Collections - Dataful

CollectionFinancial Sector Banking Assets and Liabilities Statistics from DBIEThis collection contains datasets related to Financial Sector Banking Assets and Liabilities Statistics from RBI's Database on Indian Economy.2 datasetsView →

CollectionNon-Performing Assets (NPAs), Write-Offs and RecoveryThis collection contains datasets related to Bank-group, Bank, and sector-wise new accretion to Non-Performing Assets (NPAs) from standard advances, Actual Recoveries, Write-offs, Gross and Net NPAs, Gross Advances, and Gross NPA ratio, as well as Fiscal Year and Bank Group-Wise Gross, Net NPAs and Recovery of NPAs of Scheduled Commercial Banks through various channels like Lok Adalats, Debt Recovery Tribunals (DRTs), and the SARFAESI Act, as of 31 March of a financial year.6 datasetsView →

CollectionStocks and Flow of Financial Assets and Liabilities of HouseholdsThis collection contains the details of stocks and flow of financial assets and liabilities of Indian Households. The datasets include the instrument-wise flow of assets, liabilities, and overall assets and liabilities; and sector-wise stocks of assets, liabilities and overall assets and liabilities.6 datasetsView →

CollectionGSVA/NSVA by economic activities 2011-12 seriesThis Collection contains datasets on year, state, sector and category wise Gross State Value Added (GSVA) and Net State Value Added (NSVA) (at current and constant prices) for the base year 2011-12 GSVA measures the total economic value added by all producing sectors and industries (such as agriculture, manufacturing, and services) within a specific state's boundaries before accounting for depreciation. It tracks economic activity from the supply side (the producer's perspective) rather than the consumer side NSVA provides a more precise picture of economic growth by factoring in wear and tear. It is defined as the GSVA minus the Consumption of Fixed Capital (CFC), which represents the depreciation or reduction in the value of fixed assets (machinery, infrastructure, tools) during production.34 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 →

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 →

CollectionDebt Securities and Mutual Fund Market StatisticsThis collection provides a comprehensive statistical overview of debt instruments and investment flows across the financial sector. By consolidating data on Municipal Bonds, Non-Convertible Debentures (NCDs), Corporate Bonds, and Securitized Debt Instruments, the collection tracks the lifecycle of these markets from issuance and private placements to redemptions and outstanding volumes. It also integrates key Mutual Fund activity statistics, including funds mobilized and total assets under management (AUM) categorized by investment objectives. Together, these datasets offer granular insights into the participation of financial and non-financial corporations, helping analyze liquidity trends, credit market conditions, fundraising activity, and institutional investment patterns. Municipal Bonds are debt securities issued by municipal corporations or local government bodies to finance public infrastructure projects such as roads, water supply systems, and urban development. These bonds typically provide investors with periodic interest payments and repayment of principal at maturity, while enabling municipalities to raise long-term capital for civic projects. Corporate Bonds are debt instruments issued by companies to raise funds for business expansion, operations, refinancing, or capital expenditure. Investors lend money to the corporation in exchange for fixed or variable interest payments over a specified tenure, with repayment of principal upon maturity. Securitized Instruments are financial securities created by pooling underlying assets such as loans, receivables, or mortgages and converting them into tradable investment products. These instruments help institutions improve liquidity and allow investors to participate in diversified income-generating asset pools. A Public Issue refers to the offering of bonds or debt securities to the general public through regulated market mechanisms, enabling broad investor participation. In contrast, a Private Placement involves the sale of bonds directly to a select group of institutional or qualified investors without a public offering, often allowing faster fundraising with customized terms. Financial Corporations are institutions primarily engaged in financial intermediation and related services, such as banks, insurance companies, mutual funds, non-banking financial companies (NBFCs), and other investment entities. These organizations raise, manage, lend, or invest capital within the financial system. Non-Financial Corporations are companies whose primary business activities involve the production of goods or delivery of non-financial services, including sectors such as manufacturing, infrastructure, technology, energy, telecommunications, and retail. These corporations participate in debt markets mainly to raise capital for business operations, expansion, and long-term investments.9 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 →

CollectionAssessment of Ground Water Resources in IndiaThis collection contains the details of the assessment of groundwater resources in India. It includes the source and season-wise annual groundwater recharge, purpose-wise groundwater extraction (utilization), projected groundwater availability for future uses, and the current stage of groundwater extraction. These datasets are available at both state and district levels.9 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 →

CollectionPeriodic Labour Force Survey (PLFS)This collection consists of datasets from the Periodic Labour Force Survey (PLFS). PLFS is a national survey conducted in India to assess labor market indicators, including employment, unemployment, and workforce participation. It collects data on various demographic characteristics, employment status, and economic activities, providing insights into the country's labor dynamics and helping inform policy decisions. The years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years.39 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 →