ZIP code
54870
in Sarona, WisconsinPopulation 1,698
54.64/ 100
Ranked #9,906 of 32,066 US ZIPs (top 31%)
Ranked #321 of 763 Wisconsin ZIPs (top 42%)
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.
Colon-cancer screening
74.7%
in the top 3.5% nationally
Higher is healthier
ST94thUS97thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Fatal road crashes
41.2 per 100,000 residents per year
in the top 6.5% nationally
Lower is healthier
ST97thUS94thDefinition & 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 ›Utility shut-off threat
4.4%
in the bottom 6.6% nationally
Lower is healthier
ST20thUS7thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Nitrate in drinking water
0.66%
in the top 7.0% nationally
Lower is healthier
ST88thUS93rdDefinition & 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 ›Housing insecurity
7.2%
in the bottom 8.8% nationally
Lower is healthier
ST13thUS9thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Homeownership rate
94.6%
in the top 9.1% nationally
Higher is healthier
ST94thUS91stDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Transportation noise
0.22%
in the bottom 10.8% 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 ›High cholesterol
42.4%
in the top 13.6% nationally
Lower is healthier
ST95thUS86thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Tree cover
53.9%
in the top 19% nationally
Higher is healthier
ST92ndUS81stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Arsenic in groundwater
2.0%
in the bottom 26% nationally
Lower is healthier
ST7thUS26thDefinition & 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 ›The read
In overall standing, Sarona, Wisconsin (ZIP 54870) comes out in the top 31% healthiest ZIPs nationally (9,906th) and the top 42% of Wisconsin (321st).
The data is generous to this ZIP in several places worth naming: modeled colon screening sits in the top 3.5% nationally, utility shutoff settles in the bottom 6.6% nationally, and housing insecurity registers in the bottom 8.8% nationally. Homeownership stands in the top 9.1% nationally, modeled transportation noise lands in the bottom 10.8% nationally, and modeled transportation is in the bottom 12.4% nationally. Modeled loneliness resides in the bottom 12.4% nationally. Working the other way, fatal road crashes rests in the top 6.5% nationally, and modeled nitrate lies in the top 7.0% nationally. Modeled fine-particle sits in the top 11.7% nationally.
In plain terms, nitrate is a groundwater compound from fertilizer, manure, and sewage, 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. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. The nearest healthier ZIP overall is ZIP 54841, about 1.7 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 75%
14%
Preventive Care
healthier than 94%
13%
Mental Health
healthier than 86%
8%
Climate / Disaster Risk
healthier than 71%
5%
About typical
Social Need / SDOH
healthier than 49%
16%
Risk Behavior
healthier than 59%
11%
Disability
healthier than 54%
7%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Healthcare Access
healthier than 32%
5%
Lifting this score
Environmental Hazard
healthier than 80%
14%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 78%
11%
Mental Health
healthier than 94%
8%
About typical
Climate / Disaster Risk
healthier than 43%
5%
Healthcare Access
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Social Need / SDOH
healthier than 33%
16%
Disability
healthier than 39%
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
54801
Wisconsinshares a border
Score 50.35
Closest healthier
54841
Wisconsinabout 1.7 mi away
Score 54.86
Similar health profile
13731
New York99% similar profile
Score 55.01
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 | 35.1% | 31.2–39.1 |
| High blood pressure among adults | 41.1% | 36.7–45.7 |
| Cancer (non-skin) or melanoma among adults | 12.0% | 10.8–13.2 |
| Current asthma among adults | 10.7% | 9.5–12.1 |
| Coronary heart disease among adults | 9.3% | 8.2–10.6 |
| Chronic obstructive pulmonary disease among adults | 8.5% | 7.0–10.0 |
| Depression among adults | 20.6% | 17.5–24.1 |
| Diagnosed diabetes among adults | 14.2% | 12.2–16.5 |
| High cholesterol among adults who have ever been screened | 42.4% | 37.9–47.1 |
| Obesity among adults | 34.7% | 27.6–42.2 |
| Stroke among adults | 4.4% | 3.8–5.0 |
| All teeth lost among adults aged >=65 years | 10.5% | 8.5–12.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.4% | 5.1–7.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.4% | 80.6–85.9 |
| Visits to doctor for routine checkup within the past year among adults | 81.5% | 78.3–84.4 |
| Cholesterol screening among adults | 89.8% | 88.3–91.3 |
| Colorectal cancer screening among adults aged 45–75 years | 74.7% | 70.3–78.8 |
| 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 | 77.3% | 70.3–83.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.8% | 14.0–20.1 |
| Current cigarette smoking among adults | 14.3% | 11.5–17.2 |
| No leisure-time physical activity among adults | 29.0% | 24.0–34.6 |
| Short sleep duration among adults | 31.4% | 25.8–37.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.6% | 15.6–21.9 |
| Frequent mental distress among adults | 13.6% | 11.8–15.4 |
| Frequent physical distress among adults | 14.5% | 12.5–16.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.6% | 9.9–13.3 |
| Any disability among adults | 31.7% | 27.1–36.7 |
| Hearing disability among adults | 9.4% | 8.2–10.7 |
| Independent living disability among adults | 7.9% | 6.7–9.2 |
| Mobility disability among adults | 16.2% | 13.6–19.1 |
| Self-care disability among adults | 4.0% | 3.4–4.7 |
| Vision disability among adults | 4.7% | 4.0–5.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 17.9% | 15.1–21.1 |
| Food insecurity in the past 12 months among adults | 9.5% | 7.7–11.7 |
| Received food stamps in the past 12 months among adults | 10.4% | 8.4–12.6 |
| Housing insecurity in the past 12 months among adults | 7.2% | 5.9–8.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.4% | 4.6–6.2 |
| Loneliness among adults | 28.8% | 24.2–33.7 |
| Utility services shut-off threat in the past 12 months among adults | 4.4% | 3.6–5.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.7% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 5.7% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 2.2% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 27.6% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 4.1% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 1.3% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 90.0% | 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 | 94.6% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 2.9% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 0.8% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 80.8% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 30.3% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 56.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $67,063 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $296,100 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,125 | $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 | 77.7 yr ± 0.97 | 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 0.97 years of 77.7, 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