Exports (2019): $11M, Rnk 886/2197
Top Destination (2019): $7.93M, United States
Top Export (2019): $3.45M, Seats
Imports (2019): $8.81M, Rnk 561/2197
Top Origin (2019): $2.67M, Germany
Top Import (2019): $3.07M, Gas and Liquid Flow Measuring Instruments
Overview: This page contains the latest international trade data for Iper贸, including export and import data.
Exports: In 2019, Brazil's Iper贸 exported $11M, making it the 886th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Iper贸 were Seats ($3.45M), Other Furniture ($2.95M), Other Iron Products ($2.21M), Light Fixtures ($1.31M), and Gas and Liquid Flow Measuring Instruments ($521k).
Imports: In 2019, Brazil's Iper贸 imported $8.81M, making it the 561st largest importer out of the 2197 importers in Brazil. In 2019 top imports of Iper贸 were Gas and Liquid Flow Measuring Instruments ($3.07M), Refined Petroleum ($766k), Rubberworking Machinery ($707k), Machinery Having Individual Functions ($505k), and Plastic Lids ($423k).
Top Destination (2019): United States, $7.93M
Top Product (2019): Seats, $3.45M
In 2019 the top export destinations of Iper贸 were United States ($7.93M), Germany ($1.12M), China ($501k), Angola ($341k), and Argentina ($332k).
In 2019 the top exports of Iper贸 were Seats ($3.45M), Other Furniture ($2.95M), Other Iron Products ($2.21M), Light Fixtures ($1.31M), and Gas and Liquid Flow Measuring Instruments ($521k).
Top Origin (2019): Germany, $2.67M
Top Import (2019): Gas and Liquid Flow Measuring Instruments, $3.07M
In 2019 the top import origins of Iper贸 were Germany ($2.67M), Italy ($1.88M), China ($1.1M), Poland ($962k), and Spain ($927k).
In 2019 the top imports of Iper贸 were Gas and Liquid Flow Measuring Instruments ($3.07M), Refined Petroleum ($766k), Rubberworking Machinery ($707k), Machinery Having Individual Functions ($505k), and Plastic Lids ($423k).
This section shows differences between total trade from Iper贸 throughout time.
This section shows forecasts for total exports and imports from Iper贸. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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