Contextual data: Chad - Sorghum - All years

‹ 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Chad total 832,846 832,846 832,846 832,846 832,846 832,846 832,846 832,846 832,846 832,846
Barh El Gazal   21 21 21 21 21 21 21 21 21 21  
Batha   31,934 31,934 31,934 31,934 31,934 31,934 31,934 31,934 31,934 31,934  
Borkou   - - - - - - - - - -  
Chari-Baguirmi   103,864 103,864 103,864 103,864 103,864 103,864 103,864 103,864 103,864 103,864  
Ennedi   - - - - - - - - - -  
Guéra   60,142 60,142 60,142 60,142 60,142 60,142 60,142 60,142 60,142 60,142  
Hadjer Lamis   71,912 71,912 71,912 71,912 71,912 71,912 71,912 71,912 71,912 71,912  
Kanem   0 0 0 0 0 0 0 0 0 0  
Lac   125 125 125 125 125 125 125 125 125 125  
Logone-Occidental   42,318 42,318 42,318 42,318 42,318 42,318 42,318 42,318 42,318 42,318  
Logone-Oriental   61,305 61,305 61,305 61,305 61,305 61,305 61,305 61,305 61,305 61,305  
Mandoul   47,261 47,261 47,261 47,261 47,261 47,261 47,261 47,261 47,261 47,261  
Mayo-Kebbi-Est   50,063 50,063 50,063 50,063 50,063 50,063 50,063 50,063 50,063 50,063  
Mayo-Kebbi-Ouest   43,685 43,685 43,685 43,685 43,685 43,685 43,685 43,685 43,685 43,685  
Moyen-Chari   56,370 56,370 56,370 56,370 56,370 56,370 56,370 56,370 56,370 56,370  
Ouaddaï   47,789 47,789 47,789 47,789 47,789 47,789 47,789 47,789 47,789 47,789  
Salamat   16,238 16,238 16,238 16,238 16,238 16,238 16,238 16,238 16,238 16,238  
Sila   147,223 147,223 147,223 147,223 147,223 147,223 147,223 147,223 147,223 147,223  
Tandjilé   35,965 35,965 35,965 35,965 35,965 35,965 35,965 35,965 35,965 35,965  
Tibesti   - - - - - - - - - -  
Ville de Ndjamena   - - - - - - - - - -  
Wadi Fira   16,631 16,631 16,631 16,631 16,631 16,631 16,631 16,631 16,631 16,631  

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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