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Collections - Dataful
Collections
Related datasets bundled by topic, one place for a whole line of questioning.
8 of 501 collections
Collection
RTO, Vehicle Maker (Manufacturer), Vehicle Category Group and Vehicle Category-wise Total Number of Vehicles Registered in each State
This 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 Vehicle
36 datasets
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Collection
RTO, Vehicle Maker and its Category-wise Vehicles Registered in Each State
This 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 datasets
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Collection
BSE and NSE Indices
This collection provides a comprehensive statistical overview of daily market performance across India's two primary stock exchanges: the Bombay Stock Exchange (BSE) and the National Stock Exchange (NSE). By consolidating day-wise trading metrics such as Open, High, Low, Close, Turnover Amount, and Shares Traded, the collection tracks the volatility, liquidity, and overall trajectory of various market indices. It also integrates key fundamental valuation metrics, including Price-to-Earnings (P/E) and Price-to-Book (P/B) ratios for BSE indices. Together, these datasets offer granular insights into market sentiment and valuation, helping investors, researchers, and analysts evaluate historical trends, sectoral momentum, and broad economic health. Bombay Stock Exchange (BSE) and National Stock Exchange (NSE) are the leading financial exchanges in India. An index on these exchanges (such as the BSE Sensex or NSE Nifty 50) is a statistical aggregate that measures the performance of a selected basket of stocks. These indices act as barometers for the broader equity market, reflecting the collective performance of key sectors or the overall economy.
2 datasets
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Collection
Fiscal Health Index
This collection contains the year-wise ranking of states in the Fiscal Health Index compiled by NITI Aayog. It also has the dataset on the average score in different sub-indices for various states for two time-periods: Average from 2014-15 to 2018-19 and Average from 2014-15 to 2021-22.
2 datasets
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Collection
Balance of Payments
Balance of Payments (BoP) systematically summarises, for a specific period, the economic transactions of an economy with the rest of the world. The BoP can be broadly divided into two accounts namely, (a) current account, and (b) capital and financial account. The current account measures the transfer of real resources (goods, services, income and transfers) between an economy and the rest of the world. The capital and financial account reflects the net changes in financial claims on the rest of the world.
4 datasets
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Collection
Child Immunization (Vaccination)
This Collection contains datasets on year, state and district wise total number of children of age 9-12 months fully immunized A fully immunized child is one who has received all vaccines recommended in the National Immunization Schedule in required doses, before completing one year of age. For the purpose of monitoring and evaluating the programme, a child below 1 year of age who has received one dose of BCG, Measles/MR along with 3 doses of OPV, Pentavalent Vaccine and two doses of IPV is said to be fully immunized. However, for the purpose of the programme and to ensure that the child is completely protected, all other vaccines applicable to a child below one year of age should be provided as per the immunization schedule, like PCV (3 doses), RVV (3 doses), JE (1 dose), wherever applicable.
2 datasets
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Collection
National Multidimensional Poverty Index
The 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 datasets
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Collection
ESG data from BRSR
The 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 datasets
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