Data for 1999
Livestock Density, 1999
1999, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 1999 covers 182 countries on 3 measures. Singapore is highest, at 16.82; Republic of the Congo is lowest, at 0.01. The middle country reads 0.42. Against 1998, 126 values changed (71 up, 55 down), the same countries are covered.
Livestock Density · Data for 1999
HighestSingapore
16.82LowestRepublic 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, 1999, 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 | 16.82 | 20,180 | 100 |
| 2 | HKGEastern Asia | 9.24 | 64,647 | 100 |
| 3 | BRNSouth-eastern Asia | 7.02 | 84,218 | 100 |
| 4 | NLDWestern Europe | 4.29 | 8,462,528 | 100 |
| 5 | MLTSouthern Europe | 4.17 | 37,530 | 100 |
| 6 | TWNEastern Asia | 3.49 | 2,984,870 | 100 |
| 7 | BRBCaribbean | 3.23 | 58,190 | 100 |
| 8 | FSMMicronesia | 3.10 | 17,068 | 100 |
| 9 | TTOCaribbean | 2.89 | 193,350 | 100 |
| 10 | KWTWestern Asia | 2.71 | 390,391 | 100 |
| 11 | BHSCaribbean | 2.66 | 26,590 | 100 |
| 12 | SYCEastern Africa | 2.51 | 10,022 | 100 |
| 13 | KOREastern Asia | 2.34 | 4,579,607 | 100 |
| 14 | EGYNorthern Africa | 2.30 | 7,999,504 | 100 |
| 15 | BHRWestern Asia | 2.02 | 20,226 | 100 |
| 16 | QATWestern Asia | 1.86 | 122,948 | 100 |
| 17 | DNKNorthern Europe | 1.83 | 4,845,147 | 100 |
| 18 | JPNEastern Asia | 1.81 | 9,645,200 | 100 |
| 19 | ATGCaribbean | 1.78 | 16,029 | 100 |
| =20 | BGDSouthern Asia | 1.69 | 16,070,419 | 100 |
| =20 | IRLNorthern Europe | 1.69 | 7,426,730 | 100 |
| =22 | NRUMicronesia | 1.52 | 610 | 100 |
| =22 | TUVPolynesia | 1.52 | 3,040 | 100 |
| =24 | CYPWestern Asia | 1.49 | 214,911 | 100 |
| =24 | NPLSouthern Asia | 1.49 | 6,299,623 | 100 |
| 26 | SURSouth America | 1.40 | 123,565 | 100 |
| 27 | VCTCaribbean | 1.38 | 10,130 | 100 |
| 28 | NORNorthern Europe | 1.35 | 1,404,027 | 100 |
| 29 | VNMSouth-eastern Asia | 1.29 | 10,831,158 | 100 |
| 30 | DEUWestern Europe | 1.27 | 21,723,820 | 100 |
| 31 | CHEWestern Europe | 1.25 | 1,964,657 | 100 |
| 32 | WSMPolynesia | 1.16 | 59,172 | 100 |
| 33 | TONPolynesia | 1.10 | 34,054 | 100 |
| =34 | AUTWestern Europe | 1.06 | 3,132,972 | 100 |
| =34 | LCACaribbean | 1.06 | 16,250 | 100 |
| 36 | GBRNorthern Europe | 1.05 | 18,095,333 | 100 |
| =37 | ISRWestern Asia | 1.04 | 583,310 | 100 |
| =37 | LAOSouth-eastern Asia | 1.04 | 1,838,570 | 100 |
| 39 | NZLAustralia and New Zealand | 1.03 | 12,915,452 | 100 |
| 40 | CPVWestern Africa | 1.02 | 73,445 | 100 |
| 41 | AREWestern Asia | 1.00 | 513,641 | 100 |
| 42 | SVNSouthern Europe | 0.98 | 490,734 | 100 |
| =43 | HTICaribbean | 0.97 | 1,637,200 | 100 |
| =43 | MUSEastern Africa | 0.97 | 95,355 | 100 |
| 45 | MMRSouth-eastern Asia | 0.96 | 10,230,423 | 100 |
| =46 | INDSouthern Asia | 0.93 | 168,812,450 | 100 |
| =46 | JAMCaribbean | 0.93 | 450,240 | 100 |
| 48 | PAKSouthern Asia | 0.92 | 33,804,350 | 100 |
| 49 | DOMCaribbean | 0.88 | 2,214,614 | 100 |
