ZIP code
54895
in Weyerhaeuser, WisconsinPopulation 799
49.75/ 100
Ranked #16,589 of 32,066 US ZIPs (bottom 48%)
Ranked #575 of 763 Wisconsin ZIPs (bottom 25%)
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.
Energy-cost burden
5.0%
in the top 8.9% nationally
Lower is healthier
ST96thUS91stDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Industrial-pollution burden
in the bottom 13.7% nationally
Lower is healthier
ST5thUS14thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Tree cover
59.5%
in the top 15% nationally
Higher is healthier
ST96thUS85thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›The read
On the composite measure, Weyerhaeuser, Wisconsin (ZIP 54895) stands in the bottom 48% nationally (16,589th) and the bottom 25% of Wisconsin (575th).
Several signals sit on each side of the ledger here: modeled industrial-pollution burden lands in the bottom 13.7% nationally, and humid heat settles in the bottom 13.9% nationally. Crowded housing rests at the national minimum, shared with about 29% of ZIPs. Homeownership lands in the top 14.6% nationally, modeled tree cover settles in the top 15% nationally, and fiber broadband rests in the top 16% nationally. Outer-floodplain exposure lands at the national minimum, shared with about 36% of ZIPs. Working the other way, modeled fine-particle settles in the top 10.5% nationally, and energy burden rests in the top 8.9% nationally. Recreation lands at the national minimum, shared with about 35% of ZIPs.
For clarity, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Energy burden is the share of household income that goes to home energy bills. ZIP 54728, just across the boundary, ranks better overall among the ZIPs nearby.
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 78%
14%
Preventive Care
healthier than 77%
13%
Mental Health
healthier than 60%
8%
Climate / Disaster Risk
healthier than 89%
5%
About typical
Risk Behavior
healthier than 46%
11%
Holding it back
Chronic Disease Burden
healthier than 25%
21%
Social Need / SDOH
healthier than 26%
16%
Disability
healthier than 36%
7%
Healthcare Access
healthier than 25%
5%
Lifting this score
Environmental Hazard
healthier than 84%
14%
Climate / Disaster Risk
healthier than 86%
5%
About typical
Preventive Care
healthier than 54%
13%
Risk Behavior
healthier than 59%
11%
Mental Health
healthier than 50%
8%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Social Need / SDOH
healthier than 10%
16%
Disability
healthier than 15%
7%
Healthcare Access
healthier than 31%
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
54728
Wisconsinshares a border
Score 53.47
Closest healthier
54757
Wisconsinshares a border
Score 50.30
Similar health profile
13439
New York98% similar profile
Score 50.73
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 | 34.1% | 30.4–37.7 |
| High blood pressure among adults | 39.0% | 34.8–43.2 |
| Cancer (non-skin) or melanoma among adults | 10.8% | 9.7–11.9 |
| Current asthma among adults | 11.4% | 10.1–12.8 |
| Coronary heart disease among adults | 9.1% | 8.1–10.1 |
| Chronic obstructive pulmonary disease among adults | 9.4% | 8.2–10.7 |
| Depression among adults | 23.0% | 19.5–26.6 |
| Diagnosed diabetes among adults | 14.3% | 12.3–16.3 |
| High cholesterol among adults who have ever been screened | 38.2% | 33.8–42.7 |
| Obesity among adults | 40.5% | 32.9–48.4 |
| Stroke among adults | 4.5% | 4.1–5.0 |
| All teeth lost among adults aged >=65 years | 12.7% | 10.2–15.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.7% | 6.3–9.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.9% | 79.1–84.5 |
| Visits to doctor for routine checkup within the past year among adults | 80.6% | 77.2–83.7 |
| Cholesterol screening among adults | 87.7% | 86.0–89.3 |
| Colorectal cancer screening among adults aged 45–75 years | 70.5% | 65.6–75.1 |
| Visited dentist or dental clinic in the past year among adults | 63.9% | 60.1–67.4 |
| Mammography use among women aged 50-74 years | 75.3% | 67.4–81.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.3% | 13.5–19.5 |
| Current cigarette smoking among adults | 16.8% | 14.3–19.5 |
| No leisure-time physical activity among adults | 30.1% | 25.4–35.2 |
| Short sleep duration among adults | 32.3% | 26.3–38.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.2% | 18.4–24.3 |
| Frequent mental distress among adults | 15.7% | 13.9–17.7 |
| Frequent physical distress among adults | 15.7% | 13.8–17.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.0% | 12.3–15.9 |
| Any disability among adults | 34.9% | 30.5–39.5 |
| Hearing disability among adults | 9.4% | 8.3–10.5 |
| Independent living disability among adults | 9.5% | 8.4–10.8 |
| Mobility disability among adults | 17.8% | 15.5–20.3 |
| Self-care disability among adults | 4.6% | 4.1–5.2 |
| Vision disability among adults | 5.5% | 4.9–6.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.0% | 16.8–23.7 |
| Food insecurity in the past 12 months among adults | 12.4% | 10.1–15.0 |
| Received food stamps in the past 12 months among adults | 14.3% | 11.8–17.1 |
| Housing insecurity in the past 12 months among adults | 9.4% | 7.7–11.2 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 5.9–8.0 |
| Loneliness among adults | 30.3% | 25.3–35.7 |
| Utility services shut-off threat in the past 12 months among adults | 5.7% | 4.8–6.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.2% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 10.8% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 7.4% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 20.4% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 2.4% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 3.3% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 86.5% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 18.0% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 91.4% | 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 | 1.5% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 64.4% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 29.8% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 56.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $65,357 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $181,600 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $833 | $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 | 81.1 yr ± 1.33 | 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 1.33 years of 81.1, 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