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
“Washing machines; household or laundry-type, of a dry linen capacity exceeding 10kg”(HScode:845020)
The graphs that have been shared show the International Trade Price and Weight of
“Washing machines; household or laundry-type, of a dry linen capacity exceeding 10kg”(HScode:845020)
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:845020)
Here is a graph which shows export statistics of
845020 – Washing machines; household or laundry-type, of a dry linen capacity exceeding 10kg(HScode:845020) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
845020 – Washing machines; household or laundry-type, of a dry linen capacity exceeding 10kg(HScode:845020) 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, Viet Nam ranked at the top in exports of “845020 – Washing machines; household or laundry-type, of a dry linen capacity exceeding 10kg” total export value 750,668,860.0USD
Viet Nam is followed by Rep. of Korea: 545,741,528.0USD
China: 539,546,026.0USD
Mexico: 393,144,184.0USD
USA: 331,079,832.0USD and
Czechia: 99,384,533.0USD
Viet Nam is followed by Rep. of Korea: 545,741,528.0USD
China: 539,546,026.0USD
Mexico: 393,144,184.0USD
USA: 331,079,832.0USD and
Czechia: 99,384,533.0USD
Supplier country’s “export value per KG” of (HScode:845020)
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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Belarus ranked first in Exports “845020 – Washing machines; household or laundry-type, of a dry linen capacity exceeding 10kg” at the lowest price of 1.05USD/KG Belarus is followed by Netherlands1.66USD/KG, Costa Rica1.91USD/KG, Algeria2.53USD/KG, Slovenia2.96USD/KG, and Zambia3.34USD/KG
Import Trade Statistics of (HScode:845020)
The statistics show the ranking of
845020 – Washing machines; household or laundry-type, of a dry linen capacity exceeding 10kg(HScode:845020) worldwide in 2017
845020 – Washing machines; household or laundry-type, of a dry linen capacity exceeding 10kg(HScode:845020) worldwide in 2017
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the top importing countries worldwide in 2017
USA ranked first in imports of “845020 – Washing machines; household or laundry-type, of a dry linen capacity exceeding 10kg” Total import value 1,728,124,345.0USD
USA is followed by Canada: 300,119,421.0USD
Rep. of Korea: 195,709,262.0USD
Mexico: 153,483,167.0USD
Colombia: 107,428,958.0USD and
Peru: 82,502,109.0USD
USA ranked first in imports of “845020 – Washing machines; household or laundry-type, of a dry linen capacity exceeding 10kg” Total import value 1,728,124,345.0USD
USA is followed by Canada: 300,119,421.0USD
Rep. of Korea: 195,709,262.0USD
Mexico: 153,483,167.0USD
Colombia: 107,428,958.0USD and
Peru: 82,502,109.0USD
Buyer country’s “import Value per KG” of (HScode:845020)
