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ZipVitals

ZIP code

44703

in Canton, OhioPopulation 8,070

25.00/ 100

Ranked #31,472 of 32,066 US ZIPs (bottom 1.9%)

Ranked #1,158 of 1,176 Ohio ZIPs (bottom 1.6%)

Ranked #38 of 40 Canton-Massillon, OH ZIPs (bottom 5.0%)

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.

Walkability

650 intersections/sq mi

in the top 0.03% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.

Full methodology ›

Tooth loss

30.6%

in the top 2.8% nationally

Lower is healthier

ST97th
US97th
Definition & source ›

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

Full methodology ›

Obesity

50.1%

in the top 0.7% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

Self-care disability

7.7%

in the top 3.6% nationally

Lower is healthier

ST97th
US96th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Independent-living disability

14.5%

in the top 3.3% nationally

Lower is healthier

ST97th
US97th
Definition & source ›

The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.

Full methodology ›

Utility shut-off threat

20.2%

in the top 2.4% nationally

Lower is healthier

ST97th
US98th
Definition & source ›

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

Full methodology ›

Fair or poor health

32.8%

in the top 4.5% nationally

Lower is healthier

ST98th
US96th
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

Mammography

65.8%

in the bottom 3.7% nationally

Higher is healthier

ST1st
US4th
Definition & source ›

The estimated share of women aged 50–74 who had a mammogram within the past two years.

Full methodology ›

Cognitive disability

21.9%

in the top 4.1% nationally

Lower is healthier

ST98th
US96th
Definition & source ›

The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.

Full methodology ›

Floodplain exposure

0.00%

at the national minimum

Lower is healthier

ST1st
US1st
Definition & 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 ›

The read

By the composite health measure, ZIP 44703, one of several in Canton, Ohio ranks in the bottom 1.9% nationally (31,472nd) and the bottom 1.6% of Ohio (1,158th).

continue reading

Where the load on this area runs deepest, the data leads: modeled tooth loss stands in the top 2.8% nationally, and obesity lies in the top 0.7% nationally. Modeled self-care disability lands in the top 3.6% nationally, and independent living disability sits in the top 3.3% nationally. Modeled utility shutoff is in the top 2.4% nationally, fair or poor health settles in the top 4.5% nationally, and mammography resides in the bottom 3.7% nationally. Modeled cognitive disability registers in the top 4.1% nationally. More encouragingly, walkability rests in the top 0.03% nationally, and floodplain exposure stands at the national minimum.

Read against the ZIPs closest to it, walkability runs far higher than the surrounding ZIPs on this measure. To spell things out, floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Close by, ZIP 44709, just across the boundary, ranks healthier overall.

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.

Compare within

Lifting this score

Climate / Disaster Risk

healthier than 90%

5%

Healthcare Access

healthier than 81%

5%

Holding it back

Chronic Disease Burden

healthier than 8%

21%

Social Need / SDOH

in the bottom 1.0%

16%

Environmental Hazard

healthier than 9%

14%

Preventive Care

healthier than 6%

13%

Risk Behavior

in the bottom 0.7%

11%

Mental Health

healthier than 3%

8%

Disability

healthier than 5%

7%

Lifting this score

Climate / Disaster Risk

healthier than 98%

5%

Healthcare Access

healthier than 79%

5%

Holding it back

Chronic Disease Burden

healthier than 6%

21%

Social Need / SDOH

in the bottom 0.5%

16%

Environmental Hazard

healthier than 17%

14%

Preventive Care

healthier than 2%

13%

Risk Behavior

healthier than 2%

11%

Mental Health

healthier than 3%

8%

Disability

healthier than 3%

7%

Lifting this score

Climate / Disaster Risk

healthier than 97%

5%

Healthcare Access

healthier than 79%

5%

Holding it back

Chronic Disease Burden

healthier than 10%

21%

Social Need / SDOH

in the bottom 0.00%

16%

Environmental Hazard

healthier than 33%

14%

Preventive Care

in the bottom 0.00%

13%

Risk Behavior

healthier than 5%

11%

Mental Health

in the bottom 0.00%

8%

Disability

healthier than 5%

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 72.4 ± 2.3 years. A median household income of $31,957 predicts 75.6 years — 3.2 years below.

    Ranked #4,372 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 72.4 ± 2.3 years. The 49 nearest ZIP codes with estimates average 77.9 years — 5.5 years below them.

    Ranked #3,473 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.

