Contextual data: Benin - Rice - All years

‹ 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 ›
Benin total 57,094 67,971 86,394 75,387 79,146 105,599 112,705 124,974 218,939 219,102
Alibori   22,226 28,208 43,999 28,106 30,249 51,217 43,272 42,869 84,324 89,753  
Atacora   12,643 16,462 17,901 22,823 23,099 18,968 20,627 30,011 40,197 47,330  
Atlantique   484 484 484 484 82 492 510 404 994 493  
Borgou   7,140 7,204 7,938 4,292 4,328 6,700 3,873 3,653 7,547 5,393  
Collines   7,419 8,279 8,032 11,468 9,240 17,372 29,908 31,254 58,281 38,330  
Couffo   527 284 364 585 431 936 1,515 2,070 2,952 2,454  
Donga   3,467 3,450 3,779 3,600 4,082 5,506 8,871 10,190 17,287 26,729  
Littoral   0 0 0 0 0 0 0 0 0 0  
Mono   179 93 131 211 152 855 1,056 1,286 2,057 1,881  
Ouémé   214 363 373 415 156 544 330 1,178 0 2,002  
Plateau   2,471 2,471 2,471 2,471 2,471 5 24 133 0 1,277  
Zou   324 673 922 932 4,856 3,004 2,719 1,926 5,300 3,460  

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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