Collections - Dataful

CollectionBudgeted Expenditure on EducationThis collection contains All-India, state-wise, year-wise, sector-wise, and ministry-wise data on budgeted public expenditure on education and training in India. It covers expenditure by State and Central Governments across Revenue and Capital Accounts, Loans and Advances, and includes Education and Other Departments. The collection provides expenditure data for elementary, secondary, adult, general, language, technical, and university education, along with education and training under formal and informal categories. It also includes education expenditure as a percentage of GDP, state budgets and GSDP, Centre and State budget provisions, and ministry-wise allocations, enabling analysis of trends, priorities, and the share of public spending on education.18 datasetsView →

CollectionComprehensive Modular Survey: Education (CMSE) (NSS 80th Round)This collection contains datasets primarily detailing on expenditure-related information incurred by the student households enrolled in school education. Key statistics include the distribution of students enrolled in school education by current enrolment level, the average expenditure per student on school education by current enrolment level, and the average expenditure per reported student on school education by school type, among others.18 datasetsView →

CollectionNIRF: Master Data of Higher Educational Institutions' Admissions, Placements, Finances, Research and RankingThe collection contains year-wise compiled data and the pertinent datasets on different parameters and aspects relating to scoring and ranking of higher educational institutions in India, based on the data published by Ministry of Education under National Institutional Ranking Framework (NIRF) Note: 1. The data pertains only to those universities/colleges/institutions whose detailed NIRF submissions is uploaded to the NIRF portal. 2. The specifics of data contained in the datasets include details relating to admissions and placements such as number of student admissions, graduations, placements, etc., the financial details such as capital, operational and other types of expenditure incurred, the profits earned, etc. research details such as number of consultancy and research projects taken up, number of funding/client organizations, the funds received, the faculty available together with their qualifications, etc. Based on these and other partmeters, the NIRF has also published university/institute-wise score and ranking of each higher educational institutions, which have also been made as separate datasets in the collection. 3. The 2026 rankings and college data have not yet been released by NIRF. However, we have sourced the 2026 data for individual colleges directly from their respective official websites. We followed the same approach for colleges that were not highly ranked in previous years and whose information is not available on the NIRF website.28 datasetsView →

CollectionScience & Technology Indicators: Research and Development StatisticsThe collection covers comprehensive datasets on national R&D expenditure and sectoral funding, scientific human resources and qualifications, patents and research publications, higher education doctoral output, and international benchmarking metrics.11 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 →

CollectionExpenditure on Evacuation Operations/MissionsThis collection provides data on India’s evacuation operations since 2021, covering mission-wise and country-wise details of evacuated Indian nationals, along with the year-wise expenditure incurred on these operations. It also includes state-wise information on the Indian nationals evacuated under each mission.2 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 →

CollectionPerformance Indicators of Visakhapatnam Steel Plant (Rashtriya Ispat Nigam Limited)This Collection contains the details of annual turnover, gross income and net worth, production performance, profit before and after tax, specific energy consumption and carbon dioxide emissions and expenditure incurred on research and development by Visakhapatnam steel plant.6 datasetsView →

CollectionCorporate Social Responsibility (CSR) StatisticsThe Corporate Social Responsibility concept in India is governed by Section 135 of the Companies Act, 2013 (Act), Schedule VII of the Act and Companies (CSR Policy) Rules, 2014 wherein the criteria has been provided for assessing the CSR eligibility of a company, Implementation and Reporting of their CSR Policies. This Collection contains datasets on expenditure details, project reports, registration details of companies under CSR Note about discrepancies: Any discrepancies in the data between the MCA's CSR portal and this dataset are due to certain duplicate entries in the MCA CSR portal. In some of these cases, the company name appears differently, even though the CIN is the same. As per the official source, the data for both companies is exactly the same. Further, company names that were repeated due to non-standard formatting, such as extra spaces or other data-cleaning issues, have been standardised. For instance, S. B. MULTIMEDIA PRIVATE PRIVATE LIMITED was standardised to S. B. MULTIMEDIA PRIVATE LIMITED, and R E-ROGERS INDIA PRIVATE LIMITED was standardised to R.E. ROGERS INDIA PRIVATE LIMITED as the same company had duplicate entries with minor variations in names and with same CIN. Other notes: 1. The CSR Official Portal is updated on a regular basis as companies submit their CSR disclosures. Consequently, the CSR data for FY 2024–25 available on Dataful will continue to be updated as new information becomes available on the official portal. 2. Please note that there may be discrepancies in the units for the project_amount_outlay and amount_spent columns. All the values & units in the datasets are shown exactly as presented in the source. 3. Year-wise count of companies in this dataset may not match with that of the original source as the duplicate entries for each year were removed in this dataset. The original source had duplicate rows for hundreds of companies. 4. Nec/Not Mentioned means Not Elsewhere Covered 5. Pan India means companies either did not specify the names of States or indicated more than one State where projects were undertaken 6. All India is different from Pan India. All India means all States put together or total of all the states 7. CIN is the unique field, not the company name8 datasetsView →

CollectionUnion Government Accounts: Revenue, Expenditure and DeficitThis Collection contains Datasets on Year and Month-wise Revenue (Revenue Receipts and Non-Debt Capital Receipts), Expenditure (Capital, Revenue, Plan and Non-Plan Expenditure) and Deficits (Fiscal Deficit, Revenue Deficit and Primary Deficit) of Government of India.3 datasetsView →

CollectionHousehold Consumption Expenditure Survey (HCES)This collection contains the datasets on the Household Consumption Expenditure Survey across various NSS rounds in India. The Household Consumption Expenditure Survey (HCES) is designed to collect information on consumption and expenditure of the households on goods and services. The collection contains datasets on the State and area-wise average Monthly PerCapita Expenditure (MPCE), average value of broad item groups, MPCE across Social Groups, MPCE for different occupational households and MPCE for different sizes of land possessed.6 datasetsView →