Data for 1994
Livestock Density, 1994
1994, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 1994 covers 182 countries on 3 measures. Singapore is highest, at 16.10; Republic of the Congo is lowest, at 0.01. The middle country reads 0.46. Against 1993, 129 values changed (74 up, 55 down), the same countries are covered.
Livestock Density · Data for 1994
HighestSingapore
16.10LowestRepublic 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, 1994, 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 182 countries · select a heading to sort
| derived | ||||
|---|---|---|---|---|
| 1 | SGPSouth-eastern Asia | 16.10 | 19,315 | 100 |
| 2 | HKGEastern Asia | 8.24 | 65,880 | 100 |
| 3 | NLDWestern Europe | 4.56 | 8,884,670 | 100 |
| 4 | TWNEastern Asia | 4.10 | 3,576,795 | 100 |
| 5 | MLTSouthern Europe | 3.59 | 46,630 | 100 |
| 6 | FSMMicronesia | 3.09 | 17,000 | 100 |
| 7 | BRBCaribbean | 2.95 | 56,100 | 100 |
| 8 | BRNSouth-eastern Asia | 2.94 | 38,217 | 100 |
| 9 | EGYNorthern Africa | 2.37 | 7,136,856 | 100 |
| 10 | SYCEastern Africa | 2.36 | 9,455 | 100 |
| 11 | TTOCaribbean | 2.11 | 171,105 | 100 |
| 12 | KOREastern Asia | 2.04 | 4,272,751 | 100 |
| 13 | BHRWestern Asia | 1.90 | 19,010 | 100 |
| 14 | JPNEastern Asia | 1.85 | 10,405,740 | 100 |
| 15 | DNKNorthern Europe | 1.80 | 4,840,806 | 100 |
| 16 | BGDSouthern Asia | 1.75 | 16,387,500 | 100 |
| =17 | BHSCaribbean | 1.74 | 17,404 | 100 |
| =17 | QATWestern Asia | 1.74 | 113,028 | 100 |
| =19 | ATGCaribbean | 1.69 | 15,168 | 100 |
| =19 | KWTWestern Asia | 1.69 | 239,859 | 100 |
| 21 | IRLNorthern Europe | 1.54 | 6,764,780 | 100 |
| 22 | NRUMicronesia | 1.52 | 610 | 100 |
| 23 | TUVPolynesia | 1.43 | 2,860 | 100 |
| 24 | CYPWestern Asia | 1.39 | 199,230 | 100 |
| 25 | NPLSouthern Asia | 1.38 | 5,765,683 | 100 |
| 26 | CHEWestern Europe | 1.35 | 2,141,739 | 100 |
| 27 | NORNorthern Europe | 1.33 | 1,374,509 | 100 |
| 28 | VNMSouth-eastern Asia | 1.31 | 9,327,460 | 100 |
| 29 | DEUWestern Europe | 1.30 | 22,523,756 | 100 |
| 30 | LAOSouth-eastern Asia | 1.23 | 2,078,564 | 100 |
| =31 | WSMPolynesia | 1.18 | 60,350 | 100 |
| =31 | SURSouth America | 1.18 | 104,580 | 100 |
| =33 | AUTWestern Europe | 1.09 | 3,271,650 | 100 |
| =33 | VCTCaribbean | 1.09 | 9,945 | 100 |
| 35 | TONPolynesia | 1.08 | 34,660 | 100 |
| 36 | GBRNorthern Europe | 1.06 | 18,423,699 | 100 |
| 37 | AREWestern Asia | 1.01 | 376,204 | 100 |
| 38 | NZLAustralia and New Zealand | 1.00 | 13,243,067 | 100 |
| 39 | ALBSouthern Europe | 0.95 | 1,070,602 | 100 |
| 40 | ISRWestern Asia | 0.94 | 545,755 | 100 |
| 41 | INDSouthern Asia | 0.93 | 168,382,650 | 100 |
| =42 | DOMCaribbean | 0.91 | 2,342,700 | 100 |
| =42 | HTICaribbean | 0.91 | 1,451,400 | 100 |
| =42 | SVNSouthern Europe | 0.91 | 501,255 | 100 |
| 45 | JAMCaribbean | 0.88 | 438,200 | 100 |
| 46 | CPVWestern Africa | 0.87 | 59,803 | 100 |
| =47 | MUSEastern Africa | 0.86 | 90,625 | 100 |
| =47 | MMRSouth-eastern Asia | 0.86 | 8,966,365 | 100 |
