Data for 2019
Arable Land per Person, 2019
2019, as FAO’s 2026 release gives it · stored as published, never rewritten
Arable Land per Person, 2019 covers 206 countries. Kazakhstan is highest, at 1.52936; Singapore is lowest, at 0.00010. The middle country reads 0.11167. Against 2018, 206 values changed (48 up, 158 down), the same countries are covered.
Arable Land per Person · Data for 2019
HighestKazakhstan
1.52936LowestSingapore
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, 2019, 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 | 1.52936 |
| 2 | AUSAustralia and New Zealand | 1.20676 |
| 3 | CANNorthern America | 1.02737 |
| 4 | ARGSouth America | 0.90831 |
| 5 | RUSEastern Europe | 0.83634 |
| 6 | LTUNorthern Europe | 0.78685 |
| 7 | NERWestern Africa | 0.77132 |
| 8 | UKREastern Europe | 0.73234 |
| 9 | LVANorthern Europe | 0.68920 |
| 10 | PRYSouth America | 0.66333 |
| 11 | MDAEastern Europe | 0.63429 |
| 12 | URYSouth America | 0.61471 |
| 13 | BLREastern Europe | 0.60649 |
| 14 | BGREastern Europe | 0.52534 |
| 15 | ESTNorthern Europe | 0.52001 |
| 16 | USANorthern America | 0.46966 |
| 17 | ROUEastern Europe | 0.46284 |
| 18 | SDNNorthern Africa | 0.46094 |
| 19 | BOLSouth America | 0.44996 |
| 20 | HUNEastern Europe | 0.44529 |
| 21 | DNKNorthern Europe | 0.41207 |
| 22 | FINNorthern Europe | 0.40658 |
| 23 | MLIWestern Africa | 0.37796 |
| 24 | GINWestern Africa | 0.37738 |
| 25 | SRBSouthern Europe | 0.37133 |
| 26 | CAFMiddle Africa | 0.36403 |
| 27 | BFAWestern Africa | 0.35922 |
| 28 | TGOWestern Africa | 0.34777 |
| 29 | MNGEastern Asia | 0.34030 |
| 30 | ISLNorthern Europe | 0.33559 |
| 31 | TCDMiddle Africa | 0.31765 |
| 32 | BIHSouthern Europe | 0.30339 |
| 33 | NAMSouthern Africa | 0.30183 |
| 34 | POLEastern Europe | 0.29119 |
| 35 | IMNNorthern Europe | 0.28586 |
| 36 | BENWestern Africa | 0.27800 |
| 37 | BRASouth America | 0.26856 |
| 38 | FRAWestern Europe | 0.26628 |
| 39 | ZWEEastern Africa | 0.26406 |
| 40 | CUBCaribbean | 0.25963 |
| 41 | ESPSouthern Europe | 0.25069 |
| 42 | LBYNorthern Africa | 0.24745 |
| 43 | SVKEastern Europe | 0.24733 |
| 44 | SWENorthern Europe | 0.24711 |
| 45 | KHMSouth-eastern Asia | 0.24638 |
| 46 | CMRMiddle Africa | 0.24308 |
| 47 | BLZCentral America | 0.23845 |
| 48 | ALBSouthern Europe | 0.23756 |
| 49 | TURWestern Asia | 0.23711 |
| 50 | CZEEastern Europe | 0.23281 |
| 51 | TKMCentral Asia | 0.23257 |
| 52 | THASouth-eastern Asia | 0.23249 |
| 53 | NICCentral America | 0.23181 |
| 54 | SSDEastern Africa | 0.22974 |
| 55 | SYRWestern Asia | 0.22886 |
| 56 | SENWestern Africa | 0.22718 |
| 57 | TZAEastern Africa | 0.22511 |
| 58 | MKDSouthern Europe | 0.22332 |
| 59 | TUNNorthern Africa | 0.21639 |
| 60 | ERIEastern Africa | 0.21295 |
| 61 | AZEWestern Asia | 0.20909 |
| 62 | MMRSouth-eastern Asia | 0.20878 |
| 63 | HRVSouthern Europe | 0.20839 |
| 64 | AFGSouthern Asia | 0.20573 |
| 65 | ZMBEastern Africa | 0.20525 |
| 66 | SLEWestern Africa | 0.20486 |
| 67 | MWIEastern Africa | 0.20383 |
| 68 | ZAFSouthern Africa | 0.20138 |
| 69 | GRCSouthern Europe | 0.19851 |
| 70 | KGZCentral Asia | 0.19535 |
| 71 | MARNorthern Africa | 0.19052 |
| 72 | TONPolynesia | 0.18927 |
| 73 | MOZEastern Africa | 0.18906 |
| 74 | GNBWestern Africa | 0.18649 |
| 75 | IRNSouthern Asia | 0.17943 |
| 76 | GMBWestern Africa | 0.17909 |
