Scale Index-Based Flood Insurance (IBFI) for smallholder farmers in Zambia's flood-prone Southern Province
Executive Summary
IBFI pilot covered three villages at the lower Magoye Catchment — first of its kind in Zambia. Each participating farmer received ~K1,786 (USD 64) sum insured; 150-day cover November 2024–March 2025. Farmers across all camps indicated willingness to pay K200–K400 premium. Report recommends scaling IBFI across Zambia and sub-Saharan Africa with flood model refinement.
This signal falls under the Maize, mixed crops / agricultural risk finance sector in Zambia, classified as a Innovation Demand, Scaling Demand, Financing/Investment Demand — indicative of a systemic gap requiring coordinated institutional response.
Core demand gap identified: Flood index insurance is largely absent in sub-Saharan Africa; the first Zambia pilot demonstrated demand and feasibility but reaches only three villages, leaving the majority of flood-prone smallholder farmers without financial protection against recurring flood losses.
Impact areas intersected: Climate Adaptation & Mitigation, Poverty Reduction, Livelihoods & Jobs. Key indicator: Sum insured: ~USD 64/farmer; willingness to pay: USD 7–14 premium; 4 payout tiers (25%, 50%, 75%, 100% coverage).
Top Evidence Points
- →IBFI pilot covered three villages at the lower Magoye Catchment — first of its kind in Zambia. Each participating farmer received ~K1,786 (USD 64) sum insured; 150-day cover November 2024–March 2025. Farmers across all camps indicated willingness to pay K200–K400 premium. Report recommends scaling IBFI across Zambia and sub-Saharan Africa with flood model refinement.
- →Key indicator: Sum insured: ~USD 64/farmer; willingness to pay: USD 7–14 premium; 4 payout tiers (25%, 50%, 75%, 100% coverage)
- →Demand gap: Flood index insurance is largely absent in sub-Saharan Africa; the first Zambia pilot demonstrated demand and feasibility but reaches only three villages, leaving the majority of flood-prone smallholder farmers without financial protection against recurring flood losses.
- →Signal ranks #3 of 28 signals tracked in Zambia · Theme recurs across 2 years
Investment Implications
The signal's high priority classification (score 94/100) and high evidence base position Zambia as an actionable investment context. Ranking #3 of 28 signals in Zambia, this represents one of the highest-priority opportunities in the current portfolio.
Addressing the demand captured in this signal requires coordinated action across government, CGIAR research partners, and development finance institutions active in Zambia. Blended finance structures can reduce implementation risk and mobilise private sector participation at scale.
Research Needs
- 1.Baseline assessment to quantify and confirm the demand gap: Flood index insurance is largely absent in sub-Saharan Africa; the first Zambia pilot demonstrated demand and feasibility but reaches only three villages, leaving the majority of flood-prone smallholder farmers without financial protection against recurring flood losses.
- 2.Stakeholder mapping and willingness-to-invest study in target Mazabuka District, Southern Province geographies
- 3.Climate scenario and risk modelling for the intervention area through 2030
- 4.Monitoring & evaluation framework design for proposed interventions
- 5.Cross-country learning synthesis from comparable CGIAR programmes addressing Financing & insurance mechanisms
Recommended Actions
Commission a rapid feasibility assessment for priority interventions addressing Financing & insurance mechanisms in Zambia. Allocate co-financing in the next national budget cycle.
Deploy field research team for needs assessment and evidence verification in Zambia. Publish findings as an open-access technical brief for investor and government use.
Structure concessional facility to anchor private co-investment. Engage AFDB, World Bank, and IFAD via the Catalyst Lab investment pipeline dashboard for Zambia.
Signal verified against IWMI QA Protocol v3.2. Confidence score incorporates source diversity index, temporal recency weighting (half-life: 18 months), and geographic specificity.
Scheduled re-verification: September 2026. Signal classification will be updated if new evidence materially changes the evidence weight or priority ranking.
IWMI Analytics Team · Catalyst Lab Platform. Contact the platform administrator to request a signal dataset export or co-investor briefing pack.