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Search results for "Age Group Analysis" : 1000 datasets

Datasets

Year, Region, Gender, Age Group and State wise Labour Force Participation Rates according to usual status

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

5.5 hours

Granularity

Yearly, State

Time Period

2017-18 to 2023-24, 2025

Dataset Info

Year, Region, Gender, and State wise Labour Force Participation Rate according to usual principal status

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

5.5 hours

Granularity

Yearly, State

Time Period

2020-21 to 2023-24, 2025

Dataset Info

Year, Region, Gender, Age Group and State wise Worker Population Ratio according to usual status

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

5.5 hours

Granularity

Yearly, State

Time Period

2017-18 to 2023-24

Dataset Info

Year, Region, Gender, Age Group and State wise Unemployment Rate according to usual status

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

5.5 hours

Granularity

Yearly, State

Time Period

2017-18 to 2023-24

Dataset Info

Year, Region, Gender, and State wise Worker Population Ratio according to usual principal status

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

5.5 hours

Granularity

Yearly, State

Time Period

2020-21 to 2023-24

Dataset Info

Year, Region, Gender, and State wise Unemployment Rate according to usual principal status

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

5.5 hours

Granularity

Yearly, State

Time Period

2020-21 to 2023-24

Dataset Info

NCRB - Accidental Deaths: Year, City, Age, and Gender wise Total Number of Accidental Deaths in India

Organisation

National Crime Record Bureau

Time Saved

6 hours

Granularity

Year, State, City, Age, Gender

Time Period

2001 to 2024

Dataset Info

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

HFI

Organisation

Ministry of Labour and Employment

Time Saved

6 hours

Granularity

All India

Time Period

2019-20 to 2025-26

Dataset Info

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

Organisation

Ministry of Labour and Employment

Time Saved

6 hours

Granularity

All India

Time Period

2017-18 to 2025-26

Dataset Info

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

HFI

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- and Age-group-wise All India Number of New, Exited and Rejoined EPF Subscribers

Organisation

Ministry of Labour and Employment

Time Saved

6 hours

Granularity

All India

Time Period

2017-18 to 2025-26

Dataset Info

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

Organisation

Ministry of Labour and Employment

Time Saved

6 hours

Granularity

All India

Time Period

2017-18 to 2025-26

Dataset Info

AI Results

Search results for "Age Group Analysis" : 1000 datasets

Datasets

Year, Region, Gender, Age Group and State wise Labour Force Participation Rates according to usual status

Organisation

Time Saved

Granularity

Time Period

Year, Region, Gender, and State wise Labour Force Participation Rate according to usual principal status

Organisation

Time Saved

Granularity

Time Period

👉🏻 'CSR Insights' by Dataful: Chat with India’s CSR Data

Year, Region, Gender, Age Group and State wise Worker Population Ratio according to usual status

Organisation

Time Saved

Granularity

Time Period

Year, Region, Gender, Age Group and State wise Unemployment Rate according to usual status

Organisation

Time Saved

Granularity

Time Period

Year, Region, Gender, and State wise Worker Population Ratio according to usual principal status

Organisation

Time Saved

Granularity

Time Period

Year, Region, Gender, and State wise Unemployment Rate according to usual principal status

Organisation

Time Saved

Granularity

Time Period

NCRB - Accidental Deaths: Year, City, Age, and Gender wise Total Number of Accidental Deaths in India

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

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

Organisation

Time Saved

Granularity

Time Period

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

Organisation

Time Saved

Granularity

Time Period