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
“Tools, hand; planes, chisels, gauges and similar cutting tools for working wood”(HScode:820530)
The graphs that have been shared show the International Trade Price and Weight of
“Tools, hand; planes, chisels, gauges and similar cutting tools for working wood”(HScode:820530)
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:820530)
Here is a graph which shows export statistics of
820530 – Tools, hand; planes, chisels, gauges and similar cutting tools for working wood(HScode:820530) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
820530 – Tools, hand; planes, chisels, gauges and similar cutting tools for working wood(HScode:820530) 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 “820530 – Tools, hand; planes, chisels, gauges and similar cutting tools for working wood” total export value 68,080,817.0USD
China is followed by United Kingdom: 14,449,464.0USD
Germany: 7,036,324.0USD
USA: 6,978,558.0USD
India: 6,375,385.0USD and
Belgium: 5,959,712.0USD
China is followed by United Kingdom: 14,449,464.0USD
Germany: 7,036,324.0USD
USA: 6,978,558.0USD
India: 6,375,385.0USD and
Belgium: 5,959,712.0USD
Supplier country’s “export value per KG” of (HScode:820530)
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.
Philippines ranked first in Exports “820530 – Tools, hand; planes, chisels, gauges and similar cutting tools for working wood” at the lowest price of 0.55USD/KG Philippines is followed by Oman2.36USD/KG, Pakistan2.64USD/KG, Spain3.91USD/KG, Malaysia3.98USD/KG, and Austria4.7USD/KG
Import Trade Statistics of (HScode:820530)
The statistics show the ranking of
820530 – Tools, hand; planes, chisels, gauges and similar cutting tools for working wood(HScode:820530) worldwide in 2017
820530 – Tools, hand; planes, chisels, gauges and similar cutting tools for working wood(HScode:820530) worldwide in 2017
the top importing countries worldwide in 2017
USA ranked first in imports of “820530 – Tools, hand; planes, chisels, gauges and similar cutting tools for working wood” Total import value 27,254,036.0USD
USA is followed by United Kingdom: 11,016,394.0USD
Germany: 8,034,429.0USD
Belgium: 6,039,523.0USD
Denmark: 5,958,261.0USD and
Netherlands: 5,805,226.0USD
USA ranked first in imports of “820530 – Tools, hand; planes, chisels, gauges and similar cutting tools for working wood” Total import value 27,254,036.0USD
USA is followed by United Kingdom: 11,016,394.0USD
Germany: 8,034,429.0USD
Belgium: 6,039,523.0USD
Denmark: 5,958,261.0USD and
Netherlands: 5,805,226.0USD
Buyer country’s “import Value per KG” of (HScode:820530)
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.
Norway ranked first in imports “820530 – Tools, hand; planes, chisels, gauges and similar cutting tools for working wood” at the highest price of 25.77/KG Norway is followed by Turkey, Switzerland, China, Germany, and Austria
