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, not fully-automatic, without built-in centrifugal drier, of a dry linen capacity not exceeding 10kg”(HScode:845019)
The graphs that have been shared show the International Trade Price and Weight of
“Washing machines; household or laundry-type, not fully-automatic, without built-in centrifugal drier, of a dry linen capacity not exceeding 10kg”(HScode:845019)
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:845019)
Here is a graph which shows export statistics of
845019 – Washing machines; household or laundry-type, not fully-automatic, without built-in centrifugal drier, of a dry linen capacity not exceeding 10kg(HScode:845019) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
845019 – Washing machines; household or laundry-type, not fully-automatic, without built-in centrifugal drier, of a dry linen capacity not exceeding 10kg(HScode:845019) 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, China ranked at the top in exports of “845019 – Washing machines; household or laundry-type, not fully-automatic, without built-in centrifugal drier, of a dry linen capacity not exceeding 10kg” total export value 26,141,179.0USD
China is followed by Egypt: 15,623,942.0USD
Brazil: 6,878,979.0USD
Sweden: 2,584,373.0USD
Austria: 2,519,439.0USD and
South Africa: 2,428,324.0USD
China is followed by Egypt: 15,623,942.0USD
Brazil: 6,878,979.0USD
Sweden: 2,584,373.0USD
Austria: 2,519,439.0USD and
South Africa: 2,428,324.0USD
Supplier country’s “export value per KG” of (HScode:845019)
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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Switzerland ranked first in Exports “845019 – Washing machines; household or laundry-type, not fully-automatic, without built-in centrifugal drier, of a dry linen capacity not exceeding 10kg” at the lowest price of 0.53USD/KG Switzerland is followed by Hungary1.19USD/KG, Lithuania1.99USD/KG, Rep. of Korea2.33USD/KG, Serbia2.57USD/KG, and Aruba2.69USD/KG
Import Trade Statistics of (HScode:845019)
The statistics show the ranking of
845019 – Washing machines; household or laundry-type, not fully-automatic, without built-in centrifugal drier, of a dry linen capacity not exceeding 10kg(HScode:845019) worldwide in 2017
845019 – Washing machines; household or laundry-type, not fully-automatic, without built-in centrifugal drier, of a dry linen capacity not exceeding 10kg(HScode:845019) worldwide in 2017
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the top importing countries worldwide in 2017
United Kingdom ranked first in imports of “845019 – Washing machines; household or laundry-type, not fully-automatic, without built-in centrifugal drier, of a dry linen capacity not exceeding 10kg” Total import value 77,152,626.0USD
United Kingdom is followed by India: 21,671,056.0USD
