Contextual data: Senegal - Millet - All years

‹ 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Senegal total 662,615 564,846 408,995 749,873 698,642 940,549 827,620 751,306 1,144,854 1,039,860
Dakar   2 2 2 0 0 4 0 2 0 0  
Diourbel   90,190 63,139 46,231 103,444 85,126 94,085 77,973 74,538 78,632 85,354  
Fatick   119,551 98,711 80,000 108,840 96,849 183,065 174,483 135,058 206,960 189,593  
Kaffrine   109,288 91,305 68,768 113,926 113,862 145,843 204,340 166,979 264,537 217,546  
Kaolack   109,649 96,658 77,613 133,626 131,054 152,011 167,275 77,238 185,016 161,352  
Kédougou   0 49,480 152 0 0 49,480 8,239 49,480 0 305  
Kolda   18,663 13,908 11,930 33,662 34,530 31,870 44,167 30,003 94,122 71,044  
Louga   35,329 17,614 16,342 44,524 47,182 86,708 26,945 36,577 52,131 44,470  
Matam   16,645 10,215 8,850 31,230 21,066 17,808 9,136 17,690 17,657 19,151  
Saint-Louis   1,094 1,435 703 2,129 2,191 206 338 17,106 1,572 1,425  
Sédhiou   40,601 31,188 18,179 33,877 33,792 39,124 23,668 26,785 86,933 113,501  
Tambacounda   38,834 47,156 44,952 57,960 55,052 29,250 46,189 47,127 63,060 61,433  
Thiès   74,941 39,405 31,747 80,672 70,496 107,063 40,770 63,203 87,148 70,573  
Ziguinchor   7,828 4,630 3,526 5,983 7,442 4,032 4,097 9,520 7,086 4,113  

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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