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
“Coconut, abaca (Manila hemp or Musa textilis Nee), ramie and other vegetable textile fibres n.e.c., raw or processed but not spun; tow, noils and waste of these fibres (including yarn waste and garnetted stock)”(HScode:530500)
The graphs that have been shared show the International Trade Price and Weight of
“Coconut, abaca (Manila hemp or Musa textilis Nee), ramie and other vegetable textile fibres n.e.c., raw or processed but not spun; tow, noils and waste of these fibres (including yarn waste and garnetted stock)”(HScode:530500)
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:530500)
Here is a graph which shows export statistics of
530500 – Coconut, abaca (Manila hemp or Musa textilis Nee), ramie and other vegetable textile fibres n.e.c., raw or processed but not spun; tow, noils and waste of these fibres (including yarn waste and garnetted stock)(HScode:530500) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
530500 – Coconut, abaca (Manila hemp or Musa textilis Nee), ramie and other vegetable textile fibres n.e.c., raw or processed but not spun; tow, noils and waste of these fibres (including yarn waste and garnetted stock)(HScode:530500) 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, India ranked at the top in exports of “530500 – Coconut, abaca (Manila hemp or Musa textilis Nee), ramie and other vegetable textile fibres n.e.c., raw or processed but not spun; tow, noils and waste of these fibres (including yarn waste and garnetted stock)” total export value 248,118,393.0USD
India is followed by Sri Lanka: 143,950,750.0USD
Philippines: 43,054,827.0USD
Brazil: 31,791,542.0USD
Kenya: 26,013,691.0USD and
Ecuador: 21,843,385.0USD
India is followed by Sri Lanka: 143,950,750.0USD
Philippines: 43,054,827.0USD
Brazil: 31,791,542.0USD
Kenya: 26,013,691.0USD and
Ecuador: 21,843,385.0USD
Supplier country’s “export value per KG” of (HScode:530500)
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.
Singapore ranked first in Exports “530500 – Coconut, abaca (Manila hemp or Musa textilis Nee), ramie and other vegetable textile fibres n.e.c., raw or processed but not spun; tow, noils and waste of these fibres (including yarn waste and garnetted stock)” at the lowest price of 0.15USD/KG Singapore is followed by Ghana0.15USD/KG, Malaysia0.27USD/KG, India0.28USD/KG, Myanmar0.32USD/KG, and Ukraine0.38USD/KG
Import Trade Statistics of (HScode:530500)
The statistics show the ranking of
530500 – Coconut, abaca (Manila hemp or Musa textilis Nee), ramie and other vegetable textile fibres n.e.c., raw or processed but not spun; tow, noils and waste of these fibres (including yarn waste and garnetted stock)(HScode:530500) worldwide in 2017
530500 – Coconut, abaca (Manila hemp or Musa textilis Nee), ramie and other vegetable textile fibres n.e.c., raw or processed but not spun; tow, noils and waste of these fibres (including yarn waste and garnetted stock)(HScode:530500) worldwide in 2017
the top importing countries worldwide in 2017
China ranked first in imports of “530500 – Coconut, abaca (Manila hemp or Musa textilis Nee), ramie and other vegetable textile fibres n.e.c., raw or processed but not spun; tow, noils and waste of these fibres (including yarn waste and garnetted stock)” Total import value 240,725,405.0USD
China is followed by USA: 49,539,183.0USD
United Kingdom: 32,457,772.0USD
Spain: 31,677,532.0USD
Mexico: 24,990,213.0USD and
Japan: 18,131,162.0USD
China ranked first in imports of “530500 – Coconut, abaca (Manila hemp or Musa textilis Nee), ramie and other vegetable textile fibres n.e.c., raw or processed but not spun; tow, noils and waste of these fibres (including yarn waste and garnetted stock)” Total import value 240,725,405.0USD
China is followed by USA: 49,539,183.0USD
United Kingdom: 32,457,772.0USD
Spain: 31,677,532.0USD
Mexico: 24,990,213.0USD and
Japan: 18,131,162.0USD
Buyer country’s “import Value per KG” of (HScode:530500)
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.
