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
“Modelling pastes; preparations known as dental wax, put up in sets, in packings for retail sale or in plates, horseshoe shapes, sticks or similar forms, other preparations for use in dentistry”(HScode:340700)
The graphs that have been shared show the International Trade Price and Weight of
“Modelling pastes; preparations known as dental wax, put up in sets, in packings for retail sale or in plates, horseshoe shapes, sticks or similar forms, other preparations for use in dentistry”(HScode:340700)
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:340700)
Here is a graph which shows export statistics of
340700 – Modelling pastes; preparations known as dental wax, put up in sets, in packings for retail sale or in plates, horseshoe shapes, sticks or similar forms, other preparations for use in dentistry(HScode:340700) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
340700 – Modelling pastes; preparations known as dental wax, put up in sets, in packings for retail sale or in plates, horseshoe shapes, sticks or similar forms, other preparations for use in dentistry(HScode:340700) 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, Germany ranked at the top in exports of “340700 – Modelling pastes; preparations known as dental wax, put up in sets, in packings for retail sale or in plates, horseshoe shapes, sticks or similar forms, other preparations for use in dentistry” total export value 204,717,905.0USD
Germany is followed by China: 184,395,015.0USD
USA: 72,937,284.0USD
Italy: 59,377,131.0USD
Netherlands: 51,416,345.0USD and
Switzerland: 19,911,304.0USD
Germany is followed by China: 184,395,015.0USD
USA: 72,937,284.0USD
Italy: 59,377,131.0USD
Netherlands: 51,416,345.0USD and
Switzerland: 19,911,304.0USD
Supplier country’s “export value per KG” of (HScode:340700)
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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Oman ranked first in Exports “340700 – Modelling pastes; preparations known as dental wax, put up in sets, in packings for retail sale or in plates, horseshoe shapes, sticks or similar forms, other preparations for use in dentistry” at the lowest price of 0.35USD/KG Oman is followed by Portugal0.72USD/KG, South Africa0.97USD/KG, Armenia1.37USD/KG, Jordan1.41USD/KG, and Austria1.59USD/KG
Import Trade Statistics of (HScode:340700)
The statistics show the ranking of
340700 – Modelling pastes; preparations known as dental wax, put up in sets, in packings for retail sale or in plates, horseshoe shapes, sticks or similar forms, other preparations for use in dentistry(HScode:340700) worldwide in 2017
340700 – Modelling pastes; preparations known as dental wax, put up in sets, in packings for retail sale or in plates, horseshoe shapes, sticks or similar forms, other preparations for use in dentistry(HScode:340700) worldwide in 2017
