ZIP code
44875
in Shelby, OhioPopulation 14,144
46.68/ 100
Ranked #20,548 of 32,066 US ZIPs (bottom 36%)
Ranked #627 of 1,176 Ohio ZIPs (bottom 47%)
Ranked #4 of 11 Mansfield, OH ZIPs (top 36%)
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.
Radon
3.6 pCi/L
in the top 3.9% nationally
Lower is healthier
ST90thUS96thDefinition & 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 ›Arsenic in groundwater
25.8%
in the top 4.2% nationally
Lower is healthier
ST93rdUS96thDefinition & 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 ›Industrial-pollution burden
in the top 9.9% nationally
Lower is healthier
ST75thUS90thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Natural-disaster risk
in the top 27% nationally
Lower is healthier
ST94thUS73rdDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
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
Shelby, Ohio (ZIP 44875), overall, ranks in the bottom 36% nationally (20,548th) and the bottom 47% of Ohio (627th).
Taken together, the data gives a genuinely mixed reading: distance to an emergency room registers at the national minimum, shared with about 11% of ZIPs. Distance to a community health center resides at the national minimum, shared with about 23% of ZIPs. Distance to a nursing home settles at the national minimum, shared with about 27% of ZIPs. Lead in tap water is in the bottom 16% nationally, and subsidized affordable housing sits in the top 17% nationally. Elder services lands in the top 20% nationally. On the other side, modeled radon lies in the top 3.9% nationally, and arsenic stands in the top 4.2% nationally. Modeled industrial-pollution burden rests in the top 9.9% nationally, and short sleep registers in the top 17% nationally.
Measured against the nearby ZIPs, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. Defined simply, radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. 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. ZIP 44805, about 3.0 miles away, comes out 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 Mansfield, OH metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 70%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Preventive Care
healthier than 48%
13%
Disability
healthier than 55%
7%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Social Need / SDOH
healthier than 35%
16%
Environmental Hazard
healthier than 16%
14%
Risk Behavior
healthier than 27%
11%
Mental Health
healthier than 19%
8%
Lifting this score
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 50%
21%
Risk Behavior
healthier than 53%
11%
Mental Health
healthier than 41%
8%
Disability
healthier than 49%
7%
Climate / Disaster Risk
healthier than 48%
5%
Holding it back
Social Need / SDOH
healthier than 37%
16%
Environmental Hazard
healthier than 31%
14%
Preventive Care
healthier than 40%
13%
Lifting this score
Chronic Disease Burden
healthier than 60%
21%
Environmental Hazard
healthier than 60%
14%
Preventive Care
healthier than 70%
13%
Risk Behavior
healthier than 70%
11%
Mental Health
healthier than 60%
8%
Disability
healthier than 70%
7%
Healthcare Access
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 50%
16%
Holding it back
Climate / Disaster Risk
healthier than 20%
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
44827
Ohioshares a border
Score 41.91
Closest healthier
44805
Ohioabout 3.0 mi away
Score 48.32
Similar health profile
16301
Pennsylvania98% similar profile
Score 47.27
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 | 31.6% | 28.5–34.8 |
| High blood pressure among adults | 37.7% | 34.1–41.4 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.1–11.0 |
| Current asthma among adults | 10.9% | 9.6–12.3 |
| Coronary heart disease among adults | 8.1% | 7.2–8.9 |
| Chronic obstructive pulmonary disease among adults | 9.2% | 8.1–10.3 |
| Depression among adults | 26.7% | 23.3–30.4 |
| Diagnosed diabetes among adults | 13.5% | 11.7–15.3 |
| High cholesterol among adults who have ever been screened | 38.4% | 34.5–42.4 |
| Obesity among adults | 36.9% | 31.2–42.8 |
| Stroke among adults | 3.9% | 3.5–4.3 |
| All teeth lost among adults aged >=65 years | 16.1% | 13.4–19.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.9% | 6.6–9.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.3% | 77.7–82.8 |
| Visits to doctor for routine checkup within the past year among adults | 78.7% | 75.5–81.9 |
| Cholesterol screening among adults | 86.0% | 84.3–87.7 |
| Colorectal cancer screening among adults aged 45–75 years | 63.9% | 59.6–68.2 |
| Visited dentist or dental clinic in the past year among adults | 61.8% | 58.5–65.2 |
| Mammography use among women aged 50-74 years | 73.3% | 66.7–79.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.3% | 12.6–18.3 |
| Current cigarette smoking among adults | 16.8% | 14.3–19.3 |
| No leisure-time physical activity among adults | 28.3% | 24.1–32.6 |
| Short sleep duration among adults | 40.0% | 35.2–45.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.7% | 17.1–22.4 |
| Frequent mental distress among adults | 18.3% | 16.2–20.4 |
| Frequent physical distress among adults | 15.1% | 13.3–17.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.4% | 12.7–16.3 |
| Any disability among adults | 30.3% | 26.4–34.2 |
| Hearing disability among adults | 7.8% | 6.9–8.7 |
| Independent living disability among adults | 8.5% | 7.6–9.6 |
| Mobility disability among adults | 15.0% | 13.0–17.0 |
| Self-care disability among adults | 3.8% | 3.4–4.2 |
| Vision disability among adults | 4.7% | 4.3–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.1% | 18.0–24.4 |
| Food insecurity in the past 12 months among adults | 12.2% | 10.4–14.3 |
| Received food stamps in the past 12 months among adults | 10.4% | 8.9–12.1 |
| Housing insecurity in the past 12 months among adults | 9.9% | 8.5–11.5 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 6.1–7.9 |
| Loneliness among adults | 32.2% | 27.7–37.1 |
| Utility services shut-off threat in the past 12 months among adults | 7.2% | 6.3–8.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.7% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 7.9% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 5.7% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 15.8% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 4.9% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 4.5% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 86.3% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 21.5% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 73.1% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 0.9% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 0.9% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 52.7% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 20.5% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 39.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $61,276 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $161,500 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $779 | $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 | 77.0 yr ± 0.72 | 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 0.72 years of 77.0, 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