Paraguaçu

Municipality in Minas Gerais State in Brazil

Exports (2019): $8.26M, Rnk 965/2197

Top Destination (2019): $2.27M, Belgium

Top Export (2019): $8.26M, Coffee

Imports (2019): $2.69M, Rnk 825/2197

Top Origin (2019): $1.64M, China

Top Import (2019): $966k, Non-Retail Synthetic Staple Fibers Yarn

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

Exports: In 2019, Brazil's Paraguaçu exported $8.26M, making it the 965th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Paraguaçu were Coffee ($8.26M).

Imports: In 2019, Brazil's Paraguaçu imported $2.69M, making it the 825th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Paraguaçu were Non-Retail Synthetic Staple Fibers Yarn ($966k), Unprocessed Synthetic Staple Fibers ($576k), Non-Retail Pure Cotton Yarn ($527k), Dyeing Finishing Agents ($154k), and Knitting Machine Accessories ($140k).

Yearly Exports

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Top Destination (2019): Belgium, $2.27M

Top Product (2019): Coffee, $8.26M

In 2019 the top export destinations of Paraguaçu were Belgium ($2.27M), Germany ($2.23M), United Kingdom ($1.69M), United States ($1.61M), and New Zealand ($269k).

In 2019 the top exports of Paraguaçu were Coffee ($8.26M).

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Yearly Imports

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Top Origin (2019): China, $1.64M

Top Import (2019): Non-Retail Synthetic Staple Fibers Yarn, $966k

In 2019 the top import origins of Paraguaçu were China ($1.64M), Egypt ($459k), Germany ($165k), India ($157k), and United States ($134k).

In 2019 the top imports of Paraguaçu were Non-Retail Synthetic Staple Fibers Yarn ($966k), Unprocessed Synthetic Staple Fibers ($576k), Non-Retail Pure Cotton Yarn ($527k), Dyeing Finishing Agents ($154k), and Knitting Machine Accessories ($140k).

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Comparison in Time

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

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

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