Data for 1983
Livestock Density, 1983
1983, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 1983 covers 158 countries on 3 measures. Singapore is highest, at 41.49; Republic of the Congo is lowest, at 0.01. The middle country reads 0.46. Against 1982, 105 values changed (68 up, 37 down), the same countries are covered.
Livestock Density · Data for 1983
HighestSingapore
41.49LowestRepublic 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, 1983, 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 | 41.49 | 248,913 | 100 |
| 2 | HKGEastern Asia | 22.23 | 200,042 | 100 |
| 3 | NLDWestern Europe | 4.22 | 8,475,983 | 100 |
| 4 | BRBCaribbean | 2.44 | 46,350 | 100 |
| 5 | MLTSouthern Europe | 2.38 | 30,990 | 100 |
| 6 | BRNSouth-eastern Asia | 2.33 | 32,680 | 100 |
| 7 | TWNEastern Asia | 2.11 | 1,884,733 | 100 |
| 8 | TTOCaribbean | 2.06 | 152,810 | 100 |
| 9 | EGYNorthern Africa | 1.93 | 4,693,030 | 100 |
| 10 | DNKNorthern Europe | 1.78 | 5,054,437 | 100 |
| 11 | BHSCaribbean | 1.62 | 17,822 | 100 |
| 12 | JPNEastern Asia | 1.61 | 9,795,725 | 100 |
| 13 | DEUWestern Europe | 1.60 | 29,302,037 | 100 |
| 14 | ATGCaribbean | 1.59 | 14,291 | 100 |
| 15 | CHEWestern Europe | 1.48 | 2,423,059 | 100 |
| 16 | NORNorthern Europe | 1.43 | 1,350,255 | 100 |
| 17 | KWTWestern Asia | 1.33 | 181,313 | 100 |
| 18 | BGDSouthern Asia | 1.32 | 13,153,560 | 100 |
| 19 | NPLSouthern Asia | 1.31 | 5,373,500 | 100 |
| 20 | KOREastern Asia | 1.28 | 2,861,895 | 100 |
| 21 | SURSouth America | 1.23 | 92,127 | 100 |
| 22 | IRLNorthern Europe | 1.21 | 5,876,640 | 100 |
| 23 | NRUMicronesia | 1.18 | 470 | 100 |
| 24 | AUTWestern Europe | 1.15 | 3,490,260 | 100 |
| 25 | BHRWestern Asia | 1.06 | 10,558 | 100 |
| 26 | NZLAustralia and New Zealand | 0.97 | 14,145,820 | 100 |
| =27 | SYCEastern Africa | 0.96 | 5,780 | 100 |
| =27 | GBRNorthern Europe | 0.96 | 17,527,190 | 100 |
| =27 | VNMSouth-eastern Asia | 0.96 | 6,647,870 | 100 |
| 30 | ISRWestern Asia | 0.94 | 517,500 | 100 |
| 31 | HTICaribbean | 0.93 | 1,482,050 | 100 |
| 32 | TONPolynesia | 0.90 | 29,665 | 100 |
| 33 | VCTCaribbean | 0.89 | 10,690 | 100 |
| 34 | FRAWestern Europe | 0.88 | 27,718,570 | 100 |
| =35 | INDSouthern Asia | 0.85 | 152,714,808 | 100 |
| =35 | LAOSouth-eastern Asia | 0.85 | 1,379,190 | 100 |
| =35 | PRKEastern Asia | 0.85 | 2,096,500 | 100 |
| 38 | MMRSouth-eastern Asia | 0.83 | 8,714,140 | 100 |
| 39 | FINNorthern Europe | 0.81 | 1,981,130 | 100 |
| 40 | CYPWestern Asia | 0.79 | 144,527 | 100 |
| =41 | JAMCaribbean | 0.75 | 355,760 | 100 |
| =41 | TUVPolynesia | 0.75 | 1,492 | 100 |
| =41 | AREWestern Asia | 0.75 | 174,210 | 100 |
| 44 | PRTSouthern Europe | 0.74 | 2,966,300 | 100 |
| =45 | DOMCaribbean | 0.73 | 1,932,170 | 100 |
| =45 | LCACaribbean | 0.73 | 15,416 | 100 |
| 47 | SWENorthern Europe | 0.71 | 2,591,752 | 100 |
| =48 | ALBSouthern Europe | 0.70 | 779,600 | 100 |
| =48 | SLVCentral America | 0.70 | 858,367 | 100 |
| 50 | CRICentral America | 0.69 | 1,847,520 | 100 |
| =51 | CUBCaribbean | 0.68 | 4,227,060 | 100 |
| =51 | FJIMelanesia | 0.68 | 218,200 | 100 |
| =51 | HUNEastern Europe | 0.68 | 4,436,595 | 100 |
| =51 | ITASouthern Europe | 0.68 | 11,756,450 | 100 |
| =55 | POLEastern Europe | 0.67 | 12,718,091 | 100 |
| =55 | ROUEastern Europe | 0.67 | 10,079,676 | 100 |
| 57 | HNDCentral America | 0.63 | 2,048,389 | 100 |
| =58 | BGREastern Europe | 0.62 | 3,854,965 | 100 |
| =58 | PANCentral America | 0.62 | 1,195,660 | 100 |
| =58 | LKASouthern Asia | 0.62 | 1,440,635 | 100 |
