CantagaloMunicipality in Rio de Janeiro State in Brazil
Exports (2019): $62.2k, Rnk 1904/2197
Top Destination (2019): $33.5k, Netherlands
Top Export (2019): $30.6k, Knit Women's Suits
Imports (2019): $7.41M, Rnk 601/2197
Top Origin (2019): $6.97M, United States
Top Import (2019): $6.97M, Petroleum Coke
Overview: This page contains the latest international trade data for Cantagalo, including export and import data.
Exports: In 2019, Brazil's Cantagalo exported $62.2k, making it the 1904th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Cantagalo were Knit Women's Suits ($30.6k), Knit Women's Shirts ($18.1k), Other Women's Undergarments ($7.35k), Knit Women's Coats ($3.6k), and Knit Active Wear ($1.91k).
Imports: In 2019, Brazil's Cantagalo imported $7.41M, making it the 601st largest importer out of the 2197 importers in Brazil. In 2019 top imports of Cantagalo were Petroleum Coke ($6.97M), Refractory Bricks ($312k), Hydrometers ($47.3k), Gypsum ($28.8k), and Other Heating Machinery ($14k).
Top Destination (2019): Netherlands, $33.5k
Top Product (2019): Knit Women's Suits, $30.6k
In 2019 the top export destinations of Cantagalo were Netherlands ($33.5k), United Kingdom ($21.7k), Switzerland ($4.73k), and Chile ($2.27k).
In 2019 the top exports of Cantagalo were Knit Women's Suits ($30.6k), Knit Women's Shirts ($18.1k), Other Women's Undergarments ($7.35k), Knit Women's Coats ($3.6k), and Knit Active Wear ($1.91k).
Top Origin (2019): United States, $6.97M
Top Import (2019): Petroleum Coke, $6.97M
In 2019 the top import origins of Cantagalo were United States ($6.97M), Germany ($342k), France ($50.5k), Spain ($28.8k), and China ($13.7k).
In 2019 the top imports of Cantagalo were Petroleum Coke ($6.97M), Refractory Bricks ($312k), Hydrometers ($47.3k), Gypsum ($28.8k), and Other Heating Machinery ($14k).
This section shows differences between total trade from Cantagalo throughout time.
This section shows forecasts for total exports and imports from Cantagalo. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
Have questions, comments, or concerns?
Send us an e-mail: [email protected]
v4.0.2 ant