Contextual data: Benin - Maize - All years

‹ 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 ›
Benin total 773,479 872,408 829,380 1,190,095 753,122 1,085,340 1,065,329 1,012,630 1,165,957 1,174,564
Alibori   68,528 83,445 86,307 81,782 88,533 122,495 167,063 204,359 163,155 198,080  
Atacora   41,590 61,515 76,447 78,054 62,075 61,145 72,411 71,256 82,976 129,535  
Atlantique   96,074 101,236 117,366 139,314 111,909 124,170 27,178 116,844 104,213 107,727  
Borgou   116,281 147,494 154,693 136,832 122,864 117,436 153,820 153,954 172,983 136,519  
Collines   57,465 66,918 49,622 51,643 61,203 170,819 172,338 113,941 196,690 90,274  
Couffo   47,739 37,406 46,944 51,007 50,542 47,389 89,266 83,220 82,639 124,503  
Donga   18,489 21,436 22,410 21,701 16,961 23,497 26,479 20,563 34,598 34,467  
Littoral   0 0 0 0 0 0 0 0 0 0  
Mono   29,529 28,731 23,618 415,172 26,857 32,041 38,822 56,412 36,029 51,028  
Ouémé   18,313 32,193 30,741 32,402 36,664 54,447 39,116 47,944 31,066 86,661  
Plateau   254,000 260,426 194,285 154,535 143,440 229,542 169,113 80,017 134,306 152,642  
Zou   25,471 31,608 26,947 27,653 32,074 102,359 109,723 64,120 127,302 63,128  

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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