Data for 2008
Livestock Density, 2008
2008, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 2008 covers 186 countries on 3 measures. Singapore is highest, at 43.13; 2 countries share the lowest reading, 0.02. The middle country reads 0.53. Against 2007, 136 values changed (88 up, 48 down), the same countries are covered.
Livestock Density · Data for 2008
HighestSingapore
43.13Lowest2 countries share it
0.02Shaded 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, 2008, 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 186 countries · select a heading to sort
| derived | ||||
|---|---|---|---|---|
| 1 | SGPSouth-eastern Asia | 43.13 | 30,192 | 100 |
| 2 | BRNSouth-eastern Asia | 11.87 | 147,206 | 100 |
| 3 | HKGEastern Asia | 8.22 | 49,297 | 100 |
| 4 | TTOCaribbean | 6.25 | 337,426 | 100 |
| 5 | MLTSouthern Europe | 4.50 | 41,852 | 100 |
| 6 | NLDWestern Europe | 3.99 | 7,693,451 | 100 |
| 7 | TWNEastern Asia | 3.41 | 2,803,119 | 100 |
| =8 | BRBCaribbean | 3.16 | 50,613 | 100 |
| =8 | FSMMicronesia | 3.16 | 17,394 | 100 |
| 10 | BELWestern Europe | 3.13 | 4,278,427 | 100 |
| 11 | BHSCaribbean | 3.05 | 33,550 | 100 |
| 12 | KWTWestern Asia | 2.98 | 450,598 | 100 |
| 13 | KOREastern Asia | 2.96 | 5,384,235 | 100 |
| 14 | EGYNorthern Africa | 2.70 | 9,546,883 | 100 |
| 15 | SYCEastern Africa | 2.10 | 6,305 | 100 |
| 16 | BHRWestern Asia | 2.08 | 18,880 | 100 |
| =17 | ATGCaribbean | 1.93 | 17,335 | 100 |
| =17 | CYPWestern Asia | 1.93 | 223,076 | 100 |
| 19 | JPNEastern Asia | 1.86 | 9,277,660 | 100 |
| =20 | BGDSouthern Asia | 1.80 | 16,638,700 | 100 |
| =20 | DNKNorthern Europe | 1.80 | 4,792,089 | 100 |
| 22 | QATWestern Asia | 1.79 | 119,520 | 100 |
| =23 | LCACaribbean | 1.78 | 17,649 | 100 |
| =23 | TUVPolynesia | 1.78 | 3,204 | 100 |
| 25 | NPLSouthern Asia | 1.72 | 7,137,478 | 100 |
| 26 | DOMCaribbean | 1.71 | 3,882,190 | 100 |
| 27 | WSMPolynesia | 1.69 | 62,693 | 100 |
| 28 | NRUMicronesia | 1.63 | 650 | 100 |
| 29 | MUSEastern Africa | 1.58 | 144,203 | 100 |
| 30 | IRLNorthern Europe | 1.57 | 7,283,145 | 100 |
| 31 | LUXWestern Europe | 1.54 | 201,336 | 100 |
| 32 | KNACaribbean | 1.53 | 7,800 | 100 |
| 33 | AREWestern Asia | 1.50 | 807,135 | 100 |
| =34 | ISRWestern Asia | 1.44 | 741,210 | 100 |
| =34 | VNMSouth-eastern Asia | 1.44 | 14,781,395 | 100 |
| 36 | VCTCaribbean | 1.41 | 9,880 | 100 |
| 37 | NORNorthern Europe | 1.36 | 1,394,459 | 100 |
| 38 | PAKSouthern Asia | 1.32 | 46,624,200 | 100 |
| 39 | CHEWestern Europe | 1.31 | 2,014,286 | 100 |
| 40 | SURSouth America | 1.24 | 87,834 | 100 |
| 41 | LAOSouth-eastern Asia | 1.22 | 2,564,790 | 100 |
| 42 | DEUWestern Europe | 1.19 | 20,105,057 | 100 |
| 43 | MMRSouth-eastern Asia | 1.14 | 13,991,349 | 100 |
| 44 | TONPolynesia | 1.13 | 35,055 | 100 |
| 45 | GRDCaribbean | 1.12 | 10,050 | 100 |
| 46 | NZLAustralia and New Zealand | 1.10 | 12,481,251 | 100 |
| 47 | SLVCentral America | 1.05 | 1,293,998 | 100 |
| =48 | AUTWestern Europe | 1.02 | 2,855,881 | 100 |
| =48 | HTICaribbean | 1.02 | 1,813,550 | 100 |
| 50 | INDSouthern Asia | 1.01 | 181,918,197 | 100 |
