ZIP code
44503
in Youngstown, OhioPopulation 938
27.28/ 100
Ranked #31,206 of 32,066 US ZIPs (bottom 2.7%)
Ranked #1,149 of 1,176 Ohio ZIPs (bottom 2.3%)
Ranked #45 of 50 Youngstown-Warren, OH ZIPs (bottom 10.0%)
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.
Short sleep
53.1%
in the top 0.03% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Tooth loss
36.9%
in the top 0.9% 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 ›Transit access
30 per 1,000 residents
in the top 0.2% 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 ›Energy-cost burden
7.3%
in the top 1.0% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Households without a vehicle
78.6%
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Homeownership rate
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Self-care disability
8.3%
in the top 2.3% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Utility shut-off threat
26%
in the top 0.6% 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 ›Poverty rate
72.4%
in the top 0.6% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Civic-institution access
2.6 per 1,000 residents
in the top 0.6% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of civic and social organizations 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 ›The read
Overall, ZIP 44503, one of several in Youngstown, Ohio places in the bottom 2.7% nationally (31,206th) and the bottom 2.3% of Ohio (1,149th).
The data opens on real and measurable burdens: modeled short sleep resides in the top 0.03% nationally, and tooth loss is in the top 0.9% nationally. Modeled energy burden lands in the top 1.0% nationally, and households without a vehicle stands in the top 0.4% nationally. Homeownership registers at the national minimum, modeled self-care disability settles in the top 2.3% nationally, and modeled utility shutoff sits in the top 0.6% nationally. Poverty lies in the top 0.6% nationally. More encouragingly, transit rests in the top 0.2% nationally, and civic resides in the top 0.6% nationally.
Beside the areas that surround it, transit runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, energy burden is the share of household income that goes to home energy bills. Among nearby ZIPs, the nearest healthier one overall is ZIP 44505, 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 Youngstown-Warren, OH 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 80%
5%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Social Need / SDOH
healthier than 3%
16%
Environmental Hazard
healthier than 35%
14%
Preventive Care
healthier than 5%
13%
Risk Behavior
in the bottom 0.04%
11%
Mental Health
healthier than 10%
8%
Disability
healthier than 5%
7%
Climate / Disaster Risk
healthier than 36%
5%
Lifting this score
Healthcare Access
healthier than 77%
5%
About typical
Environmental Hazard
healthier than 60%
14%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Social Need / SDOH
healthier than 2%
16%
Preventive Care
healthier than 1%
13%
Risk Behavior
in the bottom 0.10%
11%
Mental Health
healthier than 17%
8%
Disability
healthier than 2%
7%
Climate / Disaster Risk
healthier than 6%
5%
Lifting this score
Environmental Hazard
healthier than 65%
14%
Healthcare Access
healthier than 65%
5%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Social Need / SDOH
healthier than 6%
16%
Preventive Care
healthier than 2%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 14%
8%
Disability
healthier than 12%
7%
Climate / Disaster Risk
healthier than 4%
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
44502
Ohioshares a border
Score 24.82
Closest healthier
44505
Ohioshares a border
Score 30.46
Similar health profile
63660
Missouri98% similar profile
Score 32.25
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 | 27.9% | 25.3–30.6 |
| High blood pressure among adults | 44.8% | 41.1–48.5 |
| Cancer (non-skin) or melanoma among adults | 4.5% | 4.1–5.0 |
| Current asthma among adults | 11.5% | 10.2–12.8 |
| Coronary heart disease among adults | 8.3% | 7.4–9.2 |
| Chronic obstructive pulmonary disease among adults | 11.7% | 10.2–13.2 |
| Depression among adults | 23.3% | 20.2–26.4 |
| Diagnosed diabetes among adults | 18.7% | 16.7–20.7 |
| High cholesterol among adults who have ever been screened | 32.8% | 29.5–36.2 |
| Obesity among adults | 51.1% | 45.4–56.9 |
| Stroke among adults | 5.3% | 4.7–5.8 |
| All teeth lost among adults aged >=65 years | 36.9% | 32.4–41.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 17.9% | 14.3–22.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.2% | 70.3–76.1 |
| Visits to doctor for routine checkup within the past year among adults | 74.1% | 70.6–77.6 |
| Cholesterol screening among adults | 75.2% | 71.8–78.2 |
| Colorectal cancer screening among adults aged 45–75 years | 58.6% | 54.2–63.1 |
| Visited dentist or dental clinic in the past year among adults | 39.0% | 35.8–42.3 |
| Mammography use among women aged 50-74 years | 74.1% | 67.8–79.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 13.3–18.8 |
| Current cigarette smoking among adults | 30.8% | 26.5–35.0 |
| No leisure-time physical activity among adults | 39.3% | 34.2–44.4 |
| Short sleep duration among adults | 53.1% | 48.4–57.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 34.6% | 30.1–39.0 |
| Frequent mental distress among adults | 22.9% | 20.4–25.4 |
| Frequent physical distress among adults | 18.7% | 16.4–20.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.4% | 19.6–25.4 |
| Any disability among adults | 40.6% | 35.6–45.4 |
| Hearing disability among adults | 6.8% | 6.0–7.6 |
| Independent living disability among adults | 14.3% | 12.4–16.3 |
| Mobility disability among adults | 19.8% | 17.3–22.2 |
| Self-care disability among adults | 8.3% | 7.3–9.4 |
| Vision disability among adults | 10.6% | 9.3–12.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 31.5% | 26.8–36.2 |
| Food insecurity in the past 12 months among adults | 40.2% | 34.3–46.2 |
| Received food stamps in the past 12 months among adults | 41.8% | 36.0–47.8 |
| Housing insecurity in the past 12 months among adults | 30.3% | 25.8–34.8 |
| Lack of reliable transportation in the past 12 months among adults | 20.9% | 17.9–24.3 |
| Loneliness among adults | 39.5% | 33.9–44.9 |
| Utility services shut-off threat in the past 12 months among adults | 26.0% | 22.6–29.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 72.4% | 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+) | 16.6% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 5.4% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 15.6% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 78.6% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 53.8% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 46.0% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 0.0% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 2.5% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 0.0% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 15.4% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 56.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $12,274 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $402 | $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 | 70.5 yr ± 1.62 | 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 1.62 years of 70.5, 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