Health Risk Behaviors

Short Sleep Duration by County — US Rankings

CDC PLACES 2023 · Age-adjusted prevalence · All 3,144 US counties

Short sleep is the share of adults reporting fewer than seven hours per 24-hour period — the CDC threshold below which adverse cardiometabolic associations show up consistently in the research literature. PLACES age-adjusts the estimate. Short-sleep prevalence is notably high across the rural South and the urban Northeast, two very different geographies; shift work, commute time, and ambient noise are likely drivers but are not captured in the survey. This is a behavioral indicator, and like all self-report it understates the extremes.

How this ranking is built

Source: CDC PLACES 2023 release. Methodology: BRFSS survey responses pooled across years, fitted with a small-area statistical model, age-adjusted to the 2000 US standard population. Confidence intervals (95%) are shown for each county — wider intervals indicate more uncertainty in the modeled estimate, typically driven by smaller populations.

Lowest Short Sleep Duration Rates — Top 100 Counties

Counties with the lowest reported short sleep duration prevalence — these counties show the most favorable position on this measure.

#	County	Rate	95% CI	State
1	Boulder County	24.7%	21.2 – 28.3	Colorado
2	Deschutes County	25.6%	21.3 – 30.2	Oregon
3	Washington County	25.7%	22.6 – 28.8	Minnesota
4	Summit County	25.8%	21.3 – 30.7	Utah
5	Pitkin County	25.9%	20.4 – 31.9	Colorado
6	Carver County	26.4%	22.3 – 30.8	Minnesota
7	Washington County	26.4%	22.7 – 30.2	Vermont
8	Chittenden County	26.5%	23.3 – 29.9	Vermont
9	Benton County	26.6%	22.0 – 31.9	Oregon
10	Douglas County	26.7%	23.0 – 30.6	Colorado
11	Routt County	26.8%	21.2 – 32.9	Colorado
12	Garfield County	26.9%	21.6 – 32.4	Colorado
13	Lincoln County	26.9%	23.6 – 30.4	South Dakota
14	Larimer County	27.2%	23.4 – 31.1	Colorado
15	Teton County	27.2%	22.2 – 32.7	Wyoming
16	Dallas County	27.6%	22.7 – 32.8	Iowa
17	Washington County	27.6%	22.4 – 33.2	Nebraska
18	Buncombe County	27.7%	22.8 – 33.1	North Carolina
19	San Miguel County	27.8%	21.8 – 34.3	Colorado
20	Sioux County	27.8%	22.8 – 33.0	Iowa
21	Gunnison County	27.9%	22.4 – 33.7	Colorado
22	Blaine County	27.9%	22.6 – 33.9	Idaho
23	Missoula County	27.9%	24.3 – 32.1	Montana
24	Los Alamos County	27.9%	22.7 – 34.0	New Mexico
25	Hughes County	28.0%	22.5 – 34.5	South Dakota
26	Lewis and Clark County	28.1%	24.1 – 32.3	Montana
27	Dare County	28.1%	22.1 – 34.8	North Carolina
28	Arlington County	28.1%	23.8 – 32.8	Virginia
29	Hennepin County	28.2%	26.1 – 30.5	Minnesota
30	Scott County	28.2%	24.3 – 32.5	Minnesota
31	Minnehaha County	28.2%	24.6 – 32.0	South Dakota
32	La Plata County	28.3%	23.2 – 33.9	Colorado
33	Wasatch County	28.3%	23.8 – 33.1	Utah
34	Summit County	28.5%	22.9 – 34.4	Colorado
35	Dakota County	28.5%	25.6 – 31.4	Minnesota
36	Lake County	28.6%	22.9 – 35.1	Minnesota
37	Multnomah County	28.6%	25.3 – 32.3	Oregon
