Epitaciolândia

Municipality in Acre State in Brazil

Exports (2019): $11.3M, Rnk 873/2197

Top Destination (2019): $9.14M, Bolivia

Top Export (2019): $3.1M, Poultry Meat

Imports (2019): $140k, Rnk 1429/2197

Top Origin (2019): $82.3k, Peru

Top Import (2019): $81.1k, Cement

Overview: This page contains the latest international trade data for Epitaciolândia, including export and import data.

Exports: In 2019, Brazil's Epitaciolândia exported $11.3M, making it the 873rd largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Epitaciolândia were Poultry Meat ($3.1M), Corn ($891k), Unglazed Ceramics ($749k), Rice ($668k), and Processed Cereals ($511k).

Imports: In 2019, Brazil's Epitaciolândia imported $140k, making it the 1429th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Epitaciolândia were Cement ($81.1k), Shaped Wood ($20.3k), Rock Wool ($15.6k), Sawn Wood ($11.8k), and Cellulose ($7.96k).

Yearly Exports

#permalink to section
Value
Depth

Top Destination (2019): Bolivia, $9.14M

Top Product (2019): Poultry Meat, $3.1M

In 2019 the top export destinations of Epitaciolândia were Bolivia ($9.14M), Peru ($2.04M), France ($38.2k), and China ($35.1k).

In 2019 the top exports of Epitaciolândia were Poultry Meat ($3.1M), Corn ($891k), Unglazed Ceramics ($749k), Rice ($668k), and Processed Cereals ($511k).

Explore Visualizations

Yearly Imports

#permalink to section
Value
Depth

Top Origin (2019): Peru, $82.3k

Top Import (2019): Cement, $81.1k

In 2019 the top import origins of Epitaciolândia were Peru ($82.3k), Bolivia ($32.2k), and China ($26k).

In 2019 the top imports of Epitaciolândia were Cement ($81.1k), Shaped Wood ($20.3k), Rock Wool ($15.6k), Sawn Wood ($11.8k), and Cellulose ($7.96k).

Explore Visualizations

Comparison in Time

#permalink to section
Flow
Value

This section shows differences between total trade from Epitaciolândia throughout time.

This section shows forecasts for total exports and imports from Epitaciolândia. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.

Explore Forecasts