ItapemirimMunicipality in Espírito Santo State in Brazil
Exports (2019): $20.7M, Rnk 731/2197
Top Destination (2019): $18.7M, United States
Top Export (2019): $14.3M, Building Stone
Imports (2019): $1.66M, Rnk 934/2197
Top Origin (2019): $1.01M, China
Top Import (2019): $1.23M, Milling Stones
Overview: This page contains the latest international trade data for Itapemirim, including export and import data.
Exports: In 2019, Brazil's Itapemirim exported $20.7M, making it the 731st largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Itapemirim were Building Stone ($14.3M), Non-fillet Fresh Fish ($5.9M), Fish Fillets ($238k), Quartz ($152k), and Marble, Travertine and Alabaster ($57.8k).
Imports: In 2019, Brazil's Itapemirim imported $1.66M, making it the 934th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Itapemirim were Milling Stones ($1.23M), Polyacetals ($242k), Prepr binder for foundry ($119k), Non-Mechanical Removal Machinery ($30.1k), and Cement Articles ($28.9k).
Top Destination (2019): United States, $18.7M
Top Product (2019): Building Stone, $14.3M
In 2019 the top export destinations of Itapemirim were United States ($18.7M), Mexico ($955k), Canada ($337k), China ($151k), and New Zealand ($78k).
In 2019 the top exports of Itapemirim were Building Stone ($14.3M), Non-fillet Fresh Fish ($5.9M), Fish Fillets ($238k), Quartz ($152k), and Marble, Travertine and Alabaster ($57.8k).
Top Origin (2019): China, $1.01M
Top Import (2019): Milling Stones, $1.23M
In 2019 the top import origins of Itapemirim were China ($1.01M), Italy ($526k), Portugal ($85.4k), Hong Kong ($28.9k), and South Korea ($5.73k).
In 2019 the top imports of Itapemirim were Milling Stones ($1.23M), Polyacetals ($242k), Prepr binder for foundry ($119k), Non-Mechanical Removal Machinery ($30.1k), and Cement Articles ($28.9k).
This section shows differences between total trade from Itapemirim throughout time.
This section shows forecasts for total exports and imports from Itapemirim. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
Have questions, comments, or concerns?
Send us an e-mail: [email protected]
v4.0.1 ant