Papanduva

Municipality in Santa Catarina State in Brazil

Exports (2019): $12.5M, Rnk 848/2197

Top Destination (2019): $9.48M, United States

Top Export (2019): $8.97M, Shaped Wood

Imports (2019): $1.72M, Rnk 926/2197

Top Origin (2019): $788k, Vietnam

Top Import (2019): $1.24M, Unprocessed Synthetic Staple Fibers

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

Exports: In 2019, Brazil's Papanduva exported $12.5M, making it the 848th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Papanduva were Shaped Wood ($8.97M), Sawn Wood ($3.24M), Wooden Tool Handles ($250k), and Wood Carpentry ($29.7k).

Imports: In 2019, Brazil's Papanduva imported $1.72M, making it the 926th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Papanduva were Unprocessed Synthetic Staple Fibers ($1.24M), Corn ($253k), Glues ($119k), Raw Plastic Sheeting ($62.7k), and Amino-resins ($26.8k).

Yearly Exports

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Value
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Top Destination (2019): United States, $9.48M

Top Product (2019): Shaped Wood, $8.97M

In 2019 the top export destinations of Papanduva were United States ($9.48M), Mexico ($1.28M), United Arab Emirates ($325k), Thailand ($267k), and Taiwan ($211k).

In 2019 the top exports of Papanduva were Shaped Wood ($8.97M), Sawn Wood ($3.24M), Wooden Tool Handles ($250k), and Wood Carpentry ($29.7k).

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Yearly Imports

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Value
Depth

Top Origin (2019): Vietnam, $788k

Top Import (2019): Unprocessed Synthetic Staple Fibers, $1.24M

In 2019 the top import origins of Papanduva were Vietnam ($788k), China ($373k), Paraguay ($253k), Indonesia ($130k), and United States ($121k).

In 2019 the top imports of Papanduva were Unprocessed Synthetic Staple Fibers ($1.24M), Corn ($253k), Glues ($119k), Raw Plastic Sheeting ($62.7k), and Amino-resins ($26.8k).

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Comparison in Time

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Flow
Value

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

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

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