ZIP code
44846
in Milan, OhioPopulation 3,489
56.98/ 100
Ranked #7,299 of 32,066 US ZIPs (top 23%)
Ranked #131 of 1,176 Ohio ZIPs (top 11.2%)
Ranked #4 of 21 Sandusky, OH 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.
Natural-disaster risk
in the bottom 9.5% nationally
Lower is healthier
ST24thUS9thDefinition & 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 ›Lack of transportation
5.2%
in the bottom 9.9% nationally
Lower is healthier
ST8thUS10thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Food insecurity
8.7%
in the bottom 11.0% nationally
Lower is healthier
ST9thUS11thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Recreation access
0.9 per 1,000 residents
in the top 11.0% nationally
Higher is healthier
ST94thUS89thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 Superfund site
50.1 mi
in the top 12.3% nationally
Higher is healthier
ST98thUS88thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Mammography
80.2%
in the top 10.1% nationally
Higher is healthier
ST96thUS90thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Housing insecurity
7.7%
in the bottom 13.3% nationally
Lower is healthier
ST10thUS13thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Crowded housing
5.0%
in the top 14.0% nationally
Lower is healthier
ST95thUS86thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Fair or poor health
15.0%
in the bottom 13.7% nationally
Lower is healthier
ST8thUS14thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Utility shut-off threat
5.4%
in the bottom 20% nationally
Lower is healthier
ST9thUS20thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›The read
In its overall standing, Milan, Ohio (ZIP 44846) lands in the top 23% healthiest ZIPs nationally (7,299th) and the top 11.2% of Ohio (131st).
This area's strengths are easy to pick out across the measures: modeled disaster risk rests in the bottom 9.5% nationally, transportation registers in the bottom 9.9% nationally, and food insecurity resides in the bottom 11.0% nationally. Recreation settles in the top 11.0% nationally. Distance to a community health center is at the national minimum, shared with about 23% of ZIPs. Housing-cost burden sits in the bottom 11.5% nationally, and distance to a Superfund site lands in the top 12.3% nationally. Modeled mammography lies in the top 10.1% nationally, and housing insecurity stands in the bottom 13.3% nationally. Working the other way, modeled radon rests in the top 11.3% nationally.
Put simply, radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. On the overall standing, ZIP 44839, just across the boundary, ranks healthier.
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 Sandusky, OH metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 74%
16%
Preventive Care
healthier than 90%
13%
Disability
healthier than 84%
7%
Climate / Disaster Risk
healthier than 73%
5%
Healthcare Access
healthier than 84%
5%
About typical
Chronic Disease Burden
healthier than 57%
21%
Risk Behavior
healthier than 60%
11%
Mental Health
healthier than 50%
8%
Holding it back
Environmental Hazard
healthier than 33%
14%
Lifting this score
Chronic Disease Burden
healthier than 77%
21%
Social Need / SDOH
healthier than 82%
16%
Preventive Care
healthier than 93%
13%
Risk Behavior
healthier than 86%
11%
Mental Health
healthier than 88%
8%
Disability
healthier than 88%
7%
Healthcare Access
healthier than 82%
5%
About typical
Environmental Hazard
healthier than 58%
14%
Climate / Disaster Risk
healthier than 58%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 82%
21%
Social Need / SDOH
healthier than 73%
16%
Preventive Care
healthier than 91%
13%
Risk Behavior
healthier than 82%
11%
Mental Health
healthier than 64%
8%
Disability
in the top 0.00%
7%
Healthcare Access
in the top 0.00%
5%
Holding it back
Environmental Hazard
healthier than 36%
14%
Climate / Disaster Risk
healthier than 36%
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
44814
Ohioshares a border
Score 52.79
Closest healthier
44839
Ohioshares a border
Score 57.49
Similar health profile
44273
Ohio99% similar profile
Score 56.33
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 | 31.2% | 28.2–34.3 |
| High blood pressure among adults | 37.6% | 34.0–41.3 |
| Cancer (non-skin) or melanoma among adults | 10.3% | 9.4–11.3 |
| Current asthma among adults | 10.5% | 9.4–11.6 |
| Coronary heart disease among adults | 6.8% | 6.1–7.6 |
| Chronic obstructive pulmonary disease among adults | 7.1% | 6.1–8.0 |
| Depression among adults | 24.4% | 21.4–27.7 |
| Diagnosed diabetes among adults | 11.9% | 10.4–13.6 |
| High cholesterol among adults who have ever been screened | 37.9% | 34.4–41.8 |
| Obesity among adults | 36.7% | 30.9–42.9 |
| Stroke among adults | 3.2% | 2.9–3.6 |
| All teeth lost among adults aged >=65 years | 9.3% | 7.8–11.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.9% | 4.8–6.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.1% | 76.5–81.5 |
| Visits to doctor for routine checkup within the past year among adults | 81.6% | 78.9–84.2 |
| Cholesterol screening among adults | 88.8% | 87.3–90.2 |
| Colorectal cancer screening among adults aged 45–75 years | 69.8% | 66.0–73.3 |
| Visited dentist or dental clinic in the past year among adults | 69.9% | 67.1–72.6 |
| Mammography use among women aged 50-74 years | 80.2% | 74.8–84.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.2% | 14.6–20.2 |
| Current cigarette smoking among adults | 12.9% | 10.8–15.1 |
| No leisure-time physical activity among adults | 23.6% | 19.9–27.5 |
| Short sleep duration among adults | 35.6% | 31.1–40.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.0% | 12.9–17.2 |
| Frequent mental distress among adults | 15.9% | 14.1–17.7 |
| Frequent physical distress among adults | 12.6% | 11.1–14.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.7% | 10.1–13.2 |
| Any disability among adults | 25.5% | 22.1–29.2 |
| Hearing disability among adults | 6.7% | 6.0–7.5 |
| Independent living disability among adults | 6.5% | 5.7–7.3 |
| Mobility disability among adults | 11.8% | 10.2–13.5 |
| Self-care disability among adults | 2.9% | 2.6–3.3 |
| Vision disability among adults | 3.6% | 3.2–4.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.0% | 16.3–22.0 |
| Food insecurity in the past 12 months among adults | 8.7% | 7.2–10.5 |
| Received food stamps in the past 12 months among adults | 6.5% | 5.3–7.9 |
| Housing insecurity in the past 12 months among adults | 7.7% | 6.5–9.1 |
| Lack of reliable transportation in the past 12 months among adults | 5.2% | 4.5–5.9 |
| Loneliness among adults | 32.0% | 27.6–36.7 |
| Utility services shut-off threat in the past 12 months among adults | 5.4% | 4.6–6.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.4% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 2.5% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 4.1% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 31.6% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 0.7% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 1.9% | 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) | 11.5% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 85.0% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 5.0% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 0.7% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 56.7% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 25.3% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 49.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $93,333 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $243,500 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $947 | $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 | 79.4 yr ± 1.15 | 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 1.15 years of 79.4, 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