Data for 1969
Livestock Density, 1969
1969, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 1969 covers 158 countries on 3 measures. Singapore is highest, at 22.52; Republic of the Congo is lowest, at 0.00. The middle country reads 0.36. Against 1968, 111 values changed (77 up, 34 down), the same countries are covered.
Livestock Density · Data for 1969
HighestSingapore
22.52LowestRepublic of the Congo
0.00Shaded 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, 1969, 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 | 22.52 | 270,300 | 100 |
| 2 | HKGEastern Asia | 10.87 | 141,342 | 100 |
| 3 | NLDWestern Europe | 2.31 | 5,133,150 | 100 |
| 4 | MLTSouthern Europe | 1.87 | 26,208 | 100 |
| =5 | BHSCaribbean | 1.65 | 16,530 | 100 |
| =5 | DNKNorthern Europe | 1.65 | 4,925,584 | 100 |
| 7 | BRBCaribbean | 1.59 | 30,230 | 100 |
| 8 | BGDSouthern Asia | 1.49 | 14,430,000 | 100 |
| 9 | EGYNorthern Africa | 1.47 | 4,180,410 | 100 |
| 10 | SURSouth America | 1.41 | 66,306 | 100 |
| 11 | DEUWestern Europe | 1.36 | 26,179,720 | 100 |
| 12 | CHEWestern Europe | 1.34 | 2,269,220 | 100 |
| 13 | NORNorthern Europe | 1.32 | 1,302,696 | 100 |
| 14 | TWNEastern Asia | 1.24 | 1,134,102 | 100 |
| 15 | NPLSouthern Asia | 1.17 | 4,183,000 | 100 |
| 16 | TLSSouth-eastern Asia | 1.12 | 260,895 | 100 |
| 17 | IRLNorthern Europe | 1.10 | 5,319,645 | 100 |
| 18 | NZLAustralia and New Zealand | 1.07 | 13,979,918 | 100 |
| 19 | CUBCaribbean | 1.04 | 4,932,130 | 100 |
| 20 | TTOCaribbean | 1.03 | 100,998 | 100 |
| 21 | JPNEastern Asia | 1.01 | 6,698,612 | 100 |
| 22 | ATGCaribbean | 0.97 | 8,763 | 100 |
| 23 | AUTWestern Europe | 0.94 | 3,134,935 | 100 |
| 24 | GBRNorthern Europe | 0.88 | 17,098,668 | 100 |
| =25 | SLVCentral America | 0.87 | 1,040,835 | 100 |
| =25 | VNMSouth-eastern Asia | 0.87 | 5,522,890 | 100 |
| =27 | BRNSouth-eastern Asia | 0.81 | 19,421 | 100 |
| =27 | LAOSouth-eastern Asia | 0.81 | 1,187,200 | 100 |
| 29 | PHLSouth-eastern Asia | 0.80 | 6,594,046 | 100 |
| 30 | FINNorthern Europe | 0.77 | 2,129,955 | 100 |
| =31 | FRAWestern Europe | 0.76 | 25,061,192 | 100 |
| =31 | HTICaribbean | 0.76 | 1,300,085 | 100 |
| 33 | INDSouthern Asia | 0.73 | 130,535,200 | 100 |
| 34 | KHMSouth-eastern Asia | 0.72 | 2,520,105 | 100 |
| 35 | NRUMicronesia | 0.70 | 280 | 100 |
| 36 | SWENorthern Europe | 0.68 | 2,549,563 | 100 |
| 37 | LCACaribbean | 0.67 | 12,640 | 100 |
| =38 | ITASouthern Europe | 0.66 | 13,330,840 | 100 |
| =38 | POLEastern Europe | 0.66 | 12,993,890 | 100 |
| 40 | VCTCaribbean | 0.65 | 7,170 | 100 |
| 41 | CRICentral America | 0.64 | 1,142,147 | 100 |
| 42 | THASouth-eastern Asia | 0.63 | 8,726,495 | 100 |
| 43 | PRTSouthern Europe | 0.61 | 2,401,585 | 100 |
| =44 | FJIMelanesia | 0.60 | 131,590 | 100 |
| =44 | TUVPolynesia | 0.60 | 1,200 | 100 |
| 46 | BHRWestern Asia | 0.58 | 5,760 | 100 |
| =47 | PANCentral America | 0.57 | 962,685 | 100 |
| =47 | KOREastern Asia | 0.57 | 1,333,490 | 100 |
| =47 | LKASouthern Asia | 0.57 | 1,320,712 | 100 |
| =47 | URYSouth America | 0.57 | 8,934,200 | 100 |
| =51 | ECUSouth America | 0.56 | 2,702,010 | 100 |
| =51 | ISRWestern Asia | 0.56 | 292,980 | 100 |
| =51 | AREWestern Asia | 0.56 | 117,980 | 100 |
| 54 | MMRSouth-eastern Asia | 0.55 | 5,974,279 | 100 |
| =55 | JAMCaribbean | 0.53 | 273,376 | 100 |
| =55 | NICCentral America | 0.53 | 1,912,455 | 100 |
| =57 | GTMCentral America | 0.52 | 1,418,073 | 100 |
| =57 | SYCEastern Africa | 0.52 | 2,605 | 100 |
| =57 | VUTMelanesia | 0.52 | 58,515 | 100 |