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 “845020 – Washing machines; household or laundry-type, of a dry linen capacity exceeding 10kg” at the highest price of 27.83/KG Azerbaijan is followed by Austria, Norway, Lithuania, Switzerland, and Zambia
Table data of “845020 – Washing machines; household or laundry-type, of a dry linen capacity exceeding 10kg”(HS:845020)[Export]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Czechia | CZE | 2017 | Export | 99,384,533.0 | 7,450,873.0 | NaN | 20153.0 | 13.34 |
1 | Iran | IRN | 2017 | Export | 97,504.0 | 12,365.0 | NaN | 0.0 | 7.89 |
2 | Saint Lucia | LCA | 2017 | Export | 90,302.0 | 24,464.0 | NaN | 0.0 | 3.69 |
3 | Slovenia | SVN | 2017 | Export | 9,095,987.0 | 3,073,933.0 | NaN | 4941.0 | 2.96 |
4 | Malaysia | MYS | 2017 | Export | 847,107.0 | 61,639.0 | NaN | 477.0 | 13.74 |
5 | Germany | DEU | 2017 | Export | 82,919,691.0 | 3,695,194.0 | NaN | 4600.0 | 22.44 |
6 | Colombia | COL | 2017 | Export | 8,391,114.0 | 1,488,863.0 | NaN | 36039.0 | 5.64 |
7 | Belgium | BEL | 2017 | Export | 8,331,440.0 | 651,820.0 | NaN | 0.0 | 12.78 |
8 | Egypt | EGY | 2017 | Export | 773,838.0 | 56,307.0 | NaN | 0.0 | 13.74 |
9 | Viet Nam | VNM | 2017 | Export | 750,668,860.0 | 65,514,638.0 | NaN | 0.0 | 11.46 |
10 | Costa Rica | CRI | 2017 | Export | 64,161.0 | 33,561.0 | NaN | 0.0 | 1.91 |
11 | Sweden | SWE | 2017 | Export | 63,481,366.0 | 3,873,707.0 | NaN | 15751.0 | 16.39 |
12 | Spain | ESP | 2017 | Export | 61,454,416.0 | 5,112,493.0 | NaN | 0.0 | 12.02 |
13 | Singapore | SGP | 2017 | Export | 6,274,811.0 | 456,581.0 | NaN | 14352.0 | 13.74 |
14 | Belarus | BLR | 2017 | Export | 55,900.0 | 53,199.0 | NaN | 37.0 | 1.05 |
15 | Rep. of Korea | KOR | 2017 | Export | 545,741,528.0 | 81,628,997.0 | NaN | 0.0 | 6.69 |
16 | China | CHN | 2017 | Export | 539,546,026.0 | 39,259,594.0 | NaN | 0.0 | 13.74 |
17 | Netherlands | NLD | 2017 | Export | 5,277,774.0 | 3,187,740.0 | NaN | 5186.0 | 1.66 |
18 | Mexico | MEX | 2017 | Export | 393,144,184.0 | 28,606,792.0 | NaN | 1037320.0 | 13.74 |
19 | Slovakia | SVK | 2017 | Export | 373,064.0 | 57,124.0 | NaN | 856.0 | 6.53 |
20 | India | IND | 2017 | Export | 3,451,733.0 | 251,162.0 | NaN | 25768.0 | 13.74 |
21 | Australia | AUS | 2017 | Export | 293,370.0 | 21,346.0 | NaN | 797.0 | 13.74 |
22 | Italy | ITA | 2017 | Export | 28,035,069.0 | 3,718,692.0 | NaN | 32593.0 | 7.54 |
23 | Greece | GRC | 2017 | Export | 247,435.0 | 12,189.0 | NaN | 83.0 | 20.30 |
24 | Norway | NOR | 2017 | Export | 243,860.0 | 22,325.0 | NaN | 42.0 | 10.92 |
25 | Algeria | DZA | 2017 | Export | 216,760.0 | 85,507.0 | NaN | 0.0 | 2.53 |
26 | Bulgaria | BGR | 2017 | Export | 205,579.0 | 29,356.0 | NaN | 429.0 | 7.00 |
27 | Lithuania | LTU | 2017 | Export | 2,883,487.0 | 188,705.0 | NaN | 419.0 | 15.28 |
28 | United Kingdom | GBR | 2017 | Export | 2,842,544.0 | 649,848.0 | NaN | 16611.0 | 4.37 |
