ZIP code
54555
in Phillips, WisconsinPopulation 4,728
51.12/ 100
Ranked #14,646 of 32,066 US ZIPs (top 46%)
Ranked #518 of 763 Wisconsin ZIPs (bottom 32%)
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.
Grocery access
0.41 per 1,000 residents
in the top 2.3% nationally
Higher is healthier
ST97thUS98thDefinition & 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 ›Elder-services access
0.41 per 1,000 residents
in the top 3.1% nationally
Higher is healthier
ST98thUS97thDefinition & 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 ›Park land
21.9%
in the top 6.4% nationally
Higher is healthier
ST95thUS94thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Loneliness
27.8%
in the bottom 6.4% nationally
Lower is healthier
ST11thUS6thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Air-toxics cancer risk
19.1 per million
in the bottom 7.2% nationally
Lower is healthier
ST6thUS7thDefinition & 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 ›Humid extreme heat
11.2 days/year
in the bottom 8.3% nationally
Lower is healthier
ST9thUS8thDefinition & 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 ›Fine-particle (PM2.5) exceedance
0.86%
in the top 10.0% nationally
Lower is healthier
ST90thUS90thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Distance to a Superfund site
50.4 mi
in the top 12.2% nationally
Higher is healthier
ST96thUS88thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Dry extreme heat
0.3 days/year
in the bottom 28% nationally
Lower is healthier
ST8thUS28thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
Phillips, Wisconsin (ZIP 54555), by its overall standing, sits in the top 46% healthiest ZIPs nationally (14,646th) and the bottom 32% of Wisconsin (518th), based on limited data; treat as directional.
The measures fall on both sides of the ledger for this area: grocery rests in the top 2.3% nationally, elder services lies in the top 3.1% nationally, and park land sits in the top 6.4% nationally. Modeled loneliness settles in the bottom 6.4% nationally, air-toxics cancer risk registers in the bottom 7.2% nationally, and humid heat stands in the bottom 8.3% nationally. Distance to a Superfund site lands in the top 12.2% nationally, and recreation is in the top 13.2% nationally. Set against that, modeled fine-particle resides in the top 10.0% nationally, and obesity rests in the top 12.5% nationally.
Held up against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. Defined in plain terms, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. The nearest ZIP ranking healthier overall is ZIP 54513, 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
Preventive Care
healthier than 80%
13%
Mental Health
healthier than 72%
8%
Climate / Disaster RiskPartial
in the top 0.2%
5%
About typical
Social Need / SDOH
healthier than 52%
16%
Environmental Hazard
healthier than 56%
14%
Disability
healthier than 41%
7%
Holding it back
Chronic Disease Burden
healthier than 26%
21%
Risk Behavior
healthier than 33%
11%
Healthcare Access
healthier than 31%
5%
Lifting this score
Preventive Care
healthier than 62%
13%
Mental Health
healthier than 78%
8%
Climate / Disaster RiskPartial
in the top 0.00%
5%
About typical
Environmental Hazard
healthier than 53%
14%
Healthcare Access
healthier than 42%
5%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Social Need / SDOH
healthier than 35%
16%
Risk Behavior
healthier than 39%
11%
Disability
healthier than 21%
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
54513
Wisconsinshares a border
Score 51.58
Closest healthier
54524
Wisconsinshares a border
Score 54.44
Similar health profile
16401
Pennsylvania99% similar profile
Score 50.68
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 | 33.6% | 30.3–37.1 |
| High blood pressure among adults | 39.1% | 35.2–43.3 |
| Cancer (non-skin) or melanoma among adults | 11.2% | 10.2–12.2 |
| Current asthma among adults | 10.9% | 9.7–12.3 |
| Coronary heart disease among adults | 9.2% | 8.2–10.2 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 7.9–10.2 |
| Depression among adults | 22.3% | 19.2–25.6 |
| Diagnosed diabetes among adults | 14.2% | 12.4–16.2 |
| High cholesterol among adults who have ever been screened | 39.1% | 35.1–43.3 |
| Obesity among adults | 42.1% | 35.6–48.8 |
| Stroke among adults | 4.5% | 4.1–5.0 |
| All teeth lost among adults aged >=65 years | 12.4% | 10.1–15.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.3% | 6.1–8.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.0% | 80.3–85.4 |
| Visits to doctor for routine checkup within the past year among adults | 80.8% | 77.7–83.7 |
| Cholesterol screening among adults | 88.3% | 86.7–89.7 |
| Colorectal cancer screening among adults aged 45–75 years | 69.2% | 64.3–73.6 |
| Visited dentist or dental clinic in the past year among adults | 64.5% | 61.0–68.0 |
| Mammography use among women aged 50-74 years | 75.5% | 67.9–82.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.7% | 14.0–19.9 |
| Current cigarette smoking among adults | 16.1% | 13.8–18.7 |
| No leisure-time physical activity among adults | 30.6% | 26.2–35.2 |
| Short sleep duration among adults | 35.1% | 29.0–41.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.6% | 17.9–23.4 |
| Frequent mental distress among adults | 14.8% | 13.0–16.7 |
| Frequent physical distress among adults | 15.4% | 13.6–17.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.9% | 11.3–14.6 |
| Any disability among adults | 32.0% | 28.1–36.2 |
| Hearing disability among adults | 9.4% | 8.4–10.6 |
| Independent living disability among adults | 9.1% | 8.0–10.2 |
| Mobility disability among adults | 17.2% | 14.9–19.5 |
| Self-care disability among adults | 4.5% | 4.0–5.0 |
| Vision disability among adults | 5.3% | 4.7–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.8% | 15.9–21.6 |
| Food insecurity in the past 12 months among adults | 11.9% | 10.0–13.9 |
| Received food stamps in the past 12 months among adults | 13.5% | 11.4–15.5 |
| Housing insecurity in the past 12 months among adults | 8.6% | 7.3–10.0 |
| Lack of reliable transportation in the past 12 months among adults | 6.4% | 5.6–7.3 |
| Loneliness among adults | 27.8% | 23.5–32.2 |
| Utility services shut-off threat in the past 12 months among adults | 5.3% | 4.6–6.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.6% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 4.7% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 4.6% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 23.4% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 2.9% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 4.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 87.1% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 23.1% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 79.5% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 2.2% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.3% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 64.2% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 28.9% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 52.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $59,025 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $186,900 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $811 | $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 | 78.1 yr ± 1.49 | 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 1.49 years of 78.1, 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