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the top importing countries worldwide in 2017
USA ranked first in imports of “340700 – Modelling pastes; preparations known as dental wax, put up in sets, in packings for retail sale or in plates, horseshoe shapes, sticks or similar forms, other preparations for use in dentistry” Total import value 245,445,541.0USD
USA is followed by Germany: 73,250,753.0USD
France: 42,963,655.0USD
Russian Federation: 38,608,445.0USD
China: 36,433,348.0USD and
Canada: 31,800,076.0USD
USA ranked first in imports of “340700 – Modelling pastes; preparations known as dental wax, put up in sets, in packings for retail sale or in plates, horseshoe shapes, sticks or similar forms, other preparations for use in dentistry” Total import value 245,445,541.0USD
USA is followed by Germany: 73,250,753.0USD
France: 42,963,655.0USD
Russian Federation: 38,608,445.0USD
China: 36,433,348.0USD and
Canada: 31,800,076.0USD
Buyer country’s “import Value per KG” of (HScode:340700)
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 “340700 – Modelling pastes; preparations known as dental wax, put up in sets, in packings for retail sale or in plates, horseshoe shapes, sticks or similar forms, other preparations for use in dentistry” at the highest price of 39.75/KG Azerbaijan is followed by Norway, Luxembourg, Switzerland, Iceland, and Austria
Table data of “340700 – Modelling pastes; preparations known as dental wax, put up in sets, in packings for retail sale or in plates, horseshoe shapes, sticks or similar forms, other preparations for use in dentistry”(HS:340700)[Export]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Argentina | ARG | 2017 | Export | 909,911.0 | 148,874.0 | NaN | 148874.0 | 6.11 |
1 | China, Hong Kong SAR | HKG | 2017 | Export | 9,477,592.0 | 2,066,067.0 | NaN | 2066067.0 | 4.59 |
2 | Estonia | EST | 2017 | Export | 832,320.0 | 105,393.0 | NaN | 105393.0 | 7.90 |
3 | United Kingdom | GBR | 2017 | Export | 8,843,996.0 | 1,241,078.0 | NaN | 1241078.0 | 7.13 |
4 | USA | USA | 2017 | Export | 72,937,284.0 | 6,869,968.0 | NaN | 6869968.0 | 10.62 |
5 | Greece | GRC | 2017 | Export | 633,389.0 | 59,418.0 | NaN | 59418.0 | 10.66 |
6 | Oman | OMN | 2017 | Export | 6,345.0 | 18,095.0 | NaN | 18095.0 | 0.35 |
7 | Italy | ITA | 2017 | Export | 59,377,131.0 | 9,692,760.0 | NaN | 9692760.0 | 6.13 |
8 | Netherlands | NLD | 2017 | Export | 51,416,345.0 | 5,676,739.0 | NaN | 5676739.0 | 9.06 |
9 | Rep. of Korea | KOR | 2017 | Export | 5,907,927.0 | 516,455.0 | NaN | 516455.0 | 11.44 |
10 | Turkey | TUR | 2017 | Export | 5,878,309.0 | 2,213,623.0 | NaN | 2213623.0 | 2.66 |
11 | Philippines | PHL | 2017 | Export | 416,488.0 | 60,234.0 | NaN | 59450.0 | 6.91 |
12 | Colombia | COL | 2017 | Export | 402,944.0 | 159,783.0 | NaN | 159783.0 | 2.52 |
13 | South Africa | ZAF | 2017 | Export | 400,083.0 | 413,600.0 | NaN | 413600.0 | 0.97 |
