Lagoa Da PrataMunicipality in Minas Gerais State in Brazil
Exports (2019): $20M, Rnk 739/2197
Top Destination (2019): $4.2M, Saudi Arabia
Top Export (2019): $12.7M, Raw Sugar
Imports (2019): $13M, Rnk 495/2197
Top Origin (2019): $4.29M, China
Top Import (2019): N/A, N/A
Exports: In 2019, Brazil's Lagoa Da Prata exported $20M, making it the 739th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Lagoa Da Prata were Raw Sugar ($12.7M), Confectionery Sugar ($3.73M), Chocolate ($1.42M), Pig Iron ($1.38M), and Fireworks ($560k).
Imports: In 2019, Brazil's Lagoa Da Prata imported $13M, making it the 495th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Lagoa Da Prata were N/A.
Top Destination (2019): Saudi Arabia, $4.2M
Top Product (2019): Raw Sugar, $12.7M
In 2019 the top export destinations of Lagoa Da Prata were Saudi Arabia ($4.2M), China ($3.39M), Bangladesh ($1.5M), United States ($1.3M), and Chile ($1.24M).
In 2019 the top exports of Lagoa Da Prata were Raw Sugar ($12.7M), Confectionery Sugar ($3.73M), Chocolate ($1.42M), Pig Iron ($1.38M), and Fireworks ($560k).
Fastest Growing Exports Destination (May 2019 - May 2020)
Top Origin (2019): China, $4.29M
Top Import (2019): N/A, N/A
In 2019 the top import origins of Lagoa Da Prata were China ($4.29M), Germany ($2.79M), Argentina ($2.46M), India ($2.21M), and United States ($377k).
In 2019 the top imports of Lagoa Da Prata were N/A.
This section shows differences between total trade from Lagoa da Prata throughout time.
The 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)
This section shows forecasts for total exports and imports from Lagoa da Prata. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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