Guajará Mirim

Municipality in Rondônia State in Brazil

Exports (2019): $7.92M, Rnk 973/2197

Top Destination (2019): $7.92M, Bolivia

Top Export (2019): $2.74M, Soybean Oil

Imports (2019): $1.1M, Rnk 1045/2197

Top Origin (2019): $502k, France

Top Import (2019): N/A, N/A

Exports: In 2019, Brazil's Guajará Mirim exported $7.92M, making it the 973rd largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Guajará Mirim were Soybean Oil ($2.74M), Confectionery Sugar ($671k), Other Prepared Meat ($536k), Large Construction Vehicles ($486k), and Processed Tomatoes ($436k).

Imports: In 2019, Brazil's Guajará Mirim imported $1.1M, making it the 1045th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Guajará Mirim were N/A.

Value
Depth

Top Destination (2019): Bolivia, $7.92M

Top Product (2019): Soybean Oil, $2.74M

In 2019 the top export destinations of Guajará Mirim were Bolivia ($7.92M).

In 2019 the top exports of Guajará Mirim were Soybean Oil ($2.74M), Confectionery Sugar ($671k), Other Prepared Meat ($536k), Large Construction Vehicles ($486k), and Processed Tomatoes ($436k).

Export Dynamics

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Value
Depth

Top Origin (2019): France, $502k

Top Import (2019): N/A, N/A

In 2019 the top import origins of Guajará Mirim were France ($502k), China ($184k), Portugal ($155k), Morocco ($83.4k), and Italy ($78.4k).

In 2019 the top imports of Guajará Mirim were N/A.

Import Dynamics

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Comparison in Time

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Flow
Value

This section shows differences between total trade from Guajará-Mirim throughout time.

Comparison Map

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Value

The municipalities of Brazil with the highest exports in 2019 were Rio De Janeiro ($11.3B), Duque De Caxias ($10.4B), Parauapebas ($7.02B), Canaã Dos Carajás ($4.93B), and São Paulo ($4.14B)

The municipalities of Brazil with the highest imports in 2019 were Manaus ($10.1B), São Paulo ($10.1B), Rio De Janeiro ($9.48B), Itajaí ($7.3B), and Macaé ($5.31B)

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

Explore Forecasts