ZIP code
54017
in New Richmond, WisconsinPopulation 20,366
58.15/ 100
Ranked #6,270 of 32,066 US ZIPs (top 20%)
Ranked #155 of 763 Wisconsin ZIPs (top 20%)
Ranked #135 of 224 Minneapolis-St. Paul-Bloomington, MN-WI ZIPs (bottom 40%)
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.
Binge drinking
21%
in the top 3.3% nationally
Lower is healthier
ST91stUS97thDefinition & 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 ›Nitrate in drinking water
1.2%
in the top 6.3% nationally
Lower is healthier
ST90thUS94thDefinition & 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 ›High cholesterol
32%
in the bottom 6.6% nationally
Lower is healthier
ST8thUS7thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Fine-particle (PM2.5) exceedance
0.95%
in the top 9.7% nationally
Lower is healthier
ST91stUS90thDefinition & 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 ›Diabetes
9.6%
in the bottom 13.0% nationally
Lower is healthier
ST9thUS13thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Arsenic in groundwater
2.0%
in the bottom 26% nationally
Lower is healthier
ST7thUS26thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms 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 ›The read
By the composite health measure, New Richmond, Wisconsin (ZIP 54017) ranks in the top 20% healthiest ZIPs nationally (6,270th) and the top 20% of Wisconsin (155th).
A handful of measures stand out most sharply across the profile here: distance to an emergency room sits at the national minimum, shared with about 11% of ZIPs. Modeled high cholesterol is in the bottom 6.6% nationally, and utility shutoff settles in the bottom 12.2% nationally. Distance to a nursing home resides at the national minimum, shared with about 27% of ZIPs. Fiber broadband registers in the top 15% nationally. On the other side, modeled binge drinking rests in the top 3.3% nationally, nitrate stands in the top 6.3% nationally, and fine-particle lies in the top 9.7% nationally. Modeled expected annual loss lands in the top 11.6% nationally, and disaster risk sits in the top 15% nationally.
Read against the ZIPs closest to it, park land runs far higher than the surrounding ZIPs on this measure. 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. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Close by, ZIP 54002, 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 Minneapolis-St. Paul-Bloomington, MN-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 80%
21%
Social Need / SDOH
healthier than 84%
16%
Preventive Care
healthier than 65%
13%
Disability
healthier than 81%
7%
Climate / Disaster Risk
healthier than 74%
5%
About typical
Environmental Hazard
healthier than 44%
14%
Mental Health
healthier than 57%
8%
Healthcare Access
healthier than 43%
5%
Holding it back
Risk Behavior
healthier than 35%
11%
Lifting this score
Chronic Disease Burden
healthier than 90%
21%
Social Need / SDOH
healthier than 84%
16%
Disability
healthier than 83%
7%
About typical
Risk Behavior
healthier than 42%
11%
Mental Health
healthier than 44%
8%
Climate / Disaster Risk
healthier than 50%
5%
Healthcare Access
healthier than 58%
5%
Holding it back
Environmental Hazard
healthier than 35%
14%
Preventive Care
healthier than 32%
13%
Lifting this score
Environmental Hazard
healthier than 87%
14%
Climate / Disaster Risk
healthier than 70%
5%
About typical
Social Need / SDOH
healthier than 47%
16%
Preventive Care
healthier than 55%
13%
Mental Health
healthier than 50%
8%
Healthcare Access
healthier than 51%
5%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Risk Behavior
healthier than 8%
11%
Disability
healthier than 37%
7%
“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
54002
Wisconsinshares a border
Score 58.75
Closest healthier
54015
Wisconsinshares a border
Score 58.17
Similar health profile
53536
Wisconsin98% similar profile
Score 57.70
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 | 24.4% | 21.7–27.2 |
| High blood pressure among adults | 31.6% | 28.2–35.2 |
| Cancer (non-skin) or melanoma among adults | 8.2% | 7.4–9.0 |
| Current asthma among adults | 10.8% | 9.6–12.1 |
| Coronary heart disease among adults | 5.7% | 5.1–6.3 |
| Chronic obstructive pulmonary disease among adults | 5.8% | 5.1–6.6 |
| Depression among adults | 23.5% | 20.4–27.1 |
| Diagnosed diabetes among adults | 9.6% | 8.3–10.9 |
| High cholesterol among adults who have ever been screened | 32.0% | 28.5–35.9 |
| Obesity among adults | 37.2% | 31.7–43.4 |
| Stroke among adults | 2.9% | 2.6–3.2 |
| All teeth lost among adults aged >=65 years | 8.2% | 6.6–10.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.7% | 5.6–8.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.0% | 73.0–78.8 |
| Visits to doctor for routine checkup within the past year among adults | 75.2% | 71.7–78.7 |
| Cholesterol screening among adults | 86.0% | 84.2–87.7 |
| Colorectal cancer screening among adults aged 45–75 years | 68.2% | 63.7–72.4 |
| Visited dentist or dental clinic in the past year among adults | 70.2% | 67.0–73.2 |
| Mammography use among women aged 50-74 years | 79.5% | 73.3–84.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.0% | 17.9–24.7 |
| Current cigarette smoking among adults | 14.0% | 12.0–16.1 |
| No leisure-time physical activity among adults | 25.3% | 21.6–29.3 |
| Short sleep duration among adults | 33.2% | 28.3–38.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.8% | 13.7–18.0 |
| Frequent mental distress among adults | 15.7% | 13.9–17.6 |
| Frequent physical distress among adults | 12.2% | 10.8–13.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.7% | 11.3–14.3 |
| Any disability among adults | 27.7% | 24.2–31.4 |
| Hearing disability among adults | 6.3% | 5.5–7.0 |
| Independent living disability among adults | 7.3% | 6.5–8.1 |
| Mobility disability among adults | 11.5% | 10.0–13.1 |
| Self-care disability among adults | 3.1% | 2.7–3.4 |
| Vision disability among adults | 3.7% | 3.4–4.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.6% | 16.9–22.6 |
| Food insecurity in the past 12 months among adults | 10.1% | 8.5–11.8 |
| Received food stamps in the past 12 months among adults | 10.5% | 8.8–12.2 |
| Housing insecurity in the past 12 months among adults | 8.5% | 7.3–9.9 |
| Lack of reliable transportation in the past 12 months among adults | 6.0% | 5.2–6.8 |
| Loneliness among adults | 29.4% | 25.5–33.7 |
| Utility services shut-off threat in the past 12 months among adults | 4.9% | 4.2–5.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.2% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 6.7% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 4.1% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 33.8% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 2.9% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 4.7% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 92.5% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 19.0% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 75.5% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.1% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 45.3% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 15.1% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 38.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $98,571 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $321,700 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,225 | $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 | 79.1 yr ± 0.74 | 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 0.74 years of 79.1, 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