Dataful Logo
search Logohamberger Logo
cross
DatasetsHFIs
Categoriesdown
Collectionschevron

Popular collections

See all collections
District DataSectors
Pricing
AI Productsdown
GopieTagore AICSR Insights
InsightsQuizMentions
Sign in
Dataful Logo
DatasetsHFIs
Categoriesdown
Collectionschevron

Popular collections

See all collections
District DataSectors
Pricing
AI Productsdown
GopieTagore AICSR Insights
InsightsQuizMentions
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

© 2014-2026 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
  • BRSR_P3: Year- and Company-wise Employee and Worker Safety Incidents (Deaths, Injuries, and Other Events)
  • BRSR_P3: Year and Company-wise Complaints on Working Conditions and Health & Safety, and Assessment Coverage

Search results for "Weekly Status" : 187 datasets

Datasets

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, 2025

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, 2025

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

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, 2025

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, 2025

Dataset Info

PLFS: Year, Region, Gender and Quarter wise Average gross earnings during the last 30 days from self-employment work

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

5.5 hours

Granularity

Quarterly

Time Period

2017-18 to 2023-24, 2022 to 2025

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, 2025

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, 2022 to 2025

Dataset Info

Year, Region, Gender, and State wise Labour Force Participation 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, 2025

Dataset Info

PLFS: Year, Region, Gender, and Status 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, 2022 to 2025

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, 2025

Dataset Info

Year wise Cent chroman(Weekly) Pills distribution statistics

Organisation

Health Management Information System

Time Saved

4 hours

Granularity

Yearly, State

Time Period

2017-18 to 2019-20

Dataset Info

Water Storage: Year-, Region- and State-wise Weekly Change in Storage Level of Reservoirs

HFI

Organisation

Ministry of Jal Shakti

Time Saved

6 hours

Granularity

Year, Week, Region, State

Time Period

2019 to 2026

Dataset Info
  • 1
  • 2
  • 3
  • 4
  • 5
  • …
  • 16