ZIP code
54980
in Waukau, WisconsinPopulation 218
55.52/ 100
Ranked #8,844 of 32,066 US ZIPs (top 28%)
Ranked #274 of 763 Wisconsin ZIPs (top 36%)
Ranked #7 of 12 Oshkosh-Neenah, WI ZIPs (bottom 42%)
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.
Home broadband subscription
27.6%
in the bottom 0.6% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Natural-disaster risk
in the bottom 2.1% nationally
Lower is healthier
ST4thUS2ndDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Housing-cost burden
1.5%
in the bottom 3.9% nationally
Lower is healthier
ST1stUS4thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Utility shut-off threat
4.1%
in the bottom 4.4% nationally
Lower is healthier
ST12thUS4thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Expected annual disaster loss
$0
in the bottom 4.5% nationally
Lower is healthier
ST2ndUS4thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Mammography
81.8%
in the top 4.4% nationally
Higher is healthier
ST87thUS96thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Median household income
$31,711
in the bottom 2.3% nationally
Higher is healthier
ST1stUS2ndDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›The read
Overall, Waukau, Wisconsin (ZIP 54980) lands in the top 28% healthiest ZIPs nationally (8,844th) and the top 36% of Wisconsin (274th).
The picture here is genuinely mixed, with readings on both sides: modeled disaster risk rests in the bottom 2.1% nationally, and poverty stands at the national minimum. Homeownership lies at the national maximum, and housing-cost burden lands in the bottom 3.9% nationally. Modeled utility shutoff sits in the bottom 4.4% nationally, expected annual loss is in the bottom 4.5% nationally, and mammography settles in the top 4.4% nationally. Unemployment resides at the national minimum, shared with about 15% of ZIPs. Modeled short sleep registers in the bottom 10.5% nationally. On the other side, household income rests in the bottom 2.3% nationally.
Set beside the nearby areas, home broadband subscription runs far lower than the surrounding ZIPs on this measure. A note on the terms: disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. For a healthier nearby comparison, ZIP 54963, just across the boundary, ranks better 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. Compare it against the US, this state and the Oshkosh-Neenah, 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 71%
16%
Environmental Hazard
healthier than 77%
14%
Preventive Care
healthier than 91%
13%
Mental Health
healthier than 63%
8%
Climate / Disaster Risk
healthier than 63%
5%
About typical
Chronic Disease Burden
healthier than 48%
21%
Risk Behavior
healthier than 52%
11%
Disability
healthier than 60%
7%
Holding it back
Healthcare Access
healthier than 20%
5%
Lifting this score
Social Need / SDOH
healthier than 62%
16%
Environmental Hazard
healthier than 82%
14%
Preventive Care
healthier than 85%
13%
Risk Behavior
healthier than 70%
11%
About typical
Mental Health
healthier than 57%
8%
Disability
healthier than 48%
7%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Climate / Disaster Risk
healthier than 31%
5%
Healthcare Access
healthier than 21%
5%
Lifting this score
Environmental Hazard
in the top 0.00%
14%
Risk Behavior
healthier than 82%
11%
About typical
Preventive Care
healthier than 55%
13%
Mental Health
healthier than 55%
8%
Climate / Disaster Risk
healthier than 55%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 36%
16%
Disability
healthier than 18%
7%
Healthcare Access
in the bottom 0.00%
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
54963
Wisconsinshares a border
Score 56.59
Closest healthier
54904
Wisconsinabout 1.8 mi away
Score 59.72
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 | 31.9% | 28.8–35.1 |
| High blood pressure among adults | 36.2% | 32.8–39.9 |
| Cancer (non-skin) or melanoma among adults | 10.6% | 9.5–11.8 |
| Current asthma among adults | 11.2% | 9.9–12.7 |
| Coronary heart disease among adults | 7.7% | 6.5–8.9 |
| Chronic obstructive pulmonary disease among adults | 7.1% | 5.7–8.6 |
| Depression among adults | 23.0% | 20.0–26.2 |
| Diagnosed diabetes among adults | 12.5% | 10.7–14.5 |
| High cholesterol among adults who have ever been screened | 37.2% | 33.7–40.8 |
| Obesity among adults | 38.9% | 33.7–44.3 |
| Stroke among adults | 3.8% | 3.2–4.4 |
| All teeth lost among adults aged >=65 years | 7.7% | 6.1–9.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.9% | 5.2–9.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.7% | 78.8–84.2 |
| Visits to doctor for routine checkup within the past year among adults | 81.0% | 78.0–83.8 |
| Cholesterol screening among adults | 87.9% | 85.5–90.0 |
| Colorectal cancer screening among adults aged 45–75 years | 68.7% | 64.5–72.7 |
| Visited dentist or dental clinic in the past year among adults | 71.9% | 68.8–74.8 |
| Mammography use among women aged 50-74 years | 81.8% | 75.8–86.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.8% | 16.0–21.8 |
| Current cigarette smoking among adults | 13.6% | 10.7–16.7 |
| No leisure-time physical activity among adults | 29.5% | 24.5–34.6 |
| Short sleep duration among adults | 30.2% | 25.7–35.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.9% | 14.7–21.6 |
| Frequent mental distress among adults | 15.4% | 13.3–17.6 |
| Frequent physical distress among adults | 13.4% | 11.4–15.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.9% | 10.8–15.4 |
| Any disability among adults | 31.2% | 26.7–35.9 |
| Hearing disability among adults | 8.3% | 7.2–9.5 |
| Independent living disability among adults | 8.2% | 6.7–9.9 |
| Mobility disability among adults | 15.3% | 12.6–18.1 |
| Self-care disability among adults | 3.5% | 2.9–4.2 |
| Vision disability among adults | 4.4% | 3.6–5.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.8% | 16.5–23.3 |
| Food insecurity in the past 12 months among adults | 9.3% | 7.0–11.9 |
| Received food stamps in the past 12 months among adults | 9.3% | 7.0–11.8 |
| Housing insecurity in the past 12 months among adults | 7.9% | 6.3–9.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.5% | 4.4–6.7 |
| Loneliness among adults | 29.2% | 24.9–33.4 |
| Utility services shut-off threat in the past 12 months among adults | 4.1% | 3.3–5.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 3.5% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 1.5% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 27.6% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 1.5% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 100.0% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 37.5% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 48.6% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 56.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $31,711 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $190,100 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | — | $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 | 86.2 yr ± 2.09 | 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 2.09 years of 86.2, 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