This article has been written to share the Accurate Statistical Trade Ranking by country.
The graphs that have been shared show the International Trade Price and Weight of
“Fish; frozen, of Bregmacerotidae, Euclichthyidae, Gadidae, Macrouridae, Melanonidae, Merlucciidae, Moridae, Muraenolepididae, other than cod, haddock, coalfish, hake, Alaska pollack, blue whitings, excluding fillets, livers, roes, other fish meat of 0304”(HScode:030369)
The graphs that have been shared show the International Trade Price and Weight of
“Fish; frozen, of Bregmacerotidae, Euclichthyidae, Gadidae, Macrouridae, Melanonidae, Merlucciidae, Moridae, Muraenolepididae, other than cod, haddock, coalfish, hake, Alaska pollack, blue whitings, excluding fillets, livers, roes, other fish meat of 0304”(HScode:030369)
These graphs may help you to find new Buyer and Supplier Country.
All the Statistical data that is depicted here is taken from UN Comtrade Database.
Export Trade Statistics of (HScode:030369)
Here is a graph which shows export statistics of
030369 – Fish; frozen, of Bregmacerotidae, Euclichthyidae, Gadidae, Macrouridae, Melanonidae, Merlucciidae, Moridae, Muraenolepididae, other than cod, haddock, coalfish, hake, Alaska pollack, blue whitings, excluding fillets, livers, roes, other fish meat of 0304(HScode:030369) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
030369 – Fish; frozen, of Bregmacerotidae, Euclichthyidae, Gadidae, Macrouridae, Melanonidae, Merlucciidae, Moridae, Muraenolepididae, other than cod, haddock, coalfish, hake, Alaska pollack, blue whitings, excluding fillets, livers, roes, other fish meat of 0304(HScode:030369) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
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According to the stats, New Zealand ranked at the top in exports of “030369 – Fish; frozen, of Bregmacerotidae, Euclichthyidae, Gadidae, Macrouridae, Melanonidae, Merlucciidae, Moridae, Muraenolepididae, other than cod, haddock, coalfish, hake, Alaska pollack, blue whitings, excluding fillets, livers, roes, other fish meat of 0304” total export value 55,295,655.0USD
New Zealand is followed by India: 19,512,234.0USD
Russian Federation: 12,911,014.0USD
Ireland: 9,935,682.0USD
Spain: 8,327,758.0USD and
Denmark: 8,119,954.0USD
New Zealand is followed by India: 19,512,234.0USD
Russian Federation: 12,911,014.0USD
Ireland: 9,935,682.0USD
Spain: 8,327,758.0USD and
Denmark: 8,119,954.0USD
Supplier country’s “export value per KG” of (HScode:030369)
Another graph below is displaying:
“The export value per KG in USD”(The Total Weight divides the Total Export Value)
This graph shows which country exports items at a lower price in comparison with the other countries.
“The export value per KG in USD”(The Total Weight divides the Total Export Value)
This graph shows which country exports items at a lower price in comparison with the other countries.
