Contextual data: Zambia - Maize - All years

‹ 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 ›
Zambia total 734,302 861,758 611,382 1,110,920 1,073,947 992,841 1,641,540 2,488,944 2,787,232 2,710,431
Central   153,765 148,831 74,568 210,607 201,416 219,401 289,283 551,843 426,821 441,073  
Copperbelt   61,321 60,058 52,373 112,997 85,612 94,869 124,095 182,022 213,913 205,542  
Eastern   197,276 254,983 165,187 281,051 221,138 262,931 392,068 531,810 575,850 572,760  
Luapula   14,092 19,404 30,252 36,857 31,340 39,460 56,270 67,919 123,839 125,635  
Lusaka   56,914 18,748 11,170 37,453 51,975 20,577 45,377 89,586 87,031 81,825  
Muchinga   - - - - - - - - - 225,668  
North-Western   32,787 47,311 40,674 71,971 70,110 59,985 98,447 129,237 150,350 156,055  
Northern   78,053 89,775 116,207 121,729 136,735 169,806 241,621 306,216 504,915 270,858  
Southern   104,816 174,567 91,910 207,852 213,855 91,423 339,641 541,507 611,912 554,275  
Western   35,278 48,081 29,041 30,403 61,766 34,389 54,738 88,804 92,601 76,740  

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.

Read more ▾

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.

Share

Download

Download as CSV

Download as XLS