port_volume
Get average dwelling times and TEU volumes from the top ports.
Parameters
- standard
- econdb
start_date: Union[date, str]
Start date of the data, in YYYY-MM-DD format.
• Optional: True
end_date: Union[date, str]
End date of the data, in YYYY-MM-DD format.
• Optional: True
start_date: Union[date, str]
Start date of the data, in YYYY-MM-DD format.
• Optional: True
end_date: Union[date, str]
End date of the data, in YYYY-MM-DD format.
• Optional: True
Returns
results: list[PortVolume]
Serializable results.
provider: Optional[Literal['econdb']]
Provider name.
warnings: Optional[list[Warning_]]
list of warnings.
chart: Optional[Chart]
Chart object.
extra: dict[str, Any]
Extra info.
Data
- standard
- econdb
date: Union[date, str]
The date of the data.
port_code: str
Port code.
port_name: str
Port name.
country: str
Country where the port is located.
date: Union[date, str]
The date of the data.
port_code: str
Port code.
port_name: str
Port name.
country: str
Country where the port is located.
export_dwell_time: float
EconDB model estimate for the average number of days from when a container enters the terminal gates until it is loaded on a vessel. High dwelling times can indicate vessel delays.
import_dwell_time: float
EconDB model estimate for the average number of days from when a container is discharged from a vessel until it exits the terminal gates. High dwelling times can indicate trucking or port congestion.
import_teu: int
EconDB model estimate for the number of twenty-foot equivalent units (TEUs) of containers imported through the port.
export_teu: int
EconDB model estimate for the number of twenty-foot equivalent units (TEUs) of containers exported through the port.