Collections - Dataful

CollectionTraffic Accidents and Deaths - ADSI Reports, NCRBThe collection contains year-, state-, region-, city-, and gender-wise comprehensive datasets on road and railway traffic accidents and deaths in India, with the categorization of time and location of accidents, causes, types of roads and vehicles involved, and other relevant factors.25 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 →

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 →

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 →

CollectionState and Organ-wise Organ Donations/TransplantationsThis Dataset contains year, state and organ wise (liver, kidney, pancreas, heart and small bowel) organ donations or transplantations in India3 datasetsView →

CollectionState and Central Governments Liabilities - Outstanding Debt, Loans, Guarantees, Borrowings, etc.The collection contains historically compiled on the total central and state governments outstanding financial debts, liabilities, guarantees, borrowings 2 datasetsView →

CollectionState, District and Season-wise Area, Production and Yield Statistics for each CropThis Collection contains datasets on Year, State, District and Crop wise Area, Production and Yield Statistics for each crop55 datasetsView →

CollectionState and District wise Pensioners and Amount Disbursed under Indira Gandhi National Disability, Old Age and Widow Pension SchemesThis collection contains datasets on year, month, state and district wise total number of old age, widow and disabled pensioners and the total amount disbursed under Indira Gandhi National Disability (IGNDPS), Old Age (IGNOAPS) and Widow Pension (IGNWPS) Acts and National Family Benefit Scheme (NFBS)2 datasetsView →

CollectionState, District and Commodity/Goods wise ExportsThis Collection contains datasets on year, state and district wise total value of exports of goods/commodities37 datasetsView →