Data & Methodology — Menominee County

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

Contaminant Data — All Analytes

11867 total samples analyzed across 22 analytes. Data spans 1963 to 2025.

Contaminant Samples Years Detection Rate Distribution LowModHigh vs. Limit vs. MI Avg
Radon 12 1990–2014 100%
90% of limit ↑ 162% above
Iron 46 1963–2015 98%
87% of limit ↓ 56% below
Manganese 19 1976–2015 100%
48% of limit ↓ 65% below
Arsenic 11 1977–2015 91%
6% of limit ↓ 83% below
Uranium 14 1982–2015 100%
1% of limit ↓ 45% below
Lead 38 1988–2015 97%
2% of limit ↓ 82% below
Sulfate 8 1963–1971 88%
10% of limit ↓ 41% below
Fluoride 13 1976–2015 100%
4% of limit ↓ 43% below
Nitrite 9 2000–2009 89%
0% of limit ↓ 69% below
Chloride 55 1963–2025 100%
3% of limit ↓ 76% below
HFPO-DA (GenX) municipal 4 2024 0%
0% of limit
PFHxS municipal 4 2024 0%
0% of limit
PFNA municipal 4 2024 0%
0% of limit
PFOA municipal 4 2024 0%
0% of limit
PFOS municipal 4 2024 0%
0% of limit
Hardness 19 2007–2024 95% ↑ 92% above
E. coli 1 2008 0%
PFBS municipal 4 2024 0%
Nitrate 1 1971 0%
pH 9 1963–2018 100% ~ typical
Total Coliform 1 2014 0%
Sodium 68 1963–2024 98% ↓ 71% below

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 46 samples
  • Manganese 19 samples
  • Lead 38 samples
  • Chloride 55 samples
  • Hardness 19 samples
  • Sodium 68 samples

Limited data (<15 samples) — interpret with caution

  • Radon 12 samples
  • Arsenic 11 samples
  • Uranium 14 samples
  • Sulfate 8 samples
  • Fluoride 13 samples
  • Nitrite 9 samples
  • E. coli 1 sample
  • Nitrate 1 sample
  • pH 9 samples
  • Total Coliform 1 sample

No private-well PFAS data for Menominee County

We have no private well sampling data for PFAS compounds (PFOA, PFOS, PFNA, and related chemicals) in Menominee 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 Menominee County

46 Active public water systems
17,177 Residents on public water
27% Households on private wells

Public water systems in Menominee 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 Menominee 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 Menominee County Prevalence MI Average Source Year
Radon Cancer prevalence 9.0% 7.2% 2020

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