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Entry date: Wed, 27 May 2026
Market: Makunga Market
County scope: Kakamega
Data up to: Wed, 27 May 2026
Insight: High
Forecast: High
Cattle Trend at Makunga Market
Market-aware analytics for the selected entry — trend and forecast use Makunga Market, while best buy/sell comparisons are limited to Kakamega County.
Average wholesale
Ksh41,852.22
At Makunga Market up to selected date
Average retail
Ksh0.00
Selected market average retail
Average spread
Ksh-41,852.22
-100.0% spread vs wholesale
Makunga Market Price Trend + Forecast
Solid lines = selected market history • dashed lines = 7-day forecast (Linear regression)
Momentum: Stable
Condition: Tight supply
7-Day Forecast
Method: Linear regression
| Day | Wholesale | Retail |
|---|---|---|
| D+1 | Ksh42,712.63 | Ksh0.00 |
| D+2 | Ksh42,726.32 | Ksh0.00 |
| D+3 | Ksh42,740.00 | Ksh0.00 |
| D+4 | Ksh42,753.69 | Ksh0.00 |
| D+5 | Ksh42,767.38 | Ksh0.00 |
| D+6 | Ksh42,781.07 | Ksh0.00 |
| D+7 | Ksh42,794.76 | Ksh0.00 |
Forecast is indicative only — it updates as new market prices arrive.
Recent Prices at Makunga Market
Latest 10 entries for this market up to the selected entry date
| Date | Market | County | Wholesale | Retail |
|---|---|---|---|---|
| Wed, 27 May 2026 | Makunga Market | Kakamega | Ksh41,600.00 | Ksh0.00 |
| Wed, 27 May 2026 | Makunga Market | Kakamega | Ksh37,000.00 | Ksh0.00 |
| Wed, 27 May 2026 | Makunga Market | Kakamega | Ksh24,000.00 | Ksh0.00 |
| Wed, 27 May 2026 | Makunga Market | Kakamega | Ksh18,200.00 | Ksh0.00 |
| Wed, 27 May 2026 | Makunga Market | Kakamega | Ksh17,000.00 | Ksh0.00 |
| Wed, 27 May 2026 | Makunga Market | Kakamega | Ksh26,000.00 | Ksh0.00 |
| Wed, 27 May 2026 | Makunga Market | Kakamega | Ksh17,000.00 | Ksh0.00 |
| Wed, 27 May 2026 | Makunga Market | Kakamega | Ksh32,000.00 | Ksh0.00 |
| Wed, 27 May 2026 | Makunga Market | Kakamega | Ksh34,000.00 | Ksh0.00 |
| Wed, 27 May 2026 | Makunga Market | Kakamega | Ksh38,200.00 | Ksh0.00 |
Featured sellers
Products related to today’s market activity
Active boosted listings appear first. If slots remain, related Cattle products and latest marketplace items fill the section.
Latest
Latest
Boma Rhode Hay
Price
KES 200
per Per Bale
Hay fresh from the farm at a favorable price.. Let's feed our cattle, hoa...
View Product
Latest
Latest
Quality Eggs
Price
KES 360
per crate
Quality Eggs,,,well parked,,,parking crates for sale
View Product
AI Analyst Brief
Selected market signals + Kakamega market rankings • 14 days up to selected entry
Market is Stable
At Makunga Market, retail prices are Stable with an average spread of -100.0% between retail and wholesale.
Stable
Tight supply
Recommendation
Watch the next 2–3 updates at this market before making bulk decisions.
- If you’re selling, focus on quality and reliable supply.
- If you’re buying, compare nearby markets in the county and negotiate early.
Best Markets to Buy (Lower retail)
Based on average retail in Kakamega County during the 14 days ending on the selected entry date (min 3 samples).
Malimili Livestock Market
Avg W: Ksh46,083.33
Avg R: Ksh0.00
Spread: Ksh-46,083.33
Vol: Ksh0.00
Lubao Livestock Market
Avg W: Ksh52,500.00
Avg R: Ksh0.00
Spread: Ksh-52,500.00
Vol: Ksh0.00
Makunga Market
Avg W: Ksh42,681.58
Avg R: Ksh0.00
Spread: Ksh-42,681.58
Vol: Ksh0.00
Best Markets to Sell (Higher retail)
Based on average retail in Kakamega County during the 14 days ending on the selected entry date.
Malimili Livestock Market
Avg W: Ksh46,083.33
Avg R: Ksh0.00
Spread: Ksh-46,083.33
Vol: Ksh0.00
Lubao Livestock Market
Avg W: Ksh52,500.00
Avg R: Ksh0.00
Spread: Ksh-52,500.00
Vol: Ksh0.00
Makunga Market
Avg W: Ksh42,681.58
Avg R: Ksh0.00
Spread: Ksh-42,681.58
Vol: Ksh0.00
Premium Actions
Unlock alerts, weekly forecasts, and county-specific recommendations for this commodity.
Best market ranking uses 14 days ending on the selected entry date.
Notes
Logic
Trend & Forecast use entries from Makunga Market only.
Best Buy/Sell ranks markets inside Kakamega County by average retail price (last 14 days ending on selected entry date).
Volatility is the stddev of retail prices in that window.
Forecast uses Linear regression and should be treated as indicative.