São Sebastião Da Grama

Municipality in São Paulo State in Brazil

Exports (2019): $1.17M, Rnk 1406/2197

Top Destination (2019): $435k, Hong Kong

Top Export (2019): $806k, Other Nuts

Imports (2019): $201k, Rnk 1361/2197

Top Origin (2019): $81.8k, Paraguay

Top Import (2019): $81.8k, Rice

Overview: This page contains the latest international trade data for São Sebastião da Grama, including export and import data.

Exports: In 2019, Brazil's São Sebastião Da Grama exported $1.17M, making it the 1406th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of São Sebastião Da Grama were Other Nuts ($806k), Coffee ($213k), and Special Pharmaceuticals ($151k).

Imports: In 2019, Brazil's São Sebastião Da Grama imported $201k, making it the 1361st largest importer out of the 2197 importers in Brazil. In 2019 top imports of São Sebastião Da Grama were Rice ($81.8k), Onions ($35.1k), Pure Olive Oil ($33.8k), Medical Instruments ($27.1k), and Non-Retail Synthetic Filament Yarn ($23.6k).

Yearly Exports

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Top Destination (2019): Hong Kong, $435k

Top Product (2019): Other Nuts, $806k

In 2019 the top export destinations of São Sebastião Da Grama were Hong Kong ($435k), Vietnam ($371k), United States ($149k), Belgium ($142k), and Australia ($55.5k).

In 2019 the top exports of São Sebastião Da Grama were Other Nuts ($806k), Coffee ($213k), and Special Pharmaceuticals ($151k).

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Yearly Imports

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Top Origin (2019): Paraguay, $81.8k

Top Import (2019): Rice, $81.8k

In 2019 the top import origins of São Sebastião Da Grama were Paraguay ($81.8k), Spain ($29.1k), Germany ($27.1k), Chile ($26.9k), and South Korea ($23.6k).

In 2019 the top imports of São Sebastião Da Grama were Rice ($81.8k), Onions ($35.1k), Pure Olive Oil ($33.8k), Medical Instruments ($27.1k), and Non-Retail Synthetic Filament Yarn ($23.6k).

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Comparison in Time

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This section shows differences between total trade from São Sebastião da Grama throughout time.

This section shows forecasts for total exports and imports from São Sebastião da Grama. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.

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