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 fillets; frozen, catfish (Pangasius spp., Silurus spp., Clarias spp., Ictalurus spp.)”(HScode:030462)
The graphs that have been shared show the International Trade Price and Weight of
“Fish fillets; frozen, catfish (Pangasius spp., Silurus spp., Clarias spp., Ictalurus spp.)”(HScode:030462)
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:030462)
Here is a graph which shows export statistics of
030462 – Fish fillets; frozen, catfish (Pangasius spp., Silurus spp., Clarias spp., Ictalurus spp.)(HScode:030462) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
030462 – Fish fillets; frozen, catfish (Pangasius spp., Silurus spp., Clarias spp., Ictalurus spp.)(HScode:030462) 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, China ranked at the top in exports of “030462 – Fish fillets; frozen, catfish (Pangasius spp., Silurus spp., Clarias spp., Ictalurus spp.)” total export value 29,906,190.0USD
China is followed by Netherlands: 21,878,040.0USD
Germany: 9,005,181.0USD
Belgium: 5,890,457.0USD
Singapore: 3,829,669.0USD and
USA: 3,232,977.0USD
China is followed by Netherlands: 21,878,040.0USD
Germany: 9,005,181.0USD
Belgium: 5,890,457.0USD
Singapore: 3,829,669.0USD and
USA: 3,232,977.0USD
Supplier country’s “export value per KG” of (HScode:030462)
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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Senegal ranked first in Exports “030462 – Fish fillets; frozen, catfish (Pangasius spp., Silurus spp., Clarias spp., Ictalurus spp.)” at the lowest price of 0.36USD/KG Senegal is followed by Malaysia0.86USD/KG, Romania1.35USD/KG, Georgia1.37USD/KG, Brazil1.4USD/KG, and United Kingdom1.92USD/KG
Import Trade Statistics of (HScode:030462)
The statistics show the ranking of
030462 – Fish fillets; frozen, catfish (Pangasius spp., Silurus spp., Clarias spp., Ictalurus spp.)(HScode:030462) worldwide in 2017
030462 – Fish fillets; frozen, catfish (Pangasius spp., Silurus spp., Clarias spp., Ictalurus spp.)(HScode:030462) worldwide in 2017
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the top importing countries worldwide in 2017
USA ranked first in imports of “030462 – Fish fillets; frozen, catfish (Pangasius spp., Silurus spp., Clarias spp., Ictalurus spp.)” Total import value 397,322,612.0USD
USA is followed by Mexico: 103,754,659.0USD
Brazil: 94,734,442.0USD
China: 92,661,630.0USD
United Kingdom: 47,473,645.0USD and
Netherlands: 42,895,291.0USD
USA ranked first in imports of “030462 – Fish fillets; frozen, catfish (Pangasius spp., Silurus spp., Clarias spp., Ictalurus spp.)” Total import value 397,322,612.0USD
USA is followed by Mexico: 103,754,659.0USD
Brazil: 94,734,442.0USD
China: 92,661,630.0USD
United Kingdom: 47,473,645.0USD and
Netherlands: 42,895,291.0USD
