2026 Study

50 Healthiest Counties in America (2026)

We ranked 2,956 US counties using CDC PLACES health data — combining obesity rate, diabetes rate, and smoking rate into a composite health score. Higher scores indicate healthier populations.

Data: CDC PLACES · 2023 Census ACS · Updated January 2026

By Eric Samuels · Founder & Editor
Published January 1, 2026 · Updated April 25, 2026

Key Findings

  • 1. Boulder County, Colorado ranks #1 with an obesity rate of 16.7%, diabetes at 6.7%, and smoking at 8.8%.
  • 2. The healthiest counties average an obesity rate roughly half the national median, reflecting strong fitness and nutrition cultures.
  • 3. Colorado, California, and the Northeast dominate the top 50, with outdoor recreation access as a common factor.
Top 10 healthiest counties — adult obesity rate
Boulder, CO 16.7% (8.8% smoking) Pitkin, CO 20.7% (8.3% smoking) Summit, UT 19.8% (6.5% smoking) King, WA 22.4% (7.2% smoking) Douglas, CO 24.6% (7.6% smoking) New York, NY 19.5% (8.5% smoking) Marin, CA 21.3% (8.4% smoking) Broomfield, CO 22.1% (8.7% smoking) San Francisco, CA 17.2% (8.8% smoking) Ouray, CO 22.8% (9.1% smoking)
Lower obesity rate = healthier on the most-tracked CDC PLACES indicator. The composite health score also factors in diabetes and smoking rates.

Top 50 Healthiest Counties

Ranked by composite health score (higher = healthier)

# County State Obesity % Diabetes % Smoking % Health Score
1 Boulder County
Pop. 328,317
Colorado 16.7% 6.7% 8.8% 94.7
2 Pitkin County
Pop. 17,119
Colorado 20.7% 6.5% 8.3% 92.3
3 Summit County
Pop. 42,709
Utah 19.8% 8.7% 6.5% 92.2
4 King County
Pop. 2,262,713
Washington 22.4% 7.2% 7.2% 91.3
5 Douglas County
Pop. 368,283
Colorado 24.6% 6.0% 7.6% 90.6
6 New York County
Pop. 1,627,788
New York 19.5% 8.4% 8.5% 90.5
7 Marin County
Pop. 258,765
California 21.3% 7.5% 8.4% 90.3
8 Broomfield County
Pop. 75,110
Colorado 22.1% 7.1% 8.7% 89.9
9 San Francisco County
Pop. 836,321
California 17.2% 10.2% 8.8% 89.6
10 Ouray County
Pop. 5,024
Colorado 22.8% 6.6% 9.1% 89.5
11 Chittenden County
Pop. 168,831
Vermont 22.7% 6.6% 9.2% 89.4
12 Morris County
Pop. 510,375
New Jersey 22.6% 7.4% 8.4% 89.4
13 Denver County
Pop. 713,734
Colorado 21.6% 7.1% 10.2% 88.5
14 Arlington County
Pop. 235,463
Virginia 25.3% 8.0% 7.0% 88.1
15 Wasatch County
Pop. 35,808
Utah 24.3% 8.4% 7.3% 88.0
16 Los Alamos County
Pop. 19,374
New Mexico 25.4% 8.0% 7.1% 87.9
17 Jefferson County
Pop. 579,715
Colorado 22.9% 7.2% 9.9% 87.6
18 Gallatin County
Pop. 122,194
Montana 23.0% 6.7% 10.4% 87.6
19 San Juan County
Pop. 18,266
Washington 24.8% 7.0% 8.9% 87.5
20 Teton County
Pop. 23,358
Wyoming 24.0% 7.3% 9.2% 87.4
21 Morgan County
Pop. 12,585
Utah 25.0% 8.1% 7.7% 87.3
22 Clear Creek County
Pop. 9,358
Colorado 23.9% 6.8% 10.1% 87.1
23 La Plata County
Pop. 56,088
Colorado 20.8% 7.5% 11.7% 86.8
24 Gunnison County
Pop. 17,158
Colorado 23.8% 7.1% 10.2% 86.7
25 Park County
Pop. 17,739
Colorado 22.5% 7.2% 11.3% 86.3
26 Summit County
Pop. 30,857
Colorado 23.7% 7.2% 10.5% 86.3
27 Santa Clara County
Pop. 1,903,297
California 21.9% 10.5% 8.2% 86.0
28 Falls Church city
Pop. 14,593
Virginia 28.6% 7.8% 6.7% 86.0
29 Routt County
Pop. 24,990
Colorado 23.0% 8.3% 10.0% 85.9
30 Fairfax County
Pop. 1,144,474
Virginia 23.8% 9.5% 8.1% 85.9
31 Larimer County
Pop. 363,561
Colorado 24.4% 7.3% 10.2% 85.9
32 Middlesex County
Pop. 1,622,896
Massachusetts 23.8% 8.5% 9.3% 85.9
33 San Mateo County
Pop. 745,100
California 22.3% 10.6% 8.0% 85.8
34 Norfolk County
Pop. 724,540
Massachusetts 23.5% 9.0% 9.3% 85.4
35 Nantucket County
Pop. 14,299
Massachusetts 26.9% 7.2% 9.1% 85.3
36 San Miguel County
Pop. 8,026
Colorado 26.3% 7.1% 9.8% 85.1
37 Western Connecticut Planning Region
Pop. 621,232
Connecticut 25.6% 8.5% 8.7% 85.1
38 Mineral County
Pop. 799
Colorado 25.1% 7.3% 10.5% 85.0
39 Alameda County
Pop. 1,651,949
California 22.5% 10.1% 9.2% 84.9
40 Lake County
Pop. 7,411
Colorado 23.9% 8.4% 10.2% 84.8
41 Hinsdale County
Pop. 939
Colorado 23.9% 10.0% 8.4% 84.8
42 Eagle County
Pop. 55,374
Colorado 23.6% 8.5% 10.3% 84.8
43 District of Columbia
Pop. 672,079
Washington D.C. 25.1% 8.5% 9.4% 84.7
44 Grand County
Pop. 15,794
Colorado 24.3% 7.2% 11.8% 84.2
45 Washington County
Pop. 130,073
Rhode Island 28.0% 7.1% 9.5% 84.1
46 Loudoun County
Pop. 427,082
Virginia 27.3% 8.9% 8.0% 84.0
47 Newport County
Pop. 85,095
Rhode Island 27.4% 7.8% 9.2% 84.0
48 Dukes County
Pop. 20,751
Massachusetts 25.3% 7.3% 11.2% 84.0
49 Bristol County
Pop. 50,568
Rhode Island 26.0% 7.9% 10.1% 83.9
50 Bergen County
Pop. 954,717
New Jersey 25.6% 9.7% 8.4% 83.8

