Guaíba

Municipality in Rio Grande do Sul State in Brazil

Exports (2019): $1.31B, Rnk 36/2197

Top Destination (2019): $520M, China

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

Imports (2019): $1.3B, Rnk 31/2197

Top Origin (2019): $1.26B, Argentina

Top Import (2019): $902M, Delivery Trucks

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

Exports: In 2019, Brazil's Guaíba exported $1.31B, making it the 36th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Guaíba were N/A.

Imports: In 2019, Brazil's Guaíba imported $1.3B, making it the 31st largest importer out of the 2197 importers in Brazil. In 2019 top imports of Guaíba were Delivery Trucks ($902M), Cars ($353M), Excavation Machinery ($11.7M), Sodium or Potassium Peroxides ($8.28M), and Stranded Iron Wire ($3.98M).

Yearly Exports

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Value
Depth

Top Destination (2019): China, $520M

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

In 2019 the top export destinations of Guaíba were China ($520M), Italy ($127M), United States ($118M), Japan ($83.3M), and Taiwan ($78.6M).

In 2019 the top exports of Guaíba were N/A.

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Export Dynamics

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Fastest Growing Exports Destination (July 2019 - July 2020)

Rapidly Declining Export Origins (July 2019 - July 2020)

Yearly Imports

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Value
Depth

Top Origin (2019): Argentina, $1.26B

Top Import (2019): Delivery Trucks, $902M

In 2019 the top import origins of Guaíba were Argentina ($1.26B), China ($15.9M), United States ($9M), Germany ($5.77M), and Mexico ($2.27M).

In 2019 the top imports of Guaíba were Delivery Trucks ($902M), Cars ($353M), Excavation Machinery ($11.7M), Sodium or Potassium Peroxides ($8.28M), and Stranded Iron Wire ($3.98M).

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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 Guaíba throughout time.

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

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