MontenegroMunicipality in Rio Grande do Sul State in Brazil
Exports (2019): $204M, Rnk 194/2197
Top Destination (2019): $50M, Argentina
Top Export (2019): $51.7M, Tractors
Imports (2019): $291M, Rnk 115/2197
Top Origin (2019): $117M, United States
Top Import (2019): $110M, Vehicle Parts
Overview: This page contains the latest international trade data for Montenegro, including export and import data.
Exports: In 2019, Brazil's Montenegro exported $204M, making it the 194th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Montenegro were Tractors ($51.7M), Raw Plastic Sheeting ($33M), Vegetable Tanning Extracts ($24.9M), Preserved Meat ($19M), and Leather of Other Animals ($16.2M).
Imports: In 2019, Brazil's Montenegro imported $291M, making it the 115th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Montenegro were Vehicle Parts ($110M), Combustion Engines ($64.9M), Valves ($15.9M), Propylene Polymers ($13.3M), and Thermostats ($7.13M).
In 2019 the top export destinations of Montenegro were Argentina ($50M), Paraguay ($20.7M), Netherlands ($17.8M), United States ($17.6M), and Uruguay ($12.1M).
In 2019 the top exports of Montenegro were Tractors ($51.7M), Raw Plastic Sheeting ($33M), Vegetable Tanning Extracts ($24.9M), Preserved Meat ($19M), and Leather of Other Animals ($16.2M).
Fastest Growing Exports Destination (July 2019 - July 2020)
Rapidly Declining Export Origins (July 2019 - July 2020)
Top Origin (2019): United States, $117M
Top Import (2019): Vehicle Parts, $110M
In 2019 the top import origins of Montenegro were United States ($117M), Argentina ($58.1M), Germany ($43.2M), India ($17.4M), and France ($7.93M).
In 2019 the top imports of Montenegro were Vehicle Parts ($110M), Combustion Engines ($64.9M), Valves ($15.9M), Propylene Polymers ($13.3M), and Thermostats ($7.13M).
This section shows differences between total trade from Montenegro throughout time.
This section shows forecasts for total exports and imports from Montenegro. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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