Clasificaciones 2026

Peor infraestructura: Philadelphia Área metropolitana — 2026

Última actualización: 4 de junio de 2026

141 códigos postales clasificados por Pipe Failure Risk N.º 1: código postal 16172 (New Wilmington, PA) — 59%

Out of 141 ZIP codes with infrastructure data in the Philadelphia metro area, 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 141
Highest risk 59%
Median risk 41%
Average risk 41%

Top 100 Highest Risk ZIP Codes

Rank ZIP Code City State Pipe Failure Risk Risk Level Safety Score
1 16172 New Wilmington PA 59% High 82/100
2 19134 Philadelphia PA 58% High 87/100
3 19137 Philadelphia PA 58% High 92/100
4 19143 Philadelphia PA 58% High 87/100
5 19132 Philadelphia PA 57% High 87/100
6 19140 Philadelphia PA 57% High 92/100
7 19148 Philadelphia PA 57% High 87/100
8 08103 Camden NJ 57% High 70/100
9 19119 Philadelphia PA 56% High 87/100
10 19124 Philadelphia PA 56% High 87/100
11 19138 Philadelphia PA 56% High 87/100
12 19141 Philadelphia PA 56% High 87/100
13 19151 Philadelphia PA 56% High 87/100
14 08102 Camden NJ 56% High 70/100
15 17959 New Philadelphia PA 55% High 69/100
16 19120 Philadelphia PA 55% High 87/100
17 19133 Philadelphia PA 55% High 92/100
18 19139 Philadelphia PA 55% High 92/100
19 19142 Philadelphia PA 55% High 87/100
20 19144 Philadelphia PA 55% High 87/100
21 08104 Camden NJ 55% High 65/100
22 19145 Philadelphia PA 54% High 87/100
23 08105 Camden NJ 54% High 60/100
24 19108 Philadelphia PA 53% High 96/100
25 19118 Philadelphia PA 53% High 92/100
26 19125 Philadelphia PA 53% High 92/100
27 19126 Philadelphia PA 53% High 92/100
28 19131 Philadelphia PA 53% High 87/100
29 19135 Philadelphia PA 53% High 87/100
30 19149 Philadelphia PA 52% High 87/100
31 08316 Dorchester NJ 52% High 63/100
32 19136 Philadelphia PA 51% High 87/100
33 19146 Philadelphia PA 51% High 87/100
34 19147 Philadelphia PA 51% High 87/100
35 19150 Philadelphia PA 51% High 87/100
36 19383 West Chester PA 51% High 54/100
37 19805 Wilmington DE 51% High 73/100
38 19806 Wilmington DE 51% High 78/100
39 15074 Rochester PA 50% High 70/100
40 19107 Philadelphia PA 50% High 92/100
41 19111 Philadelphia PA 50% High 87/100
42 19127 Philadelphia PA 50% High 82/100
43 19128 Philadelphia PA 50% High 82/100
44 19129 Philadelphia PA 50% High 87/100
45 19802 Wilmington DE 50% High 73/100
46 19103 Philadelphia PA 49% High 82/100
47 19104 Philadelphia PA 49% High 92/100
48 19106 Philadelphia PA 49% High 87/100
49 19121 Philadelphia PA 49% High 92/100
50 19130 Philadelphia PA 49% High 87/100
51 19013 Chester PA 48% High 60/100
52 19102 Philadelphia PA 48% High 92/100
53 19152 Philadelphia PA 48% High 87/100
54 19809 Wilmington DE 48% High 78/100
55 19153 Philadelphia PA 47% High 77/100
56 19154 Philadelphia PA 47% High 87/100
57 19804 Wilmington DE 47% High 68/100
58 19114 Philadelphia PA 46% High 82/100
59 19382 West Chester PA 46% High 46/100
60 19801 Wilmington DE 46% High 73/100
61 19115 Philadelphia PA 45% High 87/100
62 19116 Philadelphia PA 45% High 87/100
63 19380 West Chester PA 44% High 46/100
64 19803 Wilmington DE 44% High 73/100
65 19122 Philadelphia PA 43% High 92/100
66 19807 Wilmington DE 43% High 90/100
67 19810 Wilmington DE 43% High 73/100
68 07930 Chester NJ 43% High 66/100
69 15771 Rochester Mills PA 41% High 53/100
70 16142 New Wilmington PA 41% High 82/100
71 19123 Philadelphia PA 41% High 92/100
72 19808 Wilmington DE 41% High 73/100
73 08759 Manchester Township NJ 38% Moderate 73/100
74 08101 Camden NJ 37% Moderate 75/100
75 17345 Manchester PA 36% Moderate 52/100
76 19381 West Chester PA 34% Moderate 61/100
77 19388 West Chester PA 34% Moderate 54/100
78 21102 Manchester MD 32% Moderate 70/100
79 21619 Chester MD 31% Moderate 80/100
80 21620 Chestertown MD 31% Moderate 84/100
81 19019 Philadelphia PA 30% Moderate 96/100
82 19092 Philadelphia PA 30% Moderate 96/100
83 19093 Philadelphia PA 30% Moderate 96/100
84 19099 Philadelphia PA 30% Moderate 96/100
85 19101 Philadelphia PA 30% Moderate 92/100
86 19105 Philadelphia PA 30% Moderate 67/100
87 19109 Philadelphia PA 30% Moderate 96/100
88 19110 Philadelphia PA 30% Moderate 92/100
89 19112 Philadelphia PA 30% Moderate 92/100
90 19113 Philadelphia PA 30% Moderate 67/100
91 19155 Philadelphia PA 30% Moderate 96/100
92 19160 Philadelphia PA 30% Moderate 96/100
93 19161 Philadelphia PA 30% Moderate 96/100
94 19162 Philadelphia PA 30% Moderate 96/100
95 19170 Philadelphia PA 30% Moderate 96/100
96 19171 Philadelphia PA 30% Moderate 96/100
97 19172 Philadelphia PA 30% Moderate 96/100
98 19173 Philadelphia PA 30% Moderate 96/100
99 19175 Philadelphia PA 30% Moderate 96/100
100 19176 Philadelphia PA 30% Moderate 96/100

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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