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
“Harvesting machinery; parts, including parts of threshing machinery, straw or fodder balers and grass or hay mowers”(HScode:843390)
The graphs that have been shared show the International Trade Price and Weight of
“Harvesting machinery; parts, including parts of threshing machinery, straw or fodder balers and grass or hay mowers”(HScode:843390)
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:843390)
Here is a graph which shows export statistics of
843390 – Harvesting machinery; parts, including parts of threshing machinery, straw or fodder balers and grass or hay mowers(HScode:843390) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
843390 – Harvesting machinery; parts, including parts of threshing machinery, straw or fodder balers and grass or hay mowers(HScode:843390) 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, USA ranked at the top in exports of “843390 – Harvesting machinery; parts, including parts of threshing machinery, straw or fodder balers and grass or hay mowers” total export value 794,743,491.0USD
USA is followed by Germany: 780,618,281.0USD
China: 464,384,334.0USD
Belgium: 409,187,972.0USD
Netherlands: 330,689,464.0USD and
Canada: 312,264,028.0USD
USA is followed by Germany: 780,618,281.0USD
China: 464,384,334.0USD
Belgium: 409,187,972.0USD
Netherlands: 330,689,464.0USD and
Canada: 312,264,028.0USD
Supplier country’s “export value per KG” of (HScode:843390)
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.
Myanmar ranked first in Exports “843390 – Harvesting machinery; parts, including parts of threshing machinery, straw or fodder balers and grass or hay mowers” at the lowest price of 0.52USD/KG Myanmar is followed by Namibia0.72USD/KG, Belize1.02USD/KG, Kyrgyzstan1.74USD/KG, Ireland1.82USD/KG, and Belgium2.25USD/KG
Import Trade Statistics of (HScode:843390)
The statistics show the ranking of
843390 – Harvesting machinery; parts, including parts of threshing machinery, straw or fodder balers and grass or hay mowers(HScode:843390) worldwide in 2017
843390 – Harvesting machinery; parts, including parts of threshing machinery, straw or fodder balers and grass or hay mowers(HScode:843390) worldwide in 2017
the top importing countries worldwide in 2017
USA ranked first in imports of “843390 – Harvesting machinery; parts, including parts of threshing machinery, straw or fodder balers and grass or hay mowers” Total import value 927,618,141.0USD
USA is followed by Germany: 552,387,776.0USD
Belgium: 452,780,570.0USD
France: 346,552,685.0USD
United Kingdom: 310,911,602.0USD and
Canada: 279,646,073.0USD
USA ranked first in imports of “843390 – Harvesting machinery; parts, including parts of threshing machinery, straw or fodder balers and grass or hay mowers” Total import value 927,618,141.0USD
USA is followed by Germany: 552,387,776.0USD
Belgium: 452,780,570.0USD
France: 346,552,685.0USD
United Kingdom: 310,911,602.0USD and
Canada: 279,646,073.0USD
Buyer country’s “import Value per KG” of (HScode:843390)
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.