| =58 | URYSouth America | 0.62 | 9,265,722 | 100 |
| =62 | GRDCaribbean | 0.61 | 9,825 | 100 |
| =62 | GTMCentral America | 0.61 | 1,901,776 | 100 |
| =64 | PAKSouthern Asia | 0.59 | 21,657,301 | 100 |
| =64 | PHLSouth-eastern Asia | 0.59 | 6,397,693 | 100 |
| =64 | WSMPolynesia | 0.59 | 45,524 | 100 |
| =64 | VUTMelanesia | 0.59 | 78,990 | 100 |
| 68 | ECUSouth America | 0.56 | 4,006,662 | 100 |
| 69 | KHMSouth-eastern Asia | 0.54 | 1,462,600 | 100 |
| 70 | BLZCentral America | 0.53 | 51,070 | 100 |
| 71 | TURWestern Asia | 0.52 | 19,189,911 | 100 |
| 72 | LBNWestern Asia | 0.51 | 305,755 | 100 |
| 73 | BTNSouthern Asia | 0.50 | 213,970 | 100 |
| 74 | NICCentral America | 0.48 | 1,833,920 | 100 |
| =75 | GNBWestern Africa | 0.47 | 255,250 | 100 |
| =75 | KNACaribbean | 0.47 | 6,524 | 100 |
| =75 | THASouth-eastern Asia | 0.47 | 9,440,907 | 100 |
| =78 | BENWestern Africa | 0.46 | 956,548 | 100 |
| =78 | VENSouth America | 0.46 | 9,720,117 | 100 |
| =80 | BRASouth America | 0.45 | 107,220,526 | 100 |
| =80 | COMEastern Africa | 0.45 | 44,890 | 100 |
| =80 | QATWestern Asia | 0.45 | 25,983 | 100 |
| =83 | COLSouth America | 0.44 | 19,881,250 | 100 |
| =83 | DMACaribbean | 0.44 | 8,430 | 100 |
| =83 | TLSSouth-eastern Asia | 0.44 | 126,610 | 100 |
| 86 | CPVWestern Africa | 0.42 | 27,360 | 100 |
| =87 | PRYSouth America | 0.40 | 5,324,095 | 100 |
| =87 | SLBMelanesia | 0.40 | 24,809 | 100 |
| 89 | MUSEastern Africa | 0.39 | 44,665 | 100 |
| 90 | CHNEastern Asia | 0.37 | 169,180,258 | 100 |
| =91 | IRQWestern Asia | 0.36 | 3,354,900 | 100 |
| =91 | MEXCentral America | 0.36 | 35,973,816 | 100 |
| =93 | ARGSouth America | 0.35 | 44,699,500 | 100 |
| =93 | PNGMelanesia | 0.35 | 275,228 | 100 |
| =93 | ESPSouthern Europe | 0.35 | 10,913,200 | 100 |
| =96 | GMBWestern Africa | 0.34 | 201,700 | 100 |
| =96 | IDNSouth-eastern Asia | 0.34 | 12,626,120 | 100 |
| =96 | USANorthern America | 0.34 | 145,329,008 | 100 |
| 99 | KENEastern Africa | 0.33 | 8,378,350 | 100 |
| 100 | MYSSouth-eastern Asia | 0.32 | 1,652,324 | 100 |
| =101 | GRCSouthern Europe | 0.30 | 2,787,196 | 100 |
| =101 | JORWestern Asia | 0.30 | 340,107 | 100 |
| =103 | BFAWestern Africa | 0.29 | 2,627,700 | 100 |
| =103 | SWZSouthern Africa | 0.29 | 374,054 | 100 |
| =103 | PERSouth America | 0.29 | 6,048,840 | 100 |
| =106 | RWAEastern Africa | 0.27 | 491,406 | 100 |
| =106 | UGAEastern Africa | 0.27 | 3,085,709 | 100 |
| =108 | CMRMiddle Africa | 0.26 | 2,364,425 | 100 |
| =108 | CANNorthern America | 0.26 | 15,659,735 | 100 |
| =108 | CAFMiddle Africa | 0.26 | 1,266,910 | 100 |
| =108 | GUYSouth America | 0.26 | 185,700 | 100 |
| =108 | LSOSouthern Africa | 0.26 | 591,548 | 100 |
| =108 | TZAEastern Africa | 0.26 | 7,993,833 | 100 |
| =114 | CHLSouth America | 0.25 | 4,156,500 | 100 |
| =114 | ZWEEastern Africa | 0.25 | 3,082,500 | 100 |
| 116 | OMNWestern Asia | 0.23 | 245,290 | 100 |
| 117 | SOMEastern Africa | 0.21 | 9,366,380 | 100 |
| 118 | IRNSouthern Asia | 0.20 | 12,041,500 | 100 |
| =119 | NERWestern Africa | 0.19 | 5,968,927 | 100 |
| =119 | SENWestern Africa | 0.19 | 1,695,310 | 100 |
| =121 | BOLSouth America | 0.18 | 6,003,985 | 100 |
| =121 | BDIEastern Africa | 0.18 | 366,570 | 100 |
| =121 | NGAWestern Africa | 0.18 | 10,160,460 | 100 |
| =124 | MWIEastern Africa | 0.17 | 667,369 | 100 |
| =124 | TUNNorthern Africa | 0.17 | 1,588,082 | 100 |
| =126 | MDGEastern Africa | 0.16 | 5,693,944 | 100 |
| =126 | SYRWestern Asia | 0.16 | 2,292,268 | 100 |
| =128 | MARNorthern Africa | 0.15 | 4,501,292 | 100 |
