ZIP code
44134
in Parma, OhioPopulation 37,774
51.99/ 100
Ranked #13,459 of 32,066 US ZIPs (top 42%)
Ranked #298 of 1,176 Ohio ZIPs (top 25%)
Ranked #53 of 113 Cleveland, OH ZIPs (top 47%)
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.
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 ›Industrial-pollution burden
in the top 7.4% nationally
Lower is healthier
ST82ndUS93rdDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Binge drinking
19.7%
in the top 7.4% nationally
Lower is healthier
ST97thUS93rdDefinition & 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 ›Expected annual disaster loss
$0
in the top 11.1% nationally
Lower is healthier
ST98thUS89thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Obesity
32.3%
in the bottom 25% nationally
Lower is healthier
ST8thUS25thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›The read
In its overall standing, ZIP 44134, one of several in Parma, Ohio lands in the top 42% healthiest ZIPs nationally (13,459th) and the top 25% of Ohio (298th).
This area's strengths are easy to pick out across the measures: lead in tap water lands at the national minimum, and transit lies in the top 10.6% nationally. Distance to a nursing home stands at the national minimum, shared with about 27% of ZIPs. Park land rests in the top 14.2% nationally, and grocery registers in the top 14.6% nationally. Fatal road crashes resides in the bottom 16% nationally. Working the other way, modeled industrial-pollution burden settles in the top 7.4% nationally, and binge drinking is in the top 7.4% nationally. Modeled expected annual loss sits in the top 11.1% nationally, and loneliness lands in the top 14.6% nationally.
Against the wider neighborhood, park land runs far higher 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. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. On the overall standing, ZIP 44129, 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
Social Need / SDOH
healthier than 61%
16%
Preventive Care
healthier than 64%
13%
Disability
healthier than 68%
7%
Climate / Disaster Risk
healthier than 88%
5%
Healthcare Access
healthier than 77%
5%
About typical
Chronic Disease Burden
healthier than 58%
21%
Holding it back
Environmental Hazard
healthier than 10%
14%
Risk Behavior
healthier than 36%
11%
Mental Health
healthier than 35%
8%
Lifting this score
Chronic Disease Burden
healthier than 78%
21%
Social Need / SDOH
healthier than 68%
16%
Preventive Care
healthier than 63%
13%
Risk Behavior
healthier than 65%
11%
Mental Health
healthier than 74%
8%
Disability
healthier than 67%
7%
Climate / Disaster Risk
healthier than 94%
5%
Healthcare Access
healthier than 75%
5%
Holding it back
Environmental Hazard
healthier than 19%
14%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
Climate / Disaster Risk
healthier than 77%
5%
Healthcare Access
healthier than 68%
5%
About typical
Social Need / SDOH
healthier than 46%
16%
Preventive Care
healthier than 42%
13%
Risk Behavior
healthier than 48%
11%
Mental Health
healthier than 47%
8%
Disability
healthier than 49%
7%
Holding it back
Environmental Hazard
healthier than 20%
14%
“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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 77.4 ± 0.8 years. A median household income of $68,625 predicts 78.6 years — 1.2 years below.
Ranked #1,567 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
44109
Ohioshares a border
Score 36.85
Closest healthier
44129
Ohioshares a border
Score 52.14
Similar health profile
15857
Pennsylvania98% similar profile
Score 51.48
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 | 28.9% | 26.7–31.2 |
| High blood pressure among adults | 35.2% | 32.6–37.9 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.4–10.0 |
| Current asthma among adults | 11.2% | 10.1–12.5 |
| Coronary heart disease among adults | 6.8% | 6.2–7.5 |
| Chronic obstructive pulmonary disease among adults | 7.9% | 7.1–8.7 |
| Depression among adults | 26.0% | 23.4–28.8 |
| Diagnosed diabetes among adults | 11.3% | 10.1–12.6 |
| High cholesterol among adults who have ever been screened | 38.8% | 36.0–41.7 |
| Obesity among adults | 32.3% | 28.8–36.0 |
| Stroke among adults | 3.5% | 3.2–3.8 |
| All teeth lost among adults aged >=65 years | 12.2% | 10.2–14.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.0% | 6.9–9.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.6% | 75.2–79.9 |
| Visits to doctor for routine checkup within the past year among adults | 78.3% | 75.6–80.8 |
| Cholesterol screening among adults | 86.9% | 85.4–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 68.4% | 65.0–71.6 |
| Visited dentist or dental clinic in the past year among adults | 66.0% | 63.3–68.6 |
| Mammography use among women aged 50-74 years | 76.6% | 71.6–81.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.7% | 17.3–22.4 |
| Current cigarette smoking among adults | 15.3% | 13.6–17.3 |
| No leisure-time physical activity among adults | 23.0% | 20.4–25.7 |
| Short sleep duration among adults | 35.5% | 32.3–38.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.2% | 16.3–20.2 |
| Frequent mental distress among adults | 16.4% | 14.8–18.2 |
| Frequent physical distress among adults | 13.6% | 12.2–15.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.4% | 12.1–14.8 |
| Any disability among adults | 29.6% | 26.9–32.5 |
| Hearing disability among adults | 6.9% | 6.2–7.7 |
| Independent living disability among adults | 7.9% | 7.1–8.7 |
| Mobility disability among adults | 13.7% | 12.3–15.2 |
| Self-care disability among adults | 3.5% | 3.2–3.8 |
| Vision disability among adults | 4.5% | 4.1–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.9% | 18.1–23.8 |
| Food insecurity in the past 12 months among adults | 12.6% | 10.9–14.4 |
| Received food stamps in the past 12 months among adults | 9.8% | 8.4–11.3 |
| Housing insecurity in the past 12 months among adults | 10.1% | 8.7–11.5 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 6.1–7.8 |
| Loneliness among adults | 36.5% | 32.6–40.7 |
| Utility services shut-off threat in the past 12 months among adults | 7.3% | 6.3–8.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.3% | 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+) | 8.3% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 25.6% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 6.8% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 4.1% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 91.8% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 23.4% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 77.6% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 1.4% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 11.5% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 49.4% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 20.4% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 43.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $68,625 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $166,100 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $1,132 | $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 | 77.4 yr ± 0.39 | 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 0.39 years of 77.4, 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