ZIP code
44119
in Cleveland, OhioPopulation 13,243
42.00/ 100
Ranked #25,214 of 32,066 US ZIPs (bottom 21%)
Ranked #893 of 1,176 Ohio ZIPs (bottom 24%)
Ranked #84 of 113 Cleveland, OH ZIPs (bottom 26%)
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.
Transit access
5.5 per 1,000 residents
in the top 4.3% nationally
Higher is healthier
ST94thUS96thDefinition & 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 ›Short sleep
43.7%
in the top 5.1% nationally
Lower is healthier
ST93rdUS95thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
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 ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Loneliness
39.6%
in the top 4.9% nationally
Lower is healthier
ST93rdUS95thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Utility shut-off threat
16.4%
in the top 5.2% nationally
Lower is healthier
ST94thUS95thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Households without a vehicle
14.3%
in the top 8.0% nationally
Lower is healthier
ST89thUS92ndDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Walkability
120 intersections/sq mi
in the top 8.4% nationally
Higher is healthier
ST90thUS92ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Housing insecurity
20%
in the top 9.0% nationally
Lower is healthier
ST93rdUS91stDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Food insecurity
25.6%
in the top 10.4% nationally
Lower is healthier
ST93rdUS90thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›The read
In its overall standing, ZIP 44119, one of several in Cleveland, Ohio lands in the bottom 21% nationally (25,214th) and the bottom 24% of Ohio (893rd), based on limited data; treat as directional.
This area's measures are easy to read as a mixed set: transit is in the top 4.3% nationally, lead in tap water sits at the national minimum, and walkability lands in the top 8.4% nationally. Set against that, modeled short sleep lies in the top 5.1% nationally, tree cover stands at the national minimum, and loneliness rests in the top 4.9% nationally. Modeled utility shutoff registers in the top 5.2% nationally, and households without a vehicle resides in the top 8.0% nationally. Modeled housing insecurity settles in the top 9.0% nationally, and food insecurity is in the top 10.4% nationally.
Against the wider neighborhood, park land runs far lower than the surrounding ZIPs on this measure. Put simply, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. On the overall standing, ZIP 44123, just across the boundary, ranks healthier.
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
Preventive Care
healthier than 65%
13%
Climate / Disaster RiskPartial
healthier than 93%
5%
Healthcare Access
healthier than 81%
5%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 18%
14%
Risk Behavior
healthier than 10%
11%
Mental Health
healthier than 38%
8%
Disability
healthier than 25%
7%
Lifting this score
Preventive Care
healthier than 65%
13%
Mental Health
healthier than 79%
8%
Climate / Disaster RiskPartial
in the top 0.2%
5%
Healthcare Access
healthier than 78%
5%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Social Need / SDOH
healthier than 6%
16%
Environmental Hazard
healthier than 34%
14%
Risk Behavior
healthier than 21%
11%
Disability
healthier than 14%
7%
Lifting this score
Climate / Disaster RiskPartial
healthier than 98%
5%
Healthcare Access
healthier than 70%
5%
About typical
Environmental Hazard
healthier than 43%
14%
Preventive Care
healthier than 43%
13%
Mental Health
healthier than 52%
8%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 12%
16%
Risk Behavior
healthier than 19%
11%
Disability
healthier than 20%
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
44110
Ohioshares a border
Score 27.36
Closest healthier
44123
Ohioshares a border
Score 46.36
Similar health profile
15442
Pennsylvania99% similar profile
Score 45.21
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 | 32.0% | 29.6–34.6 |
| High blood pressure among adults | 45.4% | 42.5–48.3 |
| Cancer (non-skin) or melanoma among adults | 7.5% | 6.8–8.2 |
| Current asthma among adults | 13.1% | 11.8–14.5 |
| Coronary heart disease among adults | 7.9% | 7.2–8.6 |
| Chronic obstructive pulmonary disease among adults | 9.8% | 8.8–10.8 |
| Depression among adults | 23.5% | 21.0–26.0 |
| Diagnosed diabetes among adults | 17.3% | 15.6–19.1 |
| High cholesterol among adults who have ever been screened | 39.0% | 36.2–41.9 |
| Obesity among adults | 41.8% | 37.9–45.7 |
| Stroke among adults | 5.1% | 4.7–5.5 |
| All teeth lost among adults aged >=65 years | 20.2% | 17.3–23.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.0% | 7.7–10.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.4% | 78.2–82.7 |
| Visits to doctor for routine checkup within the past year among adults | 82.2% | 79.9–84.4 |
| Cholesterol screening among adults | 87.7% | 86.1–89.1 |
| Colorectal cancer screening among adults aged 45–75 years | 64.7% | 61.1–68.1 |
| Visited dentist or dental clinic in the past year among adults | 57.6% | 54.8–60.4 |
| Mammography use among women aged 50-74 years | 77.5% | 72.5–81.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 13.0–17.1 |
| Current cigarette smoking among adults | 19.2% | 17.2–21.4 |
| No leisure-time physical activity among adults | 30.5% | 27.5–33.7 |
| Short sleep duration among adults | 43.7% | 40.3–47.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.6% | 23.3–28.0 |
| Frequent mental distress among adults | 17.9% | 16.2–19.7 |
| Frequent physical distress among adults | 15.9% | 14.4–17.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.4% | 14.0–17.0 |
| Any disability among adults | 35.1% | 32.2–38.2 |
| Hearing disability among adults | 6.5% | 5.9–7.2 |
| Independent living disability among adults | 10.9% | 9.9–12.0 |
| Mobility disability among adults | 19.5% | 17.6–21.5 |
| Self-care disability among adults | 6.1% | 5.6–6.6 |
| Vision disability among adults | 7.4% | 6.8–8.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.4% | 23.3–29.8 |
| Food insecurity in the past 12 months among adults | 25.6% | 22.8–28.8 |
| Received food stamps in the past 12 months among adults | 24.5% | 21.8–27.6 |
| Housing insecurity in the past 12 months among adults | 20.0% | 17.8–22.6 |
| Lack of reliable transportation in the past 12 months among adults | 12.7% | 11.4–14.3 |
| Loneliness among adults | 39.6% | 35.6–43.9 |
| Utility services shut-off threat in the past 12 months among adults | 16.4% | 14.6–18.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.5% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 8.0% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 5.6% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 20.0% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 7.1% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 14.3% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 86.7% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 36.6% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 53.3% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 0.1% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 1.3% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 35.6% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 17.9% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 42.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $44,077 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $117,100 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $931 | $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 | 75.4 yr ± 0.98 | 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 0.98 years of 75.4, 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