Data for 1989
Livestock Density, 1989
1989, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 1989 covers 158 countries on 3 measures. Singapore is highest, at 55.41; Republic of the Congo is lowest, at 0.01. The middle country reads 0.50. Against 1988, 109 values changed (74 up, 35 down), the same countries are covered.
Livestock Density · Data for 1989
HighestSingapore
55.41LowestRepublic of the Congo
0.01Shaded 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, 1989, 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 158 countries · select a heading to sort
| derived | ||||
|---|---|---|---|---|
| 1 | SGPSouth-eastern Asia | 55.41 | 110,822 | 100 |
| 2 | HKGEastern Asia | 18.65 | 149,229 | 100 |
| 3 | NLDWestern Europe | 4.39 | 8,813,223 | 100 |
| 4 | BRBCaribbean | 3.61 | 68,680 | 100 |
| 5 | MLTSouthern Europe | 3.33 | 43,272 | 100 |
| 6 | TWNEastern Asia | 2.96 | 2,651,451 | 100 |
| 7 | KWTWestern Asia | 2.35 | 331,461 | 100 |
| 8 | TTOCaribbean | 2.34 | 168,410 | 100 |
| 9 | EGYNorthern Africa | 2.24 | 5,765,690 | 100 |
| 10 | BRNSouth-eastern Asia | 2.11 | 27,395 | 100 |
| 11 | BHSCaribbean | 1.98 | 21,807 | 100 |
| 12 | BHRWestern Asia | 1.84 | 18,436 | 100 |
| 13 | JPNEastern Asia | 1.81 | 10,637,540 | 100 |
| 14 | DNKNorthern Europe | 1.62 | 4,484,730 | 100 |
| =15 | ATGCaribbean | 1.61 | 14,511 | 100 |
| =15 | DEUWestern Europe | 1.61 | 29,037,101 | 100 |
| 17 | SYCEastern Africa | 1.60 | 7,990 | 100 |
| 18 | SURSouth America | 1.54 | 135,361 | 100 |
| 19 | KOREastern Asia | 1.44 | 3,169,542 | 100 |
| =20 | BGDSouthern Asia | 1.41 | 14,768,104 | 100 |
| =20 | CHEWestern Europe | 1.41 | 2,269,510 | 100 |
| =22 | NRUMicronesia | 1.32 | 530 | 100 |
| =22 | NPLSouthern Asia | 1.32 | 5,476,263 | 100 |
| 24 | NORNorthern Europe | 1.30 | 1,292,160 | 100 |
| 25 | IRLNorthern Europe | 1.28 | 6,005,720 | 100 |
| 26 | TUVPolynesia | 1.27 | 2,541 | 100 |
| 27 | QATWestern Asia | 1.24 | 74,666 | 100 |
| 28 | VNMSouth-eastern Asia | 1.19 | 8,010,520 | 100 |
| 29 | TONPolynesia | 1.17 | 37,388 | 100 |
| =30 | AUTWestern Europe | 1.13 | 3,449,259 | 100 |
| =30 | WSMPolynesia | 1.13 | 61,044 | 100 |
| 32 | AREWestern Asia | 1.09 | 261,593 | 100 |
| 33 | CYPWestern Asia | 1.04 | 168,228 | 100 |
| 34 | LAOSouth-eastern Asia | 1.03 | 1,707,511 | 100 |
| 35 | GBRNorthern Europe | 1.00 | 18,268,660 | 100 |
| 36 | VCTCaribbean | 0.98 | 10,745 | 100 |
| 37 | PRKEastern Asia | 0.97 | 2,424,275 | 100 |
| 38 | NZLAustralia and New Zealand | 0.96 | 13,478,306 | 100 |
| 39 | ISRWestern Asia | 0.90 | 515,760 | 100 |
| 40 | INDSouthern Asia | 0.89 | 162,316,100 | 100 |
| 41 | HTICaribbean | 0.84 | 1,347,900 | 100 |
| =42 | FRAWestern Europe | 0.83 | 25,619,077 | 100 |
