Data for 2014
Agriculture, Forestry and Fishing Value Added per Worker, 2014
2014, as World Bank Group’s 2026 release gives it · stored as published, never rewritten
Agriculture, Forestry and Fishing Value Added per Worker, 2014 covers 175 countries. Israel is highest, at 113,237.6; Burundi is lowest, at 271.3. The middle country reads 5,219.3. Against 2013, 175 values changed (121 up, 54 down), the same countries are covered.
Agriculture, Forestry and Fishing Value Added per Worker · Data for 2014
HighestIsrael
113,237.6LowestBurundi
271.3Shaded 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, 2014, 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 175 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | 113,237.6 | |
| 2 | 104,906.0 | |
| 3 | 97,859.1 | |
| 4 | 96,765.6 | |
| 5 | 88,613.0 | |
| 6 | 68,831.8 | |
| 7 | 67,778.8 | |
| 8 | 54,142.7 | |
| 9 | 53,474.3 | |
| 10 | 53,324.5 | |
| 11 | 48,463.8 | |
| 12 | 48,164.7 | |
| 13 | 47,902.8 | |
| 14 | 47,698.6 | |
| 15 | 45,805.8 | |
| 16 | 43,551.6 | |
| 17 | 41,921.1 | |
| 18 | 41,472.8 | |
| 19 | 36,193.9 | |
| 20 | 33,316.7 | |
| 21 | 32,836.1 | |
| 22 | 30,522.4 | |
| 23 | 28,719.9 | |
| 24 | 28,666.3 | |
| 25 | 26,365.3 | |
| 26 | 26,326.9 | |
| 27 | 26,276.4 | |
| 28 | 25,833.4 | |
| 29 | 25,172.2 | |
| 30 | 23,887.9 | |
| 31 | 23,782.0 | |
| 32 | 22,998.1 | |
| 33 | 22,936.1 | |
| 34 | 22,536.2 | |
| 35 | 22,419.4 | |
| 36 | 22,070.8 | |
| 37 | 21,323.4 | |
| 38 | 19,977.3 | |
| 39 | 19,616.9 | |
| 40 | 18,714.2 | |
| 41 | 18,696.1 | |
| 42 | 18,431.3 | |
| 43 | 16,698.1 | |
| 44 | 16,621.3 | |
| 45 | 14,944.9 | |
| 46 | 14,392.0 | |
| 47 | 14,025.0 | |
| 48 | 13,811.2 | |
| 49 | 13,698.0 | |
| 50 | 13,581.4 | |
| 51 | 13,567.6 | |
| 52 | 12,757.1 | |
| 53 | 12,300.8 | |
| 54 | 11,898.2 | |
| 55 | 11,589.8 | |
| 56 | 11,237.2 | |
| 57 | 11,209.4 | |
| 58 | 11,020.9 | |
| 59 | 10,860.4 | |
| 60 | 10,706.7 | |
| 61 | 10,568.1 | |
| 62 | 10,565.8 | |
| 63 | 10,179.3 | |
| 64 | 9,850.6 | |
| 65 | 9,633.3 | |
| 66 | 9,390.8 | |
| 67 | 9,350.7 | |
| 68 | 9,147.5 | |
| 69 | 8,778.7 | |
| 70 | 8,709.0 | |
| 71 | 8,662.5 | |
| 72 | 8,478.5 | |
| 73 | 8,412.6 | |
| 74 | 8,126.1 | |
| 75 | 7,801.2 | |
| 76 | 7,629.6 | |
| 77 | 7,433.3 | |
| 78 | 7,411.6 | |
| 79 | 6,448.4 | |
| 80 | 6,443.5 | |
| 81 | 6,431.8 | |
| 82 | 6,359.2 | |
| 83 | 6,086.8 | |
| 84 | 5,769.8 | |
| 85 | 5,447.0 | |
| 86 | 5,286.6 | |
| 87 | 5,267.4 | |
| 88 | 5,219.3 | |
| 89 | 5,211.7 | |
| 90 | 5,097.8 | |
| 91 | 4,882.6 | |
| 92 | 4,690.6 | |
| 93 | 4,617.0 | |
| 94 | 4,610.2 | |
| 95 | 4,411.1 | |
| 96 | 4,374.9 | |
| 97 | 4,285.4 | |
| 98 | 4,161.8 | |
| 99 | 4,067.0 | |
| 100 | 3,992.7 | |
| 101 | 3,987.8 | |
| 102 | 3,931.3 | |
| 103 | 3,808.1 | |
| 104 | 3,761.8 | |
| 105 | 3,746.5 | |
| 106 | 3,603.9 | |
| 107 | 3,580.6 | |
| 108 | 3,566.2 | |
| 109 | 3,535.8 | |
| 110 | 3,508.2 | |
| 111 | 3,413.4 | |
| 112 | 3,396.4 | |
| 113 | 3,278.3 | |
| 114 | 3,253.5 | |
| 115 | 3,241.8 | |
| 116 | 3,055.6 | |
| 117 | 3,011.6 | |
| 118 | 2,942.6 | |
| 119 | 2,914.9 | |
| 120 | 2,860.4 | |
| 121 | 2,804.9 | |
| 122 | 2,730.7 | |