Pakistan ranked first in imports “843390 – Harvesting machinery; parts, including parts of threshing machinery, straw or fodder balers and grass or hay mowers” at the highest price of 28.43/KG Pakistan is followed by Chile, Luxembourg, Malawi, Fiji, and Belgium
Table data of “843390 – Harvesting machinery; parts, including parts of threshing machinery, straw or fodder balers and grass or hay mowers”(HS:843390)[Export]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Zambia | ZMB | 2017 | Export | 9,264,901.0 | 17,256.0 | NaN | 17256.0 | 536.91 |
1 | United Kingdom | GBR | 2017 | Export | 81,899,966.0 | 5,108,523.0 | NaN | 5108523.0 | 16.03 |
2 | Switzerland | CHE | 2017 | Export | 8,305,240.0 | 1,387,350.0 | NaN | 1387350.0 | 5.99 |
3 | Germany | DEU | 2017 | Export | 780,618,281.0 | 70,123,665.0 | NaN | 70123665.0 | 11.13 |
4 | Luxembourg | LUX | 2017 | Export | 743,928.0 | 49,375.0 | NaN | 49375.0 | 15.07 |
5 | Namibia | NAM | 2017 | Export | 7,888.0 | 10,917.0 | NaN | 10917.0 | 0.72 |
6 | Myanmar | MMR | 2017 | Export | 7,086.0 | 13,729.0 | NaN | 13729.0 | 0.52 |
7 | Colombia | COL | 2017 | Export | 664,250.0 | 69,308.0 | NaN | 69308.0 | 9.58 |
8 | Slovakia | SVK | 2017 | Export | 66,075,501.0 | 11,397,981.0 | NaN | 11397981.0 | 5.80 |
9 | Japan | JPN | 2017 | Export | 61,508,129.0 | 5,120,182.0 | NaN | 5120182.0 | 12.01 |
10 | South Africa | ZAF | 2017 | Export | 6,026,165.0 | 592,671.0 | NaN | 592671.0 | 10.17 |
11 | Singapore | SGP | 2017 | Export | 55,916,757.0 | 4,587,418.0 | NaN | 4587418.0 | 12.19 |
12 | Kyrgyzstan | KGZ | 2017 | Export | 55,747.0 | 32,000.0 | NaN | 32000.0 | 1.74 |
13 | Austria | AUT | 2017 | Export | 53,174,548.0 | 5,092,063.0 | NaN | 5092063.0 | 10.44 |
14 | Australia | AUS | 2017 | Export | 5,780,266.0 | 474,213.0 | NaN | 474213.0 | 12.19 |
15 | Argentina | ARG | 2017 | Export | 5,573,134.0 | 994,834.0 | NaN | 994834.0 | 5.60 |
16 | China | CHN | 2017 | Export | 464,384,334.0 | 118,221,910.0 | NaN | 118221910.0 | 3.93 |
17 | Sweden | SWE | 2017 | Export | 45,862,585.0 | 2,904,710.0 | NaN | 2904710.0 | 15.79 |
18 | Israel | ISR | 2017 | Export | 45,641,000.0 | 3,744,394.0 | NaN | 3744394.0 | 12.19 |
19 | Lithuania | LTU | 2017 | Export | 41,432,847.0 | 3,666,219.0 | NaN | 3666219.0 | 11.30 |
20 | Belgium | BEL | 2017 | Export | 409,187,972.0 | 30,090,762.0 | NaN | 30090762.0 | 13.60 |
21 | Bosnia Herzegovina | BIH | 2017 | Export | 4,483,300.0 | 416,071.0 | NaN | 416071.0 | 10.78 |
22 | Denmark | DNK | 2017 | Export | 38,986,972.0 | 3,198,496.0 | NaN | 3198496.0 | 12.19 |
23 | Spain | ESP | 2017 | Export | 38,127,982.0 | 5,832,553.0 | NaN | 5832553.0 | 6.54 |
