Data for 1964
Livestock Density, 1964
1964, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 1964 covers 158 countries on 3 measures. Singapore is highest, at 15.84; Republic of the Congo is lowest, at 0.00. The middle country reads 0.35. Against 1963, 97 values changed (67 up, 30 down), the same countries are covered.
Livestock Density · Data for 1964
HighestSingapore
15.84LowestRepublic 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, 1964, 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 | 15.84 | 205,969 | 100 |
| 2 | HKGEastern Asia | 8.76 | 113,940 | 100 |
| 3 | NLDWestern Europe | 2.05 | 4,619,568 | 100 |
| 4 | DNKNorthern Europe | 1.71 | 5,250,117 | 100 |
| 5 | BHSCaribbean | 1.64 | 16,408 | 100 |
| 6 | NORNorthern Europe | 1.40 | 1,426,726 | 100 |
| 7 | BGDSouthern Asia | 1.38 | 13,100,500 | 100 |
| =8 | BRBCaribbean | 1.37 | 26,030 | 100 |
| =8 | EGYNorthern Africa | 1.37 | 3,423,990 | 100 |
| 10 | MLTSouthern Europe | 1.34 | 20,080 | 100 |
| 11 | SURSouth America | 1.33 | 61,191 | 100 |
| 12 | DEUWestern Europe | 1.25 | 24,353,343 | 100 |
| 13 | CHEWestern Europe | 1.18 | 2,025,010 | 100 |
| 14 | TWNEastern Asia | 1.16 | 1,036,330 | 100 |
| 15 | TLSSouth-eastern Asia | 1.12 | 258,357 | 100 |
| 16 | NPLSouthern Asia | 1.10 | 3,897,900 | 100 |
| 17 | IRLNorthern Europe | 1.02 | 4,753,782 | 100 |
| 18 | CUBCaribbean | 0.97 | 4,599,570 | 100 |
| =19 | ATGCaribbean | 0.87 | 7,826 | 100 |
| =19 | AUTWestern Europe | 0.87 | 3,011,328 | 100 |
| =19 | VNMSouth-eastern Asia | 0.87 | 5,484,260 | 100 |
| 22 | NZLAustralia and New Zealand | 0.86 | 11,450,128 | 100 |
| =23 | TTOCaribbean | 0.84 | 82,020 | 100 |
| =23 | GBRNorthern Europe | 0.84 | 16,554,169 | 100 |
| 25 | FINNorthern Europe | 0.82 | 2,306,578 | 100 |
| =26 | SLVCentral America | 0.80 | 990,435 | 100 |
| =26 | NRUMicronesia | 0.80 | 240 | 100 |
| 28 | JPNEastern Asia | 0.79 | 5,571,220 | 100 |
| 29 | LKASouthern Asia | 0.75 | 1,576,878 | 100 |
| =30 | INDSouthern Asia | 0.72 | 127,882,300 | 100 |
| =30 | LCACaribbean | 0.72 | 13,000 | 100 |
| =32 | FRAWestern Europe | 0.70 | 23,935,970 | 100 |
| =32 | SWENorthern Europe | 0.70 | 2,757,107 | 100 |
| 34 | HTICaribbean | 0.69 | 1,160,250 | 100 |
| 35 | PHLSouth-eastern Asia | 0.68 | 5,518,350 | 100 |
| 36 | VCTCaribbean | 0.67 | 7,320 | 100 |
| 37 | LAOSouth-eastern Asia | 0.63 | 909,118 | 100 |
| 38 | CRICentral America | 0.62 | 915,854 | 100 |
| 39 | KOREastern Asia | 0.61 | 1,338,594 | 100 |
| 40 | TUVPolynesia | 0.60 | 1,200 | 100 |
| =41 | POLEastern Europe | 0.59 | 11,880,350 | 100 |
| =41 | THASouth-eastern Asia | 0.59 | 7,538,716 | 100 |
| 43 | PRTSouthern Europe | 0.58 | 2,277,100 | 100 |
| 44 | ITASouthern Europe | 0.57 | 11,588,705 | 100 |
| 45 | ISRWestern Asia | 0.55 | 289,230 | 100 |
| =46 | BGREastern Europe | 0.54 | 3,113,830 | 100 |
| =46 | URYSouth America | 0.54 | 8,732,905 | 100 |
| 48 | HUNEastern Europe | 0.53 | 3,726,140 | 100 |
| =49 | BRNSouth-eastern Asia | 0.52 | 12,520 | 100 |
| =49 | DOMCaribbean | 0.52 | 1,159,300 | 100 |
| 51 | ALBSouthern Europe | 0.51 | 628,885 | 100 |
| =52 | GTMCentral America | 0.50 | 1,343,810 | 100 |
| =52 | JAMCaribbean | 0.50 | 268,660 | 100 |
| =52 | AREWestern Asia | 0.50 | 103,110 | 100 |
| =55 | BHRWestern Asia | 0.49 | 4,900 | 100 |
| =55 | MMRSouth-eastern Asia | 0.49 | 5,176,144 | 100 |
| 57 | WSMPolynesia | 0.48 | 27,281 | 100 |
| =58 | ECUSouth America | 0.47 | 2,232,878 | 100 |
| =58 | HNDCentral America | 0.47 | 1,416,664 | 100 |
| =58 | PANCentral America | 0.47 | 773,311 | 100 |
