ZIP code
54002
in Baldwin, WisconsinPopulation 6,872
58.75/ 100
Ranked #5,792 of 32,066 US ZIPs (top 18%)
Ranked #133 of 763 Wisconsin ZIPs (top 17%)
Ranked #126 of 224 Minneapolis-St. Paul-Bloomington, MN-WI ZIPs (bottom 44%)
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
21%
in the top 3.3% nationally
Lower is healthier
ST91stUS97thDefinition & 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 ›Fiber broadband
98%
in the top 6.7% nationally
Higher is healthier
ST95thUS93rdDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Arsenic in groundwater
1.3%
in the bottom 8.3% nationally
Lower is healthier
ST1stUS8thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
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 ›High cholesterol
31.8%
in the bottom 6.1% nationally
Lower is healthier
ST7thUS6thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Utility shut-off threat
4.7%
in the bottom 9.7% nationally
Lower is healthier
ST33rdUS10thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Pharmacy access
0.3 per 1,000 residents
in the top 14.3% nationally
Higher is healthier
ST92ndUS86thDefinition & source ›
The number of pharmacies 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 ›Diabetes
9.4%
in the bottom 11.5% nationally
Lower is healthier
ST7thUS11thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Coronary heart disease
5.6%
in the bottom 17% nationally
Lower is healthier
ST9thUS17thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›The read
Baldwin, Wisconsin (ZIP 54002), on the composite measure, lands in the top 18% healthiest ZIPs nationally (5,792nd) and the top 17% of Wisconsin (133rd).
Reading across the measures, this area's clearest strengths come through: fiber broadband resides in the top 6.7% nationally, modeled arsenic lies in the bottom 8.3% nationally, and modeled high cholesterol settles in the bottom 6.1% nationally. Modeled utility shutoff stands in the bottom 9.7% nationally, and elder services is in the top 10.2% nationally. Distance to a nursing home rests at the national minimum, shared with about 27% of ZIPs. Pharmacy sits in the top 14.3% nationally, and modeled diabetes registers in the bottom 11.5% nationally. By contrast, modeled binge drinking lands in the top 3.3% nationally, and fine-particle resides in the top 11.7% nationally.
In everyday language, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. A healthier neighbor overall sits at ZIP 54016, about 8.0 miles away.
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 Minneapolis-St. Paul-Bloomington, MN-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 81%
16%
Preventive Care
healthier than 63%
13%
Mental Health
healthier than 62%
8%
Disability
healthier than 82%
7%
Climate / Disaster Risk
healthier than 84%
5%
About typical
Environmental Hazard
healthier than 57%
14%
Risk Behavior
healthier than 41%
11%
Holding it back
Healthcare Access
healthier than 22%
5%
Lifting this score
Chronic Disease Burden
healthier than 91%
21%
Social Need / SDOH
healthier than 79%
16%
Disability
healthier than 85%
7%
Climate / Disaster Risk
healthier than 77%
5%
About typical
Environmental Hazard
healthier than 54%
14%
Risk Behavior
healthier than 53%
11%
Mental Health
healthier than 54%
8%
Holding it back
Preventive Care
healthier than 29%
13%
Healthcare Access
healthier than 24%
5%
Lifting this score
Environmental Hazard
in the top 1.0%
14%
Climate / Disaster Risk
healthier than 90%
5%
About typical
Preventive Care
healthier than 51%
13%
Mental Health
healthier than 58%
8%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
Social Need / SDOH
healthier than 39%
16%
Risk Behavior
healthier than 13%
11%
Disability
healthier than 39%
7%
Healthcare Access
healthier than 37%
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
54013
Wisconsinshares a border
Score 54.80
Closest healthier
54016
Wisconsinabout 8.0 mi away
Score 62.07
Similar health profile
53536
Wisconsin99% similar profile
Score 57.70
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 | 24.3% | 21.5–27.2 |
| High blood pressure among adults | 31.3% | 27.8–35.0 |
| Cancer (non-skin) or melanoma among adults | 8.3% | 7.5–9.2 |
| Current asthma among adults | 10.6% | 9.4–12.0 |
| Coronary heart disease among adults | 5.6% | 5.0–6.3 |
| Chronic obstructive pulmonary disease among adults | 5.6% | 4.9–6.5 |
| Depression among adults | 23.2% | 20.0–26.7 |
| Diagnosed diabetes among adults | 9.4% | 8.0–10.8 |
| High cholesterol among adults who have ever been screened | 31.8% | 28.3–35.5 |
| Obesity among adults | 36.6% | 30.8–42.8 |
| Stroke among adults | 2.9% | 2.6–3.2 |
| All teeth lost among adults aged >=65 years | 8.8% | 7.1–10.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.6% | 5.5–8.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.2% | 73.4–79.0 |
| Visits to doctor for routine checkup within the past year among adults | 75.3% | 71.6–78.7 |
| Cholesterol screening among adults | 86.1% | 84.3–87.9 |
| Colorectal cancer screening among adults aged 45–75 years | 67.9% | 63.5–72.0 |
| Visited dentist or dental clinic in the past year among adults | 69.6% | 66.4–72.7 |
| Mammography use among women aged 50-74 years | 78.6% | 72.1–84.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.0% | 17.9–24.7 |
| Current cigarette smoking among adults | 13.3% | 11.1–15.7 |
| No leisure-time physical activity among adults | 25.1% | 21.3–29.3 |
| Short sleep duration among adults | 32.6% | 27.7–37.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.4% | 13.3–17.8 |
| Frequent mental distress among adults | 15.4% | 13.5–17.5 |
| Frequent physical distress among adults | 11.9% | 10.4–13.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.5% | 10.8–14.3 |
| Any disability among adults | 27.5% | 23.9–31.5 |
| Hearing disability among adults | 6.3% | 5.6–7.1 |
| Independent living disability among adults | 7.1% | 6.2–8.2 |
| Mobility disability among adults | 11.4% | 9.7–13.2 |
| Self-care disability among adults | 2.9% | 2.6–3.3 |
| Vision disability among adults | 3.7% | 3.2–4.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.4% | 16.5–22.4 |
| Food insecurity in the past 12 months among adults | 9.7% | 7.9–11.6 |
| Received food stamps in the past 12 months among adults | 9.9% | 8.2–12.0 |
| Housing insecurity in the past 12 months among adults | 8.2% | 6.8–9.8 |
| Lack of reliable transportation in the past 12 months among adults | 5.8% | 5.0–6.7 |
| Loneliness among adults | 29.3% | 25.3–33.6 |
| Utility services shut-off threat in the past 12 months among adults | 4.7% | 4.0–5.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.9% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 3.0% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 2.4% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 32.2% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 0.9% | 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 | 93.7% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 23.2% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 78.1% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.6% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.2% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 46.2% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 14.4% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 35.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $88,275 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $309,200 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,167 | $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 | 79.8 yr ± 0.56 | 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 0.56 years of 79.8, 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