Vicksburg, MsPort in United States
Exports (2019): $6.1k, Rnk 380/383
Top Destination (2019): $6.1k, Canada
Top Export (2019): $6.1k, Aircraft parts nes
Imports (2019): $69M, Rnk 198/383
Top Origin (2019): $62.5M, Japan
Top Import (2019): $36.9M, Transmissions for motor vehicles
Overview: This page contains the latest international trade data for Vicksburg, MS, including export and import data.
Exports: In 2019, United States' Vicksburg, Ms exported $6.1k, making it the 380th largest exporter out of the 383 exporters in United States. In 2019 the top exports of Vicksburg, Ms were Aircraft parts nes ($6.1k).
Imports: In 2019, United States' Vicksburg, Ms imported $69M, making it the 198th largest importer out of the 383 importers in United States. In 2019 top imports of Vicksburg, Ms were Transmissions for motor vehicles ($36.9M), Drive axles with differential for motor... ($9.59M), Vehicle parts: brakes, servo-brakes and parts... ($3.87M), Engines, spark-ignition reciprocating, over 1000 cc ($3.44M), and Motor vehicle parts nes ($2.72M).
Top Destination (2019): Canada, $6.1k
Top Product (2019): Aircraft parts nes, $6.1k
In 2019 the top export destinations of Vicksburg, Ms were Canada ($6.1k).
In 2019 the top exports of Vicksburg, Ms were Aircraft parts nes ($6.1k).
Top Origin (2019): Japan, $62.5M
Top Import (2019): Transmissions for motor vehicles, $36.9M
In 2019 the top import origins of Vicksburg, Ms were Japan ($62.5M), China ($3.48M), Bangladesh ($550k), Canada ($442k), and Cambodia ($379k).
In 2019 the top imports of Vicksburg, Ms were Transmissions for motor vehicles ($36.9M), Drive axles with differential for motor... ($9.59M), Vehicle parts: brakes, servo-brakes and parts... ($3.87M), Engines, spark-ignition reciprocating, over 1000 cc ($3.44M), and Motor vehicle parts nes ($2.72M).
This section shows differences between total trade from Vicksburg, MS throughout time.
This section shows forecasts for total exports and imports from Vicksburg, MS. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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