24 | Mexico | MEX | 2017 | Export | 37,115,596.0 | 6,570,095.0 | NaN | 6570095.0 | 5.65 |
25 | Netherlands | NLD | 2017 | Export | 330,689,464.0 | 16,990,896.0 | NaN | 16990896.0 | 19.46 |
26 | Belize | BLZ | 2017 | Export | 31,292.0 | 30,676.0 | NaN | 30676.0 | 1.02 |
27 | Malaysia | MYS | 2017 | Export | 3,742,612.0 | 198,337.0 | NaN | 198337.0 | 18.87 |
28 | Serbia | SRB | 2017 | Export | 3,707,492.0 | 361,202.0 | NaN | 361202.0 | 10.26 |
29 | Rep. of Korea | KOR | 2017 | Export | 3,662,427.0 | 362,992.0 | NaN | 362992.0 | 10.09 |
30 | Italy | ITA | 2017 | Export | 277,655,107.0 | 39,469,286.0 | NaN | 39469286.0 | 7.03 |
31 | France | FRA | 2017 | Export | 244,331,809.0 | 18,350,723.0 | NaN | 18350723.0 | 13.31 |
32 | Hungary | HUN | 2017 | Export | 227,951,509.0 | 34,568,250.0 | NaN | 34568250.0 | 6.59 |
33 | Pakistan | PAK | 2017 | Export | 227,041.0 | 74,716.0 | NaN | 74716.0 | 3.04 |
34 | TFYR of Macedonia | MKD | 2017 | Export | 217,851.0 | 32,612.0 | NaN | 32612.0 | 6.68 |
35 | Poland | POL | 2017 | Export | 201,723,157.0 | 33,374,798.0 | NaN | 33374798.0 | 6.04 |
36 | Estonia | EST | 2017 | Export | 2,175,722.0 | 144,422.0 | NaN | 144422.0 | 15.07 |
37 | Russian Federation | RUS | 2017 | Export | 19,974,626.0 | 4,153,933.0 | NaN | 4153933.0 | 4.81 |
38 | Bulgaria | BGR | 2017 | Export | 19,923,786.0 | 2,220,499.0 | NaN | 2220499.0 | 8.97 |
39 | Georgia | GEO | 2017 | Export | 189,937.0 | 13,540.0 | NaN | 13540.0 | 14.03 |
40 | Turkey | TUR | 2017 | Export | 18,753,105.0 | 5,148,014.0 | NaN | 5120996.0 | 3.64 |
41 | India | IND | 2017 | Export | 18,468,194.0 | 3,274,827.0 | NaN | 3274827.0 | 5.64 |
42 | Czechia | CZE | 2017 | Export | 177,355,758.0 | 39,606,515.0 | NaN | 39606515.0 | 4.48 |
43 | China, Hong Kong SAR | HKG | 2017 | Export | 16,571,889.0 | 4,045,809.0 | NaN | 4045809.0 | 4.10 |
44 | Brazil | BRA | 2017 | Export | 152,923,043.0 | 18,614,323.0 | NaN | 18614323.0 | 8.22 |
45 | Latvia | LVA | 2017 | Export | 15,670,189.0 | 2,266,860.0 | NaN | 2266860.0 | 6.91 |
46 | Ireland | IRL | 2017 | Export | 15,067,402.0 | 8,275,407.0 | NaN | 8275407.0 | 1.82 |
47 | Rep. of Moldova | MDA | 2017 | Export | 133,013.0 | 46,188.0 | NaN | 46188.0 | 2.88 |
48 | Philippines | PHL | 2017 | Export | 131,535.0 | 22,891.0 | NaN | 22891.0 | 5.75 |
49 | Finland | FIN | 2017 | Export | 13,494,377.0 | 1,109,622.0 | NaN | 1109622.0 | 12.16 |
50 | Indonesia | IDN | 2017 | Export | 122,658.0 | 10,530.0 | NaN | 10530.0 | 11.65 |
51 | Ukraine | UKR | 2017 | Export | 12,535,777.0 | 3,929,066.0 | NaN | 3929066.0 | 3.19 |
