Vila Flores

Municipality in Rio Grande do Sul State in Brazil

Exports (2019): $16.5M, Rnk 785/2197

Top Destination (2019): $10.5M, China

Top Export (2019): $14.2M, Valves

Imports (2019): $8.08M, Rnk 577/2197

Top Origin (2019): $3.13M, China

Top Import (2019): $2.07M, Valves

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

Exports: In 2019, Brazil's Vila Flores exported $16.5M, making it the 785th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Vila Flores were Valves ($14.2M), Engine Parts ($1.86M), Machinery Having Individual Functions ($154k), Raw Nickel ($129k), and Other Plastic Products ($75.5k).

Imports: In 2019, Brazil's Vila Flores imported $8.08M, making it the 577th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Vila Flores were Valves ($2.07M), Aluminium Plating ($1.37M), Forging Machines ($1.13M), Raw Nickel ($948k), and Lifting Machinery ($439k).

Yearly Exports

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Value
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Top Destination (2019): China, $10.5M

Top Product (2019): Valves, $14.2M

In 2019 the top export destinations of Vila Flores were China ($10.5M), Singapore ($2.54M), United States ($2.13M), France ($965k), and Switzerland ($219k).

In 2019 the top exports of Vila Flores were Valves ($14.2M), Engine Parts ($1.86M), Machinery Having Individual Functions ($154k), Raw Nickel ($129k), and Other Plastic Products ($75.5k).

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Yearly Imports

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Value
Depth

Top Origin (2019): China, $3.13M

Top Import (2019): Valves, $2.07M

In 2019 the top import origins of Vila Flores were China ($3.13M), Italy ($2.9M), United States ($1.07M), Vietnam ($413k), and South Korea ($353k).

In 2019 the top imports of Vila Flores were Valves ($2.07M), Aluminium Plating ($1.37M), Forging Machines ($1.13M), Raw Nickel ($948k), and Lifting Machinery ($439k).

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Comparison in Time

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Flow
Value

This section shows differences between total trade from Vila Flores throughout time.

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

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