Data for 2016
Arable Land per Person, 2016
2016, as FAO’s 2026 release gives it · stored as published, never rewritten
Arable Land per Person, 2016 covers 206 countries. Kazakhstan is highest, at 1.61418; Singapore is lowest, at 0.00010. The middle country reads 0.11624. Against 2015, 206 values changed (53 up, 153 down), the same countries are covered.
Arable Land per Person · Data for 2016
HighestKazakhstan
1.61418LowestSingapore
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, 2016, 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 | 1.61418 |
| 2 | AUSAustralia and New Zealand | 1.24249 |
| 3 | CANNorthern America | 1.06699 |
| 4 | ARGSouth America | 0.91192 |
| 5 | NERWestern Africa | 0.84599 |
| 6 | RUSEastern Europe | 0.83887 |
| 7 | LTUNorthern Europe | 0.74472 |
| 8 | UKREastern Europe | 0.71851 |
| 9 | PRYSouth America | 0.66425 |
| 10 | URYSouth America | 0.65881 |
| 11 | LVANorthern Europe | 0.65730 |
| 12 | MDAEastern Europe | 0.62001 |
| 13 | BLREastern Europe | 0.60023 |
| 14 | ESTNorthern Europe | 0.52896 |
| 15 | BGREastern Europe | 0.50710 |
| 16 | SDNNorthern Africa | 0.49406 |
| 17 | USANorthern America | 0.48378 |
| 18 | HUNEastern Europe | 0.44294 |
| 19 | ROUEastern Europe | 0.43558 |
| 20 | BOLSouth America | 0.43256 |
| 21 | MNGEastern Asia | 0.42839 |
| 22 | DNKNorthern Europe | 0.41384 |
| 23 | FINNorthern Europe | 0.40871 |
| 24 | GINWestern Africa | 0.40397 |
| 25 | MLIWestern Africa | 0.38538 |
| 26 | CAFMiddle Africa | 0.38187 |
| 27 | BFAWestern Africa | 0.36992 |
| 28 | SRBSouthern Europe | 0.36808 |
| 29 | TGOWestern Africa | 0.36801 |
| 30 | ISLNorthern Europe | 0.36072 |
| 31 | TCDMiddle Africa | 0.35065 |
| 32 | NAMSouthern Africa | 0.32797 |
| 33 | BIHSouthern Europe | 0.29542 |
| 34 | TKMCentral Asia | 0.28472 |
| 35 | POLEastern Europe | 0.28459 |
| 36 | ZWEEastern Africa | 0.27681 |
| 37 | IMNNorthern Europe | 0.27556 |
| 38 | FRAWestern Europe | 0.27510 |
| 39 | BRASouth America | 0.27133 |
| 40 | ESPSouthern Europe | 0.26555 |
| 41 | CUBCaribbean | 0.26534 |
| 42 | CMRMiddle Africa | 0.26435 |
| 43 | LBYNorthern Africa | 0.25934 |
| 44 | SWENorthern Europe | 0.25855 |
| 45 | TURWestern Asia | 0.25710 |
| 46 | KHMSouth-eastern Asia | 0.25052 |
| 47 | SVKEastern Europe | 0.24803 |
| 48 | SYRWestern Asia | 0.24303 |
| 49 | BLZCentral America | 0.24129 |
| 50 | NICCentral America | 0.24115 |
| 51 | SENWestern Africa | 0.24011 |
| 52 | BENWestern Africa | 0.23936 |
| 53 | THASouth-eastern Asia | 0.23806 |
| 54 | TZAEastern Africa | 0.23738 |
| 55 | CZEEastern Europe | 0.23575 |
| 56 | MARNorthern Africa | 0.23473 |
| 57 | SSDEastern Africa | 0.23107 |
| 58 | ALBSouthern Europe | 0.23064 |
| 59 | AFGSouthern Asia | 0.22273 |
| 60 | TUNNorthern Africa | 0.22237 |
| 61 | ERIEastern Africa | 0.22082 |
| 62 | SLEWestern Africa | 0.21984 |
| 63 | ZMBEastern Africa | 0.21875 |
| 64 | LAOSouth-eastern Asia | 0.21871 |
| 65 | MKDSouthern Europe | 0.21822 |
| 66 | HRVSouthern Europe | 0.21281 |
| 67 | MMRSouth-eastern Asia | 0.21260 |
| 68 | MWIEastern Africa | 0.21142 |
| 69 | ZAFSouthern Africa | 0.20957 |
| 70 | KGZCentral Asia | 0.20854 |
| 71 | MOZEastern Africa | 0.20668 |
| 72 | AZEWestern Asia | 0.20486 |
| 73 | GRCSouthern Europe | 0.19859 |
| 74 | GMBWestern Africa | 0.19704 |
| 75 | TONPolynesia | 0.18953 |