| =42 | MMRSouth-eastern Asia | 0.83 | 8,624,077 | 100 |
| 44 | DOMCaribbean | 0.82 | 2,148,520 | 100 |
| 45 | ALBSouthern Europe | 0.81 | 896,245 | 100 |
| 46 | SLVCentral America | 0.80 | 1,013,410 | 100 |
| =47 | ITASouthern Europe | 0.78 | 13,110,815 | 100 |
| =47 | JAMCaribbean | 0.78 | 371,225 | 100 |
| 49 | LCACaribbean | 0.77 | 16,270 | 100 |
| 50 | ROUEastern Europe | 0.74 | 10,916,060 | 100 |
| 51 | CRICentral America | 0.73 | 1,747,010 | 100 |
| 52 | PAKSouthern Asia | 0.72 | 25,930,155 | 100 |
| 53 | CPVWestern Africa | 0.71 | 47,520 | 100 |
| 54 | FINNorthern Europe | 0.70 | 1,662,075 | 100 |
| =55 | DMACaribbean | 0.68 | 12,210 | 100 |
| =55 | POLEastern Europe | 0.68 | 12,819,683 | 100 |
| =57 | LKASouthern Asia | 0.67 | 1,556,445 | 100 |
| =57 | SWENorthern Europe | 0.67 | 2,274,421 | 100 |
| 59 | URYSouth America | 0.64 | 9,529,603 | 100 |
| =60 | CUBCaribbean | 0.63 | 4,236,425 | 100 |
| =60 | FJIMelanesia | 0.63 | 248,300 | 100 |
| =60 | GRDCaribbean | 0.63 | 8,243 | 100 |
| =60 | PRTSouthern Europe | 0.63 | 2,534,450 | 100 |
| 64 | LBNWestern Asia | 0.62 | 376,449 | 100 |
| =65 | HNDCentral America | 0.61 | 2,058,354 | 100 |
| =65 | HUNEastern Europe | 0.61 | 3,937,755 | 100 |
| =67 | ECUSouth America | 0.59 | 4,591,719 | 100 |
| =67 | MUSEastern Africa | 0.59 | 66,255 | 100 |
| =67 | VUTMelanesia | 0.59 | 87,301 | 100 |
| =70 | BGREastern Europe | 0.58 | 3,581,239 | 100 |
| =70 | NICCentral America | 0.58 | 2,315,990 | 100 |
| =70 | PHLSouth-eastern Asia | 0.58 | 6,402,693 | 100 |
| =73 | PANCentral America | 0.56 | 1,185,280 | 100 |
| =73 | TLSSouth-eastern Asia | 0.56 | 169,881 | 100 |
| =75 | BTNSouthern Asia | 0.55 | 250,276 | 100 |
| =75 | GNBWestern Africa | 0.55 | 311,725 | 100 |
| 77 | KHMSouth-eastern Asia | 0.54 | 2,410,870 | 100 |
| 78 | BRASouth America | 0.52 | 123,475,109 | 100 |
| 79 | VENSouth America | 0.51 | 11,218,395 | 100 |
| 80 | KNACaribbean | 0.49 | 5,887 | 100 |
| 81 | PRYSouth America | 0.48 | 6,697,747 | 100 |
| 82 | COLSouth America | 0.46 | 20,616,303 | 100 |
| 83 | BLZCentral America | 0.45 | 54,550 | 100 |
| 84 | THASouth-eastern Asia | 0.44 | 9,346,953 | 100 |
| 85 | GTMCentral America | 0.43 | 1,860,540 | 100 |
| 86 | ESPSouthern Europe | 0.42 | 12,769,150 | 100 |
| =87 | CHNEastern Asia | 0.41 | 203,845,461 | 100 |
| =87 | TURWestern Asia | 0.41 | 16,461,000 | 100 |
| 89 | IDNSouth-eastern Asia | 0.40 | 17,634,870 | 100 |
| =90 | GMBWestern Africa | 0.39 | 227,410 | 100 |
| =90 | IRQWestern Asia | 0.39 | 3,604,350 | 100 |
| 92 | BENWestern Africa | 0.38 | 839,830 | 100 |
| =93 | CMRMiddle Africa | 0.37 | 3,370,600 | 100 |
| =93 | COMEastern Africa | 0.37 | 41,712 | 100 |
| 95 | MEXCentral America | 0.36 | 37,760,540 | 100 |
