Data for 2015
Arable Land per Person, 2015
2015, as FAO’s 2026 release gives it · stored as published, never rewritten
Arable Land per Person, 2015 covers 206 countries. Kazakhstan is highest, at 1.63685; Singapore is lowest, at 0.00010. The middle country reads 0.11780. Against 2014, 206 values changed (53 up, 153 down), the same countries are covered.
Arable Land per Person · Data for 2015
HighestKazakhstan
1.63685LowestSingapore
0.00010Shaded by value in five groups of equal size, darkest at the highest end.
01Position · derived
The table
Every country and every column of Arable Land per Person, 2015, as published. FAO ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 206 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | KAZCentral Asia | 1.63685 |
| 2 | AUSAustralia and New Zealand | 1.30545 |
| 3 | CANNorthern America | 1.07219 |
| 4 | ARGSouth America | 0.92815 |
| 5 | NERWestern Africa | 0.84255 |
| 6 | RUSEastern Europe | 0.84104 |
| 7 | LTUNorthern Europe | 0.74607 |
| 8 | URYSouth America | 0.72108 |
| 9 | UKREastern Europe | 0.71585 |
| 10 | PRYSouth America | 0.66472 |
| 11 | LVANorthern Europe | 0.62189 |
| 12 | MDAEastern Europe | 0.61108 |
| 13 | BLREastern Europe | 0.60008 |
| 14 | ESTNorthern Europe | 0.51315 |
| 15 | BGREastern Europe | 0.50252 |
| 16 | SDNNorthern Africa | 0.50170 |
| 17 | USANorthern America | 0.48616 |
| 18 | BOLSouth America | 0.45176 |
| 19 | ROUEastern Europe | 0.44298 |
| 20 | HUNEastern Europe | 0.44133 |
| 21 | MNGEastern Asia | 0.43883 |
| 22 | DNKNorthern Europe | 0.41377 |
| 23 | FINNorthern Europe | 0.40921 |
| 24 | GINWestern Africa | 0.40741 |
| 25 | CAFMiddle Africa | 0.38883 |
| 26 | MLIWestern Africa | 0.38756 |
| 27 | TGOWestern Africa | 0.37474 |
| 28 | BFAWestern Africa | 0.37420 |
| 29 | ISLNorthern Europe | 0.36576 |
| 30 | SRBSouthern Europe | 0.36517 |
| 31 | TCDMiddle Africa | 0.35501 |
| 32 | NAMSouthern Africa | 0.33694 |
| 33 | BIHSouthern Europe | 0.29046 |
| 34 | POLEastern Europe | 0.28660 |
| 35 | IMNNorthern Europe | 0.28591 |
| 36 | ZWEEastern Africa | 0.28089 |
| 37 | FRAWestern Europe | 0.27767 |
| 38 | TKMCentral Asia | 0.27684 |
| 39 | CMRMiddle Africa | 0.27237 |
| 40 | BRASouth America | 0.27033 |
| 41 | CUBCaribbean | 0.26729 |
| 42 | ESPSouthern Europe | 0.26449 |
| 43 | TURWestern Asia | 0.26400 |
| 44 | LBYNorthern Africa | 0.26333 |
| 45 | SWENorthern Europe | 0.26280 |
| 46 | KHMSouth-eastern Asia | 0.25229 |
| 47 | SENWestern Africa | 0.25046 |
| 48 | SVKEastern Europe | 0.24890 |
| 49 | BLZCentral America | 0.24696 |
| 50 | NICCentral America | 0.24441 |
| 51 | TZAEastern Africa | 0.24212 |
| 52 | SYRWestern Asia | 0.24016 |
| 53 | THASouth-eastern Asia | 0.23977 |
| 54 | BENWestern Africa | 0.23766 |
| 55 | CZEEastern Europe | 0.23611 |
| 56 | AFGSouthern Asia | 0.22952 |
| 57 | SSDEastern Africa | 0.22848 |
| 58 | ZMBEastern Africa | 0.22562 |
| 59 | TUNNorthern Africa | 0.22539 |
| 60 | ALBSouthern Europe | 0.22520 |
| 61 | SLEWestern Africa | 0.22507 |
| 62 | ERIEastern Africa | 0.22218 |
| 63 | LAOSouth-eastern Asia | 0.22152 |
| 64 | MARNorthern Africa | 0.21664 |
| 65 | MKDSouthern Europe | 0.21648 |
| 66 | MMRSouth-eastern Asia | 0.21400 |
| 67 | MWIEastern Africa | 0.21398 |
| 68 | MOZEastern Africa | 0.21283 |
| 69 | KGZCentral Asia | 0.21202 |
| 70 | ZAFSouthern Africa | 0.21155 |
| 71 | HRVSouthern Europe | 0.20322 |
| 72 | GMBWestern Africa | 0.20229 |
| 73 | AZEWestern Asia | 0.20081 |
| 74 | GRCSouthern Europe | 0.20063 |
| 75 | NGAWestern Africa | 0.18931 |
| 76 | TONPolynesia | 0.18851 |
| 77 | DZANorthern Africa | 0.18646 |
| 78 | UGAEastern Africa | 0.18385 |
