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Spanish-Language Access in U.S. Water Quality Reports

A data-journalism findings page examining how 1,432 U.S. water systems serving large Spanish-speaking populations present Spanish-language information in their Consumer Confidence Reports.

1,432 systems meeting CA Spanish-LEP benchmark
3.7% of assessed systems publish a full Spanish CCR
84 systems running multilingual CCR programs

Key Findings

Of the 1,432 U.S. water systems whose service areas meet California's published Spanish-LEP benchmark (≥1,000 or ≥10% Spanish limited-English proficient residents), 675 had a CCR PDF with recoverable text. Of those assessed, 25 (3.7%) carried a full Spanish translation within the PDF itself. The remaining 650 (96.3%) contained only a Spanish courtesy notice — a brief statement, not a full translation.

The presence of a full Spanish CCR increases with service-area Spanish-LEP share: systems where ≥20% of residents are Spanish-LEP show the highest rate (30.2%), while systems below 5% LEP show only 0.2%. This gradient suggests translation decisions track community composition, though the overall rate remains low across assessed systems.

Full Spanish CCR Rate by Service-Area Spanish-LEP Share

Assessed systems only (n = 675). Shares reflect Census C16001 Spanish-LEP estimates applied to the systems' ZIP code service areas.

LEP Share Tier Spanish-LEP % Full Spanish CCR
High ≥20% 30.2%
Mid-High 10–20% 2.6%
Mid-Low 5–10% 3.2%
Low <5% 0.2%
Important caveat: Translation status in this dataset reflects only the CCR PDF collected for each system. A system classified as “courtesy notice only” means the PDF we collected does not itself contain a full Spanish translation — it does not mean the system provides no Spanish-language access. Many utilities publish supplemental Spanish content on their websites or as separate documents not captured here. Absence of a full translation in the PDF does not imply non-provision.

Methodology

The 1,432-system universe applies California's published Spanish-LEP numeric threshold (≥1,000 OR ≥10% Spanish-LEP persons age 5+ in the service area) as a national benchmark for “Spanish-access relevance.” This threshold is the only published numeric standard in the U.S.; we use it as a comparative benchmark, not a per-system legal obligation.

Spanish-LEP population estimates are derived from U.S. Census Bureau American Community Survey table C16001 (language spoken at home and ability to speak English), aggregated to each system's ZIP code service area using EPA SDWIS service-area boundaries.

Under 40 CFR §141.153(h)(3), multilingual information in Consumer Confidence Reports is required only “in communities with a large proportion of [LEP] consumers as determined by the Primacy Agency.” A courtesy notice (brief Spanish statement directing residents to contact the utility) satisfies this requirement. There is no federal numeric threshold mandating a full Spanish CCR; the California benchmark used here is applied solely as an analytical reference point.

Systems by State

Top 10 states by count of systems meeting the Spanish-LEP benchmark:

CA 371 • TX 155 • FL 96 • IL 90 • NM 48 • NY 45 • GA 39 • NJ 35 • WA 35 • AZ 34

Multilingual CCR Programs

84 systems in this dataset list two or more non-English languages in their CCR, indicating a multilingual outreach program. These systems are included in the broader 1,432-system set regardless of whether they publish a full Spanish translation.

Download the Dataset

DOI: 10.5281/zenodo.20217878   CC-BY-4.0

Reproducibility

To reproduce this dataset from source data, run the following pipeline scripts from the repository root:

Shell
node scripts/fetch-census-language.js && node scripts/build-ccr-rich-spanish-dataset.js

System Directory

All 1,432 water systems in the dataset. Click a column header to sort. Use the search box to filter by system name, state, or PWSID.

Water System State Spanish-LEP % CCR Spanish Status
Loading directory…
Data disclaimer: This page presents findings from ZipCheckup's open CCR dataset. Data reflects CCR PDFs collected through May 2026. Translation status applies to the collected PDF only; it does not reflect a system's full language-access program.

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