Data for 2018
Livestock Density, 2018
2018, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 2018 covers 188 countries on 3 measures. Singapore is highest, at 56.91; 2 countries share the lowest reading, 0.02. The middle country reads 0.54. Against 2017, 120 values changed (71 up, 49 down), the same countries are covered.
Livestock Density · Data for 2018
HighestSingapore
56.91Lowest2 countries share it
0.02Shaded by value in five groups of equal size, darkest at the highest end.
01Position · derived
The table
Every country and every column of Livestock Density, 2018, 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 188 countries · select a heading to sort
| derived | ||||
|---|---|---|---|---|
| 1 | SGPSouth-eastern Asia | 56.91 | 37,562 | 100 |
| 2 | HKGEastern Asia | 14.28 | 71,379 | 100 |
| 3 | BRNSouth-eastern Asia | 13.98 | 187,390 | 100 |
| 4 | TTOCaribbean | 7.64 | 412,777 | 100 |
| 5 | QATWestern Asia | 6.96 | 515,037 | 100 |
| 6 | BRBCaribbean | 6.60 | 66,025 | 100 |
| 7 | KWTWestern Asia | 4.33 | 649,497 | 100 |
| 8 | KOREastern Asia | 4.18 | 6,899,729 | 100 |
| 9 | NLDWestern Europe | 4.13 | 7,532,324 | 100 |
| 10 | FSMMicronesia | 4.03 | 20,154 | 100 |
| 11 | BHRWestern Asia | 3.81 | 30,836 | 100 |
| 12 | BELWestern Europe | 3.09 | 4,185,254 | 100 |
| 13 | TWNEastern Asia | 3.07 | 2,428,661 | 100 |
| 14 | AREWestern Asia | 2.91 | 1,111,256 | 100 |
| 15 | BHSCaribbean | 2.77 | 35,967 | 100 |
| =16 | EGYNorthern Africa | 2.22 | 8,582,386 | 100 |
| =16 | NPLSouthern Asia | 2.22 | 8,581,393 | 100 |
| 18 | SYCEastern Africa | 2.04 | 3,159 | 100 |
| 19 | BGDSouthern Asia | 2.02 | 18,563,750 | 100 |
| 20 | MUSEastern Africa | 1.91 | 164,260 | 100 |
| =21 | JPNEastern Asia | 1.90 | 8,998,790 | 100 |
| =21 | TUVPolynesia | 1.90 | 3,423 | 100 |
| 23 | PAKSouthern Asia | 1.84 | 68,043,750 | 100 |
| 24 | LCACaribbean | 1.83 | 18,197 | 100 |
| 25 | DNKNorthern Europe | 1.81 | 4,775,287 | 100 |
| 26 | MLTSouthern Europe | 1.70 | 17,620 | 100 |
| 27 | DOMCaribbean | 1.64 | 4,239,029 | 100 |
| 28 | NRUMicronesia | 1.63 | 651 | 100 |
| 29 | LAOSouth-eastern Asia | 1.55 | 3,597,747 | 100 |
| 30 | LUXWestern Europe | 1.53 | 201,232 | 100 |
| 31 | IRLNorthern Europe | 1.50 | 6,762,779 | 100 |
| 32 | GRDCaribbean | 1.47 | 11,743 | 100 |
| 33 | NORNorthern Europe | 1.44 | 1,422,726 | 100 |
| 34 | ISRWestern Asia | 1.38 | 884,077 | 100 |
| 35 | CYPWestern Asia | 1.34 | 178,134 | 100 |
| =36 | LBNWestern Asia | 1.32 | 884,158 | 100 |
| =36 | VNMSouth-eastern Asia | 1.32 | 15,979,762 | 100 |
| 38 | CHEWestern Europe | 1.29 | 1,948,431 | 100 |
| 39 | ATGCaribbean | 1.17 | 10,524 | 100 |
| =40 | ETHEastern Africa | 1.16 | 43,871,724 | 100 |
| =40 | NZLAustralia and New Zealand | 1.16 | 12,174,247 | 100 |
| =40 | TLSSouth-eastern Asia | 1.16 | 395,664 | 100 |
| =43 | VCTCaribbean | 1.15 | 8,026 | 100 |
| =43 | SURSouth America | 1.15 | 96,959 | 100 |
| 45 | WSMPolynesia | 1.06 | 58,500 | 100 |
| 46 | DEUWestern Europe | 1.05 | 17,543,848 | 100 |
| 47 | TONPolynesia | 1.04 | 36,447 | 100 |
| =48 | INDSouthern Asia | 1.02 | 183,290,586 | 100 |
| =48 | IDNSouth-eastern Asia | 1.02 | 54,214,557 | 100 |
| 50 | AUTWestern Europe | 0.93 | 2,465,460 | 100 |
