Data for 1997
Livestock Density, 1997
1997, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 1997 covers 182 countries on 3 measures. Singapore is highest, at 17.65; Republic of the Congo is lowest, at 0.01. The middle country reads 0.42. Against 1996, 122 values changed (76 up, 46 down), the same countries are covered.
Livestock Density · Data for 1997
HighestSingapore
17.65LowestRepublic 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, 1997, 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 | 17.65 | 21,185 | 100 |
| 2 | HKGEastern Asia | 10.13 | 70,897 | 100 |
| 3 | TWNEastern Asia | 4.53 | 3,916,763 | 100 |
| 4 | BRNSouth-eastern Asia | 4.46 | 53,465 | 100 |
| 5 | NLDWestern Europe | 4.36 | 8,556,478 | 100 |
| 6 | MLTSouthern Europe | 3.83 | 38,330 | 100 |
| 7 | BHSCaribbean | 3.36 | 33,640 | 100 |
| 8 | BRBCaribbean | 3.13 | 59,450 | 100 |
| 9 | FSMMicronesia | 3.10 | 17,068 | 100 |
| 10 | SYCEastern Africa | 2.76 | 11,025 | 100 |
| 11 | TTOCaribbean | 2.55 | 181,142 | 100 |
| 12 | KOREastern Asia | 2.45 | 4,853,887 | 100 |
| 13 | EGYNorthern Africa | 2.37 | 7,688,840 | 100 |
| 14 | KWTWestern Asia | 2.29 | 327,047 | 100 |
| 15 | BHRWestern Asia | 1.93 | 19,324 | 100 |
| 16 | QATWestern Asia | 1.85 | 121,784 | 100 |
| =17 | DNKNorthern Europe | 1.81 | 4,870,696 | 100 |
| =17 | JPNEastern Asia | 1.81 | 9,826,290 | 100 |
| 19 | ATGCaribbean | 1.76 | 15,799 | 100 |
| 20 | BGDSouthern Asia | 1.72 | 16,134,600 | 100 |
| 21 | IRLNorthern Europe | 1.63 | 7,111,940 | 100 |
| 22 | CYPWestern Asia | 1.54 | 218,551 | 100 |
| 23 | NRUMicronesia | 1.52 | 610 | 100 |
| 24 | TUVPolynesia | 1.48 | 2,950 | 100 |
| 25 | NPLSouthern Asia | 1.46 | 6,173,257 | 100 |
| 26 | NORNorthern Europe | 1.38 | 1,427,357 | 100 |
| 27 | VNMSouth-eastern Asia | 1.32 | 10,342,690 | 100 |
| 28 | LAOSouth-eastern Asia | 1.29 | 2,260,655 | 100 |
| 29 | SURSouth America | 1.28 | 112,767 | 100 |
| =30 | DEUWestern Europe | 1.27 | 22,016,071 | 100 |
| =30 | CHEWestern Europe | 1.27 | 2,000,610 | 100 |
| 32 | VCTCaribbean | 1.26 | 10,125 | 100 |
| 33 | AREWestern Asia | 1.18 | 465,721 | 100 |
| 34 | WSMPolynesia | 1.15 | 58,695 | 100 |
| 35 | TONPolynesia | 1.08 | 33,510 | 100 |
| 36 | AUTWestern Europe | 1.07 | 3,173,976 | 100 |
| 37 | GBRNorthern Europe | 1.05 | 18,397,105 | 100 |
| 38 | SVNSouthern Europe | 1.03 | 508,043 | 100 |
| 39 | NZLAustralia and New Zealand | 1.02 | 13,130,181 | 100 |
| 40 | DOMCaribbean | 0.99 | 2,511,950 | 100 |
| 41 | LCACaribbean | 0.98 | 16,720 | 100 |
| 42 | ISRWestern Asia | 0.97 | 545,260 | 100 |
| 43 | MUSEastern Africa | 0.96 | 95,475 | 100 |
| 44 | INDSouthern Asia | 0.94 | 169,345,130 | 100 |
| =45 | HTICaribbean | 0.92 | 1,552,000 | 100 |
| =45 | MMRSouth-eastern Asia | 0.92 | 9,717,255 | 100 |
| 47 | PAKSouthern Asia | 0.91 | 33,457,650 | 100 |
| 48 | JAMCaribbean | 0.89 | 435,250 | 100 |
| =49 | FRAWestern Europe | 0.85 | 25,524,425 | 100 |
