Ourilândia Do NorteExports (2019): $126M, Rnk 270/2197
Top Destination (2019): $30.7M, Italy
Top Export (2019): $126M, Ferroalloys
Imports (2019): $9.96M, Rnk 540/2197
Top Origin (2019): $7.99M, Colombia
Top Import (2019): $7.99M, Coal Briquettes
Overview: This page contains the latest international trade data for Ourilândia do Norte, including export and import data.
Exports: In 2019, Brazil's Ourilândia Do Norte exported $126M, making it the 270th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Ourilândia Do Norte were Ferroalloys ($126M).
Imports: In 2019, Brazil's Ourilândia Do Norte imported $9.96M, making it the 540th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Ourilândia Do Norte were Coal Briquettes ($7.99M), Carbon-based Electronics ($720k), Ferroalloys ($597k), Stone Processing Machines ($210k), and Rubber Tires ($103k).
Yearly Exports
#permalink to sectionTop Destination (2019): Italy, $30.7M
Top Product (2019): Ferroalloys, $126M
In 2019 the top export destinations of Ourilândia Do Norte were Italy ($30.7M), United States ($29.8M), Belgium ($21.5M), China ($16.2M), and Finland ($13.8M).
In 2019 the top exports of Ourilândia Do Norte were Ferroalloys ($126M).
Yearly Imports
#permalink to sectionTop Origin (2019): Colombia, $7.99M
Top Import (2019): Coal Briquettes, $7.99M
In 2019 the top import origins of Ourilândia Do Norte were Colombia ($7.99M), Austria ($758k), China ($603k), United States ($381k), and Spain ($103k).
In 2019 the top imports of Ourilândia Do Norte were Coal Briquettes ($7.99M), Carbon-based Electronics ($720k), Ferroalloys ($597k), Stone Processing Machines ($210k), and Rubber Tires ($103k).
Latest Data
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from Ourilândia do Norte throughout time.
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Ourilândia do Norte. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
