Data for 1984
Livestock Density, 1984
1984, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 1984 covers 158 countries on 3 measures. Singapore is highest, at 40.95; Republic of the Congo is lowest, at 0.01. The middle country reads 0.46. Against 1983, 110 values changed (67 up, 43 down), the same countries are covered.
Livestock Density · Data for 1984
HighestSingapore
40.95LowestRepublic 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, 1984, 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 | 40.95 | 245,728 | 100 |
| 2 | HKGEastern Asia | 21.00 | 188,973 | 100 |
| 3 | NLDWestern Europe | 4.32 | 8,706,480 | 100 |
| 4 | MLTSouthern Europe | 2.80 | 36,451 | 100 |
| 5 | TWNEastern Asia | 2.44 | 2,179,954 | 100 |
| 6 | BRBCaribbean | 2.43 | 46,250 | 100 |
| 7 | BRNSouth-eastern Asia | 2.38 | 30,960 | 100 |
| 8 | TTOCaribbean | 2.03 | 150,510 | 100 |
| 9 | EGYNorthern Africa | 1.96 | 4,830,040 | 100 |
| =10 | BHSCaribbean | 1.69 | 18,575 | 100 |
| =10 | DNKNorthern Europe | 1.69 | 4,825,460 | 100 |
| 12 | JPNEastern Asia | 1.66 | 10,038,925 | 100 |
| 13 | DEUWestern Europe | 1.65 | 30,246,863 | 100 |
| 14 | ATGCaribbean | 1.60 | 14,401 | 100 |
| 15 | KWTWestern Asia | 1.48 | 202,789 | 100 |
| 16 | CHEWestern Europe | 1.46 | 2,385,385 | 100 |
| 17 | NORNorthern Europe | 1.42 | 1,357,550 | 100 |
| 18 | KOREastern Asia | 1.33 | 2,969,069 | 100 |
| 19 | BGDSouthern Asia | 1.32 | 13,282,623 | 100 |
| 20 | NPLSouthern Asia | 1.30 | 5,357,500 | 100 |
| 21 | SURSouth America | 1.24 | 95,127 | 100 |
| 22 | IRLNorthern Europe | 1.21 | 5,913,830 | 100 |
| 23 | AUTWestern Europe | 1.17 | 3,543,797 | 100 |
| 24 | BHRWestern Asia | 1.13 | 11,323 | 100 |
| 25 | NRUMicronesia | 1.07 | 430 | 100 |
| 26 | SYCEastern Africa | 1.05 | 6,290 | 100 |
| 27 | VNMSouth-eastern Asia | 1.02 | 7,040,305 | 100 |
| 28 | NZLAustralia and New Zealand | 0.98 | 14,239,853 | 100 |
| =29 | HTICaribbean | 0.95 | 1,512,750 | 100 |
| =29 | GBRNorthern Europe | 0.95 | 17,364,341 | 100 |
| 31 | ISRWestern Asia | 0.94 | 532,860 | 100 |
| 32 | VCTCaribbean | 0.93 | 11,217 | 100 |
| 33 | LAOSouth-eastern Asia | 0.89 | 1,453,589 | 100 |
| =34 | FRAWestern Europe | 0.88 | 27,798,757 | 100 |
| =34 | TUVPolynesia | 0.88 | 1,752 | 100 |
| =36 | CYPWestern Asia | 0.86 | 156,141 | 100 |
| =36 | PRKEastern Asia | 0.86 | 2,142,250 | 100 |
| =38 | INDSouthern Asia | 0.85 | 154,486,600 | 100 |
| =38 | MMRSouth-eastern Asia | 0.85 | 8,868,670 | 100 |
| 40 | AREWestern Asia | 0.83 | 193,060 | 100 |
| =41 | JAMCaribbean | 0.78 | 370,790 | 100 |
| =41 | TONPolynesia | 0.78 | 25,769 | 100 |
| =43 | FINNorthern Europe | 0.77 | 1,877,570 | 100 |
| =43 | ITASouthern Europe | 0.77 | 13,318,990 | 100 |
| 45 | LCACaribbean | 0.75 | 16,184 | 100 |
| =46 | DOMCaribbean | 0.74 | 1,946,891 | 100 |
| =46 | ROUEastern Europe | 0.74 | 11,066,751 | 100 |
| 48 | SWENorthern Europe | 0.71 | 2,572,164 | 100 |
| =49 | ALBSouthern Europe | 0.70 | 781,850 | 100 |
| =49 | HUNEastern Europe | 0.70 | 4,569,971 | 100 |
| =51 | CRICentral America | 0.69 | 1,893,260 | 100 |
| =51 | CUBCaribbean | 0.69 | 4,231,705 | 100 |
| =51 | SLVCentral America | 0.69 | 846,850 | 100 |
| =54 | FJIMelanesia | 0.68 | 225,300 | 100 |
| =54 | POLEastern Europe | 0.68 | 12,898,297 | 100 |
| 56 | HNDCentral America | 0.67 | 2,182,908 | 100 |
| 57 | PRTSouthern Europe | 0.66 | 2,620,400 | 100 |
| 58 | LKASouthern Asia | 0.64 | 1,484,905 | 100 |
