Market Data & Analytics

Consolidated Tanzania agricultural market data from official sources — national price trends, regional comparisons and seasonal supply windows, all in one place. Updated with every price bulletin.

Last updated:

National Average Prices Over Time

Official national wholesale average (TZS/kg) for each staple crop, tracked across every FURROW price bulletin.

Regional Price Comparison

Government reference price by region for the selected crop.

Market Movement

Number of tracked commodity entries rising vs falling at each bulletin.

Seasonal Supply Windows

Optimal production windows per the Tanzania Horticultural Association (TAHA).

CropBest HarvestRisk WindowOptimal Planting
Vitunguu (Onions)Feb – JulJul – NovSep – Dec
Nyanya (Tomatoes)Jan – MayDec – JunSep – Dec
Tikitimaji (Watermelons)Mar – Apr & Oct – DecMay – Sep & Dec – FebJan – Feb & Aug – Sep
Tangawizi (Ginger)Apr – JulMar – AugDec – Feb

Source: Tanzania Horticultural Association (TAHA) seasonal framework.

Data Sources & Methodology

Every price on FURROW traces to an official source. Here is exactly where the numbers come from and how they are handled.

Staple food crops
Ministry of Agriculture (MAFC) regional wholesale tracking matrices — maize, rice, beans, sorghum, millet and potatoes across Tanzania's regions.
Regulated cash crops
Tanzania Coffee Board (TCB), Cashewnut Board of Tanzania (CBT) and Cotton Development Trust (CDT) — official auction clearing and farm-gate reference rates.
Exchange-traded lots
Tanzania Mercantile Exchange (TMX) and COPRA electronic auctions — sesame, green gram, soybeans and cocoa warehouse-receipt trading ranges.
How we update
Prices are refreshed with every official bulletin, cross-checked by the FURROW team, and timestamped. Historical snapshots are preserved so trends are never rewritten. Missing regional readings are shown as absent — never estimated.

All prices are indicative reference rates in TZS/kg unless stated otherwise. FURROW publishes official data openly and does not adjust, model or interpolate reported prices.