Contextual data: Mozambique - Maize - All years

‹ 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 ›
Mozambique total 1,197,803 1,216,027 1,268,078 1,484,327 1,510,778 1,276,525 1,276,525 1,276,525 1,276,525 1,177,389
Cabo Delgado   127,547 129,308 133,197 144,744 150,288 120,325 120,325 120,325 120,325 68,410  
Gaza   20,032 20,032 34,199 59,108 52,189 42,012 42,012 42,012 42,012 48,675  
Inhambane   28,087 28,087 37,529 52,999 34,009 29,107 29,107 29,107 29,107 20,625  
Manica   169,688 169,688 169,723 227,761 259,265 197,877 197,877 197,877 197,877 227,748  
Maputo (city)   - - - - - - - - - -  
Maputo   8,507 8,507 25,227 40,052 12,360 31,717 31,717 31,717 31,717 31,570  
Nampula   131,947 131,947 151,553 155,742 157,765 129,607 129,607 129,607 129,607 112,494  
Niassa   197,886 203,156 218,557 248,001 233,630 184,402 184,402 184,402 184,402 143,761  
Sofala   72,865 72,865 77,175 67,547 74,797 89,691 89,691 89,691 89,691 118,346  
Tete   178,890 178,890 175,803 206,310 237,214 208,364 208,364 208,364 208,364 226,912  
Zambézia   262,354 273,547 245,115 282,063 299,261 243,423 243,423 243,423 243,423 178,848  

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