ItatibaExports: In 2019, Brazil's Itatiba exported $139M, making it the 247th largest exporter out of the 2197 exporters in Brazil. In 2019 the top exports of Itatiba were Air Pumps ($29.3M), Insulated Wire ($25.3M), Cleaning Products ($12.3M), Gas and Liquid Flow Measuring Instruments ($9.18M), and Propylene Polymers ($5.76M).
Imports: In 2019, Brazil's Itatiba imported $311M, making it the 109th largest importer out of the 2197 importers in Brazil. In 2019 top imports of Itatiba were N/A.
Exports
#permalink to sectionIn 2019 the top export destinations of Itatiba were Argentina ($63.7M), Chile ($14.8M), Mexico ($13.3M), United States ($12M), and Colombia ($7.38M).
In 2019 the top exports of Itatiba were Air Pumps ($29.3M), Insulated Wire ($25.3M), Cleaning Products ($12.3M), Gas and Liquid Flow Measuring Instruments ($9.18M), and Propylene Polymers ($5.76M).
Export Dynamics
#permalink to sectionFastest Growing Exports Destination (May 2019 - May 2020)
- Mozambique , $575k (100%)
- Bolivia , $84.8k (73.2%)
- United Arab Emirates , $60.4k (100%)
Imports
#permalink to sectionTop Origin (2019): China, $78.4M
Top Import (2019): N/A, N/A
In 2019 the top import origins of Itatiba were China ($78.4M), Germany ($49.7M), United States ($45.1M), Mexico ($16.1M), and France ($15.8M).
In 2019 the top imports of Itatiba were N/A.
Import Dynamics
#permalink to sectionMonthly trade
#permalink to sectionComparison in Time
#permalink to sectionThis section shows differences between total trade from Itatiba throughout time.
Comparison Map
#permalink to sectionThe municipalities of Brazil with the highest exports in 2019 were Rio De Janeiro ($11.3B), Duque De Caxias ($10.4B), Parauapebas ($7.02B), Canaã Dos Carajás ($4.93B), and São Paulo ($4.14B)
The municipalities of Brazil with the highest imports in 2019 were Manaus ($10.1B), São Paulo ($10.1B), Rio De Janeiro ($9.48B), Itajaí ($7.3B), and Macaé ($5.31B)
Forecasts
#permalink to sectionForecasts
#permalink to sectionThis section shows forecasts for total exports and imports from Itatiba. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