| 51 | TLSSouth-eastern Asia | 0.98 | 331,278 | 100 |
| 52 | ETHEastern Africa | 0.96 | 33,127,821 | 100 |
| 53 | FJIMelanesia | 0.95 | 309,836 | 100 |
| 54 | GBRNorthern Europe | 0.87 | 15,429,395 | 100 |
| 55 | FRAWestern Europe | 0.86 | 24,958,352 | 100 |
| 56 | LBNWestern Asia | 0.85 | 566,160 | 100 |
| 57 | JAMCaribbean | 0.80 | 359,370 | 100 |
| =58 | PHLSouth-eastern Asia | 0.78 | 9,388,618 | 100 |
| =58 | SVNSouthern Europe | 0.78 | 480,462 | 100 |
| 60 | HNDCentral America | 0.76 | 2,434,048 | 100 |
| 61 | ECUSouth America | 0.75 | 5,588,811 | 100 |
| =62 | BRASouth America | 0.74 | 170,360,924 | 100 |
| =62 | CRICentral America | 0.74 | 1,323,340 | 100 |
| =62 | GTMCentral America | 0.74 | 3,268,850 | 100 |
| =65 | ITASouthern Europe | 0.72 | 10,466,054 | 100 |
| =65 | VUTMelanesia | 0.72 | 135,542 | 100 |
| =67 | JORWestern Asia | 0.70 | 676,085 | 100 |
| =67 | SWENorthern Europe | 0.70 | 2,144,033 | 100 |
| =67 | URYSouth America | 0.70 | 10,300,595 | 100 |
| =70 | PRTSouthern Europe | 0.68 | 2,545,946 | 100 |
| =70 | VENSouth America | 0.68 | 14,667,897 | 100 |
| 72 | CPVWestern Africa | 0.67 | 52,541 | 100 |
| 73 | KHMSouth-eastern Asia | 0.66 | 3,511,297 | 100 |
| =74 | GNBWestern Africa | 0.65 | 475,888 | 100 |
| =74 | PANCentral America | 0.65 | 1,444,496 | 100 |
| 76 | ALBSouthern Europe | 0.63 | 740,884 | 100 |
| 77 | KENEastern Africa | 0.62 | 16,687,166 | 100 |
| 78 | FINNorthern Europe | 0.59 | 1,344,432 | 100 |
| =79 | BFAWestern Africa | 0.58 | 7,079,814 | 100 |
| =79 | DMACaribbean | 0.58 | 12,730 | 100 |
| =79 | NICCentral America | 0.58 | 2,986,890 | 100 |
| =79 | ESPSouthern Europe | 0.58 | 16,261,878 | 100 |
| =83 | COLSouth America | 0.56 | 23,714,626 | 100 |
| =83 | CUBCaribbean | 0.56 | 3,706,010 | 100 |
| =83 | POLEastern Europe | 0.56 | 8,710,396 | 100 |
| =83 | RWAEastern Africa | 0.56 | 1,060,750 | 100 |
| =83 | UGAEastern Africa | 0.56 | 7,842,116 | 100 |
| =88 | AZEWestern Asia | 0.55 | 2,607,168 | 100 |
| =88 | GMBWestern Africa | 0.55 | 312,764 | 100 |
| =88 | PRKEastern Asia | 0.55 | 1,466,380 | 100 |
| =91 | BLZCentral America | 0.54 | 81,735 | 100 |
| =91 | HRVSouthern Europe | 0.54 | 699,419 | 100 |
| 93 | IDNSouth-eastern Asia | 0.53 | 26,292,625 | 100 |
| =94 | CAFMiddle Africa | 0.52 | 2,589,390 | 100 |
| =94 | SRBSouthern Europe | 0.52 | 1,886,768 | 100 |
| 96 | CHNEastern Asia | 0.51 | 267,816,352 | 100 |
| 97 | CZEEastern Europe | 0.49 | 1,748,013 | 100 |
| 98 | MYSSouth-eastern Asia | 0.45 | 3,195,758 | 100 |
| =99 | BTNSouthern Asia | 0.44 | 227,444 | 100 |
| =99 | CMRMiddle Africa | 0.44 | 4,111,790 | 100 |
| =99 | IRNSouthern Asia | 0.44 | 20,501,820 | 100 |
| =102 | BLREastern Europe | 0.43 | 3,816,015 | 100 |
| =102 | PRYSouth America | 0.43 | 8,034,206 | 100 |
| =102 | THASouth-eastern Asia | 0.43 | 9,741,745 | 100 |
| =105 | GUYSouth America | 0.42 | 301,800 | 100 |
| =105 | ROUEastern Europe | 0.42 | 5,661,467 | 100 |
| 107 | OMNWestern Asia | 0.40 | 575,710 | 100 |
| 108 | BENWestern Africa | 0.39 | 1,402,860 | 100 |
| =109 | MEXCentral America | 0.38 | 39,452,112 | 100 |
