Água Doce

Municipality in Santa Catarina State in Brazil

Exports (2019): $572k, Rnk 1553/2197

Top Destination (2019): $558k, Paraguay

Top Export (2019): $139k, Carbon

Imports (2019): $9.74M, Rnk 543/2197

Top Origin (2019): $9.36M, China

Top Import (2019): N/A, N/A

Exports: In 2019, Brazil's Água Doce exported $572k, making it the 1553rd largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Água Doce were Carbon ($139k), Scrap Iron ($139k), Large Construction Vehicles ($100k), Centrifuges ($52.5k), and Machinery Having Individual Functions ($32.1k).

Imports: In 2019, Brazil's Água Doce imported $9.74M, making it the 543rd largest importer out of the 2197 importers in Brazil. In 2019 top imports of Água Doce were N/A.

Value
Depth

Top Destination (2019): Paraguay, $558k

Top Product (2019): Carbon, $139k

In 2019 the top export destinations of Água Doce were Paraguay ($558k) and Uruguay ($14.4k).

In 2019 the top exports of Água Doce were Carbon ($139k), Scrap Iron ($139k), Large Construction Vehicles ($100k), Centrifuges ($52.5k), and Machinery Having Individual Functions ($32.1k).

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Value
Depth

Top Origin (2019): China, $9.36M

Top Import (2019): N/A, N/A

In 2019 the top import origins of Água Doce were China ($9.36M), Germany ($178k), Switzerland ($106k), Paraguay ($91.1k), and United States ($2.77k).

In 2019 the top imports of Água Doce were N/A.

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Comparison in Time

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Flow
Value

This section shows differences between total trade from Água Doce throughout time.

Comparison Map

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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 Água Doce. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.

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