Exports (2019): $110M, Rnk 296/2197
Top Destination (2019): $92.4M, China
Top Export (2019): $80.2M, Dissolving Grades Chemical Woodpulp
Imports (2019): $5.28M, Rnk 686/2197
Top Origin (2019): $3.08M, United States
Top Import (2019): $2.81M, Sodium or Potassium Peroxides
Overview: This page contains the latest international trade data for Almeirim, including export and import data.
Exports: In 2019, Brazil's Almeirim exported $110M, making it the 296th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Almeirim were Dissolving Grades Chemical Woodpulp ($80.2M), Kaolin ($17.6M), Soybeans ($12.2M), and Packing Bags ($74.2k).
Imports: In 2019, Brazil's Almeirim imported $5.28M, making it the 686th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Almeirim were Sodium or Potassium Peroxides ($2.81M), Phosphinates and Phosphonates ($790k), Dithionites and Sulfoxylates ($636k), Cleaning Products ($471k), and Sulfates ($196k).
Top Destination (2019): China, $92.4M
Top Product (2019): Dissolving Grades Chemical Woodpulp, $80.2M
In 2019 the top export destinations of Almeirim were China ($92.4M), Belgium ($7.93M), Italy ($6.73M), Spain ($3.02M), and United States ($54).
In 2019 the top exports of Almeirim were Dissolving Grades Chemical Woodpulp ($80.2M), Kaolin ($17.6M), Soybeans ($12.2M), and Packing Bags ($74.2k).
Top Origin (2019): United States, $3.08M
Top Import (2019): Sodium or Potassium Peroxides, $2.81M
In 2019 the top import origins of Almeirim were United States ($3.08M), China ($1.31M), Germany ($683k), India ($196k), and Denmark ($4.39k).
In 2019 the top imports of Almeirim were Sodium or Potassium Peroxides ($2.81M), Phosphinates and Phosphonates ($790k), Dithionites and Sulfoxylates ($636k), Cleaning Products ($471k), and Sulfates ($196k).
This section shows differences between total trade from Almeirim throughout time.
This section shows forecasts for total exports and imports from Almeirim. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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