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Kazakhstan ranked first in Exports “030369 – Fish; frozen, of Bregmacerotidae, Euclichthyidae, Gadidae, Macrouridae, Melanonidae, Merlucciidae, Moridae, Muraenolepididae, other than cod, haddock, coalfish, hake, Alaska pollack, blue whitings, excluding fillets, livers, roes, other fish meat of 0304” at the lowest price of 0.33USD/KG Kazakhstan is followed by Ireland0.51USD/KG, Japan1.01USD/KG, Lithuania1.05USD/KG, Russian Federation1.12USD/KG, and Luxembourg1.18USD/KG
Import Trade Statistics of (HScode:030369)
The statistics show the ranking of
030369 – Fish; frozen, of Bregmacerotidae, Euclichthyidae, Gadidae, Macrouridae, Melanonidae, Merlucciidae, Moridae, Muraenolepididae, other than cod, haddock, coalfish, hake, Alaska pollack, blue whitings, excluding fillets, livers, roes, other fish meat of 0304(HScode:030369) worldwide in 2017
030369 – Fish; frozen, of Bregmacerotidae, Euclichthyidae, Gadidae, Macrouridae, Melanonidae, Merlucciidae, Moridae, Muraenolepididae, other than cod, haddock, coalfish, hake, Alaska pollack, blue whitings, excluding fillets, livers, roes, other fish meat of 0304(HScode:030369) worldwide in 2017
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the top importing countries worldwide in 2017
Egypt ranked first in imports of “030369 – Fish; frozen, of Bregmacerotidae, Euclichthyidae, Gadidae, Macrouridae, Melanonidae, Merlucciidae, Moridae, Muraenolepididae, other than cod, haddock, coalfish, hake, Alaska pollack, blue whitings, excluding fillets, livers, roes, other fish meat of 0304” Total import value 76,321,252.0USD
Egypt is followed by China: 55,808,682.0USD
Nigeria: 13,188,930.0USD
Portugal: 9,515,147.0USD
Russian Federation: 4,887,802.0USD and
Togo: 3,464,024.0USD
Egypt ranked first in imports of “030369 – Fish; frozen, of Bregmacerotidae, Euclichthyidae, Gadidae, Macrouridae, Melanonidae, Merlucciidae, Moridae, Muraenolepididae, other than cod, haddock, coalfish, hake, Alaska pollack, blue whitings, excluding fillets, livers, roes, other fish meat of 0304” Total import value 76,321,252.0USD
Egypt is followed by China: 55,808,682.0USD
Nigeria: 13,188,930.0USD
Portugal: 9,515,147.0USD
Russian Federation: 4,887,802.0USD and
Togo: 3,464,024.0USD
Buyer country’s “import Value per KG” of (HScode:030369)
The graph below is displaying:
“Import Value per KG in USD”(the total weight divides the total Import value)
It shows which country imports items at a higher price and comparison with other countries.
“Import Value per KG in USD”(the total weight divides the total Import value)
It shows which country imports items at a higher price and comparison with other countries.
