JeceabaMunicipality in Minas Gerais State in Brazil
Exports (2019): $360M, Rnk 128/2197
Top Destination (2019): $46.3M, Iraq
Top Export (2019): N/A, N/A
Imports (2019): $18.2M, Rnk 441/2197
Top Origin (2019): $4.09M, China
Top Import (2019): $4.31M, Ferroalloys
Exports: In 2019, Brazil's Jeceaba exported $360M, making it the 128th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Jeceaba were N/A.
Imports: In 2019, Brazil's Jeceaba imported $18.2M, making it the 441st largest importer out of the 2197 importers in Brazil. In 2019 top imports of Jeceaba were Ferroalloys ($4.31M), Other Plastic Products ($3.18M), Metal-Rolling Mills ($1.81M), Manganese ($1.38M), and Artificial Graphite ($1.06M).
Top Destination (2019): Iraq, $46.3M
Top Product (2019): N/A, N/A
In 2019 the top export destinations of Jeceaba were Iraq ($46.3M), Oman ($42.2M), United States ($41.3M), Saudi Arabia ($37.7M), and United Arab Emirates ($32.2M).
In 2019 the top exports of Jeceaba were N/A.
Fastest Growing Exports Destination (May 2019 - May 2020)
Rapidly Declining Export Origins (May 2019 - May 2020): Saudi Arabia , -$2.75M (-37.1%)
Top Origin (2019): China, $4.09M
Top Import (2019): Ferroalloys, $4.31M
In 2019 the top import origins of Jeceaba were China ($4.09M), Moldova ($2M), Germany ($1.99M), Argentina ($1.71M), and France ($1.67M).
In 2019 the top imports of Jeceaba were Ferroalloys ($4.31M), Other Plastic Products ($3.18M), Metal-Rolling Mills ($1.81M), Manganese ($1.38M), and Artificial Graphite ($1.06M).
This section shows differences between total trade from Jeceaba 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 Jeceaba. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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