Data for 2004
Livestock Density, 2004
2004, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 2004 covers 184 countries on 3 measures. Singapore is highest, at 33.99; Republic of the Congo is lowest, at 0.01. The middle country reads 0.47. Against 2003, 121 values changed (75 up, 46 down), the same countries are covered.
Livestock Density · Data for 2004
HighestSingapore
33.99LowestRepublic 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, 2004, 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 184 countries · select a heading to sort
| derived | ||||
|---|---|---|---|---|
| 1 | SGPSouth-eastern Asia | 33.99 | 27,190 | 100 |
| 2 | BRNSouth-eastern Asia | 10.23 | 133,025 | 100 |
| 3 | HKGEastern Asia | 8.53 | 59,677 | 100 |
| 4 | TTOCaribbean | 5.83 | 320,568 | 100 |
| 5 | MLTSouthern Europe | 3.85 | 38,481 | 100 |
| 6 | NLDWestern Europe | 3.72 | 7,259,637 | 100 |
| 7 | TWNEastern Asia | 3.53 | 2,947,709 | 100 |
| 8 | BELWestern Europe | 3.20 | 4,457,054 | 100 |
| 9 | BRBCaribbean | 3.19 | 51,023 | 100 |
| 10 | FSMMicronesia | 3.10 | 17,068 | 100 |
| 11 | BHSCaribbean | 3.05 | 33,550 | 100 |
| 12 | EGYNorthern Africa | 2.61 | 9,087,790 | 100 |
| 13 | KOREastern Asia | 2.52 | 4,765,209 | 100 |
| 14 | KWTWestern Asia | 2.45 | 367,613 | 100 |
| 15 | BHRWestern Asia | 2.15 | 20,424 | 100 |
| 16 | ATGCaribbean | 1.90 | 17,059 | 100 |
| 17 | DNKNorthern Europe | 1.89 | 4,990,437 | 100 |
| 18 | TUVPolynesia | 1.85 | 3,150 | 100 |
| 19 | JPNEastern Asia | 1.82 | 9,275,550 | 100 |
| 20 | IRLNorthern Europe | 1.76 | 7,581,015 | 100 |
| 21 | BGDSouthern Asia | 1.70 | 15,882,176 | 100 |
| 22 | QATWestern Asia | 1.68 | 109,280 | 100 |
| 23 | SYCEastern Africa | 1.66 | 6,645 | 100 |
| 24 | WSMPolynesia | 1.59 | 68,170 | 100 |
| 25 | NPLSouthern Asia | 1.58 | 6,657,206 | 100 |
| 26 | LCACaribbean | 1.53 | 17,026 | 100 |
| 27 | NRUMicronesia | 1.52 | 610 | 100 |
| =28 | CYPWestern Asia | 1.51 | 236,195 | 100 |
| =28 | LUXWestern Europe | 1.51 | 193,506 | 100 |
| 30 | DOMCaribbean | 1.46 | 3,401,319 | 100 |
| 31 | VNMSouth-eastern Asia | 1.37 | 13,437,576 | 100 |
| 32 | NORNorthern Europe | 1.35 | 1,408,424 | 100 |
| 33 | CHEWestern Europe | 1.25 | 1,947,617 | 100 |
| 34 | VCTCaribbean | 1.23 | 8,610 | 100 |
| =35 | DEUWestern Europe | 1.18 | 20,018,493 | 100 |
| =35 | ISRWestern Asia | 1.18 | 604,160 | 100 |
| 37 | LAOSouth-eastern Asia | 1.17 | 2,285,020 | 100 |
| 38 | AREWestern Asia | 1.16 | 641,652 | 100 |
| 39 | TONPolynesia | 1.15 | 34,610 | 100 |
| 40 | MUSEastern Africa | 1.14 | 111,436 | 100 |
| 41 | SURSouth America | 1.10 | 85,322 | 100 |
| 42 | NZLAustralia and New Zealand | 1.09 | 12,915,084 | 100 |
| =43 | HTICaribbean | 1.08 | 1,806,950 | 100 |
| =43 | MMRSouth-eastern Asia | 1.08 | 11,935,564 | 100 |
| 45 | PAKSouthern Asia | 1.07 | 38,573,450 | 100 |
| 46 | AUTWestern Europe | 1.00 | 2,871,643 | 100 |
| 47 | JAMCaribbean | 0.98 | 462,725 | 100 |
| 48 | SVNSouthern Europe | 0.96 | 474,772 | 100 |
| =49 | INDSouthern Asia | 0.95 | 171,716,960 | 100 |
| =49 | GBRNorthern Europe | 0.95 | 16,266,560 | 100 |
