Collections - Dataful

CollectionElectricity Consumption for Agriculture SectorThis collection contains the details about the electricity consumption for agriculture. This is given both at an all India level and state-wise consumption2 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 →

CollectionElectricity Statistics- Power Demand, Capacity, Generation, Availability and Consumption etc.This collection contains the datasets on installed power capacity in states, power generation and demand, per capita power availability and consumption, peak power demand and supply and capacity of different modes of power generation27 datasetsView →

CollectionBharat Heavy Electricals LimitedThis collection contains information about the orders received and the turnover of the Bharat Heavy Electricals Limited2 datasetsView →

CollectionYear, Month and State-wise Electric Vehicles (EV) and Hybrid Vehicles Registered in IndiaThis Collection contains datasets on year, month, state, fuel type, vehicle maker, fuel norms, vehicle category, vehicle category group and vehicle class electric and hybrid vehicles registered in India Note: 1. Fuel Types Considered for Electric Vehicles are Diesel/Hybrid, Electric (Battery Operated Vehicle), Petrol/Hybrid, Plug-in Hybrid EV, Pure EV, Strong Hybrid EV, Fuel Cell Hydrogen are as per https://e-amrit.niti.gov.in/types-of-electric-vehicles 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. 52 datasetsView →

CollectionRTO, Vehicle Maker and Fuel Type-wise Vehicles Registered in Each StateThis Collection contains datasets on year, month, place of RTO, Vehicle Maker and Fuel-type wise Vehicles Registered in all RTOs for each State. Notes: 1. Fuel Type includes Diesel, Petrol, Petrol/Ethanol, Petrol/Hybrid, Electric(Battery Operated Vehicle), Strong Hybrid EV, Diesel/Hybrid, CNG Only, Petrol/CNG, Solar, Petrol/LPG, LPG Only 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 →

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 →

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 →

CollectionSoil Health DataThis collection contains year-, state-, district- and village wise soil health information for each location. It includes key soil parameters such as Nitrogen, Phosphorus, Potassium, Sulphur, Organic Carbon, pH, Electrical Conductivity, Boron, Iron, Zinc, Copper, Manganese, and catchment area. A microwatershed (1:50K) is the smallest fundamental hydrological unit delineated on a 1:50,000 scale map, typically representing drainage areas of small streams or streamlets with a unique national code, while a prioritized microwatershed (1:50K) is that same basic unit evaluated and ranked (e.g., Very High, High, Medium, Low priority) based on factors like soil erosion and sediment yield index to phase conservation work. Notes: Nitrogen (kg/ha) : <280 is Low, 280 to 560 is Medium, >560 is High Phosphorous (kg/ha) : <10 is Low, 10 to 25 is Medium, >25 is High Potassium (kg/ha) : <120 is Low, 120 to 280 is Medium, >280 is High Organic Carbon (percentage) : < 0.5% is Low, 0.5 to 0.75% is Medium, > 0.75% is High Boron (ppm) : < 0.5 is Deficient, > 0.5 is Sufficient Iron (ppm) : < 4.5 is Deficient, > 5.5 is Sufficient Zinc (ppm) : < 0.6 is Deficient, > 0.6 is Sufficient Copper (ppm) : < 0.2 is Deficient, > 0.2 is Sufficient Manganese (ppm) : < 2 is Deficient, > 2 is Sufficient Sulphur (ppm) : < 10 is Deficient, > 10 is Sufficient pH Range:- Strongly acidic : ≤ 4.5 Moderately acidic : > 4.5 – 5.5 Slightly acidic : > 5.5 – 6.5 Normal : > 6.5 – 7.5 Slightly alkaline : > 7.5 – 8.5 Moderately alkaline (sodic) : > 8.5 – 9.5 Strongly alkaline (highly sodic) : > 9.5 Electrical Conductivity (dS/m):- Non saline : 0 – 1.68 Low salinity : 1.68 – 3.36 Mild salinity : 3.36 – 6.72 High salinity : 6.72 – 13.44 Severe salinity : > 13.4433 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 →