Swansea

Port in United Kingdom

Exports (2019): £924k, Rnk 89/106

Top Destination (2019): £924k, Mexico

Top Export (2019): £924k, Pig iron, non-alloy, <0.5% phosphorus

Imports (2019): £23.8M, Rnk 68/106

Top Origin (2019): £9.92M, Russia

Top Import (2019): £9.92M, Coke, semi-coke of coal, lignite, peat...

Overview: This page contains the latest international trade data for Swansea, including export and import data.

Exports: In 2019, United Kingdom's Swansea exported £924k, making it the 89th largest exporter out of the 106 exporters in United Kingdom. In 2019 the top exports of Swansea were Pig iron, non-alloy, <0.5% phosphorus (£924k).

Imports: In 2019, United Kingdom's Swansea imported £23.8M, making it the 68th largest importer out of the 106 importers in United Kingdom. In 2019 top imports of Swansea were Coke, semi-coke of coal, lignite, peat... (£9.92M), Chem wood pulp, soda/sulphate, non-conifer, bleached (£7.68M), Nitrogen-phosphorus-potassium fertilizers, pack >10kg (£5.67M), and Copper/copper alloy waste or scrap (£503k).

Yearly Exports

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Top Destination (2019): Mexico, £924k

Top Product (2019): Pig iron, non-alloy, <0.5% phosphorus, £924k

In 2019 the top export destinations of Swansea were Mexico (£924k).

In 2019 the top exports of Swansea were Pig iron, non-alloy, <0.5% phosphorus (£924k).

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Yearly Imports

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Top Origin (2019): Russia, £9.92M

Top Import (2019): Coke, semi-coke of coal, lignite, peat..., £9.92M

In 2019 the top import origins of Swansea were Russia (£9.92M), Brazil (£7.68M), Norway (£5.67M), and United Arab Emirates (£503k).

In 2019 the top imports of Swansea were Coke, semi-coke of coal, lignite, peat... (£9.92M), Chem wood pulp, soda/sulphate, non-conifer, bleached (£7.68M), Nitrogen-phosphorus-potassium fertilizers, pack >10kg (£5.67M), and Copper/copper alloy waste or scrap (£503k).

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Comparison in Time

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This section shows differences between total trade from Swansea throughout time.

This section shows forecasts for total exports and imports from Swansea. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.

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