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ZipVitals

ZIP code

54768

in Stanley, WisconsinPopulation 6,557

46.97/ 100

Ranked #20,198 of 32,066 US ZIPs (bottom 37%)

Ranked #691 of 763 Wisconsin ZIPs (bottom 9.5%)

Ranked #15 of 16 Eau Claire, WI ZIPs (bottom 6.3%)

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.

Binge drinking

21.2%

in the top 2.9% nationally

Lower is healthier

ST93rd
US97th
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 ›

Obesity

44.4%

in the top 5.4% nationally

Lower is healthier

ST96th
US95th
Definition & source ›

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

Full methodology ›

Home broadband subscription

76.4%

in the bottom 11.6% nationally

Higher is healthier

ST6th
US12th
Definition & source ›

The share of households with a broadband internet subscription.

Full methodology ›

Households without a vehicle

11.3%

in the top 12.0% nationally

Lower is healthier

ST95th
US88th
Definition & source ›

The share of households with no vehicle available.

Full methodology ›

Crowded housing

4.4%

in the top 17% nationally

Lower is healthier

ST93rd
US83rd
Definition & source ›

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

Full methodology ›

Poverty rate

20.5%

in the top 17% nationally

Lower is healthier

ST95th
US83rd
Definition & source ›

The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.

Full methodology ›

Median household income

$54,964

in the bottom 21% nationally

Higher is healthier

ST7th
US21st
Definition & source ›

The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.

Full methodology ›

Colon-cancer screening

61.4%

in the bottom 20% nationally

Higher is healthier

ST1st
US20th
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Housing insecurity

12.9%

in the top 30% nationally

Lower is healthier

ST94th
US70th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Lack of transportation

8.7%

in the top 35% nationally

Lower is healthier

ST92nd
US65th
Definition & source ›

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

Full methodology ›

The read

On balance, and by the composite measure, Stanley, Wisconsin (ZIP 54768) ranks in the bottom 37% nationally (20,198th) and the bottom 9.5% of Wisconsin (691st).

continue reading

Neither strongly one way nor the other, the measures sit mixed: distance to an emergency room settles at the national minimum, shared with about 11% of ZIPs. Grocery lies in the top 10.6% nationally, and modeled humid heat resides in the bottom 14.4% nationally. Against that, modeled binge drinking lands in the top 2.9% nationally, modeled obesity registers in the top 5.4% nationally, and home broadband subscription sits in the bottom 11.6% nationally. Households without a vehicle rests in the top 12.0% nationally, modeled fine-particle is in the top 14.1% nationally, and walkability stands in the bottom 15.0% nationally. Distance to a hazardous-chemical facility settles at the national minimum, shared with about 31% of ZIPs.

In plainer terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. 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. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. For a healthier nearby ZIP overall, look to ZIP 54722, 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 70%

14%

Climate / Disaster Risk

healthier than 88%

5%

About typical

Chronic Disease Burden

healthier than 59%

21%

Mental Health

healthier than 51%

8%

Disability

healthier than 47%

7%

Holding it back

Social Need / SDOH

healthier than 17%

16%

Preventive Care

healthier than 17%

13%

Risk Behavior

healthier than 5%

11%

Healthcare Access

healthier than 27%

5%

Lifting this score

Environmental Hazard

healthier than 74%

14%

Climate / Disaster Risk

healthier than 83%

5%

About typical

Chronic Disease Burden

healthier than 55%

21%

Holding it back

Social Need / SDOH

healthier than 5%

16%

Preventive Care

healthier than 2%

13%

Risk Behavior

healthier than 1%

11%

Mental Health

healthier than 31%

8%

Disability

healthier than 28%

7%

Healthcare Access

healthier than 34%

5%

Lifting this score

Environmental Hazard

healthier than 93%

14%

Mental Health

healthier than 67%

8%

Climate / Disaster Risk

healthier than 87%

5%

About typical

Chronic Disease Burden

healthier than 53%

21%

Disability

healthier than 40%

7%

Holding it back

Social Need / SDOH

healthier than 7%

16%

Preventive Care

in the bottom 0.00%

13%

Risk Behavior

in the bottom 0.00%

11%

Healthcare Access

healthier than 13%

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 ›

Findings that name this ZIP

One of our published findings lists 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.

  • Above what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 82.0 ± 1.4 years. A median household income of $54,964 predicts 77.7 years — 4.3 years above.

