Data for 2016
Agriculture, Forestry and Fishing Value Added per Worker, 2016
2016, as World Bank Group’s 2026 release gives it · stored as published, never rewritten
Agriculture, Forestry and Fishing Value Added per Worker, 2016 covers 174 countries. Iceland is highest, at 117,991; Burundi is lowest, at 254. The middle country reads 5,553. Against 2015, 174 values changed (113 up, 61 down), 5 left.
Agriculture, Forestry and Fishing Value Added per Worker · Data for 2016
HighestIceland
117,991LowestBurundi
254Shaded by value in five groups of equal size, darkest at the better end. A higher value is the better result.
01Position · derived
The table
Every country and every column of Agriculture, Forestry and Fishing Value Added per Worker, 2016, as published. World Bank Group ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 174 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | 117,991 | |
| 2 | 117,963 | |
| 3 | 95,080 | |
| 4 | 91,637 | |
| 5 | 84,270 | |
| 6 | 74,183 | |
| 7 | 70,836 | |
| 8 | 56,609 | |
| 9 | 55,581 | |
| 10 | 50,683 | |
| 11 | 50,149 | |
| 12 | 49,081 | |
| 13 | 48,586 | |
| 14 | 46,609 | |
| 15 | 44,331 | |
| 16 | 41,796 | |
| 17 | 40,900 | |
| 18 | 37,467 | |
| 19 | 36,053 | |
| 20 | 34,975 | |
| 21 | 32,237 | |
| 22 | 31,901 | |
| 23 | 30,164 | |
| 24 | 29,213 | |
| 25 | 25,971 | |
| 26 | 25,745 | |
| 27 | 25,554 | |
| 28 | 25,308 | |
| 29 | 24,756 | |
| 30 | 24,624 | |
| 31 | 23,987 | |
| 32 | 23,544 | |
| 33 | 23,383 | |
| 34 | 23,296 | |
| 35 | 22,641 | |
| 36 | 22,430 | |
| 37 | 21,469 | |
| 38 | 21,160 | |
| 39 | 20,618 | |
| 40 | 20,538 | |
| 41 | 19,867 | |
| 42 | 18,039 | |
| 43 | 17,792 | |
| 44 | 17,773 | |
| 45 | 17,506 | |
| 46 | 15,864 | |
| 47 | 14,524 | |
| 48 | 14,222 | |
| 49 | 13,789 | |
| 50 | 13,695 | |
| 51 | 13,069 | |
| 52 | 12,922 | |
| 53 | 12,910 | |
| 54 | 12,873 | |
| 55 | 12,612 | |
| 56 | 12,527 | |
| 57 | 12,420 | |
| 58 | 11,142 | |
| 59 | 11,121 | |
| 60 | 11,036 | |
| 61 | 10,997 | |
| 62 | 10,942 | |
| 63 | 10,636 | |
| 64 | 10,561 | |
| 65 | 9,796 | |
| 66 | 9,558 | |
| 67 | 9,387 | |
| 68 | 9,052 | |
| 69 | 8,780 | |
| 70 | 8,636 | |
| 71 | 8,358 | |
| 72 | 8,129 | |
| 73 | 8,064 | |
| 74 | 7,895 | |
| 75 | 7,782 | |
| 76 | 7,737 | |
| 77 | 7,714 | |
| 78 | 7,551 | |
| 79 | 7,150 | |
| 80 | 6,762 | |
| 81 | 6,530 | |
| 82 | 6,356 | |
| 83 | 6,345 | |
| 84 | 6,308 | |
| 85 | 6,167 | |
| 86 | 5,667 | |
| 87 | 5,572 | |
| 88 | 5,534 | |
| 89 | 5,369 | |
| 90 | 5,348 | |
| 91 | 5,316 | |
| 92 | 5,304 | |
| 93 | 5,073 | |
| 94 | 4,873 | |
| 95 | 4,847 | |
| 96 | 4,688 | |
| 97 | 4,600 | |
| 98 | 4,590 | |
| 99 | 4,554 | |
| 100 | 4,513 | |
| 101 | 4,379 | |
| 102 | 4,245 | |
| 103 | 4,101 | |
| 104 | 4,018 | |
| 105 | 3,960 | |
| 106 | 3,895 | |
| 107 | 3,807 | |
| 108 | 3,745 | |
| 109 | 3,704 | |
| 110 | 3,697 | |
| 111 | 3,690 | |
| 112 | 3,661 | |
| 113 | 3,503 | |
| 114 | 3,322 | |
| 115 | 3,251 | |
| 116 | 3,142 | |
| 117 | 3,094 | |
| 118 | 2,985 | |
| 119 | 2,973 | |
| 120 | 2,911 | |
| 121 | 2,854 | |
| 122 | 2,850 | |
| 123 | 2,683 | |
| 124 | 2,649 | |
| 125 | 2,573 | |
| 126 | 2,569 | |
| 127 | 2,430 | |
| 128 | 2,299 | |
| 129 | 2,030 | |
| 130 | 2,026 | |
| 131 | 2,024 | |
| 132 | 1,963 | |
| 133 | 1,897 | |
| 134 | 1,790 | |
| 135 | 1,765 | |
| 136 | 1,719 | |
| 137 | 1,668 | |
| 138 | 1,597 | |
| 139 | 1,571 | |
| 140 | 1,561 | |
| 141 | 1,544 | |
| 142 | 1,498 | |
| 143 | 1,444 | |