Germany: 16,698,669.0USD
Egypt: 15,792,286.0USD
Dominican Rep.: 10,658,691.0USD and
Philippines: 10,133,808.0USD
United Kingdom ranked first in imports of “845019 – Washing machines; household or laundry-type, not fully-automatic, without built-in centrifugal drier, of a dry linen capacity not exceeding 10kg” Total import value 77,152,626.0USD
United Kingdom is followed by India: 21,671,056.0USD
Germany: 16,698,669.0USD
Egypt: 15,792,286.0USD
Dominican Rep.: 10,658,691.0USD and
Philippines: 10,133,808.0USD
Buyer country’s “import Value per KG” of (HScode:845019)
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 “845019 – Washing machines; household or laundry-type, not fully-automatic, without built-in centrifugal drier, of a dry linen capacity not exceeding 10kg” at the highest price of 46.27/KG Azerbaijan is followed by Indonesia, Swaziland, Kenya, Sweden, and Aruba
Table data of “845019 – Washing machines; household or laundry-type, not fully-automatic, without built-in centrifugal drier, of a dry linen capacity not exceeding 10kg”(HS:845019)[Export]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Switzerland | CHE | 2017 | Export | 9,221.0 | 17,449.0 | NaN | 335.0 | 0.53 |
1 | United Kingdom | GBR | 2017 | Export | 868,351.0 | 237,564.0 | NaN | 18961.0 | 3.66 |
2 | Pakistan | PAK | 2017 | Export | 796,778.0 | 146,284.0 | NaN | 9117.0 | 5.45 |
3 | Lithuania | LTU | 2017 | Export | 74,026.0 | 37,262.0 | NaN | 980.0 | 1.99 |
4 | Dominican Rep. | DOM | 2017 | Export | 69,338.0 | 12,730.0 | NaN | 0.0 | 5.45 |
5 | Argentina | ARG | 2017 | Export | 689,352.0 | 160,920.0 | NaN | 13557.0 | 4.28 |
6 | Turkey | TUR | 2017 | Export | 682,488.0 | 146,032.0 | NaN | 2143.0 | 4.67 |
7 | Malaysia | MYS | 2017 | Export | 68,555.0 | 12,586.0 | NaN | 326.0 | 5.45 |
8 | Brazil | BRA | 2017 | Export | 6,878,979.0 | 1,309,916.0 | NaN | 156200.0 | 5.25 |
9 | Netherlands | NLD | 2017 | Export | 598,336.0 | 115,055.0 | NaN | 1772.0 | 5.20 |
10 | Greece | GRC | 2017 | Export | 59,646.0 | 11,852.0 | NaN | 186.0 | 5.03 |
11 | India | IND | 2017 | Export | 392,553.0 | 72,070.0 | NaN | 1987.0 | 5.45 |
12 | Portugal | PRT | 2017 | Export | 347,318.0 | 53,614.0 | NaN | 892.0 | 6.48 |
13 | Hungary | HUN | 2017 | Export | 32,307.0 | 27,221.0 | NaN | 418.0 | 1.19 |
14 | Russian Federation | RUS | 2017 | Export | 282,844.0 | 50,345.0 | NaN | 4393.0 | 5.62 |
15 | Mexico | MEX | 2017 | Export | 280,238.0 | 51,450.0 | NaN | 889.0 | 5.45 |
16 | China | CHN | 2017 | Export | 26,141,179.0 | 4,799,393.0 | NaN | 0.0 | 5.45 |
17 | Rep. of Korea | KOR | 2017 | Export | 229,193.0 | 98,487.0 | NaN | 0.0 | 2.33 |
18 | Georgia | GEO | 2017 | Export | 227,279.0 | 84,590.0 | NaN | 6384.0 | 2.69 |
19 | Czechia | CZE | 2017 | Export | 227,119.0 | 44,634.0 | NaN | 4122.0 | 5.09 |
