Várzea Da PalmaMunicipality in Minas Gerais State in Brazil
Exports (2019): $45.1M, Rnk 522/2197
Top Destination (2019): $11.1M, Japan
Top Export (2019): $23.7M, Ferroalloys
Imports (2019): $2.52M, Rnk 838/2197
Top Origin (2019): $1.28M, China
Top Import (2019): $826k, Carbon-based Electronics
Overview: This page contains the latest international trade data for Várzea da Palma, including export and import data.
Exports: In 2019, Brazil's Várzea Da Palma exported $45.1M, making it the 522nd largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Várzea Da Palma were Ferroalloys ($23.7M), Hydrogen ($17.8M), Wood Charcoal ($3.46M), Other Cast Iron Products ($80.6k), and Carbonates ($18.2k).
Imports: In 2019, Brazil's Várzea Da Palma imported $2.52M, making it the 838th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Várzea Da Palma were Carbon-based Electronics ($826k), Ferroalloys ($770k), Other Measuring Instruments ($216k), Alkaline Metals ($146k), and Metalworking Transfer Machines ($129k).
Top Destination (2019): Japan, $11.1M
Top Product (2019): Ferroalloys, $23.7M
In 2019 the top export destinations of Várzea Da Palma were Japan ($11.1M), United States ($9.87M), South Korea ($5.3M), Thailand ($4.08M), and Germany ($3.45M).
In 2019 the top exports of Várzea Da Palma were Ferroalloys ($23.7M), Hydrogen ($17.8M), Wood Charcoal ($3.46M), Other Cast Iron Products ($80.6k), and Carbonates ($18.2k).
Fastest Growing Exports Destination (July 2019 - July 2020)
Top Origin (2019): China, $1.28M
Top Import (2019): Carbon-based Electronics, $826k
In 2019 the top import origins of Várzea Da Palma were China ($1.28M), Russia ($690k), South Korea ($110k), Denmark ($74.2k), and Japan ($73.4k).
In 2019 the top imports of Várzea Da Palma were Carbon-based Electronics ($826k), Ferroalloys ($770k), Other Measuring Instruments ($216k), Alkaline Metals ($146k), and Metalworking Transfer Machines ($129k).
This section shows forecasts for total exports and imports from Várzea da Palma. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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