Clasificaciones 2026

Peor infraestructura: Charlotte Área metropolitana — 2026

Última actualización: 31 de agosto de 2026

32 códigos postales clasificados por Pipe Failure Risk N.º 1: código postal 28025 (Concord, NC) - NaN%

Out of 32 ZIP codes with infrastructure data in the Charlotte 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 32
Highest risk NaN%
Median risk NaN%
Average risk NaN%

Top 32 Highest Risk ZIP Codes

Rank ZIP Code City State Pipe Failure Risk Risk Level Safety Score
1 28025 Concord NC NaN% Unknown
2 28027 Concord NC NaN% Unknown
3 28052 Gastonia NC NaN% Unknown
4 28054 Gastonia NC NaN% Unknown
5 28056 Gastonia NC NaN% Unknown
6 28202 Charlotte NC NaN% Unknown 92/100
7 28203 Charlotte NC NaN% Unknown
8 28204 Charlotte NC NaN% Unknown 92/100
9 28205 Charlotte NC NaN% Unknown 92/100
10 28206 Charlotte NC NaN% Unknown 92/100
11 28207 Charlotte NC NaN% Unknown 92/100
12 28208 Charlotte NC NaN% Unknown 92/100
13 28209 Charlotte NC NaN% Unknown 92/100
14 28210 Charlotte NC NaN% Unknown 91/100
15 28211 Charlotte NC NaN% Unknown 92/100
16 28212 Charlotte NC NaN% Unknown 92/100
17 28213 Charlotte NC NaN% Unknown 90/100
18 28214 Charlotte NC NaN% Unknown 91/100
19 28215 Charlotte NC NaN% Unknown 71/100
20 28216 Charlotte NC NaN% Unknown 91/100
21 28217 Charlotte NC NaN% Unknown 90/100
22 28223 Charlotte NC NaN% Unknown 92/100
23 28226 Charlotte NC NaN% Unknown 92/100
24 28227 Charlotte NC NaN% Unknown 76/100
25 28262 Charlotte NC NaN% Unknown 92/100
26 28269 Charlotte NC NaN% Unknown 92/100
27 28270 Charlotte NC NaN% Unknown 91/100
28 28273 Charlotte NC NaN% Unknown 92/100
29 28277 Charlotte NC NaN% Unknown 75/100
30 28278 Charlotte NC NaN% Unknown 91/100
31 29730 Rock Hill SC NaN% Unknown 79/100
32 29732 Rock Hill SC NaN% Unknown 81/100

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: 2026-08-31.

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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