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
All
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

Datasets

Year and Country-wise Funds Collected Under Indian Community Welfare Fund (ICWF)

Exclusive

Organisation

Ministry of External Affairs

Time Saved

6 hours

Granularity

Year, Country

Time Period

2009 to 2016 and 2018 to 2022

Dataset Info

NSS Round No. 78: State- and Region-wise Average Floor Area and Number of Rooms in a House or Flat Constructed or Purchased for the First Time after 31.03.2014

Exclusive

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

4 hours

Granularity

Yearly, State

Time Period

2020-21

Dataset Info

NSS Round No. 78: State-and Region-wise Percentage Distribution of Financial Institutions and Sources from which Maximum Finance was taken for New House or Flat

Exclusive

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

4 hours

Granularity

Yearly, State

Time Period

2020-21

Dataset Info

NSS Round No. 78: State- and Region-wise Percentage of Households who have Purchased or Constructed a New House or Flat for First Time and Before, after 31.03.2014

Exclusive

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

4 hours

Granularity

Yearly, State

Time Period

2020-21

Dataset Info

BRSR_GD: Year- and Company-wise Main Business Activities, Products and Services, and Their Contribution to Revenue

Exclusive

Organisation

Securities and Exchange Board of India

Time Saved

6 hours

Granularity

All India, Year, Business Activity, Sector, CIN Number

Time Period

2020-21 to 2025-26

Dataset Info

NSS Round No. 78: State-, Region- and Gender-wise Percentage of Persons of Age 5 years and below with Registration for Birth Certificates

Exclusive

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

4 hours

Granularity

Yearly, State

Time Period

2020-21

Dataset Info

Collections

No Image

Releases, Transfers and Movements of Prisioners from Prison Statistics India Reports, NCRB

This collection of datasets, derived from the National Crime Records Bureau (NCRB) Prison Statistics India reports, provides a detailed look at the systemic flow of inmates through the Indian penal system. It specifically monitors prisoner releases and transfers, tracking the annual exit of convicts, undertrials, and detenues through various legal channels such as bail, acquittal, appeal, and completion of sentences. The data also captures critical operational and humanitarian metrics, including the physical movement of inmates outside prison premises for court and medical visits, the status of long-term undertrials under Section 436A of the CrPC, and the prevalence of mental illness among the incarcerated. Additionally, it provides specific insights into the management of parole, documenting the rates of release, absconding, and subsequent arrests. Together, these datasets offer a vital empirical foundation for analysing judicial efficiency, prisoner welfare, and the overall rehabilitative capacity of India's correctional framework.

No Image

National Apprenticeship Promotion Scheme

This collection contains information about the National Apprenticeship Promotion Scheme, including its budget, apprentices trained,and the progress of the scheme.

No Image

Company-wise Life and Non-Life Insurance Policies Statistics

This Collection contains datasets on Year, Month and Insurance Company-wise Total Premium Amount, Number of Policies/Schemes, Number of Lives Covered and their Market Share