ZIP code
53168
in Salem, WisconsinPopulation 9,036
57.20/ 100
Ranked #7,079 of 32,066 US ZIPs (top 22%)
Ranked #191 of 763 Wisconsin ZIPs (top 25%)
Ranked #3 of 11 Kenosha, WI ZIPs (top 27%)
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
20.7%
in the top 3.9% nationally
Lower is healthier
ST88thUS96thDefinition & 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 ›Mental-health provider access
0.12 per 1,000 residents
in the top 9.3% nationally
Higher is healthier
ST94thUS91stDefinition & source ›
The number of mental-health clinics located 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 ›Mammography
81%
in the top 6.7% nationally
Higher is healthier
ST79thUS93rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Utility shut-off threat
4.7%
in the bottom 9.7% nationally
Lower is healthier
ST33rdUS10thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›PFAS in drinking water
47.8%
in the top 15.0% nationally
Lower is healthier
ST91stUS85thDefinition & 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 ›Outer-floodplain exposure
1.5%
in the top 19% nationally
Lower is healthier
ST91stUS81stDefinition & 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 overall standing, Salem, Wisconsin (ZIP 53168) comes out in the top 22% healthiest ZIPs nationally (7,079th) and the top 25% of Wisconsin (191st).
The data is generous to this ZIP in several places worth naming: mental-health providers sits in the top 9.3% nationally, modeled mammography settles in the top 6.7% nationally, and modeled utility shutoff registers in the bottom 9.7% nationally. Elder services stands in the top 13.3% nationally, modeled high cholesterol lands in the bottom 11.8% nationally, and grocery is in the top 17% nationally. Working the other way, modeled binge drinking resides in the top 3.9% nationally, and expected annual loss rests in the top 11.9% nationally. Modeled pfas lies in the top 15.0% nationally, and distance to a Superfund site sits in the bottom 16% nationally.
In plain terms, 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. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. The nearest healthier ZIP overall is ZIP 53104, just across the boundary.
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 Kenosha, 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 72%
21%
Social Need / SDOH
healthier than 85%
16%
Preventive Care
healthier than 76%
13%
Disability
healthier than 80%
7%
Climate / Disaster Risk
healthier than 69%
5%
About typical
Environmental Hazard
healthier than 55%
14%
Mental Health
healthier than 44%
8%
Healthcare Access
healthier than 60%
5%
Holding it back
Risk Behavior
healthier than 36%
11%
Lifting this score
Chronic Disease Burden
healthier than 79%
21%
Social Need / SDOH
healthier than 84%
16%
Disability
healthier than 81%
7%
Healthcare Access
healthier than 78%
5%
About typical
Environmental Hazard
healthier than 51%
14%
Preventive Care
healthier than 52%
13%
Risk Behavior
healthier than 43%
11%
Holding it back
Mental Health
healthier than 19%
8%
Climate / Disaster Risk
healthier than 38%
5%
Lifting this score
Chronic Disease Burden
healthier than 67%
21%
Social Need / SDOH
healthier than 67%
16%
Environmental Hazard
healthier than 78%
14%
Preventive Care
healthier than 78%
13%
Risk Behavior
healthier than 67%
11%
Disability
healthier than 78%
7%
Climate / Disaster Risk
healthier than 67%
5%
About typical
Mental Health
healthier than 44%
8%
Healthcare Access
healthier than 56%
5%
Nothing measured is holding this score back.
“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
53104
Wisconsinshares a border
Score 60.30
Closest healthier
53139
Wisconsinshares a border
Score 59.40
Similar health profile
52233
Iowa98% similar profile
Score 55.93
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 | 27.9% | 24.8–31.2 |
| High blood pressure among adults | 32.4% | 28.8–36.2 |
| Cancer (non-skin) or melanoma among adults | 8.5% | 7.6–9.4 |
| Current asthma among adults | 11.2% | 9.8–12.7 |
| Coronary heart disease among adults | 5.9% | 5.2–6.7 |
| Chronic obstructive pulmonary disease among adults | 6.2% | 5.3–7.2 |
| Depression among adults | 25.3% | 21.8–29.0 |
| Diagnosed diabetes among adults | 10.3% | 8.8–12.0 |
| High cholesterol among adults who have ever been screened | 33.6% | 29.8–37.5 |
| Obesity among adults | 39.0% | 33.3–44.9 |
| Stroke among adults | 3.0% | 2.7–3.3 |
| All teeth lost among adults aged >=65 years | 8.4% | 6.8–10.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.0% | 5.7–8.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.8% | 73.3–80.0 |
| Visits to doctor for routine checkup within the past year among adults | 76.6% | 73.0–80.0 |
| Cholesterol screening among adults | 87.0% | 85.1–88.7 |
| Colorectal cancer screening among adults aged 45–75 years | 70.0% | 66.0–73.8 |
| Visited dentist or dental clinic in the past year among adults | 69.2% | 66.2–72.0 |
| Mammography use among women aged 50-74 years | 81.0% | 75.2–85.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.7% | 17.4–24.4 |
| Current cigarette smoking among adults | 14.5% | 12.2–17.2 |
| No leisure-time physical activity among adults | 24.4% | 20.5–28.7 |
| Short sleep duration among adults | 33.7% | 29.5–38.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.4% | 13.9–19.0 |
| Frequent mental distress among adults | 15.9% | 13.8–18.2 |
| Frequent physical distress among adults | 12.6% | 10.9–14.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.6% | 10.8–14.5 |
| Any disability among adults | 28.0% | 24.3–32.2 |
| Hearing disability among adults | 6.2% | 5.4–7.1 |
| Independent living disability among adults | 7.2% | 6.2–8.2 |
| Mobility disability among adults | 12.0% | 10.2–14.0 |
| Self-care disability among adults | 3.2% | 2.8–3.6 |
| Vision disability among adults | 3.8% | 3.4–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.2% | 17.1–23.1 |
| Food insecurity in the past 12 months among adults | 9.8% | 8.0–11.5 |
| Received food stamps in the past 12 months among adults | 10.1% | 8.5–11.9 |
| Housing insecurity in the past 12 months among adults | 8.8% | 7.4–10.2 |
| Lack of reliable transportation in the past 12 months among adults | 5.8% | 5.0–6.7 |
| Loneliness among adults | 29.8% | 25.5–33.7 |
| Utility services shut-off threat in the past 12 months among adults | 4.7% | 4.0–5.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.7% | 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+) | 27.8% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 3.0% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 2.7% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 92.2% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 22.0% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 80.3% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.9% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 2.7% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 66.4% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 18.2% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 46.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $97,035 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $300,200 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,303 | $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 | 79.5 yr ± 0.86 | 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 0.86 years of 79.5, 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