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ZipVitals

ZIP code

53585

in Sharon, WisconsinPopulation 2,264

49.33/ 100

Ranked #17,192 of 32,066 US ZIPs (bottom 46%)

Ranked #594 of 763 Wisconsin ZIPs (bottom 22%)

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

0.47 per 1,000 residents

in the top 1.8% nationally

Higher is healthier

ST98th
US98th
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 ›

Fiber broadband

99.1%

in the top 4.5% nationally

Higher is healthier

ST96th
US96th
Definition & source ›

The share of homes where fiber-optic internet service is available.

Full methodology ›

Binge drinking

19.8%

in the top 7.0% nationally

Lower is healthier

ST73rd
US93rd
Definition & source ›

The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.

Full methodology ›

Arsenic in groundwater

11.2%

in the top 15.0% nationally

Lower is healthier

ST95th
US85th
Definition & source ›

The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.

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 ›

Tree cover

1.5%

in the bottom 26% nationally

Higher is healthier

ST9th
US26th
Definition & source ›

The share of this ZIP’s land area covered by forest.

Full methodology ›

The read

Sharon, Wisconsin (ZIP 53585), on the composite measure, lands in the bottom 46% nationally (17,192nd) and the bottom 22% of Wisconsin (594th).

continue reading

Where the data leans one way, another reading answers it: grocery lands in the top 1.8% nationally, and fiber broadband resides in the top 4.5% nationally. Outer-floodplain exposure lies at the national minimum, shared with about 36% of ZIPs. On the other hand, modeled binge drinking settles in the top 7.0% nationally, and obesity stands in the top 11.3% nationally. Modeled radon is in the top 16% nationally, and arsenic rests in the top 15.0% nationally. Modeled industrial-pollution burden sits in the top 15% nationally, and fatal road crashes registers in the top 17% nationally. Recreation lands at the national minimum, shared with about 35% of ZIPs.

Set against the neighboring ZIPs, park land runs far lower than the surrounding ZIPs on this measure. In everyday language, radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. A healthier neighbor overall sits at ZIP 53114, 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.

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 80%

5%

About typical

Chronic Disease Burden

healthier than 53%

21%

Social Need / SDOH

healthier than 48%

16%

Environmental Hazard

healthier than 41%

14%

Preventive Care

healthier than 40%

13%

Mental Health

healthier than 45%

8%

Disability

healthier than 43%

7%

Holding it back

Risk Behavior

healthier than 17%

11%

Healthcare Access

healthier than 35%

5%

Lifting this score

Climate / Disaster Risk

healthier than 68%

5%

About typical

Chronic Disease Burden

healthier than 44%

21%

Healthcare Access

healthier than 46%

5%

Holding it back

Social Need / SDOH

healthier than 32%

16%

Environmental Hazard

healthier than 33%

14%

Preventive Care

healthier than 8%

13%

Risk Behavior

healthier than 10%

11%

Mental Health

healthier than 21%

8%

Disability

healthier than 24%

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 ›

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 adults27.5%24.4–30.6
High blood pressure among adults34.5%30.6–38.2
Cancer (non-skin) or melanoma among adults8.1%7.3–9.0
Current asthma among adults11.2%9.9–12.6
Coronary heart disease among adults7.4%6.5–8.3
Chronic obstructive pulmonary disease among adults7.9%6.8–9.1
Depression among adults23.4%20.0–26.9
Diagnosed diabetes among adults12.5%10.8–14.3
High cholesterol among adults who have ever been screened35.3%31.4–39.1
Obesity among adults42.4%35.6–49.2
Stroke among adults3.8%3.4–4.2
All teeth lost among adults aged >=65 years13.0%10.6–15.6
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years10.3%8.5–12.5
Taking medicine to control high blood pressure among adults with high blood pressure77.3%74.4–80.0
Visits to doctor for routine checkup within the past year among adults76.2%72.7–79.6
Cholesterol screening among adults84.3%82.2–86.3
Colorectal cancer screening among adults aged 45–75 years67.0%62.3–71.6
Visited dentist or dental clinic in the past year among adults62.5%59.2–65.9
Mammography use among women aged 50-74 years76.1%69.1–82.2
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults19.8%16.6–23.2
Current cigarette smoking among adults17.0%14.3–20.1
No leisure-time physical activity among adults30.5%25.8–35.3
Short sleep duration among adults34.4%29.0–40.1
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults21.1%18.1–24.0
Frequent mental distress among adults17.1%15.0–19.2
Frequent physical distress among adults15.4%13.4–17.3
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults15.2%13.3–17.3
Any disability among adults33.5%29.2–38.0
Hearing disability among adults7.6%6.7–8.5
Independent living disability among adults9.5%8.3–10.7
Mobility disability among adults15.8%13.6–18.0
Self-care disability among adults4.4%3.9–5.0
Vision disability among adults5.5%4.8–6.1
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults21.9%18.8–25.4
Food insecurity in the past 12 months among adults15.2%12.6–18.2
Received food stamps in the past 12 months among adults16.4%13.7–19.5
Housing insecurity in the past 12 months among adults11.8%10.0–14.0
Lack of reliable transportation in the past 12 months among adults8.3%7.1–9.6
Loneliness among adults31.9%27.5–36.8
Utility services shut-off threat in the past 12 months among adults6.8%5.7–7.9
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WI median (p10–p90)
Poverty rate9.3%10.6% (3.1–25.8%) n=32,3648.5% (3.6–16.0%) n=765
Uninsured 18–6413.4%9.0% (1.5–24.3%) n=32,2866.7% (2.4–14.9%) n=764
No HS diploma (25+)11.6%7.9% (1.8–20.7%) n=32,5055.9% (2.3–12.6%) n=768
Bachelor's or higher (25+)17.8%23.3% (9.2–53.6%) n=32,50523.5% (12.7–44.0%) n=768
Unemployment rate (16+)3.6%3.9% (0.0–9.8%) n=32,2742.6% (0.9–5.6%) n=763
Households without a vehicle5.1%3.9% (0.0–12.5%) n=32,3223.6% (0.8–9.0%) n=764
Broadband subscription93.6%89.3% (75.1–97.1%) n=32,32288.8% (80.0–94.8%) n=764
Housing cost burden (≥30% income)22.0%23.7% (10.6–40.0%) n=32,32221.8% (14.7–29.1%) n=764
Homeownership rate68.5%78.7% (51.7–94.0%) n=32,32281.3% (62.1–91.8%) n=764
Crowded housing (>1 per room)1.7%1.3% (0.0–6.3%) n=32,3221.1% (0.0–3.7%) n=764
Foreign-born population7.4%2.6% (0.0–18.6%) n=32,5531.9% (0.3–6.8%) n=768
Single-parent households55.2%53.6% (37.3–74.1%) n=32,08759.0% (47.7–72.8%) n=762
Population 65+11.7%19.4% (10.8–33.6%) n=32,55320.4% (13.9–32.2%) n=768
Median age36.6 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (36.2–56.1) n=765
Median household income$74,779$72,070 ($46,039–$118,707) n=30,318$75,147 ($57,542–$101,625) n=755
Median home value$200,400$222,200 ($100,300–$579,820) n=30,049$231,900 ($160,140–$367,300) n=755
Median gross rent$1,135$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 birth78.4 yr ± 0.9878.9 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 0.98 years of 78.4, 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