Clasificaciones 2026

Peor infraestructura: Alabama — Clasificaciones 2026

Última actualización: 4 de junio de 2026

765 códigos postales clasificados por Pipe Failure Risk N.º 1: código postal 36267 (Millerville, AL) — 56%

Out of 765 ZIP codes with infrastructure data in Alabama, 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 765
Highest risk 56%
Median risk 29%
Average risk 29%
State Alabama

Top 100 Highest Risk ZIP Codes

Rank ZIP Code City State Pipe Failure Risk Risk Level Safety Score
1 36267 Millerville AL 56% High 65/100
2 35020 Bessemer AL 51% High 66/100
3 35032 Bon Air AL 51% High 40/100
4 35573 Kansas AL 51% High 78/100
5 36113 Montgomery AL 50% High 82/100
6 36446 Fulton AL 50% High 86/100
7 36604 Mobile AL 50% High 81/100
8 35660 Sheffield AL 49% High 57/100
9 35768 Scottsboro AL 48% High 45/100
10 36107 Montgomery AL 48% High 82/100
11 36436 Dickinson AL 48% High 73/100
12 35501 Jasper AL 47% High 81/100
13 36607 Mobile AL 47% High 76/100
14 35563 Guin AL 46% High 67/100
15 35981 Ider AL 46% High 56/100
16 36543 Huxford AL 46% High 97/100
17 36606 Mobile AL 46% High 76/100
18 36611 Mobile AL 46% High 76/100
19 35570 Hamilton AL 45% High 70/100
20 35649 Mooresville AL 45% High 40/100
21 36602 Mobile AL 45% High 81/100
22 36605 Mobile AL 45% High 71/100
23 36610 Mobile AL 45% High 76/100
24 36612 Mobile AL 45% High 86/100
25 36663 Mobile AL 45% High 94/100
26 36763 Myrtlewood AL 45% High 95/100
27 36782 Sweet Water AL 45% High 87/100
28 35204 Birmingham AL 44% High 71/100
29 35234 Birmingham AL 44% High 71/100
30 35601 Decatur AL 44% High 57/100
31 35630 Florence AL 44% High 63/100
32 35904 Gadsden AL 44% High 74/100
33 36320 Cottonwood AL 44% High 91/100
34 36603 Mobile AL 44% High 76/100
35 35207 Birmingham AL 43% High 76/100
36 35208 Birmingham AL 43% High 76/100
37 35221 Birmingham AL 43% High 71/100
38 35476 Northport AL 43% High 77/100
39 35769 Scottsboro AL 43% High 50/100
40 35901 Gadsden AL 43% High 74/100
41 36104 Montgomery AL 43% High 77/100
42 36323 Elba AL 43% High 69/100
43 36340 Geneva AL 43% High 83/100
44 36617 Mobile AL 43% High 76/100
45 35023 Bessemer AL 42% High 71/100
46 35060 Docena AL 42% High 53/100
47 35070 Garden City AL 42% High 81/100
48 35203 Birmingham AL 42% High 76/100
49 35206 Birmingham AL 42% High 71/100
50 35218 Birmingham AL 42% High 71/100
51 35224 Birmingham AL 42% High 81/100
52 35503 Jasper AL 42% High 81/100
53 35576 Millport AL 42% High 82/100
54 35616 Cherokee AL 42% High 69/100
55 35772 Stevenson AL 42% High 61/100
56 36476 River Falls AL 42% High 97/100
57 36756 Marion AL 42% High 78/100
58 36863 Lanett AL 42% High 83/100
59 36908 Gilbertown AL 42% High 70/100
60 35036 Brookside AL 41% High 78/100
61 35149 Sycamore AL 41% High 66/100
62 35205 Birmingham AL 41% High 76/100
63 36105 Montgomery AL 41% High 77/100
64 36111 Montgomery AL 41% High 72/100
65 36345 Headland AL 41% High 94/100
66 36701 Selma AL 41% High 64/100
67 35061 Dolomite AL 40% Moderate 63/100
68 35073 Graysville AL 40% Moderate 83/100
69 35217 Birmingham AL 40% Moderate 71/100
70 35222 Birmingham AL 40% Moderate 76/100
71 35401 Tuscaloosa AL 40% Moderate 71/100
72 35462 Eutaw AL 40% Moderate 76/100
73 35548 Brilliant AL 40% Moderate 82/100
74 35903 Gadsden AL 40% Moderate 74/100
75 35954 Attalla AL 40% Moderate 77/100
76 35987 Steele AL 40% Moderate 78/100
77 36037 Greenville AL 40% Moderate 87/100
78 36053 Midway AL 40% Moderate 80/100
79 36108 Montgomery AL 40% Moderate 77/100
80 36439 Excel AL 40% Moderate 98/100
81 36784 Thomasville AL 40% Moderate 83/100
82 36867 Phenix City AL 40% Moderate 77/100
83 35055 Cullman AL 39% Moderate 76/100
84 35064 Fairfield AL 39% Moderate 63/100
85 35072 Goodwater AL 39% Moderate 61/100
86 35212 Birmingham AL 39% Moderate 76/100
87 35228 Birmingham AL 39% Moderate 71/100
88 35447 Carrollton AL 39% Moderate 72/100
89 35646 Leighton AL 39% Moderate 65/100
90 36010 Brundidge AL 39% Moderate 91/100
91 36017 Clio AL 39% Moderate 75/100
92 36109 Montgomery AL 39% Moderate 77/100
93 36110 Montgomery AL 39% Moderate 77/100
94 36201 Anniston AL 39% Moderate 90/100
95 36272 Piedmont AL 39% Moderate 70/100
96 36276 Wadley AL 39% Moderate 84/100
97 36344 Hartford AL 39% Moderate 83/100
98 36455 Lockhart AL 39% Moderate 99/100
99 36548 Leroy AL 39% Moderate 94/100
100 36571 Saraland AL 39% Moderate 76/100

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.

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


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