| =109 | PNGMelanesia | 0.38 | 470,700 | 100 |
| =111 | ARGSouth America | 0.37 | 46,411,484 | 100 |
| =111 | SENWestern Africa | 0.37 | 3,395,909 | 100 |
| =111 | SVKEastern Europe | 0.37 | 707,230 | 100 |
| =111 | LKASouthern Asia | 0.37 | 957,964 | 100 |
| 115 | PERSouth America | 0.36 | 8,521,409 | 100 |
| 116 | TURWestern Asia | 0.35 | 13,668,273 | 100 |
| =117 | COMEastern Africa | 0.34 | 45,800 | 100 |
| =117 | GRCSouthern Europe | 0.34 | 2,573,340 | 100 |
| =119 | GEOWestern Asia | 0.33 | 825,635 | 100 |
| =119 | IRQWestern Asia | 0.33 | 2,721,733 | 100 |
| =119 | MKDSouthern Europe | 0.33 | 351,581 | 100 |
| =119 | TJKCentral Asia | 0.33 | 1,579,912 | 100 |
| =119 | USANorthern America | 0.33 | 136,614,556 | 100 |
| =124 | BIHSouthern Europe | 0.32 | 686,561 | 100 |
| =124 | CANNorthern America | 0.32 | 19,024,825 | 100 |
| =124 | TCDMiddle Africa | 0.32 | 15,506,094 | 100 |
| =124 | HUNEastern Europe | 0.32 | 1,859,418 | 100 |
| =124 | LTUNorthern Europe | 0.32 | 843,105 | 100 |
| =129 | NGAWestern Africa | 0.31 | 20,579,543 | 100 |
| =129 | TZAEastern Africa | 0.31 | 11,596,600 | 100 |
| 131 | SWZSouthern Africa | 0.30 | 363,607 | 100 |
| =132 | ARMWestern Asia | 0.29 | 512,228 | 100 |
| =132 | CHLSouth America | 0.29 | 4,490,093 | 100 |
| =132 | ESTNorthern Europe | 0.29 | 264,715 | 100 |
| =132 | STPMiddle Africa | 0.29 | 9,704 | 100 |
| =136 | BDIEastern Africa | 0.27 | 487,041 | 100 |
| =136 | LSOSouthern Africa | 0.27 | 632,869 | 100 |
| =138 | BOLSouth America | 0.25 | 9,372,373 | 100 |
| =138 | TUNNorthern Africa | 0.25 | 2,435,435 | 100 |
| =140 | KIRMicronesia | 0.24 | 8,020 | 100 |
| =140 | UZBCentral Asia | 0.24 | 6,279,995 | 100 |
| 142 | SYRWestern Asia | 0.23 | 3,173,131 | 100 |
| =143 | BGREastern Europe | 0.22 | 1,099,267 | 100 |
| =143 | ERIEastern Africa | 0.22 | 1,663,790 | 100 |
| =143 | LVANorthern Europe | 0.22 | 405,530 | 100 |
| =143 | MWIEastern Africa | 0.22 | 1,204,803 | 100 |
| =143 | MARNorthern Africa | 0.22 | 6,687,310 | 100 |
| =143 | SLBMelanesia | 0.22 | 22,198 | 100 |
| =143 | SOMEastern Africa | 0.22 | 9,675,065 | 100 |
| =143 | TGOWestern Africa | 0.22 | 793,956 | 100 |
| =151 | MDAEastern Europe | 0.21 | 508,955 | 100 |
| =151 | ZWEEastern Africa | 0.21 | 3,361,218 | 100 |
| =153 | GINWestern Africa | 0.19 | 2,690,467 | 100 |
| =153 | MLIWestern Africa | 0.19 | 7,787,459 | 100 |
| =153 | MNESouthern Europe | 0.19 | 96,717 | 100 |
| =153 | NERWestern Africa | 0.19 | 8,502,144 | 100 |
| =157 | DJIEastern Africa | 0.17 | 296,985 | 100 |
| =157 | GHAWestern Africa | 0.17 | 2,009,304 | 100 |
| =157 | UKREastern Europe | 0.17 | 7,034,750 | 100 |
| =157 | YEMWestern Asia | 0.17 | 4,039,282 | 100 |
| =161 | AFGSouthern Asia | 0.16 | 5,958,940 | 100 |
| =161 | SLEWestern Africa | 0.16 | 577,082 | 100 |
| =161 | ZAFSouthern Africa | 0.16 | 15,168,544 | 100 |
| =164 | KGZCentral Asia | 0.14 | 1,453,063 | 100 |
| =164 | MDGEastern Africa | 0.14 | 5,595,307 | 100 |
| =166 | DZANorthern Africa | 0.12 | 5,105,198 | 100 |
| =166 | GNQMiddle Africa | 0.12 | 11,920 | 100 |
