CriciúmaMunicipality in Santa Catarina State in Brazil
Exports (2019): $80.8M, Rnk 380/2197
Top Destination (2019): $23.7M, United States
Top Export (2019): $45.4M, Unglazed Ceramics
Imports (2019): $297M, Rnk 114/2197
Top Origin (2019): $64M, China
Top Import (2019): $24.3M, Raw Aluminium
Overview: This page contains the latest international trade data for Criciúma, including export and import data.
Exports: In 2019, Brazil's Criciúma exported $80.8M, making it the 380th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Criciúma were Unglazed Ceramics ($45.4M), Other Agricultural Machinery ($12.7M), Shaped Wood ($4.58M), Prefabricated Buildings ($2.72M), and Asbestos Cement Articles ($1.39M).
Imports: In 2019, Brazil's Criciúma imported $297M, making it the 114th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Criciúma were Raw Aluminium ($24.3M), Prepared Pigments ($16.7M), Styrene Polymers ($13.3M), Raw Nickel ($11.1M), and Corn ($10.8M).
Top Destination (2019): United States, $23.7M
Top Product (2019): Unglazed Ceramics, $45.4M
In 2019 the top export destinations of Criciúma were United States ($23.7M), Argentina ($8.92M), Peru ($6.75M), Paraguay ($4.9M), and Bolivia ($4.69M).
In 2019 the top exports of Criciúma were Unglazed Ceramics ($45.4M), Other Agricultural Machinery ($12.7M), Shaped Wood ($4.58M), Prefabricated Buildings ($2.72M), and Asbestos Cement Articles ($1.39M).
Fastest Growing Exports Destination (July 2019 - July 2020)
Top Origin (2019): China, $64M
Top Import (2019): Raw Aluminium, $24.3M
In 2019 the top import origins of Criciúma were China ($64M), Argentina ($36.9M), Italy ($34.7M), Spain ($20.5M), and Colombia ($18.7M).
In 2019 the top imports of Criciúma were Raw Aluminium ($24.3M), Prepared Pigments ($16.7M), Styrene Polymers ($13.3M), Raw Nickel ($11.1M), and Corn ($10.8M).
This section shows differences between total trade from Criciúma throughout time.
This section shows forecasts for total exports and imports from Criciúma. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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