Disbursements from 157 DAC and non-DAC donors between 2010 and 2021 as captured by the OECD CRS Database. Aggregated by year, donor, and recipient.
Burgess, B., Bengtson, A., and B. Lautenslager. (2023). Financing the 2030 Agenda for Sustainable Development, Version 1.0. Williamsburg, VA. AidData. Accessed at http://aiddata.org/sdg
Date Published
AidData’s Financing the 2030 Agenda for Sustainable Development Dataset Version 1.0 provides aggregated data on Official Development Assistance (ODA) and Other Official Flow (OOF) commitments to the 17 Sustainable Development Goals (SDGs). This release builds on the previous iteration of the SDG coding methodology released in November 2017 (Estimating Baseline Aid to the Sustainable Development Goals). This release uses novel machine learning tools to automate this methodology and expand coverage through 2021.
AidData’s Autocoding Finance to the Sustainable Development Goals methodology is based on an analysis of ODA project descriptions and involves four steps: (1) a mapping between first-level activities and SDG targets; (2) training a text-classification tool leveraging three text-classification models on a dataset where this mapping has been hand-coded, then processing new data with this tool; (3) splitting an aid project across designated activities; and (4) splitting the dollar value of an aid project across the associated goals. These steps allow us to estimate the total aid at the goal level for each of the SDGs.
The dataset was developed by AidData with the generous support of the William and Flora Hewlett Foundation.