20 | Belarus | BLR | 2017 | Export | 217,600.0 | 62,728.0 | NaN | 2187.0 | 3.47 |
21 | Finland | FIN | 2017 | Export | 204,757.0 | 33,975.0 | NaN | 492.0 | 6.03 |
22 | Sweden | SWE | 2017 | Export | 2,584,373.0 | 548,853.0 | NaN | 8493.0 | 4.71 |
23 | Austria | AUT | 2017 | Export | 2,519,439.0 | 455,665.0 | NaN | 0.0 | 5.53 |
24 | South Africa | ZAF | 2017 | Export | 2,428,324.0 | 445,828.0 | NaN | 10996.0 | 5.45 |
25 | Singapore | SGP | 2017 | Export | 2,296,134.0 | 421,559.0 | NaN | 18311.0 | 5.45 |
26 | Belgium | BEL | 2017 | Export | 2,140,063.0 | 684,654.0 | NaN | 0.0 | 3.13 |
27 | Spain | ESP | 2017 | Export | 2,138,959.0 | 432,487.0 | NaN | 0.0 | 4.95 |
28 | Poland | POL | 2017 | Export | 2,046,748.0 | 377,130.0 | NaN | 9023.0 | 5.43 |
29 | Italy | ITA | 2017 | Export | 2,005,325.0 | 434,879.0 | NaN | 7843.0 | 4.61 |
30 | Australia | AUS | 2017 | Export | 196,027.0 | 35,989.0 | NaN | 107.0 | 5.45 |
31 | Viet Nam | VNM | 2017 | Export | 192,134.0 | 34,903.0 | NaN | 602.0 | 5.50 |
32 | Ukraine | UKR | 2017 | Export | 185,163.0 | 48,123.0 | NaN | 3463.0 | 3.85 |
33 | Lebanon | LBN | 2017 | Export | 182,799.0 | 33,452.0 | NaN | 0.0 | 5.46 |
34 | Serbia | SRB | 2017 | Export | 176,786.0 | 68,703.0 | NaN | 0.0 | 2.57 |
35 | Slovakia | SVK | 2017 | Export | 157,995.0 | 20,234.0 | NaN | 281.0 | 7.81 |
36 | Egypt | EGY | 2017 | Export | 15,623,942.0 | 2,868,480.0 | NaN | 0.0 | 5.45 |
37 | Estonia | EST | 2017 | Export | 144,995.0 | 20,932.0 | NaN | 835.0 | 6.93 |
38 | Indonesia | IDN | 2017 | Export | 130,237.0 | 40,530.0 | NaN | 408.0 | 3.21 |
39 | Kyrgyzstan | KGZ | 2017 | Export | 116,487.0 | 33,592.0 | NaN | 940.0 | 3.47 |
40 | Bulgaria | BGR | 2017 | Export | 109,714.0 | 31,710.0 | NaN | 740.0 | 3.46 |
41 | Latvia | LVA | 2017 | Export | 103,093.0 | 15,478.0 | NaN | 272.0 | 6.66 |
42 | Germany | DEU | 2017 | Export | 1,933,576.0 | 710,258.0 | NaN | 16228.0 | 2.72 |
43 | France | FRA | 2017 | Export | 1,447,318.0 | 372,399.0 | NaN | 0.0 | 3.89 |
44 | Denmark | DNK | 2017 | Export | 1,371,260.0 | 251,756.0 | NaN | 0.0 | 5.45 |
45 | Kuwait | KWT | 2017 | Export | 1,060,612.0 | 255,212.0 | NaN | 6802.0 | 4.16 |
Table data of “845019 – Washing machines; household or laundry-type, not fully-automatic, without built-in centrifugal drier, of a dry linen capacity not exceeding 10kg”(HS:845019)[Import]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Mexico | MEX | 2017 | Import | 991,331.0 | 257,136.0 | NaN | 18518.0 | 3.86 |
1 | Zambia | ZMB | 2017 | Import | 96,491.0 | 33,183.0 | NaN | 414.0 | 2.91 |
2 | Mauritius | MUS | 2017 | Import | 951,800.0 | 246,882.0 | NaN | 3709.0 | 3.86 |
3 | Portugal | PRT | 2017 | Import | 929,090.0 | 221,530.0 | NaN | 4332.0 | 4.19 |
4 | Honduras | HND | 2017 | Import | 924,857.0 | 639,371.0 | NaN | 8787.0 | 1.45 |
5 | Armenia | ARM | 2017 | Import | 90,273.0 | 17,857.0 | NaN | 415.0 | 5.06 |
