Porto Xavier

Municipality in Rio Grande do Sul State in Brazil

Exports (2019): $335k, Rnk 1659/2197

Top Destination (2019): $174k, Argentina

Top Export (2019): $158k, Other Oily Seeds

Imports (2019): $27.3M, Rnk 368/2197

Top Origin (2019): $24.6M, Argentina

Top Import (2019): $22.5M, Onions

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

Exports: In 2019, Brazil's Porto Xavier exported $335k, making it the 1659th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Porto Xavier were Other Oily Seeds ($158k), Onions ($127k), Cassava ($44.3k), and Recreational Boats ($6.48k).

Imports: In 2019, Brazil's Porto Xavier imported $27.3M, making it the 368th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Porto Xavier were Onions ($22.5M), Potatoes ($3.48M), Dried Legumes ($1.25M), Perfume Plants ($21.5k), and Sorghum ($19.6k).

Yearly Exports

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Value
Depth

Top Destination (2019): Argentina, $174k

Top Product (2019): Other Oily Seeds, $158k

In 2019 the top export destinations of Porto Xavier were Argentina ($174k), United Arab Emirates ($89.2k), Indonesia ($35k), Iraq ($33.4k), and Paraguay ($3.2k).

In 2019 the top exports of Porto Xavier were Other Oily Seeds ($158k), Onions ($127k), Cassava ($44.3k), and Recreational Boats ($6.48k).

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Yearly Imports

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Value
Depth

Top Origin (2019): Argentina, $24.6M

Top Import (2019): Onions, $22.5M

In 2019 the top import origins of Porto Xavier were Argentina ($24.6M), Chile ($1.76M), Netherlands ($697k), Canada ($126k), and Peru ($60.9k).

In 2019 the top imports of Porto Xavier were Onions ($22.5M), Potatoes ($3.48M), Dried Legumes ($1.25M), Perfume Plants ($21.5k), and Sorghum ($19.6k).

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Comparison in Time

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Flow
Value

This section shows differences between total trade from Porto Xavier throughout time.

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

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