Illinois Water Systems Ranked by Exposure Burden — 2026

Illinois community water utilities ranked by a population-weighted 2021-2026 violation severity score combining EPA SDWIS enforcement data with EPA Community Water System Service Area Boundaries v3 population estimates.

50 Systems
ranked
22,183 PWSIDs
with demographic data
2019-23 Census ACS
vintage
EPA v3 CWS service area
boundaries (March 2026)
How to read this list Systems are sorted by exposure burden: a population-weighted score that combines how many people a utility serves with the severity of the federal violations recorded in the dataset's reporting period. Health-based and treatment-technique violations sum linearly; monitoring/reporting counts contribute on a log scale so large utilities with many sampling sites don't dominate purely through paperwork accumulation. Health-based violations recorded as unresolved in the source snapshot carry an additional 20× weight. See the methodology page for exact weights and rationale.

These 50 Illinois water utilities have the highest population-weighted violation scores in this dataset's reporting window. 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. (since 2021)T&TMRUnresolved
1 Chicago Illinois 2,499,694 5,752 0 0 9 —
2 Joliet Illinois 131,239 1,009 1 1 6 —
3 Central Stickney Sd Illinois 24,532 664 1 1 1 1
4 Macomb Illinois 13,809 575 4 0 2 —
5 Cicero Illinois 67,879 543 1 1 4 —
6 North Chicago Illinois 24,913 534 2 0 2 —
7 Calumet City Illinois 18,296 499 1 1 1 1
8 Aqua Illinois-Kankakee Illinois 66,527 492 1 1 4 —
9 Maywood Illinois 16,729 470 1 1 4 1
10 Naperville Illinois 172,356 424 0 0 16 —
11 Carbondale Illinois 19,751 380 3 3 2 —
12 Rockford Illinois 160,283 334 0 0 10 —
13 South Holland Illinois 23,606 300 2 2 0 —
14 Arlington Heights Illinois 75,744 256 0 0 21 —
15 Elgin Illinois 113,851 240 0 0 7 —
16 Huntley Illinois 22,702 227 1 0 0 —
17 La Salle Illinois 7,165 225 3 0 4 —
18 Silvis Illinois 7,455 222 1 1 15 1
19 Coal City Illinois 5,719 219 4 1 3 —
20 Harrisburg Illinois 7,671 215 1 1 4 1
21 Lawrenceville Illinois 3,929 214 2 2 8 2
22 Ej Water Cooperative Illinois 63,552 209 0 0 21 —
23 Ottawa Illinois 17,308 208 1 0 9 —
24 Anna Illinois 4,402 177 4 0 0 —
25 South Elgin Illinois 22,570 171 1 1 2 —
26 Western Springs Illinois 14,519 166 1 0 1 —
27 Woodstock Illinois 21,803 158 1 1 2 —
28 Waukegan Illinois 91,335 155 0 0 4 —
29 Sparta Illinois 3,808 145 2 1 6 1
30 Duquoin Illinois 4,771 134 1 1 6 1
31 Lemont Illinois 20,047 132 1 1 1 —
32 Bellwood Illinois 18,619 132 1 1 1 —
33 Charleston Illinois 16,975 128 1 1 2 —
34 Litchfield Illinois 5,810 125 3 3 35 —
35 Crest Hill Illinois 12,878 125 1 1 27 —
36 Springfield Illinois 101,516 122 0 0 3 —
37 Richton Park Illinois 11,839 108 1 1 6 —
38 Eldorado Illinois 3,745 97 1 1 0 1
39 Monmouth Illinois 8,792 91 1 0 0 —
40 Skokie Illinois 47,210 89 0 0 4 —
41 Lockport Illinois 26,936 87 0 0 40 —
42 Des Plaines Illinois 57,449 86 0 0 3 —
43 Prairie Path Water Company-Whispering Hills Illinois 8,411 86 1 1 56 —
44 Mount Prospect Illinois 42,028 85 0 0 5 —
45 Il American-Lincoln Illinois 13,158 79 1 1 0 —
46 Vandalia Illinois 6,765 77 1 0 4 —
47 Crystal Lake Illinois 33,812 75 0 0 12 —
48 Glenview Illinois 55,165 69 0 0 2 —
49 Benton Illinois 7,016 69 1 1 20 —
50 Peru Illinois 9,176 69 1 1 3 —

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 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 by raw violation count does not account for the number of people served by each system. Population weighting gives more score weight to systems serving more people; it does not estimate individual exposure.

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 records not marked resolved in that snapshot (EPA compliance records are not real-time). Exposure burden weights recorded violations in the stated source window by severity and population served. A system with one serious recorded violation and a large population served can outrank a system with many smaller unresolved monitoring violations; the two lists use different ranking methods.

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. 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 is an independent public-data tool. We are a referral service and do not provide water testing, remediation, or utility services. Rankings reflect publicly-available federal data and are provided for informational purposes. For issues with your specific water system, contact your local water utility or state drinking water program.

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