Nova AndradinaMunicipality in Mato Grosso do Sul State in Brazil
Exports (2019): $74.2M, Rnk 397/2197
Top Destination (2019): $13.4M, Hong Kong
Top Export (2019): N/A, N/A
Imports (2019): $77.6M, Rnk 233/2197
Top Origin (2019): $61.5M, Chile
Top Import (2019): $74.9M, Refined Copper
Exports: In 2019, Brazil's Nova Andradina exported $74.2M, making it the 397th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Nova Andradina were N/A.
Imports: In 2019, Brazil's Nova Andradina imported $77.6M, making it the 233rd largest importer out of the 2197 importers in Brazil. In 2019 top imports of Nova Andradina were Refined Copper ($74.9M), Equine and Bovine Hides ($1.35M), Tanned Equine and Bovine Hides ($719k), Mixed Mineral or Chemical Fertilizers ($319k), and Sulfates ($204k).
Top Destination (2019): Hong Kong, $13.4M
Top Product (2019): N/A, N/A
In 2019 the top export destinations of Nova Andradina were Hong Kong ($13.4M), Chile ($12.7M), Philippines ($6.83M), China ($5.88M), and Italy ($4.79M).
In 2019 the top exports of Nova Andradina were N/A.
Top Origin (2019): Chile, $61.5M
Top Import (2019): Refined Copper, $74.9M
In 2019 the top import origins of Nova Andradina were Chile ($61.5M), Peru ($13.4M), United States ($1.68M), Uruguay ($397k), and Russia ($319k).
In 2019 the top imports of Nova Andradina were Refined Copper ($74.9M), Equine and Bovine Hides ($1.35M), Tanned Equine and Bovine Hides ($719k), Mixed Mineral or Chemical Fertilizers ($319k), and Sulfates ($204k).
This section shows differences between total trade from Nova Andradina 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 Nova Andradina. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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