Luís Eduardo MagalhãesMunicipality in Bahia State in Brazil
Exports (2019): $1.13B, Rnk 42/2197
Top Destination (2019): $592M, China
Top Export (2019): N/A, N/A
Imports (2019): $43.6M, Rnk 295/2197
Top Origin (2019): $14.9M, China
Top Import (2019): $17M, Pesticides
Exports: In 2019, Brazil's Luís Eduardo Magalhães exported $1.13B, making it the 42nd largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Luís Eduardo Magalhães were N/A.
Imports: In 2019, Brazil's Luís Eduardo Magalhães imported $43.6M, making it the 295th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Luís Eduardo Magalhães were Pesticides ($17M), Potassic Fertilizers ($6.36M), Planes, Helicopters, and/or Spacecraft ($5.84M), Phosphatic Fertilizers ($3.57M), and Sulphur ($3.49M).
Top Destination (2019): China, $592M
Top Product (2019): N/A, N/A
In 2019 the top export destinations of Luís Eduardo Magalhães were China ($592M), France ($113M), Germany ($96.6M), South Korea ($65.3M), and Portugal ($43.3M).
In 2019 the top exports of Luís Eduardo Magalhães were N/A.
Top Origin (2019): China, $14.9M
Top Import (2019): Pesticides, $17M
In 2019 the top import origins of Luís Eduardo Magalhães were China ($14.9M), Israel ($8.34M), United States ($6.15M), Russia ($5.66M), and India ($2.48M).
In 2019 the top imports of Luís Eduardo Magalhães were Pesticides ($17M), Potassic Fertilizers ($6.36M), Planes, Helicopters, and/or Spacecraft ($5.84M), Phosphatic Fertilizers ($3.57M), and Sulphur ($3.49M).
This section shows differences between total trade from Luís Eduardo Magalhães 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 Luís Eduardo Magalhães. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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