Itaituba

Municipality in Pará State in Brazil

Exports (2019): $44.2M, Rnk 531/2197

Top Destination (2019): $12.5M, Russia

Top Export (2019): $23M, Soybeans

Imports (2019): $1.35M, Rnk 986/2197

Top Origin (2019): $651k, Poland

Top Import (2019): $741k, Stone Processing Machines

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

Exports: In 2019, Brazil's Itaituba exported $44.2M, making it the 531st largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Itaituba were Soybeans ($23M), Copper Ore ($8.78M), Shaped Wood ($6.6M), Gold ($4.17M), and Sawn Wood ($1.65M).

Imports: In 2019, Brazil's Itaituba imported $1.35M, making it the 986th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Itaituba were Stone Processing Machines ($741k), Cyanides ($141k), Excavation Machinery ($90.9k), Activated Carbon ($66.3k), and Woodworking machines ($38.2k).

Yearly Exports

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Top Destination (2019): Russia, $12.5M

Top Product (2019): Soybeans, $23M

In 2019 the top export destinations of Itaituba were Russia ($12.5M), China ($10.7M), Japan ($9.74M), United States ($7.98M), and Portugal ($891k).

In 2019 the top exports of Itaituba were Soybeans ($23M), Copper Ore ($8.78M), Shaped Wood ($6.6M), Gold ($4.17M), and Sawn Wood ($1.65M).

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Yearly Imports

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Depth

Top Origin (2019): Poland, $651k

Top Import (2019): Stone Processing Machines, $741k

In 2019 the top import origins of Itaituba were Poland ($651k), Czechia ($141k), France ($97.7k), India ($94.8k), and United States ($66.8k).

In 2019 the top imports of Itaituba were Stone Processing Machines ($741k), Cyanides ($141k), Excavation Machinery ($90.9k), Activated Carbon ($66.3k), and Woodworking machines ($38.2k).

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Comparison in Time

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Flow
Value

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

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

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