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
“Machines; parts of converters, ladles, ingot moulds and casting machines, of a kind used in metallurgy or in metal foundries”(HScode:845490)
The graphs that have been shared show the International Trade Price and Weight of
“Machines; parts of converters, ladles, ingot moulds and casting machines, of a kind used in metallurgy or in metal foundries”(HScode:845490)
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:845490)
Here is a graph which shows export statistics of
845490 – Machines; parts of converters, ladles, ingot moulds and casting machines, of a kind used in metallurgy or in metal foundries(HScode:845490) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
845490 – Machines; parts of converters, ladles, ingot moulds and casting machines, of a kind used in metallurgy or in metal foundries(HScode:845490) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
According to the stats, China ranked at the top in exports of “845490 – Machines; parts of converters, ladles, ingot moulds and casting machines, of a kind used in metallurgy or in metal foundries” total export value 277,651,564.0USD
China is followed by Germany: 208,918,741.0USD
Italy: 161,623,421.0USD
USA: 99,562,435.0USD
Japan: 85,358,982.0USD and
Canada: 81,276,691.0USD
China is followed by Germany: 208,918,741.0USD
Italy: 161,623,421.0USD
USA: 99,562,435.0USD
Japan: 85,358,982.0USD and
Canada: 81,276,691.0USD
Supplier country’s “export value per KG” of (HScode:845490)
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.
Jordan ranked first in Exports “845490 – Machines; parts of converters, ladles, ingot moulds and casting machines, of a kind used in metallurgy or in metal foundries” at the lowest price of 0.71USD/KG Jordan is followed by Lebanon1.69USD/KG, TFYR of Macedonia1.76USD/KG, Czechia2.94USD/KG, Romania3.04USD/KG, and Bosnia Herzegovina3.25USD/KG
Import Trade Statistics of (HScode:845490)
The statistics show the ranking of
845490 – Machines; parts of converters, ladles, ingot moulds and casting machines, of a kind used in metallurgy or in metal foundries(HScode:845490) worldwide in 2017
845490 – Machines; parts of converters, ladles, ingot moulds and casting machines, of a kind used in metallurgy or in metal foundries(HScode:845490) worldwide in 2017
the top importing countries worldwide in 2017
USA ranked first in imports of “845490 – Machines; parts of converters, ladles, ingot moulds and casting machines, of a kind used in metallurgy or in metal foundries” Total import value 269,041,896.0USD
USA is followed by China: 85,566,474.0USD
Germany: 72,342,231.0USD
Italy: 58,941,883.0USD
India: 44,686,142.0USD and
Japan: 38,143,969.0USD
USA ranked first in imports of “845490 – Machines; parts of converters, ladles, ingot moulds and casting machines, of a kind used in metallurgy or in metal foundries” Total import value 269,041,896.0USD
USA is followed by China: 85,566,474.0USD
Germany: 72,342,231.0USD
Italy: 58,941,883.0USD
India: 44,686,142.0USD and
Japan: 38,143,969.0USD
Buyer country’s “import Value per KG” of (HScode:845490)
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.
