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Estimated Postharvest Losses (%) 2003 - 2023

The figures quoted in the tables below are estimates of cumulative weight loss from production incurred during harvesting, drying, handling operations, farm storage, transport and market storage. The loss values for each link in the postharvest chain are taken from the scientific literature and are modified by several seasonal factors that vary from year to year and are submitted by the APHLIS network. More details can be found in the ‘Understanding APHLIS’ manual and the ‘Weight Loss Review’ article. The first loss table gives a regional weighted average PHL by crop. By clicking on the various country links it is possible to see the PHL by crop for country and then for each province. By clicking on a provincial loss figures it is possible to display the key data used in the calculation, including the seasonal data. The figures used for estimating the PHLs are displayed and a quality assessment is given of these figures as to whether they are specific to the cereal type, farm type and climate in question and the bibliographical source of the data can also be traced in a full reference list.

for Millets in : Tanzania

Provinces of Tanzania

Click on a loss figure in the table below to see in detail how the figure was derived. Send us your comments if you have the feeling that the underlying data and assumptions could be improved.

Please sent your comments to info(at)phlosses.net.

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Province	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023
Arusha	8.3	8.3	8.3	8.3	8.3	8.3	8.3	8.3	8.3	8.3	-	-	-	-	-	-	-	-	-	-	-
Dar-Es-Salaam	-	-	-	-	-	-	11.2	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dodoma	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	-	-	-	-	-	-	-	-	-	-	-
Iringa	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	-	11.2	-	-	-	-	-	-	-	-	-	-	-
Kagera	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	-	-	-	-	-	-	-	-	-	-	-
Kaskazini-Pemba	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kaskazini-Unguja	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kigoma	-	-	-	-	-	-	11.2	11.2	-	11.2	-	-	-	-	-	-	-	-	-	-	-
Kilimanjaro	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	-	-	-	-	-	-	-	-	-	-	-
Kusini-Pemba	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kusini Unguja	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Lake Victoria	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Lindi	-	-	-	-	-	-	11.2	11.2	-	-	-	-	-	-	-	-	-	-	-	-	-
Manyara	8.3	8.3	8.3	8.3	8.3	8.3	8.3	8.3	8.3	8.3	-	-	-	-	-	-	-	-	-	-	-
Mara	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	-	-	-	-	-	-	-	-	-	-	-
Mbeya	8.3	8.3	8.3	8.3	8.3	8.3	8.3	8.3	8.3	8.3	-	-	-	-	-	-	-	-	-	-	-
Mjini-Magharibi	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Morogoro	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	-	-	-	-	-	-	-	-	-	-	-
Mtwara	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	-	-	-	-	-	-	-	-	-	-	-
Mwanza	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	-	-	-	-	-	-	-	-	-	-	-
Pwani	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Rukwa	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	-	-	-	-	-	-	-	-	-	-	-
Ruvuma	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	-	-	-	-	-	-	-	-	-	-	-
Shinyanga	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	-	11.2	-	-	-	-	-	-	-	-	-	-	-
Singida	8.3	8.3	8.3	8.3	8.3	8.3	8.3	8.3	-	8.3	-	-	-	-	-	-	-	-	-	-	-
Tabora	-	-	-	-	-	-	11.2	11.2	11.2	11.2	-	-	-	-	-	-	-	-	-	-	-
Tanga	-	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	11.2	-	-	-	-	-	-	-	-	-	-	-
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Estimated Postharvest Losses (t) 2003 - 2023

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Province	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023
Arusha	337	110	317	239	262	244	1148	970	670	907	-	-	-	-	-	-	-	-	-	-	-
Dar-Es-Salaam	-	-	-	-	-	-	0	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dodoma	2193	2149	1457	1036	1137	1199	8590	8243	7254	7706	-	-	-	-	-	-	-	-	-	-	-
Iringa	306	264	262	186	205	216	270	228	-	214	-	-	-	-	-	-	-	-	-	-	-
Kagera	65	45	349	248	273	287	2195	1855	1281	1734	-	-	-	-	-	-	-	-	-	-	-
Kaskazini-Pemba	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kaskazini-Unguja	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kigoma	-	-	-	-	-	-	882	638	-	697	-	-	-	-	-	-	-	-	-	-	-
Kilimanjaro	576	752	1628	1142	1254	1322	142	120	83	112	-	-	-	-	-	-	-	-	-	-	-
Kusini-Pemba	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kusini Unguja	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Lake Victoria	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Lindi	-	-	-	-	-	-	2620	2215	-	-	-	-	-	-	-	-	-	-	-	-	-
Manyara	337	1052	1410	1002	1100	1160	330	279	245	261	-	-	-	-	-	-	-	-	-	-	-
Mara	2950	2110	1861	1323	31	1420	2201	1860	579	1739	-	-	-	-	-	-	-	-	-	-	-
Mbeya	2513	2055	1780	1402	1539	1623	1832	1549	1317	1448	-	-	-	-	-	-	-	-	-	-	-
Mjini-Magharibi	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Morogoro	252	20	20	14	16	16	640	543	375	507	-	-	-	-	-	-	-	-	-	-	-
Mtwara	924	3	4	3	3	3	3243	2741	32	2563	-	-	-	-	-	-	-	-	-	-	-
Mwanza	1424	1314	2463	2531	2779	3049	943	797	9308	745	-	-	-	-	-	-	-	-	-	-	-
Pwani	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Rukwa	4162	3433	3677	2614	2869	3695	3291	2782	2412	2601	-	-	-	-	-	-	-	-	-	-	-
Ruvuma	408	4011	2979	1932	2121	2237	723	611	447	572	-	-	-	-	-	-	-	-	-	-	-
Shinyanga	1787	2679	2882	2622	2878	3035	2849	2408	-	2251	-	-	-	-	-	-	-	-	-	-	-
Singida	1703	2583	2278	3254	3126	2954	3383	2859	-	2673	-	-	-	-	-	-	-	-	-	-	-
Tabora	-	-	-	-	-	-	1908	1612	1415	1507	-	-	-	-	-	-	-	-	-	-	-
Tanga	-	29	26	18	20	21	477	403	29	377	-	-	-	-	-	-	-	-	-	-	-
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