Data for 2019
Livestock Density, 2019
2019, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 2019 covers 188 countries on 3 measures. Singapore is highest, at 54.24; 2 countries share the lowest reading, 0.02. The middle country reads 0.54. Against 2018, 125 values changed (76 up, 49 down), the same countries are covered.
Livestock Density · Data for 2019
HighestSingapore
54.24Lowest2 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, 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 188 countries · select a heading to sort
| derived | ||||
|---|---|---|---|---|
| 1 | SGPSouth-eastern Asia | 54.24 | 35,800 | 100 |
| 2 | HKGEastern Asia | 14.42 | 72,115 | 100 |
| 3 | BRNSouth-eastern Asia | 12.92 | 173,163 | 100 |
| 4 | TTOCaribbean | 7.82 | 422,206 | 100 |
| 5 | QATWestern Asia | 7.13 | 527,374 | 100 |
| 6 | BRBCaribbean | 6.78 | 67,779 | 100 |
| 7 | KWTWestern Asia | 4.46 | 668,412 | 100 |
| 8 | KOREastern Asia | 4.26 | 6,967,810 | 100 |
| 9 | NLDWestern Europe | 4.15 | 7,534,379 | 100 |
| 10 | FSMMicronesia | 4.05 | 20,236 | 100 |
| 11 | BHRWestern Asia | 4.01 | 32,452 | 100 |
| 12 | TWNEastern Asia | 3.14 | 2,477,393 | 100 |
| 13 | BELWestern Europe | 3.07 | 4,163,926 | 100 |
| 14 | AREWestern Asia | 2.89 | 1,127,836 | 100 |
| 15 | BHSCaribbean | 2.80 | 36,387 | 100 |
| 16 | NPLSouthern Asia | 2.27 | 8,709,871 | 100 |
| 17 | SYCEastern Africa | 2.07 | 3,207 | 100 |
| 18 | BGDSouthern Asia | 1.99 | 18,687,930 | 100 |
| =19 | MUSEastern Africa | 1.95 | 167,440 | 100 |
| =19 | PAKSouthern Asia | 1.95 | 70,888,950 | 100 |
| 21 | TUVPolynesia | 1.92 | 3,448 | 100 |
| 22 | JPNEastern Asia | 1.91 | 8,984,156 | 100 |
| 23 | DNKNorthern Europe | 1.83 | 4,799,520 | 100 |
| 24 | LCACaribbean | 1.80 | 17,928 | 100 |
| =25 | LAOSouth-eastern Asia | 1.67 | 3,777,389 | 100 |
| =25 | MLTSouthern Europe | 1.67 | 17,371 | 100 |
| 27 | DOMCaribbean | 1.65 | 4,275,522 | 100 |
| 28 | NRUMicronesia | 1.63 | 651 | 100 |
| 29 | LUXWestern Europe | 1.52 | 199,658 | 100 |
| 30 | EGYNorthern Africa | 1.51 | 5,918,503 | 100 |
| 31 | IRLNorthern Europe | 1.49 | 6,742,123 | 100 |
| =32 | GRDCaribbean | 1.45 | 11,583 | 100 |
| =32 | ISRWestern Asia | 1.45 | 923,869 | 100 |
| =34 | CYPWestern Asia | 1.43 | 179,437 | 100 |
| =34 | NORNorthern Europe | 1.43 | 1,403,713 | 100 |
| 36 | LBNWestern Asia | 1.36 | 911,041 | 100 |
| 37 | TLSSouth-eastern Asia | 1.31 | 445,623 | 100 |
| 38 | CHEWestern Europe | 1.28 | 1,920,797 | 100 |
| 39 | ETHEastern Africa | 1.24 | 47,520,618 | 100 |
| =40 | NZLAustralia and New Zealand | 1.18 | 12,163,530 | 100 |
| =40 | VNMSouth-eastern Asia | 1.18 | 14,634,258 | 100 |
| 42 | ATGCaribbean | 1.14 | 10,233 | 100 |
| 43 | SURSouth America | 1.13 | 94,775 | 100 |
| 44 | VCTCaribbean | 1.12 | 7,857 | 100 |
| =45 | HTICaribbean | 1.04 | 1,868,181 | 100 |
| =45 | IDNSouth-eastern Asia | 1.04 | 55,887,350 | 100 |
| =45 | TONPolynesia | 1.04 | 36,552 | 100 |
| =48 | DEUWestern Europe | 1.03 | 17,165,754 | 100 |
