Contextual data: Angola - Maize - All years

‹ 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Angola total 1,032,335 1,169,158 940,090 940,090 940,090 2,248,156 2,280,037 2,391,359 940,090 940,090
Bengo   6,310 6,714 8,405 8,405 8,405 20,304 20,776 36,034 8,405 8,405  
Benguela   84,879 98,910 83,623 83,623 83,623 239,279 256,842 267,496 83,623 83,623  
Bié   191,394 218,451 168,233 168,233 168,233 397,792 428,774 392,086 168,233 168,233  
Cabinda   3,685 3,217 3,001 3,001 3,001 1,872 1,869 1,698 3,001 3,001  
Cuando Cubango   27,091 30,288 17,893 17,893 17,893 37,667 5,066 4,954 17,893 17,893  
Cuanza-Norte   8,969 9,574 9,302 9,302 9,302 17,633 20,352 18,329 9,302 9,302  
Cuanza-Sul   221,152 247,111 176,090 176,090 176,090 495,763 522,942 563,099 176,090 176,090  
Cunene   626 1,600 1,988 1,988 1,988 4,396 1,161 1,168 1,988 1,988  
Huambo   280,915 322,939 254,502 254,502 254,502 561,956 597,979 675,252 254,502 254,502  
Huíla   68,395 78,160 105,057 105,057 105,057 209,672 160,150 176,291 105,057 105,057  
Luanda   451 597 1,484 1,484 1,484 1,553 1,570 1,882 1,484 1,484  
Lunda-Norte   10,974 12,074 7,756 7,756 7,756 19,263 20,243 18,791 7,756 7,756  
Lunda-Sul   17,858 19,076 12,817 12,817 12,817 29,399 29,756 28,623 12,817 12,817  
Malange   36,030 40,774 33,345 33,345 33,345 70,383 74,012 80,578 33,345 33,345  
Moxico   27,171 31,277 20,882 20,882 20,882 55,874 59,737 55,123 20,882 20,882  
Namibe   6,641 8,041 5,496 5,496 5,496 18,918 7,130 7,067 5,496 5,496  
Uíge   33,981 34,126 25,775 25,775 25,775 55,972 61,023 53,663 25,775 25,775  
Zaire   5,813 6,229 4,441 4,441 4,441 10,460 10,655 9,225 4,441 4,441  

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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