38	San Mateo County	28.7%	24.0 – 33.6	California
39	Eagle County	28.7%	23.3 – 34.7	Colorado
40	Washtenaw County	28.7%	25.4 – 32.0	Michigan
41	Meade County	28.7%	23.4 – 34.5	South Dakota
42	Perkins County	28.7%	22.8 – 35.3	South Dakota
43	Orange County	28.7%	24.8 – 32.9	Vermont
44	Winneshiek County	28.8%	23.4 – 34.9	Iowa
45	Benton County	28.8%	23.9 – 34.6	Minnesota
46	Itasca County	28.8%	23.7 – 34.2	Minnesota
47	Seward County	28.8%	23.7 – 34.8	Nebraska
48	Turner County	28.8%	22.4 – 35.2	South Dakota
49	Gallatin County	28.9%	25.2 – 33.0	Montana
50	Jones County	28.9%	22.9 – 35.6	South Dakota
51	Chelan County	28.9%	24.7 – 33.3	Washington
52	San Juan County	28.9%	24.3 – 34.1	Washington
53	Story County	29.1%	24.4 – 34.4	Iowa
54	Steele County	29.1%	23.9 – 35.0	Minnesota
55	Kingsbury County	29.1%	23.1 – 36.1	South Dakota
56	King County	29.1%	27.0 – 31.3	Washington
57	Denver County	29.2%	25.7 – 32.7	Colorado
58	Brown County	29.2%	23.8 – 35.3	Minnesota
59	Dane County	29.2%	25.9 – 32.7	Wisconsin
60	Clear Creek County	29.3%	23.0 – 36.0	Colorado
61	Park County	29.3%	23.3 – 35.5	Colorado
62	Oconee County	29.3%	23.4 – 35.4	Georgia
63	Marion County	29.3%	23.6 – 35.3	Iowa
64	Redwood County	29.3%	23.3 – 35.7	Minnesota
65	Sherburne County	29.3%	24.8 – 34.0	Minnesota
66	Banner County	29.3%	23.0 – 36.0	Nebraska
67	Washington County	29.3%	25.5 – 33.1	Oregon
68	Platte County	29.4%	24.6 – 34.7	Nebraska
69	Saunders County	29.4%	23.5 – 35.1	Nebraska
70	Custer County	29.4%	25.9 – 33.3	South Dakota
71	Harding County	29.4%	23.1 – 36.5	South Dakota
72	Addison County	29.4%	25.7 – 33.6	Vermont
73	Jefferson County	29.4%	24.7 – 34.4	Washington
74	Lake County	29.5%	23.2 – 36.3	Colorado
75	Latah County	29.5%	24.7 – 34.5	Idaho
76	Kalamazoo County	29.5%	24.3 – 35.1	Michigan
77	Becker County	29.5%	24.9 – 34.7	Minnesota
78	Grant County	29.5%	23.1 – 35.8	South Dakota
79	Sanborn County	29.5%	23.4 – 36.4	South Dakota
80	Archuleta County	29.6%	23.6 – 36.1	Colorado
81	Iowa County	29.6%	23.8 – 35.5	Iowa
82	Ottawa County	29.6%	24.9 – 34.5	Michigan
83	Cass County	29.6%	23.8 – 35.8	Nebraska
84	Potter County	29.6%	23.3 – 36.7	South Dakota
85	Pierce County	29.7%	24.0 – 36.0	Nebraska
86	Newport County	29.7%	25.2 – 34.7	Rhode Island
87	Haakon County	29.7%	23.4 – 36.6	South Dakota
88	Windham County	29.7%	25.6 – 33.7	Vermont
89	Pennington County	29.8%	24.6 – 35.2	Minnesota
90	Waseca County	29.8%	24.0 – 36.1	Minnesota
91	Keith County	29.8%	24.2 – 35.9	Nebraska
92	Hood River County	29.8%	24.1 – 36.3	Oregon
93	Adams County	29.8%	25.5 – 34.8	Washington
94	Ozaukee County	29.8%	24.4 – 35.7	Wisconsin
95	Leelanau County	29.9%	24.0 – 36.6	Michigan
96	Jackson County	29.9%	23.7 – 36.6	Minnesota
97	Sheridan County	29.9%	24.0 – 36.1	Montana
98	Douglas County	29.9%	25.0 – 35.1	Washington
99	Marin County	30.0%	24.5 – 35.9	California
100	Clinton County	30.0%	24.2 – 35.7	Michigan

Highest Short Sleep Duration Rates — Bottom 100 CountiesCounties with the highest reported short sleep duration prevalence.

