Data for 2016
Agriculture, Forestry and Fishing Value Added (% of GDP), 2016
2016, as World Bank Group’s 2026 release gives it · stored as published, never rewritten
Agriculture, Forestry and Fishing Value Added (% of GDP), 2016 covers 200 countries. Chad is highest, at 39.3716; San Marino is lowest, at 0.0136. The middle country reads 6.2895. Against 2015, 198 values changed (108 up, 90 down), 2 countries joined, 2 left.
Agriculture, Forestry and Fishing Value Added (% of GDP) · Data for 2016
HighestChad
39.3716LowestSan Marino
0.0136Shaded by value in five groups of equal size, darkest at the highest end.
01Position · derived
The table
Every country and every column of Agriculture, Forestry and Fishing Value Added (% of GDP), 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 200 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | TCDMiddle Africa | 39.3716 |
| 2 | NERWestern Africa | 37.2080 |
| 3 | GNBWestern Africa | 36.3488 |
| 4 | LBRWestern Africa | 35.9187 |
| 5 | BDIEastern Africa | 35.5553 |
| 6 | ETHEastern Africa | 34.6970 |
| 7 | SLBMelanesia | 34.4468 |
| 8 | SYRWestern Asia | 34.1669 |
| 9 | SLEWestern Africa | 32.5777 |
| 10 | CAFMiddle Africa | 31.9190 |
| 11 | SDNNorthern Africa | 31.6000 |
| 12 | COMEastern Africa | 31.3685 |
| 13 | MLIWestern Africa | 30.9987 |
| 14 | BENWestern Africa | 27.7536 |
| 15 | TZAEastern Africa | 27.4441 |
| 16 | KIRMicronesia | 27.0677 |
| 17 | FSMMicronesia | 27.0008 |
| 18 | AFGSouthern Asia | 25.7403 |
| 19 | UZBCentral Asia | 25.7139 |
| 20 | MMRSouth-eastern Asia | 25.6286 |
| 21 | NPLSouthern Asia | 25.5179 |
| 22 | MDGEastern Africa | 25.1335 |
| 23 | YEMWestern Asia | 25.0909 |
| 24 | RWAEastern Africa | 24.2955 |
| 25 | MOZEastern Africa | 23.6273 |
| 26 | UGAEastern Africa | 22.6603 |
| 27 | VUTMelanesia | 22.5922 |
| 28 | PAKSouthern Asia | 22.3283 |
| 29 | MWIEastern Africa | 22.1929 |
| 30 | GMBWestern Africa | 21.8614 |
| 31 | MRTWestern Africa | 21.7392 |
| 32 | BFAWestern Africa | 21.7147 |
| 33 | NGAWestern Africa | 20.9831 |
| 34 | TJKCentral Asia | 20.8570 |
| 35 | GHAWestern Africa | 20.8443 |
| 36 | GUYSouth America | 20.3872 |
| 37 | TGOWestern Africa | 20.3851 |
| 38 | KENEastern Africa | 20.0345 |
| 39 | FRONorthern Europe | 19.4105 |
| 40 | ALBSouthern Europe | 19.1672 |
| 41 | KHMSouth-eastern Asia | 18.9080 |
| 42 | GRLNorthern America | 18.4117 |
| 43 | HTICaribbean | 17.9835 |
| 44 | PNGMelanesia | 17.8663 |
| 45 | GINWestern Africa | 17.5899 |
| 46 | CIVWestern Africa | 17.4350 |
| 47 | LAOSouth-eastern Asia | 17.2302 |
| 48 | CMRMiddle Africa | 17.1927 |
| 49 | TLSSouth-eastern Asia | 17.0631 |
| 50 | TONPolynesia | 16.6067 |
| 51 | ARMWestern Asia | 16.3905 |
| 52 | INDSouthern Asia | 16.3638 |
| 53 | NICCentral America | 14.9153 |
| 54 | AGOMiddle Africa | 14.4558 |
| 55 | SENWestern Africa | 14.4140 |
| 56 | VNMSouth-eastern Asia | 13.8183 |
| 57 | DMACaribbean | 13.5004 |
| 58 | IDNSouth-eastern Asia | 13.4787 |
| 59 | BGDSouthern Asia | 13.4648 |
| 60 | STPMiddle Africa | 13.0514 |
| 61 | KGZCentral Asia | 12.8345 |
| 62 | MHLMicronesia | 12.7277 |
| 63 | MNGEastern Asia | 12.6278 |
| 64 | MDAEastern Europe | 12.4797 |
| 65 | CODMiddle Africa | 12.2896 |
| 66 | HNDCentral America | 12.0499 |
| 67 | BTNSouthern Asia | 12.0024 |
| 68 | EGYNorthern Africa | 11.7693 |
| 69 | UKREastern Europe | 11.7257 |
| 70 | BOLSouth America | 11.1719 |
| 71 | DZANorthern Africa | 11.0683 |
| 72 | SURSouth America | 10.7661 |
| 73 | PRYSouth America | 10.6965 |
| 74 | FJIMelanesia | 10.6643 |
| 75 | TKMCentral Asia | 10.5274 |
| 76 | MARNorthern Africa | 10.3220 |
