SiderópolisMunicipality in Santa Catarina State in Brazil
Exports (2019): $2.84M, Rnk 1211/2197
Top Destination (2019): $954k, Bolivia
Top Export (2019): $1.01M, Excavation Machinery
Imports (2019): $140k, Rnk 1430/2197
Top Origin (2019): $109k, United States
Top Import (2019): $57.7k, Synthetic Coloring Matter
Overview: This page contains the latest international trade data for Siderópolis, including export and import data.
Exports: In 2019, Brazil's Siderópolis exported $2.84M, making it the 1211th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Siderópolis were Excavation Machinery ($1.01M), Other Iron Products ($431k), Aqueous Paints ($422k), Nonaqueous Paints ($231k), and Other Iron Bars ($228k).
Imports: In 2019, Brazil's Siderópolis imported $140k, making it the 1430th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Siderópolis were Synthetic Coloring Matter ($57.7k), Other Coloring Matter ($32.6k), Cermets ($18.8k), Packaged Medicaments ($18.5k), and Rubberworking Machinery ($8.52k).
Top Destination (2019): Bolivia, $954k
Top Product (2019): Excavation Machinery, $1.01M
In 2019 the top export destinations of Siderópolis were Bolivia ($954k), Uruguay ($629k), Chile ($588k), Paraguay ($322k), and Peru ($272k).
In 2019 the top exports of Siderópolis were Excavation Machinery ($1.01M), Other Iron Products ($431k), Aqueous Paints ($422k), Nonaqueous Paints ($231k), and Other Iron Bars ($228k).
Top Origin (2019): United States, $109k
Top Import (2019): Synthetic Coloring Matter, $57.7k
In 2019 the top import origins of Siderópolis were United States ($109k), Turkey ($18.5k), and China ($12.9k).
In 2019 the top imports of Siderópolis were Synthetic Coloring Matter ($57.7k), Other Coloring Matter ($32.6k), Cermets ($18.8k), Packaged Medicaments ($18.5k), and Rubberworking Machinery ($8.52k).
This section shows differences between total trade from Siderópolis throughout time.
This section shows forecasts for total exports and imports from Siderópolis. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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