Data analytics and risk analysis of Kenya’s maize yields (2000–2023) using FAOSTAT data. Explores yield trends, volatility, downside risk, Yield-at-Risk (90% & 95% Confidence Intervals ) and national yield loss implications for food security and policy.
# Yield at Risk Analysis of Kenya’s Maize Production (2000–2023)
This project analyses Kenya’s maize yield performance from a data analytics,
statistical risk and food security perspective.
Tools used:
- SQL (PostgreSQL)
- Power BI
- Excel (light preprocessing)
Key focus areas:
- Yield trends and volatility
- Downside risk and loss severity
- Yield at Risk (90% and 95%)
- National yield loss estimation
Data source: FAOSTAT (updated Dec 22, 2025)
Work in progress.
© 2026 Victor Kibirir - Kenya Maize Yield Risk Analysis Project