Dataful Logo
search Logohamberger Logo
cross
DatasetsHFIs
Categoriesdown
Collectionschevron

Popular collections

See all collections
CatalogsSectors
Pricing
AI Productsdown
GopieTagore AICSR Insights
InsightsAnalysts PackFree Course
Sign in
Dataful Logo
DatasetsHFIs
Categoriesdown
Collectionschevron

Popular collections

See all collections
CatalogsSectors
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

© 2014-2025 Factly Media & Research. All rights reserved.

Filters

Clear All

Filter can only be applied on Datasets

Type
Organisation
Sector
Frequency

Tagore AIAI Results

AI-powered search results tailored to your query

Tagore AIContinue AI Search
  • PLFS: Year, Region, Gender, and Religion wise Labour Force Participation Rates
  • PLFS: Year, Educational Qualification, Region, and Gender wise Unemployment Rate

Search results for "PLFS" : 110 datasets

Datasets

Area, Gender and Sector wise Employment Situation in India by Broad Groups of Industry for Various Rounds of PLFS and NSS

Organisation

Reserve Bank of India

Time Saved

4.5 hours

Granularity

Gender, Sector

Time Period

1983 to 2023

Dataset Info

Year, Gender, Region, and Age group wise Literacy Rates in India as reported in Census, PLFS, NSS, NFHS, and MoSPI

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

6 hours

Granularity

Year, Region

Time Period

1951, 1961, 1971, 1981, 1991, 2001, 2003, 2004 to 2007, 2005-06, 2007-08, 2010, 2011, 2011-12, 2014, 2015-16, 2019-21, 2017-18 to 2023-24

Dataset Info

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

CSR Insights is an AI-powered platform that helps you instantly explore and analyse CSR data from thousands of companies across India. Chat with the data to uncover trends, compare spending across sectors, and gain actionable insights. Powered by GoPie, with data from Dataful, both products of Factly.
New
Banner Image

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, State and Gender wise Distribution of Workers by Broad Status in Employment according to Current Weekly 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, State and Gender wise Distribution of Workers by Broad Status in Employment 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, Quarter, Region, Gender, and State wise Average Wage Earnings per day from casual labour work other than public works in CWS

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 Distribution of Persons Engaged in Non-Agriculture by Enterprise Type

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 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

Year, Region, Gender, and State wise Worker Population Ratio by Highest Education Level

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 current weekly 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 Unemployment Rate according to current weekly 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
  • 1
  • 2
  • 3
  • 4
  • 5
  • …
  • 10