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ZipVitals

ZIP code

54985

in Winnebago, WisconsinPopulation 249

52.86/ 100

Ranked #12,290 of 32,066 US ZIPs (top 38%)

Ranked #435 of 763 Wisconsin ZIPs (bottom 43%)

Ranked #9 of 12 Oshkosh-Neenah, WI ZIPs (bottom 25%)

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

26.4%

in the top 0.3% nationally

Lower is healthier

ST99th
US99th
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 ›

Industrial-pollution burden

in the top 0.2% nationally

Lower is healthier

ST99th
US99th
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 ›

Natural-disaster risk

in the bottom 0.2% nationally

Lower is healthier

ST1st
US1st
Definition & source ›

This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.

Full methodology ›

High cholesterol

27%

in the bottom 1.7% nationally

Lower is healthier

ST1st
US2nd
Definition & source ›

The estimated share of adults with high cholesterol, among those who have ever been screened for it.

Full methodology ›

Walkability

200 intersections/sq mi

in the top 2.5% nationally

Higher is healthier

ST99th
US98th
Definition & source ›

The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.

Full methodology ›

Floodplain exposure

0.00%

at the national minimum

Lower is healthier

ST1st
US1st
Definition & source ›

The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.

Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.

Full methodology ›

Tree cover

0.00%

at the national minimum

Higher is healthier

ST1st
US1st
Definition & source ›

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

Full methodology ›

Obesity

45.5%

in the top 3.7% nationally

Lower is healthier

ST98th
US96th
Definition & source ›

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

Full methodology ›

Coronary heart disease

4.3%

in the bottom 4.6% nationally

Lower is healthier

ST2nd
US5th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.

Full methodology ›

Hearing disability

4.8%

in the bottom 5.0% nationally

Lower is healthier

ST2nd
US5th
Definition & source ›

The estimated share of adults who are deaf or have serious difficulty hearing.

Full methodology ›

The read

Winnebago, Wisconsin (ZIP 54985) ranks in the top 38% healthiest ZIPs nationally (12,290th) and the bottom 43% of Wisconsin (435th).

continue reading

Several signals sit on each side of the ledger here: modeled disaster risk lies in the bottom 0.2% nationally, and high cholesterol is in the bottom 1.7% nationally. Walkability registers in the top 2.5% nationally, and floodplain exposure lies at the national minimum. Modeled coronary heart disease is in the bottom 4.6% nationally, and hearing disability registers in the bottom 5.0% nationally. Working the other way, modeled binge drinking lies in the top 0.3% nationally, industrial-pollution burden is in the top 0.2% nationally, and tree cover registers at the national minimum. Modeled obesity lies in the top 3.7% nationally.

Against its neighbors, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. For context, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". The closest ZIP that ranks healthier overall is ZIP 54904, about 1.7 miles away.

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 Oshkosh-Neenah, 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

