ZIP code
44709
in Canton, OhioPopulation 18,614
46.43/ 100
Ranked #20,842 of 32,066 US ZIPs (bottom 35%)
Ranked #648 of 1,176 Ohio ZIPs (bottom 45%)
Ranked #18 of 40 Canton-Massillon, OH ZIPs (top 45%)
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
6.4 ppb
in the top 7.0% nationally
Lower is healthier
US93rdDefinition & 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 ›Walkability
120 intersections/sq mi
in the top 7.5% nationally
Higher is healthier
ST91stUS93rdDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Lithium in drinking water
10 µg/L
in the bottom 8.6% nationally
Lower is healthier
ST12thUS9thDefinition & 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 ›Elder-services access
0.16 per 1,000 residents
in the top 9.1% nationally
Higher is healthier
ST94thUS91stDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Tree cover
0.22%
in the bottom 17% nationally
Higher is healthier
ST7thUS17thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Dry extreme heat
0.1 days/year
in the bottom 22% nationally
Lower is healthier
ST5thUS22ndDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
ZIP 44709, one of several in Canton, Ohio, by its composite score, sits in the bottom 35% nationally (20,842nd) and the bottom 45% of Ohio (648th).
The measures fall on both sides for this area, fairly evenly: walkability settles in the top 7.5% nationally, and lithium in drinking water sits in the bottom 8.6% nationally. Elder services lies in the top 9.1% nationally, and distance to an emergency room rests in the bottom 13.1% nationally. Distance to a nursing home resides at the national minimum, shared with about 27% of ZIPs. Outpatient is in the top 16% nationally. Pulling the other way, lead in tap water lands in the top 7.0% nationally, households without a vehicle stands in the top 12.7% nationally, and modeled industrial-pollution burden registers in the top 14.5% nationally. Distance to a hazardous-chemical facility settles at the national minimum, shared with about 31% of ZIPs.
Next to the surrounding area, park land runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, 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. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. For a healthier comparison close by, see ZIP 44718, 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
Climate / Disaster Risk
healthier than 80%
5%
Healthcare Access
healthier than 75%
5%
About typical
Preventive Care
healthier than 47%
13%
Disability
healthier than 52%
7%
Holding it back
Chronic Disease Burden
healthier than 36%
21%
Social Need / SDOH
healthier than 29%
16%
Environmental Hazard
healthier than 7%
14%
Risk Behavior
healthier than 37%
11%
Mental Health
healthier than 25%
8%
Lifting this score
Risk Behavior
healthier than 67%
11%
Climate / Disaster Risk
healthier than 78%
5%
Healthcare Access
healthier than 73%
5%
About typical
Chronic Disease Burden
healthier than 48%
21%
Mental Health
healthier than 55%
8%
Disability
healthier than 46%
7%
Holding it back
Social Need / SDOH
healthier than 30%
16%
Environmental Hazard
healthier than 13%
14%
Preventive Care
healthier than 38%
13%
Lifting this score
Chronic Disease Burden
healthier than 67%
21%
Risk Behavior
healthier than 67%
11%
Climate / Disaster Risk
healthier than 62%
5%
Healthcare Access
healthier than 74%
5%
About typical
Preventive Care
healthier than 41%
13%
Mental Health
healthier than 49%
8%
Disability
healthier than 59%
7%
Holding it back
Social Need / SDOH
healthier than 38%
16%
Environmental Hazard
healthier than 26%
14%
“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
44703
Ohioshares a border
Score 25.00
Closest healthier
44718
Ohioshares a border
Score 56.57
Similar health profile
16701
Pennsylvania96% similar profile
Score 46.98
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 | 31.6% | 28.7–34.5 |
| High blood pressure among adults | 37.9% | 34.5–41.4 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.5–10.2 |
| Current asthma among adults | 11.5% | 10.3–12.9 |
| Coronary heart disease among adults | 7.7% | 6.9–8.5 |
| Chronic obstructive pulmonary disease among adults | 8.6% | 7.8–9.6 |
| Depression among adults | 25.5% | 22.3–28.9 |
| Diagnosed diabetes among adults | 13.5% | 11.9–15.2 |
| High cholesterol among adults who have ever been screened | 37.6% | 34.2–41.2 |
| Obesity among adults | 40.2% | 35.0–45.9 |
| Stroke among adults | 3.9% | 3.6–4.2 |
| All teeth lost among adults aged >=65 years | 17.0% | 14.2–20.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.6% | 6.5–9.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.9% | 77.6–82.2 |
| Visits to doctor for routine checkup within the past year among adults | 79.2% | 76.1–82.2 |
| Cholesterol screening among adults | 85.7% | 84.0–87.3 |
| Colorectal cancer screening among adults aged 45–75 years | 64.8% | 60.4–68.9 |
| Visited dentist or dental clinic in the past year among adults | 60.3% | 57.0–63.5 |
| Mammography use among women aged 50-74 years | 72.6% | 65.9–78.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.8% | 13.3–18.7 |
| Current cigarette smoking among adults | 16.3% | 14.3–18.6 |
| No leisure-time physical activity among adults | 28.6% | 25.0–32.6 |
| Short sleep duration among adults | 36.8% | 32.5–41.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.4% | 18.1–22.9 |
| Frequent mental distress among adults | 18.1% | 16.2–20.1 |
| Frequent physical distress among adults | 14.5% | 12.9–16.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.6% | 13.0–16.3 |
| Any disability among adults | 31.7% | 28.2–35.4 |
| Hearing disability among adults | 7.4% | 6.7–8.3 |
| Independent living disability among adults | 8.8% | 7.9–9.8 |
| Mobility disability among adults | 14.9% | 13.2–16.8 |
| Self-care disability among adults | 4.0% | 3.7–4.4 |
| Vision disability among adults | 5.1% | 4.6–5.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.8% | 17.8–24.2 |
| Food insecurity in the past 12 months among adults | 13.9% | 11.9–16.0 |
| Received food stamps in the past 12 months among adults | 12.4% | 10.6–14.3 |
| Housing insecurity in the past 12 months among adults | 11.3% | 9.8–13.1 |
| Lack of reliable transportation in the past 12 months among adults | 8.1% | 7.1–9.2 |
| Loneliness among adults | 35.4% | 30.8–40.4 |
| Utility services shut-off threat in the past 12 months among adults | 8.6% | 7.5–9.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.9% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 9.4% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 6.4% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 28.8% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 4.5% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 11.0% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 86.1% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 28.7% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 61.3% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 0.3% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 3.5% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 55.2% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 23.4% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 43.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $57,842 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $161,200 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $858 | $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 | 79.0 yr ± 0.70 | 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 0.70 years of 79.0, 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