Exports (2019): $67M, Rnk 415/2197
Top Destination (2019): $43.9M, Paraguay
Top Export (2019): $46M, Beer
Imports (2019): $4.88M, Rnk 704/2197
Top Origin (2019): $1.42M, United States
Top Import (2019): $1.39M, Coated Flat-Rolled Iron
Exports (2019): $67M, Rnk 415/2197
Top Destination (2019): $43.9M, Paraguay
Top Export (2019): $46M, Beer
Imports (2019): $4.88M, Rnk 704/2197
Top Origin (2019): $1.42M, United States
Top Import (2019): $1.39M, Coated Flat-Rolled Iron
Overview: This page contains the latest international trade data for Cândido Mota, including export and import data.
Exports: In 2019, Brazil's Cândido Mota exported $67M, making it the 415th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Cândido Mota were Beer ($46M), Soybeans ($14.2M), Flavored Water ($2.92M), Corn ($1.25M), and Lifting Machinery ($1.11M).
Imports: In 2019, Brazil's Cândido Mota imported $4.88M, making it the 704th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Cândido Mota were Coated Flat-Rolled Iron ($1.39M), Hops ($1.21M), Glass Bottles ($481k), Lifting Machinery ($455k), and Other Measuring Instruments ($362k).
In 2019 the top export destinations of Cândido Mota were Paraguay ($43.9M), China ($10.3M), Bolivia ($6.35M), Thailand ($3.86M), and Argentina ($1.05M).
In 2019 the top exports of Cândido Mota were Beer ($46M), Soybeans ($14.2M), Flavored Water ($2.92M), Corn ($1.25M), and Lifting Machinery ($1.11M).
Top Origin (2019): United States, $1.42M
Top Import (2019): Coated Flat-Rolled Iron, $1.39M
In 2019 the top import origins of Cândido Mota were United States ($1.42M), Canada ($1.03M), Germany ($896k), France ($587k), and Argentina ($525k).
In 2019 the top imports of Cândido Mota were Coated Flat-Rolled Iron ($1.39M), Hops ($1.21M), Glass Bottles ($481k), Lifting Machinery ($455k), and Other Measuring Instruments ($362k).
This section shows differences between total trade from Cândido Mota throughout time.
This section shows forecasts for total exports and imports from Cândido Mota. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.