Clasificaciones 2026

Códigos ZIP con costos de energía más altos en Florida — 2026

Última actualización: 4 de junio de 2026

1,484 códigos postales clasificados por Electricity Rate N.º 1: código postal 32003 (Fleming Island, FL) — 15.9 c/kWh
Plomo Infracciones Puntuación más baja Más seguros Riesgo de inundación Costo de energía Radón PFAS Confiabilidad Índice EJ Riesgo para compradores CO y gas Gas más seguro Carga de remediación Infracciones sin resolver (por proveedor) Equidad del agua (por proveedor)

Out of 1,484 ZIP codes with data in Florida, these are the highest-ranked areas for electricity rate. See also: National ZIP Codes with Highest Energy Costs | All Florida Rankings

Statistic Value
ZIP codes ranked 1,484
Highest value 15.9 c/kWh
Median value 15.9 c/kWh
State Florida

Top 100 Worst ZIP Codes

Rank ZIP Code City State Electricity Rate Safety Score
1 32003 Fleming Island FL 15.9 c/kWh 76/100
2 32004 Ponte Vedra Beach FL 15.9 c/kWh 84/100
3 32006 Fleming Island FL 15.9 c/kWh 94/100
4 32007 Bostwick FL 15.9 c/kWh 73/100
5 32008 Branford FL 15.9 c/kWh 74/100
6 32009 Bryceville FL 15.9 c/kWh 65/100
7 32011 Callahan FL 15.9 c/kWh 85/100
8 32013 Day FL 15.9 c/kWh 73/100
9 32024 Lake City FL 15.9 c/kWh 63/100
10 32025 Lake City FL 15.9 c/kWh 63/100
11 32026 Raiford FL 15.9 c/kWh 83/100
12 32030 Doctors Inlet FL 15.9 c/kWh 66/100
13 32033 Elkton FL 15.9 c/kWh 73/100
14 32034 Fernandina Beach FL 15.9 c/kWh 77/100
15 32035 Fernandina Beach FL 15.9 c/kWh 92/100
16 32038 Fort White FL 15.9 c/kWh 48/100
17 32040 Glen Saint Mary FL 15.9 c/kWh 65/100
18 32041 Yulee FL 15.9 c/kWh 94/100
19 32042 Graham FL 15.9 c/kWh 66/100
20 32043 Green Cove Springs FL 15.9 c/kWh 79/100
21 32044 Hampton FL 15.9 c/kWh 90/100
22 32046 Hilliard FL 15.9 c/kWh 82/100
23 32050 Middleburg FL 15.9 c/kWh 92/100
24 32052 Jasper FL 15.9 c/kWh 83/100
25 32053 Jennings FL 15.9 c/kWh 69/100
26 32054 Lake Butler FL 15.9 c/kWh 64/100
27 32055 Lake City FL 15.9 c/kWh 63/100
28 32056 Lake City FL 15.9 c/kWh 73/100
29 32058 Lawtey FL 15.9 c/kWh 88/100
30 32059 Lee FL 15.9 c/kWh 78/100
31 32060 Live Oak FL 15.9 c/kWh 81/100
32 32061 Lulu FL 15.9 c/kWh 63/100
33 32062 Mc Alpin FL 15.9 c/kWh 73/100
34 32063 Macclenny FL 15.9 c/kWh 85/100
35 32064 Live Oak FL 15.9 c/kWh 81/100
36 32065 Orange Park FL 15.9 c/kWh 71/100
37 32066 Mayo FL 15.9 c/kWh 71/100
38 32067 Orange Park FL 15.9 c/kWh 85/100
39 32068 Middleburg FL 15.9 c/kWh 77/100
40 32071 O Brien FL 15.9 c/kWh 65/100
41 32072 Olustee FL 15.9 c/kWh 66/100
42 32073 Orange Park FL 15.9 c/kWh 66/100
43 32079 Penney Farms FL 15.9 c/kWh 87/100
44 32080 Saint Augustine FL 15.9 c/kWh 50/100
45 32081 Ponte Vedra FL 15.9 c/kWh 85/100
46 32082 Ponte Vedra Beach FL 15.9 c/kWh 64/100
47 32083 Raiford FL 15.9 c/kWh 83/100
48 32084 Saint Augustine FL 15.9 c/kWh 50/100
49 32085 Saint Augustine FL 15.9 c/kWh 73/100
50 32086 Saint Augustine FL 15.9 c/kWh 60/100
51 32087 Sanderson FL 15.9 c/kWh 94/100
52 32091 Starke FL 15.9 c/kWh 71/100
53 32092 Saint Augustine FL 15.9 c/kWh 55/100
54 32094 Wellborn FL 15.9 c/kWh 88/100
55 32095 Saint Augustine FL 15.9 c/kWh 60/100
