Exports (2019): $3.59M, Rnk 1165/2197
Top Destination (2019): $939k, Argentina
Top Export (2019): $2.14M, Petroleum Jelly
Imports (2019): $2.34M, Rnk 859/2197
Top Origin (2019): $625k, Indonesia
Top Import (2019): $1.56M, Petroleum Jelly
Exports (2019): $3.59M, Rnk 1165/2197
Top Destination (2019): $939k, Argentina
Top Export (2019): $2.14M, Petroleum Jelly
Imports (2019): $2.34M, Rnk 859/2197
Top Origin (2019): $625k, Indonesia
Top Import (2019): $1.56M, Petroleum Jelly
Overview: This page contains the latest international trade data for Madre de Deus, including export and import data.
Exports: In 2019, Brazil's Madre De Deus exported $3.59M, making it the 1165th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Madre De Deus were Petroleum Jelly ($2.14M) and Dyeing Finishing Agents ($1.45M).
Imports: In 2019, Brazil's Madre De Deus imported $2.34M, making it the 859th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Madre De Deus were Petroleum Jelly ($1.56M), Inedible Fats and Oils ($625k), Petroleum Resins ($82.2k), and Other Heating Machinery ($77.8k).
Top Destination (2019): Argentina, $939k
Top Product (2019): Petroleum Jelly, $2.14M
In 2019 the top export destinations of Madre De Deus were Argentina ($939k), Costa Rica ($857k), Peru ($443k), Ecuador ($219k), and Venezuela ($203k).
In 2019 the top exports of Madre De Deus were Petroleum Jelly ($2.14M) and Dyeing Finishing Agents ($1.45M).
Top Origin (2019): Indonesia, $625k
Top Import (2019): Petroleum Jelly, $1.56M
In 2019 the top import origins of Madre De Deus were Indonesia ($625k), China ($484k), Egypt ($422k), Germany ($342k), and Malaysia ($246k).
In 2019 the top imports of Madre De Deus were Petroleum Jelly ($1.56M), Inedible Fats and Oils ($625k), Petroleum Resins ($82.2k), and Other Heating Machinery ($77.8k).
This section shows differences between total trade from Madre de Deus throughout time.
This section shows forecasts for total exports and imports from Madre de Deus. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.