| =49 | PAKSouthern Asia | 0.85 | 30,323,200 | 100 |
| =49 | LCACaribbean | 0.85 | 16,540 | 100 |
| 51 | FRAWestern Europe | 0.84 | 25,427,987 | 100 |
| 52 | SLVCentral America | 0.83 | 1,071,350 | 100 |
| 53 | TLSSouth-eastern Asia | 0.78 | 266,065 | 100 |
| 54 | CRICentral America | 0.76 | 1,602,457 | 100 |
| 55 | FJIMelanesia | 0.75 | 305,725 | 100 |
| 56 | GRDCaribbean | 0.74 | 8,896 | 100 |
| =57 | ITASouthern Europe | 0.73 | 11,531,039 | 100 |
| =57 | SWENorthern Europe | 0.73 | 2,438,700 | 100 |
| 59 | DMACaribbean | 0.70 | 12,670 | 100 |
| 60 | VUTMelanesia | 0.68 | 109,015 | 100 |
| =61 | ECUSouth America | 0.67 | 5,480,320 | 100 |
| =61 | PRKEastern Asia | 0.67 | 1,761,875 | 100 |
| =61 | URYSouth America | 0.67 | 9,964,075 | 100 |
| =64 | LBNWestern Asia | 0.66 | 403,348 | 100 |
| =64 | PRTSouthern Europe | 0.66 | 2,604,281 | 100 |
| =66 | CUBCaribbean | 0.64 | 4,306,082 | 100 |
| =66 | FINNorthern Europe | 0.64 | 1,533,890 | 100 |
| =68 | KHMSouth-eastern Asia | 0.63 | 2,890,618 | 100 |
| =68 | ETHEastern Africa | 0.63 | 19,086,500 | 100 |
| 70 | PHLSouth-eastern Asia | 0.62 | 6,783,426 | 100 |
| =71 | NICCentral America | 0.61 | 2,556,020 | 100 |
| =71 | LKASouthern Asia | 0.61 | 1,421,995 | 100 |
| =73 | CZEEastern Europe | 0.60 | 2,590,861 | 100 |
| =73 | PANCentral America | 0.60 | 1,272,280 | 100 |
| 75 | BRASouth America | 0.59 | 135,278,041 | 100 |
| 76 | GNBWestern Africa | 0.57 | 348,880 | 100 |
| =77 | HNDCentral America | 0.56 | 1,966,525 | 100 |
| =77 | IDNSouth-eastern Asia | 0.56 | 23,420,460 | 100 |
| =77 | POLEastern Europe | 0.56 | 10,458,243 | 100 |
| =77 | VENSouth America | 0.56 | 12,190,173 | 100 |
| 81 | KNACaribbean | 0.55 | 5,500 | 100 |
| =82 | BLREastern Europe | 0.54 | 5,050,910 | 100 |
| =82 | JORWestern Asia | 0.54 | 573,888 | 100 |
| =82 | SVKEastern Europe | 0.54 | 1,309,709 | 100 |
| 85 | THASouth-eastern Asia | 0.53 | 11,267,928 | 100 |
| 86 | GTMCentral America | 0.50 | 2,258,425 | 100 |
| =87 | COLSouth America | 0.49 | 22,024,500 | 100 |
| =87 | PRYSouth America | 0.49 | 7,443,322 | 100 |
| =87 | ROUEastern Europe | 0.49 | 7,187,059 | 100 |
| 90 | UKREastern Europe | 0.47 | 19,612,785 | 100 |
| =91 | BLZCentral America | 0.46 | 65,792 | 100 |
| =91 | CHNEastern Asia | 0.46 | 239,169,750 | 100 |
| 93 | ESPSouthern Europe | 0.45 | 13,633,410 | 100 |
| 94 | BTNSouthern Asia | 0.43 | 220,150 | 100 |
| =95 | BENWestern Africa | 0.42 | 1,013,381 | 100 |
| =95 | GMBWestern Africa | 0.42 | 236,005 | 100 |
| =95 | MDAEastern Europe | 0.42 | 1,066,208 | 100 |
| =95 | MKDSouthern Europe | 0.42 | 548,095 | 100 |
| 99 | LTUNorthern Europe | 0.41 | 1,273,015 | 100 |
| 100 | TURWestern Asia | 0.40 | 15,869,440 | 100 |
| 101 | ESTNorthern Europe | 0.39 | 427,975 | 100 |
| =102 | BFAWestern Africa | 0.38 | 3,955,239 | 100 |
| =102 | CMRMiddle Africa | 0.38 | 3,473,300 | 100 |
| =102 | HUNEastern Europe | 0.38 | 2,335,234 | 100 |
| 105 | AZEWestern Asia | 0.37 | 1,660,795 | 100 |
| =106 | ARMWestern Asia | 0.36 | 431,992 | 100 |
