Data report · 2026

Oklahoma Water Damage Risk Index

Where in Oklahoma is a house most likely to take on water? We combined Census housing age with ten years of daily weather for 77 of Oklahoma's 77 counties to rank them.

Highest index

Hughes

Score 65 of 100

Most pipe-freeze nights

Cimarron

42 nights ≤ 20°F a year

Oldest housing

Alfalfa

51% built before 1960

Most heavy-rain days

McCurtain

19.4 days ≥ 1 inch a year

< 4343–4949–5252–57≥ 57 index (0–100)

Key findings

The five highest-scoring counties are Hughes, Kay, Ottawa, Alfalfa, Craig. Each combines old housing with harsher-than-average winters or frequent downpours.
Alfalfa County has the oldest housing in the state, with 51% of homes built before 1960, against a county median of 24%.
Cimarron County averaged 42 nights a year at 20°F or colder, the most of any county in the data. The county median is 13.
Canadian County has the newest housing, with 49% 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	Hughes	65	11	41%	13.8	100
2	Kay	65	21	45%	8.7	89
3	Ottawa	65	16	32%	13.7	89
4	Alfalfa	64	24	51%	7.2	84
5	Craig	64	17	33%	12.2	87
6	Woods	63	28	51%	6.5	75
7	Grant	62	22	42%	7.8	87
8	Washington	61	18	34%	10.1	90
9	Garfield	60	18	36%	8.3	91
10	Nowata	60	17	33%	10.4	89
11	Cimarron	59	42	45%	2.1	13
12	Kiowa	58	12	48%	7.9	102
13	Noble	58	17	33%	10	92
14	Okmulgee	58	12	32%	11.7	104
15	Seminole	58	12	30%	13.4	98
16	Washita	57	15	44%	7.4	95
17	Beaver	56	31	38%	3.9	60
18	Ellis	56	26	40%	5.7	70
19	Harper	56	30	38%	4.9	70
20	Blaine	55	18	32%	7.4	89
21	Coal	55	8	25%	14.1	108
22	Muskogee	55	10	26%	12.7	105
23	Garvin	53	10	27%	12	104
24	Oklahoma	53	14	24%	11.1	100
25	Pontotoc	53	10	23%	13.8	105
26	Tillman	53	9	43%	8.1	108
27	Cotton	52	8	34%	10.2	109
28	Dewey	52	21	32%	6.8	81
29	Jefferson	52	7	36%	10.2	113
30	Major	52	22	29%	7.3	86
31	Pittsburg	52	9	22%	14.3	105
32	Caddo	51	13	31%	9	100
33	Carter	51	7	31%	11.8	113
34	Kingfisher	51	16	25%	9.7	95
35	Okfuskee	51	12	21%	13.6	99
36	Pottawatomie	51	13	22%	12.3	99
37	Roger Mills	51	19	34%	5.3	80
38	Greer	50	12	44%	6.4	97
39	Haskell	50	9	17%	15	108
40	Latimer	50	9	18%	16.4	104
41	Lincoln	50	15	18%	11.9	96
42	Mayes	50	15	17%	13.1	92
43	Osage	50	18	23%	9.3	89
44	Pawnee	50	17	23%	9.5	95
45	Stephens	50	9	27%	11.4	106
46	Harmon	49	12	43%	6.4	98
47	Payne	49	16	18%	10.6	96
48	Tulsa	49	14	23%	10.2	101
49	Le Flore	47	9	17%	17.4	100
50	Choctaw	46	6	16%	15.3	114
51	Logan	46	16	16%	10.8	96
52	Woodward	46	27	24%	6.2	74
53	Grady	45	12	23%	9.9	101
54	Texas	45	30	25%	2.4	44
55	Adair	44	14	14%	13.9	84
56	Cherokee	44	13	10%	14	93
57	Creek	44	15	15%	10.8	98
58	Johnston	44	7	18%	12.4	114
59	Murray	44	8	19%	12.1	110
60	Pushmataha	44	7	15%	16.1	107
61	Sequoyah	44	10	9%	16.2	103
62	Atoka	43	7	15%	14	111
63	Bryan	43	6	13%	14.8	121
64	Comanche	43	10	22%	10.4	105
65	Delaware	43	15	11%	13.6	84
66	Jackson	42	10	29%	7.1	104
67	McCurtain	42	6	11%	19.4	107
68	Rogers	42	15	10%	11.4	98
69	Beckham	41	15	26%	6.3	88
70	Custer	41	18	21%	6.5	87
71	McIntosh	41	9	12%	13.1	107
72	Wagoner	37	12	7%	11.7	102
73	Love	36	6	16%	11.5	118
74	Marshall	36	6	10%	12.9	120
75	McClain	36	12	9%	11.2	100
76	Cleveland	33	12	7%	10.6	100
77	Canadian	31	14	8%	9.1	96

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