Claraval

Municipality in Minas Gerais State in Brazil

Exports (2019): $320k, Rnk 1666/2197

Top Destination (2019): $134k, China

Top Export (2019): $206k, Tanned Equine and Bovine Hides

Imports (2019): $1.26M, Rnk 1005/2197

Top Origin (2019): $787k, China

Top Import (2019): $532k, Zippers

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

Exports: In 2019, Brazil's Claraval exported $320k, making it the 1666th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Claraval were Tanned Equine and Bovine Hides ($206k), Narrow Woven Fabric ($113k), Leather of Other Animals ($1.23k), and Equine and Bovine Hides ($50).

Imports: In 2019, Brazil's Claraval imported $1.26M, making it the 1005th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Claraval were Zippers ($532k), Synthetic Tanning Extracts ($288k), Narrow Woven Fabric ($183k), Synthetic Coloring Matter ($107k), and Glues ($36.4k).

Yearly Exports

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Top Destination (2019): China, $134k

Top Product (2019): Tanned Equine and Bovine Hides, $206k

In 2019 the top export destinations of Claraval were China ($134k), Bolivia ($90.7k), South Korea ($61.9k), Peru ($15.7k), and Hong Kong ($11.1k).

In 2019 the top exports of Claraval were Tanned Equine and Bovine Hides ($206k), Narrow Woven Fabric ($113k), Leather of Other Animals ($1.23k), and Equine and Bovine Hides ($50).

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Yearly Imports

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Top Origin (2019): China, $787k

Top Import (2019): Zippers, $532k

In 2019 the top import origins of Claraval were China ($787k), Turkey ($265k), India ($142k), Italy ($45.9k), and Germany ($25.1k).

In 2019 the top imports of Claraval were Zippers ($532k), Synthetic Tanning Extracts ($288k), Narrow Woven Fabric ($183k), Synthetic Coloring Matter ($107k), and Glues ($36.4k).

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Comparison in Time

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

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

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