| 50 | FRAWestern Europe | 0.85 | 25,359,056 | 100 |
| 51 | FJIMelanesia | 0.84 | 319,022 | 100 |
| 52 | ALBSouthern Europe | 0.80 | 912,684 | 100 |
| =53 | GRDCaribbean | 0.79 | 9,502 | 100 |
| =53 | LBNWestern Asia | 0.79 | 463,014 | 100 |
| 55 | SLVCentral America | 0.78 | 1,014,353 | 100 |
| =56 | ECUSouth America | 0.73 | 5,918,076 | 100 |
| =56 | PHLSouth-eastern Asia | 0.73 | 8,185,296 | 100 |
| =56 | TLSSouth-eastern Asia | 0.73 | 244,902 | 100 |
| =59 | ETHEastern Africa | 0.72 | 21,980,326 | 100 |
| =59 | SWENorthern Europe | 0.72 | 2,303,130 | 100 |
| 61 | ITASouthern Europe | 0.70 | 11,124,050 | 100 |
| =62 | CRICentral America | 0.69 | 1,308,610 | 100 |
| =62 | PRTSouthern Europe | 0.69 | 2,669,875 | 100 |
| =64 | DMACaribbean | 0.67 | 12,670 | 100 |
| =64 | FINNorthern Europe | 0.67 | 1,472,515 | 100 |
| 66 | KHMSouth-eastern Asia | 0.64 | 2,992,591 | 100 |
| =67 | KNACaribbean | 0.63 | 6,340 | 100 |
| =67 | VUTMelanesia | 0.63 | 109,615 | 100 |
| 69 | URYSouth America | 0.62 | 9,270,775 | 100 |
| 70 | BRASouth America | 0.61 | 138,502,455 | 100 |
| =71 | GNBWestern Africa | 0.60 | 395,170 | 100 |
| =71 | VENSouth America | 0.60 | 13,030,586 | 100 |
| 73 | PRKEastern Asia | 0.58 | 1,467,300 | 100 |
| =74 | CUBCaribbean | 0.57 | 3,817,638 | 100 |
| =74 | PANCentral America | 0.57 | 1,225,295 | 100 |
| =76 | CZEEastern Europe | 0.54 | 2,311,726 | 100 |
| =76 | GTMCentral America | 0.54 | 2,525,105 | 100 |
| =78 | NICCentral America | 0.52 | 2,587,550 | 100 |
| =78 | ESPSouthern Europe | 0.52 | 15,482,490 | 100 |
| 80 | POLEastern Europe | 0.51 | 9,479,041 | 100 |
| 81 | CHNEastern Asia | 0.50 | 261,277,900 | 100 |
| =82 | HNDCentral America | 0.49 | 1,633,434 | 100 |
| =82 | JORWestern Asia | 0.49 | 523,845 | 100 |
| 84 | PRYSouth America | 0.47 | 7,677,568 | 100 |
| 85 | COLSouth America | 0.46 | 20,995,650 | 100 |
| 86 | BLREastern Europe | 0.45 | 4,174,945 | 100 |
| =87 | CMRMiddle Africa | 0.44 | 4,014,350 | 100 |
| =87 | IDNSouth-eastern Asia | 0.44 | 19,375,115 | 100 |
| =89 | BTNSouthern Asia | 0.43 | 248,022 | 100 |
| =89 | OMNWestern Asia | 0.43 | 461,850 | 100 |
| 91 | GMBWestern Africa | 0.42 | 236,241 | 100 |
| =92 | AZEWestern Asia | 0.41 | 1,921,607 | 100 |
| =92 | BLZCentral America | 0.41 | 62,153 | 100 |
| =92 | BFAWestern Africa | 0.41 | 4,569,076 | 100 |
| =92 | SVKEastern Europe | 0.41 | 990,833 | 100 |
| =96 | CAFMiddle Africa | 0.40 | 1,968,580 | 100 |
| =96 | COMEastern Africa | 0.40 | 50,300 | 100 |
| =96 | ROUEastern Europe | 0.40 | 5,839,350 | 100 |
| 99 | LKASouthern Asia | 0.39 | 923,075 | 100 |
| =100 | HRVSouthern Europe | 0.38 | 769,322 | 100 |
| =100 | HUNEastern Europe | 0.38 | 2,352,075 | 100 |
| =102 | PNGMelanesia | 0.37 | 400,340 | 100 |
| =102 | THASouth-eastern Asia | 0.37 | 8,167,690 | 100 |
| 104 | TURWestern Asia | 0.36 | 14,506,930 | 100 |
| 105 | MEXCentral America | 0.35 | 36,844,733 | 100 |
| =106 | BENWestern Africa | 0.34 | 1,041,259 | 100 |
