Pradópolis

Municipality in São Paulo State in Brazil

Exports (2019): $219M, Rnk 179/2197

Top Destination (2019): $58.9M, United States

Top Export (2019): $160M, Raw Sugar

Imports (2019): $566k, Rnk 1186/2197

Top Origin (2019): $207k, United States

Top Import (2019): $209k, Centrifuges

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

Exports: In 2019, Brazil's Pradópolis exported $219M, making it the 179th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Pradópolis were Raw Sugar ($160M), Alcohol > 80% ABV ($40.5M), Cyclic Alcohols ($7.5M), Acyclic Hydrocarbons ($7.16M), and Glycosides ($4.23M).

Imports: In 2019, Brazil's Pradópolis imported $566k, making it the 1186th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Pradópolis were Centrifuges ($209k), Acyclic Hydrocarbons ($195k), Liquid Pumps ($142k), Oxygen Amino Compounds ($7.14k), and Polymer Ion-Exchangers ($6.53k).

Yearly Exports

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Top Destination (2019): United States, $58.9M

Top Product (2019): Raw Sugar, $160M

In 2019 the top export destinations of Pradópolis were United States ($58.9M), Algeria ($30.1M), India ($26.3M), Saudi Arabia ($20.3M), and Bangladesh ($19.1M).

In 2019 the top exports of Pradópolis were Raw Sugar ($160M), Alcohol > 80% ABV ($40.5M), Cyclic Alcohols ($7.5M), Acyclic Hydrocarbons ($7.16M), and Glycosides ($4.23M).

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Yearly Imports

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Top Origin (2019): United States, $207k

Top Import (2019): Centrifuges, $209k

In 2019 the top import origins of Pradópolis were United States ($207k), Spain ($195k), Poland ($153k), and China ($9.98k).

In 2019 the top imports of Pradópolis were Centrifuges ($209k), Acyclic Hydrocarbons ($195k), Liquid Pumps ($142k), Oxygen Amino Compounds ($7.14k), and Polymer Ion-Exchangers ($6.53k).

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Comparison in Time

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This section shows differences between total trade from Pradópolis throughout time.

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

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