Nova SerranaMunicipality in Minas Gerais State in Brazil
Exports (2019): $10.4M, Rnk 909/2197
Top Destination (2019): $8.93M, Argentina
Top Export (2019): $5.02M, Textile Footwear
Imports (2019): $4.48M, Rnk 720/2197
Top Origin (2019): $1.37M, China
Top Import (2019): $1.13M, Vinyl Chloride Polymers
Overview: This page contains the latest international trade data for Nova Serrana, including export and import data.
Exports: In 2019, Brazil's Nova Serrana exported $10.4M, making it the 909th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Nova Serrana were Textile Footwear ($5.02M), Rubber Footwear ($4.95M), Leather Footwear ($240k), Footwear Parts ($70.4k), and Malt Extract ($50.4k).
Imports: In 2019, Brazil's Nova Serrana imported $4.48M, making it the 720th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Nova Serrana were Vinyl Chloride Polymers ($1.13M), Synthetic Rubber ($934k), Semiconductor Devices ($801k), Acrylic Polymers ($738k), and Other Metal Fasteners ($158k).
Top Destination (2019): Argentina, $8.93M
Top Product (2019): Textile Footwear, $5.02M
In 2019 the top export destinations of Nova Serrana were Argentina ($8.93M), Ecuador ($689k), Colombia ($229k), Uruguay ($131k), and Bolivia ($89.9k).
In 2019 the top exports of Nova Serrana were Textile Footwear ($5.02M), Rubber Footwear ($4.95M), Leather Footwear ($240k), Footwear Parts ($70.4k), and Malt Extract ($50.4k).
Top Origin (2019): China, $1.37M
Top Import (2019): Vinyl Chloride Polymers, $1.13M
In 2019 the top import origins of Nova Serrana were China ($1.37M), Colombia ($1.09M), Taiwan ($1.05M), Sweden ($714k), and Hong Kong ($87.6k).
In 2019 the top imports of Nova Serrana were Vinyl Chloride Polymers ($1.13M), Synthetic Rubber ($934k), Semiconductor Devices ($801k), Acrylic Polymers ($738k), and Other Metal Fasteners ($158k).
This section shows differences between total trade from Nova Serrana throughout time.
This section shows forecasts for total exports and imports from Nova Serrana. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
Have questions, comments, or concerns?
Send us an e-mail: [email protected]
v4.0.2 ant