Strengthening the resilience of vulnerable communities within high climatic and disaster risk areas in Togo.

About this project

The overall objective of this project is to improve preparedness capacities of national institutions and build resilience of local communities to climate change and disaster risks. Specifically, it seeks to: (i) to have a better understanding of disaster risk; (ii) to strengthen governance, preparedness and recovery to better manage disaster risk; and (iii) to make investments in disaster risk reduction for resilience. To achieve these objectives, the project is structured around three (3) components: COMPONENT 1: KNOWLEDGE AND UNDERSTANDING OF DISASTER RISKS This component is part of the process of creating an enabling environment for effective operationalisation of the Early Warning System as part of disaster risk reduction in Togo. It is based on the fact that disaster risk management policies and practices should be informed by an understanding of disaster risk in all its dimensions: vulnerability, capacities and exposure of people and property, disaster characteristics and the environment. This knowledge can be used to conduct pre-disaster risk assessments, take preventive and mitigation measures and develop and implement appropriate disaster preparedness and response arrangements. This component targets (2) outcomes: Outcome 1: Knowledge of disaster risks is increased The main activities to be carried out include: (i) establishing platforms for knowledge exchange and sharing on DRR and CC; (ii) developing and disseminating guides on EWS best practice; (iii) Developing…

Published by

Green Climate Fund · Multilateral

Countries

Togo

Sectors

Multisector aid for basic social servicesBiodiversityDisaster Risk ReductionSocial Protection

Focus

Climate adaptation · Main focus

Funded by

Green Climate Fund

Implemented by

Banque Ouest Africaine de Développement (West African Development Bank)

Published by Green Climate Fund to the International Aid Transparency Initiative (IATI), last updated 1 Jul 2026 and imported automatically. IATI identifier: XM-DAC-41317-SAP048.

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