Collections - Dataful

CollectionEnvironment and Climate Change, Coastal ErosionThis Collection contains datasets on state and district-wise coastal area under types of Erosion, Accretion and Stable between 1980 to 20166 datasetsView →

CollectionEnvironment and Climate ChangeThis Collection contains datasets on topics related to Heatwaves, Forest Cover, Wildlife Sanctuaries, National Park, UNFCC, Temperature, Air Quality, Rivers etc.113 datasetsView →

CollectionForest Survey of IndiaThe biennial Indian State of Forests Reports is carried out by the Forest Survey of India (FSI) under the Ministry of Environment, Forests, and Climate Change using satellite data. It gives important statistical information pertaining to forest cover, forest area, and other database of forest resources.2 datasetsView →

CollectionComprehensive Environmental Pollution Index (CEPI)This Collection contains Year, State and Industrial Area-wie Comprehensive Environmental Pollution Index (CEPI) along-with status of environment of Industrial Areas/Clusters Comprehensive Environmental Pollution Index (CEPI) which ranges between 0-100 and captures overall quality of the environment covering ambient air, surface water and land by following algorithm of pollution sources, pathways and receptors. CEPI aims to measure the environmental performance of industrial area/clusters. The industrial clusters having aggregated CEPI score of 70 and above are considered as critically polluted areas (CPAs), whereas the areas having CEPI score between 60-70 are considered as severely polluted areas (SPAs) and areas having CEPI score less than 60 are considered as other polluted areas (OPAs).2 datasetsView →

CollectionBanking 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 1951 to 2024. This Collection contains datasets on year and state-wise information on various financial metrics related to Scheduled Commercial Banks and Regional Rural Banks in India. It includes data on credit to agriculture, industry, and personal loans; credit-deposit ratios by place of sanction and utilization; deposits; and the distribution of bank offices and branches.12 datasetsView →

CollectionHuman-Wildlife ConflictsThe collection includes data on the number of human deaths due to animal attacks. This includes deaths due to flagship wildlife species of tigers and elephants, cases and deaths due to snake bites, and dog bite cases. While deaths due to elephants and tigers are recorded by the Environment Ministry, the cases of dog and snake attacks are reported by the Health Ministry.5 datasetsView →

CollectionNGO Data from DarpanThe collection contains historically compiled master data on the Non-Governmental Organizations (NGOs), as disclosed on the website of NGO-Darpan The specifics of data contained in the datasets include Year- and District-wise names of NGOs registered in India, along with details such as their Registration Number, including Foreign Contribution Regulation Act (FCRA) registration number, the names of places in which they are registered and operating, the funding sources, along with names of the funding agencies, the different fields in which the NGOs are working, etc. The different fields of NGOs work covered in the dataset include Animal Husbandry - Dairying and Fisheries, Children, Civic Issues, Dalit Upliftment, Disaster Management, Drinking Water, Education and Literacy, serving Aged/Elderly, Environment, Health, Family Welfare, Human Rights, Land and Labour, Minority Issues, Nutrition, Prisoner's Issues, Right to Information and Advocacy, Tribal Affairs, etc. Notes: 1. The NGO-DARPAN started out as an initiative of the Prime Minister's Office, to create and promote a healthy partnership between VOs/NGOs and the Government of India. The Portal is managed at present by NITI Aayog 2. The information provided on the Darpan portal is based on the information which is voluntarily disclosed by the NGOs on the same portal. Therefore, the NGO data provided on the same portal and the datasets is not based on survey, verification, compilation and disclosed by the government, but the information voluntarily disclosed on the website. 3. The names of NGOs and the funding sources in the Raw Data are voluminous in number. Hence, they are provided as they are given in the Raw Data, since it is not possible to standardize them.38 datasetsView →

CollectionIndustries 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 insights into industrial and economic metrics in India, including the number of factories, investments, capital formation, value addition, employment, and production in medium and small-scale industries. It also covers details on working capital, physical capital, emoluments, input-output values, and total persons engaged.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 →

CollectionData from RBI's Handbook of Statistics 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 1951113 datasetsView →

CollectionHealth 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 health-related metrics in India, including anemia among children (6–59 months) and pregnant women (15–49 years), health infrastructure such as doctors, specialists, and government hospitals, and public expenditure on health.5 datasetsView →

CollectionStatus of implementation of Pradhan Mantri Ujjwala Yojana (PMUY)Pradhan Mantri Ujjwala Yojana is a flagship scheme with an objective to make clean cooking fuel such as LPG available to the rural and deprived households which otherwise used traditional cooking fuels such as firewood, coal, cow-dung cakes etc. which had detrimental impacts on the health of rural women and the environment. In this collection, data pertaining to parameters related to the implementation of the scheme such as coverage, refills, fund utilization, etc is presented.7 datasetsView →