Data for 1987
Livestock Density, 1987
1987, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 1987 covers 158 countries on 3 measures. Singapore is highest, at 49.08; Republic of the Congo is lowest, at 0.01. The middle country reads 0.48. Against 1986, 110 values changed (72 up, 38 down), the same countries are covered.
Livestock Density · Data for 1987
HighestSingapore
49.08LowestRepublic 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, 1987, 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 | 49.08 | 147,245 | 100 |
| 2 | HKGEastern Asia | 17.86 | 160,765 | 100 |
| 3 | NLDWestern Europe | 4.52 | 9,104,469 | 100 |
| 4 | MLTSouthern Europe | 3.15 | 40,901 | 100 |
| 5 | BRNSouth-eastern Asia | 2.93 | 38,052 | 100 |
| 6 | TWNEastern Asia | 2.88 | 2,550,767 | 100 |
| 7 | BRBCaribbean | 2.83 | 53,850 | 100 |
| 8 | KWTWestern Asia | 2.48 | 341,671 | 100 |
| 9 | TTOCaribbean | 2.08 | 147,530 | 100 |
| 10 | EGYNorthern Africa | 2.05 | 5,223,230 | 100 |
| 11 | BHSCaribbean | 1.77 | 19,420 | 100 |
| 12 | JPNEastern Asia | 1.76 | 10,514,230 | 100 |
| 13 | ATGCaribbean | 1.75 | 15,781 | 100 |
| 14 | DEUWestern Europe | 1.67 | 30,273,472 | 100 |
| 15 | DNKNorthern Europe | 1.66 | 4,646,540 | 100 |
| 16 | KOREastern Asia | 1.46 | 3,233,682 | 100 |
| =17 | BHRWestern Asia | 1.41 | 14,108 | 100 |
| =17 | CHEWestern Europe | 1.41 | 2,283,676 | 100 |
| 19 | BGDSouthern Asia | 1.40 | 14,155,644 | 100 |
| 20 | NORNorthern Europe | 1.37 | 1,329,655 | 100 |
| 21 | NPLSouthern Asia | 1.31 | 5,423,458 | 100 |
| 22 | SURSouth America | 1.29 | 113,798 | 100 |
| 23 | NRUMicronesia | 1.27 | 510 | 100 |
| 24 | IRLNorthern Europe | 1.21 | 5,833,055 | 100 |
| =25 | SYCEastern Africa | 1.17 | 7,020 | 100 |
| =25 | TONPolynesia | 1.17 | 38,650 | 100 |
| 27 | AUTWestern Europe | 1.16 | 3,522,568 | 100 |
| 28 | VNMSouth-eastern Asia | 1.14 | 7,677,805 | 100 |
| =29 | LAOSouth-eastern Asia | 1.00 | 1,646,080 | 100 |
| =29 | GBRNorthern Europe | 1.00 | 18,192,000 | 100 |
| 31 | QATWestern Asia | 0.99 | 60,223 | 100 |
| =32 | CYPWestern Asia | 0.98 | 159,768 | 100 |
| =32 | NZLAustralia and New Zealand | 0.98 | 13,981,319 | 100 |
| =32 | AREWestern Asia | 0.98 | 234,411 | 100 |
| 35 | PRKEastern Asia | 0.96 | 2,396,100 | 100 |
| 36 | TUVPolynesia | 0.91 | 1,810 | 100 |
| 37 | VCTCaribbean | 0.90 | 10,530 | 100 |
| =38 | HTICaribbean | 0.89 | 1,429,200 | 100 |
| =38 | MMRSouth-eastern Asia | 0.89 | 9,322,297 | 100 |
| 40 | INDSouthern Asia | 0.88 | 159,150,554 | 100 |
| =41 | FRAWestern Europe | 0.84 | 26,456,074 | 100 |
| =41 | ISRWestern Asia | 0.84 | 485,830 | 100 |
| 43 | WSMPolynesia | 0.81 | 62,202 | 100 |
| =44 | SLVCentral America | 0.79 | 983,943 | 100 |
| =44 | JAMCaribbean | 0.79 | 378,190 | 100 |
| 46 | LCACaribbean | 0.78 | 16,430 | 100 |
| =47 | DOMCaribbean | 0.77 | 2,022,263 | 100 |
| =47 | ITASouthern Europe | 0.77 | 13,078,015 | 100 |
| 49 | ALBSouthern Europe | 0.76 | 849,715 | 100 |
| =50 | FINNorthern Europe | 0.73 | 1,761,800 | 100 |
| =50 | ROUEastern Europe | 0.73 | 11,074,971 | 100 |
| 52 | CRICentral America | 0.70 | 1,789,660 | 100 |
| 53 | PAKSouthern Asia | 0.68 | 24,860,905 | 100 |
| =54 | POLEastern Europe | 0.67 | 12,698,286 | 100 |
| =54 | LKASouthern Asia | 0.67 | 1,566,977 | 100 |
| =56 | FJIMelanesia | 0.66 | 242,150 | 100 |
| =56 | URYSouth America | 0.66 | 9,774,696 | 100 |
| =58 | HNDCentral America | 0.65 | 2,126,107 | 100 |