| =96 | BFAWestern Africa | 0.35 | 3,463,500 | 100 |
| =96 | JORWestern Asia | 0.35 | 396,688 | 100 |
| =96 | KENEastern Africa | 0.35 | 9,499,285 | 100 |
| 99 | ARGSouth America | 0.34 | 43,672,901 | 100 |
| 100 | PNGMelanesia | 0.32 | 286,933 | 100 |
| 101 | SWZSouthern Africa | 0.31 | 391,505 | 100 |
| 102 | USANorthern America | 0.30 | 129,297,350 | 100 |
| =103 | CAFMiddle Africa | 0.29 | 1,448,595 | 100 |
| =103 | GRCSouthern Europe | 0.29 | 2,686,628 | 100 |
| =103 | LSOSouthern Africa | 0.29 | 670,608 | 100 |
| =103 | PERSouth America | 0.29 | 6,432,760 | 100 |
| =103 | SLBMelanesia | 0.29 | 19,715 | 100 |
| =108 | OMNWestern Asia | 0.27 | 287,450 | 100 |
| =108 | ZWEEastern Africa | 0.27 | 3,427,200 | 100 |
| =110 | MYSSouth-eastern Asia | 0.26 | 1,777,190 | 100 |
| =110 | RWAEastern Africa | 0.26 | 481,183 | 100 |
| =110 | SENWestern Africa | 0.26 | 2,257,300 | 100 |
| =110 | UGAEastern Africa | 0.26 | 3,059,170 | 100 |
| =114 | CANNorthern America | 0.25 | 15,213,260 | 100 |
| =114 | IRNSouthern Asia | 0.25 | 15,683,210 | 100 |
| =114 | TZAEastern Africa | 0.25 | 7,954,172 | 100 |
| =117 | CHLSouth America | 0.24 | 3,857,314 | 100 |
| =117 | SOMEastern Africa | 0.24 | 10,751,220 | 100 |
| =119 | GUYSouth America | 0.22 | 158,750 | 100 |
| =119 | NGAWestern Africa | 0.22 | 12,712,570 | 100 |
| 121 | TUNNorthern Africa | 0.20 | 1,836,420 | 100 |
| 122 | MARNorthern Africa | 0.19 | 5,790,301 | 100 |
| 123 | BDIEastern Africa | 0.18 | 384,847 | 100 |
| =124 | BOLSouth America | 0.17 | 6,018,787 | 100 |
| =124 | DJIEastern Africa | 0.17 | 223,000 | 100 |
| =124 | SYRWestern Asia | 0.17 | 2,324,194 | 100 |
| =124 | TGOWestern Africa | 0.17 | 540,040 | 100 |
| =128 | MDGEastern Africa | 0.16 | 5,718,359 | 100 |
| =128 | MWIEastern Africa | 0.16 | 679,480 | 100 |
| 130 | ZAFSouthern Africa | 0.14 | 13,661,201 | 100 |
| =131 | MLIWestern Africa | 0.13 | 4,121,493 | 100 |
| =131 | NERWestern Africa | 0.13 | 3,992,578 | 100 |
| =131 | STPMiddle Africa | 0.13 | 4,046 | 100 |
| =134 | TCDMiddle Africa | 0.11 | 5,318,860 | 100 |
| =134 | KIRMicronesia | 0.11 | 4,350 | 100 |
| =134 | LBRWestern Africa | 0.11 | 133,000 | 100 |
| =137 | AFGSouthern Asia | 0.10 | 3,644,050 | 100 |
| =137 | DZANorthern Africa | 0.10 | 4,004,310 | 100 |
| =137 | GHAWestern Africa | 0.10 | 1,229,351 | 100 |
| =137 | SLEWestern Africa | 0.10 | 274,930 | 100 |
| =141 | GNQMiddle Africa | 0.09 | 9,770 | 100 |
| =141 | ISLNorthern Europe | 0.09 | 179,289 | 100 |
| =141 | YEMWestern Asia | 0.09 | 2,056,872 | 100 |
| =144 | AUSAustralia and New Zealand | 0.08 | 37,885,636 | 100 |
| =144 | ZMBEastern Africa | 0.08 | 1,602,340 | 100 |
| 146 | LBYNorthern Africa | 0.07 | 1,042,250 | 100 |