52 | Belarus | BLR | 2017 | Export | 12,136,100.0 | 2,704,498.0 | NaN | 2704498.0 | 4.49 |
53 | Greece | GRC | 2017 | Export | 11,535,912.0 | 788,425.0 | NaN | 788425.0 | 14.63 |
54 | Iran | IRN | 2017 | Export | 105,917.0 | 47,039.0 | NaN | 47039.0 | 2.25 |
55 | Kazakhstan | KAZ | 2017 | Export | 100,527.0 | 22,689.0 | NaN | 22689.0 | 4.43 |
56 | Romania | ROU | 2017 | Export | 10,972,610.0 | 3,605,900.0 | NaN | 3605900.0 | 3.04 |
57 | Viet Nam | VNM | 2017 | Export | 1,987,382.0 | 175,466.0 | NaN | 175466.0 | 11.33 |
58 | Norway | NOR | 2017 | Export | 1,377,343.0 | 67,786.0 | NaN | 67786.0 | 20.32 |
59 | Portugal | PRT | 2017 | Export | 1,288,496.0 | 216,078.0 | NaN | 216078.0 | 5.96 |
60 | Uruguay | URY | 2017 | Export | 1,280,007.0 | 115,008.0 | NaN | 115008.0 | 11.13 |
Table data of “843390 – Harvesting machinery; parts, including parts of threshing machinery, straw or fodder balers and grass or hay mowers”(HS:843390)[Import]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | United Rep. of Tanzania | TZA | 2017 | Import | 991,878.0 | 602,795.0 | NaN | 602795.0 | 1.65 |
1 | USA | USA | 2017 | Import | 927,618,141.0 | 79,801,094.0 | NaN | 79801094.0 | 11.62 |
2 | China | CHN | 2017 | Import | 92,521,432.0 | 7,919,689.0 | NaN | 7919689.0 | 11.68 |
3 | Burundi | BDI | 2017 | Import | 91,476.0 | 28,879.0 | NaN | 28879.0 | 3.17 |
4 | Serbia | SRB | 2017 | Import | 9,059,973.0 | 884,527.0 | NaN | 884527.0 | 10.24 |
5 | Indonesia | IDN | 2017 | Import | 9,036,692.0 | 1,898,875.0 | NaN | 1898875.0 | 4.76 |
6 | Iceland | ISL | 2017 | Import | 883,599.0 | 61,395.0 | NaN | 61395.0 | 14.39 |
7 | Mexico | MEX | 2017 | Import | 84,112,977.0 | 23,112,849.0 | NaN | 23112849.0 | 3.64 |
8 | Senegal | SEN | 2017 | Import | 807,602.0 | 126,594.0 | NaN | 126594.0 | 6.38 |
9 | Czechia | CZE | 2017 | Import | 79,146,811.0 | 11,438,572.0 | NaN | 11438572.0 | 6.92 |
10 | Mali | MLI | 2017 | Import | 78,733.0 | 53,206.0 | NaN | 53206.0 | 1.48 |
11 | Honduras | HND | 2017 | Import | 734,859.0 | 79,625.0 | NaN | 79625.0 | 9.23 |
12 | Mauritius | MUS | 2017 | Import | 717,538.0 | 46,491.0 | NaN | 46491.0 | 15.43 |
13 | Estonia | EST | 2017 | Import | 7,794,888.0 | 546,360.0 | NaN | 546360.0 | 14.27 |
14 | Myanmar | MMR | 2017 | Import | 7,137,367.0 | 1,115,114.0 | NaN | 1115114.0 | 6.40 |
15 | Denmark | DNK | 2017 | Import | 69,523,728.0 | 5,980,984.0 | NaN | 5980984.0 | 11.62 |
16 | Hungary | HUN | 2017 | Import | 68,083,640.0 | 12,665,124.0 | NaN | 12665124.0 | 5.38 |
17 | Kenya | KEN | 2017 | Import | 651,610.0 | 115,165.0 | NaN | 117123.0 | 5.66 |
18 | Spain | ESP | 2017 | Import | 62,869,361.0 | 4,021,396.0 | NaN | 4021396.0 | 15.63 |
