Collections - Dataful

CollectionRTO, Vehicle Maker (Manufacturer), Vehicle Category Group and Vehicle Category-wise Total Number of Vehicles Registered in each StateThis Collection contains datasets on year, vehicle maker (manufacturer), vehicle category group and vahicle category wise total number of vehicles registered in each RTO of each state Note: 1. Vehicle category group includes four wheeler, construction equipment vehicle, tractor, two wheeler, goods vehicles, public service vehicle, ambulance hearses, three wheeler, special category vehicles, trailer 2. Vehicle category includes 2WIC: Two-Wheeler (Invalid Carriage), 2WN: Two-Wheeler (Non-Transport), 2WT: Two-Wheeler (Transport), 3WN: Three-Wheeler (Non-Transport), 3WT: Three-Wheeler (Transport), 4WIC: Four-Wheeler (Invalid Carriage), HGV: Heavy Goods Vehicle, HMV: Heavy Motor Vehicle, HPV: Heavy Passenger Vehicle, LGV: Light Goods Vehicle, LMV: Light Motor Vehicle, LPV: Light Passenger Vehicle, MGV: Medium Goods Vehicle, MMV: Medium Motor Vehicle, MPV: Medium Passenger Vehicle36 datasetsView →

CollectionRTO, Vehicle Maker and its Category-wise Vehicles Registered in Each StateThis Collection contains datasets on year, month, place of RTO, Vehicle Maker and its Category wise Vehicles Registered in all RTOs for each State Note: 1. Below are the abbreviation for the vehicle categories mentioned in this collection 2WIC: Two-Wheeler (Invalid Carriage), 2WN: Two-Wheeler (Non-Transport), 2WT: Two-Wheeler (Transport), 3WN: Three-Wheeler (Non-Transport), 3WT: Three-Wheeler (Transport), 4WIC: Four-Wheeler (Invalid Carriage), HGV: Heavy Goods Vehicle, HMV: Heavy Motor Vehicle, HPV: Heavy Passenger Vehicle, LGV: Light Goods Vehicle, LMV: Light Motor Vehicle, LPV: Light Passenger Vehicle, MGV: Medium Goods Vehicle, MMV: Medium Motor Vehicle, MPV: Medium Passenger Vehicle, OTH: Other Than Mentioned Above 2. The data is sourced from the Vahan Portal and reflects the last update done by us. Data is updated/refreshed once every month. Any mismatches are due to frequent updates on the Vahan dashboard. 3. For datasets with year-wise data, the data of the previous years is as of 31 December of that year whereas the data of the current year is as of date.36 datasetsView →

CollectionVehicle Maker/Manufacture and Vehicle Class Type wise Vehicles registered in each StateThis Collection contains datasets year, month, state, rto, vehicle manufacturer, vehicle class type and vehicle class wise vehicles registered in India. It includes Adapted Vehicle, Armoured/Specialised Vehicle, Agricultural Tractor, Harvester, Power Tiller, Power Tiller (Commercial), Puller Tractor, Tractor (Commercial), Tractor-Trolley(Commercial), Trailer (Agricultural), Articulated Vehicle, Breakdown Van, Goods Carrier, Quadricycle (Commercial), Quadricycle (Private), Recovery Vehicle, Semi-Trailer (Commercial), Tow Truck, Ambulance, Animal Ambulance, Fire Fighting Vehicle, Fire Tenders, Mobile Clinic, X-Ray Van, Bulldozer, Construction Equipment Vehicle, Construction Equipment Vehicle (Commercial), Crane Mounted Vehicle, Dumper, Earth Moving Equipment, Excavator (Commercial), Excavator (NT), Fork Lift, Road Roller, Snorked Ladders, Tower Wagon, Luxury Cab, Maxi Cab, Motor Cab, Motor Car, Private Service Vehicle, Private Service Vehicle (Individual Use), Vintage Motor Vehicle, Bus, Educational Institution Bus, Omni Bus, Omni Bus (Private Use), School Bus, Camper Van / Trailer, Camper Van / Trailer (Private Use), Motor Caravan, Cash Van, Hearses, Library Van, Mobile Canteen, Mobile Workshop, Tree Trimming Vehicle, Auxiliary Trailer, Modular Hydraulic Trailer, Trailer (Commercial), Trailer For Personal Use, e-Rickshaw with Cart (G), e-Rickshaw(P), M-Cycle/Scooter, M-Cycle/Scooter-With Side Car, Moped, Motor Cycle/Scooter-SideCar(T), Motor Cycle/Scooter-Used For Hire, Motor Cycle/Scooter-With Trailer, Motorised Cycle (CC > 25cc), Three Wheeler (Goods), Three Wheeler (Passenger), Three Wheeler (Personal), Vehicle Fitted With Compressor, Vehicle Fitted With Generator, Vehicle Fitted With Rig 11 datasetsView →

