Data for 1977
Livestock Density, 1977
1977, as FAO’s 2026 release gives it · stored as published, never rewritten
Livestock Density, 1977 covers 158 countries on 3 measures. Singapore is highest, at 44.85; 2 countries share the lowest reading, 0.01. The middle country reads 0.43. Against 1976, 102 values changed (76 up, 26 down), the same countries are covered.
Livestock Density · Data for 1977
HighestSingapore
44.85Lowest2 countries share it
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, 1977, 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 158 countries · select a heading to sort
| derived | ||||
|---|---|---|---|---|
| 1 | SGPSouth-eastern Asia | 44.85 | 358,790 | 100 |
| 2 | HKGEastern Asia | 20.03 | 180,306 | 100 |
| 3 | NLDWestern Europe | 3.38 | 6,979,340 | 100 |
| 4 | BHSCaribbean | 2.06 | 22,665 | 100 |
| 5 | MLTSouthern Europe | 2.02 | 28,294 | 100 |
| 6 | BRBCaribbean | 1.98 | 37,550 | 100 |
| =7 | DNKNorthern Europe | 1.70 | 4,964,948 | 100 |
| =7 | EGYNorthern Africa | 1.70 | 4,491,750 | 100 |
| 9 | BGDSouthern Asia | 1.53 | 15,282,250 | 100 |
| 10 | TWNEastern Asia | 1.51 | 1,396,795 | 100 |
| 11 | CHEWestern Europe | 1.50 | 2,456,446 | 100 |
| 12 | DEUWestern Europe | 1.49 | 27,885,283 | 100 |
| 13 | BRNSouth-eastern Asia | 1.41 | 21,200 | 100 |
| 14 | NORNorthern Europe | 1.40 | 1,262,478 | 100 |
| 15 | JPNEastern Asia | 1.30 | 8,102,784 | 100 |
| 16 | TTOCaribbean | 1.29 | 136,920 | 100 |
| 17 | IRLNorthern Europe | 1.28 | 6,247,435 | 100 |
| 18 | NPLSouthern Asia | 1.24 | 4,995,100 | 100 |
| 19 | SURSouth America | 1.10 | 67,190 | 100 |
| 20 | AUTWestern Europe | 1.07 | 3,403,549 | 100 |
| =21 | ATGCaribbean | 0.98 | 8,821 | 100 |
| =21 | NZLAustralia and New Zealand | 0.98 | 14,015,852 | 100 |
| =23 | BHRWestern Asia | 0.96 | 9,621 | 100 |
| =23 | GBRNorthern Europe | 0.96 | 17,707,750 | 100 |
| =25 | SLVCentral America | 0.92 | 1,130,090 | 100 |
| =25 | ISRWestern Asia | 0.92 | 486,365 | 100 |
| 27 | HTICaribbean | 0.91 | 1,441,298 | 100 |
| 28 | FRAWestern Europe | 0.86 | 27,510,800 | 100 |
| 29 | TONPolynesia | 0.83 | 27,402 | 100 |
| =30 | VCTCaribbean | 0.81 | 8,920 | 100 |
| =30 | SYCEastern Africa | 0.81 | 4,057 | 100 |
| =32 | NRUMicronesia | 0.80 | 320 | 100 |
| =32 | POLEastern Europe | 0.80 | 15,277,436 | 100 |
| =34 | KOREastern Asia | 0.79 | 1,789,260 | 100 |
| =34 | VNMSouth-eastern Asia | 0.79 | 5,365,880 | 100 |
| 36 | FINNorthern Europe | 0.77 | 1,999,550 | 100 |
| 37 | INDSouthern Asia | 0.76 | 136,970,405 | 100 |
| 38 | PRKEastern Asia | 0.75 | 1,738,670 | 100 |
| =39 | ITASouthern Europe | 0.73 | 12,734,105 | 100 |
| =39 | TLSSouth-eastern Asia | 0.73 | 191,450 | 100 |
| 41 | CUBCaribbean | 0.72 | 4,356,495 | 100 |
