Marabá

Municipality in Pará State in Brazil

Exports (2019): $1.63B, Rnk 28/2197

Top Destination (2019): $344M, Germany

Top Export (2019): $1.39B, Copper Ore

Imports (2019): $74M, Rnk 236/2197

Top Origin (2019): $27.2M, United States

Top Import (2019): $18.6M, Rubber Tires

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

Exports: In 2019, Brazil's Marabá exported $1.63B, making it the 28th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Marabá were Copper Ore ($1.39B), Manganese Ore ($194M), Frozen Bovine Meat ($33.7M), Animal Organs ($3.88M), and Edible Offal ($2.73M).

Imports: In 2019, Brazil's Marabá imported $74M, making it the 236th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Marabá were Rubber Tires ($18.6M), Other Iron Products ($10.4M), Other Cast Iron Products ($8.48M), Large Construction Vehicles ($7.46M), and Other Construction Vehicles ($5.6M).

Yearly Exports

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Top Destination (2019): Germany, $344M

Top Product (2019): Copper Ore, $1.39B

In 2019 the top export destinations of Marabá were Germany ($344M), Poland ($297M), Taiwan ($219M), China ($203M), and Sweden ($158M).

In 2019 the top exports of Marabá were Copper Ore ($1.39B), Manganese Ore ($194M), Frozen Bovine Meat ($33.7M), Animal Organs ($3.88M), and Edible Offal ($2.73M).

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Yearly Imports

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Value
Depth

Top Origin (2019): United States, $27.2M

Top Import (2019): Rubber Tires, $18.6M

In 2019 the top import origins of Marabá were United States ($27.2M), Chile ($14.6M), China ($10.2M), Germany ($8.69M), and Japan ($3.55M).

In 2019 the top imports of Marabá were Rubber Tires ($18.6M), Other Iron Products ($10.4M), Other Cast Iron Products ($8.48M), Large Construction Vehicles ($7.46M), and Other Construction Vehicles ($5.6M).

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Comparison in Time

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

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

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