Contextual data: Nigeria - Rice - All years

‹ 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Nigeria total 4,900,249 6,690,000 7,573,420 4,900,249 4,900,249 4,900,249 8,435,610 8,171,770 8,341,970 4,900,249
Abia   22,342 32,400 34,990 22,342 22,342 22,342 57,310 56,770 58,290 22,342  
Abuja Federal Capital Territory   120,472 287,300 384,480 120,472 120,472 120,472 414,920 404,360 415,000 120,472  
Adamawa   181,479 267,500 353,870 181,479 181,479 181,479 280,570 274,650 275,790 181,479  
Akwa Ibom   5,613 7,900 7,920 5,613 5,613 5,613 24,210 23,320 24,020 5,613  
Anambra   42,093 56,200 62,130 42,093 42,093 42,093 94,950 94,680 99,310 42,093  
Bauchi   110,421 258,300 298,090 110,421 110,421 110,421 245,650 232,440 250,080 110,421  
Bayelsa   67,992 32,900 34,330 67,992 67,992 67,992 96,690 95,950 94,720 67,992  
Benue   335,378 390,000 455,710 335,378 335,378 335,378 537,420 506,680 517,650 335,378  
Borno   148,122 144,000 48,450 148,122 148,122 148,122 189,900 186,360 189,510 148,122  
Cross River   60,427 51,500 53,450 60,427 60,427 60,427 155,380 158,230 163,530 60,427  
Delta   17,791 48,000 49,330 17,791 17,791 17,791 48,980 50,150 50,520 17,791  
Ebonyi   196,802 86,400 89,720 196,802 196,802 196,802 133,730 138,330 145,730 196,802  
Edo   47,812 55,300 67,500 47,812 47,812 47,812 141,040 142,000 137,890 47,812  
Ekiti   70,802 52,600 76,670 70,802 70,802 70,802 135,170 132,550 140,470 70,802  
Enugu   58,227 95,300 98,810 58,227 58,227 58,227 91,830 92,910 94,250 58,227  
Gombe   129,039 236,100 283,720 129,039 129,039 129,039 211,490 209,840 215,080 129,039  
Imo   27,930 59,100 60,700 27,930 27,930 27,930 81,410 84,300 85,490 27,930  
Jigawa   91,974 209,500 235,040 91,974 91,974 91,974 245,020 203,300 215,310 91,974  
Kaduna   532,204 449,400 499,120 532,204 532,204 532,204 349,490 347,010 360,370 532,204  
Kano   242,563 348,200 398,160 242,563 242,563 242,563 421,670 412,140 438,720 242,563  
Katsina   80,470 144,500 188,450 80,470 80,470 80,470 235,060 230,600 220,260 80,470  
Kebbi   149,348 287,200 319,410 149,348 149,348 149,348 412,340 343,240 348,690 149,348  
Kogi   257,019 509,800 525,460 257,019 257,019 257,019 548,240 522,380 534,650 257,019  
Kwara   199,399 348,700 394,010 199,399 199,399 199,399 433,360 419,360 431,940 199,399  
Lagos   27,064 34,500 39,870 27,064 27,064 27,064 80,020 85,160 85,850 27,064  
Nasarawa   204,656 398,600 496,660 204,656 204,656 204,656 412,900 403,950 417,390 204,656  
Niger   458,676 294,500 325,000 458,676 458,676 458,676 626,170 623,130 629,800 458,676  
Ogun   35,498 61,200 68,160 35,498 35,498 35,498 84,830 88,820 93,580 35,498  
Ondo   69,489 79,000 89,140 69,489 69,489 69,489 119,730 117,950 120,180 69,489  
Osun   50,867 62,100 67,200 50,867 50,867 50,867 107,320 110,780 115,830 50,867  
Oyo   70,736 59,600 59,790 70,736 70,736 70,736 104,190 103,650 108,600 70,736  
Plateau   143,348 325,400 330,130 143,348 143,348 143,348 251,930 246,230 250,450 143,348  
Rivers   60,968 49,000 50,310 60,968 60,968 60,968 77,470 76,540 80,680 60,968  
Sokoto   71,036 103,300 122,630 71,036 71,036 71,036 165,070 162,050 163,090 71,036  
Taraba   338,509 328,300 390,100 338,509 338,509 338,509 405,720 386,540 388,160 338,509  
Yobe   81,077 197,000 238,390 81,077 81,077 81,077 162,670 158,870 160,470 81,077  
Zamfara   92,606 239,400 276,520 92,606 92,606 92,606 251,760 246,550 220,620 92,606  

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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