São Lourenço Da SerraExports (2019): $7.4k, Rnk 2097/2197
Top Destination (2019): $7.4k, Germany
Top Export (2019): N/A, N/A
Imports (2019): $788k, Rnk 1111/2197
Top Origin (2019): $416k, United States
Top Import (2019): $406k, Oscilloscopes
Overview: This page contains the latest international trade data for São Lourenço da Serra, including export and import data.
Exports: In 2019, Brazil's São Lourenço Da Serra exported $7.4k, making it the 2097th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of São Lourenço Da Serra were N/A.
Imports: In 2019, Brazil's São Lourenço Da Serra imported $788k, making it the 1111th largest importer out of the 2197 importers in Brazil. In 2019 top imports of São Lourenço Da Serra were Oscilloscopes ($406k), Machinery Having Individual Functions ($183k), Chemical Analysis Instruments ($101k), Other Heating Machinery ($26.5k), and Iron Pipe Fittings ($16.4k).
Yearly Exports
#permalink to sectionTop Destination (2019): Germany, $7.4k
Top Product (2019): N/A, N/A
In 2019 the top export destinations of São Lourenço Da Serra were Germany ($7.4k).
In 2019 the top exports of São Lourenço Da Serra were N/A.
Yearly Imports
#permalink to sectionTop Origin (2019): United States, $416k
Top Import (2019): Oscilloscopes, $406k
In 2019 the top import origins of São Lourenço Da Serra were United States ($416k), Germany ($342k), China ($28.2k), Ukraine ($1.91k), and Sweden ($63).
In 2019 the top imports of São Lourenço Da Serra were Oscilloscopes ($406k), Machinery Having Individual Functions ($183k), Chemical Analysis Instruments ($101k), Other Heating Machinery ($26.5k), and Iron Pipe Fittings ($16.4k).
Latest Data
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from São Lourenço da Serra throughout time.
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from São Lourenço da Serra. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
