Contextual data: Tanzania - All crops - 2020

Maize Rice Sorghum Millet Wheat Barley Fonio Oats Teff
Tanzania total 3,354,262 1,037,567 693,008 248,251 100,064 0 - - -
Arusha   76,732 81,685 15,064 5,350 24,321 - - - -  
Dar-Es-Salaam   1,421 5,669 1 1 0 - - - -  
Dodoma   86,215 4,686 186,641 36,720 0 - - - -  
Geita   - - - - - - - - -  
Iringa   456,349 12,796 27,655 2,143 19,457 - - - -  
Kagera   187,609 19,040 27,398 7,322 0 - - - -  
Kaskazini Pemba   - - - - - - - - -  
Kaskazini Unguja   - - - - - - - - -  
Katavi   - - - - - - - - -  
Kigoma   159,612 33,520 13,891 6,623 0 - - - -  
Kilimanjaro   76,154 25,284 2,897 3,165 6,843 - - - -  
Kusini Pemba   - - - - - - - - -  
Kusini Unguja   - - - - - - - - -  
Lindi   54,696 12,891 34,398 14,446 0 - - - -  
Manyara   214,110 12,026 12,226 8,693 44,363 0 - - -  
Mara   74,171 2,854 32,187 10,326 0 0 - - -  
Mbeya   305,660 132,206 22,973 9,948 2,756 - - - -  
Mjini Magharibi   - - - - - - - - -  
Morogoro   130,479 132,562 6,462 1,908 34 - - - -  
Mtwara   103,793 36,311 32,723 8,533 0 - - - -  
Mwanza   143,007 110,228 47,853 18,105 0 - - - -  
Njombe   - - - - - - - - -  
Pwani   18,143 61,436 8,468 - - - - - -  
Rukwa   386,818 69,538 36,115 28,270 2,037 - - - -  
Ruvuma   347,398 27,998 22,342 14,379 0 - - - -  
Shinyanga   208,811 97,513 49,694 23,297 0 - - - -  
Simiyu   - - - - - - - - -  
Singida   50,695 8,519 82,133 33,396 0 - - - -  
Tabora   194,094 129,931 29,301 14,438 0 - - - -  
Tanga   78,295 20,874 2,586 1,188 253 - - - -  

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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