Collections - Dataful

CollectionGig Workers in IndiaThe collection comprises datasets on gig workers compiled from various sources. These include gender- and state-wise counts of platform-based gig workers registered on the e-Shram portal, registrations categorized by occupational sector, and estimates of the overall gig workforce.5 datasetsView →

CollectionInflation Indicators (CPI and WPI)This Collection contains datasets related to All India level, Month, Commodity and Base Year-wise Consumer Price Index for Industrial Workers, Agricultural Labourers and Rural Labourers, Commodity-wise Consumer Price Index - Rural, Urban, Combined (All India) and Wholesale Price Index (WPI)4 datasetsView →

CollectionStatistics on Industrial Disputes, Closures, Retrenchments and Lay Offs in industries in IndiaThis collection contains datasets related to statistics on work-stoppages, closures, retrenchments and lockouts for strikes and Lockouts, in both State and Central Spheres. It also has datasets on workers involved and mandays lost due to work stoppages. Note: 'Sector' in these datasets indicate Public/Private Sector, and 'Sphere' indicates 'Central/State sphere' under whose jurisdiction a particular unit comes.17 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 →

CollectionH-1B Visas Petitions and ApprovalThe US Citizenship and Immigration Services provides annual data with respect to petitions filed, visa approved, by country of birth and type of employment for H-1B Visa. An H-1B visa is a non-immigrant visa that lets companies and offices in the US employ foreign workers who require specialized knowledge or at least a bachelor's degree or work experience. Data pertaining to visas approved and petitions filed across different categories like employment type, country of birth, etc is available in this collection.9 datasetsView →

CollectionPrison Staff Strength and Training from Prison Statistics India Reports, NCRBThis collection of datasets, derived from the National Crime Records Bureau (NCRB) Prison Statistics India reports, provides a detailed structural analysis of the human resources managing India’s correctional facilities. It tracks the year-wise and state-wise sanctioned and actual strength of jail personnel, highlighting critical gaps in the workforce through vacancy data and inmate-to-staff ratios. The data encompasses a wide range of roles, including high-level officers (DG, IG, Superintendent), jail cadre staff (Warders and Matrons), medical professionals, and ministerial staff. A significant focus of this collection is the representation of women among jail officers and staff, as well as the presence of specialised correctional personnel such as psychologists, social workers, and welfare officers. Additionally, the datasets monitor the professional development of the workforce by documenting the frequency and scale of training programs provided to jail staff. These insights are vital for researchers and policymakers evaluating administrative efficiency, staff welfare, and the overall capacity of the Indian penal system to provide secure and rehabilitative environments.10 datasetsView →

CollectionESG data from BRSRThe Business Responsibility and Sustainability Reports (BRSR) framework is a mandatory disclosure mechanism for top 1000 (NSE and BSE) listed companies or businesses by market capitalization to report their performance on Environmental, Social and Governance (ESG) aspects and demonstrate their commitment to responsible business practices. The data has been updated based on company reports published on the NSE and BSE websites. The collection contains year- and company-wise, along with details of Corporate Identification Number (CIN), datasets on financial, environmental, social and governance performance of top 1000 companies, which are listed every year by market capitalization. The specifics of data contained for each of 1000 companies in the datasets include: -paid up capital, turnover and net worth -the name, shares and contribution, and other details of each of the subsidiary company of the top 1000 companies -number of locations, both within and outside India, where the offices their are located -the types of business activities and products and services that are done -gender-wise number of employees and workers, both permanent and others, along with details of their contribution in turnover of the company, -the details of grievance redressal mechanism such as number of complaints received, disposed and pending resolution, etc. Note: We observed certain discrepancies in the units reported by a few companies in their BRSR submissions, specifically between the PDF files and the corresponding XML files. On Dataful, we have retrieved the units mentioned in the PDF files to correct the XML data wherever possible and are working to make the datasets as accurate as possible. In some cases, data from PDF files of two different years for the same company did not match. In such instances, the data from the latest year has been considered. However, we recommend verifying the information directly with SEBI and/or the respective companies if you notice any such discrepancies. 57 datasetsView →