Sistemas de agua de Michigan clasificados por carga de exposición — 2026

Empresas de agua comunitarias de Michigan clasificadas por una puntuación de gravedad de infracciones de 5 años ponderada por población, que combina datos de cumplimiento SDWIS de la EPA con estimaciones poblacionales de los límites del área de servicio del sistema de agua comunitario v3 de la EPA.

50 Sistemas
clasificados
22,183 PWSID
con datos demográficos
2019-23 Versión del
Censo ACS
EPA v3 Límites del área de servicio
de CWS (marzo de 2026)
Cómo leer esta lista Los sistemas se ordenan por carga de exposición: una puntuación ponderada por población que combina cuántas personas atiende un proveedor con la severidad de su historial federal de infracciones de cinco años. Las infracciones a la salud y de técnica de tratamiento suman linealmente; los conteos de monitoreo/reporte contribuyen en escala logarítmica para que los grandes proveedores con muchos puntos de muestreo no dominen solo por acumulación de papeleo. Las infracciones a la salud sin resolver tienen un peso adicional de 20×. Véase la página de metodología para conocer los pesos exactos y la justificación.

These 50 Michigan water utilities have the highest population-weighted violation burden over the past five years. Scoring combines EPA health-based and treatment-technique violations on a linear scale (10× / 6×), adds a log-scaled contribution for monitoring/reporting lapses, and applies a 20× weight for currently-unresolved health violations. The total is multiplied by each system's population served.

RankWater SystemStatePop servedExposure burdenHealth viol. (5yr)T&TMRUnresolved
1 Battle Creek - Verona System Michigan 52,508 12,634 8 0 0 8
2 Taylor Michigan 62,952 2,319 1 1 0 1
3 Dearborn Heights Michigan 54,839 2,127 1 1 9 1
4 Benton Harbor Michigan 15,008 1,777 6 6 5 1
5 City of Flint Michigan 79,519 1,272 1 1 0
6 Waterford Township Michigan 71,507 1,209 1 1 1
7 Redford Township Michigan 38,741 667 1 1 3
8 City of Bay City Michigan 40,210 643 1 1 0
9 Birmingham Michigan 17,727 586 2 2 1
10 Flat Rock Michigan 11,139 579 2 2 0 1
11 Hamtramck Michigan 28,357 481 1 1 2
12 City of Mount Clemens Michigan 15,448 426 2 1 5
13 Mount Pleasant Michigan 22,932 381 1 1 1
14 Charter Township of Grand Blanc Michigan 22,220 362 1 1 0
15 Marquette Michigan 19,411 311 1 1 0
16 City of Lapeer Michigan 9,053 298 2 2 2
17 City of Owosso Michigan 16,951 292 1 1 3
18 Harper Woods Michigan 16,511 284 1 1 3
19 Holly, Village of Michigan 6,313 240 1 1 5 1
20 Grand Haven Township Michigan 12,215 195 1 1 0
21 New Baltimore, City of Michigan 12,053 193 1 1 0
22 South Haven Area Water & Sewer Authority Michigan 4,490 170 1 1 3 1
23 Mattawan Michigan 4,393 159 1 1 0 1
24 Hillsdale Michigan 7,324 151 2 0 1
25 Clinton Township Michigan 96,302 145 0 0 3
26 Westland Michigan 89,848 129 0 0 2
27 Albion Michigan 7,221 126 1 1 4
28 New Haven, Village of Michigan 6,983 118 1 1 1
29 Big Rapids Michigan 6,973 114 1 1 0
30 Jackson Michigan 38,693 111 0 0 26
31 Allegan Michigan 5,743 100 1 1 2
32 Marine City Michigan 4,502 73 1 1 0
33 River Rouge Michigan 3,947 71 1 1 6
34 Ada Township Michigan 4,379 70 1 1 0
35 Macomb Township Michigan 72,008 69 0 0 2
36 Independence Township Michigan 24,132 65 0 0 21
37 Belleville Michigan 3,653 64 1 1 2
38 Tittabawassee Township Michigan 3,320 57 1 1 2
39 City of Imlay City Michigan 3,491 57 1 1 0
40 City of Swartz Creek Michigan 3,476 57 1 1 0
41 Lincoln Park Michigan 34,179 48 0 0 4
42 City of Saginaw Michigan 48,710 46 0 0 2
43 Kalamazoo Michigan 50,880 46 0 0 1
44 Pittsfield Township Michigan 29,559 44 0 0 3
45 West Bloomfield Township Michigan 42,568 41 0 0 2
46 East Lansing, City of Michigan 44,840 40 0 0 1
47 Frenchtown Township Michigan 10,313 39 0 0 46
48 Saginaw Charter Township Michigan 40,698 39 0 0 2
49 Southfield Michigan 54,623 38 0 0 0
50 Cedar Springs Michigan 3,534 35 1 0 0

