ZIP code
54170
in Shiocton, WisconsinPopulation 3,898
53.43/ 100
Ranked #11,464 of 32,066 US ZIPs (top 36%)
Ranked #399 of 763 Wisconsin ZIPs (bottom 48%)
Ranked #19 of 23 Appleton, WI ZIPs (bottom 17%)
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
21.1%
in the top 3.1% nationally
Lower is healthier
ST92ndUS97thDefinition & 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 ›Floodplain exposure
37.6%
in the top 7.0% nationally
Lower is healthier
ST98thUS93rdDefinition & 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 ›Walkability
2 intersections/sq mi
in the bottom 7.4% nationally
Higher is healthier
ST3rdUS7thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Arsenic in groundwater
16.2%
in the top 9.0% nationally
Lower is healthier
ST99thUS91stDefinition & 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 ›Fatal road crashes
28.2 per 100,000 residents per year
in the top 15% nationally
Lower is healthier
ST90thUS85thDefinition & 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 ›Outer-floodplain exposure
1.5%
in the top 18% nationally
Lower is healthier
ST91stUS82ndDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
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 ›The read
In its overall standing, Shiocton, Wisconsin (ZIP 54170) lands in the top 36% healthiest ZIPs nationally (11,464th) and the bottom 48% of Wisconsin (399th).
This area's most favorable readings come through plainly in the numbers: modeled utility shutoff lies in the bottom 12.2% nationally, colon screening stands in the top 13.7% nationally, and humid heat rests in the bottom 17% nationally. Modeled mammography registers in the top 16% nationally. On the other side, modeled binge drinking resides in the top 3.1% nationally, and floodplain exposure settles in the top 7.0% nationally. Walkability is in the bottom 7.4% nationally, and modeled arsenic sits in the top 9.0% nationally. Fatal road crashes lands in the top 15% nationally, and modeled fine-particle lies in the top 17% nationally.
Against the wider neighborhood, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. Put simply, arsenic is a natural groundwater contaminant, 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. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". On the overall standing, ZIP 54106, just across the boundary, ranks healthier.
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 Appleton, 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 62%
21%
Social Need / SDOH
healthier than 61%
16%
Preventive Care
healthier than 80%
13%
Disability
healthier than 73%
7%
About typical
Environmental Hazard
healthier than 44%
14%
Mental Health
healthier than 52%
8%
Holding it back
Risk Behavior
healthier than 32%
11%
Climate / Disaster Risk
healthier than 23%
5%
Healthcare Access
healthier than 29%
5%
Lifting this score
Chronic Disease Burden
healthier than 62%
21%
Preventive Care
healthier than 62%
13%
Disability
healthier than 70%
7%
About typical
Social Need / SDOH
healthier than 47%
16%
Holding it back
Environmental Hazard
healthier than 34%
14%
Risk Behavior
healthier than 35%
11%
Mental Health
healthier than 33%
8%
Climate / Disaster Risk
healthier than 2%
5%
Healthcare Access
healthier than 38%
5%
Lifting this score
Environmental Hazard
healthier than 77%
14%
Preventive Care
healthier than 68%
13%
About typical
Disability
healthier than 45%
7%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Social Need / SDOH
healthier than 14%
16%
Risk Behavior
healthier than 32%
11%
Mental Health
healthier than 36%
8%
Climate / Disaster Risk
healthier than 5%
5%
Healthcare Access
healthier than 36%
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
54106
Wisconsinshares a border
Score 55.18
Closest healthier
54107
Wisconsinshares a border
Score 54.07
Similar health profile
53034
Wisconsin95% similar profile
Score 53.16
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 | 28.9% | 26.3–31.7 |
| High blood pressure among adults | 35.4% | 32.3–38.5 |
| Cancer (non-skin) or melanoma among adults | 8.7% | 8.0–9.5 |
| Current asthma among adults | 10.9% | 9.7–12.1 |
| Coronary heart disease among adults | 6.5% | 5.9–7.3 |
| Chronic obstructive pulmonary disease among adults | 6.7% | 5.9–7.6 |
| Depression among adults | 24.0% | 21.1–27.0 |
| Diagnosed diabetes among adults | 11.2% | 9.8–12.7 |
| High cholesterol among adults who have ever been screened | 36.6% | 33.3–39.8 |
| Obesity among adults | 38.3% | 33.6–43.1 |
| Stroke among adults | 3.3% | 3.0–3.7 |
| All teeth lost among adults aged >=65 years | 11.4% | 9.2–13.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.3% | 6.0–8.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.1% | 75.3–80.6 |
| Visits to doctor for routine checkup within the past year among adults | 79.1% | 76.1–81.7 |
| Cholesterol screening among adults | 87.0% | 85.3–88.5 |
| Colorectal cancer screening among adults aged 45–75 years | 71.3% | 67.3–75.0 |
| Visited dentist or dental clinic in the past year among adults | 68.1% | 65.1–71.0 |
| Mammography use among women aged 50-74 years | 79.2% | 73.3–84.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.1% | 18.3–24.1 |
| Current cigarette smoking among adults | 14.5% | 12.3–16.8 |
| No leisure-time physical activity among adults | 27.3% | 23.7–31.1 |
| Short sleep duration among adults | 32.2% | 27.8–36.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.4% | 15.2–19.9 |
| Frequent mental distress among adults | 15.9% | 14.1–17.8 |
| Frequent physical distress among adults | 13.5% | 12.0–15.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.8% | 11.3–14.4 |
| Any disability among adults | 28.3% | 25.1–31.8 |
| Hearing disability among adults | 6.8% | 6.0–7.5 |
| Independent living disability among adults | 7.5% | 6.7–8.5 |
| Mobility disability among adults | 13.1% | 11.5–15.0 |
| Self-care disability among adults | 3.4% | 3.1–3.8 |
| Vision disability among adults | 4.1% | 3.7–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.6% | 17.1–22.4 |
| Food insecurity in the past 12 months among adults | 10.6% | 9.0–12.4 |
| Received food stamps in the past 12 months among adults | 10.7% | 9.1–12.5 |
| Housing insecurity in the past 12 months among adults | 8.7% | 7.4–10.0 |
| Lack of reliable transportation in the past 12 months among adults | 5.8% | 5.1–6.6 |
| Loneliness among adults | 31.1% | 27.5–34.9 |
| Utility services shut-off threat in the past 12 months among adults | 4.9% | 4.2–5.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.0% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 6.6% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 7.7% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 18.5% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 2.4% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 1.6% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 87.2% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 19.4% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 85.9% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 2.3% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.4% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 52.9% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 19.2% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 40.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $78,889 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $232,100 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $840 | $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 | 83.5 yr ± 0.98 | 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 0.98 years of 83.5, 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