ParnamirimMunicipality in Rio Grande do Norte State in Brazil
Exports (2019): $7.08M, Rnk 1005/2197
Top Destination (2019): $4.31M, Colombia
Top Export (2019): $6.24M, Other Plastic Sheetings
Imports (2019): $25.9M, Rnk 379/2197
Top Origin (2019): $4.98M, United States
Top Import (2019): $11.8M, Ethylene Polymers
Overview: This page contains the latest international trade data for Parnamirim, including export and import data.
Exports: In 2019, Brazil's Parnamirim exported $7.08M, making it the 1005th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Parnamirim were Other Plastic Sheetings ($6.24M), Plastic Lids ($416k), Manganese Ore ($149k), Motor-working Tools ($51.2k), and Large Construction Vehicles ($50k).
Imports: In 2019, Brazil's Parnamirim imported $25.9M, making it the 379th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Parnamirim were Ethylene Polymers ($11.8M), Aluminium Foil ($2.95M), Pure Olive Oil ($1.6M), Raw Plastic Sheeting ($1.24M), and Industrial Food Preperation Machinery ($1.02M).
Top Destination (2019): Colombia, $4.31M
Top Product (2019): Other Plastic Sheetings, $6.24M
In 2019 the top export destinations of Parnamirim were Colombia ($4.31M), Mexico ($1.48M), United States ($421k), Argentina ($400k), and Italy ($152k).
In 2019 the top exports of Parnamirim were Other Plastic Sheetings ($6.24M), Plastic Lids ($416k), Manganese Ore ($149k), Motor-working Tools ($51.2k), and Large Construction Vehicles ($50k).
Top Origin (2019): United States, $4.98M
Top Import (2019): Ethylene Polymers, $11.8M
In 2019 the top import origins of Parnamirim were United States ($4.98M), Argentina ($3.98M), Netherlands ($3.68M), China ($3.02M), and Germany ($2.56M).
In 2019 the top imports of Parnamirim were Ethylene Polymers ($11.8M), Aluminium Foil ($2.95M), Pure Olive Oil ($1.6M), Raw Plastic Sheeting ($1.24M), and Industrial Food Preperation Machinery ($1.02M).
This section shows forecasts for total exports and imports from Parnamirim. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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