Três RiosMunicipality in Rio de Janeiro State in Brazil
Exports (2019): $51.4M, Rnk 496/2197
Top Destination (2019): $33.5M, United States
Top Export (2019): $27.7M, Other Prepared Meat
Imports (2019): $88.7M, Rnk 218/2197
Top Origin (2019): $20.2M, United States
Top Import (2019): $30.3M, Ethylene Polymers
Overview: This page contains the latest international trade data for Três Rios, including export and import data.
Exports: In 2019, Brazil's Três Rios exported $51.4M, making it the 496th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Três Rios were Other Prepared Meat ($27.7M), Raw Plastic Sheeting ($15.1M), Leather further prepared after tanning or... ($2.93M), Sausages ($2.34M), and Sugar Preserved Foods ($942k).
Imports: In 2019, Brazil's Três Rios imported $88.7M, making it the 218th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Três Rios were Ethylene Polymers ($30.3M), Raw Zinc ($11.5M), Pure Olive Oil ($7.93M), Ink ($6.1M), and Aluminium Foil ($4.16M).
Top Destination (2019): United States, $33.5M
Top Product (2019): Other Prepared Meat, $27.7M
In 2019 the top export destinations of Três Rios were United States ($33.5M), Mexico ($4.22M), Argentina ($3.25M), Colombia ($1.96M), and France ($1.83M).
In 2019 the top exports of Três Rios were Other Prepared Meat ($27.7M), Raw Plastic Sheeting ($15.1M), Leather further prepared after tanning or... ($2.93M), Sausages ($2.34M), and Sugar Preserved Foods ($942k).
Top Origin (2019): United States, $20.2M
Top Import (2019): Ethylene Polymers, $30.3M
In 2019 the top import origins of Três Rios were United States ($20.2M), Canada ($14.7M), China ($8.89M), Peru ($7.81M), and India ($6.21M).
In 2019 the top imports of Três Rios were Ethylene Polymers ($30.3M), Raw Zinc ($11.5M), Pure Olive Oil ($7.93M), Ink ($6.1M), and Aluminium Foil ($4.16M).
This section shows differences between total trade from Três Rios throughout time.
This section shows forecasts for total exports and imports from Três Rios. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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