| =49 | TLSSouth-eastern Asia | 0.85 | 293,062 | 100 |
| =51 | CPVWestern Africa | 0.84 | 60,740 | 100 |
| =51 | GRDCaribbean | 0.84 | 9,206 | 100 |
| =53 | ALBSouthern Europe | 0.83 | 936,914 | 100 |
| =53 | FJIMelanesia | 0.83 | 322,724 | 100 |
| 55 | SLVCentral America | 0.81 | 1,002,578 | 100 |
| 56 | ECUSouth America | 0.78 | 6,257,676 | 100 |
| 57 | DMACaribbean | 0.75 | 12,670 | 100 |
| 58 | SWENorthern Europe | 0.74 | 2,413,791 | 100 |
| 59 | PRTSouthern Europe | 0.73 | 2,616,607 | 100 |
| =60 | ITASouthern Europe | 0.72 | 11,108,196 | 100 |
| =60 | PHLSouth-eastern Asia | 0.72 | 8,120,948 | 100 |
| 62 | FINNorthern Europe | 0.71 | 1,533,620 | 100 |
| =63 | CRICentral America | 0.70 | 1,358,342 | 100 |
| =63 | LBNWestern Asia | 0.70 | 436,405 | 100 |
| =65 | KHMSouth-eastern Asia | 0.68 | 3,114,777 | 100 |
| =65 | ETHEastern Africa | 0.68 | 20,655,275 | 100 |
| 67 | KNACaribbean | 0.67 | 6,000 | 100 |
| =68 | URYSouth America | 0.65 | 9,726,975 | 100 |
| =68 | VUTMelanesia | 0.65 | 109,215 | 100 |
| =70 | BRASouth America | 0.59 | 135,448,450 | 100 |
| =70 | GNBWestern Africa | 0.59 | 377,195 | 100 |
| =72 | CUBCaribbean | 0.57 | 3,835,419 | 100 |
| =72 | CZEEastern Europe | 0.57 | 2,432,633 | 100 |
| =72 | VENSouth America | 0.57 | 12,362,013 | 100 |
| =75 | IDNSouth-eastern Asia | 0.56 | 24,256,467 | 100 |
| =75 | PANCentral America | 0.56 | 1,191,385 | 100 |
| =75 | LKASouthern Asia | 0.56 | 1,315,195 | 100 |
| 78 | HNDCentral America | 0.54 | 1,842,740 | 100 |
| 79 | POLEastern Europe | 0.53 | 9,860,106 | 100 |
| =80 | GTMCentral America | 0.52 | 2,382,185 | 100 |
| =80 | JORWestern Asia | 0.52 | 549,039 | 100 |
| =82 | PRYSouth America | 0.50 | 7,842,383 | 100 |
| =82 | SVKEastern Europe | 0.50 | 1,219,557 | 100 |
| =84 | COLSouth America | 0.49 | 21,921,540 | 100 |
| =84 | NICCentral America | 0.49 | 2,332,510 | 100 |
| =84 | ESPSouthern Europe | 0.49 | 14,632,490 | 100 |
| =87 | BLREastern Europe | 0.46 | 4,281,415 | 100 |
| =87 | CHNEastern Asia | 0.46 | 239,359,750 | 100 |
| =89 | ROUEastern Europe | 0.44 | 6,481,445 | 100 |
| =89 | THASouth-eastern Asia | 0.44 | 9,489,353 | 100 |
| =91 | GMBWestern Africa | 0.42 | 233,851 | 100 |
| =91 | PRKEastern Asia | 0.42 | 1,047,740 | 100 |
| 93 | BTNSouthern Asia | 0.41 | 233,016 | 100 |
| 94 | BFAWestern Africa | 0.40 | 4,310,177 | 100 |
| =95 | AZEWestern Asia | 0.39 | 1,769,055 | 100 |
| =95 | CMRMiddle Africa | 0.39 | 3,587,600 | 100 |
| =95 | MYSSouth-eastern Asia | 0.39 | 2,747,863 | 100 |
| =95 | OMNWestern Asia | 0.39 | 417,450 | 100 |
| =99 | HRVSouthern Europe | 0.38 | 730,998 | 100 |
| =99 | MKDSouthern Europe | 0.38 | 490,110 | 100 |
| =99 | PNGMelanesia | 0.38 | 389,105 | 100 |
| =99 | TURWestern Asia | 0.38 | 14,945,520 | 100 |
| =103 | CAFMiddle Africa | 0.37 | 1,859,780 | 100 |
| =103 | HUNEastern Europe | 0.37 | 2,295,804 | 100 |
| 105 | BENWestern Africa | 0.36 | 1,033,570 | 100 |
| =106 | BLZCentral America | 0.35 | 52,503 | 100 |
