Contextual data: Madagascar - Maize - All years

‹ 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Madagascar total 379,246 366,174 329,367 316,333 281,488 214,999 219,222 224,884 367,344 367,344
Alaotra-Mangoro   5,554 7,442 4,833 4,602 2,948 3,678 3,375 4,050 6,203 6,203  
Amoron'i Mania   4,341 4,807 15,993 13,619 6,809 7,443 6,355 3,178 12,302 12,302  
Analamanga   9,134 9,105 9,594 9,608 7,302 8,800 8,946 11,343 9,827 9,827  
Analanjirofo   43,357 53,743 1,253 1,176 863 1,395 1,465 1,489 10,771 10,771  
Androy   18,894 11,641 4,201 781 1,153 984 1,706 1,876 13,826 13,826  
Anôsy   8,817 9,787 1,670 4,984 5,335 2,910 3,054 5,130 6,815 6,815  
Atsimo-Andrefana (South-West)   5,960 5,966 5,374 2,502 1,904 987 701 921 28,867 28,867  
Atsimo-Atsinanana (South-East)   24,882 26,980 901 901 901 2,206 1,838 1,747 6,024 6,024  
Atsinanana (East)   4,098 4,107 5,885 5,703 5,310 4,713 4,572 4,343 5,568 5,568  
Betsiboka   2,810 2,823 27,901 26,506 20,709 24,218 28,256 28,256 16,919 16,919  
Boeny   6,100 4,603 48,079 36,537 23,126 20,060 19,280 19,602 24,198 24,198  
Bongolava   28,476 28,737 15,017 12,021 18,031 14,828 15,390 16,929 18,187 18,187  
Diana   16,225 6,893 11,759 12,347 12,347 10,279 9,251 6,846 12,496 12,496  
Haute Matsiatra (Upper Matsiatra)   8,891 9,447 31,948 28,753 20,846 18,743 20,123 24,511 21,659 21,659  
Ihorombe   122 137 4,925 4,186 1,535 1,720 1,070 600 2,878 2,878  
Itasy   49,412 49,865 50,218 51,187 54,843 32,146 29,047 24,690 49,149 49,149  
Melaky   1,401 1,441 6,637 11,747 18,406 18,809 18,809 18,809 9,355 9,355  
Menabe   7,387 2,631 11,284 4,928 3,644 2,957 4,271 4,195 13,435 13,435  
Sava   17,807 13,106 3,846 3,846 3,481 3,883 3,611 3,671 5,893 5,893  
Sofia   5,726 5,638 3,442 2,451 3,925 3,008 3,377 2,364 12,054 12,054  
Vakinankaratra   84,738 83,987 63,665 76,912 66,837 28,528 33,643 39,252 74,892 74,892  
Vatovavy-Fitovinany   25,114 23,288 942 1,036 1,233 2,704 1,082 1,082 6,026 6,026  

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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