Nazaré

Municipality in Bahia State in Brazil

Exports (2019): $8.93k, Rnk 2082/2197

Top Destination (2019): $8.87k, Norway

Top Export (2019): $1.26k, Iron Pipe Fittings

Imports (2019): $2.56k, Rnk 1943/2197

Top Origin (2019): $2.56k, China

Top Import (2019): $2.56k, Excavation Machinery

Exports: In 2019, Brazil's Nazaré exported $8.93k, making it the 2082nd largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Nazaré were Iron Pipe Fittings ($1.26k), Other Furniture ($834), Other Hand Tools ($803), Other Iron Products ($752), and Hose Piping Textiles ($404).

Imports: In 2019, Brazil's Nazaré imported $2.56k, making it the 1943rd largest importer out of the 2197 importers in Brazil. In 2019 top imports of Nazaré were Excavation Machinery ($2.56k).

Value
Depth
Year

Top Destination (2019): Norway, $8.87k

Top Product (2019): Iron Pipe Fittings, $1.26k

In 2019 the top export destinations of Nazaré were Norway ($8.87k) and Central African Republic ($61).

In 2019 the top exports of Nazaré were Iron Pipe Fittings ($1.26k), Other Furniture ($834), Other Hand Tools ($803), Other Iron Products ($752), and Hose Piping Textiles ($404).

Export Dynamics

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Value
Depth

Top Origin (2019): China, $2.56k

Top Import (2019): Excavation Machinery, $2.56k

In 2019 the top import origins of Nazaré were China ($2.56k).

In 2019 the top imports of Nazaré were Excavation Machinery ($2.56k).

Import Dynamics

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Comparison in Time

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Flow
Value
Starting Date

This section shows differences between total trade from Nazaré throughout time.

Comparison Map

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Value
Start
End

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 Nazaré. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.

Explore Forecasts