ZIP code
45167
in Ripley, OhioPopulation 3,285
38.26/ 100
Ranked #27,867 of 32,066 US ZIPs (bottom 13.1%)
Ranked #1,022 of 1,176 Ohio ZIPs (bottom 13.1%)
Ranked #141 of 156 Cincinnati, OH-KY-IN ZIPs (bottom 9.7%)
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.
Coronary heart disease
11.1%
in the top 3.9% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Tooth loss
25.9%
in the top 6.2% nationally
Lower is healthier
ST93rdUS94thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›High blood pressure
47.7%
in the top 6.5% nationally
Lower is healthier
ST97thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Stroke
5.4%
in the top 8.9% nationally
Lower is healthier
ST96thUS91stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Mobility disability
21.9%
in the top 10.0% nationally
Lower is healthier
ST97thUS90thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Diabetes
17.6%
in the top 9.4% nationally
Lower is healthier
ST93rdUS91stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Obesity
42.9%
in the top 9.4% nationally
Lower is healthier
ST83rdUS91stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›High cholesterol
43.3%
in the top 9.4% nationally
Lower is healthier
ST99thUS91stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Pharmacy access
0.29 per 1,000 residents
in the top 14.7% nationally
Higher is healthier
ST91stUS85thDefinition & source ›
The number of pharmacies 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 ›Binge drinking
13.2%
in the bottom 16% nationally
Lower is healthier
ST4thUS16thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›The read
Ripley, Ohio (ZIP 45167), overall, ranks in the bottom 13.1% nationally (27,867th) and the bottom 13.1% of Ohio (1,022nd).
Taken together, the data gives a genuinely mixed reading: distance to a community health center registers at the national minimum, shared with about 23% of ZIPs. On the other side, modeled coronary heart disease resides in the top 3.9% nationally, tooth loss settles in the top 6.2% nationally, and high blood pressure is in the top 6.5% nationally. Modeled stroke sits in the top 8.9% nationally, and mobility disability lands in the top 10.0% nationally. Fiber broadband lies at the national minimum, shared with about 19% of ZIPs. Modeled diabetes stands in the top 9.4% nationally, and obesity rests in the top 9.4% nationally. Modeled high cholesterol registers in the top 9.4% nationally.
Defined simply, distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. ZIP 45101, just across the boundary, 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
Healthcare Access
healthier than 83%
5%
About typical
Environmental Hazard
healthier than 48%
14%
Preventive Care
healthier than 58%
13%
Climate / Disaster Risk
healthier than 59%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 39%
16%
Risk Behavior
healthier than 9%
11%
Mental Health
healthier than 18%
8%
Disability
healthier than 16%
7%
Lifting this score
Environmental Hazard
healthier than 77%
14%
Healthcare Access
healthier than 81%
5%
About typical
Social Need / SDOH
healthier than 43%
16%
Preventive Care
healthier than 53%
13%
Holding it back
Chronic Disease Burden
healthier than 2%
21%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 38%
8%
Disability
healthier than 7%
7%
Climate / Disaster Risk
healthier than 26%
5%
Lifting this score
Environmental Hazard
healthier than 77%
14%
Healthcare Access
healthier than 68%
5%
About typical
Preventive Care
healthier than 41%
13%
Climate / Disaster Risk
healthier than 42%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 23%
16%
Risk Behavior
healthier than 12%
11%
Mental Health
healthier than 33%
8%
Disability
healthier than 5%
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
45101
Ohioshares a border
Score 38.51
Closest healthier
45121
Ohioshares a border
Score 38.68
Similar health profile
40050
Kentucky99% similar profile
Score 42.05
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 | 39.2% | 35.8–42.6 |
| High blood pressure among adults | 47.7% | 43.7–51.6 |
| Cancer (non-skin) or melanoma among adults | 11.2% | 10.2–12.3 |
| Current asthma among adults | 11.7% | 10.4–13.0 |
| Coronary heart disease among adults | 11.1% | 10.0–12.2 |
| Chronic obstructive pulmonary disease among adults | 13.0% | 11.6–14.6 |
| Depression among adults | 26.7% | 23.2–30.2 |
| Diagnosed diabetes among adults | 17.6% | 15.5–19.8 |
| High cholesterol among adults who have ever been screened | 43.3% | 39.1–47.4 |
| Obesity among adults | 42.9% | 36.4–49.5 |
| Stroke among adults | 5.4% | 4.9–6.0 |
| All teeth lost among adults aged >=65 years | 25.9% | 21.9–30.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.0% | 7.4–10.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.4% | 81.2–85.5 |
| Visits to doctor for routine checkup within the past year among adults | 82.2% | 79.4–84.9 |
| Cholesterol screening among adults | 86.3% | 84.7–88.0 |
| Colorectal cancer screening among adults aged 45–75 years | 64.4% | 59.7–69.1 |
| Visited dentist or dental clinic in the past year among adults | 56.0% | 52.4–59.6 |
| Mammography use among women aged 50-74 years | 74.6% | 67.2–80.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.2% | 10.9–15.7 |
| Current cigarette smoking among adults | 21.2% | 18.4–24.0 |
| No leisure-time physical activity among adults | 38.2% | 33.4–43.1 |
| Short sleep duration among adults | 40.3% | 34.7–46.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.4% | 23.3–29.6 |
| Frequent mental distress among adults | 18.5% | 16.5–20.6 |
| Frequent physical distress among adults | 18.3% | 16.3–20.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.6% | 14.7–18.6 |
| Any disability among adults | 39.4% | 35.2–43.8 |
| Hearing disability among adults | 10.2% | 9.2–11.3 |
| Independent living disability among adults | 11.3% | 10.1–12.7 |
| Mobility disability among adults | 21.9% | 19.4–24.6 |
| Self-care disability among adults | 5.7% | 5.1–6.4 |
| Vision disability among adults | 6.9% | 6.2–7.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.1% | 18.8–25.6 |
| Food insecurity in the past 12 months among adults | 17.7% | 14.8–20.5 |
| Received food stamps in the past 12 months among adults | 16.4% | 13.8–19.1 |
| Housing insecurity in the past 12 months among adults | 12.1% | 10.2–14.0 |
| Lack of reliable transportation in the past 12 months among adults | 9.0% | 7.8–10.2 |
| Loneliness among adults | 34.3% | 29.1–39.4 |
| Utility services shut-off threat in the past 12 months among adults | 9.4% | 8.2–10.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 21.3% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 12.2% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 13.5% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 11.7% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 8.1% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 6.6% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 88.6% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 19.0% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 73.0% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 0.6% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 0.8% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 51.3% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 23.8% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 45.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $68,750 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $167,300 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $741 | $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 | 74.3 yr ± 1.13 | 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 1.13 years of 74.3, 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