MairinqueExports (2019): $30.6M, Rnk 637/2197
Top Destination (2019): $8.97M, Paraguay
Top Export (2019): $12M, Animal Food
Imports (2019): $114M, Rnk 187/2197
Top Origin (2019): N/A, N/A
Top Import (2019): $49.1M, Phosphoric Acid
Overview: This page contains the latest international trade data for Mairinque, including export and import data.
Exports: In 2019, Brazil's Mairinque exported $30.6M, making it the 637th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Mairinque were Animal Food ($12M), Inedible Fats and Oils ($7.19M), Lubricating Products ($6.59M), Soybean Oil ($792k), and Biodiesel and mixtures thereof ($566k).
Imports: In 2019, Brazil's Mairinque imported $114M, making it the 187th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Mairinque were Phosphoric Acid ($49.1M), Seed Oils ($18.6M), Soybean Oil ($5.06M), Fish Fillets ($3.73M), and Palm Oil ($3.69M).
Yearly Exports
#permalink to sectionTop Destination (2019): Paraguay, $8.97M
Top Product (2019): Animal Food, $12M
In 2019 the top export destinations of Mairinque were Paraguay ($8.97M), China ($8.09M), United States ($4M), Uruguay ($2.34M), and Argentina ($1.25M).
In 2019 the top exports of Mairinque were Animal Food ($12M), Inedible Fats and Oils ($7.19M), Lubricating Products ($6.59M), Soybean Oil ($792k), and Biodiesel and mixtures thereof ($566k).
Export Dynamics
#permalink to sectionYearly Imports
#permalink to sectionTop Origin (2019): N/A, N/A
Top Import (2019): Phosphoric Acid, $49.1M
In 2019 the top import origins of Mairinque were N/A.
In 2019 the top imports of Mairinque were Phosphoric Acid ($49.1M), Seed Oils ($18.6M), Soybean Oil ($5.06M), Fish Fillets ($3.73M), and Palm Oil ($3.69M).
Latest Data
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from Mairinque throughout time.
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Mairinque. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