| 59 | BGREastern Europe | 0.63 | 3,866,322 | 100 |
| 60 | KHMSouth-eastern Asia | 0.62 | 1,669,200 | 100 |
| =61 | PANCentral America | 0.61 | 1,194,375 | 100 |
| =61 | WSMPolynesia | 0.61 | 47,494 | 100 |
| 63 | GRDCaribbean | 0.60 | 9,521 | 100 |
| =64 | ECUSouth America | 0.59 | 4,311,543 | 100 |
| =64 | PAKSouthern Asia | 0.59 | 22,159,500 | 100 |
| =64 | URYSouth America | 0.59 | 8,837,460 | 100 |
| =64 | VUTMelanesia | 0.59 | 79,695 | 100 |
| 68 | PHLSouth-eastern Asia | 0.58 | 6,264,595 | 100 |
| 69 | LBNWestern Asia | 0.57 | 340,293 | 100 |
| 70 | BLZCentral America | 0.54 | 52,080 | 100 |
| =71 | NICCentral America | 0.53 | 2,044,186 | 100 |
| =71 | QATWestern Asia | 0.53 | 31,031 | 100 |
| 73 | BTNSouthern Asia | 0.51 | 225,923 | 100 |
| 74 | KNACaribbean | 0.50 | 6,487 | 100 |
| 75 | TURWestern Asia | 0.49 | 18,602,951 | 100 |
| =76 | BENWestern Africa | 0.48 | 1,000,005 | 100 |
| =76 | GTMCentral America | 0.48 | 1,834,360 | 100 |
| =78 | THASouth-eastern Asia | 0.47 | 9,396,031 | 100 |
| =78 | VENSouth America | 0.47 | 10,033,713 | 100 |
| =80 | BRASouth America | 0.46 | 110,208,772 | 100 |
| =80 | DMACaribbean | 0.46 | 8,740 | 100 |
| =80 | GNBWestern Africa | 0.46 | 260,555 | 100 |
| 83 | TLSSouth-eastern Asia | 0.44 | 126,850 | 100 |
| 84 | COLSouth America | 0.43 | 19,479,486 | 100 |
| 85 | CPVWestern Africa | 0.42 | 27,610 | 100 |
| 86 | MUSEastern Africa | 0.41 | 46,348 | 100 |
| =87 | COMEastern Africa | 0.40 | 43,790 | 100 |
| =87 | PRYSouth America | 0.40 | 5,432,643 | 100 |
| 89 | SLBMelanesia | 0.39 | 24,698 | 100 |
| 90 | IDNSouth-eastern Asia | 0.38 | 14,071,690 | 100 |
| =91 | CHNEastern Asia | 0.36 | 169,196,946 | 100 |
| =91 | MEXCentral America | 0.36 | 36,316,664 | 100 |
| =91 | ESPSouthern Europe | 0.36 | 10,931,650 | 100 |
| =94 | ARGSouth America | 0.35 | 45,012,600 | 100 |
| =94 | GMBWestern Africa | 0.35 | 198,750 | 100 |
| =94 | IRQWestern Asia | 0.35 | 3,292,100 | 100 |
| =97 | KENEastern Africa | 0.34 | 8,584,081 | 100 |
| =97 | PNGMelanesia | 0.34 | 277,982 | 100 |
| 99 | USANorthern America | 0.33 | 144,414,550 | 100 |
| =100 | JORWestern Asia | 0.32 | 338,998 | 100 |
| =100 | MYSSouth-eastern Asia | 0.32 | 1,652,677 | 100 |
| =102 | BFAWestern Africa | 0.30 | 2,745,700 | 100 |
| =102 | GRCSouthern Europe | 0.30 | 2,744,392 | 100 |
| 104 | PERSouth America | 0.29 | 6,118,190 | 100 |
| =105 | SWZSouthern Africa | 0.28 | 355,771 | 100 |
| =105 | UGAEastern Africa | 0.28 | 3,171,099 | 100 |
| 107 | CMRMiddle Africa | 0.27 | 2,502,748 | 100 |
| 108 | RWAEastern Africa | 0.26 | 469,243 | 100 |
| =109 | CANNorthern America | 0.25 | 15,529,275 | 100 |
| =109 | CAFMiddle Africa | 0.25 | 1,225,866 | 100 |
| =109 | LSOSouthern Africa | 0.25 | 579,834 | 100 |
| =109 | ZWEEastern Africa | 0.25 | 3,081,850 | 100 |
| =113 | CHLSouth America | 0.24 | 4,014,500 | 100 |
| =113 | TZAEastern Africa | 0.24 | 7,441,202 | 100 |
| 115 | OMNWestern Asia | 0.23 | 244,606 | 100 |
| =116 | GUYSouth America | 0.22 | 157,600 | 100 |
| =116 | SOMEastern Africa | 0.22 | 9,526,105 | 100 |
| 118 | IRNSouthern Asia | 0.21 | 12,662,450 | 100 |
| 119 | SENWestern Africa | 0.19 | 1,693,550 | 100 |
| =120 | BDIEastern Africa | 0.18 | 373,290 | 100 |
| =120 | NGAWestern Africa | 0.18 | 10,464,060 | 100 |
| =120 | TUNNorthern Africa | 0.18 | 1,695,750 | 100 |
| 123 | MWIEastern Africa | 0.17 | 694,461 | 100 |
| =124 | BOLSouth America | 0.16 | 5,521,963 | 100 |