Table data of “820530 – Tools, hand; planes, chisels, gauges and similar cutting tools for working wood”(HS:820530)[Export]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Slovakia | SVK | 2017 | Export | 79,016.0 | 12,833.0 | NaN | 12833.0 | 6.16 |
| 1 | Germany | DEU | 2017 | Export | 7,036,324.0 | 195,220.0 | NaN | 195220.0 | 36.04 |
| 2 | China | CHN | 2017 | Export | 68,080,817.0 | 14,480,820.0 | NaN | 14480820.0 | 4.70 |
| 3 | Sweden | SWE | 2017 | Export | 642,431.0 | 35,714.0 | NaN | 35714.0 | 17.99 |
| 4 | India | IND | 2017 | Export | 6,375,385.0 | 611,734.0 | NaN | 611734.0 | 10.42 |
| 5 | Philippines | PHL | 2017 | Export | 6,168.0 | 11,287.0 | NaN | 11287.0 | 0.55 |
| 6 | Malaysia | MYS | 2017 | Export | 568,735.0 | 143,002.0 | NaN | 143002.0 | 3.98 |
| 7 | South Africa | ZAF | 2017 | Export | 541,897.0 | 99,210.0 | NaN | 99210.0 | 5.46 |
| 8 | Belgium | BEL | 2017 | Export | 5,959,712.0 | 568,507.0 | NaN | 568507.0 | 10.48 |
| 9 | Singapore | SGP | 2017 | Export | 455,984.0 | 17,198.0 | NaN | 17198.0 | 26.51 |
| 10 | Mexico | MEX | 2017 | Export | 4,600,619.0 | 173,526.0 | NaN | 173526.0 | 26.51 |
| 11 | Switzerland | CHE | 2017 | Export | 4,356,502.0 | 37,179.0 | NaN | 37179.0 | 117.18 |
| 12 | Viet Nam | VNM | 2017 | Export | 376,067.0 | 15,529.0 | NaN | 15529.0 | 24.22 |
| 13 | Czechia | CZE | 2017 | Export | 3,629,485.0 | 207,172.0 | NaN | 207172.0 | 17.52 |
| 14 | Netherlands | NLD | 2017 | Export | 3,281,738.0 | 257,993.0 | NaN | 257993.0 | 12.72 |
| 15 | Finland | FIN | 2017 | Export | 284,223.0 | 12,986.0 | NaN | 12986.0 | 21.89 |
| 16 | Pakistan | PAK | 2017 | Export | 27,059.0 | 10,231.0 | NaN | 10231.0 | 2.64 |
| 17 | Turkey | TUR | 2017 | Export | 244,563.0 | 48,151.0 | NaN | 48151.0 | 5.08 |
| 18 | El Salvador | SLV | 2017 | Export | 215,252.0 | 16,285.0 | NaN | 16285.0 | 13.22 |
| 19 | Spain | ESP | 2017 | Export | 2,539,139.0 | 648,737.0 | NaN | 648737.0 | 3.91 |
| 20 | Poland | POL | 2017 | Export | 2,292,605.0 | 180,808.0 | NaN | 180808.0 | 12.68 |
| 21 | Russian Federation | RUS | 2017 | Export | 185,586.0 | 19,436.0 | NaN | 19436.0 | 9.55 |
| 22 | Portugal | PRT | 2017 | Export | 179,126.0 | 21,287.0 | NaN | 21287.0 | 8.41 |
| 23 | Brazil | BRA | 2017 | Export | 148,068.0 | 15,395.0 | NaN | 15395.0 | 9.62 |
| 24 | United Kingdom | GBR | 2017 | Export | 14,449,464.0 | 711,160.0 | NaN | 711160.0 | 20.32 |
| 25 | Oman | OMN | 2017 | Export | 129,594.0 | 55,019.0 | NaN | 55019.0 | 2.36 |
| 26 | Japan | JPN | 2017 | Export | 1,760,474.0 | 41,623.0 | NaN | 41623.0 | 42.30 |
| 27 | Italy | ITA | 2017 | Export | 1,728,849.0 | 52,200.0 | NaN | 52200.0 | 33.12 |
| 28 | France | FRA | 2017 | Export | 1,299,364.0 | 60,108.0 | NaN | 60108.0 | 21.62 |
| 29 | Austria | AUT | 2017 | Export | 1,191,894.0 | 26,718.0 | NaN | 26718.0 | 44.61 |
