Collections

The collection contains historically compiled master data on the Non-Governmental Organizations (NGOs), as disclosed on the website of NGO-Darpan The specifics of data contained in the datasets include Year- and District-wise names of NGOs registered in India, along with details such as their Registration Number, including Foreign Contribution Regulation Act (FCRA) registration number, the names of places in which they are registered and operating, the funding sources, along with names of the funding agencies, the different fields in which the NGOs are working, etc. The different fields of NGOs work covered in the dataset include Animal Husbandry - Dairying and Fisheries, Children, Civic Issues, Dalit Upliftment, Disaster Management, Drinking Water, Education and Literacy, serving Aged/Elderly, Environment, Health, Family Welfare, Human Rights, Land and Labour, Minority Issues, Nutrition, Prisoner's Issues, Right to Information and Advocacy, Tribal Affairs, etc. Notes: 1. The NGO-DARPAN started out as an initiative of the Prime Minister's Office, to create and promote a healthy partnership between VOs/NGOs and the Government of India. The Portal is managed at present by NITI Aayog 2. The information provided on the Darpan portal is based on the information which is voluntarily disclosed by the NGOs on the same portal. Therefore, the NGO data provided on the same portal and the datasets is not based on survey, verification, compilation and disclosed by the government, but the information voluntarily disclosed on the website. 3. The names of NGOs and the funding sources in the Raw Data are voluminous in number. Hence, they are provided as they are given in the Raw Data, since it is not possible to standardize them.

This collection contains datasets related to Finance from the NITI Aayog

This collection contains datasets related to Social Development from the NITI Aayog

This collection contains datasets related to Census and Surveys from the NITI Aayog

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.

The 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.

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.

This collection contains datasets related to Banking from the NPCI

This collection contains datasets related to Finance from the NPCI

The collection contains uptime and downtime statistics for different financial services such as UPI,APES, IMPS etc

The collection contains dataset related to biller banks and customer banks names and total number that are live on different financial services like UPI,Bharat Bill Pay etc

This Collection contains year, month and bank wise volume of NETC FASTag Transactions, percentage of the transaction processed within 2 minutes of the toll plaza transaction reader's read time and Toll Plaza wise Value and Volume of Fastag Transactions