Skip to main content
ZipVitals

ZIP code

53216

in Milwaukee, WisconsinPopulation 30,345

36.88/ 100

Ranked #28,592 of 32,066 US ZIPs (bottom 10.9%)

Ranked #756 of 763 Wisconsin ZIPs (bottom 1.0%)

Ranked #74 of 80 Milwaukee-Waukesha, WI ZIPs (bottom 7.5%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Self-care disability

8.5%

in the top 2.0% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Child-care access

1.5 per 1,000 residents

in the top 0.8% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

The number of child day-care services 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 ›

Independent-living disability

14.9%

in the top 2.7% nationally

Lower is healthier

ST99th
US97th
Definition & source ›

The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.

Full methodology ›

Short sleep

46.1%

in the top 2.0% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Obesity

49%

in the top 1.0% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

Diabetes

20.2%

in the top 3.5% nationally

Lower is healthier

ST99th
US97th
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

Vision disability

10.1%

in the top 4.7% nationally

Lower is healthier

ST99th
US95th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Expected annual disaster loss

$0

in the top 2.2% nationally

Lower is healthier

ST98th
US98th
Definition & 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 ›

Housing insecurity

27.1%

in the top 2.9% nationally

Lower is healthier

ST99th
US97th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Food insecurity

36.4%

in the top 3.0% nationally

Lower is healthier

ST99th
US97th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

The read

On balance, and by the composite measure, ZIP 53216, one of several in Milwaukee, Wisconsin ranks in the bottom 10.9% nationally (28,592nd) and the bottom 1.0% of Wisconsin (756th).

continue reading

The measures that press hardest set the tone here: modeled self-care disability rests in the top 2.0% nationally, and independent living disability is in the top 2.7% nationally. Modeled short sleep stands in the top 2.0% nationally, and obesity settles in the top 1.0% nationally. Modeled diabetes lies in the top 3.5% nationally, vision disability resides in the top 4.7% nationally, and expected annual loss lands in the top 2.2% nationally. Modeled housing insecurity registers in the top 2.9% nationally, and food insecurity sits in the top 3.0% nationally. On the stronger side, childcare rests in the top 0.8% nationally.

Compared with the ZIPs it borders, park land runs far lower than the surrounding ZIPs on this measure. In plainer terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. For a healthier nearby ZIP overall, look to ZIP 53209, 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.

Compare within

Lifting this score

Climate / Disaster Risk

healthier than 95%

5%

Healthcare Access

healthier than 78%

5%

About typical

Preventive Care

healthier than 58%

13%

Holding it back

Chronic Disease Burden

healthier than 13%

21%

Social Need / SDOH

healthier than 2%

16%

Environmental Hazard

healthier than 13%

14%

Risk Behavior

healthier than 5%

11%

Mental Health

healthier than 32%

8%

Disability

healthier than 7%

7%

Lifting this score

Climate / Disaster Risk

healthier than 96%

5%

Healthcare Access

healthier than 87%

5%

Holding it back

Chronic Disease Burden

healthier than 3%

21%

Social Need / SDOH

in the bottom 0.8%

16%

Environmental Hazard

healthier than 9%

14%

Preventive Care

healthier than 23%

13%

Risk Behavior

healthier than 1%

11%

Mental Health

healthier than 6%

8%

Disability

in the bottom 0.6%

7%

Lifting this score

Climate / Disaster Risk

healthier than 99%

5%

Healthcare Access

healthier than 74%

5%

About typical

Environmental Hazard

healthier than 47%

14%

Holding it back

Chronic Disease Burden

healthier than 4%

21%

Social Need / SDOH

healthier than 6%

16%

Preventive Care

healthier than 19%

13%

Risk Behavior

healthier than 8%

11%

Mental Health

healthier than 14%

8%

Disability

healthier than 6%

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

2 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 75.0 ± 1.4 years. A median household income of $46,752 predicts 77.1 years — 2.1 years below.

    Ranked #2,750 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 75.0 ± 1.4 years. The 38 nearest ZIP codes with estimates average 79.0 years — 4.0 years below them.

    Ranked #2,999 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.

Nearby & similar ZIPs

Editorially selected — see how this ZIP compares to nearby and similar places.