| 77 | PHLSouth-eastern Asia | 10.2051 |
| 78 | GTMCentral America | 9.6614 |
| 79 | MKDSouthern Europe | 9.1729 |
| 80 | WSMPolynesia | 8.6444 |
| 81 | TUNNorthern Africa | 8.5254 |
| 82 | THASouth-eastern Asia | 8.4781 |
| 83 | MYSSouth-eastern Asia | 8.4625 |
| 84 | IRNSouthern Asia | 8.4479 |
| 85 | XKXSouthern Europe | 8.1715 |
| 86 | ECUSouth America | 8.0721 |
| 87 | GEOWestern Asia | 8.0033 |
| 88 | CHNEastern Asia | 7.9007 |
| 89 | ZWEEastern Africa | 7.8736 |
| 90 | BLZCentral America | 7.7035 |
| 91 | PSEWestern Asia | 7.6038 |
| 92 | LKASouthern Asia | 7.2617 |
| 93 | PERSouth America | 6.9350 |
| 94 | BLREastern Europe | 6.8953 |
| 95 | COGMiddle Africa | 6.7637 |
| 96 | VCTCaribbean | 6.7511 |
| 97 | NAMSouthern Africa | 6.7201 |
| 98 | URYSouth America | 6.6787 |
| 99 | COLSouth America | 6.6064 |
| 100 | CPVWestern Africa | 6.3135 |
| 101 | TURWestern Asia | 6.2656 |
| 102 | ARGSouth America | 6.2646 |
| 103 | ZMBEastern Africa | 6.2285 |
| 104 | GRDCaribbean | 6.2063 |
| 105 | BIHSouthern Europe | 6.1656 |
| 106 | JAMCaribbean | 6.0983 |
| 107 | SLVCentral America | 5.7322 |
| 108 | SRBSouthern Europe | 5.7066 |
| 109 | MDVSouthern Asia | 5.6286 |
| 110 | AZEWestern Asia | 5.6051 |
| 111 | NZLAustralia and New Zealand | 5.5482 |
| 112 | SWZSouthern Africa | 5.3769 |
| 113 | DOMCaribbean | 5.0270 |
| 114 | GABMiddle Africa | 4.9731 |
| 115 | LSOSouthern Africa | 4.9241 |
| 116 | CRICentral America | 4.9144 |
| 117 | BRASouth America | 4.8914 |
| 118 | MNESouthern Europe | 4.8061 |
| 119 | JORWestern Asia | 4.6483 |
| 120 | LBYNorthern Africa | 4.6118 |
| 121 | KAZCentral Asia | 4.5560 |
| 122 | ISLNorthern Europe | 4.4714 |
| 123 | ROUEastern Europe | 4.2922 |
| 124 | CHLSouth America | 4.1991 |
| 125 | BGREastern Europe | 4.0549 |
| 126 | IRQWestern Asia | 3.9772 |
| 127 | CUBCaribbean | 3.9383 |
| 128 | HUNEastern Europe | 3.8677 |
| 129 | RUSEastern Europe | 3.8402 |
| 130 | GRCSouthern Europe | 3.4581 |
| 131 | LVANorthern Europe | 3.3253 |
| 132 | MEXCentral America | 3.2463 |
| 133 | PYFPolynesia | 3.2171 |
| 134 | LTUNorthern Europe | 3.1206 |
| 135 | PLWMicronesia | 3.0675 |
| 136 | HRVSouthern Europe | 3.0589 |
| 137 | MUSEastern Africa | 3.0576 |
| 138 | SAUWestern Asia | 2.9180 |
| 139 | ESPSouthern Europe | 2.8152 |
| 140 | PANCentral America | 2.7805 |
| 141 | LBNWestern Asia | 2.7271 |
| 142 | POLEastern Europe | 2.6238 |
| 143 | ZAFSouthern Africa | 2.4142 |
| 144 | AUSAustralia and New Zealand | 2.4130 |
| 145 | GNQMiddle Africa | 2.3322 |
| 146 | CZEEastern Europe | 2.1481 |
| 147 | CYPWestern Asia | 2.1438 |
| 148 | FINNorthern Europe | 2.0898 |
| 149 | LCACaribbean | 2.0771 |
| 150 | ESTNorthern Europe | 2.0716 |
| 151 | SVKEastern Europe | 2.0626 |
| 152 | OMNWestern Asia | 1.9853 |
| 153 | BWASouthern Africa | 1.9759 |
| 154 | NCLMelanesia | 1.9267 |
| 155 | PRTSouthern Europe | 1.9224 |
| 156 | SYCEastern Africa | 1.9149 |
| 157 | NORNorthern Europe | 1.8881 |
| 158 | NLDWestern Europe | 1.8640 |
| 159 | CANNorthern America | 1.8622 |
| 160 | SVNSouthern Europe | 1.8513 |
| 161 | ITASouthern Europe | 1.8492 |
| 162 | KOREastern Asia | 1.7395 |
| 163 | BRBCaribbean | 1.6959 |
| 164 | ISRWestern Asia | 1.4587 |
| 165 | ATGCaribbean | 1.4585 |
| 166 | FRAWestern Europe | 1.3380 |
| 167 | SWENorthern Europe | 1.2812 |
| 168 | BRNSouth-eastern Asia | 1.2037 |
| 169 | AUTWestern Europe | 1.1493 |
| 170 | JPNEastern Asia | 1.1044 |
| 171 | MLTSouthern Europe | 1.0103 |
| 172 | DJIEastern Africa | 0.9956 |
| 173 | TTOCaribbean | 0.9924 |
| 174 | USANorthern America | 0.9371 |
| 175 | DNKNorthern Europe | 0.9288 |
