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
“Pharmaceutical goods; opacifying preparations for x-ray examinations, diagnostic reagents designed to be administered to the patient”(HScode:300630)
The graphs that have been shared show the International Trade Price and Weight of
“Pharmaceutical goods; opacifying preparations for x-ray examinations, diagnostic reagents designed to be administered to the patient”(HScode:300630)
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:300630)
Here is a graph which shows export statistics of
300630 – Pharmaceutical goods; opacifying preparations for x-ray examinations, diagnostic reagents designed to be administered to the patient(HScode:300630) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
300630 – Pharmaceutical goods; opacifying preparations for x-ray examinations, diagnostic reagents designed to be administered to the patient(HScode:300630) 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, Germany ranked at the top in exports of “300630 – Pharmaceutical goods; opacifying preparations for x-ray examinations, diagnostic reagents designed to be administered to the patient” total export value 811,981,482.0USD
Germany is followed by China: 546,419,376.0USD
Ireland: 464,001,498.0USD
France: 285,986,437.0USD
Italy: 272,299,144.0USD and
Norway: 126,418,874.0USD
Germany is followed by China: 546,419,376.0USD
Ireland: 464,001,498.0USD
France: 285,986,437.0USD
Italy: 272,299,144.0USD and
Norway: 126,418,874.0USD
Supplier country’s “export value per KG” of (HScode:300630)
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.
Mexico ranked first in Exports “300630 – Pharmaceutical goods; opacifying preparations for x-ray examinations, diagnostic reagents designed to be administered to the patient” at the lowest price of 0.84USD/KG Mexico is followed by United Kingdom33.76USD/KG, Philippines43.47USD/KG, USA52.39USD/KG, Russian Federation53.49USD/KG, and Russian Federation59.73USD/KG
Import Trade Statistics of (HScode:300630)
The statistics show the ranking of
300630 – Pharmaceutical goods; opacifying preparations for x-ray examinations, diagnostic reagents designed to be administered to the patient(HScode:300630) worldwide in 2017
300630 – Pharmaceutical goods; opacifying preparations for x-ray examinations, diagnostic reagents designed to be administered to the patient(HScode:300630) worldwide in 2017
the top importing countries worldwide in 2017
USA ranked first in imports of “300630 – Pharmaceutical goods; opacifying preparations for x-ray examinations, diagnostic reagents designed to be administered to the patient” Total import value 838,438,340.0USD
USA is followed by China: 210,020,054.0USD
France: 204,856,287.0USD
Japan: 165,066,737.0USD
Rep. of Korea: 120,164,060.0USD and
Germany: 101,455,134.0USD
USA ranked first in imports of “300630 – Pharmaceutical goods; opacifying preparations for x-ray examinations, diagnostic reagents designed to be administered to the patient” Total import value 838,438,340.0USD
USA is followed by China: 210,020,054.0USD
France: 204,856,287.0USD
Japan: 165,066,737.0USD
Rep. of Korea: 120,164,060.0USD and
Germany: 101,455,134.0USD
Buyer country’s “import Value per KG” of (HScode:300630)
