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ZipVitals

ZIP code

44452

in North Lima, OhioPopulation 2,602

55.11/ 100

Ranked #9,328 of 32,066 US ZIPs (top 29%)

Ranked #180 of 1,176 Ohio ZIPs (top 15%)

Ranked #3 of 50 Youngstown-Warren, OH ZIPs (top 6.0%)

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.

Lead in tap water

0 ppb

at the national minimum

Lower is healthier

US1st
Definition & 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 ›

PFAS in drinking water

62%

in the top 7.2% nationally

Lower is healthier

ST87th
US93rd
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 ›

Housing insecurity

7.1%

in the bottom 8.1% nationally

Lower is healthier

ST6th
US8th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Food insecurity

8.7%

in the bottom 11.0% nationally

Lower is healthier

ST9th
US11th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

Lack of transportation

5.3%

in the bottom 11.1% nationally

Lower is healthier

ST9th
US11th
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

Colon-cancer screening

72.6%

in the top 8.5% nationally

Higher is healthier

ST97th
US92nd
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Fatal road crashes

30.7 per 100,000 residents per year

in the top 12.7% nationally

Lower is healthier

ST94th
US87th
Definition & source ›

The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.

A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.

Full methodology ›

Utility shut-off threat

5.1%

in the bottom 14.9% nationally

Lower is healthier

ST6th
US15th
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Tooth loss

9.2%

in the bottom 20% nationally

Lower is healthier

ST9th
US20th
Definition & source ›

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

Full methodology ›

Dry extreme heat

0.1 days/year

in the bottom 22% nationally

Lower is healthier

ST5th
US22nd
Definition & source ›

The average number of days per year with a modeled daily high of at least 95 °F.

Full methodology ›

The read

North Lima, Ohio (ZIP 44452), in overall standing, comes out in the top 29% healthiest ZIPs nationally (9,328th) and the top 15% of Ohio (180th).

continue reading

A few measures carry most of this area's good news: lead in tap water registers at the national minimum, modeled housing insecurity is in the bottom 8.1% nationally, and modeled food insecurity lies in the bottom 11.0% nationally. Modeled transportation registers in the bottom 11.1% nationally, modeled colon screening is in the top 8.5% nationally, and lithium in drinking water lies in the bottom 13.4% nationally. Modeled disaster risk registers in the bottom 13.5% nationally. Distance to a nursing home is at the national minimum, shared with about 27% of ZIPs. Set against that, modeled pfas lies in the top 7.2% nationally, and fatal road crashes registers in the top 12.7% nationally.

Set within its surrounding area, park land runs far lower than the surrounding ZIPs on this measure. Defined simply, for reference, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. 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. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. The closest healthier ZIP overall is ZIP 44406, 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