Azerbaijan ranked first in imports “530500 – Coconut, abaca (Manila hemp or Musa textilis Nee), ramie and other vegetable textile fibres n.e.c., raw or processed but not spun; tow, noils and waste of these fibres (including yarn waste and garnetted stock)” at the highest price of 32.3/KG Azerbaijan is followed by Luxembourg, Finland, Philippines, Tunisia, and Ukraine
Table data of “530500 – Coconut, abaca (Manila hemp or Musa textilis Nee), ramie and other vegetable textile fibres n.e.c., raw or processed but not spun; tow, noils and waste of these fibres (including yarn waste and garnetted stock)”(HS:530500)[Export]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Luxembourg | LUX | 2017 | Export | 89,574.0 | 16,883.0 | NaN | 16883.0 | 5.31 |
| 1 | Tunisia | TUN | 2017 | Export | 80,118.0 | 41,357.0 | NaN | 41357.0 | 1.94 |
| 2 | Portugal | PRT | 2017 | Export | 74,811.0 | 21,459.0 | NaN | 21459.0 | 3.49 |
| 3 | Jordan | JOR | 2017 | Export | 7,243.0 | 10,297.0 | NaN | 10297.0 | 0.70 |
| 4 | Mozambique | MOZ | 2017 | Export | 690,611.0 | 917,161.0 | NaN | 893724.0 | 0.75 |
| 5 | Poland | POL | 2017 | Export | 68,282.0 | 21,669.0 | NaN | 21669.0 | 3.15 |
| 6 | Colombia | COL | 2017 | Export | 672,296.0 | 518,695.0 | NaN | 518695.0 | 1.30 |
| 7 | Madagascar | MDG | 2017 | Export | 6,308,479.0 | 5,826,334.0 | NaN | 5826334.0 | 1.08 |
| 8 | Georgia | GEO | 2017 | Export | 58,200.0 | 50,250.0 | NaN | 50250.0 | 1.16 |
| 9 | Honduras | HND | 2017 | Export | 51,766.0 | 128,858.0 | NaN | 128858.0 | 0.40 |
| 10 | Netherlands | NLD | 2017 | Export | 5,715,274.0 | 14,894,901.0 | NaN | 14894901.0 | 0.38 |
| 11 | Ghana | GHA | 2017 | Export | 49,616.0 | 327,464.0 | NaN | 327464.0 | 0.15 |
| 12 | Russian Federation | RUS | 2017 | Export | 49,042.0 | 27,460.0 | NaN | 27460.0 | 1.79 |
| 13 | Mexico | MEX | 2017 | Export | 483,030.0 | 1,076,762.0 | NaN | 1076762.0 | 0.45 |
| 14 | Australia | AUS | 2017 | Export | 47,848.0 | 95,944.0 | NaN | 95944.0 | 0.50 |
| 15 | Philippines | PHL | 2017 | Export | 43,054,827.0 | 70,847,061.0 | NaN | 0.0 | 0.61 |
| 16 | Spain | ESP | 2017 | Export | 4,320,067.0 | 3,015,539.0 | NaN | 3015539.0 | 1.43 |
| 17 | Azerbaijan | AZE | 2017 | Export | 38,668.0 | 38,596.0 | NaN | 38596.0 | 1.00 |
| 18 | Turkey | TUR | 2017 | Export | 37,170.0 | 46,517.0 | NaN | 46517.0 | 0.80 |
| 19 | Hungary | HUN | 2017 | Export | 33,761.0 | 12,149.0 | NaN | 12149.0 | 2.78 |
| 20 | Czechia | CZE | 2017 | Export | 32,991.0 | 19,068.0 | NaN | 19068.0 | 1.73 |
| 21 | Brazil | BRA | 2017 | Export | 31,791,542.0 | 23,293,797.0 | NaN | 23293797.0 | 1.36 |