Armenia ranked first in imports “845490 – Machines; parts of converters, ladles, ingot moulds and casting machines, of a kind used in metallurgy or in metal foundries” at the highest price of 54.88/KG Armenia is followed by Serbia, Peru, China, Mexico, and Bosnia Herzegovina
Table data of “845490 – Machines; parts of converters, ladles, ingot moulds and casting machines, of a kind used in metallurgy or in metal foundries”(HS:845490)[Export]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Brazil | BRA | 2017 | Export | 977,991.0 | 15,785.0 | NaN | 15785.0 | 61.96 |
| 1 | Australia | AUS | 2017 | Export | 889,085.0 | 23,878.0 | NaN | 23878.0 | 37.23 |
| 2 | Japan | JPN | 2017 | Export | 85,358,982.0 | 2,133,581.0 | NaN | 2133581.0 | 40.01 |
| 3 | Lebanon | LBN | 2017 | Export | 84,798.0 | 50,050.0 | NaN | 50050.0 | 1.69 |
| 4 | Mexico | MEX | 2017 | Export | 806,487.0 | 134,773.0 | NaN | 134773.0 | 5.98 |
| 5 | Poland | POL | 2017 | Export | 8,037,141.0 | 2,443,949.0 | NaN | 2443949.0 | 3.29 |
| 6 | Finland | FIN | 2017 | Export | 7,646,712.0 | 231,389.0 | NaN | 231389.0 | 33.05 |
| 7 | Netherlands | NLD | 2017 | Export | 7,613,844.0 | 573,926.0 | NaN | 573926.0 | 13.27 |
| 8 | Portugal | PRT | 2017 | Export | 671,512.0 | 32,167.0 | NaN | 32167.0 | 20.88 |
| 9 | TFYR of Macedonia | MKD | 2017 | Export | 67,684.0 | 38,536.0 | NaN | 38536.0 | 1.76 |
| 10 | Ukraine | UKR | 2017 | Export | 6,469,842.0 | 1,993,350.0 | NaN | 1993350.0 | 3.25 |
| 11 | Sweden | SWE | 2017 | Export | 6,252,316.0 | 796,327.0 | NaN | 796327.0 | 7.85 |
| 12 | Jordan | JOR | 2017 | Export | 59,859.0 | 84,000.0 | NaN | 84000.0 | 0.71 |
| 13 | Switzerland | CHE | 2017 | Export | 59,485,619.0 | 2,452,476.0 | NaN | 2452476.0 | 24.26 |
| 14 | Romania | ROU | 2017 | Export | 538,080.0 | 176,895.0 | NaN | 176895.0 | 3.04 |
| 15 | Belarus | BLR | 2017 | Export | 53,800.0 | 14,939.0 | NaN | 14939.0 | 3.60 |
| 16 | Denmark | DNK | 2017 | Export | 524,375.0 | 14,083.0 | NaN | 14083.0 | 37.23 |
| 17 | Austria | AUT | 2017 | Export | 50,116,883.0 | 2,656,892.0 | NaN | 2656892.0 | 18.86 |
| 18 | Malaysia | MYS | 2017 | Export | 5,444,815.0 | 918,796.0 | NaN | 918796.0 | 5.93 |
| 19 | Serbia | SRB | 2017 | Export | 447,118.0 | 14,221.0 | NaN | 14221.0 | 31.44 |
| 20 | Singapore | SGP | 2017 | Export | 4,803,486.0 | 129,011.0 | NaN | 129011.0 | 37.23 |
| 21 | Bulgaria | BGR | 2017 | Export | 4,786,268.0 | 323,178.0 | NaN | 323178.0 | 14.81 |
| 22 | South Africa | ZAF | 2017 | Export | 290,396.0 | 51,227.0 | NaN | 51227.0 | 5.67 |
| 23 | Spain | ESP | 2017 | Export | 29,901,137.0 | 1,743,311.0 | NaN | 1743311.0 | 17.15 |
| 24 | China | CHN | 2017 | Export | 277,651,564.0 | 71,211,958.0 | NaN | 71211958.0 | 3.90 |
| 25 | France | FRA | 2017 | Export | 23,200,562.0 | 467,443.0 | NaN | 467443.0 | 49.63 |
