Contextual data: Cameroon - Rice - All years

‹ 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Cameroon total 209,196 406,466 482,188 519,434 550,789 477,329 209,196 209,196 209,196 209,196
Adamaoua   527 510 681 785 854 1,275 527 527 527 527  
Centre   8,077 12,114 16,598 18,745 20,393 20,129 8,077 8,077 8,077 8,077  
East   573 476 653 736 801 825 573 573 573 573  
Far North   85,143 120,252 167,806 186,641 203,051 164,471 85,143 85,143 85,143 85,143  
Littoral   41 34 47 53 57 59 41 41 41 41  
North   20,454 26,665 37,036 41,354 44,990 47,824 20,454 20,454 20,454 20,454  
North-West   25,476 32,184 43,353 49,662 54,028 74,019 25,476 25,476 25,476 25,476  
South   2,374 1,962 2,608 3,021 3,287 3,648 2,374 2,374 2,374 2,374  
South-West   63,435 207,712 207,066 211,368 215,637 160,003 63,435 63,435 63,435 63,435  
West   3,096 4,557 6,340 7,069 7,691 5,076 3,096 3,096 3,096 3,096  

Data version 2.19.3

Contextual data

Collected data

Values obtained from primary and secondary sources

Approximated data

Values approximated based on other data for same location

–No data

Not applicable or no data available

LGB Larger Grain Borer (Prostephanus truncatus) read more ›

Storage beetle pest of maize and dried cassava

Contextual data

Contextual factors relate to local conditions and practices that may affect losses on a seasonal or annual basis, such as weather, pest incidence, grain drying conditions and the length of household-level storage.

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APHLIS network and team members collect this data from official sources (e.g. ministries of agriculture and statistics offices), published research studies and national surveys etc, or by interviewing farmers, extension workers or other key informants. This data enables APHLIS to apply the relevant loss figures from the PHL profiles depending on seasonal circumstances, and convert percentage losses into absolute losses (in tonnes) using the production figures. Based on the postharvest loss profiles and contextual factors, APHLIS estimates postharvest losses at the provincial, national and regional levels.

The contextual dataset includes production quantities (t), whether it rained at harvest, the percentage of the crop marketed during first 3 months after harvest, household-level storage duration, and presence of specific pests (for example the larger grain borer, LGB, Prostephanus truncatus) which are used to contextualise the loss profile for each year. The importance of different types of contextual factors may vary between crops, and data for the most relevant contextual factors is shown and used in the loss estimate calculations.

For specific crop, location, year combinations where contextual data is not available, approximated data has been used. This is calculated based on the contextualised data which has been provided for the same location. Approximated contextual data is shown in grey. 

Read more about how APHLIS estimates losses ›

Contextual factors

Production quantity (t) the quantity of grain produced on small and large farms for each growing season.

Rain at harvest whether or not there is damp weather at time of harvest which would make drying the grain difficult. If there is rain at harvest then the value for the harvesting link in the PHL profile is increased.

% sold during first 3 months the proportion of grain that is marketed within the first three months, i.e. that will not enter farm storage for any significant time. This proportion of the production will not be subject to farm storage losses but instead will be affected by transport and market storage losses.

Household-level storage duration (months) the length of time that grain was stored at household-level. If household-level storage is less than 3 months then household-level storage loss is reduced to 0%, if 3 to 6 months it will be only 50% of the loss profile figure, or if 6 months or more than 100% of the household-level storage loss is applied.

LGB presence in the case of maize, whether or not LGB (the larger grain borer, Prostephanus truncatus) is expected to be a significant pest. If LGB is a serious pest in that particular season then storage losses are multiplied by 2.

Season

In locations where there is more than one growing season each year, seasonal production data for each of the growing seasons is inputted. These are labelled as first, second, third season.

Farm type

In locations where there are both smallholder farms and large-scale commercial farms, the contextual data is shown for each of these types.

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