Clasificaciones 2026

Peor infraestructura: Minnesota — Clasificaciones 2026

Última actualización: 4 de junio de 2026

923 códigos postales clasificados por Pipe Failure Risk N.º 1: código postal 55335 (Gibbon, MN) — 62%

Out of 923 ZIP codes with infrastructure data in Minnesota, these areas face the highest estimated risk of water pipe failure based on infrastructure age, funding gaps, and violation history.

Statistic Value
ZIP codes ranked 923
Highest risk 62%
Median risk 39%
Average risk 39%
State Minnesota

Top 100 Highest Risk ZIP Codes

Rank ZIP Code City State Pipe Failure Risk Risk Level Safety Score
1 55335 Gibbon MN 62% Very High 33/100
2 56129 Ellsworth MN 60% High 57/100
3 56735 Lancaster MN 60% High 37/100
4 56009 Alden MN 58% High 42/100
5 56117 Bigelow MN 58% High 61/100
6 55746 Hibbing MN 57% High 53/100
7 55409 Minneapolis MN 56% High 68/100
8 56030 Essig MN 56% High 40/100
9 56125 Dovray MN 56% High 66/100
10 56160 Odin MN 56% High 54/100
11 56253 Lake Lillian MN 55% High 45/100
12 56297 Wood Lake MN 55% High 66/100
13 55407 Minneapolis MN 54% High 63/100
14 55412 Minneapolis MN 54% High 68/100
15 55419 Minneapolis MN 54% High 63/100
16 56010 Amboy MN 54% High 42/100
17 56022 Darfur MN 54% High 63/100
18 56056 La Salle MN 54% High 40/100
19 56090 Vernon Center MN 54% High 66/100
20 56161 Okabena MN 54% High 67/100
21 56216 Blomkest MN 54% High 51/100
22 56228 Cosmos MN 54% High 61/100
23 56274 Norcross MN 54% High 66/100
24 55385 Stewart MN 53% High 51/100
25 55417 Minneapolis MN 53% High 63/100
26 56054 Lafayette MN 53% High 55/100
27 56111 Alpha MN 53% High 65/100
28 56212 Bellingham MN 53% High 70/100
29 56230 Danube MN 53% High 45/100
30 56523 Climax MN 53% High 59/100
31 56580 Sabin MN 53% High 64/100
32 55105 Saint Paul MN 52% High 63/100
33 55332 Fairfax MN 52% High 68/100
34 55402 Minneapolis MN 52% High 63/100
35 55405 Minneapolis MN 52% High 68/100
36 55406 Minneapolis MN 52% High 68/100
37 55734 Eveleth MN 52% High 79/100
38 56039 Granada MN 52% High 61/100
39 56227 Correll MN 52% High 68/100
40 56257 Marietta MN 52% High 66/100
41 56267 Morris MN 52% High 45/100
42 56537 Fergus Falls MN 52% High 38/100
43 56550 Hendrum MN 52% High 53/100
44 56758 Strandquist MN 52% High 69/100
45 55410 Minneapolis MN 51% High 63/100
46 55418 Minneapolis MN 51% High 68/100
47 55731 Ely MN 51% High 78/100
48 55806 Duluth MN 51% High 76/100
49 55812 Duluth MN 51% High 76/100
50 55953 Lyle MN 51% High 54/100
51 55954 Mabel MN 51% High 69/100
52 56045 Hollandale MN 51% High 60/100
53 56083 Sanborn MN 51% High 55/100
54 56134 Hardwick MN 51% High 66/100
55 56140 Ihlen MN 51% High 66/100
56 56173 Steen MN 51% High 51/100
57 56223 Clarkfield MN 51% High 69/100
58 56525 Comstock MN 51% High 69/100
59 56583 Tintah MN 51% High 65/100
60 56594 Wolverton MN 51% High 69/100
61 55104 Saint Paul MN 50% High 63/100
62 55411 Minneapolis MN 50% High 68/100
63 55805 Duluth MN 50% High 76/100
64 55807 Duluth MN 50% High 76/100
65 55912 Austin MN 50% High 53/100
66 55950 Lansing MN 50% High 53/100
67 55982 Waltham MN 50% High 53/100
68 55987 Winona MN 50% High 57/100
69 56025 Easton MN 50% High 66/100
70 56033 Frost MN 50% High 55/100
71 56042 Hartland MN 50% High 65/100
72 56046 Hope MN 50% High 40/100
73 56073 New Ulm MN 50% High 62/100
74 56137 Heron Lake MN 50% High 64/100
75 56162 Ormsby MN 50% High 64/100
76 56181 Welcome MN 50% High 66/100
77 56218 Boyd MN 50% High 62/100
78 56517 Beltrami MN 50% High 58/100
79 56572 Pelican Rapids MN 50% High 40/100
80 55018 Dennison MN 49% High 66/100
81 55052 Morristown MN 49% High 63/100
82 55396 Winthrop MN 49% High 65/100
83 55424 Minneapolis MN 49% High 63/100
84 55765 Meadowlands MN 49% High 75/100
85 55924 Claremont MN 49% High 67/100
86 55965 Preston MN 49% High 62/100
87 56026 Ellendale MN 49% High 65/100
88 56088 Truman MN 49% High 55/100
89 56121 Ceylon MN 49% High 70/100
90 56147 Kenneth MN 49% High 66/100
91 56165 Reading MN 49% High 64/100
92 56232 Dawson MN 49% High 64/100
93 56262 Milan MN 49% High 55/100
94 56293 Wabasso MN 49% High 69/100
95 56294 Wanda MN 49% High 66/100
96 56516 Bejou MN 49% High 52/100
97 55090 Willernie MN 48% High 53/100
98 55107 Saint Paul MN 48% High 45/100
99 55408 Minneapolis MN 48% High 68/100
100 55808 Duluth MN 48% High 71/100