| =106 | KENEastern Africa | 0.34 | 9,239,676 | 100 |
| =106 | UGAEastern Africa | 0.34 | 4,167,960 | 100 |
| 109 | PERSouth America | 0.33 | 7,426,024 | 100 |
| =110 | MYSSouth-eastern Asia | 0.32 | 2,250,340 | 100 |
| =110 | MKDSouthern Europe | 0.32 | 413,830 | 100 |
| =110 | SENWestern Africa | 0.32 | 2,913,200 | 100 |
| =110 | USANorthern America | 0.32 | 133,014,875 | 100 |
| =114 | ARGSouth America | 0.31 | 40,047,050 | 100 |
| =114 | GEOWestern Asia | 0.31 | 930,732 | 100 |
| =114 | GUYSouth America | 0.31 | 224,800 | 100 |
| =114 | LSOSouthern Africa | 0.31 | 724,995 | 100 |
| =114 | RWAEastern Africa | 0.31 | 525,049 | 100 |
| =114 | TZAEastern Africa | 0.31 | 10,561,282 | 100 |
| =120 | ARMWestern Asia | 0.30 | 399,129 | 100 |
| =120 | CANNorthern America | 0.30 | 18,285,600 | 100 |
| =120 | ESTNorthern Europe | 0.30 | 298,075 | 100 |
| =120 | SWZSouthern Africa | 0.30 | 365,873 | 100 |
| =120 | GRCSouthern Europe | 0.30 | 2,585,559 | 100 |
| =125 | CHLSouth America | 0.29 | 4,413,580 | 100 |
| =125 | MDAEastern Europe | 0.29 | 748,455 | 100 |
| =127 | BGREastern Europe | 0.28 | 1,573,427 | 100 |
| =127 | LTUNorthern Europe | 0.28 | 961,615 | 100 |
| =129 | IRNSouthern Asia | 0.27 | 17,167,434 | 100 |
| =129 | UKREastern Europe | 0.27 | 11,319,355 | 100 |
| =131 | BIHSouthern Europe | 0.26 | 550,672 | 100 |
| =131 | IRQWestern Asia | 0.26 | 2,169,375 | 100 |
| =131 | LVANorthern Europe | 0.26 | 416,295 | 100 |
| =131 | SLBMelanesia | 0.26 | 19,928 | 100 |
| =135 | NGAWestern Africa | 0.25 | 16,626,297 | 100 |
| =135 | ZWEEastern Africa | 0.25 | 3,681,357 | 100 |
| =137 | SOMEastern Africa | 0.23 | 10,016,185 | 100 |
| =137 | TUNNorthern Africa | 0.23 | 2,221,706 | 100 |
| 139 | ERIEastern Africa | 0.22 | 1,657,435 | 100 |
| 140 | TJKCentral Asia | 0.21 | 955,355 | 100 |
| =141 | BOLSouth America | 0.20 | 7,284,081 | 100 |
| =141 | MARNorthern Africa | 0.20 | 6,228,420 | 100 |
| =143 | TCDMiddle Africa | 0.19 | 9,267,045 | 100 |
| =143 | DJIEastern Africa | 0.19 | 296,233 | 100 |
| =145 | BDIEastern Africa | 0.18 | 339,682 | 100 |
| =145 | STPMiddle Africa | 0.18 | 6,196 | 100 |
| =145 | SYRWestern Asia | 0.18 | 2,539,712 | 100 |
| 148 | TGOWestern Africa | 0.17 | 578,452 | 100 |
| =149 | MWIEastern Africa | 0.16 | 745,403 | 100 |
| =149 | NERWestern Africa | 0.16 | 5,858,359 | 100 |
| =149 | UZBCentral Asia | 0.16 | 4,355,985 | 100 |
| =152 | AFGSouthern Asia | 0.15 | 5,751,974 | 100 |
| =152 | MDGEastern Africa | 0.15 | 5,741,775 | 100 |
| =152 | ZAFSouthern Africa | 0.15 | 14,951,013 | 100 |
| =155 | KIRMicronesia | 0.14 | 4,900 | 100 |
| =155 | MLIWestern Africa | 0.14 | 5,245,511 | 100 |
| =155 | SLEWestern Africa | 0.14 | 400,400 | 100 |
| 158 | RUSEastern Europe | 0.13 | 27,651,858 | 100 |
| =159 | GINWestern Africa | 0.12 | 1,644,761 | 100 |
| =159 | YEMWestern Asia | 0.12 | 2,860,900 | 100 |
| =161 | DZANorthern Africa | 0.11 | 4,560,218 | 100 |