#	County	Rate	95% CI	State
1	Greene County	51.0%	43.3 – 58.5	Alabama
2	Phillips County	50.5%	43.6 – 57.0	Arkansas
3	Bullock County	50.5%	42.8 – 58.2	Alabama
4	Honolulu County	49.5%	45.0 – 54.1	Hawaii
5	Lowndes County	49.5%	41.7 – 57.2	Alabama
6	Mingo County	48.7%	41.7 – 55.7	West Virginia
7	Petersburg city	48.6%	41.8 – 55.8	Virginia
8	East Carroll Parish	48.4%	40.6 – 56.4	Louisiana
9	Sumter County	48.3%	40.6 – 56.0	Alabama
10	Fayette County	48.2%	42.5 – 54.2	West Virginia
11	Hancock County	48.1%	40.4 – 55.7	Georgia
12	Claiborne Parish	47.9%	40.3 – 55.3	Louisiana
13	Macon County	47.8%	40.5 – 55.6	Georgia
14	Chicot County	47.6%	40.3 – 55.1	Arkansas
15	Dallas County	47.6%	40.8 – 54.5	Alabama
16	McDowell County	47.5%	40.4 – 54.6	West Virginia
17	Dougherty County	47.4%	41.6 – 53.2	Georgia
18	Wilcox County	47.4%	39.7 – 55.4	Alabama
19	Perry County	47.4%	40.3 – 55.6	Alabama
20	Grant County	47.3%	40.0 – 54.5	West Virginia
21	St. Francis County	47.3%	41.3 – 53.3	Arkansas
22	Madison Parish	47.1%	39.4 – 54.5	Louisiana
23	Coahoma County	47.0%	39.9 – 54.3	Mississippi
24	Tensas Parish	46.7%	38.9 – 54.9	Louisiana
25	Jefferson County	46.7%	41.0 – 52.5	Arkansas
26	Danville city	46.6%	39.5 – 54.1	Virginia
27	Lauderdale County	46.6%	39.2 – 54.0	Tennessee
28	Mississippi County	46.5%	39.7 – 53.6	Arkansas
29	Tunica County	46.4%	39.0 – 54.0	Mississippi
30	Hopewell city	46.3%	39.3 – 53.5	Virginia
31	Morehouse Parish	46.3%	39.1 – 53.3	Louisiana
32	Wetzel County	46.2%	39.0 – 53.4	West Virginia
33	Brunswick County	46.2%	39.3 – 53.3	Virginia
34	Lee County	46.2%	38.5 – 53.5	Arkansas
35	Etowah County	46.2%	39.4 – 52.9	Alabama
36	Emporia city	46.1%	38.7 – 53.6	Virginia
37	Allendale County	46.1%	38.5 – 53.6	South Carolina
38	Sharkey County	46.1%	38.6 – 54.0	Mississippi
39	Pike County	46.1%	39.5 – 52.5	Kentucky
40	Floyd County	46.1%	39.1 – 53.0	Kentucky
41	Escambia County	46.1%	39.3 – 53.3	Alabama
42	Wayne County	46.0%	39.0 – 51.7	West Virginia
43	Lawrence County	46.0%	39.1 – 52.4	Pennsylvania
44	Martin County	46.0%	38.6 – 53.7	Kentucky
45	Logan County	45.9%	39.3 – 52.4	West Virginia
46	Casey County	45.9%	38.8 – 52.9	Kentucky
47	Wilkinson County	45.8%	38.4 – 53.7	Mississippi
48	Dallas County	45.8%	38.2 – 53.6	Arkansas
49	Wyoming County	45.7%	38.8 – 52.6	West Virginia
50	Brooke County	45.7%	38.4 – 53.1	West Virginia
51	Barnwell County	45.7%	39.3 – 52.3	South Carolina
52	Claiborne County	45.7%	38.0 – 53.3	Mississippi
53	Kusilvak Census Area	45.6%	38.1 – 53.6	Alaska
54	Monroe County	45.6%	38.2 – 53.4	Alabama
55	Fulton County	45.5%	38.2 – 53.7	Kentucky
56	Terrell County	45.5%	38.1 – 53.1	Georgia
57	Somerset County	45.4%	39.5 – 51.1	Maryland
58	Red River Parish	45.4%	37.9 – 53.0	Louisiana
59	Wolfe County	45.4%	38.0 – 52.8	Kentucky
60	McCreary County	45.4%	38.2 – 52.7	Kentucky
61	Sioux County	45.3%	37.5 – 52.9	North Dakota
62	Bienville Parish	45.3%	37.8 – 52.3	Louisiana
63	Harlan County	45.3%	37.4 – 53.3	Kentucky
