Águas FriasMunicipality in Santa Catarina State in Brazil
Exports (2019): $1.29M, Rnk 1390/2197
Top Destination (2019): $750k, Spain
Top Export (2019): $750k, Soybean Meal
Imports (2019): $2.52M, Rnk 840/2197
Top Origin (2019): $700k, China
Top Import (2019): $486k, Carbonates
Exports: In 2019, Brazil's Águas Frias exported $1.29M, making it the 1390th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Águas Frias were Soybean Meal ($750k) and Animal Food ($540k).
Imports: In 2019, Brazil's Águas Frias imported $2.52M, making it the 840th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Águas Frias were Carbonates ($486k), Sodium or Potassium Peroxides ($319k), Unsaturated Acyclic Monocarboxylic Acids ($283k), Sulfites ($238k), and Other Inorganic Acids ($201k).
Top Destination (2019): Spain, $750k
Top Product (2019): Soybean Meal, $750k
In 2019 the top export destinations of Águas Frias were Spain ($750k), Paraguay ($482k), and Uruguay ($57.4k).
In 2019 the top exports of Águas Frias were Soybean Meal ($750k) and Animal Food ($540k).
Top Origin (2019): China, $700k
Top Import (2019): Carbonates, $486k
In 2019 the top import origins of Águas Frias were China ($700k), Russia ($351k), Poland ($319k), India ($201k), and Italy ($198k).
In 2019 the top imports of Águas Frias were Carbonates ($486k), Sodium or Potassium Peroxides ($319k), Unsaturated Acyclic Monocarboxylic Acids ($283k), Sulfites ($238k), and Other Inorganic Acids ($201k).
This section shows differences between total trade from Águas Frias 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 Águas Frias. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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