| =48 | INDSouthern Asia | 1.03 | 184,196,649 | 100 |
| 50 | WSMPolynesia | 0.99 | 49,158 | 100 |
| 51 | ECUSouth America | 0.97 | 5,178,224 | 100 |
| =52 | AUTWestern Europe | 0.92 | 2,434,392 | 100 |
| =52 | CRICentral America | 0.92 | 1,581,890 | 100 |
| =54 | GTMCentral America | 0.89 | 4,099,406 | 100 |
| =54 | GBRNorthern Europe | 0.89 | 15,639,617 | 100 |
| 56 | JAMCaribbean | 0.85 | 354,441 | 100 |
| =57 | MMRSouth-eastern Asia | 0.83 | 10,713,377 | 100 |
| =57 | NICCentral America | 0.83 | 4,228,109 | 100 |
| 59 | FRAWestern Europe | 0.81 | 23,185,176 | 100 |
| =60 | BRASouth America | 0.77 | 183,304,956 | 100 |
| =60 | HNDCentral America | 0.77 | 2,714,497 | 100 |
| 62 | UGAEastern Africa | 0.75 | 10,872,813 | 100 |
| 63 | GNBWestern Africa | 0.74 | 600,592 | 100 |
| =64 | JORWestern Asia | 0.73 | 757,185 | 100 |
| =64 | PHLSouth-eastern Asia | 0.73 | 9,239,334 | 100 |
| 66 | KENEastern Africa | 0.72 | 20,669,790 | 100 |
| =67 | CPVWestern Africa | 0.68 | 54,085 | 100 |
| =67 | ITASouthern Europe | 0.68 | 8,954,638 | 100 |
| =67 | PANCentral America | 0.68 | 1,474,763 | 100 |
| =67 | RWAEastern Africa | 0.68 | 1,293,438 | 100 |
| =71 | SLVCentral America | 0.67 | 798,359 | 100 |
| =71 | SWENorthern Europe | 0.67 | 2,011,826 | 100 |
| =71 | URYSouth America | 0.67 | 9,395,245 | 100 |
| 74 | SVNSouthern Europe | 0.66 | 403,619 | 100 |
| =75 | MWIEastern Africa | 0.65 | 3,841,829 | 100 |
| =75 | VENSouth America | 0.65 | 14,055,905 | 100 |
| =77 | BFAWestern Africa | 0.64 | 9,025,180 | 100 |
| =77 | FJIMelanesia | 0.64 | 199,232 | 100 |
| 79 | CUBCaribbean | 0.63 | 4,012,055 | 100 |
| =80 | CAFMiddle Africa | 0.60 | 3,277,433 | 100 |
| =80 | TCDMiddle Africa | 0.60 | 30,367,646 | 100 |
| =80 | PRKEastern Asia | 0.60 | 1,564,899 | 100 |
| =80 | PRTSouthern Europe | 0.60 | 2,381,617 | 100 |
| =84 | AZEWestern Asia | 0.59 | 2,800,567 | 100 |
| =84 | POLEastern Europe | 0.59 | 8,544,460 | 100 |
| =84 | ESPSouthern Europe | 0.59 | 15,566,259 | 100 |
| =87 | ALBSouthern Europe | 0.58 | 676,445 | 100 |
| =87 | BLZCentral America | 0.58 | 100,386 | 100 |
| =87 | OMNWestern Asia | 0.58 | 845,664 | 100 |
| 90 | TJKCentral Asia | 0.57 | 2,207,966 | 100 |
| 91 | BDIEastern Africa | 0.56 | 1,145,526 | 100 |
| 92 | TURWestern Asia | 0.55 | 20,908,089 | 100 |
| =93 | COLSouth America | 0.54 | 23,932,061 | 100 |
| =93 | KNACaribbean | 0.54 | 3,232 | 100 |
| =95 | DMACaribbean | 0.53 | 13,147 | 100 |
| =95 | GUYSouth America | 0.53 | 383,357 | 100 |
| =97 | BLREastern Europe | 0.52 | 4,366,028 | 100 |
| =97 | FINNorthern Europe | 0.52 | 1,171,367 | 100 |
| 99 | KHMSouth-eastern Asia | 0.51 | 3,016,441 | 100 |
| =100 | PRYSouth America | 0.50 | 10,445,036 | 100 |
| =100 | TZAEastern Africa | 0.50 | 19,509,056 | 100 |
| 102 | CMRMiddle Africa | 0.49 | 4,787,048 | 100 |
| =103 | HRVSouthern Europe | 0.47 | 703,120 | 100 |
| =103 | SENWestern Africa | 0.47 | 4,439,027 | 100 |
