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Porto VelhoMunicipality in State in undefined
Exports (2019): $124M, Rnk 274/2197
Top Destination (2019): $31.7M, Netherlands
Top Export (2019): $94.3M, Soybeans
Imports (2019): $911M, Rnk 44/2197
Top Origin (2019): $505M, China
Top Import (2019): $135M, Electric Generating Sets
Overview: This page contains the latest international trade data for Porto Velho, including export and import data.
Exports: In 2019, undefined's Porto Velho exported $124M, making it the 274th largest exporter out of the 2197 exporters in undefined. In 2019 the top exports of Porto Velho were Soybeans ($94.3M), Shaped Wood ($6.39M), Sawn Wood ($5.14M), Corn ($4.1M), and Animal Organs ($2.34M).
Imports: In 2019, undefined's Porto Velho imported $911M, making it the 44th largest importer out of the 2197 importers in undefined. In 2019 top imports of Porto Velho were Electric Generating Sets ($135M), Propylene Polymers ($41.4M), Onions ($25.3M), Electrical Control Boards ($21.6M), and Office Machine Parts ($21.4M).
Top Destination (2019): Netherlands, $31.7M
Top Product (2019): Soybeans, $94.3M
In 2019 the top export destinations of Porto Velho were Netherlands ($31.7M), Spain ($26.9M), Turkey ($12.6M), Mexico ($7.81M), and Hong Kong ($5.61M).
In 2019 the top exports of Porto Velho were Soybeans ($94.3M), Shaped Wood ($6.39M), Sawn Wood ($5.14M), Corn ($4.1M), and Animal Organs ($2.34M).
Fastest Growing Exports Destination (Sep 2019 - Sep 2020)
Top Origin (2019): China, $505M
Top Import (2019): Electric Generating Sets, $135M
In 2019 the top import origins of Porto Velho were China ($505M), Argentina ($79.2M), United States ($29.1M), Colombia ($25.5M), and South Korea ($24.2M).
In 2019 the top imports of Porto Velho were Electric Generating Sets ($135M), Propylene Polymers ($41.4M), Onions ($25.3M), Electrical Control Boards ($21.6M), and Office Machine Parts ($21.4M).
This section shows differences between total trade from Porto Velho throughout time.
This section shows forecasts for total exports and imports from Porto Velho. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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Porto Velho