CAR Inclusive and Resilient Cities Project

About this project

The proposed additional finance will enhance the impact of the project by increasing investments nature-based solutions to further reduce the risk of flooding and erosion while providing co-benefits to local populations. Additional finance will provide a crucial additional financing to integrate NBS and combine them to grey infrastructure identified in Bangui and Berberati. The nature of interventions proposed will vary based on local needs and may cover actions such as local retention basins, agroforestry and urban agriculture, as well as capacity building for local activities (e.g., fisheries or silvopastoral activities). The proposed LDCF funded intervention will further increase the rainwater run off retention capacity in Bangui and Berberati, which in turn is expected to lower the risk of flooding and soil erosion. In addition to climate risk reduction, LDCF funded activities will provide biodiversity benefits well as contributing to socioeconomic benefits like food security and health. The additional finance will also contribute to improving integrated and sustainable urban planning and management with the integration of NBS. To address the climate-fragility nexus, the proposed project will provide necessary capacity building to plan, execute, and monitor the integration of grey and green infrastructure interventions. Per GEF STAP guidance[1], a coherent approach to mitigate climate change vulnerability and drivers of conflict will be developed through climate-risk-inf…

Published by

World Bank · Multilateral

Countries

Central African Republic

Sectors

Local government administrationMulti-hazard response preparedness

Places

Bangui

Funded by

International Development Association

Implemented by

Ministry of Urban Development, Land Reform and Housing

Accountable

Central African Republic

Passes funds through

International Development Association

Published by World Bank to the International Aid Transparency Initiative (IATI), last updated 3 Oct 2026 and imported automatically. IATI identifier: 44000-P178774.

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