ZIP code
54007
in Deer Park, WisconsinPopulation 1,175
56.52/ 100
Ranked #7,734 of 32,066 US ZIPs (top 24%)
Ranked #222 of 763 Wisconsin ZIPs (top 29%)
Ranked #154 of 224 Minneapolis-St. Paul-Bloomington, MN-WI ZIPs (bottom 31%)
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
20.4%
in the top 4.8% nationally
Lower is healthier
ST84thUS95thDefinition & 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 ›Fine-particle (PM2.5) exceedance
1.2%
in the top 7.8% nationally
Lower is healthier
ST97thUS92ndDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Nitrate in drinking water
0.14%
in the top 8.1% nationally
Lower is healthier
ST85thUS92ndDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams 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 ›Radon
3 pCi/L
in the top 10.3% nationally
Lower is healthier
ST93rdUS90thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›Fatal road crashes
34 per 100,000 residents per year
in the top 10.3% nationally
Lower is healthier
ST94thUS90thDefinition & 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 ›Households without a vehicle
0.65%
in the bottom 18% nationally
Lower is healthier
ST8thUS18thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›The read
Deer Park, Wisconsin (ZIP 54007), on the composite measure, lands in the top 24% healthiest ZIPs nationally (7,734th) and the top 29% of Wisconsin (222nd).
Where this area does well, the measures make it plain: modeled utility shutoff stands in the bottom 10.9% nationally, tooth loss is in the bottom 10.1% nationally, and loneliness rests in the bottom 14.9% nationally. Poverty sits in the bottom 16% nationally. Against that, modeled binge drinking registers in the top 4.8% nationally, and fine-particle lands in the top 7.8% nationally. Modeled nitrate resides in the top 8.1% nationally, and radon lies in the top 10.3% nationally. Fatal road crashes settles in the top 10.3% nationally, and walkability stands in the bottom 15.0% nationally.
Set against the neighboring ZIPs, park land runs far higher than the surrounding ZIPs on this measure. In everyday language, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. A healthier neighbor overall sits at ZIP 54001, 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 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 71%
21%
Social Need / SDOH
healthier than 67%
16%
Preventive Care
healthier than 71%
13%
Mental Health
healthier than 65%
8%
Disability
healthier than 76%
7%
Climate / Disaster Risk
healthier than 85%
5%
About typical
Healthcare Access
healthier than 49%
5%
Holding it back
Environmental Hazard
healthier than 37%
14%
Risk Behavior
healthier than 36%
11%
Lifting this score
Chronic Disease Burden
healthier than 77%
21%
Mental Health
healthier than 62%
8%
Disability
healthier than 75%
7%
Climate / Disaster Risk
healthier than 79%
5%
Healthcare Access
healthier than 67%
5%
About typical
Social Need / SDOH
healthier than 55%
16%
Preventive Care
healthier than 42%
13%
Risk Behavior
healthier than 43%
11%
Holding it back
Environmental Hazard
healthier than 27%
14%
Lifting this score
Environmental Hazard
healthier than 78%
14%
Preventive Care
healthier than 62%
13%
Mental Health
healthier than 63%
8%
Climate / Disaster Risk
healthier than 91%
5%
About typical
Healthcare Access
healthier than 59%
5%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Social Need / SDOH
healthier than 21%
16%
Risk Behavior
healthier than 9%
11%
Disability
healthier than 30%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
54001
Wisconsinshares a border
Score 58.16
Closest healthier
54017
Wisconsinshares a border
Score 58.15
Similar health profile
14830
New York98% similar profile
Score 58.41
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 | 27.0% | 24.6–29.4 |
| High blood pressure among adults | 33.8% | 30.9–36.6 |
| Cancer (non-skin) or melanoma among adults | 8.8% | 8.1–9.5 |
| Current asthma among adults | 10.7% | 9.7–11.8 |
| Coronary heart disease among adults | 6.4% | 5.8–7.0 |
| Chronic obstructive pulmonary disease among adults | 6.4% | 5.7–7.2 |
| Depression among adults | 22.9% | 20.4–25.6 |
| Diagnosed diabetes among adults | 10.8% | 9.7–12.0 |
| High cholesterol among adults who have ever been screened | 35.1% | 32.1–38.0 |
| Obesity among adults | 37.3% | 32.6–42.1 |
| Stroke among adults | 3.2% | 3.0–3.5 |
| All teeth lost among adults aged >=65 years | 7.4% | 6.2–8.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.8% | 5.7–8.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.8% | 75.2–80.0 |
| Visits to doctor for routine checkup within the past year among adults | 76.2% | 73.3–78.8 |
| Cholesterol screening among adults | 87.2% | 85.6–88.6 |
| Colorectal cancer screening among adults aged 45–75 years | 68.4% | 64.8–71.9 |
| Visited dentist or dental clinic in the past year among adults | 68.1% | 65.4–70.7 |
| Mammography use among women aged 50-74 years | 79.3% | 74.4–83.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.4% | 17.8–23.0 |
| Current cigarette smoking among adults | 14.7% | 12.8–16.8 |
| No leisure-time physical activity among adults | 26.0% | 22.9–29.4 |
| Short sleep duration among adults | 32.9% | 28.8–37.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.6% | 14.7–18.7 |
| Frequent mental distress among adults | 15.3% | 13.9–16.9 |
| Frequent physical distress among adults | 12.9% | 11.7–14.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.6% | 11.2–14.0 |
| Any disability among adults | 28.6% | 25.8–31.7 |
| Hearing disability among adults | 6.9% | 6.2–7.5 |
| Independent living disability among adults | 7.3% | 6.5–8.1 |
| Mobility disability among adults | 12.6% | 11.2–14.2 |
| Self-care disability among adults | 3.3% | 3.0–3.7 |
| Vision disability among adults | 3.9% | 3.5–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.7% | 17.4–22.4 |
| Food insecurity in the past 12 months among adults | 10.0% | 8.4–11.8 |
| Received food stamps in the past 12 months among adults | 10.2% | 8.5–12.1 |
| Housing insecurity in the past 12 months among adults | 8.4% | 7.2–9.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.7% | 5.0–6.5 |
| Loneliness among adults | 29.1% | 25.8–32.6 |
| Utility services shut-off threat in the past 12 months among adults | 4.8% | 4.1–5.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.3% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 9.4% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 6.3% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 24.9% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 2.7% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 0.7% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 86.3% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 22.4% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 81.7% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.9% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.6% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 62.2% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 15.9% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 43.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $85,398 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $309,400 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $995 | $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 | 79.0 yr ± 1.14 | 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 1.14 years of 79.0, 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