Ametista Do SulMunicipality in Rio Grande do Sul State in Brazil
Exports (2019): $8.62M, Rnk 954/2197
Top Destination (2019): $3.03M, Taiwan
Top Export (2019): $8.2M, Precious Stones
Imports (2019): $188k, Rnk 1372/2197
Top Origin (2019): $188k, Uruguay
Top Import (2019): $188k, Precious Stones
Exports: In 2019, Brazil's Ametista Do Sul exported $8.62M, making it the 954th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Ametista Do Sul were Precious Stones ($8.2M), Pearl Products ($409k), Iron Blocks ($6.29k), Jewellery ($1.82k), and Hand Saws ($1.44k).
Imports: In 2019, Brazil's Ametista Do Sul imported $188k, making it the 1372nd largest importer out of the 2197 importers in Brazil. In 2019 top imports of Ametista Do Sul were Precious Stones ($188k).
Top Destination (2019): Taiwan, $3.03M
Top Product (2019): Precious Stones, $8.2M
In 2019 the top export destinations of Ametista Do Sul were Taiwan ($3.03M), China ($2.16M), United States ($1.53M), India ($621k), and Germany ($453k).
In 2019 the top exports of Ametista Do Sul were Precious Stones ($8.2M), Pearl Products ($409k), Iron Blocks ($6.29k), Jewellery ($1.82k), and Hand Saws ($1.44k).
Top Origin (2019): Uruguay, $188k
Top Import (2019): Precious Stones, $188k
In 2019 the top import origins of Ametista Do Sul were Uruguay ($188k).
In 2019 the top imports of Ametista Do Sul were Precious Stones ($188k).
Fastest Growing Import Origins (May 2019 - May 2020): Uruguay , $3.24k (18.3%)
This section shows differences between total trade from Ametista 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 Ametista do Sul. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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