Data for 2016
Livestock Density, 2016
2016, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 2016 covers 188 countries on 3 measures. Singapore is highest, at 54.87; 2 countries share the lowest reading, 0.02. The middle country reads 0.52. Against 2015, 125 values changed (92 up, 33 down), the same countries are covered.
Livestock Density · Data for 2016
HighestSingapore
54.87Lowest2 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, 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 188 countries · select a heading to sort
| derived | ||||
|---|---|---|---|---|
| 1 | SGPSouth-eastern Asia | 54.87 | 36,211 | 100 |
| 2 | BRNSouth-eastern Asia | 13.36 | 179,046 | 100 |
| 3 | HKGEastern Asia | 12.94 | 64,717 | 100 |
| 4 | TTOCaribbean | 7.32 | 395,092 | 100 |
| 5 | BRBCaribbean | 6.11 | 61,057 | 100 |
| 6 | QATWestern Asia | 5.07 | 360,051 | 100 |
| 7 | NLDWestern Europe | 4.54 | 8,248,453 | 100 |
| 8 | KWTWestern Asia | 4.06 | 608,292 | 100 |
| 9 | FSMMicronesia | 4.02 | 20,117 | 100 |
| 10 | KOREastern Asia | 3.85 | 6,544,012 | 100 |
| 11 | BHRWestern Asia | 3.25 | 26,735 | 100 |
| 12 | BELWestern Europe | 3.15 | 4,252,831 | 100 |
| 13 | TWNEastern Asia | 3.02 | 2,396,194 | 100 |
| 14 | MLTSouthern Europe | 2.86 | 29,736 | 100 |
| 15 | AREWestern Asia | 2.81 | 1,080,129 | 100 |
| 16 | BHSCaribbean | 2.63 | 34,230 | 100 |
| 17 | EGYNorthern Africa | 2.49 | 9,278,840 | 100 |
| 18 | NPLSouthern Asia | 2.10 | 8,359,057 | 100 |
| 19 | SYCEastern Africa | 2.03 | 3,140 | 100 |
| 20 | BGDSouthern Asia | 1.98 | 18,222,030 | 100 |
| 21 | TUVPolynesia | 1.89 | 3,398 | 100 |
| 22 | CYPWestern Asia | 1.86 | 203,838 | 100 |
| =23 | JPNEastern Asia | 1.85 | 8,884,182 | 100 |
| =23 | MUSEastern Africa | 1.85 | 159,434 | 100 |
| 25 | LCACaribbean | 1.81 | 18,004 | 100 |
| 26 | DNKNorthern Europe | 1.80 | 4,734,243 | 100 |
| 27 | IRLNorthern Europe | 1.71 | 7,635,595 | 100 |
| 28 | PAKSouthern Asia | 1.70 | 62,567,000 | 100 |
| 29 | MMRSouth-eastern Asia | 1.67 | 21,366,024 | 100 |
| 30 | DOMCaribbean | 1.65 | 4,126,336 | 100 |
| 31 | NRUMicronesia | 1.63 | 650 | 100 |
| 32 | LUXWestern Europe | 1.61 | 209,852 | 100 |
| 33 | ISRWestern Asia | 1.51 | 831,994 | 100 |
| 34 | NORNorthern Europe | 1.44 | 1,414,974 | 100 |
| =35 | GRDCaribbean | 1.41 | 11,262 | 100 |
| =35 | LAOSouth-eastern Asia | 1.41 | 3,427,508 | 100 |
| 37 | CHEWestern Europe | 1.29 | 1,959,967 | 100 |
| =38 | LBNWestern Asia | 1.28 | 857,781 | 100 |
| =38 | VNMSouth-eastern Asia | 1.28 | 15,614,345 | 100 |
| 40 | DEUWestern Europe | 1.21 | 20,114,604 | 100 |
| 41 | ATGCaribbean | 1.20 | 10,817 | 100 |
| =42 | VCTCaribbean | 1.18 | 8,265 | 100 |
| =42 | TLSSouth-eastern Asia | 1.18 | 403,444 | 100 |
| 44 | NZLAustralia and New Zealand | 1.15 | 12,229,087 | 100 |
| 45 | ETHEastern Africa | 1.10 | 41,138,478 | 100 |
| =46 | AUTWestern Europe | 1.03 | 2,741,082 | 100 |
| =46 | TONPolynesia | 1.03 | 36,109 | 100 |
| 48 | WSMPolynesia | 1.02 | 70,423 | 100 |
