TailândiaExports (2019): $8.27M, Rnk 964/2197
Top Destination (2019): $7.25M, Switzerland
Top Export (2019): $7.76M, Palm Oil
Imports (2019): $307k, Rnk 1286/2197
Top Origin (2019): $159k, Costa Rica
Top Import (2019): $159k, Other Oily Seeds
Overview: This page contains the latest international trade data for Tailândia, including export and import data.
Exports: In 2019, Brazil's Tailândia exported $8.27M, making it the 964th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Tailândia were Palm Oil ($7.76M), Veneer Sheets ($414k), Shaped Wood ($61.9k), and Coconut Oil ($29.9k).
Imports: In 2019, Brazil's Tailândia imported $307k, making it the 1286th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Tailândia were Other Oily Seeds ($159k), Air Pumps ($69.2k), Other Heating Machinery ($30.7k), Liquid Pumps ($19.1k), and Centrifuges ($9.2k).
Yearly Exports
#permalink to sectionTop Destination (2019): Switzerland, $7.25M
Top Product (2019): Palm Oil, $7.76M
In 2019 the top export destinations of Tailândia were Switzerland ($7.25M), Germany ($534k), Japan ($312k), United States ($90.1k), and Netherlands ($27.8k).
In 2019 the top exports of Tailândia were Palm Oil ($7.76M), Veneer Sheets ($414k), Shaped Wood ($61.9k), and Coconut Oil ($29.9k).
Yearly Imports
#permalink to sectionTop Origin (2019): Costa Rica, $159k
Top Import (2019): Other Oily Seeds, $159k
In 2019 the top import origins of Tailândia were Costa Rica ($159k), China ($71.7k), Czechia ($53.6k), Germany ($19.6k), and Netherlands ($2.87k).
In 2019 the top imports of Tailândia were Other Oily Seeds ($159k), Air Pumps ($69.2k), Other Heating Machinery ($30.7k), Liquid Pumps ($19.1k), and Centrifuges ($9.2k).
Latest Data
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from Tailândia throughout time.
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Tailândia. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
