ZIP code
53227
in West Allis, WisconsinPopulation 22,885
55.54/ 100
Ranked #8,812 of 32,066 US ZIPs (top 27%)
Ranked #273 of 763 Wisconsin ZIPs (top 36%)
Ranked #58 of 80 Milwaukee-Waukesha, WI ZIPs (bottom 28%)
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.
Dental provider access
1.4 per 1,000 residents
in the top 3.1% 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 ›Loud transportation noise
3.1%
in the top 3.7% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Expected annual disaster loss
$0
in the top 3.8% nationally
Lower is healthier
ST93rdUS96thDefinition & 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 ›Transit access
4.7 per 1,000 residents
in the top 5.7% nationally
Higher is healthier
ST96thUS94thDefinition & source ›
The number of public-transit stops 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 ›Natural-disaster risk
in the top 7.3% nationally
Lower is healthier
ST94thUS93rdDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Mammography
81.5%
in the top 5.2% nationally
Higher is healthier
ST85thUS95thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Physician access
1.8 per 1,000 residents
in the top 8.3% nationally
Higher is healthier
ST98thUS92ndDefinition & source ›
The number of physicians’ 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 ›Homeownership rate
50.1%
in the bottom 9.1% nationally
Higher is healthier
ST4thUS9thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Industrial-pollution burden
in the top 9.4% nationally
Lower is healthier
ST91stUS91stDefinition & 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 ›Park land
13.4%
in the top 9.6% nationally
Higher is healthier
ST92ndUS90thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›The read
ZIP 53227, one of several in West Allis, Wisconsin, by its overall standing, sits in the top 27% healthiest ZIPs nationally (8,812th) and the top 36% of Wisconsin (273rd).
Several readings land clearly in this area's favor and shape the picture: dental providers resides in the top 3.1% nationally. Distance to an emergency room rests at the national minimum, shared with about 11% of ZIPs. Transit lies in the top 5.7% nationally, and modeled mammography sits in the top 5.2% nationally. Physicians settles in the top 8.3% nationally. Set against that, modeled loud transportation noise registers in the top 3.7% nationally, and expected annual loss stands in the top 3.8% nationally. Modeled disaster risk lands in the top 7.3% nationally, and homeownership is in the bottom 9.1% nationally. Modeled industrial-pollution burden resides in the top 9.4% nationally.
Held up against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. Defined in plain terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. The nearest ZIP ranking healthier overall is ZIP 53151, 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 71%
21%
Social Need / SDOH
healthier than 74%
16%
Preventive Care
healthier than 78%
13%
Disability
healthier than 70%
7%
Climate / Disaster Risk
healthier than 76%
5%
Healthcare Access
healthier than 61%
5%
About typical
Risk Behavior
healthier than 59%
11%
Mental Health
healthier than 46%
8%
Holding it back
Environmental Hazard
healthier than 7%
14%
Lifting this score
Chronic Disease Burden
healthier than 76%
21%
Social Need / SDOH
healthier than 67%
16%
Risk Behavior
healthier than 78%
11%
Disability
healthier than 63%
7%
Healthcare Access
healthier than 79%
5%
About typical
Preventive Care
healthier than 58%
13%
Climate / Disaster Risk
healthier than 57%
5%
Holding it back
Environmental Hazard
healthier than 4%
14%
Mental Health
healthier than 24%
8%
Lifting this score
Climate / Disaster Risk
healthier than 61%
5%
About typical
Chronic Disease Burden
healthier than 40%
21%
Risk Behavior
healthier than 47%
11%
Healthcare Access
healthier than 53%
5%
Holding it back
Social Need / SDOH
healthier than 29%
16%
Environmental Hazard
healthier than 19%
14%
Preventive Care
healthier than 31%
13%
Mental Health
healthier than 22%
8%
Disability
healthier than 28%
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 ›
Findings that name this ZIP
3 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 75.9 ± 1.4 years. A median household income of $73,321 predicts 78.9 years — 3.0 years below.
Ranked #4,097 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 75.9 ± 1.4 years. The 38 nearest ZIP codes with estimates average 78.8 years — 2.9 years below them.
Ranked #2,274 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 7.1 (bottom 10%); chronic-disease standing 70.8 — 64 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,768 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
53151
Wisconsinshares a border
Score 64.37
Closest healthier
53220
Wisconsinshares a border
Score 56.16
Similar health profile
15146
Pennsylvania98% similar profile
Score 58.90
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 | 26.5% | 24.7–28.3 |
| High blood pressure among adults | 33.3% | 31.2–35.5 |
| Cancer (non-skin) or melanoma among adults | 8.4% | 7.7–9.1 |
| Current asthma among adults | 11.3% | 10.2–12.5 |
| Coronary heart disease among adults | 6.2% | 5.6–6.8 |
| Chronic obstructive pulmonary disease among adults | 6.4% | 5.7–7.1 |
| Depression among adults | 24.6% | 22.4–26.9 |
| Diagnosed diabetes among adults | 11.1% | 10.0–12.2 |
| High cholesterol among adults who have ever been screened | 34.3% | 32.0–36.5 |
| Obesity among adults | 34.9% | 31.9–38.0 |
| Stroke among adults | 3.3% | 3.0–3.6 |
| All teeth lost among adults aged >=65 years | 9.9% | 8.3–11.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.4% | 7.3–9.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.4% | 75.1–79.6 |
| Visits to doctor for routine checkup within the past year among adults | 78.2% | 75.7–80.4 |
| Cholesterol screening among adults | 86.7% | 85.2–88.2 |
| Colorectal cancer screening among adults aged 45–75 years | 71.1% | 68.1–73.9 |
| Visited dentist or dental clinic in the past year among adults | 67.6% | 65.1–70.0 |
| Mammography use among women aged 50-74 years | 81.5% | 77.4–85.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.3% | 16.2–20.6 |
| Current cigarette smoking among adults | 13.2% | 11.7–14.8 |
| No leisure-time physical activity among adults | 23.9% | 21.7–26.2 |
| Short sleep duration among adults | 33.4% | 30.6–36.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.4% | 16.7–20.2 |
| Frequent mental distress among adults | 16.1% | 14.6–17.6 |
| Frequent physical distress among adults | 12.9% | 11.7–14.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.9% | 11.6–14.2 |
| Any disability among adults | 28.5% | 26.2–30.8 |
| Hearing disability among adults | 6.4% | 5.7–7.1 |
| Independent living disability among adults | 8.4% | 7.5–9.3 |
| Mobility disability among adults | 13.3% | 11.9–14.6 |
| Self-care disability among adults | 3.6% | 3.3–4.0 |
| 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 | 22.4% | 20.2–24.6 |
| Food insecurity in the past 12 months among adults | 12.4% | 11.1–13.9 |
| Received food stamps in the past 12 months among adults | 12.6% | 11.1–14.1 |
| Housing insecurity in the past 12 months among adults | 10.0% | 8.8–11.2 |
| Lack of reliable transportation in the past 12 months among adults | 7.0% | 6.2–7.8 |
| Loneliness among adults | 33.0% | 30.4–35.6 |
| Utility services shut-off threat in the past 12 months among adults | 5.5% | 4.9–6.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.0% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 9.3% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 6.9% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 28.1% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 2.5% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 11.8% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 88.0% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 27.7% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 50.1% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 2.4% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 5.2% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 54.9% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 18.3% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 39.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $73,321 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $225,900 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,051 | $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 | 75.9 yr ± 0.70 | 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 0.70 years of 75.9, 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