2017 IDB Climate Finance Database
Metadata & use
| Identifier | https://doi.org/10.60966/3jqm-r146 |
|---|---|
| License | Creative Commons Attribution–NonCommercial–NoDerivs 3.0 IGO |
| Citation |
Yurivilca, Rossemary (2018). 2017 IDB Climate Finance Database. IDB Open Data. https://doi.org/10.60966/3jqm-r146 |
| Published date | 2018-10-03 |
| Modified date | 2026-07-15 |
| Tags/Keywords | Climate Change · Climate Finance · Sustainability |
| Language |
|
| In Series | IDB Climate Finance Data |
| Temporal coverage | 2017-2017 |
| Country |
Argentina
Bahamas
Barbados
Belize
Bolivia
Brazil
Canada
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Guatemala
Guyana
Haiti
Honduras
Jamaica
Mexico
Nicaragua
Panama
Paraguay
Peru
Suriname
Trinidad & Tobago
United States
Uruguay
|
| Region | Latin America and the Caribbean |
| Publisher |
Inter-American Development Bank
|
| Author |
Yurivilca, Rossemary
Inter-American Development Bank
|
| Data collection type | Administrative Data |
| Statistical type | Cross-sectional Data |
| Data structure | Structured Data |
| Data notes |
What is this dataset about?The 2017 IDB Climate Finance Database provides detailed data on the Inter-American Development Bank (IDB) Group’s climate-related financing during 2017. How much did the IDB Group invest in climate finance in 2017?In 2017, the IDB Group approved approximately $4.3 billion in climate finance, representing 29% of its total lending volume for the year. What are the main objectives of these investments?The 2017 portfolio focused on supporting projects that:
Which countries received the most climate financing in 2017?The top recipients of IDB climate finance in 2017 included:
Together, these countries accounted for the majority of total climate-related approvals, particularly in the energy and infrastructure sectors. What types of projects were financed?Projects were grouped into three main categories:
Major project themes included renewable energy, urban sustainability, and resilient agriculture. Which sectors received the most climate finance in 2017?The largest shares of financing went to:
Cross-cutting programs also supported institutional capacity building and climate policy reform. How were climate finance amounts estimated?All figures in the 2017 climate finance data follow the Joint Multilateral Development Bank (MDB) methodology for tracking climate finance. What are the limitations of the dataset?The dataset represents approved financing, not actual disbursements. How can this dataset be used?Researchers and policymakers can use the IDB Climate Finance 2017 data to:
The dataset is ideal for evidence-based analysis of the evolution of climate finance in Latin America and the Caribbean. |