ZIP code
66078
in Princeton, KansasPopulation 805
50.27/ 100
Ranked #15,874 of 32,066 US ZIPs (top 50%)
Ranked #304 of 682 Kansas ZIPs (top 45%)
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.
Arsenic in groundwater
1.5%
in the bottom 12.9% nationally
Lower is healthier
ST6thUS13thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
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 ›Distance to a hazardous-chemical facility
6.2 mi
in the top 23% nationally
Higher is healthier
ST96thUS77thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›The read
On the composite measure, Princeton, Kansas (ZIP 66078) stands in the top 50% healthiest ZIPs nationally (15,874th) and the top 45% of Kansas (304th).
Several of the strongest readings define how this area looks: modeled industrial-pollution burden lies in the bottom 11.0% nationally, and homeownership is in the top 12.5% nationally. Modeled arsenic registers in the bottom 12.9% nationally, and transportation noise lies in the bottom 14.3% nationally. Households without a vehicle is in the bottom 16% nationally. On the other hand, modeled extreme heat registers in the top 15% nationally, and fine-particle lies in the top 17% nationally. Recreation is at the national minimum, shared with about 35% of ZIPs. Physicians registers at the national minimum, shared with about 38% of ZIPs. Modeled obesity lies in the top 18% nationally.
For clarity, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. ZIP 66067, just across the boundary, ranks better overall among the ZIPs nearby.
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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 77%
14%
Mental Health
healthier than 64%
8%
About typical
Chronic Disease Burden
healthier than 42%
21%
Social Need / SDOH
healthier than 48%
16%
Preventive Care
healthier than 40%
13%
Risk Behavior
healthier than 53%
11%
Disability
healthier than 44%
7%
Holding it back
Climate / Disaster Risk
healthier than 29%
5%
Healthcare Access
healthier than 34%
5%
Lifting this score
Environmental Hazard
healthier than 96%
14%
About typical
Social Need / SDOH
healthier than 51%
16%
Risk Behavior
healthier than 47%
11%
Mental Health
healthier than 41%
8%
Disability
healthier than 40%
7%
Climate / Disaster Risk
healthier than 59%
5%
Healthcare Access
healthier than 53%
5%
Holding it back
Chronic Disease Burden
healthier than 40%
21%
Preventive Care
healthier than 38%
13%
“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
66042
Kansasshares a border
Score 49.04
Closest healthier
66067
Kansasshares a border
Score 50.63
Similar health profile
86406
Arizona98% similar profile
Score 51.65
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 | 31.8% | 28.3–35.5 |
| High blood pressure among adults | 38.8% | 34.5–43.1 |
| Cancer (non-skin) or melanoma among adults | 9.5% | 8.5–10.5 |
| Current asthma among adults | 10.4% | 9.1–11.8 |
| Coronary heart disease among adults | 8.1% | 7.0–9.2 |
| Chronic obstructive pulmonary disease among adults | 8.5% | 7.1–10.1 |
| Depression among adults | 21.2% | 17.9–24.7 |
| Diagnosed diabetes among adults | 12.5% | 10.7–14.5 |
| High cholesterol among adults who have ever been screened | 38.6% | 34.2–43.1 |
| Obesity among adults | 41.1% | 33.5–48.6 |
| Stroke among adults | 3.9% | 3.4–4.4 |
| All teeth lost among adults aged >=65 years | 11.7% | 9.4–14.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.2% | 6.5–10.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.6% | 77.8–83.2 |
| Visits to doctor for routine checkup within the past year among adults | 77.0% | 73.3–80.5 |
| Cholesterol screening among adults | 85.3% | 83.2–87.2 |
| Colorectal cancer screening among adults aged 45–75 years | 64.4% | 59.3–69.2 |
| Visited dentist or dental clinic in the past year among adults | 62.9% | 59.4–66.3 |
| Mammography use among women aged 50-74 years | 71.6% | 63.3–78.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 12.4–18.2 |
| Current cigarette smoking among adults | 17.5% | 14.1–20.8 |
| No leisure-time physical activity among adults | 28.4% | 23.2–33.9 |
| Short sleep duration among adults | 32.6% | 26.7–38.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.1% | 16.6–23.7 |
| Frequent mental distress among adults | 16.6% | 14.4–18.8 |
| Frequent physical distress among adults | 14.5% | 12.4–16.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.2% | 12.9–17.5 |
| Any disability among adults | 34.1% | 29.2–39.2 |
| Hearing disability among adults | 9.2% | 8.0–10.5 |
| Independent living disability among adults | 8.5% | 7.2–9.9 |
| Mobility disability among adults | 16.0% | 13.3–18.8 |
| Self-care disability among adults | 4.1% | 3.4–4.8 |
| Vision disability among adults | 4.8% | 4.1–5.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.3% | 17.8–25.0 |
| Food insecurity in the past 12 months among adults | 12.0% | 9.6–14.7 |
| Received food stamps in the past 12 months among adults | 7.4% | 5.8–9.3 |
| Housing insecurity in the past 12 months among adults | 10.0% | 8.2–12.0 |
| Lack of reliable transportation in the past 12 months among adults | 6.7% | 5.6–7.9 |
| Loneliness among adults | 30.8% | 26.0–35.9 |
| Utility services shut-off threat in the past 12 months among adults | 7.6% | 6.4–9.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.5% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 7.4% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 8.5% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 36.3% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 3.4% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 0.3% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 88.9% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 23.6% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 92.6% | 78.7% (51.7–94.0%) n=32,322 | 79.7% (59.7–94.6%) n=688 |
| Crowded housing (>1 per room) | 3.4% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.6%) n=688 |
| Foreign-born population | 0.4% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 54.3% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 21.1% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 45.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $80,000 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $205,900 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | $1,000 | $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 | 79.0 yr ± 1.11 | 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 1.11 years of 79.0, 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