Collections - Dataful

CollectionTextile-related Production, Trade, Consumption, and Stock StatisticsThis collection consists of datasets on export and import of silk, jute, and cotton goods, domestic consumption and production of jute items, supply distribution of raw jute, and principal commodity-wise textile trade, offering a comprehensive view of India’s textile sector performance.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 →

CollectionEthanol Blending and Procurement StatisticsThis collection of datasets provides a comprehensive overview of India's ethanol sector and the Ethanol Blended Petrol (EBP) programme. It includes detailed year-wise and state-wise statistics on ethanol procurement by Public Sector OMCs, overall blending percentages, and company-specific blending data. Additionally, the collection covers ex-mill ethanol prices categorized by raw material, alongside a complete state-wise list of approved proposals under various ethanol interest subvention schemes from 2018 to 2022.8 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 →