| =128 | ZAFSouthern Africa | 0.15 | 13,954,800 | 100 |
| =130 | AFGSouthern Asia | 0.14 | 5,513,250 | 100 |
| =130 | MLIWestern Africa | 0.14 | 4,507,610 | 100 |
| 132 | DJIEastern Africa | 0.13 | 168,690 | 100 |
| 133 | STPMiddle Africa | 0.11 | 3,682 | 100 |
| =134 | DZANorthern Africa | 0.10 | 3,920,890 | 100 |
| =134 | KIRMicronesia | 0.10 | 3,900 | 100 |
| =134 | LBRWestern Africa | 0.10 | 120,500 | 100 |
| =134 | SLEWestern Africa | 0.10 | 273,240 | 100 |
| =134 | TGOWestern Africa | 0.10 | 300,830 | 100 |
| =139 | GHAWestern Africa | 0.09 | 1,031,300 | 100 |
| =139 | ISLNorthern Europe | 0.09 | 174,322 | 100 |
| =141 | TCDMiddle Africa | 0.08 | 3,850,340 | 100 |
| =141 | GNQMiddle Africa | 0.08 | 8,840 | 100 |
| =141 | YEMWestern Asia | 0.08 | 1,852,487 | 100 |
| =144 | AUSAustralia and New Zealand | 0.07 | 34,975,654 | 100 |
| =144 | GINWestern Africa | 0.07 | 909,520 | 100 |
| =144 | LBYNorthern Africa | 0.07 | 1,071,646 | 100 |
| =144 | ZMBEastern Africa | 0.07 | 1,390,303 | 100 |
| 148 | BWASouthern Africa | 0.06 | 1,570,410 | 100 |
| =149 | CIVWestern Africa | 0.05 | 816,000 | 100 |
| =149 | CODMiddle Africa | 0.05 | 1,248,040 | 100 |
| =149 | MRTWestern Africa | 0.05 | 1,922,400 | 100 |
| =152 | AGOMiddle Africa | 0.04 | 1,977,885 | 100 |
| =152 | MNGEastern Asia | 0.04 | 5,330,370 | 100 |
| =154 | GABMiddle Africa | 0.03 | 60,092 | 100 |
| =154 | MOZEastern Africa | 0.03 | 984,200 | 100 |
| =154 | NAMSouthern Africa | 0.03 | 1,350,898 | 100 |
| 157 | SAUWestern Asia | 0.02 | 1,941,251 | 100 |
| 158 | COGMiddle Africa | 0.01 | 87,280 | 100 |
02In 1983
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore41.49
- 2
Hong Kong22.23
- 3
Netherlands4.22
- 4
Barbados2.44
- 5
Malta2.38
Lowest
- 158
Republic of the Congo0.01
- 157
Saudi Arabia0.02
- 154
Namibiashared0.03
- 154
Mozambiqueshared0.03
- 154
Gabonshared0.03
Neither end is better. The values describe a shape, not a score. The middle country reads 0.46. “Shared” marks a value another country also holds.
Each measure’s ends
031982 → 1983
Since 1982
What changed between 1982 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 105values changed, of 158 in both
- 68 · 37rose · fell
- 53unchanged
Rose most
Hong Kong20.71 → 22.23+1.52
Malta2.05 → 2.38+0.33
South Korea0.97 → 1.28+0.31
Trinidad and Tobago1.78 → 2.06+0.28
Kuwait1.14 → 1.33+0.19
Fell most
Tonga1.11 → 0.90−0.21
Cabo Verde0.52 → 0.42−0.10
Poland0.75 → 0.67−0.08
Lebanon0.58 → 0.51−0.07
Uruguay0.69 → 0.62−0.07
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 1983.
94 distinct values among 158
Values are stored exactly as published, to 2 decimals. 6 countries share 0.26. 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-1983-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) (1983). Livestock Density, 1983 [data set], describing 1983. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/1983
0663 held
Other years
‹ The year before
Livestock Density, 1982158 countries
The year after ›
Livestock Density, 1984158 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, 1983: questions and answers
Which country has the highest livestock density in Livestock Density, 1983?
Singapore, at 41.49, of the 158 countries in the file.
What year does Livestock Density, 1983 describe?
1983.
How many countries does Livestock Density, 1983 cover?
158.
Where can I download Livestock Density, 1983?
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, 1983 the newest?
No. The newest held here is Livestock Density, 2023.