CollectionRTO, Vehicle Maker (Manufacturer) and Vehicle Class-wise Vehicles Registered in Each StateThis Collection contains datasets on year, month, vehicle maker and vehicle class wise vehicles registered in all RTOs for each state Note: 1. Below are the vehicle classes as per MoRTH Adapted Vehicle, Agricultural Tractor, Ambulance, Armoured/Specialised Vehicle, Breakdown Van, Bulldozer, Camper Van / Trailer, Cash Van, Construction Equipment Vehicle, Crane Mounted Vehicle, Dumper, e-Rickshaw(P), Earth Moving Equipment, Educational Institution Bus, Excavator Commercial), Excavator (NT), Fire Fighting Vehicle, Fork Lift, Goods Carrier, Harvester, Hearses, Library Van, Luxury Cab, M-Cycle/Scooter, Maxi Cab, Mobile Canteen, Mobile Clinic, Mobile Workshop, Moped, Motor Car, Motorised Cycle, Omni Bus, Power Tiller, Private Service Vehicle, Recovery Vehicle, Road Roller, School Bus, Semi-Trailer (Commercial), Three Wheeler (Goods), Tow Truck, Tower Wagon, Tractor, Trailer, Tree Trimming Vehicle 2. The data is sourced from the Vahan Portal and reflects the last update done by us. Data is updated/refreshed once every month. Any mismatches are due to frequent updates on the Vahan dashboard. 3. For datasets with year-wise data, the data of the previous years is as of 31 December of that year whereas the data of the current year is as of date. 36 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 →

CollectionComplaints Registered with RBI OmbudsmenThe collection consists of datasets on complaints received by RBI Ombudsmen. It should be noted that the Integrated Ombudsman Scheme (RB-IOS) was launched in 2021. Until then, there were separate Ombudsman schemes for banks, NBFCs and digital transactions. Further, the categorisation has become more comprehensive in the recent years.10 datasetsView →

CollectionEmployment Provident Fund Payroll DataThe collection contains master data on employees payroll from the year 2017-18 to till date. The specifics of data contained in the dataset include year-, month-, state-, age-group-, industry-type- and gender-wise compiled data on estimate number of payroll members and the number of new, exited and rejoined subscribers in Employment Provident Fund Organization (EPFO) The Employment Provident Fund (EPF) was launched in the year 1951 under the Employees Provident Fund Act to administer contributory provident fund, pension scheme and an insurance scheme. It promotes to save funds for retirement for the workforce engaged in the organized sector in India. The Act and Schemes framed there under are administered by a tri-partite Board known as the Central Board of Trustees, Employees' Provident Fund, consisting of representatives of Government (Both Central and State), Employers, and Employees. It is one of the world’s largest organizations in terms of clientele and the volume of financial transactions undertaken by it. The Board is assisted by the Employees’ Provident Fund Organization (EPFO), which functions under Ministry of Labour and Employment. 10 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 →