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ZipVitals

ZIP code

44707

in Canton, OhioPopulation 9,048

28.63/ 100

Ranked #31,011 of 32,066 US ZIPs (bottom 3.3%)

Ranked #1,146 of 1,176 Ohio ZIPs (bottom 2.6%)

Ranked #37 of 40 Canton-Massillon, OH ZIPs (bottom 7.5%)

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.

Tooth loss

28.9%

in the top 3.8% nationally

Lower is healthier

ST95th
US96th
Definition & source ›

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

Full methodology ›

Independent-living disability

14.1%

in the top 3.9% nationally

Lower is healthier

ST97th
US96th
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 ›

Obesity

47.8%

in the top 1.6% nationally

Lower is healthier

ST98th
US98th
Definition & source ›

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

Full methodology ›

Self-care disability

7.3%

in the top 4.7% nationally

Lower is healthier

ST96th
US95th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Utility shut-off threat

18.3%

in the top 3.6% nationally

Lower is healthier

ST95th
US96th
Definition & source ›

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

Full methodology ›

Households without a vehicle

20.4%

in the top 4.4% nationally

Lower is healthier

ST95th
US96th
Definition & source ›

The share of households with no vehicle available.

Full methodology ›

Vision disability

9.4%

in the top 6.3% nationally

Lower is healthier

ST96th
US94th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Fair or poor health

31.2%

in the top 6.3% nationally

Lower is healthier

ST97th
US94th
Definition & source ›

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

Full methodology ›

Lack of transportation

16.2%

in the top 4.8% nationally

Lower is healthier

ST96th
US95th
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

Lead in tap water

7.7 ppb

in the top 5.4% nationally

Lower is healthier

US95th
Definition & 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 ›

The read

Overall, ZIP 44707, one of several in Canton, Ohio lands in the bottom 3.3% nationally (31,011th) and the bottom 2.6% of Ohio (1,146th).

continue reading

A number of measures mark where this area is under strain: modeled tooth loss sits in the top 3.8% nationally, and independent living disability is in the top 3.9% nationally. Modeled obesity settles in the top 1.6% nationally, and self-care disability resides in the top 4.7% nationally. Modeled utility shutoff registers in the top 3.6% nationally, households without a vehicle rests in the top 4.4% nationally, and modeled vision disability stands in the top 6.3% nationally. Modeled fair or poor health lies in the top 6.3% nationally, modeled transportation lands in the top 4.8% nationally, and lead in tap water sits in the top 5.4% nationally.

Set beside the nearby areas, park land runs far higher than the surrounding ZIPs on this measure. A note on the 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. For a healthier nearby comparison, ZIP 44626, just across the boundary, ranks better 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 75%

5%

Healthcare Access

healthier than 90%

5%

Holding it back

Chronic Disease Burden

healthier than 8%

21%

Social Need / SDOH

healthier than 4%

16%

Environmental Hazard

healthier than 4%

14%

Preventive Care

healthier than 13%

13%

Risk Behavior

healthier than 2%

11%

Mental Health

healthier than 5%

8%

Disability

healthier than 7%

7%

Lifting this score

Climate / Disaster Risk

healthier than 64%

5%

Healthcare Access

healthier than 89%

5%

Holding it back

Chronic Disease Burden

healthier than 5%

21%

Social Need / SDOH

healthier than 3%

16%

Environmental Hazard

healthier than 6%

14%

Preventive Care

healthier than 5%

13%

Risk Behavior

healthier than 4%

11%

Mental Health

healthier than 7%

8%

Disability

healthier than 3%

7%

Lifting this score

Healthcare Access

healthier than 92%

5%

About typical

Climate / Disaster Risk

healthier than 44%

5%

Holding it back

Chronic Disease Burden

healthier than 8%

21%

Social Need / SDOH

healthier than 8%

16%

Environmental Hazard

healthier than 10%

14%

Preventive Care

healthier than 5%

13%

Risk Behavior

healthier than 8%

11%

Mental Health

healthier than 3%

8%

Disability

healthier than 8%

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 73.8 ± 1.3 years. A median household income of $44,943 predicts 76.9 years — 3.1 years below.

    Ranked #4,250 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 73.8 ± 1.3 years. The 49 nearest ZIP codes with estimates average 78.1 years — 4.3 years below them.

