Ribeirão Das NevesMunicipality in Minas Gerais State in Brazil
Exports (2019): $7.39M, Rnk 993/2197
Top Destination (2019): $4.31M, United States
Top Export (2019): $5.58M, Malt Extract
Imports (2019): $41.1M, Rnk 304/2197
Top Origin (2019): $12M, China
Top Import (2019): $10.5M, Rice
Overview: This page contains the latest international trade data for Ribeirão das Neves, including export and import data.
Exports: In 2019, Brazil's Ribeirão Das Neves exported $7.39M, making it the 993rd largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Ribeirão Das Neves were Malt Extract ($5.58M), Seats ($903k), Baked Goods ($472k), Other Furniture ($287k), and Other knitted or crocheted fabrics. ($124k).
Imports: In 2019, Brazil's Ribeirão Das Neves imported $41.1M, making it the 304th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Ribeirão Das Neves were Rice ($10.5M), Non-Retail Synthetic Filament Yarn ($7.5M), Non-fillet Fresh Fish ($7.24M), Vinyl Chloride Polymers ($1.81M), and Non-Retail Synthetic Staple Fibers Yarn ($1.32M).
Top Destination (2019): United States, $4.31M
Top Product (2019): Malt Extract, $5.58M
In 2019 the top export destinations of Ribeirão Das Neves were United States ($4.31M), Portugal ($1.77M), Chile ($250k), Colombia ($205k), and Peru ($185k).
In 2019 the top exports of Ribeirão Das Neves were Malt Extract ($5.58M), Seats ($903k), Baked Goods ($472k), Other Furniture ($287k), and Other knitted or crocheted fabrics. ($124k).
In 2019 the top import origins of Ribeirão Das Neves were China ($12M), Paraguay ($10.5M), Chile ($7.48M), India ($2.05M), and Colombia ($1.86M).
In 2019 the top imports of Ribeirão Das Neves were Rice ($10.5M), Non-Retail Synthetic Filament Yarn ($7.5M), Non-fillet Fresh Fish ($7.24M), Vinyl Chloride Polymers ($1.81M), and Non-Retail Synthetic Staple Fibers Yarn ($1.32M).
This section shows differences between total trade from Ribeirão das Neves throughout time.
This section shows forecasts for total exports and imports from Ribeirão das Neves. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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