ItapevaExports (2019): $50.9M, Rnk 498/2197
Top Destination (2019): $13.7M, Argentina
Top Export (2019): $26.1M, Ferroalloys
Imports (2019): $708k, Rnk 1139/2197
Top Origin (2019): $501k, China
Top Import (2019): $508k, Small Iron Containers
Overview: This page contains the latest international trade data for Itapeva, including export and import data.
Exports: In 2019, Brazil's Itapeva exported $50.9M, making it the 498th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Itapeva were Ferroalloys ($26.1M), Insect Resins ($11.6M), Rosin ($8.15M), Turpentine ($4.96M), and Sawn Wood ($34.5k).
Imports: In 2019, Brazil's Itapeva imported $708k, making it the 1139th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Itapeva were Small Iron Containers ($508k), X-Ray Equipment ($85k), Prepr binder for foundry ($52.6k), Other Stone Articles ($50k), and Forging Machines ($9.5k).
Yearly Exports
#permalink to sectionTop Destination (2019): Argentina, $13.7M
Top Product (2019): Ferroalloys, $26.1M
In 2019 the top export destinations of Itapeva were Argentina ($13.7M), Japan ($8.87M), Portugal ($6.61M), China ($6.08M), and India ($2.93M).
In 2019 the top exports of Itapeva were Ferroalloys ($26.1M), Insect Resins ($11.6M), Rosin ($8.15M), Turpentine ($4.96M), and Sawn Wood ($34.5k).
Export Dynamics
#permalink to sectionYearly Imports
#permalink to sectionTop Origin (2019): China, $501k
Top Import (2019): Small Iron Containers, $508k
In 2019 the top import origins of Itapeva were China ($501k), United States ($103k), Japan ($85k), Portugal ($18.9k), and Spain ($39).
In 2019 the top imports of Itapeva were Small Iron Containers ($508k), X-Ray Equipment ($85k), Prepr binder for foundry ($52.6k), Other Stone Articles ($50k), and Forging Machines ($9.5k).
Latest Data
#permalink to sectionForecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Itapeva. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
