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ZipVitals

ZIP code

54732

in Cornell, WisconsinPopulation 2,843

48.38/ 100

Ranked #18,448 of 32,066 US ZIPs (bottom 42%)

Ranked #635 of 763 Wisconsin ZIPs (bottom 17%)

Ranked #10 of 16 Eau Claire, WI ZIPs (bottom 38%)

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.

Grocery access

0.35 per 1,000 residents

in the top 2.9% nationally

Higher is healthier

ST96th
US97th
Definition & source ›

The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”

Full methodology ›

Obesity

42.9%

in the top 9.4% nationally

Lower is healthier

ST88th
US91st
Definition & source ›

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

Full methodology ›

The read

By its overall health score, Cornell, Wisconsin (ZIP 54732) lands in the bottom 42% nationally (18,448th) and the bottom 17% of Wisconsin (635th).

continue reading

Neither strongly one way nor the other, the measures sit mixed: grocery lands in the top 2.9% nationally. Modeled loud transportation noise registers at the national minimum, shared with about 22% of ZIPs. Distance to a nursing home sits at the national minimum, shared with about 27% of ZIPs. Modeled humid heat rests in the bottom 15% nationally. Against that, modeled binge drinking is in the top 10.5% nationally, modeled obesity stands in the top 9.4% nationally, and walkability settles in the bottom 12.8% nationally. Modeled fine-particle lies in the top 13.8% nationally, and distance to a community health center resides in the top 17% nationally. Recreation lands at the national minimum, shared with about 35% of ZIPs.

To translate a couple of terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Overall, the nearest healthier neighbor is ZIP 54724, 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 Eau Claire, WI metro area.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Environmental Hazard

