Street Maintenance A Miami-Dade County

About This Dataset

This dataset maps every street in Miami-Dade County and shows who's responsible for maintaining each one—whether it's the County, a city, the state, a private owner, or Miami-Dade Airport/PortMiami. It includes details like street names, speed limits, number of lanes, and width, making it essential for understanding road infrastructure and reporting maintenance issues to the right agency.

Why This Matters

Key Metadata

Columns / Fields

Name Type Description
OBJECTID integer StreetMaint: OBJECTID
STREETID integer A unique identifier number assigned to each street segment for tracking and reference purposes. AI
CLASS text The functional classification or category of the street, indicating its role in the road network (such as arterial, collector, or local street). AI
SNAME text The official name of the street (such as 'Main Street' or 'Oak Avenue'). AI
ONEWAY text Indicates whether the street is a one-way or two-way street, typically coded as Y (yes, one-way) or N (no, two-way). AI
MAINTCODE text A code indicating the maintenance responsibility or status for the street, showing who is responsible for upkeep and repairs. AI
SPEEDLIMIT integer The posted speed limit for the street, measured in miles per hour (mph). AI
F_ZLEV integer The from-elevation or starting point elevation level of the street segment, typically measured in feet. AI
T_ZLEV integer The to-elevation or ending point elevation level of the street segment, typically measured in feet. AI
LANES integer The number of traffic lanes available on the street for vehicle movement. AI
LMUNIC integer A code identifying the municipality jurisdiction on the left side of the street segment. AI
RMUNIC integer A code identifying the municipality jurisdiction on the right side of the street segment. AI
ST_WIDTH integer The width of the street measured in feet, representing the physical space from curb to curb or edge to edge. AI
GlobalID text StreetMaint: GlobalID
Shape__Length number StreetMaint: Shape__Length

Related Datasets

Quality Breakdown

A Composite Score: 96%
100%
86%
100%

Findings

  • Row count not available