| =103 | SRBSouthern Europe | 0.47 | 1,611,058 | 100 |
| =106 | MYSSouth-eastern Asia | 0.45 | 3,866,693 | 100 |
| =106 | MEXCentral America | 0.45 | 43,626,527 | 100 |
| =108 | BTNSouthern Asia | 0.44 | 223,290 | 100 |
| =108 | IRNSouthern Asia | 0.44 | 20,458,289 | 100 |
| =110 | CHNEastern Asia | 0.43 | 224,663,579 | 100 |
| =110 | UZBCentral Asia | 0.43 | 10,912,594 | 100 |
| =110 | VUTMelanesia | 0.43 | 79,597 | 100 |
| =113 | BENWestern Africa | 0.41 | 1,882,311 | 100 |
| =113 | CZEEastern Europe | 0.41 | 1,460,902 | 100 |
| =115 | GMBWestern Africa | 0.40 | 251,646 | 100 |
| =115 | NGAWestern Africa | 0.40 | 27,482,113 | 100 |
| 117 | ARGSouth America | 0.38 | 44,625,855 | 100 |
| =118 | PNGMelanesia | 0.37 | 514,786 | 100 |
| =118 | PERSouth America | 0.37 | 8,714,555 | 100 |
| =118 | SSDEastern Africa | 0.37 | 10,500,276 | 100 |
| =118 | THASouth-eastern Asia | 0.37 | 8,568,956 | 100 |
| =122 | COMEastern Africa | 0.36 | 47,342 | 100 |
| =122 | IRQWestern Asia | 0.36 | 3,372,043 | 100 |
| =124 | LKASouthern Asia | 0.34 | 947,946 | 100 |
| =124 | TGOWestern Africa | 0.34 | 1,312,038 | 100 |
| =126 | CHLSouth America | 0.33 | 3,816,695 | 100 |
| =126 | GEOWestern Asia | 0.33 | 779,624 | 100 |
| =126 | MNESouthern Europe | 0.33 | 84,685 | 100 |
| =129 | GRCSouthern Europe | 0.32 | 1,863,750 | 100 |
| =129 | HUNEastern Europe | 0.32 | 1,663,280 | 100 |
| =129 | USANorthern America | 0.32 | 136,215,136 | 100 |
| =132 | BIHSouthern Europe | 0.31 | 678,112 | 100 |
| =132 | MDAEastern Europe | 0.31 | 702,642 | 100 |
| =132 | ROUEastern Europe | 0.31 | 4,352,149 | 100 |
| =132 | SVKEastern Europe | 0.31 | 575,327 | 100 |
| =136 | ARMWestern Asia | 0.30 | 506,191 | 100 |
| =136 | BOLSouth America | 0.30 | 11,439,423 | 100 |
| =136 | CANNorthern America | 0.30 | 17,333,253 | 100 |
| =136 | GINWestern Africa | 0.30 | 4,983,829 | 100 |
| =136 | MLIWestern Africa | 0.30 | 12,640,112 | 100 |
| =136 | STPMiddle Africa | 0.30 | 12,509 | 100 |
| 142 | SWZSouthern Africa | 0.29 | 352,612 | 100 |
| =143 | KIRMicronesia | 0.28 | 9,469 | 100 |
| =143 | NERWestern Africa | 0.28 | 12,940,056 | 100 |
| =145 | GHAWestern Africa | 0.27 | 3,341,908 | 100 |
| =145 | MARNorthern Africa | 0.27 | 7,989,241 | 100 |
| =147 | ESTNorthern Europe | 0.26 | 256,430 | 100 |
| =147 | SDNNorthern Africa | 0.26 | 29,646,644 | 100 |
| =147 | TUNNorthern Africa | 0.26 | 2,508,365 | 100 |
| 150 | SLEWestern Africa | 0.25 | 975,412 | 100 |
| =151 | ERIEastern Africa | 0.23 | 1,780,697 | 100 |
| =151 | SOMEastern Africa | 0.23 | 9,937,255 | 100 |
| =153 | LSOSouthern Africa | 0.22 | 479,999 | 100 |
| =153 | LTUNorthern Europe | 0.22 | 659,207 | 100 |
| =153 | SLBMelanesia | 0.22 | 22,664 | 100 |
| =153 | ZWEEastern Africa | 0.22 | 3,513,414 | 100 |
| 157 | MKDSouthern Europe | 0.21 | 263,710 | 100 |
| 158 | KGZCentral Asia | 0.20 | 2,046,249 | 100 |
| 159 | YEMWestern Asia | 0.19 | 4,561,333 | 100 |
| =160 | AFGSouthern Asia | 0.18 | 6,783,987 | 100 |
