ZIP code
54165
in Seymour, WisconsinPopulation 7,786
54.75/ 100
Ranked #9,762 of 32,066 US ZIPs (top 30%)
Ranked #312 of 763 Wisconsin ZIPs (top 41%)
Ranked #16 of 23 Appleton, WI ZIPs (bottom 30%)
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.
Binge drinking
21.1%
in the top 3.1% nationally
Lower is healthier
ST92ndUS97thDefinition & 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 ›The read
By the composite measure, Seymour, Wisconsin (ZIP 54165) sits in the top 30% healthiest ZIPs nationally (9,762nd) and the top 41% of Wisconsin (312th).
What works most in this area's favor shows up clearly across the measures: distance to a nursing home lies at the national minimum, shared with about 27% of ZIPs. Modeled mammography settles in the top 11.7% nationally. Outer-floodplain exposure stands at the national minimum, shared with about 36% of ZIPs. Modeled utility shutoff is in the bottom 18% nationally, and humid heat rests in the bottom 19% nationally. Modeled tooth loss sits in the bottom 17% nationally. Working the other way, modeled binge drinking registers in the top 3.1% nationally, and fine-particle lands in the top 14.2% nationally. Modeled expected annual loss resides in the top 20% nationally, and walkability lies in the bottom 21% nationally.
Compared with the ZIPs that surround it, park land runs far lower than the surrounding ZIPs on this measure. In plain language, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". ZIP 54106, just across the boundary, ranks healthier overall.
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 Appleton, WI metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 62%
21%
Social Need / SDOH
healthier than 67%
16%
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 76%
13%
Disability
healthier than 67%
7%
Climate / Disaster Risk
healthier than 88%
5%
About typical
Mental Health
healthier than 44%
8%
Healthcare Access
healthier than 48%
5%
Holding it back
Risk Behavior
healthier than 29%
11%
Lifting this score
Chronic Disease Burden
healthier than 62%
21%
Environmental Hazard
healthier than 63%
14%
Climate / Disaster Risk
healthier than 84%
5%
Healthcare Access
healthier than 66%
5%
About typical
Social Need / SDOH
healthier than 54%
16%
Preventive Care
healthier than 54%
13%
Disability
healthier than 59%
7%
Holding it back
Risk Behavior
healthier than 29%
11%
Mental Health
healthier than 19%
8%
Lifting this score
Environmental Hazard
healthier than 95%
14%
Climate / Disaster Risk
healthier than 86%
5%
Healthcare Access
healthier than 73%
5%
About typical
Preventive Care
healthier than 55%
13%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
healthier than 27%
16%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 14%
8%
Disability
healthier than 23%
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.
Nearby
54106
Wisconsinshares a border
Score 55.18
Closest healthier
54115
Wisconsinshares a border
Score 60.44
Similar health profile
54770
Wisconsin98% similar profile
Score 54.36
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 | 29.0% | 26.3–31.7 |
| High blood pressure among adults | 35.1% | 31.8–38.3 |
| Cancer (non-skin) or melanoma among adults | 8.7% | 7.9–9.5 |
| Current asthma among adults | 11.3% | 10.0–12.6 |
| Coronary heart disease among adults | 6.6% | 5.9–7.3 |
| Chronic obstructive pulmonary disease among adults | 6.9% | 6.0–7.8 |
| Depression among adults | 24.6% | 21.6–27.8 |
| Diagnosed diabetes among adults | 11.2% | 9.8–12.7 |
| High cholesterol among adults who have ever been screened | 36.0% | 32.7–39.3 |
| Obesity among adults | 38.2% | 33.3–43.1 |
| Stroke among adults | 3.4% | 3.1–3.7 |
| All teeth lost among adults aged >=65 years | 8.8% | 7.2–10.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.2% | 6.0–8.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.8% | 75.0–80.3 |
| Visits to doctor for routine checkup within the past year among adults | 78.9% | 76.0–81.7 |
| Cholesterol screening among adults | 86.1% | 84.3–87.8 |
| Colorectal cancer screening among adults aged 45–75 years | 70.0% | 65.9–73.8 |
| Visited dentist or dental clinic in the past year among adults | 67.6% | 64.5–70.5 |
| Mammography use among women aged 50-74 years | 79.9% | 73.9–84.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.1% | 18.2–24.2 |
| Current cigarette smoking among adults | 14.7% | 12.5–16.8 |
| No leisure-time physical activity among adults | 27.5% | 23.8–31.2 |
| Short sleep duration among adults | 32.7% | 28.2–37.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.0% | 15.8–20.3 |
| Frequent mental distress among adults | 16.4% | 14.6–18.3 |
| Frequent physical distress among adults | 13.7% | 12.1–15.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.4% | 11.8–15.0 |
| Any disability among adults | 29.3% | 25.9–32.8 |
| Hearing disability among adults | 6.9% | 6.2–7.8 |
| Independent living disability among adults | 8.1% | 7.1–9.0 |
| Mobility disability among adults | 13.6% | 11.9–15.5 |
| Self-care disability among adults | 3.6% | 3.2–4.0 |
| Vision disability among adults | 4.4% | 4.0–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.8% | 17.1–22.5 |
| Food insecurity in the past 12 months among adults | 11.5% | 9.6–13.4 |
| Received food stamps in the past 12 months among adults | 11.8% | 9.9–13.8 |
| Housing insecurity in the past 12 months among adults | 9.2% | 7.8–10.7 |
| Lack of reliable transportation in the past 12 months among adults | 6.5% | 5.6–7.3 |
| Loneliness among adults | 31.6% | 27.9–35.5 |
| Utility services shut-off threat in the past 12 months among adults | 5.3% | 4.5–6.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.7% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 2.8% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 7.3% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 25.2% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 2.1% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 2.3% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 89.7% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 21.7% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 78.4% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 0.7% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 66.0% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 17.7% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 39.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $87,048 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $247,000 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $914 | $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 | 80.7 yr ± 1.16 | 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 1.16 years of 80.7, 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