Buyer country’s “import Value per KG” of (HScode:030462)
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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Azerbaijan ranked first in imports “030462 – Fish fillets; frozen, catfish (Pangasius spp., Silurus spp., Clarias spp., Ictalurus spp.)” at the highest price of 8.82/KG Azerbaijan is followed by Austria, Rep. of Korea, Switzerland, Jamaica, and United Kingdom
Table data of “030462 – Fish fillets; frozen, catfish (Pangasius spp., Silurus spp., Clarias spp., Ictalurus spp.)”(HS:030462)[Export]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Senegal | SEN | 2017 | Export | 9,377.0 | 26,000.0 | NaN | 26000.0 | 0.36 |
1 | Germany | DEU | 2017 | Export | 9,005,181.0 | 2,847,047.0 | NaN | 2847047.0 | 3.16 |
2 | Portugal | PRT | 2017 | Export | 801,738.0 | 384,946.0 | NaN | 384946.0 | 2.08 |
3 | China, Hong Kong SAR | HKG | 2017 | Export | 641,240.0 | 319,121.0 | NaN | 319121.0 | 2.01 |
4 | Estonia | EST | 2017 | Export | 641,194.0 | 308,719.0 | NaN | 308719.0 | 2.08 |
5 | Czechia | CZE | 2017 | Export | 636,229.0 | 218,001.0 | NaN | 218001.0 | 2.92 |
6 | France | FRA | 2017 | Export | 629,150.0 | 181,224.0 | NaN | 181224.0 | 3.47 |
7 | Turkey | TUR | 2017 | Export | 572,676.0 | 188,342.0 | NaN | 188342.0 | 3.04 |
8 | Romania | ROU | 2017 | Export | 57,114.0 | 42,262.0 | NaN | 42262.0 | 1.35 |
9 | Greece | GRC | 2017 | Export | 54,113.0 | 12,925.0 | NaN | 12925.0 | 4.19 |
10 | United Kingdom | GBR | 2017 | Export | 522,217.0 | 158,841.0 | NaN | 158841.0 | 3.29 |
11 | New Zealand | NZL | 2017 | Export | 50,872.0 | 12,895.0 | NaN | 12895.0 | 3.95 |
12 | Belgium | BEL | 2017 | Export | 5,890,457.0 | 2,055,671.0 | NaN | 2055671.0 | 2.87 |
13 | Russian Federation | RUS | 2017 | Export | 486,415.0 | 220,117.0 | NaN | 220117.0 | 2.21 |
14 | Georgia | GEO | 2017 | Export | 41,150.0 | 30,000.0 | NaN | 30000.0 | 1.37 |
15 | Slovenia | SVN | 2017 | Export | 382,607.0 | 140,770.0 | NaN | 140770.0 | 2.72 |
16 | Slovakia | SVK | 2017 | Export | 374,902.0 | 88,366.0 | NaN | 88366.0 | 4.24 |
17 | Kenya | KEN | 2017 | Export | 35,315.0 | 13,250.0 | NaN | 13250.0 | 2.67 |
18 | Brazil | BRA | 2017 | Export | 35,030.0 | 25,000.0 | NaN | 25000.0 | 1.40 |
19 | Malaysia | MYS | 2017 | Export | 337,519.0 | 392,366.0 | NaN | 392366.0 | 0.86 |
20 | Indonesia | IDN | 2017 | Export | 33,436.0 | 11,635.0 | NaN | 11635.0 | 2.87 |
21 | Canada | CAN | 2017 | Export | 30,069.0 | 15,633.0 | NaN | 15633.0 | 1.92 |
22 | Singapore | SGP | 2017 | Export | 3,829,669.0 | 1,332,642.0 | NaN | 0.0 | 2.87 |
23 | USA | USA | 2017 | Export | 3,232,977.0 | 904,349.0 | NaN | 904349.0 | 3.57 |
24 | China | CHN | 2017 | Export | 29,906,190.0 | 4,512,303.0 | NaN | 4512303.0 | 6.63 |
25 | Lithuania | LTU | 2017 | Export | 253,410.0 | 110,699.0 | NaN | 110699.0 | 2.29 |