| =106 | COMEastern Africa | 0.35 | 43,985 | 100 |
| =106 | MEXCentral America | 0.35 | 37,186,514 | 100 |
| =109 | MDAEastern Europe | 0.33 | 846,579 | 100 |
| =109 | UKREastern Europe | 0.33 | 13,895,345 | 100 |
| =109 | USANorthern America | 0.33 | 135,432,525 | 100 |
| =112 | ARGSouth America | 0.32 | 40,708,810 | 100 |
| =112 | SWZSouthern Africa | 0.32 | 391,119 | 100 |
| =112 | GUYSouth America | 0.32 | 230,300 | 100 |
| =112 | KENEastern Africa | 0.32 | 8,462,196 | 100 |
| =112 | SENWestern Africa | 0.32 | 2,782,840 | 100 |
| =112 | UGAEastern Africa | 0.32 | 3,923,490 | 100 |
| =118 | ARMWestern Asia | 0.31 | 416,747 | 100 |
| =118 | LTUNorthern Europe | 0.31 | 1,048,170 | 100 |
| =118 | PERSouth America | 0.31 | 6,974,261 | 100 |
| =121 | CANNorthern America | 0.30 | 18,080,895 | 100 |
| =121 | ESTNorthern Europe | 0.30 | 310,300 | 100 |
| =123 | CHLSouth America | 0.29 | 4,361,884 | 100 |
| =123 | GEOWestern Asia | 0.29 | 875,278 | 100 |
| =123 | GRCSouthern Europe | 0.29 | 2,576,518 | 100 |
| 126 | SLBMelanesia | 0.28 | 20,265 | 100 |
| =127 | IRNSouthern Asia | 0.27 | 17,260,040 | 100 |
| =127 | LVANorthern Europe | 0.27 | 481,610 | 100 |
| 129 | TZAEastern Africa | 0.26 | 8,665,495 | 100 |
| =130 | BGREastern Europe | 0.25 | 1,535,155 | 100 |
| =130 | IRQWestern Asia | 0.25 | 2,169,684 | 100 |
| =130 | LSOSouthern Africa | 0.25 | 591,833 | 100 |
| =130 | RWAEastern Africa | 0.25 | 405,045 | 100 |
| 134 | NGAWestern Africa | 0.24 | 15,559,965 | 100 |
| 135 | ZWEEastern Africa | 0.23 | 3,256,990 | 100 |
| =136 | BIHSouthern Europe | 0.22 | 469,280 | 100 |
| =136 | STPMiddle Africa | 0.22 | 5,886 | 100 |
| =136 | SOMEastern Africa | 0.22 | 9,911,450 | 100 |
| =136 | TJKCentral Asia | 0.22 | 992,217 | 100 |
| =140 | ERIEastern Africa | 0.21 | 1,523,428 | 100 |
| =140 | TUNNorthern Africa | 0.21 | 2,006,179 | 100 |
| 142 | DJIEastern Africa | 0.19 | 280,520 | 100 |
| =143 | BOLSouth America | 0.18 | 6,771,789 | 100 |
| =143 | BDIEastern Africa | 0.18 | 355,912 | 100 |
| =143 | MARNorthern Africa | 0.18 | 5,661,780 | 100 |
| =146 | TCDMiddle Africa | 0.17 | 8,287,297 | 100 |
| =146 | SYRWestern Asia | 0.17 | 2,415,692 | 100 |
| =148 | MDGEastern Africa | 0.16 | 5,868,149 | 100 |
| =148 | MWIEastern Africa | 0.16 | 692,351 | 100 |
| =150 | NERWestern Africa | 0.15 | 5,410,903 | 100 |
| =150 | RUSEastern Europe | 0.15 | 33,238,308 | 100 |
| =150 | SLEWestern Africa | 0.15 | 414,000 | 100 |
| =150 | ZAFSouthern Africa | 0.15 | 14,715,677 | 100 |
| =150 | TGOWestern Africa | 0.15 | 502,246 | 100 |
| =150 | UZBCentral Asia | 0.15 | 4,218,845 | 100 |
| =156 | AFGSouthern Asia | 0.13 | 4,810,150 | 100 |
| =156 | KIRMicronesia | 0.13 | 4,900 | 100 |
| =156 | MLIWestern Africa | 0.13 | 4,765,926 | 100 |
| =159 | GINWestern Africa | 0.11 | 1,482,851 | 100 |
| =159 | KGZCentral Asia | 0.11 | 1,158,067 | 100 |
| =159 | YEMWestern Asia | 0.11 | 2,670,300 | 100 |
