ZIP code
54773
in Whitehall, WisconsinPopulation 3,542
48.27/ 100
Ranked #18,585 of 32,066 US ZIPs (bottom 42%)
Ranked #644 of 763 Wisconsin ZIPs (bottom 16%)
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.
Mental-health provider access
0.6 per 1,000 residents
in the top 0.6% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Outpatient-care access
0.91 per 1,000 residents
in the top 2.4% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of outpatient 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 ›Elder-services access
0.3 per 1,000 residents
in the top 4.5% nationally
Higher is healthier
ST96thUS96thDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Nitrate in drinking water
0.20%
in the top 7.9% nationally
Lower is healthier
ST85thUS92ndDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams 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 ›Transportation noise
8.3%
in the top 11.4% nationally
Lower is healthier
ST93rdUS89thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Obesity
42.9%
in the top 9.4% nationally
Lower is healthier
ST88thUS91stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Pharmacy access
0.3 per 1,000 residents
in the top 13.8% nationally
Higher is healthier
ST93rdUS86thDefinition & 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 ›Home broadband subscription
79.2%
in the bottom 15% nationally
Higher is healthier
ST8thUS15thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›The read
Whitehall, Wisconsin (ZIP 54773), by its composite score, sits in the bottom 42% nationally (18,585th) and the bottom 16% of Wisconsin (644th).
The data opens on real and measurable burdens: modeled nitrate settles in the top 7.9% nationally, and transportation noise sits in the top 11.4% nationally. Modeled obesity lies in the top 9.4% nationally, and binge drinking rests in the top 13.4% nationally. Home broadband subscription resides in the bottom 15% nationally. More encouragingly, mental-health providers is in the top 0.6% nationally, outpatient lands in the top 2.4% nationally, and elder services stands in the top 4.5% nationally. Distance to a nursing home registers at the national minimum, shared with about 27% of ZIPs. Pharmacy settles in the top 13.8% nationally.
Next to the surrounding area, mental-health providers runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. For a healthier comparison close by, see ZIP 54616, 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.
Lifting this score
Climate / Disaster Risk
healthier than 71%
5%
About typical
Social Need / SDOH
healthier than 59%
16%
Environmental Hazard
healthier than 53%
14%
Preventive Care
healthier than 51%
13%
Mental Health
healthier than 45%
8%
Holding it back
Chronic Disease Burden
healthier than 39%
21%
Risk Behavior
healthier than 13%
11%
Disability
healthier than 35%
7%
Healthcare Access
healthier than 34%
5%
Nothing measured is lifting this score.
About typical
Social Need / SDOH
healthier than 44%
16%
Environmental Hazard
healthier than 48%
14%
Climate / Disaster Risk
healthier than 44%
5%
Healthcare Access
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 28%
21%
Preventive Care
healthier than 15%
13%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 21%
8%
Disability
healthier than 14%
7%
“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
54616
Wisconsinshares a border
Score 52.74
Closest healthier
54747
Wisconsinshares a border
Score 49.88
Similar health profile
17250
Pennsylvania97% similar profile
Score 47.95
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 | 30.6% | 27.3–34.0 |
| High blood pressure among adults | 37.2% | 33.3–41.3 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.4–10.3 |
| Current asthma among adults | 11.0% | 9.7–12.3 |
| Coronary heart disease among adults | 8.3% | 7.4–9.3 |
| Chronic obstructive pulmonary disease among adults | 8.9% | 7.8–10.2 |
| Depression among adults | 23.8% | 20.5–27.4 |
| Diagnosed diabetes among adults | 13.4% | 11.6–15.4 |
| High cholesterol among adults who have ever been screened | 36.5% | 32.3–40.7 |
| Obesity among adults | 42.9% | 35.6–50.4 |
| Stroke among adults | 4.2% | 3.8–4.7 |
| All teeth lost among adults aged >=65 years | 11.8% | 9.5–14.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.3% | 8.5–12.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.7% | 75.8–81.4 |
| Visits to doctor for routine checkup within the past year among adults | 77.4% | 73.7–80.7 |
| Cholesterol screening among adults | 84.6% | 82.4–86.5 |
| Colorectal cancer screening among adults aged 45–75 years | 66.4% | 61.6–70.9 |
| Visited dentist or dental clinic in the past year among adults | 63.2% | 59.6–66.6 |
| Mammography use among women aged 50-74 years | 78.8% | 71.9–84.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.7% | 15.5–22.0 |
| Current cigarette smoking among adults | 18.2% | 15.6–21.3 |
| No leisure-time physical activity among adults | 32.1% | 27.4–37.2 |
| Short sleep duration among adults | 35.6% | 29.5–42.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.5% | 18.7–24.7 |
| Frequent mental distress among adults | 16.8% | 14.9–18.8 |
| Frequent physical distress among adults | 15.7% | 13.9–17.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.2% | 13.4–17.3 |
| Any disability among adults | 34.0% | 29.8–38.6 |
| Hearing disability among adults | 8.7% | 7.7–9.8 |
| Independent living disability among adults | 9.8% | 8.7–11.2 |
| Mobility disability among adults | 17.0% | 14.8–19.5 |
| Self-care disability among adults | 4.6% | 4.1–5.2 |
| Vision disability among adults | 5.8% | 5.1–6.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.9% | 17.9–24.5 |
| Food insecurity in the past 12 months among adults | 15.2% | 12.7–18.1 |
| Received food stamps in the past 12 months among adults | 16.7% | 14.1–19.6 |
| Housing insecurity in the past 12 months among adults | 11.2% | 9.5–13.2 |
| Lack of reliable transportation in the past 12 months among adults | 7.9% | 6.9–9.1 |
| Loneliness among adults | 29.2% | 24.6–34.1 |
| Utility services shut-off threat in the past 12 months among adults | 6.6% | 5.6–7.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.6% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 11.4% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 12.9% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 14.6% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.8% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 8.6% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 79.2% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 25.2% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 74.5% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 2.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 3.3% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 50.0% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 20.1% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 39.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $72,232 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $179,300 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $829 | $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 | 79.6 yr ± 1.29 | 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 1.29 years of 79.6, 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