19 | Colombia | COL | 2017 | Import | 6,963,325.0 | 1,002,601.0 | NaN | 1002601.0 | 6.95 |
20 | Uruguay | URY | 2017 | Import | 6,859,207.0 | 553,329.0 | NaN | 553329.0 | 12.40 |
21 | Luxembourg | LUX | 2017 | Import | 6,820,538.0 | 288,434.0 | NaN | 288434.0 | 23.65 |
22 | Sudan | SDN | 2017 | Import | 6,704,679.0 | 576,789.0 | NaN | 576789.0 | 11.62 |
23 | Peru | PER | 2017 | Import | 6,279,452.0 | 366,726.0 | NaN | 366726.0 | 17.12 |
24 | Malaysia | MYS | 2017 | Import | 6,043,057.0 | 1,101,430.0 | NaN | 1101430.0 | 5.49 |
25 | Belize | BLZ | 2017 | Import | 590,879.0 | 240,919.0 | NaN | 240919.0 | 2.45 |
26 | Mozambique | MOZ | 2017 | Import | 570,788.0 | 57,807.0 | NaN | 25192.0 | 9.87 |
27 | Germany | DEU | 2017 | Import | 552,387,776.0 | 80,389,170.0 | NaN | 80389170.0 | 6.87 |
28 | Sweden | SWE | 2017 | Import | 55,674,759.0 | 5,142,175.0 | NaN | 5142175.0 | 10.83 |
29 | Japan | JPN | 2017 | Import | 52,931,795.0 | 7,546,534.0 | NaN | 7546534.0 | 7.01 |
30 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 5,340,530.0 | 629,775.0 | NaN | 629775.0 | 8.48 |
31 | Philippines | PHL | 2017 | Import | 5,014,510.0 | 1,216,152.0 | NaN | 1216152.0 | 4.12 |
32 | Lebanon | LBN | 2017 | Import | 473,903.0 | 60,603.0 | NaN | 60603.0 | 7.82 |
33 | Belgium | BEL | 2017 | Import | 452,780,570.0 | 24,351,192.0 | NaN | 24351192.0 | 18.59 |
34 | Swaziland | SWZ | 2017 | Import | 450,837.0 | 30,943.0 | NaN | 30943.0 | 14.57 |
35 | Oman | OMN | 2017 | Import | 449,256.0 | 40,008.0 | NaN | 40008.0 | 11.23 |
36 | Fiji | FJI | 2017 | Import | 412,916.0 | 21,005.0 | NaN | 21005.0 | 19.66 |
37 | Slovakia | SVK | 2017 | Import | 41,304,469.0 | 9,990,896.0 | NaN | 9990896.0 | 4.13 |
38 | South Africa | ZAF | 2017 | Import | 40,666,844.0 | 3,001,008.0 | NaN | 3001008.0 | 13.55 |
39 | Gambia | GMB | 2017 | Import | 4,988.0 | 11,857.0 | NaN | 11857.0 | 0.42 |
40 | Nigeria | NGA | 2017 | Import | 4,030,031.0 | 346,695.0 | NaN | 346695.0 | 11.62 |
41 | Romania | ROU | 2017 | Import | 39,687,741.0 | 3,807,989.0 | NaN | 3807989.0 | 10.42 |
42 | Ireland | IRL | 2017 | Import | 38,809,153.0 | 5,911,244.0 | NaN | 5911244.0 | 6.57 |
43 | Switzerland | CHE | 2017 | Import | 37,938,812.0 | 2,312,095.0 | NaN | 2312095.0 | 16.41 |
44 | Georgia | GEO | 2017 | Import | 358,818.0 | 33,146.0 | NaN | 33146.0 | 10.83 |
45 | El Salvador | SLV | 2017 | Import | 354,977.0 | 45,636.0 | NaN | 45636.0 | 7.78 |
46 | TFYR of Macedonia | MKD | 2017 | Import | 354,470.0 | 80,140.0 | NaN | 80140.0 | 4.42 |
47 | Namibia | NAM | 2017 | Import | 341,190.0 | 122,514.0 | NaN | 122514.0 | 2.78 |