| 79 | MEXCentral America | 0.18211 |
| 80 | AGOMiddle Africa | 0.18201 |
| 81 | IRNSouthern Asia | 0.17777 |
| 82 | GNBWestern Africa | 0.16793 |
| 83 | WSMPolynesia | 0.16087 |
| 84 | GABMiddle Africa | 0.15924 |
| 85 | AUTWestern Europe | 0.15575 |
| 86 | GHAWestern Africa | 0.15572 |
| 87 | NORNorthern Europe | 0.15556 |
| 88 | SWZSouthern Africa | 0.15488 |
| 89 | CODMiddle Africa | 0.15376 |
| 90 | CIVWestern Africa | 0.15265 |
| 91 | ETHEastern Africa | 0.15136 |
| 92 | ARMWestern Asia | 0.14867 |
| 93 | DEUWestern Europe | 0.14502 |
| 94 | PANCentral America | 0.14268 |
| 95 | PAKSouthern Asia | 0.13990 |
| 96 | BTNSouthern Asia | 0.13529 |
| 97 | KENEastern Africa | 0.13505 |
| 98 | IRQWestern Asia | 0.13229 |
| 99 | UZBCentral Asia | 0.13142 |
| 100 | GUYSouth America | 0.12784 |
| 101 | PERSouth America | 0.12494 |
| 102 | MDGEastern Africa | 0.11799 |
| 103 | BWASouthern Africa | 0.11782 |
| 104 | INDSouthern Asia | 0.11778 |
| 105 | SAUWestern Asia | 0.11630 |
| 106 | MRTWestern Africa | 0.11347 |
| 107 | SLVCentral America | 0.11270 |
| 108 | HTICaribbean | 0.11213 |
| 109 | SURSouth America | 0.11176 |
| 110 | RWAEastern Africa | 0.11065 |
| 111 | LUXWestern Europe | 0.11025 |
| 112 | HNDCentral America | 0.11021 |
| 113 | ITASouthern Europe | 0.10960 |
| 114 | COGMiddle Africa | 0.10789 |
| 115 | LBRWestern Africa | 0.10731 |
| 116 | KNACaribbean | 0.10619 |
| 117 | LSOSouthern Africa | 0.10406 |
| 118 | NZLAustralia and New Zealand | 0.10370 |
| 119 | PRTSouthern Europe | 0.10330 |
| 120 | BDIEastern Africa | 0.10029 |
| 121 | GEOWestern Asia | 0.09870 |
| 122 | CPVWestern Africa | 0.09758 |
| 123 | IRLNorthern Europe | 0.09634 |
| 124 | TJKCentral Asia | 0.09588 |
| 125 | TLSSouth-eastern Asia | 0.09460 |
| 126 | GBRNorthern Europe | 0.09235 |
| 127 | GTMCentral America | 0.09204 |
| 128 | PRKEastern Asia | 0.09071 |
| 129 | COMEastern Africa | 0.08945 |
| 130 | SVNSouthern Europe | 0.08928 |
| 131 | DMACaribbean | 0.08522 |
| 132 | VENSouth America | 0.08504 |
| 133 | CHNEastern Asia | 0.08325 |
| 134 | CHLSouth America | 0.08275 |
| 135 | CYPWestern Asia | 0.08067 |
| 136 | SOMEastern Africa | 0.07967 |
| 137 | DOMCaribbean | 0.07727 |
| 138 | FJIMelanesia | 0.07642 |
| 139 | VNMSouth-eastern Asia | 0.07544 |
| 140 | VUTMelanesia | 0.07516 |
| 141 | BELWestern Europe | 0.07358 |
| 142 | NPLSouthern Asia | 0.07304 |
| 143 | IDNSouth-eastern Asia | 0.06815 |
| 144 | ECUSouth America | 0.06566 |
| 145 | LKASouthern Asia | 0.06199 |
| 146 | NLDWestern Europe | 0.06151 |
| 147 | SMRSouthern Europe | 0.06034 |
| 148 | MUSEastern Africa | 0.05939 |
| 149 | PHLSouth-eastern Asia | 0.05308 |
| 150 | BGDSouthern Asia | 0.04870 |
| 151 | LIEWestern Europe | 0.04827 |
| 152 | CHEWestern Europe | 0.04810 |
| 153 | CRICentral America | 0.04591 |
| 154 | ATGCaribbean | 0.04474 |
| 155 | JAMCaribbean | 0.04282 |
| 156 | GNQMiddle Africa | 0.03714 |
| 157 | PNGMelanesia | 0.03660 |
| 158 | YEMWestern Asia | 0.03651 |
| 159 | SLBMelanesia | 0.03597 |
| 160 | ISRWestern Asia | 0.03546 |
| 161 | COLSouth America | 0.03322 |
| 162 | JPNEastern Asia | 0.03307 |
| 163 | VGBCaribbean | 0.02899 |
| 164 | EGYNorthern Africa | 0.02877 |
| 165 | KOREastern Asia | 0.02871 |
| 166 | BRBCaribbean | 0.02867 |
| 167 | TCACaribbean | 0.02732 |
| 168 | MYSSouth-eastern Asia | 0.02642 |
| 169 | GRDCaribbean | 0.02616 |
| 170 | JORWestern Asia | 0.02388 |
| 171 | NCLMelanesia | 0.02108 |
| 172 | BHSCaribbean | 0.02076 |
| 173 | LBNWestern Asia | 0.02055 |
| 174 | MLTSouthern Europe | 0.02019 |
| 175 | STPMiddle Africa | 0.01997 |
| 176 | VCTCaribbean | 0.01870 |
