Barra Do ChapéuExports (2019): $16M, Rnk 790/2197
Top Destination (2019): $4.84M, India
Top Export (2019): $9.06M, Turpentine
Imports (2019): $58.2k, Rnk 1577/2197
Top Origin (2019): $58.2k, China
Top Import (2019): $58.2k, Small Iron Containers
Exports: In 2019, Brazil's Barra Do Chapéu exported $16M, making it the 790th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Barra Do Chapéu were Turpentine ($9.06M), Rosin ($6.87M), and Insect Resins ($60.4k).
Imports: In 2019, Brazil's Barra Do Chapéu imported $58.2k, making it the 1577th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Barra Do Chapéu were Small Iron Containers ($58.2k).
Exports
#permalink to sectionTop Destination (2019): India, $4.84M
Top Product (2019): Turpentine, $9.06M
In 2019 the top export destinations of Barra Do Chapéu were India ($4.84M), China ($2.68M), United States ($1.62M), Japan ($1.55M), and Pakistan ($906k).
In 2019 the top exports of Barra Do Chapéu were Turpentine ($9.06M), Rosin ($6.87M), and Insect Resins ($60.4k).
Imports
#permalink to sectionTop Origin (2019): China, $58.2k
Top Import (2019): Small Iron Containers, $58.2k
In 2019 the top import origins of Barra Do Chapéu were China ($58.2k).
In 2019 the top imports of Barra Do Chapéu were Small Iron Containers ($58.2k).
Monthly trade
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from Barra do Chapéu throughout time.
Comparison Map
#permalink to sectionThe 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)
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Barra do Chapéu. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
