Insights Dashboard

Food Security Predictions & Climate Data for Uganda

Food Security Score
81/100

+5% from last month

Prediction Confidence
91%

High accuracy model

Average Rainfall
155mm

Current month average

Average Temperature
21°C

Optimal growing range

Live Weather - Kampala, Uganda
Real-time weather data from OpenWeatherMap

Temperature

21°C

Feels like 21°C

Condition

Rain

light rain

Humidity

85%

Wind Speed

8 km/h

5-Day Forecast

Sat

Rain

21°

18°

Sun

Rain

22°

17°

Mon

Rain

27°

17°

Tue

Clouds

27°

19°

Wed

Rain

28°

18°

Food Security Predictions (12 Months)
Monthly food security score and confidence levels
JanFebMarAprMayJunJulAugSepOctNovDec0255075100
  • Security Score
  • Confidence %
Regional Food Security Scores
Current food security levels across Uganda regions
CentralEasternWesternNorthern0255075100
  • Security Score
Climate Data Trends
Rainfall and temperature patterns over 12 months
JanFebMarAprMayJunJulAugSepOctNovDec05010015020008162432
  • Rainfall (mm)
  • Temperature (°C)
Climate Risk Distribution
Risk assessment across monitored regions
Low Risk: 35%Medium Risk: 45%High Risk: 20%
Crop Yield Analysis
Current vs. target yields (tons per hectare)
MaizeBeansCassavaSweet PotatoBanana05101520
  • Current Yield
  • Target Yield
Key Insights
Positive

Food security scores show a positive trend with a 5% increase from last month, indicating improved conditions across monitored regions.

Alert

Northern region shows lower food security scores (71/100). Targeted interventions and climate-smart practices recommended.

Opportunity

Rainfall patterns are favorable for the next quarter. Optimal time for planting maize and beans.

Climate Recommendations
Action

Implement water conservation strategies in areas with below-average rainfall to maintain soil moisture levels.

Advisory

Temperature trends remain within optimal growing range. Continue current crop management practices.

Planning

Consider crop diversification to mitigate climate risks. Sweet potato and cassava show resilience to variable conditions.

Data Sources: Predictions based on multi-modal machine learning models using geospatial data, climate patterns, and historical agricultural data. Model accuracy: 91% | Last updated: December 2025