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ZipVitals

ZIP code

44506

in Youngstown, OhioPopulation 2,096

20.86/ 100

Ranked #31,828 of 32,066 US ZIPs (bottom 0.8%)

Ranked #1,173 of 1,176 Ohio ZIPs (bottom 0.3%)

Ranked #49 of 50 Youngstown-Warren, OH ZIPs (bottom 2.0%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Vision disability

15.8%

in the top 0.3% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Self-care disability

11.3%

in the top 0.3% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Tooth loss

41%

in the top 0.4% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults aged 65 and older who have lost all of their natural teeth.

Full methodology ›

Diabetes

26.7%

in the top 0.3% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

Fair or poor health

41.8%

in the top 0.4% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

Stroke

7.6%

in the top 0.6% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have had a stroke.

Full methodology ›

Independent-living disability

17.3%

in the top 0.9% nationally

Lower is healthier

ST99th
US99th
Definition & 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 ›

Short sleep

50.2%

in the top 0.3% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Uninsured (under 65)

25%

in the top 2.3% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

The estimated share of adults aged 18–64 with no current health-insurance coverage.

Full methodology ›

Energy-cost burden

7.3%

in the top 1.0% nationally

Lower is healthier

ST99th
US99th
Definition & 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 ›

Cross-source signals

Health need and barriers to care documented here

On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.

These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.

Health need documented here

  • People without health insurance
  • People living in poverty
  • Food insecurity
  • Housing insecurity
  • Adults reporting fair or poor health
  • Chronic conditions

Barriers to reaching care

  • Thin local supply of doctors
  • Households with no vehicle
  • Limited home internet for telehealth

A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.

See the full care-deserts analysis →

The read

In overall standing, ZIP 44506, one of several in Youngstown, Ohio comes out in the bottom 0.8% nationally (31,828th) and the bottom 0.3% of Ohio (1,173rd).

continue reading

The measures that shape daily life here come through in the data: modeled vision disability lies in the top 0.3% nationally, self-care disability sits in the top 0.3% nationally, and tooth loss settles in the top 0.4% nationally. Modeled diabetes registers in the top 0.3% nationally, fair or poor health stands in the top 0.4% nationally, and stroke lands in the top 0.6% nationally. Modeled independent living disability is in the top 0.9% nationally, and short sleep resides in the top 0.3% nationally. Modeled uninsured rests in the top 2.3% nationally, and energy burden lies in the top 1.0% nationally.

Relative to the ZIPs around it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. In plain terms, energy burden is the share of household income that goes to home energy bills. The nearest healthier ZIP overall is ZIP 44405, just across the boundary. This ZIP further shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.

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.

Compare within

Lifting this score

Climate / Disaster Risk

healthier than 65%

5%

Healthcare Access

healthier than 78%

5%

Holding it back

Chronic Disease Burden

healthier than 1%

21%

Social Need / SDOH

in the bottom 0.05%

16%

Environmental Hazard

healthier than 30%

14%

Preventive Care

healthier than 8%

13%

Risk Behavior

in the bottom 0.5%

11%

Mental Health

healthier than 19%

8%

Disability

in the bottom 0.8%

7%

Lifting this score

Healthcare Access

healthier than 75%

5%

About typical

Environmental Hazard

healthier than 52%

14%

Holding it back

Chronic Disease Burden

in the bottom 0.7%

21%

Social Need / SDOH

in the bottom 0.10%

16%

Preventive Care

healthier than 3%

13%

Risk Behavior

healthier than 1%

11%

Mental Health

healthier than 40%

8%

Disability

in the bottom 0.3%

7%

Climate / Disaster Risk

healthier than 38%

5%

Lifting this score

Healthcare Access

healthier than 61%

5%

About typical

Environmental Hazard

healthier than 51%

14%

Holding it back

Chronic Disease Burden

healthier than 4%

21%

Social Need / SDOH

in the bottom 0.00%

16%

Preventive Care

healthier than 6%

13%

Risk Behavior

healthier than 6%

11%

Mental Health

healthier than 37%

8%

Disability

healthier than 2%

7%

Climate / Disaster Risk

healthier than 27%

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.