| 22 | United Rep. of Tanzania | TZA | 2017 | Export | 3,901,565.0 | 2,402,251.0 | NaN | 2402251.0 | 1.62 |
| 23 | Malaysia | MYS | 2017 | Export | 3,200,326.0 | 11,756,624.0 | NaN | 11756624.0 | 0.27 |
| 24 | China | CHN | 2017 | Export | 3,162,626.0 | 464,322.0 | NaN | 464322.0 | 6.81 |
| 25 | South Africa | ZAF | 2017 | Export | 29,475.0 | 73,069.0 | NaN | 73069.0 | 0.40 |
| 26 | Canada | CAN | 2017 | Export | 285,904.0 | 104,102.0 | NaN | 104102.0 | 2.75 |
| 27 | Singapore | SGP | 2017 | Export | 270,959.0 | 1,864,068.0 | NaN | 1864068.0 | 0.15 |
| 28 | Kenya | KEN | 2017 | Export | 26,013,691.0 | 14,678,478.0 | NaN | 14678478.0 | 1.77 |
| 29 | India | IND | 2017 | Export | 248,118,393.0 | 875,244,277.0 | NaN | 875244277.0 | 0.28 |
| 30 | China, Hong Kong SAR | HKG | 2017 | Export | 24,193.0 | 53,669.0 | NaN | 53669.0 | 0.45 |
| 31 | Myanmar | MMR | 2017 | Export | 212,512.0 | 661,180.0 | NaN | 661180.0 | 0.32 |
| 32 | Ecuador | ECU | 2017 | Export | 21,843,385.0 | 9,897,191.0 | NaN | 8708776.0 | 2.21 |
| 33 | USA | USA | 2017 | Export | 2,288,048.0 | 1,599,001.0 | NaN | 1599001.0 | 1.43 |
| 34 | Greece | GRC | 2017 | Export | 19,346.0 | 10,798.0 | NaN | 10798.0 | 1.79 |
| 35 | France | FRA | 2017 | Export | 189,925.0 | 52,119.0 | NaN | 52119.0 | 3.64 |
| 36 | Slovenia | SVN | 2017 | Export | 167,506.0 | 140,078.0 | NaN | 140078.0 | 1.20 |
| 37 | Sri Lanka | LKA | 2017 | Export | 143,950,750.0 | 373,332,261.0 | NaN | 373332261.0 | 0.39 |
| 38 | United Kingdom | GBR | 2017 | Export | 143,301.0 | 45,063.0 | NaN | 45063.0 | 3.18 |
| 39 | Lithuania | LTU | 2017 | Export | 131,015.0 | 149,219.0 | NaN | 149219.0 | 0.88 |
| 40 | Switzerland | CHE | 2017 | Export | 111,999.0 | 236,129.0 | NaN | 236129.0 | 0.47 |
| 41 | Germany | DEU | 2017 | Export | 1,723,143.0 | 2,180,598.0 | NaN | 2180598.0 | 0.79 |
| 42 | Italy | ITA | 2017 | Export | 1,680,815.0 | 1,822,902.0 | NaN | 1822902.0 | 0.92 |
| 43 | Belgium | BEL | 2017 | Export | 1,402,638.0 | 1,737,276.0 | NaN | 1737276.0 | 0.81 |
Table data of “530500 – Coconut, abaca (Manila hemp or Musa textilis Nee), ramie and other vegetable textile fibres n.e.c., raw or processed but not spun; tow, noils and waste of these fibres (including yarn waste and garnetted stock)”(HS:530500)[Import]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Switzerland | CHE | 2017 | Import | 952,100.0 | 1,633,029.0 | NaN | 1633029.0 | 0.58 |
| 1 | United Rep. of Tanzania | TZA | 2017 | Import | 95,947.0 | 228,669.0 | NaN | 228669.0 | 0.42 |
