BrochierMunicipality in Rio Grande do Sul State in Brazil
Exports (2019): $1M, Rnk 1426/2197
Top Destination (2019): $994k, United States
Top Export (2019): $927k, Wood Charcoal
Imports (2019): $24.2k, Rnk 1731/2197
Top Origin (2019): $24.2k, Argentina
Top Import (2019): $17.1k, Other Sea Vessels
Exports: In 2019, Brazil's Brochier exported $1M, making it the 1426th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Brochier were Wood Charcoal ($927k), Maté ($22k), Dextrins ($20.4k), Iron Stovetops ($8.49k), and Tapioca ($5.84k).
Imports: In 2019, Brazil's Brochier imported $24.2k, making it the 1731st largest importer out of the 2197 importers in Brazil. In 2019 top imports of Brochier were Other Sea Vessels ($17.1k), Other Floating Structures ($6.78k), and Twine and Rope ($268).
Top Destination (2019): United States, $994k
Top Product (2019): Wood Charcoal, $927k
In 2019 the top export destinations of Brochier were United States ($994k) and Canada ($7.36k).
In 2019 the top exports of Brochier were Wood Charcoal ($927k), Maté ($22k), Dextrins ($20.4k), Iron Stovetops ($8.49k), and Tapioca ($5.84k).
Rapidly Declining Export Origins (May 2019 - May 2020): United States , -$39.5k (-48.1%)
Top Origin (2019): Argentina, $24.2k
Top Import (2019): Other Sea Vessels, $17.1k
In 2019 the top import origins of Brochier were Argentina ($24.2k).
In 2019 the top imports of Brochier were Other Sea Vessels ($17.1k), Other Floating Structures ($6.78k), and Twine and Rope ($268).
This section shows differences between total trade from Brochier 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), Itajaà ($7.3B), and Macaé ($5.31B)
This section shows forecasts for total exports and imports from Brochier. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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