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China, Hong Kong SAR ranked first in imports “030369 – Fish; frozen, of Bregmacerotidae, Euclichthyidae, Gadidae, Macrouridae, Melanonidae, Merlucciidae, Moridae, Muraenolepididae, other than cod, haddock, coalfish, hake, Alaska pollack, blue whitings, excluding fillets, livers, roes, other fish meat of 0304” at the highest price of 22.54/KG China, Hong Kong SAR is followed by Botswana, Belgium, Germany, Austria, and Luxembourg
Table data of “030369 – Fish; frozen, of Bregmacerotidae, Euclichthyidae, Gadidae, Macrouridae, Melanonidae, Merlucciidae, Moridae, Muraenolepididae, other than cod, haddock, coalfish, hake, Alaska pollack, blue whitings, excluding fillets, livers, roes, other fish meat of 0304″(HS:030369)[Export]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | France | FRA | 2017 | Export | 92,627.0 | 14,690.0 | NaN | 14690.0 | 6.31 |
| 1 | Ireland | IRL | 2017 | Export | 9,935,682.0 | 19,612,739.0 | NaN | 19612739.0 | 0.51 |
| 2 | Belarus | BLR | 2017 | Export | 87,000.0 | 45,150.0 | NaN | 45150.0 | 1.93 |
| 3 | Netherlands | NLD | 2017 | Export | 867,137.0 | 545,387.0 | NaN | 545387.0 | 1.59 |
| 4 | Spain | ESP | 2017 | Export | 8,327,758.0 | 3,838,597.0 | NaN | 3838597.0 | 2.17 |
| 5 | Denmark | DNK | 2017 | Export | 8,119,954.0 | 4,319,178.0 | NaN | 4319178.0 | 1.88 |
| 6 | Japan | JPN | 2017 | Export | 711,376.0 | 703,516.0 | NaN | 703516.0 | 1.01 |
| 7 | Malaysia | MYS | 2017 | Export | 608,307.0 | 320,572.0 | NaN | 320572.0 | 1.90 |
| 8 | Myanmar | MMR | 2017 | Export | 56,966.0 | 36,053.0 | NaN | 36053.0 | 1.58 |
| 9 | New Zealand | NZL | 2017 | Export | 55,295,655.0 | 31,559,403.0 | NaN | 31559403.0 | 1.75 |
| 10 | Georgia | GEO | 2017 | Export | 53,980.0 | 32,221.0 | NaN | 32221.0 | 1.68 |
| 11 | Bosnia Herzegovina | BIH | 2017 | Export | 53,480.0 | 30,964.0 | NaN | 30964.0 | 1.73 |
| 12 | Senegal | SEN | 2017 | Export | 516,211.0 | 168,230.0 | NaN | 168230.0 | 3.07 |
| 13 | Latvia | LVA | 2017 | Export | 48,912.0 | 39,286.0 | NaN | 39286.0 | 1.25 |
| 14 | Nicaragua | NIC | 2017 | Export | 48,142.0 | 18,234.0 | NaN | 18234.0 | 2.64 |
| 15 | Rep. of Korea | KOR | 2017 | Export | 419,219.0 | 281,088.0 | NaN | 281088.0 | 1.49 |
| 16 | Argentina | ARG | 2017 | Export | 4,424,776.0 | 3,297,989.0 | NaN | 3297989.0 | 1.34 |
| 17 | China, Hong Kong SAR | HKG | 2017 | Export | 355,823.0 | 23,943.0 | NaN | 23943.0 | 14.86 |
| 18 | Slovakia | SVK | 2017 | Export | 34,750.0 | 15,368.0 | NaN | 15368.0 | 2.26 |
| 19 | Lithuania | LTU | 2017 | Export | 324,264.0 | 309,016.0 | NaN | 309016.0 | 1.05 |
| 20 | Fiji | FJI | 2017 | Export | 302,479.0 | 108,515.0 | NaN | 108515.0 | 2.79 |
| 21 | Norway | NOR | 2017 | Export | 3,997,027.0 | 1,349,234.0 | NaN | 1349234.0 | 2.96 |
| 22 | Indonesia | IDN | 2017 | Export | 3,692,057.0 | 1,846,461.0 | NaN | 1846461.0 | 2.00 |
| 23 | Ecuador | ECU | 2017 | Export | 3,138,818.0 | 1,804,565.0 | NaN | 1932029.0 | 1.74 |
| 24 | Iceland | ISL | 2017 | Export | 293,928.0 | 167,669.0 | NaN | 167669.0 | 1.75 |