| 49 | INDSouthern Asia | 1.01 | 181,434,759 | 100 |
| 50 | SURSouth America | 0.97 | 84,750 | 100 |
| 51 | HTICaribbean | 0.92 | 1,900,899 | 100 |
| 52 | ECUSouth America | 0.91 | 5,040,905 | 100 |
| 53 | GBRNorthern Europe | 0.90 | 15,684,854 | 100 |
| 54 | GTMCentral America | 0.86 | 3,879,213 | 100 |
| 55 | CPVWestern Africa | 0.85 | 66,837 | 100 |
| =56 | FRAWestern Europe | 0.84 | 24,136,841 | 100 |
| =56 | JAMCaribbean | 0.84 | 350,923 | 100 |
| =58 | CRICentral America | 0.81 | 1,406,691 | 100 |
| =58 | NICCentral America | 0.81 | 4,098,702 | 100 |
| 60 | ITASouthern Europe | 0.80 | 10,246,694 | 100 |
| =61 | BRASouth America | 0.78 | 183,860,960 | 100 |
| =61 | SLVCentral America | 0.78 | 952,248 | 100 |
| =61 | HNDCentral America | 0.78 | 2,682,615 | 100 |
| =61 | JORWestern Asia | 0.78 | 833,987 | 100 |
| 65 | GNBWestern Africa | 0.74 | 585,041 | 100 |
| =66 | PHLSouth-eastern Asia | 0.73 | 9,109,104 | 100 |
| =66 | PRTSouthern Europe | 0.73 | 2,634,830 | 100 |
| =66 | UGAEastern Africa | 0.73 | 10,452,384 | 100 |
| 69 | IDNSouth-eastern Asia | 0.72 | 37,840,063 | 100 |
| 70 | SWENorthern Europe | 0.69 | 2,081,483 | 100 |
| =71 | SVNSouthern Europe | 0.68 | 419,432 | 100 |
| =71 | URYSouth America | 0.68 | 9,727,339 | 100 |
| =73 | PANCentral America | 0.67 | 1,483,730 | 100 |
| =73 | VENSouth America | 0.67 | 14,501,108 | 100 |
| 75 | RWAEastern Africa | 0.66 | 1,320,729 | 100 |
| =76 | CAFMiddle Africa | 0.65 | 3,188,246 | 100 |
| =76 | ESPSouthern Europe | 0.65 | 17,005,727 | 100 |
| =78 | ALBSouthern Europe | 0.64 | 760,013 | 100 |
| =78 | CUBCaribbean | 0.64 | 3,972,070 | 100 |
| =80 | BFAWestern Africa | 0.62 | 8,421,742 | 100 |
| =80 | KENEastern Africa | 0.62 | 17,633,245 | 100 |
| 82 | PRKEastern Asia | 0.61 | 1,589,338 | 100 |
| =83 | AZEWestern Asia | 0.60 | 2,846,817 | 100 |
| =83 | KNACaribbean | 0.60 | 3,590 | 100 |
| 85 | FINNorthern Europe | 0.58 | 1,315,133 | 100 |
| 86 | BLZCentral America | 0.57 | 97,400 | 100 |
| =87 | OMNWestern Asia | 0.56 | 798,324 | 100 |
| =87 | POLEastern Europe | 0.56 | 8,118,992 | 100 |
| 89 | TJKCentral Asia | 0.55 | 2,102,357 | 100 |
| 90 | FJIMelanesia | 0.54 | 169,394 | 100 |
| =91 | KHMSouth-eastern Asia | 0.53 | 3,042,898 | 100 |
| =91 | DMACaribbean | 0.53 | 13,142 | 100 |
| =93 | PRYSouth America | 0.52 | 10,470,424 | 100 |
| =93 | VUTMelanesia | 0.52 | 97,818 | 100 |
| =95 | BLREastern Europe | 0.51 | 4,375,894 | 100 |
| =95 | TCDMiddle Africa | 0.51 | 25,523,118 | 100 |
| =95 | GUYSouth America | 0.51 | 365,670 | 100 |
| =98 | CMRMiddle Africa | 0.50 | 4,850,592 | 100 |
| =98 | CHNEastern Asia | 0.50 | 259,843,769 | 100 |
| =100 | HRVSouthern Europe | 0.48 | 735,402 | 100 |
| =100 | GMBWestern Africa | 0.48 | 311,382 | 100 |
| =100 | SRBSouthern Europe | 0.48 | 1,644,496 | 100 |
| =103 | MYSSouth-eastern Asia | 0.46 | 3,931,431 | 100 |
| =103 | TURWestern Asia | 0.46 | 17,525,645 | 100 |
| =105 | BENWestern Africa | 0.45 | 1,738,573 | 100 |
| =105 | BDIEastern Africa | 0.45 | 885,853 | 100 |