48 | Jamaica | JAM | 2017 | Import | 337,509.0 | 56,002.0 | NaN | 56002.0 | 6.03 |
49 | United Kingdom | GBR | 2017 | Import | 310,911,602.0 | 23,211,201.0 | NaN | 23211201.0 | 13.39 |
50 | Uganda | UGA | 2017 | Import | 306,062.0 | 73,313.0 | NaN | 72921.0 | 4.17 |
51 | Mongolia | MNG | 2017 | Import | 305,800.0 | 34,580.0 | NaN | 34580.0 | 8.84 |
52 | Montenegro | MNE | 2017 | Import | 305,511.0 | 30,587.0 | NaN | 30587.0 | 9.99 |
53 | Bulgaria | BGR | 2017 | Import | 30,966,920.0 | 2,472,689.0 | NaN | 2472689.0 | 12.52 |
54 | Morocco | MAR | 2017 | Import | 3,487,071.0 | 522,302.0 | NaN | 522302.0 | 6.68 |
55 | Algeria | DZA | 2017 | Import | 3,214,315.0 | 534,250.0 | NaN | 534250.0 | 6.02 |
56 | Côte d’Ivoire | CIV | 2017 | Import | 295,267.0 | 28,328.0 | NaN | 28328.0 | 10.42 |
57 | Malawi | MWI | 2017 | Import | 287,674.0 | 12,703.0 | NaN | 12703.0 | 22.65 |
58 | Ghana | GHA | 2017 | Import | 267,594.0 | 61,275.0 | NaN | 61275.0 | 4.37 |
59 | Botswana | BWA | 2017 | Import | 265,599.0 | 20,403.0 | NaN | 20403.0 | 13.02 |
60 | Kyrgyzstan | KGZ | 2017 | Import | 265,106.0 | 183,744.0 | NaN | 183744.0 | 1.44 |
61 | Jordan | JOR | 2017 | Import | 247,919.0 | 39,271.0 | NaN | 39271.0 | 6.31 |
62 | Armenia | ARM | 2017 | Import | 238,242.0 | 31,616.0 | NaN | 31616.0 | 7.54 |
63 | Netherlands | NLD | 2017 | Import | 233,246,736.0 | 18,974,539.0 | NaN | 18974539.0 | 12.29 |
64 | Norway | NOR | 2017 | Import | 23,796,198.0 | 1,425,295.0 | NaN | 1425295.0 | 16.70 |
65 | Lithuania | LTU | 2017 | Import | 21,737,533.0 | 2,175,449.0 | NaN | 2175449.0 | 9.99 |
66 | Ukraine | UKR | 2017 | Import | 20,696,348.0 | 2,009,795.0 | NaN | 2009795.0 | 10.30 |
67 | China, Hong Kong SAR | HKG | 2017 | Import | 20,530,949.0 | 4,379,688.0 | NaN | 4379688.0 | 4.69 |
68 | Kazakhstan | KAZ | 2017 | Import | 20,081,513.0 | 4,030,290.0 | NaN | 4030290.0 | 4.98 |
69 | Egypt | EGY | 2017 | Import | 2,773,264.0 | 238,578.0 | NaN | 238578.0 | 11.62 |
70 | Zambia | ZMB | 2017 | Import | 2,683,088.0 | 224,591.0 | NaN | 224591.0 | 11.95 |
71 | Ecuador | ECU | 2017 | Import | 2,669,437.0 | 440,606.0 | NaN | 440606.0 | 6.06 |
72 | Viet Nam | VNM | 2017 | Import | 2,520,478.0 | 218,734.0 | NaN | 218734.0 | 11.52 |
73 | Chile | CHL | 2017 | Import | 19,896,091.0 | 840,630.0 | NaN | 840630.0 | 23.67 |
74 | Brunei Darussalam | BRN | 2017 | Import | 186,415.0 | 34,083.0 | NaN | 34083.0 | 5.47 |
75 | Cameroon | CMR | 2017 | Import | 173,012.0 | 12,789.0 | NaN | 12789.0 | 13.53 |
76 | Turkey | TUR | 2017 | Import | 17,781,327.0 | 2,226,296.0 | NaN | 2226296.0 | 7.99 |