| 25 | Madagascar | MDG | 2017 | Export | 293,424.0 | 94,897.0 | NaN | 94897.0 | 3.09 |
| 26 | Germany | DEU | 2017 | Export | 287,668.0 | 133,756.0 | NaN | 133756.0 | 2.15 |
| 27 | Kazakhstan | KAZ | 2017 | Export | 21,499.0 | 65,850.0 | NaN | 65850.0 | 0.33 |
| 28 | Peru | PER | 2017 | Export | 2,884,311.0 | 624,126.0 | NaN | 624126.0 | 4.62 |
| 29 | China | CHN | 2017 | Export | 2,663,942.0 | 1,857,500.0 | NaN | 1857500.0 | 1.43 |
| 30 | Australia | AUS | 2017 | Export | 2,540,353.0 | 576,737.0 | NaN | 576737.0 | 4.40 |
| 31 | Portugal | PRT | 2017 | Export | 2,049,999.0 | 751,742.0 | NaN | 751742.0 | 2.73 |
| 32 | Sweden | SWE | 2017 | Export | 197,662.0 | 71,380.0 | NaN | 71380.0 | 2.77 |
| 33 | Egypt | EGY | 2017 | Export | 195,221.0 | 103,842.0 | NaN | 103842.0 | 1.88 |
| 34 | India | IND | 2017 | Export | 19,512,234.0 | 7,131,802.0 | NaN | 7131802.0 | 2.74 |
| 35 | Belgium | BEL | 2017 | Export | 186,508.0 | 38,332.0 | NaN | 38332.0 | 4.87 |
| 36 | Uruguay | URY | 2017 | Export | 180,867.0 | 121,821.0 | NaN | 121821.0 | 1.48 |
| 37 | Kenya | KEN | 2017 | Export | 17,859.0 | 10,000.0 | NaN | 10000.0 | 1.79 |
| 38 | Canada | CAN | 2017 | Export | 161,667.0 | 76,801.0 | NaN | 76801.0 | 2.11 |
| 39 | Russian Federation | RUS | 2017 | Export | 12,911,014.0 | 11,485,885.0 | NaN | 11485885.0 | 1.12 |
| 40 | Namibia | NAM | 2017 | Export | 116,275.0 | 58,575.0 | NaN | 58575.0 | 1.99 |
| 41 | Chile | CHL | 2017 | Export | 102,323.0 | 86,827.0 | NaN | 86827.0 | 1.18 |
| 42 | Czechia | CZE | 2017 | Export | 100,427.0 | 15,638.0 | NaN | 15638.0 | 6.42 |
| 43 | Italy | ITA | 2017 | Export | 1,955,232.0 | 217,702.0 | NaN | 217702.0 | 8.98 |
| 44 | Philippines | PHL | 2017 | Export | 1,556,362.0 | 391,088.0 | NaN | 356242.0 | 3.98 |
| 45 | USA | USA | 2017 | Export | 1,420,190.0 | 577,223.0 | NaN | 577223.0 | 2.46 |
| 46 | South Africa | ZAF | 2017 | Export | 1,234,326.0 | 571,852.0 | NaN | 571852.0 | 2.16 |
| 47 | Mexico | MEX | 2017 | Export | 1,150,480.0 | 465,770.0 | NaN | 465770.0 | 2.47 |
| 48 | United Kingdom | GBR | 2017 | Export | 1,084,487.0 | 150,980.0 | NaN | 150980.0 | 7.18 |
Table data of “030369 – Fish; frozen, of Bregmacerotidae, Euclichthyidae, Gadidae, Macrouridae, Melanonidae, Merlucciidae, Moridae, Muraenolepididae, other than cod, haddock, coalfish, hake, Alaska pollack, blue whitings, excluding fillets, livers, roes, other fish meat of 0304″(HS:030369)[Import]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Denmark | DNK | 2017 | Import | 992,771.0 | 536,064.0 | NaN | 536064.0 | 1.85 |
| 1 | Lithuania | LTU | 2017 | Import | 915,915.0 | 641,842.0 | NaN | 641842.0 | 1.43 |
| 2 | Portugal | PRT | 2017 | Import | 9,515,147.0 | 4,915,409.0 | NaN | 4915409.0 | 1.94 |
| 3 | Canada | CAN | 2017 | Import | 86,473.0 | 21,446.0 | NaN | 21446.0 | 4.03 |
