ZIP code
45380
in Versailles, OhioPopulation 5,394
52.58/ 100
Ranked #12,655 of 32,066 US ZIPs (top 39%)
Ranked #264 of 1,176 Ohio ZIPs (top 22%)
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
37.9%
in the top 1.9% nationally
Lower is healthier
ST98thUS98thDefinition & 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 ›Radon
3.5 pCi/L
in the top 4.6% nationally
Lower is healthier
ST89thUS95thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›Grocery access
0.18 per 1,000 residents
in the top 8.7% nationally
Higher is healthier
ST94thUS91stDefinition & source ›
The number of full supermarkets inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Energy-cost burden
4.7%
in the top 13.2% nationally
Lower is healthier
ST92ndUS87thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Short sleep
31.7%
in the bottom 19% nationally
Lower is healthier
ST2ndUS19thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Air-toxics cancer risk
20 per million
in the bottom 25% nationally
Lower is healthier
ST1stUS25thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Cross-source signals
Combined exposures in this ZIP
More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.
This area ranks among the highest 10% of US ZIP codes for both modeled radon and modeled groundwater arsenic.
See the full radon & arsenic analysis →
The read
Versailles, Ohio (ZIP 45380), in overall standing, comes out in the top 39% healthiest ZIPs nationally (12,655th) and the top 22% of Ohio (264th).
An even profile, with readings pulling both ways: grocery resides in the top 8.7% nationally. Distance to a community health center sits at the national minimum, shared with about 23% of ZIPs. Distance to a nursing home stands at the national minimum, shared with about 27% of ZIPs. Housing-cost burden resides in the bottom 14.1% nationally, and unemployment sits in the bottom 14.7% nationally. Poverty stands in the bottom 15% nationally. Against that, modeled arsenic resides in the top 1.9% nationally, and radon sits in the top 4.6% nationally. Modeled industrial-pollution burden stands in the top 15.0% nationally. Distance to a hazardous-chemical facility resides at the national minimum, shared with about 31% of ZIPs.
Defined simply, for reference, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. The closest healthier ZIP overall is ZIP 45860, about 2.0 miles away.
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
Preventive Care
healthier than 72%
13%
Risk Behavior
healthier than 63%
11%
Disability
healthier than 75%
7%
Climate / Disaster Risk
healthier than 74%
5%
Healthcare Access
healthier than 77%
5%
About typical
Chronic Disease Burden
healthier than 52%
21%
Holding it back
Social Need / SDOH
healthier than 39%
16%
Environmental Hazard
healthier than 16%
14%
Mental Health
healthier than 37%
8%
Lifting this score
Chronic Disease Burden
healthier than 71%
21%
Preventive Care
healthier than 74%
13%
Risk Behavior
healthier than 87%
11%
Mental Health
healthier than 77%
8%
Disability
healthier than 76%
7%
Climate / Disaster Risk
healthier than 60%
5%
Healthcare Access
healthier than 75%
5%
About typical
Social Need / SDOH
healthier than 42%
16%
Holding it back
Environmental Hazard
healthier than 29%
14%
“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
45303
Ohioshares a border
Score 48.15
Closest healthier
45860
Ohioabout 2.0 mi away
Score 56.77
Similar health profile
16546
Pennsylvania98% similar profile
Score 52.98
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 | 30.8% | 27.3–34.4 |
| High blood pressure among adults | 37.1% | 32.8–41.4 |
| Cancer (non-skin) or melanoma among adults | 10.1% | 9.1–11.1 |
| Current asthma among adults | 10.5% | 9.3–11.8 |
| Coronary heart disease among adults | 7.3% | 6.5–8.2 |
| Chronic obstructive pulmonary disease among adults | 7.7% | 6.7–8.8 |
| Depression among adults | 25.3% | 21.5–29.2 |
| Diagnosed diabetes among adults | 12.3% | 10.6–14.1 |
| High cholesterol among adults who have ever been screened | 38.9% | 34.4–43.4 |
| Obesity among adults | 33.9% | 26.3–41.7 |
| Stroke among adults | 3.4% | 3.1–3.8 |
| All teeth lost among adults aged >=65 years | 13.7% | 11.4–16.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.6% | 5.4–8.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.5% | 77.7–83.0 |
| Visits to doctor for routine checkup within the past year among adults | 79.9% | 76.5–83.1 |
| Cholesterol screening among adults | 87.3% | 85.5–89.0 |
| Colorectal cancer screening among adults aged 45–75 years | 64.8% | 60.1–69.4 |
| Visited dentist or dental clinic in the past year among adults | 66.2% | 63.0–69.5 |
| Mammography use among women aged 50-74 years | 77.2% | 70.5–83.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.2% | 14.1–20.5 |
| Current cigarette smoking among adults | 14.6% | 12.4–17.0 |
| No leisure-time physical activity among adults | 25.3% | 21.0–29.8 |
| Short sleep duration among adults | 31.7% | 26.4–37.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.4% | 14.9–20.1 |
| Frequent mental distress among adults | 16.7% | 14.7–18.8 |
| Frequent physical distress among adults | 13.6% | 11.9–15.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.0% | 11.4–14.7 |
| Any disability among adults | 28.4% | 24.3–32.5 |
| Hearing disability among adults | 7.2% | 6.4–8.1 |
| Independent living disability among adults | 7.2% | 6.3–8.1 |
| Mobility disability among adults | 12.7% | 10.8–14.6 |
| Self-care disability among adults | 3.2% | 2.8–3.6 |
| Vision disability among adults | 3.9% | 3.5–4.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.2% | 16.8–23.9 |
| Food insecurity in the past 12 months among adults | 9.6% | 7.7–11.7 |
| Received food stamps in the past 12 months among adults | 7.3% | 5.9–8.9 |
| Housing insecurity in the past 12 months among adults | 8.1% | 6.7–9.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.7% | 4.8–6.6 |
| Loneliness among adults | 33.5% | 27.9–39.0 |
| Utility services shut-off threat in the past 12 months among adults | 5.7% | 4.8–6.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.3% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 5.6% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 5.2% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 22.8% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 0.1% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 2.3% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 89.5% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 13.0% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 77.5% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 1.1% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 0.1% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 55.7% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 19.6% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 45.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $84,135 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $235,300 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $709 | $1,021 ($677–$1,912) n=25,670 | $907 ($714–$1,294) n=1,007 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 80.7 yr ± 1.05 | 78.9 yr (74.7–82.8) n=31,308 | 77.9 yr (74.0–81.3) n=1,154 |
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 1.05 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