ZIP code
45831
in Continental, OhioPopulation 3,233
52.15/ 100
Ranked #13,242 of 32,066 US ZIPs (top 41%)
Ranked #286 of 1,176 Ohio ZIPs (top 24%)
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.
Grocery access
0.33 per 1,000 residents
in the top 3.2% nationally
Higher is healthier
ST98thUS97thDefinition & 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 ›Obesity
44.6%
in the top 5.1% nationally
Lower is healthier
ST92ndUS95thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Arsenic in groundwater
1.3%
in the bottom 7.6% nationally
Lower is healthier
ST1stUS8thDefinition & 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 ›Homeownership rate
94.7%
in the top 9.1% nationally
Higher is healthier
ST94thUS91stDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Binge drinking
19.2%
in the top 9.8% nationally
Lower is healthier
ST95thUS90thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Pharmacy access
0.33 per 1,000 residents
in the top 11.6% nationally
Higher is healthier
ST93rdUS88thDefinition & source ›
The number of pharmacies located 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.
Full methodology ›Distance to a community health center
9.3 mi
in the top 22% nationally
Lower is healthier
ST92ndUS78thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Distance to a hazardous-chemical facility
6 mi
in the top 24% nationally
Higher is healthier
ST90thUS76thDefinition & 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 ›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 ›The read
Continental, Ohio (ZIP 45831) ranks in the top 41% healthiest ZIPs nationally (13,242nd) and the top 24% of Ohio (286th).
The bright spots in the data define much of the story here: grocery registers in the top 3.2% nationally, and modeled arsenic lies in the bottom 7.6% nationally. Homeownership is in the top 9.1% nationally, and pharmacy registers in the top 11.6% nationally. Crowded housing lies at the national minimum, shared with about 29% of ZIPs. On the other side, modeled obesity is in the top 5.1% nationally, modeled binge drinking registers in the top 9.8% nationally, and unemployment lies in the top 13.2% nationally. Modeled transportation noise is in the top 16% nationally, and industrial-pollution burden registers in the top 17% nationally.
For context, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. The closest ZIP that ranks healthier overall is ZIP 45827, just across the boundary.
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 75%
14%
Preventive Care
healthier than 75%
13%
Disability
healthier than 72%
7%
Climate / Disaster Risk
healthier than 72%
5%
About typical
Chronic Disease Burden
healthier than 48%
21%
Social Need / SDOH
healthier than 47%
16%
Holding it back
Risk Behavior
healthier than 34%
11%
Mental Health
healthier than 34%
8%
Healthcare Access
healthier than 23%
5%
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Environmental Hazard
healthier than 96%
14%
Preventive Care
healthier than 78%
13%
Risk Behavior
healthier than 63%
11%
Mental Health
healthier than 71%
8%
Disability
healthier than 72%
7%
About typical
Social Need / SDOH
healthier than 52%
16%
Climate / Disaster Risk
healthier than 54%
5%
Holding it back
Healthcare Access
healthier than 9%
5%
“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
43512
Ohioshares a border
Score 50.37
Closest healthier
45827
Ohioshares a border
Score 52.90
Similar health profile
18469
Pennsylvania98% similar profile
Score 51.96
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% | 27.6–34.2 |
| High blood pressure among adults | 36.7% | 32.9–40.7 |
| Cancer (non-skin) or melanoma among adults | 9.5% | 8.6–10.4 |
| Current asthma among adults | 10.8% | 9.6–12.1 |
| Coronary heart disease among adults | 6.9% | 6.1–7.8 |
| Chronic obstructive pulmonary disease among adults | 7.9% | 6.8–8.9 |
| Depression among adults | 25.0% | 21.6–28.7 |
| Diagnosed diabetes among adults | 12.3% | 10.7–14.0 |
| High cholesterol among adults who have ever been screened | 36.5% | 32.5–40.4 |
| Obesity among adults | 44.6% | 37.2–52.0 |
| Stroke among adults | 3.4% | 3.0–3.7 |
| All teeth lost among adults aged >=65 years | 12.0% | 9.8–14.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.3% | 5.9–8.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.4% | 76.8–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 79.7% | 76.4–82.7 |
| Cholesterol screening among adults | 86.7% | 84.9–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 68.6% | 64.2–72.7 |
| Visited dentist or dental clinic in the past year among adults | 64.9% | 61.6–68.1 |
| Mammography use among women aged 50-74 years | 78.7% | 72.3–84.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.2% | 16.1–22.5 |
| Current cigarette smoking among adults | 15.6% | 13.3–18.1 |
| No leisure-time physical activity among adults | 25.7% | 21.7–29.9 |
| Short sleep duration among adults | 34.7% | 29.5–40.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.5% | 15.2–20.1 |
| Frequent mental distress among adults | 17.3% | 15.4–19.3 |
| Frequent physical distress among adults | 14.0% | 12.3–15.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.5% | 11.9–15.2 |
| Any disability among adults | 28.8% | 24.9–32.8 |
| Hearing disability among adults | 6.9% | 6.1–7.7 |
| Independent living disability among adults | 7.5% | 6.6–8.4 |
| Mobility disability among adults | 13.3% | 11.4–15.2 |
| Self-care disability among adults | 3.3% | 3.0–3.7 |
| Vision disability among adults | 4.1% | 3.6–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.6% | 17.3–24.2 |
| Food insecurity in the past 12 months among adults | 10.9% | 8.9–13.1 |
| Received food stamps in the past 12 months among adults | 8.5% | 6.9–10.3 |
| Housing insecurity in the past 12 months among adults | 9.3% | 7.7–11.0 |
| Lack of reliable transportation in the past 12 months among adults | 6.3% | 5.4–7.2 |
| Loneliness among adults | 34.0% | 28.9–39.5 |
| Utility services shut-off threat in the past 12 months among adults | 6.5% | 5.5–7.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.1% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 1.5% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 6.7% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 11.6% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 8.6% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 3.6% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 82.7% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 21.9% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 94.7% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 0.2% | 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+ | 26.0% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 44.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $71,473 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $168,000 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $542 | $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 | 79.5 yr ± 1.01 | 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 1.01 years of 79.5, 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