| =42 | CYPWestern Asia | 0.68 | 119,690 | 100 |
| =42 | MMRSouth-eastern Asia | 0.68 | 7,020,805 | 100 |
| =42 | SWENorthern Europe | 0.68 | 2,541,443 | 100 |
| 45 | DOMCaribbean | 0.67 | 1,690,700 | 100 |
| 46 | CRICentral America | 0.65 | 1,494,851 | 100 |
| =47 | KWTWestern Asia | 0.63 | 84,979 | 100 |
| =47 | VUTMelanesia | 0.63 | 79,955 | 100 |
| =49 | FJIMelanesia | 0.62 | 166,550 | 100 |
| =49 | JAMCaribbean | 0.62 | 316,120 | 100 |
| =49 | NICCentral America | 0.62 | 2,318,974 | 100 |
| =49 | TUVPolynesia | 0.62 | 1,230 | 100 |
| =53 | LAOSouth-eastern Asia | 0.61 | 969,040 | 100 |
| =53 | PANCentral America | 0.61 | 1,124,785 | 100 |
| =53 | PRTSouthern Europe | 0.61 | 2,416,250 | 100 |
| =56 | HUNEastern Europe | 0.60 | 4,034,470 | 100 |
| =56 | ROUEastern Europe | 0.60 | 8,916,940 | 100 |
| =56 | URYSouth America | 0.60 | 9,155,400 | 100 |
| 59 | LCACaribbean | 0.59 | 11,870 | 100 |
| =60 | ALBSouthern Europe | 0.58 | 641,985 | 100 |
| =60 | BGREastern Europe | 0.58 | 3,580,952 | 100 |
| 62 | ECUSouth America | 0.57 | 3,318,788 | 100 |
| =63 | BLZCentral America | 0.56 | 47,775 | 100 |
| =63 | LKASouthern Asia | 0.56 | 1,367,765 | 100 |
| =65 | COMEastern Africa | 0.53 | 50,160 | 100 |
| =65 | PAKSouthern Asia | 0.53 | 19,065,100 | 100 |
| =65 | PHLSouth-eastern Asia | 0.53 | 5,372,905 | 100 |
| 68 | WSMPolynesia | 0.51 | 35,985 | 100 |
| =69 | HNDCentral America | 0.50 | 1,611,792 | 100 |
| =69 | QATWestern Asia | 0.50 | 25,740 | 100 |
| =71 | GTMCentral America | 0.48 | 1,429,188 | 100 |
| =71 | TURWestern Asia | 0.48 | 18,354,770 | 100 |
| 73 | GRDCaribbean | 0.47 | 9,463 | 100 |
| 74 | THASouth-eastern Asia | 0.46 | 8,311,533 | 100 |
| =75 | BTNSouthern Asia | 0.44 | 177,715 | 100 |
| =75 | COLSouth America | 0.44 | 19,753,392 | 100 |
| =75 | KNACaribbean | 0.44 | 6,542 | 100 |
| =75 | SLBMelanesia | 0.44 | 24,680 | 100 |
| 79 | BRASouth America | 0.43 | 94,426,711 | 100 |
| 80 | GNBWestern Africa | 0.42 | 216,550 | 100 |
| =81 | AREWestern Asia | 0.40 | 85,946 | 100 |
| =81 | VENSouth America | 0.40 | 8,250,020 | 100 |
| =83 | ARGSouth America | 0.39 | 49,952,317 | 100 |
| =83 | KHMSouth-eastern Asia | 0.39 | 990,475 | 100 |
| =83 | PRYSouth America | 0.39 | 4,737,040 | 100 |
| =86 | CHNEastern Asia | 0.38 | 156,131,133 | 100 |
| =86 | DMACaribbean | 0.38 | 7,205 | 100 |
| 88 | BENWestern Africa | 0.37 | 708,385 | 100 |
| 89 | USANorthern America | 0.35 | 151,952,315 | 100 |
| =90 | GRCSouthern Europe | 0.34 | 3,115,558 | 100 |
| =90 | PNGMelanesia | 0.34 | 254,772 | 100 |
| =92 | GMBWestern Africa | 0.33 | 188,200 | 100 |
| =92 | GUYSouth America | 0.33 | 328,233 | 100 |
| =92 | IRQWestern Asia | 0.33 | 3,064,965 | 100 |