| 51 | SLVCentral America | 0.91 | 1,168,298 | 100 |
| 52 | FJIMelanesia | 0.90 | 312,300 | 100 |
| 53 | TLSSouth-eastern Asia | 0.87 | 291,369 | 100 |
| 54 | KNACaribbean | 0.85 | 6,820 | 100 |
| 55 | FRAWestern Europe | 0.84 | 24,635,543 | 100 |
| 56 | CPVWestern Africa | 0.83 | 63,199 | 100 |
| 57 | LBNWestern Asia | 0.81 | 519,622 | 100 |
| 58 | PHLSouth-eastern Asia | 0.80 | 9,124,144 | 100 |
| 59 | GRDCaribbean | 0.78 | 9,418 | 100 |
| =60 | ECUSouth America | 0.77 | 5,831,302 | 100 |
| =60 | ETHEastern Africa | 0.77 | 25,441,989 | 100 |
| =62 | ALBSouthern Europe | 0.74 | 835,629 | 100 |
| =62 | BRASouth America | 0.74 | 168,558,619 | 100 |
| 64 | HNDCentral America | 0.73 | 2,305,220 | 100 |
| 65 | SWENorthern Europe | 0.71 | 2,224,102 | 100 |
| =66 | HRVSouthern Europe | 0.70 | 820,257 | 100 |
| =66 | ITASouthern Europe | 0.70 | 10,386,308 | 100 |
| 68 | PRKEastern Asia | 0.67 | 1,691,390 | 100 |
| 69 | URYSouth America | 0.66 | 9,824,405 | 100 |
| 70 | VENSouth America | 0.65 | 13,995,955 | 100 |
| 71 | PRTSouthern Europe | 0.64 | 2,491,648 | 100 |
| =72 | KHMSouth-eastern Asia | 0.62 | 3,217,046 | 100 |
| =72 | GTMCentral America | 0.62 | 2,914,400 | 100 |
| 74 | CRICentral America | 0.61 | 1,107,000 | 100 |
| =75 | FINNorthern Europe | 0.60 | 1,353,895 | 100 |
| =75 | GMBWestern Africa | 0.60 | 285,420 | 100 |
| =75 | PANCentral America | 0.60 | 1,329,620 | 100 |
| 78 | GNBWestern Africa | 0.59 | 411,895 | 100 |
| =79 | DMACaribbean | 0.58 | 12,670 | 100 |
| =79 | ESPSouthern Europe | 0.58 | 16,813,206 | 100 |
| =79 | VUTMelanesia | 0.58 | 105,815 | 100 |
| =82 | CUBCaribbean | 0.55 | 3,599,481 | 100 |
| =82 | POLEastern Europe | 0.55 | 8,915,091 | 100 |
| =84 | BFAWestern Africa | 0.54 | 6,396,974 | 100 |
| =84 | JORWestern Asia | 0.54 | 560,628 | 100 |
| =84 | NICCentral America | 0.54 | 2,827,340 | 100 |
| 87 | CZEEastern Europe | 0.53 | 1,908,310 | 100 |
| =88 | COLSouth America | 0.51 | 21,719,198 | 100 |
| =88 | IDNSouth-eastern Asia | 0.51 | 23,861,319 | 100 |
| 90 | CHNEastern Asia | 0.50 | 261,024,300 | 100 |
| 91 | AZEWestern Asia | 0.49 | 2,345,857 | 100 |
| 92 | CMRMiddle Africa | 0.48 | 4,397,443 | 100 |
| =93 | CAFMiddle Africa | 0.46 | 2,267,500 | 100 |
| =93 | SVKEastern Europe | 0.46 | 896,081 | 100 |
| 95 | BLZCentral America | 0.44 | 67,164 | 100 |
| =96 | GUYSouth America | 0.43 | 309,050 | 100 |
| =96 | MYSSouth-eastern Asia | 0.43 | 3,093,027 | 100 |
| =96 | PRYSouth America | 0.43 | 7,597,576 | 100 |
| =99 | GEOWestern Asia | 0.41 | 1,019,918 | 100 |
| =99 | PNGMelanesia | 0.41 | 455,900 | 100 |
| =101 | BLREastern Europe | 0.40 | 3,547,990 | 100 |
| =101 | BENWestern Africa | 0.40 | 1,382,190 | 100 |
| =101 | RWAEastern Africa | 0.40 | 761,004 | 100 |
| =101 | THASouth-eastern Asia | 0.40 | 9,014,281 | 100 |
| 105 | LKASouthern Asia | 0.39 | 900,140 | 100 |
| 106 | HUNEastern Europe | 0.38 | 2,226,948 | 100 |
| =107 | BTNSouthern Asia | 0.37 | 214,581 | 100 |
| =107 | KENEastern Africa | 0.37 | 10,051,555 | 100 |
| =107 | ROUEastern Europe | 0.37 | 5,200,160 | 100 |