| 30 | Denmark | DNK | 2017 | Export | 1,068,075.0 | 40,285.0 | NaN | 40285.0 | 26.51 |
Table data of “820530 – Tools, hand; planes, chisels, gauges and similar cutting tools for working wood”(HS:820530)[Import]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Switzerland | CHE | 2017 | Import | 976,136.0 | 42,399.0 | NaN | 42399.0 | 23.02 |
| 1 | Brunei Darussalam | BRN | 2017 | Import | 95,346.0 | 12,808.0 | NaN | 12808.0 | 7.44 |
| 2 | New Zealand | NZL | 2017 | Import | 941,290.0 | 68,777.0 | NaN | 68777.0 | 13.69 |
| 3 | Uganda | UGA | 2017 | Import | 94,626.0 | 168,381.0 | NaN | 137139.0 | 0.56 |
| 4 | Romania | ROU | 2017 | Import | 861,988.0 | 105,909.0 | NaN | 105909.0 | 8.14 |
| 5 | Maldives | MDV | 2017 | Import | 82,787.0 | 81,342.0 | NaN | 81342.0 | 1.02 |
| 6 | Côte d’Ivoire | CIV | 2017 | Import | 82,691.0 | 70,142.0 | NaN | 70142.0 | 1.18 |
| 7 | Bosnia Herzegovina | BIH | 2017 | Import | 81,044.0 | 10,084.0 | NaN | 10084.0 | 8.04 |
| 8 | Bulgaria | BGR | 2017 | Import | 80,355.0 | 10,043.0 | NaN | 10043.0 | 8.00 |
| 9 | Germany | DEU | 2017 | Import | 8,034,429.0 | 420,339.0 | NaN | 420339.0 | 19.11 |
| 10 | Czechia | CZE | 2017 | Import | 767,186.0 | 69,652.0 | NaN | 69652.0 | 11.01 |
| 11 | South Africa | ZAF | 2017 | Import | 734,414.0 | 180,985.0 | NaN | 180985.0 | 4.06 |
| 12 | Cyprus | CYP | 2017 | Import | 72,743.0 | 10,569.0 | NaN | 10569.0 | 6.88 |
| 13 | Malawi | MWI | 2017 | Import | 71,233.0 | 27,123.0 | NaN | 27123.0 | 2.63 |
| 14 | Paraguay | PRY | 2017 | Import | 67,094.0 | 20,479.0 | NaN | 20479.0 | 3.28 |
| 15 | Malaysia | MYS | 2017 | Import | 661,907.0 | 203,686.0 | NaN | 203686.0 | 3.25 |
| 16 | Uruguay | URY | 2017 | Import | 66,955.0 | 10,238.0 | NaN | 10238.0 | 6.54 |
| 17 | Mozambique | MOZ | 2017 | Import | 66,942.0 | 32,044.0 | NaN | 21502.0 | 2.09 |
| 18 | Georgia | GEO | 2017 | Import | 62,374.0 | 16,537.0 | NaN | 16537.0 | 3.77 |
| 19 | Finland | FIN | 2017 | Import | 613,988.0 | 44,067.0 | NaN | 44067.0 | 13.93 |
| 20 | Zimbabwe | ZWE | 2017 | Import | 61,644.0 | 25,150.0 | NaN | 25150.0 | 2.45 |
| 21 | Egypt | EGY | 2017 | Import | 601,254.0 | 43,931.0 | NaN | 43931.0 | 13.69 |
| 22 | Belgium | BEL | 2017 | Import | 6,039,523.0 | 713,169.0 | NaN | 713169.0 | 8.47 |
| 23 | Jordan | JOR | 2017 | Import | 59,207.0 | 10,919.0 | NaN | 10919.0 | 5.42 |
| 24 | Peru | PER | 2017 | Import | 588,896.0 | 103,550.0 | NaN | 103550.0 | 5.69 |
| 25 | Philippines | PHL | 2017 | Import | 536,101.0 | 764,952.0 | NaN | 764952.0 | 0.70 |
| 26 | Denmark | DNK | 2017 | Import | 5,958,261.0 | 435,352.0 | NaN | 435352.0 | 13.69 |
| 27 | Netherlands | NLD | 2017 | Import | 5,805,226.0 | 487,130.0 | NaN | 487130.0 | 11.92 |
| 28 | France | FRA | 2017 | Import | 5,105,107.0 | 837,363.0 | NaN | 837363.0 | 6.10 |
| 29 | Senegal | SEN | 2017 | Import | 48,601.0 | 59,860.0 | NaN | 59860.0 | 0.81 |
