Paty Do Alferes
Municipality in Rio de Janeiro State in Brazil
Exports (2019): Not reported,
Imports (2019): $5.32M, Rnk 683/2197
Top Origin (2019): $3.01M, China
Top Import (2019): $1.63M, Non-Retail Synthetic Filament Yarn
Exports: In 2019, Brazil's Paty Do Alferes did not report exports.
Imports: In 2019, Brazil's Paty Do Alferes imported $5.32M, making it the 683rd largest importer out of the 2197 importers in Brazil. In 2019 top imports of Paty Do Alferes were Non-Retail Synthetic Filament Yarn ($1.63M), Non-Retail Synthetic Staple Fibers Yarn ($1.38M), Knitted or crocheted fabrics of a... ($922k), Non-Retail Artificial Staple Fibers Yarn ($573k), and Synthetic Coloring Matter ($324k).
Imports
#permalink to sectionTop Origin (2019): China, $3.01M
Top Import (2019): Non-Retail Synthetic Filament Yarn, $1.63M
In 2019 the top import origins of Paty Do Alferes were China ($3.01M), Indonesia ($915k), India ($545k), Vietnam ($385k), and Turkey ($150k).
In 2019 the top imports of Paty Do Alferes were Non-Retail Synthetic Filament Yarn ($1.63M), Non-Retail Synthetic Staple Fibers Yarn ($1.38M), Knitted or crocheted fabrics of a... ($922k), Non-Retail Artificial Staple Fibers Yarn ($573k), and Synthetic Coloring Matter ($324k).
Import Dynamics
#permalink to sectionFastest Growing Import Origins (May 2019 - May 2020): India , $172k (100%)
Comparison in Time
#permalink to sectionThis section shows differences between total trade from Paty do Alferes throughout time.
Comparison Map
#permalink to sectionThe 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)
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Paty do Alferes. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