| 176 | IRLNorthern Europe | 0.9259 |
| 177 | BHSCaribbean | 0.8770 |
| 178 | PRICaribbean | 0.8057 |
| 179 | KNACaribbean | 0.7898 |
| 180 | Channel IslandsCHINorthern Europe | 0.7751 |
| 181 | AREWestern Asia | 0.7408 |
| 182 | DEUWestern Europe | 0.7305 |
| 183 | BELWestern Europe | 0.6732 |
| 184 | CHEWestern Europe | 0.6544 |
| 185 | GBRNorthern Europe | 0.5905 |
| 186 | IMNNorthern Europe | 0.5901 |
| 187 | ANDSouthern Europe | 0.5220 |
| 188 | KWTWestern Asia | 0.5186 |
| 189 | CYMCaribbean | 0.3995 |
| 190 | TCACaribbean | 0.3678 |
| 191 | BHRWestern Asia | 0.3160 |
| 192 | BMUNorthern America | 0.3070 |
| 193 | LUXWestern Europe | 0.2142 |
| 194 | QATWestern Asia | 0.1839 |
| 195 | CUWCaribbean | 0.1696 |
| 196 | LIEWestern Europe | 0.1155 |
| 197 | HKGEastern Asia | 0.0762 |
| 198 | SGPSouth-eastern Asia | 0.0313 |
| 199 | ABWCaribbean | 0.0186 |
| 200 | SMRSouthern Europe | 0.0136 |
02In 2016
At either end
The 5 countries at each end of the headline.
Highest
- 1
Chad39.3716
- 2
Niger37.2080
- 3
Guinea-Bissau36.3488
- 4
Liberia35.9187
- 5
Burundi35.5553
Lowest
- 200
San Marino0.0136
- 199
Aruba0.0186
- 198
Singapore0.0313
- 197
Hong Kong0.0762
- 196
Liechtenstein0.1155
Neither end is better. The values describe a shape, not a score. The middle country reads 6.2895. “Shared” marks a value another country also holds.
032015 → 2016
Since 2015
What changed between 2015 and this one: who joined or left, and how far the headline moved.
- +2 / −2countries joined / left
- 198values changed, of 198 in both
- 108 · 90rose · fell
- 0unchanged
Rose most
Chad33.6210 → 39.3716+5.7506
Afghanistan20.6343 → 25.7403+5.1060
Yemen20.2059 → 25.0909+4.8850
Niger32.4170 → 37.2080+4.7910
Kiribati22.9197 → 27.0677+4.1480
Fell most
Guyana25.4431 → 20.3872−5.0559
Eswatini7.3786 → 5.3769−2.0017
Belize9.6139 → 7.7035−1.9104
Sierra Leone34.3026 → 32.5777−1.7249
Iran10.0916 → 8.4479−1.6437
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 is this site’s.
Nothing missing
Every one of the 200 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
200 rows · 7.6 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download agriculture-value-added-2016-nations-inquiry.csv - ↗
The publisher’s original
World Bank Group’s own file, on its own site.
NV.AGR.TOTL.ZS
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 · what it allows, in plain words
Cite this edition
World Bank Group (2016). Agriculture, Forestry and Fishing Value Added (% of GDP), 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/agriculture-value-added/2016
0651 held
Other years
‹ The year before
Agriculture, Forestry and Fishing Value Added (% of GDP), 2015200 countries
The year after ›
Agriculture, Forestry and Fishing Value Added (% of GDP), 2017200 countries
All of them
Agriculture, Forestry and Fishing Value Added (% of GDP): every year51 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Agriculture, Forestry and Fishing Value Added (% of GDP), 2016: questions and answers
Which country has the highest Agriculture share of GDP in Agriculture, Forestry and Fishing Value Added (% of GDP), 2016?
Chad, at 39.3716, of the 200 countries in the file.
What year does Agriculture, Forestry and Fishing Value Added (% of GDP), 2016 describe?
2016.
How many countries does Agriculture, Forestry and Fishing Value Added (% of GDP), 2016 cover?
200.
Where can I download Agriculture, Forestry and Fishing Value Added (% of GDP), 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 (% of GDP), 2016 the newest?
No. The newest held here is Agriculture, Forestry and Fishing Value Added (% of GDP), 2025.