Chicago Beach E. Coli Level Predictions

Predicted E. coli levels for beaches along Chicago's Lake Michigan lakefront inform daily swim advisories. The Chicago Park District generates these predictions using an experimental analytical model. Data is updated regularly, with the latest update in September 2025.

Use Cases

• Train a model to predict E. coli levels (Predicted Level) using spatial features like Latitude, Longitude, and Beach Name.
• Analyze temporal patterns in water quality by aggregating Predicted Level data by Date across different Community Areas.
• Create a geospatial dashboard visualizing swim advisory risk by mapping Predicted Level against Beach Name and Location coordinates.
• Correlate predicted contamination levels with administrative boundaries such as Wards, Census Tracts, or Zip Codes for policy analysis.

Strengths

• Data covers multiple geographic and administrative dimensions, including Community Areas, Wards, Census Tracts, and Zip Codes.
• Includes precise location data for each beach with Latitude and Longitude coordinates.

Limitations

• Predicted Level is based on an experimental model; accuracy compared to actual measurements is unknown.
• Key metadata such as total row count, temporal coverage range, and sample size are unavailable.

Provenance

Source

Chicago Park District, published via data.cityofchicago.org.

Collection Method

Generated by an experimental analytical modeling approach.

Freshness

Updated regularly, with a last update date of 2025-09-02.

Geography

Beaches along Chicago's Lake Michigan lakefront.