Códigos postales con peor deterioro de infraestructura

Out of 38,487 ZIP codes with infrastructure data across all 50 states, these areas have the highest modeled infrastructure stress score — a 0-100 composite of water-pipe decay, bridge condition, gas-pipeline incident history, and 90-day service-disruption probability. Each ZIP links to a full safety report with the complete breakdown.

Every figure is a modeled estimate from public federal data — not an engineering assessment, a prediction of failure, or a judgment about any specific structure.

Statistic	Value
ZIP codes ranked	38,487
Highest stress score	91 / 100
100th-ranked score	82 / 100

Top 100 Highest Infrastructure Stress ZIP Codes

Rank	ZIP Code	City	State	Infrastructure Stress Score
1	79342	Loop	TX	91 / 100
2	19605	Reading	PA	91 / 100
3	19602	Reading	PA	90 / 100
4	12508	Beacon	NY	90 / 100
5	19555	Shoemakersville	PA	90 / 100
6	19601	Reading	PA	89 / 100
7	19604	Reading	PA	89 / 100
8	19607	Reading	PA	89 / 100
9	19611	Reading	PA	89 / 100
10	26292	Thomas	WV	89 / 100
11	19609	Reading	PA	88 / 100
12	12803	South Glens Falls	NY	85 / 100
13	46750	Huntington	IN	85 / 100
14	70121	New Orleans	LA	85 / 100
15	19562	Topton	PA	84 / 100
16	19545	New Berlinville	PA	84 / 100
17	10925	Greenwood Lake	NY	83 / 100
18	12180	Troy	NY	83 / 100
19	12182	Troy	NY	83 / 100
20	12401	Kingston	NY	83 / 100
21	13021	Auburn	NY	83 / 100
22	13026	Aurora	NY	83 / 100
23	13140	Port Byron	NY	83 / 100
24	13404	Martinsburg	NY	83 / 100
25	14011	Attica	NY	83 / 100
26	14427	Castile	NY	83 / 100
27	15316	Brave	PA	83 / 100
28	15425	Connellsville	PA	83 / 100
29	15474	Point Marion	PA	83 / 100
30	15746	Hillsdale	PA	83 / 100
31	16354	Titusville	PA	83 / 100
32	16726	Cyclone	PA	83 / 100
33	18235	Lehighton	PA	83 / 100
34	18240	Nesquehoning	PA	83 / 100
35	18252	Tamaqua	PA	83 / 100
36	18651	Plymouth	PA	83 / 100
37	24801	Welch	WV	83 / 100
38	24878	Premier	WV	83 / 100
39	25601	Logan	WV	83 / 100
40	26003	Wheeling	WV	83 / 100
41	26070	Wellsburg	WV	83 / 100
42	26147	Grantsville	WV	83 / 100
43	26159	Paden City	WV	83 / 100
44	26301	Clarksburg	WV	83 / 100
45	26386	Lumberport	WV	83 / 100
46	26419	Pine Grove	WV	83 / 100
47	26448	Wallace	WV	83 / 100
48	29364	Lockhart	SC	83 / 100
49	49037	Battle Creek	MI	83 / 100
50	50501	Fort Dodge	IA	83 / 100
51	50535	Early	IA	83 / 100
52	50552	Knierim	IA	83 / 100
53	50557	Lehigh	IA	83 / 100
54	50562	Mallard	IA	83 / 100
55	52249	Keystone	IA	83 / 100
56	52301	Marengo	IA	83 / 100
57	56253	Lake Lillian	MN	83 / 100
58	61450	La Harpe	IL	83 / 100
59	61482	Table Grove	IL	83 / 100
60	61484	Vermont	IL	83 / 100
61	61602	Peoria	IL	83 / 100
62	61603	Peoria	IL	83 / 100
63	61604	Peoria	IL	83 / 100
64	61606	Peoria	IL	83 / 100
65	62316	Bowen	IL	83 / 100
66	62439	Lawrenceville	IL	83 / 100
67	62510	Assumption	IL	83 / 100
68	62513	Blue Mound	IL	83 / 100
69	62667	Modesto	IL	83 / 100
70	65320	Arrow Rock	MO	83 / 100
71	66853	Hamilton	KS	83 / 100
72	66860	Madison	KS	83 / 100
73	66870	Virgil	KS	83 / 100
74	68324	Burr	NE	83 / 100
75	68440	Steele City	NE	83 / 100
76	68882	Wolbach	NE	83 / 100
77	74056	Pawhuska	OK	83 / 100
78	74354	Miami	OK	83 / 100
79	74447	Okmulgee	OK	83 / 100
80	74637	Fairfax	OK	83 / 100
81	04863	Vinalhaven	ME	83 / 100
82	16701	Bradford	PA	83 / 100
83	26289	Red Creek	WV	83 / 100
84	19512	Boyertown	PA	82 / 100
85	10928	Highland Falls	NY	82 / 100
86	26101	Parkersburg	WV	82 / 100
87	50853	Massena	IA	82 / 100
88	84086	Woodruff	UT	82 / 100
89	24870	Oceana	WV	82 / 100
90	38738	Parchman	MS	82 / 100
91	62531	Edinburg	IL	82 / 100
92	64661	Mercer	MO	82 / 100
93	71064	Plain Dealing	LA	82 / 100
94	71322	Bunkie	LA	82 / 100
95	12601	Poughkeepsie	NY	82 / 100
96	12078	Gloversville	NY	82 / 100
97	13367	Lowville	NY	82 / 100
98	14541	Romulus	NY	82 / 100
99	18224	Freeland	PA	82 / 100
100	18250	Summit Hill	PA	82 / 100

Methodology

The infrastructure stress score is a modeled 0-100 composite of four public federal datasets: water-pipe decay (modeled with an exponential-decay bathtub curve from Census ACS housing age, EPA ECHO compliance records, and EPA infrastructure-needs data), bridge condition (FHWA National Bridge Inventory), gas-pipeline incident history (PHMSA), and a 90-day service-disruption estimate (EPA and FEMA data). The four signals are weighted and normalized to a 0-100 scale. The score is an area-level estimate — it does not reflect the condition of any individual home, pipe, bridge, or pipeline, and it is not an engineering assessment.

Last updated: 2026-06-03.

Frequently Asked Questions

What does the infrastructure stress score measure?

It is a modeled 0-100 score that combines water-pipe decay, bridge condition, gas-pipeline incident history, and a 90-day service-disruption estimate into one area-level measure of how aging or strained the surrounding infrastructure is. It is an estimate from public federal data, not an engineering assessment.

How is the score calculated?

Each of the four signals is normalized to a 0-100 scale, then combined as a weighted composite. Water-pipe decay carries the most weight, followed by the 90-day disruption estimate, bridge condition, and gas-pipeline incident history. Inputs come from the U.S. Census Bureau, EPA, FHWA, PHMSA, and FEMA.

Does a high rank mean the infrastructure is unsafe?

No. The ranking reflects area-level modeled data, not the safety or condition of any specific pipe, bridge, or pipeline. It is a planning estimate to help homeowners and buyers understand local infrastructure — not a prediction of failure.

Are these figures an engineering assessment?

No. ZipCheckup is an information service. The figures are modeled estimates from public federal data and are not engineering assessments, inspections, or a guarantee of any future condition.

Códigos postales con peor deterioro de infraestructura — 2026