RussasExports (2019): $10.4M, Rnk 907/2197
Top Destination (2019): $3.98M, United States
Top Export (2019): $10.4M, Waxes
Imports (2019): $2.89M, Rnk 806/2197
Top Origin (2019): $2.36M, China
Top Import (2019): $880k, Footwear Parts
Overview: This page contains the latest international trade data for Russas, including export and import data.
Exports: In 2019, Brazil's Russas exported $10.4M, making it the 907th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Russas were Waxes ($10.4M), Rubber Belting ($12k), and Other Construction Vehicles ($1.35k).
Imports: In 2019, Brazil's Russas imported $2.89M, making it the 806th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Russas were Footwear Parts ($880k), Other Plastic Sheetings ($703k), Glass Beads ($382k), Compounded Unvulcanised Rubber ($193k), and Machinery Having Individual Functions ($190k).
Yearly Exports
#permalink to sectionTop Destination (2019): United States, $3.98M
Top Product (2019): Waxes, $10.4M
In 2019 the top export destinations of Russas were United States ($3.98M), Netherlands ($1.39M), Japan ($1.25M), Belgium ($1.21M), and Italy ($765k).
In 2019 the top exports of Russas were Waxes ($10.4M), Rubber Belting ($12k), and Other Construction Vehicles ($1.35k).
Yearly Imports
#permalink to sectionTop Origin (2019): China, $2.36M
Top Import (2019): Footwear Parts, $880k
In 2019 the top import origins of Russas were China ($2.36M), Uruguay ($193k), Taiwan ($144k), Switzerland ($97.9k), and Italy ($92.5k).
In 2019 the top imports of Russas were Footwear Parts ($880k), Other Plastic Sheetings ($703k), Glass Beads ($382k), Compounded Unvulcanised Rubber ($193k), and Machinery Having Individual Functions ($190k).
Latest Data
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from Russas throughout time.
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Russas. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
