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ZipVitals

ZIP code

44483

in Warren, OhioPopulation 25,805

37.68/ 100

Ranked #28,198 of 32,066 US ZIPs (bottom 12.1%)

Ranked #1,037 of 1,176 Ohio ZIPs (bottom 11.9%)

Ranked #37 of 50 Youngstown-Warren, OH ZIPs (bottom 26%)

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.

PFAS in drinking water

74.5%

in the top 3.2% nationally

Lower is healthier

ST96th
US97th
Definition & source ›

The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.

A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.

Full methodology ›

Arsenic in groundwater

22.8%

in the top 5.2% nationally

Lower is healthier

ST90th
US95th
Definition & source ›

The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.

A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.

Full methodology ›

Physician access

2.1 per 1,000 residents

in the top 6.9% nationally

Higher is healthier

ST95th
US93rd
Definition & source ›

The number of physicians’ offices 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 ›

Subsidized affordable housing

342 units

in the top 7.1% nationally

Higher is healthier

ST93rd
US93rd
Definition & source ›

The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.

Full methodology ›

Child-care access

0.56 per 1,000 residents

in the top 8.3% nationally

Higher is healthier

ST94th
US92nd
Definition & source ›

The number of child day-care services 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 ›

Transit access

3.2 per 1,000 residents

in the top 9.5% nationally

Higher is healthier

ST89th
US91st
Definition & 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 ›

Grocery access

0.16 per 1,000 residents

in the top 10.4% nationally

Higher is healthier

ST92nd
US90th
Definition & source ›

The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”

Full methodology ›

Diabetes

16.9%

in the top 12.3% nationally

Lower is healthier

ST91st
US88th
Definition & source ›

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

Full methodology ›

Coronary heart disease

9.6%

in the top 13.3% nationally

Lower is healthier

ST92nd
US87th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.

Full methodology ›

Independent-living disability

11.5%

in the top 14.6% nationally

Lower is healthier

ST91st
US85th
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 ›

The read

ZIP 44483, one of several in Warren, Ohio, in overall standing, comes out in the bottom 12.1% nationally (28,198th) and the bottom 11.9% of Ohio (1,037th).

continue reading

A balanced showing across the data, with a few readings each side: distance to an emergency room rests at the national minimum, shared with about 11% of ZIPs. Physicians settles in the top 6.9% nationally, subsidized affordable housing lands in the top 7.1% nationally, and childcare rests in the top 8.3% nationally. Transit settles in the top 9.5% nationally, and grocery lands in the top 10.4% nationally. Distance to a community health center rests at the national minimum, shared with about 23% of ZIPs. On the other hand, modeled pfas settles in the top 3.2% nationally, and arsenic lands in the top 5.2% nationally. Poverty rests in the top 10.7% nationally.

Set within its surrounding area, park land runs far higher than the surrounding ZIPs on this measure. Defined simply, for reference, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. The closest healthier ZIP overall is ZIP 44410, 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.

Compare within

Lifting this score

Climate / Disaster Risk

healthier than 73%

5%

Healthcare Access

in the top 0.00%

5%

Holding it back

Chronic Disease Burden

healthier than 12%

21%

Social Need / SDOH

healthier than 19%

16%

Environmental Hazard

healthier than 7%

14%

Preventive Care

healthier than 38%

13%

Risk Behavior

healthier than 9%

11%

Mental Health

healthier than 12%

8%

Disability

healthier than 18%

7%

Lifting this score

Healthcare Access

in the top 0.00%

5%

About typical

Climate / Disaster Risk

healthier than 57%

5%

Holding it back

Chronic Disease Burden

healthier than 11%

21%

Social Need / SDOH

healthier than 16%

16%

Environmental Hazard

healthier than 14%

14%

Preventive Care

healthier than 24%

13%

Risk Behavior

healthier than 19%

11%

Mental Health

healthier than 23%

8%

Disability

healthier than 9%

7%

Lifting this score

Healthcare Access

in the top 0.00%

5%

About typical

Climate / Disaster Risk

healthier than 43%

5%

Holding it back

Chronic Disease Burden

healthier than 22%

21%

Social Need / SDOH

healthier than 29%

16%

Environmental Hazard

healthier than 4%

14%

Preventive Care

healthier than 31%

13%

Risk Behavior

healthier than 27%

11%

Mental Health

healthier than 22%

8%

Disability

healthier than 27%

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 ›

Findings that name this ZIP

2 of our published findings list 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 72.8 ± 1.4 years. A median household income of $49,017 predicts 77.3 years — 4.5 years below.

    Ranked #5,323 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Below its nearby ZIPs

    The ZIP codes that outlive their neighbors

    Estimated life expectancy is 72.8 ± 1.4 years. The 50 nearest ZIP codes with estimates average 76.6 years — 3.8 years below them.