| 51 | HTICaribbean | 0.92 | 1,830,297 | 100 |
| =52 | ECUSouth America | 0.91 | 4,976,153 | 100 |
| =52 | GBRNorthern Europe | 0.91 | 15,793,508 | 100 |
| 54 | CRICentral America | 0.89 | 1,525,118 | 100 |
| 55 | GTMCentral America | 0.88 | 4,016,665 | 100 |
| 56 | JAMCaribbean | 0.85 | 353,887 | 100 |
| 57 | FRAWestern Europe | 0.83 | 23,655,759 | 100 |
| 58 | NICCentral America | 0.82 | 4,143,491 | 100 |
| =59 | JORWestern Asia | 0.79 | 809,567 | 100 |
| =59 | MMRSouth-eastern Asia | 0.79 | 10,367,631 | 100 |
| =61 | BRASouth America | 0.77 | 182,502,471 | 100 |
| =61 | HNDCentral America | 0.77 | 2,701,070 | 100 |
| 63 | UGAEastern Africa | 0.74 | 10,730,103 | 100 |
| 64 | GNBWestern Africa | 0.73 | 594,688 | 100 |
| =65 | ITASouthern Europe | 0.72 | 8,900,196 | 100 |
| =65 | PHLSouth-eastern Asia | 0.72 | 9,121,706 | 100 |
| =67 | SLVCentral America | 0.69 | 823,632 | 100 |
| =67 | PANCentral America | 0.69 | 1,502,454 | 100 |
| =69 | RWAEastern Africa | 0.67 | 1,300,759 | 100 |
| =69 | SWENorthern Europe | 0.67 | 2,023,600 | 100 |
| =71 | SVNSouthern Europe | 0.66 | 402,971 | 100 |
| =71 | URYSouth America | 0.66 | 9,297,843 | 100 |
| =73 | CPVWestern Africa | 0.65 | 51,386 | 100 |
| =73 | VENSouth America | 0.65 | 13,974,648 | 100 |
| 75 | BFAWestern Africa | 0.63 | 8,819,380 | 100 |
| =76 | ALBSouthern Europe | 0.62 | 726,030 | 100 |
| =76 | CAFMiddle Africa | 0.62 | 3,208,871 | 100 |
| =76 | CUBCaribbean | 0.62 | 3,881,670 | 100 |
| =76 | PRTSouthern Europe | 0.62 | 2,327,779 | 100 |
| =80 | KENEastern Africa | 0.61 | 17,342,122 | 100 |
| =80 | PRKEastern Asia | 0.61 | 1,584,954 | 100 |
| =82 | AZEWestern Asia | 0.59 | 2,806,113 | 100 |
| =82 | ESPSouthern Europe | 0.59 | 15,423,079 | 100 |
| =84 | BLZCentral America | 0.58 | 99,996 | 100 |
| =84 | FJIMelanesia | 0.58 | 183,069 | 100 |
| =84 | POLEastern Europe | 0.58 | 8,441,570 | 100 |
| =87 | TCDMiddle Africa | 0.57 | 28,655,279 | 100 |
| =87 | OMNWestern Asia | 0.57 | 829,892 | 100 |
| =87 | KNACaribbean | 0.57 | 3,402 | 100 |
| =90 | BDIEastern Africa | 0.56 | 1,122,399 | 100 |
| =90 | TJKCentral Asia | 0.56 | 2,156,694 | 100 |
| =92 | FINNorthern Europe | 0.54 | 1,230,046 | 100 |
| =92 | MWIEastern Africa | 0.54 | 3,165,155 | 100 |
| =92 | TURWestern Asia | 0.54 | 20,332,299 | 100 |
| =95 | DMACaribbean | 0.53 | 13,143 | 100 |
| =95 | GUYSouth America | 0.53 | 378,267 | 100 |
| =97 | BLREastern Europe | 0.52 | 4,375,858 | 100 |
| =97 | KHMSouth-eastern Asia | 0.52 | 3,029,975 | 100 |
| 99 | COLSouth America | 0.51 | 22,353,109 | 100 |
| 100 | PRYSouth America | 0.50 | 10,201,259 | 100 |
| 101 | CMRMiddle Africa | 0.49 | 4,796,451 | 100 |
| =102 | CHNEastern Asia | 0.48 | 252,401,262 | 100 |
| =102 | HRVSouthern Europe | 0.48 | 706,432 | 100 |
| =102 | TZAEastern Africa | 0.48 | 18,675,210 | 100 |
| 105 | SENWestern Africa | 0.47 | 4,378,872 | 100 |
| 106 | SRBSouthern Europe | 0.46 | 1,579,915 | 100 |
| =107 | BTNSouthern Asia | 0.45 | 228,942 | 100 |
| =107 | MEXCentral America | 0.45 | 43,074,861 | 100 |
| =109 | IRNSouthern Asia | 0.43 | 20,155,264 | 100 |
| =109 | MYSSouth-eastern Asia | 0.43 | 3,666,364 | 100 |
