ZIP code
44710
in Canton, OhioPopulation 9,067
39.52/ 100
Ranked #27,076 of 32,066 US ZIPs (bottom 16%)
Ranked #983 of 1,176 Ohio ZIPs (bottom 16%)
Ranked #33 of 40 Canton-Massillon, OH ZIPs (bottom 18%)
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.
Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Industrial-pollution burden
in the top 3.4% nationally
Lower is healthier
ST95thUS97thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Walkability
180 intersections/sq mi
in the top 3.6% nationally
Higher is healthier
ST95thUS96thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Fatal road crashes
1.1 per 100,000 residents per year
in the bottom 4.7% nationally
Lower is healthier
ST3rdUS5thDefinition & 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 ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full 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 9.4% nationally
Lower is healthier
ST19thUS9thDefinition & 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 ›Households without a vehicle
12.7%
in the top 9.9% nationally
Lower is healthier
ST87thUS90thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Physician access
1.6 per 1,000 residents
in the top 10.4% nationally
Higher is healthier
ST93rdUS90thDefinition & 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 ›Obesity
43.1%
in the top 8.6% nationally
Lower is healthier
ST84thUS91stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›The read
On balance, and by the composite measure, ZIP 44710, one of several in Canton, Ohio ranks in the bottom 16% nationally (27,076th) and the bottom 16% of Ohio (983rd).
The measures split the difference for this area: floodplain exposure is at the national minimum, and walkability stands in the top 3.6% nationally. Fatal road crashes settles in the bottom 4.7% nationally. Distance to an emergency room lies at the national minimum, shared with about 11% of ZIPs. Lithium in drinking water resides in the bottom 9.4% nationally, and physicians lands in the top 10.4% nationally. Against that, modeled industrial-pollution burden registers in the top 3.4% nationally, modeled tree cover sits at the national minimum, and lead in tap water rests in the top 5.7% nationally. Households without a vehicle is in the top 9.9% nationally.
Compared with the ZIPs it borders, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. In plainer terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. 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. For a healthier nearby ZIP overall, look to ZIP 44646, 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 90%
5%
Healthcare Access
healthier than 86%
5%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Social Need / SDOH
healthier than 11%
16%
Environmental Hazard
healthier than 4%
14%
Preventive Care
healthier than 26%
13%
Risk Behavior
healthier than 11%
11%
Mental Health
healthier than 9%
8%
Disability
healthier than 33%
7%
Lifting this score
Climate / Disaster Risk
healthier than 98%
5%
Healthcare Access
healthier than 84%
5%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
Social Need / SDOH
healthier than 10%
16%
Environmental Hazard
healthier than 7%
14%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 22%
11%
Mental Health
healthier than 16%
8%
Disability
healthier than 21%
7%
Lifting this score
Climate / Disaster Risk
healthier than 95%
5%
Healthcare Access
healthier than 87%
5%
About typical
Chronic Disease Burden
healthier than 51%
21%
Holding it back
Social Need / SDOH
healthier than 10%
16%
Environmental Hazard
healthier than 15%
14%
Preventive Care
healthier than 15%
13%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 23%
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 74.1 ± 1.4 years. A median household income of $47,305 predicts 77.1 years — 3.1 years below.
Ranked #4,230 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 74.1 ± 1.4 years. The 49 nearest ZIP codes with estimates average 78.2 years — 4.2 years below them.
Ranked #3,093 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
44646
Ohioshares a border
Score 48.27
Closest healthier
44708
Ohioshares a border
Score 45.92
Similar health profile
44305
Ohio99% similar profile
Score 37.25
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 | 31.7% | 28.9–34.6 |
| High blood pressure among adults | 38.4% | 35.0–41.9 |
| Cancer (non-skin) or melanoma among adults | 8.4% | 7.7–9.3 |
| Current asthma among adults | 12.2% | 10.9–13.7 |
| Coronary heart disease among adults | 7.7% | 6.9–8.5 |
| Chronic obstructive pulmonary disease among adults | 10.1% | 9.0–11.3 |
| Depression among adults | 27.1% | 23.9–30.6 |
| Diagnosed diabetes among adults | 14.2% | 12.5–16.0 |
| High cholesterol among adults who have ever been screened | 37.3% | 33.8–40.8 |
| Obesity among adults | 43.1% | 37.7–48.9 |
| Stroke among adults | 4.1% | 3.7–4.4 |
| All teeth lost among adults aged >=65 years | 18.4% | 15.3–21.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.9% | 8.4–11.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.3% | 75.7–80.7 |
| Visits to doctor for routine checkup within the past year among adults | 77.9% | 74.6–81.0 |
| Cholesterol screening among adults | 83.4% | 81.4–85.4 |
| Colorectal cancer screening among adults aged 45–75 years | 63.5% | 59.2–67.6 |
| Visited dentist or dental clinic in the past year among adults | 56.5% | 53.2–59.8 |
| Mammography use among women aged 50-74 years | 71.2% | 64.3–77.6 |
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 | 20.8% | 18.2–23.4 |
| No leisure-time physical activity among adults | 32.8% | 28.6–37.2 |
| Short sleep duration among adults | 38.7% | 34.3–43.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.1% | 21.3–26.9 |
| Frequent mental distress among adults | 20.4% | 18.3–22.7 |
| Frequent physical distress among adults | 16.2% | 14.4–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.3% | 15.4–19.3 |
| Any disability among adults | 34.7% | 30.9–38.8 |
| Hearing disability among adults | 7.3% | 6.6–8.2 |
| Independent living disability among adults | 10.5% | 9.4–11.7 |
| Mobility disability among adults | 16.4% | 14.5–18.5 |
| Self-care disability among adults | 4.8% | 4.3–5.3 |
| Vision disability among adults | 6.1% | 5.5–6.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.9% | 19.7–26.5 |
| Food insecurity in the past 12 months among adults | 19.0% | 16.4–21.8 |
| Received food stamps in the past 12 months among adults | 18.3% | 15.9–20.8 |
| Housing insecurity in the past 12 months among adults | 14.8% | 12.9–17.0 |
| Lack of reliable transportation in the past 12 months among adults | 10.4% | 9.2–11.8 |
| Loneliness among adults | 37.4% | 32.5–42.5 |
| Utility services shut-off threat in the past 12 months among adults | 11.3% | 9.9–12.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 24.2% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 16.9% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 10.2% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 16.3% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 6.3% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 12.7% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 87.8% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 32.9% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 60.2% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 3.1% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 2.7% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 36.0% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 16.2% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 35.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $47,305 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $104,600 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $948 | $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 | 74.1 yr ± 0.69 | 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 0.69 years of 74.1, 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