| =168 | LBRWestern Africa | 0.11 | 174,250 | 100 |
| =168 | RUSEastern Europe | 0.11 | 23,552,494 | 100 |
| 170 | TKMCentral Asia | 0.10 | 3,313,880 | 100 |
| =171 | AUSAustralia and New Zealand | 0.09 | 34,211,834 | 100 |
| =171 | ISLNorthern Europe | 0.09 | 174,894 | 100 |
| =171 | LBYNorthern Africa | 0.09 | 1,412,500 | 100 |
| =174 | MRTWestern Africa | 0.08 | 3,133,342 | 100 |
| =174 | ZMBEastern Africa | 0.08 | 1,834,230 | 100 |
| =176 | AGOMiddle Africa | 0.07 | 3,034,635 | 100 |
| =176 | CIVWestern Africa | 0.07 | 1,534,112 | 100 |
| =178 | BWASouthern Africa | 0.06 | 1,464,513 | 100 |
| =178 | GABMiddle Africa | 0.06 | 121,050 | 100 |
| =178 | MNGEastern Asia | 0.06 | 7,106,064 | 100 |
| =181 | CODMiddle Africa | 0.05 | 1,263,658 | 100 |
| =181 | NAMSouthern Africa | 0.05 | 1,869,573 | 100 |
| 183 | MOZEastern Africa | 0.04 | 1,679,000 | 100 |
| 184 | KAZCentral Asia | 0.03 | 6,605,930 | 100 |
| =185 | COGMiddle Africa | 0.02 | 244,249 | 100 |
| =185 | SAUWestern Asia | 0.02 | 3,128,892 | 100 |
02In 2008
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore43.13
- 2
Brunei11.87
- 3
Hong Kong8.22
- 4
Trinidad and Tobago6.25
- 5
Malta4.50
Lowest
- 185
Saudi Arabiashared0.02
- 185
Republic of the Congoshared0.02
- 184
Kazakhstan0.03
- 183
Mozambique0.04
- 181
Namibiashared0.05
Neither end is better. The values describe a shape, not a score. The middle country reads 0.53. “Shared” marks a value another country also holds.
Each measure’s ends
032007 → 2008
Since 2007
What changed between 2007 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 136values changed, of 186 in both
- 88 · 48rose · fell
- 50unchanged
Rose most
Singapore37.74 → 43.13+5.39
Cyprus1.50 → 1.93+0.43
Kuwait2.70 → 2.98+0.28
Trinidad and Tobago5.99 → 6.25+0.26
Uganda0.39 → 0.56+0.17
Fell most
Seychelles2.36 → 2.10−0.26
Suriname1.47 → 1.24−0.23
Taiwan3.60 → 3.41−0.19
Bahrain2.25 → 2.08−0.17
Ireland1.72 → 1.57−0.15
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 2008.
109 distinct values among 186
Values are stored exactly as published, to 2 decimals. 8 countries share 0.22. 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 186 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
186 rows · 7.2 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download livestock-density-2008-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) (2008). Livestock Density, 2008 [data set], describing 2008. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/2008
0663 held
Other years
‹ The year before
Livestock Density, 2007186 countries
The year after ›
Livestock Density, 2009186 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, 2008: questions and answers
Which country has the highest livestock density in Livestock Density, 2008?
Singapore, at 43.13, of the 186 countries in the file.
What year does Livestock Density, 2008 describe?
2008.
How many countries does Livestock Density, 2008 cover?
186.
Where can I download Livestock Density, 2008?
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, 2008 the newest?
No. The newest held here is Livestock Density, 2023.