| 30 | Argentina | ARG | 2017 | Import | 475,351.0 | 89,420.0 | NaN | 89420.0 | 5.32 |
| 31 | Kazakhstan | KAZ | 2017 | Import | 426,595.0 | 207,131.0 | NaN | 207131.0 | 2.06 |
| 32 | India | IND | 2017 | Import | 423,308.0 | 50,949.0 | NaN | 50949.0 | 8.31 |
| 33 | Cameroon | CMR | 2017 | Import | 42,908.0 | 29,264.0 | NaN | 29264.0 | 1.47 |
| 34 | Australia | AUS | 2017 | Import | 4,412,218.0 | 322,387.0 | NaN | 322387.0 | 13.69 |
| 35 | Portugal | PRT | 2017 | Import | 380,468.0 | 49,533.0 | NaN | 49533.0 | 7.68 |
| 36 | Hungary | HUN | 2017 | Import | 377,549.0 | 55,936.0 | NaN | 55936.0 | 6.75 |
| 37 | Kyrgyzstan | KGZ | 2017 | Import | 35,414.0 | 15,971.0 | NaN | 15971.0 | 2.22 |
| 38 | Iran | IRN | 2017 | Import | 349,415.0 | 64,781.0 | NaN | 64781.0 | 5.39 |
| 39 | Slovakia | SVK | 2017 | Import | 333,570.0 | 43,496.0 | NaN | 43496.0 | 7.67 |
| 40 | Belize | BLZ | 2017 | Import | 31,150.0 | 14,124.0 | NaN | 14124.0 | 2.21 |
| 41 | Colombia | COL | 2017 | Import | 300,571.0 | 135,425.0 | NaN | 135425.0 | 2.22 |
| 42 | Gambia | GMB | 2017 | Import | 3,744.0 | 14,947.0 | NaN | 14947.0 | 0.25 |
| 43 | Russian Federation | RUS | 2017 | Import | 3,380,249.0 | 523,177.0 | NaN | 523177.0 | 6.46 |
| 44 | Kenya | KEN | 2017 | Import | 297,278.0 | 75,059.0 | NaN | 75059.0 | 3.96 |
| 45 | Benin | BEN | 2017 | Import | 29,943.0 | 51,037.0 | NaN | 51037.0 | 0.59 |
| 46 | Sri Lanka | LKA | 2017 | Import | 279,829.0 | 183,096.0 | NaN | 183096.0 | 1.53 |
| 47 | USA | USA | 2017 | Import | 27,254,036.0 | 1,991,370.0 | NaN | 1991370.0 | 13.69 |
| 48 | Algeria | DZA | 2017 | Import | 266,367.0 | 82,808.0 | NaN | 82808.0 | 3.22 |
| 49 | Greece | GRC | 2017 | Import | 261,568.0 | 23,719.0 | NaN | 23719.0 | 11.03 |
| 50 | Oman | OMN | 2017 | Import | 253,836.0 | 76,761.0 | NaN | 76761.0 | 3.31 |
| 51 | China, Hong Kong SAR | HKG | 2017 | Import | 250,722.0 | 18,319.0 | NaN | 18319.0 | 13.69 |
| 52 | Lithuania | LTU | 2017 | Import | 241,159.0 | 30,330.0 | NaN | 30330.0 | 7.95 |
| 53 | Israel | ISR | 2017 | Import | 230,000.0 | 16,805.0 | NaN | 16805.0 | 13.69 |
| 54 | Ghana | GHA | 2017 | Import | 228,542.0 | 248,479.0 | NaN | 248479.0 | 0.92 |
| 55 | Morocco | MAR | 2017 | Import | 228,334.0 | 37,137.0 | NaN | 37137.0 | 6.15 |
| 56 | Madagascar | MDG | 2017 | Import | 21,110.0 | 14,596.0 | NaN | 14596.0 | 1.45 |
| 57 | Ukraine | UKR | 2017 | Import | 209,179.0 | 53,502.0 | NaN | 53502.0 | 3.91 |
| 58 | Costa Rica | CRI | 2017 | Import | 200,845.0 | 29,425.0 | NaN | 29425.0 | 6.83 |
| 59 | Indonesia | IDN | 2017 | Import | 2,340,007.0 | 1,063,603.0 | NaN | 1063603.0 | 2.20 |
| 60 | Poland | POL | 2017 | Import | 2,279,846.0 | 375,003.0 | NaN | 375003.0 | 6.08 |
| 61 | Singapore | SGP | 2017 | Import | 2,223,843.0 | 162,489.0 | NaN | 162489.0 | 13.69 |
| 62 | Italy | ITA | 2017 | Import | 2,161,571.0 | 174,072.0 | NaN | 174072.0 | 12.42 |
