Lake A Miami-Dade County

About This Dataset

This dataset maps all lakes in Miami-Dade County, showing their exact locations, sizes, ownership, and maintenance status. It's useful for residents, developers, and city planners who need to understand water features, flood risks, or environmental considerations across the county.

Why This Matters

Key Metadata

Columns / Fields

Name Type Description
OBJECTID integer Lake: OBJECTID
NAME text The official name of the lake as recognized by Miami-Dade County and state authorities. AI
ACRES number The total surface area of the lake measured in acres, indicating how large the body of water is. AI
FID_B text The unique identification number assigned by the Florida Department of Environmental Protection (FDEP) to track and reference this specific lake in state records. AI
NOTES text Additional comments or information about the lake that provides context not covered by other fields, such as historical details or special characteristics. AI
TYPE text Classifies the lake by its characteristics or origin, such as natural, retention pond, or other water body categories used in Miami-Dade County records. AI
OWNERSHIP text Indicates who owns or has primary jurisdiction over the lake, such as the county, state, federal government, or private entities. AI
MAINTAINED text Indicates whether the lake is actively maintained, typically coded as Y (yes) or N (no) to show if it receives regular upkeep or management. AI
STATUS text The current condition or operational status of the lake, which may indicate if it is active, inactive, restored, or has other designations. AI
M_NUMBER text A reference number related to special taxing districts that may apply to the lake or surrounding area for funding water management or maintenance. AI
ORDINANCE text The specific Miami-Dade County ordinance number that governs regulations, protections, or management rules for this particular lake. AI
GlobalID text Lake: GlobalID
Shape__Area number Lake: Shape__Area
Shape__Length number Lake: Shape__Length

Related Datasets

Quality Breakdown

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

Findings

  • Row count not available