| 2 | Greece | GRC | 2017 | Import | 937,253.0 | 1,920,354.0 | NaN | 1920354.0 | 0.49 |
| 3 | Uruguay | URY | 2017 | Import | 93,746.0 | 157,608.0 | NaN | 157608.0 | 0.59 |
| 4 | Sudan | SDN | 2017 | Import | 9,264.0 | 11,472.0 | NaN | 11472.0 | 0.81 |
| 5 | Finland | FIN | 2017 | Import | 88,563.0 | 33,922.0 | NaN | 33922.0 | 2.61 |
| 6 | Belarus | BLR | 2017 | Import | 852,900.0 | 2,002,452.0 | NaN | 2002452.0 | 0.43 |
| 7 | Portugal | PRT | 2017 | Import | 8,255,189.0 | 6,044,838.0 | NaN | 6044838.0 | 1.37 |
| 8 | China, Hong Kong SAR | HKG | 2017 | Import | 79,879.0 | 132,062.0 | NaN | 132062.0 | 0.60 |
| 9 | Sri Lanka | LKA | 2017 | Import | 78,068.0 | 79,562.0 | NaN | 79562.0 | 0.98 |
| 10 | Mauritius | MUS | 2017 | Import | 75,338.0 | 146,314.0 | NaN | 146314.0 | 0.51 |
| 11 | Lithuania | LTU | 2017 | Import | 740,535.0 | 1,897,421.0 | NaN | 1897421.0 | 0.39 |
| 12 | Luxembourg | LUX | 2017 | Import | 74,465.0 | 22,065.0 | NaN | 22065.0 | 3.37 |
| 13 | Tunisia | TUN | 2017 | Import | 732,765.0 | 302,240.0 | NaN | 302240.0 | 2.42 |
| 14 | Serbia | SRB | 2017 | Import | 72,958.0 | 83,947.0 | NaN | 83947.0 | 0.87 |
| 15 | Germany | DEU | 2017 | Import | 7,897,982.0 | 18,721,003.0 | NaN | 18721003.0 | 0.42 |
| 16 | Canada | CAN | 2017 | Import | 7,533,321.0 | 11,883,144.0 | NaN | 11883144.0 | 0.63 |
| 17 | Latvia | LVA | 2017 | Import | 675,133.0 | 1,061,074.0 | NaN | 1061074.0 | 0.64 |
| 18 | Austria | AUT | 2017 | Import | 663,292.0 | 1,045,297.0 | NaN | 1045297.0 | 0.63 |
| 19 | Ireland | IRL | 2017 | Import | 66,343.0 | 61,777.0 | NaN | 61777.0 | 1.07 |
| 20 | Argentina | ARG | 2017 | Import | 66,207.0 | 162,934.0 | NaN | 162934.0 | 0.41 |
| 21 | Rep. of Korea | KOR | 2017 | Import | 655,700.0 | 1,516,159.0 | NaN | 1516159.0 | 0.43 |
| 22 | Singapore | SGP | 2017 | Import | 623,284.0 | 2,016,504.0 | NaN | 2016504.0 | 0.31 |
| 23 | Honduras | HND | 2017 | Import | 618,913.0 | 1,080,675.0 | NaN | 1080675.0 | 0.57 |
| 24 | Uganda | UGA | 2017 | Import | 60,234.0 | 84,000.0 | NaN | 84000.0 | 0.72 |
| 25 | Netherlands | NLD | 2017 | Import | 6,323,399.0 | 12,030,234.0 | NaN | 12030234.0 | 0.53 |
| 26 | India | IND | 2017 | Import | 6,317,492.0 | 3,420,923.0 | NaN | 3420923.0 | 1.85 |
| 27 | Zambia | ZMB | 2017 | Import | 56,827.0 | 69,279.0 | NaN | 69279.0 | 0.82 |
| 28 | Czechia | CZE | 2017 | Import | 554,170.0 | 708,821.0 | NaN | 708821.0 | 0.78 |
| 29 | Dominican Rep. | DOM | 2017 | Import | 54,198.0 | 67,121.0 | NaN | 67121.0 | 0.81 |
| 30 | Senegal | SEN | 2017 | Import | 516,195.0 | 1,148,700.0 | NaN | 1148700.0 | 0.45 |
