Nova CampinaMunicipality in São Paulo State in Brazil
Exports (2019): $2.5M, Rnk 1242/2197
Top Destination (2019): $1.77M, France
Top Export (2019): $1.84M, Particle Board
Imports (2019): $227k, Rnk 1343/2197
Top Origin (2019): $106k, Spain
Top Import (2019): N/A, N/A
Exports: In 2019, Brazil's Nova Campina exported $2.5M, making it the 1242nd largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Nova Campina were Particle Board ($1.84M), Uncoated Kraft Paper ($445k), Shaped Wood ($130k), Sawn Wood ($43.8k), and Wood Carpentry ($37.6k).
Imports: In 2019, Brazil's Nova Campina imported $227k, making it the 1343rd largest importer out of the 2197 importers in Brazil. In 2019 top imports of Nova Campina were N/A.
Top Destination (2019): France, $1.77M
Top Product (2019): Particle Board, $1.84M
In 2019 the top export destinations of Nova Campina were France ($1.77M), Argentina ($445k), Canada ($174k), and United States ($112k).
In 2019 the top exports of Nova Campina were Particle Board ($1.84M), Uncoated Kraft Paper ($445k), Shaped Wood ($130k), Sawn Wood ($43.8k), and Wood Carpentry ($37.6k).
Rapidly Declining Export Origins (May 2019 - May 2020): France , -$100k (-85.6%)
Top Origin (2019): Spain, $106k
Top Import (2019): N/A, N/A
In 2019 the top import origins of Nova Campina were Spain ($106k), United States ($68.5k), Canada ($26.2k), Germany ($15k), and Finland ($8.27k).
In 2019 the top imports of Nova Campina were N/A.
Fastest Growing Import Origins (May 2019 - May 2020)
This section shows differences between total trade from Nova Campina 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 Nova Campina. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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