Contextual data: Nigeria - All crops - 2021

Maize Rice Sorghum Millet Wheat Barley Fonio Oats Teff
Nigeria total 12,744,450 8,341,970 6,725,500 1,926,950 - - - - -
Abia   96,620 58,290 0 0 - - - - -  
Abuja Federal Capital Territory   454,420 415,000 132,900 57,160 - - - - -  
Adamawa   442,390 275,790 292,000 166,800 - - - - -  
Akwa Ibom   92,040 24,020 0 0 - - - - -  
Anambra   109,500 99,310 0 0 - - - - -  
Bauchi   581,010 250,080 447,200 76,610 - - - - -  
Bayelsa   87,210 94,720 0 0 - - - - -  
Benue   386,330 517,650 204,800 86,940 - - - - -  
Borno   626,650 189,510 347,500 78,130 - - - - -  
Cross River   112,770 163,530 0 0 - - - - -  
Delta   163,290 50,520 0 0 - - - - -  
Ebonyi   167,280 145,730 0 0 - - - - -  
Edo   159,700 137,890 0 0 - - - - -  
Ekiti   299,460 140,470 0 0 - - - - -  
Enugu   182,790 94,250 14,200 0 - - - - -  
Gombe   648,790 215,080 331,300 118,730 - - - - -  
Imo   134,970 85,490 0 0 - - - - -  
Jigawa   332,440 215,310 351,600 71,080 - - - - -  
Kaduna   977,030 360,370 446,200 51,600 - - - - -  
Kano   357,060 438,720 618,600 88,420 - - - - -  
Katsina   362,360 220,260 357,600 153,070 - - - - -  
Kebbi   335,680 348,690 406,500 75,570 - - - - -  
Kogi   430,870 534,650 129,900 38,760 - - - - -  
Kwara   335,490 431,940 151,700 30,920 - - - - -  
Lagos   261,510 85,850 0 0 - - - - -  
Nasarawa   311,950 417,390 165,100 31,730 - - - - -  
Niger   700,610 629,800 549,700 113,610 - - - - -  
Ogun   286,240 93,580 0 0 - - - - -  
Ondo   396,340 120,180 0 0 - - - - -  
Osun   381,930 115,830 0 0 - - - - -  
Oyo   315,820 108,600 64,900 0 - - - - -  
Plateau   656,480 250,450 311,700 74,810 - - - - -  
Rivers   135,860 80,680 0 0 - - - - -  
Sokoto   260,990 163,090 376,800 188,530 - - - - -  
Taraba   605,800 388,160 340,700 93,780 - - - - -  
Yobe   302,700 160,470 271,000 245,260 - - - - -  
Zamfara   252,070 220,620 413,600 85,440 - - - - -  

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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