ZIP code
54568
in Woodruff, WisconsinPopulation 4,854
58.03/ 100
Ranked #6,364 of 32,066 US ZIPs (top 20%)
Ranked #157 of 763 Wisconsin ZIPs (top 21%)
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.
Child-care access
0.77 per 1,000 residents
in the top 4.2% nationally
Higher is healthier
ST97thUS96thDefinition & source ›
The number of child day-care services 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 ›Utility shut-off threat
4.1%
in the bottom 4.4% nationally
Lower is healthier
ST12thUS4thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Short sleep
28.5%
in the bottom 4.3% nationally
Lower is healthier
ST6thUS4thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Humid extreme heat
8.7 days/year
in the bottom 5.9% nationally
Lower is healthier
ST2ndUS6thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Air-toxics cancer risk
19.2 per million
in the bottom 7.2% nationally
Lower is healthier
ST7thUS7thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Distance to a hazardous-chemical facility
16 mi
in the top 7.2% nationally
Higher is healthier
ST92ndUS93rdDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Colon-cancer screening
74%
in the top 4.8% nationally
Higher is healthier
ST92ndUS95thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Grocery access
0.19 per 1,000 residents
in the top 7.8% nationally
Higher is healthier
ST91stUS92ndDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Housing insecurity
7.1%
in the bottom 8.1% nationally
Lower is healthier
ST12thUS8thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Lack of transportation
5.1%
in the bottom 8.7% nationally
Lower is healthier
ST13thUS9thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›The read
By the composite measure, Woodruff, Wisconsin (ZIP 54568) sits in the top 20% healthiest ZIPs nationally (6,364th) and the top 21% of Wisconsin (157th).
Where this area does well, the measures make it plain: childcare sits in the top 4.2% nationally, modeled utility shutoff registers in the bottom 4.4% nationally, and modeled short sleep lands in the bottom 4.3% nationally. Distance to an emergency room resides at the national minimum, shared with about 11% of ZIPs. Modeled humid heat lies in the bottom 5.9% nationally, and air-toxics cancer risk settles in the bottom 7.2% nationally. Distance to a hazardous-chemical facility stands in the top 7.2% nationally, and modeled colon screening is in the top 4.8% nationally. Grocery rests in the top 7.8% nationally, and modeled housing insecurity sits in the bottom 8.1% nationally.
In plain language, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. 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. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. ZIP 54512, 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.
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 85%
16%
Preventive Care
healthier than 95%
13%
Risk Behavior
healthier than 77%
11%
Mental Health
healthier than 79%
8%
Disability
healthier than 60%
7%
Climate / Disaster Risk
healthier than 97%
5%
Healthcare Access
healthier than 74%
5%
About typical
Environmental Hazard
healthier than 50%
14%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Lifting this score
Social Need / SDOH
healthier than 86%
16%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 92%
11%
Mental Health
healthier than 86%
8%
Climate / Disaster Risk
healthier than 99%
5%
Healthcare Access
healthier than 85%
5%
About typical
Environmental Hazard
healthier than 42%
14%
Disability
healthier than 48%
7%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
“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
54512
Wisconsinshares a border
Score 59.46
Closest healthier
54560
Wisconsinshares a border
Score 59.46
Similar health profile
12870
New York98% similar profile
Score 59.17
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 | 33.8% | 31.2–36.6 |
| High blood pressure among adults | 40.0% | 37.1–43.2 |
| Cancer (non-skin) or melanoma among adults | 12.4% | 11.4–13.4 |
| Current asthma among adults | 10.7% | 9.7–11.8 |
| Coronary heart disease among adults | 8.8% | 8.0–9.7 |
| Chronic obstructive pulmonary disease among adults | 7.7% | 6.7–8.8 |
| Depression among adults | 22.7% | 20.3–25.4 |
| Diagnosed diabetes among adults | 12.9% | 11.5–14.5 |
| High cholesterol among adults who have ever been screened | 40.7% | 37.7–44.0 |
| Obesity among adults | 36.1% | 31.7–41.0 |
| Stroke among adults | 4.2% | 3.8–4.6 |
| All teeth lost among adults aged >=65 years | 7.3% | 6.2–8.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.0% | 4.9–7.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.5% | 80.4–84.6 |
| Visits to doctor for routine checkup within the past year among adults | 81.1% | 78.7–83.4 |
| Cholesterol screening among adults | 90.4% | 89.3–91.4 |
| Colorectal cancer screening among adults aged 45–75 years | 74.0% | 70.7–77.0 |
| Visited dentist or dental clinic in the past year among adults | 71.6% | 69.1–74.1 |
| Mammography use among women aged 50-74 years | 78.7% | 73.5–83.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.6% | 14.6–19.0 |
| Current cigarette smoking among adults | 12.9% | 11.0–15.0 |
| No leisure-time physical activity among adults | 27.1% | 23.7–30.7 |
| Short sleep duration among adults | 28.5% | 24.7–32.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.5% | 15.3–19.8 |
| Frequent mental distress among adults | 13.6% | 12.2–15.0 |
| Frequent physical distress among adults | 14.3% | 12.8–15.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.2% | 10.0–12.6 |
| Any disability among adults | 31.6% | 28.4–34.9 |
| Hearing disability among adults | 9.2% | 8.3–10.1 |
| Independent living disability among adults | 7.7% | 6.8–8.7 |
| Mobility disability among adults | 15.8% | 13.9–17.8 |
| Self-care disability among adults | 3.7% | 3.3–4.2 |
| Vision disability among adults | 4.4% | 3.9–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.0% | 15.7–20.4 |
| Food insecurity in the past 12 months among adults | 8.9% | 7.5–10.6 |
| Received food stamps in the past 12 months among adults | 9.4% | 7.8–11.2 |
| Housing insecurity in the past 12 months among adults | 7.1% | 6.0–8.2 |
| Lack of reliable transportation in the past 12 months among adults | 5.1% | 4.5–5.8 |
| Loneliness among adults | 28.6% | 25.3–32.0 |
| Utility services shut-off threat in the past 12 months among adults | 4.1% | 3.5–4.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.4% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 10.1% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 2.9% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 33.2% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.3% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 5.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 89.3% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 25.5% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 89.9% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.7% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 65.0% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 29.1% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 52.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $72,589 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $281,000 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $771 | $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 | 78.3 yr ± 1.31 | 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 1.31 years of 78.3, 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