Collections - Dataful

CollectionNCRB - Crimes Against Scheduled CasteThe Crimes Against Scheduled Castes collection, based on data from the National Crime Records Bureau, provides comprehensive statistics on offences committed against Scheduled Castes in India across multiple dimensions such as year, state, and crime head, along with detailed information on police investigation and court disposal outcomes. The datasets cover a wide range of offences recorded under the Indian Penal Code, the SC/ST (Prevention of Atrocities) Act, and the Protection of Civil Rights Act, 1955, including serious crimes such as murder, attempt to murder, rape, attempt to rape, kidnapping and abduction, grievous hurt, simple hurt, criminal intimidation, rioting, robbery, dacoity, arson, and other forms of violence and discrimination. They also include specific atrocities such as land dispossession, social boycott, denial of access to public places, and offences against women including sexual harassment, stalking, voyeurism, disrobing, and insult to modesty. The collection further provides detailed insights into the criminal justice process through police disposal data, including cases reported, chargesheets submitted, chargesheeting rate, cases closed as false or due to lack of evidence, cases pending investigation, and other investigation outcomes, as well as court disposal data such as cases sent for trial, convictions, acquittals, discharges, cases compounded or withdrawn, pendency, and conviction rates.16 datasetsView →

CollectionNCRB Crime in India-Violent Crimes (Kidnapping and Abduction)The Violent Crimes – Kidnapping and Abduction collection provides detailed statistical coverage of kidnapping and abduction cases reported in India, as recorded by the National Crime Records Bureau. The collection includes datasets on cases reported, chargesheeting rate, and crime rate, along with extensive information on victim demographics, recovery status, and underlying purposes of kidnapping and abduction. Data is available at year wise, state wise, city wise, and metropolitan city levels, enabling granular regional analysis. The collection captures victim details classified by victim type child or adult, age group, and gender, and recovery outcomes such as persons recovered alive, persons recovered dead, unrecovered victims from previous years, unrecovered kidnapped and abducted persons, total recovered, and percentage recovery. It also documents the purpose of kidnapping and abduction, including ransom, murder, marriage, illicit intercourse, prostitution, begging, adoption, domestic servitude, forced labour or slavery, sale or selling of body parts, revenge, family disputes, property or civil disputes, unlawful activities, recovery of loans, wrongful confinement, camel racing, and other motives. Collectively, these datasets offer a comprehensive picture of patterns, motivations, victim vulnerability, and recovery outcomes in kidnapping and abduction crimes, making the collection valuable for research, policy formulation, and monitoring child and adult safety in India.13 datasetsView →

CollectionStatistics on Examinations conducted by Union Public Service Commission (UPSC)The collection contains details of candidates at different stages of various examinations conducted by UPSC such as Civil Services Examination, Indian Forests Services Examination, and Engineering Services Examinations. It also contains some statistics on attempts taken by candidates to qualify in civil services examinations, subjects chosen, optional language opted, vacancies, and recruitment.31 datasetsView →

CollectionDistrict Court Caseload: Pending, Disposed Cases and Delay ReasonsThis collection compiles district-level data from the District Courts across states, as reported on the National Judicial Data Grid (NJDG), offering a comprehensive view of civil and criminal caseloads. It includes datasets on pending and disposed cases, categorized by procedural stage, year of institution, disposal period, case type, and nature of disposal. 33 datasetsView →

CollectionSupreme Court Caseload: Pending and Disposed CasesThis collection compiles data from the National Judiciary Data Grid regarding the caseload in the Supreme Court of India. It provides a comprehensive overview of civil and criminal caseloads. It includes datasets on both pending and disposed cases, categorized by case status, year of institution or disposal, case type (e.g., SLP, WP, TP), and case category (civil or criminal). 8 datasetsView →

CollectionDemographics: Data of Registered and Medically Certified Deaths from MCCDThe collection contains year-, state-, region-, gender- and age-group-wise data on registered and medically certified deaths, together with share of groups of diseases in the medically certified deaths. The datasets are compiled from Medical Certification of Cause of Death (MCCD) annual reports which contain registered deaths and other data obtained through the Civil Registration System (CRS) under the Registration of Births and Deaths Act, 196911 datasetsView →

CollectionDemographics: Birth and Death Registrations, as per CRSThe collection contains year-, state-, region-, age-group and gender-wise data on registered births and deaths registered under the Registration of Births and Deaths Act, 1969. The types of births and deaths data includes still births, infant deaths, etc. The datasets are compiled from Civil Registration System (CRS) annual reports.15 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 →

CollectionDebt Securities and Mutual Fund Market StatisticsThis collection provides a comprehensive statistical overview of debt instruments and investment flows across the financial sector. By consolidating data on Municipal Bonds, Non-Convertible Debentures (NCDs), Corporate Bonds, and Securitized Debt Instruments, the collection tracks the lifecycle of these markets from issuance and private placements to redemptions and outstanding volumes. It also integrates key Mutual Fund activity statistics, including funds mobilized and total assets under management (AUM) categorized by investment objectives. Together, these datasets offer granular insights into the participation of financial and non-financial corporations, helping analyze liquidity trends, credit market conditions, fundraising activity, and institutional investment patterns. Municipal Bonds are debt securities issued by municipal corporations or local government bodies to finance public infrastructure projects such as roads, water supply systems, and urban development. These bonds typically provide investors with periodic interest payments and repayment of principal at maturity, while enabling municipalities to raise long-term capital for civic projects. Corporate Bonds are debt instruments issued by companies to raise funds for business expansion, operations, refinancing, or capital expenditure. Investors lend money to the corporation in exchange for fixed or variable interest payments over a specified tenure, with repayment of principal upon maturity. Securitized Instruments are financial securities created by pooling underlying assets such as loans, receivables, or mortgages and converting them into tradable investment products. These instruments help institutions improve liquidity and allow investors to participate in diversified income-generating asset pools. A Public Issue refers to the offering of bonds or debt securities to the general public through regulated market mechanisms, enabling broad investor participation. In contrast, a Private Placement involves the sale of bonds directly to a select group of institutional or qualified investors without a public offering, often allowing faster fundraising with customized terms. Financial Corporations are institutions primarily engaged in financial intermediation and related services, such as banks, insurance companies, mutual funds, non-banking financial companies (NBFCs), and other investment entities. These organizations raise, manage, lend, or invest capital within the financial system. Non-Financial Corporations are companies whose primary business activities involve the production of goods or delivery of non-financial services, including sectors such as manufacturing, infrastructure, technology, energy, telecommunications, and retail. These corporations participate in debt markets mainly to raise capital for business operations, expansion, and long-term investments.9 datasetsView →