Collections - Dataful

CollectionComprehensive Modular Survey: Education (CMSE) (NSS 80th Round)This collection contains datasets primarily detailing on expenditure-related information incurred by the student households enrolled in school education. Key statistics include the distribution of students enrolled in school education by current enrolment level, the average expenditure per student on school education by current enrolment level, and the average expenditure per reported student on school education by school type, among others.18 datasetsView →

CollectionKey Statistics on Indian Education System from UDISE+This collection contains details about the enrollment by school type, enrolment by education level, enrolment by both school type and education level, number of schools in India by type of management, the strength of teachers by school type and some selected school performance indicators like the drop-out rate, retention rate, and promotion rate.28 datasetsView →

CollectionNational Multidimensional Poverty IndexThe National Multidimensional Poverty Index is key in assessing advancements towards target 1.2 of the Sustainable Development Goals (SDGs) which aims at reducing “at least by half the proportion of men, women and children of all ages living in poverty in all its dimensions” by 2030. NITI Aayog’s Multidimensional Poverty Index (MPI) is based on three dimensions — health, education, and standard of living — with each having a weightage of one-third in the index. These dimensions are further based on 12 segments — nutrition, child and adolescent mortality, maternal health, years of schooling, school attendance, cooking fuel, sanitation, drinking water, electricity, housing, assets, and bank accounts. There are two indices used for arriving at the MPI Value. MPI is the product of the following two indices. Headcount ratio which indicates how many are poor and the intensity of poverty which indicates how poor are the poor. The values are based on the NFHS survey reports.2 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 →

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 →

CollectionPrisoners - Types and Demography from Prison Statistics India Reports, NCRBThis comprehensive collection of datasets, derived from the annual Prison Statistics India (PSI) reports by the National Crime Records Bureau (NCRB), provides a detailed analysis of the socio-demographic and legal landscape of India’s correctional system. The data is systematically categorised to track the composition of the prison population, including convicts, undertrials, detenues held under preventive laws like the NSA and PSA, and other inmates across all major facility types such as Central, District, Sub, Women, Open, and Special Jails, as well as Borstal Schools. Each dataset offers granular year-wise and state-wise insights into the social profile of prisoners, documenting their caste (SC, ST, OBC, and others), religious affiliation (Hindu, Muslim, Christian, Sikh, and others), and educational background ranging from illiterate to post-graduate and technical degree holders. Furthermore, the collection monitors critical metrics such as the domicile status of inmates (local, out-of-state, or foreign nationals), age-group distributions, and the specific circumstances of women prisoners staying with children. By providing both raw numbers and percentage shares at the All-India level, these datasets serve as a vital resource for analysing institutional trends, prison overcrowding, and the representation of marginalised communities within the Indian penal system.56 datasetsView →

CollectionPrisons - Types and Occupancy from Prison Statistics India Reports, NCRBThis collection of datasets, derived from the National Crime Records Bureau (NCRB) Prison Statistics India reports, provides a comprehensive structural analysis of the Indian correctional system’s capacity and workload. It features detailed longitudinal data on jail capacity, inmate population, and occupancy rates, serving as a primary resource for monitoring prison overcrowding and administrative efficiency across the country. The data is meticulously categorized by facility type, including Central, District, Sub, Women, Open, and Special Jails, as well as Borstal Schools, and is further broken down by year, state, and gender.23 datasetsView →

CollectionInfrastructure Data from RBI's Handbook on Indian StatesSince 2016, the Reserve Bank of India (RBI) has published the annual Handbook of Statistics on Indian States, providing a comprehensive time series of socio-economic data. It covers sub-national statistics on demographics, health, state economy, agriculture, environment, prices, wages, industry, infrastructure, banking, and fiscal indicators across Indian states, with data spanning from 1951. This Collection contains datasets on year- and state-wise infrastructure and utility metrics in India, including power availability, installed capacity, electricity losses, ease of doing business rankings, transportation infrastructure (roads, highways, railways), renewable energy capacity, power supply-demand, telephone density, and the availability of computer facilities in schools.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 →