ZIP code
44115
in Cleveland, OhioPopulation 10,011
33.28/ 100
Ranked #29,966 of 32,066 US ZIPs (bottom 6.6%)
Ranked #1,108 of 1,176 Ohio ZIPs (bottom 5.8%)
Ranked #102 of 113 Cleveland, OH ZIPs (bottom 9.8%)
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.
Tooth loss
40.3%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Subsidized affordable housing
2,523 units
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Utility shut-off threat
25.1%
in the top 0.8% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Loneliness
44%
in the top 0.9% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Vision disability
10.8%
in the top 3.4% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Transit access
11 per 1,000 residents
in the top 1.0% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of public-transit stops 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 ›Mental-health provider access
0.45 per 1,000 residents
in the top 1.1% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Independent-living disability
14.8%
in the top 2.9% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Homeownership rate
6.2%
in the bottom 1.2% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Households without a vehicle
40.6%
in the top 1.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›The read
In overall standing, ZIP 44115, one of several in Cleveland, Ohio comes out in the bottom 6.6% nationally (29,966th) and the bottom 5.8% of Ohio (1,108th).
The data points to real strain across a number of measures here: modeled tooth loss sits in the top 0.5% nationally, utility shutoff settles in the top 0.8% nationally, and loneliness registers in the top 0.9% nationally. Modeled vision disability stands in the top 3.4% nationally, modeled independent living disability lands in the top 2.9% nationally, and homeownership is in the bottom 1.2% nationally. Households without a vehicle resides in the top 1.5% nationally. On the brighter side, subsidized affordable housing rests in the top 0.2% nationally, and transit lies in the top 1.0% nationally. Mental-health providers sits in the top 1.1% nationally.
Relative to the ZIPs around it, subsidized affordable housing runs far higher than the surrounding ZIPs on this measure. In plain terms, subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. The nearest healthier ZIP overall is ZIP 44113, just across the boundary.
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 Cleveland, OH metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 89%
5%
Healthcare Access
healthier than 85%
5%
About typical
Chronic Disease Burden
healthier than 42%
21%
Holding it back
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 5%
14%
Preventive Care
healthier than 6%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 8%
7%
Lifting this score
Climate / Disaster Risk
healthier than 96%
5%
Healthcare Access
healthier than 82%
5%
About typical
Chronic Disease Burden
healthier than 57%
21%
Holding it back
Social Need / SDOH
healthier than 6%
16%
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 2%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 4%
7%
Lifting this score
Climate / Disaster Risk
healthier than 83%
5%
Healthcare Access
healthier than 77%
5%
Holding it back
Chronic Disease Burden
healthier than 40%
21%
Social Need / SDOH
healthier than 11%
16%
Environmental Hazard
healthier than 3%
14%
Preventive Care
healthier than 2%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 4%
8%
Disability
healthier than 7%
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
44101
Ohioshares a border
Score 15.21
Closest healthier
44113
Ohioshares a border
Score 52.46
Similar health profile
44311
Ohio99% similar profile
Score 24.35
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 | 21.0% | 19.3–22.8 |
| High blood pressure among adults | 35.1% | 32.7–37.5 |
| Cancer (non-skin) or melanoma among adults | 3.3% | 3.0–3.6 |
| Current asthma among adults | 13.7% | 12.2–15.2 |
| Coronary heart disease among adults | 5.9% | 5.3–6.5 |
| Chronic obstructive pulmonary disease among adults | 9.4% | 8.4–10.4 |
| Depression among adults | 27.5% | 24.6–30.4 |
| Diagnosed diabetes among adults | 14.6% | 13.3–16.0 |
| High cholesterol among adults who have ever been screened | 29.7% | 27.3–32.2 |
| Obesity among adults | 41.7% | 37.9–45.4 |
| Stroke among adults | 4.4% | 4.0–4.8 |
| All teeth lost among adults aged >=65 years | 40.3% | 36.1–44.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.7% | 11.6–16.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.9% | 67.6–72.3 |
| Visits to doctor for routine checkup within the past year among adults | 75.9% | 73.0–78.7 |
| Cholesterol screening among adults | 77.2% | 74.1–79.7 |
| Colorectal cancer screening among adults aged 45–75 years | 56.0% | 52.1–59.8 |
| Visited dentist or dental clinic in the past year among adults | 48.5% | 45.8–51.1 |
| Mammography use among women aged 50-74 years | 71.0% | 65.2–76.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.5% | 16.2–21.0 |
| Current cigarette smoking among adults | 21.7% | 19.2–24.3 |
| No leisure-time physical activity among adults | 32.7% | 29.4–36.2 |
| Short sleep duration among adults | 44.6% | 41.1–48.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.5% | 26.7–32.4 |
| Frequent mental distress among adults | 22.6% | 20.2–25.1 |
| Frequent physical distress among adults | 15.7% | 14.1–17.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.2% | 18.7–23.8 |
| Any disability among adults | 37.0% | 33.5–40.7 |
| Hearing disability among adults | 4.8% | 4.3–5.4 |
| Independent living disability among adults | 14.8% | 13.2–16.5 |
| Mobility disability among adults | 17.6% | 15.9–19.3 |
| Self-care disability among adults | 7.6% | 6.9–8.4 |
| Vision disability among adults | 10.8% | 9.8–11.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.0% | 23.5–31.0 |
| Food insecurity in the past 12 months among adults | 38.1% | 34.4–42.0 |
| Received food stamps in the past 12 months among adults | 39.3% | 36.1–42.5 |
| Housing insecurity in the past 12 months among adults | 28.3% | 25.3–31.5 |
| Lack of reliable transportation in the past 12 months among adults | 21.3% | 19.0–23.8 |
| Loneliness among adults | 44.0% | 39.5–48.7 |
| Utility services shut-off threat in the past 12 months among adults | 25.1% | 22.6–27.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 49.6% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 5.2% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 13.1% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 38.8% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 18.1% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 40.6% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 78.6% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 38.7% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 6.2% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 1.7% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 9.1% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 19.1% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 5.1% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 27.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $22,056 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $178,000 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $869 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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