ZIP code
54742
in Fall Creek, WisconsinPopulation 4,255
57.95/ 100
Ranked #6,442 of 32,066 US ZIPs (top 20%)
Ranked #165 of 763 Wisconsin ZIPs (top 22%)
Ranked #3 of 16 Eau Claire, WI ZIPs (top 19%)
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
5.3%
in the top 4.1% nationally
Lower is healthier
ST96thUS96thDefinition & 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 ›Grocery access
0.21 per 1,000 residents
in the top 6.9% nationally
Higher is healthier
ST92ndUS93rdDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Utility shut-off threat
4.6%
in the bottom 8.6% nationally
Lower is healthier
ST29thUS9thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Binge drinking
19.5%
in the top 8.3% nationally
Lower is healthier
ST67thUS92ndDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Fine-particle (PM2.5) exceedance
1.0%
in the top 9.6% nationally
Lower is healthier
ST92ndUS90thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Mammography
80.8%
in the top 7.4% nationally
Higher is healthier
ST77thUS93rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Obesity
31.2%
in the bottom 21% nationally
Lower is healthier
ST2ndUS21stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Median household income
$102,083
in the top 18% nationally
Higher is healthier
ST90thUS82ndDefinition & 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, Fall Creek, Wisconsin (ZIP 54742) lands in the top 20% healthiest ZIPs nationally (6,442nd) and the top 22% of Wisconsin (165th).
A handful of measures stand out most sharply across the profile here: grocery is in the top 6.9% nationally, and modeled utility shutoff settles in the bottom 8.6% nationally. Modeled mammography resides in the top 7.4% nationally, and transportation registers in the bottom 13.7% nationally. Modeled food insecurity rests in the bottom 14.1% nationally, and housing insecurity stands in the bottom 16% nationally. On the other side, modeled nitrate lies in the top 4.1% nationally, binge drinking lands in the top 8.3% nationally, and fine-particle sits in the top 9.6% nationally. Walkability is in the bottom 15% nationally.
A note on the terms: 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. For a healthier nearby comparison, ZIP 54701, 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 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
Chronic Disease Burden
healthier than 79%
21%
Social Need / SDOH
healthier than 72%
16%
Preventive Care
healthier than 79%
13%
Disability
healthier than 80%
7%
Climate / Disaster Risk
healthier than 73%
5%
About typical
Environmental Hazard
healthier than 48%
14%
Risk Behavior
healthier than 44%
11%
Mental Health
healthier than 46%
8%
Healthcare Access
healthier than 53%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 87%
21%
Social Need / SDOH
healthier than 64%
16%
Disability
healthier than 82%
7%
Healthcare Access
healthier than 72%
5%
About typical
Environmental Hazard
healthier than 40%
14%
Preventive Care
healthier than 60%
13%
Risk Behavior
healthier than 58%
11%
Climate / Disaster Risk
healthier than 48%
5%
Holding it back
Mental Health
healthier than 21%
8%
Lifting this score
Chronic Disease Burden
healthier than 87%
21%
Social Need / SDOH
healthier than 87%
16%
Preventive Care
healthier than 73%
13%
Risk Behavior
healthier than 73%
11%
Disability
healthier than 93%
7%
Healthcare Access
healthier than 67%
5%
About typical
Mental Health
healthier than 47%
8%
Climate / Disaster Risk
healthier than 40%
5%
Holding it back
Environmental Hazard
healthier than 33%
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
54701
Wisconsinshares a border
Score 58.02
Closest healthier
54738
Wisconsinshares a border
Score 58.29
Similar health profile
18076
Pennsylvania99% similar profile
Score 57.50
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 | 26.3% | 23.5–29.5 |
| High blood pressure among adults | 31.3% | 28.0–35.1 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.2–9.9 |
| Current asthma among adults | 10.7% | 9.5–12.0 |
| Coronary heart disease among adults | 6.1% | 5.4–6.8 |
| Chronic obstructive pulmonary disease among adults | 6.0% | 5.3–6.9 |
| Depression among adults | 25.3% | 22.0–28.9 |
| Diagnosed diabetes among adults | 10.0% | 8.6–11.5 |
| High cholesterol among adults who have ever been screened | 34.3% | 30.7–38.1 |
| Obesity among adults | 31.2% | 26.0–37.0 |
| Stroke among adults | 3.0% | 2.7–3.3 |
| All teeth lost among adults aged >=65 years | 8.7% | 7.1–10.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.5% | 5.3–7.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.0% | 73.9–80.0 |
| Visits to doctor for routine checkup within the past year among adults | 76.7% | 73.3–80.0 |
| Cholesterol screening among adults | 86.9% | 85.2–88.5 |
| Colorectal cancer screening among adults aged 45–75 years | 70.4% | 66.0–74.6 |
| Visited dentist or dental clinic in the past year among adults | 71.1% | 68.1–74.1 |
| Mammography use among women aged 50-74 years | 80.8% | 74.4–86.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.5% | 16.5–22.9 |
| Current cigarette smoking among adults | 13.5% | 11.3–15.9 |
| No leisure-time physical activity among adults | 24.1% | 20.5–28.3 |
| Short sleep duration among adults | 34.8% | 29.6–40.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.5% | 13.4–17.8 |
| Frequent mental distress among adults | 15.7% | 13.8–17.7 |
| Frequent physical distress among adults | 12.3% | 10.8–14.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.2% | 10.7–13.9 |
| Any disability among adults | 27.9% | 24.4–31.9 |
| Hearing disability among adults | 6.7% | 5.9–7.5 |
| Independent living disability among adults | 7.1% | 6.3–8.1 |
| Mobility disability among adults | 11.9% | 10.3–13.8 |
| Self-care disability among adults | 3.1% | 2.7–3.4 |
| Vision disability among adults | 3.7% | 3.3–4.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.6% | 17.7–23.9 |
| Food insecurity in the past 12 months among adults | 9.2% | 7.6–11.0 |
| Received food stamps in the past 12 months among adults | 9.5% | 7.9–11.4 |
| Housing insecurity in the past 12 months among adults | 8.0% | 6.7–9.4 |
| Lack of reliable transportation in the past 12 months among adults | 5.5% | 4.8–6.4 |
| Loneliness among adults | 30.6% | 26.3–35.3 |
| Utility services shut-off threat in the past 12 months among adults | 4.6% | 3.9–5.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.6% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 7.2% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 5.0% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 32.9% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 3.6% | 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 | 91.8% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 21.3% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 86.2% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.4% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.2% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 50.1% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 15.8% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 40.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $102,083 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $282,100 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,071 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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