AI Results

AI-powered search results tailored to your query

Continue AI Search

Search results for "Labour Statistics" : 343 datasets

Datasets

PLFS: Year, Age, Region, and Gender wise Worker Population Ratio

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

5.5 hours

Granularity

Yearly

Time Period

2017-18 to 2023-24

Dataset Info

PLFS: Year, Region, and Gender wise Unemployment Rates and Proportion Unemployed

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

5.5 hours

Granularity

Yearly

Time Period

2017-18 to 2023-24

Dataset Info

PLFS: Year, Region, Gender and Quarter wise Average Daily Earnings of Casual Labourers engaged in Works other than Public Works

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

5.5 hours

Granularity

Quarterly

Time Period

2017-18 to 2023-24

Dataset Info

PLFS: Year, Region, Gender, and Social Group wise Worker Population Ratio

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

5.5 hours

Granularity

Yearly

Time Period

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

Dataset Info

PLFS: Year, Region, Gender, and Religion wise Worker Population Ratio

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

5.5 hours

Granularity

Yearly

Time Period

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

Dataset Info

MNREGA: Year-, Month-, State- and District-wise Total Persondays and Households engaged in Work

Premium

Organisation

Ministry of Rural Development

Time Saved

6 hours

Granularity

All India, Year, Month

Time Period

2014-15 to 2025-26

Dataset Info

MNREGA: Year-, Month- and State-wise Total Persondays and Households engaged in Work

Premium

Organisation

Ministry of Rural Development

Time Saved

6 hours

Granularity

All India, Year, Month

Time Period

2014-15 to 2025-26

Dataset Info

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

HFIPremium

Organisation

Ministry of Labour and Employment

Time Saved

6 hours

Granularity

State

Time Period

2019-20 to 2025-26

Dataset Info

Employees Provident Fund: Year-, Month- and Age-group-wise All India Number of New, Exited and Rejoined EPF Subscribers

HFIPremium

Organisation

Ministry of Labour and Employment

Time Saved

6 hours

Granularity

All India

Time Period

2020-21 to 2025-26

Dataset Info

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

HFIPremium

Organisation

Ministry of Labour and Employment

Time Saved

6 hours

Granularity

All India

Time Period

2020-21 to 2025-26

Dataset Info

Employees Provident Fund: Year-, Month-, Gender- and Age-group-wise All India Number of New, Exited and Rejoined EPF Subscribers

HFIPremium

Organisation

Ministry of Labour and Employment

Time Saved

6 hours

Granularity

All India

Time Period

2020-21 to 2025-26

Dataset Info

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

HFIPremium

Organisation

Ministry of Labour and Employment

Time Saved

6 hours

Granularity

All India

Time Period

2019-20 to 2025-26

Dataset Info

AI Results

Search results for "Labour Statistics" : 343 datasets

Datasets

PLFS: Year, Age, Region, and Gender wise Worker Population Ratio

Organisation

Time Saved

Granularity

Time Period

PLFS: Year, Region, and Gender wise Unemployment Rates and Proportion Unemployed

Organisation

Time Saved

Granularity

Time Period

Unlock Data, Power Your Research with the University Plan!

PLFS: Year, Region, Gender and Quarter wise Average Daily Earnings of Casual Labourers engaged in Works other than Public Works

Organisation

Time Saved

Granularity

Time Period

PLFS: Year, Region, Gender, and Social Group wise Worker Population Ratio

Organisation

Time Saved

Granularity

Time Period

PLFS: Year, Region, Gender, and Religion wise Worker Population Ratio

Organisation

Time Saved

Granularity

Time Period

MNREGA: Year-, Month-, State- and District-wise Total Persondays and Households engaged in Work

Organisation

Time Saved

Granularity

Time Period

MNREGA: Year-, Month- and State-wise Total Persondays and Households engaged in Work

Organisation

Time Saved

Granularity

Time Period

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

Organisation

Time Saved

Granularity

Time Period

Employees Provident Fund: Year-, Month- and Age-group-wise All India Number of New, Exited and Rejoined EPF Subscribers

Organisation

Time Saved

Granularity

Time Period

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

Organisation

Time Saved

Granularity

Time Period

Employees Provident Fund: Year-, Month-, Gender- and Age-group-wise All India Number of New, Exited and Rejoined EPF Subscribers

Organisation

Time Saved

Granularity

Time Period

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

Organisation

Time Saved

Granularity

Time Period