healthier than 66%

14%

Climate / Disaster Risk

healthier than 90%

5%

About typical

Preventive Care

healthier than 55%

13%

Holding it back

Chronic Disease Burden

healthier than 38%

21%

Social Need / SDOH

healthier than 39%

16%

Risk Behavior

healthier than 19%

11%

Mental Health

healthier than 39%

8%

Disability

healthier than 39%

7%

Healthcare Access

healthier than 23%

5%

Lifting this score

Environmental Hazard

healthier than 67%

14%

Climate / Disaster Risk

healthier than 89%

5%

Holding it back

Chronic Disease Burden

healthier than 27%

21%

Social Need / SDOH

healthier than 22%

16%

Preventive Care

healthier than 18%

13%

Risk Behavior

healthier than 13%

11%

Mental Health

healthier than 12%

8%

Disability

healthier than 19%

7%

Healthcare Access

healthier than 25%

5%

Lifting this score

Environmental Hazard

healthier than 73%

14%

Climate / Disaster Risk

in the top 0.00%

5%

About typical

Social Need / SDOH

healthier than 47%

16%

Preventive Care

healthier than 40%

13%

Mental Health

healthier than 40%

8%

Holding it back

Chronic Disease Burden

healthier than 13%

21%

Risk Behavior

healthier than 33%

11%

Disability

healthier than 13%

7%

Healthcare Access

in the bottom 0.00%

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 ›

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 adults30.4%27.3–33.7
High blood pressure among adults36.8%33.1–40.6
Cancer (non-skin) or melanoma among adults9.5%8.6–10.5
Current asthma among adults11.5%10.2–12.9
Coronary heart disease among adults8.3%7.4–9.3
Chronic obstructive pulmonary disease among adults8.7%7.7–9.9
Depression among adults24.9%21.5–28.5
Diagnosed diabetes among adults13.0%11.3–14.8
High cholesterol among adults who have ever been screened36.5%32.6–40.4
Obesity among adults42.9%36.7–49.5
Stroke among adults4.1%3.7–4.6
All teeth lost among adults aged >=65 years11.3%9.1–13.7
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years8.3%6.8–10.0
Taking medicine to control high blood pressure among adults with high blood pressure79.2%76.4–81.8
Visits to doctor for routine checkup within the past year among adults76.0%72.3–79.3
Cholesterol screening among adults84.9%83.0–86.7
Colorectal cancer screening among adults aged 45–75 years69.6%64.9–73.8
Visited dentist or dental clinic in the past year among adults64.8%61.2–68.1
Mammography use among women aged 50-74 years76.2%68.9–82.3
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults19.1%15.9–22.3
Current cigarette smoking among adults17.9%15.5–20.7
No leisure-time physical activity among adults31.4%27.0–36.1
Short sleep duration among adults33.4%27.9–39.1
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults21.6%18.8–24.5
Frequent mental distress among adults16.8%14.9–18.9
Frequent physical distress among adults15.5%13.7–17.5
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults15.1%13.3–17.1
Any disability among adults36.3%32.1–40.8
Hearing disability among adults8.9%7.9–9.9
Independent living disability among adults9.6%8.5–10.8
Mobility disability among adults16.3%14.2–18.5
Self-care disability among adults4.4%3.9–4.9
Vision disability among adults5.2%4.7–5.9
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults20.9%18.3–24.0
Food insecurity in the past 12 months among adults12.8%10.9–15.1
Received food stamps in the past 12 months among adults14.8%12.6–17.1
Housing insecurity in the past 12 months among adults9.9%8.6–11.5
Lack of reliable transportation in the past 12 months among adults7.2%6.3–8.2
Loneliness among adults30.6%26.8–34.8
Utility services shut-off threat in the past 12 months among adults5.9%5.1–6.8
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WI median (p10–p90)
Poverty rate10.9%10.6% (3.1–25.8%) n=32,3648.5% (3.6–16.0%) n=765
Uninsured 18–6411.2%9.0% (1.5–24.3%) n=32,2866.7% (2.4–14.9%) n=764
No HS diploma (25+)8.7%7.9% (1.8–20.7%) n=32,5055.9% (2.3–12.6%) n=768
Bachelor's or higher (25+)12.8%23.3% (9.2–53.6%) n=32,50523.5% (12.7–44.0%) n=768
Unemployment rate (16+)1.7%3.9% (0.0–9.8%) n=32,2742.6% (0.9–5.6%) n=763
Households without a vehicle4.8%3.9% (0.0–12.5%) n=32,3223.6% (0.8–9.0%) n=764
Broadband subscription81.6%89.3% (75.1–97.1%) n=32,32288.8% (80.0–94.8%) n=764
Housing cost burden (≥30% income)21.8%23.7% (10.6–40.0%) n=32,32221.8% (14.7–29.1%) n=764
Homeownership rate81.3%78.7% (51.7–94.0%) n=32,32281.3% (62.1–91.8%) n=764
Crowded housing (>1 per room)1.3%1.3% (0.0–6.3%) n=32,3221.1% (0.0–3.7%) n=764
Foreign-born population0.2%2.6% (0.0–18.6%) n=32,5531.9% (0.3–6.8%) n=768
Single-parent households55.8%53.6% (37.3–74.1%) n=32,08759.0% (47.7–72.8%) n=762
Population 65+19.5%19.4% (10.8–33.6%) n=32,55320.4% (13.9–32.2%) n=768
Median age39.5 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (36.2–56.1) n=765
Median household income$62,875$72,070 ($46,039–$118,707) n=30,318$75,147 ($57,542–$101,625) n=755
Median home value$184,000$222,200 ($100,300–$579,820) n=30,049$231,900 ($160,140–$367,300) n=755
Median gross rent$803$1,021 ($677–$1,912) n=25,670$914 ($696–$1,261) n=706
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)WI median (p10–p90)
Life expectancy at birth80.5 yr ± 0.7578.9 yr (74.7–82.8) n=31,30880.4 yr (77.7–83.6) n=712

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 0.75 years of 80.5, 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