29 | South Africa | ZAF | 2017 | Export | 2,740,306.0 | 199,396.0 | NaN | 12578.0 | 13.74 |
30 | Portugal | PRT | 2017 | Export | 2,552,240.0 | 219,404.0 | NaN | 339.0 | 11.63 |
31 | Russian Federation | RUS | 2017 | Export | 2,288,883.0 | 239,491.0 | NaN | 1315.0 | 9.56 |
32 | Japan | JPN | 2017 | Export | 16,160,601.0 | 1,175,912.0 | NaN | 13061.0 | 13.74 |
33 | Brazil | BRA | 2017 | Export | 14,634,351.0 | 3,276,364.0 | NaN | 81049.0 | 4.47 |
34 | France | FRA | 2017 | Export | 14,295,319.0 | 1,010,276.0 | NaN | 0.0 | 14.15 |
35 | Poland | POL | 2017 | Export | 13,011,840.0 | 2,529,646.0 | NaN | 42120.0 | 5.14 |
36 | Turkey | TUR | 2017 | Export | 12,288,277.0 | 2,089,042.0 | NaN | 15119.0 | 5.88 |
37 | Chile | CHL | 2017 | Export | 11,979,586.0 | 871,684.0 | NaN | 47657.0 | 13.74 |
38 | Hungary | HUN | 2017 | Export | 104,867.0 | 27,638.0 | NaN | 627.0 | 3.79 |
39 | Ireland | IRL | 2017 | Export | 101,552.0 | 30,379.0 | NaN | 0.0 | 3.34 |
40 | Austria | AUT | 2017 | Export | 1,700,229.0 | 32,200.0 | NaN | 0.0 | 52.80 |
41 | Finland | FIN | 2017 | Export | 1,617,012.0 | 55,780.0 | NaN | 118.0 | 28.99 |
42 | Denmark | DNK | 2017 | Export | 1,584,964.0 | 115,328.0 | NaN | 0.0 | 13.74 |
43 | Latvia | LVA | 2017 | Export | 1,233,424.0 | 219,102.0 | NaN | 3419.0 | 5.63 |
44 | Myanmar | MMR | 2017 | Export | 1,103,463.0 | 80,292.0 | NaN | 102427.0 | 13.74 |
45 | Switzerland | CHE | 2017 | Export | 1,091,579.0 | 82,597.0 | NaN | 344.0 | 13.22 |
46 | China, Hong Kong SAR | HKG | 2017 | Export | 1,040,042.0 | 75,677.0 | NaN | 378.0 | 13.74 |
Table data of “845020 – Washing machines; household or laundry-type, of a dry linen capacity exceeding 10kg”(HS:845020)[Import]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Slovenia | SVN | 2017 | Import | 994,090.0 | 160,778.0 | NaN | 156.0 | 6.18 |
1 | Nepal | NPL | 2017 | Import | 97,986.0 | 13,991.0 | NaN | 922.0 | 7.00 |
2 | Hungary | HUN | 2017 | Import | 962,774.0 | 144,108.0 | NaN | 485.0 | 6.68 |
3 | Albania | ALB | 2017 | Import | 93,669.0 | 12,847.0 | NaN | 83.0 | 7.29 |
4 | Dominican Rep. | DOM | 2017 | Import | 9,985,959.0 | 1,425,893.0 | NaN | 0.0 | 7.00 |
5 | Singapore | SGP | 2017 | Import | 9,754,818.0 | 1,392,888.0 | NaN | 19218.0 | 7.00 |
6 | Portugal | PRT | 2017 | Import | 9,269,892.0 | 944,857.0 | NaN | 8971.0 | 9.81 |
7 | Zambia | ZMB | 2017 | Import | 899,246.0 | 58,281.0 | NaN | 992.0 | 15.43 |
8 | Bosnia Herzegovina | BIH | 2017 | Import | 865,681.0 | 127,720.0 | NaN | 0.0 | 6.78 |
9 | Iceland | ISL | 2017 | Import | 851,994.0 | 59,806.0 | NaN | 0.0 | 14.25 |
10 | Peru | PER | 2017 | Import | 82,502,109.0 | 17,643,316.0 | NaN | 373723.0 | 4.68 |
11 | India | IND | 2017 | Import | 8,798,531.0 | 1,256,340.0 | NaN | 17100.0 | 7.00 |
12 | Argentina | ARG | 2017 | Import | 8,785,852.0 | 1,356,880.0 | NaN | 17661.0 | 6.48 |
13 | Paraguay | PRY | 2017 | Import | 8,510,569.0 | 1,422,708.0 | NaN | 0.0 | 5.98 |