| 77 | LAOSouth-eastern Asia | 0.17901 |
| 78 | NGAWestern Africa | 0.17601 |
| 79 | DZANorthern Africa | 0.17395 |
| 80 | AGOMiddle Africa | 0.16500 |
| 81 | UGAEastern Africa | 0.16047 |
| 82 | MEXCentral America | 0.15426 |
| 83 | CIVWestern Africa | 0.15393 |
| 84 | ARMWestern Asia | 0.15014 |
| 85 | SWZSouthern Africa | 0.15002 |
| 86 | NORNorthern Europe | 0.14997 |
| 87 | AUTWestern Europe | 0.14927 |
| 88 | GHAWestern Africa | 0.14913 |
| 89 | CODMiddle Africa | 0.14718 |
| 90 | GABMiddle Africa | 0.14332 |
| 91 | DEUWestern Europe | 0.14097 |
| 92 | ETHEastern Africa | 0.13990 |
| 93 | PANCentral America | 0.13342 |
| 94 | PAKSouthern Asia | 0.13228 |
| 95 | KENEastern Africa | 0.12953 |
| 96 | BTNSouthern Asia | 0.12290 |
| 97 | UZBCentral Asia | 0.12236 |
| 98 | IRQWestern Asia | 0.12063 |
| 99 | GUYSouth America | 0.12010 |
| 100 | SLVCentral America | 0.11587 |
| 101 | ITASouthern Europe | 0.11576 |
| 102 | SAUWestern Asia | 0.11410 |
| 103 | INDSouthern Asia | 0.11185 |
| 104 | BWASouthern Africa | 0.11149 |
| 105 | PERSouth America | 0.11033 |
| 106 | NZLAustralia and New Zealand | 0.10985 |
| 107 | KNACaribbean | 0.10649 |
| 108 | MDGEastern Africa | 0.10631 |
| 109 | HNDCentral America | 0.10238 |
| 110 | SURSouth America | 0.10235 |
| 111 | MRTWestern Africa | 0.10072 |
| 112 | LUXWestern Europe | 0.09993 |
| 113 | BDIEastern Africa | 0.09922 |
| 114 | LBRWestern Africa | 0.09913 |
| 115 | COGMiddle Africa | 0.09792 |
| 116 | CPVWestern Africa | 0.09726 |
| 117 | PRTSouthern Europe | 0.09700 |
| 118 | RWAEastern Africa | 0.09330 |
| 119 | GBRNorthern Europe | 0.09134 |
| 120 | HTICaribbean | 0.09005 |
| 121 | GTMCentral America | 0.08992 |
| 122 | VENSouth America | 0.08985 |
| 123 | IRLNorthern Europe | 0.08902 |
| 124 | TJKCentral Asia | 0.08858 |
| 125 | DMACaribbean | 0.08839 |
| 126 | PRKEastern Asia | 0.08814 |
| 127 | SVNSouthern Europe | 0.08587 |
| 128 | TLSSouth-eastern Asia | 0.08571 |
| 129 | DOMCaribbean | 0.08504 |
| 130 | FJIMelanesia | 0.08285 |
| 131 | COMEastern Africa | 0.08264 |
| 132 | GEOWestern Asia | 0.08252 |
| 133 | CHNEastern Asia | 0.07739 |
| 134 | CYPWestern Asia | 0.07492 |
| 135 | BELWestern Europe | 0.07462 |
| 136 | CHLSouth America | 0.07288 |
| 137 | VNMSouth-eastern Asia | 0.06981 |
| 138 | SOMEastern Africa | 0.06862 |
| 139 | VUTMelanesia | 0.06850 |
| 140 | LSOSouthern Africa | 0.06807 |
| 141 | NPLSouthern Asia | 0.06693 |
| 142 | IDNSouth-eastern Asia | 0.06535 |
| 143 | LKASouthern Asia | 0.06291 |
| 144 | MUSEastern Africa | 0.05924 |
| 145 | NLDWestern Europe | 0.05829 |
| 146 | SMRSouthern Europe | 0.05727 |
| 147 | ECUSouth America | 0.05704 |
| 148 | WSMPolynesia | 0.05382 |
| 149 | PHLSouth-eastern Asia | 0.05045 |
| 150 | BGDSouthern Asia | 0.04764 |
| 151 | CHEWestern Europe | 0.04651 |
| 152 | COLSouth America | 0.04640 |
| 153 | LIEWestern Europe | 0.04486 |
| 154 | ATGCaribbean | 0.04378 |
| 155 | JAMCaribbean | 0.04250 |
| 156 | ISRWestern Asia | 0.04175 |
| 157 | CRICentral America | 0.03559 |
| 158 | PNGMelanesia | 0.03434 |
| 159 | YEMWestern Asia | 0.03298 |
| 160 | JPNEastern Asia | 0.03257 |
| 161 | GNQMiddle Africa | 0.03173 |
| 162 | SLBMelanesia | 0.03159 |
| 163 | EGYNorthern Africa | 0.02993 |
| 164 | VGBCaribbean | 0.02748 |
| 165 | KOREastern Asia | 0.02635 |
| 166 | GRDCaribbean | 0.02587 |
