Astorga

Municipality in Paraná State in Brazil

Exports (2019): $96.7k, Rnk 1860/2197

Top Destination (2019): $96.7k, Japan

Top Export (2019): $96.7k, Corn

Imports (2019): $280k, Rnk 1305/2197

Top Origin (2019): $280k, Italy

Top Import (2019): $213k, Knitting Machines

Exports: In 2019, Brazil's Astorga exported $96.7k, making it the 1860th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Astorga were Corn ($96.7k) and Knitting Machine Accessories ($58).

Imports: In 2019, Brazil's Astorga imported $280k, making it the 1305th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Astorga were Knitting Machines ($213k), Textile Processing Machines ($64.6k), Knitting Machine Accessories ($2.88k), Other Rubber Products ($151), and Rubber Belting ($30).

Value
Depth

Top Destination (2019): Japan, $96.7k

Top Product (2019): Corn, $96.7k

In 2019 the top export destinations of Astorga were Japan ($96.7k) and Italy ($58).

In 2019 the top exports of Astorga were Corn ($96.7k) and Knitting Machine Accessories ($58).

Export Dynamics

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Fastest Growing Exports Destination (May 2019 - May 2020): China , $239k (100%)

Value
Depth

Top Origin (2019): Italy, $280k

Top Import (2019): Knitting Machines, $213k

In 2019 the top import origins of Astorga were Italy ($280k), United Kingdom ($126), and Germany ($103).

In 2019 the top imports of Astorga were Knitting Machines ($213k), Textile Processing Machines ($64.6k), Knitting Machine Accessories ($2.88k), Other Rubber Products ($151), and Rubber Belting ($30).

Import Dynamics

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Comparison Map

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Value

The municipalities of Brazil with the highest exports in 2019 were Rio De Janeiro ($11.3B), Duque De Caxias ($10.4B), Parauapebas ($7.02B), Canaã Dos Carajás ($4.93B), and São Paulo ($4.14B)

The municipalities of Brazil with the highest imports in 2019 were Manaus ($10.1B), São Paulo ($10.1B), Rio De Janeiro ($9.48B), Itajaí ($7.3B), and Macaé ($5.31B)

This section shows forecasts for total exports and imports from Astorga. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.

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