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Data report · 2026

Virginia Water Damage Risk Index

Where in Virginia is a house most likely to take on water? We combined Census housing age with ten years of daily weather for 95 of Virginia's 95 counties to rank them.

Highest index
Grayson
Score 69 of 100
Most pipe-freeze nights
Highland
39 nights ≤ 20°F a year
Oldest housing
Highland
43% built before 1960
Most heavy-rain days
Patrick
13.9 days ≥ 1 inch a year
< 4141–4747–5353–61≥ 61 index (0–100)

Key findings

  • The five highest-scoring counties are Grayson, Bath, Carroll, Floyd, Alleghany. Each combines old housing with harsher-than-average winters or frequent downpours.
  • Highland County has the oldest housing in the state, with 43% of homes built before 1960, against a county median of 20%.
  • Highland County averaged 39 nights a year at 20°F or colder, the most of any county in the data. The county median is 14.
  • Loudoun County has the newest housing, with 57% of homes built since 2000, which pulls its index down even where winters are cold.

Weather: NOAA nClimGrid-Daily county averages, 2015–2024. Housing: ACS 2020-2024.

All counties

Select a column header to sort.

Rank County Index Freeze nights Pre-1960 homes Heavy-rain days Muggy nights
1 Grayson 69 24 32% 10.3 2
2 Bath 66 27 36% 8.5 16
3 Carroll 66 19 23% 12.3 12
4 Floyd 66 23 21% 11.6 10
5 Alleghany 65 23 39% 8.6 24
6 Halifax 64 10 28% 11.2 72
7 Page 64 23 35% 8.6 26
8 Rockbridge 64 18 28% 10.2 38
9 Amherst 63 14 23% 12.8 54
10 Giles 63 25 40% 7.9 10
11 Henry 63 11 25% 13 64
12 Highland 63 39 43% 7.8 2
13 Lee 63 18 31% 9.9 31
14 Patrick 63 14 23% 13.9 42
15 Appomattox 62 12 24% 12 67
16 Arlington 62 12 34% 9.8 79
17 Nottoway 62 12 35% 9.7 78
18 Madison 61 18 24% 10.5 44
19 Prince Edward 61 11 25% 11.1 72
20 Rappahannock 61 20 26% 9.7 40
21 Charlotte 59 10 26% 11.1 70
22 Nelson 59 15 18% 12.4 52
23 Pittsylvania 59 12 22% 12.1 64
24 Southampton 59 7 24% 11.8 86
25 Surry 58 6 25% 11.2 96
26 Tazewell 58 26 31% 7.6 4
27 Lunenburg 57 10 33% 9.7 77
28 Wise 57 22 25% 9.2 14
29 Cumberland 56 14 18% 11.2 71
30 Mathews 56 6 31% 10.1 101
31 Scott 56 16 32% 8.7 33
32 Brunswick 55 9 27% 9.9 83
33 Buckingham 55 13 18% 11.4 70
34 Smyth 55 24 30% 7.5 4
35 Botetourt 54 17 19% 10.3 45
36 Sussex 54 8 22% 11.2 85
37 Bedford 53 14 12% 13 60
38 Clarke 53 21 27% 7.4 44
39 Mecklenburg 53 8 21% 11.4 81
40 Northampton 53 5 35% 9.1 105
41 Pulaski 53 22 27% 7.8 12
42 Essex 52 9 27% 9.3 82
43 Middlesex 52 7 25% 10 96
44 Wythe 52 23 24% 8 6
45 Craig 51 23 20% 8.7 22
46 Henrico 51 10 18% 10.8 81
47 Roanoke 51 17 17% 10.6 45
48 Bland 50 26 24% 7 4
49 Campbell 50 12 17% 11.2 65
50 Greene 50 17 12% 11 48
51 Greensville 50 8 18% 11.4 85
52 Goochland 49 15 8% 11.3 66
53 Rockingham 49 24 21% 7.8 21
54 Shenandoah 49 25 23% 6.5 22
55 Accomack 48 6 28% 8.8 96
56 Westmoreland 48 9 25% 8.9 83
57 Amelia 47 13 14% 10.5 77
58 Fluvanna 47 15 10% 11 68
59 Franklin 47 13 14% 11.1 54
60 King and Queen 47 9 19% 10.2 85
61 Augusta 46 22 17% 9 22
62 Buchanan 46 20 20% 8.3 25
63 Fauquier 46 17 18% 8.8 55
64 Richmond 46 9 23% 9.3 82
65 Warren 46 22 20% 7.6 35
66 Albemarle 45 15 10% 10.7 62
67 Dickenson 45 20 22% 7.7 21
68 Powhatan 45 14 7% 11.1 71
69 Culpeper 42 16 13% 9.7 56
70 Gloucester 42 6 14% 11 99
71 Hanover 42 12 11% 10.7 72
72 King William 42 9 14% 10.5 82
73 Lancaster 42 8 17% 10.1 92
74 Louisa 42 16 12% 9.8 57
75 Charles City 41 6 18% 10 98
76 Isle of Wight 41 5 12% 11.2 94
77 Northumberland 41 9 18% 8.9 86
78 Dinwiddie 40 10 13% 10 82
79 Montgomery 40 21 14% 8.4 18
80 Washington 40 19 18% 7.9 17
81 Orange 39 16 16% 8.3 57
82 Prince George 39 7 7% 11.2 91
83 Russell 39 20 19% 7 15
84 New Kent 37 8 12% 10.1 88
85 Chesterfield 36 10 6% 10.3 80
86 Frederick 36 24 9% 7.5 29
87 Caroline 35 12 12% 9.1 71
88 Fairfax 34 12 11% 8.8 75
89 James City 34 6 4% 10.8 101
90 Spotsylvania 34 16 6% 8.9 60
91 York 34 5 8% 10.6 104
92 Stafford 29 13 6% 8 75
93 King George 28 9 8% 8.6 84
94 Loudoun 26 16 4% 7.2 58
95 Prince William 26 13 4% 7.6 74

Methodology

For each county with weather data, we convert four factors to a percentile rank among those counties (0 = lowest, 100 = highest), then take a weighted average:

  • Pipe-freeze nights (nights ≤ 20°F / yr), weight 30%
  • Homes built before 1960 (% of homes), weight 30%
  • Heavy-rain days (days ≥ 1 in / yr), weight 25%
  • Muggy nights (nights ≥ 65°F / yr), weight 15%

Freezing weather and old plumbing get the most weight because burst and failing supply lines are among the most common causes of household water damage. Heavy rain drives basement flooding and sewer backups, and warm, muggy nights mark the humid air that lets mold follow. The index is relative: a low score means lower risk than other Virginia counties, not no risk.

Limits: weather values are county-wide averages, so hollows, ridges and lakeshores can differ; ACS housing figures are survey estimates; the index doesn't account for floodplains, soil, or local sewer systems. Full details on our data sources page.

Cite this data

You're welcome to use these figures with attribution. Suggested citation:

Local Water & Mold, "Virginia Water Damage Risk Index 2026," https://localwatermold.com/virginia/virginia-water-damage-risk/. Data: U.S. Census Bureau ACS 2020-2024; NOAA nClimGrid-Daily 2015–2024.

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