Cachoeiro De ItapemirimMunicipality in Espírito Santo State in Brazil
Exports (2019): $203M, Rnk 195/2197
Top Destination (2019): $141M, United States
Top Export (2019): $176M, Building Stone
Imports (2019): $22.7M, Rnk 400/2197
Top Origin (2019): $8.29M, Italy
Top Import (2019): $13.7M, Milling Stones
Overview: This page contains the latest international trade data for Cachoeiro de Itapemirim, including export and import data.
Exports: In 2019, Brazil's Cachoeiro De Itapemirim exported $203M, making it the 195th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Cachoeiro De Itapemirim were Building Stone ($176M), Granite ($10.1M), Quartz ($7.06M), Marble, Travertine and Alabaster ($3.88M), and Spices ($2.58M).
Imports: In 2019, Brazil's Cachoeiro De Itapemirim imported $22.7M, making it the 400th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Cachoeiro De Itapemirim were Milling Stones ($13.7M), Polyacetals ($2.6M), Propylene Polymers ($1.4M), Prepr binder for foundry ($1.17M), and Stone Working Machines ($597k).
Top Destination (2019): United States, $141M
Top Product (2019): Building Stone, $176M
In 2019 the top export destinations of Cachoeiro De Itapemirim were United States ($141M), China ($13.5M), Italy ($8M), Mexico ($6.66M), and Canada ($4.07M).
In 2019 the top exports of Cachoeiro De Itapemirim were Building Stone ($176M), Granite ($10.1M), Quartz ($7.06M), Marble, Travertine and Alabaster ($3.88M), and Spices ($2.58M).
Top Origin (2019): Italy, $8.29M
Top Import (2019): Milling Stones, $13.7M
In 2019 the top import origins of Cachoeiro De Itapemirim were Italy ($8.29M), China ($7.77M), Portugal ($3.24M), Argentina ($1.41M), and Ireland ($379k).
In 2019 the top imports of Cachoeiro De Itapemirim were Milling Stones ($13.7M), Polyacetals ($2.6M), Propylene Polymers ($1.4M), Prepr binder for foundry ($1.17M), and Stone Working Machines ($597k).
This section shows forecasts for total exports and imports from Cachoeiro de Itapemirim. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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