2022 IDB Climate Finance Database
Metadata & use
| Identifier | https://doi.org/10.60966/2bjk-8h91 |
|---|---|
| License | Creative Commons Attribution 4.0 International |
| Citation |
Morandi, Paula, et al. (2023). 2022 IDB Climate Finance Database. IDB Open Data. https://doi.org/10.60966/2bjk-8h91 |
| Published date | 2023-09-05 |
| Modified date | 2026-07-15 |
| Tags/Keywords | Climate Change · Climate Change Adaptation · Climate Change Mitigation · Climate Finance · Climate Resilience · Paris Agreement |
| Language |
|
| In Series | IDB Climate Finance Data |
| Temporal coverage | 2022-2022 |
| Country |
Argentina
Bahamas
Barbados
Belize
Bolivia
Brazil
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Guatemala
Guyana
Haiti
Honduras
Jamaica
Mexico
Nicaragua
Panama
Paraguay
Peru
Suriname
Trinidad & Tobago
Uruguay
Venezuela
|
| Region | Latin America and the Caribbean |
| Publisher |
Inter-American Development Bank
|
| Author |
Morandi, Paula
Lewis, Amy
|
| Data collection type | Administrative Data |
| Data structure | Semistructured Data |
| Data notes |
How much did the IDB Group invest in climate finance in 2022?In 2022, the IDB Group committed approximately $5.9 billion in climate finance, representing 33% of total approvals for the year. What are the main objectives of these investments?The IDB climate finance 2022 portfolio focused on three core goals:
Which countries received the most climate financing in 2022?The top recipients of IDB climate finance in 2022 included:
These countries led regional efforts in renewable energy, sustainable cities, and climate-smart agriculture. How is the 2022 dataset structured?The dataset is divided into:
How does this year compare with previous years?Compared with 2021, total climate finance data show continued growth in adaptation and resilience projects, particularly in urban development and natural resource management. What methodology was used to track climate finance?All figures follow the Joint Multilateral Development Bank (MDB) methodology for tracking climate finance. What sectors received the most financing in 2022?The largest shares of climate finance were allocated to:
What are the limitations of the dataset?Users should note that:
How can this dataset be used?Researchers, analysts, and policymakers can use the IDB Climate Finance 2022 dataset to:
What is climate finance data and why is it tracked?Climate finance data represents financial resources committed to projects that mitigate or adapt to climate change. In the 2022 IDB dataset, it refers to MDB financing allocated to development operations that reduce emissions or improve resilience in Latin America and the Caribbean. What are the climate finance tracking mechanisms and definitions?The dataset uses the Joint MDB Climate Finance Methodology, which assigns percentages of financing to mitigation, adaptation, or dual objectives. Climate finance is defined as funding that enables climate-related activities in developing and emerging economies. What are the major gaps and limitations in current climate finance reporting?The dataset highlights that results reflect compiled data and may not represent full institutional views. It also focuses on approved amounts rather than real-time disbursements or impact outcomes. How is climate finance data collected from international financial institutions?The dataset compiles project-level financial information, including approved amounts, lending instruments, and climate finance shares based on MDB methodology. What is the difference between public vs private climate finance data sources?The dataset includes both internal and external funding classifications and distinguishes between lending instruments and funding origins. How do climate finance data for adaptation vs mitigation projects compare?The dataset separates financing into mitigation, adaptation, and dual categories using percentage allocations and dollar values per project. What is the regional climate finance data for the Global South?The dataset focuses specifically on Latin America and the Caribbean, covering countries such as Brazil, Mexico, Colombia, Peru, and Caribbean nations. How can policy makers use climate finance data to inform national budgets?Policy makers can analyze country-level allocations, sector distribution, and financial instruments to align national spending with climate priorities. What is the breakdown of climate finance data by financial instrument: grants, concessional loans, and equity?The dataset includes variables such as lending instrument, funding source, and approved amount, allowing classification of finance by instrument type. How can developing nation policy makers track climate finance inflows more effectively?They can track inflows using variables such as country, approved amount, climate finance share, and sector classification within the dataset. What is the role of multilateral development banks (MDBs) in harmonizing climate finance reporting standards?The dataset demonstrates MDB harmonization by applying the Joint MDB Climate Finance Methodology across all projects. |