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.
Lithuania ranked first in imports “300630 – Pharmaceutical goods; opacifying preparations for x-ray examinations, diagnostic reagents designed to be administered to the patient” at the highest price of 244.92/KG Lithuania is followed by Slovakia, Switzerland, Czechia, Kazakhstan, and Russian Federation
Table data of “300630 – Pharmaceutical goods; opacifying preparations for x-ray examinations, diagnostic reagents designed to be administered to the patient”(HS:300630)[Export]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Denmark | DNK | 2017 | Export | 9,796,264.0 | 90,095.0 | NaN | 90095.0 | 108.73 |
| 1 | Germany | DEU | 2017 | Export | 811,981,482.0 | 9,309,094.0 | NaN | 9309094.0 | 87.22 |
| 2 | USA | USA | 2017 | Export | 79,817,969.0 | 1,523,644.0 | NaN | 1523644.0 | 52.39 |
| 3 | Mexico | MEX | 2017 | Export | 788,006.0 | 933,353.0 | NaN | 933353.0 | 0.84 |
| 4 | China, Hong Kong SAR | HKG | 2017 | Export | 73,340,618.0 | 674,507.0 | NaN | 674507.0 | 108.73 |
| 5 | Belgium | BEL | 2017 | Export | 70,037,623.0 | 1,003,910.0 | NaN | 1003910.0 | 69.76 |
| 6 | Poland | POL | 2017 | Export | 7,569,044.0 | 27,968.0 | NaN | 27968.0 | 270.63 |
| 7 | Lithuania | LTU | 2017 | Export | 7,254,698.0 | 29,022.0 | NaN | 29022.0 | 249.97 |
| 8 | Netherlands | NLD | 2017 | Export | 57,560,173.0 | 50,571.0 | NaN | 50571.0 | 1138.21 |
| 9 | China | CHN | 2017 | Export | 546,419,376.0 | 6,007,890.0 | NaN | 6007890.0 | 90.95 |
| 10 | Philippines | PHL | 2017 | Export | 520,746.0 | 11,980.0 | NaN | 11891.0 | 43.47 |
| 11 | Greece | GRC | 2017 | Export | 5,302,883.0 | 13,210.0 | NaN | 13210.0 | 401.43 |
| 12 | Japan | JPN | 2017 | Export | 5,291,847.0 | 63,345.0 | NaN | 63345.0 | 83.54 |
| 13 | Ireland | IRL | 2017 | Export | 464,001,498.0 | 5,141,444.0 | NaN | 5141444.0 | 90.25 |
| 14 | Austria | AUT | 2017 | Export | 45,736,293.0 | 720,069.0 | NaN | 720069.0 | 63.52 |
| 15 | Ukraine | UKR | 2017 | Export | 4,546,415.0 | 27,270.0 | NaN | 27270.0 | 166.72 |
| 16 | Singapore | SGP | 2017 | Export | 4,212,864.0 | 38,745.0 | NaN | 38745.0 | 108.73 |
| 17 | Switzerland | CHE | 2017 | Export | 38,143,783.0 | 57,210.0 | NaN | 57210.0 | 666.73 |
| 18 | Spain | ESP | 2017 | Export | 31,488,701.0 | 500,050.0 | NaN | 500050.0 | 62.97 |
| 19 | France | FRA | 2017 | Export | 285,986,437.0 | 2,447,808.0 | NaN | 2447808.0 | 116.83 |
| 20 | Italy | ITA | 2017 | Export | 272,299,144.0 | 4,558,929.0 | NaN | 4558929.0 | 59.73 |
| 21 | Russian Federation | RUS | 2017 | Export | 2,022,819.0 | 37,819.0 | NaN | 37819.0 | 53.49 |
| 22 | United Kingdom | GBR | 2017 | Export | 16,745,656.0 | 496,024.0 | NaN | 496024.0 | 33.76 |
| 23 | Sweden | SWE | 2017 | Export | 14,456,417.0 | 113,295.0 | NaN | 113295.0 | 127.60 |
| 24 | Norway | NOR | 2017 | Export | 126,418,874.0 | 873,553.0 | NaN | 873553.0 | 144.72 |
| 25 | India | IND | 2017 | Export | 11,336,025.0 | 170,817.0 | NaN | 170817.0 | 66.36 |
| 26 | Rep. of Korea | KOR | 2017 | Export | 11,238,423.0 | 184,223.0 | NaN | 184223.0 | 61.00 |
| 27 | Brazil | BRA | 2017 | Export | 10,349,402.0 | 153,363.0 | NaN | 153363.0 | 67.48 |
| 28 | Australia | AUS | 2017 | Export | 1,155,781.0 | 10,629.0 | NaN | 10629.0 | 108.74 |