| 61 | FJIMelanesia | 0.46 | 104,498 | 100 |
| 62 | TURWestern Asia | 0.45 | 16,928,502 | 100 |
| =63 | KHMSouth-eastern Asia | 0.43 | 1,555,594 | 100 |
| =63 | TONPolynesia | 0.43 | 12,419 | 100 |
| 65 | NICCentral America | 0.42 | 1,473,008 | 100 |
| =66 | COMEastern Africa | 0.41 | 38,530 | 100 |
| =66 | VUTMelanesia | 0.41 | 43,447 | 100 |
| =68 | PRKEastern Asia | 0.40 | 892,455 | 100 |
| =68 | ROUEastern Europe | 0.40 | 5,942,905 | 100 |
| =70 | GRDCaribbean | 0.38 | 8,432 | 100 |
| =70 | PAKSouthern Asia | 0.38 | 13,920,946 | 100 |
| =70 | SYCEastern Africa | 0.38 | 1,915 | 100 |
| 73 | BTNSouthern Asia | 0.37 | 133,580 | 100 |
| =74 | BLZCentral America | 0.36 | 28,791 | 100 |
| =74 | GNBWestern Africa | 0.36 | 175,100 | 100 |
| =74 | KWTWestern Asia | 0.36 | 49,140 | 100 |
| =74 | MUSEastern Africa | 0.36 | 35,656 | 100 |
| =78 | BRASouth America | 0.35 | 58,227,957 | 100 |
| =78 | GRCSouthern Europe | 0.35 | 3,104,560 | 100 |
| =78 | IRQWestern Asia | 0.35 | 3,091,000 | 100 |
| =81 | LBNWestern Asia | 0.34 | 196,341 | 100 |
| =81 | PRYSouth America | 0.34 | 3,601,234 | 100 |
| =81 | KNACaribbean | 0.34 | 6,796 | 100 |
| =84 | CYPWestern Asia | 0.33 | 132,490 | 100 |
| =84 | PERSouth America | 0.33 | 5,893,360 | 100 |
| =86 | COLSouth America | 0.32 | 13,468,000 | 100 |
| =86 | DMACaribbean | 0.32 | 5,840 | 100 |
| =88 | CPVWestern Africa | 0.31 | 19,991 | 100 |
| =88 | USANorthern America | 0.31 | 137,018,608 | 100 |
| =88 | VENSouth America | 0.31 | 6,061,363 | 100 |
| =91 | ARGSouth America | 0.29 | 38,725,800 | 100 |
| =91 | CHNEastern Asia | 0.29 | 100,755,850 | 100 |
| =91 | IDNSouth-eastern Asia | 0.29 | 9,109,700 | 100 |
| =91 | MYSSouth-eastern Asia | 0.29 | 964,382 | 100 |
| =95 | BENWestern Africa | 0.28 | 412,936 | 100 |
| =95 | PNGMelanesia | 0.28 | 154,854 | 100 |
| =95 | QATWestern Asia | 0.28 | 14,515 | 100 |
| 98 | ESPSouthern Europe | 0.27 | 8,695,417 | 100 |
| =99 | CHLSouth America | 0.25 | 3,437,610 | 100 |
| =99 | JORWestern Asia | 0.25 | 275,176 | 100 |
| =99 | RWAEastern Africa | 0.25 | 331,240 | 100 |
| 102 | MEXCentral America | 0.23 | 22,180,921 | 100 |
| =103 | CANNorthern America | 0.22 | 14,188,055 | 100 |
| =103 | GMBWestern Africa | 0.22 | 115,400 | 100 |
| =105 | SWZSouthern Africa | 0.21 | 312,931 | 100 |
| =105 | UGAEastern Africa | 0.21 | 2,096,806 | 100 |
| =107 | KENEastern Africa | 0.20 | 5,015,400 | 100 |
| =107 | MARNorthern Africa | 0.20 | 4,920,590 | 100 |
| =109 | BDIEastern Africa | 0.19 | 302,808 | 100 |
| =109 | TZAEastern Africa | 0.19 | 5,241,800 | 100 |
| =109 | ZWEEastern Africa | 0.19 | 1,971,897 | 100 |
| 112 | GUYSouth America | 0.18 | 242,346 | 100 |
| =113 | BFAWestern Africa | 0.17 | 1,494,500 | 100 |
| =113 | LSOSouthern Africa | 0.17 | 439,900 | 100 |
| =115 | CMRMiddle Africa | 0.16 | 1,228,400 | 100 |
| =115 | IRNSouthern Asia | 0.16 | 9,632,100 | 100 |
| =115 | SENWestern Africa | 0.16 | 1,386,000 | 100 |
| =115 | SLBMelanesia | 0.16 | 9,065 | 100 |
| =119 | AFGSouthern Asia | 0.15 | 5,597,970 | 100 |
| =119 | TUNNorthern Africa | 0.15 | 1,286,800 | 100 |
| =121 | SOMEastern Africa | 0.14 | 6,235,200 | 100 |
| =121 | ZAFSouthern Africa | 0.14 | 13,948,401 | 100 |
| 123 | MDGEastern Africa | 0.13 | 4,573,970 | 100 |
| =124 | MLIWestern Africa | 0.11 | 3,508,300 | 100 |
| =124 | NERWestern Africa | 0.11 | 3,452,500 | 100 |
| 126 | STPMiddle Africa | 0.10 | 3,644 | 100 |
| =127 | BOLSouth America | 0.09 | 2,836,865 | 100 |
| =127 | MWIEastern Africa | 0.09 | 320,897 | 100 |