Methodology

Infrastructure risk rankings combine four data sources, each weighted equally (25%): (1) EPA Drinking Water Infrastructure Needs Survey (DWINS 2023) — state-level 20-year funding gap per capita for pipe replacement, treatment, and storage; (2) Census ACS housing vintage — percentage of homes built before 1980, when lead solder and galvanized pipes were common; (3) EPA SDWIS violation and enforcement data — system-level compliance history; (4) Lead and Copper Rule indicators — service line material inventories and 90th percentile lead testing results. The combined score is normalized to a 0-100% probability scale.

Data sources: EPA DWINS 2023, Census ACS, EPA SDWIS, Lead and Copper Rule data. Last updated: 2026-06-04.

Frequently Asked Questions

What does pipe failure probability mean?

Pipe failure probability estimates the likelihood of water main breaks, lead contamination from corroded pipes, or service disruptions based on infrastructure age, state funding gaps, violation history, and lead indicators. It is not a prediction of imminent failure, but a risk assessment based on known factors.

How is infrastructure risk calculated?

The risk score combines four equally weighted factors: state-level infrastructure funding gap per capita (from EPA DWINS 2023), housing vintage (Census ACS pre-1980 housing percentage), water system violation and enforcement history (EPA SDWIS), and lead exposure indicators (service line probability and testing results).

What can homeowners do about aging infrastructure?

Test your tap water annually, especially for lead. Check if your home has a lead service line through your water utility. Consider a whole-house water filter (NSF/ANSI 53 certified). Review your water system Consumer Confidence Report for violation history.

Does high risk mean my water is unsafe right now?

Not necessarily. Infrastructure risk indicates long-term vulnerability, not current contamination. However, areas with aging pipes and high violation counts have a statistically higher chance of water quality issues. Regular testing is the best way to verify your water safety.

Explore More Rankings

Cómo se calcula esta clasificación, fuentes de datos y limitaciones: Metodología de clasificaciones →


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