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2020 IDB Climate Finance Database

By Climate Change Solutions Division (VPS/CSD/CCS)

Under the current IDBG Corporate Results Framework (CRF) 2020-2023 (https://crf.iadb.org/en), the IDB committed to reach 30% of the total amount approved (including all lending operations) of climate finance during this period. In 2020, the IDB Group - composed of the IDB, IDB Lab (formerly the Multilateral Investment Fund) and IDB Invest - approved US$3.9 billion in climate finance as per the MDB climate finance tracking methodology. This resource is aimed at development activities carried out by the public and private sectors that reduce greenhouse gas (GHG) emissions and thus mitigate climate change, and/or that reduce vulnerability to climate change and contribute to an adaptation process. This amount represented 19.5% of the IDB Groups total approved amount for 2020. The IDB only climate finance in 2020 was 15%, equivalent to US$ 2 billion. If the COVID-19 related investments are excluded, the IDB climate finance reached 30%. Changes in demand from countries to respond to the pandemic affected the overall climate finance results by shifting the priority to social and fiscal sectors and to projects that could provide faster liquidity.

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Metadata & use

Identifier https://doi.org/10.60966/t8jb-rv19
License Creative Commons Attribution–NonCommercial–NoDerivs 3.0 IGO
Citation

Almeida, Juliana, et al. (2021). 2020 IDB Climate Finance Database. IDB Open Data. https://doi.org/10.60966/t8jb-rv19
Published date 2021-04-14
Modified date 2026-06-15
Tags/Keywords Climate Change · Climate Finance · Climate Finance Methodology · Climate Target · Dataset
Language
  1. English
In Series IDB Climate Finance Data
Temporal coverage 2020-2020
Country
Argentina
Bahamas
Ecuador
El Salvador
Guatemala
Guyana
Haiti
Honduras
Jamaica
Mexico
Nicaragua
Panama
Barbados
Paraguay
Peru
Suriname
Trinidad & Tobago
Uruguay
Venezuela
Belize
Bolivia
Brazil
Chile
Colombia
Costa Rica
Dominican Republic
Region Latin America and the Caribbean
Publisher
Inter-American Development Bank
Author
Almeida, Juliana
Yurivilca, Rossemary
Data collection type Administrative Data
Data structure Semistructured Data

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