Collections - Dataful

CollectionNon-Government Non-Financial Public Limited Companies Statistics of Corporate Sector from DBIEThis collection contains datasets related to Non-Government Non-Financial Public Limited Companies Statistics of Corporate Sector from the RBI's Database on the Indian Economy.1 datasetsView →

CollectionNon-Government Non-Banking Financial and Investment Companies Statistics of Corporate Sector from DBIEThis collection contains datasets related to Non-Government Non-Banking Financial and Investment Companies Statistics of Corporate Sector from RBI's Database on Indian Economy.7 datasetsView →

CollectionNon-Performing Assets (NPAs), Write-Offs and RecoveryThis collection contains datasets related to Bank-group, Bank, and sector-wise new accretion to Non-Performing Assets (NPAs) from standard advances, Actual Recoveries, Write-offs, Gross and Net NPAs, Gross Advances, and Gross NPA ratio, as well as Fiscal Year and Bank Group-Wise Gross, Net NPAs and Recovery of NPAs of Scheduled Commercial Banks through various channels like Lok Adalats, Debt Recovery Tribunals (DRTs), and the SARFAESI Act, as of 31 March of a financial year.6 datasetsView →

CollectionListed Non-Government Non-Financial Companies Statistics of Corporate Sector from DBIEThis collection contains datasets related to Listed Non-Government Non-Financial Companies Statistics of Corporate Sector from RBI's Database on Indian Economy.20 datasetsView →

CollectionCompany-wise Life and Non-Life Insurance Policies StatisticsThis Collection contains datasets on Year, Month and Insurance Company-wise Total Premium Amount, Number of Policies/Schemes, Number of Lives Covered and their Market Share4 datasetsView →

CollectionIndians in USA- Students, Non-Immigrant Visas, Apprehensions and Hate CrimesThis Collection contains datasets on year-wise Indian Students Studying in USA, Non-Immigrant Visas to Indians by USA and Indians apprehended in US Border Sector6 datasetsView →

CollectionIndians in USA- Students, Non-Immigrant Visas, Apprehensions and Hate CrimesThis Collection contains datasets on year-wise Indian Students Studying in USA, Non-Immigrant Visas to Indians by USA, Indians apprehended in US Border Sector and Hate Crimes bias closely linked to Indians and People Removed (Deported) from US10 datasetsView →

CollectionFinancial Performance of Non-Government Non-Financial Private and Public Limited CompaniesThis Collection has datasets related to Non-Government Non-Financial Public Limited Companies and Private Limited Companies that are presented at an aggregate level and available for select industry groups. Also, data relating to Non-Government Financial and Investment Companies are presented at aggregate level for major activity groups. Annual data on different financial ratios, viz. Capital Structure Ratios, Liquidity Ratios, Assets Utilization and Turnover Ratios of Select Public Limited Companies (Industry-wise) are available from March 2000 onwards. The main sources for the corporate sector statistics are the Annual Reports and Accounts of the Companies i.e. Balance Sheet, Manufacturing, Trading and Profit and Loss Accounts.24 datasetsView →

CollectionFinancial Sector Statistics for Non-Banking Financial Companies from DBIEThis collection contains datasets related to Financial Sector Statistics for Non-Banking Financial Companies from RBI's Database on Indian Economy.2 datasetsView →

CollectionDGCA: Traffic and Operating Statistics of Non Scheduled OperatorsThe collection contains datasets on the operating and traffic statistics of non-scheduled operators, including helicopters, charter flights, hot air balloons, and aircraft operated by holders of Non-Scheduled Operator Permits (NSOPs) across both domestic and international routes. The datasets cover key operational parameters such as aircraft hours flown, passengers carried, cargo transported, kilometres flown, and other related performance indicators.13 datasetsView →

CollectionElectrical Accidents: Human-Animal Fatalities and Non-FatalitiesThis Collection contains datasets on Year and State wise Human-Animal Fatal and Non-Fatal Electrical Accidents at Generating, Transmission, Distribution Stations, Industrial and Non-Industrial Installations of Consumers owned by Government, Semi Government, Local Bodies, Private Companies and Total Number of Individuals Affected3 datasetsView →

CollectionNGO Data from DarpanThe collection contains historically compiled master data on the Non-Governmental Organizations (NGOs), as disclosed on the website of NGO-Darpan The specifics of data contained in the datasets include Year- and District-wise names of NGOs registered in India, along with details such as their Registration Number, including Foreign Contribution Regulation Act (FCRA) registration number, the names of places in which they are registered and operating, the funding sources, along with names of the funding agencies, the different fields in which the NGOs are working, etc. The different fields of NGOs work covered in the dataset include Animal Husbandry - Dairying and Fisheries, Children, Civic Issues, Dalit Upliftment, Disaster Management, Drinking Water, Education and Literacy, serving Aged/Elderly, Environment, Health, Family Welfare, Human Rights, Land and Labour, Minority Issues, Nutrition, Prisoner's Issues, Right to Information and Advocacy, Tribal Affairs, etc. Notes: 1. The NGO-DARPAN started out as an initiative of the Prime Minister's Office, to create and promote a healthy partnership between VOs/NGOs and the Government of India. The Portal is managed at present by NITI Aayog 2. The information provided on the Darpan portal is based on the information which is voluntarily disclosed by the NGOs on the same portal. Therefore, the NGO data provided on the same portal and the datasets is not based on survey, verification, compilation and disclosed by the government, but the information voluntarily disclosed on the website. 3. The names of NGOs and the funding sources in the Raw Data are voluminous in number. Hence, they are provided as they are given in the Raw Data, since it is not possible to standardize them.38 datasetsView →