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Good practice Imported

Kenya's Satellite-Triggered Index-Based Livestock Insurance (IBLI), Marsabit

Kenya · Marsabit · See the Kenya profile

Evidence: Observational / pre–post Top 89% 27/100 · Ask Evidence Copilot about this practice

Since 2010, ILRI and Cornell's Index-Based Livestock Insurance has used NASA satellite NDVI data to trigger drought payouts for Kenyan and Ethiopian pastoralists before herds starve. By 2015, Kenya had sold 7,454 policies and paid $118,170 to 3,011 herders.

7,454
Policies sold in Kenya (by 2015) (by 2015)
118,170 USD
Compensation paid to Kenyan policyholders (by 2015) (by 2015)
3,011
Kenyan policyholders compensated (by 2015) (by 2015)
~215 million KSh
KLIP payouts after 2016/17 drought
12,064
Pastoralists receiving KLIP payouts
Kenya's Satellite-Triggered Index-Based Livestock Insurance (IBLI), Marsabit

Details

Maturity
Scaling
Promoter
International Livestock Research Institute (ILRI) & Cornell University, with commercial insurance partners
Period
2010–present
Keywords
pastoralism, agriculture, insurance, drought resilience, remote sensing

Context

Launched in Marsabit County in January 2010 by the International Livestock Research Institute (ILRI), Cornell University, Equity Bank and UAP Insurance, Index-Based Livestock Insurance (IBLI) was the world's first livestock insurance product for remote pastoralists, designed to pay out before drought kills animals rather than compensating after the fact.

Activities

Instead of assessing individual herds, IBLI uses NASA's satellite-derived Normalized Difference Vegetation Index (NDVI) to estimate forage availability; when the index falls below a locally calibrated threshold linked to an ILRI/Cornell econometric model of the NDVI-mortality relationship (built from 2012), all policyholders in that area automatically receive a payout, regardless of individual losses.

Results

By 2015 the ILRI-led scheme had expanded to five counties in Kenya and one zone in Ethiopia, selling 7,454 policies and paying $118,170 in compensation to 3,011 Kenyan policyholders, alongside 2,613 policies and $30,836 paid to 523 herders in Ethiopia; from 2015, roughly 100 pastoralists began contributing smartphone-based ground-truth vegetation readings to improve satellite-map accuracy. A parallel Kenyan-government scheme built on the same model, the Kenya Livestock Insurance Programme (KLIP), reported triggering payouts of close to KSh 215 million to 12,064 pastoralists after the severe 2016/17 drought.

Conclusions

The mechanism is well replicated and academically documented, but its ecological evidence base is narrower than its financial one: published sources document policy uptake, payout accuracy and household welfare effects, not independently measured rangeland vegetation or soil-condition outcomes, so its benefit to grazing-land health remains plausible rather than demonstrated.

Implementation

Indicative cost
Medium (€50k–€500k) — Insurance-premium-funded model with research-institute design support; KLIP payouts reported in KSh, IBLI payouts in USD.
Time to results
Long (> 3 years) — Launched January 2010; expanded by 2015; KLIP triggered major payouts after the 2016/17 drought.
Staffing & skills
International Livestock Research Institute (ILRI), Cornell University, Equity Bank, UAP Insurance, Kenyan government (KLIP)

Conditions for success

  • Satellite-derived index (NDVI) removing the need for individual herd assessment, lowering administrative cost
  • Automatic area-based payout triggering before drought kills animals rather than compensating after
  • Government adoption of the same model at larger scale (KLIP)

Common failure modes

  • Ecological evidence base (rangeland/soil-condition outcomes) is narrower than the financial/uptake evidence base

Where it fits

Governance type
research-institute-led product later adopted by government
Scale
multi-county (Kenya), extended to Ethiopia
Income level
low-income

Commonly funded by

National / regional programmes

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Data sources

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