Contextual data: Senegal - Maize - All years

‹ 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Senegal total 238,961 225,902 178,733 304,298 400,461 417,261 480,141 339,699 761,882 754,619
Dakar   826 733 585 799 842 630 105 561 165 534  
Diourbel   615 676 454 836 914 797 876 560 880 712  
Fatick   29,095 24,773 14,479 30,361 41,973 42,504 43,074 38,136 78,931 58,624  
Kaffrine   34,243 34,467 28,133 65,294 117,198 48,559 64,084 41,009 70,153 81,217  
Kaolack   43,965 54,924 35,484 37,932 45,038 64,890 76,912 40,709 118,698 127,948  
Kédougou   20,846 10,005 8,436 12,678 14,658 24,403 69,512 25,814 34,727 51,295  
Kolda   45,448 41,078 27,928 34,807 32,808 76,813 47,350 73,160 180,697 169,517  
Louga   1,611 2,237 2,133 3,682 2,784 3,079 3,387 11,669 3,773 3,307  
Matam   2,698 1,934 769 810 2,407 6,714 1,694 3,146 309 3,066  
Saint-Louis   20,145 6,106 6,320 5,018 5,485 9,012 14,455 16,666 5,294 13,707  
Sédhiou   11,740 14,125 24,414 71,005 82,766 73,648 64,849 38,989 160,989 137,985  
Tambacounda   26,755 34,028 28,337 37,094 46,167 61,238 36,420 33,741 101,790 100,634  
Thiès   741 438 432 1,375 1,512 2,727 52,638 12,572 1,989 1,712  
Ziguinchor   233 378 829 2,607 5,909 2,247 4,785 2,967 3,487 4,361  

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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