Maracaju

Municipality in Mato Grosso do Sul State in Brazil

Exports (2019): $55M, Rnk 471/2197

Top Destination (2019): $21.7M, China

Top Export (2019): $27.4M, Corn

Imports (2019): $390k, Rnk 1248/2197

Top Origin (2019): $243k, Germany

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

Exports: In 2019, Brazil's Maracaju exported $55M, making it the 471st largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Maracaju were Corn ($27.4M), Soybeans ($25.1M), and Raw Sugar ($2.49M).

Imports: In 2019, Brazil's Maracaju imported $390k, making it the 1248th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Maracaju were N/A.

Value
Depth

Top Destination (2019): China, $21.7M

Top Product (2019): Corn, $27.4M

In 2019 the top export destinations of Maracaju were China ($21.7M), Japan ($8.53M), Spain ($5.46M), South Korea ($4.38M), and Iran ($4.38M).

In 2019 the top exports of Maracaju were Corn ($27.4M), Soybeans ($25.1M), and Raw Sugar ($2.49M).

Export Dynamics

#permalink to section

Fastest Growing Exports Destination (May 2019 - May 2020)

Value
Depth

Top Origin (2019): Germany, $243k

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

In 2019 the top import origins of Maracaju were Germany ($243k) and Poland ($147k).

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

Import Dynamics

#permalink to section

Fastest Growing Import Origins (May 2019 - May 2020): China , $89.6k (100%)

Comparison in Time

#permalink to section
Flow
Value

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

Comparison Map

#permalink to section
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 Maracaju. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.

Explore Forecasts