14 | Belgium | BEL | 2017 | Import | 8,428,267.0 | 641,615.0 | NaN | 0.0 | 13.14 |
15 | Latvia | LVA | 2017 | Import | 771,130.0 | 163,768.0 | NaN | 2570.0 | 4.71 |
16 | Madagascar | MDG | 2017 | Import | 73,224.0 | 27,256.0 | NaN | 0.0 | 2.69 |
17 | Ghana | GHA | 2017 | Import | 710,909.0 | 499,243.0 | NaN | 0.0 | 1.42 |
18 | Kuwait | KWT | 2017 | Import | 7,592,115.0 | 1,109,755.0 | NaN | 20745.0 | 6.84 |
19 | Poland | POL | 2017 | Import | 7,098,582.0 | 820,651.0 | NaN | 7178.0 | 8.65 |
20 | Serbia | SRB | 2017 | Import | 643,210.0 | 48,992.0 | NaN | 0.0 | 13.13 |
21 | Pakistan | PAK | 2017 | Import | 641,295.0 | 91,570.0 | NaN | 1187.0 | 7.00 |
22 | Lesotho | LSO | 2017 | Import | 64,767.0 | 22,563.0 | NaN | 0.0 | 2.87 |
23 | Georgia | GEO | 2017 | Import | 630,548.0 | 61,713.0 | NaN | 433.0 | 10.22 |
24 | Ecuador | ECU | 2017 | Import | 60,725,297.0 | 11,981,079.0 | NaN | 277930.0 | 5.07 |
25 | Chile | CHL | 2017 | Import | 58,532,234.0 | 8,357,806.0 | NaN | 231231.0 | 7.00 |
26 | Brazil | BRA | 2017 | Import | 58,297,594.0 | 16,742,250.0 | NaN | 233193.0 | 3.48 |
27 | Azerbaijan | AZE | 2017 | Import | 515,300.0 | 18,514.0 | NaN | 286.0 | 27.83 |
28 | Japan | JPN | 2017 | Import | 51,966,024.0 | 4,872,130.0 | NaN | 0.0 | 10.67 |
29 | Austria | AUT | 2017 | Import | 5,650,012.0 | 213,400.0 | NaN | 0.0 | 26.48 |
30 | Denmark | DNK | 2017 | Import | 5,638,423.0 | 805,109.0 | NaN | 0.0 | 7.00 |
31 | Ireland | IRL | 2017 | Import | 5,492,941.0 | 858,089.0 | NaN | 0.0 | 6.40 |
32 | New Zealand | NZL | 2017 | Import | 5,421,160.0 | 774,086.0 | NaN | 3070.0 | 7.00 |
33 | Malaysia | MYS | 2017 | Import | 49,741,491.0 | 7,102,578.0 | NaN | 142092.0 | 7.00 |
34 | Malawi | MWI | 2017 | Import | 48,040.0 | 12,348.0 | NaN | 59.0 | 3.89 |
35 | France | FRA | 2017 | Import | 47,711,792.0 | 8,938,413.0 | NaN | 0.0 | 5.34 |
36 | Kyrgyzstan | KGZ | 2017 | Import | 466,169.0 | 99,337.0 | NaN | 1342.0 | 4.69 |
37 | Egypt | EGY | 2017 | Import | 45,293,091.0 | 6,467,391.0 | NaN | 0.0 | 7.00 |
38 | Costa Rica | CRI | 2017 | Import | 44,507,936.0 | 9,474,074.0 | NaN | 0.0 | 4.70 |
39 | United Rep. of Tanzania | TZA | 2017 | Import | 437,646.0 | 93,178.0 | NaN | 0.0 | 4.70 |
40 | Fiji | FJI | 2017 | Import | 430,748.0 | 61,506.0 | NaN | 336.0 | 7.00 |
41 | Switzerland | CHE | 2017 | Import | 4,942,445.0 | 288,418.0 | NaN | 1295.0 | 17.14 |
42 | Nigeria | NGA | 2017 | Import | 4,843,569.0 | 691,612.0 | NaN | 0.0 | 7.00 |
43 | Norway | NOR | 2017 | Import | 4,617,070.0 | 251,212.0 | NaN | 622.0 | 18.38 |
44 | Sri Lanka | LKA | 2017 | Import | 4,558,292.0 | 650,877.0 | NaN | 7949.0 | 7.00 |
45 | Oman | OMN | 2017 | Import | 4,191,695.0 | 751,127.0 | NaN | 0.0 | 5.58 |
46 | United Kingdom | GBR | 2017 | Import | 39,549,954.0 | 7,823,095.0 | NaN | 102048.0 | 5.06 |
47 | Bermuda | BMU | 2017 | Import | 371,426.0 | 53,035.0 | NaN | 887.0 | 7.00 |
