Contextual data: Mali - Sorghum - All years

‹ 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 ›
Mali total 743,498 710,444 669,049 806,693 926,259 1,000,007 1,116,981 1,466,728 1,650,130 1,213,548
Bamako   1,100 1,100 1,100 1,100 1,100 1,000 1,200 1,100 1,100 1,100  
Gao   293 1,391 85 2,536 1,723 7,900 9,490 15,270 4,307 235  
Kayes   200,611 140,268 146,256 123,334 148,533 166,043 222,976 277,550 277,550 280,407  
Kidal   8 8 8 8 8 8 8 8 8 8  
Koulikoro   176,214 270,245 181,964 193,598 195,357 243,380 313,500 437,540 437,540 331,138  
Mopti   44,174 44,174 44,174 44,174 44,174 35,816 59,742 65,570 34,552 45,035  
Ségou   130,010 102,469 107,082 105,647 110,030 137,707 152,265 89,830 207,560 283,467  
Sikasso   168,086 127,787 165,378 313,294 402,332 376,138 322,000 487,520 679,142 254,775  
Tombouctou   23,002 23,002 23,002 23,002 23,002 32,015 35,800 92,340 8,371 17,383  

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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