26 | Hungary | HUN | 2017 | Export | 217,232.0 | 39,973.0 | NaN | 39973.0 | 5.43 |
27 | Italy | ITA | 2017 | Export | 211,965.0 | 59,596.0 | NaN | 59596.0 | 3.56 |
28 | Netherlands | NLD | 2017 | Export | 21,878,040.0 | 6,539,033.0 | NaN | 6539033.0 | 3.35 |
29 | Australia | AUS | 2017 | Export | 202,978.0 | 63,018.0 | NaN | 63018.0 | 3.22 |
30 | Spain | ESP | 2017 | Export | 2,924,609.0 | 1,289,683.0 | NaN | 1289683.0 | 2.27 |
31 | Poland | POL | 2017 | Export | 2,161,823.0 | 923,708.0 | NaN | 923708.0 | 2.34 |
32 | Latvia | LVA | 2017 | Export | 196,979.0 | 101,794.0 | NaN | 101794.0 | 1.94 |
33 | Austria | AUT | 2017 | Export | 196,968.0 | 42,245.0 | NaN | 42245.0 | 4.66 |
34 | South Africa | ZAF | 2017 | Export | 183,569.0 | 57,319.0 | NaN | 57319.0 | 3.20 |
35 | Peru | PER | 2017 | Export | 135,078.0 | 48,670.0 | NaN | 48670.0 | 2.78 |
36 | Mexico | MEX | 2017 | Export | 133,720.0 | 50,911.0 | NaN | 50911.0 | 2.63 |
37 | Sweden | SWE | 2017 | Export | 130,056.0 | 50,058.0 | NaN | 50058.0 | 2.60 |
38 | Denmark | DNK | 2017 | Export | 1,405,351.0 | 489,032.0 | NaN | 489032.0 | 2.87 |
Table data of “030462 – Fish fillets; frozen, catfish (Pangasius spp., Silurus spp., Clarias spp., Ictalurus spp.)”(HS:030462)[Import]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Lithuania | LTU | 2017 | Import | 973,880.0 | 439,797.0 | NaN | 439797.0 | 2.21 |
1 | Brazil | BRA | 2017 | Import | 94,734,442.0 | 42,999,165.0 | NaN | 42999165.0 | 2.20 |
2 | Ghana | GHA | 2017 | Import | 94,151.0 | 137,690.0 | NaN | 137690.0 | 0.68 |
3 | Slovenia | SVN | 2017 | Import | 922,690.0 | 305,631.0 | NaN | 305631.0 | 3.02 |
4 | China | CHN | 2017 | Import | 92,661,630.0 | 40,031,426.0 | NaN | 40031426.0 | 2.31 |
5 | Jamaica | JAM | 2017 | Import | 84,386.0 | 23,618.0 | NaN | 23618.0 | 3.57 |
6 | Mauritius | MUS | 2017 | Import | 82,930.0 | 35,919.0 | NaN | 35919.0 | 2.31 |
7 | France | FRA | 2017 | Import | 8,386,598.0 | 3,133,113.0 | NaN | 3133113.0 | 2.68 |
8 | Portugal | PRT | 2017 | Import | 7,356,606.0 | 3,213,083.0 | NaN | 3213083.0 | 2.29 |
9 | Chile | CHL | 2017 | Import | 7,198,186.0 | 3,138,743.0 | NaN | 3138743.0 | 2.29 |
10 | Slovakia | SVK | 2017 | Import | 656,674.0 | 223,383.0 | NaN | 223383.0 | 2.94 |
11 | Switzerland | CHE | 2017 | Import | 6,663,351.0 | 1,676,115.0 | NaN | 1676115.0 | 3.98 |
12 | Finland | FIN | 2017 | Import | 537,042.0 | 187,445.0 | NaN | 187445.0 | 2.87 |
13 | Bosnia Herzegovina | BIH | 2017 | Import | 526,254.0 | 373,739.0 | NaN | 373739.0 | 1.41 |
14 | Belarus | BLR | 2017 | Import | 505,100.0 | 273,730.0 | NaN | 273730.0 | 1.85 |
15 | Ukraine | UKR | 2017 | Import | 5,858,985.0 | 4,321,720.0 | NaN | 4321720.0 | 1.36 |
16 | Greece | GRC | 2017 | Import | 5,213,684.0 | 2,810,292.0 | NaN | 2810292.0 | 1.86 |
