Kenya, Barley, 2016

Kenya's estimated postharvest losses for barley in 2016 was 4,690 tonnes or 12.5%.

In the value chain, the majority of the loss is estimated to be happening at Harvesting/field drying, Threshing and Shelling, and then Market storage. Highest estimated postharvest maize losses in tonnes were estimated to occur in Rift Valley.

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 59646
2012 72931
2013 37530
2014 37530
2015 37530
2016 37530
2017 37530
2018 37530
2019 59537
2020 34953
Produced 37,530 tonnes
Estimated postharvest losses 12.5% / 4,690 tonnes
Production quantity Estimated postharvest losses
87.5045 Production quantity: 37,530 tonnes 12.5 Estimated PHL: 4,690 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 100 Remaining: 100%
Est. PHL: 0% 		0 Remaining: 100%
Est. PHL: 0%
Harvesting/field drying 96.5 Remaining: 96.5%
Est. PHL: 3.5% 		3.5 Remaining: 96.5%
Est. PHL: 3.5%
Threshing and Shelling 93 Remaining: 93%
Est. PHL: 3.5% 		3.5 Remaining: 93%
Est. PHL: 3.5%
Winnowing 93 Remaining: 93%
Est. PHL: 0% 		0 Remaining: 93%
Est. PHL: 0%
Transport from field 90.5 Remaining: 90.5%
Est. PHL: 2.5% 		2.5 Remaining: 90.5%
Est. PHL: 2.5%
Household-level storage 90.5 Remaining: 90.5%
Est. PHL: 0% 		0 Remaining: 90.5%
Est. PHL: 0%
Transport to market 89.5 Remaining: 89.5%
Est. PHL: 1% 		1 Remaining: 89.5%
Est. PHL: 1%
Market storage 86.85 Remaining: 86.85%
Est. PHL: 2.65% 		2.65 Remaining: 86.85%
Est. PHL: 2.65%

See full value chain data table with estimated losses in percentage › | tonnes ›