Santo Ant么nio De Jesus

Municipality in Bahia State in Brazil

Exports (2019): $35.4k, Rnk 1966/2197

Top Destination (2019): $32.3k, Colombia

Top Export (2019): $32.3k, Styrene Polymers

Imports (2019): $27.3M, Rnk 369/2197

Top Origin (2019): $9.22M, China

Top Import (2019): $7.03M, Packaged Medicaments

Overview: This page contains the latest international trade data for Santo Ant么nio de Jesus, including export and import data.

Exports: In 2019, Brazil's Santo Ant么nio De Jesus exported $35.4k, making it the 1966th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Santo Ant么nio De Jesus were Styrene Polymers ($32.3k) and Plastic Lids ($3.12k).

Imports: In 2019, Brazil's Santo Ant么nio De Jesus imported $27.3M, making it the 369th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Santo Ant么nio De Jesus were Packaged Medicaments ($7.03M), Nitrogen Heterocyclic Compounds ($4.06M), Concentrated Milk ($3.8M), Vitamins ($1.69M), and Styrene Polymers ($1.59M).

Yearly Exports

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Value
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Top Destination (2019): Colombia, $32.3k

Top Product (2019): Styrene Polymers, $32.3k

In 2019 the top export destinations of Santo Ant么nio De Jesus were Colombia ($32.3k) and Uruguay ($3.12k).

In 2019 the top exports of Santo Ant么nio De Jesus were Styrene Polymers ($32.3k) and Plastic Lids ($3.12k).

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Yearly Imports

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Depth

Top Origin (2019): China, $9.22M

Top Import (2019): Packaged Medicaments, $7.03M

In 2019 the top import origins of Santo Ant么nio De Jesus were China ($9.22M), France ($7.03M), Argentina ($1.98M), Paraguay ($1.53M), and United States ($1.38M).

In 2019 the top imports of Santo Ant么nio De Jesus were Packaged Medicaments ($7.03M), Nitrogen Heterocyclic Compounds ($4.06M), Concentrated Milk ($3.8M), Vitamins ($1.69M), and Styrene Polymers ($1.59M).

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Comparison in Time

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Flow
Value

This section shows differences between total trade from Santo Ant么nio de Jesus throughout time.

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

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