Collections - Dataful

CollectionPerformance, Operational & Financial Ratios of Scheduled Banks in IndiaYear and Bank wise Performance (Credit Risk, Profitability, Risk Exposure, Operational Risk and Customer Service), Operational (ATMs, CRMs and WLAs,Foreign Branches, Branches and Employees) and Financial Ratios (Asset Quality, Capital Adequacy, Costs, Funding & Liquidity, Lending Portfolio Composition and Productivity) of Scheduled Banks in India 45 datasetsView →

CollectionTime Series Statistics from Statistical Tables Relating to Banks in IndiaThis collection contains datasets related to Time Series Statistics from Statistical Tables Relating to Banks in India56 datasetsView →

CollectionBanking Sector Performance, Asset Quality, Fraud, Complaints, Branch Network and Financial Indicators of Scheduled Commercial Banks in IndiaThis Collection contains comprehensive bank-wise data on Scheduled Commercial Banks in India covering asset quality (NPAs, recoveries, write-offs, wilful defaults), banking frauds, customer complaints, branch network, financial performance, capital adequacy, assets and liabilities, profitability, staffing, shareholding patterns, and sectoral exposures. Data is available across multiple time periods, quarters, states, districts, population groups, and bank groups where applicable. 25 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 →

CollectionFunctioning Branches of Scheduled Commercial Banks (SCB)This Collection contains datasets on year, quarter, state, district and bank wise total number of functioning branches of scheduled commercial banks (SCB) in India7 datasetsView →

CollectionSpread of ATMs in IndiaThis collection consists of data on state and region-wise ATMs deployed in India. It contains the year, month and type of bank-wise ATMs data for each bank 3 datasetsView →

CollectionIndustries 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 insights into industrial and economic metrics in India, including the number of factories, investments, capital formation, value addition, employment, and production in medium and small-scale industries. It also covers details on working capital, physical capital, emoluments, input-output values, and total persons engaged.23 datasetsView →

CollectionInfrastructure 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 infrastructure and utility metrics in India, including power availability, installed capacity, electricity losses, ease of doing business rankings, transportation infrastructure (roads, highways, railways), renewable energy capacity, power supply-demand, telephone density, and the availability of computer facilities in schools.14 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 →

CollectionBanking FraudsThe collection contains year-, state-, bank-, bank-group- and area-of-operation-wise compiled datasets on the number and value of banking frauds which have been committed in India since the year 2013-14, along with separate data on number and value of banking frauds which have been committed by phishing, vishing and skimming activities.2 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 →

CollectionBanks involved in Financial servicesThe collection contains dataset related to biller banks and customer banks names and total number that are live on different financial services like UPI,Bharat Bill Pay etc6 datasetsView →