| 76 | NGAWestern Africa | 0.18486 |
| 77 | AGOMiddle Africa | 0.18322 |
| 78 | DZANorthern Africa | 0.18125 |
| 79 | MEXCentral America | 0.17790 |
| 80 | UGAEastern Africa | 0.17784 |
| 81 | IRNSouthern Asia | 0.17524 |
| 82 | GNBWestern Africa | 0.17187 |
| 83 | LSOSouthern Africa | 0.16523 |
| 84 | GABMiddle Africa | 0.15474 |
| 85 | SWZSouthern Africa | 0.15398 |
| 86 | AUTWestern Europe | 0.15389 |
| 87 | GHAWestern Africa | 0.15386 |
| 88 | NORNorthern Europe | 0.15381 |
| 89 | CODMiddle Africa | 0.15082 |
| 90 | ARMWestern Asia | 0.14918 |
| 91 | ETHEastern Africa | 0.14848 |
| 92 | CIVWestern Africa | 0.14547 |
| 93 | DEUWestern Europe | 0.14284 |
| 94 | PAKSouthern Asia | 0.14077 |
| 95 | PANCentral America | 0.14023 |
| 96 | KENEastern Africa | 0.13484 |
| 97 | BTNSouthern Asia | 0.13371 |
| 98 | IRQWestern Asia | 0.12917 |
| 99 | UZBCentral Asia | 0.12899 |
| 100 | GUYSouth America | 0.12704 |
| 101 | WSMPolynesia | 0.12659 |
| 102 | PERSouth America | 0.12250 |
| 103 | INDSouthern Asia | 0.11631 |
| 104 | BWASouthern Africa | 0.11616 |
| 105 | MDGEastern Africa | 0.11494 |
| 106 | NZLAustralia and New Zealand | 0.11476 |
| 107 | SLVCentral America | 0.11373 |
| 108 | SAUWestern Asia | 0.11172 |
| 109 | ITASouthern Europe | 0.11140 |
| 110 | SURSouth America | 0.11059 |
| 111 | HTICaribbean | 0.11058 |
| 112 | MRTWestern Africa | 0.11011 |
| 113 | HNDCentral America | 0.10816 |
| 114 | RWAEastern Africa | 0.10806 |
| 115 | LUXWestern Europe | 0.10629 |
| 116 | KNACaribbean | 0.10621 |
| 117 | COGMiddle Africa | 0.10531 |
| 118 | LBRWestern Africa | 0.10514 |
| 119 | BDIEastern Africa | 0.10098 |
| 120 | CPVWestern Africa | 0.09755 |
| 121 | IRLNorthern Europe | 0.09679 |
| 122 | TJKCentral Asia | 0.09655 |
| 123 | PRTSouthern Europe | 0.09513 |
| 124 | TLSSouth-eastern Asia | 0.09248 |
| 125 | GEOWestern Asia | 0.09229 |
| 126 | GBRNorthern Europe | 0.09185 |
| 127 | GTMCentral America | 0.09140 |
| 128 | PRKEastern Asia | 0.08989 |
| 129 | SVNSouthern Europe | 0.08923 |
| 130 | COMEastern Africa | 0.08763 |
| 131 | DMACaribbean | 0.08620 |
| 132 | VENSouth America | 0.08451 |
| 133 | CHNEastern Asia | 0.08175 |
| 134 | DOMCaribbean | 0.08057 |
| 135 | CHLSouth America | 0.08050 |
| 136 | FJIMelanesia | 0.07790 |
| 137 | SOMEastern Africa | 0.07666 |
| 138 | BELWestern Europe | 0.07496 |
| 139 | VNMSouth-eastern Asia | 0.07445 |
| 140 | VUTMelanesia | 0.07351 |
| 141 | NPLSouthern Asia | 0.07153 |
| 142 | IDNSouth-eastern Asia | 0.06739 |
| 143 | CYPWestern Asia | 0.06596 |
| 144 | LKASouthern Asia | 0.06177 |
| 145 | NLDWestern Europe | 0.06036 |
| 146 | SMRSouthern Europe | 0.05997 |
| 147 | MUSEastern Africa | 0.05935 |
| 148 | ECUSouth America | 0.05913 |
| 149 | PHLSouth-eastern Asia | 0.05237 |
| 150 | BGDSouthern Asia | 0.04847 |
| 151 | CHEWestern Europe | 0.04761 |
| 152 | LIEWestern Europe | 0.04719 |
| 153 | ATGCaribbean | 0.04446 |
| 154 | CRICentral America | 0.04323 |
| 155 | JAMCaribbean | 0.04271 |
| 156 | PNGMelanesia | 0.03638 |
| 157 | GNQMiddle Africa | 0.03580 |
| 158 | COLSouth America | 0.03545 |
| 159 | SLBMelanesia | 0.03472 |
| 160 | ISRWestern Asia | 0.03452 |
| 161 | YEMWestern Asia | 0.03413 |
| 162 | JPNEastern Asia | 0.03293 |
| 163 | VGBCaribbean | 0.02952 |
| 164 | KOREastern Asia | 0.02774 |
| 165 | EGYNorthern Africa | 0.02742 |
