Collections - Dataful

CollectionPrison Staff Strength and Training from Prison Statistics India Reports, NCRBThis collection of datasets, derived from the National Crime Records Bureau (NCRB) Prison Statistics India reports, provides a detailed structural analysis of the human resources managing India’s correctional facilities. It tracks the year-wise and state-wise sanctioned and actual strength of jail personnel, highlighting critical gaps in the workforce through vacancy data and inmate-to-staff ratios. The data encompasses a wide range of roles, including high-level officers (DG, IG, Superintendent), jail cadre staff (Warders and Matrons), medical professionals, and ministerial staff. A significant focus of this collection is the representation of women among jail officers and staff, as well as the presence of specialised correctional personnel such as psychologists, social workers, and welfare officers. Additionally, the datasets monitor the professional development of the workforce by documenting the frequency and scale of training programs provided to jail staff. These insights are vital for researchers and policymakers evaluating administrative efficiency, staff welfare, and the overall capacity of the Indian penal system to provide secure and rehabilitative environments.10 datasetsView →

CollectionPrison Budget and Infrastructure from Prison Statistics India Reports, NCRBThis collection of datasets, derived from the National Crime Records Bureau (NCRB) Prison Statistics India reports, provides a comprehensive fiscal and structural overview of the Indian correctional system. It tracks the financial management of prisons by comparing sanctioned budgets with actual expenditures—broken down by Plan and Non-Plan funds—alongside detailed year-wise and state-wise spending on prisoner care, including essential needs like food, medical care, and clothing, as well as rehabilitative investments in vocational and educational programs. In addition to financial data, the collection monitors the physical and human infrastructure of the penal system. It documents the construction, renovation, and expansion of various facility types—such as Central, District, Women, and Open Jails—and the integration of modern technology like video conferencing facilities. Furthermore, it highlights administrative challenges by detailing the staffing strength (sanctioned vs. actual) and the availability of official housing. Together, these datasets offer a transparent view of how resources are allocated and utilised to manage, maintain, and modernise India’s prison infrastructure.16 datasetsView →

CollectionStaff Strength and Infrastruture in State Pollution Control BoardsThe collection contains state-wise compiled datasets on number of sanctioned, working and vacant staff in State Pollution Control Boards/Pollution Control Committees (SPCBs/PCCs). It also contains datasets on number of Environmental Laboratories and the Air, Water, and Noise quality monitoring stations of SPCBs/PCCs in each state.4 datasetsView →

CollectionPolice: Data Related to Strength, Vacancies, Budgets, Expenditures, Infrastructure and OthersThe collection contains comprehensive year-, state-, region- and designation-wise datasets on police, their employment in terms of their existing strength, actual sanctioned posts, vacancies, budgets granted, expenditure incurred, police per lakh population and per 100 square kilometres area, transport vehicle statistics, among others20 datasetsView →

CollectionMaster Collection: Members of Parliament Local Area Development Scheme (MPLADS) Funds - Sanctioned, Pending, Released, Expended and UnspentThe collection contains year-, state-, district-, constituency- and mp-wise historically compiled data on the implementation of Member of Parliament Local Area Development Scheme (MPLADS). The specifics of data contained in the datasets include different types of works which have been proposed by the members of parliament, both Rajya Sabha and Lok Sabha members, at nodal district or other districts, the details of requested fund to Government of India (GoI), the status of proposal such as whether it is accepted, rejected or pending, the funds which have been released for each specific type of work by GoI to the local district administration, the status of released fund from GoI at the district authority i.e. whether the fund has been released, work has been executed, pending to be executed or work is under progress, etc. On all these aspects, the datasets provide details of funds which have been entitled, sanctioned, pending, released, pending and unspent.18 datasetsView →

CollectionPhysical and Financial Progress of Houses Constructed under PMAY-U & PMAY-U 2.0This Collection contains state and city/town/panchayat-wise physical progress (houses sanctioned, grounded, construction completed) and financial progress (investments, central assistance sanctioned and released) of houses under Pradhan Mantri Awas Yojana- Urban (PMAY-U and PMAY-U 2.0)2 datasetsView →

CollectionPMGSY: Habitations, Road Lengths, Cost and Expenditure for Rural Connectivity ProjectsThis Collection contains datasets on year, scheme, district wise sanctioned, connected habitations, completed road lengths, cost and expenditure for Pradhan Mantri Gram Sadak Yojana (PMGSY) rural connectivity projects3 datasetsView →

CollectionPerformance of MUDRA Loan SchemeThis Collection contains datasets on year, state and various category-wise performance of MUDRA Yojana (Accounts, Amount Sanctioned and Disbursed under Shishu, Tarun and Kishore Accounts)4 datasetsView →

CollectionComplaints Received and Disposed by Central Vigilance CommissionThis collection contains the details of various complaints received and disposed by the Central Vigilance Commission. Datasets include the vigilance cases, general complaints and the complaints under PIDPI resolution, received and disposed by the commission. In addition, the collection also has the dataset of the prosecutions sanctioned and the nature of punishments awarded to public servants by the Commission.4 datasetsView →

CollectionStatistics of District Mineral Foundations (DMF)This collection contains state-, district-, and sector-wise cumulative data on the implementation and utilisation of District Mineral Foundation (DMF) funds. It covers the number of districts with DMFs established, amounts collected from coal, lignite, major and minor minerals, and the amounts allocated and spent. The datasets also provide details on projects sanctioned, yet to commence, ongoing, completed, and scrapped or cancelled. At the All-India and sector levels, it includes projects approved, amounts approved, and expenditure, with sectors classified into High Priority and Other Priority categories. District-level data further captures project sanctions and completions alongside DMF collections, allocations, and expenditure.6 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 →

CollectionStatistics of Emigration from India to ECR countriesThis collection contains the datasets on the emigration to ECR Countries. It has datasets related to the Year-wise Total Emigration Clearances issued under e-migrate portal, Total employers registered under each sector in e-migrate portal, the destination country-wise emigrants from India, and the complaints and prosecution sanctions against fake/illegal recruitment agents. 6 datasetsView →