ContendaExports (2019): $11.3M, Rnk 871/2197
Top Destination (2019): $4.07M, United States
Top Export (2019): $4.91M, Plywood
Imports (2019): $1.73M, Rnk 924/2197
Top Origin (2019): $612k, Argentina
Top Import (2019): $1.19M, Dried Legumes
Overview: This page contains the latest international trade data for Contenda, including export and import data.
Exports: In 2019, Brazil's Contenda exported $11.3M, making it the 871st largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Contenda were Plywood ($4.91M), Dried Legumes ($2.94M), Vehicle Parts ($1.48M), Corn ($1.02M), and Bran ($574k).
Imports: In 2019, Brazil's Contenda imported $1.73M, making it the 924th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Contenda were Dried Legumes ($1.19M), Electric Motors ($230k), Propylene Polymers ($113k), Aluminium Foil ($107k), and Scrap Plastic ($63.7k).
Yearly Exports
#permalink to sectionTop Destination (2019): United States, $4.07M
Top Product (2019): Plywood, $4.91M
In 2019 the top export destinations of Contenda were United States ($4.07M), India ($1.83M), Egypt ($1.08M), Spain ($842k), and Angola ($662k).
In 2019 the top exports of Contenda were Plywood ($4.91M), Dried Legumes ($2.94M), Vehicle Parts ($1.48M), Corn ($1.02M), and Bran ($574k).
Exports Dynamics
#permalink to sectionYearly Imports
#permalink to sectionTop Origin (2019): Argentina, $612k
Top Import (2019): Dried Legumes, $1.19M
In 2019 the top import origins of Contenda were Argentina ($612k), Canada ($513k), China ($315k), Germany ($113k), and Mexico ($82.4k).
In 2019 the top imports of Contenda were Dried Legumes ($1.19M), Electric Motors ($230k), Propylene Polymers ($113k), Aluminium Foil ($107k), and Scrap Plastic ($63.7k).
Latest Data
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from Contenda throughout time.
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Contenda. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