| 123 | 2,690.3 | |
| 124 | 2,596.5 | |
| 125 | 2,475.2 | |
| 126 | 2,440.3 | |
| 127 | 2,298.4 | |
| 128 | 2,288.1 | |
| 129 | 1,912.2 | |
| 130 | 1,906.2 | |
| 131 | 1,890.5 | |
| 132 | 1,852.8 | |
| 133 | 1,825.4 | |
| 134 | 1,788.3 | |
| 135 | 1,742.1 | |
| 136 | 1,641.9 | |
| 137 | 1,609.2 | |
| 138 | 1,598.7 | |
| 139 | 1,566.9 | |
| 140 | 1,489.2 | |
| 141 | 1,418.3 | |
| 142 | 1,399.4 | |
| 143 | 1,382.1 | |
| 144 | 1,376.6 | |
| 145 | 1,370.3 | |
| 146 | 1,357.6 | |
| 147 | 1,338.3 | |
| 148 | 1,287.5 | |
| 149 | 1,272.9 | |
| 150 | 1,266.5 | |
| 151 | 1,257.8 | |
| 152 | 1,257.6 | |
| 153 | 1,239.3 | |
| 154 | 1,223.5 | |
| 155 | 1,074.7 | |
| 156 | 1,018.5 | |
| 157 | 944.5 | |
| 158 | 932.8 | |
| 159 | 839.6 | |
| 160 | 837.2 | |
| 161 | 788.1 | |
| 162 | 731.0 | |
| 163 | 680.6 | |
| 164 | 629.1 | |
| 165 | 580.7 | |
| 166 | 560.5 | |
| 167 | 543.6 | |
| 168 | 491.8 | |
| 169 | 471.0 | |
| 170 | 411.7 | |
| 171 | 390.0 | |
| 172 | 388.2 | |
| 173 | 334.1 | |
| 174 | 309.0 | |
| 175 | 271.3 |
02In 2014
At either end
The 5 countries at each end of the headline.
Lowest
- 175
Burundi271.3
- 174
DR Congo309.0
- 173
Madagascar334.1
- 172
Zambia388.2
- 171
South Sudan390.0
A higher value is the better result. The middle country reads 5,219.3. “Shared” marks a value another country also holds.
032013 → 2014
Since 2013
What changed between 2013 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 175values changed, of 175 in both
- 121 · 54rose · fell
- 0unchanged
Rose most
Fell most
Iceland116,095.6 → 104,906.0−11,189.5
Cyprus25,669.9 → 14,944.9−10,725.0
Montenegro23,747.3 → 16,698.1−7,049.3
Syria14,326.6 → 8,412.6−5,914.0
Canada91,340.7 → 88,613.0−2,727.7
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 2014.
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 175 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
175 rows · 6.8 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-2014-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 (2014). Agriculture, Forestry and Fishing Value Added per Worker, 2014 [data set], describing 2014. As held by Nations Inquiry, https://nationsinquiry.com/datasets/agriculture-value-added-per-worker/2014
0635 held
Other years
‹ The year before
Agriculture, Forestry and Fishing Value Added per Worker, 2013175 countries
The year after ›
Agriculture, Forestry and Fishing Value Added per Worker, 2015179 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, 2014: questions and answers
Which country has the highest agricultural output per worker in Agriculture, Forestry and Fishing Value Added per Worker, 2014?
Israel, at 113,237.6, of the 175 countries in the file.
What year does Agriculture, Forestry and Fishing Value Added per Worker, 2014 describe?
2014.
How many countries does Agriculture, Forestry and Fishing Value Added per Worker, 2014 cover?
175.
Where can I download Agriculture, Forestry and Fishing Value Added per Worker, 2014?
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, 2014 the newest?
No. The newest held here is Agriculture, Forestry and Fishing Value Added per Worker, 2025.