ZIP code
53129
in Greendale, WisconsinPopulation 14,570
61.59/ 100
Ranked #3,763 of 32,066 US ZIPs (top 11.8%)
Ranked #73 of 763 Wisconsin ZIPs (top 9.6%)
Ranked #38 of 80 Milwaukee-Waukesha, WI ZIPs (top 48%)
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
83.9%
in the top 1.4% 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
4.0%
in the bottom 3.8% nationally
Lower is healthier
ST10thUS4thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Park land
34.5%
in the top 4.0% nationally
Higher is healthier
ST97thUS96thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Industrial-pollution burden
in the top 6.4% nationally
Lower is healthier
ST94thUS94thDefinition & 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 ›Fatal road crashes
2.1 per 100,000 residents per year
in the bottom 7.2% nationally
Lower is healthier
ST5thUS7thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Colon-cancer screening
74.1%
in the top 4.6% nationally
Higher is healthier
ST93rdUS95thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Housing insecurity
7.0%
in the bottom 7.4% nationally
Lower is healthier
ST10thUS7thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Expected annual disaster loss
$0
in the top 7.6% nationally
Lower is healthier
ST86thUS92ndDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Lack of transportation
5.2%
in the bottom 9.9% nationally
Lower is healthier
ST15thUS10thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Cognitive disability
10.6%
in the bottom 7.8% nationally
Lower is healthier
ST8thUS8thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›The read
By its overall health score, Greendale, Wisconsin (ZIP 53129) lands in the top 11.8% healthiest ZIPs nationally (3,763rd) and the top 9.6% of Wisconsin (73rd).
A number of signals point in a favorable direction for this area: modeled mammography lies in the top 1.4% nationally, and utility shutoff resides in the bottom 3.8% nationally. Park land lands in the top 4.0% nationally, and fatal road crashes registers in the bottom 7.2% nationally. Modeled colon screening sits in the top 4.6% nationally, housing insecurity rests in the bottom 7.4% nationally, and transportation is in the bottom 9.9% nationally. Modeled cognitive disability stands in the bottom 7.8% nationally. Working the other way, modeled industrial-pollution burden settles in the top 6.4% nationally, and expected annual loss lies in the top 7.6% nationally.
Weighed against the ZIPs nearby, park land runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Overall, the nearest healthier neighbor is ZIP 53130, 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 66%
21%
Social Need / SDOH
healthier than 86%
16%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 86%
11%
Mental Health
healthier than 76%
8%
Disability
healthier than 79%
7%
Healthcare Access
healthier than 67%
5%
About typical
Climate / Disaster Risk
healthier than 52%
5%
Holding it back
Environmental Hazard
healthier than 34%
14%
Lifting this score
Chronic Disease Burden
healthier than 69%
21%
Social Need / SDOH
healthier than 87%
16%
Preventive Care
healthier than 94%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 84%
8%
Disability
healthier than 80%
7%
Healthcare Access
healthier than 82%
5%
Holding it back
Environmental Hazard
healthier than 25%
14%
Climate / Disaster Risk
healthier than 19%
5%
Lifting this score
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 79%
13%
Risk Behavior
healthier than 94%
11%
Healthcare Access
healthier than 61%
5%
About typical
Social Need / SDOH
healthier than 43%
16%
Mental Health
healthier than 56%
8%
Disability
healthier than 46%
7%
Holding it back
Chronic Disease Burden
healthier than 26%
21%
Climate / Disaster Risk
healthier than 17%
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
53130
Wisconsinshares a border
Score 61.73
Closest healthier
53132
Wisconsinshares a border
Score 62.17
Similar health profile
02043
Massachusetts100% similar profile
Score 68.47
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% | 26.9–31.1 |
| High blood pressure among adults | 35.1% | 32.8–37.5 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.6–11.4 |
| Current asthma among adults | 10.8% | 9.7–12.0 |
| Coronary heart disease among adults | 6.8% | 6.0–7.6 |
| Chronic obstructive pulmonary disease among adults | 6.1% | 5.2–7.0 |
| Depression among adults | 23.1% | 20.9–25.5 |
| Diagnosed diabetes among adults | 11.2% | 10.0–12.5 |
| High cholesterol among adults who have ever been screened | 36.7% | 34.2–39.1 |
| Obesity among adults | 32.2% | 29.2–35.4 |
| Stroke among adults | 3.4% | 3.1–3.8 |
| All teeth lost among adults aged >=65 years | 7.4% | 6.2–8.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.3% | 5.2–7.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.8% | 78.6–82.8 |
| Visits to doctor for routine checkup within the past year among adults | 80.8% | 78.6–82.9 |
| Cholesterol screening among adults | 89.5% | 88.1–90.8 |
| Colorectal cancer screening among adults aged 45–75 years | 74.1% | 71.3–76.7 |
| Visited dentist or dental clinic in the past year among adults | 72.1% | 69.9–74.2 |
| Mammography use among women aged 50-74 years | 83.9% | 80.2–87.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.8% | 14.9–18.9 |
| Current cigarette smoking among adults | 10.5% | 9.0–12.3 |
| No leisure-time physical activity among adults | 21.5% | 19.0–24.3 |
| Short sleep duration among adults | 30.1% | 27.5–32.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.3% | 14.4–18.4 |
| Frequent mental distress among adults | 13.7% | 12.3–15.3 |
| Frequent physical distress among adults | 12.1% | 10.7–13.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.6% | 9.4–12.1 |
| Any disability among adults | 27.0% | 24.4–29.7 |
| Hearing disability among adults | 7.1% | 6.3–8.0 |
| Independent living disability among adults | 7.3% | 6.4–8.4 |
| Mobility disability among adults | 13.1% | 11.5–14.9 |
| Self-care disability among adults | 3.2% | 2.8–3.7 |
| Vision disability among adults | 3.9% | 3.5–4.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.3% | 17.1–21.5 |
| Food insecurity in the past 12 months among adults | 8.7% | 7.3–10.3 |
| Received food stamps in the past 12 months among adults | 8.8% | 7.3–10.4 |
| Housing insecurity in the past 12 months among adults | 7.0% | 5.9–8.1 |
| Lack of reliable transportation in the past 12 months among adults | 5.2% | 4.5–5.9 |
| Loneliness among adults | 30.2% | 27.4–32.9 |
| Utility services shut-off threat in the past 12 months among adults | 4.0% | 3.4–4.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.4% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 4.3% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 3.5% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 46.4% | 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 | 5.5% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 92.0% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 27.2% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 67.2% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.4% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 6.6% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 48.9% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 21.7% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 41.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $95,012 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $311,800 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,252 | $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 | 80.4 yr ± 1.17 | 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 1.17 years of 80.4, 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