| =105 | IRNSouthern Asia | 0.45 | 20,519,877 | 100 |
| =108 | COLSouth America | 0.44 | 19,713,327 | 100 |
| =108 | SENWestern Africa | 0.44 | 4,131,593 | 100 |
| =108 | TZAEastern Africa | 0.44 | 16,957,382 | 100 |
| =111 | CZEEastern Europe | 0.43 | 1,501,492 | 100 |
| =111 | MEXCentral America | 0.43 | 41,866,355 | 100 |
| 113 | BTNSouthern Asia | 0.42 | 216,423 | 100 |
| 114 | MWIEastern Africa | 0.41 | 2,344,257 | 100 |
| 115 | UZBCentral Asia | 0.40 | 10,207,662 | 100 |
| =116 | GRCSouthern Europe | 0.39 | 2,368,038 | 100 |
| =116 | MNESouthern Europe | 0.39 | 99,732 | 100 |
| =118 | NGAWestern Africa | 0.38 | 25,736,243 | 100 |
| =118 | PNGMelanesia | 0.38 | 505,226 | 100 |
| =118 | THASouth-eastern Asia | 0.38 | 8,605,270 | 100 |
| =121 | ARGSouth America | 0.36 | 42,872,586 | 100 |
| =121 | GEOWestern Asia | 0.36 | 852,603 | 100 |
| =121 | PERSouth America | 0.36 | 8,546,463 | 100 |
| =124 | ARMWestern Asia | 0.35 | 591,179 | 100 |
| =124 | COMEastern Africa | 0.35 | 46,835 | 100 |
| =124 | ROUEastern Europe | 0.35 | 4,740,959 | 100 |
| =127 | HUNEastern Europe | 0.33 | 1,764,726 | 100 |
| =127 | SSDEastern Africa | 0.33 | 9,278,889 | 100 |
| =129 | IRQWestern Asia | 0.32 | 2,948,693 | 100 |
| =129 | SVKEastern Europe | 0.32 | 604,228 | 100 |
| =131 | BIHSouthern Europe | 0.31 | 679,614 | 100 |
| =131 | LKASouthern Asia | 0.31 | 861,180 | 100 |
| =131 | USANorthern America | 0.31 | 131,233,688 | 100 |
| =134 | CANNorthern America | 0.30 | 17,145,090 | 100 |
| =134 | MDAEastern Europe | 0.30 | 685,654 | 100 |
| =136 | CHLSouth America | 0.29 | 3,624,523 | 100 |
| =136 | STPMiddle Africa | 0.29 | 11,659 | 100 |
| =136 | TGOWestern Africa | 0.29 | 1,122,428 | 100 |
| =139 | BOLSouth America | 0.28 | 10,781,544 | 100 |
| =139 | SWZSouthern Africa | 0.28 | 343,794 | 100 |
| 141 | KIRMicronesia | 0.27 | 9,113 | 100 |
| =142 | GINWestern Africa | 0.26 | 4,231,398 | 100 |
| =142 | MLIWestern Africa | 0.26 | 11,035,879 | 100 |
| =142 | SDNNorthern Africa | 0.26 | 29,056,391 | 100 |
| =142 | TUNNorthern Africa | 0.26 | 2,495,263 | 100 |
| =146 | ESTNorthern Europe | 0.25 | 248,724 | 100 |
| =146 | LTUNorthern Europe | 0.25 | 724,315 | 100 |
| =146 | MARNorthern Africa | 0.25 | 7,652,690 | 100 |
| =146 | MKDSouthern Europe | 0.25 | 317,672 | 100 |
| =150 | GHAWestern Africa | 0.24 | 2,956,079 | 100 |
| =150 | NERWestern Africa | 0.24 | 11,284,740 | 100 |
| =152 | ERIEastern Africa | 0.23 | 1,749,850 | 100 |
| =152 | LSOSouthern Africa | 0.23 | 544,037 | 100 |
| =154 | SLBMelanesia | 0.22 | 22,677 | 100 |
| =154 | SOMEastern Africa | 0.22 | 9,904,127 | 100 |
| =154 | ZWEEastern Africa | 0.22 | 3,567,023 | 100 |
| =157 | LVANorthern Europe | 0.21 | 397,555 | 100 |
| =157 | SLEWestern Africa | 0.21 | 826,275 | 100 |
| 159 | SYRWestern Asia | 0.20 | 2,797,894 | 100 |
| 160 | YEMWestern Asia | 0.19 | 4,348,923 | 100 |
| =161 | AFGSouthern Asia | 0.18 | 6,801,735 | 100 |
| =161 | DJIEastern Africa | 0.18 | 303,082 | 100 |
