Contextual data: Benin - Maize - All years

‹ 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Benin total 1,345,819 1,354,344 1,286,060 1,376,683 1,514,913 1,543,974 1,580,751 1,611,615 1,628,150 1,154,625
Alibori   264,145 226,825 236,436 250,105 252,915 276,213 282,793 355,157 293,683 179,171  
Atacora   193,093 195,202 196,674 221,600 287,103 245,514 251,362 259,313 261,398 135,058  
Atlantique   100,158 119,693 88,263 91,883 94,816 111,079 113,725 84,473 87,377 102,421  
Borgou   188,749 186,123 202,712 207,587 224,042 226,554 231,950 226,060 217,666 166,368  
Collines   77,682 95,779 94,566 93,392 111,602 106,187 108,716 98,921 95,686 93,603  
Couffo   109,073 116,004 81,776 101,874 98,421 113,847 116,559 106,264 81,263 78,388  
Donga   43,634 39,901 45,508 58,075 59,130 55,280 56,596 53,915 46,429 33,844  
Littoral   0 0 0 0 0 0 0 0 0 0  
Mono   62,688 65,452 50,351 49,769 44,041 61,128 62,584 53,689 46,089 59,800  
Ouémé   69,787 51,908 53,052 54,072 47,711 62,077 63,556 59,116 60,560 47,173  
Plateau   173,460 189,779 173,690 186,808 226,639 213,346 218,428 216,895 363,413 197,818  
Zou   63,350 67,678 63,032 61,518 68,493 72,749 74,482 97,812 74,586 60,981  

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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