| 166 | TCACaribbean | 0.02610 |
| 167 | GRDCaribbean | 0.02606 |
| 168 | MYSSouth-eastern Asia | 0.02596 |
| 169 | BRBCaribbean | 0.02504 |
| 170 | JORWestern Asia | 0.02371 |
| 171 | LBNWestern Asia | 0.02167 |
| 172 | NCLMelanesia | 0.02106 |
| 173 | BHSCaribbean | 0.02062 |
| 174 | MLTSouthern Europe | 0.01996 |
| 175 | STPMiddle Africa | 0.01964 |
| 176 | VCTCaribbean | 0.01881 |
| 177 | TTOCaribbean | 0.01847 |
| 178 | ABWCaribbean | 0.01839 |
| 179 | FSMMicronesia | 0.01834 |
| 180 | ASMPolynesia | 0.01761 |
| 181 | KIRMicronesia | 0.01688 |
| 182 | PLWMicronesia | 0.01686 |
| 183 | LCACaribbean | 0.01520 |
| 184 | PRICaribbean | 0.01480 |
| 185 | MNESouthern Europe | 0.01439 |
| 186 | PSEWestern Asia | 0.01338 |
| 187 | OMNWestern Asia | 0.01278 |
| 188 | ANDSouthern Europe | 0.01136 |
| 189 | MHLMicronesia | 0.01048 |
| 190 | BRNSouth-eastern Asia | 0.00936 |
| 191 | VIRCaribbean | 0.00930 |
| 192 | PYFPolynesia | 0.00895 |
| 193 | MDVSouthern Asia | 0.00880 |
| 194 | QATWestern Asia | 0.00739 |
| 195 | GUMMicronesia | 0.00609 |
| 196 | AREWestern Asia | 0.00498 |
| 197 | MNPMicronesia | 0.00492 |
| 198 | BMUNorthern America | 0.00473 |
| 199 | CYMCaribbean | 0.00317 |
| 200 | KWTWestern Asia | 0.00200 |
| 201 | DJIEastern Africa | 0.00193 |
| 202 | SYCEastern Africa | 0.00158 |
| 203 | BHRWestern Asia | 0.00147 |
| 204 | FRONorthern Europe | 0.00133 |
| 205 | HKGEastern Asia | 0.00041 |
| 206 | SGPSouth-eastern Asia | 0.00010 |
02In 2016
At either end
The 5 countries at each end of the headline.
Highest
- 1
Kazakhstan1.61418
- 2
Australia1.24249
- 3
Canada1.06699
- 4
Argentina0.91192
- 5
Niger0.84599
Lowest
- 206
Singapore0.00010
- 205
Hong Kong0.00041
- 204
Faroe Islands0.00133
- 203
Bahrain0.00147
- 202
Seychelles0.00158
Neither end is better. The values describe a shape, not a score. The middle country reads 0.11624. “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.
- +0 / −0countries joined / left
- 206values changed, of 206 in both
- 53 · 153rose · fell
- 0unchanged
Rose most
Lesotho0.10406 → 0.16523+0.06117
Latvia0.62189 → 0.65730+0.03541
Morocco0.21664 → 0.23473+0.01809
Estonia0.51315 → 0.52896+0.01581
New Zealand0.10370 → 0.11476+0.01106
Fell most
Australia1.30545 → 1.24249−0.06296
Uruguay0.72108 → 0.65881−0.06227
Samoa0.16087 → 0.12659−0.03428
Kazakhstan1.63685 → 1.61418−0.02267
Bolivia0.45176 → 0.43256−0.01920
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 2016.
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-2016-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) (2016). Arable Land per Person, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/arable-land-per-person/2016
0663 held
Other years
‹ The year before
Arable Land per Person, 2015206 countries
The year after ›
Arable Land per Person, 2017206 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, 2016: questions and answers
Which country has the highest arable land per person in Arable Land per Person, 2016?
Kazakhstan, at 1.61418, of the 206 countries in the file.
What year does Arable Land per Person, 2016 describe?
2016.
How many countries does Arable Land per Person, 2016 cover?
206.
Where can I download Arable Land per Person, 2016?
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, 2016 the newest?
No. The newest held here is Arable Land per Person, 2023.