Mozambique's estimated postharvest losses for millet in 2006 was 4,678 tonnes or 10.9%.
In the value chain, the majority of the loss is estimated to be happening at Harvesting/field drying, Transport from field, and then Winnowing. Highest estimated postharvest maize losses in tonnes were estimated to occur in Tete.
To view the list of studies used to estimate these losses, please see the References tab.
Production quantity and estimated postharvest losses
Production quantity (tonnes)
Estimated postharvest losses (tonnes)
2011–2021
2011
35017
2012
21947
2013
35017
2014
29335
2015
10916
2016
35017
2017
35017
2018
35017
2019
35017
2020
35017
Produced
42,857 tonnes
Estimated postharvest losses
10.9%
/ 4,678 tonnes
Production quantity
Estimated postharvest losses
89.0858Production quantity: 42,857 tonnes
10.9Estimated PHL: 4,678 tonnes
See full postharvest losses data table with estimated losses in
percentage ›
| tonnes ›
Value chain
Production quantity and estimated postharvest losses in % per value chain step. Please note that once loss has occurred at harvesting, the percentage loss in the next stage is a percentage of what remained, not of the original amount.
Estimated % of crop left
Estimated % of crop lost
Amount remaining(%)
Estimated postharvest loss(%)
Production
100Remaining: 100% Est. PHL: 0%
0Remaining: 100% Est. PHL: 0%
Harvesting/field drying
96.5Remaining: 96.5% Est. PHL: 3.5%
3.5Remaining: 96.5% Est. PHL: 3.5%
Threshing and Shelling
94.5Remaining: 94.5% Est. PHL: 2%
2Remaining: 94.5% Est. PHL: 2%
Winnowing
92.23013Remaining: 92.23013% Est. PHL: 2.26987%
2.26987Remaining: 92.23013% Est. PHL: 2.26987%
Transport from field
89.73013Remaining: 89.73013% Est. PHL: 2.5%
2.5Remaining: 89.73013% Est. PHL: 2.5%
Household-level storage
88.59042Remaining: 88.59042% Est. PHL: 1.13971%
1.13971Remaining: 88.59042% Est. PHL: 1.13971%
Transport to market
88.59042Remaining: 88.59042% Est. PHL: 0%
0Remaining: 88.59042% Est. PHL: 0%
Market storage
88.59042Remaining: 88.59042% Est. PHL: 0%
0Remaining: 88.59042% Est. PHL: 0%
See full value chain data table with estimated losses in
percentage ›
| tonnes ›