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ZipVitals

ZIP code

54558

in Saint Germain, WisconsinPopulation 2,262

55.86/ 100

Ranked #8,431 of 32,066 US ZIPs (top 26%)

Ranked #257 of 763 Wisconsin ZIPs (top 34%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Grocery access

0.45 per 1,000 residents

in the top 1.9% nationally

Higher is healthier

ST97th
US98th
Definition & 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 ›

Short sleep

26.9%

in the bottom 1.4% nationally

Lower is healthier

ST2nd
US1st
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Utility shut-off threat

3.9%

in the bottom 3.3% nationally

Lower is healthier

ST8th
US3rd
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Loneliness

27.3%

in the bottom 4.1% nationally

Lower is healthier

ST7th
US4th
Definition & source ›

The estimated share of adults who report feeling lonely.

Full methodology ›

Housing insecurity

6.5%

in the bottom 4.4% nationally

Lower is healthier

ST6th
US4th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Colon-cancer screening

74.6%

in the top 3.7% nationally

Higher is healthier

ST94th
US96th
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Humid extreme heat

9.1 days/year

in the bottom 6.2% nationally

Lower is healthier

ST2nd
US6th
Definition & 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 ›

Pharmacy access

0.45 per 1,000 residents

in the top 6.3% nationally

Higher is healthier

ST98th
US94th
Definition & source ›

The number of pharmacies 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 ›

Coronary heart disease

10.5%

in the top 6.5% nationally

Lower is healthier

ST96th
US94th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.

Full methodology ›

Air-toxics cancer risk

18.7 per million

in the bottom 7.0% nationally

Lower is healthier

ST6th
US7th
Definition & 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 ›

The read

Saint Germain, Wisconsin (ZIP 54558), on the composite measure, lands in the top 26% healthiest ZIPs nationally (8,431st) and the top 34% of Wisconsin (257th).

continue reading

The profile cuts both ways, and the readings bear that out: grocery settles in the top 1.9% nationally, modeled short sleep stands in the bottom 1.4% nationally, and modeled utility shutoff is in the bottom 3.3% nationally. Modeled loneliness rests in the bottom 4.1% nationally, housing insecurity sits in the bottom 4.4% nationally, and colon screening registers in the top 3.7% nationally. Modeled humid heat lands in the bottom 6.2% nationally, and pharmacy resides in the top 6.3% nationally. Modeled air-toxics cancer risk lies in the bottom 7.0% nationally. Working the other way, modeled coronary heart disease settles in the top 6.5% nationally.

In everyday language, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. A healthier neighbor overall sits at ZIP 54560, 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.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Social Need / SDOH

healthier than 80%

16%

Environmental Hazard

healthier than 73%

14%

Preventive Care

healthier than 97%

13%

Risk Behavior

healthier than 83%

11%

Mental Health

healthier than 87%

8%

Climate / Disaster Risk

healthier than 78%

5%

About typical

Disability

healthier than 46%

7%

Holding it back

Chronic Disease Burden

healthier than 16%

21%

Healthcare Access

healthier than 29%

5%

Lifting this score

Social Need / SDOH

healthier than 77%

16%

Environmental Hazard

healthier than 77%

14%

Preventive Care

healthier than 96%

13%

Risk Behavior

healthier than 96%

11%

Mental Health

healthier than 95%

8%

Climate / Disaster Risk

healthier than 61%

5%

Holding it back

Chronic Disease Burden

healthier than 4%

21%

Disability

healthier than 27%

7%

Healthcare Access

healthier than 37%

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 ›

Findings that name this ZIP

One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.

  • Clean environment, heavy chronic burden

    Where the environment and chronic illness point in opposite directions

    Environmental-hazard standing 72.9; chronic-disease standing 15.5 — 57 points apart, cleaner on the environment than it is on chronic illness.

    Ranked #1,921 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.

Nearby & similar ZIPs

Editorially selected — see how this ZIP compares to nearby and similar places.