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
MeasureCrude prevalence95% CI
Arthritis among adults29.4%27.4–31.5
High blood pressure among adults46.8%44.4–49.1
Cancer (non-skin) or melanoma among adults5.0%4.5–5.4
Current asthma among adults14.7%13.3–16.2
Coronary heart disease among adults7.4%6.7–8.1
Chronic obstructive pulmonary disease among adults9.2%8.3–10.1
Depression among adults21.9%19.8–24.2
Diagnosed diabetes among adults20.2%18.5–21.9
High cholesterol among adults who have ever been screened33.6%31.3–35.8
Obesity among adults49.0%45.6–52.4
Stroke among adults5.9%5.5–6.3
All teeth lost among adults aged >=65 years21.8%18.9–24.9
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years12.1%10.4–13.8
Taking medicine to control high blood pressure among adults with high blood pressure80.2%78.2–82.1
Visits to doctor for routine checkup within the past year among adults82.4%80.3–84.3
Cholesterol screening among adults85.1%83.5–86.7
Colorectal cancer screening among adults aged 45–75 years65.6%62.4–68.6
Visited dentist or dental clinic in the past year among adults50.6%47.9–53.3
Mammography use among women aged 50-74 years82.6%78.8–85.9
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults12.3%10.7–13.9
Current cigarette smoking among adults20.4%18.4–22.5
No leisure-time physical activity among adults37.8%34.9–40.7
Short sleep duration among adults46.1%42.9–49.3
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults32.2%29.7–34.5
Frequent mental distress among adults19.8%17.9–21.7
Frequent physical distress among adults16.9%15.4–18.4
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults18.1%16.4–19.7
Any disability among adults38.3%35.6–41.0
Hearing disability among adults5.2%4.7–5.8
Independent living disability among adults14.9%13.6–16.2
Mobility disability among adults22.7%20.9–24.5
Self-care disability among adults8.5%7.9–9.2
Vision disability among adults10.1%9.3–10.9
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults32.6%29.9–35.4
Food insecurity in the past 12 months among adults36.4%33.7–39.3
Received food stamps in the past 12 months among adults43.1%40.4–46.1
Housing insecurity in the past 12 months among adults27.1%24.7–29.7
Lack of reliable transportation in the past 12 months among adults18.2%16.5–19.9
Loneliness among adults39.6%36.8–42.4
Utility services shut-off threat in the past 12 months among adults18.4%16.6–20.4
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WI median (p10–p90)
Poverty rate22.0%10.6% (3.1–25.8%) n=32,3648.5% (3.6–16.0%) n=765
Uninsured 18–648.0%9.0% (1.5–24.3%) n=32,2866.7% (2.4–14.9%) n=764
No HS diploma (25+)14.3%7.9% (1.8–20.7%) n=32,5055.9% (2.3–12.6%) n=768
Bachelor's or higher (25+)17.4%23.3% (9.2–53.6%) n=32,50523.5% (12.7–44.0%) n=768
Unemployment rate (16+)8.0%3.9% (0.0–9.8%) n=32,2742.6% (0.9–5.6%) n=763
Households without a vehicle17.7%3.9% (0.0–12.5%) n=32,3223.6% (0.8–9.0%) n=764
Broadband subscription86.7%89.3% (75.1–97.1%) n=32,32288.8% (80.0–94.8%) n=764
Housing cost burden (≥30% income)43.0%23.7% (10.6–40.0%) n=32,32221.8% (14.7–29.1%) n=764
Homeownership rate47.3%78.7% (51.7–94.0%) n=32,32281.3% (62.1–91.8%) n=764
Crowded housing (>1 per room)2.8%1.3% (0.0–6.3%) n=32,3221.1% (0.0–3.7%) n=764
Foreign-born population4.1%2.6% (0.0–18.6%) n=32,5531.9% (0.3–6.8%) n=768
Single-parent households26.8%53.6% (37.3–74.1%) n=32,08759.0% (47.7–72.8%) n=762
Population 65+12.9%19.4% (10.8–33.6%) n=32,55320.4% (13.9–32.2%) n=768
Median age33.2 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (36.2–56.1) n=765
Median household income$46,752$72,070 ($46,039–$118,707) n=30,318$75,147 ($57,542–$101,625) n=755
Median home value$143,400$222,200 ($100,300–$579,820) n=30,049$231,900 ($160,140–$367,300) n=755
Median gross rent$990$1,021 ($677–$1,912) n=25,670$914 ($696–$1,261) n=706
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)WI median (p10–p90)
Life expectancy at birth75.0 yr ± 0.7178.9 yr (74.7–82.8) n=31,30880.4 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 0.71 years of 75.0, and it’s very unlikely to be off by more than twice that.

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