6 | Paraguay | PRY | 2017 | Import | 9,153,373.0 | 1,708,490.0 | NaN | 61865.0 | 5.36 |
7 | Nigeria | NGA | 2017 | Import | 9,058,127.0 | 2,349,542.0 | NaN | 62393.0 | 3.86 |
8 | Georgia | GEO | 2017 | Import | 897,466.0 | 302,311.0 | NaN | 6796.0 | 2.97 |
9 | Senegal | SEN | 2017 | Import | 80,360.0 | 116,986.0 | NaN | 553.0 | 0.69 |
10 | Lebanon | LBN | 2017 | Import | 8,095,455.0 | 3,082,964.0 | NaN | 54714.0 | 2.63 |
11 | Israel | ISR | 2017 | Import | 798,000.0 | 206,989.0 | NaN | 2634.0 | 3.86 |
12 | Mongolia | MNG | 2017 | Import | 789,988.0 | 308,544.0 | NaN | 13403.0 | 2.56 |
13 | Namibia | NAM | 2017 | Import | 775,344.0 | 298,936.0 | NaN | 0.0 | 2.59 |
14 | United Kingdom | GBR | 2017 | Import | 77,152,626.0 | 31,795,127.0 | NaN | 475703.0 | 2.43 |
15 | Denmark | DNK | 2017 | Import | 759,048.0 | 196,885.0 | NaN | 5130.0 | 3.86 |
16 | Jordan | JOR | 2017 | Import | 7,459,919.0 | 1,934,991.0 | NaN | 249001.0 | 3.86 |
17 | Spain | ESP | 2017 | Import | 7,150,681.0 | 2,601,054.0 | NaN | 48329.0 | 2.75 |
18 | Malaysia | MYS | 2017 | Import | 638,934.0 | 165,729.0 | NaN | 10969.0 | 3.86 |
19 | Finland | FIN | 2017 | Import | 629,401.0 | 114,071.0 | NaN | 1559.0 | 5.52 |
20 | Malawi | MWI | 2017 | Import | 62,366.0 | 14,477.0 | NaN | 252.0 | 4.31 |
21 | Samoa | WSM | 2017 | Import | 60,741.0 | 15,755.0 | NaN | 322.0 | 3.86 |
22 | Morocco | MAR | 2017 | Import | 6,041,056.0 | 1,756,615.0 | NaN | 36700.0 | 3.44 |
23 | Belize | BLZ | 2017 | Import | 597,954.0 | 465,954.0 | NaN | 4118.0 | 1.28 |
24 | Poland | POL | 2017 | Import | 597,282.0 | 148,698.0 | NaN | 11484.0 | 4.02 |
25 | Peru | PER | 2017 | Import | 57,602.0 | 24,340.0 | NaN | 287.0 | 2.37 |
26 | Myanmar | MMR | 2017 | Import | 569,217.0 | 147,646.0 | NaN | 6685.0 | 3.86 |
27 | Kyrgyzstan | KGZ | 2017 | Import | 55,515.0 | 31,037.0 | NaN | 2225.0 | 1.79 |
28 | Togo | TGO | 2017 | Import | 54,141.0 | 13,757.0 | NaN | 207.0 | 3.94 |
29 | Luxembourg | LUX | 2017 | Import | 530,513.0 | 134,480.0 | NaN | 1602.0 | 3.94 |
30 | Ecuador | ECU | 2017 | Import | 5,416,185.0 | 1,578,333.0 | NaN | 67520.0 | 3.43 |
31 | Albania | ALB | 2017 | Import | 498,589.0 | 466,575.0 | NaN | 5256.0 | 1.07 |
32 | Congo | COG | 2017 | Import | 49,871.0 | 27,718.0 | NaN | 337.0 | 1.80 |
33 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 489,573.0 | 154,755.0 | NaN | 4536.0 | 3.16 |
34 | Mauritania | MRT | 2017 | Import | 48,705.0 | 17,753.0 | NaN | 335.0 | 2.74 |
35 | China, Hong Kong SAR | HKG | 2017 | Import | 46,171.0 | 11,976.0 | NaN | 3207.0 | 3.86 |
36 | Oman | OMN | 2017 | Import | 454,777.0 | 152,446.0 | NaN | 3073.0 | 2.98 |
37 | Uruguay | URY | 2017 | Import | 446,504.0 | 128,197.0 | NaN | 5623.0 | 3.48 |
38 | Indonesia | IDN | 2017 | Import | 446,065.0 | 31,264.0 | NaN | 2709.0 | 14.27 |