How to read this ranking

Each row links to a full utility profile with violation history, lead testing results, and service-area ZIPs. The demographic context columns are from independent data sources (ACS, not EJScreen) and are provided for readers who want to examine equity patterns alongside the operational data.

See the full methodology for calculation details, data vintages, and known limitations.

Frequently asked questions

What is "exposure burden"?

A single score combining how many people a water system serves with how severe its federal drinking-water violations have been over the last five years. The formula is population_served × severity_score, where severity_score linearly sums contamination-related events — 10× per health-based violation, 6× per treatment-technique violation, 20× per currently-unresolved health violation — and adds a logarithmic contribution from procedural violations (2× × log10(1 + monitoring_count), 1× × log10(1 + other_count)). The log scaling prevents large utilities with many sampling sites from dominating the list purely through paperwork accumulation. Units are arbitrary — only relative ranks are meaningful. Scaled by 1,000 for display readability.

Why weight violations by severity?

A raw 5-year violation count would put systems with many late monitoring reports above systems with actual contamination events — because a large utility with 100 sampling sites failing 5% of them accumulates more MR violations than a tiny utility with real tap-water contamination. The severity weights come from the EPA Safe Drinking Water Act enforcement hierarchy: maximum contaminant level violations and treatment technique failures are Priority 1 (actual public-health risk), while monitoring/reporting violations are Priority 2 (procedural). We publish the weights so readers can recompute the ranking under different assumptions.

Why multiply by population?

Two systems with the same violation record affect very different numbers of people when one serves 500,000 residents and the other serves 3,000. A ranking of "worst systems" that ignores this conflates violation-per-system with violation-per-person-year. Population-weighting is standard in environmental-epidemiology work (e.g., "person-years at exposure") and prevents a list dominated by small rural utilities with easy-to-accumulate monitoring gaps.

Is this the same as the Most Unresolved Violations list?

No. Unresolved violations count only currently-open health-based violations as of the latest EPA snapshot — a point-in-time view of where the Safe Drinking Water Act is being violated right now. Exposure burden is a 5-year accumulated view that weights all violations by severity and population. A system with one serious contamination event affecting a large city can outrank a system with many small unresolved monitoring gaps; the two lists surface different facts.

Where does the data come from?

Violation categorization and counts come from EPA's Safe Drinking Water Information System (SDWIS) via the ECHO enforcement database, refreshed monthly. Population served comes from EPA Community Water System Service Area Boundaries v3 cross-walked to Census 2020 population via Microsoft building-footprint weights. Demographics come from Census ACS 2019-2023.

ZipCheckup es una herramienta independiente de datos públicos. Somos un servicio de referencia, no un proveedor de pruebas de agua, remediación ni servicios públicos. Las clasificaciones reflejan datos federales de acceso público y se ofrecen con fines informativos. Para problemas con su sistema de agua específico, el proveedor local de agua o el programa estatal de agua potable son los puntos de contacto adecuados.

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