| 4 | Jordan | JOR | 2017 | Import | 83,281.0 | 25,140.0 | NaN | 25140.0 | 3.31 |
| 5 | Ecuador | ECU | 2017 | Import | 82,245.0 | 101,410.0 | NaN | 101410.0 | 0.81 |
| 6 | Brazil | BRA | 2017 | Import | 812,692.0 | 538,759.0 | NaN | 538759.0 | 1.51 |
| 7 | Egypt | EGY | 2017 | Import | 76,321,252.0 | 41,211,027.0 | NaN | 41211027.0 | 1.85 |
| 8 | Bosnia Herzegovina | BIH | 2017 | Import | 731,825.0 | 465,379.0 | NaN | 465379.0 | 1.57 |
| 9 | Ukraine | UKR | 2017 | Import | 714,685.0 | 477,628.0 | NaN | 477628.0 | 1.50 |
| 10 | Rep. of Moldova | MDA | 2017 | Import | 608,253.0 | 400,642.0 | NaN | 400642.0 | 1.52 |
| 11 | Colombia | COL | 2017 | Import | 573,250.0 | 374,000.0 | NaN | 374000.0 | 1.53 |
| 12 | United Rep. of Tanzania | TZA | 2017 | Import | 56,200.0 | 54,000.0 | NaN | 54000.0 | 1.04 |
| 13 | Germany | DEU | 2017 | Import | 558,646.0 | 111,383.0 | NaN | 111383.0 | 5.02 |
| 14 | China | CHN | 2017 | Import | 55,808,682.0 | 31,268,500.0 | NaN | 31268500.0 | 1.78 |
| 15 | Azerbaijan | AZE | 2017 | Import | 55,102.0 | 30,720.0 | NaN | 30720.0 | 1.79 |
| 16 | Greece | GRC | 2017 | Import | 533,034.0 | 216,782.0 | NaN | 216782.0 | 2.46 |
| 17 | Sudan | SDN | 2017 | Import | 52,757.0 | 28,487.0 | NaN | 28487.0 | 1.85 |
| 18 | India | IND | 2017 | Import | 491,958.0 | 936,795.0 | NaN | 936795.0 | 0.53 |
| 19 | Fiji | FJI | 2017 | Import | 49,677.0 | 47,730.0 | NaN | 47730.0 | 1.04 |
| 20 | Kazakhstan | KAZ | 2017 | Import | 46,559.0 | 30,984.0 | NaN | 30984.0 | 1.50 |
| 21 | Sweden | SWE | 2017 | Import | 457,860.0 | 182,305.0 | NaN | 182305.0 | 2.51 |
| 22 | New Zealand | NZL | 2017 | Import | 42,984.0 | 16,520.0 | NaN | 16520.0 | 2.60 |
| 23 | Russian Federation | RUS | 2017 | Import | 4,887,802.0 | 2,717,565.0 | NaN | 2717565.0 | 1.80 |
| 24 | Botswana | BWA | 2017 | Import | 396,960.0 | 73,453.0 | NaN | 73453.0 | 5.40 |
| 25 | Netherlands | NLD | 2017 | Import | 330,874.0 | 499,126.0 | NaN | 499126.0 | 0.66 |
| 26 | Armenia | ARM | 2017 | Import | 31,373.0 | 17,028.0 | NaN | 17028.0 | 1.84 |
| 27 | Togo | TGO | 2017 | Import | 3,464,024.0 | 6,600,621.0 | NaN | 353169.0 | 0.52 |
| 28 | Kuwait | KWT | 2017 | Import | 297,739.0 | 147,253.0 | NaN | 147253.0 | 2.02 |
| 29 | Luxembourg | LUX | 2017 | Import | 286,779.0 | 66,360.0 | NaN | 66360.0 | 4.32 |
| 30 | Bulgaria | BGR | 2017 | Import | 284,149.0 | 202,048.0 | NaN | 202048.0 | 1.41 |
| 31 | United Kingdom | GBR | 2017 | Import | 28,969.0 | 12,405.0 | NaN | 12405.0 | 2.34 |
| 32 | Georgia | GEO | 2017 | Import | 270,534.0 | 269,921.0 | NaN | 269921.0 | 1.00 |
| 33 | Austria | AUT | 2017 | Import | 269,535.0 | 57,620.0 | NaN | 57620.0 | 4.68 |
| 34 | Indonesia | IDN | 2017 | Import | 265,113.0 | 92,175.0 | NaN | 92175.0 | 2.88 |
| 35 | Czechia | CZE | 2017 | Import | 264,853.0 | 63,344.0 | NaN | 63344.0 | 4.18 |
| 36 | Slovakia | SVK | 2017 | Import | 252,685.0 | 107,647.0 | NaN | 107647.0 | 2.35 |
