Contextual data: Nigeria - All crops - 2020

Maize Rice Sorghum Millet Wheat Barley Fonio Oats Teff
Nigeria total 12,403,300 8,171,770 6,590,600 1,905,430 - - - - -
Abia   105,010 56,770 0 0 - - - - -  
Abuja Federal Capital Territory   448,520 404,360 129,000 55,540 - - - - -  
Adamawa   412,960 274,650 288,000 163,660 - - - - -  
Akwa Ibom   87,590 23,320 0 0 - - - - -  
Anambra   104,290 94,680 0 0 - - - - -  
Bauchi   542,090 232,440 425,900 76,560 - - - - -  
Bayelsa   82,580 95,950 0 0 - - - - -  
Benue   379,170 506,680 195,400 78,670 - - - - -  
Borno   618,040 186,360 332,900 75,200 - - - - -  
Cross River   103,710 158,230 0 0 - - - - -  
Delta   154,520 50,150 0 0 - - - - -  
Ebonyi   164,000 138,330 0 0 - - - - -  
Edo   167,880 142,000 0 0 - - - - -  
Ekiti   280,460 132,550 0 0 - - - - -  
Enugu   175,750 92,910 13,800 0 - - - - -  
Gombe   638,210 209,840 324,900 117,320 - - - - -  
Imo   128,710 84,300 0 0 - - - - -  
Jigawa   318,280 203,300 350,900 70,890 - - - - -  
Kaduna   916,620 347,010 425,900 51,940 - - - - -  
Kano   350,440 412,140 584,100 87,560 - - - - -  
Katsina   379,410 230,600 381,400 166,450 - - - - -  
Kebbi   345,670 343,240 389,700 73,450 - - - - -  
Kogi   397,730 522,380 127,500 38,590 - - - - -  
Kwara   325,740 419,360 147,300 30,030 - - - - -  
Lagos   259,950 85,160 0 0 - - - - -  
Nasarawa   308,080 403,950 161,600 31,450 - - - - -  
Niger   698,400 623,130 567,600 120,210 - - - - -  
Ogun   289,900 88,820 0 0 - - - - -  
Ondo   385,960 117,950 0 0 - - - - -  
Osun   349,500 110,780 0 0 - - - - -  
Oyo   305,360 103,650 59,000 0 - - - - -  
Plateau   647,740 246,230 300,600 72,010 - - - - -  
Rivers   132,590 76,540 0 0 - - - - -  
Sokoto   272,700 162,050 370,500 183,260 - - - - -  
Taraba   565,500 386,540 336,100 92,010 - - - - -  
Yobe   294,500 158,870 264,900 240,430 - - - - -  
Zamfara   265,740 246,550 413,600 80,200 - - - - -  

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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