Saint Lucia Disaster Risk Management Cat DDO

About this project

The Disaster Risk Management (DRM) Catastrophe Deferred Draw Down Option (Cat DDO) for SLU is a stand-alone Development Policy Credit (DPC) operation for US20 million dollars to strengthen SLU's disaster and climate resilience. The Development Objective of the DRM Cat DDO is to support the Government of Saint Lucia's management of risks resulting from hydrometeorological and public health adverse events by strengthening (i) resiliency in physical and data infrastructure and (ii) financial resilience. The operation consists of two complementary pillars: pillar 1 enhances SLU's policy and institutional framework for DRM and climate resilience by making physical developments more disaster and climate-resilient. This will be achieved through improved regulations and establishing a National Spatial Data Infrastructure (NSDI) Policy to support the availability, quality, and use of disaster and climate-related geospatial data. Pillar 2 supports financial resilience against natural hazards and climate change by strengthening the institutional framework for disaster risk finance (DRF) and better managing public assets and post-disaster expenditures. The operation is expected to deliver transformative developmental benefits through robust citizen and stakeholder engagement, underpinned by World Bank technical assistance and strategic partnerships. The operation also aligns fully with SLU's Medium-Term Development Strategy 2023-26. Led by the Ministry of Finance, Economic Development,…

Published by

World Bank · Multilateral

Countries

St. Lucia

Sectors

Multi-hazard response preparednessUrban land policy and management

Places

Castries

Funded by

International Development Association

Implemented by

Ministry of Finance, Economic Development and Youth Economy

Accountable

Saint Lucia

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-P181432.

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