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

‹ 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 ›
Democratic Republic of the Congo total 314,001 315,000 315,130 315,480 316,331 316,934 317,536 760,005 714,335 649,654
Bandundu   22,389 22,414 22,440 22,465 22,490 22,515 22,540 54,058 50,803 46,203  
Équateur   20,833 20,856 20,878 20,902 20,926 20,950 20,974 50,297 47,268 42,988  
Kasaï Occidental   14,414 14,430 14,447 14,462 14,477 14,492 14,507 34,802 32,706 29,745  
Kasaï Oriental   37,543 37,585 37,627 37,669 37,811 37,904 37,996 90,644 85,186 77,473  
Katanga   11,414 11,427 11,439 11,452 11,465 11,478 11,491 27,557 25,991 23,637  
Kinshasa Rural   2,132 2,134 2,136 2,138 2,140 2,142 2,144 5,150 4,840 4,402  
Kongo Central   17,399 17,418 17,437 17,456 17,475 17,494 17,513 42,010 39,481 35,906  
Maniema   43,578 43,626 43,675 43,724 43,773 43,822 43,871 105,217 98,881 89,928  
Nord-Kivu   11,460 11,473 11,487 11,499 11,511 11,523 11,535 27,656 25,991 23,637  
Orientale   107,147 107,916 107,815 107,935 108,356 108,627 108,899 260,582 244,891 222,717  
Sud-Kivu   25,692 25,721 25,749 25,778 25,907 25,987 26,066 62,032 58,297 53,018  

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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