Cruzeiro Do SulMunicipality in Rio Grande do Sul State in Brazil
Exports (2019): $21.6M, Rnk 719/2197
Top Destination (2019): $6.41M, Chile
Top Export (2019): $17.4M, Animal Meal and Pellets
Imports (2019): $112k, Rnk 1462/2197
Top Origin (2019): $45.9k, China
Top Import (2019): $27.6k, Fork-Lifts
Overview: This page contains the latest international trade data for Cruzeiro do Sul, including export and import data.
Exports: In 2019, Brazil's Cruzeiro Do Sul exported $21.6M, making it the 719th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Cruzeiro Do Sul were Animal Meal and Pellets ($17.4M), Bovine, Sheep, and Goat Fat ($3.33M), Bird Feathers and Skins ($931k), and Cement Articles ($23.5k).
Imports: In 2019, Brazil's Cruzeiro Do Sul imported $112k, making it the 1462nd largest importer out of the 2197 importers in Brazil. In 2019 top imports of Cruzeiro Do Sul were Fork-Lifts ($27.6k), Bovine, Sheep, and Goat Fat ($24.5k), Other Engines ($23k), Other Firearms ($16.1k), and Liquid Pumps ($4k).
Top Destination (2019): Chile, $6.41M
Top Product (2019): Animal Meal and Pellets, $17.4M
In 2019 the top export destinations of Cruzeiro Do Sul were Chile ($6.41M), Vietnam ($4.44M), South Africa ($3.74M), Netherlands ($3.33M), and Colombia ($3.02M).
In 2019 the top exports of Cruzeiro Do Sul were Animal Meal and Pellets ($17.4M), Bovine, Sheep, and Goat Fat ($3.33M), Bird Feathers and Skins ($931k), and Cement Articles ($23.5k).
Top Origin (2019): China, $45.9k
Top Import (2019): Fork-Lifts, $27.6k
In 2019 the top import origins of Cruzeiro Do Sul were China ($45.9k), Italy ($37.5k), Paraguay ($15.6k), Argentina ($8.88k), and Germany ($4.53k).
In 2019 the top imports of Cruzeiro Do Sul were Fork-Lifts ($27.6k), Bovine, Sheep, and Goat Fat ($24.5k), Other Engines ($23k), Other Firearms ($16.1k), and Liquid Pumps ($4k).
This section shows differences between total trade from Cruzeiro do Sul throughout time.
This section shows forecasts for total exports and imports from Cruzeiro do Sul. 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]