Itarema

Municipality in Ceará State in Brazil

Exports (2019): $18.3M, Rnk 764/2197

Top Destination (2019): $7M, United States

Top Export (2019): $17.5M, Waxes

Imports (2019): $791k, Rnk 1108/2197

Top Origin (2019): $278k, China

Top Import (2019): $239k, Electric Motor Parts

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

Exports: In 2019, Brazil's Itarema exported $18.3M, making it the 764th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Itarema were Waxes ($17.5M), Non-fillet Frozen Fish ($360k), Fish Fillets ($310k), Animal or Vegetable Fertilizers ($50.2k), and Non-fillet Fresh Fish ($43.8k).

Imports: In 2019, Brazil's Itarema imported $791k, making it the 1108th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Itarema were Electric Motor Parts ($239k), Processed Fish ($192k), Molluscs ($78.8k), Low-voltage Protection Equipment ($54.1k), and Other Iron Products ($37.2k).

Yearly Exports

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Top Destination (2019): United States, $7M

Top Product (2019): Waxes, $17.5M

In 2019 the top export destinations of Itarema were United States ($7M), China ($1.99M), Germany ($1.88M), Japan ($1.83M), and Netherlands ($1.5M).

In 2019 the top exports of Itarema were Waxes ($17.5M), Non-fillet Frozen Fish ($360k), Fish Fillets ($310k), Animal or Vegetable Fertilizers ($50.2k), and Non-fillet Fresh Fish ($43.8k).

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Yearly Imports

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Top Origin (2019): China, $278k

Top Import (2019): Electric Motor Parts, $239k

In 2019 the top import origins of Itarema were China ($278k), Norway ($192k), Spain ($87.5k), Ecuador ($78.8k), and Germany ($50.1k).

In 2019 the top imports of Itarema were Electric Motor Parts ($239k), Processed Fish ($192k), Molluscs ($78.8k), Low-voltage Protection Equipment ($54.1k), and Other Iron Products ($37.2k).

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Comparison in Time

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

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

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