Inimutaba

Municipality in Minas Gerais State in Brazil

Exports (2019): $1.92M, Rnk 1291/2197

Top Destination (2019): $1.01M, China

Top Export (2019): $1.36M, Quartz

Imports (2019): $3.05k, Rnk 1935/2197

Top Origin (2019): $3.05k, Germany

Top Import (2019): N/A, N/A

Exports: In 2019, Brazil's Inimutaba exported $1.92M, making it the 1291st largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Inimutaba were Quartz ($1.36M), Precious Stones ($394k), Pearl Products ($158k), Mica ($8.77k), and Iron Reductions ($712).

Imports: In 2019, Brazil's Inimutaba imported $3.05k, making it the 1935th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Inimutaba were N/A.

Value
Depth

Top Destination (2019): China, $1.01M

Top Product (2019): Quartz, $1.36M

In 2019 the top export destinations of Inimutaba were China ($1.01M), United States ($386k), Russia ($325k), Hong Kong ($92.5k), and Japan ($69.2k).

In 2019 the top exports of Inimutaba were Quartz ($1.36M), Precious Stones ($394k), Pearl Products ($158k), Mica ($8.77k), and Iron Reductions ($712).

Export Dynamics

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Fastest Growing Exports Destination (May 2019 - May 2020)

Rapidly Declining Export Origins (May 2019 - May 2020)

Value
Depth

Top Origin (2019): Germany, $3.05k

Top Import (2019): N/A, N/A

In 2019 the top import origins of Inimutaba were Germany ($3.05k).

In 2019 the top imports of Inimutaba were N/A.

Import Dynamics

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Comparison in Time

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Flow
Value

This section shows differences between total trade from Inimutaba throughout time.

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 Inimutaba. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.

Explore Forecasts