ZIP code
53069
in Okauchee, WisconsinPopulation 671
63.67/ 100
Ranked #2,627 of 32,066 US ZIPs (top 8.2%)
Ranked #35 of 763 Wisconsin ZIPs (top 4.6%)
Ranked #17 of 80 Milwaukee-Waukesha, WI ZIPs (top 21%)
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
85.7%
in the top 0.4% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Utility shut-off threat
3.5%
in the bottom 1.6% nationally
Lower is healthier
ST4thUS2ndDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Binge drinking
21.5%
in the top 2.4% nationally
Lower is healthier
ST95thUS98thDefinition & 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 ›Civic-institution access
1.4 per 1,000 residents
in the top 2.3% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of civic and social organizations 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.
Full methodology ›Colon-cancer screening
77.2%
in the top 1.0% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Housing insecurity
6.0%
in the bottom 2.6% nationally
Lower is healthier
ST3rdUS3rdDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Lack of transportation
4.3%
in the bottom 2.6% nationally
Lower is healthier
ST3rdUS3rdDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Food insecurity
6.7%
in the bottom 2.9% nationally
Lower is healthier
ST2ndUS3rdDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Dental provider access
1.4 per 1,000 residents
in the top 3.2% nationally
Higher is healthier
ST98thUS97thDefinition & source ›
The number of dental offices located 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.
Full methodology ›The read
By the composite health measure, Okauchee, Wisconsin (ZIP 53069) ranks in the top 8.2% healthiest ZIPs nationally (2,627th) and the top 4.6% of Wisconsin (35th).
The picture here is genuinely mixed, with readings on both sides: modeled mammography resides in the top 0.4% nationally, and utility shutoff registers in the bottom 1.6% nationally. Civic rests in the top 2.3% nationally, and modeled colon screening stands in the top 1.0% nationally. Modeled housing insecurity lies in the bottom 2.6% nationally, modeled transportation lands in the bottom 2.6% nationally, and home broadband subscription sits at the national maximum. Modeled food insecurity is in the bottom 2.9% nationally, and dental providers settles in the top 3.2% nationally. On the other side, modeled binge drinking resides in the top 2.4% nationally.
Read against the ZIPs closest to it, park land runs far higher than the surrounding ZIPs on this measure. Close by, ZIP 53058, 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 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 74%
21%
Social Need / SDOH
healthier than 97%
16%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 71%
11%
Mental Health
healthier than 89%
8%
Disability
healthier than 89%
7%
About typical
Environmental Hazard
healthier than 54%
14%
Holding it back
Climate / Disaster Risk
healthier than 20%
5%
Healthcare Access
healthier than 20%
5%
Lifting this score
Chronic Disease Burden
healthier than 81%
21%
Social Need / SDOH
healthier than 99%
16%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 89%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 93%
7%
About typical
Environmental Hazard
healthier than 49%
14%
Holding it back
Climate / Disaster Risk
healthier than 2%
5%
Healthcare Access
healthier than 21%
5%
Lifting this score
Social Need / SDOH
healthier than 92%
16%
Environmental Hazard
healthier than 76%
14%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 74%
11%
Mental Health
healthier than 79%
8%
Disability
healthier than 74%
7%
About typical
Chronic Disease Burden
healthier than 57%
21%
Holding it back
Climate / Disaster Risk
in the bottom 0.00%
5%
Healthcare Access
in the bottom 0.00%
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
53058
Wisconsinshares a border
Score 66.34
Closest healthier
53029
Wisconsinabout 1.3 mi away
Score 64.18
Similar health profile
50647
Iowa98% similar profile
Score 62.00
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 | 27.9% | 25.2–30.9 |
| High blood pressure among adults | 34.7% | 31.6–38.1 |
| Cancer (non-skin) or melanoma among adults | 10.1% | 9.0–11.2 |
| Current asthma among adults | 10.4% | 9.3–11.7 |
| Coronary heart disease among adults | 6.2% | 5.4–7.1 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.3–6.6 |
| Depression among adults | 20.6% | 18.1–23.6 |
| Diagnosed diabetes among adults | 10.6% | 9.1–12.3 |
| High cholesterol among adults who have ever been screened | 36.8% | 33.7–40.0 |
| Obesity among adults | 34.3% | 30.1–39.0 |
| Stroke among adults | 3.0% | 2.6–3.4 |
| All teeth lost among adults aged >=65 years | 4.0% | 3.3–5.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.7% | 3.5–6.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.0% | 76.2–81.7 |
| Visits to doctor for routine checkup within the past year among adults | 79.8% | 77.1–82.4 |
| Cholesterol screening among adults | 89.6% | 87.9–91.2 |
| Colorectal cancer screening among adults aged 45–75 years | 77.2% | 74.4–80.7 |
| Visited dentist or dental clinic in the past year among adults | 77.1% | 75.1–79.8 |
| Mammography use among women aged 50-74 years | 85.7% | 82.1–89.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.5% | 18.6–24.6 |
| Current cigarette smoking among adults | 10.9% | 8.2–13.9 |
| No leisure-time physical activity among adults | 20.2% | 16.4–24.4 |
| Short sleep duration among adults | 29.3% | 26.3–33.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.6% | 11.2–16.4 |
| Frequent mental distress among adults | 13.0% | 11.2–15.0 |
| Frequent physical distress among adults | 11.9% | 10.1–13.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.3% | 8.6–12.1 |
| Any disability among adults | 25.9% | 22.2–29.9 |
| Hearing disability among adults | 6.4% | 5.6–7.3 |
| Independent living disability among adults | 6.0% | 5.0–7.1 |
| Mobility disability among adults | 11.5% | 9.4–13.8 |
| Self-care disability among adults | 2.8% | 2.3–3.3 |
| Vision disability among adults | 3.2% | 2.7–3.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 15.9% | 13.2–18.7 |
| Food insecurity in the past 12 months among adults | 6.7% | 5.0–8.5 |
| Received food stamps in the past 12 months among adults | 6.2% | 4.5–8.1 |
| Housing insecurity in the past 12 months among adults | 6.0% | 4.7–7.5 |
| Lack of reliable transportation in the past 12 months among adults | 4.3% | 3.5–5.1 |
| Loneliness among adults | 28.1% | 24.3–31.8 |
| Utility services shut-off threat in the past 12 months among adults | 3.5% | 2.8–4.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.6% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 5.4% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 1.4% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 48.5% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 6.1% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 9.7% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 89.2% | 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 | 1.0% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 96.3% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 35.8% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 62.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $130,722 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $344,000 | $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
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 81.0 yr ± 1.60 | 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 1.60 years of 81.0, 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