Table data of “300630 – Pharmaceutical goods; opacifying preparations for x-ray examinations, diagnostic reagents designed to be administered to the patient”(HS:300630)[Import]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Finland | FIN | 2017 | Import | 9,983,892.0 | 75,383.0 | NaN | 75383.0 | 132.44 |
| 1 | Oman | OMN | 2017 | Import | 837,396.0 | 12,938.0 | NaN | 12938.0 | 64.72 |
| 2 | Honduras | HND | 2017 | Import | 818,728.0 | 19,333.0 | NaN | 19333.0 | 42.35 |
| 3 | Russian Federation | RUS | 2017 | Import | 80,657,249.0 | 517,718.0 | NaN | 517718.0 | 155.79 |
| 4 | Norway | NOR | 2017 | Import | 8,962,577.0 | 320,017.0 | NaN | 320017.0 | 28.01 |
| 5 | Philippines | PHL | 2017 | Import | 8,797,710.0 | 206,854.0 | NaN | 197504.0 | 42.53 |
| 6 | Ecuador | ECU | 2017 | Import | 8,632,162.0 | 126,157.0 | NaN | 974329.0 | 68.42 |
| 7 | Peru | PER | 2017 | Import | 8,491,307.0 | 101,469.0 | NaN | 101469.0 | 83.68 |
| 8 | Ghana | GHA | 2017 | Import | 787,316.0 | 10,042.0 | NaN | 10042.0 | 78.40 |
| 9 | Belgium | BEL | 2017 | Import | 75,628,815.0 | 1,172,118.0 | NaN | 1172118.0 | 64.52 |
| 10 | Italy | ITA | 2017 | Import | 71,424,440.0 | 652,160.0 | NaN | 652160.0 | 109.52 |
| 11 | Tunisia | TUN | 2017 | Import | 7,435,612.0 | 68,377.0 | NaN | 68377.0 | 108.74 |
| 12 | Hungary | HUN | 2017 | Import | 7,069,870.0 | 58,715.0 | NaN | 58715.0 | 120.41 |
| 13 | TFYR of Macedonia | MKD | 2017 | Import | 653,878.0 | 11,758.0 | NaN | 11758.0 | 55.61 |
| 14 | Nepal | NPL | 2017 | Import | 589,142.0 | 10,160.0 | NaN | 10160.0 | 57.99 |
| 15 | Spain | ESP | 2017 | Import | 56,915,328.0 | 778,977.0 | NaN | 778977.0 | 73.06 |
| 16 | United Kingdom | GBR | 2017 | Import | 56,034,579.0 | 894,840.0 | NaN | 894840.0 | 62.62 |
| 17 | Switzerland | CHE | 2017 | Import | 54,106,147.0 | 271,726.0 | NaN | 271726.0 | 199.12 |
| 18 | Belarus | BLR | 2017 | Import | 5,438,000.0 | 35,995.0 | NaN | 35995.0 | 151.08 |
| 19 | Bulgaria | BGR | 2017 | Import | 5,197,920.0 | 74,835.0 | NaN | 74835.0 | 69.46 |
| 20 | Cyprus | CYP | 2017 | Import | 481,018.0 | 25,797.0 | NaN | 25797.0 | 18.65 |
| 21 | Brunei Darussalam | BRN | 2017 | Import | 470,110.0 | 13,623.0 | NaN | 13623.0 | 34.51 |
| 22 | United Rep. of Tanzania | TZA | 2017 | Import | 46,447.0 | 19,362.0 | NaN | 19362.0 | 2.40 |
| 23 | Lebanon | LBN | 2017 | Import | 4,379,888.0 | 38,023.0 | NaN | 38023.0 | 115.19 |
| 24 | Kazakhstan | KAZ | 2017 | Import | 4,328,218.0 | 25,013.0 | NaN | 25013.0 | 173.04 |
| 25 | Ukraine | UKR | 2017 | Import | 4,180,245.0 | 58,336.0 | NaN | 58336.0 | 71.66 |
| 26 | Brazil | BRA | 2017 | Import | 39,323,199.0 | 919,738.0 | NaN | 919738.0 | 42.75 |
| 27 | Aruba | ABW | 2017 | Import | 380,980.0 | 22,818.0 | NaN | 22818.0 | 16.70 |
| 28 | Turkey | TUR | 2017 | Import | 37,965,615.0 | 753,473.0 | NaN | 753473.0 | 50.39 |
| 29 | Poland | POL | 2017 | Import | 37,489,526.0 | 332,562.0 | NaN | 332562.0 | 112.73 |
| 30 | India | IND | 2017 | Import | 35,558,558.0 | 612,587.0 | NaN | 612587.0 | 58.05 |
| 31 | Cameroon | CMR | 2017 | Import | 347,729.0 | 13,580.0 | NaN | 13580.0 | 25.61 |
| 32 | Kuwait | KWT | 2017 | Import | 3,703,613.0 | 25,177.0 | NaN | 25177.0 | 147.10 |
| 33 | Serbia | SRB | 2017 | Import | 3,206,347.0 | 37,098.0 | NaN | 37098.0 | 86.43 |
