Data for 1980
Livestock Density, 1980
1980, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 1980 covers 158 countries on 3 measures. Singapore is highest, at 37.38; Republic of the Congo is lowest, at 0.01. The middle country reads 0.43. Against 1979, 122 values changed (89 up, 33 down), the same countries are covered.
Livestock Density · Data for 1980
HighestSingapore
37.38LowestRepublic 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, 1980, 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 | 37.38 | 299,075 | 100 |
| 2 | HKGEastern Asia | 23.36 | 210,243 | 100 |
| 3 | NLDWestern Europe | 4.02 | 8,181,243 | 100 |
| 4 | BRBCaribbean | 2.43 | 46,150 | 100 |
| 5 | TWNEastern Asia | 2.05 | 1,858,726 | 100 |
| =6 | DNKNorthern Europe | 1.84 | 5,343,250 | 100 |
| =6 | EGYNorthern Africa | 1.84 | 4,487,176 | 100 |
| 8 | MLTSouthern Europe | 1.74 | 22,598 | 100 |
| 9 | BRNSouth-eastern Asia | 1.59 | 23,775 | 100 |
| 10 | DEUWestern Europe | 1.58 | 29,179,618 | 100 |
| 11 | ATGCaribbean | 1.54 | 13,834 | 100 |
| 12 | CHEWestern Europe | 1.52 | 2,513,745 | 100 |
| 13 | JPNEastern Asia | 1.49 | 9,192,150 | 100 |
| 14 | BHSCaribbean | 1.44 | 15,818 | 100 |
| 15 | TTOCaribbean | 1.41 | 142,730 | 100 |
| 16 | NORNorthern Europe | 1.40 | 1,307,125 | 100 |
| 17 | NPLSouthern Asia | 1.31 | 5,370,000 | 100 |
| 18 | IRLNorthern Europe | 1.26 | 6,214,963 | 100 |
| 19 | BGDSouthern Asia | 1.25 | 12,516,050 | 100 |
| 20 | SURSouth America | 1.21 | 83,365 | 100 |
| 21 | KWTWestern Asia | 1.17 | 157,392 | 100 |
| 22 | AUTWestern Europe | 1.11 | 3,489,901 | 100 |
| 23 | SYCEastern Africa | 1.08 | 5,409 | 100 |
| 24 | TONPolynesia | 1.06 | 35,910 | 100 |
| 25 | BHRWestern Asia | 1.01 | 10,053 | 100 |
| 26 | NZLAustralia and New Zealand | 0.99 | 14,418,752 | 100 |
| 27 | NRUMicronesia | 0.98 | 390 | 100 |
| 28 | ISRWestern Asia | 0.97 | 516,730 | 100 |
| 29 | GBRNorthern Europe | 0.94 | 17,395,101 | 100 |
| 30 | HTICaribbean | 0.92 | 1,478,300 | 100 |
| 31 | FRAWestern Europe | 0.87 | 27,712,894 | 100 |
| 32 | KOREastern Asia | 0.86 | 1,932,451 | 100 |
| 33 | VNMSouth-eastern Asia | 0.84 | 5,745,610 | 100 |
| =34 | SLVCentral America | 0.81 | 1,063,300 | 100 |
| =34 | FINNorthern Europe | 0.81 | 2,066,185 | 100 |
| =36 | INDSouthern Asia | 0.80 | 144,291,600 | 100 |
| =36 | PRKEastern Asia | 0.80 | 1,949,050 | 100 |
| =36 | POLEastern Europe | 0.80 | 15,291,066 | 100 |
| 39 | VCTCaribbean | 0.78 | 9,340 | 100 |
| 40 | LAOSouth-eastern Asia | 0.77 | 1,243,802 | 100 |
| 41 | MMRSouth-eastern Asia | 0.75 | 7,810,200 | 100 |
| =42 | CYPWestern Asia | 0.74 | 126,210 | 100 |
| =42 | PRTSouthern Europe | 0.74 | 2,952,050 | 100 |
| 44 | ITASouthern Europe | 0.73 | 12,817,303 | 100 |
| 45 | CUBCaribbean | 0.72 | 4,251,505 | 100 |
| 46 | SWENorthern Europe | 0.71 | 2,628,202 | 100 |
| 47 | TUVPolynesia | 0.70 | 1,398 | 100 |
| =48 | CRICentral America | 0.68 | 1,700,735 | 100 |
| =48 | URYSouth America | 0.68 | 10,278,622 | 100 |
| 50 | DOMCaribbean | 0.67 | 1,756,509 | 100 |
| 51 | LCACaribbean | 0.66 | 13,624 | 100 |
| =52 | ALBSouthern Europe | 0.65 | 731,255 | 100 |
| =52 | FJIMelanesia | 0.65 | 187,700 | 100 |
| =52 | JAMCaribbean | 0.65 | 325,435 | 100 |
| =55 | GRDCaribbean | 0.64 | 10,250 | 100 |
| =55 | HUNEastern Europe | 0.64 | 4,234,500 | 100 |
| 57 | ROUEastern Europe | 0.63 | 9,376,605 | 100 |
| =58 | BGREastern Europe | 0.62 | 3,819,458 | 100 |
| =58 | PANCentral America | 0.62 | 1,150,675 | 100 |
| 60 | GTMCentral America | 0.60 | 1,825,530 | 100 |
