Pará De MinasMunicipality in Minas Gerais State in Brazil
Exports (2019): $52.5M, Rnk 484/2197
Top Destination (2019): $13.2M, Netherlands
Top Export (2019): $50.1M, Pig Iron
Imports (2019): $20M, Rnk 422/2197
Top Origin (2019): N/A, N/A
Top Import (2019): $3.89M, Synthetic Rubber
Overview: This page contains the latest international trade data for Pará de Minas, including export and import data.
Exports: In 2019, Brazil's Pará De Minas exported $52.5M, making it the 484th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Pará De Minas were Pig Iron ($50.1M), Cheese ($1.58M), Other Mineral ($401k), Vinyl Chloride Polymers ($115k), and Reclaimed Rubber ($114k).
Imports: In 2019, Brazil's Pará De Minas imported $20M, making it the 422nd largest importer out of the 2197 importers in Brazil. In 2019 top imports of Pará De Minas were Synthetic Rubber ($3.89M), Acrylic Polymers ($3.76M), Vinyl Chloride Polymers ($3.62M), Compounded Unvulcanised Rubber ($3.39M), and Electric Motors ($1.34M).
Top Destination (2019): Netherlands, $13.2M
Top Product (2019): Pig Iron, $50.1M
In 2019 the top export destinations of Pará De Minas were Netherlands ($13.2M), United States ($9.35M), Taiwan ($8.02M), Turkey ($5.58M), and China ($3.51M).
In 2019 the top exports of Pará De Minas were Pig Iron ($50.1M), Cheese ($1.58M), Other Mineral ($401k), Vinyl Chloride Polymers ($115k), and Reclaimed Rubber ($114k).
Top Origin (2019): N/A, N/A
Top Import (2019): Synthetic Rubber, $3.89M
In 2019 the top import origins of Pará De Minas were N/A.
In 2019 the top imports of Pará De Minas were Synthetic Rubber ($3.89M), Acrylic Polymers ($3.76M), Vinyl Chloride Polymers ($3.62M), Compounded Unvulcanised Rubber ($3.39M), and Electric Motors ($1.34M).
Fastest Growing Import Origins (Sep 2019 - Sep 2020)
Rapidly Declining Import Origins (Sep 2019 - Sep 2020)
This section shows differences between total trade from Pará de Minas throughout time.
This section shows forecasts for total exports and imports from Pará de Minas. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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