Data for 1986
Livestock Density, 1986
1986, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 1986 covers 158 countries on 3 measures. Singapore is highest, at 41.84; Republic of the Congo is lowest, at 0.01. The middle country reads 0.48. Against 1985, 111 values changed (64 up, 47 down), the same countries are covered.
Livestock Density · Data for 1986
HighestSingapore
41.84LowestRepublic 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, 1986, 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 | 41.84 | 167,375 | 100 |
| 2 | HKGEastern Asia | 16.70 | 150,275 | 100 |
| 3 | NLDWestern Europe | 4.48 | 9,035,245 | 100 |
| 4 | MLTSouthern Europe | 3.13 | 40,691 | 100 |
| =5 | BRBCaribbean | 2.68 | 50,850 | 100 |
| =5 | TWNEastern Asia | 2.68 | 2,379,974 | 100 |
| 7 | BRNSouth-eastern Asia | 2.46 | 31,957 | 100 |
| 8 | TTOCaribbean | 2.02 | 143,720 | 100 |
| 9 | EGYNorthern Africa | 1.92 | 4,923,710 | 100 |
| 10 | KWTWestern Asia | 1.87 | 258,118 | 100 |
| 11 | ATGCaribbean | 1.75 | 15,771 | 100 |
| 12 | JPNEastern Asia | 1.74 | 10,420,985 | 100 |
| =13 | BHSCaribbean | 1.68 | 18,530 | 100 |
| =13 | DEUWestern Europe | 1.68 | 30,535,617 | 100 |
| 15 | DNKNorthern Europe | 1.66 | 4,686,280 | 100 |
| 16 | KOREastern Asia | 1.46 | 3,246,648 | 100 |
| 17 | CHEWestern Europe | 1.44 | 2,338,729 | 100 |
| 18 | NORNorthern Europe | 1.39 | 1,350,030 | 100 |
| 19 | BGDSouthern Asia | 1.38 | 13,867,820 | 100 |
| 20 | BHRWestern Asia | 1.35 | 13,515 | 100 |
| 21 | NPLSouthern Asia | 1.31 | 5,398,274 | 100 |
| =22 | NRUMicronesia | 1.23 | 490 | 100 |
| =22 | SURSouth America | 1.23 | 102,961 | 100 |
| 24 | IRLNorthern Europe | 1.22 | 5,930,405 | 100 |
| 25 | SYCEastern Africa | 1.20 | 7,210 | 100 |
| 26 | AUTWestern Europe | 1.18 | 3,567,958 | 100 |
| 27 | VNMSouth-eastern Asia | 1.11 | 7,449,600 | 100 |
| 28 | TONPolynesia | 1.05 | 34,750 | 100 |
| 29 | TUVPolynesia | 1.03 | 2,057 | 100 |
| 30 | NZLAustralia and New Zealand | 1.01 | 14,526,171 | 100 |
| 31 | GBRNorthern Europe | 1.00 | 18,190,820 | 100 |
| 32 | CYPWestern Asia | 0.94 | 153,286 | 100 |
| =33 | LAOSouth-eastern Asia | 0.93 | 1,524,469 | 100 |
| =33 | AREWestern Asia | 0.93 | 220,153 | 100 |
| =35 | HTICaribbean | 0.92 | 1,470,400 | 100 |
| =35 | PRKEastern Asia | 0.92 | 2,307,150 | 100 |
| =37 | FRAWestern Europe | 0.88 | 27,553,607 | 100 |
| =37 | MMRSouth-eastern Asia | 0.88 | 9,166,099 | 100 |
| 39 | INDSouthern Asia | 0.87 | 158,264,208 | 100 |
| =40 | ISRWestern Asia | 0.83 | 479,450 | 100 |
| =40 | VCTCaribbean | 0.83 | 10,840 | 100 |
| 42 | QATWestern Asia | 0.80 | 48,010 | 100 |
| 43 | JAMCaribbean | 0.78 | 370,260 | 100 |
| =44 | ITASouthern Europe | 0.77 | 13,127,950 | 100 |
| =44 | LCACaribbean | 0.77 | 16,350 | 100 |
| 46 | FINNorthern Europe | 0.76 | 1,811,300 | 100 |
| =47 | DOMCaribbean | 0.75 | 1,977,604 | 100 |
| =47 | SLVCentral America | 0.75 | 949,195 | 100 |
| 49 | WSMPolynesia | 0.73 | 57,389 | 100 |
| 50 | ROUEastern Europe | 0.72 | 10,900,395 | 100 |
| 51 | ALBSouthern Europe | 0.71 | 793,310 | 100 |
| 52 | POLEastern Europe | 0.70 | 13,276,154 | 100 |
| =53 | CRICentral America | 0.69 | 1,798,760 | 100 |
| =53 | PAKSouthern Asia | 0.69 | 24,377,506 | 100 |
| 55 | FJIMelanesia | 0.68 | 236,850 | 100 |
| 56 | SWENorthern Europe | 0.67 | 2,345,633 | 100 |
| =57 | HNDCentral America | 0.66 | 2,152,805 | 100 |
| =57 | PRTSouthern Europe | 0.66 | 2,651,900 | 100 |
| =57 | LKASouthern Asia | 0.66 | 1,529,125 | 100 |
| 60 | CUBCaribbean | 0.65 | 4,190,650 | 100 |