    Ranked #146 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, 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 adults25.4%23.1–27.8
High blood pressure among adults35.0%31.8–38.2
Cancer (non-skin) or melanoma among adults7.3%6.7–8.0
Current asthma among adults10.7%9.7–11.9
Coronary heart disease among adults7.1%6.5–7.8
Chronic obstructive pulmonary disease among adults7.7%6.9–8.5
Depression among adults22.7%20.0–25.7
Diagnosed diabetes among adults12.2%10.9–13.7
High cholesterol among adults who have ever been screened33.4%30.3–36.7
Obesity among adults44.4%38.8–50.0
Stroke among adults3.7%3.4–3.9
All teeth lost among adults aged >=65 years13.9%11.7–16.2
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years10.7%9.0–12.6
Taking medicine to control high blood pressure among adults with high blood pressure74.2%71.5–76.8
Visits to doctor for routine checkup within the past year among adults73.0%69.7–76.2
Cholesterol screening among adults81.9%79.9–83.9
Colorectal cancer screening among adults aged 45–75 years61.4%57.0–65.4
Visited dentist or dental clinic in the past year among adults58.3%55.0–61.4
Mammography use among women aged 50-74 years74.9%68.6–80.1
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults21.2%18.3–24.4
Current cigarette smoking among adults19.7%17.4–22.2
No leisure-time physical activity among adults31.6%27.8–35.6
Short sleep duration among adults36.3%31.3–41.2
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults22.0%19.6–24.4
Frequent mental distress among adults17.0%15.4–18.8
Frequent physical distress among adults14.7%13.2–16.2
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults15.6%14.0–17.3
Any disability among adults34.6%31.0–38.2
Hearing disability among adults7.6%6.9–8.3
Independent living disability among adults9.2%8.3–10.2
Mobility disability among adults14.5%12.9–16.1
Self-care disability among adults4.3%3.9–4.7
Vision disability among adults5.3%4.8–5.8
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults24.0%21.2–27.1
Food insecurity in the past 12 months among adults16.0%13.9–18.5
Received food stamps in the past 12 months among adults17.8%15.4–20.4
Housing insecurity in the past 12 months among adults12.9%11.3–14.8
Lack of reliable transportation in the past 12 months among adults8.7%7.7–9.8
Loneliness among adults31.6%28.1–35.4
Utility services shut-off threat in the past 12 months among adults7.7%6.7–8.8
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WI median (p10–p90)
Poverty rate20.5%10.6% (3.1–25.8%) n=32,3648.5% (3.6–16.0%) n=765
Uninsured 18–6413.9%9.0% (1.5–24.3%) n=32,2866.7% (2.4–14.9%) n=764
No HS diploma (25+)14.9%7.9% (1.8–20.7%) n=32,5055.9% (2.3–12.6%) n=768
Bachelor's or higher (25+)12.4%23.3% (9.2–53.6%) n=32,50523.5% (12.7–44.0%) n=768
Unemployment rate (16+)3.9%3.9% (0.0–9.8%) n=32,2742.6% (0.9–5.6%) n=763
Households without a vehicle11.3%3.9% (0.0–12.5%) n=32,3223.6% (0.8–9.0%) n=764
Broadband subscription76.4%89.3% (75.1–97.1%) n=32,32288.8% (80.0–94.8%) n=764
Housing cost burden (≥30% income)24.4%23.7% (10.6–40.0%) n=32,32221.8% (14.7–29.1%) n=764
Homeownership rate67.6%78.7% (51.7–94.0%) n=32,32281.3% (62.1–91.8%) n=764
Crowded housing (>1 per room)4.4%1.3% (0.0–6.3%) n=32,3221.1% (0.0–3.7%) n=764
Foreign-born population1.2%2.6% (0.0–18.6%) n=32,5531.9% (0.3–6.8%) n=768
Single-parent households47.1%53.6% (37.3–74.1%) n=32,08759.0% (47.7–72.8%) n=762
Population 65+16.9%19.4% (10.8–33.6%) n=32,55320.4% (13.9–32.2%) n=768
Median age38.6 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (36.2–56.1) n=765
Median household income$54,964$72,070 ($46,039–$118,707) n=30,318$75,147 ($57,542–$101,625) n=755
Median home value$208,700$222,200 ($100,300–$579,820) n=30,049$231,900 ($160,140–$367,300) n=755
Median gross rent$738$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 birth82.0 yr ± 0.7378.9 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 0.73 years of 82.0, 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