Contextual data: Mali - Maize - All years

‹ 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 ›
Mali total 478,806 483,920 654,074 729,142 710,600 833,273 1,529,175 1,452,497 1,348,758 1,718,024
Bamako   4,295 4,295 4,295 4,295 4,295 5,090 3,500 4,295 4,295 4,295  
Gao   55 55 36 55 55 0 125 190 0 34  
Kayes   46,552 48,293 70,657 53,593 57,889 90,020 155,500 187,650 187,650 127,834  
Kidal   0 0 0 0 0 0 0 0 0 0  
Koulikoro   73,322 60,471 131,882 95,111 80,521 148,861 330,600 238,230 238,230 237,275  
Mopti   6,291 6,291 6,291 6,291 6,291 2,640 10,600 12,930 17,598 6,537  
Ségou   22,612 31,399 32,522 29,273 45,556 38,848 81,750 345,810 105,946 99,293  
Sikasso   310,697 318,134 393,409 525,542 501,011 542,023 930,300 648,410 795,039 1,193,244  
Tombouctou   14,982 14,982 14,982 14,982 14,982 5,791 16,800 14,982 0 49,512  

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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