CanoasMunicipality in Rio Grande do Sul State in Brazil
Exports (2019): $195M, Rnk 204/2197
Top Destination (2019): $72.8M, United States
Top Export (2019): $123M, Tractors
Imports (2019): $389M, Rnk 91/2197
Top Origin (2019): $108M, China
Top Import (2019): N/A, N/A
Exports: In 2019, Brazil's Canoas exported $195M, making it the 204th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Canoas were Tractors ($123M), Electrical Transformers ($17.1M), Vehicle Parts ($15.5M), Thermostats ($6.25M), and Other Furniture ($4.27M).
Imports: In 2019, Brazil's Canoas imported $389M, making it the 91st largest importer out of the 2197 importers in Brazil. In 2019 top imports of Canoas were N/A.
Top Destination (2019): United States, $72.8M
Top Product (2019): Tractors, $123M
In 2019 the top export destinations of Canoas were United States ($72.8M), Argentina ($28.1M), Mexico ($18.4M), Chile ($15.5M), and Colombia ($13.8M).
In 2019 the top exports of Canoas were Tractors ($123M), Electrical Transformers ($17.1M), Vehicle Parts ($15.5M), Thermostats ($6.25M), and Other Furniture ($4.27M).
Fastest Growing Exports Destination (May 2019 - May 2020)
Rapidly Declining Export Origins (May 2019 - May 2020)
Top Origin (2019): China, $108M
Top Import (2019): N/A, N/A
In 2019 the top import origins of Canoas were China ($108M), Morocco ($41.9M), Germany ($35.4M), United States ($22.5M), and Argentina ($18.9M).
In 2019 the top imports of Canoas were N/A.
This section shows differences between total trade from Canoas throughout time.
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 Canoas. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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