| 144 | 1,440 | |
| 145 | 1,432 | |
| 146 | 1,407 | |
| 147 | 1,374 | |
| 148 | 1,341 | |
| 149 | 1,316 | |
| 150 | 1,310 | |
| 151 | 1,264 | |
| 152 | 1,250 | |
| 153 | 1,215 | |
| 154 | 1,207 | |
| 155 | 1,160 | |
| 156 | 1,132 | |
| 157 | 1,019 | |
| 158 | 988 | |
| 159 | 943 | |
| 160 | 893 | |
| 161 | 815 | |
| 162 | 767 | |
| 163 | 750 | |
| 164 | 659 | |
| 165 | 638 | |
| 166 | 629 | |
| 167 | 532 | |
| 168 | 523 | |
| 169 | 490 | |
| 170 | 487 | |
| 171 | 347 | |
| 172 | 312 | |
| 173 | 299 | |
| 174 | 254 |
02In 2016
At either end
The 5 countries at each end of the headline.
032015 → 2016
Since 2015
What changed between 2015 and this one: who joined or left, and how far the headline moved.
- +0 / −5countries joined / left
- 174values changed, of 174 in both
- 113 · 61rose · fell
- 0unchanged
Rose most
Fell most
Canada96,546 → 84,270−12,275
Luxembourg46,970 → 34,975−11,995
Belgium64,353 → 55,581−8,772
Australia103,583 → 95,080−8,503
France49,319 → 40,900−8,419
Both years come from the same release, so a difference here is a change in the data, not a revision of it. Every country’s full history is charted on the statistic page.
04Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
One year of the 2026 release
Every year in this series comes from World Bank Group’s 2026 release, recalculated on one method. It can differ from what was first published for 2016.
The position is ours
World Bank Group publishes values only. The order here sorts the published values, and the page says so wherever it prints one.
Which end is better
A higher value is the better result.
Nothing missing
Every one of the 174 countries has every column.
05The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
174 rows · 6.7 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download agriculture-value-added-per-worker-2016-nations-inquiry.csv - ↗
The publisher’s original
World Bank Group’s own file, on its own site.
NV.AGR.EMPL.KD
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: CC BY 4.0. Share, adapt and use commercially. Credit the publisher and say if you changed anything.
Cite this edition
World Bank Group (2016). Agriculture, Forestry and Fishing Value Added per Worker, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/agriculture-value-added-per-worker/2016
0635 held
Other years
‹ The year before
Agriculture, Forestry and Fishing Value Added per Worker, 2015179 countries
The year after ›
Agriculture, Forestry and Fishing Value Added per Worker, 2017174 countries
All of them
Agriculture, Forestry and Fishing Value Added per Worker: every year35 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Agriculture, Forestry and Fishing Value Added per Worker, 2016: questions and answers
Which country has the highest agricultural output per worker in Agriculture, Forestry and Fishing Value Added per Worker, 2016?
Iceland, at 117,991, of the 174 countries in the file.
What year does Agriculture, Forestry and Fishing Value Added per Worker, 2016 describe?
2016.
How many countries does Agriculture, Forestry and Fishing Value Added per Worker, 2016 cover?
174.
Where can I download Agriculture, Forestry and Fishing Value Added per Worker, 2016?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Agriculture, Forestry and Fishing Value Added per Worker, 2016 the newest?
No. The newest held here is Agriculture, Forestry and Fishing Value Added per Worker, 2025.