Collections - Dataful

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 →

CollectionInterest Rate on National Savings SchemesThis Collection contains interest rates of National Savings Schemes (Small Savings Schemes) like Savings Accounts, 1-2-3-5 Year Time Deposits, Recurring Deposit, Senior Citizens Savings Scheme, Monthly Income Account, National Savings Certificate, Public Provident Fund, Sukanya Samriddhi Account Scheme, Kisan Vikas Patra etc.3 datasetsView →

CollectionBalance of PaymentsBalance of Payments (BoP) systematically summarises, for a specific period, the economic transactions of an economy with the rest of the world. The BoP can be broadly divided into two accounts namely, (a) current account, and (b) capital and financial account. The current account measures the transfer of real resources (goods, services, income and transfers) between an economy and the rest of the world. The capital and financial account reflects the net changes in financial claims on the rest of the world. 4 datasetsView →

CollectionRBI Retail Direct StatisticsRetail Direct scheme facilitates investment in Government Securities by Individual Investors. Under this scheme, Individual Retail investors can open Gilt Securities Account – “Retail Direct Gilt (RDG)” Account with the RBI. This Collection contains datasets on week-wise cumulative data on the amount of central and state government securities, treasury bills and sovereign gold bonds sold under the RBI's Retail Direct Scheme since inception i.e November 12, 20212 datasetsView →

CollectionPMJDY: Accounts and DepositsThis Collection contains datasets related to Pradhan Mantri Jan Dhan Yojana (PMJDY) programme. It has State, District and Bank-wise details of PMJDY accounts, deposit balance and Rupay card accounts data5 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 →

CollectionCredit Details (Bank Accounts, Credit Limit and Outstanding Amount) of Scheduled Commercial Banks (SCB)This Collection contains datasets on year, state, district and occupation wise credit details like bank accounts, credit limit and outstanding amount of Scheduled Commercial Banks (SCB) Note: Data is as of 31 March Each Year5 datasetsView →

CollectionFinancial Inclusion of Women - Funds, Credit, Schemes, Employment, Bank AccountsThis Collection contains datasets on financial inclusion of women which consists of funds released, employment, bank accounts, loans granted etc.6 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 →

CollectionNational Multidimensional Poverty IndexThe National Multidimensional Poverty Index is key in assessing advancements towards target 1.2 of the Sustainable Development Goals (SDGs) which aims at reducing “at least by half the proportion of men, women and children of all ages living in poverty in all its dimensions” by 2030. NITI Aayog’s Multidimensional Poverty Index (MPI) is based on three dimensions — health, education, and standard of living — with each having a weightage of one-third in the index. These dimensions are further based on 12 segments — nutrition, child and adolescent mortality, maternal health, years of schooling, school attendance, cooking fuel, sanitation, drinking water, electricity, housing, assets, and bank accounts. There are two indices used for arriving at the MPI Value. MPI is the product of the following two indices. Headcount ratio which indicates how many are poor and the intensity of poverty which indicates how poor are the poor. The values are based on the NFHS survey reports.2 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 →

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 →