| =109 | VUTMelanesia | 0.43 | 81,214 | 100 |
| =112 | CZEEastern Europe | 0.42 | 1,465,271 | 100 |
| =112 | GMBWestern Africa | 0.42 | 263,423 | 100 |
| =112 | UZBCentral Asia | 0.42 | 10,787,017 | 100 |
| 115 | BENWestern Africa | 0.41 | 1,833,086 | 100 |
| 116 | NGAWestern Africa | 0.40 | 26,891,348 | 100 |
| =117 | ARGSouth America | 0.38 | 44,365,844 | 100 |
| =117 | GRCSouthern Europe | 0.38 | 2,253,186 | 100 |
| 119 | THASouth-eastern Asia | 0.37 | 8,555,018 | 100 |
| =120 | COMEastern Africa | 0.36 | 47,232 | 100 |
| =120 | PNGMelanesia | 0.36 | 511,311 | 100 |
| =120 | PERSouth America | 0.36 | 8,620,815 | 100 |
| =120 | SSDEastern Africa | 0.36 | 10,245,439 | 100 |
| =124 | GEOWestern Asia | 0.34 | 801,364 | 100 |
| =124 | MNESouthern Europe | 0.34 | 86,741 | 100 |
| =124 | LKASouthern Asia | 0.34 | 968,156 | 100 |
| =124 | TGOWestern Africa | 0.34 | 1,288,991 | 100 |
| =128 | HUNEastern Europe | 0.33 | 1,726,240 | 100 |
| =128 | IRQWestern Asia | 0.33 | 3,126,551 | 100 |
| =128 | ROUEastern Europe | 0.33 | 4,397,816 | 100 |
| =131 | CHLSouth America | 0.32 | 3,750,772 | 100 |
| =131 | USANorthern America | 0.32 | 134,786,525 | 100 |
| =133 | ARMWestern Asia | 0.31 | 514,034 | 100 |
| =133 | BIHSouthern Europe | 0.31 | 678,395 | 100 |
| =133 | MDAEastern Europe | 0.31 | 710,553 | 100 |
| =133 | SVKEastern Europe | 0.31 | 593,790 | 100 |
| =137 | CANNorthern America | 0.30 | 17,372,359 | 100 |
| =137 | STPMiddle Africa | 0.30 | 12,459 | 100 |
| =139 | BOLSouth America | 0.29 | 11,242,156 | 100 |
| =139 | MLIWestern Africa | 0.29 | 12,192,935 | 100 |
| =141 | SWZSouthern Africa | 0.28 | 331,997 | 100 |
| =141 | GINWestern Africa | 0.28 | 4,721,151 | 100 |
| =143 | KIRMicronesia | 0.27 | 9,346 | 100 |
| =143 | NERWestern Africa | 0.27 | 12,361,900 | 100 |
| =145 | ESTNorthern Europe | 0.26 | 255,865 | 100 |
| =145 | GHAWestern Africa | 0.26 | 3,209,599 | 100 |
| =145 | MARNorthern Africa | 0.26 | 7,836,616 | 100 |
| =145 | SDNNorthern Africa | 0.26 | 29,462,014 | 100 |
| =145 | TUNNorthern Africa | 0.26 | 2,504,885 | 100 |
| 150 | MKDSouthern Europe | 0.25 | 312,284 | 100 |
| 151 | SLEWestern Africa | 0.24 | 950,888 | 100 |
| =152 | ERIEastern Africa | 0.23 | 1,771,418 | 100 |
| =152 | LSOSouthern Africa | 0.23 | 559,206 | 100 |
| =152 | LTUNorthern Europe | 0.23 | 664,725 | 100 |
| =155 | SLBMelanesia | 0.22 | 22,670 | 100 |
| =155 | SOMEastern Africa | 0.22 | 9,885,441 | 100 |
| =155 | ZWEEastern Africa | 0.22 | 3,572,616 | 100 |
| 158 | KGZCentral Asia | 0.19 | 1,990,574 | 100 |
| =159 | AFGSouthern Asia | 0.18 | 6,756,166 | 100 |
| =159 | DJIEastern Africa | 0.18 | 305,009 | 100 |
| =159 | YEMWestern Asia | 0.18 | 4,145,264 | 100 |
| =162 | DZANorthern Africa | 0.17 | 6,927,649 | 100 |
| =162 | BGREastern Europe | 0.17 | 850,328 | 100 |
| =162 | LVANorthern Europe | 0.17 | 331,142 | 100 |
| =162 | SYRWestern Asia | 0.17 | 2,368,792 | 100 |
| 166 | ZAFSouthern Africa | 0.15 | 14,039,031 | 100 |
| 167 | UKREastern Europe | 0.14 | 5,822,375 | 100 |
| 168 | MDGEastern Africa | 0.13 | 5,273,530 | 100 |
| =169 | GNQMiddle Africa | 0.12 | 12,858 | 100 |
| =169 | LBRWestern Africa | 0.12 | 220,584 | 100 |
| =169 | RUSEastern Europe | 0.12 | 25,067,792 | 100 |
