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ZIP code

53551

in Lake Mills, WisconsinPopulation 9,731

ZipVitals Score
How is the ZipVitals Score calculated? →

61.52/ 100

Ranked #3,794 of 32,066 US ZIPs (top 11.9%)

Ranked #75 of 763 Wisconsin ZIPs (top 9.9%)

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.

Utility shut-off threat

4.3%

in the bottom 5.7% nationally

Lower is healthier

ST17th
US6th
Definition & source ›

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

Full methodology ›

Grocery access

0.22 per 1,000 residents

in the top 6.0% nationally

Higher is healthier

ST93rd
US94th
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 ›

Lack of transportation

5.1%

in the bottom 8.7% nationally

Lower is healthier

ST13th
US9th
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

Binge drinking

19.5%

in the top 8.3% nationally

Lower is healthier

ST67th
US92nd
Definition & 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 ›

Food insecurity

8.4%

in the bottom 9.2% nationally

Lower is healthier

ST11th
US9th
Definition & source ›

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

Full methodology ›

Pharmacy access

0.34 per 1,000 residents

in the top 11.3% nationally

Higher is healthier

ST95th
US89th
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 ›

Cognitive disability

10.9%

in the bottom 9.5% nationally

Lower is healthier

ST10th
US9th
Definition & source ›

The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.

Full methodology ›

High cholesterol

32.7%

in the bottom 8.5% nationally

Lower is healthier

ST11th
US8th
Definition & source ›

The estimated share of adults with high cholesterol, among those who have ever been screened for it.

Full methodology ›

High blood pressure

30%

in the bottom 11.1% nationally

Lower is healthier

ST8th
US11th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have high blood pressure.

Full methodology ›

Fair or poor health

14.5%

in the bottom 11.5% nationally

Lower is healthier

ST10th
US11th
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

The read

Overall, Lake Mills, Wisconsin (ZIP 53551) lands in the top 11.9% healthiest ZIPs nationally (3,794th) and the top 9.9% of Wisconsin (75th).

continue reading

The measures that set this area apart are worth putting up front: modeled utility shutoff stands in the bottom 5.7% nationally, and grocery lies in the top 6.0% nationally. Modeled transportation lands in the bottom 8.7% nationally, and food insecurity sits in the bottom 9.2% nationally. Modeled short sleep is in the bottom 10.1% nationally, pharmacy settles in the top 11.3% nationally, and modeled cognitive disability resides in the bottom 9.5% nationally. Modeled high cholesterol registers in the bottom 8.5% nationally, and housing insecurity rests in the bottom 12.3% nationally. Set against that, modeled binge drinking stands in the top 8.3% nationally.

Set beside the nearby areas, park land runs far higher than the surrounding ZIPs on this measure. For a healthier nearby comparison, ZIP 53589, about 7.2 miles away, ranks better 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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 78%

21%

Social Need / SDOH

healthier than 89%

16%

Environmental Hazard

healthier than 75%

14%

Preventive Care

healthier than 82%

13%

Risk Behavior

healthier than 67%

11%

Mental Health

healthier than 76%

8%

Disability

healthier than 87%

7%

About typical

Healthcare Access

healthier than 51%

5%

Holding it back

Climate / Disaster Risk

healthier than 36%

5%

Lifting this score

Chronic Disease Burden

healthier than 87%

21%

Social Need / SDOH

healthier than 90%

16%

Environmental Hazard

healthier than 80%

14%

Preventive Care

healthier than 68%

13%

Risk Behavior

healthier than 85%

11%

Mental Health

healthier than 82%

8%

Disability

healthier than 91%

7%

Healthcare Access

healthier than 71%

5%

Holding it back

Climate / Disaster Risk

healthier than 7%

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.

