Xaxim

Municipality in Santa Catarina State in Brazil

Exports (2019): $470k, Rnk 1592/2197

Top Destination (2019): $300k, Paraguay

Top Export (2019): $306k, Packing Bags

Imports (2019): $11.2M, Rnk 518/2197

Top Origin (2019): $7.18M, Paraguay

Top Import (2019): $7.18M, Corn

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

Exports: In 2019, Brazil's Xaxim exported $470k, making it the 1592nd largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Xaxim were Packing Bags ($306k), Other Paper Machinery ($69.6k), Animal or Vegetable Fertilizers ($45.5k), Mattresses ($26.6k), and Rubberworking Machinery ($21.5k).

Imports: In 2019, Brazil's Xaxim imported $11.2M, making it the 518th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Xaxim were Corn ($7.18M), Ethylene Polymers ($1.31M), Other Edible Preparations ($656k), Water Soluble Proteins ($616k), and Propylene Polymers ($363k).

Yearly Exports

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Top Destination (2019): Paraguay, $300k

Top Product (2019): Packing Bags, $306k

In 2019 the top export destinations of Xaxim were Paraguay ($300k), Argentina ($72.5k), Chile ($49.3k), Bolivia ($26.6k), and Austria ($21.5k).

In 2019 the top exports of Xaxim were Packing Bags ($306k), Other Paper Machinery ($69.6k), Animal or Vegetable Fertilizers ($45.5k), Mattresses ($26.6k), and Rubberworking Machinery ($21.5k).

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Yearly Imports

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Top Origin (2019): Paraguay, $7.18M

Top Import (2019): Corn, $7.18M

In 2019 the top import origins of Xaxim were Paraguay ($7.18M), United States ($2.37M), Argentina ($546k), China ($361k), and Israel ($291k).

In 2019 the top imports of Xaxim were Corn ($7.18M), Ethylene Polymers ($1.31M), Other Edible Preparations ($656k), Water Soluble Proteins ($616k), and Propylene Polymers ($363k).

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Comparison in Time

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

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

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