| =107 | UGAEastern Africa | 0.37 | 4,904,920 | 100 |
| =111 | MEXCentral America | 0.36 | 38,309,993 | 100 |
| =111 | SENWestern Africa | 0.36 | 3,096,818 | 100 |
| =113 | ARGSouth America | 0.35 | 45,584,864 | 100 |
| =113 | ESTNorthern Europe | 0.35 | 266,970 | 100 |
| =113 | OMNWestern Asia | 0.35 | 516,950 | 100 |
| =116 | LTUNorthern Europe | 0.34 | 876,018 | 100 |
| =116 | PERSouth America | 0.34 | 7,978,993 | 100 |
| =118 | CANNorthern America | 0.33 | 20,298,780 | 100 |
| =118 | TURWestern Asia | 0.33 | 13,462,176 | 100 |
| =120 | ARMWestern Asia | 0.32 | 482,934 | 100 |
| =120 | COMEastern Africa | 0.32 | 43,200 | 100 |
| =120 | GRCSouthern Europe | 0.32 | 2,602,634 | 100 |
| =120 | IRNSouthern Asia | 0.32 | 20,383,700 | 100 |
| =120 | USANorthern America | 0.32 | 132,979,975 | 100 |
| =125 | MKDSouthern Europe | 0.31 | 395,894 | 100 |
| =125 | TZAEastern Africa | 0.31 | 10,812,659 | 100 |
| 127 | SWZSouthern Africa | 0.30 | 369,217 | 100 |
| =128 | BIHSouthern Europe | 0.29 | 626,034 | 100 |
| =128 | NGAWestern Africa | 0.29 | 18,946,213 | 100 |
| 130 | CHLSouth America | 0.28 | 4,436,647 | 100 |
| =131 | LSOSouthern Africa | 0.26 | 601,191 | 100 |
| =131 | SLBMelanesia | 0.26 | 21,298 | 100 |
| =133 | TCDMiddle Africa | 0.25 | 12,307,755 | 100 |
| =133 | IRQWestern Asia | 0.25 | 2,161,750 | 100 |
| =133 | MDAEastern Europe | 0.25 | 638,308 | 100 |
| =133 | STPMiddle Africa | 0.25 | 8,834 | 100 |
| =133 | TJKCentral Asia | 0.25 | 1,140,080 | 100 |
| =138 | BGREastern Europe | 0.24 | 1,263,744 | 100 |
| =138 | LVANorthern Europe | 0.24 | 393,720 | 100 |
| =138 | SOMEastern Africa | 0.24 | 10,632,145 | 100 |
| =138 | TUNNorthern Africa | 0.24 | 2,325,245 | 100 |
| 142 | BOLSouth America | 0.22 | 7,978,165 | 100 |
| =143 | ERIEastern Africa | 0.21 | 1,604,854 | 100 |
| =143 | KIRMicronesia | 0.21 | 7,040 | 100 |
| =143 | MARNorthern Africa | 0.21 | 6,452,530 | 100 |
| =143 | SYRWestern Asia | 0.21 | 2,963,511 | 100 |
| =143 | ZWEEastern Africa | 0.21 | 3,404,476 | 100 |
| =148 | BDIEastern Africa | 0.20 | 365,236 | 100 |
| =148 | TGOWestern Africa | 0.20 | 690,715 | 100 |
| =148 | UKREastern Europe | 0.20 | 8,284,630 | 100 |
| =151 | NERWestern Africa | 0.19 | 7,187,542 | 100 |
| =151 | UZBCentral Asia | 0.19 | 4,941,690 | 100 |
| 153 | DJIEastern Africa | 0.18 | 300,840 | 100 |
| =154 | MWIEastern Africa | 0.17 | 840,745 | 100 |
| =154 | MLIWestern Africa | 0.17 | 6,798,050 | 100 |
| =156 | GHAWestern Africa | 0.15 | 1,743,810 | 100 |
| =156 | GINWestern Africa | 0.15 | 2,186,857 | 100 |
| =156 | ZAFSouthern Africa | 0.15 | 14,670,700 | 100 |
| =156 | YEMWestern Asia | 0.15 | 3,616,303 | 100 |
| 160 | AFGSouthern Asia | 0.14 | 5,382,120 | 100 |
| =161 | DZANorthern Africa | 0.12 | 4,882,412 | 100 |
| =161 | KGZCentral Asia | 0.12 | 1,284,813 | 100 |
| =161 | RUSEastern Europe | 0.12 | 25,174,875 | 100 |
| =164 | GNQMiddle Africa | 0.11 | 11,645 | 100 |
| =164 | MDGEastern Africa | 0.11 | 4,647,775 | 100 |
| 166 | SLEWestern Africa | 0.10 | 383,796 | 100 |
