This mapping tool was developed as part of the BRIDGE project co-funded by the International Development Research Centre (IDRC) and the Ministry of Foreign Affairs of the Netherlands through the Step Change initiative and implemented by ICLEI Africa. This tool is primarily intended for Cameroonian municipalities and climate change knowledge brokers/intermediaries. Its primary goal is to improve access to information on funding opportunities for locally-led adaptation projects, thereby enhancing the ability to identify and secure financial support for these initiatives. Designed as a dynamic resource, the tool can be updated with successive iterations and external contributions. This initial layer of mapping focuses on international public funding sources.
The BRIDGE project is supported by the Step Change initiative, funded by the Ministry of Foreign Affairs of the Netherlands and the International Development Research Centre (IDRC), Canada. The views expressed herein do not necessarily represent those of the Ministry of Foreign Affairs of the Netherlands, or of the International Development Research Centre (IDRC), Canada.
This work was carried out with the aid of a grant from:
Implemented by:
This is a participatory database providing a snapshot of the climate finance landscape in Cameroon. We invite you to contact us with any additions or adjustments needed.
Type of support: project funding, project execution
Funding approach: programmatic, project-based, procurement-based
Type of funding: grants
Budget for adaptation: sum of listed programmes budget: EUR 85,450,000
Resources referring to criteria & priorities:
This initial version of the tool is designed to be a practical, user-friendly resource for climate adaptation practitioners, enhancing the visibility of adaptation finance flows in Cameroon. It maps current and near-term local adaptation programmes and projects in Cameroon, as of 2024.
The tool follows a participatory and iterative approach. We invite collaborators to provide feedback and suggest adjustments and additions to the data.