48 | Uganda | UGA | 2017 | Import | 343,669.0 | 95,862.0 | NaN | 1905.0 | 3.59 |
49 | Luxembourg | LUX | 2017 | Import | 341,602.0 | 30,211.0 | NaN | 132.0 | 11.31 |
50 | Philippines | PHL | 2017 | Import | 34,095,473.0 | 6,077,100.0 | NaN | 115724.0 | 5.61 |
51 | Côte d’Ivoire | CIV | 2017 | Import | 334,340.0 | 38,666.0 | NaN | 0.0 | 8.65 |
52 | Aruba | ABW | 2017 | Import | 329,434.0 | 55,148.0 | NaN | 0.0 | 5.97 |
53 | Cabo Verde | CPV | 2017 | Import | 328,166.0 | 53,149.0 | NaN | 0.0 | 6.17 |
54 | Montenegro | MNE | 2017 | Import | 320,384.0 | 30,760.0 | NaN | 271.0 | 10.42 |
55 | Indonesia | IDN | 2017 | Import | 32,700,978.0 | 6,922,706.0 | NaN | 0.0 | 4.72 |
56 | Armenia | ARM | 2017 | Import | 314,268.0 | 37,770.0 | NaN | 200.0 | 8.32 |
57 | Viet Nam | VNM | 2017 | Import | 31,626,047.0 | 4,678,545.0 | NaN | 0.0 | 6.76 |
58 | China | CHN | 2017 | Import | 31,499,527.0 | 4,497,811.0 | NaN | 0.0 | 7.00 |
59 | Mauritania | MRT | 2017 | Import | 30,689.0 | 15,010.0 | NaN | 0.0 | 2.04 |
60 | South Africa | ZAF | 2017 | Import | 30,123,094.0 | 4,301,270.0 | NaN | 156690.0 | 7.00 |
61 | China, Hong Kong SAR | HKG | 2017 | Import | 3,975,437.0 | 567,651.0 | NaN | 734.0 | 7.00 |
62 | Romania | ROU | 2017 | Import | 3,719,855.0 | 648,268.0 | NaN | 8997.0 | 5.74 |
63 | Greece | GRC | 2017 | Import | 3,699,030.0 | 512,079.0 | NaN | 5525.0 | 7.22 |
64 | Tunisia | TUN | 2017 | Import | 3,521,150.0 | 662,441.0 | NaN | 16108.0 | 5.32 |
65 | Finland | FIN | 2017 | Import | 3,390,159.0 | 335,090.0 | NaN | 2892.0 | 10.12 |
66 | Kazakhstan | KAZ | 2017 | Import | 3,140,964.0 | 333,555.0 | NaN | 0.0 | 9.42 |
67 | Uruguay | URY | 2017 | Import | 3,098,546.0 | 578,184.0 | NaN | 9595.0 | 5.36 |
68 | Cameroon | CMR | 2017 | Import | 271,902.0 | 80,447.0 | NaN | 0.0 | 3.38 |
69 | Brunei Darussalam | BRN | 2017 | Import | 258,577.0 | 36,922.0 | NaN | 905.0 | 7.00 |
70 | TFYR of Macedonia | MKD | 2017 | Import | 244,932.0 | 45,548.0 | NaN | 539.0 | 5.38 |
71 | Algeria | DZA | 2017 | Import | 24,250,302.0 | 4,906,385.0 | NaN | 0.0 | 4.94 |
72 | Italy | ITA | 2017 | Import | 22,359,827.0 | 3,162,599.0 | NaN | 28341.0 | 7.07 |
73 | Lithuania | LTU | 2017 | Import | 2,666,990.0 | 145,761.0 | NaN | 263.0 | 18.30 |
74 | Slovakia | SVK | 2017 | Import | 2,397,803.0 | 384,642.0 | NaN | 5387.0 | 6.23 |
75 | Israel | ISR | 2017 | Import | 2,384,000.0 | 340,410.0 | NaN | 0.0 | 7.00 |
76 | Bulgaria | BGR | 2017 | Import | 2,213,904.0 | 356,757.0 | NaN | 4621.0 | 6.21 |
77 | Rep. of Korea | KOR | 2017 | Import | 195,709,262.0 | 37,392,736.0 | NaN | 0.0 | 5.23 |
78 | Rep. of Moldova | MDA | 2017 | Import | 192,167.0 | 30,888.0 | NaN | 776.0 | 6.22 |
79 | Zimbabwe | ZWE | 2017 | Import | 186,332.0 | 141,582.0 | NaN | 0.0 | 1.32 |
80 | Australia | AUS | 2017 | Import | 18,361,256.0 | 2,621,800.0 | NaN | 15278.0 | 7.00 |
81 | El Salvador | SLV | 2017 | Import | 17,690,174.0 | 3,483,614.0 | NaN | 0.0 | 5.08 |