| =92 | MEXCentral America | 0.33 | 31,760,194 | 100 |
| =96 | CPVWestern Africa | 0.32 | 20,520 | 100 |
| =96 | MUSEastern Africa | 0.32 | 36,025 | 100 |
| =96 | PERSouth America | 0.32 | 6,266,055 | 100 |
| =96 | ZWEEastern Africa | 0.32 | 3,725,300 | 100 |
| 100 | ESPSouthern Europe | 0.31 | 9,673,079 | 100 |
| 101 | MYSSouth-eastern Asia | 0.30 | 1,386,785 | 100 |
| 102 | UGAEastern Africa | 0.28 | 2,994,960 | 100 |
| 103 | JORWestern Asia | 0.27 | 303,819 | 100 |
| =104 | CANNorthern America | 0.26 | 16,154,320 | 100 |
| =104 | SWZSouthern Africa | 0.26 | 360,128 | 100 |
| =104 | IDNSouth-eastern Asia | 0.26 | 9,003,080 | 100 |
| =104 | RWAEastern Africa | 0.26 | 438,808 | 100 |
| 108 | CMRMiddle Africa | 0.25 | 2,187,425 | 100 |
| =109 | BDIEastern Africa | 0.24 | 517,400 | 100 |
| =109 | KENEastern Africa | 0.24 | 6,251,400 | 100 |
| =109 | TZAEastern Africa | 0.24 | 7,043,810 | 100 |
| 112 | LSOSouthern Africa | 0.23 | 520,034 | 100 |
| =113 | BFAWestern Africa | 0.22 | 1,999,600 | 100 |
| =113 | CHLSouth America | 0.22 | 3,740,947 | 100 |
| 115 | SENWestern Africa | 0.21 | 1,823,830 | 100 |
| 116 | MARNorthern Africa | 0.20 | 5,629,220 | 100 |
| =117 | IRNSouthern Asia | 0.19 | 11,077,500 | 100 |
| =117 | SOMEastern Africa | 0.19 | 8,552,465 | 100 |
| =117 | TUNNorthern Africa | 0.19 | 1,839,650 | 100 |
| 120 | OMNWestern Asia | 0.18 | 184,500 | 100 |
| 121 | LBNWestern Asia | 0.17 | 108,938 | 100 |
| =122 | AFGSouthern Asia | 0.16 | 5,995,400 | 100 |
| =122 | NERWestern Africa | 0.16 | 4,705,967 | 100 |
| =124 | BOLSouth America | 0.15 | 4,812,261 | 100 |
| =124 | NGAWestern Africa | 0.15 | 8,320,700 | 100 |
| =124 | ZAFSouthern Africa | 0.15 | 13,670,378 | 100 |
| =127 | MDGEastern Africa | 0.14 | 4,982,935 | 100 |
| =127 | MWIEastern Africa | 0.14 | 565,821 | 100 |
| 129 | CAFMiddle Africa | 0.13 | 635,510 | 100 |
| 130 | TGOWestern Africa | 0.12 | 335,962 | 100 |
| =131 | DJIEastern Africa | 0.11 | 140,150 | 100 |
| =131 | MLIWestern Africa | 0.11 | 3,604,000 | 100 |
| =131 | SYRWestern Asia | 0.11 | 1,497,814 | 100 |
| =134 | AUSAustralia and New Zealand | 0.09 | 43,186,990 | 100 |
| =134 | ISLNorthern Europe | 0.09 | 177,879 | 100 |
| =134 | KIRMicronesia | 0.09 | 3,570 | 100 |
| =134 | STPMiddle Africa | 0.09 | 3,376 | 100 |
| =134 | SLEWestern Africa | 0.09 | 241,500 | 100 |
| =139 | GHAWestern Africa | 0.08 | 989,000 | 100 |
| =139 | LBRWestern Africa | 0.08 | 93,800 | 100 |
| =141 | GNQMiddle Africa | 0.07 | 8,020 | 100 |
| =141 | YEMWestern Asia | 0.07 | 1,735,060 | 100 |
| =143 | DZANorthern Africa | 0.06 | 2,758,232 | 100 |
| =143 | BWASouthern Africa | 0.06 | 1,675,040 | 100 |
| =143 | TCDMiddle Africa | 0.06 | 2,789,600 | 100 |