| =106 | PNGMelanesia | 0.36 | 350,028 | 100 |
| =108 | HRVSouthern Europe | 0.35 | 815,761 | 100 |
| =108 | MEXCentral America | 0.35 | 37,609,188 | 100 |
| =108 | OMNWestern Asia | 0.35 | 380,150 | 100 |
| =111 | ARGSouth America | 0.34 | 43,279,921 | 100 |
| =111 | CAFMiddle Africa | 0.34 | 1,708,860 | 100 |
| =111 | COMEastern Africa | 0.34 | 41,370 | 100 |
| =111 | KENEastern Africa | 0.34 | 9,167,843 | 100 |
| 115 | USANorthern America | 0.32 | 133,410,175 | 100 |
| 116 | SWZSouthern Africa | 0.31 | 378,739 | 100 |
| =117 | BGREastern Europe | 0.30 | 1,831,210 | 100 |
| =117 | MYSSouth-eastern Asia | 0.30 | 2,127,164 | 100 |
| =117 | UGAEastern Africa | 0.30 | 3,661,030 | 100 |
| =120 | GEOWestern Asia | 0.29 | 895,435 | 100 |
| =120 | GUYSouth America | 0.29 | 208,800 | 100 |
| =120 | SENWestern Africa | 0.29 | 2,603,630 | 100 |
| =123 | GRCSouthern Europe | 0.28 | 2,564,201 | 100 |
| =123 | PERSouth America | 0.28 | 6,326,124 | 100 |
| =123 | RWAEastern Africa | 0.28 | 437,904 | 100 |
| =123 | SLBMelanesia | 0.28 | 20,265 | 100 |
| =127 | CANNorthern America | 0.27 | 16,346,525 | 100 |
| =127 | CHLSouth America | 0.27 | 4,105,941 | 100 |
| =127 | LSOSouthern Africa | 0.27 | 624,407 | 100 |
| =130 | IRNSouthern Asia | 0.26 | 16,462,440 | 100 |
| =130 | TJKCentral Asia | 0.26 | 1,161,370 | 100 |
| =130 | TZAEastern Africa | 0.26 | 8,395,890 | 100 |
| =133 | BIHSouthern Europe | 0.25 | 542,530 | 100 |
| =133 | IRQWestern Asia | 0.25 | 2,368,598 | 100 |
| 135 | LVANorthern Europe | 0.24 | 597,520 | 100 |
| 136 | NGAWestern Africa | 0.23 | 14,123,119 | 100 |
| 137 | RUSEastern Europe | 0.22 | 47,984,060 | 100 |
| 138 | SOMEastern Africa | 0.21 | 9,245,885 | 100 |
| =139 | TUNNorthern Africa | 0.20 | 1,886,520 | 100 |
| =139 | ZWEEastern Africa | 0.20 | 2,686,035 | 100 |
| 141 | DJIEastern Africa | 0.18 | 250,315 | 100 |
| =142 | BOLSouth America | 0.17 | 6,178,392 | 100 |
| =142 | BDIEastern Africa | 0.17 | 343,641 | 100 |
| =142 | KGZCentral Asia | 0.17 | 1,715,930 | 100 |
| =142 | STPMiddle Africa | 0.17 | 5,403 | 100 |
| =142 | SLEWestern Africa | 0.17 | 468,800 | 100 |
| =142 | UZBCentral Asia | 0.17 | 4,783,470 | 100 |
| =148 | ERIEastern Africa | 0.16 | 1,191,916 | 100 |
| =148 | MDGEastern Africa | 0.16 | 5,822,348 | 100 |
| =148 | MWIEastern Africa | 0.16 | 650,308 | 100 |
| =148 | MARNorthern Africa | 0.16 | 5,058,270 | 100 |
| 152 | SYRWestern Asia | 0.15 | 2,046,440 | 100 |
| =153 | TCDMiddle Africa | 0.14 | 7,007,861 | 100 |
| =153 | NERWestern Africa | 0.14 | 4,815,496 | 100 |
| =153 | ZAFSouthern Africa | 0.14 | 13,825,204 | 100 |
| =156 | KIRMicronesia | 0.13 | 4,700 | 100 |
| =156 | TGOWestern Africa | 0.13 | 420,770 | 100 |
| 158 | MLIWestern Africa | 0.12 | 4,351,636 | 100 |
| =159 | AFGSouthern Asia | 0.10 | 3,670,800 | 100 |
| =159 | DZANorthern Africa | 0.10 | 4,092,287 | 100 |
| =159 | GNQMiddle Africa | 0.10 | 10,570 | 100 |
| =159 | GHAWestern Africa | 0.10 | 1,231,996 | 100 |
| =159 | LBRWestern Africa | 0.10 | 120,000 | 100 |