39 | Belarus | BLR | 2017 | Import | 441,400.0 | 89,887.0 | NaN | 5261.0 | 4.91 |
40 | Sweden | SWE | 2017 | Import | 412,273.0 | 53,966.0 | NaN | 997.0 | 7.64 |
41 | Greece | GRC | 2017 | Import | 411,006.0 | 179,819.0 | NaN | 3217.0 | 2.29 |
42 | Aruba | ABW | 2017 | Import | 406,864.0 | 57,207.0 | NaN | 2802.0 | 7.11 |
43 | South Africa | ZAF | 2017 | Import | 406,607.0 | 105,467.0 | NaN | 6815.0 | 3.86 |
44 | Cabo Verde | CPV | 2017 | Import | 405,072.0 | 148,973.0 | NaN | 2790.0 | 2.72 |
45 | Zimbabwe | ZWE | 2017 | Import | 40,717.0 | 31,598.0 | NaN | 142.0 | 1.29 |
46 | Bulgaria | BGR | 2017 | Import | 383,213.0 | 72,157.0 | NaN | 2056.0 | 5.31 |
47 | Serbia | SRB | 2017 | Import | 370,483.0 | 117,398.0 | NaN | 2503.0 | 3.16 |
48 | Czechia | CZE | 2017 | Import | 363,454.0 | 53,773.0 | NaN | 6478.0 | 6.76 |
49 | Kenya | KEN | 2017 | Import | 352,191.0 | 46,048.0 | NaN | 633.0 | 7.65 |
50 | Italy | ITA | 2017 | Import | 337,243.0 | 49,178.0 | NaN | 834.0 | 6.86 |
51 | Sudan | SDN | 2017 | Import | 337,004.0 | 87,413.0 | NaN | 2277.0 | 3.86 |
52 | Romania | ROU | 2017 | Import | 336,905.0 | 220,801.0 | NaN | 6067.0 | 1.53 |
53 | Japan | JPN | 2017 | Import | 333,940.0 | 60,755.0 | NaN | 2257.0 | 5.50 |
54 | Algeria | DZA | 2017 | Import | 3,750,321.0 | 1,119,415.0 | NaN | 25347.0 | 3.35 |
55 | USA | USA | 2017 | Import | 3,117,540.0 | 808,643.0 | NaN | 80560.0 | 3.86 |
56 | Colombia | COL | 2017 | Import | 3,096,271.0 | 1,019,453.0 | NaN | 58381.0 | 3.04 |
57 | Rep. of Moldova | MDA | 2017 | Import | 285,953.0 | 80,211.0 | NaN | 6362.0 | 3.57 |
58 | Latvia | LVA | 2017 | Import | 284,188.0 | 61,380.0 | NaN | 1261.0 | 4.63 |
59 | Ukraine | UKR | 2017 | Import | 259,795.0 | 85,599.0 | NaN | 8988.0 | 3.04 |
60 | Argentina | ARG | 2017 | Import | 246,374.0 | 44,188.0 | NaN | 4973.0 | 5.58 |
61 | Nicaragua | NIC | 2017 | Import | 243,180.0 | 90,635.0 | NaN | 1643.0 | 2.68 |
62 | Estonia | EST | 2017 | Import | 228,502.0 | 45,516.0 | NaN | 1358.0 | 5.02 |
63 | Lithuania | LTU | 2017 | Import | 215,345.0 | 47,140.0 | NaN | 2537.0 | 4.57 |
64 | India | IND | 2017 | Import | 21,671,056.0 | 5,621,146.0 | NaN | 270298.0 | 3.86 |
65 | Mozambique | MOZ | 2017 | Import | 206,916.0 | 63,845.0 | NaN | 1354.0 | 3.24 |
66 | Kazakhstan | KAZ | 2017 | Import | 2,948,538.0 | 1,035,409.0 | NaN | 19928.0 | 2.85 |
67 | Singapore | SGP | 2017 | Import | 2,873,214.0 | 745,268.0 | NaN | 15582.0 | 3.86 |
68 | Ireland | IRL | 2017 | Import | 2,304,186.0 | 824,923.0 | NaN | 12806.0 | 2.79 |
69 | Switzerland | CHE | 2017 | Import | 2,139,202.0 | 350,457.0 | NaN | 5324.0 | 6.10 |
70 | Belgium | BEL | 2017 | Import | 2,092,640.0 | 689,802.0 | NaN | 14143.0 | 3.03 |
71 | Côte d’Ivoire | CIV | 2017 | Import | 194,777.0 | 111,673.0 | NaN | 1341.0 | 1.74 |
72 | Botswana | BWA | 2017 | Import | 181,140.0 | 41,998.0 | NaN | 1247.0 | 4.31 |
