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ZipVitals

ZIP code

53594

in Waterloo, WisconsinPopulation 5,199

54.75/ 100

Ranked #9,767 of 32,066 US ZIPs (top 30%)

Ranked #313 of 763 Wisconsin ZIPs (top 41%)

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

0.38 per 1,000 residents

in the top 2.6% nationally

Higher is healthier

ST96th
US97th
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 ›

Floodplain exposure

23.1%

in the top 14.6% nationally

Lower is healthier

ST92nd
US85th
Definition & 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 ›

Crowded housing

4.4%

in the top 16% nationally

Lower is healthier

ST93rd
US84th
Definition & source ›

The share of occupied homes with more than one person per room, the Census definition of crowded housing.

Full methodology ›

Unemployment rate

0.78%

in the bottom 17% nationally

Lower is healthier

ST9th
US17th
Definition & source ›

The share of the civilian labor force that is unemployed.

Full methodology ›

The read

In overall standing, Waterloo, Wisconsin (ZIP 53594) comes out in the top 30% healthiest ZIPs nationally (9,767th) and the top 41% of Wisconsin (313th).

continue reading

Several readings land clearly in this area's favor and shape the picture: grocery sits in the top 2.6% nationally, modeled high cholesterol settles in the bottom 12.2% nationally, and unemployment registers in the bottom 17% nationally. Modeled pfas stands in the bottom 19% nationally. Set against that, modeled binge drinking lands in the top 12.7% nationally, and floodplain exposure is in the top 14.6% nationally. Distance to a hazardous-chemical facility resides at the national minimum, shared with about 31% of ZIPs. Modeled obesity rests in the top 13.4% nationally, and crowded housing lies in the top 16% nationally. Recreation sits at the national minimum, shared with about 35% of ZIPs.

In plain terms, distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. 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. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". The nearest healthier ZIP overall is ZIP 53523, 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

Chronic Disease Burden

healthier than 68%

21%

Social Need / SDOH

healthier than 67%

16%

Environmental Hazard

healthier than 61%

14%

Mental Health

healthier than 64%

8%

Disability

healthier than 70%

7%

About typical

Preventive Care

healthier than 55%

13%

Risk Behavior

healthier than 41%

11%

Holding it back

Climate / Disaster Risk

healthier than 36%

5%

Healthcare Access

healthier than 29%

5%

Lifting this score

Chronic Disease Burden

healthier than 71%

21%

Mental Health

healthier than 61%

8%

Disability

healthier than 63%

7%

About typical

Social Need / SDOH

healthier than 56%

16%

Environmental Hazard

healthier than 59%

14%

Risk Behavior

healthier than 52%

11%

Holding it back

Preventive Care

healthier than 18%

13%

Climate / Disaster Risk

healthier than 7%

5%

Healthcare Access

healthier than 38%

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 adults26.6%24.1–29.2
High blood pressure among adults31.9%28.9–35.0
Cancer (non-skin) or melanoma among adults8.6%7.9–9.4
Current asthma among adults10.8%9.7–12.0
Coronary heart disease among adults6.6%5.9–7.3
Chronic obstructive pulmonary disease among adults6.7%5.8–7.6
Depression among adults22.7%20.0–25.7
Diagnosed diabetes among adults11.1%9.8–12.6
High cholesterol among adults who have ever been screened33.7%30.6–36.9
Obesity among adults41.9%36.6–47.4
Stroke among adults3.3%3.0–3.6
All teeth lost among adults aged >=65 years9.0%7.6–10.6
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years8.9%7.3–10.7
Taking medicine to control high blood pressure among adults with high blood pressure77.6%75.0–79.9
Visits to doctor for routine checkup within the past year among adults76.6%73.6–79.5
Cholesterol screening among adults85.9%84.1–87.6
Colorectal cancer screening among adults aged 45–75 years65.9%62.0–70.0
Visited dentist or dental clinic in the past year among adults67.1%64.3–70.0
Mammography use among women aged 50-74 years77.8%72.2–82.9
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults18.8%16.2–21.7
Current cigarette smoking among adults14.2%12.1–16.5
No leisure-time physical activity among adults28.8%24.9–32.7
Short sleep duration among adults32.9%28.5–37.8
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults17.9%15.6–20.2
Frequent mental distress among adults15.5%13.9–17.2
Frequent physical distress among adults13.5%12.0–15.1
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults12.9%11.4–14.5
Any disability among adults29.3%25.8–32.9
Hearing disability among adults7.0%6.3–7.7
Independent living disability among adults7.8%6.9–8.9
Mobility disability among adults13.4%11.6–15.2
Self-care disability among adults3.5%3.1–4.0
Vision disability among adults4.4%3.9–4.9
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults20.0%17.3–22.9
Food insecurity in the past 12 months among adults11.8%9.7–14.0
Received food stamps in the past 12 months among adults11.8%9.7–13.9
Housing insecurity in the past 12 months among adults9.8%8.3–11.4
Lack of reliable transportation in the past 12 months among adults6.5%5.6–7.4
Loneliness among adults30.5%26.8–34.5
Utility services shut-off threat in the past 12 months among adults5.4%4.6–6.3
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WI median (p10–p90)
Poverty rate13.6%10.6% (3.1–25.8%) n=32,3648.5% (3.6–16.0%) n=765
Uninsured 18–648.6%9.0% (1.5–24.3%) n=32,2866.7% (2.4–14.9%) n=764
No HS diploma (25+)7.5%7.9% (1.8–20.7%) n=32,5055.9% (2.3–12.6%) n=768
Bachelor's or higher (25+)23.2%23.3% (9.2–53.6%) n=32,50523.5% (12.7–44.0%) n=768
Unemployment rate (16+)0.8%3.9% (0.0–9.8%) n=32,2742.6% (0.9–5.6%) n=763
Households without a vehicle3.9%3.9% (0.0–12.5%) n=32,3223.6% (0.8–9.0%) n=764
Broadband subscription87.1%89.3% (75.1–97.1%) n=32,32288.8% (80.0–94.8%) n=764
Housing cost burden (≥30% income)25.5%23.7% (10.6–40.0%) n=32,32221.8% (14.7–29.1%) n=764
Homeownership rate73.8%78.7% (51.7–94.0%) n=32,32281.3% (62.1–91.8%) n=764
Crowded housing (>1 per room)4.4%1.3% (0.0–6.3%) n=32,3221.1% (0.0–3.7%) n=764
Foreign-born population4.3%2.6% (0.0–18.6%) n=32,5531.9% (0.3–6.8%) n=768
Single-parent households59.6%53.6% (37.3–74.1%) n=32,08759.0% (47.7–72.8%) n=762
Population 65+17.7%19.4% (10.8–33.6%) n=32,55320.4% (13.9–32.2%) n=768
Median age39.2 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (36.2–56.1) n=765
Median household income$88,390$72,070 ($46,039–$118,707) n=30,318$75,147 ($57,542–$101,625) n=755
Median home value$244,200$222,200 ($100,300–$579,820) n=30,049$231,900 ($160,140–$367,300) n=755
Median gross rent$1,124$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 birth81.1 yr ± 0.8278.9 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 0.82 years of 81.1, 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