Varginha
Municipality in Minas Gerais State in Brazil
Exports: In 2019, Brazil's Varginha exported $1.09B, making it the 45th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Varginha were Coffee ($1.03B), Raw Cotton ($24.4M), Soybeans ($6M), Other Domestic Electric Housewares ($5.09M), and Silicates ($3.52M).
Imports: In 2019, Brazil's Varginha imported $373M, making it the 96th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Varginha were N/A.
Exports
#permalink to sectionIn 2019 the top export destinations of Varginha were Germany ($222M), United States ($185M), Italy ($119M), Japan ($68.8M), and Belgium ($50.1M).
In 2019 the top exports of Varginha were Coffee ($1.03B), Raw Cotton ($24.4M), Soybeans ($6M), Other Domestic Electric Housewares ($5.09M), and Silicates ($3.52M).
Export Dynamics
#permalink to sectionImports
#permalink to sectionTop Origin (2019): China, $134M
Top Import (2019): N/A, N/A
In 2019 the top import origins of Varginha were China ($134M), India ($42.2M), Russia ($40.8M), United States ($22.1M), and Germany ($17M).
In 2019 the top imports of Varginha were N/A.
Import Dynamics
#permalink to sectionFastest Growing Import Origins (May 2019 - May 2020)
- Argentina , $2.71M (12.7k%)
- Netherlands , $2.55M (426%)
- United States , $1.09M (68.8%)
Monthly trade
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from Varginha throughout time.
Comparison Map
#permalink to sectionThe municipalities of Brazil with the highest exports in 2019 were Rio De Janeiro ($11.3B), Duque De Caxias ($10.4B), Parauapebas ($7.02B), Canaã Dos Carajás ($4.93B), and São Paulo ($4.14B)
The municipalities of Brazil with the highest imports in 2019 were Manaus ($10.1B), São Paulo ($10.1B), Rio De Janeiro ($9.48B), Itajaí ($7.3B), and Macaé ($5.31B)
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Varginha. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