14 | Singapore | SGP | 2017 | Export | 4,931,784.0 | 158,506.0 | NaN | 158506.0 | 31.11 |
15 | Russian Federation | RUS | 2017 | Export | 4,797,072.0 | 1,837,714.0 | NaN | 1837714.0 | 2.61 |
16 | Hungary | HUN | 2017 | Export | 385,244.0 | 54,286.0 | NaN | 54286.0 | 7.10 |
17 | Latvia | LVA | 2017 | Export | 353,560.0 | 42,671.0 | NaN | 42671.0 | 8.29 |
18 | Armenia | ARM | 2017 | Export | 34,281.0 | 25,026.0 | NaN | 25026.0 | 1.37 |
19 | Jordan | JOR | 2017 | Export | 328,056.0 | 232,748.0 | NaN | 232748.0 | 1.41 |
20 | Austria | AUT | 2017 | Export | 3,842,089.0 | 172,948.0 | NaN | 172948.0 | 22.22 |
21 | Denmark | DNK | 2017 | Export | 3,642,725.0 | 431,188.0 | NaN | 431188.0 | 8.45 |
22 | Peru | PER | 2017 | Export | 278,150.0 | 84,785.0 | NaN | 84785.0 | 3.28 |
23 | El Salvador | SLV | 2017 | Export | 26,424.0 | 12,203.0 | NaN | 12203.0 | 2.17 |
24 | Ireland | IRL | 2017 | Export | 252,856.0 | 42,265.0 | NaN | 42265.0 | 5.98 |
25 | Rep. of Moldova | MDA | 2017 | Export | 208,209.0 | 18,534.0 | NaN | 18534.0 | 11.23 |
26 | Germany | DEU | 2017 | Export | 204,717,905.0 | 18,050,575.0 | NaN | 18050575.0 | 11.34 |
27 | Poland | POL | 2017 | Export | 2,239,173.0 | 445,258.0 | NaN | 445258.0 | 5.03 |
28 | Malaysia | MYS | 2017 | Export | 2,150,786.0 | 1,346,808.0 | NaN | 1346808.0 | 1.60 |
29 | India | IND | 2017 | Export | 2,045,005.0 | 143,910.0 | NaN | 143910.0 | 14.21 |
30 | Finland | FIN | 2017 | Export | 2,012,753.0 | 39,103.0 | NaN | 39103.0 | 51.47 |
31 | Switzerland | CHE | 2017 | Export | 19,911,304.0 | 1,405,772.0 | NaN | 1405772.0 | 14.16 |
32 | China | CHN | 2017 | Export | 184,395,015.0 | 73,559,821.0 | NaN | 73559821.0 | 2.51 |
33 | Algeria | DZA | 2017 | Export | 18,695.0 | 11,793.0 | NaN | 11793.0 | 1.59 |
34 | Japan | JPN | 2017 | Export | 17,962,734.0 | 2,252,716.0 | NaN | 2252716.0 | 7.97 |
35 | Belgium | BEL | 2017 | Export | 17,047,058.0 | 3,245,079.0 | NaN | 3245079.0 | 5.25 |
36 | Chile | CHL | 2017 | Export | 159,224.0 | 11,974.0 | NaN | 11974.0 | 13.30 |
37 | Spain | ESP | 2017 | Export | 13,344,039.0 | 3,448,903.0 | NaN | 3448903.0 | 3.87 |
38 | Czechia | CZE | 2017 | Export | 13,059,748.0 | 1,520,894.0 | NaN | 1520894.0 | 8.59 |
39 | Romania | ROU | 2017 | Export | 12,955,927.0 | 653,636.0 | NaN | 653636.0 | 19.82 |
40 | Sweden | SWE | 2017 | Export | 11,838,885.0 | 4,142,598.0 | NaN | 4142598.0 | 2.86 |
41 | Mexico | MEX | 2017 | Export | 11,123,247.0 | 3,078,868.0 | NaN | 3078868.0 | 3.61 |
42 | France | FRA | 2017 | Export | 11,063,337.0 | 1,667,693.0 | NaN | 1667693.0 | 6.63 |
43 | Kazakhstan | KAZ | 2017 | Export | 105,628.0 | 25,739.0 | NaN | 25739.0 | 4.10 |
44 | Lithuania | LTU | 2017 | Export | 1,730,406.0 | 263,725.0 | NaN | 263725.0 | 6.56 |
45 | Serbia | SRB | 2017 | Export | 1,681,115.0 | 109,198.0 | NaN | 109198.0 | 15.40 |
46 | Brazil | BRA | 2017 | Export | 1,535,397.0 | 323,897.0 | NaN | 323897.0 | 4.74 |
