OuvidorExports (2019): $242M, Rnk 164/2197
Top Destination (2019): $114M, China
Top Export (2019): $242M, Ferroalloys
Imports (2019): $6.77M, Rnk 629/2197
Top Origin (2019): $3.69M, Australia
Top Import (2019): $3.69M, Aluminium Powder
Overview: This page contains the latest international trade data for Ouvidor, including export and import data.
Exports: In 2019, Brazil's Ouvidor exported $242M, making it the 164th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Ouvidor were Ferroalloys ($242M) and Niobium, Tantalum, Vanadium and Zirconium Ore ($2.04k).
Imports: In 2019, Brazil's Ouvidor imported $6.77M, making it the 629th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Ouvidor were Aluminium Powder ($3.69M), Prepr binder for foundry ($1.51M), Valves ($454k), Stone Processing Machines ($412k), and Organo-Sulfur Compounds ($235k).
Yearly Exports
#permalink to sectionTop Destination (2019): China, $114M
Top Product (2019): Ferroalloys, $242M
In 2019 the top export destinations of Ouvidor were China ($114M), Netherlands ($55.9M), United States ($35.2M), Singapore ($22.7M), and Taiwan ($5.82M).
In 2019 the top exports of Ouvidor were Ferroalloys ($242M) and Niobium, Tantalum, Vanadium and Zirconium Ore ($2.04k).
Yearly Imports
#permalink to sectionTop Origin (2019): Australia, $3.69M
Top Import (2019): Aluminium Powder, $3.69M
In 2019 the top import origins of Ouvidor were Australia ($3.69M), Mexico ($1.51M), China ($539k), United States ($454k), and Germany ($371k).
In 2019 the top imports of Ouvidor were Aluminium Powder ($3.69M), Prepr binder for foundry ($1.51M), Valves ($454k), Stone Processing Machines ($412k), and Organo-Sulfur Compounds ($235k).
Latest Data
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from Ouvidor throughout time.
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Ouvidor. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
