Jaboatão Dos GuararapesMunicipality in Pernambuco State in Brazil
Exports (2019): $10.5M, Rnk 903/2197
Top Destination (2019): $2.71M, United States
Top Export (2019): $2.36M, Batteries
Imports (2019): $223M, Rnk 131/2197
Top Origin (2019): $90M, China
Top Import (2019): $46M, Rubber Tires
Overview: This page contains the latest international trade data for Jaboatão dos Guararapes, including export and import data.
Exports: In 2019, Brazil's Jaboatão Dos Guararapes exported $10.5M, making it the 903rd largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Jaboatão Dos Guararapes were Batteries ($2.36M), Non-fillet Fresh Fish ($1.81M), Coffee ($1.71M), Propylene Polymers ($850k), and Baked Goods ($850k).
Imports: In 2019, Brazil's Jaboatão Dos Guararapes imported $223M, making it the 131st largest importer out of the 2197 importers in Brazil. In 2019 top imports of Jaboatão Dos Guararapes were Rubber Tires ($46M), Coated Flat-Rolled Iron ($14.9M), Cleaning Products ($9.67M), Cheese ($9.23M), and Valves ($7.76M).
Top Destination (2019): United States, $2.71M
Top Product (2019): Batteries, $2.36M
In 2019 the top export destinations of Jaboatão Dos Guararapes were United States ($2.71M), Bolivia ($1.45M), Germany ($1.27M), Paraguay ($873k), and Argentina ($857k).
In 2019 the top exports of Jaboatão Dos Guararapes were Batteries ($2.36M), Non-fillet Fresh Fish ($1.81M), Coffee ($1.71M), Propylene Polymers ($850k), and Baked Goods ($850k).
Top Origin (2019): China, $90M
Top Import (2019): Rubber Tires, $46M
In 2019 the top import origins of Jaboatão Dos Guararapes were China ($90M), India ($16.9M), United States ($14.9M), Mexico ($12.6M), and Argentina ($12M).
In 2019 the top imports of Jaboatão Dos Guararapes were Rubber Tires ($46M), Coated Flat-Rolled Iron ($14.9M), Cleaning Products ($9.67M), Cheese ($9.23M), and Valves ($7.76M).
Fastest Growing Import Origins (Sep 2019 - Sep 2020)
This section shows forecasts for total exports and imports from Jaboatão dos Guararapes. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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