64	Newton County	45.2%	37.8 – 52.8	Texas
65	Randolph County	45.2%	37.6 – 52.6	Georgia
66	Holmes County	45.2%	39.4 – 51.0	Florida
67	Gallatin County	45.1%	37.4 – 52.4	Kentucky
68	Carroll County	45.1%	37.5 – 53.0	Kentucky
69	Clayton County	45.1%	40.1 – 50.6	Georgia
70	Hardeman County	45.0%	37.9 – 52.4	Tennessee
71	Humphreys County	45.0%	37.8 – 52.1	Mississippi
72	Marshall County	44.9%	38.3 – 51.2	West Virginia
73	Quitman County	44.9%	37.5 – 52.7	Mississippi
74	St. John the Baptist Parish	44.9%	37.7 – 51.5	Louisiana
75	Johnson County	44.9%	37.6 – 52.1	Kentucky
76	Hale County	44.9%	37.6 – 52.3	Alabama
77	Roane County	44.8%	37.9 – 51.6	West Virginia
78	Ritchie County	44.8%	37.7 – 52.1	West Virginia
79	Randolph County	44.8%	38.0 – 51.8	West Virginia
80	Doddridge County	44.8%	36.9 – 52.9	West Virginia
81	Houston County	44.8%	39.1 – 50.5	Georgia
82	Lincoln County	44.7%	38.1 – 51.6	West Virginia
83	Lewis County	44.7%	37.7 – 52.2	West Virginia
84	Haywood County	44.7%	37.3 – 52.3	Tennessee
85	Hocking County	44.7%	38.7 – 50.9	Ohio
86	Adair County	44.7%	37.7 – 51.8	Kentucky
87	Mitchell County	44.7%	37.4 – 51.8	Georgia
88	Talladega County	44.7%	37.7 – 51.8	Alabama
89	Macon County	44.7%	37.3 – 52.3	Alabama
90	Montgomery County	44.6%	37.8 – 51.0	Tennessee
91	Marlboro County	44.6%	37.7 – 51.3	South Carolina
92	Mississippi County	44.6%	37.7 – 51.7	Missouri
93	Hopkins County	44.6%	38.1 – 51.3	Kentucky
94	Jefferson County	44.6%	37.3 – 52.4	Georgia
95	Barbour County	44.6%	37.5 – 52.1	Alabama
96	Larue County	44.5%	37.1 – 52.4	Kentucky
97	Hart County	44.5%	36.7 – 51.9	Kentucky
98	Scioto County	44.4%	39.4 – 49.4	Ohio
99	Nodaway County	44.4%	37.7 – 51.3	Missouri
100	St. Mary Parish	44.4%	37.0 – 51.2	Louisiana

What this ranking suggests

Short sleep is one of the few risk-factor measures the CDC tracks at the county level that is essentially universal — every county has some prevalence. The rankings are most useful for spotting outliers (rural counties with unusually high or low prevalence) rather than as a clinical screening tool.

Methodology notes & limitations

Estimates are statistical model outputs, not direct measurements. Small counties have wider confidence intervals; treat narrow rank differences in those rows as within-noise. Counties where the underlying population is too small to support modeling are suppressed entirely (about 1% of US counties). All measures are age-adjusted to the 2000 US standard population. The PLACES dataset uses BRFSS self-reported data — self-report introduces known direction-of-bias in some measures (BMI is under-reported; binge drinking is under-reported), but the bias is roughly uniform across counties so ranking comparability is preserved. See the methodology page for full data-pipeline documentation.

By Logan Johnson, Founder & Data EditorPublished May 15, 2026Reviewed by Logan Johnson, Founder & Data Editor

Data source: CDC PLACES 2023 release. Measure ID: SLEEP.

← All rankings