| =147 | BWASouthern Africa | 0.06 | 1,568,250 | 100 |
| =147 | CIVWestern Africa | 0.06 | 1,031,100 | 100 |
| =147 | CODMiddle Africa | 0.06 | 1,632,664 | 100 |
| =147 | GINWestern Africa | 0.06 | 890,886 | 100 |
| =147 | MRTWestern Africa | 0.06 | 2,187,580 | 100 |
| 152 | GABMiddle Africa | 0.05 | 90,183 | 100 |
| =153 | AGOMiddle Africa | 0.04 | 1,951,220 | 100 |
| =153 | MNGEastern Asia | 0.04 | 5,300,555 | 100 |
| =153 | NAMSouthern Africa | 0.04 | 1,576,650 | 100 |
| 156 | MOZEastern Africa | 0.03 | 1,042,400 | 100 |
| 157 | SAUWestern Asia | 0.02 | 2,142,618 | 100 |
| 158 | COGMiddle Africa | 0.01 | 93,097 | 100 |
02In 1989
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore55.41
- 2
Hong Kong18.65
- 3
Netherlands4.39
- 4
Barbados3.61
- 5
Malta3.33
Lowest
- 158
Republic of the Congo0.01
- 157
Saudi Arabia0.02
- 156
Mozambique0.03
- 153
Namibiashared0.04
- 153
Mongoliashared0.04
Neither end is better. The values describe a shape, not a score. The middle country reads 0.50. “Shared” marks a value another country also holds.
Each measure’s ends
031988 → 1989
Since 1988
What changed between 1988 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 109values changed, of 158 in both
- 74 · 35rose · fell
- 49unchanged
Rose most
Singapore34.51 → 55.41+20.90
Hong Kong17.24 → 18.65+1.41
Barbados3.09 → 3.61+0.52
Trinidad and Tobago1.93 → 2.34+0.41
Tuvalu0.94 → 1.27+0.33
Fell most
Brunei2.41 → 2.11−0.30
Antigua and Barbuda1.76 → 1.61−0.15
Tonga1.28 → 1.17−0.11
Myanmar0.92 → 0.83−0.09
Norway1.34 → 1.30−0.04
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 1989.
103 distinct values among 158
Values are stored exactly as published, to 2 decimals. 5 countries share 0.29. 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 158 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
158 rows · 6.2 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download livestock-density-1989-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) (1989). Livestock Density, 1989 [data set], describing 1989. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/1989
0663 held
Other years
‹ The year before
Livestock Density, 1988158 countries
The year after ›
Livestock Density, 1990158 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, 1989: questions and answers
Which country has the highest livestock density in Livestock Density, 1989?
Singapore, at 55.41, of the 158 countries in the file.
What year does Livestock Density, 1989 describe?
1989.
How many countries does Livestock Density, 1989 cover?
158.
Where can I download Livestock Density, 1989?
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, 1989 the newest?
No. The newest held here is Livestock Density, 2023.