GuapiaçuExports (2019): $78.6M, Rnk 385/2197
Top Destination (2019): $15.3M, China
Top Export (2019): $40.3M, Poultry
Imports (2019): $715k, Rnk 1136/2197
Top Origin (2019): $415k, Italy
Top Import (2019): $415k, Woodworking machines
Overview: This page contains the latest international trade data for Guapiaçu, including export and import data.
Exports: In 2019, Brazil's Guapiaçu exported $78.6M, making it the 385th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Guapiaçu were Poultry ($40.3M), Poultry Meat ($16.7M), Bovine ($9.68M), Eggs ($5.77M), and Other Furniture ($5.68M).
Imports: In 2019, Brazil's Guapiaçu imported $715k, making it the 1136th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Guapiaçu were Woodworking machines ($415k), Other Inorganic Acids ($158k), Eggs ($96.1k), Air Conditioners ($19.5k), and Telephones ($7.06k).
Yearly Exports
#permalink to sectionIn 2019 the top export destinations of Guapiaçu were China ($15.3M), Peru ($14.1M), Turkey ($9.69M), Ecuador ($9.46M), and Argentina ($8.11M).
In 2019 the top exports of Guapiaçu were Poultry ($40.3M), Poultry Meat ($16.7M), Bovine ($9.68M), Eggs ($5.77M), and Other Furniture ($5.68M).
Export Dynamics
#permalink to sectionYearly Imports
#permalink to sectionTop Origin (2019): Italy, $415k
Top Import (2019): Woodworking machines, $415k
In 2019 the top import origins of Guapiaçu were Italy ($415k), China ($164k), United States ($123k), Netherlands ($8.54k), and Belgium ($4.15k).
In 2019 the top imports of Guapiaçu were Woodworking machines ($415k), Other Inorganic Acids ($158k), Eggs ($96.1k), Air Conditioners ($19.5k), and Telephones ($7.06k).
Latest Data
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from Guapiaçu throughout time.
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Guapiaçu. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
