«Preparations of meat, of fish or of crustaceans, molluscs or other aquatic invertebrates / Crustaceans, molluscs and other aquatic invertebrates, prepared or preserved»
HS code: 1605
To | |
Direction | |
From | |
Period | |
Selection products |
Period | Total |
---|---|
2017 | <hidden> |
2018 | <hidden> |
Total: | <hidden> |
Period | Weight, tons. |
---|---|
2017 | <hidden> |
2018 | <hidden> |
Total: | <hidden> |
Group product | 2017 | 2018 | Ch. | ∑ (2017-2018) | Ratio |
---|---|---|---|---|---|
04 160510: Crab | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160521: Shrimps and prawns, Not in airtight containers | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160529: Shrimps and prawns, Other | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160530: Lobster | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160540: Other crustaceans | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160551: Molluscs, Oysters | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160552: Molluscs, Scallops, including queen scallops | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160553: Molluscs, Mussels | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160554: Molluscs, Cuttlefish and squid | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160555: Molluscs, Octopus | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160556: Molluscs, Clams, cockles and arkshells | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160557: Molluscs, Abalone | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160558: Molluscs, Snails, other than sea snails | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160559: Molluscs, Other | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160561: Other aquatic invertebrates, Sea cucumbers | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160562: Other aquatic invertebrates, Sea urchins | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160563: Other aquatic invertebrates, Jellyfish | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
04 160569: Other aquatic invertebrates, Other | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
Total: | <hidden> | <hidden> | <hidden> |
№ | Country | ∑ (2017-2018) | Ratio |
---|---|---|---|
1 | Belarus | <hidden> | <hidden>% |
2 | Chile | <hidden> | <hidden>% |
3 | China | <hidden> | <hidden>% |
4 | Thailand | <hidden> | <hidden>% |
5 | India | <hidden> | <hidden>% |
6 | Indonesia | <hidden> | <hidden>% |
7 | Greenland | <hidden> | <hidden>% |
8 | Denmark | <hidden> | <hidden>% |
9 | Peru | <hidden> | <hidden>% |
10 | Ecuador | <hidden> | <hidden>% |
11 | Bangladesh | <hidden> | <hidden>% |
12 | France | <hidden> | <hidden>% |
13 | Armenia | <hidden> | <hidden>% |
The total for all countries: | <hidden> | 100% |
№ | Region | ∑ (2017-2018) | Ratio |
---|---|---|---|
1 | Moskovskaya oblast | <hidden> | <hidden>% |
2 | Sankt-Peterburg | <hidden> | <hidden>% |
3 | Moskva | <hidden> | <hidden>% |
4 | Kaliningradskaya oblast | <hidden> | <hidden>% |
5 | Volgogradskaya oblast | <hidden> | <hidden>% |
6 | Rostovskaya oblast | <hidden> | <hidden>% |
7 | Sverdlovskaya oblast | <hidden> | <hidden>% |
8 | Krym | <hidden> | <hidden>% |
9 | Nijegorodskaya oblast | <hidden> | <hidden>% |
By all regions: | <hidden> | 100% |