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 adults25.7%22.8–28.9
High blood pressure among adults30.0%26.5–33.7
Cancer (non-skin) or melanoma among adults9.0%8.2–9.9
Current asthma among adults10.7%9.5–12.0
Coronary heart disease among adults5.8%5.2–6.6
Chronic obstructive pulmonary disease among adults5.5%4.6–6.5
Depression among adults22.4%19.3–25.8
Diagnosed diabetes among adults9.7%8.4–11.3
High cholesterol among adults who have ever been screened32.7%29.1–36.5
Obesity among adults39.8%33.6–46.2
Stroke among adults2.9%2.5–3.2
All teeth lost among adults aged >=65 years7.4%5.9–9.1
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years6.2%5.0–7.8
Taking medicine to control high blood pressure among adults with high blood pressure77.3%74.2–80.0
Visits to doctor for routine checkup within the past year among adults77.1%73.7–80.4
Cholesterol screening among adults87.8%86.0–89.5
Colorectal cancer screening among adults aged 45–75 years69.8%65.3–74.2
Visited dentist or dental clinic in the past year among adults73.5%70.4–76.4
Mammography use among women aged 50-74 years80.0%73.6–85.7
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults19.5%16.5–22.9
Current cigarette smoking among adults11.9%9.6–14.3
No leisure-time physical activity among adults24.3%20.1–28.8
Short sleep duration among adults30.1%25.1–35.7
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults14.5%12.2–17.1
Frequent mental distress among adults14.3%12.3–16.2
Frequent physical distress among adults11.9%10.3–13.7
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults10.9%9.2–12.7
Any disability among adults25.3%21.5–29.3
Hearing disability among adults6.3%5.5–7.1
Independent living disability among adults6.5%5.5–7.5
Mobility disability among adults11.2%9.4–13.1
Self-care disability among adults2.8%2.4–3.3
Vision disability among adults3.4%3.0–3.9
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults18.1%15.4–21.2
Food insecurity in the past 12 months among adults8.4%6.7–10.4
Received food stamps in the past 12 months among adults8.3%6.6–10.3
Housing insecurity in the past 12 months among adults7.6%6.2–9.2
Lack of reliable transportation in the past 12 months among adults5.1%4.3–6.0
Loneliness among adults29.0%24.9–33.6
Utility services shut-off threat in the past 12 months among adults4.3%3.6–5.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WI median (p10–p90)
Poverty rate5.5%10.6% (3.1–25.8%) n=32,3648.5% (3.6–16.0%) n=765
Uninsured 18–641.9%9.0% (1.5–24.3%) n=32,2866.7% (2.4–14.9%) n=764
No HS diploma (25+)4.3%7.9% (1.8–20.7%) n=32,5055.9% (2.3–12.6%) n=768
Bachelor's or higher (25+)45.3%23.3% (9.2–53.6%) n=32,50523.5% (12.7–44.0%) n=768
Unemployment rate (16+)2.1%3.9% (0.0–9.8%) n=32,2742.6% (0.9–5.6%) n=763
Households without a vehicle2.6%3.9% (0.0–12.5%) n=32,3223.6% (0.8–9.0%) n=764
Broadband subscription92.5%89.3% (75.1–97.1%) n=32,32288.8% (80.0–94.8%) n=764
Housing cost burden (≥30% income)21.8%23.7% (10.6–40.0%) n=32,32221.8% (14.7–29.1%) n=764
Homeownership rate74.5%78.7% (51.7–94.0%) n=32,32281.3% (62.1–91.8%) n=764
Crowded housing (>1 per room)0.8%1.3% (0.0–6.3%) n=32,3221.1% (0.0–3.7%) n=764
Foreign-born population2.4%2.6% (0.0–18.6%) n=32,5531.9% (0.3–6.8%) n=768
Single-parent households57.3%53.6% (37.3–74.1%) n=32,08759.0% (47.7–72.8%) n=762
Population 65+18.0%19.4% (10.8–33.6%) n=32,55320.4% (13.9–32.2%) n=768
Median age41.0 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (36.2–56.1) n=765
Median household income$94,401$72,070 ($46,039–$118,707) n=30,318$75,147 ($57,542–$101,625) n=755
Median home value$357,400$222,200 ($100,300–$579,820) n=30,049$231,900 ($160,140–$367,300) n=755
Median gross rent$1,201$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 birth81.6 yr ± 1.6578.9 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 1.65 years of 81.6, 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