WASD Donation Sewer Point Feature Layer A Miami-Dade County

About This Dataset

This dataset maps the locations of sewer donation points across Miami-Dade County—places where private developers or property owners have donated sewer infrastructure to the county. It tracks which projects these donations belong to, when they were conveyed to the county, and technical details like pipe diameter, helping residents understand the county's wastewater infrastructure and how private development contributes to it.

Why This Matters

Key Metadata

Columns / Fields

Name Type Description
OBJECTID integer WASDDonationSPoint: OBJECTID
AGMTID text A unique identifier code for the agreement or contract associated with this sewer donation point. AI
PROJTYPE text The category or type of project, such as new construction, expansion, or rehabilitation of sewer infrastructure. AI
PROJNUM text A unique project number or identifier that links this sewer point to a specific WASD project. AI
DIAM integer The diameter of the sewer pipe at this point, measured in inches. AI
PLOTBY text The name or ID of the person who plotted or mapped the location of this sewer point. AI
PLOTDATE date The date when this sewer point was plotted or mapped on the system. AI
CONVEYDATE date The date when the sewer infrastructure or land was officially transferred or conveyed to WASD. AI
COMMENTS text Additional notes or remarks about the sewer donation point, such as special conditions or relevant details. AI
PROJPATH text The file path or location where the project documentation or files related to this sewer point are stored. AI
CRTBY text The name or ID of the person who originally created this record in the system. AI
CRTDATE date The date when this record was first created in the database. AI
MODBY text The name or ID of the person who last modified or updated this record. AI
MODDATE date The date when this record was last modified or updated. AI
GlobalID text WASDDonationSPoint: GlobalID

Related Datasets

Quality Breakdown

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

Findings

  • Row count not available