UrussangaMunicipality in Santa Catarina State in Brazil
Exports (2019): $5.42M, Rnk 1063/2197
Top Destination (2019): $974k, Paraguay
Top Export (2019): $2.93M, Unglazed Ceramics
Imports (2019): $18.7M, Rnk 432/2197
Top Origin (2019): $14.1M, Italy
Top Import (2019): $4.68M, Stone Processing Machines
Overview: This page contains the latest international trade data for Urussanga, including export and import data.
Exports: In 2019, Brazil's Urussanga exported $5.42M, making it the 1063rd largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Urussanga were Unglazed Ceramics ($2.93M), Iron Stovetops ($584k), Vehicle Bodies ($298k), Raw Aluminium ($234k), and Other Agricultural Machinery ($225k).
Imports: In 2019, Brazil's Urussanga imported $18.7M, making it the 432nd largest importer out of the 2197 importers in Brazil. In 2019 top imports of Urussanga were Stone Processing Machines ($4.68M), Lifting Machinery ($1.91M), Washing and Bottling Machines ($1.49M), Polyacetals ($1.48M), and Industrial Furnaces ($1.47M).
Top Destination (2019): Paraguay, $974k
Top Product (2019): Unglazed Ceramics, $2.93M
In 2019 the top export destinations of Urussanga were Paraguay ($974k), Peru ($931k), Uruguay ($668k), Chile ($626k), and Argentina ($618k).
In 2019 the top exports of Urussanga were Unglazed Ceramics ($2.93M), Iron Stovetops ($584k), Vehicle Bodies ($298k), Raw Aluminium ($234k), and Other Agricultural Machinery ($225k).
Top Origin (2019): Italy, $14.1M
Top Import (2019): Stone Processing Machines, $4.68M
In 2019 the top import origins of Urussanga were Italy ($14.1M), Argentina ($1.08M), Ecuador ($891k), Colombia ($655k), and Venezuela ($588k).
In 2019 the top imports of Urussanga were Stone Processing Machines ($4.68M), Lifting Machinery ($1.91M), Washing and Bottling Machines ($1.49M), Polyacetals ($1.48M), and Industrial Furnaces ($1.47M).
This section shows differences between total trade from Urussanga throughout time.
This section shows forecasts for total exports and imports from Urussanga. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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