Social Need / SDOH

healthier than 69%

16%

Preventive Care

healthier than 93%

13%

Risk Behavior

healthier than 73%

11%

Mental Health

healthier than 64%

8%

Disability

healthier than 66%

7%

Healthcare Access

healthier than 74%

5%

About typical

Chronic Disease Burden

healthier than 40%

21%

Climate / Disaster Risk

healthier than 57%

5%

Holding it back

Environmental Hazard

healthier than 19%

14%

Lifting this score

Social Need / SDOH

healthier than 76%

16%

Preventive Care

healthier than 96%

13%

Risk Behavior

healthier than 92%

11%

Mental Health

healthier than 94%

8%

Disability

healthier than 64%

7%

Healthcare Access

healthier than 71%

5%

About typical

Chronic Disease Burden

healthier than 55%

21%

Holding it back

Environmental Hazard

healthier than 35%

14%

Climate / Disaster Risk

healthier than 24%

5%

Lifting this score

Chronic Disease Burden

healthier than 90%

21%

Social Need / SDOH

healthier than 84%

16%

Preventive Care

healthier than 96%

13%

Risk Behavior

healthier than 98%

11%

Mental Health

healthier than 98%

8%

Disability

healthier than 88%

7%

About typical

Healthcare Access

healthier than 57%

5%

Holding it back

Environmental Hazard

healthier than 27%

14%

Climate / Disaster Risk

healthier than 18%

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 adults35.7%32.6–38.9
High blood pressure among adults39.0%35.5–42.5
Cancer (non-skin) or melanoma among adults12.2%11.1–13.4
Current asthma among adults10.3%9.1–11.5
Coronary heart disease among adults8.4%7.5–9.5
Chronic obstructive pulmonary disease among adults8.2%7.0–9.4
Depression among adults23.3%20.4–26.4
Diagnosed diabetes among adults12.7%11.1–14.4
High cholesterol among adults who have ever been screened39.2%35.5–42.9
Obesity among adults32.7%27.8–37.9
Stroke among adults4.0%3.6–4.6
All teeth lost among adults aged >=65 years9.2%7.5–11.0
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years6.0%4.9–7.2
Taking medicine to control high blood pressure among adults with high blood pressure83.8%81.5–85.8
Visits to doctor for routine checkup within the past year among adults80.9%78.1–83.7
Cholesterol screening among adults89.1%87.7–90.5
Colorectal cancer screening among adults aged 45–75 years72.6%69.0–76.1
Visited dentist or dental clinic in the past year among adults70.4%67.6–73.0
Mammography use among women aged 50-74 years78.2%72.5–83.2
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.7%12.4–17.4
Current cigarette smoking among adults12.8%11.0–14.7
No leisure-time physical activity among adults23.5%19.9–27.4
Short sleep duration among adults35.8%31.6–40.2
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults17.1%14.8–19.6
Frequent mental distress among adults15.1%13.4–16.8
Frequent physical distress among adults13.7%12.1–15.5
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults12.1%10.6–13.6
Any disability among adults29.5%26.0–33.2
Hearing disability among adults8.5%7.6–9.6
Independent living disability among adults7.6%6.5–8.7
Mobility disability among adults14.5%12.3–16.7
Self-care disability among adults3.4%3.0–3.9
Vision disability among adults4.3%3.8–5.0
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults18.8%15.9–22.3
Food insecurity in the past 12 months among adults8.7%7.2–10.5
Received food stamps in the past 12 months among adults6.6%5.4–8.0
Housing insecurity in the past 12 months among adults7.1%5.9–8.4
Lack of reliable transportation in the past 12 months among adults5.3%4.6–6.2
Loneliness among adults32.1%27.2–37.0
Utility services shut-off threat in the past 12 months among adults5.1%4.4–6.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)OH median (p10–p90)
Poverty rate14.4%10.6% (3.1–25.8%) n=32,36410.7% (3.5–26.2%) n=1,177
Uninsured 18–6410.0%9.0% (1.5–24.3%) n=32,2867.8% (2.5–18.1%) n=1,174
No HS diploma (25+)7.4%7.9% (1.8–20.7%) n=32,5057.5% (2.3–17.0%) n=1,179
Bachelor's or higher (25+)33.3%23.3% (9.2–53.6%) n=32,50519.7% (8.1–45.8%) n=1,179
Unemployment rate (16+)3.9%3.9% (0.0–9.8%) n=32,2743.7% (0.0–9.8%) n=1,171
Households without a vehicle9.9%3.9% (0.0–12.5%) n=32,3224.4% (0.0–14.5%) n=1,177
Broadband subscription87.2%89.3% (75.1–97.1%) n=32,32288.9% (76.5–96.0%) n=1,177
Housing cost burden (≥30% income)28.3%23.7% (10.6–40.0%) n=32,32221.3% (11.2–34.6%) n=1,177
Homeownership rate79.6%78.7% (51.7–94.0%) n=32,32278.3% (52.8–91.8%) n=1,177
Crowded housing (>1 per room)1.4%1.3% (0.0–6.3%) n=32,3220.8% (0.0–3.5%) n=1,177
Foreign-born population1.8%2.6% (0.0–18.6%) n=32,5531.0% (0.0–6.8%) n=1,180
Single-parent households68.5%53.6% (37.3–74.1%) n=32,08753.2% (36.6–68.1%) n=1,168
Population 65+32.0%19.4% (10.8–33.6%) n=32,55319.0% (11.1–27.2%) n=1,180
Median age57.9 yr42.2 yr (33.0–56.3) n=32,29241.5 yr (33.2–50.5) n=1,169
Median household income$61,602$72,070 ($46,039–$118,707) n=30,318$70,500 ($46,328–$101,197) n=1,127
Median home value$256,600$222,200 ($100,300–$579,820) n=30,049$177,700 ($104,860–$310,980) n=1,117
Median gross rent$732$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 birth77.5 yr ± 0.6778.9 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 0.67 years of 77.5, 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