47 | Belarus | BLR | 2017 | Export | 1,333,300.0 | 438,867.0 | NaN | 438867.0 | 3.04 |
48 | Slovakia | SVK | 2017 | Export | 1,315,536.0 | 224,351.0 | NaN | 224351.0 | 5.86 |
49 | Ukraine | UKR | 2017 | Export | 1,293,818.0 | 282,956.0 | NaN | 282956.0 | 4.57 |
50 | Portugal | PRT | 2017 | Export | 1,018,937.0 | 1,413,143.0 | NaN | 1413143.0 | 0.72 |
Table data of “340700 – Modelling pastes; preparations known as dental wax, put up in sets, in packings for retail sale or in plates, horseshoe shapes, sticks or similar forms, other preparations for use in dentistry”(HS:340700)[Import]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Paraguay | PRY | 2017 | Import | 964,382.0 | 263,043.0 | NaN | 263043.0 | 3.67 |
1 | Dominican Rep. | DOM | 2017 | Import | 959,010.0 | 119,807.0 | NaN | 119807.0 | 8.00 |
2 | Namibia | NAM | 2017 | Import | 93,072.0 | 108,886.0 | NaN | 108886.0 | 0.85 |
3 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 900,355.0 | 315,055.0 | NaN | 322106.0 | 2.86 |
4 | Azerbaijan | AZE | 2017 | Import | 899,223.0 | 22,620.0 | NaN | 22620.0 | 39.75 |
5 | Kenya | KEN | 2017 | Import | 87,506.0 | 89,060.0 | NaN | 89060.0 | 0.98 |
6 | Rep. of Moldova | MDA | 2017 | Import | 843,081.0 | 183,387.0 | NaN | 183387.0 | 4.60 |
7 | Uruguay | URY | 2017 | Import | 832,227.0 | 196,678.0 | NaN | 196678.0 | 4.23 |
8 | Sri Lanka | LKA | 2017 | Import | 831,804.0 | 462,338.0 | NaN | 462338.0 | 1.80 |
9 | Nepal | NPL | 2017 | Import | 82,489.0 | 34,864.0 | NaN | 34864.0 | 2.37 |
10 | Madagascar | MDG | 2017 | Import | 80,090.0 | 24,194.0 | NaN | 24194.0 | 3.31 |
11 | China, Hong Kong SAR | HKG | 2017 | Import | 8,000,441.0 | 1,918,332.0 | NaN | 1918332.0 | 4.17 |
12 | Luxembourg | LUX | 2017 | Import | 760,891.0 | 46,214.0 | NaN | 46214.0 | 16.46 |
13 | Honduras | HND | 2017 | Import | 747,954.0 | 222,416.0 | NaN | 224601.0 | 3.36 |
14 | El Salvador | SLV | 2017 | Import | 731,551.0 | 252,257.0 | NaN | 252257.0 | 2.90 |
15 | Germany | DEU | 2017 | Import | 73,250,753.0 | 9,212,335.0 | NaN | 9212335.0 | 7.95 |
16 | Chile | CHL | 2017 | Import | 7,511,361.0 | 2,853,097.0 | NaN | 2853097.0 | 2.63 |
17 | Denmark | DNK | 2017 | Import | 7,319,247.0 | 914,378.0 | NaN | 914378.0 | 8.00 |
18 | Sweden | SWE | 2017 | Import | 7,260,610.0 | 898,325.0 | NaN | 898325.0 | 8.08 |
19 | India | IND | 2017 | Import | 7,250,236.0 | 1,974,034.0 | NaN | 1974034.0 | 3.67 |
20 | Kazakhstan | KAZ | 2017 | Import | 6,967,223.0 | 4,316,618.0 | NaN | 4316618.0 | 1.61 |
21 | Ukraine | UKR | 2017 | Import | 6,878,405.0 | 2,081,904.0 | NaN | 2081904.0 | 3.30 |
22 | Tunisia | TUN | 2017 | Import | 591,324.0 | 217,120.0 | NaN | 217120.0 | 2.72 |
23 | Brunei Darussalam | BRN | 2017 | Import | 57,088.0 | 10,724.0 | NaN | 10724.0 | 5.32 |
24 | Armenia | ARM | 2017 | Import | 553,580.0 | 144,944.0 | NaN | 144944.0 | 3.82 |
25 | TFYR of Macedonia | MKD | 2017 | Import | 544,659.0 | 127,288.0 | NaN | 127288.0 | 4.28 |
