São Pedro

Municipality in São Paulo State in Brazil

Exports (2019): $2.35k, Rnk 2137/2197

Top Destination (2019): $2.01k, Mexico

Top Export (2019): $2.01k, Other Rubber Products

Imports (2019): $5.19M, Rnk 691/2197

Top Origin (2019): $3.99M, South Korea

Top Import (2019): $1.49M, Rubberworking Machinery

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

Exports: In 2019, Brazil's São Pedro exported $2.35k, making it the 2137th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of São Pedro were Other Rubber Products ($2.01k), Microphones and Headphones ($316), Oscilloscopes ($20), and Insulated Wire ($0).

Imports: In 2019, Brazil's São Pedro imported $5.19M, making it the 691st largest importer out of the 2197 importers in Brazil. In 2019 top imports of São Pedro were Rubberworking Machinery ($1.49M), Flat-Rolled Stainless Steel ($643k), Other Rubber Products ($579k), Compounded Unvulcanised Rubber ($522k), and Rubber Sheets ($485k).

Yearly Exports

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Top Destination (2019): Mexico, $2.01k

Top Product (2019): Other Rubber Products, $2.01k

In 2019 the top export destinations of São Pedro were Mexico ($2.01k) and Spain ($336).

In 2019 the top exports of São Pedro were Other Rubber Products ($2.01k), Microphones and Headphones ($316), Oscilloscopes ($20), and Insulated Wire ($0).

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Yearly Imports

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Top Origin (2019): South Korea, $3.99M

Top Import (2019): Rubberworking Machinery, $1.49M

In 2019 the top import origins of São Pedro were South Korea ($3.99M), United States ($631k), Japan ($322k), China ($125k), and United Kingdom ($111k).

In 2019 the top imports of São Pedro were Rubberworking Machinery ($1.49M), Flat-Rolled Stainless Steel ($643k), Other Rubber Products ($579k), Compounded Unvulcanised Rubber ($522k), and Rubber Sheets ($485k).

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Comparison in Time

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This section shows differences between total trade from São Pedro throughout time.

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

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