| =61 | GRDCaribbean | 0.62 | 8,641 | 100 |
| =61 | LBNWestern Asia | 0.62 | 372,138 | 100 |
| =61 | URYSouth America | 0.62 | 9,269,796 | 100 |
| =64 | HUNEastern Europe | 0.61 | 4,010,414 | 100 |
| =64 | VUTMelanesia | 0.61 | 85,460 | 100 |
| 66 | BGREastern Europe | 0.60 | 3,685,227 | 100 |
| =67 | KHMSouth-eastern Asia | 0.59 | 1,924,920 | 100 |
| =67 | PANCentral America | 0.59 | 1,201,750 | 100 |
| 69 | PHLSouth-eastern Asia | 0.56 | 6,149,042 | 100 |
| 70 | BTNSouthern Asia | 0.55 | 244,300 | 100 |
| =71 | ECUSouth America | 0.54 | 4,119,415 | 100 |
| =71 | KNACaribbean | 0.54 | 6,451 | 100 |
| 73 | CPVWestern Africa | 0.53 | 34,630 | 100 |
| 74 | DMACaribbean | 0.52 | 9,930 | 100 |
| =75 | BLZCentral America | 0.50 | 51,860 | 100 |
| =75 | GNBWestern Africa | 0.50 | 272,787 | 100 |
| =77 | NICCentral America | 0.49 | 1,880,550 | 100 |
| =77 | VENSouth America | 0.49 | 10,705,122 | 100 |
| =79 | GTMCentral America | 0.48 | 1,814,045 | 100 |
| =79 | TLSSouth-eastern Asia | 0.48 | 141,103 | 100 |
| 81 | BRASouth America | 0.47 | 114,195,442 | 100 |
| =82 | MUSEastern Africa | 0.45 | 51,805 | 100 |
| =82 | THASouth-eastern Asia | 0.45 | 9,421,915 | 100 |
| 84 | COLSouth America | 0.44 | 19,776,366 | 100 |
| =85 | BENWestern Africa | 0.42 | 909,540 | 100 |
| =85 | PRYSouth America | 0.42 | 5,808,450 | 100 |
| =85 | TURWestern Asia | 0.42 | 16,271,010 | 100 |
| =88 | IDNSouth-eastern Asia | 0.39 | 15,958,265 | 100 |
| =88 | ESPSouthern Europe | 0.39 | 11,805,885 | 100 |
| 90 | CHNEastern Asia | 0.38 | 185,384,474 | 100 |
| =91 | COMEastern Africa | 0.37 | 41,130 | 100 |
| =91 | MEXCentral America | 0.37 | 37,480,080 | 100 |
| 93 | GMBWestern Africa | 0.36 | 211,400 | 100 |
| 94 | SLBMelanesia | 0.35 | 23,360 | 100 |
| =95 | ARGSouth America | 0.34 | 43,816,606 | 100 |
| =95 | BFAWestern Africa | 0.34 | 3,210,970 | 100 |
| =95 | IRQWestern Asia | 0.34 | 3,229,054 | 100 |
| =98 | CMRMiddle Africa | 0.33 | 3,071,251 | 100 |
| =98 | PNGMelanesia | 0.33 | 285,576 | 100 |
| 100 | KENEastern Africa | 0.32 | 8,502,839 | 100 |
| 101 | USANorthern America | 0.31 | 135,754,850 | 100 |
| =102 | GRCSouthern Europe | 0.29 | 2,693,267 | 100 |
| =102 | JORWestern Asia | 0.29 | 331,973 | 100 |
| =102 | MYSSouth-eastern Asia | 0.29 | 1,671,285 | 100 |
| =102 | PERSouth America | 0.29 | 6,361,550 | 100 |
| =106 | SWZSouthern Africa | 0.28 | 376,975 | 100 |
| =106 | UGAEastern Africa | 0.28 | 3,366,950 | 100 |
| =108 | CAFMiddle Africa | 0.27 | 1,325,890 | 100 |
| =108 | LSOSouthern Africa | 0.27 | 627,652 | 100 |
| =110 | RWAEastern Africa | 0.26 | 470,553 | 100 |
| =110 | ZWEEastern Africa | 0.26 | 3,301,160 | 100 |
| 112 | OMNWestern Asia | 0.25 | 266,250 | 100 |
| =113 | CANNorthern America | 0.24 | 14,820,805 | 100 |
| =113 | IRNSouthern Asia | 0.24 | 14,270,739 | 100 |
| =113 | TZAEastern Africa | 0.24 | 7,704,182 | 100 |
| =116 | CHLSouth America | 0.23 | 3,730,570 | 100 |
| =116 | SENWestern Africa | 0.23 | 2,062,100 | 100 |
| =116 | SOMEastern Africa | 0.23 | 9,952,946 | 100 |
| =119 | GUYSouth America | 0.20 | 141,100 | 100 |
| =119 | NGAWestern Africa | 0.20 | 11,367,230 | 100 |
| =121 | BDIEastern Africa | 0.19 | 396,141 | 100 |
| =121 | TUNNorthern Africa | 0.19 | 1,723,665 | 100 |
| =123 | MWIEastern Africa | 0.18 | 755,680 | 100 |
| =123 | MARNorthern Africa | 0.18 | 5,265,525 | 100 |
| 125 | MDGEastern Africa | 0.16 | 5,720,406 | 100 |
| =126 | BOLSouth America | 0.15 | 5,391,231 | 100 |
| =126 | DJIEastern Africa | 0.15 | 191,750 | 100 |
