MirandópolisMunicipality in São Paulo State in Brazil
Exports (2019): $39.7M, Rnk 557/2197
Top Destination (2019): $19.9M, South Korea
Top Export (2019): $19.9M, Alcohol > 80% ABV
Imports (2019): $2.22k, Rnk 1948/2197
Top Origin (2019): $2.22k, Italy
Top Import (2019): $977, Liquid Pumps
Exports: In 2019, Brazil's Mirandópolis exported $39.7M, making it the 557th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Mirandópolis were Alcohol > 80% ABV ($19.9M), Raw Sugar ($19.8M), and Horses ($7k).
Imports: In 2019, Brazil's Mirandópolis imported $2.22k, making it the 1948th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Mirandópolis were Liquid Pumps ($977), Aluminium Structures ($632), Liquid Dispersing Machines ($447), and Valves ($160).
Top Destination (2019): South Korea, $19.9M
Top Product (2019): Alcohol > 80% ABV, $19.9M
In 2019 the top export destinations of Mirandópolis were South Korea ($19.9M), India ($9.28M), Algeria ($2.92M), Nigeria ($2.09M), and Morocco ($1.95M).
In 2019 the top exports of Mirandópolis were Alcohol > 80% ABV ($19.9M), Raw Sugar ($19.8M), and Horses ($7k).
Fastest Growing Exports Destination (May 2019 - May 2020): India , $1.73M (100%)
Top Origin (2019): Italy, $2.22k
Top Import (2019): Liquid Pumps, $977
In 2019 the top import origins of Mirandópolis were Italy ($2.22k).
In 2019 the top imports of Mirandópolis were Liquid Pumps ($977), Aluminium Structures ($632), Liquid Dispersing Machines ($447), and Valves ($160).
This section shows differences between total trade from Mirandópolis throughout time.
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 Mirandópolis. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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