17 | United Kingdom | GBR | 2017 | Import | 47,473,645.0 | 13,819,272.0 | NaN | 13819272.0 | 3.44 |
18 | Latvia | LVA | 2017 | Import | 449,778.0 | 231,480.0 | NaN | 231480.0 | 1.94 |
19 | Norway | NOR | 2017 | Import | 441,585.0 | 136,220.0 | NaN | 136220.0 | 3.24 |
20 | Netherlands | NLD | 2017 | Import | 42,895,291.0 | 14,662,196.0 | NaN | 14662196.0 | 2.93 |
21 | United Rep. of Tanzania | TZA | 2017 | Import | 41,025.0 | 27,426.0 | NaN | 27426.0 | 1.50 |
22 | Austria | AUT | 2017 | Import | 4,871,173.0 | 1,170,800.0 | NaN | 1170800.0 | 4.16 |
23 | Peru | PER | 2017 | Import | 4,739,411.0 | 2,299,904.0 | NaN | 2299904.0 | 2.06 |
24 | Hungary | HUN | 2017 | Import | 4,636,370.0 | 1,911,056.0 | NaN | 1911056.0 | 2.43 |
25 | USA | USA | 2017 | Import | 397,322,612.0 | 173,251,138.0 | NaN | 173251138.0 | 2.29 |
26 | Myanmar | MMR | 2017 | Import | 39,040.0 | 27,500.0 | NaN | 27500.0 | 1.42 |
27 | Azerbaijan | AZE | 2017 | Import | 353,303.0 | 40,050.0 | NaN | 40050.0 | 8.82 |
28 | Ireland | IRL | 2017 | Import | 318,182.0 | 174,743.0 | NaN | 174743.0 | 1.82 |
29 | Argentina | ARG | 2017 | Import | 313,682.0 | 125,000.0 | NaN | 125000.0 | 2.51 |
30 | Philippines | PHL | 2017 | Import | 31,499,405.0 | 22,691,790.0 | NaN | 21683487.0 | 1.39 |
31 | Singapore | SGP | 2017 | Import | 31,398,124.0 | 13,691,037.0 | NaN | 0.0 | 2.29 |
32 | Aruba | ABW | 2017 | Import | 30,240.0 | 11,000.0 | NaN | 11000.0 | 2.75 |
33 | Rep. of Korea | KOR | 2017 | Import | 3,789,419.0 | 917,589.0 | NaN | 917589.0 | 4.13 |
34 | Turkey | TUR | 2017 | Import | 3,669,650.0 | 1,117,355.0 | NaN | 1117355.0 | 3.28 |
35 | Romania | ROU | 2017 | Import | 3,354,139.0 | 2,463,341.0 | NaN | 2463341.0 | 1.36 |
36 | Denmark | DNK | 2017 | Import | 3,073,602.0 | 1,340,233.0 | NaN | 1340233.0 | 2.29 |
37 | Sweden | SWE | 2017 | Import | 3,061,583.0 | 1,083,659.0 | NaN | 1083659.0 | 2.83 |
38 | Germany | DEU | 2017 | Import | 29,073,942.0 | 9,934,108.0 | NaN | 9934108.0 | 2.93 |
39 | Georgia | GEO | 2017 | Import | 282,237.0 | 240,268.0 | NaN | 240268.0 | 1.17 |
40 | Bermuda | BMU | 2017 | Import | 275,334.0 | 101,844.0 | NaN | 101844.0 | 2.70 |
41 | Tunisia | TUN | 2017 | Import | 229,895.0 | 271,100.0 | NaN | 271100.0 | 0.85 |
42 | Brunei Darussalam | BRN | 2017 | Import | 213,804.0 | 190,884.0 | NaN | 190884.0 | 1.12 |
43 | Kyrgyzstan | KGZ | 2017 | Import | 21,876.0 | 18,230.0 | NaN | 18230.0 | 1.20 |
44 | Algeria | DZA | 2017 | Import | 2,838,234.0 | 1,686,290.0 | NaN | 1686290.0 | 1.68 |
45 | Kuwait | KWT | 2017 | Import | 2,779,568.0 | 1,587,304.0 | NaN | 1587304.0 | 1.75 |
46 | Uruguay | URY | 2017 | Import | 2,547,153.0 | 1,268,750.0 | NaN | 1268750.0 | 2.01 |
47 | Jordan | JOR | 2017 | Import | 2,423,427.0 | 1,210,315.0 | NaN | 1210315.0 | 2.00 |
48 | Serbia | SRB | 2017 | Import | 2,355,339.0 | 1,683,620.0 | NaN | 1683620.0 | 1.40 |
