ZIP code
44705
in Canton, OhioPopulation 16,872
33.28/ 100
Ranked #29,968 of 32,066 US ZIPs (bottom 6.6%)
Ranked #1,109 of 1,176 Ohio ZIPs (bottom 5.7%)
Ranked #36 of 40 Canton-Massillon, OH ZIPs (bottom 10.0%)
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.
Obesity
46.5%
in the top 2.6% nationally
Lower is healthier
ST96thUS97thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Lead in tap water
7.7 ppb
in the top 5.3% nationally
Lower is healthier
US95thDefinition & 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
66.3%
in the top 5.6% nationally
Lower is healthier
ST91stUS94thDefinition & 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 ›Utility shut-off threat
15.5%
in the top 6.3% nationally
Lower is healthier
ST93rdUS94thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Industrial-pollution burden
in the top 6.4% nationally
Lower is healthier
ST85thUS94thDefinition & 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
120 intersections/sq mi
in the top 8.1% nationally
Higher is healthier
ST90thUS92ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Loneliness
38%
in the top 8.7% nationally
Lower is healthier
ST89thUS91stDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Lithium in drinking water
10 µg/L
in the bottom 8.8% nationally
Lower is healthier
ST14thUS9thDefinition & 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 ›Self-care disability
6.4%
in the top 9.1% nationally
Lower is healthier
ST94thUS91stDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Lack of transportation
13.5%
in the top 9.1% nationally
Lower is healthier
ST93rdUS91stDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›The read
ZIP 44705, one of several in Canton, Ohio, by its overall standing, sits in the bottom 6.6% nationally (29,968th) and the bottom 5.7% of Ohio (1,109th).
Both sides of the picture show up plainly in this area's numbers: walkability lies in the top 8.1% nationally, and lithium in drinking water sits in the bottom 8.8% nationally. By contrast, modeled obesity settles in the top 2.6% nationally, lead in tap water registers in the top 5.3% nationally, and modeled pfas stands in the top 5.6% nationally. Modeled utility shutoff lands in the top 6.3% nationally, and industrial-pollution burden is in the top 6.4% nationally. Modeled loneliness resides in the top 8.7% nationally, and self-care disability rests in the top 9.1% nationally. Modeled transportation lies in the top 9.1% nationally.
Held up against its neighbors, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. Defined in plain 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. 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. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. The nearest ZIP ranking healthier overall is ZIP 44641, 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 64%
5%
Healthcare Access
healthier than 77%
5%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Social Need / SDOH
healthier than 4%
16%
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 17%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 9%
8%
Disability
healthier than 15%
7%
Lifting this score
Healthcare Access
healthier than 74%
5%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 2%
16%
Environmental Hazard
healthier than 15%
14%
Preventive Care
healthier than 7%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 16%
8%
Disability
healthier than 7%
7%
Climate / Disaster Risk
healthier than 34%
5%
Lifting this score
Healthcare Access
healthier than 77%
5%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Social Need / SDOH
healthier than 5%
16%
Environmental Hazard
healthier than 28%
14%
Preventive Care
healthier than 10%
13%
Risk Behavior
healthier than 10%
11%
Mental Health
healthier than 10%
8%
Disability
healthier than 10%
7%
Climate / Disaster Risk
healthier than 23%
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
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 74.3 ± 1.0 years. A median household income of $43,439 predicts 76.8 years — 2.5 years below.
Ranked #3,401 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 74.3 ± 1.0 years. The 49 nearest ZIP codes with estimates average 77.5 years — 3.2 years below them.
Ranked #2,508 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
44641
Ohioshares a border
Score 50.93
Closest healthier
44714
Ohioshares a border
Score 43.14
Similar health profile
46016
Indiana99% similar profile
Score 30.51
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 | 32.4% | 29.5–35.5 |
| High blood pressure among adults | 41.7% | 38.1–45.3 |
| Cancer (non-skin) or melanoma among adults | 7.6% | 6.9–8.3 |
| Current asthma among adults | 12.7% | 11.3–14.2 |
| Coronary heart disease among adults | 8.5% | 7.7–9.3 |
| Chronic obstructive pulmonary disease among adults | 11.4% | 10.4–12.5 |
| Depression among adults | 26.3% | 23.1–29.9 |
| Diagnosed diabetes among adults | 17.0% | 15.1–19.0 |
| High cholesterol among adults who have ever been screened | 37.7% | 34.1–41.3 |
| Obesity among adults | 46.5% | 40.9–52.3 |
| Stroke among adults | 4.8% | 4.5–5.2 |
| All teeth lost among adults aged >=65 years | 23.1% | 19.8–26.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.5% | 10.0–13.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.0% | 76.5–81.4 |
| Visits to doctor for routine checkup within the past year among adults | 78.4% | 75.4–81.5 |
| Cholesterol screening among adults | 82.9% | 81.1–84.8 |
| Colorectal cancer screening among adults aged 45–75 years | 59.9% | 55.5–64.2 |
| Visited dentist or dental clinic in the past year among adults | 51.1% | 47.9–54.4 |
| Mammography use among women aged 50-74 years | 70.0% | 62.9–76.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.8% | 12.5–17.6 |
| Current cigarette smoking among adults | 23.4% | 20.8–26.2 |
| No leisure-time physical activity among adults | 36.4% | 32.1–40.6 |
| Short sleep duration among adults | 41.6% | 37.1–46.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.2% | 25.3–31.1 |
| Frequent mental distress among adults | 21.0% | 18.9–23.2 |
| Frequent physical distress among adults | 17.6% | 15.8–19.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.7% | 16.8–20.6 |
| Any disability among adults | 37.3% | 33.5–41.1 |
| Hearing disability among adults | 7.5% | 6.7–8.4 |
| Independent living disability among adults | 12.2% | 11.1–13.4 |
| Mobility disability among adults | 19.1% | 17.1–21.2 |
| Self-care disability among adults | 6.4% | 5.8–6.9 |
| Vision disability among adults | 7.9% | 7.3–8.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.7% | 21.3–28.4 |
| Food insecurity in the past 12 months among adults | 25.5% | 22.7–28.6 |
| Received food stamps in the past 12 months among adults | 26.1% | 23.6–29.0 |
| Housing insecurity in the past 12 months among adults | 19.2% | 17.0–21.7 |
| Lack of reliable transportation in the past 12 months among adults | 13.5% | 12.1–15.1 |
| Loneliness among adults | 38.0% | 33.1–43.2 |
| Utility services shut-off threat in the past 12 months among adults | 15.5% | 13.8–17.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.7% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 11.3% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 14.7% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 11.9% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 8.8% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 8.6% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 74.8% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 24.1% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 57.2% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 1.5% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 2.5% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 36.5% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 15.2% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 36.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $43,439 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $81,400 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $905 | $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 | 74.3 yr ± 0.51 | 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 0.51 years of 74.3, 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