ZIP code
54965
in Pine River, WisconsinPopulation 1,212
54.28/ 100
Ranked #10,332 of 32,066 US ZIPs (top 32%)
Ranked #343 of 763 Wisconsin ZIPs (top 45%)
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.
Homeownership rate
95.8%
in the top 7.6% nationally
Higher is healthier
ST96thUS92ndDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Short sleep
29.5%
in the bottom 7.5% nationally
Lower is healthier
ST11thUS7thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Loneliness
28.2%
in the bottom 8.4% nationally
Lower is healthier
ST17thUS8thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Housing-cost burden
35.2%
in the top 17% nationally
Lower is healthier
ST95thUS83rdDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›The read
By the composite measure, Pine River, Wisconsin (ZIP 54965) sits in the top 32% healthiest ZIPs nationally (10,332nd) and the top 45% of Wisconsin (343rd).
Reading across the measures, this area's clearest strengths come through: homeownership lands in the top 7.6% nationally, modeled short sleep resides in the bottom 7.5% nationally, and modeled loneliness lies in the bottom 8.4% nationally. Modeled utility shutoff settles in the bottom 10.9% nationally. Modeled loud transportation noise stands at the national minimum, shared with about 22% of ZIPs. Modeled colon screening is in the top 11.5% nationally. Crowded housing rests at the national minimum, shared with about 29% of ZIPs. Modeled mammography sits in the top 12.9% nationally, and housing insecurity registers in the bottom 17% nationally. By contrast, housing-cost burden lands in the top 17% nationally.
Compared with the ZIPs that surround it, park land runs far lower than the surrounding ZIPs on this measure. In plain language, loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. ZIP 54940, just across the boundary, ranks healthier 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.
Lifting this score
Environmental Hazard
healthier than 82%
14%
Preventive Care
healthier than 88%
13%
Mental Health
healthier than 68%
8%
Climate / Disaster Risk
healthier than 72%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Risk Behavior
healthier than 52%
11%
Disability
healthier than 58%
7%
Holding it back
Social Need / SDOH
healthier than 38%
16%
Healthcare Access
healthier than 28%
5%
Lifting this score
Environmental Hazard
healthier than 88%
14%
Preventive Care
healthier than 80%
13%
Risk Behavior
healthier than 69%
11%
Mental Health
healthier than 71%
8%
About typical
Disability
healthier than 44%
7%
Climate / Disaster Risk
healthier than 46%
5%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Social Need / SDOH
healthier than 21%
16%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
54923
Wisconsinshares a border
Score 48.61
Closest healthier
54940
Wisconsinshares a border
Score 56.72
Similar health profile
54836
Wisconsin98% similar profile
Score 54.79
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 | 31.5% | 28.1–35.1 |
| High blood pressure among adults | 37.7% | 33.6–42.1 |
| Cancer (non-skin) or melanoma among adults | 10.4% | 9.5–11.6 |
| Current asthma among adults | 10.7% | 9.4–12.0 |
| Coronary heart disease among adults | 8.1% | 7.2–9.1 |
| Chronic obstructive pulmonary disease among adults | 7.9% | 6.9–9.1 |
| Depression among adults | 22.6% | 19.4–26.2 |
| Diagnosed diabetes among adults | 13.4% | 11.6–15.4 |
| High cholesterol among adults who have ever been screened | 37.2% | 33.1–41.4 |
| Obesity among adults | 38.9% | 32.2–46.0 |
| Stroke among adults | 4.0% | 3.6–4.4 |
| All teeth lost among adults aged >=65 years | 9.8% | 8.0–11.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.8% | 5.6–8.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.4% | 78.6–84.1 |
| Visits to doctor for routine checkup within the past year among adults | 79.5% | 76.3–82.6 |
| Cholesterol screening among adults | 88.4% | 86.8–89.9 |
| Colorectal cancer screening among adults aged 45–75 years | 71.8% | 67.5–76.0 |
| Visited dentist or dental clinic in the past year among adults | 68.0% | 64.9–71.0 |
| Mammography use among women aged 50-74 years | 79.7% | 73.5–85.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.2% | 15.3–21.5 |
| Current cigarette smoking among adults | 15.7% | 13.3–18.4 |
| No leisure-time physical activity among adults | 29.0% | 24.6–34.0 |
| Short sleep duration among adults | 29.5% | 24.3–34.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.3% | 15.8–21.2 |
| Frequent mental distress among adults | 15.1% | 13.3–17.0 |
| Frequent physical distress among adults | 14.2% | 12.5–16.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.7% | 11.1–14.5 |
| Any disability among adults | 30.7% | 26.7–35.4 |
| Hearing disability among adults | 8.3% | 7.3–9.3 |
| Independent living disability among adults | 8.1% | 7.1–9.2 |
| Mobility disability among adults | 15.4% | 13.3–17.8 |
| Self-care disability among adults | 3.9% | 3.5–4.4 |
| Vision disability among adults | 4.6% | 4.1–5.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.4% | 17.3–23.9 |
| Food insecurity in the past 12 months among adults | 10.5% | 8.6–12.8 |
| Received food stamps in the past 12 months among adults | 11.0% | 9.2–13.2 |
| Housing insecurity in the past 12 months among adults | 8.1% | 6.8–9.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.8% | 5.0–6.7 |
| Loneliness among adults | 28.2% | 23.8–33.1 |
| Utility services shut-off threat in the past 12 months among adults | 4.8% | 4.0–5.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.0% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 3.6% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 8.2% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 15.7% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 3.8% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 1.1% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 85.2% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 35.2% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 95.8% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.6% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 66.1% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 26.5% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 53.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $60,625 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $197,500 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $733 | $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 | 80.6 yr ± 1.28 | 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 1.28 years of 80.6, 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