49 | Egypt | EGY | 2017 | Import | 2,322,993.0 | 1,012,933.0 | NaN | 1012933.0 | 2.29 |
50 | Cyprus | CYP | 2017 | Import | 2,226,265.0 | 1,011,006.0 | NaN | 1011006.0 | 2.20 |
51 | Israel | ISR | 2017 | Import | 2,071,000.0 | 1,019,130.0 | NaN | 1019130.0 | 2.03 |
52 | Japan | JPN | 2017 | Import | 19,909,872.0 | 6,074,236.0 | NaN | 6074236.0 | 3.28 |
53 | Luxembourg | LUX | 2017 | Import | 180,219.0 | 53,910.0 | NaN | 53910.0 | 3.34 |
54 | Spain | ESP | 2017 | Import | 18,000,932.0 | 7,442,857.0 | NaN | 7442857.0 | 2.42 |
55 | Russian Federation | RUS | 2017 | Import | 17,342,290.0 | 10,692,018.0 | NaN | 10692018.0 | 1.62 |
56 | Belgium | BEL | 2017 | Import | 16,786,962.0 | 5,624,547.0 | NaN | 5624547.0 | 2.98 |
57 | Australia | AUS | 2017 | Import | 16,043,450.0 | 5,851,941.0 | NaN | 5851941.0 | 2.74 |
58 | Colombia | COL | 2017 | Import | 15,288,071.0 | 9,775,320.0 | NaN | 9775320.0 | 1.56 |
59 | Sri Lanka | LKA | 2017 | Import | 148,312.0 | 91,130.0 | NaN | 91130.0 | 1.63 |
60 | TFYR of Macedonia | MKD | 2017 | Import | 146,426.0 | 71,150.0 | NaN | 71150.0 | 2.06 |
61 | Malaysia | MYS | 2017 | Import | 14,228,818.0 | 7,980,004.0 | NaN | 7980004.0 | 1.78 |
62 | India | IND | 2017 | Import | 13,558,840.0 | 10,135,446.0 | NaN | 10135446.0 | 1.34 |
63 | Italy | ITA | 2017 | Import | 13,486,499.0 | 6,454,162.0 | NaN | 6454162.0 | 2.09 |
64 | China, Hong Kong SAR | HKG | 2017 | Import | 13,037,648.0 | 6,106,730.0 | NaN | 6106730.0 | 2.13 |
65 | Montenegro | MNE | 2017 | Import | 121,255.0 | 61,319.0 | NaN | 61319.0 | 1.98 |
66 | Rep. of Moldova | MDA | 2017 | Import | 117,867.0 | 81,297.0 | NaN | 81297.0 | 1.45 |
67 | Poland | POL | 2017 | Import | 11,553,085.0 | 7,147,297.0 | NaN | 7147297.0 | 1.62 |
68 | Mexico | MEX | 2017 | Import | 103,754,659.0 | 57,226,405.0 | NaN | 57226405.0 | 1.81 |
69 | Dominican Rep. | DOM | 2017 | Import | 1,850,202.0 | 806,774.0 | NaN | 806774.0 | 2.29 |
70 | Nicaragua | NIC | 2017 | Import | 1,714,337.0 | 730,207.0 | NaN | 730207.0 | 2.35 |
71 | Honduras | HND | 2017 | Import | 1,576,408.0 | 654,497.0 | NaN | 1439652.0 | 2.41 |
72 | South Africa | ZAF | 2017 | Import | 1,507,130.0 | 597,219.0 | NaN | 597219.0 | 2.52 |
73 | New Zealand | NZL | 2017 | Import | 1,411,805.0 | 599,070.0 | NaN | 599070.0 | 2.36 |
74 | Kazakhstan | KAZ | 2017 | Import | 1,356,338.0 | 1,284,838.0 | NaN | 1284838.0 | 1.06 |
75 | Estonia | EST | 2017 | Import | 1,218,218.0 | 582,128.0 | NaN | 582128.0 | 2.09 |
76 | Czechia | CZE | 2017 | Import | 1,195,973.0 | 502,525.0 | NaN | 502525.0 | 2.38 |
77 | Bulgaria | BGR | 2017 | Import | 1,129,708.0 | 799,784.0 | NaN | 799784.0 | 1.41 |
78 | Oman | OMN | 2017 | Import | 1,038,730.0 | 714,907.0 | NaN | 714907.0 | 1.45 |
79 | Nepal | NPL | 2017 | Import | 1,003,921.0 | 529,610.0 | NaN | 529610.0 | 1.90 |