| =126 | SYRWestern Asia | 0.15 | 2,040,073 | 100 |
| =129 | ZAFSouthern Africa | 0.14 | 12,844,201 | 100 |
| =129 | TGOWestern Africa | 0.14 | 419,343 | 100 |
| 131 | STPMiddle Africa | 0.13 | 3,889 | 100 |
| 132 | MLIWestern Africa | 0.12 | 3,819,350 | 100 |
| =133 | KIRMicronesia | 0.11 | 4,200 | 100 |
| =133 | LBRWestern Africa | 0.11 | 131,600 | 100 |
| =133 | NERWestern Africa | 0.11 | 3,583,166 | 100 |
| =136 | DZANorthern Africa | 0.10 | 3,809,470 | 100 |
| =136 | ISLNorthern Europe | 0.10 | 181,141 | 100 |
| =138 | AFGSouthern Asia | 0.09 | 3,430,050 | 100 |
| =138 | TCDMiddle Africa | 0.09 | 4,507,450 | 100 |
| =138 | GNQMiddle Africa | 0.09 | 9,325 | 100 |
| =138 | GHAWestern Africa | 0.09 | 1,075,098 | 100 |
| =138 | SLEWestern Africa | 0.09 | 267,100 | 100 |
| =143 | AUSAustralia and New Zealand | 0.08 | 37,244,491 | 100 |
| =143 | YEMWestern Asia | 0.08 | 1,976,212 | 100 |
| 145 | ZMBEastern Africa | 0.07 | 1,481,617 | 100 |
| 146 | LBYNorthern Africa | 0.06 | 991,750 | 100 |
| =147 | AGOMiddle Africa | 0.05 | 2,078,330 | 100 |
| =147 | BWASouthern Africa | 0.05 | 1,392,490 | 100 |
| =147 | CIVWestern Africa | 0.05 | 924,900 | 100 |
| =147 | CODMiddle Africa | 0.05 | 1,381,984 | 100 |
| =147 | MRTWestern Africa | 0.05 | 1,981,800 | 100 |
| =152 | GABMiddle Africa | 0.04 | 78,660 | 100 |
| =152 | GINWestern Africa | 0.04 | 590,519 | 100 |
| =152 | MNGEastern Asia | 0.04 | 5,065,097 | 100 |
| =152 | NAMSouthern Africa | 0.04 | 1,489,829 | 100 |
| 156 | MOZEastern Africa | 0.03 | 983,900 | 100 |
| 157 | SAUWestern Asia | 0.02 | 2,241,286 | 100 |
| 158 | COGMiddle Africa | 0.01 | 95,302 | 100 |
02In 1986
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore41.84
- 2
Hong Kong16.70
- 3
Netherlands4.48
- 4
Malta3.13
- 5
Barbadosshared2.68
Lowest
- 158
Republic of the Congo0.01
- 157
Saudi Arabia0.02
- 156
Mozambique0.03
- 152
Namibiashared0.04
- 152
Mongoliashared0.04
Neither end is better. The values describe a shape, not a score. The middle country reads 0.48. “Shared” marks a value another country also holds.
Each measure’s ends
031985 → 1986
Since 1985
What changed between 1985 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 111values changed, of 158 in both
- 64 · 47rose · fell
- 47unchanged
Rose most
Barbados2.35 → 2.68+0.33
Qatar0.67 → 0.80+0.13
Bahrain1.23 → 1.35+0.12
Netherlands4.38 → 4.48+0.10
Malta3.03 → 3.13+0.10
Fell most
Hong Kong20.49 → 16.70−3.79
Brunei2.83 → 2.46−0.37
Singapore42.13 → 41.84−0.29
Israel0.95 → 0.83−0.12
Saint Vincent and the Grenadines0.92 → 0.83−0.09
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 1986.
99 distinct values among 158
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 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-1986-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) (1986). Livestock Density, 1986 [data set], describing 1986. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/1986
0663 held
Other years
‹ The year before
Livestock Density, 1985158 countries
The year after ›
Livestock Density, 1987158 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, 1986: questions and answers
Which country has the highest livestock density in Livestock Density, 1986?
Singapore, at 41.84, of the 158 countries in the file.
What year does Livestock Density, 1986 describe?
1986.
How many countries does Livestock Density, 1986 cover?
158.
Where can I download Livestock Density, 1986?
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, 1986 the newest?
No. The newest held here is Livestock Density, 2023.