Catanduvas

Municipality in Santa Catarina State in Brazil

Exports (2019): $2.81k, Rnk 2132/2197

Top Destination (2019): $2.81k, France

Top Export (2019): $2.81k, Maté

Imports (2019): $226k, Rnk 1346/2197

Top Origin (2019): $129k, China

Top Import (2019): $129k, Nitrogen Heterocyclic Compounds

Exports: In 2019, Brazil's Catanduvas exported $2.81k, making it the 2132nd largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Catanduvas were Maté ($2.81k).

Imports: In 2019, Brazil's Catanduvas imported $226k, making it the 1346th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Catanduvas were Nitrogen Heterocyclic Compounds ($129k), Bran ($71k), and Saturated Acyclic Monocarboxylic Acids ($26k).

Value
Depth

Top Destination (2019): France, $2.81k

Top Product (2019): Maté, $2.81k

In 2019 the top export destinations of Catanduvas were France ($2.81k).

In 2019 the top exports of Catanduvas were Maté ($2.81k).

Export Dynamics

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Value
Depth

Top Origin (2019): China, $129k

Top Import (2019): Nitrogen Heterocyclic Compounds, $129k

In 2019 the top import origins of Catanduvas were China ($129k), Paraguay ($71k), and United States ($26k).

In 2019 the top imports of Catanduvas were Nitrogen Heterocyclic Compounds ($129k), Bran ($71k), and Saturated Acyclic Monocarboxylic Acids ($26k).

Import Dynamics

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Rapidly Declining Import Origins (May 2019 - May 2020): China , -$116k (-90.1%)

Comparison in Time

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Flow
Value

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

Comparison Map

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Value

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

Explore Forecasts