Penha

Municipality in Santa Catarina State in Brazil

Exports (2019): $5.28M, Rnk 1075/2197

Top Destination (2019): $4.77M, South Korea

Top Export (2019): $4.59M, Non-fillet Frozen Fish

Imports (2019): $3.16M, Rnk 788/2197

Top Origin (2019): $2.73M, Paraguay

Top Import (2019): $1.99M, Other Cloth Articles

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

Exports: In 2019, Brazil's Penha exported $5.28M, making it the 1075th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Penha were Non-fillet Frozen Fish ($4.59M), Fish Fillets ($169k), Twine and Rope ($157k), Sawn Wood ($153k), and Animal Food ($55k).

Imports: In 2019, Brazil's Penha imported $3.16M, making it the 788th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Penha were Other Cloth Articles ($1.99M), Twine and Rope ($747k), Railway Cargo Containers ($246k), Awnings, Tents, and Sails ($67.3k), and Narrow Woven Fabric ($39.4k).

Yearly Exports

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Value
Depth

Top Destination (2019): South Korea, $4.77M

Top Product (2019): Non-fillet Frozen Fish, $4.59M

In 2019 the top export destinations of Penha were South Korea ($4.77M), Paraguay ($162k), Mexico ($98.7k), Uruguay ($59.6k), and Spain ($40.2k).

In 2019 the top exports of Penha were Non-fillet Frozen Fish ($4.59M), Fish Fillets ($169k), Twine and Rope ($157k), Sawn Wood ($153k), and Animal Food ($55k).

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Yearly Imports

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Value
Depth

Top Origin (2019): Paraguay, $2.73M

Top Import (2019): Other Cloth Articles, $1.99M

In 2019 the top import origins of Penha were Paraguay ($2.73M), China ($221k), Denmark ($189k), Germany ($4.41k), and Netherlands ($2.02k).

In 2019 the top imports of Penha were Other Cloth Articles ($1.99M), Twine and Rope ($747k), Railway Cargo Containers ($246k), Awnings, Tents, and Sails ($67.3k), and Narrow Woven Fabric ($39.4k).

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

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