77 | Russian Federation | RUS | 2017 | Import | 167,628,568.0 | 24,793,493.0 | NaN | 24793493.0 | 6.76 |
78 | Rep. of Korea | KOR | 2017 | Import | 16,170,007.0 | 1,884,816.0 | NaN | 1884816.0 | 8.58 |
79 | Argentina | ARG | 2017 | Import | 157,340,618.0 | 16,285,537.0 | NaN | 16285537.0 | 9.66 |
80 | Albania | ALB | 2017 | Import | 154,858.0 | 36,484.0 | NaN | 36484.0 | 4.24 |
81 | India | IND | 2017 | Import | 15,894,693.0 | 2,741,981.0 | NaN | 2741981.0 | 5.80 |
82 | Australia | AUS | 2017 | Import | 144,887,552.0 | 12,464,380.0 | NaN | 12464380.0 | 11.62 |
83 | Israel | ISR | 2017 | Import | 14,917,000.0 | 1,283,279.0 | NaN | 1283279.0 | 11.62 |
84 | Congo | COG | 2017 | Import | 14,670.0 | 14,733.0 | NaN | 14733.0 | 1.00 |
85 | Mauritania | MRT | 2017 | Import | 14,564.0 | 10,200.0 | NaN | 10200.0 | 1.43 |
86 | Italy | ITA | 2017 | Import | 137,161,130.0 | 16,177,291.0 | NaN | 16177291.0 | 8.48 |
87 | Belarus | BLR | 2017 | Import | 13,190,800.0 | 1,558,458.0 | NaN | 1558458.0 | 8.46 |
88 | Finland | FIN | 2017 | Import | 12,499,659.0 | 1,142,886.0 | NaN | 1142886.0 | 10.94 |
89 | Iran | IRN | 2017 | Import | 12,487,560.0 | 3,189,781.0 | NaN | 3189781.0 | 3.91 |
90 | Latvia | LVA | 2017 | Import | 12,158,929.0 | 1,462,114.0 | NaN | 1462114.0 | 8.32 |
91 | Poland | POL | 2017 | Import | 117,843,695.0 | 16,752,517.0 | NaN | 16752517.0 | 7.03 |
92 | Portugal | PRT | 2017 | Import | 11,704,214.0 | 1,074,962.0 | NaN | 1074962.0 | 10.89 |
93 | Austria | AUT | 2017 | Import | 107,476,982.0 | 20,197,439.0 | NaN | 20197439.0 | 5.32 |
94 | Paraguay | PRY | 2017 | Import | 10,914,106.0 | 1,177,529.0 | NaN | 1177529.0 | 9.27 |
95 | Singapore | SGP | 2017 | Import | 10,399,275.0 | 894,628.0 | NaN | 894628.0 | 11.62 |
96 | Costa Rica | CRI | 2017 | Import | 1,698,298.0 | 175,714.0 | NaN | 175714.0 | 9.67 |
97 | Dominican Rep. | DOM | 2017 | Import | 1,531,400.0 | 131,743.0 | NaN | 131743.0 | 11.62 |
98 | Tunisia | TUN | 2017 | Import | 1,490,784.0 | 193,573.0 | NaN | 193573.0 | 7.70 |
99 | Rep. of Moldova | MDA | 2017 | Import | 1,484,261.0 | 167,463.0 | NaN | 167463.0 | 8.86 |
100 | Zimbabwe | ZWE | 2017 | Import | 1,405,448.0 | 138,077.0 | NaN | 138077.0 | 10.18 |
101 | Sri Lanka | LKA | 2017 | Import | 1,310,879.0 | 636,426.0 | NaN | 636426.0 | 2.06 |
102 | Cyprus | CYP | 2017 | Import | 1,254,311.0 | 119,264.0 | NaN | 119264.0 | 10.52 |
103 | Pakistan | PAK | 2017 | Import | 1,223,446.0 | 43,033.0 | NaN | 43033.0 | 28.43 |
104 | Bosnia Herzegovina | BIH | 2017 | Import | 1,221,893.0 | 249,996.0 | NaN | 249996.0 | 4.89 |
105 | Nicaragua | NIC | 2017 | Import | 1,174,549.0 | 130,648.0 | NaN | 130648.0 | 8.99 |