| =60 | HUNEastern Europe | 0.51 | 3,498,902 | 100 |
| =60 | KWTWestern Asia | 0.51 | 69,359 | 100 |
| =60 | PRKEastern Asia | 0.51 | 1,142,900 | 100 |
| 63 | DOMCaribbean | 0.50 | 1,164,100 | 100 |
| =64 | ALBSouthern Europe | 0.48 | 588,985 | 100 |
| =64 | BGREastern Europe | 0.48 | 2,902,418 | 100 |
| =64 | HNDCentral America | 0.48 | 1,465,174 | 100 |
| =64 | WSMPolynesia | 0.48 | 30,276 | 100 |
| =68 | COMEastern Africa | 0.47 | 44,380 | 100 |
| =68 | TURWestern Asia | 0.47 | 18,206,702 | 100 |
| =70 | ROUEastern Europe | 0.46 | 6,812,665 | 100 |
| =70 | TONPolynesia | 0.46 | 15,056 | 100 |
| =72 | CYPWestern Asia | 0.44 | 176,380 | 100 |
| =72 | PAKSouthern Asia | 0.44 | 15,608,550 | 100 |
| 74 | BLZCentral America | 0.41 | 33,940 | 100 |
| =75 | BTNSouthern Asia | 0.40 | 148,995 | 100 |
| =75 | GRDCaribbean | 0.40 | 8,730 | 100 |
| 77 | IRQWestern Asia | 0.39 | 3,533,300 | 100 |
| 78 | KNACaribbean | 0.37 | 6,658 | 100 |
| =79 | BRASouth America | 0.36 | 67,796,330 | 100 |
| =79 | COLSouth America | 0.36 | 15,501,702 | 100 |
| =81 | CPVWestern Africa | 0.35 | 22,492 | 100 |
| =81 | GNBWestern Africa | 0.35 | 175,550 | 100 |
| =81 | PERSouth America | 0.35 | 6,170,351 | 100 |
| =81 | VENSouth America | 0.35 | 6,912,800 | 100 |
| 85 | CHNEastern Asia | 0.34 | 124,732,500 | 100 |
| =86 | ARGSouth America | 0.33 | 42,268,622 | 100 |
| =86 | QATWestern Asia | 0.33 | 16,845 | 100 |
| =88 | GRCSouthern Europe | 0.32 | 2,959,768 | 100 |
| =88 | MUSEastern Africa | 0.32 | 36,005 | 100 |
| =88 | PRYSouth America | 0.32 | 3,527,560 | 100 |
| =88 | USANorthern America | 0.32 | 140,903,060 | 100 |
| =92 | BENWestern Africa | 0.31 | 524,368 | 100 |
| =92 | LBNWestern Asia | 0.31 | 194,469 | 100 |
| =92 | PNGMelanesia | 0.31 | 188,635 | 100 |
| =95 | JORWestern Asia | 0.29 | 322,506 | 100 |
| =95 | RWAEastern Africa | 0.29 | 412,042 | 100 |
| =97 | GMBWestern Africa | 0.28 | 147,778 | 100 |
| =97 | MYSSouth-eastern Asia | 0.28 | 1,066,905 | 100 |
| =99 | DMACaribbean | 0.27 | 5,065 | 100 |
| =99 | IDNSouth-eastern Asia | 0.27 | 9,064,310 | 100 |
| =99 | MEXCentral America | 0.27 | 26,649,727 | 100 |
| =99 | ESPSouthern Europe | 0.27 | 8,761,290 | 100 |
| 103 | ZWEEastern Africa | 0.26 | 2,750,333 | 100 |
| 104 | SLBMelanesia | 0.25 | 13,777 | 100 |
| =105 | CHLSouth America | 0.24 | 3,511,447 | 100 |
| =105 | MARNorthern Africa | 0.24 | 6,170,100 | 100 |
| 107 | UGAEastern Africa | 0.23 | 2,328,537 | 100 |
| =108 | BDIEastern Africa | 0.22 | 423,007 | 100 |
| =108 | CANNorthern America | 0.22 | 14,061,270 | 100 |
| =108 | LSOSouthern Africa | 0.22 | 547,180 | 100 |
| =108 | TZAEastern Africa | 0.22 | 5,849,710 | 100 |
| =112 | BFAWestern Africa | 0.21 | 1,859,400 | 100 |
| =112 | SWZSouthern Africa | 0.21 | 309,020 | 100 |
| =112 | GUYSouth America | 0.21 | 292,520 | 100 |
| =112 | KENEastern Africa | 0.21 | 5,235,820 | 100 |
| =116 | CMRMiddle Africa | 0.20 | 1,622,700 | 100 |
| =116 | SENWestern Africa | 0.20 | 1,763,460 | 100 |
| =118 | IRNSouthern Asia | 0.17 | 9,945,000 | 100 |
| =118 | SOMEastern Africa | 0.17 | 7,489,710 | 100 |
| =120 | AFGSouthern Asia | 0.16 | 6,048,200 | 100 |
| =120 | TUNNorthern Africa | 0.16 | 1,436,100 | 100 |
| =122 | MDGEastern Africa | 0.14 | 5,092,658 | 100 |
| =122 | MLIWestern Africa | 0.14 | 4,333,870 | 100 |
| =122 | NERWestern Africa | 0.14 | 4,374,400 | 100 |
| =122 | ZAFSouthern Africa | 0.14 | 13,027,148 | 100 |
| =126 | BOLSouth America | 0.11 | 3,282,120 | 100 |
| =126 | MWIEastern Africa | 0.11 | 413,877 | 100 |
| =126 | NGAWestern Africa | 0.11 | 5,958,900 | 100 |