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
MeasureCrude prevalence95% CI
Arthritis among adults37.4%34.0–40.9
High blood pressure among adults44.3%40.5–48.2
Cancer (non-skin) or melanoma among adults13.9%12.7–15.2
Current asthma among adults10.5%9.4–11.8
Coronary heart disease among adults10.5%9.4–11.7
Chronic obstructive pulmonary disease among adults8.9%7.6–10.2
Depression among adults21.6%18.7–24.8
Diagnosed diabetes among adults14.5%12.8–16.5
High cholesterol among adults who have ever been screened43.9%40.1–48.0
Obesity among adults37.0%31.3–43.0
Stroke among adults4.9%4.3–5.4
All teeth lost among adults aged >=65 years10.5%8.6–12.6
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years6.2%5.1–7.6
Taking medicine to control high blood pressure among adults with high blood pressure84.9%82.6–87.2
Visits to doctor for routine checkup within the past year among adults82.7%80.1–85.2
Cholesterol screening among adults91.4%90.3–92.5
Colorectal cancer screening among adults aged 45–75 years74.6%70.7–78.2
Visited dentist or dental clinic in the past year among adults68.5%65.4–71.3
Mammography use among women aged 50-74 years81.2%75.6–86.1
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.9%12.6–17.6
Current cigarette smoking among adults13.1%10.9–15.4
No leisure-time physical activity among adults29.5%25.4–33.9
Short sleep duration among adults26.9%22.6–31.5
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults19.0%16.3–21.7
Frequent mental distress among adults12.7%11.2–14.3
Frequent physical distress among adults15.1%13.3–17.0
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults11.1%9.7–12.6
Any disability among adults33.8%30.0–38.0
Hearing disability among adults10.7%9.6–11.9
Independent living disability among adults8.2%7.1–9.3
Mobility disability among adults17.7%15.4–20.3
Self-care disability among adults4.1%3.6–4.7
Vision disability among adults4.9%4.3–5.5
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults17.5%15.0–20.1
Food insecurity in the past 12 months among adults9.0%7.4–10.9
Received food stamps in the past 12 months among adults9.7%7.9–11.7
Housing insecurity in the past 12 months among adults6.5%5.4–7.6
Lack of reliable transportation in the past 12 months among adults5.0%4.3–5.7
Loneliness among adults27.3%23.8–31.2
Utility services shut-off threat in the past 12 months among adults3.9%3.2–4.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WI median (p10–p90)
Poverty rate10.5%10.6% (3.1–25.8%) n=32,3648.5% (3.6–16.0%) n=765
Uninsured 18–646.3%9.0% (1.5–24.3%) n=32,2866.7% (2.4–14.9%) n=764
No HS diploma (25+)3.0%7.9% (1.8–20.7%) n=32,5055.9% (2.3–12.6%) n=768
Bachelor's or higher (25+)24.6%23.3% (9.2–53.6%) n=32,50523.5% (12.7–44.0%) n=768
Unemployment rate (16+)5.6%3.9% (0.0–9.8%) n=32,2742.6% (0.9–5.6%) n=763
Households without a vehicle1.8%3.9% (0.0–12.5%) n=32,3223.6% (0.8–9.0%) n=764
Broadband subscription87.9%89.3% (75.1–97.1%) n=32,32288.8% (80.0–94.8%) n=764
Housing cost burden (≥30% income)26.8%23.7% (10.6–40.0%) n=32,32221.8% (14.7–29.1%) n=764
Homeownership rate80.2%78.7% (51.7–94.0%) n=32,32281.3% (62.1–91.8%) n=764
Crowded housing (>1 per room)1.0%1.3% (0.0–6.3%) n=32,3221.1% (0.0–3.7%) n=764
Foreign-born population1.1%2.6% (0.0–18.6%) n=32,5531.9% (0.3–6.8%) n=768
Single-parent households71.3%53.6% (37.3–74.1%) n=32,08759.0% (47.7–72.8%) n=762
Population 65+33.7%19.4% (10.8–33.6%) n=32,55320.4% (13.9–32.2%) n=768
Median age58.1 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (36.2–56.1) n=765
Median household income$59,718$72,070 ($46,039–$118,707) n=30,318$75,147 ($57,542–$101,625) n=755
Median home value$261,000$222,200 ($100,300–$579,820) n=30,049$231,900 ($160,140–$367,300) n=755
Median gross rent$897$1,021 ($677–$1,912) n=25,670$914 ($696–$1,261) n=706
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)WI median (p10–p90)
Life expectancy at birth78.4 yr ± 0.9378.9 yr (74.7–82.8) n=31,30880.4 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 0.93 years of 78.4, and it’s very unlikely to be off by more than twice that.

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