Health Risk Behaviors

Physical Inactivity by County — US Rankings

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

PLACES measures the share of adults who report no leisure-time physical activity outside of work in the past month. The framing matters: the measure does not pick up physical labor on the job, which means counties with high agricultural or manual-trades employment can rank as "inactive" while having more total daily movement than office-job counties that record fewer inactivity respondents. Age adjustment helps but does not erase this. High-prevalence counties cluster in the rural South, the lower Mississippi Delta, and central Appalachia.

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 Physical Inactivity Rates — Top 100 Counties

Counties with the lowest reported physical inactivity prevalence — these counties show the most favorable position on this measure.

#CountyRate
1Boulder County12.2%
2Pitkin County12.6%
3Los Alamos County12.7%
4Jefferson County12.8%
5Hinsdale County12.9%
6Broomfield County13.1%
7Douglas County13.3%
8Ouray County13.5%
9San Juan County13.6%
10Summit County13.7%
11King County13.8%
12Clear Creek County13.9%
13Larimer County13.9%
14Chittenden County14.1%
15San Miguel County14.2%
16Routt County14.5%
17Gallatin County14.5%
18Park County14.6%
19Gunnison County14.7%
20Island County14.7%
21Jefferson County14.7%
22Mineral County14.9%
23Morgan County14.9%
24Gilpin County15.0%
25Summit County15.0%
26Arlington County15.1%
27Elbert County15.2%
28La Plata County15.3%
29District of Columbia15.3%
30Falls Church city15.3%
31Teller County15.4%
32Deschutes County15.6%
33Utah County15.6%
34Hamilton County15.7%
35Grand County15.8%
36Howard County15.8%
37Eagle County15.9%
38San Juan County15.9%
39Washington County15.9%
40Kitsap County16.0%
41Cumberland County16.1%
42Nantucket County16.4%
43Norfolk County16.4%
44Thurston County16.4%
45Barnstable County16.5%
46Washtenaw County16.5%
47Missoula County16.5%
48Wasatch County16.5%
49Whatcom County16.5%
50Marin County16.6%
51Chaffee County16.6%
52Benton County16.7%
53Coconino County16.8%
54Washington County16.8%
55Lake County16.9%
56Dukes County16.9%
57Cache County16.9%
58Juneau City and Borough17.0%
59Custer County17.0%
60Addison County17.0%
61St. Johns County17.1%
62Delaware County17.1%
63Grand Isle County17.1%
64Washington County17.1%
65Monroe County17.2%
66Davis County17.2%
67Oconee County17.3%
68Lewis and Clark County17.3%
69Madison County17.3%
70Lincoln County17.3%
71Williamson County17.3%
72Rockingham County17.4%
73Washington County17.4%
74Snohomish County17.4%
75Denver County17.5%
76Multnomah County17.5%
77Skamania County17.5%
78Arapahoe County17.7%
79Archuleta County17.7%
80Hampshire County17.7%
81Burleigh County17.7%
82Windsor County17.7%
83Teton County17.7%
84Bristol County17.8%
85El Dorado County17.9%
86Placer County17.9%
87Ada County17.9%
88Middlesex County17.9%
89Leelanau County17.9%
90Hunterdon County17.9%
91Wake County17.9%
92Kane County17.9%
93Clallam County17.9%
94Garfield County17.9%
95Alpine County18.0%
96Rio Blanco County18.0%
97Carroll County18.0%
98Wallowa County18.0%
99Flathead County18.1%
100Morris County18.1%

Best 100 counties for Physical Inactivity.

Highest Physical Inactivity Rates — Bottom 100 CountiesCounties with the highest reported physical inactivity prevalence.
#CountyRate
1Dimmit County48.9%
2Zavala County48.2%
3Starr County47.6%
4Zapata County47.1%
5Jim Hogg County46.6%
6Humphreys County46.2%
7Tunica County44.8%
8Willacy County44.5%
9Holmes County44.4%
10Sharkey County44.3%
11Desha County44.3%
12East Carroll Parish44.1%
13Quitman County43.8%
14Jefferson County43.3%
15Bullock County42.7%
16McDowell County42.6%
17Madison Parish42.5%
18Todd County42.3%
19Yazoo County42.3%
20Maverick County42.2%
21Issaquena County42.1%
22Coahoma County42.1%
23Claiborne County42.1%
24Brooks County42.0%
25Greene County42.0%
26Phillips County41.9%
27Oglala Lakota County41.7%
28Reeves County41.6%
29Mingo County41.5%
30Sunflower County41.5%
31Claiborne Parish41.5%
32Bolivar County41.3%
33St. Francis County41.2%
34Lee County41.2%
35Leflore County41.1%
36Presidio County41.0%
37Cochran County41.0%
38La Salle County40.9%
39Dunklin County40.6%
40Noxubee County40.6%
41Pemiscot County40.5%
42Lafayette County40.4%
43Wilkinson County40.3%
44Perry County40.3%
45Duval County40.2%
46Macon County40.2%
47Hudspeth County40.1%
48Webb County40.0%
49Bienville Parish40.0%
50Sevier County40.0%
51Deaf Smith County39.9%
52Mississippi County39.8%
53Tallahatchie County39.8%
54Scott County39.8%
55Adams County39.8%
56Tensas Parish39.8%
57Chicot County39.8%
58Adair County39.7%
59Sioux County39.7%
60Frio County39.5%
61Randolph County39.5%
62Jim Wells County39.4%
63Washington County39.4%
64Atkinson County39.4%
65Ashley County39.4%
66Lowndes County39.3%
67Stewart County39.2%
68Wilcox County39.1%
69Lake County39.0%
70Lawrence County39.0%
71Telfair County39.0%
72Culberson County38.9%
73Jefferson Davis County38.8%
74Bradley County38.6%
75Jackson County38.5%
76Kusilvak Census Area38.5%
77Panola County38.4%
78Amite County38.4%
79Nevada County38.3%
80Jasper County38.1%
81Seward County38.1%
82Kenedy County38.0%
83Hidalgo County38.0%
84Red River Parish38.0%
85Hempstead County38.0%
86Crittenden County38.0%
87Webster County37.9%
88Ziebach County37.9%
89Terrell County37.9%
90Hendry County37.9%
91Calhoun County37.8%
92Harmon County37.7%
93Yalobusha County37.7%
94Pike County37.7%
95Montgomery County37.7%
96Concordia Parish37.7%
97Hancock County37.7%
98Woodruff County37.7%
99Buffalo County37.6%
100Mellette County37.5%

Worst 100 counties for Physical Inactivity.

What this ranking suggests

Read this ranking as one component of a metabolic-environment profile rather than a fitness ranking. It pairs naturally with the OBESITY, DIABETES, and FOODINSECU rankings on this site. Walkability indices and transit access are not captured here but underwrite a lot of the variance.

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 Reviewed by Logan Johnson, Founder & Data Editor

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

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