ZIP code
53525
in Clinton, WisconsinPopulation 4,066
51.46/ 100
Ranked #14,189 of 32,066 US ZIPs (top 44%)
Ranked #503 of 763 Wisconsin ZIPs (bottom 34%)
Ranked #9 of 12 Janesville-Beloit, WI ZIPs (bottom 25%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
The read
By the composite health measure, Clinton, Wisconsin (ZIP 53525) ranks in the top 44% healthiest ZIPs nationally (14,189th) and the bottom 34% of Wisconsin (503rd).
A handful of measures stand out most sharply across the profile here: distance to a nursing home resides at the national minimum, shared with about 27% of ZIPs. Poverty registers in the bottom 18% nationally, and pharmacy rests in the top 19% nationally. Modeled utility shutoff stands in the bottom 23% nationally. On the other side, modeled radon lies in the top 14.3% nationally, obesity lands in the top 11.3% nationally, and industrial-pollution burden sits in the top 15% nationally. Distance to a hazardous-chemical facility is at the national minimum, shared with about 31% of ZIPs. Fatal road crashes settles in the top 16% nationally. Childcare resides at the national minimum, shared with about 42% of ZIPs.
Read against the ZIPs closest to it, park land runs far lower than the surrounding ZIPs on this measure. To spell things out, radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Close by, ZIP 53505, just across the boundary, ranks 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 Janesville-Beloit, WI metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 60%
16%
Climate / Disaster Risk
healthier than 77%
5%
About typical
Chronic Disease Burden
healthier than 49%
21%
Preventive Care
healthier than 57%
13%
Mental Health
healthier than 55%
8%
Disability
healthier than 53%
7%
Healthcare Access
healthier than 53%
5%
Holding it back
Environmental Hazard
healthier than 28%
14%
Risk Behavior
healthier than 33%
11%
Lifting this score
Healthcare Access
healthier than 72%
5%
About typical
Social Need / SDOH
healthier than 45%
16%
Climate / Disaster Risk
healthier than 59%
5%
Holding it back
Chronic Disease Burden
healthier than 39%
21%
Environmental Hazard
healthier than 20%
14%
Preventive Care
healthier than 21%
13%
Risk Behavior
healthier than 37%
11%
Mental Health
healthier than 37%
8%
Disability
healthier than 36%
7%
Lifting this score
Social Need / SDOH
healthier than 73%
16%
Preventive Care
healthier than 73%
13%
Climate / Disaster Risk
healthier than 73%
5%
Healthcare Access
healthier than 82%
5%
About typical
Environmental Hazard
healthier than 45%
14%
Mental Health
healthier than 55%
8%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Risk Behavior
healthier than 36%
11%
Disability
healthier than 18%
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
53114
Wisconsinshares a border
Score 49.57
Closest healthier
53505
Wisconsinshares a border
Score 52.41
Similar health profile
54143
Wisconsin96% similar profile
Score 53.82
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 | 29.1% | 26.1–32.2 |
| High blood pressure among adults | 35.3% | 31.8–39.0 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.4–10.2 |
| Current asthma among adults | 11.2% | 10.0–12.6 |
| Coronary heart disease among adults | 7.5% | 6.7–8.4 |
| Chronic obstructive pulmonary disease among adults | 7.6% | 6.6–8.6 |
| Depression among adults | 23.5% | 20.4–27.0 |
| Diagnosed diabetes among adults | 13.2% | 11.6–15.1 |
| High cholesterol among adults who have ever been screened | 36.2% | 32.7–40.1 |
| Obesity among adults | 42.4% | 36.6–48.6 |
| Stroke among adults | 3.8% | 3.4–4.2 |
| All teeth lost among adults aged >=65 years | 10.2% | 8.3–12.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 7.3–10.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.8% | 76.1–81.7 |
| Visits to doctor for routine checkup within the past year among adults | 77.5% | 74.2–80.7 |
| Cholesterol screening among adults | 86.0% | 84.2–87.7 |
| Colorectal cancer screening among adults aged 45–75 years | 68.8% | 64.4–72.8 |
| Visited dentist or dental clinic in the past year among adults | 63.6% | 60.3–66.9 |
| Mammography use among women aged 50-74 years | 76.0% | 69.5–81.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.4% | 13.8–19.6 |
| Current cigarette smoking among adults | 15.5% | 13.1–18.1 |
| No leisure-time physical activity among adults | 31.0% | 26.8–35.5 |
| Short sleep duration among adults | 36.1% | 31.4–41.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.6% | 17.9–23.4 |
| Frequent mental distress among adults | 16.0% | 14.1–18.0 |
| Frequent physical distress among adults | 14.7% | 13.0–16.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.6% | 11.9–15.4 |
| Any disability among adults | 32.6% | 28.7–36.8 |
| Hearing disability among adults | 7.9% | 7.0–8.9 |
| Independent living disability among adults | 8.7% | 7.6–9.8 |
| Mobility disability among adults | 15.5% | 13.4–17.7 |
| Self-care disability among adults | 4.0% | 3.5–4.5 |
| Vision disability among adults | 4.9% | 4.4–5.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.1% | 17.9–24.6 |
| Food insecurity in the past 12 months among adults | 12.7% | 10.5–15.3 |
| Received food stamps in the past 12 months among adults | 13.5% | 11.2–16.1 |
| Housing insecurity in the past 12 months among adults | 10.0% | 8.4–11.9 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 5.9–7.9 |
| Loneliness among adults | 30.7% | 26.4–35.5 |
| Utility services shut-off threat in the past 12 months among adults | 5.6% | 4.7–6.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.9% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 9.6% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 8.9% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 23.8% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 5.0% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 3.7% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 84.7% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 19.7% | 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) | 0.2% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 4.5% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 61.2% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 18.3% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 43.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $79,323 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $248,100 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $943 | $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 | 77.2 yr ± 1.11 | 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 1.11 years of 77.2, 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