| =127 | NGAWestern Africa | 0.09 | 4,821,000 | 100 |
| =127 | YEMWestern Asia | 0.09 | 1,993,950 | 100 |
| =131 | KIRMicronesia | 0.08 | 3,400 | 100 |
| =131 | OMNWestern Asia | 0.08 | 80,440 | 100 |
| =131 | TGOWestern Africa | 0.08 | 246,461 | 100 |
| =134 | AUSAustralia and New Zealand | 0.07 | 34,580,090 | 100 |
| =134 | ISLNorthern Europe | 0.07 | 145,796 | 100 |
| =134 | SLEWestern Africa | 0.07 | 180,800 | 100 |
| =134 | SYRWestern Asia | 0.07 | 1,091,422 | 100 |
| =138 | CAFMiddle Africa | 0.06 | 282,700 | 100 |
| =138 | TCDMiddle Africa | 0.06 | 2,991,000 | 100 |
| =138 | DJIEastern Africa | 0.06 | 79,510 | 100 |
| =138 | GHAWestern Africa | 0.06 | 673,855 | 100 |
| =138 | GINWestern Africa | 0.06 | 766,418 | 100 |
| =138 | MRTWestern Africa | 0.06 | 2,278,650 | 100 |
| =144 | LBRWestern Africa | 0.05 | 61,700 | 100 |
| =144 | LBYNorthern Africa | 0.05 | 635,464 | 100 |
| =146 | GNQMiddle Africa | 0.04 | 5,668 | 100 |
| =146 | MNGEastern Asia | 0.04 | 5,026,650 | 100 |
| =146 | NAMSouthern Africa | 0.04 | 1,695,880 | 100 |
| =146 | ZMBEastern Africa | 0.04 | 711,200 | 100 |
| =150 | DZANorthern Africa | 0.03 | 1,423,010 | 100 |
| =150 | BWASouthern Africa | 0.03 | 870,736 | 100 |
| =150 | CODMiddle Africa | 0.03 | 794,955 | 100 |
| =153 | AGOMiddle Africa | 0.02 | 993,290 | 100 |
| =153 | CIVWestern Africa | 0.02 | 343,700 | 100 |
| =153 | GABMiddle Africa | 0.02 | 31,600 | 100 |
| =153 | MOZEastern Africa | 0.02 | 668,134 | 100 |
| 157 | SAUWestern Asia | 0.01 | 449,235 | 100 |
| 158 | COGMiddle Africa | 0.00 | 35,300 | 100 |
02In 1964
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore15.84
- 2
Hong Kong8.76
- 3
Netherlands2.05
- 4
Denmark1.71
- 5
Bahamas1.64
Lowest
- 158
Republic of the Congo0.00
- 157
Saudi Arabia0.01
- 153
Mozambiqueshared0.02
- 153
Gabonshared0.02
- 153
Côte d’Ivoireshared0.02
Neither end is better. The values describe a shape, not a score. The middle country reads 0.35. “Shared” marks a value another country also holds.
Each measure’s ends
Total livestock units
Highest
United States137,018,608
Lowest
Nauru240
Middle country: 1,159,775
Share of total livestock (%)
Highest158 share it
Lowest158 share it
Middle country: 100
031963 → 1964
Since 1963
What changed between 1963 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 97values changed, of 158 in both
- 67 · 30rose · fell
- 61unchanged
Rose most
Malta1.23 → 1.34+0.11
Laos0.52 → 0.63+0.11
Bangladesh1.27 → 1.38+0.11
Sri Lanka0.66 → 0.75+0.09
Antigua and Barbuda0.80 → 0.87+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 1964.
86 distinct values among 158
Values are stored exactly as published, to 2 decimals. 6 countries share 0.06. 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-1964-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) (1964). Livestock Density, 1964 [data set], describing 1964. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/1964
0663 held
Other years
‹ The year before
Livestock Density, 1963158 countries
The year after ›
Livestock Density, 1965158 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, 1964: questions and answers
Which country has the highest livestock density in Livestock Density, 1964?
Singapore, at 15.84, of the 158 countries in the file.
What year does Livestock Density, 1964 describe?
1964.
How many countries does Livestock Density, 1964 cover?
158.
Where can I download Livestock Density, 1964?
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, 1964 the newest?
No. The newest held here is Livestock Density, 2023.