| 63 | Rep. of Korea | KOR | 2017 | Import | 2,033,238.0 | 169,304.0 | NaN | 169304.0 | 12.01 |
| 64 | Estonia | EST | 2017 | Import | 194,694.0 | 18,763.0 | NaN | 18763.0 | 10.38 |
| 65 | Latvia | LVA | 2017 | Import | 191,271.0 | 15,954.0 | NaN | 15954.0 | 11.99 |
| 66 | Namibia | NAM | 2017 | Import | 188,500.0 | 28,979.0 | NaN | 28979.0 | 6.50 |
| 67 | Ecuador | ECU | 2017 | Import | 186,572.0 | 31,609.0 | NaN | 31609.0 | 5.90 |
| 68 | United Rep. of Tanzania | TZA | 2017 | Import | 172,699.0 | 169,244.0 | NaN | 169244.0 | 1.02 |
| 69 | Myanmar | MMR | 2017 | Import | 171,143.0 | 298,581.0 | NaN | 298581.0 | 0.57 |
| 70 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 170,727.0 | 74,209.0 | NaN | 74209.0 | 2.30 |
| 71 | Lesotho | LSO | 2017 | Import | 16,219.0 | 99,087.0 | NaN | 99087.0 | 0.16 |
| 72 | Pakistan | PAK | 2017 | Import | 149,687.0 | 40,996.0 | NaN | 40996.0 | 3.65 |
| 73 | Botswana | BWA | 2017 | Import | 147,911.0 | 24,434.0 | NaN | 24434.0 | 6.05 |
| 74 | Kuwait | KWT | 2017 | Import | 132,359.0 | 23,737.0 | NaN | 23737.0 | 5.58 |
| 75 | Belarus | BLR | 2017 | Import | 130,900.0 | 19,304.0 | NaN | 19304.0 | 6.78 |
| 76 | El Salvador | SLV | 2017 | Import | 130,278.0 | 36,976.0 | NaN | 36976.0 | 3.52 |
| 77 | Jamaica | JAM | 2017 | Import | 124,433.0 | 61,178.0 | NaN | 61178.0 | 2.03 |
| 78 | Honduras | HND | 2017 | Import | 122,927.0 | 36,976.0 | NaN | 36976.0 | 3.32 |
| 79 | Nicaragua | NIC | 2017 | Import | 119,839.0 | 21,041.0 | NaN | 21041.0 | 5.70 |
| 80 | Zambia | ZMB | 2017 | Import | 119,019.0 | 48,730.0 | NaN | 48730.0 | 2.44 |
| 81 | United Kingdom | GBR | 2017 | Import | 11,016,394.0 | 1,491,710.0 | NaN | 1491710.0 | 7.39 |
| 82 | Lebanon | LBN | 2017 | Import | 104,583.0 | 36,228.0 | NaN | 36228.0 | 2.89 |
| 83 | Fiji | FJI | 2017 | Import | 103,974.0 | 19,165.0 | NaN | 19165.0 | 5.43 |
| 84 | Sweden | SWE | 2017 | Import | 1,776,362.0 | 158,813.0 | NaN | 158813.0 | 11.19 |
| 85 | Spain | ESP | 2017 | Import | 1,736,277.0 | 138,255.0 | NaN | 138255.0 | 12.56 |
| 86 | Norway | NOR | 2017 | Import | 1,704,533.0 | 66,135.0 | NaN | 66135.0 | 25.77 |
| 87 | Ireland | IRL | 2017 | Import | 1,510,494.0 | 113,859.0 | NaN | 113859.0 | 13.27 |
| 88 | Mexico | MEX | 2017 | Import | 1,463,787.0 | 106,954.0 | NaN | 106954.0 | 13.69 |
| 89 | Austria | AUT | 2017 | Import | 1,400,575.0 | 82,956.0 | NaN | 82956.0 | 16.88 |
| 90 | Chile | CHL | 2017 | Import | 1,348,139.0 | 178,251.0 | NaN | 178251.0 | 7.56 |
| 91 | Nigeria | NGA | 2017 | Import | 1,205,216.0 | 88,061.0 | NaN | 88061.0 | 13.69 |
| 92 | China | CHN | 2017 | Import | 1,106,785.0 | 49,255.0 | NaN | 49255.0 | 22.47 |
| 93 | Japan | JPN | 2017 | Import | 1,041,643.0 | 65,556.0 | NaN | 65556.0 | 15.89 |
| 94 | Turkey | TUR | 2017 | Import | 1,036,202.0 | 44,948.0 | NaN | 44948.0 | 23.05 |