ZIP code
54986
in Winneconne, WisconsinPopulation 5,394
59.28/ 100
Ranked #5,385 of 32,066 US ZIPs (top 17%)
Ranked #118 of 763 Wisconsin ZIPs (top 15%)
Ranked #3 of 12 Oshkosh-Neenah, WI ZIPs (top 25%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
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.
Mammography
84%
in the top 1.3% nationally
Higher is healthier
ST97thUS99thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Utility shut-off threat
3.8%
in the bottom 2.8% nationally
Lower is healthier
ST7thUS3rdDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Loneliness
27%
in the bottom 3.1% nationally
Lower is healthier
ST5thUS3rdDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Colon-cancer screening
75.9%
in the top 1.9% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Binge drinking
20.3%
in the top 5.2% nationally
Lower is healthier
ST82ndUS95thDefinition & 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 ›Lack of transportation
4.8%
in the bottom 5.9% nationally
Lower is healthier
ST8thUS6thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Food insecurity
7.7%
in the bottom 6.2% nationally
Lower is healthier
ST7thUS6thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Fiber broadband
97.7%
in the top 7.2% nationally
Higher is healthier
ST94thUS93rdDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Grocery access
0.19 per 1,000 residents
in the top 7.7% nationally
Higher is healthier
ST91stUS92ndDefinition & 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 ›Housing insecurity
7.1%
in the bottom 8.1% nationally
Lower is healthier
ST12thUS8thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›The read
By its overall health score, Winneconne, Wisconsin (ZIP 54986) lands in the top 17% healthiest ZIPs nationally (5,385th) and the top 15% of Wisconsin (118th).
A number of signals point in a favorable direction for this area: modeled mammography settles in the top 1.3% nationally, and utility shutoff lies in the bottom 2.8% nationally. Modeled loneliness resides in the bottom 3.1% nationally, and colon screening lands in the top 1.9% nationally. Modeled transportation registers in the bottom 5.9% nationally, modeled food insecurity sits in the bottom 6.2% nationally, and fiber broadband rests in the top 7.2% nationally. Grocery is in the top 7.7% nationally, and modeled housing insecurity stands in the bottom 8.1% nationally. Working the other way, modeled binge drinking settles in the top 5.2% nationally.
Weighed against the ZIPs nearby, park land runs far higher than the surrounding ZIPs on this measure. Overall, the nearest healthier neighbor is ZIP 54904, 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 Oshkosh-Neenah, WI metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 90%
16%
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 96%
13%
Mental Health
healthier than 78%
8%
Disability
healthier than 79%
7%
About typical
Chronic Disease Burden
healthier than 57%
21%
Risk Behavior
healthier than 55%
11%
Holding it back
Climate / Disaster Risk
healthier than 39%
5%
Healthcare Access
healthier than 25%
5%
Lifting this score
Social Need / SDOH
healthier than 91%
16%
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 94%
13%
Risk Behavior
healthier than 73%
11%
Mental Health
healthier than 86%
8%
Disability
healthier than 80%
7%
About typical
Chronic Disease Burden
healthier than 51%
21%
Holding it back
Climate / Disaster Risk
healthier than 9%
5%
Healthcare Access
healthier than 30%
5%
Lifting this score
Social Need / SDOH
healthier than 91%
16%
Environmental Hazard
healthier than 91%
14%
Preventive Care
in the top 0.00%
13%
Risk Behavior
healthier than 91%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 64%
7%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Climate / Disaster Risk
healthier than 18%
5%
Healthcare Access
healthier than 9%
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.
Nearby
54904
Wisconsinshares a border
Score 59.72
Closest healthier
54927
Wisconsinshares a border
Score 59.38
Similar health profile
52756
Iowa98% similar profile
Score 58.46
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
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 31.2% | 28.3–34.3 |
| High blood pressure among adults | 35.3% | 31.9–38.8 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.6–11.6 |
| Current asthma among adults | 10.8% | 9.6–12.1 |
| Coronary heart disease among adults | 6.9% | 6.1–7.6 |
| Chronic obstructive pulmonary disease among adults | 6.4% | 5.6–7.3 |
| Depression among adults | 22.1% | 19.2–25.3 |
| Diagnosed diabetes among adults | 11.7% | 10.2–13.3 |
| High cholesterol among adults who have ever been screened | 37.5% | 33.9–41.1 |
| Obesity among adults | 39.1% | 34.0–44.5 |
| Stroke among adults | 3.4% | 3.0–3.7 |
| All teeth lost among adults aged >=65 years | 7.6% | 6.1–9.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.7% | 4.7–7.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.7% | 77.9–83.3 |
| Visits to doctor for routine checkup within the past year among adults | 80.7% | 77.9–83.4 |
| Cholesterol screening among adults | 88.9% | 87.4–90.4 |
| Colorectal cancer screening among adults aged 45–75 years | 75.9% | 72.1–79.5 |
| Visited dentist or dental clinic in the past year among adults | 70.6% | 67.7–73.5 |
| Mammography use among women aged 50-74 years | 84.0% | 78.8–88.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.3% | 17.4–23.5 |
| Current cigarette smoking among adults | 12.8% | 10.8–14.9 |
| No leisure-time physical activity among adults | 25.6% | 21.9–29.4 |
| Short sleep duration among adults | 30.5% | 26.0–35.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.7% | 13.5–17.9 |
| Frequent mental distress among adults | 14.1% | 12.4–15.9 |
| Frequent physical distress among adults | 12.4% | 10.9–14.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.2% | 9.8–12.8 |
| Any disability among adults | 27.5% | 24.1–31.1 |
| Hearing disability among adults | 7.2% | 6.4–8.1 |
| Independent living disability among adults | 6.9% | 6.0–7.7 |
| Mobility disability among adults | 13.3% | 11.6–15.2 |
| Self-care disability among adults | 3.2% | 2.8–3.5 |
| Vision disability among adults | 3.7% | 3.3–4.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.6% | 16.0–21.6 |
| Food insecurity in the past 12 months among adults | 7.7% | 6.3–9.3 |
| Received food stamps in the past 12 months among adults | 7.9% | 6.4–9.4 |
| Housing insecurity in the past 12 months among adults | 7.1% | 5.9–8.4 |
| Lack of reliable transportation in the past 12 months among adults | 4.8% | 4.1–5.6 |
| Loneliness among adults | 27.0% | 23.4–31.0 |
| Utility services shut-off threat in the past 12 months among adults | 3.8% | 3.2–4.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.1% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 4.2% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 3.4% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 31.3% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.4% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 3.3% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 87.6% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 15.3% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 84.3% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.3% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 65.9% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 25.0% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 50.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $93,189 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $300,900 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $867 | $1,021 ($677–$1,912) n=25,670 | $914 ($696–$1,261) n=706 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 81.7 yr ± 1.20 | 78.9 yr (74.7–82.8) n=31,308 | 80.4 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 1.20 years of 81.7, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾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