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
MeasureCrude prevalence95% CI
Arthritis among adults36.2%33.3–39.2
High blood pressure among adults49.4%46.0–52.8
Cancer (non-skin) or melanoma among adults6.0%5.5–6.7
Current asthma among adults12.3%11.0–13.7
Coronary heart disease among adults11.8%10.7–12.8
Chronic obstructive pulmonary disease among adults14.1%12.8–15.6
Depression among adults22.7%19.9–25.8
Diagnosed diabetes among adults26.7%24.3–29.2
High cholesterol among adults who have ever been screened39.0%35.4–42.6
Obesity among adults51.6%45.9–57.3
Stroke among adults7.6%7.0–8.3
All teeth lost among adults aged >=65 years41.0%36.1–46.1
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years25.0%21.6–28.3
Taking medicine to control high blood pressure among adults with high blood pressure82.6%80.6–84.4
Visits to doctor for routine checkup within the past year among adults79.1%76.0–82.0
Cholesterol screening among adults80.9%78.8–82.9
Colorectal cancer screening among adults aged 45–75 years57.1%52.5–61.5
Visited dentist or dental clinic in the past year among adults40.0%36.9–43.1
Mammography use among women aged 50-74 years73.2%66.6–79.0
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults10.8%9.0–12.9
Current cigarette smoking among adults25.8%23.0–28.8
No leisure-time physical activity among adults49.0%44.5–53.8
Short sleep duration among adults50.2%45.5–54.9
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults41.8%38.3–45.8
Frequent mental distress among adults21.2%19.2–23.4
Frequent physical distress among adults22.6%20.4–25.1
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults22.8%20.6–25.3
Any disability among adults47.0%43.0–51.4
Hearing disability among adults9.3%8.4–10.3
Independent living disability among adults17.3%15.7–19.0
Mobility disability among adults29.1%26.5–32.0
Self-care disability among adults11.3%10.3–12.4
Vision disability among adults15.8%14.5–17.2
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults28.9%24.9–32.9
Food insecurity in the past 12 months among adults46.6%42.2–51.0
Received food stamps in the past 12 months among adults46.3%42.1–50.5
Housing insecurity in the past 12 months among adults32.6%29.0–36.1
Lack of reliable transportation in the past 12 months among adults22.5%20.1–25.0
Loneliness among adults39.0%33.8–44.2
Utility services shut-off threat in the past 12 months among adults26.1%23.3–29.0
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)OH median (p10–p90)
Poverty rate44.6%10.6% (3.1–25.8%) n=32,36410.7% (3.5–26.2%) n=1,177
Uninsured 18–649.5%9.0% (1.5–24.3%) n=32,2867.8% (2.5–18.1%) n=1,174
No HS diploma (25+)16.2%7.9% (1.8–20.7%) n=32,5057.5% (2.3–17.0%) n=1,179
Bachelor's or higher (25+)2.7%23.3% (9.2–53.6%) n=32,50519.7% (8.1–45.8%) n=1,179
Unemployment rate (16+)29.1%3.9% (0.0–9.8%) n=32,2743.7% (0.0–9.8%) n=1,171
Households without a vehicle15.1%3.9% (0.0–12.5%) n=32,3224.4% (0.0–14.5%) n=1,177
Broadband subscription77.3%89.3% (75.1–97.1%) n=32,32288.9% (76.5–96.0%) n=1,177
Housing cost burden (≥30% income)56.8%23.7% (10.6–40.0%) n=32,32221.3% (11.2–34.6%) n=1,177
Homeownership rate49.3%78.7% (51.7–94.0%) n=32,32278.3% (52.8–91.8%) n=1,177
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3220.8% (0.0–3.5%) n=1,177
Foreign-born population3.8%2.6% (0.0–18.6%) n=32,5531.0% (0.0–6.8%) n=1,180
Single-parent households20.1%53.6% (37.3–74.1%) n=32,08753.2% (36.6–68.1%) n=1,168
Population 65+10.4%19.4% (10.8–33.6%) n=32,55319.0% (11.1–27.2%) n=1,180
Median age42.2 yr42.2 yr (33.0–56.3) n=32,29241.5 yr (33.2–50.5) n=1,169
Median household income$21,018$72,070 ($46,039–$118,707) n=30,318$70,500 ($46,328–$101,197) n=1,127
Median home value$23,000$222,200 ($100,300–$579,820) n=30,049$177,700 ($104,860–$310,980) n=1,117
Median gross rent$701$1,021 ($677–$1,912) n=25,670$907 ($714–$1,294) n=1,007
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)OH median (p10–p90)
Life expectancy at birth70.6 yr ± 1.4578.9 yr (74.7–82.8) n=31,30877.9 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 1.45 years of 70.6, and it’s very unlikely to be off by more than twice that.

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