| 26 | Belgium | BEL | 2017 | Export | 22,996,627.0 | 923,781.0 | NaN | 923781.0 | 24.89 |
| 27 | Rep. of Korea | KOR | 2017 | Export | 22,416,029.0 | 1,865,344.0 | NaN | 1865344.0 | 12.02 |
| 28 | Germany | DEU | 2017 | Export | 208,918,741.0 | 7,680,256.0 | NaN | 7680256.0 | 27.20 |
| 29 | Estonia | EST | 2017 | Export | 172,025.0 | 20,311.0 | NaN | 20311.0 | 8.47 |
| 30 | Turkey | TUR | 2017 | Export | 17,888,341.0 | 2,586,744.0 | NaN | 2586744.0 | 6.92 |
| 31 | Italy | ITA | 2017 | Export | 161,623,421.0 | 10,252,830.0 | NaN | 10252830.0 | 15.76 |
| 32 | United Kingdom | GBR | 2017 | Export | 16,690,024.0 | 413,511.0 | NaN | 413511.0 | 40.36 |
| 33 | Czechia | CZE | 2017 | Export | 13,995,080.0 | 4,756,584.0 | NaN | 4756584.0 | 2.94 |
| 34 | India | IND | 2017 | Export | 12,736,487.0 | 2,583,944.0 | NaN | 2583944.0 | 4.93 |
| 35 | China, Hong Kong SAR | HKG | 2017 | Export | 11,946,524.0 | 1,053,366.0 | NaN | 1053366.0 | 11.34 |
| 36 | Philippines | PHL | 2017 | Export | 10,405,505.0 | 571,098.0 | NaN | 571098.0 | 18.22 |
| 37 | Hungary | HUN | 2017 | Export | 1,706,530.0 | 413,402.0 | NaN | 413402.0 | 4.13 |
| 38 | Slovakia | SVK | 2017 | Export | 1,653,175.0 | 178,793.0 | NaN | 178793.0 | 9.25 |
| 39 | Russian Federation | RUS | 2017 | Export | 1,248,395.0 | 217,521.0 | NaN | 217521.0 | 5.74 |
| 40 | Indonesia | IDN | 2017 | Export | 1,218,138.0 | 42,408.0 | NaN | 42408.0 | 28.72 |
| 41 | Lithuania | LTU | 2017 | Export | 1,079,063.0 | 56,858.0 | NaN | 56858.0 | 18.98 |
Table data of “845490 – Machines; parts of converters, ladles, ingot moulds and casting machines, of a kind used in metallurgy or in metal foundries”(HS:845490)[Import]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Kuwait | KWT | 2017 | Import | 956,537.0 | 47,897.0 | NaN | 47897.0 | 19.97 |
| 1 | Denmark | DNK | 2017 | Import | 956,019.0 | 31,572.0 | NaN | 31572.0 | 30.28 |
| 2 | Georgia | GEO | 2017 | Import | 91,918.0 | 11,656.0 | NaN | 11656.0 | 7.89 |
| 3 | Malaysia | MYS | 2017 | Import | 9,976,191.0 | 671,470.0 | NaN | 671470.0 | 14.86 |
| 4 | Belgium | BEL | 2017 | Import | 9,839,905.0 | 974,765.0 | NaN | 974765.0 | 10.09 |
| 5 | Turkey | TUR | 2017 | Import | 9,771,232.0 | 397,846.0 | NaN | 397846.0 | 24.56 |
| 6 | Switzerland | CHE | 2017 | Import | 9,477,674.0 | 1,411,384.0 | NaN | 1411384.0 | 6.72 |
| 7 | China | CHN | 2017 | Import | 85,566,474.0 | 2,258,021.0 | NaN | 2258021.0 | 37.89 |
| 8 | Myanmar | MMR | 2017 | Import | 85,378.0 | 63,739.0 | NaN | 63739.0 | 1.34 |
| 9 | Chile | CHL | 2017 | Import | 840,218.0 | 52,478.0 | NaN | 52478.0 | 16.01 |
| 10 | Hungary | HUN | 2017 | Import | 8,644,804.0 | 268,015.0 | NaN | 268015.0 | 32.25 |
| 11 | Germany | DEU | 2017 | Import | 72,342,231.0 | 5,555,984.0 | NaN | 5555984.0 | 13.02 |