| =124 | MDGEastern Africa | 0.16 | 5,746,477 | 100 |
| =124 | SYRWestern Asia | 0.16 | 2,180,459 | 100 |
| 127 | MARNorthern Africa | 0.15 | 4,261,915 | 100 |
| =128 | DJIEastern Africa | 0.14 | 177,510 | 100 |
| =128 | NERWestern Africa | 0.14 | 4,185,273 | 100 |
| =128 | ZAFSouthern Africa | 0.14 | 13,603,601 | 100 |
| =131 | MLIWestern Africa | 0.13 | 4,022,120 | 100 |
| =131 | STPMiddle Africa | 0.13 | 3,754 | 100 |
| 133 | AFGSouthern Asia | 0.12 | 4,737,750 | 100 |
| =134 | LBRWestern Africa | 0.11 | 124,400 | 100 |
| =134 | TGOWestern Africa | 0.11 | 329,489 | 100 |
| =136 | DZANorthern Africa | 0.10 | 3,856,188 | 100 |
| =136 | KIRMicronesia | 0.10 | 4,000 | 100 |
| =138 | GHAWestern Africa | 0.09 | 1,051,250 | 100 |
| =138 | ISLNorthern Europe | 0.09 | 180,247 | 100 |
| =138 | SLEWestern Africa | 0.09 | 261,500 | 100 |
| =141 | TCDMiddle Africa | 0.08 | 4,040,310 | 100 |
| =141 | GNQMiddle Africa | 0.08 | 9,100 | 100 |
| =141 | YEMWestern Asia | 0.08 | 1,889,588 | 100 |
| =144 | AUSAustralia and New Zealand | 0.07 | 35,267,559 | 100 |
| =144 | GINWestern Africa | 0.07 | 909,210 | 100 |
| =144 | LBYNorthern Africa | 0.07 | 1,050,120 | 100 |
| =147 | BWASouthern Africa | 0.06 | 1,512,320 | 100 |
| =147 | ZMBEastern Africa | 0.06 | 1,302,098 | 100 |
| =149 | AGOMiddle Africa | 0.05 | 2,012,330 | 100 |
| =149 | CIVWestern Africa | 0.05 | 854,600 | 100 |
| =149 | CODMiddle Africa | 0.05 | 1,267,750 | 100 |
| =149 | MRTWestern Africa | 0.05 | 1,831,500 | 100 |
| =153 | MNGEastern Asia | 0.04 | 5,158,275 | 100 |
| =153 | NAMSouthern Africa | 0.04 | 1,401,737 | 100 |
| =155 | GABMiddle Africa | 0.03 | 65,649 | 100 |
| =155 | MOZEastern Africa | 0.03 | 1,016,900 | 100 |
| 157 | SAUWestern Asia | 0.02 | 2,012,997 | 100 |
| 158 | COGMiddle Africa | 0.01 | 87,848 | 100 |
02In 1984
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore40.95
- 2
Hong Kong21.00
- 3
Netherlands4.32
- 4
Malta2.80
- 5
Taiwan2.44
Lowest
- 158
Republic of the Congo0.01
- 157
Saudi Arabia0.02
- 155
Mozambiqueshared0.03
- 155
Gabonshared0.03
- 153
Namibiashared0.04
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
031983 → 1984
Since 1983
What changed between 1983 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 110values changed, of 158 in both
- 67 · 43rose · fell
- 48unchanged
Rose most
Malta2.38 → 2.80+0.42
Taiwan2.11 → 2.44+0.33
Kuwait1.33 → 1.48+0.15
Tuvalu0.75 → 0.88+0.13
Netherlands4.22 → 4.32+0.10
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 1984.
102 distinct values among 158
Values are stored exactly as published, to 2 decimals. 4 countries share 0.59. 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-1984-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) (1984). Livestock Density, 1984 [data set], describing 1984. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/1984
0663 held
Other years
‹ The year before
Livestock Density, 1983158 countries
The year after ›
Livestock Density, 1985158 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, 1984: questions and answers
Which country has the highest livestock density in Livestock Density, 1984?
Singapore, at 40.95, of the 158 countries in the file.
What year does Livestock Density, 1984 describe?
1984.
How many countries does Livestock Density, 1984 cover?
158.
Where can I download Livestock Density, 1984?
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, 1984 the newest?
No. The newest held here is Livestock Density, 2023.