| 177 | ABWCaribbean | 0.01853 |
| 178 | TTOCaribbean | 0.01852 |
| 179 | FSMMicronesia | 0.01840 |
| 180 | ASMPolynesia | 0.01721 |
| 181 | KIRMicronesia | 0.01712 |
| 182 | PLWMicronesia | 0.01688 |
| 183 | LCACaribbean | 0.01527 |
| 184 | PRICaribbean | 0.01482 |
| 185 | MNESouthern Europe | 0.01393 |
| 186 | PSEWestern Asia | 0.01342 |
| 187 | OMNWestern Asia | 0.01246 |
| 188 | ANDSouthern Europe | 0.01122 |
| 189 | MHLMicronesia | 0.01025 |
| 190 | BRNSouth-eastern Asia | 0.00947 |
| 191 | VIRCaribbean | 0.00928 |
| 192 | MDVSouthern Asia | 0.00911 |
| 193 | PYFPolynesia | 0.00900 |
| 194 | QATWestern Asia | 0.00789 |
| 195 | GUMMicronesia | 0.00606 |
| 196 | AREWestern Asia | 0.00519 |
| 197 | MNPMicronesia | 0.00485 |
| 198 | BMUNorthern America | 0.00473 |
| 199 | CYMCaribbean | 0.00324 |
| 200 | KWTWestern Asia | 0.00201 |
| 201 | DJIEastern Africa | 0.00196 |
| 202 | SYCEastern Africa | 0.00161 |
| 203 | BHRWestern Asia | 0.00152 |
| 204 | FRONorthern Europe | 0.00131 |
| 205 | HKGEastern Asia | 0.00043 |
| 206 | SGPSouth-eastern Asia | 0.00010 |
02In 2015
At either end
The 5 countries at each end of the headline.
Highest
- 1
Kazakhstan1.63685
- 2
Australia1.30545
- 3
Canada1.07219
- 4
Argentina0.92815
- 5
Niger0.84255
Lowest
- 206
Singapore0.00010
- 205
Hong Kong0.00043
- 204
Faroe Islands0.00131
- 203
Bahrain0.00152
- 202
Seychelles0.00161
Neither end is better. The values describe a shape, not a score. The middle country reads 0.11780. “Shared” marks a value another country also holds.
032014 → 2015
Since 2014
What changed between 2014 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 206values changed, of 206 in both
- 53 · 153rose · fell
- 0unchanged
Rose most
San Marino0.03062 → 0.06034+0.02972
Belize0.22355 → 0.24696+0.02341
Isle of Man0.26343 → 0.28591+0.02248
Argentina0.90594 → 0.92815+0.02221
Samoa0.13997 → 0.16087+0.02089
Fell most
Botswana0.18508 → 0.11782−0.06725
Australia1.36142 → 1.30545−0.05597
Lithuania0.80014 → 0.74607−0.05406
Niger0.87428 → 0.84255−0.03173
New Zealand0.13063 → 0.10370−0.02693
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 FAO’s 2026 release, recalculated on one method. It can differ from what was first published for 2015.
The position is ours
FAO publishes values only; the order is this site’s.
Nothing missing
Every one of the 206 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
206 rows · 8.2 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download arable-land-per-person-2015-nations-inquiry.csv - ↗
The publisher’s original
FAO’s own file, on its own site.
AG.LND.ARBL.HA.PC
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
Food and Agriculture Organization of the United Nations (FAO) (2015). Arable Land per Person, 2015 [data set], describing 2015. As held by Nations Inquiry, https://nationsinquiry.com/datasets/arable-land-per-person/2015
0663 held
Other years
‹ The year before
Arable Land per Person, 2014206 countries
The year after ›
Arable Land per Person, 2016206 countries
All of them
Arable Land per Person: every year63 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Arable Land per Person, 2015: questions and answers
Which country has the highest arable land per person in Arable Land per Person, 2015?
Kazakhstan, at 1.63685, of the 206 countries in the file.
What year does Arable Land per Person, 2015 describe?
2015.
How many countries does Arable Land per Person, 2015 cover?
206.
Where can I download Arable Land per Person, 2015?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Arable Land per Person, 2015 the newest?
No. The newest held here is Arable Land per Person, 2023.