Contextual data: Democratic Republic of the Congo - Rice - All years

‹ 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Democratic Republic of the Congo total 816,732 1,027,053 1,028,760 1,132,510 1,213,006 1,286,872 1,378,846 659,918 659,918 659,918
Bandundu   58,094 73,043 73,174 79,767 85,442 95,771 102,582 47,289 47,289 47,289  
Équateur   54,051 67,968 68,082 78,448 84,026 89,998 96,398 44,529 44,529 44,529  
Kasaï Occidental   37,399 47,024 47,109 51,790 55,472 33,795 36,198 27,603 27,603 27,603  
Kasaï Oriental   97,410 122,478 122,698 120,035 128,730 146,859 157,304 76,481 76,481 76,481  
Katanga   29,720 37,368 37,302 42,717 45,553 48,792 52,715 24,349 24,349 24,349  
Kinshasa Rural   5,534 6,959 6,972 7,983 8,550 9,158 9,809 4,666 4,666 4,666  
Kongo Central   45,146 56,764 56,866 65,125 69,756 74,717 80,031 37,103 37,103 37,103  
Maniema   113,070 142,168 142,424 163,108 174,708 187,133 200,442 92,929 92,929 92,929  
Nord-Kivu   29,614 37,368 37,435 42,871 45,919 49,184 52,682 24,423 24,423 24,423  
Orientale   280,032 352,096 352,730 398,746 427,104 457,479 490,015 228,903 228,903 228,903  
Sud-Kivu   66,662 83,817 83,968 81,920 87,746 93,986 100,670 51,643 51,643 51,643  

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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