ItapetiningaMunicipality in São Paulo State in Brazil
Exports (2019): $75.3M, Rnk 395/2197
Top Destination (2019): $26.4M, Argentina
Top Export (2019): $15M, Other Rubber Products
Imports (2019): $65.9M, Rnk 245/2197
Top Origin (2019): $13.3M, United States
Top Import (2019): N/A, N/A
Exports: In 2019, Brazil's Itapetininga exported $75.3M, making it the 395th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Itapetininga were Other Rubber Products ($15M), Wood Fiberboard ($13.7M), Other Plastic Products ($12.6M), Eggs ($11.7M), and Vehicle Parts ($9.34M).
Imports: In 2019, Brazil's Itapetininga imported $65.9M, making it the 245th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Itapetininga were N/A.
Top Destination (2019): Argentina, $26.4M
Top Product (2019): Other Rubber Products, $15M
In 2019 the top export destinations of Itapetininga were Argentina ($26.4M), Saudi Arabia ($4.9M), United Arab Emirates ($4.36M), Mexico ($4.25M), and Hong Kong ($4.05M).
In 2019 the top exports of Itapetininga were Other Rubber Products ($15M), Wood Fiberboard ($13.7M), Other Plastic Products ($12.6M), Eggs ($11.7M), and Vehicle Parts ($9.34M).
Top Origin (2019): United States, $13.3M
Top Import (2019): N/A, N/A
In 2019 the top import origins of Itapetininga were United States ($13.3M), Canada ($9.42M), Morocco ($8.79M), China ($4.01M), and Nigeria ($3.91M).
In 2019 the top imports of Itapetininga were N/A.
This section shows differences between total trade from Itapetininga 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 Itapetininga. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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