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african-crop-insurance-payouts
Synthetic dataset of agricultural index-insurance payouts across 12 Sub-Saharan African countries. Parameters calibrated from IBLI (Kenya/Ethiopia), WFP R4, and ACRE Africa programs.
1.0.0
2026-03-21T00:31:40.633780Z
CC-BY-4.0
{ "baseline": "Current-state parameters based on existing IBLI/R4/ACRE programs", "expanded_index_insurance": "Scaled enrollment via subsidy and mobile distribution (ACRE model)", "climate_shock": "Increased drought frequency reflecting IPCC AR6 projections for SSA" }
[ "Kenya", "Ethiopia", "Tanzania", "Malawi", "Zambia", "Zimbabwe", "Mozambique", "Senegal", "Ghana", "Nigeria", "Rwanda", "Uganda" ]
[ "maize", "wheat", "sorghum", "rice", "cassava" ]
[ "index_based", "area_yield", "weather_derivative" ]
[ "long_rains", "short_rains" ]
[ "Jensen & Barrett (2016) AJAE - IBLI basis risk analysis", "WFP R4 Rural Resilience Initiative reports (2018-2023)", "ACRE Africa scaling data (GIIF 2016, IFC 2014)", "Ntukamazina et al. (2017) J. Agr. Rural Develop. Trop. Subtrop.", "IPCC AR6 WGII Chapter 9 - Africa climate projections" ]
{ "record_id": "Unique integer identifier", "country": "Country name", "year": "Calendar year (2015-2024)", "season": "Growing season (long_rains / short_rains)", "crop_type": "Insured crop (maize/wheat/sorghum/rice/cassava)", "insurance_type": "Product type (index_based/area_yield/weather_derivative)", "...
{ "premium_rates": "IBLI: 5.5%/3.25% of insured value; R4: 10-15% farmer contribution", "payout_trigger": "IBLI: NDVI < 15th percentile; ACRE: yield < 80% of average", "basis_risk": "Jensen et al. 2016: IBLI reduces covariate risk by 63%, residual 69%", "enrollment": "R4: ~180K farmers (2020); ACRE: ~400K farme...

⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.

African Crop Insurance Payouts

Synthetic dataset of agricultural index-insurance payouts across 12 Sub-Saharan African countries (30,000 records). Parameters are calibrated from real-world programs including IBLI (Kenya/Ethiopia), WFP R4 Rural Resilience Initiative, and ACRE Africa.

Dataset Description

Scenarios

Scenario Description
baseline Current-state parameters reflecting existing IBLI/R4/ACRE enrollment and payout patterns
expanded_index_insurance 2.5× enrollment scaling via premium subsidy and mobile distribution (ACRE model)
climate_shock +15 percentage point drought probability shift reflecting IPCC AR6 projections for SSA

Each scenario contains ~10,000 records.

Countries

Kenya, Ethiopia, Tanzania, Malawi, Zambia, Zimbabwe, Mozambique, Senegal, Ghana, Nigeria, Rwanda, Uganda

Variables

Variable Type Description
record_id int Unique identifier
country str Country name
year int Calendar year (2015–2024)
season str Growing season (long_rains / short_rains)
crop_type str maize / wheat / sorghum / rice / cassava
insurance_type str index_based / area_yield / weather_derivative
scenario str Policy scenario
enrolled_hectares float Hectares covered (0.2–20)
premium_paid_usd float Premium in USD
ndvi_anomaly float NDVI z-score (negative = vegetation deficit)
rainfall_deficit_pct float Percentage below normal rainfall
yield_loss_pct float Estimated yield loss (0–100%)
payout_triggered bool Whether index triggered a payout
payout_amount_usd float Payout disbursement in USD
payout_ratio float Payout as fraction of insured value
farmer_count int Farmers in the micro-cohort
enrollment_rate float Regional enrollment rate (0–1)
lapse_rate float Policy non-renewal rate (0–1)
basis_risk_score float Residual unhedged risk (0 = perfect, 1 = none)

Parameter Calibration

Key parameters are drawn from published literature and program reports:

  • Premium rates: IBLI charges 5.5%/3.25% of insured value for upper/lower Marsabit; R4 farmers contribute 10–15% of premium in cash or labor (WFP 2019)
  • Payout trigger: IBLI indemnifies when cumulative NDVI deviation falls below the 15th percentile of historical conditions (ILRI 2013); ACRE triggers when area yield falls below 80% of historical average
  • Basis risk: Jensen et al. (2016, AJAE) find IBLI reduces covariate risk by 63% but leaves policyholders with 69% of original risk from high-loss events
  • Enrollment: R4 reached ~180,000 insured households in 2020 across 10 countries (WFP 2020); ACRE reached ~400,000 farmers by 2015 (GIIF 2016)
  • Climate projections: IPCC AR6 WGII projects increased drought frequency across the Sahel and East Africa through 2050

Sources

  1. Jensen, N.D. & Barrett, C.B. (2016). "Index Insurance Quality and Basis Risk." American Journal of Agricultural Economics, 98(5), 1450–1469.
  2. WFP (2023). R4 Rural Resilience Initiative Annual Report.
  3. ACRE Africa / GIIF (2016). Scaling agricultural insurance in East Africa.
  4. Ntukamazina, N. et al. (2017). "Index-based agricultural insurance products in SSA." J. Agr. Rural Develop. Trop. Subtrop., 118(2), 171–185.
  5. IPCC (2022). AR6 WGII, Chapter 9: Africa.

Usage

from datasets import load_dataset
ds = load_dataset("electricsheepafrica/african-crop-insurance-payouts")

License

CC-BY-4.0

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