ZIP code
45051
in Mount Saint Joseph, OhioPopulation 334
58.61/ 100
Ranked #5,886 of 32,066 US ZIPs (top 18%)
Ranked #97 of 1,176 Ohio ZIPs (top 8.3%)
Ranked #25 of 156 Cincinnati, OH-KY-IN ZIPs (top 16%)
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.
Housing insecurity
5.6%
in the bottom 1.6% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Housing-cost burden
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›PFOS in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents served by public water systems where PFOS, one of the most common “forever chemicals,” was detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Homeownership rate
22.6%
in the bottom 2.2% nationally
Higher is healthier
ST2ndUS2ndDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Poverty rate
41.2%
in the top 2.8% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Utility shut-off threat
3.8%
in the bottom 2.8% nationally
Lower is healthier
ST1stUS3rdDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Short sleep
27.5%
in the bottom 2.2% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Lack of transportation
4.5%
in the bottom 3.8% nationally
Lower is healthier
ST3rdUS4thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Food insecurity
7.1%
in the bottom 4.0% nationally
Lower is healthier
ST3rdUS4thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›The read
Mount Saint Joseph, Ohio (ZIP 45051), overall, ranks in the top 18% healthiest ZIPs nationally (5,886th) and the top 8.3% of Ohio (97th).
Reading the numbers as a whole, the picture lands somewhere in between: modeled housing insecurity stands in the bottom 1.6% nationally, housing-cost burden rests at the national minimum, and home broadband subscription registers at the national maximum. Modeled utility shutoff resides in the bottom 2.8% nationally, short sleep settles in the bottom 2.2% nationally, and transportation is in the bottom 3.8% nationally. Modeled food insecurity sits in the bottom 4.0% nationally. On the other side, PFOS in drinking water lands at the national maximum, and homeownership lies in the bottom 2.2% nationally. Poverty stands in the top 2.8% nationally.
Measured against the nearby ZIPs, park land runs far higher than the surrounding ZIPs on this measure. Defined simply, PFOS in drinking water is a common one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. ZIP 41017, about 1.8 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 Cincinnati, OH-KY-IN 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 87%
16%
Preventive Care
healthier than 99%
13%
Risk Behavior
healthier than 98%
11%
Mental Health
healthier than 87%
8%
Climate / Disaster Risk
healthier than 62%
5%
About typical
Disability
healthier than 46%
7%
Healthcare Access
healthier than 60%
5%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Environmental Hazard
healthier than 33%
14%
Lifting this score
Social Need / SDOH
healthier than 90%
16%
Preventive Care
in the top 0.3%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
in the top 0.9%
8%
About typical
Environmental Hazard
healthier than 58%
14%
Healthcare Access
healthier than 57%
5%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Disability
healthier than 39%
7%
Climate / Disaster Risk
healthier than 31%
5%
Lifting this score
Social Need / SDOH
healthier than 74%
16%
Preventive Care
in the top 0.9%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
in the top 0.9%
8%
About typical
Environmental Hazard
healthier than 55%
14%
Climate / Disaster Risk
healthier than 52%
5%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Disability
healthier than 31%
7%
Healthcare Access
healthier than 35%
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
45233
Ohioshares a border
Score 56.64
Closest healthier
41017
Kentuckyabout 1.8 mi away
Score 60.34
Similar health profile
28746
North Carolina98% similar profile
Score 56.93
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 | 40.8% | 36.5–44.4 |
| High blood pressure among adults | 43.7% | 39.1–47.7 |
| Cancer (non-skin) or melanoma among adults | 16.9% | 14.8–19.2 |
| Current asthma among adults | 10.2% | 8.9–11.6 |
| Coronary heart disease among adults | 10.2% | 8.0–13.0 |
| Chronic obstructive pulmonary disease among adults | 8.5% | 5.7–12.3 |
| Depression among adults | 21.6% | 18.8–24.4 |
| Diagnosed diabetes among adults | 13.8% | 11.0–16.6 |
| High cholesterol among adults who have ever been screened | 41.4% | 38.0–44.7 |
| Obesity among adults | 26.3% | 22.2–30.3 |
| Stroke among adults | 5.0% | 3.7–6.8 |
| All teeth lost among adults aged >=65 years | 13.8% | 11.2–16.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.2% | 4.6–8.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 88.1% | 86.2–89.8 |
| Visits to doctor for routine checkup within the past year among adults | 86.0% | 84.0–87.9 |
| Cholesterol screening among adults | 91.5% | 89.8–93.0 |
| Colorectal cancer screening among adults aged 45–75 years | 74.2% | 70.7–77.5 |
| Visited dentist or dental clinic in the past year among adults | 75.4% | 73.0–77.6 |
| Mammography use among women aged 50-74 years | 79.3% | 73.9–84.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.6% | 10.1–13.5 |
| Current cigarette smoking among adults | 7.8% | 6.0–9.7 |
| No leisure-time physical activity among adults | 26.0% | 18.8–33.4 |
| Short sleep duration among adults | 27.5% | 24.4–30.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.3% | 12.5–24.5 |
| Frequent mental distress among adults | 12.7% | 10.6–14.6 |
| Frequent physical distress among adults | 13.1% | 9.9–16.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.6% | 8.0–13.9 |
| Any disability among adults | 34.5% | 27.2–41.6 |
| Hearing disability among adults | 11.4% | 8.9–14.1 |
| Independent living disability among adults | 8.6% | 5.9–12.7 |
| Mobility disability among adults | 18.1% | 12.8–25.0 |
| Self-care disability among adults | 3.4% | 2.4–5.1 |
| Vision disability among adults | 4.8% | 3.5–7.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 17.4% | 13.9–21.4 |
| Food insecurity in the past 12 months among adults | 7.1% | 5.1–10.0 |
| Received food stamps in the past 12 months among adults | 5.0% | 3.5–7.1 |
| Housing insecurity in the past 12 months among adults | 5.6% | 4.4–6.9 |
| Lack of reliable transportation in the past 12 months among adults | 4.5% | 3.5–5.9 |
| Loneliness among adults | 31.3% | 26.4–36.9 |
| Utility services shut-off threat in the past 12 months among adults | 3.8% | 3.1–4.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 41.2% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 28.8% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 4.7% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 38.0% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 0.0% | 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 | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 0.0% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 22.6% | 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 | 0.9% | 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+ | 57.8% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 72.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $66,932 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | — | $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 | 78.1 yr ± 1.09 | 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 1.09 years of 78.1, 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