| 12 | Peru | PER | 2017 | Import | 700,065.0 | 17,281.0 | NaN | 17281.0 | 40.51 |
| 13 | Serbia | SRB | 2017 | Import | 622,532.0 | 13,356.0 | NaN | 13356.0 | 46.61 |
| 14 | Ecuador | ECU | 2017 | Import | 609,466.0 | 47,654.0 | NaN | 47654.0 | 12.79 |
| 15 | Finland | FIN | 2017 | Import | 6,707,866.0 | 909,132.0 | NaN | 909132.0 | 7.38 |
| 16 | Iceland | ISL | 2017 | Import | 595,825.0 | 30,623.0 | NaN | 30623.0 | 19.46 |
| 17 | Italy | ITA | 2017 | Import | 58,941,883.0 | 7,925,312.0 | NaN | 7925312.0 | 7.44 |
| 18 | Colombia | COL | 2017 | Import | 578,627.0 | 28,921.0 | NaN | 28921.0 | 20.01 |
| 19 | Sudan | SDN | 2017 | Import | 548,018.0 | 18,098.0 | NaN | 18098.0 | 30.28 |
| 20 | Israel | ISR | 2017 | Import | 540,000.0 | 17,833.0 | NaN | 17833.0 | 30.28 |
| 21 | Sri Lanka | LKA | 2017 | Import | 515,749.0 | 45,671.0 | NaN | 45671.0 | 11.29 |
| 22 | Bosnia Herzegovina | BIH | 2017 | Import | 507,039.0 | 14,679.0 | NaN | 14679.0 | 34.54 |
| 23 | Sweden | SWE | 2017 | Import | 5,654,290.0 | 729,735.0 | NaN | 729735.0 | 7.75 |
| 24 | China, Hong Kong SAR | HKG | 2017 | Import | 5,403,923.0 | 917,495.0 | NaN | 917495.0 | 5.89 |
| 25 | India | IND | 2017 | Import | 44,686,142.0 | 3,159,436.0 | NaN | 3159436.0 | 14.14 |
| 26 | Morocco | MAR | 2017 | Import | 424,882.0 | 24,477.0 | NaN | 24477.0 | 17.36 |
| 27 | Cameroon | CMR | 2017 | Import | 418,960.0 | 92,198.0 | NaN | 92198.0 | 4.54 |
| 28 | Slovakia | SVK | 2017 | Import | 4,915,002.0 | 219,379.0 | NaN | 219379.0 | 22.40 |
| 29 | Oman | OMN | 2017 | Import | 4,680,061.0 | 454,549.0 | NaN | 454549.0 | 10.30 |
| 30 | Côte d’Ivoire | CIV | 2017 | Import | 391,538.0 | 16,119.0 | NaN | 16119.0 | 24.29 |
| 31 | Japan | JPN | 2017 | Import | 38,143,969.0 | 8,851,029.0 | NaN | 8851029.0 | 4.31 |
| 32 | TFYR of Macedonia | MKD | 2017 | Import | 334,508.0 | 27,501.0 | NaN | 27501.0 | 12.16 |
| 33 | Austria | AUT | 2017 | Import | 31,629,816.0 | 3,193,045.0 | NaN | 3193045.0 | 9.91 |
| 34 | Luxembourg | LUX | 2017 | Import | 304,889.0 | 119,945.0 | NaN | 119945.0 | 2.54 |
| 35 | France | FRA | 2017 | Import | 30,925,437.0 | 3,518,291.0 | NaN | 3518291.0 | 8.79 |
| 36 | Argentina | ARG | 2017 | Import | 3,904,877.0 | 130,616.0 | NaN | 130616.0 | 29.90 |
| 37 | Norway | NOR | 2017 | Import | 3,494,293.0 | 577,337.0 | NaN | 577337.0 | 6.05 |
| 38 | South Africa | ZAF | 2017 | Import | 3,454,662.0 | 283,194.0 | NaN | 283194.0 | 12.20 |
| 39 | Nigeria | NGA | 2017 | Import | 3,198,643.0 | 105,633.0 | NaN | 105633.0 | 30.28 |
| 40 | Australia | AUS | 2017 | Import | 3,015,738.0 | 99,593.0 | NaN | 99593.0 | 30.28 |
| 41 | Mozambique | MOZ | 2017 | Import | 284,812.0 | 22,454.0 | NaN | 35117.0 | 12.68 |
| 42 | Poland | POL | 2017 | Import | 28,635,613.0 | 1,302,322.0 | NaN | 1302322.0 | 21.99 |
