Iguatemi

Municipality in Mato Grosso do Sul State in Brazil

Exports (2019): $33M, Rnk 615/2197

Top Destination (2019): $15.3M, Uruguay

Top Export (2019): $16.3M, Bovine Meat

Imports (2011): $21.5k, Rnk 0/2197

Top Origin (2011): $21.5k, Netherlands

Top Import (2011): $21.5k, Other Frozen Vegetables

Exports: In 2019, Brazil's Iguatemi exported $33M, making it the 615th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Iguatemi were Bovine Meat ($16.3M), Frozen Bovine Meat ($14.6M), Edible Offal ($2.04M), Cement ($55.6k), and Bovine, Sheep, and Goat Fat ($40.2k).

Imports: In 2011, Brazil's Iguatemi imported $21.5k, making it the 0th largest importer out of the 2197 importers in Brazil. In 2011 top imports of Iguatemi were Other Frozen Vegetables ($21.5k).

Value
Depth

Top Destination (2019): Uruguay, $15.3M

Top Product (2019): Bovine Meat, $16.3M

In 2019 the top export destinations of Iguatemi were Uruguay ($15.3M), China ($9.81M), Hong Kong ($4.83M), Saudi Arabia ($2.08M), and Egypt ($687k).

In 2019 the top exports of Iguatemi were Bovine Meat ($16.3M), Frozen Bovine Meat ($14.6M), Edible Offal ($2.04M), Cement ($55.6k), and Bovine, Sheep, and Goat Fat ($40.2k).

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Value
Depth

Top Origin (2011): Netherlands, $21.5k

Top Import (2011): Other Frozen Vegetables, $21.5k

In 2011 the top import origins of Iguatemi were Netherlands ($21.5k).

In 2011 the top imports of Iguatemi were Other Frozen Vegetables ($21.5k).

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Comparison in Time

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Flow
Value

This section shows differences between total trade from Iguatemi 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 2011 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 Iguatemi. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.

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