Sapucaia Do SulMunicipality in Rio Grande do Sul State in Brazil
Exports (2019): $35.5M, Rnk 594/2197
Top Destination (2019): $12.2M, Paraguay
Top Export (2019): $7.47M, Raw Iron Bars
Imports (2019): $26.2M, Rnk 375/2197
Top Origin (2019): N/A, N/A
Top Import (2019): $4.46M, Synthetic Filament Tow
Overview: This page contains the latest international trade data for Sapucaia do Sul, including export and import data.
Exports: In 2019, Brazil's Sapucaia Do Sul exported $35.5M, making it the 594th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Sapucaia Do Sul were Raw Iron Bars ($7.47M), Semi-Finished Iron ($5.17M), Iron Wire ($4.87M), Iron Nails ($3.81M), and Non-Retail Synthetic Staple Fibers Yarn ($3.5M).
Imports: In 2019, Brazil's Sapucaia Do Sul imported $26.2M, making it the 375th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Sapucaia Do Sul were Synthetic Filament Tow ($4.46M), Other Electrical Machinery ($3.46M), Carbon-based Electronics ($3.38M), Steel Wire ($2.17M), and Ferroalloys ($1.61M).
Top Destination (2019): Paraguay, $12.2M
Top Product (2019): Raw Iron Bars, $7.47M
In 2019 the top export destinations of Sapucaia Do Sul were Paraguay ($12.2M), Argentina ($8.65M), Uruguay ($5.44M), Guatemala ($5.21M), and Bolivia ($1.62M).
In 2019 the top exports of Sapucaia Do Sul were Raw Iron Bars ($7.47M), Semi-Finished Iron ($5.17M), Iron Wire ($4.87M), Iron Nails ($3.81M), and Non-Retail Synthetic Staple Fibers Yarn ($3.5M).
Top Origin (2019): N/A, N/A
Top Import (2019): Synthetic Filament Tow, $4.46M
In 2019 the top import origins of Sapucaia Do Sul were N/A.
In 2019 the top imports of Sapucaia Do Sul were Synthetic Filament Tow ($4.46M), Other Electrical Machinery ($3.46M), Carbon-based Electronics ($3.38M), Steel Wire ($2.17M), and Ferroalloys ($1.61M).
Fastest Growing Import Origins (Sep 2019 - Sep 2020)
This section shows differences between total trade from Sapucaia do Sul throughout time.
This section shows forecasts for total exports and imports from Sapucaia do Sul. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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