    Ranked #3,144 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 adults33.1%30.2–36.1
High blood pressure among adults43.0%39.5–46.6
Cancer (non-skin) or melanoma among adults7.4%6.8–8.2
Current asthma among adults13.1%11.8–14.6
Coronary heart disease among adults9.0%8.2–9.9
Chronic obstructive pulmonary disease among adults12.6%11.5–13.9
Depression among adults27.1%23.9–30.7
Diagnosed diabetes among adults18.0%16.1–20.0
High cholesterol among adults who have ever been screened38.1%34.8–41.7
Obesity among adults47.8%42.4–53.5
Stroke among adults5.2%4.9–5.7
All teeth lost among adults aged >=65 years28.9%25.0–33.1
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years13.0%11.2–15.0
Taking medicine to control high blood pressure among adults with high blood pressure78.7%76.2–81.0
Visits to doctor for routine checkup within the past year among adults78.2%74.9–81.2
Cholesterol screening among adults81.1%78.9–83.1
Colorectal cancer screening among adults aged 45–75 years59.4%54.9–63.6
Visited dentist or dental clinic in the past year among adults47.9%44.7–51.1
Mammography use among women aged 50-74 years70.7%63.8–77.1
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.3%12.0–17.0
Current cigarette smoking among adults26.0%23.3–28.8
No leisure-time physical activity among adults39.5%35.4–43.8
Short sleep duration among adults42.3%37.8–47.0
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults31.2%28.3–34.2
Frequent mental distress among adults22.4%20.3–24.7
Frequent physical distress among adults18.9%17.0–20.9
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults20.8%18.8–22.9
Any disability among adults40.2%36.5–44.2
Hearing disability among adults7.8%7.0–8.7
Independent living disability among adults14.1%12.8–15.5
Mobility disability among adults20.8%18.7–23.1
Self-care disability among adults7.3%6.7–8.0
Vision disability among adults9.4%8.6–10.2
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults25.7%22.1–29.7
Food insecurity in the past 12 months among adults29.9%26.8–33.0
Received food stamps in the past 12 months among adults31.6%28.6–34.3
Housing insecurity in the past 12 months among adults21.9%19.3–24.5
Lack of reliable transportation in the past 12 months among adults16.2%14.4–17.9
Loneliness among adults39.2%34.2–44.5
Utility services shut-off threat in the past 12 months among adults18.3%16.3–20.4
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)OH median (p10–p90)
Poverty rate27.7%10.6% (3.1–25.8%) n=32,36410.7% (3.5–26.2%) n=1,177
Uninsured 18–647.0%9.0% (1.5–24.3%) n=32,2867.8% (2.5–18.1%) n=1,174
No HS diploma (25+)16.6%7.9% (1.8–20.7%) n=32,5057.5% (2.3–17.0%) n=1,179
Bachelor's or higher (25+)9.3%23.3% (9.2–53.6%) n=32,50519.7% (8.1–45.8%) n=1,179
Unemployment rate (16+)3.1%3.9% (0.0–9.8%) n=32,2743.7% (0.0–9.8%) n=1,171
Households without a vehicle20.4%3.9% (0.0–12.5%) n=32,3224.4% (0.0–14.5%) n=1,177
Broadband subscription73.9%89.3% (75.1–97.1%) n=32,32288.9% (76.5–96.0%) n=1,177
Housing cost burden (≥30% income)27.6%23.7% (10.6–40.0%) n=32,32221.3% (11.2–34.6%) n=1,177
Homeownership rate54.7%78.7% (51.7–94.0%) n=32,32278.3% (52.8–91.8%) n=1,177
Crowded housing (>1 per room)1.3%1.3% (0.0–6.3%) n=32,3220.8% (0.0–3.5%) n=1,177
Foreign-born population0.3%2.6% (0.0–18.6%) n=32,5531.0% (0.0–6.8%) n=1,180
Single-parent households35.9%53.6% (37.3–74.1%) n=32,08753.2% (36.6–68.1%) n=1,168
Population 65+14.6%19.4% (10.8–33.6%) n=32,55319.0% (11.1–27.2%) n=1,180
Median age35.9 yr42.2 yr (33.0–56.3) n=32,29241.5 yr (33.2–50.5) n=1,169
Median household income$44,943$72,070 ($46,039–$118,707) n=30,318$70,500 ($46,328–$101,197) n=1,127
Median home value$109,100$222,200 ($100,300–$579,820) n=30,049$177,700 ($104,860–$310,980) n=1,117
Median gross rent$765$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 birth73.8 yr ± 0.6878.9 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 0.68 years of 73.8, 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