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.
Best 100 counties for Physical Inactivity.
Highest Physical Inactivity Rates — Bottom 100 CountiesCounties with the highest reported physical inactivity prevalence.
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.
Data source: CDC PLACES 2023 release. Measure ID: LPA.