Collections - Dataful

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 →

CollectionBharat Connect (Bharat Bill Pay) Transactions StatisticsThe collection contains year-, quarter-, month- and day-wise statistics on volume and value of transactions performed on bharat connect platform by agents, biller operating units, customer operating units. It contains data relating to complaint redressal, uptime, downtime, and others aspects13 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 →

CollectionSoil Health DataThis collection contains year-, state-, district- and village wise soil health information for each location. It includes key soil parameters such as Nitrogen, Phosphorus, Potassium, Sulphur, Organic Carbon, pH, Electrical Conductivity, Boron, Iron, Zinc, Copper, Manganese, and catchment area. A microwatershed (1:50K) is the smallest fundamental hydrological unit delineated on a 1:50,000 scale map, typically representing drainage areas of small streams or streamlets with a unique national code, while a prioritized microwatershed (1:50K) is that same basic unit evaluated and ranked (e.g., Very High, High, Medium, Low priority) based on factors like soil erosion and sediment yield index to phase conservation work. Notes: Nitrogen (kg/ha) : <280 is Low, 280 to 560 is Medium, >560 is High Phosphorous (kg/ha) : <10 is Low, 10 to 25 is Medium, >25 is High Potassium (kg/ha) : <120 is Low, 120 to 280 is Medium, >280 is High Organic Carbon (percentage) : < 0.5% is Low, 0.5 to 0.75% is Medium, > 0.75% is High Boron (ppm) : < 0.5 is Deficient, > 0.5 is Sufficient Iron (ppm) : < 4.5 is Deficient, > 5.5 is Sufficient Zinc (ppm) : < 0.6 is Deficient, > 0.6 is Sufficient Copper (ppm) : < 0.2 is Deficient, > 0.2 is Sufficient Manganese (ppm) : < 2 is Deficient, > 2 is Sufficient Sulphur (ppm) : < 10 is Deficient, > 10 is Sufficient pH Range:- Strongly acidic : ≤ 4.5 Moderately acidic : > 4.5 – 5.5 Slightly acidic : > 5.5 – 6.5 Normal : > 6.5 – 7.5 Slightly alkaline : > 7.5 – 8.5 Moderately alkaline (sodic) : > 8.5 – 9.5 Strongly alkaline (highly sodic) : > 9.5 Electrical Conductivity (dS/m):- Non saline : 0 – 1.68 Low salinity : 1.68 – 3.36 Mild salinity : 3.36 – 6.72 High salinity : 6.72 – 13.44 Severe salinity : > 13.4433 datasetsView →

CollectionDefence Production and ProcurementThis collection contains the information about the defence expenditures on acquisitions, indigenous procurements, Research & Development, overall expenditures. It also contains information on public sector units like the turnover and the exports.6 datasetsView →

CollectionCoir BoardThis collection contains the Year Wise exports of coir, production of different coir based products, state wise number of registered coir units, employment in the coir industry, subsidy released under Coir Udyami Yojana scheme and item wise exports of coir products5 datasetsView →

CollectionNCRB - Human TraffickingThe Human Trafficking in India collection, based on National Crime Records Bureau (NCRB) data, provides comprehensive statistics on human trafficking cases, victims, rescue operations, purposes of trafficking, and police and court disposal. The collection covers crime head wise and state wise cases, crime and chargesheet rates, persons arrested and their disposal, victims trafficked and rescued by age, gender and nationality, and the number of Police Districts and Anti Human Trafficking Units. It also includes trafficking purposes such as forced labour, forced marriage, domestic servitude, sexual exploitation, child pornography, begging, drug peddling, petty crimes, and removal of organs, enabling analysis of the scale, patterns, victims, and institutional response to human trafficking in India.18 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 →