Alto HorizonteMunicipality in Goiás State in Brazil
Exports (2019): $425M, Rnk 111/2197
Top Destination (2019): $178M, China
Top Export (2019): $425M, Copper Ore
Imports (2019): $14.4M, Rnk 481/2197
Top Origin (2019): N/A, N/A
Top Import (2019): $7.4M, Other Iron Products
Exports: In 2019, Brazil's Alto Horizonte exported $425M, making it the 111th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Alto Horizonte were Copper Ore ($425M).
Imports: In 2019, Brazil's Alto Horizonte imported $14.4M, making it the 481st largest importer out of the 2197 importers in Brazil. In 2019 top imports of Alto Horizonte were Other Iron Products ($7.4M), Rubber Tires ($1.55M), Stone Processing Machines ($1.33M), Other Construction Vehicles ($912k), and Prepr binder for foundry ($536k).
Top Destination (2019): China, $178M
Top Product (2019): Copper Ore, $425M
In 2019 the top export destinations of Alto Horizonte were China ($178M), Spain ($139M), Germany ($73.6M), Japan ($17.1M), and Bulgaria ($17.1M).
In 2019 the top exports of Alto Horizonte were Copper Ore ($425M).
Fastest Growing Exports Destination (May 2019 - May 2020): Spain , $798k (4.57%)
Top Origin (2019): N/A, N/A
Top Import (2019): Other Iron Products, $7.4M
In 2019 the top import origins of Alto Horizonte were N/A.
In 2019 the top imports of Alto Horizonte were Other Iron Products ($7.4M), Rubber Tires ($1.55M), Stone Processing Machines ($1.33M), Other Construction Vehicles ($912k), and Prepr binder for foundry ($536k).
This section shows differences between total trade from Alto Horizonte 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 Alto Horizonte. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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