Collections - Dataful

CollectionHistorical Data of Goa Assembly Elections (1967 to 2022)This Collection contains datasets related to the performance of political parties by votes and seats, successful candidates, list of assembly constituencies and its reservation type, women candidates contested, list of political parties participated, candidates contested, forfeited deposits, nominations filed, rejected, withdrawn, type of electors and voters, the status of votes polled, polling dates, counting dates and dates of election results, constituency-wise electors per polling station, polling percentage, number of seats, constituency-wise votes secured, candidate name and political party name of winner and runner, candidates summary, constituency type-wise electors summary, constituency type-wise polling stations, poll percentage and electors per station for Goa Assembly Elections.17 datasetsView →

CollectionSustainable Development Goals: India's ProgressThe 17 Sustainable Development Goals are interconnected goals to address the global challenges faced by humanking, including those related to poverty, inequality, climate change, environmental degradation, peace and justice. These goals are to be achieved by 2030. In India, NITI Aayog is the nodal institution for achieving SDGs. Every year, since 2018, the institution publishes progress made towards these goals at national and state levels. This collection consists of datasets on composite scores of states and the performance of states with respect to each indicator under each goal.2 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 →

CollectionLivestock and Poultry Census (Global-, National-, State-, District- and Village-wise)The collection contains historically compiled master census data of Livestock Animals and Poultry Birds across different Countries and Regions of the World and in India, from the year 1956 to 2019. The livestock and poultry birds census data of India is further divided by village, ward, district and state categories, along with breed, age group and types of uses. The livestock animals and poultry birds covered in the datasets include Bovine, Buffalo, Cattle, Sheep, Goats, Mules, Donkeys, Mithun, Pig, Camels, Horses, Ponies, Yak , Cock, Hen, Chicken, Quail, Turkey, Layer, Broiler, Duck, Ducklings, Emu, Ostrich, etc. Further, the different types of uses of livestock animals and poultry birds census data is divided by include commercial and poultry usages such as Milk Production, Cart and Carriage, Sport, Breeding, Agriculture, Farm Operation, Draught, etc. 42 datasetsView →

CollectionLivestock and Poultry Commercial Usage - Products, Production, Imports, Exports and GDP (GVA) ContributionThis collection brings together year, state and breed wise data on livestock animals and poultry birds in India from 1951 to 2022, sourced from the Basic Animal Husbandry Statistics published by the Ministry of Fisheries, Animal Husbandry and Dairying. It covers the production of key livestock and poultry products such as milk, meat, eggs and wool, along with related indicators like per capita availability, numbers of animals slaughtered for meat, and land under pastures and grazing. The collection also includes data on livestock infrastructure and services, such as veterinary hospitals, clinics, first aid centres, breeding and hatching farms, and artificial insemination facilities. In addition, the datasets provide information on the contribution of livestock, poultry, agriculture and allied sectors to India’s Gross Domestic Product (GDP) and Gross Domestic Value Added (GVA). The livestock animals and poultry birds covered include cattle, bovine, buffaloes, sheep, goats, mules, donkeys, pigs, camels, horses, yaks, hen, chicken, quail, turkey, duck, ducklings, emu and other related species.47 datasetsView →