Santo Ant么nio Do SudoesteExports (2019): $2.47M, Rnk 1244/2197
Top Destination (2019): $1.25M, Paraguay
Top Export (2019): $1.15M, Poultry
Imports (2019): $1.15M, Rnk 1030/2197
Top Origin (2019): $881k, Argentina
Top Import (2019): $637k, Dried Legumes
Overview: This page contains the latest international trade data for Santo Ant么nio do Sudoeste, including export and import data.
Exports: In 2019, Brazil's Santo Ant么nio Do Sudoeste exported $2.47M, making it the 1244th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Santo Ant么nio Do Sudoeste were Poultry ($1.15M), Tropical Fruits ($331k), Cassava ($243k), Spices ($189k), and Mat茅 ($172k).
Imports: In 2019, Brazil's Santo Ant么nio Do Sudoeste imported $1.15M, making it the 1030th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Santo Ant么nio Do Sudoeste were Dried Legumes ($637k), Synthetic Filament Yarn Woven Fabric ($268k), Apples and Pears ($218k), and Wheat Flours ($25.6k).
Yearly Exports
#permalink to sectionIn 2019 the top export destinations of Santo Ant么nio Do Sudoeste were Paraguay ($1.25M), Argentina ($1.11M), Tunisia ($89.1k), and Japan ($13.8k).
In 2019 the top exports of Santo Ant么nio Do Sudoeste were Poultry ($1.15M), Tropical Fruits ($331k), Cassava ($243k), Spices ($189k), and Mat茅 ($172k).
Yearly Imports
#permalink to sectionTop Origin (2019): Argentina, $881k
Top Import (2019): Dried Legumes, $637k
In 2019 the top import origins of Santo Ant么nio Do Sudoeste were Argentina ($881k) and Taiwan ($268k).
In 2019 the top imports of Santo Ant么nio Do Sudoeste were Dried Legumes ($637k), Synthetic Filament Yarn Woven Fabric ($268k), Apples and Pears ($218k), and Wheat Flours ($25.6k).
Latest Data
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from Santo Ant么nio do Sudoeste throughout time.
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Santo Ant么nio do Sudoeste. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