| =169 | ZMBEastern Africa | 0.12 | 2,931,907 | 100 |
| 173 | LBYNorthern Africa | 0.11 | 1,615,390 | 100 |
| =174 | MRTWestern Africa | 0.10 | 3,909,706 | 100 |
| =174 | MNGEastern Asia | 0.10 | 11,560,097 | 100 |
| =176 | AGOMiddle Africa | 0.09 | 3,952,680 | 100 |
| =176 | AUSAustralia and New Zealand | 0.09 | 32,946,451 | 100 |
| =176 | CIVWestern Africa | 0.09 | 2,204,817 | 100 |
| =176 | ISLNorthern Europe | 0.09 | 170,328 | 100 |
| =176 | TKMCentral Asia | 0.09 | 3,461,249 | 100 |
| 181 | GABMiddle Africa | 0.06 | 129,864 | 100 |
| =182 | MOZEastern Africa | 0.05 | 2,063,554 | 100 |
| =182 | NAMSouthern Africa | 0.05 | 1,903,565 | 100 |
| =184 | CODMiddle Africa | 0.04 | 1,456,904 | 100 |
| =184 | KAZCentral Asia | 0.04 | 8,529,596 | 100 |
| 186 | BWASouthern Africa | 0.03 | 736,475 | 100 |
| =187 | COGMiddle Africa | 0.02 | 262,526 | 100 |
| =187 | SAUWestern Asia | 0.02 | 4,007,624 | 100 |
02In 2018
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore56.91
- 2
Hong Kong14.28
- 3
Brunei13.98
- 4
Trinidad and Tobago7.64
- 5
Qatar6.96
Lowest
- 187
Saudi Arabiashared0.02
- 187
Republic of the Congoshared0.02
- 186
Botswana0.03
- 184
Kazakhstanshared0.04
- 184
DR Congoshared0.04
Neither end is better. The values describe a shape, not a score. The middle country reads 0.54. “Shared” marks a value another country also holds.
Each measure’s ends
032017 → 2018
Since 2017
What changed between 2017 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 120values changed, of 188 in both
- 71 · 49rose · fell
- 68unchanged
Rose most
Fell most
Malta2.71 → 1.70−1.01
Myanmar1.80 → 0.79−1.01
Cyprus1.75 → 1.34−0.41
Netherlands4.38 → 4.13−0.25
Ireland1.73 → 1.50−0.23
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 2018.
111 distinct values among 188
Values are stored exactly as published, to 2 decimals. 5 countries share 0.26. Countries sharing a value share a position too.
The position is ours
FAO publishes values only; the order is this site’s.
Nothing missing
Every one of the 188 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
188 rows · 7.4 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download livestock-density-2018-nations-inquiry.csv - ↗
The publisher’s original
FAO’s own file, on its own site.
Environment_LivestockPatterns_E_All_Data_(Normalized).zip
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) (2018). Livestock Density, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/2018
0663 held
Other years
‹ The year before
Livestock Density, 2017188 countries
The year after ›
Livestock Density, 2019188 countries
All of them
Livestock Density: every year63 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Livestock Density, 2018: questions and answers
Which country has the highest livestock density in Livestock Density, 2018?
Singapore, at 56.91, of the 188 countries in the file.
What year does Livestock Density, 2018 describe?
2018.
How many countries does Livestock Density, 2018 cover?
188.
Where can I download Livestock Density, 2018?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Livestock Density, 2018 the newest?
No. The newest held here is Livestock Density, 2023.