| =161 | KGZCentral Asia | 0.18 | 1,899,736 | 100 |
| 164 | DZANorthern Africa | 0.17 | 6,860,428 | 100 |
| 165 | BGREastern Europe | 0.16 | 828,459 | 100 |
| =166 | MDGEastern Africa | 0.15 | 6,104,962 | 100 |
| =166 | ZAFSouthern Africa | 0.15 | 14,504,408 | 100 |
| =166 | UKREastern Europe | 0.15 | 6,220,518 | 100 |
| =169 | GNQMiddle Africa | 0.12 | 12,688 | 100 |
| =169 | LBRWestern Africa | 0.12 | 218,986 | 100 |
| =169 | ZMBEastern Africa | 0.12 | 2,778,294 | 100 |
| 172 | RUSEastern Europe | 0.11 | 24,780,566 | 100 |
| =173 | LBYNorthern Africa | 0.10 | 1,541,006 | 100 |
| =173 | MRTWestern Africa | 0.10 | 3,910,731 | 100 |
| =175 | AGOMiddle Africa | 0.09 | 4,015,335 | 100 |
| =175 | AUSAustralia and New Zealand | 0.09 | 31,245,435 | 100 |
| =175 | ISLNorthern Europe | 0.09 | 175,542 | 100 |
| =175 | MNGEastern Asia | 0.09 | 10,694,983 | 100 |
| =175 | TKMCentral Asia | 0.09 | 3,389,903 | 100 |
| 180 | CIVWestern Africa | 0.08 | 1,969,812 | 100 |
| 181 | GABMiddle Africa | 0.06 | 129,656 | 100 |
| =182 | MOZEastern Africa | 0.05 | 1,856,953 | 100 |
| =182 | NAMSouthern Africa | 0.05 | 2,087,426 | 100 |
| =184 | BWASouthern Africa | 0.04 | 994,653 | 100 |
| =184 | CODMiddle Africa | 0.04 | 1,413,529 | 100 |
| =184 | KAZCentral Asia | 0.04 | 7,718,430 | 100 |
| =187 | COGMiddle Africa | 0.02 | 262,832 | 100 |
| =187 | SAUWestern Asia | 0.02 | 3,831,752 | 100 |
02In 2016
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore54.87
- 2
Brunei13.36
- 3
Hong Kong12.94
- 4
Trinidad and Tobago7.32
- 5
Barbados6.11
Lowest
- 187
Saudi Arabiashared0.02
- 187
Republic of the Congoshared0.02
- 184
Kazakhstanshared0.04
- 184
DR Congoshared0.04
- 184
Botswanashared0.04
Neither end is better. The values describe a shape, not a score. The middle country reads 0.52. “Shared” marks a value another country also holds.
Each measure’s ends
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
- 125values changed, of 188 in both
- 92 · 33rose · fell
- 63unchanged
Rose most
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.
115 distinct values among 188
Values are stored exactly as published, to 2 decimals. 5 countries share 0.09. 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-2016-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) (2016). Livestock Density, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/2016
0663 held
Other years
‹ The year before
Livestock Density, 2015188 countries
The year after ›
Livestock Density, 2017188 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, 2016: questions and answers
Which country has the highest livestock density in Livestock Density, 2016?
Singapore, at 54.87, of the 188 countries in the file.
What year does Livestock Density, 2016 describe?
2016.
How many countries does Livestock Density, 2016 cover?
188.
Where can I download Livestock Density, 2016?
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, 2016 the newest?
No. The newest held here is Livestock Density, 2023.