ZIP code
54730
in Colfax, WisconsinPopulation 5,578
55.66/ 100
Ranked #8,677 of 32,066 US ZIPs (top 27%)
Ranked #269 of 763 Wisconsin ZIPs (top 35%)
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
2.3%
in the top 5.5% nationally
Lower is healthier
ST93rdUS95thDefinition & 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 ›Utility shut-off threat
4.7%
in the bottom 9.7% nationally
Lower is healthier
ST33rdUS10thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Fine-particle (PM2.5) exceedance
0.86%
in the top 10.0% nationally
Lower is healthier
ST90thUS90thDefinition & 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 ›The read
Colfax, Wisconsin (ZIP 54730), by its overall standing, sits in the top 27% healthiest ZIPs nationally (8,677th) and the top 35% of Wisconsin (269th).
Several readings land clearly in this area's favor and shape the picture: modeled utility shutoff stands in the bottom 9.7% nationally, colon screening lands in the top 11.9% nationally, and mammography is in the top 13.6% nationally. Modeled loneliness resides in the bottom 18% nationally, and transportation rests in the bottom 19% nationally. Set against that, modeled nitrate lies in the top 5.5% nationally, and fine-particle sits in the top 10.0% nationally. Distance to a hazardous-chemical facility settles at the national minimum, shared with about 31% of ZIPs. Modeled binge drinking registers in the top 14.9% nationally, and walkability stands in the bottom 18% nationally.
Defined in plain 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. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. The nearest ZIP ranking healthier overall is ZIP 54739, just across the boundary.
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 83%
13%
Mental Health
healthier than 62%
8%
Disability
healthier than 72%
7%
Climate / Disaster Risk
healthier than 77%
5%
About typical
Chronic Disease Burden
healthier than 59%
21%
Social Need / SDOH
healthier than 58%
16%
Environmental Hazard
healthier than 48%
14%
Risk Behavior
healthier than 48%
11%
Holding it back
Healthcare Access
healthier than 35%
5%
Lifting this score
Preventive Care
healthier than 69%
13%
Risk Behavior
healthier than 64%
11%
Disability
healthier than 66%
7%
About typical
Chronic Disease Burden
healthier than 54%
21%
Social Need / SDOH
healthier than 42%
16%
Environmental Hazard
healthier than 40%
14%
Mental Health
healthier than 56%
8%
Climate / Disaster Risk
healthier than 59%
5%
Healthcare Access
healthier than 46%
5%
Nothing measured is holding this score back.
“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
54724
Wisconsinshares a border
Score 52.05
Closest healthier
54739
Wisconsinshares a border
Score 56.32
Similar health profile
14466
New York99% similar profile
Score 59.20
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 | 28.5% | 25.8–31.4 |
| High blood pressure among adults | 34.3% | 30.9–37.8 |
| Cancer (non-skin) or melanoma among adults | 9.6% | 8.8–10.4 |
| Current asthma among adults | 10.9% | 9.8–12.0 |
| Coronary heart disease among adults | 6.9% | 6.2–7.6 |
| Chronic obstructive pulmonary disease among adults | 7.0% | 6.2–7.8 |
| Depression among adults | 23.8% | 20.7–27.0 |
| Diagnosed diabetes among adults | 11.5% | 10.1–12.9 |
| High cholesterol among adults who have ever been screened | 35.7% | 32.1–39.4 |
| Obesity among adults | 40.5% | 34.4–46.9 |
| Stroke among adults | 3.5% | 3.2–3.7 |
| All teeth lost among adults aged >=65 years | 10.1% | 8.3–12.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.7% | 5.7–7.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.4% | 76.7–81.7 |
| Visits to doctor for routine checkup within the past year among adults | 77.9% | 74.9–80.7 |
| Cholesterol screening among adults | 87.4% | 85.7–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 71.7% | 67.6–75.5 |
| Visited dentist or dental clinic in the past year among adults | 69.2% | 66.2–72.1 |
| Mammography use among women aged 50-74 years | 79.6% | 73.5–84.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.5% | 15.9–21.5 |
| Current cigarette smoking among adults | 14.2% | 12.3–16.3 |
| No leisure-time physical activity among adults | 27.0% | 23.4–30.9 |
| Short sleep duration among adults | 32.8% | 28.0–38.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.1% | 15.1–19.3 |
| Frequent mental distress among adults | 14.9% | 13.4–16.6 |
| Frequent physical distress among adults | 13.3% | 11.9–14.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.4% | 11.0–13.8 |
| Any disability among adults | 30.4% | 26.9–34.0 |
| Hearing disability among adults | 7.4% | 6.6–8.1 |
| Independent living disability among adults | 7.5% | 6.7–8.4 |
| Mobility disability among adults | 13.5% | 11.9–15.2 |
| Self-care disability among adults | 3.4% | 3.1–3.8 |
| Vision disability among adults | 4.1% | 3.7–4.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.2% | 16.5–22.1 |
| Food insecurity in the past 12 months among adults | 9.9% | 8.3–11.5 |
| Received food stamps in the past 12 months among adults | 10.4% | 8.8–12.1 |
| Housing insecurity in the past 12 months among adults | 8.2% | 7.0–9.5 |
| Lack of reliable transportation in the past 12 months among adults | 5.8% | 5.1–6.6 |
| Loneliness among adults | 29.5% | 25.3–33.7 |
| Utility services shut-off threat in the past 12 months among adults | 4.7% | 4.1–5.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.2% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 5.7% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 6.0% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 27.0% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 4.7% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 2.3% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 89.3% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 19.3% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 74.0% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.8% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 2.1% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 57.7% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 20.7% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 40.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $83,010 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $249,200 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $876 | $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 | 81.0 yr ± 1.06 | 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 1.06 years of 81.0, 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