Contextual data: Liberia - Rice - All years

‹ 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 ›
Liberia total 277,365 277,365 277,365 277,365 277,365 279,000 293,000 296,090 277,365 297,190
Bomi   8,960 8,960 8,960 8,960 8,960 12,740 10,640 8,700 8,960 7,570  
Bong   52,782 52,782 52,782 52,782 52,782 46,760 55,740 58,440 52,782 62,370  
Gbarpolu   12,531 12,531 12,531 12,531 12,531 15,430 14,900 15,470 12,531 16,140  
Grand Bassa   13,595 13,595 13,595 13,595 13,595 13,060 12,530 12,400 13,595 15,500  
Grand Cape Mount   12,566 12,566 12,566 12,566 12,566 10,710 8,600 8,550 12,566 9,140  
Grand Gedeh   11,196 11,196 11,196 11,196 11,196 13,810 12,560 12,980 11,196 13,000  
Grand Kru   9,120 9,120 9,120 9,120 9,120 9,990 9,620 9,500 9,120 10,420  
Lofa   49,243 49,243 49,243 49,243 49,243 41,710 55,440 59,980 49,243 52,660  
Margibi   8,291 8,291 8,291 8,291 8,291 9,320 8,400 8,000 8,291 7,710  
Maryland   7,714 7,714 7,714 7,714 7,714 11,410 8,820 8,540 7,714 9,200  
Montserrado   8,692 8,692 8,692 8,692 8,692 9,350 9,140 8,340 8,692 7,570  
Nimba   58,429 58,429 58,429 58,429 58,429 55,880 59,910 60,570 58,429 63,080  
River Cess   7,354 7,354 7,354 7,354 7,354 6,670 7,410 6,500 7,354 9,100  
River Gee   7,670 7,670 7,670 7,670 7,670 9,900 7,790 7,620 7,670 5,230  
Sinoe   9,222 9,222 9,222 9,222 9,222 12,260 11,500 10,500 9,222 8,500  

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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