Contextual data: Nigeria - Maize - All years

‹ 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 ›
Nigeria total 5,657,090 5,190,940 5,491,390 5,768,940 5,796,710 6,903,310 7,358,260 7,676,850 8,878,456 8,694,900
Abia   73,540 42,020 58,000 50,670 50,270 35,340 43,810 73,840 90,496 90,500  
Abuja Federal Capital Territory   7,040 4,400 4,420 4,270 11,660 18,800 20,830 39,610 43,929 45,500  
Adamawa   160,000 160,000 158,600 175,610 177,550 143,060 153,710 188,850 189,180 168,100  
Akwa Ibom   65,000 67,000 68,000 70,000 72,250 41,530 45,960 76,490 65,476 67,500  
Anambra   47,960 45,600 55,970 69,000 68,670 48,400 53,660 65,930 90,203 80,800  
Bauchi   134,910 147,780 147,990 164,890 204,960 164,200 217,580 267,310 346,510 373,700  
Bayelsa   1,820 3,270 1,670 1,860 1,860 140 1,080 31,360 35,450 39,700  
Benue   135,370 133,400 135,340 134,700 135,790 137,810 138,640 170,330 165,713 149,500  
Borno   346,450 351,650 374,950 516,270 525,190 572,420 602,520 740,240 197,190 623,900  
Cross River   90,000 94,000 98,080 100,150 100,440 126,410 147,580 181,310 330,655 295,200  
Delta   113,000 113,670 132,680 195,000 195,710 204,990 214,880 203,940 164,523 148,200  
Ebonyi   32,490 22,110 34,480 44,070 45,490 62,070 76,090 93,480 6,329 6,800  
Edo   73,100 80,230 86,230 86,900 73,830 55,030 58,290 151,690 74,248 83,500  
Ekiti   90,020 91,870 92,910 113,300 113,550 106,200 108,250 132,990 342,919 279,900  
Enugu   77,260 79,700 82,090 104,800 102,200 101,720 103,670 97,340 153,860 136,500  
Gombe   176,300 156,730 180,420 177,600 197,740 172,460 206,610 253,840 203,000 209,400  
Imo   372,410 153,750 154,830 151,300 150,340 229,000 234,560 87,980 171,776 152,800  
Jigawa   6,830 5,040 4,180 8,230 8,500 7,680 9,030 11,090 120,480 115,200  
Kaduna   826,800 944,670 859,960 907,500 940,840 2,114,740 2,203,980 1,006,060 770,680 684,500  
Kano   129,820 103,680 135,650 123,050 22,280 21,150 32,920 140,550 546,820 558,800  
Katsina   176,210 147,880 142,230 155,440 163,330 245,600 264,160 324,540 273,130 256,000  
Kebbi   39,100 22,500 28,100 36,000 36,490 29,020 35,700 43,860 150,880 141,700  
Kogi   240,800 250,000 255,000 248,600 249,690 198,080 212,490 261,060 375,912 272,100  
Kwara   70,910 100,400 86,740 86,020 93,150 71,090 76,480 164,030 195,196 173,400  
Lagos   1,230 1,360 1,630 1,850 1,850 1,930 2,570 43,200 211,860 188,200  
Nasarawa   88,040 82,400 91,020 123,640 133,050 134,630 142,720 175,340 181,215 161,700  
Niger   540,220 337,630 338,880 327,140 321,620 466,570 511,850 628,850 661,072 587,100  
Ogun   82,210 75,780 79,930 95,120 101,940 103,660 109,700 134,780 536,887 394,400  
Ondo   172,440 168,020 185,130 175,200 196,770 192,650 92,200 193,360 553,087 556,200  
Osun   73,440 67,680 71,040 67,340 73,280 72,370 93,710 115,130 149,573 150,400  
Oyo   286,460 253,720 294,130 281,890 305,420 177,440 269,450 431,140 224,850 199,600  
Plateau   352,450 298,450 369,300 340,070 356,860 369,570 388,890 477,780 643,419 571,900  
Rivers   90,140 93,990 97,710 103,280 24,930 25,700 26,110 56,100 96,100 99,900  
Sokoto   13,350 14,340 13,480 12,230 12,330 16,010 17,110 21,020 16,900 119,300  
Taraba   406,400 414,600 512,300 444,430 453,310 356,270 368,290 492,510 430,518 433,000  
Yobe   18,200 15,400 15,600 16,400 16,840 25,480 18,330 22,520 18,150 25,300  
Zamfara   45,370 46,220 42,720 55,120 56,730 54,090 54,850 77,400 50,270 54,700  

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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