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 adults31.7%28.8–34.7
High blood pressure among adults42.3%38.7–45.9
Cancer (non-skin) or melanoma among adults6.4%5.8–7.1
Current asthma among adults13.2%11.8–14.8
Coronary heart disease among adults8.8%8.0–9.7
Chronic obstructive pulmonary disease among adults13.0%11.7–14.4
Depression among adults28.1%24.7–31.7
Diagnosed diabetes among adults18.2%16.2–20.3
High cholesterol among adults who have ever been screened36.8%33.4–40.4
Obesity among adults50.1%44.5–55.9
Stroke among adults5.0%4.6–5.5
All teeth lost among adults aged >=65 years30.6%26.6–35.0
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years13.9%11.9–16.0
Taking medicine to control high blood pressure among adults with high blood pressure77.0%74.4–79.5
Visits to doctor for routine checkup within the past year among adults77.0%73.7–80.2
Cholesterol screening among adults79.3%77.2–81.6
Colorectal cancer screening among adults aged 45–75 years56.5%51.9–60.9
Visited dentist or dental clinic in the past year among adults45.3%42.1–48.6
Mammography use among women aged 50-74 years65.8%58.4–72.8
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.7%12.3–17.3
Current cigarette smoking among adults27.9%24.6–31.1
No leisure-time physical activity among adults40.6%36.2–45.2
Short sleep duration among adults43.5%38.9–48.2
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults32.8%29.4–36.1
Frequent mental distress among adults23.4%21.1–25.9
Frequent physical distress among adults19.4%17.4–21.6
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults21.9%19.5–24.2
Any disability among adults40.8%36.7–45.1
Hearing disability among adults7.7%6.9–8.6
Independent living disability among adults14.5%13.0–16.1
Mobility disability among adults20.8%18.5–23.2
Self-care disability among adults7.7%7.0–8.4
Vision disability among adults9.7%8.9–10.6
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults25.5%21.9–29.2
Food insecurity in the past 12 months among adults32.6%28.8–36.3
Received food stamps in the past 12 months among adults35.0%31.4–38.5
Housing insecurity in the past 12 months among adults23.9%21.0–26.8
Lack of reliable transportation in the past 12 months among adults17.3%15.4–19.2
Loneliness among adults39.0%34.1–44.0
Utility services shut-off threat in the past 12 months among adults20.2%17.9–22.6
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)OH median (p10–p90)
Poverty rate39.1%10.6% (3.1–25.8%) n=32,36410.7% (3.5–26.2%) n=1,177
Uninsured 18–6411.0%9.0% (1.5–24.3%) n=32,2867.8% (2.5–18.1%) n=1,174
No HS diploma (25+)13.3%7.9% (1.8–20.7%) n=32,5057.5% (2.3–17.0%) n=1,179
Bachelor's or higher (25+)13.1%23.3% (9.2–53.6%) n=32,50519.7% (8.1–45.8%) n=1,179
Unemployment rate (16+)13.8%3.9% (0.0–9.8%) n=32,2743.7% (0.0–9.8%) n=1,171
Households without a vehicle17.4%3.9% (0.0–12.5%) n=32,3224.4% (0.0–14.5%) n=1,177
Broadband subscription77.9%89.3% (75.1–97.1%) n=32,32288.9% (76.5–96.0%) n=1,177
Housing cost burden (≥30% income)41.9%23.7% (10.6–40.0%) n=32,32221.3% (11.2–34.6%) n=1,177
Homeownership rate32.8%78.7% (51.7–94.0%) n=32,32278.3% (52.8–91.8%) n=1,177
Crowded housing (>1 per room)0.1%1.3% (0.0–6.3%) n=32,3220.8% (0.0–3.5%) n=1,177
Foreign-born population1.7%2.6% (0.0–18.6%) n=32,5531.0% (0.0–6.8%) n=1,180
Single-parent households32.9%53.6% (37.3–74.1%) n=32,08753.2% (36.6–68.1%) n=1,168
Population 65+11.3%19.4% (10.8–33.6%) n=32,55319.0% (11.1–27.2%) n=1,180
Median age34.0 yr42.2 yr (33.0–56.3) n=32,29241.5 yr (33.2–50.5) n=1,169
Median household income$31,957$72,070 ($46,039–$118,707) n=30,318$70,500 ($46,328–$101,197) n=1,127
Median home value$81,200$222,200 ($100,300–$579,820) n=30,049$177,700 ($104,860–$310,980) n=1,117
Median gross rent$815$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 birth72.4 yr ± 1.1778.9 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 1.17 years of 72.4, 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