Collections - Dataful

CollectionVB-G RAM G/MNREGA: Number of Gram Panchayats with Nil Persondays and Unspent Balance RatioThe collection contains year-, month-, state-, district-, and block-wise Mahatma Gandhi National Rural Employment Guarantee Scheme (MNREGA) data on the number of gram panchayats with zero persondays and number of gram panchayats with unspent balance ratios, categorized by panchayats with a balance of zero or less, greater than zero but less than or equal to one, greater than zero but less than or equal to five Note: The Viksit Bharat - Guarantee for Rozgar and Ajeevika Mission (Gramin) Act, 2025 (VB-G RAM G) came into force on July 1, 2026, officially replacing the old MGNREGA framework.15 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 →

CollectionVehicle Maker/Manufacture and Vehicle Class Type wise Vehicles registered in each StateThis Collection contains datasets year, month, state, rto, vehicle manufacturer, vehicle class type and vehicle class wise vehicles registered in India. It includes Adapted Vehicle, Armoured/Specialised Vehicle, Agricultural Tractor, Harvester, Power Tiller, Power Tiller (Commercial), Puller Tractor, Tractor (Commercial), Tractor-Trolley(Commercial), Trailer (Agricultural), Articulated Vehicle, Breakdown Van, Goods Carrier, Quadricycle (Commercial), Quadricycle (Private), Recovery Vehicle, Semi-Trailer (Commercial), Tow Truck, Ambulance, Animal Ambulance, Fire Fighting Vehicle, Fire Tenders, Mobile Clinic, X-Ray Van, Bulldozer, Construction Equipment Vehicle, Construction Equipment Vehicle (Commercial), Crane Mounted Vehicle, Dumper, Earth Moving Equipment, Excavator (Commercial), Excavator (NT), Fork Lift, Road Roller, Snorked Ladders, Tower Wagon, Luxury Cab, Maxi Cab, Motor Cab, Motor Car, Private Service Vehicle, Private Service Vehicle (Individual Use), Vintage Motor Vehicle, Bus, Educational Institution Bus, Omni Bus, Omni Bus (Private Use), School Bus, Camper Van / Trailer, Camper Van / Trailer (Private Use), Motor Caravan, Cash Van, Hearses, Library Van, Mobile Canteen, Mobile Workshop, Tree Trimming Vehicle, Auxiliary Trailer, Modular Hydraulic Trailer, Trailer (Commercial), Trailer For Personal Use, e-Rickshaw with Cart (G), e-Rickshaw(P), M-Cycle/Scooter, M-Cycle/Scooter-With Side Car, Moped, Motor Cycle/Scooter-SideCar(T), Motor Cycle/Scooter-Used For Hire, Motor Cycle/Scooter-With Trailer, Motorised Cycle (CC > 25cc), Three Wheeler (Goods), Three Wheeler (Passenger), Three Wheeler (Personal), Vehicle Fitted With Compressor, Vehicle Fitted With Generator, Vehicle Fitted With Rig 11 datasetsView →

CollectionRTO, Vehicle Maker (Manufacturer) and Vehicle Class-wise Vehicles Registered in Each StateThis Collection contains datasets on year, month, vehicle maker and vehicle class wise vehicles registered in all RTOs for each state Note: 1. Below are the vehicle classes as per MoRTH Adapted Vehicle, Agricultural Tractor, Ambulance, Armoured/Specialised Vehicle, Breakdown Van, Bulldozer, Camper Van / Trailer, Cash Van, Construction Equipment Vehicle, Crane Mounted Vehicle, Dumper, e-Rickshaw(P), Earth Moving Equipment, Educational Institution Bus, Excavator Commercial), Excavator (NT), Fire Fighting Vehicle, Fork Lift, Goods Carrier, Harvester, Hearses, Library Van, Luxury Cab, M-Cycle/Scooter, Maxi Cab, Mobile Canteen, Mobile Clinic, Mobile Workshop, Moped, Motor Car, Motorised Cycle, Omni Bus, Power Tiller, Private Service Vehicle, Recovery Vehicle, Road Roller, School Bus, Semi-Trailer (Commercial), Three Wheeler (Goods), Tow Truck, Tower Wagon, Tractor, Trailer, Tree Trimming Vehicle 2. The data is sourced from the Vahan Portal and reflects the last update done by us. Data is updated/refreshed once every month. Any mismatches are due to frequent updates on the Vahan dashboard. 3. For datasets with year-wise data, the data of the previous years is as of 31 December of that year whereas the data of the current year is as of date. 36 datasetsView →

