Dores De CamposMunicipality in Minas Gerais State in Brazil
Exports (2019): $2.01M, Rnk 1285/2197
Top Destination (2019): $695k, Uruguay
Top Export (2019): $1.77M, Leather Footwear
Imports (2019): $5.29M, Rnk 684/2197
Top Origin (2019): $3.15M, Italy
Top Import (2019): $1.51M, Amino-resins
Overview: This page contains the latest international trade data for Dores de Campos, including export and import data.
Exports: In 2019, Brazil's Dores De Campos exported $2.01M, making it the 1285th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Dores De Campos were Leather Footwear ($1.77M), Other Footwear ($222k), Waterproof Footwear ($6.16k), Footwear Parts ($2.64k), and Trunks and Cases ($2.58k).
Imports: In 2019, Brazil's Dores De Campos imported $5.29M, making it the 684th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Dores De Campos were Amino-resins ($1.51M), Polyacetals ($1.35M), Other Plastic Sheetings ($768k), Plastic Coated Textile Fabric ($339k), and Footwear Parts ($297k).
Top Destination (2019): Uruguay, $695k
Top Product (2019): Leather Footwear, $1.77M
In 2019 the top export destinations of Dores De Campos were Uruguay ($695k), Ecuador ($505k), Costa Rica ($188k), Colombia ($177k), and Honduras ($138k).
In 2019 the top exports of Dores De Campos were Leather Footwear ($1.77M), Other Footwear ($222k), Waterproof Footwear ($6.16k), Footwear Parts ($2.64k), and Trunks and Cases ($2.58k).
Top Origin (2019): Italy, $3.15M
Top Import (2019): Amino-resins, $1.51M
In 2019 the top import origins of Dores De Campos were Italy ($3.15M), Hong Kong ($921k), China ($829k), France ($137k), and Chile ($69.8k).
In 2019 the top imports of Dores De Campos were Amino-resins ($1.51M), Polyacetals ($1.35M), Other Plastic Sheetings ($768k), Plastic Coated Textile Fabric ($339k), and Footwear Parts ($297k).
This section shows differences between total trade from Dores de Campos throughout time.
This section shows forecasts for total exports and imports from Dores de Campos. 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]