ZIP code
53214
in West Allis, WisconsinPopulation 34,480
53.46/ 100
Ranked #11,425 of 32,066 US ZIPs (top 36%)
Ranked #398 of 763 Wisconsin ZIPs (bottom 48%)
Ranked #63 of 80 Milwaukee-Waukesha, WI ZIPs (bottom 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.
Expected annual disaster loss
$1
in the top 1.8% nationally
Lower is healthier
ST98thUS98thDefinition & 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 ›Natural-disaster risk
in the top 3.1% nationally
Lower is healthier
ST98thUS97thDefinition & 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 ›Industrial-pollution burden
in the top 4.8% nationally
Lower is healthier
ST96thUS95thDefinition & 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 ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Transit access
4.6 per 1,000 residents
in the top 5.8% nationally
Higher is healthier
ST95thUS94thDefinition & 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 ›Walkability
120 intersections/sq mi
in the top 8.3% nationally
Higher is healthier
ST97thUS92ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Subsidized affordable housing
259 units
in the top 9.6% nationally
Higher is healthier
ST96thUS90thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Floodplain exposure
0.51%
in the bottom 9.7% nationally
Lower is healthier
ST5thUS10thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Mammography
80.7%
in the top 7.8% nationally
Higher is healthier
ST76thUS92ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Loud transportation noise
1.6%
in the top 10.8% nationally
Lower is healthier
ST93rdUS89thDefinition & 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 ›The read
ZIP 53214, one of several in West Allis, Wisconsin, overall, ranks in the top 36% healthiest ZIPs nationally (11,425th) and the bottom 48% of Wisconsin (398th).
This area's measures are easy to read as a mixed set: distance to an emergency room resides at the national minimum, shared with about 11% of ZIPs. Transit settles in the top 5.8% nationally, walkability is in the top 8.3% nationally, and subsidized affordable housing sits in the top 9.6% nationally. Floodplain exposure lands in the bottom 9.7% nationally, and modeled mammography lies in the top 7.8% nationally. Set against that, modeled expected annual loss stands in the top 1.8% nationally, and disaster risk rests in the top 3.1% nationally. Modeled industrial-pollution burden registers in the top 4.8% nationally, and tree cover resides at the national minimum.
Measured against the nearby ZIPs, expected annual loss runs far higher than the surrounding ZIPs on this measure. Defined simply, 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. ZIP 53005, just across the boundary, comes out 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%
Disability
healthier than 65%
7%
Climate / Disaster Risk
healthier than 86%
5%
Healthcare Access
healthier than 85%
5%
About typical
Social Need / SDOH
healthier than 54%
16%
Preventive Care
healthier than 57%
13%
Risk Behavior
healthier than 41%
11%
Holding it back
Environmental Hazard
healthier than 9%
14%
Mental Health
healthier than 38%
8%
Lifting this score
Chronic Disease Burden
healthier than 82%
21%
Climate / Disaster Risk
healthier than 80%
5%
Healthcare Access
healthier than 91%
5%
About typical
Risk Behavior
healthier than 54%
11%
Disability
healthier than 56%
7%
Holding it back
Social Need / SDOH
healthier than 37%
16%
Environmental Hazard
healthier than 6%
14%
Preventive Care
healthier than 21%
13%
Mental Health
healthier than 10%
8%
Lifting this score
Chronic Disease Burden
healthier than 61%
21%
Climate / Disaster Risk
healthier than 85%
5%
Healthcare Access
healthier than 83%
5%
Holding it back
Social Need / SDOH
healthier than 25%
16%
Environmental Hazard
healthier than 31%
14%
Preventive Care
healthier than 17%
13%
Risk Behavior
healthier than 26%
11%
Mental Health
healthier than 17%
8%
Disability
healthier than 25%
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 75.7 ± 1.2 years. A median household income of $60,962 predicts 78.1 years — 2.5 years below.
Ranked #3,386 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 75.7 ± 1.2 years. The 38 nearest ZIP codes with estimates average 78.7 years — 3.0 years below them.
Ranked #2,410 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 8.8 (bottom 10%); chronic-disease standing 74.3 — 66 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,969 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
53005
Wisconsinshares a border
Score 68.07
Closest healthier
53151
Wisconsinshares a border
Score 64.37
Similar health profile
56721
Minnesota96% similar profile
Score 52.38
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 | 24.5% | 22.8–26.4 |
| High blood pressure among adults | 32.3% | 30.1–34.6 |
| Cancer (non-skin) or melanoma among adults | 7.2% | 6.6–7.8 |
| Current asthma among adults | 11.4% | 10.2–12.6 |
| Coronary heart disease among adults | 5.8% | 5.3–6.4 |
| Chronic obstructive pulmonary disease among adults | 6.3% | 5.7–7.0 |
| Depression among adults | 24.9% | 22.5–27.3 |
| Diagnosed diabetes among adults | 11.2% | 10.1–12.3 |
| High cholesterol among adults who have ever been screened | 32.9% | 30.7–35.1 |
| Obesity among adults | 36.7% | 33.4–40.0 |
| Stroke among adults | 3.2% | 2.9–3.4 |
| All teeth lost among adults aged >=65 years | 11.6% | 9.8–13.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.3% | 9.0–11.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.2% | 72.8–77.5 |
| Visits to doctor for routine checkup within the past year among adults | 76.8% | 74.3–79.2 |
| Cholesterol screening among adults | 85.1% | 83.5–86.7 |
| Colorectal cancer screening among adults aged 45–75 years | 69.4% | 66.4–72.2 |
| Visited dentist or dental clinic in the past year among adults | 64.8% | 62.2–67.3 |
| Mammography use among women aged 50-74 years | 80.7% | 76.4–84.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.0% | 16.7–21.3 |
| Current cigarette smoking among adults | 14.3% | 12.6–16.1 |
| No leisure-time physical activity among adults | 25.2% | 22.8–27.7 |
| Short sleep duration among adults | 34.8% | 32.0–37.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.7% | 18.0–21.6 |
| Frequent mental distress among adults | 16.9% | 15.3–18.6 |
| Frequent physical distress among adults | 13.2% | 11.9–14.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.9% | 12.5–15.4 |
| Any disability among adults | 28.9% | 26.5–31.4 |
| Hearing disability among adults | 5.9% | 5.4–6.6 |
| Independent living disability among adults | 8.8% | 7.9–9.7 |
| Mobility disability among adults | 13.0% | 11.8–14.3 |
| Self-care disability among adults | 3.8% | 3.5–4.2 |
| Vision disability among adults | 4.9% | 4.5–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.3% | 21.0–25.6 |
| Food insecurity in the past 12 months among adults | 15.1% | 13.5–16.8 |
| Received food stamps in the past 12 months among adults | 15.5% | 13.8–17.3 |
| Housing insecurity in the past 12 months among adults | 12.1% | 10.7–13.6 |
| Lack of reliable transportation in the past 12 months among adults | 8.2% | 7.4–9.2 |
| Loneliness among adults | 33.7% | 31.0–36.5 |
| Utility services shut-off threat in the past 12 months among adults | 6.7% | 5.9–7.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.6% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 11.5% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 7.8% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 29.6% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 3.5% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 9.6% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 90.3% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 30.6% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 54.9% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 7.0% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 52.3% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 15.8% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 38.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $60,962 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $188,300 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,009 | $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 | 75.7 yr ± 0.59 | 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 0.59 years of 75.7, 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