56 32096 White Springs FL 15.9 c/kWh 89/100
57 32097 Yulee FL 15.9 c/kWh 86/100
58 32099 Jacksonville FL 15.9 c/kWh 89/100
59 32102 Astor FL 15.9 c/kWh 75/100
60 32105 Barberville FL 15.9 c/kWh 66/100
61 32110 Bunnell FL 15.9 c/kWh 90/100
62 32111 Candler FL 15.9 c/kWh 53/100
63 32112 Crescent City FL 15.9 c/kWh 60/100
64 32113 Citra FL 15.9 c/kWh 74/100
65 32114 Daytona Beach FL 15.9 c/kWh 71/100
66 32115 Daytona Beach FL 15.9 c/kWh 91/100
67 32116 Daytona Beach FL 15.9 c/kWh 91/100
68 32117 Daytona Beach FL 15.9 c/kWh 76/100
69 32118 Daytona Beach FL 15.9 c/kWh 76/100
70 32119 Daytona Beach FL 15.9 c/kWh 71/100
71 32120 Daytona Beach FL 15.9 c/kWh 94/100
72 32121 Daytona Beach FL 15.9 c/kWh 91/100
73 32122 Daytona Beach FL 15.9 c/kWh 94/100
74 32123 Port Orange FL 15.9 c/kWh 93/100
75 32124 Daytona Beach FL 15.9 c/kWh 81/100
76 32125 Daytona Beach FL 15.9 c/kWh 94/100
77 32126 Daytona Beach FL 15.9 c/kWh 91/100
78 32127 Port Orange FL 15.9 c/kWh 69/100
79 32128 Port Orange FL 15.9 c/kWh 79/100
80 32129 Port Orange FL 15.9 c/kWh 74/100
81 32130 De Leon Springs FL 15.9 c/kWh 73/100
82 32131 East Palatka FL 15.9 c/kWh 77/100
83 32132 Edgewater FL 15.9 c/kWh 82/100
84 32133 Eastlake Weir FL 15.9 c/kWh 66/100
85 32134 Fort Mc Coy FL 15.9 c/kWh 55/100
86 32135 Palm Coast FL 15.9 c/kWh 96/100
87 32136 Flagler Beach FL 15.9 c/kWh 74/100
88 32137 Palm Coast FL 15.9 c/kWh 77/100
89 32138 Grandin FL 15.9 c/kWh 66/100
90 32139 Georgetown FL 15.9 c/kWh 79/100
91 32140 Florahome FL 15.9 c/kWh 73/100
92 32141 Edgewater FL 15.9 c/kWh 82/100
93 32142 Palm Coast FL 15.9 c/kWh 96/100
94 32143 Palm Coast FL 15.9 c/kWh 96/100
95 32145 Hastings FL 15.9 c/kWh 86/100
96 32147 Hollister FL 15.9 c/kWh 66/100
97 32148 Interlachen FL 15.9 c/kWh 86/100
98 32149 Edgar FL 15.9 c/kWh 66/100
99 32157 Lake Como FL 15.9 c/kWh 94/100
100 32158 Lady Lake FL 15.9 c/kWh 99/100

Methodology

Energy cost rankings use EIA residential electricity rate data by utility service area, mapped to ZIP codes. Rates are in cents per kilowatt-hour (c/kWh). The national average is approximately 16-17 c/kWh. High energy costs combined with older housing stock indicate significant homeowner burden.

Data sources: EPA Safe Drinking Water Information System (SDWIS), FEMA National Flood Insurance Program, EPA radon zone maps, EIA electricity rates, and Consumer Confidence Reports. Last updated: 2026-06-04.

Frequently Asked Questions

Why are energy costs included in home safety?

Energy burden is a key factor in home affordability and livability. ZIP codes with high electricity rates and older housing stock face compounding costs: higher bills, more expensive repairs, and greater risk of deferred maintenance that leads to safety hazards.

How can homeowners reduce energy costs?

Federal and state rebates are available for insulation, heat pumps, weatherization, and solar panels. The Inflation Reduction Act provides up to $14,000 in home energy rebates. Check energystar.gov/rebates for eligibility.

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

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