Clasificaciones 2026

Peor infraestructura: Rhode Island — Clasificaciones 2026

Última actualización: 4 de junio de 2026

87 códigos postales clasificados por Pipe Failure Risk N.º 1: código postal 02906 (Providence, RI) — 68%

Out of 87 ZIP codes with infrastructure data in Rhode Island, 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 87
Highest risk 68%
Median risk 48%
Average risk 49%
State Rhode Island

Top 87 Highest Risk ZIP Codes

Rank ZIP Code City State Pipe Failure Risk Risk Level Safety Score
1 02906 Providence RI 68% Very High 64/100
2 02905 Providence RI 67% Very High 59/100
3 02908 Providence RI 66% Very High 64/100
4 02907 Providence RI 65% Very High 64/100
5 02909 Providence RI 65% Very High 59/100
6 02903 Providence RI 63% Very High 64/100
7 02872 Prudence Island RI 62% Very High 79/100
8 02840 Newport RI 61% Very High 67/100
9 02912 Providence RI 60% High 65/100
10 02918 Providence RI 60% High 65/100
11 02804 Ashaway RI 59% High 69/100
12 02815 Clayville RI 59% High 53/100
13 02823 Fiskeville RI 59% High 40/100
14 02885 Warren RI 59% High 84/100
15 02888 Warwick RI 59% High 54/100
16 02904 Providence RI 59% High 54/100
17 02889 Warwick RI 58% High 49/100
18 02895 Woonsocket RI 58% High 74/100
19 02860 Pawtucket RI 57% High 78/100
20 02802 Albion RI 56% High 63/100
21 02825 Foster RI 56% High 48/100
22 02836 Kenyon RI 56% High 53/100
23 02861 Pawtucket RI 56% High 83/100
24 02882 Narragansett RI 56% High 33/100
25 02886 Warwick RI 56% High 54/100
26 02841 Newport RI 55% High 82/100
27 02814 Chepachet RI 54% High 78/100
28 02876 Slatersville RI 54% High 74/100
29 02891 Westerly RI 54% High 41/100
30 02858 Oakland RI 53% High 63/100
31 02871 Portsmouth RI 53% High 60/100
32 02809 Bristol RI 52% High 80/100
33 02842 Middletown RI 52% High 72/100
34 02917 Smithfield RI 52% High 76/100
35 02826 Glendale RI 51% High 83/100
36 02852 North Kingstown RI 51% High 54/100
37 02910 Cranston RI 51% High 45/100
38 02816 Coventry RI 50% High 55/100
39 02863 Central Falls RI 50% High 55/100
40 02878 Tiverton RI 50% High 72/100
41 02898 Wyoming RI 50% High 65/100
42 02879 Wakefield RI 49% High 52/100
43 02914 East Providence RI 49% High 73/100
44 02835 Jamestown RI 48% High 71/100
45 02896 North Smithfield RI 48% High 74/100
46 02806 Barrington RI 47% High 55/100
47 02808 Bradford RI 47% High 53/100
48 02833 Hopkinton RI 47% High 59/100
49 02911 North Providence RI 47% High 50/100
50 02916 Rumford RI 47% High 55/100
51 02807 Block Island RI 46% High 65/100
52 02813 Charlestown RI 46% High 53/100
53 02822 Exeter RI 46% High 62/100
54 02859 Pascoag RI 46% High 78/100
55 02894 Wood River Junction RI 46% High 53/100
56 02915 Riverside RI 46% High 55/100
57 02832 Hope Valley RI 45% High 64/100
58 02864 Cumberland RI 45% High 78/100
59 02865 Lincoln RI 45% High 78/100
60 02874 Saunderstown RI 45% High 60/100
61 02893 West Warwick RI 45% High 40/100
62 02920 Cranston RI 45% High 45/100
63 02824 Forestdale RI 44% High 53/100
64 02828 Greenville RI 44% High 83/100
65 02830 Harrisville RI 44% High 63/100
66 02831 Hope RI 44% High 45/100
67 02838 Manville RI 44% High 63/100
68 02857 North Scituate RI 44% High 63/100
69 02837 Little Compton RI 43% High 55/100
70 02881 Kingston RI 43% High 70/100
71 02873 Rockville RI 42% High 40/100
72 02875 Shannock RI 42% High 40/100
73 02919 Johnston RI 42% High 50/100
74 02818 East Greenwich RI 40% Moderate 35/100
75 02892 West Kingston RI 40% Moderate 63/100
76 02827 Greene RI 38% Moderate 63/100
77 02839 Mapleville RI 38% Moderate 53/100
78 02901 Providence RI 36% Moderate 65/100
79 02902 Providence RI 36% Moderate 69/100
80 02940 Providence RI 36% Moderate 69/100
81 02880 Wakefield RI 36% Moderate 67/100
82 02887 Warwick RI 34% Moderate 64/100
83 02812 Carolina RI 33% Moderate 40/100
84 02817 West Greenwich RI 33% Moderate 64/100
85 02862 Pawtucket RI 31% Moderate 83/100
86 02921 Cranston RI 29% Moderate 55/100
87 02829 Harmony RI 18% Low 53/100

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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