2025-26 | July | All India | Elec, mech or gen engg products | 26 to 28 years | 13454 | value in Absolute Number | |
| 2025-26 | July | All India | Financing establishment | 26 to 28 years | 10268 | value in Absolute Number | |
| 2025-26 | July | All India | Establishments engaged in cleaning,sweeping services | 26 to 28 years | 6921 | value in Absolute Number | |
| 2025-26 | July | All India | Establishment engaged in manufacture, marketing servicing, usage of computers | 26 to 28 years | 4990 |
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
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...
| value in Absolute Number |
| 2025-26 | July | All India | Textiles | 26 to 28 years | 7737 | value in Absolute Number |
