ZIP code
66535
in St. George, KansasPopulation 3,556
59.37/ 100
Ranked #5,305 of 32,066 US ZIPs (top 17%)
Ranked #53 of 682 Kansas ZIPs (top 7.8%)
Ranked #4 of 21 Manhattan, KS ZIPs (top 19%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Fiber broadband
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Stroke
2.4%
in the bottom 5.4% nationally
Lower is healthier
ST4thUS5thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Fair or poor health
13.1%
in the bottom 6.3% nationally
Lower is healthier
ST4thUS6thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Food insecurity
8.4%
in the bottom 9.2% nationally
Lower is healthier
ST7thUS9thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Mobility disability
9.6%
in the bottom 7.6% nationally
Lower is healthier
ST3rdUS8thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Coronary heart disease
4.9%
in the bottom 8.7% nationally
Lower is healthier
ST4thUS9thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›PFAS in drinking water
54.3%
in the top 10.7% nationally
Lower is healthier
ST97thUS89thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Diabetes
8.7%
in the bottom 7.1% nationally
Lower is healthier
ST4thUS7thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Independent-living disability
5.9%
in the bottom 8.3% nationally
Lower is healthier
ST5thUS8thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Vision disability
3.1%
in the bottom 4.8% nationally
Lower is healthier
ST4thUS5thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›The read
By the composite measure, St. George, Kansas (ZIP 66535) sits in the top 17% healthiest ZIPs nationally (5,305th) and the top 7.8% of Kansas (53rd).
Where the data leans one way, another reading answers it: fiber broadband lands at the national maximum, modeled stroke resides in the bottom 5.4% nationally, and modeled fair or poor health lies in the bottom 6.3% nationally. Modeled food insecurity settles in the bottom 9.2% nationally, mobility disability stands in the bottom 7.6% nationally, and coronary heart disease is in the bottom 8.7% nationally. Modeled diabetes rests in the bottom 7.1% nationally, and transportation sits in the bottom 11.1% nationally. Modeled independent living disability registers in the bottom 8.3% nationally. On the other hand, modeled pfas lands in the top 10.7% nationally.
In plain language, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. ZIP 66503, about 5.0 miles away, ranks healthier overall.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the Manhattan, KS metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 72%
16%
Mental Health
healthier than 81%
8%
Disability
healthier than 90%
7%
About typical
Environmental Hazard
healthier than 48%
14%
Preventive Care
healthier than 42%
13%
Risk Behavior
healthier than 51%
11%
Healthcare Access
healthier than 47%
5%
Holding it back
Climate / Disaster Risk
healthier than 28%
5%
Lifting this score
Chronic Disease Burden
healthier than 94%
21%
Social Need / SDOH
healthier than 82%
16%
Environmental Hazard
healthier than 65%
14%
Mental Health
healthier than 81%
8%
Disability
healthier than 94%
7%
Healthcare Access
healthier than 66%
5%
About typical
Preventive Care
healthier than 41%
13%
Risk Behavior
healthier than 42%
11%
Climate / Disaster Risk
healthier than 57%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 75%
21%
Social Need / SDOH
healthier than 85%
16%
Mental Health
healthier than 75%
8%
Disability
healthier than 95%
7%
Healthcare Access
healthier than 70%
5%
About typical
Environmental Hazard
healthier than 50%
14%
Preventive Care
healthier than 40%
13%
Risk Behavior
healthier than 55%
11%
Climate / Disaster Risk
healthier than 50%
5%
Nothing measured is holding this score back.
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
66502
Kansasshares a border
Score 50.62
Closest healthier
66503
Kansasabout 5.0 mi away
Score 64.77
Similar health profile
30248
Georgia99% similar profile
Score 55.78
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 22.6% | 19.8–25.7 |
| High blood pressure among adults | 30.7% | 27.1–34.8 |
| Cancer (non-skin) or melanoma among adults | 7.6% | 6.8–8.4 |
| Current asthma among adults | 9.7% | 8.6–11.0 |
| Coronary heart disease among adults | 4.9% | 4.4–5.5 |
| Chronic obstructive pulmonary disease among adults | 5.1% | 4.4–5.9 |
| Depression among adults | 19.9% | 17.0–23.4 |
| Diagnosed diabetes among adults | 8.7% | 7.5–10.1 |
| High cholesterol among adults who have ever been screened | 33.7% | 29.8–38.0 |
| Obesity among adults | 35.8% | 29.2–43.4 |
| Stroke among adults | 2.4% | 2.2–2.7 |
| All teeth lost among adults aged >=65 years | 9.4% | 7.5–11.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.7% | 5.4–8.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.8% | 71.5–78.1 |
| Visits to doctor for routine checkup within the past year among adults | 74.6% | 70.6–78.5 |
| Cholesterol screening among adults | 85.4% | 83.3–87.4 |
| Colorectal cancer screening among adults aged 45–75 years | 62.7% | 57.8–67.3 |
| Visited dentist or dental clinic in the past year among adults | 67.8% | 64.4–71.1 |
| Mammography use among women aged 50-74 years | 76.8% | 69.5–83.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.0% | 15.8–22.7 |
| Current cigarette smoking among adults | 12.9% | 10.6–15.3 |
| No leisure-time physical activity among adults | 21.0% | 17.3–25.0 |
| Short sleep duration among adults | 36.6% | 30.6–42.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.1% | 11.1–15.2 |
| Frequent mental distress among adults | 15.3% | 13.4–17.4 |
| Frequent physical distress among adults | 10.5% | 9.1–12.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.3% | 10.6–14.0 |
| Any disability among adults | 24.6% | 21.1–28.5 |
| Hearing disability among adults | 5.9% | 5.3–6.7 |
| Independent living disability among adults | 5.9% | 5.1–6.7 |
| Mobility disability among adults | 9.6% | 8.2–11.2 |
| Self-care disability among adults | 2.6% | 2.3–2.9 |
| Vision disability among adults | 3.1% | 2.8–3.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.3% | 16.3–22.7 |
| Food insecurity in the past 12 months among adults | 8.4% | 6.8–10.2 |
| Received food stamps in the past 12 months among adults | 4.5% | 3.6–5.7 |
| Housing insecurity in the past 12 months among adults | 8.5% | 7.1–10.1 |
| Lack of reliable transportation in the past 12 months among adults | 5.3% | 4.5–6.1 |
| Loneliness among adults | 29.1% | 24.6–33.9 |
| Utility services shut-off threat in the past 12 months among adults | 6.4% | 5.5–7.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.3% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 7.1% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 3.0% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 34.9% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 2.9% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 0.8% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 94.4% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 30.7% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 85.8% | 78.7% (51.7–94.0%) n=32,322 | 79.7% (59.7–94.6%) n=688 |
| Crowded housing (>1 per room) | 2.8% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.6%) n=688 |
| Foreign-born population | 2.4% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 47.0% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 17.3% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 37.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $78,642 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $237,100 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | $892 | $1,021 ($677–$1,912) n=25,670 | $820 ($592–$1,257) n=519 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 80.7 yr ± 1.40 | 78.9 yr (74.7–82.8) n=31,308 | 78.9 yr (76.2–81.8) n=687 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 1.40 years of 80.7, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured