Latest Prices Summary for
As of 2026-03-25, the average retail market price for dry maize in SOM stands at 37.98 USD per 90kg, slightly higher than the seven-day average of 39.06 USD. Considering the last years' retail prices for dry maize, prices had a seasonal high of 51.85 USD per 90kg and a seasonal low of 38.34 USD per 90kg. Arbitrage profitability is currently above average. In various regions, prices vary, with NUGAAL and SHABEELLAHA DHEXE reporting the highest prices at 43.28 USD and 43.24 USD, respectively, while BAKOOL and SOMALI report lower prices at 36.39 USD and 35.23 USD, respectively. Overall, market prices show regional disparities but remain relatively stable.
Latest Prices Overview
| Country Average (As at 2026-03-25) |
37.98 USD |
|---|---|
| Seven Day Average | 39.06 USD |
| 12 Month Seasonal High | 51.85 USD |
| 12 Month Seasonal Low | 38.34 USD |
| Arbitrage Profitability |
Current arbitrage conditions are ABOVE average (59/100)
|
Price Map
Summary of Seasonality for
Uganda’s current seasonal price assessment for 2026-03-25 shows that market prices are 7.69 USD BELOW the 5-year average for April, indicating unseasonably low conditions. The normal seasonal price for April is 45.67 ±0.29USD, while the latest national average stands at 37.98USD. In the long term, the current annual average remains 0.0% HIGHER than the 5-year seasonal average, highlighting continued price elevation.
Latest Seasonal Prices Overview
| Current Seasonal Price Assessment | -7.69 USD BELOW the 5-year average for April (unseasonably low) |
|---|---|
| Normal Seasonal Price for April | 45.67 ±0.29USD |
| Latest Country Average Price |
37.98 USD |
| End of Month Seasonal Forecast | We are working on generating this indicator |
| Long-term Seasonal Comparison |
|
Monthly Seasonality
Regional Price Above/Below 5-year Seasonal Average
Summary of Latest Price Predictions for
Market Forecasts Overview
| Latest Country Average (As at 2026-03-25) |
37.98 USD |
|---|---|
| End-of-week Country Average Forecast (For ) |
USD |
| End-of-month Country Average Forecast (For ) | USD |
| Regions with Forecasted Rising Prices (End-of-month forecast for ) |
BARI: +20.84 USD NUGAAL: +16.98 USD JUBBADA HOOSE: +11.37 USD |
| Regions with Forecasted Falling Prices (End-of-month forecast for ) |
MUDUG: +5.28 USD SHABEELLAHA DHEXE: +7.02 USD HIIRAAN: +8.12 USD |
Country Average Price Forecast
Regional End-of-month Forecasts
| Shabeellaha Dhexe | Increase 17.4% |
|---|---|
| Bay | Increase 30.4% |
| Gedo | Increase 26.6% |
| Jubbada Hoose | Increase 31.0% |
| Mudug | Increase 14.0% |
| Bari | Increase 53.2% |
| Nugaal | Increase 39.2% |
| Galgaduud | Increase 30.4% |
| Hiiraan | Increase 21.1% |
Trade Corridors Summary (2025Q1)
The trade corridors for agricultural products in Kenya encompass several key routes connecting major agricultural regions to crucial transportation hubs and markets. These routes include connections such as Eldoret to Nakuru and Nairobi, Nakuru to Naivasha and Nairobi, as well as routes originating from Mombasa to Nairobi and further inland to regions like Machakos and Makueni. Additionally, corridors like Gulu to Lira to Soroti in the northern part of the country facilitate trade from border areas. These corridors serve as vital arteries for the transportation of agricultural goods, facilitating domestic distribution and international trade, thereby contributing significantly to Kenya’s agricultural economy.
Trade Corridors (2024 Q1)
| Eldoret⟶Nakuru⟶Nairobi (Relative Efficiency Score: 0.24) |
| Nakuru⟶Naivasha⟶Nairobi (Relative Efficiency Score: 0.85) |
| Kitale⟶Eldoret⟶Nakuru (Relative Efficiency Score: 0.39) |
| Mombasa⟶Nairobi (Relative Efficiency Score: 0.16) |
| Malaba⟶Eldoret⟶Nakuru⟶Nairobi (Relative Efficiency Score: 0.43) |
| Busia⟶Kakamega⟶Eldoret⟶Nakuru⟶Nairobi (Relative Efficiency Score: 0.24) |
| Isiolo⟶Nanyuki⟶Nairobi (Relative Efficiency Score: 0.12) |
Regional Centrality (2024Q4)
| Iburengerazuba | 0.9784 |
|---|---|
| Majyaruguru | 0.8652 |
| Soroti | 0.7531 |
| Mubende | 0.6897 |
| Lira District | 0.6342 |
| Kapchorwa | 0.5231 |
| Iburasirasuba | 0.4321 |
| Amajvepfo | 0.3678 |
| Dar es Salaam | 0.2546 |
| Nairobi | 0.1432 |
| Kitui | 0.0567 |
Market Volatility and Dependency (2025Q1)
| Market | Volatility Score | Dependency Score | Vulnerability Index |
|---|---|---|---|
| Iburengerazuba | 0.9784 | 0.9784 | 0.9784 |
| Majyaruguru | 0.8652 | 0.8652 | 0.8652 |
| Soroti | 0.7531 | 0.7531 | 0.7531 |
| Mubende | 0.6897 | 0.6897 | 0.6897 |
| Lira District | 0.6342 | 0.6342 | 0.6342 |
| Kapchorwa | 0.5231 | 0.5231 | 0.5231 |
| Iburasirasuba | 0.4321 | 0.4321 | 0.4321 |
| Amajvepfo | 0.3678 | 0.3678 | 0.3678 |
| Dar es Salaam | 0.2546 | 0.2546 | 0.2546 |
| Nairobi | 0.1432 | 0.1432 | 0.1432 |
| Kitui | 0.0567 | 0.0567 | 0.0567 |
Volatility ranking/dependencies
Market Access and Efficiency (2025Q1)
| Market | Access Score | Efficiency Score | Integration Index |
|---|---|---|---|
| Iburengerazuba | 0.9784 | 0.9784 | 0.9784 |
| Majyaruguru | 0.8652 | 0.8652 | 0.8652 |
| Soroti | 0.7531 | 0.7531 | 0.7531 |
| Mubende | 0.6897 | 0.6897 | 0.6897 |
| Lira District | 0.6342 | 0.6342 | 0.6342 |
| Kapchorwa | 0.5231 | 0.5231 | 0.5231 |
| Iburasirasuba | 0.4321 | 0.4321 | 0.4321 |
| Amajvepfo | 0.3678 | 0.3678 | 0.3678 |
| Dar es Salaam | 0.2546 | 0.2546 | 0.2546 |
| Nairobi | 0.1432 | 0.1432 | 0.1432 |
| Kitui | 0.0567 | 0.0567 | 0.0567 |
