Collections - Dataful

CollectionMaster Collection: Data of indicators (Maternal Health, Immunization, Family Planning, etc.) under Health Management Information System (HMIS)This Collection contains datasets related to indicators-wise data related to Family Planning, Maternal Health, and Immunization under HMIS for for all States. Each Dataset also contains age-group and rural and urban facility wise data.40 datasetsView →

CollectionYear and Sub-District-wise data for all HMIS indicators for each District of the StateThis Collection contains datasets related to Year and Sub-District wise data for all the indicators related to Family Planning, Maternal Health, and Immunization under HMIS for each district of All States. Each dataset also has data at different levels of facilities like Public, Private, Rural and Urban and at different age group levels895 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 →

CollectionUSA Students Studying Abroad (Open Doors Report)The collection contains historically compiled data from the year 1989-90 on United Nations of America (USA) Students who are enrolled in educational institutions in other countries for pursuing different fields of studies. The specifics of data contained in the collection include Academic-year-wise number of international students who are enrolled in different regions and countries for pursuing different programmes and fields of study such as Agriculture, Natural Resources and Conservation, Communication, Journalism, Communications Technologies/Technicians, Construction Trades, Engineering, Engineering Technologies/Technicians, Mechanic and Repair Technologies/Technicians, Military Technologies, Precision Production, Transportation and Materials Moving, Architecture, Visual and Performing, Arts, Health Professions, Residency Programs, English Language and Literature/Letters, Foreign Languages, Literatures and, Linguistics, Philosophy and Religious Studies, Theology and Religious Vocations, Homeland Security, Law Enforcement, and Firefighting, Legal Professions and Studies, Computer and Information Sciences, Mathematics and Statistics, Basic Skills, Family and Consumer Sciences/Human Sciences, Liberal Arts and Sciences/General Studies, Library Science, Multi/Interdisciplinary Studies, Parks, Recreation, Leisure and Fitness Studies, Personal and Culinary Services, Reserve Officer Training Corps, Biological and Biomedical Sciences, Physical Sciences, Science Technologies/Technicians, Area, Ethnic, Cultural and Gender Studies, History, Psychology, Public Administration and Social Service Professions, Social Sciences, Family and Consumer Sciences/Human Sciences, etc.6 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 →

CollectionEthanol Blending and Procurement StatisticsThis collection of datasets provides a comprehensive overview of India's ethanol sector and the Ethanol Blended Petrol (EBP) programme. It includes detailed year-wise and state-wise statistics on ethanol procurement by Public Sector OMCs, overall blending percentages, and company-specific blending data. Additionally, the collection covers ex-mill ethanol prices categorized by raw material, alongside a complete state-wise list of approved proposals under various ethanol interest subvention schemes from 2018 to 2022.8 datasetsView →