ZIP code
53801
in Bagley, WisconsinPopulation 998
45.42/ 100
Ranked #21,974 of 32,066 US ZIPs (bottom 31%)
Ranked #723 of 763 Wisconsin ZIPs (bottom 5.3%)
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.
Transportation noise
10.4%
in the top 8.1% nationally
Lower is healthier
ST96thUS92ndDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Obesity
44.3%
in the top 5.6% nationally
Lower is healthier
ST95thUS94thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Radon
3 pCi/L
in the top 10.5% nationally
Lower is healthier
ST92ndUS90thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›Dry extreme heat
9.2 days/year
in the top 37% nationally
Lower is healthier
ST99thUS63rdDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
On the composite measure, Bagley, Wisconsin (ZIP 53801) stands in the bottom 31% nationally (21,974th) and the bottom 5.3% of Wisconsin (723rd).
A profile of give and take, with clear readings each way: modeled pfas rests in the bottom 14.7% nationally, and loneliness lands in the bottom 18% nationally. On the other side, modeled transportation noise settles in the top 8.1% nationally, and obesity rests in the top 5.6% nationally. Modeled radon lands in the top 10.5% nationally, and loud transportation noise settles in the top 13.4% nationally. Recreation rests at the national minimum, shared with about 35% of ZIPs. Modeled coronary heart disease lands in the top 17% nationally. Physicians settles at the national minimum, shared with about 38% of ZIPs. Walkability rests in the bottom 20% nationally.
For clarity, radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. ZIP 52049, 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.
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 42%
14%
Preventive Care
healthier than 57%
13%
Mental Health
healthier than 51%
8%
Climate / Disaster Risk
healthier than 44%
5%
Healthcare Access
healthier than 52%
5%
Holding it back
Chronic Disease Burden
healthier than 23%
21%
Social Need / SDOH
healthier than 31%
16%
Risk Behavior
healthier than 15%
11%
Disability
healthier than 32%
7%
Lifting this score
Healthcare Access
healthier than 71%
5%
Holding it back
Chronic Disease Burden
healthier than 10%
21%
Social Need / SDOH
healthier than 12%
16%
Environmental Hazard
healthier than 33%
14%
Preventive Care
healthier than 20%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 31%
8%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 13%
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
52049
Iowashares a border
Score 48.93
Closest healthier
53804
Wisconsinshares a border
Score 47.54
Similar health profile
42154
Kentucky98% similar profile
Score 41.86
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 | 32.0% | 28.5–35.4 |
| High blood pressure among adults | 38.5% | 34.3–42.4 |
| Cancer (non-skin) or melanoma among adults | 10.2% | 9.2–11.2 |
| Current asthma among adults | 11.1% | 9.8–12.4 |
| Coronary heart disease among adults | 9.3% | 8.2–10.4 |
| Chronic obstructive pulmonary disease among adults | 9.4% | 8.1–10.8 |
| Depression among adults | 23.5% | 20.2–27.0 |
| Diagnosed diabetes among adults | 15.0% | 12.9–17.0 |
| High cholesterol among adults who have ever been screened | 38.6% | 34.5–42.6 |
| Obesity among adults | 44.3% | 37.3–51.1 |
| Stroke among adults | 4.6% | 4.0–5.1 |
| All teeth lost among adults aged >=65 years | 15.5% | 12.6–18.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.0% | 7.5–10.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.4% | 78.5–83.8 |
| Visits to doctor for routine checkup within the past year among adults | 78.8% | 75.4–81.9 |
| Cholesterol screening among adults | 86.4% | 84.7–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 65.2% | 60.1–69.9 |
| Visited dentist or dental clinic in the past year among adults | 61.0% | 57.4–64.5 |
| Mammography use among women aged 50-74 years | 76.4% | 69.0–82.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.4% | 14.5–20.6 |
| Current cigarette smoking among adults | 17.6% | 14.9–20.5 |
| No leisure-time physical activity among adults | 35.3% | 30.1–40.5 |
| Short sleep duration among adults | 35.5% | 29.7–41.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.8% | 18.8–25.0 |
| Frequent mental distress among adults | 16.4% | 14.4–18.3 |
| Frequent physical distress among adults | 16.2% | 14.1–18.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.5% | 12.6–16.4 |
| Any disability among adults | 34.9% | 30.5–39.3 |
| Hearing disability among adults | 9.5% | 8.3–10.6 |
| Independent living disability among adults | 9.7% | 8.5–11.0 |
| Mobility disability among adults | 18.0% | 15.5–20.6 |
| Self-care disability among adults | 4.8% | 4.2–5.4 |
| Vision disability among adults | 5.7% | 5.0–6.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.5% | 17.6–23.8 |
| Food insecurity in the past 12 months among adults | 13.8% | 11.6–16.4 |
| Received food stamps in the past 12 months among adults | 15.5% | 13.0–18.3 |
| Housing insecurity in the past 12 months among adults | 10.2% | 8.7–11.9 |
| Lack of reliable transportation in the past 12 months among adults | 7.4% | 6.4–8.4 |
| Loneliness among adults | 29.5% | 25.1–34.1 |
| Utility services shut-off threat in the past 12 months among adults | 6.2% | 5.3–7.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.4% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 26.9% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 10.3% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 13.5% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.5% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 2.7% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 88.7% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 18.4% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 83.6% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.7% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 6.5% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 69.2% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 20.5% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 52.1 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 | $135,100 | $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 | 82.3 yr ± 1.48 | 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 1.48 years of 82.3, 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