| 34 | Ireland | IRL | 2017 | Import | 26,595,453.0 | 428,814.0 | NaN | 428814.0 | 62.02 |
| 35 | Netherlands | NLD | 2017 | Import | 26,522,152.0 | 288,767.0 | NaN | 288767.0 | 91.85 |
| 36 | Greece | GRC | 2017 | Import | 25,150,590.0 | 319,776.0 | NaN | 319776.0 | 78.65 |
| 37 | Austria | AUT | 2017 | Import | 24,371,811.0 | 279,187.0 | NaN | 279187.0 | 87.30 |
| 38 | Czechia | CZE | 2017 | Import | 23,752,042.0 | 119,609.0 | NaN | 119609.0 | 198.58 |
| 39 | Mexico | MEX | 2017 | Import | 22,758,369.0 | 644,943.0 | NaN | 644943.0 | 35.29 |
| 40 | China | CHN | 2017 | Import | 210,020,054.0 | 1,413,593.0 | NaN | 1413593.0 | 148.57 |
| 41 | France | FRA | 2017 | Import | 204,856,287.0 | 2,758,872.0 | NaN | 2758872.0 | 74.25 |
| 42 | Bosnia Herzegovina | BIH | 2017 | Import | 2,857,119.0 | 19,934.0 | NaN | 19934.0 | 143.33 |
| 43 | Uruguay | URY | 2017 | Import | 2,378,937.0 | 41,958.0 | NaN | 41958.0 | 56.70 |
| 44 | Sri Lanka | LKA | 2017 | Import | 2,096,529.0 | 21,260.0 | NaN | 21260.0 | 98.61 |
| 45 | Jordan | JOR | 2017 | Import | 2,046,565.0 | 34,891.0 | NaN | 34891.0 | 58.66 |
| 46 | Myanmar | MMR | 2017 | Import | 2,045,495.0 | 787,123.0 | NaN | 0.0 | 2.60 |
| 47 | Georgia | GEO | 2017 | Import | 2,041,573.0 | 16,347.0 | NaN | 16347.0 | 124.89 |
| 48 | Colombia | COL | 2017 | Import | 18,823,813.0 | 320,992.0 | NaN | 320992.0 | 58.64 |
| 49 | Japan | JPN | 2017 | Import | 165,066,737.0 | 1,166,086.0 | NaN | 1166086.0 | 141.56 |
| 50 | Argentina | ARG | 2017 | Import | 15,948,906.0 | 294,397.0 | NaN | 294397.0 | 54.17 |
| 51 | Sweden | SWE | 2017 | Import | 15,152,171.0 | 274,855.0 | NaN | 274855.0 | 55.13 |
| 52 | Chile | CHL | 2017 | Import | 14,666,037.0 | 186,234.0 | NaN | 186234.0 | 78.75 |
| 53 | South Africa | ZAF | 2017 | Import | 14,628,229.0 | 224,001.0 | NaN | 224001.0 | 65.30 |
| 54 | Romania | ROU | 2017 | Import | 13,138,975.0 | 132,843.0 | NaN | 132843.0 | 98.91 |
| 55 | Rep. of Korea | KOR | 2017 | Import | 120,164,060.0 | 889,601.0 | NaN | 889601.0 | 135.08 |
| 56 | Slovakia | SVK | 2017 | Import | 12,646,795.0 | 63,506.0 | NaN | 63506.0 | 199.14 |
| 57 | Portugal | PRT | 2017 | Import | 11,660,316.0 | 221,888.0 | NaN | 221888.0 | 52.55 |
| 58 | Germany | DEU | 2017 | Import | 101,455,134.0 | 1,155,289.0 | NaN | 1155289.0 | 87.82 |
| 59 | Lithuania | LTU | 2017 | Import | 10,829,844.0 | 44,217.0 | NaN | 44217.0 | 244.92 |
| 60 | Algeria | DZA | 2017 | Import | 10,341,651.0 | 119,275.0 | NaN | 119275.0 | 86.70 |
| 61 | Nicaragua | NIC | 2017 | Import | 1,768,765.0 | 19,629.0 | NaN | 19629.0 | 90.11 |
| 62 | Mali | MLI | 2017 | Import | 1,385,518.0 | 41,471.0 | NaN | 41471.0 | 33.41 |
| 63 | Luxembourg | LUX | 2017 | Import | 1,366,049.0 | 11,961.0 | NaN | 11961.0 | 114.21 |
| 64 | El Salvador | SLV | 2017 | Import | 1,160,162.0 | 23,913.0 | NaN | 23913.0 | 48.52 |
| 65 | Kenya | KEN | 2017 | Import | 1,155,036.0 | 18,950.0 | NaN | 18950.0 | 60.95 |
| 66 | Malaysia | MYS | 2017 | Import | 1,143,054.0 | 39,063.0 | NaN | 39063.0 | 29.26 |
| 67 | Paraguay | PRY | 2017 | Import | 1,069,289.0 | 23,789.0 | NaN | 23789.0 | 44.95 |
| 68 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 1,029,355.0 | 29,976.0 | NaN | 29950.0 | 34.34 |