PalmasExports (2019): $298M, Rnk 141/2197
Top Destination (2019): $212M, China
Top Export (2019): $267M, Soybeans
Imports (2019): $64.3M, Rnk 248/2197
Top Origin (2019): $36.6M, China
Top Import (2019): $15.7M, Eyewear Frames
Overview: This page contains the latest international trade data for Palmas, including export and import data.
Exports: In 2019, Brazil's Palmas exported $298M, making it the 141st largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Palmas were Soybeans ($267M), Corn ($30.4M), Manganese Ore ($328k), Eyewear Frames ($31.3k), and Electric Generating Sets ($19.6k).
Imports: In 2019, Brazil's Palmas imported $64.3M, making it the 248th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Palmas were Eyewear Frames ($15.7M), Refined Petroleum ($9.77M), Machinery Having Individual Functions ($7.33M), Eyewear ($3.08M), and Acyclic Alcohols ($2.41M).
Yearly Exports
#permalink to sectionIn 2019 the top export destinations of Palmas were China ($212M), Spain ($18M), Thailand ($9.72M), Vietnam ($8.36M), and Egypt ($8.07M).
In 2019 the top exports of Palmas were Soybeans ($267M), Corn ($30.4M), Manganese Ore ($328k), Eyewear Frames ($31.3k), and Electric Generating Sets ($19.6k).
Yearly Imports
#permalink to sectionTop Origin (2019): China, $36.6M
Top Import (2019): Eyewear Frames, $15.7M
In 2019 the top import origins of Palmas were China ($36.6M), Argentina ($7.69M), Spain ($6.09M), Italy ($3.54M), and Saudi Arabia ($2.41M).
In 2019 the top imports of Palmas were Eyewear Frames ($15.7M), Refined Petroleum ($9.77M), Machinery Having Individual Functions ($7.33M), Eyewear ($3.08M), and Acyclic Alcohols ($2.41M).
Latest Data
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from Palmas throughout time.
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Palmas. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
