HortolândiaExports (2019): $56.1M, Rnk 468/2197
Top Destination (2019): $21M, United States
Top Export (2019): $7.99M, Office Machine Parts
Imports (2019): $919M, Rnk 42/2197
Top Origin (2019): N/A, N/A
Top Import (2019): $204M, Office Machine Parts
Overview: This page contains the latest international trade data for Hortolândia, including export and import data.
Exports: In 2019, Brazil's Hortolândia exported $56.1M, making it the 468th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Hortolândia were Office Machine Parts ($7.99M), Integrated Circuits ($7.7M), Packaged Medicaments ($6.68M), Blank Audio Media ($5.92M), and Computers ($5.31M).
Imports: In 2019, Brazil's Hortolândia imported $919M, making it the 42nd largest importer out of the 2197 importers in Brazil. In 2019 top imports of Hortolândia were Office Machine Parts ($204M), Computers ($179M), Integrated Circuits ($159M), Telephones ($47.7M), and Blank Audio Media ($42M).
Yearly Exports
#permalink to sectionTop Destination (2019): United States, $21M
Top Product (2019): Office Machine Parts, $7.99M
In 2019 the top export destinations of Hortolândia were United States ($21M), China ($7.46M), Poland ($3.86M), Mexico ($2.42M), and Argentina ($2.4M).
In 2019 the top exports of Hortolândia were Office Machine Parts ($7.99M), Integrated Circuits ($7.7M), Packaged Medicaments ($6.68M), Blank Audio Media ($5.92M), and Computers ($5.31M).
Export Dynamics
#permalink to sectionYearly Imports
#permalink to sectionTop Origin (2019): N/A, N/A
Top Import (2019): Office Machine Parts, $204M
In 2019 the top import origins of Hortolândia were N/A.
In 2019 the top imports of Hortolândia were Office Machine Parts ($204M), Computers ($179M), Integrated Circuits ($159M), Telephones ($47.7M), and Blank Audio Media ($42M).
Import Dynamics
#permalink to sectionLatest Data
#permalink to sectionForecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Hortolândia. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
