Nova Alvorada Do SulMunicipality in Mato Grosso do Sul State in Brazil
Exports (2019): $114k, Rnk 1835/2197
Top Destination (2019): $114k, Paraguay
Top Export (2019): $101k, Baked Goods
Imports (2019): $14.8M, Rnk 474/2197
Top Origin (2019): $14.4M, Paraguay
Top Import (2019): $14.2M, Wheat
Exports: In 2019, Brazil's Nova Alvorada Do Sul exported $114k, making it the 1835th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Nova Alvorada Do Sul were Baked Goods ($101k), Malt Extract ($7.22k), and Pasta ($6.08k).
Imports: In 2019, Brazil's Nova Alvorada Do Sul imported $14.8M, making it the 474th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Nova Alvorada Do Sul were Wheat ($14.2M), Washing and Bottling Machines ($381k), Rice ($192k), and Wheat Flours ($79.4k).
Top Destination (2019): Paraguay, $114k
Top Product (2019): Baked Goods, $101k
In 2019 the top export destinations of Nova Alvorada Do Sul were Paraguay ($114k).
In 2019 the top exports of Nova Alvorada Do Sul were Baked Goods ($101k), Malt Extract ($7.22k), and Pasta ($6.08k).
Fastest Growing Exports Destination (May 2019 - May 2020): Paraguay , $5.37k (39.4%)
In 2019 the top import origins of Nova Alvorada Do Sul were Paraguay ($14.4M), Italy ($381k), and Uruguay ($79.4k).
In 2019 the top imports of Nova Alvorada Do Sul were Wheat ($14.2M), Washing and Bottling Machines ($381k), Rice ($192k), and Wheat Flours ($79.4k).
This section shows differences between total trade from Nova Alvorada do Sul 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 Alvorada do Sul. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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