Getúlio VargasMunicipality in Rio Grande do Sul State in Brazil
Exports (2019): $2.58M, Rnk 1233/2197
Top Destination (2019): $1.09M, Paraguay
Top Export (2019): $1.36M, Blank Audio Media
Imports (2019): $1.12M, Rnk 1034/2197
Top Origin (2019): $359k, China
Top Import (2019): $394k, Decals
Overview: This page contains the latest international trade data for Getúlio Vargas, including export and import data.
Exports: In 2019, Brazil's Getúlio Vargas exported $2.58M, making it the 1233rd largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Getúlio Vargas were Blank Audio Media ($1.36M), Machinery Having Individual Functions ($788k), Other Heating Machinery ($306k), Other Plastic Products ($128k), and Raw Plastic Sheeting ($10).
Imports: In 2019, Brazil's Getúlio Vargas imported $1.12M, making it the 1034th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Getúlio Vargas were Decals ($394k), Blank Audio Media ($220k), Raw Plastic Sheeting ($130k), Integrated Circuits ($106k), and Nonaqueous Pigments ($80.7k).
Top Destination (2019): Paraguay, $1.09M
Top Product (2019): Blank Audio Media, $1.36M
In 2019 the top export destinations of Getúlio Vargas were Paraguay ($1.09M), Peru ($667k), Uruguay ($448k), Venezuela ($255k), and Colombia ($118k).
In 2019 the top exports of Getúlio Vargas were Blank Audio Media ($1.36M), Machinery Having Individual Functions ($788k), Other Heating Machinery ($306k), Other Plastic Products ($128k), and Raw Plastic Sheeting ($10).
In 2019 the top import origins of Getúlio Vargas were China ($359k), United Kingdom ($318k), United States ($172k), France ($133k), and Germany ($65.5k).
In 2019 the top imports of Getúlio Vargas were Decals ($394k), Blank Audio Media ($220k), Raw Plastic Sheeting ($130k), Integrated Circuits ($106k), and Nonaqueous Pigments ($80.7k).
This section shows differences between total trade from Getúlio Vargas throughout time.
This section shows forecasts for total exports and imports from Getúlio Vargas. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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