| =58 | SWENorthern Europe | 0.65 | 2,234,052 | 100 |
| 60 | GRDCaribbean | 0.64 | 8,293 | 100 |
| =61 | HUNEastern Europe | 0.63 | 4,126,641 | 100 |
| =61 | PRTSouthern Europe | 0.63 | 2,522,200 | 100 |
| 63 | CUBCaribbean | 0.62 | 4,197,625 | 100 |
| =64 | DMACaribbean | 0.61 | 11,520 | 100 |
| =64 | VUTMelanesia | 0.61 | 87,550 | 100 |
| =66 | BGREastern Europe | 0.60 | 3,687,905 | 100 |
| =66 | CPVWestern Africa | 0.60 | 38,696 | 100 |
| 68 | PANCentral America | 0.58 | 1,189,350 | 100 |
| =69 | KHMSouth-eastern Asia | 0.56 | 2,058,590 | 100 |
| =69 | LBNWestern Asia | 0.56 | 340,686 | 100 |
| 71 | PHLSouth-eastern Asia | 0.55 | 6,012,872 | 100 |
| =72 | BTNSouthern Asia | 0.54 | 252,896 | 100 |
| =72 | ECUSouth America | 0.54 | 4,207,365 | 100 |
| =74 | GNBWestern Africa | 0.52 | 283,800 | 100 |
| =74 | KNACaribbean | 0.52 | 6,271 | 100 |
| 76 | VENSouth America | 0.50 | 10,995,295 | 100 |
| =77 | BLZCentral America | 0.49 | 54,660 | 100 |
| =77 | BRASouth America | 0.49 | 116,959,632 | 100 |
| =79 | GTMCentral America | 0.48 | 1,810,595 | 100 |
| =79 | MUSEastern Africa | 0.48 | 54,997 | 100 |
| =79 | TLSSouth-eastern Asia | 0.48 | 144,924 | 100 |
| =82 | COLSouth America | 0.44 | 20,117,940 | 100 |
| =82 | NICCentral America | 0.44 | 1,721,410 | 100 |
| =82 | PRYSouth America | 0.44 | 6,056,270 | 100 |
| =82 | THASouth-eastern Asia | 0.44 | 9,355,733 | 100 |
| 86 | TURWestern Asia | 0.42 | 16,540,590 | 100 |
| 87 | BENWestern Africa | 0.41 | 898,141 | 100 |
| 88 | CHNEastern Asia | 0.40 | 193,204,990 | 100 |
| 89 | IDNSouth-eastern Asia | 0.38 | 16,341,066 | 100 |
| 90 | GMBWestern Africa | 0.37 | 218,180 | 100 |
| =91 | MEXCentral America | 0.36 | 36,922,909 | 100 |
| =91 | ESPSouthern Europe | 0.36 | 11,062,750 | 100 |
| =93 | COMEastern Africa | 0.35 | 39,490 | 100 |
| =93 | IRQWestern Asia | 0.35 | 3,287,250 | 100 |
| =95 | ARGSouth America | 0.34 | 42,691,000 | 100 |
| =95 | BFAWestern Africa | 0.34 | 3,293,620 | 100 |
| =95 | CMRMiddle Africa | 0.34 | 3,098,957 | 100 |
| 98 | PNGMelanesia | 0.33 | 282,980 | 100 |
| =99 | JORWestern Asia | 0.32 | 371,379 | 100 |
| =99 | KENEastern Africa | 0.32 | 8,360,111 | 100 |
| =101 | LSOSouthern Africa | 0.31 | 729,105 | 100 |
| =101 | SLBMelanesia | 0.31 | 20,018 | 100 |
| =101 | USANorthern America | 0.31 | 132,791,550 | 100 |
| 104 | GRCSouthern Europe | 0.30 | 2,711,695 | 100 |
| =105 | MYSSouth-eastern Asia | 0.29 | 1,745,565 | 100 |
| =105 | PERSouth America | 0.29 | 6,349,145 | 100 |
| 107 | SWZSouthern Africa | 0.28 | 371,752 | 100 |
| =108 | CAFMiddle Africa | 0.27 | 1,339,309 | 100 |
| =108 | ZWEEastern Africa | 0.27 | 3,399,700 | 100 |
| 110 | OMNWestern Asia | 0.26 | 274,000 | 100 |
| 111 | RWAEastern Africa | 0.25 | 461,660 | 100 |
| =112 | CANNorthern America | 0.24 | 14,684,225 | 100 |
| =112 | CHLSouth America | 0.24 | 3,893,200 | 100 |
| =112 | SENWestern Africa | 0.24 | 2,161,200 | 100 |
| =112 | SOMEastern Africa | 0.24 | 10,351,331 | 100 |
| =112 | TZAEastern Africa | 0.24 | 7,788,588 | 100 |
| =117 | IRNSouthern Asia | 0.23 | 13,977,200 | 100 |
| =117 | UGAEastern Africa | 0.23 | 2,667,860 | 100 |
| 119 | GUYSouth America | 0.22 | 154,950 | 100 |
| =120 | MARNorthern Africa | 0.20 | 5,911,184 | 100 |
| =120 | NGAWestern Africa | 0.20 | 11,795,401 | 100 |
| =120 | TUNNorthern Africa | 0.20 | 1,834,560 | 100 |
| 123 | MWIEastern Africa | 0.19 | 791,472 | 100 |
