ZIP code
54724
in Bloomer, WisconsinPopulation 7,517
52.05/ 100
Ranked #13,388 of 32,066 US ZIPs (top 42%)
Ranked #475 of 763 Wisconsin ZIPs (bottom 38%)
Ranked #8 of 16 Eau Claire, WI ZIPs (top 50%)
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.
Nitrate in drinking water
4.1%
in the top 4.6% nationally
Lower is healthier
ST95thUS95thDefinition & 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 ›Fiber broadband
98%
in the top 6.7% nationally
Higher is healthier
ST95thUS93rdDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›The read
By the composite health measure, Bloomer, Wisconsin (ZIP 54724) ranks in the top 42% healthiest ZIPs nationally (13,388th) and the bottom 38% of Wisconsin (475th).
The measures that set this area apart are worth putting up front: distance to an emergency room sits at the national minimum, shared with about 11% of ZIPs. Fiber broadband is in the top 6.7% nationally, and elder services settles in the top 11.5% nationally. Distance to a nursing home resides at the national minimum, shared with about 27% of ZIPs. Modeled loneliness registers in the bottom 16% nationally, and tooth loss rests in the bottom 14.6% nationally. Set against that, modeled nitrate stands in the top 4.6% nationally, fine-particle lies in the top 10.5% nationally, and binge drinking lands in the top 11.9% nationally. Modeled obesity sits in the top 13.9% nationally.
To spell things out, nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Close by, ZIP 54729, just across the boundary, ranks 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. Compare it against the US, this state and the Eau Claire, WI metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Preventive Care
healthier than 71%
13%
Climate / Disaster Risk
healthier than 78%
5%
About typical
Chronic Disease Burden
healthier than 49%
21%
Social Need / SDOH
healthier than 47%
16%
Environmental Hazard
healthier than 41%
14%
Mental Health
healthier than 49%
8%
Disability
healthier than 56%
7%
Healthcare Access
healthier than 50%
5%
Holding it back
Risk Behavior
healthier than 38%
11%
Lifting this score
Climate / Disaster Risk
healthier than 62%
5%
Healthcare Access
healthier than 69%
5%
About typical
Preventive Care
healthier than 42%
13%
Risk Behavior
healthier than 46%
11%
Disability
healthier than 41%
7%
Holding it back
Chronic Disease Burden
healthier than 39%
21%
Social Need / SDOH
healthier than 31%
16%
Environmental Hazard
healthier than 32%
14%
Mental Health
healthier than 29%
8%
Lifting this score
Preventive Care
healthier than 67%
13%
Risk Behavior
healthier than 67%
11%
Mental Health
healthier than 60%
8%
Healthcare Access
healthier than 60%
5%
About typical
Chronic Disease Burden
healthier than 40%
21%
Social Need / SDOH
healthier than 53%
16%
Disability
healthier than 53%
7%
Climate / Disaster Risk
healthier than 53%
5%
Holding it back
Environmental Hazard
healthier than 27%
14%
“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
54729
Wisconsinshares a border
Score 52.96
Closest healthier
54730
Wisconsinshares a border
Score 55.66
Similar health profile
16346
Pennsylvania99% similar profile
Score 52.75
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 | 30.1% | 26.8–33.2 |
| High blood pressure among adults | 35.8% | 31.9–39.5 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.0–11.0 |
| Current asthma among adults | 11.3% | 10.0–12.6 |
| Coronary heart disease among adults | 7.6% | 6.8–8.5 |
| Chronic obstructive pulmonary disease among adults | 7.6% | 6.6–8.7 |
| Depression among adults | 24.6% | 21.1–28.1 |
| Diagnosed diabetes among adults | 12.1% | 10.4–13.8 |
| High cholesterol among adults who have ever been screened | 36.1% | 32.2–40.0 |
| Obesity among adults | 41.8% | 35.3–48.3 |
| Stroke among adults | 3.8% | 3.4–4.2 |
| All teeth lost among adults aged >=65 years | 8.3% | 6.6–10.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.1% | 5.8–8.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.4% | 76.7–82.1 |
| Visits to doctor for routine checkup within the past year among adults | 77.0% | 73.6–80.4 |
| Cholesterol screening among adults | 86.5% | 84.7–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 69.3% | 64.7–73.6 |
| Visited dentist or dental clinic in the past year among adults | 67.6% | 64.1–70.8 |
| Mammography use among women aged 50-74 years | 78.1% | 71.1–83.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.9% | 15.9–22.3 |
| Current cigarette smoking among adults | 15.6% | 13.1–18.0 |
| No leisure-time physical activity among adults | 28.7% | 24.3–33.0 |
| Short sleep duration among adults | 32.2% | 26.9–37.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.1% | 16.4–21.8 |
| Frequent mental distress among adults | 15.8% | 13.9–17.7 |
| Frequent physical distress among adults | 14.3% | 12.5–16.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.5% | 11.9–15.3 |
| Any disability among adults | 33.6% | 29.4–37.8 |
| Hearing disability among adults | 8.3% | 7.3–9.2 |
| Independent living disability among adults | 8.6% | 7.6–9.7 |
| Mobility disability among adults | 14.8% | 12.8–17.0 |
| Self-care disability among adults | 3.8% | 3.4–4.3 |
| Vision disability among adults | 4.6% | 4.1–5.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.3% | 16.5–22.2 |
| Food insecurity in the past 12 months among adults | 10.8% | 8.9–12.9 |
| Received food stamps in the past 12 months among adults | 12.4% | 10.3–14.7 |
| Housing insecurity in the past 12 months among adults | 8.7% | 7.4–10.2 |
| Lack of reliable transportation in the past 12 months among adults | 6.3% | 5.4–7.2 |
| Loneliness among adults | 29.3% | 25.3–33.4 |
| Utility services shut-off threat in the past 12 months among adults | 5.3% | 4.5–6.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.2% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 3.5% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 4.2% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 23.0% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 3.4% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 2.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 91.3% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 21.7% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 80.9% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.2% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 0.2% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 57.6% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 18.7% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 39.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $72,391 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $244,700 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $899 | $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 | 79.5 yr ± 0.86 | 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 0.86 years of 79.5, 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