26 | Jordan | JOR | 2017 | Import | 511,271.0 | 109,634.0 | NaN | 109634.0 | 4.66 |
27 | Israel | ISR | 2017 | Import | 5,778,000.0 | 721,833.0 | NaN | 721833.0 | 8.00 |
28 | Romania | ROU | 2017 | Import | 5,309,490.0 | 1,332,741.0 | NaN | 1332741.0 | 3.98 |
29 | Nicaragua | NIC | 2017 | Import | 461,101.0 | 122,872.0 | NaN | 122872.0 | 3.75 |
30 | France | FRA | 2017 | Import | 42,963,655.0 | 6,528,624.0 | NaN | 6528624.0 | 6.58 |
31 | Peru | PER | 2017 | Import | 4,405,968.0 | 1,185,002.0 | NaN | 1185002.0 | 3.72 |
32 | Greece | GRC | 2017 | Import | 4,015,591.0 | 1,088,715.0 | NaN | 1088715.0 | 3.69 |
33 | Russian Federation | RUS | 2017 | Import | 38,608,445.0 | 6,468,284.0 | NaN | 6468284.0 | 5.97 |
34 | China | CHN | 2017 | Import | 36,433,348.0 | 4,196,111.0 | NaN | 4196111.0 | 8.68 |
35 | Zambia | ZMB | 2017 | Import | 34,952.0 | 22,217.0 | NaN | 22217.0 | 1.57 |
36 | Kyrgyzstan | KGZ | 2017 | Import | 337,006.0 | 76,870.0 | NaN | 76870.0 | 4.38 |
37 | Albania | ALB | 2017 | Import | 316,063.0 | 132,914.0 | NaN | 132914.0 | 2.38 |
38 | Oman | OMN | 2017 | Import | 314,488.0 | 177,553.0 | NaN | 177553.0 | 1.77 |
39 | United Kingdom | GBR | 2017 | Import | 31,687,247.0 | 4,324,316.0 | NaN | 4324316.0 | 7.33 |
40 | Norway | NOR | 2017 | Import | 3,685,063.0 | 196,043.0 | NaN | 196043.0 | 18.80 |
41 | Finland | FIN | 2017 | Import | 3,666,181.0 | 300,533.0 | NaN | 300533.0 | 12.20 |
42 | Cameroon | CMR | 2017 | Import | 3,490.0 | 10,350.0 | NaN | 10350.0 | 0.34 |
43 | Indonesia | IDN | 2017 | Import | 3,312,191.0 | 1,358,476.0 | NaN | 1358476.0 | 2.44 |
44 | Colombia | COL | 2017 | Import | 3,197,525.0 | 902,182.0 | NaN | 902182.0 | 3.54 |
45 | Ecuador | ECU | 2017 | Import | 3,188,308.0 | 1,091,976.0 | NaN | 1873214.0 | 2.92 |
46 | Botswana | BWA | 2017 | Import | 290,337.0 | 55,197.0 | NaN | 55197.0 | 5.26 |
47 | Netherlands | NLD | 2017 | Import | 29,336,213.0 | 4,251,535.0 | NaN | 4251535.0 | 6.90 |
48 | Myanmar | MMR | 2017 | Import | 278,232.0 | 160,588.0 | NaN | 160588.0 | 1.73 |
49 | Cyprus | CYP | 2017 | Import | 256,769.0 | 32,174.0 | NaN | 32174.0 | 7.98 |
50 | USA | USA | 2017 | Import | 245,445,541.0 | 35,606,100.0 | NaN | 35606100.0 | 6.89 |
51 | Montenegro | MNE | 2017 | Import | 232,860.0 | 106,960.0 | NaN | 106960.0 | 2.18 |
52 | Japan | JPN | 2017 | Import | 23,391,997.0 | 3,641,348.0 | NaN | 3641348.0 | 6.42 |
53 | Iceland | ISL | 2017 | Import | 207,847.0 | 14,183.0 | NaN | 14183.0 | 14.65 |
54 | Lithuania | LTU | 2017 | Import | 2,994,361.0 | 478,099.0 | NaN | 478099.0 | 6.26 |
55 | Egypt | EGY | 2017 | Import | 2,652,166.0 | 331,329.0 | NaN | 331329.0 | 8.00 |
56 | Slovakia | SVK | 2017 | Import | 2,529,896.0 | 480,788.0 | NaN | 480788.0 | 5.26 |
57 | South Africa | ZAF | 2017 | Import | 2,527,268.0 | 767,978.0 | NaN | 767978.0 | 3.29 |
58 | Argentina | ARG | 2017 | Import | 2,476,971.0 | 452,509.0 | NaN | 452509.0 | 5.47 |
