MaríliaMunicipality in São Paulo State in Brazil
Exports (2019): $35.8M, Rnk 591/2197
Top Destination (2019): $7.01M, United States
Top Export (2019): $8.84M, Confectionery Sugar
Imports (2019): $30.1M, Rnk 354/2197
Top Origin (2019): $6.71M, Chile
Top Import (2019): N/A, N/A
Exports: In 2019, Brazil's Marília exported $35.8M, making it the 591st largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Marília were Confectionery Sugar ($8.84M), Baked Goods ($6.61M), Other Sugars ($3.63M), Ground Nuts ($3.34M), and Other Processed Fruits and Nuts ($3.16M).
Imports: In 2019, Brazil's Marília imported $30.1M, making it the 354th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Marília were N/A.
Top Destination (2019): United States, $7.01M
Top Product (2019): Confectionery Sugar, $8.84M
In 2019 the top export destinations of Marília were United States ($7.01M), Canada ($3.09M), Uruguay ($2.96M), Dominican Republic ($2.79M), and Chile ($1.97M).
In 2019 the top exports of Marília were Confectionery Sugar ($8.84M), Baked Goods ($6.61M), Other Sugars ($3.63M), Ground Nuts ($3.34M), and Other Processed Fruits and Nuts ($3.16M).
Fastest Growing Exports Destination (May 2019 - May 2020)
Rapidly Declining Export Origins (May 2019 - May 2020)
Top Origin (2019): Chile, $6.71M
Top Import (2019): N/A, N/A
In 2019 the top import origins of Marília were Chile ($6.71M), Argentina ($3.77M), China ($3.62M), Italy ($3.26M), and United States ($3.13M).
In 2019 the top imports of Marília were N/A.
This section shows differences between total trade from Marília 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 Marília. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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