Alto AraguaiaMunicipality in Mato Grosso State in Brazil
Exports (2019): $137M, Rnk 255/2197
Top Destination (2019): $37.7M, China
Top Export (2019): $70.3M, Soybean Meal
Imports (2019): $48.3M, Rnk 278/2197
Top Origin (2019): $25.8M, Canada
Top Import (2019): $25.8M, Potassic Fertilizers
Overview: This page contains the latest international trade data for Alto Araguaia, including export and import data.
Exports: In 2019, Brazil's Alto Araguaia exported $137M, making it the 255th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Alto Araguaia were Soybean Meal ($70.3M), Raw Cotton ($29M), Soybeans ($15.4M), Corn ($11.8M), and Soybean Oil ($8.94M).
Imports: In 2019, Brazil's Alto Araguaia imported $48.3M, making it the 278th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Alto Araguaia were Potassic Fertilizers ($25.8M), Mixed Mineral or Chemical Fertilizers ($11.3M), Nitrogenous Fertilizers ($8.91M), Calcium Phosphates ($1.41M), and Sulfuric Acid ($931k).
Top Destination (2019): China, $37.7M
Top Product (2019): Soybean Meal, $70.3M
In 2019 the top export destinations of Alto Araguaia were China ($37.7M), Vietnam ($16.8M), Cuba ($15.8M), Thailand ($13.9M), and Indonesia ($12.4M).
In 2019 the top exports of Alto Araguaia were Soybean Meal ($70.3M), Raw Cotton ($29M), Soybeans ($15.4M), Corn ($11.8M), and Soybean Oil ($8.94M).
Top Origin (2019): Canada, $25.8M
Top Import (2019): Potassic Fertilizers, $25.8M
In 2019 the top import origins of Alto Araguaia were Canada ($25.8M), United States ($11.3M), Algeria ($3.18M), United Arab Emirates ($1.81M), and Morocco ($1.41M).
In 2019 the top imports of Alto Araguaia were Potassic Fertilizers ($25.8M), Mixed Mineral or Chemical Fertilizers ($11.3M), Nitrogenous Fertilizers ($8.91M), Calcium Phosphates ($1.41M), and Sulfuric Acid ($931k).
This section shows differences between total trade from Alto Araguaia throughout time.
This section shows forecasts for total exports and imports from Alto Araguaia. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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