ZIP code
53016
in Clyman, WisconsinPopulation 360
53.17/ 100
Ranked #11,826 of 32,066 US ZIPs (top 37%)
Ranked #412 of 763 Wisconsin ZIPs (bottom 46%)
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.
Natural-disaster risk
in the bottom 2.4% nationally
Lower is healthier
ST4thUS2ndDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Expected annual disaster loss
$0
in the bottom 5.7% nationally
Lower is healthier
ST2ndUS6thDefinition & 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 ›Binge drinking
19.5%
in the top 8.3% nationally
Lower is healthier
ST67thUS92ndDefinition & 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 ›PFAS in drinking water
10.2%
in the bottom 9.5% nationally
Lower is healthier
ST8thUS9thDefinition & 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 ›Obesity
43.5%
in the top 7.5% nationally
Lower is healthier
ST93rdUS93rdDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Transportation noise
0.24%
in the bottom 11.1% nationally
Lower is healthier
ST5thUS11thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Housing-cost burden
36.6%
in the top 14.8% nationally
Lower is healthier
ST97thUS85thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Tree cover
0.11%
in the bottom 15.0% nationally
Higher is healthier
ST4thUS15thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Crowded housing
3.7%
in the top 21% nationally
Lower is healthier
ST90thUS79thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›The read
Overall, Clyman, Wisconsin (ZIP 53016) lands in the top 37% healthiest ZIPs nationally (11,826th) and the bottom 46% of Wisconsin (412th).
The picture here is genuinely mixed, with readings on both sides: modeled disaster risk registers in the bottom 2.4% nationally, and floodplain exposure rests at the national minimum. Modeled expected annual loss stands in the bottom 5.7% nationally, and pfas lies in the bottom 9.5% nationally. Modeled transportation noise lands in the bottom 11.1% nationally. Outer-floodplain exposure sits at the national minimum, shared with about 36% of ZIPs. On the other side, modeled binge drinking is in the top 8.3% nationally, modeled obesity settles in the top 7.5% nationally, and housing-cost burden resides in the top 14.8% nationally. Modeled tree cover registers in the bottom 15.0% nationally.
A note on the terms: disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. For a healthier nearby comparison, ZIP 53557, about 2.1 miles away, ranks better 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.
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 63%
21%
Environmental Hazard
healthier than 92%
14%
Disability
healthier than 67%
7%
Climate / Disaster Risk
healthier than 92%
5%
About typical
Social Need / SDOH
healthier than 46%
16%
Preventive Care
healthier than 43%
13%
Mental Health
healthier than 52%
8%
Holding it back
Risk Behavior
healthier than 22%
11%
Healthcare Access
healthier than 26%
5%
Lifting this score
Chronic Disease Burden
healthier than 63%
21%
Environmental Hazard
healthier than 96%
14%
Climate / Disaster Risk
healthier than 93%
5%
About typical
Disability
healthier than 59%
7%
Holding it back
Social Need / SDOH
healthier than 29%
16%
Preventive Care
healthier than 11%
13%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 33%
8%
Healthcare Access
healthier than 32%
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
53039
Wisconsinshares a border
Score 52.16
Closest healthier
53557
Wisconsinabout 2.1 mi away
Score 53.96
Similar health profile
47943
Indiana98% similar profile
Score 51.53
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% | 24.0–30.1 |
| High blood pressure among adults | 32.5% | 28.9–36.1 |
| Cancer (non-skin) or melanoma among adults | 8.1% | 7.2–9.0 |
| Current asthma among adults | 10.9% | 9.7–12.3 |
| Coronary heart disease among adults | 6.5% | 5.7–7.4 |
| Chronic obstructive pulmonary disease among adults | 6.7% | 5.7–8.0 |
| Depression among adults | 23.3% | 20.1–26.7 |
| Diagnosed diabetes among adults | 11.4% | 9.8–13.1 |
| High cholesterol among adults who have ever been screened | 36.0% | 32.2–39.9 |
| Obesity among adults | 43.5% | 37.1–49.9 |
| Stroke among adults | 3.3% | 2.9–3.7 |
| All teeth lost among adults aged >=65 years | 11.5% | 9.4–13.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.1% | 6.3–10.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.2% | 74.0–80.0 |
| Visits to doctor for routine checkup within the past year among adults | 78.3% | 74.8–81.4 |
| Cholesterol screening among adults | 85.7% | 83.5–87.7 |
| Colorectal cancer screening among adults aged 45–75 years | 63.8% | 59.4–68.0 |
| Visited dentist or dental clinic in the past year among adults | 63.2% | 59.8–66.5 |
| Mammography use among women aged 50-74 years | 73.8% | 66.6–80.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.5% | 16.3–22.8 |
| Current cigarette smoking among adults | 15.8% | 12.7–19.1 |
| No leisure-time physical activity among adults | 28.5% | 23.9–33.5 |
| Short sleep duration among adults | 35.5% | 30.4–40.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.2% | 15.3–21.5 |
| Frequent mental distress among adults | 16.4% | 14.3–18.7 |
| Frequent physical distress among adults | 13.6% | 11.7–15.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.6% | 11.6–15.9 |
| Any disability among adults | 30.6% | 26.4–35.2 |
| Hearing disability among adults | 6.9% | 6.0–7.8 |
| Independent living disability among adults | 7.8% | 6.7–9.1 |
| Mobility disability among adults | 13.5% | 11.4–15.8 |
| Self-care disability among adults | 3.6% | 3.1–4.2 |
| Vision disability among adults | 4.5% | 3.9–5.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.0% | 17.5–24.5 |
| Food insecurity in the past 12 months among adults | 12.5% | 9.9–15.4 |
| Received food stamps in the past 12 months among adults | 12.7% | 10.0–15.6 |
| Housing insecurity in the past 12 months among adults | 10.2% | 8.2–12.2 |
| Lack of reliable transportation in the past 12 months among adults | 6.7% | 5.6–7.9 |
| Loneliness among adults | 29.8% | 25.1–34.4 |
| Utility services shut-off threat in the past 12 months among adults | 5.8% | 4.7–6.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.6% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 13.2% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 18.5% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 6.5% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 5.1% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 2.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 92.1% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 36.6% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 68.3% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 3.7% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 5.6% | 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+ | 8.1% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 39.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $70,313 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $183,300 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $929 | $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 | 81.4 yr ± 1.43 | 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 1.43 years of 81.4, 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