82 | Netherlands | NLD | 2017 | Import | 17,575,624.0 | 25,363,735.0 | NaN | 41275.0 | 0.69 |
83 | Iran | IRN | 2017 | Import | 17,255,983.0 | 2,595,259.0 | NaN | 0.0 | 6.65 |
84 | Mongolia | MNG | 2017 | Import | 169,700.0 | 28,869.0 | NaN | 541.0 | 5.88 |
85 | Mexico | MEX | 2017 | Import | 153,483,167.0 | 21,915,831.0 | NaN | 856553.0 | 7.00 |
86 | Swaziland | SWZ | 2017 | Import | 145,641.0 | 25,333.0 | NaN | 680.0 | 5.75 |
87 | Russian Federation | RUS | 2017 | Import | 14,894,787.0 | 1,730,407.0 | NaN | 14366.0 | 8.61 |
88 | Spain | ESP | 2017 | Import | 14,621,946.0 | 1,736,711.0 | NaN | 0.0 | 8.42 |
89 | Botswana | BWA | 2017 | Import | 132,459.0 | 38,659.0 | NaN | 0.0 | 3.43 |
90 | Congo | COG | 2017 | Import | 132,442.0 | 26,196.0 | NaN | 0.0 | 5.06 |
91 | Sweden | SWE | 2017 | Import | 13,321,197.0 | 1,087,871.0 | NaN | 8464.0 | 12.25 |
92 | Morocco | MAR | 2017 | Import | 12,480,368.0 | 3,201,110.0 | NaN | 0.0 | 3.90 |
93 | Nicaragua | NIC | 2017 | Import | 12,269,183.0 | 2,421,065.0 | NaN | 0.0 | 5.07 |
94 | Senegal | SEN | 2017 | Import | 113,557.0 | 21,434.0 | NaN | 0.0 | 5.30 |
95 | Czechia | CZE | 2017 | Import | 11,998,548.0 | 1,196,880.0 | NaN | 3659.0 | 10.02 |
96 | Honduras | HND | 2017 | Import | 11,601,649.0 | 2,493,353.0 | NaN | 49840.0 | 4.65 |
97 | Turkey | TUR | 2017 | Import | 11,172,989.0 | 2,438,016.0 | NaN | 29463.0 | 4.58 |
98 | Sudan | SDN | 2017 | Import | 11,102,348.0 | 1,585,302.0 | NaN | 0.0 | 7.00 |
99 | Colombia | COL | 2017 | Import | 107,428,958.0 | 22,100,141.0 | NaN | 443527.0 | 4.86 |
100 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 10,725,449.0 | 2,507,807.0 | NaN | 49277.0 | 4.28 |
101 | Germany | DEU | 2017 | Import | 10,511,228.0 | 1,089,442.0 | NaN | 7360.0 | 9.65 |
102 | Central African Rep. | CAF | 2017 | Import | 10,170.0 | 11,800.0 | NaN | 0.0 | 0.86 |
103 | Mauritius | MUS | 2017 | Import | 1,814,393.0 | 259,076.0 | NaN | 7012.0 | 7.00 |
104 | USA | USA | 2017 | Import | 1,728,124,345.0 | 246,758,543.0 | NaN | 0.0 | 7.00 |
105 | Belarus | BLR | 2017 | Import | 1,524,000.0 | 170,930.0 | NaN | 513.0 | 8.92 |
106 | Ukraine | UKR | 2017 | Import | 1,451,783.0 | 127,014.0 | NaN | 894.0 | 11.43 |
107 | Namibia | NAM | 2017 | Import | 1,417,463.0 | 371,248.0 | NaN | 0.0 | 3.82 |
108 | Saint Lucia | LCA | 2017 | Import | 1,319,005.0 | 264,167.0 | NaN | 0.0 | 4.99 |
109 | Kenya | KEN | 2017 | Import | 1,295,026.0 | 128,379.0 | NaN | 2802.0 | 10.09 |
110 | Jordan | JOR | 2017 | Import | 1,260,996.0 | 180,057.0 | NaN | 10046.0 | 7.00 |
111 | Lebanon | LBN | 2017 | Import | 1,248,181.0 | 211,495.0 | NaN | 0.0 | 5.90 |
112 | Belize | BLZ | 2017 | Import | 1,164,066.0 | 532,579.0 | NaN | 0.0 | 2.19 |
113 | Jamaica | JAM | 2017 | Import | 1,110,947.0 | 198,997.0 | NaN | 0.0 | 5.58 |
114 | Myanmar | MMR | 2017 | Import | 1,110,763.0 | 153,606.0 | NaN | 6053.0 | 7.23 |