Canguçu

Municipality in Rio Grande do Sul State in Brazil

Exports (2019): $3, Rnk 2196/2197

Top Destination (2019): $3, Italy

Top Export (2019): $3, Pure Olive Oil

Imports (2019): $43.2k, Rnk 1633/2197

Top Origin (2019): $21.1k, China

Top Import (2019): $9.29k, Plastic Lids

Exports: In 2019, Brazil's Canguçu exported $3, making it the 2196th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Canguçu were Pure Olive Oil ($3).

Imports: In 2019, Brazil's Canguçu imported $43.2k, making it the 1633rd largest importer out of the 2197 importers in Brazil. In 2019 top imports of Canguçu were Plastic Lids ($9.29k), Centrifuges ($8.4k), Harvesting Machinery ($3.94k), Other Hand Tools ($1.72k), and Knives ($1.67k).

Value
Depth

Top Destination (2019): Italy, $3

Top Product (2019): Pure Olive Oil, $3

In 2019 the top export destinations of Canguçu were Italy ($3).

In 2019 the top exports of Canguçu were Pure Olive Oil ($3).

Export Dynamics

#permalink to section
Value
Depth

Top Origin (2019): China, $21.1k

Top Import (2019): Plastic Lids, $9.29k

In 2019 the top import origins of Canguçu were China ($21.1k), Spain ($17.7k), Greece ($3.94k), and Uruguay ($400).

In 2019 the top imports of Canguçu were Plastic Lids ($9.29k), Centrifuges ($8.4k), Harvesting Machinery ($3.94k), Other Hand Tools ($1.72k), and Knives ($1.67k).

Import Dynamics

#permalink to section

Comparison in Time

#permalink to section
Flow
Value

This section shows differences between total trade from Canguçu throughout time.

Comparison Map

#permalink to section
Value

The municipalities of Brazil with the highest exports in 2019 were Rio De Janeiro ($11.3B), Duque De Caxias ($10.4B), Parauapebas ($7.02B), Canaã Dos Carajás ($4.93B), and São Paulo ($4.14B)

The municipalities of Brazil with the highest imports in 2019 were Manaus ($10.1B), São Paulo ($10.1B), Rio De Janeiro ($9.48B), Itajaí ($7.3B), and Macaé ($5.31B)

This section shows forecasts for total exports and imports from Canguçu. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.

Explore Forecasts