73 | Chile | CHL | 2017 | Import | 180,779.0 | 46,891.0 | NaN | 2477.0 | 3.86 |
74 | Brunei Darussalam | BRN | 2017 | Import | 171,258.0 | 44,421.0 | NaN | 1254.0 | 3.86 |
75 | Germany | DEU | 2017 | Import | 16,698,669.0 | 3,397,132.0 | NaN | 122956.0 | 4.92 |
76 | Cameroon | CMR | 2017 | Import | 159,780.0 | 105,418.0 | NaN | 1100.0 | 1.52 |
77 | Swaziland | SWZ | 2017 | Import | 150,907.0 | 16,936.0 | NaN | 206.0 | 8.91 |
78 | Egypt | EGY | 2017 | Import | 15,792,286.0 | 4,096,281.0 | NaN | 108779.0 | 3.86 |
79 | Slovenia | SVN | 2017 | Import | 13,541.0 | 500,896.0 | NaN | 96.0 | 0.03 |
80 | Gambia | GMB | 2017 | Import | 13,143.0 | 12,150.0 | NaN | 90.0 | 1.08 |
81 | TFYR of Macedonia | MKD | 2017 | Import | 126,726.0 | 29,694.0 | NaN | 432.0 | 4.27 |
82 | United Rep. of Tanzania | TZA | 2017 | Import | 124,275.0 | 32,128.0 | NaN | 839.0 | 3.87 |
83 | Bermuda | BMU | 2017 | Import | 119,861.0 | 31,090.0 | NaN | 219.0 | 3.86 |
84 | Nepal | NPL | 2017 | Import | 117,470.0 | 30,470.0 | NaN | 1542.0 | 3.86 |
85 | Australia | AUS | 2017 | Import | 117,372.0 | 30,444.0 | NaN | 3246.0 | 3.86 |
86 | Bosnia Herzegovina | BIH | 2017 | Import | 110,325.0 | 58,789.0 | NaN | 745.0 | 1.88 |
87 | Hungary | HUN | 2017 | Import | 11,992.0 | 18,408.0 | NaN | 296.0 | 0.65 |
88 | Benin | BEN | 2017 | Import | 11,437.0 | 27,285.0 | NaN | 78.0 | 0.42 |
89 | Madagascar | MDG | 2017 | Import | 106,443.0 | 48,916.0 | NaN | 719.0 | 2.18 |
90 | Viet Nam | VNM | 2017 | Import | 105,591.0 | 29,820.0 | NaN | 641.0 | 3.54 |
91 | Dominican Rep. | DOM | 2017 | Import | 10,658,691.0 | 2,764,704.0 | NaN | 72039.0 | 3.86 |
92 | Philippines | PHL | 2017 | Import | 10,133,808.0 | 4,000,986.0 | NaN | 111545.0 | 2.53 |
93 | France | FRA | 2017 | Import | 1,962,604.0 | 600,438.0 | NaN | 13264.0 | 3.27 |
94 | Slovakia | SVK | 2017 | Import | 1,954,690.0 | 375,658.0 | NaN | 7305.0 | 5.20 |
95 | Austria | AUT | 2017 | Import | 1,921,524.0 | 389,154.0 | NaN | 12987.0 | 4.94 |
96 | Azerbaijan | AZE | 2017 | Import | 1,794,960.0 | 38,796.0 | NaN | 1586.0 | 46.27 |
97 | Netherlands | NLD | 2017 | Import | 1,729,715.0 | 771,386.0 | NaN | 11910.0 | 2.24 |
98 | Ghana | GHA | 2017 | Import | 1,725,455.0 | 1,376,230.0 | NaN | 11885.0 | 1.25 |
99 | Kuwait | KWT | 2017 | Import | 1,635,511.0 | 394,454.0 | NaN | 8671.0 | 4.15 |
100 | Norway | NOR | 2017 | Import | 1,618,078.0 | 324,719.0 | NaN | 4759.0 | 4.98 |
101 | Fiji | FJI | 2017 | Import | 1,475,857.0 | 382,815.0 | NaN | 9588.0 | 3.86 |
102 | Rep. of Korea | KOR | 2017 | Import | 1,231,544.0 | 175,250.0 | NaN | 8323.0 | 7.03 |
103 | Tunisia | TUN | 2017 | Import | 1,228,566.0 | 393,527.0 | NaN | 16436.0 | 3.12 |
104 | Pakistan | PAK | 2017 | Import | 1,173,118.0 | 304,289.0 | NaN | 29654.0 | 3.86 |
105 | Russian Federation | RUS | 2017 | Import | 1,144,472.0 | 290,162.0 | NaN | 22717.0 | 3.94 |