| 31 | Mauritania | MRT | 2017 | Import | 50,560.0 | 156,685.0 | NaN | 156685.0 | 0.32 |
| 32 | Russian Federation | RUS | 2017 | Import | 5,068,921.0 | 7,818,998.0 | NaN | 7818998.0 | 0.65 |
| 33 | Norway | NOR | 2017 | Import | 492,656.0 | 434,092.0 | NaN | 434092.0 | 1.13 |
| 34 | USA | USA | 2017 | Import | 49,539,183.0 | 88,427,953.0 | NaN | 88427953.0 | 0.56 |
| 35 | Peru | PER | 2017 | Import | 483,366.0 | 454,310.0 | NaN | 454310.0 | 1.06 |
| 36 | El Salvador | SLV | 2017 | Import | 459,360.0 | 396,883.0 | NaN | 396883.0 | 1.16 |
| 37 | Brunei Darussalam | BRN | 2017 | Import | 43,771.0 | 63,764.0 | NaN | 63764.0 | 0.69 |
| 38 | Namibia | NAM | 2017 | Import | 41,636.0 | 108,006.0 | NaN | 108006.0 | 0.39 |
| 39 | Ukraine | UKR | 2017 | Import | 405,082.0 | 189,174.0 | NaN | 189174.0 | 2.14 |
| 40 | Belgium | BEL | 2017 | Import | 4,205,917.0 | 9,390,691.0 | NaN | 9390691.0 | 0.45 |
| 41 | Egypt | EGY | 2017 | Import | 4,024,905.0 | 4,984,552.0 | NaN | 4984552.0 | 0.81 |
| 42 | Kuwait | KWT | 2017 | Import | 397,962.0 | 287,957.0 | NaN | 287957.0 | 1.38 |
| 43 | Armenia | ARM | 2017 | Import | 393,566.0 | 643,395.0 | NaN | 643395.0 | 0.61 |
| 44 | Oman | OMN | 2017 | Import | 38,920.0 | 110,490.0 | NaN | 110490.0 | 0.35 |
| 45 | Congo | COG | 2017 | Import | 33,794.0 | 22,500.0 | NaN | 22500.0 | 1.50 |
| 46 | United Kingdom | GBR | 2017 | Import | 32,457,772.0 | 27,855,083.0 | NaN | 27855083.0 | 1.17 |
| 47 | Spain | ESP | 2017 | Import | 31,677,532.0 | 30,292,322.0 | NaN | 30292322.0 | 1.05 |
| 48 | Algeria | DZA | 2017 | Import | 3,832,258.0 | 2,546,668.0 | NaN | 2546668.0 | 1.50 |
| 49 | Australia | AUS | 2017 | Import | 3,760,467.0 | 7,811,084.0 | NaN | 0.0 | 0.48 |
| 50 | France | FRA | 2017 | Import | 3,472,712.0 | 4,749,235.0 | NaN | 4749235.0 | 0.73 |
| 51 | South Africa | ZAF | 2017 | Import | 3,105,472.0 | 6,735,684.0 | NaN | 6735684.0 | 0.46 |
| 52 | Cyprus | CYP | 2017 | Import | 292,658.0 | 581,632.0 | NaN | 581632.0 | 0.50 |
| 53 | Sweden | SWE | 2017 | Import | 290,044.0 | 142,566.0 | NaN | 142566.0 | 2.03 |
| 54 | Slovakia | SVK | 2017 | Import | 28,822.0 | 26,607.0 | NaN | 26607.0 | 1.08 |
| 55 | Myanmar | MMR | 2017 | Import | 28,380.0 | 79,594.0 | NaN | 79594.0 | 0.36 |
| 56 | Bulgaria | BGR | 2017 | Import | 277,661.0 | 499,112.0 | NaN | 499112.0 | 0.56 |
| 57 | Iceland | ISL | 2017 | Import | 27,633.0 | 30,403.0 | NaN | 30403.0 | 0.91 |
| 58 | Hungary | HUN | 2017 | Import | 259,468.0 | 232,511.0 | NaN | 232511.0 | 1.12 |
| 59 | China | CHN | 2017 | Import | 240,725,405.0 | 696,816,250.0 | NaN | 696816250.0 | 0.35 |
