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ZIP code

54766

in Sheldon, WisconsinPopulation 1,668

ZipVitals Score
How is the ZipVitals Score calculated? →

47.43/ 100

Ranked #19,631 of 32,066 US ZIPs (bottom 39%)

Ranked #671 of 763 Wisconsin ZIPs (bottom 12.1%)

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.

Pharmacy access

0.61 per 1,000 residents

in the top 3.2% nationally

Higher is healthier

ST99th
US97th
Definition & source ›

The number of pharmacies located 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.

Full methodology ›

Distance to a hazardous-chemical facility

19.2 mi

in the top 5.2% nationally

Higher is healthier

ST94th
US95th
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.

Full methodology ›

Home broadband subscription

71.9%

in the bottom 7.3% nationally

Higher is healthier

ST3rd
US7th
Definition & source ›

The share of households with a broadband internet subscription.

Full methodology ›

Crowded housing

6.1%

in the top 10.7% nationally

Lower is healthier

ST96th
US89th
Definition & source ›

The share of occupied homes with more than one person per room, the Census definition of crowded housing.

Full methodology ›

Energy-cost burden

5.1%

in the top 8.3% nationally

Lower is healthier

ST96th
US92nd
Definition & source ›

The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.

A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.

Full methodology ›

Industrial-pollution burden

in the bottom 11.0% nationally

Lower is healthier

ST4th
US11th
Definition & 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 ›

Obesity

42.8%

in the top 9.8% nationally

Lower is healthier

ST87th
US90th
Definition & source ›

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

Full methodology ›

Fatal road crashes

30 per 100,000 residents per year

in the top 13.3% nationally

Lower is healthier

ST91st
US87th
Definition & source ›

The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.

A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.

Full methodology ›

The read

Sheldon, Wisconsin (ZIP 54766), by its composite score, sits in the bottom 39% nationally (19,631st) and the bottom 12.1% of Wisconsin (671st).

continue reading

The measures fall on both sides for this area, fairly evenly: pharmacy resides in the top 3.2% nationally, and distance to a hazardous-chemical facility is in the top 5.2% nationally. Modeled industrial-pollution burden lands in the bottom 11.0% nationally, and humid heat stands in the bottom 12.1% nationally. Pulling the other way, home broadband subscription registers in the bottom 7.3% nationally, crowded housing settles in the top 10.7% nationally, and modeled energy burden sits in the top 8.3% nationally. Modeled obesity lies in the top 9.8% nationally, fatal road crashes rests in the top 13.3% nationally, and modeled fine-particle resides in the top 13.8% nationally.

Next to the surrounding area, park land runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. For a healthier comparison close by, see ZIP 54490, 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

