Marialva

Municipality in Paraná State in Brazil

Exports (2019): $87.8M, Rnk 367/2197

Top Destination (2019): $18M, China

Top Export (2019): $56.6M, Raw Sugar

Imports (2019): $20.5M, Rnk 418/2197

Top Origin (2019): $10.8M, Chile

Top Import (2019): $10.9M, Acyclic Alcohols

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

Exports: In 2019, Brazil's Marialva exported $87.8M, making it the 367th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Marialva were Raw Sugar ($56.6M), Soybeans ($14.9M), Corn ($4.91M), Soil Preparation Machinery ($3.61M), and Glycerol ($2.73M).

Imports: In 2019, Brazil's Marialva imported $20.5M, making it the 418th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Marialva were Acyclic Alcohols ($10.9M), Raw Plastic Sheeting ($5.34M), Industrial Printers ($1.92M), Carboxyimide Compounds ($410k), and Vehicle Parts ($274k).

Yearly Exports

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Top Destination (2019): China, $18M

Top Product (2019): Raw Sugar, $56.6M

In 2019 the top export destinations of Marialva were China ($18M), Iraq ($18M), Algeria ($15.9M), Canada ($9.94M), and Paraguay ($4.64M).

In 2019 the top exports of Marialva were Raw Sugar ($56.6M), Soybeans ($14.9M), Corn ($4.91M), Soil Preparation Machinery ($3.61M), and Glycerol ($2.73M).

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Yearly Imports

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Value
Depth

Top Origin (2019): Chile, $10.8M

Top Import (2019): Acyclic Alcohols, $10.9M

In 2019 the top import origins of Marialva were Chile ($10.8M), Uruguay ($3.89M), China ($2.65M), Italy ($1.81M), and United States ($422k).

In 2019 the top imports of Marialva were Acyclic Alcohols ($10.9M), Raw Plastic Sheeting ($5.34M), Industrial Printers ($1.92M), Carboxyimide Compounds ($410k), and Vehicle Parts ($274k).

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Comparison in Time

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

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

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