Collections - Dataful

CollectionBasic Port Statistics of IndiaThis collection contains datasets related to Ports performance covering both Major and Non-Major Ports in India. Datasets include the performance of port sector in terms of cargo carried- commodity wise, vessel wise, passengers handled, and macro performance indicators.44 datasetsView →

CollectionMajor Water Borne Diseases in IndiaThis collection contains the state-wise details of cases and deaths due to major water-borne diseases in India. It includes Acute Diarrheal Diseases, Cholera, Hepatitis and Typhoid.4 datasetsView →

CollectionPerformance of major skilling programsThis collection contains the details about the performance of major skilling programs undertaken in India. This data includes performance under Pradhan Mantri Kaushal Vikas Yojana (PMKVY), Deen Dayal Upadhyaya Grameen Kaushalya Yojana (DDU-GKY), Craftsmen Training Scheme (CTS), and data on new subscribers in net payroll under Employee Provident Fund (EPF), Employee State Insurance (ESI), and New Pension Scheme (NPS).5 datasetsView →

CollectionFinancial Performance of Non-Government Non-Financial Private and Public Limited CompaniesThis Collection has datasets related to Non-Government Non-Financial Public Limited Companies and Private Limited Companies that are presented at an aggregate level and available for select industry groups. Also, data relating to Non-Government Financial and Investment Companies are presented at aggregate level for major activity groups. Annual data on different financial ratios, viz. Capital Structure Ratios, Liquidity Ratios, Assets Utilization and Turnover Ratios of Select Public Limited Companies (Industry-wise) are available from March 2000 onwards. The main sources for the corporate sector statistics are the Annual Reports and Accounts of the Companies i.e. Balance Sheet, Manufacturing, Trading and Profit and Loss Accounts.24 datasetsView →

CollectionSANKET: Statistical Analysis, Numbers and Key Evaluation of Trends in Coal Mine AccidentsThis collection contains the datasets on the information regarding fatal and serious accidents in coal mines and brief description of findings of enquiry conducted by Directorate General of Mines Safety (DGMS) in respect of each and every fatal accident that occurred during the reference year such as major causes, location of mine (Above ground, Below ground and Open Cast) and responsibility of the accident.12 datasetsView →

CollectionAnnual Survey of Industries (ASI)The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical data of industries to evaluate and assess the changes in the growth and structure of industrial sector The ASI collection contains year-, state-, region-, industry-type- and nic-code-wise compiled data on the value of industries by their principal and major characteristics. These include characteristics such as number of factories, number of workers, mandays - workers, number of employees, mandays - employees, total person engaged, value of fixed capital, working capital, invested capital, outstanding loans, wages to workers, total emoluments, provident and other funds, workmen and staff welfare expenses, fuels consumed, material consumed, total inputs, products and by-products, output, depreciation, net value added, rent paid, interest paid, net income, net fixed capital formation, gross fixed capital formation, addition in stock of materials, fuels, etc., addition in stock of semi-finished goods, addition in stock of finished goods, gross capital formation, profits, old age benefits, social security benefits, products, etc.7 datasetsView →

CollectionNSSO: Land and LivestockThe collection contains State-, Region-, Year- and Season-wise historically compiled data from National Sample Survey Organization's (NSS/NSSO) reports on the subject of land and livestock in India. The specifics of data in the collection include distribution and ownership of agricultural lands among households, estimated area over which agricultural lands were put into agricultural use, the different agricultural and non-agricultural uses for which agricultural lands were used, extent of agricultural lands leased-in and leased-out by households, major sources of irrigation for agricultural lands, the extent of agricultural lands lands covered under irrigation and non-irrigation facilities and on other pertinent aspects and issues related to the subject of Land and Livestock. The coverage of data is from the year 2002 to 2019 (until the publication of latest report)29 datasetsView →

CollectionTime Use Survey (TUS)This collection brings together datasets from the Time Use Survey (TUS) that examine how individuals spend their time each day. It provides participation rates and average time spent per person or per participant across key activity groups, including employment and related work, production for own use, unpaid domestic and volunteer work, learning, social and community participation, cultural and leisure activities, and self-care. The dataset also distinguishes between SNA and Non-SNA production activities. Activities within the System of National Accounts (SNA) production boundary are classified as SNA production, those outside this boundary but within the general production boundary are treated as Non-SNA production, and all remaining activities are grouped as residual activities. Datasets are available for both major activity status and all recorded activities within time slots, with detailed breakdowns by age group, activity type, and at national and state levels.15 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 →

CollectionNCRB - Crimes Against Senior CitizensThis collection of datasets, extracted from the National Crime Records Bureau (NCRB) Crime in India reports, provides a comprehensive end-to-end analysis of the legal journey of crimes against senior citizens. It tracks the entire lifecycle of a case, beginning with police disposal status, documenting investigations, chargesheets submitted, and cases closed due to insufficient evidence or technical grounds (such as Section 157(1)(b) of the CrPC). The data is benchmarked against the Registrar General of India’s Census 2011 population figures to calculate essential metrics like the crime rate and chargesheet rate. The collection offers high granularity by categorising offences under major crime heads, including violent crimes (murder, rape, kidnapping), property offences (theft, robbery, fraud), and crimes specifically targeting elderly women. It further extends to the judicial disposal status, detailing court outcomes such as convictions, acquittals, discharges, and plea bargains. With additional gender-wise data on arrested persons, these datasets serve as a vital resource for policymakers and advocacy groups to evaluate the efficiency of law enforcement and the judicial system in protecting India’s elderly population.21 datasetsView →

CollectionNCRB Crime in India-Violent CrimesThe Violent Crimes dataset collection provides comprehensive statistical information on serious offences involving physical violence and threat to life recorded in India. Compiled from National Crime Records Bureau data, the collection covers year wise, state wise, city wise, and crime head wise counts of violent crimes registered under the Indian Penal Code. The datasets include major categories such as murder (Sec.302 IPC), culpable homicide not amounting to murder (Sec.304 IPC), attempt to commit murder (Sec.307 IPC), attempt to commit culpable homicide (Sec.308 IPC), grievous hurt (Sec.325, 326, 326A and 326B IPC), kidnapping and abduction (Sec.363–369 IPC), rape (Sec.376 IPC), attempt to commit rape (Sec.376 read with Sec.511 IPC), dowry deaths (Sec.304B IPC), infanticide (Sec.315 IPC), foeticide (Sec.316 IPC), rioting (Sec.147–151 and 153A IPC), robbery (Sec.392–394 IPC), dacoity (Sec.395–398 IPC), and arson (Sec.435–438 IPC). The collection also includes total violent crimes aggregates, enabling analysis of overall trends, regional distribution, and changes in the incidence of violent offences over time. By combining spatial granularity with offence-level classification, these datasets support research, policy analysis, law enforcement planning, and public understanding of the scale and nature of violent crime across India.6 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 →