| 129 | SYRWestern Asia | 0.10 | 1,277,738 | 100 |
| =130 | KIRMicronesia | 0.09 | 3,240 | 100 |
| =130 | OMNWestern Asia | 0.09 | 88,550 | 100 |
| =130 | STPMiddle Africa | 0.09 | 3,270 | 100 |
| =130 | TGOWestern Africa | 0.09 | 266,835 | 100 |
| =134 | CAFMiddle Africa | 0.08 | 402,100 | 100 |
| =134 | GHAWestern Africa | 0.08 | 878,500 | 100 |
| =134 | SLEWestern Africa | 0.08 | 206,600 | 100 |
| =137 | AUSAustralia and New Zealand | 0.07 | 37,118,006 | 100 |
| =137 | TCDMiddle Africa | 0.07 | 3,133,000 | 100 |
| =137 | DJIEastern Africa | 0.07 | 96,900 | 100 |
| =137 | ISLNorthern Europe | 0.07 | 154,035 | 100 |
| =137 | LBRWestern Africa | 0.07 | 74,200 | 100 |
| =137 | YEMWestern Asia | 0.07 | 1,635,650 | 100 |
| =143 | GINWestern Africa | 0.06 | 762,465 | 100 |
| =143 | MRTWestern Africa | 0.06 | 2,242,000 | 100 |
| =145 | DZANorthern Africa | 0.05 | 2,231,505 | 100 |
| =145 | GNQMiddle Africa | 0.05 | 6,680 | 100 |
| =145 | LBYNorthern Africa | 0.05 | 627,385 | 100 |
| =145 | NAMSouthern Africa | 0.05 | 1,781,820 | 100 |
| =145 | ZMBEastern Africa | 0.05 | 922,838 | 100 |
| =150 | BWASouthern Africa | 0.04 | 952,787 | 100 |
| =150 | CODMiddle Africa | 0.04 | 889,785 | 100 |
| =152 | AGOMiddle Africa | 0.03 | 1,345,880 | 100 |
| =152 | CIVWestern Africa | 0.03 | 446,200 | 100 |
| =152 | MNGEastern Asia | 0.03 | 4,834,225 | 100 |
| =155 | GABMiddle Africa | 0.02 | 33,800 | 100 |
| =155 | MOZEastern Africa | 0.02 | 822,704 | 100 |
| 157 | SAUWestern Asia | 0.01 | 564,880 | 100 |
| 158 | COGMiddle Africa | 0.00 | 37,300 | 100 |
02In 1969
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore22.52
- 2
Hong Kong10.87
- 3
Netherlands2.31
- 4
Malta1.87
- 5
Bahamasshared1.65
Lowest
- 158
Republic of the Congo0.00
- 157
Saudi Arabia0.01
- 155
Mozambiqueshared0.02
- 155
Gabonshared0.02
- 152
Mongoliashared0.03
Neither end is better. The values describe a shape, not a score. The middle country reads 0.36. “Shared” marks a value another country also holds.
Each measure’s ends
Total livestock units
Highest
United States140,903,060
Lowest
Nauru280
Middle country: 1,301,390
Share of total livestock (%)
Highest158 share it
Lowest158 share it
Middle country: 100
031968 → 1969
Since 1968
What changed between 1968 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 111values changed, of 158 in both
- 77 · 34rose · fell
- 47unchanged
Rose most
Fell most
Suriname1.64 → 1.41−0.23
Bahamas1.83 → 1.65−0.18
Singapore22.69 → 22.52−0.17
Netherlands2.44 → 2.31−0.13
Hungary0.57 → 0.51−0.06
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 1969.
86 distinct values among 158
Values are stored exactly as published, to 2 decimals. 6 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-1969-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) (1969). Livestock Density, 1969 [data set], describing 1969. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/1969
0663 held
Other years
‹ The year before
Livestock Density, 1968158 countries
The year after ›
Livestock Density, 1970158 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, 1969: questions and answers
Which country has the highest livestock density in Livestock Density, 1969?
Singapore, at 22.52, of the 158 countries in the file.
What year does Livestock Density, 1969 describe?
1969.
How many countries does Livestock Density, 1969 cover?
158.
Where can I download Livestock Density, 1969?
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, 1969 the newest?
No. The newest held here is Livestock Density, 2023.