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PLFS: Year, Region, and Gender wise Share of Salaried Employees without Written Contracts, Paid Leave, and Social Security Eligibility
Year, Quarter, Region, Gender, and State wise Average Wage/Salary Earnings in the Previous Month for Regular Wage/Salaried Employment

Search results for "Wage Employees" : 62 datasets

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 Saved

5.5 hours

Granularity

Yearly

Time Period

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

Dataset Info

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

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, Quarter, Region, Gender, and State wise Average Wage/Salary Earnings in the Previous Month for Regular Wage/Salaried Employment

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

5.5 hours

Granularity

Yearly, State

Time Period

2017-18 to 2023-24

Dataset Info

Data about personnel in Indian Railways

Organisation

Ministry of Railways

Time Saved

2.5 hours

Granularity

All India

Time Period

1950-51, 1960-61,1970-71,1980-81, 1990-91,2000-01, 2010-11, 2012-13 to 2023-24

Dataset Info

Year, State, Sphere and dispute type-wise number of industrial disputes, number of workers involved and the mandays lost.

Organisation

Ministry of Labour and Employment

Time Saved

5 hours

Granularity

Year, State, Sphere

Time Period

2008 to 2018

Dataset Info

Year, State, Sphere, and dispute-type wise number of industrial disputes, number of workers involved and the mandays lost in Public Sector

Organisation

Ministry of Labour and Employment

Time Saved

5 hours

Granularity

Year, State, Sphere

Time Period

2008 to 2018

Dataset Info

All India, Year, Month, Sphere and dispute-type wise causes of industrial disputes, number of workers involved and the mandays lost.

Organisation

Ministry of Labour and Employment

Time Saved

5 hours

Granularity

Year, Month, Sphere

Time Period

2008 to 2018

Dataset Info

All India, Year, Sector, Sphere, and dispute type-wise number of Industrial disputes, number of workers involved and the mandays lost.

Organisation

Ministry of Labour and Employment

Time Saved

5 hours

Granularity

Year, Sector, Sphere

Time Period

2008 to 2023

Dataset Info

Suicides in India from NCRB: Year-, State- and Gender-wise Number of Suicides by Profession of Victims

Organisation

National Crime Record Bureau

Time Saved

6 hours

Granularity

State

Time Period

2004 to 2022

Dataset Info

Suicides in India from NCRB: Year- and Gender-wise Number of Suicides by Profession of Victims

Organisation

National Crime Record Bureau

Time Saved

6 hours

Granularity

All India

Time Period

2004 to 2022

Dataset Info

Year wise Principal Characteristics of Industries

Organisation

Reserve Bank of India

Time Saved

4.5 hours

Granularity

Yearly

Time Period

1990-91 to 2021-22

Dataset Info

Indian Railways - Master Data: Year-wise Assets, Employees, Transportation, Traffic, Revenue, Expenditure, and Others, since 1950-51

Organisation

Ministry of Railways

Time Saved

4 hours

Granularity

All India

Time Period

1950-51, 1960-61, 1970-71, 1980-81, 1990-91, 2000-01, 2010-11, 2013-14 to 2023-24

Dataset Info

AI Results

Search results for "Wage Employees" : 62 datasets

Datasets

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

Organisation

Time Saved

Granularity

Time Period

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

Organisation

Time Saved

Granularity

Time Period

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Year, Quarter, Region, Gender, and State wise Average Wage/Salary Earnings in the Previous Month for Regular Wage/Salaried Employment

Organisation

Time Saved

Granularity

Time Period

Data about personnel in Indian Railways

Organisation

Time Saved

Granularity

Time Period

Year, State, Sphere and dispute type-wise number of industrial disputes, number of workers involved and the mandays lost.

Organisation

Time Saved

Granularity

Time Period

Year, State, Sphere, and dispute-type wise number of industrial disputes, number of workers involved and the mandays lost in Public Sector

Organisation

Time Saved

Granularity

Time Period

All India, Year, Month, Sphere and dispute-type wise causes of industrial disputes, number of workers involved and the mandays lost.

Organisation

Time Saved

Granularity

Time Period

All India, Year, Sector, Sphere, and dispute type-wise number of Industrial disputes, number of workers involved and the mandays lost.

Organisation

Time Saved

Granularity

Time Period

Suicides in India from NCRB: Year-, State- and Gender-wise Number of Suicides by Profession of Victims

Organisation

Time Saved

Granularity

Time Period

Suicides in India from NCRB: Year- and Gender-wise Number of Suicides by Profession of Victims

Organisation

Time Saved

Granularity

Time Period

Year wise Principal Characteristics of Industries

Organisation

Time Saved

Granularity

Time Period

Indian Railways - Master Data: Year-wise Assets, Employees, Transportation, Traffic, Revenue, Expenditure, and Others, since 1950-51

Organisation

Time Saved

Granularity

Time Period