Data & Methodology — Sanilac County

Full contaminant data, sample history, and sourcing for Sanilac County. For readers who want to go beyond the summary.

Contaminant Data — All Analytes

12710 total samples analyzed across 22 analytes. Data spans 1967 to 2023.

Contaminant Samples Years Detection Rate Distribution LowModHigh vs. Limit vs. MI Avg
Iron 20 1975–2013 100%
211% of limit ~ typical
Arsenic 16 1975–2016 94%
110% of limit ↑ 244% above
Sulfate 35 1967–2018 100%
18% of limit ~ typical
Chloride 58 1967–2021 97%
6% of limit ↓ 50% below
Uranium 7 1982–2016 100%
1% of limit ~ typical
Radon 6 1991–2013 100%
44% of limit ↑ 27% above
PFOS municipal 12 2023–2025 0%
0% of limit
PFHxS municipal 12 2023–2025 0%
0% of limit
PFNA municipal 12 2023–2025 0%
0% of limit
Nitrite 10 2000–2009 90%
1% of limit ~ typical
PFOA municipal 12 2023–2025 0%
0% of limit
HFPO-DA (GenX) municipal 12 2023–2025 0%
0% of limit
Lead 10 2007–2016 100%
2% of limit ↓ 85% below
Fluoride 16 1975–2013 100%
18% of limit ↑ 127% above
Nitrate 1 1975 0%
PFBS municipal 12 2023–2025 0%
Hardness 2 2008–2012 50% ~ typical
E. coli 1 2010 0%
Total Coliform 1 2007 0%
pH 25 1967–2012 84% ~ typical
Sodium 35 1975–2023 100% ↓ 42% below
Manganese 1 1975 0%

Distribution shows the share of samples in each concentration band relative to the EPA Maximum Contaminant Level (MCL): Low = below half the MCL, Moderate = between half and the MCL, High = above the MCL. Analytes without an MCL (e.g. sodium, pH) show — in the limit columns. State average is based on county median values across MI.

Data Coverage & Gaps

Well-sampled analytes (15+ samples)

  • Iron 20 samples
  • Arsenic 16 samples
  • Sulfate 35 samples
  • Chloride 58 samples
  • Fluoride 16 samples
  • pH 25 samples
  • Sodium 35 samples

Limited data (<15 samples) — interpret with caution

  • Uranium 7 samples
  • Radon 6 samples
  • Nitrite 10 samples
  • Lead 10 samples
  • Nitrate 1 sample
  • Hardness 2 samples
  • E. coli 1 sample
  • Total Coliform 1 sample
  • Manganese 1 sample

No private-well PFAS data for Sanilac County

We have no private well sampling data for PFAS compounds (PFOA, PFOS, PFNA, and related chemicals) in Sanilac County. PFAS testing for private wells requires a dedicated lab panel (~$300–$500). If you are near a military base, airport, or industrial site, consider testing proactively. Learn more about PFAS →

Public vs. Private Water in Sanilac County

77 Active public water systems
25,615 Residents on public water
37% Households on private wells

Public water systems in Sanilac County are regulated by the EPA and must test and report contaminant levels. Private well owners are responsible for their own testing — there is no routine monitoring of private wells by any government agency.

CDC Health Outcome Correlations

Where contaminants detected in Sanilac County have established associations with specific health outcomes, we cross-reference CDC PLACES county-level prevalence data. This is a contextual signal, not a causal claim.

Contaminant Associated Condition Sanilac County Prevalence MI Average Source Year
Arsenic Cancer prevalence 10.6% 7.2% 2023
Arsenic Cancer prevalence 8.4% 7.2% 2020
Arsenic Kidney disease rate 3.7% 3.2% 2020

Source: CDC PLACES county-level estimates. Raw data: Download Sanilac County CDC PLACES data →

Data Sources

This report aggregates data from the following public databases:

Methodology

Raw records are downloaded from the Water Quality Portal and normalized to µg/L (ppb). Records are deduplicated by sample ID and date, and certified outliers are excluded. Analyte names are mapped to EPA canonical forms. Detection rates, distribution bands, and MCL comparisons are computed from the normalized dataset.

Distribution bands use the EPA Maximum Contaminant Level as the threshold: concentrations below 50% of the MCL are classed as Low, between 50% and 100% as Moderate, and above 100% as High. For analytes without an MCL (sodium, hardness, pH), distribution is not computed.

State comparison uses the median of county median values across all counties in MI with at least one sample for that analyte.

Last updated: 2026-05-27

Full methodology →