    Ranked #2,923 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.

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 adults36.3%33.0–39.4
High blood pressure among adults41.9%38.0–45.3
Cancer (non-skin) or melanoma among adults9.7%8.8–10.6
Current asthma among adults11.9%10.5–13.2
Coronary heart disease among adults9.6%8.6–10.4
Chronic obstructive pulmonary disease among adults11.8%10.6–12.9
Depression among adults26.4%22.9–29.7
Diagnosed diabetes among adults16.9%14.9–18.8
High cholesterol among adults who have ever been screened39.3%35.3–42.8
Obesity among adults41.7%35.7–47.1
Stroke among adults5.0%4.6–5.4
All teeth lost among adults aged >=65 years20.3%17.2–23.7
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years10.2%8.7–11.6
Taking medicine to control high blood pressure among adults with high blood pressure81.4%78.9–83.5
Visits to doctor for routine checkup within the past year among adults80.5%77.3–83.2
Cholesterol screening among adults84.5%82.8–86.1
Colorectal cancer screening among adults aged 45–75 years63.6%59.3–67.9
Visited dentist or dental clinic in the past year among adults55.3%52.0–58.6
Mammography use among women aged 50-74 years73.0%66.3–79.3
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.1%11.6–16.6
Current cigarette smoking among adults21.1%18.6–23.5
No leisure-time physical activity among adults34.8%30.4–38.8
Short sleep duration among adults40.9%36.1–45.9
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults25.3%22.5–27.9
Frequent mental distress among adults19.9%17.7–21.8
Frequent physical distress among adults17.2%15.3–19.0
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults17.2%15.3–18.9
Any disability among adults35.9%31.9–39.5
Hearing disability among adults9.0%8.0–9.9
Independent living disability among adults11.5%10.3–12.6
Mobility disability among adults19.1%16.9–21.1
Self-care disability among adults5.8%5.3–6.3
Vision disability among adults7.3%6.7–8.0
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults22.8%19.6–26.3
Food insecurity in the past 12 months among adults21.4%18.9–24.0
Received food stamps in the past 12 months among adults21.3%19.1–23.7
Housing insecurity in the past 12 months among adults15.3%13.4–17.3
Lack of reliable transportation in the past 12 months among adults11.0%9.8–12.3
Loneliness among adults34.0%29.2–39.1
Utility services shut-off threat in the past 12 months among adults12.2%10.8–13.7
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)OH median (p10–p90)
Poverty rate25.2%10.6% (3.1–25.8%) n=32,36410.7% (3.5–26.2%) n=1,177
Uninsured 18–649.8%9.0% (1.5–24.3%) n=32,2867.8% (2.5–18.1%) n=1,174
No HS diploma (25+)11.5%7.9% (1.8–20.7%) n=32,5057.5% (2.3–17.0%) n=1,179
Bachelor's or higher (25+)18.2%23.3% (9.2–53.6%) n=32,50519.7% (8.1–45.8%) n=1,179
Unemployment rate (16+)6.1%3.9% (0.0–9.8%) n=32,2743.7% (0.0–9.8%) n=1,171
Households without a vehicle9.2%3.9% (0.0–12.5%) n=32,3224.4% (0.0–14.5%) n=1,177
Broadband subscription84.3%89.3% (75.1–97.1%) n=32,32288.9% (76.5–96.0%) n=1,177
Housing cost burden (≥30% income)26.6%23.7% (10.6–40.0%) n=32,32221.3% (11.2–34.6%) n=1,177
Homeownership rate66.4%78.7% (51.7–94.0%) n=32,32278.3% (52.8–91.8%) n=1,177
Crowded housing (>1 per room)0.7%1.3% (0.0–6.3%) n=32,3220.8% (0.0–3.5%) n=1,177
Foreign-born population1.5%2.6% (0.0–18.6%) n=32,5531.0% (0.0–6.8%) n=1,180
Single-parent households40.6%53.6% (37.3–74.1%) n=32,08753.2% (36.6–68.1%) n=1,168
Population 65+22.5%19.4% (10.8–33.6%) n=32,55319.0% (11.1–27.2%) n=1,180
Median age41.2 yr42.2 yr (33.0–56.3) n=32,29241.5 yr (33.2–50.5) n=1,169
Median household income$49,017$72,070 ($46,039–$118,707) n=30,318$70,500 ($46,328–$101,197) n=1,127
Median home value$108,800$222,200 ($100,300–$579,820) n=30,049$177,700 ($104,860–$310,980) n=1,117
Median gross rent$815$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 birth72.8 yr ± 0.7378.9 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 0.73 years of 72.8, 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