| =162 | DZANorthern Africa | 0.10 | 4,080,837 | 100 |
| =162 | GNQMiddle Africa | 0.10 | 10,920 | 100 |
| =162 | GHAWestern Africa | 0.10 | 1,375,253 | 100 |
| =165 | ISLNorthern Europe | 0.09 | 179,497 | 100 |
| =165 | LBRWestern Africa | 0.09 | 120,000 | 100 |
| =167 | AUSAustralia and New Zealand | 0.08 | 37,911,870 | 100 |
| =167 | ZMBEastern Africa | 0.08 | 1,741,968 | 100 |
| =169 | LBYNorthern Africa | 0.07 | 1,062,850 | 100 |
| =169 | MRTWestern Africa | 0.07 | 2,648,300 | 100 |
| =171 | BWASouthern Africa | 0.06 | 1,541,800 | 100 |
| =171 | CIVWestern Africa | 0.06 | 1,238,354 | 100 |
| =171 | CODMiddle Africa | 0.06 | 1,555,140 | 100 |
| =171 | GABMiddle Africa | 0.06 | 117,000 | 100 |
| =175 | AGOMiddle Africa | 0.05 | 2,209,575 | 100 |
| =175 | MNGEastern Asia | 0.05 | 6,622,112 | 100 |
| =177 | MOZEastern Africa | 0.04 | 1,450,100 | 100 |
| =177 | NAMSouthern Africa | 0.04 | 1,538,304 | 100 |
| =179 | KAZCentral Asia | 0.03 | 5,897,945 | 100 |
| =179 | TKMCentral Asia | 0.03 | 1,234,650 | 100 |
| 181 | SAUWestern Asia | 0.02 | 3,006,741 | 100 |
| 182 | COGMiddle Africa | 0.01 | 107,033 | 100 |
02In 1997
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore17.65
- 2
Hong Kong10.13
- 3
Taiwan4.53
- 4
Brunei4.46
- 5
Netherlands4.36
Lowest
- 182
Republic of the Congo0.01
- 181
Saudi Arabia0.02
- 179
Turkmenistanshared0.03
- 179
Kazakhstanshared0.03
- 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
031996 → 1997
Since 1996
What changed between 1996 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 122values changed, of 182 in both
- 76 · 46rose · fell
- 60unchanged
Rose most
Hong Kong7.79 → 10.13+2.34
Brunei3.23 → 4.46+1.23
Malta3.47 → 3.83+0.36
Seychelles2.40 → 2.76+0.36
Taiwan4.34 → 4.53+0.19
Fell most
Singapore21.10 → 17.65−3.45
Bahamas4.06 → 3.36−0.70
Barbados3.29 → 3.13−0.16
Netherlands4.48 → 4.36−0.12
North Korea0.51 → 0.42−0.09
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 1997.
107 distinct values among 182
Values are stored exactly as published, to 2 decimals. 6 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 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-1997-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) (1997). Livestock Density, 1997 [data set], describing 1997. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/1997
0663 held
Other years
‹ The year before
Livestock Density, 1996182 countries
The year after ›
Livestock Density, 1998182 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, 1997: questions and answers
Which country has the highest livestock density in Livestock Density, 1997?
Singapore, at 17.65, of the 182 countries in the file.
What year does Livestock Density, 1997 describe?
1997.
How many countries does Livestock Density, 1997 cover?
182.
Where can I download Livestock Density, 1997?
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, 1997 the newest?
No. The newest held here is Livestock Density, 2023.