Itaiópolis

Municipality in Santa Catarina State in Brazil

Exports (2019): $39.2M, Rnk 564/2197

Top Destination (2019): $12M, Japan

Top Export (2019): $33.1M, Poultry Meat

Imports (2019): $189k, Rnk 1371/2197

Top Origin (2019): $122k, China

Top Import (2019): $64.5k, Electric Motors

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

Exports: In 2019, Brazil's Itaiópolis exported $39.2M, making it the 564th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Itaiópolis were Poultry Meat ($33.1M), Refrigerators ($4.41M), Animal Meal and Pellets ($640k), Animal Food ($508k), and Rough Wood ($444k).

Imports: In 2019, Brazil's Itaiópolis imported $189k, making it the 1371st largest importer out of the 2197 importers in Brazil. In 2019 top imports of Itaiópolis were Electric Motors ($64.5k), Copper Pipes ($62.2k), Other Small Iron Pipes ($42.8k), Carbon-based Electronics ($5.4k), and Electric Heaters ($3.45k).

Yearly Exports

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Top Destination (2019): Japan, $12M

Top Product (2019): Poultry Meat, $33.1M

In 2019 the top export destinations of Itaiópolis were Japan ($12M), Chile ($11.5M), Hong Kong ($5.2M), Singapore ($4.86M), and United States ($3.72M).

In 2019 the top exports of Itaiópolis were Poultry Meat ($33.1M), Refrigerators ($4.41M), Animal Meal and Pellets ($640k), Animal Food ($508k), and Rough Wood ($444k).

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Yearly Imports

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Top Origin (2019): China, $122k

Top Import (2019): Electric Motors, $64.5k

In 2019 the top import origins of Itaiópolis were China ($122k), Vietnam ($53.2k), United States ($10.7k), Italy ($1.4k), and France ($1.09k).

In 2019 the top imports of Itaiópolis were Electric Motors ($64.5k), Copper Pipes ($62.2k), Other Small Iron Pipes ($42.8k), Carbon-based Electronics ($5.4k), and Electric Heaters ($3.45k).

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Comparison in Time

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

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

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