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Good practice Imported

Index-Based Livestock Insurance Programme (IBLIP) — Dzud & Drought Payouts for Mongolian Herders

Mongolia · Ulaanbaatar · See the Mongolia profile · See the Ulaanbaatar profile

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

Mongolia's government, with World Bank support, built an Index-Based Livestock Insurance Programme that pays herders once satellite-tracked livestock mortality in their district crosses a 6% threshold after dzud (extreme winter) or drought; by 2009 all 2,117 eligible herders were

2,117 herders
Herders receiving indemnity payments (2009-2010 dzud season) (2009-2010)
14,000+ policies
Policies sold (founding aimags, cumulative growth)
6 % livestock mortality
District-level mortality payout trigger threshold (ongoing)
Index-Based Livestock Insurance Programme (IBLIP) — Dzud & Drought Payouts for Mongolian Herders

Details

Maturity
Established
Promoter
Government of Mongolia (Financial Regulatory Commission); World Bank
Period
2006-2014
Keywords
index-based insurance, drought and dzud resilience, pastoral rangeland management, climate risk finance

Context

Dzud — a compound climate disaster combining summer drought with catastrophic winter cold and snow — periodically kills millions of livestock across Mongolia's rangelands. Starting with a 2005-2006 pilot in three (later four) aimags (provinces), the Government of Mongolia worked with the World Bank to design the Index-Based Livestock Insurance Programme (IBLIP): payouts are triggered automatically once an independently measured district-level livestock mortality rate crosses a 6% threshold, removing the need for costly farm-by-farm loss verification and cutting payout delays.

Activities

The programme was institutionalized as a permanent national scheme in 2014. A peer-reviewed hazard-return-interval study (Rao et al., Natural Hazards and Earth System Sciences, 2022) has since used the same mortality-index approach to characterize how climate change is altering the frequency of dzud-triggering conditions, reinforcing the index's ecological grounding.

Results

By the 2009-2010 dzud season, all 2,117 herders who held eligible policies received indemnity payments, and policy sales grew year on year in the founding aimags, surpassing 14,000 policies sold as herder confidence in the product grew.

Conclusions

Because payouts arrive before herders are forced into distress destocking or emergency overgrazing of drought-stressed pasture, the scheme is credited by its designers with an indirect rangeland-protection effect, though this pathway has not been directly measured with pasture-condition data specific to Mongolia; the mechanism is a financial-risk instrument rather than a direct ecosystem intervention, so its ecological evidence base remains considerably thinner than its financial-uptake evidence.

Implementation

Indicative cost
Medium (€50k–€500k) — Index-based insurance product design and administration via the Government of Mongolia's Financial Regulatory Commission with World Bank support; no total programme budget figure is given in the source.
Time to results
Long (> 3 years) — Piloted 2005-2006 in three, later four, aimags; nationally institutionalised as a permanent scheme in 2014.
Staffing & skills
Government of Mongolia (Financial Regulatory Commission), World Bank (technical design support)

Conditions for success

  • An index-based trigger (district mortality above 6%) removes the need for costly farm-by-farm verification
  • Automatic payouts arrive before distress destocking occurs
  • A multi-year pilot (2005-2006, three-then-four aimags) preceded national scale-up
  • Growing herder confidence built through a track record of paid claims

Common failure modes

  • The credited rangeland-protection pathway is inferred by design rather than directly measured for Mongolia
  • Ecological evidence is considerably thinner than the programme's financial-uptake evidence

Where it fits

Governance type
national government with World Bank technical assistance
Scale
national (piloted in 3-4 aimags, scaled nationally by 2014)
Income level
lower-middle-income (Mongolia)

Commonly funded by

National / regional programmes

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

Where this practice's information was retrieved from, and when.

Attachments

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