Collections - Dataful

CollectionIncidents and Deaths due to Left-Wing Extremism, Terrorism etc.This Collection contains datasets on year and state-wise incidents and deaths due to left-wing extremism, terrorist violence in Jammu and Kashmir and civilians, extremists, security forces killed and incidents in North Eastern States of India3 datasetsView →

CollectionRoad Accidents: Number of Incidents, Persons Injured and Killed by State, Types of Vehicles and Multiple Other CategoriesThe collection contains wide range of year-, state- and city-wise (for some datasets) compiled data on the number of accidents, persons injured and killed in road accidents which have happened in India. The same data is divided by broad range of categories such as accidents, injuries and deaths by gender, age, education level, accident blackspots, types of roads such as national highways, state highways, pucca, kutcha and other types of roads at which have caused accidents, injuries and deaths, types of vehicles which have caused them, types of persons injured and killed such as drivers and other persons, the traffic violations such as over speeding, jumping signal, wrong side driving which have caused accidents, injuries and deaths, the junctions at which accidents, injuries and deaths have taken place, etc. 59 datasetsView →

CollectionCases, Deaths and Incidents Due to StampedeThis Collection contains year, state and gender-wise incidents/cases, deaths and injuries due to stampede in India2 datasetsView →

CollectionJail Breaks, Escapes, & Clashes in Prisons from Prison Statistics India Reports, NCRBThis collection of datasets, derived from the National Crime Records Bureau (NCRB) Prison Statistics India reports, provides a detailed record of prison security incidents and custodial breaches. It tracks the frequency of group clashes and violent conflicts within jails, specifically distinguishing between incidents involving firearms (historically classified as "Firings in Jails") and those occurring without them. The data provides a high-level view of institutional safety by documenting the resulting injuries and deaths of both inmates and jail personnel. Beyond internal violence, the collection monitors the integrity of the correctional system by tracking jail breaks and escapees from both judicial and police custody. It offers granular year-wise and state-wise insights into the number of prisoners who successfully escaped and the subsequent count of those rearrested. Together, these datasets serve as a critical resource for evaluating the effectiveness of prison surveillance, the risks of custodial transit, and the overall security environment of India's penal institutions.8 datasetsView →

CollectionDeaths and Illnesses in Prisons from Prison Statistics India Reports, NCRBThis collection of datasets, sourced from the National Crime Records Bureau (NCRB) Prison Statistics India reports, provides a detailed and sobering analysis of prisoner mortality and health within the Indian correctional system. The data offers a comprehensive classification of deaths, distinguishing between natural deaths (stemming from aging or specific illnesses), unnatural deaths (including suicide, murder by inmates, and negligence), and cases where the cause remains unknown. The collection provides highly granular insights into the medical health of inmates, documenting deaths from chronic and infectious conditions such as heart and lung disease, HIV, TB, cancer, and kidney failure, as well as mental health-related incidents and drug withdrawal. It also tracks accidental deaths caused by both environmental factors (forces of nature) and specific incidents like electrocution, drowning, or falls. Furthermore, the datasets detail the modes of institutional violence, including suicides and murders categorized by method, such as hanging, stabbing, or fighting. Available at both year-wise and state-wise levels, this collection is an indispensable resource for researchers and human rights advocates analysing custodial safety, prison healthcare quality, and the overall physical security of inmates in India.14 datasetsView →

CollectionAccidental Deaths in India - ADSI Reports, NCRBThe Accidental Deaths in India dataset collection from the National Crime Records Bureau (NCRB) provides comprehensive year wise, state wise, city wise, age wise, and gender wise statistics on accidental deaths across India. The collection covers a wide range of causes including road and railway accidents, drowning, fire accidents, explosions, electrocution, poisoning, suffocation, drug overdose, stampedes, animal attacks, sudden deaths such as heart attacks and industrial incidents, deaths due to consumption of illicit liquor, and structural collapses involving houses, buildings, bridges, and dams. It also includes detailed data on deaths caused by forces of nature such as floods, cyclones, earthquakes, landslides, lightning, heat or sun stroke, cold exposure, avalanches, epidemics, forest fires, and torrential rains, along with information on place of occurrence including residential buildings, factories, vehicles, trains, mines, schools, and commercial establishments. The datasets report number of cases, persons injured and died, incidence, and rates of accidental deaths, enabling in depth analysis of accidental mortality patterns, risk factors, and public safety trends in India.18 datasetsView →

CollectionUnified Payments Interface (UPI) Transaction StatisticsComprehensive year-, month-, day-, bank-, state-, district-, merchant-, and application-wise statistics on UPI and other NPCI digital payment transactions, covering transaction volume and value, P2P/P2M payments, AutoPay, IPO mandates, PSP transactions, top-performing banks, payment applications, BHIM UPI, and UPI service availability and downtime incidents.26 datasetsView →

CollectionUN Peacekeeping - Fatalities and FundingThe collection contains Datasets related to Fatalities and Member State-wise Funding in UN Peace Keeping Missions. The datasets contain details of fatalities by – Year wise, Nation wise, Incident wise and Appointment type wise. The information is collated from the data provided on UN Peacekeeping. This is for the period starting from 1948 to the latest update. 6 datasetsView →

CollectionSedition and UAPA CasesThe collection contains comprehensive information on the incidence and status of the cases related to sedition. The data includes the number of cases booked under IPC Section 124 A and UAPA since 2014. The status of the cases under trial with the police and the courts is part of this collection. 4 datasetsView →

CollectionHuman Rights Cases StatisticsThis Collection contains year, month and nature of incidence wise cases registered, disposed, pending and monetary relief recommended by National Human Right Commission (NHRC)3 datasetsView →

CollectionNCRB Crime in India-Violent CrimesThe Violent Crimes dataset collection provides comprehensive statistical information on serious offences involving physical violence and threat to life recorded in India. Compiled from National Crime Records Bureau data, the collection covers year wise, state wise, city wise, and crime head wise counts of violent crimes registered under the Indian Penal Code. The datasets include major categories such as murder (Sec.302 IPC), culpable homicide not amounting to murder (Sec.304 IPC), attempt to commit murder (Sec.307 IPC), attempt to commit culpable homicide (Sec.308 IPC), grievous hurt (Sec.325, 326, 326A and 326B IPC), kidnapping and abduction (Sec.363–369 IPC), rape (Sec.376 IPC), attempt to commit rape (Sec.376 read with Sec.511 IPC), dowry deaths (Sec.304B IPC), infanticide (Sec.315 IPC), foeticide (Sec.316 IPC), rioting (Sec.147–151 and 153A IPC), robbery (Sec.392–394 IPC), dacoity (Sec.395–398 IPC), and arson (Sec.435–438 IPC). The collection also includes total violent crimes aggregates, enabling analysis of overall trends, regional distribution, and changes in the incidence of violent offences over time. By combining spatial granularity with offence-level classification, these datasets support research, policy analysis, law enforcement planning, and public understanding of the scale and nature of violent crime across India.6 datasetsView →