| =160 | DJIEastern Africa | 0.18 | 305,824 | 100 |
| =160 | SYRWestern Asia | 0.18 | 2,452,954 | 100 |
| =163 | DZANorthern Africa | 0.17 | 6,867,081 | 100 |
| =163 | LVANorthern Europe | 0.17 | 332,353 | 100 |
| 165 | BGREastern Europe | 0.16 | 809,855 | 100 |
| =166 | ZAFSouthern Africa | 0.14 | 13,862,220 | 100 |
| =166 | UKREastern Europe | 0.14 | 5,717,138 | 100 |
| =168 | MDGEastern Africa | 0.13 | 5,338,080 | 100 |
| =168 | ZMBEastern Africa | 0.13 | 3,043,042 | 100 |
| =170 | GNQMiddle Africa | 0.12 | 12,948 | 100 |
| =170 | LBRWestern Africa | 0.12 | 221,501 | 100 |
| =170 | RUSEastern Europe | 0.12 | 24,951,688 | 100 |
| =173 | LBYNorthern Africa | 0.11 | 1,650,308 | 100 |
| =173 | MNGEastern Asia | 0.11 | 12,374,165 | 100 |
| 175 | MRTWestern Africa | 0.10 | 3,961,108 | 100 |
| =176 | AGOMiddle Africa | 0.09 | 3,932,069 | 100 |
| =176 | AUSAustralia and New Zealand | 0.09 | 31,093,276 | 100 |
| =176 | CIVWestern Africa | 0.09 | 2,315,891 | 100 |
| =176 | ISLNorthern Europe | 0.09 | 167,347 | 100 |
| =176 | TKMCentral Asia | 0.09 | 3,485,211 | 100 |
| 181 | GABMiddle Africa | 0.06 | 130,081 | 100 |
| =182 | MOZEastern Africa | 0.05 | 1,961,807 | 100 |
| =182 | NAMSouthern Africa | 0.05 | 1,884,169 | 100 |
| =184 | CODMiddle Africa | 0.04 | 1,493,110 | 100 |
| =184 | KAZCentral Asia | 0.04 | 8,038,749 | 100 |
| 186 | BWASouthern Africa | 0.03 | 663,342 | 100 |
| =187 | COGMiddle Africa | 0.02 | 262,582 | 100 |
| =187 | SAUWestern Asia | 0.02 | 4,129,712 | 100 |
02In 2019
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore54.24
- 2
Hong Kong14.42
- 3
Brunei12.92
- 4
Trinidad and Tobago7.82
- 5
Qatar7.13
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
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
- 125values changed, of 188 in both
- 76 · 49rose · fell
- 63unchanged
Rose most
Bahrain3.81 → 4.01+0.20
Barbados6.60 → 6.78+0.18
Trinidad and Tobago7.64 → 7.82+0.18
Qatar6.96 → 7.13+0.17
Timor-Leste1.16 → 1.31+0.15
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.
109 distinct values among 188
Values are stored exactly as published, to 2 decimals. 6 countries share 0.30. 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-2019-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) (2019). Livestock Density, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/2019
0663 held
Other years
‹ The year before
Livestock Density, 2018188 countries
The year after ›
Livestock Density, 2020188 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, 2019: questions and answers
Which country has the highest livestock density in Livestock Density, 2019?
Singapore, at 54.24, of the 188 countries in the file.
What year does Livestock Density, 2019 describe?
2019.
How many countries does Livestock Density, 2019 cover?
188.
Where can I download Livestock Density, 2019?
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, 2019 the newest?
No. The newest held here is Livestock Density, 2023.