Frequently Asked Questions

Why use obesity, diabetes, and smoking as the only health metrics?
They're the three most consistently measured indicators in CDC PLACES, the gold-standard county-level health data source. Together they correlate strongly with the broader health-outcome metrics (cardiovascular disease, premature death, hospitalization rates) without depending on access-to-care metrics that mix up "healthy population" with "good hospitals." Higher rates of all three drive most chronic-disease costs over a working lifetime.
These all feel like outcomes of community-level wealth. Is the ranking really measuring "health" or just "income"?
Largely the latter, honestly. Adult obesity, smoking rates, and Type 2 diabetes prevalence track strongly with median household income, education levels, and access to outdoor recreation. The "healthiest counties" list reads as wealthy + outdoors-oriented + educated by another name. That's real and worth knowing — but if you read this list as "move here and you'll get healthier," the causality is overstated.
Where can I find county-level life expectancy if it matters more to me?
CDC has county-level life expectancy data through the National Center for Health Statistics, and the County Health Rankings & Roadmaps project (Robert Wood Johnson Foundation) is a more comprehensive single source if you want a fuller picture. We didn't use life expectancy here because the data is updated less frequently and has known gaps for smaller counties.
How recent is this data?
CDC PLACES uses small-area estimates derived from BRFSS (Behavioral Risk Factor Surveillance System) data, typically lagging 2-3 years. The 2023 release reflects survey data from roughly 2019-2022 — meaning it captured the COVID-era shift in physical activity but may underrepresent the more recent return-to-baseline.
Does the healthiest-county ranking correlate with the safest-county ranking?
Partially. Mountain West and Northeast counties (low natural hazard, high income, outdoor culture) tend to appear on both lists. Texas and Florida counties often score well on natural hazards in inland pockets but tend to land mid-pack on health indicators. The overlap between the two rankings is roughly 25-30% for the top 50 of each.
What does this NOT capture?
Mental health (depression and anxiety prevalence are in the underlying data but not in our composite), maternal and child health, addiction-related deaths, healthcare access (rural counties can have low chronic-disease rates and terrible emergency-care access simultaneously), air quality, and the social determinants of health — income inequality, housing stability, food access. The composite score is a starting filter, not a verdict on whether a place is "healthy."

Methodology

We analyzed 2,956 US counties with complete CDC PLACES health data. Each metric was normalized to a 0-100 scale, where 100 represents the healthiest value observed across all counties.

Health Score = Normalized Obesity (30%) + Normalized Diabetes (30%) + Normalized Smoking (40%)

  • Obesity Rate (30%): Percentage of adults with BMI >= 30. Lower is healthier.
  • Diabetes Rate (30%): Percentage of adults diagnosed with diabetes. Lower is healthier.
  • Smoking Rate (40%): Percentage of adults who currently smoke. Lower is healthier. Weighted highest as the strongest predictor of preventable death.

Counties are ranked from highest (healthiest) to lowest composite score. Only counties with data for all three health metrics are included.

Data sources: CDC PLACES (Centers for Disease Control and Prevention), US Census Bureau American Community Survey 5-Year Estimates (2023). Health data represents model-based estimates at the county level. This analysis is for informational purposes only and should not be used as medical advice.