| 60 | Mexico | MEX | 2017 | Import | 24,990,213.0 | 31,722,730.0 | NaN | 31722730.0 | 0.79 |
| 61 | Estonia | EST | 2017 | Import | 231,012.0 | 648,881.0 | NaN | 648881.0 | 0.36 |
| 62 | Nepal | NPL | 2017 | Import | 211,594.0 | 551,356.0 | NaN | 551356.0 | 0.38 |
| 63 | Kazakhstan | KAZ | 2017 | Import | 208,907.0 | 209,588.0 | NaN | 209588.0 | 1.00 |
| 64 | Azerbaijan | AZE | 2017 | Import | 2,172,814.0 | 67,267.0 | NaN | 67267.0 | 32.30 |
| 65 | Indonesia | IDN | 2017 | Import | 2,122,671.0 | 1,678,740.0 | NaN | 1678740.0 | 1.26 |
| 66 | TFYR of Macedonia | MKD | 2017 | Import | 19,113.0 | 30,490.0 | NaN | 30490.0 | 0.63 |
| 67 | Turkey | TUR | 2017 | Import | 189,415.0 | 171,255.0 | NaN | 171255.0 | 1.11 |
| 68 | Japan | JPN | 2017 | Import | 18,131,162.0 | 8,855,562.0 | NaN | 8855562.0 | 2.05 |
| 69 | Georgia | GEO | 2017 | Import | 173,319.0 | 198,326.0 | NaN | 198326.0 | 0.87 |
| 70 | Philippines | PHL | 2017 | Import | 16,957,736.0 | 6,690,902.0 | NaN | 4895952.0 | 2.53 |
| 71 | Jamaica | JAM | 2017 | Import | 16,438.0 | 29,860.0 | NaN | 29860.0 | 0.55 |
| 72 | Kenya | KEN | 2017 | Import | 154,127.0 | 244,721.0 | NaN | 244721.0 | 0.63 |
| 73 | Rep. of Moldova | MDA | 2017 | Import | 14,658.0 | 25,492.0 | NaN | 25492.0 | 0.58 |
| 74 | Mozambique | MOZ | 2017 | Import | 124,850.0 | 150,183.0 | NaN | 128828.0 | 0.83 |
| 75 | Cabo Verde | CPV | 2017 | Import | 12,584.0 | 11,135.0 | NaN | 11135.0 | 1.13 |
| 76 | Colombia | COL | 2017 | Import | 108,848.0 | 178,419.0 | NaN | 178419.0 | 0.61 |
| 77 | Romania | ROU | 2017 | Import | 108,716.0 | 149,391.0 | NaN | 149391.0 | 0.73 |
| 78 | Cameroon | CMR | 2017 | Import | 1,964,317.0 | 1,321,497.0 | NaN | 1321497.0 | 1.49 |
| 79 | Slovenia | SVN | 2017 | Import | 1,924,090.0 | 5,466,406.0 | NaN | 5466406.0 | 0.35 |
| 80 | Israel | ISR | 2017 | Import | 1,628,000.0 | 2,016,159.0 | NaN | 2016159.0 | 0.81 |
| 81 | Malaysia | MYS | 2017 | Import | 1,549,606.0 | 7,960,374.0 | NaN | 7960374.0 | 0.19 |
| 82 | Poland | POL | 2017 | Import | 1,466,680.0 | 3,019,833.0 | NaN | 3019833.0 | 0.49 |
| 83 | Denmark | DNK | 2017 | Import | 1,448,221.0 | 1,793,516.0 | NaN | 1793516.0 | 0.81 |
| 84 | New Zealand | NZL | 2017 | Import | 1,426,774.0 | 2,319,193.0 | NaN | 2319193.0 | 0.62 |
| 85 | Ghana | GHA | 2017 | Import | 1,396,083.0 | 1,247,782.0 | NaN | 1247782.0 | 1.12 |
| 86 | Chile | CHL | 2017 | Import | 1,239,756.0 | 2,361,919.0 | NaN | 2361919.0 | 0.52 |
| 87 | Nigeria | NGA | 2017 | Import | 1,169,909.0 | 1,448,848.0 | NaN | 1448848.0 | 0.81 |