AraricáMunicipality in Rio Grande do Sul State in Brazil
Exports (2019): $609k, Rnk 1536/2197
Top Destination (2019): $382k, Argentina
Top Export (2019): $406k, Cellulose Fibers Paper
Imports (2019): $441k, Rnk 1223/2197
Top Origin (2019): $225k, China
Top Import (2019): $182k, Raw Plastic Sheeting
Overview: This page contains the latest international trade data for Araricá, including export and import data.
Exports: In 2019, Brazil's Araricá exported $609k, making it the 1536th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Araricá were Cellulose Fibers Paper ($406k), Soil Preparation Machinery ($97.2k), Trunks and Cases ($63.7k), Other Metal Fasteners ($19.2k), and Other Plastic Products ($15.5k).
Imports: In 2019, Brazil's Araricá imported $441k, making it the 1223rd largest importer out of the 2197 importers in Brazil. In 2019 top imports of Araricá were Raw Plastic Sheeting ($182k), Looms ($127k), Textile Processing Machines ($56.9k), Hand Saws ($42.7k), and Papermaking Machines ($17.3k).
Top Destination (2019): Argentina, $382k
Top Product (2019): Cellulose Fibers Paper, $406k
In 2019 the top export destinations of Araricá were Argentina ($382k), Paraguay ($97.2k), United States ($75.9k), Chile ($31.4k), and Peru ($17.7k).
In 2019 the top exports of Araricá were Cellulose Fibers Paper ($406k), Soil Preparation Machinery ($97.2k), Trunks and Cases ($63.7k), Other Metal Fasteners ($19.2k), and Other Plastic Products ($15.5k).
Top Origin (2019): China, $225k
Top Import (2019): Raw Plastic Sheeting, $182k
In 2019 the top import origins of Araricá were China ($225k), Italy ($191k), Germany ($17.3k), Poland ($5.51k), and Bulgaria ($2.04k).
In 2019 the top imports of Araricá were Raw Plastic Sheeting ($182k), Looms ($127k), Textile Processing Machines ($56.9k), Hand Saws ($42.7k), and Papermaking Machines ($17.3k).
This section shows differences between total trade from Araricá throughout time.
This section shows forecasts for total exports and imports from Araricá. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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