Montes ClarosMunicipality in Minas Gerais State in Brazil
Exports (2019): $253M, Rnk 157/2197
Top Destination (2019): $130M, Denmark
Top Export (2019): $185M, Packaged Medicaments
Imports (2019): $132M, Rnk 178/2197
Top Origin (2019): $54M, Denmark
Top Import (2019): $53.4M, Hormones
Overview: This page contains the latest international trade data for Montes Claros, including export and import data.
Exports: In 2019, Brazil's Montes Claros exported $253M, making it the 157th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Montes Claros were Packaged Medicaments ($185M), Soybean Meal ($14.9M), Rubber Footwear ($14.2M), Soybeans ($12.5M), and Coffee and Tea Extracts ($5.64M).
Imports: In 2019, Brazil's Montes Claros imported $132M, making it the 178th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Montes Claros were Hormones ($53.4M), Electric Motors ($15.3M), Pharmaceutical Rubber Products ($5.49M), Insulated Wire ($5.22M), and Metal Stoppers ($4.93M).
Top Destination (2019): Denmark, $130M
Top Product (2019): Packaged Medicaments, $185M
In 2019 the top export destinations of Montes Claros were Denmark ($130M), Argentina ($15.2M), India ($12.6M), Australia ($10.1M), and Turkey ($9.21M).
In 2019 the top exports of Montes Claros were Packaged Medicaments ($185M), Soybean Meal ($14.9M), Rubber Footwear ($14.2M), Soybeans ($12.5M), and Coffee and Tea Extracts ($5.64M).
In 2019 the top import origins of Montes Claros were Denmark ($54M), China ($33.6M), Germany ($10.3M), Italy ($7.54M), and France ($6.55M).
In 2019 the top imports of Montes Claros were Hormones ($53.4M), Electric Motors ($15.3M), Pharmaceutical Rubber Products ($5.49M), Insulated Wire ($5.22M), and Metal Stoppers ($4.93M).
Fastest Growing Import Origins (Sep 2019 - Sep 2020)
Rapidly Declining Import Origins (Sep 2019 - Sep 2020)
This section shows differences between total trade from Montes Claros throughout time.
This section shows forecasts for total exports and imports from Montes Claros. 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