Picada CaféMunicipality in Rio Grande do Sul State in Brazil
Exports (2019): $14.5M, Rnk 815/2197
Top Destination (2019): $11M, Argentina
Top Export (2019): $10.5M, Textile Footwear
Imports (2019): $2.27M, Rnk 868/2197
Top Origin (2019): $712k, China
Top Import (2019): $388k, Footwear Parts
Overview: This page contains the latest international trade data for Picada Café, including export and import data.
Exports: In 2019, Brazil's Picada Café exported $14.5M, making it the 815th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Picada Café were Textile Footwear ($10.5M), Rubber Footwear ($1.65M), Leather Footwear ($1.06M), Leather of Other Animals ($647k), and Footwear Parts ($284k).
Imports: In 2019, Brazil's Picada Café imported $2.27M, making it the 868th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Picada Café were Footwear Parts ($388k), Lubricating Products ($287k), Synthetic Coloring Matter ($218k), Rubber ($187k), and Prepared Rubber Accelerators ($179k).
Top Destination (2019): Argentina, $11M
Top Product (2019): Textile Footwear, $10.5M
In 2019 the top export destinations of Picada Café were Argentina ($11M), Colombia ($974k), Uruguay ($775k), Paraguay ($589k), and Germany ($410k).
In 2019 the top exports of Picada Café were Textile Footwear ($10.5M), Rubber Footwear ($1.65M), Leather Footwear ($1.06M), Leather of Other Animals ($647k), and Footwear Parts ($284k).
Top Origin (2019): China, $712k
Top Import (2019): Footwear Parts, $388k
In 2019 the top import origins of Picada Café were China ($712k), Vietnam ($466k), Germany ($343k), Italy ($260k), and Taiwan ($175k).
In 2019 the top imports of Picada Café were Footwear Parts ($388k), Lubricating Products ($287k), Synthetic Coloring Matter ($218k), Rubber ($187k), and Prepared Rubber Accelerators ($179k).
This section shows differences between total trade from Picada Café throughout time.
This section shows forecasts for total exports and imports from Picada Café. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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