| =61 | ECUSouth America | 0.59 | 3,818,749 | 100 |
| =61 | LKASouthern Asia | 0.59 | 1,374,405 | 100 |
| =63 | PHLSouth-eastern Asia | 0.58 | 6,205,566 | 100 |
| =63 | AREWestern Asia | 0.58 | 128,953 | 100 |
| =63 | VUTMelanesia | 0.58 | 74,481 | 100 |
| =66 | LBNWestern Asia | 0.57 | 342,392 | 100 |
| =66 | QATWestern Asia | 0.57 | 31,298 | 100 |
| 68 | WSMPolynesia | 0.54 | 39,720 | 100 |
| 69 | PAKSouthern Asia | 0.53 | 19,969,102 | 100 |
| =70 | HNDCentral America | 0.52 | 1,681,859 | 100 |
| =70 | NICCentral America | 0.52 | 1,955,010 | 100 |
| 72 | TURWestern Asia | 0.51 | 19,830,991 | 100 |
| 73 | BLZCentral America | 0.50 | 48,283 | 100 |
| 74 | COMEastern Africa | 0.49 | 48,500 | 100 |
| =75 | BTNSouthern Asia | 0.46 | 189,415 | 100 |
| =75 | GNBWestern Africa | 0.46 | 237,875 | 100 |
| 77 | BRASouth America | 0.45 | 103,823,410 | 100 |
| =78 | COLSouth America | 0.43 | 19,656,991 | 100 |
| =78 | DMACaribbean | 0.43 | 8,160 | 100 |
| =78 | KNACaribbean | 0.43 | 6,521 | 100 |
| =78 | VENSouth America | 0.43 | 9,135,436 | 100 |
| =82 | CPVWestern Africa | 0.41 | 26,355 | 100 |
| =82 | SLBMelanesia | 0.41 | 24,292 | 100 |
| =82 | THASouth-eastern Asia | 0.41 | 7,859,064 | 100 |
| =82 | TLSSouth-eastern Asia | 0.41 | 114,435 | 100 |
| 86 | BENWestern Africa | 0.40 | 809,316 | 100 |
| =87 | CHNEastern Asia | 0.39 | 167,799,283 | 100 |
| =87 | MUSEastern Africa | 0.39 | 44,605 | 100 |
| 89 | PRYSouth America | 0.37 | 4,740,255 | 100 |
| 90 | ARGSouth America | 0.36 | 46,096,347 | 100 |
| 91 | GMBWestern Africa | 0.35 | 194,905 | 100 |
| =92 | IRQWestern Asia | 0.34 | 3,185,700 | 100 |
| =92 | MEXCentral America | 0.34 | 33,625,880 | 100 |
| =92 | PNGMelanesia | 0.34 | 268,503 | 100 |
| =92 | USANorthern America | 0.34 | 144,682,850 | 100 |
| =96 | GRCSouthern Europe | 0.32 | 2,893,995 | 100 |
| =96 | MYSSouth-eastern Asia | 0.32 | 1,567,768 | 100 |
| =96 | ESPSouthern Europe | 0.32 | 10,003,100 | 100 |
| 99 | KHMSouth-eastern Asia | 0.31 | 826,620 | 100 |
| =100 | GUYSouth America | 0.30 | 254,741 | 100 |
| =100 | PERSouth America | 0.30 | 6,217,615 | 100 |
| =102 | CMRMiddle Africa | 0.29 | 2,628,439 | 100 |
| =102 | SWZSouthern Africa | 0.29 | 376,154 | 100 |
| =104 | JORWestern Asia | 0.28 | 310,705 | 100 |
| =104 | UGAEastern Africa | 0.28 | 2,945,620 | 100 |
| =106 | IDNSouth-eastern Asia | 0.27 | 9,769,050 | 100 |
| =106 | KENEastern Africa | 0.27 | 6,905,400 | 100 |
| =106 | RWAEastern Africa | 0.27 | 469,742 | 100 |
| =109 | CANNorthern America | 0.26 | 15,957,225 | 100 |
| =109 | LSOSouthern Africa | 0.26 | 586,035 | 100 |
| =111 | BFAWestern Africa | 0.25 | 2,271,910 | 100 |
| =111 | TZAEastern Africa | 0.25 | 7,483,330 | 100 |
| =111 | ZWEEastern Africa | 0.25 | 2,923,150 | 100 |
| 114 | CHLSouth America | 0.24 | 4,043,901 | 100 |
| =115 | BDIEastern Africa | 0.21 | 438,900 | 100 |
| =115 | OMNWestern Asia | 0.21 | 219,921 | 100 |
| =117 | CAFMiddle Africa | 0.20 | 1,010,590 | 100 |
| =117 | IRNSouthern Asia | 0.20 | 11,264,100 | 100 |
| =117 | MARNorthern Africa | 0.20 | 5,822,241 | 100 |
| =117 | SOMEastern Africa | 0.20 | 9,019,950 | 100 |
| 121 | SENWestern Africa | 0.19 | 1,706,830 | 100 |
| =122 | BOLSouth America | 0.17 | 5,580,250 | 100 |
| =122 | NERWestern Africa | 0.17 | 5,283,953 | 100 |
| =122 | TUNNorthern Africa | 0.17 | 1,543,020 | 100 |
| =125 | MDGEastern Africa | 0.16 | 5,670,012 | 100 |
| =125 | MWIEastern Africa | 0.16 | 594,331 | 100 |
| =125 | NGAWestern Africa | 0.16 | 9,322,340 | 100 |
| =128 | AFGSouthern Asia | 0.15 | 5,842,250 | 100 |
