ZIP code
45723
in Coolville, OhioPopulation 3,682
47.78/ 100
Ranked #19,209 of 32,066 US ZIPs (bottom 40%)
Ranked #561 of 1,176 Ohio ZIPs (top 48%)
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.
Mental-health provider access
0.28 per 1,000 residents
in the top 2.3% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The number of mental-health clinics 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 ›Fatal road crashes
35.3 per 100,000 residents per year
in the top 9.4% nationally
Lower is healthier
ST96thUS91stDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Tree cover
65.5%
in the top 11.6% nationally
Higher is healthier
ST91stUS88thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›The read
Overall, Coolville, Ohio (ZIP 45723) lands in the bottom 40% nationally (19,209th) and the top 48% of Ohio (561st).
The picture here is genuinely mixed, with readings on both sides: mental-health providers registers in the top 2.3% nationally. Distance to a community health center rests at the national minimum, shared with about 23% of ZIPs. Modeled tree cover stands in the top 11.6% nationally. Distance to a nursing home lies at the national minimum, shared with about 27% of ZIPs. Outpatient lands in the top 19% nationally, and modeled colon screening sits in the top 21% nationally. On the other side, fatal road crashes is in the top 9.4% nationally, and modeled industrial-pollution burden settles in the top 14.1% nationally. Physicians resides at the national minimum, shared with about 38% of ZIPs. Modeled binge drinking registers in the top 20% nationally.
A note on the terms: industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. For a healthier nearby comparison, ZIP 26181, just across the boundary, ranks better 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Preventive Care
healthier than 71%
13%
Healthcare Access
healthier than 74%
5%
About typical
Social Need / SDOH
healthier than 43%
16%
Disability
healthier than 60%
7%
Climate / Disaster Risk
healthier than 59%
5%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Environmental Hazard
healthier than 37%
14%
Risk Behavior
healthier than 21%
11%
Mental Health
healthier than 20%
8%
Lifting this score
Environmental Hazard
healthier than 64%
14%
Preventive Care
healthier than 72%
13%
Healthcare Access
healthier than 72%
5%
About typical
Chronic Disease Burden
healthier than 40%
21%
Social Need / SDOH
healthier than 47%
16%
Risk Behavior
healthier than 43%
11%
Mental Health
healthier than 43%
8%
Disability
healthier than 56%
7%
Holding it back
Climate / Disaster Risk
healthier than 27%
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
26181
West Virginiashares a border
Score 47.92
Closest healthier
45735
Ohioshares a border
Score 48.69
Similar health profile
46128
Indiana97% similar profile
Score 49.34
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 | 32.9% | 30.4–35.6 |
| High blood pressure among adults | 41.0% | 38.0–44.1 |
| Cancer (non-skin) or melanoma among adults | 10.4% | 9.5–11.3 |
| Current asthma among adults | 11.1% | 10.1–12.3 |
| Coronary heart disease among adults | 7.9% | 7.1–8.7 |
| Chronic obstructive pulmonary disease among adults | 8.9% | 7.9–10.1 |
| Depression among adults | 27.3% | 24.6–30.3 |
| Diagnosed diabetes among adults | 14.0% | 12.5–15.6 |
| High cholesterol among adults who have ever been screened | 39.4% | 36.4–42.5 |
| Obesity among adults | 36.8% | 32.7–41.3 |
| Stroke among adults | 3.8% | 3.5–4.2 |
| All teeth lost among adults aged >=65 years | 17.1% | 14.4–20.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.2% | 5.9–8.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.6% | 77.3–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 80.0% | 77.4–82.3 |
| Cholesterol screening among adults | 87.4% | 85.8–88.9 |
| Colorectal cancer screening among adults aged 45–75 years | 69.9% | 66.2–73.5 |
| Visited dentist or dental clinic in the past year among adults | 62.9% | 60.0–65.8 |
| Mammography use among women aged 50-74 years | 75.1% | 69.1–80.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.9% | 15.6–20.4 |
| Current cigarette smoking among adults | 16.8% | 14.6–19.2 |
| No leisure-time physical activity among adults | 27.2% | 24.1–30.8 |
| Short sleep duration among adults | 38.4% | 34.1–42.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.7% | 17.5–22.2 |
| Frequent mental distress among adults | 17.7% | 16.1–19.6 |
| Frequent physical distress among adults | 14.7% | 13.3–16.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.8% | 12.3–15.5 |
| Any disability among adults | 30.0% | 27.0–33.3 |
| Hearing disability among adults | 7.7% | 6.9–8.5 |
| Independent living disability among adults | 8.1% | 7.2–9.0 |
| Mobility disability among adults | 14.6% | 12.9–16.5 |
| Self-care disability among adults | 3.8% | 3.4–4.2 |
| Vision disability among adults | 4.5% | 4.1–5.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.5% | 18.6–24.5 |
| Food insecurity in the past 12 months among adults | 11.6% | 9.7–13.5 |
| Received food stamps in the past 12 months among adults | 9.6% | 8.0–11.2 |
| Housing insecurity in the past 12 months among adults | 9.5% | 8.1–11.0 |
| Lack of reliable transportation in the past 12 months among adults | 6.5% | 5.7–7.3 |
| Loneliness among adults | 34.5% | 30.3–38.6 |
| Utility services shut-off threat in the past 12 months among adults | 6.9% | 6.0–7.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.1% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 8.2% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 7.0% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 10.5% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 4.4% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 5.5% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 88.0% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 22.2% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 86.1% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 0.3% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 1.2% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 68.9% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 19.0% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 49.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $57,222 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $168,900 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $910 | $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 | 75.7 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 75.7, 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