| =161 | GNQMiddle Africa | 0.11 | 11,255 | 100 |
| =161 | GHAWestern Africa | 0.11 | 1,463,190 | 100 |
| =161 | KGZCentral Asia | 0.11 | 1,228,837 | 100 |
| =165 | ISLNorthern Europe | 0.09 | 179,359 | 100 |
| =165 | LBRWestern Africa | 0.09 | 120,000 | 100 |
| =165 | ZMBEastern Africa | 0.09 | 1,916,650 | 100 |
| =168 | AUSAustralia and New Zealand | 0.08 | 37,341,550 | 100 |
| =168 | MRTWestern Africa | 0.08 | 3,025,331 | 100 |
| 170 | LBYNorthern Africa | 0.07 | 1,043,600 | 100 |
| =171 | BWASouthern Africa | 0.06 | 1,650,570 | 100 |
| =171 | CIVWestern Africa | 0.06 | 1,251,303 | 100 |
| =171 | GABMiddle Africa | 0.06 | 119,400 | 100 |
| =171 | MNGEastern Asia | 0.06 | 7,277,942 | 100 |
| =175 | AGOMiddle Africa | 0.05 | 2,411,900 | 100 |
| =175 | CODMiddle Africa | 0.05 | 1,383,026 | 100 |
| =177 | MOZEastern Africa | 0.04 | 1,478,900 | 100 |
| =177 | NAMSouthern Africa | 0.04 | 1,659,551 | 100 |
| =177 | TKMCentral Asia | 0.04 | 1,563,500 | 100 |
| =180 | KAZCentral Asia | 0.02 | 4,380,735 | 100 |
| =180 | SAUWestern Asia | 0.02 | 2,725,029 | 100 |
| 182 | COGMiddle Africa | 0.01 | 110,833 | 100 |
02In 1999
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore16.82
- 2
Hong Kong9.24
- 3
Brunei7.02
- 4
Netherlands4.29
- 5
Malta4.17
Lowest
- 182
Republic of the Congo0.01
- 180
Saudi Arabiashared0.02
- 180
Kazakhstanshared0.02
- 177
Turkmenistanshared0.04
- 177
Namibiashared0.04
Neither end is better. The values describe a shape, not a score. The middle country reads 0.42. “Shared” marks a value another country also holds.
Each measure’s ends
031998 → 1999
Since 1998
What changed between 1998 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 126values changed, of 182 in both
- 71 · 55rose · fell
- 56unchanged
Rose most
Fell most
Bahamas5.06 → 2.66−2.40
Hong Kong9.77 → 9.24−0.53
Taiwan3.85 → 3.49−0.36
United Arab Emirates1.19 → 1.00−0.19
Timor-Leste0.87 → 0.73−0.14
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 1999.
108 distinct values among 182
Values are stored exactly as published, to 2 decimals. 6 countries share 0.31. 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-1999-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) (1999). Livestock Density, 1999 [data set], describing 1999. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/1999
0663 held
Other years
‹ The year before
Livestock Density, 1998182 countries
The year after ›
Livestock Density, 2000184 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, 1999: questions and answers
Which country has the highest livestock density in Livestock Density, 1999?
Singapore, at 16.82, of the 182 countries in the file.
What year does Livestock Density, 1999 describe?
1999.
How many countries does Livestock Density, 1999 cover?
182.
Where can I download Livestock Density, 1999?
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, 1999 the newest?
No. The newest held here is Livestock Density, 2023.