Cornélio ProcópioExports (2019): $110M, Rnk 297/2197
Top Destination (2019): $23.6M, Russia
Top Export (2019): $108M, Coffee and Tea Extracts
Imports (2019): $15.6M, Rnk 464/2197
Top Origin (2019): $10.3M, China
Top Import (2019): N/A, N/A
Overview: This page contains the latest international trade data for Cornélio Procópio, including export and import data.
Exports: In 2019, Brazil's Cornélio Procópio exported $110M, making it the 297th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Cornélio Procópio were Coffee and Tea Extracts ($108M), Electrical Transformers ($566k), Corn ($422k), Soybeans ($328k), and Flat Flat-Rolled Steel ($46.5k).
Imports: In 2019, Brazil's Cornélio Procópio imported $15.6M, making it the 464th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Cornélio Procópio were N/A.
Yearly Exports
#permalink to sectionTop Destination (2019): Russia, $23.6M
Top Product (2019): Coffee and Tea Extracts, $108M
In 2019 the top export destinations of Cornélio Procópio were Russia ($23.6M), United States ($17.1M), Japan ($15.3M), Indonesia ($6.05M), and Peru ($4.59M).
In 2019 the top exports of Cornélio Procópio were Coffee and Tea Extracts ($108M), Electrical Transformers ($566k), Corn ($422k), Soybeans ($328k), and Flat Flat-Rolled Steel ($46.5k).
Export Dynamics
#permalink to sectionYearly Imports
#permalink to sectionTop Origin (2019): China, $10.3M
Top Import (2019): N/A, N/A
In 2019 the top import origins of Cornélio Procópio were China ($10.3M), South Korea ($958k), Russia ($921k), Spain ($705k), and Italy ($660k).
In 2019 the top imports of Cornélio Procópio were N/A.
Latest Data
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from Cornélio Procópio throughout time.
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Cornélio Procópio. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