| =167 | AUSAustralia and New Zealand | 0.09 | 36,745,677 | 100 |
| =167 | ISLNorthern Europe | 0.09 | 161,536 | 100 |
| =167 | LBRWestern Africa | 0.09 | 137,000 | 100 |
| =170 | MRTWestern Africa | 0.08 | 3,359,700 | 100 |
| =170 | TKMCentral Asia | 0.08 | 2,706,250 | 100 |
| =170 | ZMBEastern Africa | 0.08 | 1,746,870 | 100 |
| =173 | CIVWestern Africa | 0.07 | 1,340,199 | 100 |
| =173 | LBYNorthern Africa | 0.07 | 1,150,500 | 100 |
| =175 | AGOMiddle Africa | 0.06 | 2,517,100 | 100 |
| =175 | GABMiddle Africa | 0.06 | 119,400 | 100 |
| =177 | BWASouthern Africa | 0.05 | 1,332,690 | 100 |
| =177 | CODMiddle Africa | 0.05 | 1,259,160 | 100 |
| =179 | MNGEastern Asia | 0.04 | 4,799,845 | 100 |
| =179 | MOZEastern Africa | 0.04 | 1,524,011 | 100 |
| =179 | NAMSouthern Africa | 0.04 | 1,744,311 | 100 |
| 182 | KAZCentral Asia | 0.03 | 5,450,305 | 100 |
| 183 | SAUWestern Asia | 0.02 | 3,245,245 | 100 |
| 184 | COGMiddle Africa | 0.01 | 149,853 | 100 |
02In 2004
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore33.99
- 2
Brunei10.23
- 3
Hong Kong8.53
- 4
Trinidad and Tobago5.83
- 5
Malta3.85
Lowest
- 184
Republic of the Congo0.01
- 183
Saudi Arabia0.02
- 182
Kazakhstan0.03
- 179
Namibiashared0.04
- 179
Mozambiqueshared0.04
Neither end is better. The values describe a shape, not a score. The middle country reads 0.47. “Shared” marks a value another country also holds.
Each measure’s ends
032003 → 2004
Since 2003
What changed between 2003 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 121values changed, of 184 in both
- 75 · 46rose · fell
- 63unchanged
Rose most
Brunei9.27 → 10.23+0.96
Trinidad and Tobago5.22 → 5.83+0.61
Barbados2.69 → 3.19+0.50
Saint Lucia1.32 → 1.53+0.21
Dominican Republic1.28 → 1.46+0.18
Fell most
Singapore35.24 → 33.99−1.25
Seychelles2.06 → 1.66−0.40
Malta4.17 → 3.85−0.32
Hong Kong8.70 → 8.53−0.17
Kuwait2.62 → 2.45−0.17
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 2004.
116 distinct values among 184
Values are stored exactly as published, to 2 decimals. 5 countries share 0.32. 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 184 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
184 rows · 7.1 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download livestock-density-2004-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) (2004). Livestock Density, 2004 [data set], describing 2004. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/2004
0663 held
Other years
‹ The year before
Livestock Density, 2003184 countries
The year after ›
Livestock Density, 2005184 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, 2004: questions and answers
Which country has the highest livestock density in Livestock Density, 2004?
Singapore, at 33.99, of the 184 countries in the file.
What year does Livestock Density, 2004 describe?
2004.
How many countries does Livestock Density, 2004 cover?
184.
Where can I download Livestock Density, 2004?
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, 2004 the newest?
No. The newest held here is Livestock Density, 2023.