ZIP code
44721
in Canton, OhioPopulation 14,272
55.61/ 100
Ranked #8,738 of 32,066 US ZIPs (top 27%)
Ranked #165 of 1,176 Ohio ZIPs (top 14.1%)
Ranked #5 of 40 Canton-Massillon, OH ZIPs (top 12.5%)
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
7.3 ppb
in the top 5.7% nationally
Lower is healthier
US94thDefinition & 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 ›Lithium in drinking water
10 µg/L
in the bottom 8.8% nationally
Lower is healthier
ST13thUS9thDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
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
57.9%
in the top 8.8% nationally
Lower is healthier
ST85thUS91stDefinition & 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 ›Dry extreme heat
0.1 days/year
in the bottom 23% nationally
Lower is healthier
ST9thUS23rdDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
Overall, ZIP 44721, one of several in Canton, Ohio places in the top 27% healthiest ZIPs nationally (8,738th) and the top 14.1% of Ohio (165th).
The standout strengths in the data are the natural place to begin: lithium in drinking water registers in the bottom 8.8% nationally, and modeled food insecurity settles in the bottom 13.5% nationally. Crowded housing sits at the national minimum, shared with about 29% of ZIPs. Modeled transportation lies in the bottom 15% nationally, cognitive disability rests in the bottom 16% nationally, and housing insecurity resides in the bottom 17% nationally. Modeled independent living disability is in the bottom 16% nationally. On the other side, lead in tap water lands in the top 5.7% nationally, modeled pfas stands in the top 8.8% nationally, and distance to a Superfund site registers in the bottom 18% nationally.
Beside the areas that surround it, park land runs far lower than the surrounding ZIPs on this measure. For readers new to these terms, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. 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. Among nearby ZIPs, the nearest healthier one overall is ZIP 44652, 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 Canton-Massillon, 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 76%
16%
Preventive Care
healthier than 81%
13%
Risk Behavior
healthier than 62%
11%
Disability
healthier than 82%
7%
Climate / Disaster Risk
healthier than 80%
5%
About typical
Chronic Disease Burden
healthier than 53%
21%
Mental Health
healthier than 51%
8%
Healthcare Access
healthier than 51%
5%
Holding it back
Environmental Hazard
healthier than 22%
14%
Lifting this score
Chronic Disease Burden
healthier than 73%
21%
Social Need / SDOH
healthier than 83%
16%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 87%
11%
Mental Health
healthier than 89%
8%
Disability
healthier than 86%
7%
Climate / Disaster Risk
healthier than 77%
5%
About typical
Healthcare Access
healthier than 45%
5%
Holding it back
Environmental Hazard
healthier than 39%
14%
Lifting this score
Chronic Disease Burden
healthier than 90%
21%
Social Need / SDOH
healthier than 92%
16%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 92%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 92%
7%
About typical
Environmental Hazard
healthier than 54%
14%
Climate / Disaster Risk
healthier than 59%
5%
Holding it back
Healthcare Access
healthier than 38%
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 ›
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.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 79.9 ± 1.4 years. The 49 nearest ZIP codes with estimates average 76.7 years — 3.1 years above them.
Ranked #741 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.
Nearby
44632
Ohioshares a border
Score 53.23
Closest healthier
44652
Ohioshares a border
Score 56.16
Similar health profile
44273
Ohio99% similar profile
Score 56.33
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 | 31.3% | 28.4–34.5 |
| High blood pressure among adults | 36.6% | 33.2–40.2 |
| Cancer (non-skin) or melanoma among adults | 10.1% | 9.2–11.1 |
| Current asthma among adults | 10.7% | 9.6–12.0 |
| Coronary heart disease among adults | 7.0% | 6.2–7.7 |
| Chronic obstructive pulmonary disease among adults | 7.2% | 6.3–8.1 |
| Depression among adults | 24.2% | 21.1–27.5 |
| Diagnosed diabetes among adults | 12.1% | 10.6–13.8 |
| High cholesterol among adults who have ever been screened | 38.6% | 34.9–42.4 |
| Obesity among adults | 38.0% | 32.8–43.7 |
| Stroke among adults | 3.3% | 3.0–3.6 |
| All teeth lost among adults aged >=65 years | 9.9% | 8.1–11.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.9% | 4.9–7.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.6% | 78.0–83.0 |
| Visits to doctor for routine checkup within the past year among adults | 79.9% | 76.8–82.8 |
| Cholesterol screening among adults | 88.5% | 87.0–90.0 |
| Colorectal cancer screening among adults aged 45–75 years | 68.8% | 64.8–72.7 |
| Visited dentist or dental clinic in the past year among adults | 67.1% | 64.1–70.1 |
| Mammography use among women aged 50-74 years | 76.7% | 70.5–82.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.6% | 14.0–19.5 |
| Current cigarette smoking among adults | 13.8% | 11.9–16.0 |
| No leisure-time physical activity among adults | 24.3% | 21.0–28.0 |
| Short sleep duration among adults | 34.5% | 30.3–38.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.5% | 14.6–18.7 |
| Frequent mental distress among adults | 15.9% | 14.2–17.8 |
| Frequent physical distress among adults | 12.8% | 11.4–14.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.8% | 10.4–13.3 |
| Any disability among adults | 27.0% | 23.8–30.5 |
| Hearing disability among adults | 6.8% | 6.0–7.6 |
| Independent living disability among adults | 6.6% | 5.9–7.5 |
| Mobility disability among adults | 12.3% | 10.7–14.0 |
| Self-care disability among adults | 3.1% | 2.8–3.4 |
| Vision disability among adults | 3.7% | 3.4–4.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.9% | 16.1–22.2 |
| Food insecurity in the past 12 months among adults | 9.1% | 7.6–10.8 |
| Received food stamps in the past 12 months among adults | 7.3% | 6.0–8.7 |
| Housing insecurity in the past 12 months among adults | 8.1% | 6.8–9.5 |
| Lack of reliable transportation in the past 12 months among adults | 5.6% | 4.8–6.4 |
| Loneliness among adults | 32.8% | 28.3–37.6 |
| Utility services shut-off threat in the past 12 months among adults | 5.9% | 5.1–6.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.0% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 6.7% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 1.7% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 44.0% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 2.4% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 3.3% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 87.5% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 16.0% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 85.1% | 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 | 1.6% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 52.7% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 21.2% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 42.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $98,210 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $239,600 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $957 | $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 | 79.9 yr ± 0.71 | 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 0.71 years of 79.9, 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