| 37 | Mozambique | MOZ | 2017 | Import | 233,711.0 | 235,860.0 | NaN | 158426.0 | 0.99 |
| 38 | Spain | ESP | 2017 | Import | 2,933,926.0 | 1,033,356.0 | NaN | 1033356.0 | 2.84 |
| 39 | Mauritius | MUS | 2017 | Import | 2,814,466.0 | 834,368.0 | NaN | 834368.0 | 3.37 |
| 40 | China, Hong Kong SAR | HKG | 2017 | Import | 2,691,966.0 | 119,421.0 | NaN | 119421.0 | 22.54 |
| 41 | Malaysia | MYS | 2017 | Import | 2,544,484.0 | 1,772,658.0 | NaN | 1772658.0 | 1.44 |
| 42 | Belarus | BLR | 2017 | Import | 2,526,500.0 | 1,436,070.0 | NaN | 1436070.0 | 1.76 |
| 43 | USA | USA | 2017 | Import | 2,401,336.0 | 873,161.0 | NaN | 873161.0 | 2.75 |
| 44 | Sri Lanka | LKA | 2017 | Import | 2,356,664.0 | 1,416,186.0 | NaN | 1416186.0 | 1.66 |
| 45 | South Africa | ZAF | 2017 | Import | 196,666.0 | 122,274.0 | NaN | 122274.0 | 1.61 |
| 46 | Estonia | EST | 2017 | Import | 193,586.0 | 128,326.0 | NaN | 128326.0 | 1.51 |
| 47 | Hungary | HUN | 2017 | Import | 175,321.0 | 95,843.0 | NaN | 95843.0 | 1.83 |
| 48 | Oman | OMN | 2017 | Import | 165,937.0 | 76,291.0 | NaN | 76291.0 | 2.18 |
| 49 | Turkey | TUR | 2017 | Import | 16,674.0 | 15,000.0 | NaN | 15000.0 | 1.11 |
| 50 | Montenegro | MNE | 2017 | Import | 151,696.0 | 97,109.0 | NaN | 97109.0 | 1.56 |
| 51 | Philippines | PHL | 2017 | Import | 142,690.0 | 59,041.0 | NaN | 54633.0 | 2.42 |
| 52 | Zambia | ZMB | 2017 | Import | 13,623.0 | 27,032.0 | NaN | 27032.0 | 0.50 |
| 53 | Nigeria | NGA | 2017 | Import | 13,188,930.0 | 7,121,599.0 | NaN | 7121599.0 | 1.85 |
| 54 | Latvia | LVA | 2017 | Import | 125,082.0 | 69,832.0 | NaN | 69832.0 | 1.79 |
| 55 | Rep. of Korea | KOR | 2017 | Import | 118,771.0 | 51,725.0 | NaN | 51725.0 | 2.30 |
| 56 | Tunisia | TUN | 2017 | Import | 117,745.0 | 69,718.0 | NaN | 69718.0 | 1.69 |
| 57 | Japan | JPN | 2017 | Import | 113,447.0 | 61,389.0 | NaN | 61389.0 | 1.85 |
| 58 | Dominican Rep. | DOM | 2017 | Import | 110,748.0 | 59,800.0 | NaN | 59800.0 | 1.85 |
| 59 | Israel | ISR | 2017 | Import | 108,000.0 | 54,980.0 | NaN | 54980.0 | 1.96 |
| 60 | Australia | AUS | 2017 | Import | 104,268.0 | 30,953.0 | NaN | 30953.0 | 3.37 |
| 61 | Serbia | SRB | 2017 | Import | 100,719.0 | 58,214.0 | NaN | 58214.0 | 1.73 |
| 62 | Romania | ROU | 2017 | Import | 1,989,635.0 | 1,490,244.0 | NaN | 1490244.0 | 1.34 |
| 63 | Ghana | GHA | 2017 | Import | 1,928,867.0 | 2,376,060.0 | NaN | 2376060.0 | 0.81 |
| 64 | Belgium | BEL | 2017 | Import | 1,687,614.0 | 320,394.0 | NaN | 320394.0 | 5.27 |
| 65 | Brunei Darussalam | BRN | 2017 | Import | 1,614,507.0 | 416,635.0 | NaN | 416635.0 | 3.88 |
| 66 | France | FRA | 2017 | Import | 1,413,843.0 | 412,036.0 | NaN | 412036.0 | 3.43 |
| 67 | Italy | ITA | 2017 | Import | 1,348,251.0 | 326,963.0 | NaN | 326963.0 | 4.12 |
| 68 | Poland | POL | 2017 | Import | 1,232,105.0 | 908,096.0 | NaN | 908096.0 | 1.36 |