ZIP code
53004
in Belgium, WisconsinPopulation 3,475
60.60/ 100
Ranked #4,407 of 32,066 US ZIPs (top 13.8%)
Ranked #86 of 763 Wisconsin ZIPs (top 11.3%)
Ranked #41 of 80 Milwaukee-Waukesha, WI ZIPs (bottom 49%)
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.
Binge drinking
20.6%
in the top 4.2% nationally
Lower is healthier
ST87thUS96thDefinition & 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 ›Utility shut-off threat
4.3%
in the bottom 5.7% nationally
Lower is healthier
ST17thUS6thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Loneliness
28%
in the bottom 7.3% nationally
Lower is healthier
ST14thUS7thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Mammography
81.3%
in the top 5.8% nationally
Higher is healthier
ST83rdUS94thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Poverty rate
2.8%
in the bottom 9.2% nationally
Lower is healthier
ST5thUS9thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›High blood pressure
28.8%
in the bottom 7.7% nationally
Lower is healthier
ST6thUS8thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Fatal road crashes
2.9 per 100,000 residents per year
in the bottom 10.2% nationally
Lower is healthier
ST8thUS10thDefinition & 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 ›Distance to an emergency room
15.2 mi
in the top 10.7% nationally
Lower is healthier
ST95thUS89thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›PFAS in drinking water
49.9%
in the top 13.4% nationally
Lower is healthier
ST92ndUS87thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Stroke
2.8%
in the bottom 12.5% nationally
Lower is healthier
ST9thUS12thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›The read
Overall, Belgium, Wisconsin (ZIP 53004) places in the top 13.8% healthiest ZIPs nationally (4,407th) and the top 11.3% of Wisconsin (86th).
Where the data is kindest to this area, a few readings lead the way: modeled utility shutoff stands in the bottom 5.7% nationally, and loneliness registers in the bottom 7.3% nationally. Modeled mammography settles in the top 5.8% nationally, and poverty sits in the bottom 9.2% nationally. Modeled high blood pressure lies in the bottom 7.7% nationally, fatal road crashes rests in the bottom 10.2% nationally, and modeled transportation resides in the bottom 11.1% nationally. Modeled food insecurity is in the bottom 11.6% nationally. On the other hand, modeled binge drinking lands in the top 4.2% nationally, and distance to an emergency room stands in the top 10.7% nationally.
Among nearby ZIPs, the nearest healthier one overall is ZIP 53024, about 5.3 miles away. Modeled mammography stands in the top 5.8% nationally.
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 82%
21%
Social Need / SDOH
healthier than 76%
16%
Environmental Hazard
healthier than 78%
14%
Preventive Care
healthier than 79%
13%
Mental Health
healthier than 60%
8%
Disability
healthier than 86%
7%
Climate / Disaster Risk
healthier than 74%
5%
About typical
Risk Behavior
healthier than 56%
11%
Healthcare Access
healthier than 45%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 91%
21%
Social Need / SDOH
healthier than 70%
16%
Environmental Hazard
healthier than 84%
14%
Preventive Care
healthier than 60%
13%
Risk Behavior
healthier than 75%
11%
Disability
healthier than 89%
7%
Healthcare Access
healthier than 61%
5%
About typical
Mental Health
healthier than 50%
8%
Climate / Disaster Risk
healthier than 49%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Environmental Hazard
healthier than 96%
14%
About typical
Risk Behavior
healthier than 43%
11%
Disability
healthier than 58%
7%
Climate / Disaster Risk
healthier than 54%
5%
Holding it back
Social Need / SDOH
healthier than 31%
16%
Preventive Care
healthier than 32%
13%
Mental Health
healthier than 36%
8%
Healthcare Access
healthier than 31%
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
53013
Wisconsinshares a border
Score 59.41
Closest healthier
53024
Wisconsinabout 5.3 mi away
Score 63.90
Similar health profile
14425
New York100% similar profile
Score 62.84
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 | 24.9% | 22.1–27.8 |
| High blood pressure among adults | 28.8% | 25.5–32.4 |
| Cancer (non-skin) or melanoma among adults | 8.5% | 7.7–9.4 |
| Current asthma among adults | 10.7% | 9.5–12.0 |
| Coronary heart disease among adults | 5.7% | 5.0–6.3 |
| Chronic obstructive pulmonary disease among adults | 5.5% | 4.7–6.3 |
| Depression among adults | 23.4% | 20.2–26.9 |
| Diagnosed diabetes among adults | 9.9% | 8.5–11.3 |
| High cholesterol among adults who have ever been screened | 35.8% | 32.2–39.6 |
| Obesity among adults | 32.3% | 26.7–38.7 |
| Stroke among adults | 2.8% | 2.6–3.1 |
| All teeth lost among adults aged >=65 years | 8.0% | 6.4–10.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.6% | 5.4–8.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.4% | 74.5–80.2 |
| Visits to doctor for routine checkup within the past year among adults | 78.2% | 74.8–81.4 |
| Cholesterol screening among adults | 87.5% | 85.7–89.2 |
| Colorectal cancer screening among adults aged 45–75 years | 68.0% | 63.4–72.4 |
| Visited dentist or dental clinic in the past year among adults | 68.8% | 65.6–72.2 |
| Mammography use among women aged 50-74 years | 81.3% | 74.9–86.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.6% | 17.5–24.1 |
| Current cigarette smoking among adults | 12.7% | 10.4–15.0 |
| No leisure-time physical activity among adults | 23.8% | 20.0–28.0 |
| Short sleep duration among adults | 30.9% | 25.4–36.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.3% | 13.1–17.6 |
| Frequent mental distress among adults | 15.4% | 13.5–17.4 |
| Frequent physical distress among adults | 12.0% | 10.5–13.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.8% | 10.2–13.4 |
| Any disability among adults | 26.1% | 22.4–29.8 |
| Hearing disability among adults | 6.1% | 5.4–6.9 |
| Independent living disability among adults | 6.6% | 5.8–7.5 |
| Mobility disability among adults | 11.3% | 9.7–13.0 |
| Self-care disability among adults | 2.8% | 2.5–3.2 |
| Vision disability among adults | 3.5% | 3.1–3.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.9% | 15.8–22.0 |
| Food insecurity in the past 12 months among adults | 8.8% | 7.1–10.7 |
| Received food stamps in the past 12 months among adults | 8.5% | 6.8–10.4 |
| Housing insecurity in the past 12 months among adults | 7.8% | 6.3–9.3 |
| Lack of reliable transportation in the past 12 months among adults | 5.3% | 4.4–6.1 |
| Loneliness among adults | 28.0% | 23.9–32.4 |
| Utility services shut-off threat in the past 12 months among adults | 4.3% | 3.6–5.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.8% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 1.7% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 2.6% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 26.8% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 3.8% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 3.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 86.2% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 26.8% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 85.4% | 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 | 3.8% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 69.8% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 22.0% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 46.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $84,821 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $256,000 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $982 | $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 | 81.5 yr ± 1.34 | 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 1.34 years of 81.5, 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