GoianaMunicipality in Pernambuco State in Brazil
Exports (2019): $359M, Rnk 129/2197
Top Destination (2019): $221M, Argentina
Top Export (2019): $246M, Cars
Imports (2019): $251M, Rnk 125/2197
Top Origin (2019): $70.9M, Mexico
Top Import (2019): $56.5M, Vehicle Parts
Exports: In 2019, Brazil's Goiana exported $359M, making it the 129th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Goiana were Cars ($246M), Delivery Trucks ($110M), Paper Containers ($977k), Float Glass ($841k), and Safety Glass ($479k).
Imports: In 2019, Brazil's Goiana imported $251M, making it the 125th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Goiana were Vehicle Parts ($56.5M), Spark-Ignition Engines ($40.6M), Seats ($31.7M), Carbonates ($10.7M), and Combustion Engines ($10.5M).
In 2019 the top export destinations of Goiana were Argentina ($221M), Mexico ($46.7M), Chile ($20.9M), Uruguay ($17.5M), and Peru ($17.4M).
In 2019 the top exports of Goiana were Cars ($246M), Delivery Trucks ($110M), Paper Containers ($977k), Float Glass ($841k), and Safety Glass ($479k).
Top Origin (2019): Mexico, $70.9M
Top Import (2019): Vehicle Parts, $56.5M
In 2019 the top import origins of Goiana were Mexico ($70.9M), Italy ($57.6M), United States ($28.7M), Poland ($12.7M), and Japan ($10.5M).
In 2019 the top imports of Goiana were Vehicle Parts ($56.5M), Spark-Ignition Engines ($40.6M), Seats ($31.7M), Carbonates ($10.7M), and Combustion Engines ($10.5M).
This section shows differences between total trade from Goiana 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 Goiana. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
Have questions, comments, or concerns?
Send us an e-mail: [email protected]