Massaranduba

Municipality in Santa Catarina State in Brazil

Exports (2019): $2.61M, Rnk 1231/2197

Top Destination (2019): $535k, Argentina

Top Export (2019): $643k, Tractors

Imports (2019): $1.2M, Rnk 1022/2197

Top Origin (2019): $1.17M, China

Top Import (2019): $446k, Nitrile Compounds

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

Exports: In 2019, Brazil's Massaranduba exported $2.61M, making it the 1231st largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Massaranduba were Tractors ($643k), Electrical Transformers ($519k), Bananas ($476k), Refrigerators ($186k), and Pesticides ($182k).

Imports: In 2019, Brazil's Massaranduba imported $1.2M, making it the 1022nd largest importer out of the 2197 importers in Brazil. In 2019 top imports of Massaranduba were Nitrile Compounds ($446k), Nitrogen Heterocyclic Compounds ($174k), Nucleic Acids ($127k), Pesticides ($96.7k), and Non-woven Textiles ($63.3k).

Yearly Exports

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Top Destination (2019): Argentina, $535k

Top Product (2019): Tractors, $643k

In 2019 the top export destinations of Massaranduba were Argentina ($535k), Bolivia ($356k), Panama ($327k), Paraguay ($293k), and Colombia ($288k).

In 2019 the top exports of Massaranduba were Tractors ($643k), Electrical Transformers ($519k), Bananas ($476k), Refrigerators ($186k), and Pesticides ($182k).

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Yearly Imports

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Top Origin (2019): China, $1.17M

Top Import (2019): Nitrile Compounds, $446k

In 2019 the top import origins of Massaranduba were China ($1.17M), Poland ($24k), United States ($1.68k), and Czechia ($1.56k).

In 2019 the top imports of Massaranduba were Nitrile Compounds ($446k), Nitrogen Heterocyclic Compounds ($174k), Nucleic Acids ($127k), Pesticides ($96.7k), and Non-woven Textiles ($63.3k).

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Comparison in Time

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

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

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