59 | Singapore | SGP | 2017 | Import | 2,462,715.0 | 314,072.0 | NaN | 314072.0 | 7.84 |
60 | Hungary | HUN | 2017 | Import | 2,420,909.0 | 490,379.0 | NaN | 490379.0 | 4.94 |
61 | Ireland | IRL | 2017 | Import | 2,405,887.0 | 654,275.0 | NaN | 654275.0 | 3.68 |
62 | Belarus | BLR | 2017 | Import | 2,350,500.0 | 476,110.0 | NaN | 476110.0 | 4.94 |
63 | Malaysia | MYS | 2017 | Import | 2,208,578.0 | 822,047.0 | NaN | 822047.0 | 2.69 |
64 | Mongolia | MNG | 2017 | Import | 199,534.0 | 60,321.0 | NaN | 60321.0 | 3.31 |
65 | Ghana | GHA | 2017 | Import | 19,223.0 | 29,349.0 | NaN | 29349.0 | 0.65 |
66 | Jamaica | JAM | 2017 | Import | 184,902.0 | 31,793.0 | NaN | 31793.0 | 5.82 |
67 | Italy | ITA | 2017 | Import | 18,951,610.0 | 2,689,349.0 | NaN | 2689349.0 | 7.05 |
68 | Belgium | BEL | 2017 | Import | 18,325,349.0 | 2,231,187.0 | NaN | 2231187.0 | 8.21 |
69 | Belize | BLZ | 2017 | Import | 18,219.0 | 12,733.0 | NaN | 12733.0 | 1.43 |
70 | Rep. of Korea | KOR | 2017 | Import | 17,824,443.0 | 2,484,400.0 | NaN | 2484400.0 | 7.17 |
71 | Mexico | MEX | 2017 | Import | 17,213,374.0 | 6,840,777.0 | NaN | 6840777.0 | 2.52 |
72 | Turkey | TUR | 2017 | Import | 14,784,412.0 | 1,524,262.0 | NaN | 1524262.0 | 9.70 |
73 | Austria | AUT | 2017 | Import | 13,927,561.0 | 1,075,450.0 | NaN | 1075450.0 | 12.95 |
74 | Australia | AUS | 2017 | Import | 12,351,914.0 | 3,096,431.0 | NaN | 3096431.0 | 3.99 |
75 | Poland | POL | 2017 | Import | 11,677,672.0 | 2,754,180.0 | NaN | 2754180.0 | 4.24 |
76 | Mauritius | MUS | 2017 | Import | 108,825.0 | 19,257.0 | NaN | 19257.0 | 5.65 |
77 | Switzerland | CHE | 2017 | Import | 10,910,383.0 | 711,758.0 | NaN | 711758.0 | 15.33 |
78 | Czechia | CZE | 2017 | Import | 10,808,375.0 | 11,845,614.0 | NaN | 11845614.0 | 0.91 |
79 | Philippines | PHL | 2017 | Import | 10,244,986.0 | 1,643,334.0 | NaN | 1566918.0 | 6.23 |
80 | Lebanon | LBN | 2017 | Import | 1,977,602.0 | 570,519.0 | NaN | 570519.0 | 3.47 |
81 | Algeria | DZA | 2017 | Import | 1,907,852.0 | 846,939.0 | NaN | 846939.0 | 2.25 |
82 | New Zealand | NZL | 2017 | Import | 1,725,607.0 | 215,576.0 | NaN | 215576.0 | 8.00 |
83 | Portugal | PRT | 2017 | Import | 1,616,021.0 | 579,400.0 | NaN | 579400.0 | 2.79 |
84 | Latvia | LVA | 2017 | Import | 1,603,228.0 | 237,246.0 | NaN | 237246.0 | 6.76 |
85 | Serbia | SRB | 2017 | Import | 1,557,439.0 | 226,738.0 | NaN | 226738.0 | 6.87 |
86 | Estonia | EST | 2017 | Import | 1,455,655.0 | 240,667.0 | NaN | 240667.0 | 6.05 |
87 | Kuwait | KWT | 2017 | Import | 1,433,350.0 | 204,930.0 | NaN | 204930.0 | 6.99 |
88 | Pakistan | PAK | 2017 | Import | 1,314,368.0 | 184,752.0 | NaN | 184752.0 | 7.11 |
89 | Bulgaria | BGR | 2017 | Import | 1,159,894.0 | 204,782.0 | NaN | 204782.0 | 5.66 |
90 | Bosnia Herzegovina | BIH | 2017 | Import | 1,077,896.0 | 236,495.0 | NaN | 236495.0 | 4.56 |
91 | Georgia | GEO | 2017 | Import | 1,059,067.0 | 394,127.0 | NaN | 394125.0 | 2.69 |