| =143 | GINWestern Africa | 0.06 | 894,840 | 100 |
| =143 | ZMBEastern Africa | 0.06 | 1,315,690 | 100 |
| =148 | CODMiddle Africa | 0.05 | 1,166,580 | 100 |
| =148 | LBYNorthern Africa | 0.05 | 790,740 | 100 |
| =148 | MRTWestern Africa | 0.05 | 1,877,800 | 100 |
| =148 | NAMSouthern Africa | 0.05 | 1,762,897 | 100 |
| =152 | AGOMiddle Africa | 0.04 | 1,684,050 | 100 |
| =152 | CIVWestern Africa | 0.04 | 652,000 | 100 |
| =152 | MNGEastern Asia | 0.04 | 5,341,245 | 100 |
| =155 | GABMiddle Africa | 0.03 | 56,856 | 100 |
| =155 | MOZEastern Africa | 0.03 | 924,900 | 100 |
| =157 | COGMiddle Africa | 0.01 | 67,359 | 100 |
| =157 | SAUWestern Asia | 0.01 | 1,061,461 | 100 |
02In 1977
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore44.85
- 2
Hong Kong20.03
- 3
Netherlands3.38
- 4
Bahamas2.06
- 5
Malta2.02
Lowest
- 157
Saudi Arabiashared0.01
- 157
Republic of the Congoshared0.01
- 155
Mozambiqueshared0.03
- 155
Gabonshared0.03
- 152
Mongoliashared0.04
Neither end is better. The values describe a shape, not a score. The middle country reads 0.43. “Shared” marks a value another country also holds.
Each measure’s ends
031976 → 1977
Since 1976
What changed between 1976 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 102values changed, of 158 in both
- 76 · 26rose · fell
- 56unchanged
Rose most
Fell most
Timor-Leste0.89 → 0.73−0.16
Seychelles0.94 → 0.81−0.13
United Kingdom1.02 → 0.96−0.06
Cambodia0.45 → 0.39−0.06
Saint Vincent and the Grenadines0.87 → 0.81−0.06
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 1977.
89 distinct values among 158
Values are stored exactly as published, to 2 decimals. 5 countries share 0.09. 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 158 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
158 rows · 6.2 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download livestock-density-1977-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) (1977). Livestock Density, 1977 [data set], describing 1977. As held by Nations Inquiry, https://nationsinquiry.com/datasets/livestock-density/1977
0663 held
Other years
‹ The year before
Livestock Density, 1976158 countries
The year after ›
Livestock Density, 1978158 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, 1977: questions and answers
Which country has the highest livestock density in Livestock Density, 1977?
Singapore, at 44.85, of the 158 countries in the file.
What year does Livestock Density, 1977 describe?
1977.
How many countries does Livestock Density, 1977 cover?
158.
Where can I download Livestock Density, 1977?
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, 1977 the newest?
No. The newest held here is Livestock Density, 2023.