ZIP code
54849
in Lake Nebagamon, WisconsinPopulation 1,857
55.68/ 100
Ranked #8,650 of 32,066 US ZIPs (top 27%)
Ranked #267 of 763 Wisconsin ZIPs (top 35%)
Ranked #16 of 65 Duluth, MN-WI ZIPs (top 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.
Elder-services access
0.51 per 1,000 residents
in the top 2.3% nationally
Higher is healthier
ST99thUS98thDefinition & 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 ›Utility shut-off threat
4.5%
in the bottom 7.6% nationally
Lower is healthier
ST24thUS8thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Loneliness
28.1%
in the bottom 7.9% nationally
Lower is healthier
ST16thUS8thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Distance to a hazardous-chemical facility
14.3 mi
in the top 8.6% nationally
Higher is healthier
ST90thUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Distance to an emergency room
16.1 mi
in the top 9.5% nationally
Lower is healthier
ST96thUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Industrial-pollution burden
in the bottom 15.0% nationally
Lower is healthier
ST6thUS15thDefinition & 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
57.3%
in the top 17% nationally
Higher is healthier
ST95thUS83rdDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›The read
In overall standing, Lake Nebagamon, Wisconsin (ZIP 54849) comes out in the top 27% healthiest ZIPs nationally (8,650th) and the top 35% of Wisconsin (267th).
The measures fall on both sides of the ledger for this area: elder services lands in the top 2.3% nationally, modeled utility shutoff is in the bottom 7.6% nationally, and modeled loneliness resides in the bottom 7.9% nationally. Distance to a hazardous-chemical facility rests in the top 8.6% nationally, modeled humid heat lies in the bottom 11.2% nationally, and modeled housing insecurity sits in the bottom 12.3% nationally. Modeled transportation settles in the bottom 13.7% nationally, and industrial-pollution burden registers in the bottom 15.0% nationally. Set against that, distance to an emergency room stands in the top 9.5% nationally, and modeled fine-particle lands in the top 14.3% nationally.
Relative to the ZIPs around it, park land runs far lower than the surrounding ZIPs on this measure. 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. 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. The nearest healthier ZIP overall is ZIP 54820, 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. Compare it against the US, this state and the Duluth, MN-WI metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 68%
16%
Environmental Hazard
healthier than 78%
14%
Preventive Care
healthier than 89%
13%
Mental Health
healthier than 70%
8%
Disability
healthier than 64%
7%
Climate / Disaster Risk
healthier than 75%
5%
About typical
Chronic Disease Burden
healthier than 40%
21%
Risk Behavior
healthier than 56%
11%
Healthcare Access
healthier than 49%
5%
Nothing measured is holding this score back.
Lifting this score
Environmental Hazard
healthier than 84%
14%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 76%
11%
Mental Health
healthier than 73%
8%
Healthcare Access
healthier than 67%
5%
About typical
Social Need / SDOH
healthier than 57%
16%
Disability
healthier than 54%
7%
Climate / Disaster Risk
healthier than 53%
5%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Lifting this score
Social Need / SDOH
healthier than 84%
16%
Environmental Hazard
healthier than 70%
14%
Preventive Care
healthier than 86%
13%
Risk Behavior
healthier than 70%
11%
Mental Health
healthier than 79%
8%
Disability
healthier than 66%
7%
About typical
Healthcare Access
healthier than 59%
5%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Climate / Disaster Risk
healthier than 20%
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
54820
Wisconsinshares a border
Score 56.49
Closest healthier
54854
Wisconsinshares a border
Score 56.09
Similar health profile
53588
Wisconsin97% similar profile
Score 55.87
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 | 31.6% | 28.0–35.2 |
| High blood pressure among adults | 39.1% | 34.8–43.3 |
| Cancer (non-skin) or melanoma among adults | 10.8% | 9.8–11.9 |
| Current asthma among adults | 10.8% | 9.6–12.1 |
| Coronary heart disease among adults | 8.2% | 7.3–9.2 |
| Chronic obstructive pulmonary disease among adults | 7.5% | 6.5–8.6 |
| Depression among adults | 22.9% | 19.5–26.4 |
| Diagnosed diabetes among adults | 12.9% | 11.2–14.9 |
| High cholesterol among adults who have ever been screened | 39.4% | 35.0–43.8 |
| Obesity among adults | 41.1% | 34.0–48.3 |
| Stroke among adults | 3.9% | 3.5–4.3 |
| All teeth lost among adults aged >=65 years | 8.1% | 6.5–10.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.2% | 5.0–7.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.3% | 78.4–84.0 |
| Visits to doctor for routine checkup within the past year among adults | 80.1% | 76.7–83.1 |
| Cholesterol screening among adults | 89.0% | 87.5–90.3 |
| Colorectal cancer screening among adults aged 45–75 years | 71.6% | 67.3–75.9 |
| Visited dentist or dental clinic in the past year among adults | 68.6% | 65.6–72.0 |
| Mammography use among women aged 50-74 years | 79.1% | 72.8–84.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.2% | 14.3–20.5 |
| Current cigarette smoking among adults | 14.0% | 11.9–16.4 |
| No leisure-time physical activity among adults | 27.2% | 22.9–31.8 |
| Short sleep duration among adults | 32.9% | 27.5–38.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.6% | 15.2–20.3 |
| Frequent mental distress among adults | 14.7% | 12.9–16.5 |
| Frequent physical distress among adults | 14.0% | 12.4–15.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.9% | 10.4–13.6 |
| Any disability among adults | 31.1% | 27.0–35.4 |
| Hearing disability among adults | 8.5% | 7.5–9.6 |
| Independent living disability among adults | 7.6% | 6.7–8.6 |
| Mobility disability among adults | 14.8% | 12.8–17.1 |
| Self-care disability among adults | 3.7% | 3.3–4.1 |
| Vision disability among adults | 4.3% | 3.8–4.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.3% | 15.6–21.3 |
| Food insecurity in the past 12 months among adults | 9.6% | 8.0–11.4 |
| Received food stamps in the past 12 months among adults | 10.1% | 8.4–11.9 |
| Housing insecurity in the past 12 months among adults | 7.6% | 6.4–9.0 |
| Lack of reliable transportation in the past 12 months among adults | 5.5% | 4.8–6.3 |
| Loneliness among adults | 28.1% | 23.8–32.5 |
| Utility services shut-off threat in the past 12 months among adults | 4.5% | 3.9–5.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.4% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 2.6% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 3.1% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 34.5% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 2.3% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 1.9% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 88.3% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 20.5% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 90.5% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 3.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 0.8% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 64.1% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 22.1% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 49.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $80,714 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $261,000 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $836 | $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 | 84.7 yr ± 1.22 | 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 1.22 years of 84.7, 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