Valente

Municipality in Bahia State in Brazil

Exports (2019): $7.95M, Rnk 972/2197

Top Destination (2019): $4.24M, China

Top Export (2019): $4.57M, Coconut and Other Vegetable Fibers

Imports (2019): $79.2k, Rnk 1527/2197

Top Origin (2019): $62.5k, China

Top Import (2019): $36k, Bi-Wheel Vehicle Parts

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

Exports: In 2019, Brazil's Valente exported $7.95M, making it the 972nd largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Valente were Coconut and Other Vegetable Fibers ($4.57M), Twine and Rope ($2.69M), Other Vegetable Fibers Yarn ($615k), and Hand-Woven Rugs ($72k).

Imports: In 2019, Brazil's Valente imported $79.2k, making it the 1527th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Valente were Bi-Wheel Vehicle Parts ($36k), Iron Fasteners ($14.8k), Engine Parts ($13.4k), Ball Bearings ($12.8k), and Textile Fiber Machinery ($1.32k).

Yearly Exports

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Top Destination (2019): China, $4.24M

Top Product (2019): Coconut and Other Vegetable Fibers, $4.57M

In 2019 the top export destinations of Valente were China ($4.24M), United States ($2.01M), Portugal ($561k), Canada ($453k), and Russia ($171k).

In 2019 the top exports of Valente were Coconut and Other Vegetable Fibers ($4.57M), Twine and Rope ($2.69M), Other Vegetable Fibers Yarn ($615k), and Hand-Woven Rugs ($72k).

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Yearly Imports

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Value
Depth

Top Origin (2019): China, $62.5k

Top Import (2019): Bi-Wheel Vehicle Parts, $36k

In 2019 the top import origins of Valente were China ($62.5k), India ($16.1k), and United States ($554).

In 2019 the top imports of Valente were Bi-Wheel Vehicle Parts ($36k), Iron Fasteners ($14.8k), Engine Parts ($13.4k), Ball Bearings ($12.8k), and Textile Fiber Machinery ($1.32k).

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Comparison in Time

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Flow
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This section shows differences between total trade from Valente throughout time.

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

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