| =159 | YEMWestern Asia | 0.10 | 2,463,153 | 100 |
| =165 | GINWestern Africa | 0.09 | 1,238,655 | 100 |
| =165 | ISLNorthern Europe | 0.09 | 177,921 | 100 |
| =167 | AUSAustralia and New Zealand | 0.08 | 38,178,140 | 100 |
| =167 | ZMBEastern Africa | 0.08 | 1,632,540 | 100 |
| 169 | LBYNorthern Africa | 0.07 | 1,021,000 | 100 |
| =170 | CIVWestern Africa | 0.06 | 1,184,850 | 100 |
| =170 | CODMiddle Africa | 0.06 | 1,597,937 | 100 |
| =170 | MRTWestern Africa | 0.06 | 2,301,725 | 100 |
| =173 | BWASouthern Africa | 0.05 | 1,365,800 | 100 |
| =173 | GABMiddle Africa | 0.05 | 108,750 | 100 |
| =173 | KAZCentral Asia | 0.05 | 11,296,910 | 100 |
| =173 | MNGEastern Asia | 0.05 | 5,490,284 | 100 |
| =177 | AGOMiddle Africa | 0.04 | 1,892,885 | 100 |
| =177 | MOZEastern Africa | 0.04 | 1,330,800 | 100 |
| =177 | NAMSouthern Africa | 0.04 | 1,530,377 | 100 |
| =177 | TKMCentral Asia | 0.04 | 1,427,300 | 100 |
| 181 | SAUWestern Asia | 0.02 | 2,530,240 | 100 |
| 182 | COGMiddle Africa | 0.01 | 103,735 | 100 |
02In 1994
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore16.10
- 2
Hong Kong8.24
- 3
Netherlands4.56
- 4
Taiwan4.10
- 5
Malta3.59
Lowest
- 182
Republic of the Congo0.01
- 181
Saudi Arabia0.02
- 177
Turkmenistanshared0.04
- 177
Namibiashared0.04
- 177
Mozambiqueshared0.04
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
031993 → 1994
Since 1993
What changed between 1993 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 129values changed, of 182 in both
- 74 · 55rose · fell
- 53unchanged
Rose most
Singapore15.25 → 16.10+0.85
Kuwait1.39 → 1.69+0.30
Seychelles2.08 → 2.36+0.28
Albania0.77 → 0.95+0.18
Qatar1.58 → 1.74+0.16
Fell most
Hong Kong8.56 → 8.24−0.32
Cabo Verde1.08 → 0.87−0.21
Trinidad and Tobago2.31 → 2.11−0.20
Suriname1.37 → 1.18−0.19
Latvia0.39 → 0.24−0.15
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 1994.
108 distinct values among 182
Values are stored exactly as published, to 2 decimals. 6 countries share 0.17. 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 182 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
182 rows · 7.0 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download livestock-density-1994-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) (1994). Livestock Density, 1994 [data set], describing 1994. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/1994
0663 held
Other years
‹ The year before
Livestock Density, 1993182 countries
The year after ›
Livestock Density, 1995182 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, 1994: questions and answers
Which country has the highest livestock density in Livestock Density, 1994?
Singapore, at 16.10, of the 182 countries in the file.
What year does Livestock Density, 1994 describe?
1994.
How many countries does Livestock Density, 1994 cover?
182.
Where can I download Livestock Density, 1994?
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, 1994 the newest?
No. The newest held here is Livestock Density, 2023.