| =128 | MLIWestern Africa | 0.15 | 4,728,300 | 100 |
| =128 | ZAFSouthern Africa | 0.15 | 14,069,251 | 100 |
| 131 | SYRWestern Asia | 0.13 | 1,882,383 | 100 |
| 132 | DJIEastern Africa | 0.12 | 159,510 | 100 |
| =133 | KIRMicronesia | 0.10 | 3,660 | 100 |
| =133 | SLEWestern Africa | 0.10 | 262,000 | 100 |
| =135 | ISLNorthern Europe | 0.09 | 170,481 | 100 |
| =135 | LBRWestern Africa | 0.09 | 104,100 | 100 |
| =135 | STPMiddle Africa | 0.09 | 3,212 | 100 |
| =135 | TGOWestern Africa | 0.09 | 278,156 | 100 |
| =139 | DZANorthern Africa | 0.08 | 3,372,375 | 100 |
| =139 | AUSAustralia and New Zealand | 0.08 | 38,607,500 | 100 |
| =139 | GHAWestern Africa | 0.08 | 989,800 | 100 |
| =139 | YEMWestern Asia | 0.08 | 1,768,550 | 100 |
| =143 | TCDMiddle Africa | 0.07 | 3,271,500 | 100 |
| =143 | GNQMiddle Africa | 0.07 | 8,300 | 100 |
| =143 | GINWestern Africa | 0.07 | 904,240 | 100 |
| =143 | LBYNorthern Africa | 0.07 | 1,006,200 | 100 |
| =143 | ZMBEastern Africa | 0.07 | 1,369,495 | 100 |
| 148 | BWASouthern Africa | 0.06 | 1,595,330 | 100 |
| =149 | CODMiddle Africa | 0.05 | 1,188,710 | 100 |
| =149 | MRTWestern Africa | 0.05 | 1,971,240 | 100 |
| =149 | NAMSouthern Africa | 0.05 | 1,940,453 | 100 |
| =152 | AGOMiddle Africa | 0.04 | 1,875,575 | 100 |
| =152 | CIVWestern Africa | 0.04 | 758,000 | 100 |
| =152 | MNGEastern Asia | 0.04 | 5,364,525 | 100 |
| =155 | GABMiddle Africa | 0.03 | 61,650 | 100 |
| =155 | MOZEastern Africa | 0.03 | 1,004,100 | 100 |
| 157 | SAUWestern Asia | 0.02 | 1,360,685 | 100 |
| 158 | COGMiddle Africa | 0.01 | 68,819 | 100 |
02In 1980
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore37.38
- 2
Hong Kong23.36
- 3
Netherlands4.02
- 4
Barbados2.43
- 5
Taiwan2.05
Lowest
- 158
Republic of the Congo0.01
- 157
Saudi Arabia0.02
- 155
Mozambiqueshared0.03
- 155
Gabonshared0.03
- 152
Mongoliashared0.04
Neither end is better. The values describe a shape, not a score. The middle country reads 0.43. “Shared” marks a value another country also holds.
Each measure’s ends
031979 → 1980
Since 1979
What changed between 1979 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 122values changed, of 158 in both
- 89 · 33rose · fell
- 36unchanged
Rose most
Taiwan1.74 → 2.05+0.31
Netherlands3.76 → 4.02+0.26
Lebanon0.38 → 0.57+0.19
Brunei1.41 → 1.59+0.18
Antigua and Barbuda1.37 → 1.54+0.17
Fell most
Singapore41.95 → 37.38−4.57
Hong Kong24.88 → 23.36−1.52
Bangladesh1.83 → 1.25−0.58
Malta1.97 → 1.74−0.23
South Korea1.02 → 0.86−0.16
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 1980.
96 distinct values among 158
Values are stored exactly as published, to 2 decimals. 5 countries share 0.07. 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-1980-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) (1980). Livestock Density, 1980 [data set], describing 1980. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/1980
0663 held
Other years
‹ The year before
Livestock Density, 1979158 countries
The year after ›
Livestock Density, 1981158 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, 1980: questions and answers
Which country has the highest livestock density in Livestock Density, 1980?
Singapore, at 37.38, of the 158 countries in the file.
What year does Livestock Density, 1980 describe?
1980.
How many countries does Livestock Density, 1980 cover?
158.
Where can I download Livestock Density, 1980?
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, 1980 the newest?
No. The newest held here is Livestock Density, 2023.