Itapoá

Municipality in Santa Catarina State in Brazil

Exports (2019): $92M, Rnk 348/2197

Top Destination (2019): $58.6M, China

Top Export (2019): $74.8M, Soybeans

Imports (2019): $63.5M, Rnk 250/2197

Top Origin (2019): $33.9M, China

Top Import (2019): $30.5M, Household Washing Machines

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

Exports: In 2019, Brazil's Itapoá exported $92M, making it the 348th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Itapoá were Soybeans ($74.8M) and Corn ($17.2M).

Imports: In 2019, Brazil's Itapoá imported $63.5M, making it the 250th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Itapoá were Household Washing Machines ($30.5M), Refrigerators ($13M), Kaolin Coated Paper ($5.53M), Centrifuges ($1.8M), and Technical Use Textiles ($1.39M).

Yearly Exports

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Value
Depth

Top Destination (2019): China, $58.6M

Top Product (2019): Soybeans, $74.8M

In 2019 the top export destinations of Itapoá were China ($58.6M), Japan ($15.6M), Thailand ($15.6M), Colombia ($1.61M), and Egypt ($412k).

In 2019 the top exports of Itapoá were Soybeans ($74.8M) and Corn ($17.2M).

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Yearly Imports

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Value
Depth

Top Origin (2019): China, $33.9M

Top Import (2019): Household Washing Machines, $30.5M

In 2019 the top import origins of Itapoá were China ($33.9M), Thailand ($9.26M), Chile ($4.65M), Germany ($3.14M), and India ($1.79M).

In 2019 the top imports of Itapoá were Household Washing Machines ($30.5M), Refrigerators ($13M), Kaolin Coated Paper ($5.53M), Centrifuges ($1.8M), and Technical Use Textiles ($1.39M).

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Import Dynamics

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Fastest Growing Import Origins (July 2019 - July 2020)

Rapidly Declining Import Origins (July 2019 - July 2020)

Comparison in Time

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Flow
Value

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

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

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