| 167 | BRBCaribbean | 0.02489 |
| 168 | MYSSouth-eastern Asia | 0.02468 |
| 169 | LBNWestern Asia | 0.02335 |
| 170 | TCACaribbean | 0.02317 |
| 171 | NCLMelanesia | 0.02105 |
| 172 | BHSCaribbean | 0.02027 |
| 173 | JORWestern Asia | 0.02013 |
| 174 | VCTCaribbean | 0.01920 |
| 175 | ASMPolynesia | 0.01892 |
| 176 | STPMiddle Africa | 0.01874 |
| 177 | TTOCaribbean | 0.01833 |
| 178 | ABWCaribbean | 0.01831 |
| 179 | FSMMicronesia | 0.01814 |
| 180 | MLTSouthern Europe | 0.01800 |
| 181 | PLWMicronesia | 0.01686 |
| 182 | OMNWestern Asia | 0.01670 |
| 183 | KIRMicronesia | 0.01614 |
| 184 | PRICaribbean | 0.01520 |
| 185 | LCACaribbean | 0.01503 |
| 186 | MNESouthern Europe | 0.01436 |
| 187 | MHLMicronesia | 0.01136 |
| 188 | PSEWestern Asia | 0.01072 |
| 189 | ANDSouthern Europe | 0.01034 |
| 190 | BRNSouth-eastern Asia | 0.00904 |
| 191 | PYFPolynesia | 0.00896 |
| 192 | VIRCaribbean | 0.00844 |
| 193 | MDVSouthern Asia | 0.00800 |
| 194 | QATWestern Asia | 0.00796 |
| 195 | GUMMicronesia | 0.00618 |
| 196 | AREWestern Asia | 0.00528 |
| 197 | BMUNorthern America | 0.00468 |
| 198 | CYMCaribbean | 0.00297 |
| 199 | DJIEastern Africa | 0.00184 |
| 200 | KWTWestern Asia | 0.00180 |
| 201 | MNPMicronesia | 0.00166 |
| 202 | SYCEastern Africa | 0.00154 |
| 203 | BHRWestern Asia | 0.00142 |
| 204 | FRONorthern Europe | 0.00127 |
| 205 | HKGEastern Asia | 0.00040 |
| 206 | SGPSouth-eastern Asia | 0.00010 |
02In 2019
At either end
The 5 countries at each end of the headline.
Highest
- 1
Kazakhstan1.52936
- 2
Australia1.20676
- 3
Canada1.02737
- 4
Argentina0.90831
- 5
Russia0.83634
Lowest
- 206
Singapore0.00010
- 205
Hong Kong0.00040
- 204
Faroe Islands0.00127
- 203
Bahrain0.00142
- 202
Seychelles0.00154
Neither end is better. The values describe a shape, not a score. The middle country reads 0.11167. “Shared” marks a value another country also holds.
032018 → 2019
Since 2018
What changed between 2018 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 206values changed, of 206 in both
- 48 · 158rose · fell
- 0unchanged
Rose most
Lithuania0.75021 → 0.78685+0.03664
Bolivia0.43026 → 0.44996+0.01970
Latvia0.67197 → 0.68920+0.01723
Romania0.44603 → 0.46284+0.01681
Guinea-Bissau0.17148 → 0.18649+0.01501
Fell most
Lesotho0.19907 → 0.06807−0.13100
Mongolia0.41344 → 0.34030−0.07313
Kazakhstan1.57125 → 1.52936−0.04189
Australia1.24078 → 1.20676−0.03403
Guinea0.40779 → 0.37738−0.03041
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 2019.
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-2019-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) (2019). Arable Land per Person, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/arable-land-per-person/2019
0663 held
Other years
‹ The year before
Arable Land per Person, 2018206 countries
The year after ›
Arable Land per Person, 2020206 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, 2019: questions and answers
Which country has the highest arable land per person in Arable Land per Person, 2019?
Kazakhstan, at 1.52936, of the 206 countries in the file.
What year does Arable Land per Person, 2019 describe?
2019.
How many countries does Arable Land per Person, 2019 cover?
206.
Where can I download Arable Land per Person, 2019?
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, 2019 the newest?
No. The newest held here is Arable Land per Person, 2023.