Catas Altas

Municipality in Minas Gerais State in Brazil

Exports (2019): $403M, Rnk 116/2197

Top Destination (2019): $266M, China

Top Export (2019): $403M, Iron Ore

Imports (2019): $6.83k, Rnk 1881/2197

Top Origin (2019): $4.69k, United Kingdom

Top Import (2019): $4.45k, Other Measuring Instruments

Exports: In 2019, Brazil's Catas Altas exported $403M, making it the 116th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Catas Altas were Iron Ore ($403M).

Imports: In 2019, Brazil's Catas Altas imported $6.83k, making it the 1881st largest importer out of the 2197 importers in Brazil. In 2019 top imports of Catas Altas were Other Measuring Instruments ($4.45k), Insulated Wire ($1.8k), Low-voltage Protection Equipment ($338), and Electric Batteries ($237).

Value
Depth

Top Destination (2019): China, $266M

Top Product (2019): Iron Ore, $403M

In 2019 the top export destinations of Catas Altas were China ($266M), Malaysia ($122M), Netherlands ($8.74M), France ($3.96M), and Italy ($656k).

In 2019 the top exports of Catas Altas were Iron Ore ($403M).

Export Dynamics

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Rapidly Declining Export Origins (May 2019 - May 2020)

Value
Depth

Top Origin (2019): United Kingdom, $4.69k

Top Import (2019): Other Measuring Instruments, $4.45k

In 2019 the top import origins of Catas Altas were United Kingdom ($4.69k) and United States ($2.14k).

In 2019 the top imports of Catas Altas were Other Measuring Instruments ($4.45k), Insulated Wire ($1.8k), Low-voltage Protection Equipment ($338), and Electric Batteries ($237).

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

Explore Forecasts