Chronic Disease Burden

healthier than 93%

21%

Mental Health

healthier than 63%

8%

Disability

healthier than 80%

7%

Climate / Disaster Risk

healthier than 95%

5%

About typical

Social Need / SDOH

healthier than 58%

16%

Healthcare Access

healthier than 52%

5%

Holding it back

Environmental Hazard

healthier than 5%

14%

Preventive Care

healthier than 13%

13%

Risk Behavior

healthier than 3%

11%

Lifting this score

Chronic Disease Burden

healthier than 97%

21%

Disability

healthier than 82%

7%

Climate / Disaster Risk

healthier than 96%

5%

Healthcare Access

healthier than 72%

5%

About typical

Social Need / SDOH

healthier than 42%

16%

Mental Health

healthier than 59%

8%

Holding it back

Environmental Hazard

healthier than 2%

14%

Preventive Care

healthier than 1%

13%

Risk Behavior

in the bottom 0.5%

11%

Lifting this score

Chronic Disease Burden

in the top 0.00%

21%

Mental Health

healthier than 64%

8%

Disability

healthier than 73%

7%

Climate / Disaster Risk

in the top 0.00%

5%

About typical

Healthcare Access

healthier than 55%

5%

Holding it back

Social Need / SDOH

healthier than 9%

16%

Environmental Hazard

in the bottom 0.00%

14%

Preventive Care

in the bottom 0.00%

13%

Risk Behavior

in the bottom 0.00%

11%

“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 adults18.1%15.9–20.2
High blood pressure among adults29.5%26.3–32.8
Cancer (non-skin) or melanoma among adults4.3%3.9–4.8
Current asthma among adults10.1%8.9–11.4
Coronary heart disease among adults4.3%3.7–4.9
Chronic obstructive pulmonary disease among adults4.7%3.8–5.5
Depression among adults20.3%17.5–23.3
Diagnosed diabetes among adults9.3%8.0–10.7
High cholesterol among adults who have ever been screened27.0%24.0–30.1
Obesity among adults45.5%40.1–51.1
Stroke among adults2.4%2.1–2.7
All teeth lost among adults aged >=65 years6.9%5.5–8.5
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years11.0%8.5–14.2
Taking medicine to control high blood pressure among adults with high blood pressure64.8%61.0–68.4
Visits to doctor for routine checkup within the past year among adults72.9%69.0–76.5
Cholesterol screening among adults79.5%76.2–82.5
Colorectal cancer screening among adults aged 45–75 years61.4%56.7–65.9
Visited dentist or dental clinic in the past year among adults59.0%55.5–62.4
Mammography use among women aged 50-74 years79.6%73.1–85.1
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults26.4%22.7–30.4
Current cigarette smoking among adults17.7%14.1–21.4
No leisure-time physical activity among adults27.9%23.4–32.7
Short sleep duration among adults38.6%33.6–43.9
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults18.3%15.2–21.7
Frequent mental distress among adults17.3%14.9–19.5
Frequent physical distress among adults11.3%9.6–13.0
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults14.8%12.3–17.3
Any disability among adults27.4%23.4–31.8
Hearing disability among adults4.8%4.2–5.5
Independent living disability among adults7.5%6.3–8.8
Mobility disability among adults9.9%8.3–11.6
Self-care disability among adults3.3%2.8–3.9
Vision disability among adults4.4%3.7–5.0
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults27.1%23.0–31.5
Food insecurity in the past 12 months among adults16.7%12.9–21.0
Received food stamps in the past 12 months among adults17.1%13.3–21.4
Housing insecurity in the past 12 months among adults16.0%12.9–19.4
Lack of reliable transportation in the past 12 months among adults9.6%7.9–11.6
Loneliness among adults32.1%27.6–36.9
Utility services shut-off threat in the past 12 months among adults8.9%7.3–10.6
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WI median (p10–p90)
Poverty rate10.6% (3.1–25.8%) n=32,3648.5% (3.6–16.0%) n=765
Uninsured 18–649.0% (1.5–24.3%) n=32,2866.7% (2.4–14.9%) n=764
No HS diploma (25+)23.9%7.9% (1.8–20.7%) n=32,5055.9% (2.3–12.6%) n=768
Bachelor's or higher (25+)3.8%23.3% (9.2–53.6%) n=32,50523.5% (12.7–44.0%) n=768
Unemployment rate (16+)3.9% (0.0–9.8%) n=32,2742.6% (0.9–5.6%) n=763
Households without a vehicle3.9% (0.0–12.5%) n=32,3223.6% (0.8–9.0%) n=764
Broadband subscription89.3% (75.1–97.1%) n=32,32288.8% (80.0–94.8%) n=764
Housing cost burden (≥30% income)23.7% (10.6–40.0%) n=32,32221.8% (14.7–29.1%) n=764
Homeownership rate78.7% (51.7–94.0%) n=32,32281.3% (62.1–91.8%) n=764
Crowded housing (>1 per room)1.3% (0.0–6.3%) n=32,3221.1% (0.0–3.7%) n=764
Foreign-born population4.8%2.6% (0.0–18.6%) n=32,5531.9% (0.3–6.8%) n=768
Single-parent households53.6% (37.3–74.1%) n=32,08759.0% (47.7–72.8%) n=762
Population 65+10.0%19.4% (10.8–33.6%) n=32,55320.4% (13.9–32.2%) n=768
Median age40.7 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (36.2–56.1) n=765
Median household income$72,070 ($46,039–$118,707) n=30,318$75,147 ($57,542–$101,625) n=755
Median home value$222,200 ($100,300–$579,820) n=30,049$231,900 ($160,140–$367,300) n=755
Median gross rent$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 birth77.2 yr ± 1.4878.9 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 1.48 years of 77.2, 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