ZIP code
53086
in Slinger, WisconsinPopulation 9,426
62.18/ 100
Ranked #3,406 of 32,066 US ZIPs (top 10.7%)
Ranked #59 of 763 Wisconsin ZIPs (top 7.8%)
Ranked #30 of 80 Milwaukee-Waukesha, WI ZIPs (top 38%)
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
21.9%
in the top 1.9% nationally
Lower is healthier
ST97thUS98thDefinition & 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 ›Utility shut-off threat
4.1%
in the bottom 4.4% nationally
Lower is healthier
ST12thUS4thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Mammography
82.5%
in the top 3.1% nationally
Higher is healthier
ST91stUS97thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Lack of transportation
5.0%
in the bottom 7.6% nationally
Lower is healthier
ST11thUS8thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Tooth loss
5.3%
in the bottom 2.8% nationally
Lower is healthier
ST1stUS3rdDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Food insecurity
8.2%
in the bottom 8.3% nationally
Lower is healthier
ST10thUS8thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Poverty rate
2.6%
in the bottom 8.4% nationally
Lower is healthier
ST4thUS8thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Housing insecurity
7.3%
in the bottom 9.5% nationally
Lower is healthier
ST14thUS9thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Energy-cost burden
1.8%
in the bottom 9.0% nationally
Lower is healthier
ST4thUS9thDefinition & 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 ›Fair or poor health
13.9%
in the bottom 9.1% nationally
Lower is healthier
ST7thUS9thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›The read
On balance, and by the composite measure, Slinger, Wisconsin (ZIP 53086) ranks in the top 10.7% healthiest ZIPs nationally (3,406th) and the top 7.8% of Wisconsin (59th).
The measures split the difference for this area: modeled utility shutoff rests in the bottom 4.4% nationally, and mammography is in the top 3.1% nationally. Modeled transportation stands in the bottom 7.6% nationally, and tooth loss settles in the bottom 2.8% nationally. Modeled food insecurity lies in the bottom 8.3% nationally, poverty resides in the bottom 8.4% nationally, and modeled housing insecurity lands in the bottom 9.5% nationally. Modeled energy burden registers in the bottom 9.0% nationally, and fair or poor health sits in the bottom 9.1% nationally. Against that, modeled binge drinking rests in the top 1.9% nationally.
Compared with the ZIPs it borders, park land runs far higher than the surrounding ZIPs on this measure. In plainer terms, energy burden is the share of household income that goes to home energy bills. For a healthier nearby ZIP overall, look to ZIP 53076, 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 Milwaukee-Waukesha, 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 83%
21%
Social Need / SDOH
healthier than 91%
16%
Environmental Hazard
healthier than 61%
14%
Preventive Care
healthier than 88%
13%
Mental Health
healthier than 65%
8%
Disability
healthier than 90%
7%
Climate / Disaster Risk
healthier than 69%
5%
About typical
Risk Behavior
healthier than 47%
11%
Healthcare Access
healthier than 51%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Social Need / SDOH
healthier than 92%
16%
Environmental Hazard
healthier than 60%
14%
Preventive Care
healthier than 81%
13%
Risk Behavior
healthier than 62%
11%
Mental Health
healthier than 64%
8%
Disability
healthier than 94%
7%
Healthcare Access
healthier than 71%
5%
Holding it back
Climate / Disaster Risk
healthier than 39%
5%
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Environmental Hazard
healthier than 83%
14%
Disability
healthier than 81%
7%
About typical
Social Need / SDOH
healthier than 60%
16%
Preventive Care
healthier than 46%
13%
Mental Health
healthier than 43%
8%
Climate / Disaster Risk
healthier than 44%
5%
Holding it back
Risk Behavior
healthier than 31%
11%
Healthcare Access
healthier than 39%
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
53027
Wisconsinshares a border
Score 57.51
Closest healthier
53076
Wisconsinshares a border
Score 63.19
Similar health profile
14425
New York99% similar profile
Score 62.84
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 | 24.0% | 21.4–26.9 |
| High blood pressure among adults | 30.1% | 26.8–33.5 |
| Cancer (non-skin) or melanoma among adults | 8.6% | 7.8–9.5 |
| Current asthma among adults | 10.7% | 9.5–12.0 |
| Coronary heart disease among adults | 5.5% | 4.9–6.1 |
| Chronic obstructive pulmonary disease among adults | 5.2% | 4.5–5.9 |
| Depression among adults | 23.1% | 20.0–26.4 |
| Diagnosed diabetes among adults | 9.2% | 8.0–10.6 |
| High cholesterol among adults who have ever been screened | 34.1% | 30.6–37.7 |
| Obesity among adults | 36.3% | 30.8–42.1 |
| Stroke among adults | 2.7% | 2.5–3.0 |
| All teeth lost among adults aged >=65 years | 5.3% | 4.2–6.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.7% | 4.8–6.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.1% | 74.0–79.9 |
| Visits to doctor for routine checkup within the past year among adults | 78.2% | 74.8–81.2 |
| Cholesterol screening among adults | 87.9% | 86.3–89.4 |
| Colorectal cancer screening among adults aged 45–75 years | 71.3% | 66.9–75.3 |
| Visited dentist or dental clinic in the past year among adults | 72.4% | 69.3–75.1 |
| Mammography use among women aged 50-74 years | 82.5% | 76.7–87.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.9% | 18.7–25.4 |
| Current cigarette smoking among adults | 12.0% | 10.2–14.0 |
| No leisure-time physical activity among adults | 20.9% | 17.7–24.6 |
| Short sleep duration among adults | 33.8% | 28.6–39.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.9% | 12.0–15.9 |
| Frequent mental distress among adults | 15.1% | 13.4–17.0 |
| Frequent physical distress among adults | 11.4% | 10.1–12.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.3% | 9.9–12.8 |
| Any disability among adults | 23.9% | 20.7–27.5 |
| Hearing disability among adults | 5.8% | 5.2–6.6 |
| Independent living disability among adults | 6.3% | 5.5–7.1 |
| Mobility disability among adults | 10.3% | 8.9–11.9 |
| Self-care disability among adults | 2.7% | 2.4–3.0 |
| Vision disability among adults | 3.2% | 2.9–3.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.8% | 16.4–21.6 |
| Food insecurity in the past 12 months among adults | 8.2% | 6.8–9.7 |
| Received food stamps in the past 12 months among adults | 7.9% | 6.6–9.4 |
| Housing insecurity in the past 12 months among adults | 7.3% | 6.2–8.5 |
| Lack of reliable transportation in the past 12 months among adults | 5.0% | 4.3–5.7 |
| Loneliness among adults | 28.9% | 25.3–32.8 |
| Utility services shut-off threat in the past 12 months among adults | 4.1% | 3.5–4.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.6% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 5.3% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 2.8% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 37.0% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 4.8% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 2.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 90.8% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 20.7% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 81.7% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.6% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.5% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 60.0% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 21.1% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 44.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $103,426 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $387,100 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,078 | $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 | 79.6 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 79.6, 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