Mirassol

Municipality in São Paulo State in Brazil

Exports (2019): $5.73M, Rnk 1049/2197

Top Destination (2019): $2.68M, Paraguay

Top Export (2019): $3.04M, Other Furniture

Imports (2019): $8.31M, Rnk 572/2197

Top Origin (2019): $4.42M, Netherlands

Top Import (2019): $4.42M, Animal Food

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

Exports: In 2019, Brazil's Mirassol exported $5.73M, making it the 1049th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Mirassol were Other Furniture ($3.04M), Animal Food ($1.81M), Trailers ($682k), Vegetable Tanning Extracts ($86.4k), and Corrugated Paper ($43k).

Imports: In 2019, Brazil's Mirassol imported $8.31M, making it the 572nd largest importer out of the 2197 importers in Brazil. In 2019 top imports of Mirassol were Animal Food ($4.42M), Valves ($689k), Centrifuges ($459k), Other Engines ($371k), and Non-Mechanical Removal Machinery ($367k).

Yearly Exports

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Value
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Top Destination (2019): Paraguay, $2.68M

Top Product (2019): Other Furniture, $3.04M

In 2019 the top export destinations of Mirassol were Paraguay ($2.68M), Angola ($979k), Chile ($970k), United States ($502k), and Bolivia ($149k).

In 2019 the top exports of Mirassol were Other Furniture ($3.04M), Animal Food ($1.81M), Trailers ($682k), Vegetable Tanning Extracts ($86.4k), and Corrugated Paper ($43k).

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Yearly Imports

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Value
Depth

Top Origin (2019): Netherlands, $4.42M

Top Import (2019): Animal Food, $4.42M

In 2019 the top import origins of Mirassol were Netherlands ($4.42M), China ($3.4M), Japan ($295k), South Korea ($134k), and Taiwan ($38.6k).

In 2019 the top imports of Mirassol were Animal Food ($4.42M), Valves ($689k), Centrifuges ($459k), Other Engines ($371k), and Non-Mechanical Removal Machinery ($367k).

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Comparison in Time

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Flow
Value

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

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

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