Environmental Hazard

healthier than 72%

14%

Preventive Care

healthier than 62%

13%

Climate / Disaster Risk

healthier than 82%

5%

About typical

Mental Health

healthier than 46%

8%

Holding it back

Chronic Disease Burden

healthier than 33%

21%

Social Need / SDOH

healthier than 14%

16%

Risk Behavior

healthier than 24%

11%

Disability

healthier than 34%

7%

Healthcare Access

healthier than 25%

5%

Lifting this score

Environmental Hazard

healthier than 75%

14%

Climate / Disaster Risk

healthier than 72%

5%

Holding it back

Chronic Disease Burden

healthier than 20%

21%

Social Need / SDOH

healthier than 4%

16%

Preventive Care

healthier than 28%

13%

Risk Behavior

healthier than 20%

11%

Mental Health

healthier than 22%

8%

Disability

healthier than 12%

7%

Healthcare Access

healthier than 30%

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 adults30.8%28.6–33.2
High blood pressure among adults37.2%34.5–40.0
Cancer (non-skin) or melanoma among adults9.4%8.8–10.1
Current asthma among adults11.2%10.2–12.3
Coronary heart disease among adults8.6%7.9–9.5
Chronic obstructive pulmonary disease among adults9.2%8.3–10.2
Depression among adults23.3%20.9–25.9
Diagnosed diabetes among adults13.5%12.2–15.0
High cholesterol among adults who have ever been screened37.0%34.2–40.0
Obesity among adults42.8%38.0–47.9
Stroke among adults4.3%4.0–4.6
All teeth lost among adults aged >=65 years15.0%12.9–17.4
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years8.8%7.5–10.3
Taking medicine to control high blood pressure among adults with high blood pressure80.1%78.2–81.9
Visits to doctor for routine checkup within the past year among adults78.1%75.8–80.4
Cholesterol screening among adults84.7%83.1–86.1
Colorectal cancer screening among adults aged 45–75 years68.9%65.6–72.2
Visited dentist or dental clinic in the past year among adults62.4%59.7–65.1
Mammography use among women aged 50-74 years78.5%73.5–82.8
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults17.8%15.7–20.1
Current cigarette smoking among adults18.2%16.3–20.3
No leisure-time physical activity among adults31.9%28.6–35.3
Short sleep duration among adults33.0%28.9–37.2
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults22.1%20.1–24.5
Frequent mental distress among adults17.1%15.7–18.7
Frequent physical distress among adults15.7%14.4–17.2
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults15.4%14.0–16.9
Any disability among adults35.6%32.5–38.9
Hearing disability among adults9.0%8.2–9.8
Independent living disability among adults9.9%9.0–10.9
Mobility disability among adults17.2%15.5–19.0
Self-care disability among adults4.6%4.2–5.1
Vision disability among adults5.6%5.1–6.1
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults20.9%18.5–23.4
Food insecurity in the past 12 months among adults14.0%12.1–16.0
Received food stamps in the past 12 months among adults16.2%14.1–18.3
Housing insecurity in the past 12 months among adults10.3%9.1–11.6
Lack of reliable transportation in the past 12 months among adults7.7%6.9–8.6
Loneliness among adults31.7%28.2–35.1
Utility services shut-off threat in the past 12 months among adults6.2%5.5–6.9
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WI median (p10–p90)
Poverty rate14.9%10.6% (3.1–25.8%) n=32,3648.5% (3.6–16.0%) n=765
Uninsured 18–6417.2%9.0% (1.5–24.3%) n=32,2866.7% (2.4–14.9%) n=764
No HS diploma (25+)17.7%7.9% (1.8–20.7%) n=32,5055.9% (2.3–12.6%) n=768
Bachelor's or higher (25+)7.0%23.3% (9.2–53.6%) n=32,50523.5% (12.7–44.0%) n=768
Unemployment rate (16+)3.0%3.9% (0.0–9.8%) n=32,2742.6% (0.9–5.6%) n=763
Households without a vehicle6.2%3.9% (0.0–12.5%) n=32,3223.6% (0.8–9.0%) n=764
Broadband subscription71.9%89.3% (75.1–97.1%) n=32,32288.8% (80.0–94.8%) n=764
Housing cost burden (≥30% income)25.4%23.7% (10.6–40.0%) n=32,32221.8% (14.7–29.1%) n=764
Homeownership rate88.8%78.7% (51.7–94.0%) n=32,32281.3% (62.1–91.8%) n=764
Crowded housing (>1 per room)6.1%1.3% (0.0–6.3%) n=32,3221.1% (0.0–3.7%) n=764
Foreign-born population0.5%2.6% (0.0–18.6%) n=32,5531.9% (0.3–6.8%) n=768
Single-parent households65.9%53.6% (37.3–74.1%) n=32,08759.0% (47.7–72.8%) n=762
Population 65+24.1%19.4% (10.8–33.6%) n=32,55320.4% (13.9–32.2%) n=768
Median age42.0 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (36.2–56.1) n=765
Median household income$66,050$72,070 ($46,039–$118,707) n=30,318$75,147 ($57,542–$101,625) n=755
Median home value$150,500$222,200 ($100,300–$579,820) n=30,049$231,900 ($160,140–$367,300) n=755
Median gross rent$885$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 birth83.0 yr ± 0.8678.9 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 0.86 years of 83.0, 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