CuritibaExports (2019): $1.35B, Rnk 34/2197
Top Destination (2019): $218M, Argentina
Top Export (2019): $208M, Tractors
Imports (2019): $2.09B, Rnk 19/2197
Top Origin (2019): $665M, China
Top Import (2019): $233M, Refined Petroleum
Overview: This page contains the latest international trade data for Curitiba, including export and import data.
Exports: In 2019, Brazil's Curitiba exported $1.35B, making it the 34th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Curitiba were Tractors ($208M), Delivery Trucks ($136M), Sawn Wood ($125M), Soybeans ($96.5M), and Vehicle Chassis ($89.1M).
Imports: In 2019, Brazil's Curitiba imported $2.09B, making it the 19th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Curitiba were Refined Petroleum ($233M), Mixed Mineral or Chemical Fertilizers ($77.4M), Tractors ($52M), Acyclic Alcohols ($45.9M), and Nitrogenous Fertilizers ($45.5M).
Yearly Exports
#permalink to sectionIn 2019 the top export destinations of Curitiba were Argentina ($218M), Peru ($151M), Chile ($117M), China ($109M), and United States ($106M).
In 2019 the top exports of Curitiba were Tractors ($208M), Delivery Trucks ($136M), Sawn Wood ($125M), Soybeans ($96.5M), and Vehicle Chassis ($89.1M).
Export Dynamics
#permalink to sectionYearly Imports
#permalink to sectionTop Origin (2019): China, $665M
Top Import (2019): Refined Petroleum, $233M
In 2019 the top import origins of Curitiba were China ($665M), United States ($366M), Germany ($96.5M), Russia ($91.5M), and Argentina ($84.1M).
In 2019 the top imports of Curitiba were Refined Petroleum ($233M), Mixed Mineral or Chemical Fertilizers ($77.4M), Tractors ($52M), Acyclic Alcohols ($45.9M), and Nitrogenous Fertilizers ($45.5M).
Latest Data
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from Curitiba throughout time.
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Curitiba. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
