São José Do HortêncioMunicipality in Rio Grande do Sul State in Brazil
Exports (2019): $190k, Rnk 1754/2197
Top Destination (2019): $106k, India
Top Export (2019): $179k, Leather of Other Animals
Imports (2019): $68.6k, Rnk 1546/2197
Top Origin (2019): $68.6k, Argentina
Top Import (2019): $68.6k, Linseed
Exports: In 2019, Brazil's São José Do Hortêncio exported $190k, making it the 1754th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of São José Do Hortêncio were Leather of Other Animals ($179k), Tanned Equine and Bovine Hides ($10.7k), and Uncoated Paper ($0).
Imports: In 2019, Brazil's São José Do Hortêncio imported $68.6k, making it the 1546th largest importer out of the 2197 importers in Brazil. In 2019 top imports of São José Do Hortêncio were Linseed ($68.6k).
Top Destination (2019): India, $106k
Top Product (2019): Leather of Other Animals, $179k
In 2019 the top export destinations of São José Do Hortêncio were India ($106k), Portugal ($65.7k), Uruguay ($7.25k), Venezuela ($3.73k), and United States ($3.56k).
In 2019 the top exports of São José Do Hortêncio were Leather of Other Animals ($179k), Tanned Equine and Bovine Hides ($10.7k), and Uncoated Paper ($0).
In 2019 the top import origins of São José Do Hortêncio were Argentina ($68.6k).
In 2019 the top imports of São José Do Hortêncio were Linseed ($68.6k).
Fastest Growing Import Origins (May 2019 - May 2020): Argentina , $27k (100%)
This section shows differences between total trade from São José do Hortêncio 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 São José do Hortêncio. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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