About the Research:
As part of its mission to inform sector strategy through credible research and data, the Centre for Social Impact and Philanthropy commissioned the ‘Estimating Philanthropic Capital in India’ research project to map the volume, value, composition, and trends of the financial resources available in the Indian philanthropic sector. The study used a quantitative approach and analysed publicly available data on financial flows into the sector as a whole. How India Lives, a data analytics consulting firm specialising in identifying, extracting and analysing publicly available data, was commissioned to undertake this study.
Access the Datasets:
For the purpose of this study, Indian philanthropic capital was classified into four categories, namely:
Additionally, a database of tax-exempt institutions (as of April 2018) registered with the Income Tax department is also available.
The datasets are saved in excel formats (.CSV and .XLSX). These are accompanied by a Data Variable Dictionary describing the key variables which can be accessed HERE. The data is open for academicians, researchers, and sector stakeholders to analyse the trends in philanthropic flows across geography and thematic areas.
Government Philanthropy dataset
Individual Philanthropy dataset
Corporate Philanthropy dataset
Income Tax dataset
UPDATED OCTOBER 2020: Foreign Philanthropy (FCRA) dataset
Documentation
Data Source:
Publicly available data were extracted for each of these categories. In-depth data on Corporate, Foreign, and Government philanthropic contributions are available on Government websites. Data on individual donations (both by ordinary and high net-worth individuals) is available only at an aggregate level, for all individuals who claim for tax exemptions under Section 80G of the Income Tax Act.
Data Period:
Key Contact:
We are very interested to learn about other secondary analysis of our data and any forthcoming publications that may arise from the use of these datasets. Please contact csip@ashoka.edu.in to share how this data may have been valuable for your work, and for any additional information on the research.