ZIP code
43438
in Kelleys Island, OhioPopulation 128
57.88/ 100
Ranked #6,499 of 32,066 US ZIPs (top 20%)
Ranked #114 of 1,176 Ohio ZIPs (top 9.7%)
Ranked #1 of 21 Sandusky, OH ZIPs (top 4.8%)
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.
Unemployment rate
57.9%
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Housing insecurity
5.7%
in the bottom 1.9% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Lack of transportation
4.4%
in the bottom 3.2% nationally
Lower is healthier
ST2ndUS3rdDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Fiber broadband
99.3%
in the top 4.1% nationally
Higher is healthier
ST99thUS96thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Colon-cancer screening
75.7%
in the top 2.2% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Industrial-pollution burden
in the top 4.3% nationally
Lower is healthier
ST92ndUS96thDefinition & 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 ›Mammography
82.6%
in the top 2.9% nationally
Higher is healthier
ST99thUS97thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Utility shut-off threat
4.2%
in the bottom 5.0% nationally
Lower is healthier
ST1stUS5thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Food insecurity
7.4%
in the bottom 5.0% nationally
Lower is healthier
ST4thUS5thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›High cholesterol
45.4%
in the top 3.7% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›The read
Kelleys Island, Ohio (ZIP 43438), on the composite measure, lands in the top 20% healthiest ZIPs nationally (6,499th) and the top 9.7% of Ohio (114th).
Where the data leans one way, another reading answers it: modeled housing insecurity sits in the bottom 1.9% nationally, modeled transportation registers in the bottom 3.2% nationally, and fiber broadband lands in the top 4.1% nationally. Modeled colon screening resides in the top 2.2% nationally, mammography lies in the top 2.9% nationally, and utility shutoff settles in the bottom 5.0% nationally. Modeled food insecurity stands in the bottom 5.0% nationally. On the other hand, unemployment is in the top 0.2% nationally, and modeled industrial-pollution burden rests in the top 4.3% nationally. Modeled high cholesterol sits in the top 3.7% nationally.
Set against the neighboring ZIPs, unemployment runs far higher than the surrounding ZIPs on this measure. In everyday language, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. No nearby ZIP ranks healthier overall than this one.
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 88%
16%
Preventive Care
in the top 0.7%
13%
Risk Behavior
healthier than 87%
11%
Mental Health
healthier than 86%
8%
Disability
healthier than 68%
7%
Climate / Disaster Risk
healthier than 73%
5%
About typical
Environmental Hazard
healthier than 54%
14%
Healthcare Access
healthier than 59%
5%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Lifting this score
Social Need / SDOH
healthier than 91%
16%
Environmental Hazard
healthier than 85%
14%
Preventive Care
in the top 0.00%
13%
Risk Behavior
healthier than 99%
11%
Mental Health
healthier than 99%
8%
Disability
healthier than 67%
7%
About typical
Climate / Disaster Risk
healthier than 58%
5%
Healthcare Access
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Lifting this score
Social Need / SDOH
in the top 0.00%
16%
Environmental Hazard
healthier than 91%
14%
Preventive Care
in the top 0.00%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
in the top 0.00%
8%
Healthcare Access
healthier than 73%
5%
About typical
Climate / Disaster Risk
healthier than 45%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Disability
healthier than 27%
7%
“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
43440
Ohioabout 3.2 mi away
Score 57.16
Similar health profile
54821
Wisconsin98% similar profile
Score 56.53
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 | 40.2% | 36.2–44.2 |
| High blood pressure among adults | 47.4% | 43.1–52.0 |
| Cancer (non-skin) or melanoma among adults | 14.4% | 12.9–15.9 |
| Current asthma among adults | 10.1% | 8.9–11.3 |
| Coronary heart disease among adults | 10.0% | 8.6–11.5 |
| Chronic obstructive pulmonary disease among adults | 9.2% | 7.2–11.3 |
| Depression among adults | 21.7% | 18.8–25.2 |
| Diagnosed diabetes among adults | 15.8% | 13.5–18.5 |
| High cholesterol among adults who have ever been screened | 45.4% | 41.1–50.0 |
| Obesity among adults | 36.9% | 30.9–43.6 |
| Stroke among adults | 4.5% | 3.7–5.2 |
| All teeth lost among adults aged >=65 years | 8.5% | 6.9–10.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.7% | 3.4–6.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 85.1% | 82.4–87.6 |
| Visits to doctor for routine checkup within the past year among adults | 86.1% | 83.6–88.4 |
| Cholesterol screening among adults | 92.5% | 91.1–93.7 |
| Colorectal cancer screening among adults aged 45–75 years | 75.7% | 71.5–79.5 |
| Visited dentist or dental clinic in the past year among adults | 71.5% | 68.5–74.4 |
| Mammography use among women aged 50-74 years | 82.6% | 77.3–87.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.1% | 10.9–15.7 |
| Current cigarette smoking among adults | 11.8% | 8.8–15.1 |
| No leisure-time physical activity among adults | 25.1% | 20.1–30.5 |
| Short sleep duration among adults | 32.2% | 27.5–37.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.5% | 13.3–20.3 |
| Frequent mental distress among adults | 13.0% | 11.1–15.0 |
| Frequent physical distress among adults | 14.1% | 11.8–16.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.1% | 8.3–12.1 |
| Any disability among adults | 28.5% | 23.9–33.6 |
| Hearing disability among adults | 9.4% | 8.1–10.8 |
| Independent living disability among adults | 6.7% | 5.4–8.2 |
| Mobility disability among adults | 15.3% | 12.3–18.5 |
| Self-care disability among adults | 3.6% | 2.9–4.3 |
| Vision disability among adults | 4.2% | 3.4–5.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 17.2% | 13.8–21.0 |
| Food insecurity in the past 12 months among adults | 7.4% | 5.2–9.8 |
| Received food stamps in the past 12 months among adults | 5.5% | 3.8–7.5 |
| Housing insecurity in the past 12 months among adults | 5.7% | 4.3–7.2 |
| Lack of reliable transportation in the past 12 months among adults | 4.4% | 3.4–5.4 |
| Loneliness among adults | 29.0% | 24.1–34.3 |
| Utility services shut-off threat in the past 12 months among adults | 4.2% | 3.3–5.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.2% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 1.7% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 53.4% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 57.9% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 75.4% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 24.6% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 91.8% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 100.0% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 57.0% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 69.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $82,917 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $346,400 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | — | $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 | 80.2 yr ± 0.84 | 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 0.84 years of 80.2, 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