João Neiva

Municipality in Espírito Santo State in Brazil

Exports (2019): $57M, Rnk 460/2197

Top Destination (2019): $29.9M, Netherlands

Top Export (2019): $52.9M, Pig Iron

Imports (2019): $629k, Rnk 1164/2197

Top Origin (2019): $321k, United States

Top Import (2019): $278k, Railway Track Fixtures

Overview: This page contains the latest international trade data for João Neiva, including export and import data.

Exports: In 2019, Brazil's João Neiva exported $57M, making it the 460th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of João Neiva were Pig Iron ($52.9M), Building Stone ($3.7M), Musical Instrument Parts ($265k), Liquid Pumps ($37.8k), and Quartz ($27.9k).

Imports: In 2019, Brazil's João Neiva imported $629k, making it the 1164th largest importer out of the 2197 importers in Brazil. In 2019 top imports of João Neiva were Railway Track Fixtures ($278k), Traffic Signals ($245k), Liquid Pumps ($53.9k), Other Plastic Products ($28.2k), and Light Fixtures ($9.68k).

Yearly Exports

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Value
Depth

Top Destination (2019): Netherlands, $29.9M

Top Product (2019): Pig Iron, $52.9M

In 2019 the top export destinations of João Neiva were Netherlands ($29.9M), United States ($11.1M), Spain ($4.69M), Turkey ($3.22M), and Italy ($3.05M).

In 2019 the top exports of João Neiva were Pig Iron ($52.9M), Building Stone ($3.7M), Musical Instrument Parts ($265k), Liquid Pumps ($37.8k), and Quartz ($27.9k).

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Yearly Imports

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Value
Depth

Top Origin (2019): United States, $321k

Top Import (2019): Railway Track Fixtures, $278k

In 2019 the top import origins of João Neiva were United States ($321k), Austria ($306k), Mexico ($1.4k), and Canada ($666).

In 2019 the top imports of João Neiva were Railway Track Fixtures ($278k), Traffic Signals ($245k), Liquid Pumps ($53.9k), Other Plastic Products ($28.2k), and Light Fixtures ($9.68k).

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Comparison in Time

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Flow
Value

This section shows differences between total trade from João Neiva throughout time.

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

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