ZIP code
54982
in Wautoma, WisconsinPopulation 6,958
51.40/ 100
Ranked #14,273 of 32,066 US ZIPs (top 45%)
Ranked #509 of 763 Wisconsin ZIPs (bottom 33%)
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
0.29 per 1,000 residents
in the top 4.9% nationally
Higher is healthier
ST96thUS95thDefinition & 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 ›Mental-health provider access
0.14 per 1,000 residents
in the top 7.1% nationally
Higher is healthier
ST95thUS93rdDefinition & source ›
The number of mental-health clinics located 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 ›Nitrate in drinking water
0.59%
in the top 7.1% nationally
Lower is healthier
ST88thUS93rdDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Distance to a nursing home
10.4 mi
in the top 10.3% nationally
Lower is healthier
ST94thUS90thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Outpatient-care access
0.43 per 1,000 residents
in the top 10.3% nationally
Higher is healthier
ST96thUS90thDefinition & source ›
The number of outpatient clinics located 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 ›Colon-cancer screening
72.6%
in the top 8.5% nationally
Higher is healthier
ST83rdUS92ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Pharmacy access
0.29 per 1,000 residents
in the top 15% nationally
Higher is healthier
ST92ndUS85thDefinition & source ›
The number of pharmacies located 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 ›The read
Wautoma, Wisconsin (ZIP 54982), overall, ranks in the top 45% healthiest ZIPs nationally (14,273rd) and the bottom 33% of Wisconsin (509th).
This area's strengths are easy to pick out across the measures: elder services lies in the top 4.9% nationally, mental-health providers stands in the top 7.1% nationally, and modeled short sleep rests in the bottom 10.1% nationally. Outpatient registers in the top 10.3% nationally. Distance to a community health center resides at the national minimum, shared with about 23% of ZIPs. Modeled colon screening settles in the top 8.5% nationally, and loneliness is in the bottom 12.4% nationally. Grocery sits in the top 12.5% nationally. Working the other way, modeled nitrate lands in the top 7.1% nationally, and distance to a nursing home lies in the top 10.3% nationally.
Defined simply, nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. ZIP 54909, just across the boundary, comes out 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
Preventive Care
healthier than 78%
13%
Mental Health
healthier than 66%
8%
Climate / Disaster Risk
healthier than 67%
5%
About typical
Social Need / SDOH
healthier than 50%
16%
Environmental Hazard
healthier than 60%
14%
Risk Behavior
healthier than 47%
11%
Healthcare Access
healthier than 48%
5%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Disability
healthier than 39%
7%
Lifting this score
Risk Behavior
healthier than 62%
11%
Mental Health
healthier than 65%
8%
Healthcare Access
healthier than 65%
5%
About typical
Environmental Hazard
healthier than 58%
14%
Preventive Care
healthier than 58%
13%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Social Need / SDOH
healthier than 34%
16%
Disability
healthier than 19%
7%
Climate / Disaster Risk
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
53964
Wisconsinshares a border
Score 49.64
Closest healthier
54909
Wisconsinshares a border
Score 54.66
Similar health profile
54813
Wisconsin98% similar profile
Score 51.78
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 | 32.6% | 29.3–36.0 |
| High blood pressure among adults | 38.9% | 35.0–43.0 |
| Cancer (non-skin) or melanoma among adults | 10.8% | 9.8–11.8 |
| Current asthma among adults | 10.7% | 9.5–12.1 |
| Coronary heart disease among adults | 8.9% | 8.0–9.8 |
| Chronic obstructive pulmonary disease among adults | 8.8% | 7.8–9.9 |
| Depression among adults | 22.6% | 19.5–26.2 |
| Diagnosed diabetes among adults | 14.4% | 12.6–16.4 |
| High cholesterol among adults who have ever been screened | 37.6% | 33.5–41.8 |
| Obesity among adults | 39.7% | 32.9–46.8 |
| Stroke among adults | 4.4% | 4.0–4.8 |
| All teeth lost among adults aged >=65 years | 12.1% | 10.0–14.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.3% | 8.0–10.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.0% | 79.5–84.4 |
| Visits to doctor for routine checkup within the past year among adults | 79.5% | 76.4–82.6 |
| Cholesterol screening among adults | 87.4% | 86.0–89.0 |
| Colorectal cancer screening among adults aged 45–75 years | 72.6% | 68.4–76.5 |
| Visited dentist or dental clinic in the past year among adults | 64.5% | 61.4–67.7 |
| Mammography use among women aged 50-74 years | 76.8% | 69.9–82.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.9% | 14.1–20.1 |
| Current cigarette smoking among adults | 16.2% | 13.9–18.6 |
| No leisure-time physical activity among adults | 32.2% | 27.8–36.9 |
| Short sleep duration among adults | 30.1% | 25.0–35.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.7% | 18.1–23.4 |
| Frequent mental distress among adults | 15.4% | 13.7–17.2 |
| Frequent physical distress among adults | 15.2% | 13.5–17.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.7% | 12.2–15.4 |
| Any disability among adults | 33.7% | 29.8–37.9 |
| Hearing disability among adults | 9.2% | 8.3–10.3 |
| Independent living disability among adults | 9.2% | 8.1–10.3 |
| Mobility disability among adults | 17.4% | 15.2–19.7 |
| Self-care disability among adults | 4.4% | 4.0–4.9 |
| Vision disability among adults | 5.5% | 5.0–6.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.8% | 17.7–24.0 |
| Food insecurity in the past 12 months among adults | 13.1% | 11.2–15.4 |
| Received food stamps in the past 12 months among adults | 14.1% | 12.1–16.4 |
| Housing insecurity in the past 12 months among adults | 9.7% | 8.3–11.3 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 6.0–7.8 |
| Loneliness among adults | 28.8% | 24.5–33.4 |
| Utility services shut-off threat in the past 12 months among adults | 5.6% | 4.8–6.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.7% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 15.2% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 8.4% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 21.6% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 5.1% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 8.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 81.2% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 27.0% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 81.5% | 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 | 3.7% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 64.9% | 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 | 51.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $64,201 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $203,100 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $820 | $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 ± 0.83 | 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 0.83 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