Skip to main content

us-water-quality-data for Python

Versioned U.S. water-system evidence by ZIP for Python. Its bundled JSON is generated from the same open export as the JavaScript package and preserves measured zero, measured false, and unavailable evidence as different states.

import us_water_quality_data as water

record = water.lookup("10001")
print(record)
print(water.meta["total_zips"])

The package provides lookup, get_state, get_worst, get_best, states, count, zips, and search_city. Read coverage counts, source vintage, and field definitions from water.meta; they vary by version.

The copper field is copper_action_level_exceedance, not a concentration. It is True only when an accepted CU90 exceedance record exists and None when unknown. Nullable violation, CCR, enforcement, lead, radon, score, and grade fields must not be converted to reassuring zeros or false values.

Schema v5 has 55 ordered fields. ccr_accepted_evidence is None unless an accepted CCR record is source-bound to its identity, period/date status, typed lead result, copper semantics, evidence URL, and SHA-256.

lead_level_mg_l is normalized only from a source row with an explicit supported unit. Values at or above 1 mg/L are held for source review and are never divided by 1000 automatically. contaminant_count and health_contaminant_names are None when water_data_available is false.

Home Safety Score fields follow the model version recorded by the source export and remain unavailable when required domain coverage is incomplete. The data is system-level and geographically joined evidence, not tap-level sampling, a property inspection, or a guarantee of safety.

License: CC BY 4.0. Full source and methodology details: zipcheckup.com.

Metadata

Release files for us-water-quality-data 2026.9.15

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for us-water-quality-data 2026.9.15
File Size Uploaded
us_water_quality_data-2026.9.15.tar.gz 6.3 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for us-water-quality-data 2026.9.15
File Interpreter ABI Platform
us_water_quality_data-2026.9.15-py3-none-any.whl Python 3 none any Details

Total release size: 12.5 MB

Release files / us_water_quality_data-2026.9.15.tar.gz

Download URL us_water_quality_data-2026.9.15.tar.gz
Size 6.3 MB
Tags Source
SHA-256 checksum
How to use checksums
ba6a9fc7f34bc1d3b9adbe4d9bb85b5c6e6c47ddd78be4af5ca0a7f1c07424df
BLAKE2b-256 checksum
How to use checksums
410c01c687156df1d92c6961a4ba0ac3c71255fb3ad78539373afa574be4f9c6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.11.15

Release files / us_water_quality_data-2026.9.15-py3-none-any.whl

Download URL us_water_quality_data-2026.9.15-py3-none-any.whl
Size 6.3 MB
Tags Python 3
SHA-256 checksum
How to use checksums
6a43feefc0981585db5a64b4c9bb020afa7a866268b70cab3229d71aac03f56e
BLAKE2b-256 checksum
How to use checksums
c9b096a8a5ead3cd54c5da043c9c4ccb86c96d1844530d9289b7a86c935e5a72
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.11.15
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page