Contextual data: Nigeria - Rice - All years

‹ 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 ›
Nigeria total 2,988,175 3,124,643 3,383,086 3,486,196 3,844,428 3,575,036 3,745,946 4,767,740 4,612,614 5,432,930
Abia   9,580 11,840 19,000 22,380 200 3,280 3,300 4,210 23,800 27,800  
Abuja Federal Capital Territory   3,220 2,970 3,350 3,600 4,860 4,770 5,630 7,180 57,079 158,900  
Adamawa   150,000 110,000 109,700 120,720 142,420 215,940 225,760 187,860 42,270 56,600  
Akwa Ibom   250 260 280 280 30 1,750 1,910 5,613 1,157 1,600  
Anambra   26,830 26,000 28,000 30,500 250 1,950 2,560 3,270 36,628 110,200  
Bauchi   47,460 50,000 45,050 45,640 49,600 36,680 42,360 54,030 66,950 78,200  
Bayelsa   67,992 67,992 67,992 67,992 67,992 67,992 67,992 1,010 78,038 110,300  
Benue   276,080 275,900 272,080 274,690 284,370 266,560 267,720 341,480 306,878 246,000  
Borno   63,120 64,070 166,650 150,180 223,680 223,740 230,040 293,420 146,390 146,400  
Cross River   260 280 330 990 74,920 64,300 65,280 3,190 196,770 97,100  
Delta   2,050 2,050 1,890 9,140 300 1,210 2,030 17,791 12,380 20,200  
Ebonyi   75,150 248,780 256,230 241,740 257,010 248,150 262,520 334,850 407,550 294,800  
Edo   5,480 18,150 18,690 17,640 14,530 13,860 14,600 18,620 23,056 149,300  
Ekiti   50,000 46,150 47,020 48,300 70,802 7,740 51,520 85,730 76,839 99,800  
Enugu   32,060 30,730 31,650 38,710 38,660 36,120 36,380 46,400 76,790 87,800  
Gombe   87,980 88,200 87,630 86,980 100,450 81,040 82,380 105,080 92,600 111,000  
Imo   42 50 370 370 370 610 990 27,930 47,136 25,830  
Jigawa   15,800 21,060 36,840 47,450 53,210 45,360 53,830 68,660 13,490 110,400  
Kaduna   600,000 632,550 630,340 643,380 763,110 560,830 574,220 732,420 360,670 288,200  
Kano   72,840 79,480 87,580 105,600 115,820 306,900 330,890 422,050 268,860 248,300  
Katsina   29,700 21,060 14,710 21,820 25,430 20,590 28,590 36,470 56,820 85,300  
Kebbi   81,100 68,340 76,960 62,000 63,650 53,150 54,600 69,640 58,750 163,600  
Kogi   80,000 77,730 80,060 79,260 80,460 102,490 97,250 104,020 490,429 492,400  
Kwara   22,720 18,710 47,470 73,950 75,750 60,610 61,520 78,470 501,414 498,300  
Lagos   3,220 3,800 4,780 12,790 4,110 5,970 6,330 27,064 29,451 53,800  
Nasarawa   86,000 97,490 127,460 129,560 148,840 85,030 88,430 112,790 184,896 185,300  
Niger   441,680 407,240 459,000 493,240 541,530 484,810 499,150 636,670 141,193 163,100  
Ogun   13,400 13,020 13,800 13,410 13,500 7,690 8,200 35,498 34,941 45,900  
Ondo   41,200 37,570 38,180 38,980 40,570 38,380 33,770 69,489 106,055 147,700  
Osun   50,867 50,867 13,770 28,840 8,110 170 3,280 50,867 36,398 56,600  
Oyo   70,736 70,736 70,736 70,736 70,736 70,736 70,736 290 42,260 157,300  
Plateau   56,000 54,370 64,780 58,380 60,570 94,780 97,800 124,740 170,383 190,400  
Rivers   60,968 60,968 60,968 60,968 60,968 60,968 60,968 60,968 14,760 125,400  
Sokoto   34,050 18,240 34,320 49,600 50,570 56,920 56,180 71,660 58,570 86,600  
Taraba   285,430 294,300 311,400 278,280 277,860 153,400 158,200 401,990 294,233 289,300  
Yobe   21,700 33,200 33,500 29,470 30,300 64,600 66,450 84,760 33,150 98,200  
Zamfara   23,210 20,490 20,520 28,630 28,890 25,960 32,580 41,560 23,580 125,000  

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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