| 43 | Algeria | DZA | 2017 | Import | 27,056,120.0 | 4,853,100.0 | NaN | 4853100.0 | 5.58 |
| 44 | USA | USA | 2017 | Import | 269,041,896.0 | 8,884,982.0 | NaN | 8884982.0 | 30.28 |
| 45 | Mexico | MEX | 2017 | Import | 24,266,387.0 | 699,883.0 | NaN | 699883.0 | 34.67 |
| 46 | Rep. of Korea | KOR | 2017 | Import | 24,113,078.0 | 916,885.0 | NaN | 916885.0 | 26.30 |
| 47 | Belarus | BLR | 2017 | Import | 239,200.0 | 15,997.0 | NaN | 15997.0 | 14.95 |
| 48 | Kenya | KEN | 2017 | Import | 216,337.0 | 195,298.0 | NaN | 197400.0 | 1.11 |
| 49 | Jordan | JOR | 2017 | Import | 202,054.0 | 14,822.0 | NaN | 14822.0 | 13.63 |
| 50 | Russian Federation | RUS | 2017 | Import | 20,848,981.0 | 2,494,909.0 | NaN | 2494909.0 | 8.36 |
| 51 | Bulgaria | BGR | 2017 | Import | 2,967,399.0 | 179,335.0 | NaN | 179335.0 | 16.55 |
| 52 | Singapore | SGP | 2017 | Import | 2,603,013.0 | 85,963.0 | NaN | 85963.0 | 30.28 |
| 53 | Ukraine | UKR | 2017 | Import | 2,426,545.0 | 172,189.0 | NaN | 172189.0 | 14.09 |
| 54 | Portugal | PRT | 2017 | Import | 2,403,489.0 | 105,058.0 | NaN | 105058.0 | 22.88 |
| 55 | Kazakhstan | KAZ | 2017 | Import | 2,353,441.0 | 332,664.0 | NaN | 332664.0 | 7.07 |
| 56 | Greece | GRC | 2017 | Import | 2,042,405.0 | 90,435.0 | NaN | 90435.0 | 22.58 |
| 57 | Philippines | PHL | 2017 | Import | 19,447,573.0 | 988,098.0 | NaN | 988098.0 | 19.68 |
| 58 | Indonesia | IDN | 2017 | Import | 17,215,171.0 | 3,046,940.0 | NaN | 3046940.0 | 5.65 |
| 59 | Czechia | CZE | 2017 | Import | 15,556,322.0 | 1,804,775.0 | NaN | 1804775.0 | 8.62 |
| 60 | United Kingdom | GBR | 2017 | Import | 14,762,258.0 | 2,157,082.0 | NaN | 2157082.0 | 6.84 |
| 61 | Netherlands | NLD | 2017 | Import | 13,862,342.0 | 610,527.0 | NaN | 610527.0 | 22.71 |
| 62 | Iran | IRN | 2017 | Import | 13,781,901.0 | 1,221,039.0 | NaN | 1221039.0 | 11.29 |
| 63 | Viet Nam | VNM | 2017 | Import | 13,491,813.0 | 442,234.0 | NaN | 442234.0 | 30.51 |
| 64 | Ghana | GHA | 2017 | Import | 128,012.0 | 21,597.0 | NaN | 21597.0 | 5.93 |
| 65 | Spain | ESP | 2017 | Import | 12,968,256.0 | 1,014,969.0 | NaN | 1014969.0 | 12.78 |
| 66 | Zimbabwe | ZWE | 2017 | Import | 111,587.0 | 10,028.0 | NaN | 10028.0 | 11.13 |
| 67 | Uganda | UGA | 2017 | Import | 103,067.0 | 25,125.0 | NaN | 25125.0 | 4.10 |
| 68 | Romania | ROU | 2017 | Import | 10,532,061.0 | 712,017.0 | NaN | 712017.0 | 14.79 |
| 69 | Pakistan | PAK | 2017 | Import | 1,802,044.0 | 59,511.0 | NaN | 59511.0 | 30.28 |
| 70 | Zambia | ZMB | 2017 | Import | 1,625,988.0 | 248,875.0 | NaN | 248875.0 | 6.53 |
| 71 | Armenia | ARM | 2017 | Import | 1,370,161.0 | 24,968.0 | NaN | 24968.0 | 54.88 |
| 72 | Lithuania | LTU | 2017 | Import | 1,170,152.0 | 50,602.0 | NaN | 50602.0 | 23.12 |
| 73 | New Zealand | NZL | 2017 | Import | 1,003,345.0 | 33,135.0 | NaN | 33135.0 | 30.28 |