| 124 | BDIEastern Africa | 0.18 | 372,467 | 100 |
| =125 | BOLSouth America | 0.16 | 5,690,958 | 100 |
| =125 | DJIEastern Africa | 0.16 | 202,510 | 100 |
| =125 | MDGEastern Africa | 0.16 | 5,731,985 | 100 |
| 128 | SYRWestern Asia | 0.15 | 2,116,785 | 100 |
| =129 | ZAFSouthern Africa | 0.14 | 13,035,201 | 100 |
| =129 | TGOWestern Africa | 0.14 | 443,532 | 100 |
| 131 | STPMiddle Africa | 0.13 | 3,939 | 100 |
| =132 | LBRWestern Africa | 0.12 | 135,800 | 100 |
| =132 | MLIWestern Africa | 0.12 | 3,872,274 | 100 |
| =132 | NERWestern Africa | 0.12 | 3,713,446 | 100 |
| 135 | KIRMicronesia | 0.11 | 4,240 | 100 |
| =136 | AFGSouthern Asia | 0.10 | 3,657,400 | 100 |
| =136 | DZANorthern Africa | 0.10 | 3,931,227 | 100 |
| =136 | TCDMiddle Africa | 0.10 | 4,758,371 | 100 |
| =136 | SLEWestern Africa | 0.10 | 273,800 | 100 |
| =140 | GNQMiddle Africa | 0.09 | 9,430 | 100 |
| =140 | GHAWestern Africa | 0.09 | 1,140,904 | 100 |
| =140 | ISLNorthern Europe | 0.09 | 176,020 | 100 |
| =140 | YEMWestern Asia | 0.09 | 2,004,177 | 100 |
| 144 | AUSAustralia and New Zealand | 0.08 | 36,148,467 | 100 |
| 145 | ZMBEastern Africa | 0.07 | 1,527,574 | 100 |
| =146 | CODMiddle Africa | 0.06 | 1,459,562 | 100 |
| =146 | LBYNorthern Africa | 0.06 | 927,150 | 100 |
| =148 | AGOMiddle Africa | 0.05 | 2,035,330 | 100 |
| =148 | BWASouthern Africa | 0.05 | 1,375,490 | 100 |
| =148 | CIVWestern Africa | 0.05 | 935,710 | 100 |
| =148 | GINWestern Africa | 0.05 | 713,918 | 100 |
| =148 | MRTWestern Africa | 0.05 | 2,021,900 | 100 |
| =153 | GABMiddle Africa | 0.04 | 81,884 | 100 |
| =153 | MNGEastern Asia | 0.04 | 5,146,706 | 100 |
| =153 | NAMSouthern Africa | 0.04 | 1,424,220 | 100 |
| 156 | MOZEastern Africa | 0.03 | 974,000 | 100 |
| 157 | SAUWestern Asia | 0.02 | 2,170,937 | 100 |
| 158 | COGMiddle Africa | 0.01 | 98,051 | 100 |
02In 1987
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore49.08
- 2
Hong Kong17.86
- 3
Netherlands4.52
- 4
Malta3.15
- 5
Brunei2.93
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 0.48. “Shared” marks a value another country also holds.
Each measure’s ends
031986 → 1987
Since 1986
What changed between 1986 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 110values changed, of 158 in both
- 72 · 38rose · fell
- 48unchanged
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 1987.
99 distinct values among 158
Values are stored exactly as published, to 2 decimals. 5 countries share 0.24. 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 · 6.3 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download livestock-density-1987-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) (1987). Livestock Density, 1987 [data set], describing 1987. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/1987
0663 held
Other years
‹ The year before
Livestock Density, 1986158 countries
The year after ›
Livestock Density, 1988158 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, 1987: questions and answers
Which country has the highest livestock density in Livestock Density, 1987?
Singapore, at 49.08, of the 158 countries in the file.
What year does Livestock Density, 1987 describe?
1987.
How many countries does Livestock Density, 1987 cover?
158.
Where can I download Livestock Density, 1987?
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, 1987 the newest?
No. The newest held here is Livestock Density, 2023.