CollectionIndian Students Studying in USAThe collection contains Academic-year-wise historically compiled data from the year 1949-50 on the Number of Indian Students who are enrolled in different educational institutes of United States of America (USA) for pursuing Post Graduate, Graduate, Non-degree and other programmes of study in courses such as Business/ Management, Engineering, Fine/ Applied Arts, Health Professions, Humanities, Intensive English, Math/ Computer Science, Physical/ Life Sciences, Social Sciences, etc.5 datasetsView →

CollectionLives lost due to Natural DisastersNatural disasters claim lives every year. This Collection contains datasets in live lost due to natural disaster like Avalanche, Cyclone Earthquake, Epidemic, Exposure to Cold Waves, Heat Waves, Flood, Forest Fire, Heat or Sun Stroke, Landslide, Lightning, Tornado, Torrential Rain, Tsunami, Starvation or Thirst caused by calamities, Hail or Sleet, Sunny or Clear, Rainy, Foggy or Misty, Cloudy, Snowfall, Dust Storm, Snow, Strong Wind, Light or Heavy Rain, Flooding of Slipways/Rivulets etc.2 datasetsView →

CollectionInternational Students Studying in USA (Open Doors Report)The collection contains historically compiled data from the year 1949-50 on International Students enrolled in different educational institutions of United States of America (USA). The specifics of data contained in the collection include Academic-year-wise number of international students who are enrolled in USA by different regions and countries, for different programmes and fields of study such as post graduate, graduate, non-degree, and others in courses such as Business/ Management, Engineering, Fine/ Applied Arts, Health Professions, Humanities, Intensive English, Math/ Computer Science, Physical/ Life Sciences, Social Sciences, etc. In addition, the collection contains data on academic-year-wise number of USA students enrollments within USA15 datasetsView →

CollectionImmovable Property Returns of IAS and IPS OfficersThis collection contains datasets related to batch and cadre-wise-wise list of IAS and IPS Officers who have filed and not-filed their Immovable Property Return (IPR) Note: 1. The Government servants are required to file annual Immovable Property Return (IPR), under Rule 18(1)(ii) of the CCS (Conduct) Rules, 1964, with full particulars of their immovable property, such as inherited or held on lease or mortgage, either in their own name or in the name of any member of their family or in the name of any member of their family or in the name of any other person. 2. statement_date: This is the annual reference date. As per Rule 16(2) of All India Services (Conduct) Rules, 1968, every member of the service shall submit his/her Immovable Property Return (IPRs) in the prescribed form by 31st January of every year in respect of the previous year ending 31st December. 3. submission_date: This refers to the specific day the officer filed their return. If this field is empty, it indicates that while the officer did submit their IPR, the specific submission date was either not captured by the system or was unavailable in the source records.4 datasetsView →

CollectionSentences and Incarceration of Prisoners from Prison Statistics India Reports, NCRBThis collection of datasets from the NCRB Prison Statistics India reports provides a comprehensive analysis of sentencing trends and the duration of confinement for both convicts and undertrials. For convicted prisoners, the data tracks judicial outcomes ranging from capital punishment and life imprisonment to shorter terms (from under 6 months to 13 years), including the execution of death sentences and the percentage share of each sentence category. A critical subset highlights the "fine-default" crisis, documenting convicts who remain incarcerated for periods of under 6 months to over 5 years solely due to the non-payment of court-ordered fines. For undertrial prisoners, the collection monitors the length of pre-trial detention across intervals from under 3 months to over 5 years. Available at both national and state levels in absolute numbers and percentage shares, these datasets are essential for identifying judicial delays and assessing the efficiency of the Indian criminal justice system. Together, they offer a transparent look at how sentencing severity and legal bottlenecks contribute to the long-term occupancy of India’s correctional facilities.12 datasetsView →

CollectionMaster Collection: Agriculture Census (1995-96, 2000-01, 2005-06, 2010-11, 2015-16)This Collection contains datasets related to State-wise Farm Holdings by Size Class and Social Group all Five Agricultural Census conducted so far5 datasetsView →

CollectionFire Accidents in India: Yearly Breakdown by Location, State, Cause, Gender, Injuries, and FatalitiesThis collection contains datasets related to fire accidents in India.It includes an annual breakdown of fire accident cases, injuries, and fatalities at the national level. Additionally, the datasets provide detailed information on the location-specific data on fire accidents, injuries, and fatalities, both at the national and state level.4 datasetsView →