ZIP code
53960
in Rio, WisconsinPopulation 3,396
55.25/ 100
Ranked #9,158 of 32,066 US ZIPs (top 29%)
Ranked #281 of 763 Wisconsin ZIPs (top 37%)
Ranked #46 of 67 Madison, WI ZIPs (bottom 31%)
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.
Pharmacy access
1.2 per 1,000 residents
in the top 0.6% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of pharmacies located 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.
Full methodology ›Grocery access
0.3 per 1,000 residents
in the top 3.7% nationally
Higher is healthier
ST95thUS96thDefinition & 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 ›Elder-services access
0.3 per 1,000 residents
in the top 4.6% nationally
Higher is healthier
ST96thUS95thDefinition & source ›
The number of services for older adults and people with disabilities 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.
Full methodology ›Loud transportation noise
1.5%
in the top 11.5% nationally
Lower is healthier
ST92ndUS89thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›The read
On balance, and by the composite measure, Rio, Wisconsin (ZIP 53960) ranks in the top 29% healthiest ZIPs nationally (9,158th) and the top 37% of Wisconsin (281st).
The measures split the difference for this area: pharmacy lies in the top 0.6% nationally, and grocery resides in the top 3.7% nationally. Elder services lands in the top 4.6% nationally, and modeled utility shutoff registers in the bottom 14.9% nationally. Modeled mammography sits in the top 16% nationally. Outer-floodplain exposure rests at the national minimum, shared with about 36% of ZIPs. Against that, modeled loud transportation noise is in the top 11.5% nationally, binge drinking stands in the top 10.5% nationally, and disaster risk settles in the top 12.5% nationally. Distance to a hazardous-chemical facility lies at the national minimum, shared with about 31% of ZIPs.
Compared with the ZIPs it borders, pharmacy runs far higher than the surrounding ZIPs on this measure. In plainer terms, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. 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. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. For a healthier nearby ZIP overall, look to ZIP 53532, 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. Compare it against the US, this state and the Madison, 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 65%
21%
Social Need / SDOH
healthier than 72%
16%
Preventive Care
healthier than 68%
13%
Disability
healthier than 67%
7%
Climate / Disaster Risk
healthier than 71%
5%
About typical
Environmental Hazard
healthier than 57%
14%
Risk Behavior
healthier than 40%
11%
Mental Health
healthier than 55%
8%
Holding it back
Healthcare Access
healthier than 37%
5%
Lifting this score
Chronic Disease Burden
healthier than 66%
21%
Social Need / SDOH
healthier than 65%
16%
About typical
Environmental Hazard
healthier than 54%
14%
Risk Behavior
healthier than 51%
11%
Disability
healthier than 57%
7%
Climate / Disaster Risk
healthier than 44%
5%
Healthcare Access
healthier than 49%
5%
Holding it back
Preventive Care
healthier than 37%
13%
Mental Health
healthier than 38%
8%
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 48%
14%
Climate / Disaster Risk
healthier than 52%
5%
Healthcare Access
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Social Need / SDOH
healthier than 35%
16%
Preventive Care
healthier than 33%
13%
Risk Behavior
healthier than 29%
11%
Mental Health
healthier than 36%
8%
Disability
healthier than 26%
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
53532
Wisconsinshares a border
Score 62.91
Closest healthier
53590
Wisconsinshares a border
Score 64.60
Similar health profile
53001
Wisconsin99% similar profile
Score 57.29
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 | 28.4% | 25.2–31.6 |
| High blood pressure among adults | 33.3% | 29.5–37.1 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.4–10.2 |
| Current asthma among adults | 11.0% | 9.7–12.3 |
| Coronary heart disease among adults | 6.9% | 6.2–7.8 |
| Chronic obstructive pulmonary disease among adults | 7.2% | 6.3–8.2 |
| Depression among adults | 23.7% | 20.3–27.2 |
| Diagnosed diabetes among adults | 11.5% | 10.0–13.2 |
| High cholesterol among adults who have ever been screened | 34.5% | 30.5–38.5 |
| Obesity among adults | 34.2% | 27.4–41.0 |
| Stroke among adults | 3.5% | 3.2–3.9 |
| All teeth lost among adults aged >=65 years | 11.1% | 9.1–13.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.2% | 5.9–8.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.1% | 76.1–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 75.9% | 72.2–79.2 |
| Cholesterol screening among adults | 86.8% | 85.0–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 67.7% | 62.8–72.3 |
| Visited dentist or dental clinic in the past year among adults | 67.1% | 63.8–70.4 |
| Mammography use among women aged 50-74 years | 79.2% | 72.2–84.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.1% | 15.9–22.5 |
| Current cigarette smoking among adults | 15.5% | 13.2–18.2 |
| No leisure-time physical activity among adults | 26.8% | 22.8–31.4 |
| Short sleep duration among adults | 32.6% | 26.7–38.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.5% | 15.3–20.2 |
| Frequent mental distress among adults | 15.8% | 14.0–17.8 |
| Frequent physical distress among adults | 13.8% | 12.2–15.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.1% | 11.5–14.9 |
| Any disability among adults | 30.0% | 26.1–34.3 |
| Hearing disability among adults | 7.3% | 6.5–8.2 |
| Independent living disability among adults | 7.9% | 7.0–9.0 |
| Mobility disability among adults | 14.0% | 12.2–16.1 |
| Self-care disability among adults | 3.6% | 3.2–4.1 |
| Vision disability among adults | 4.3% | 3.9–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.4% | 16.4–22.7 |
| Food insecurity in the past 12 months among adults | 10.7% | 8.9–12.6 |
| Received food stamps in the past 12 months among adults | 11.5% | 9.7–13.6 |
| Housing insecurity in the past 12 months among adults | 8.9% | 7.4–10.4 |
| Lack of reliable transportation in the past 12 months among adults | 6.0% | 5.2–6.9 |
| Loneliness among adults | 30.3% | 25.7–34.9 |
| Utility services shut-off threat in the past 12 months among adults | 5.1% | 4.4–6.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.2% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 6.2% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 4.5% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 23.5% | 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 | 1.7% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 89.0% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 22.3% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 79.3% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.4% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.6% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 54.0% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 18.4% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 44.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $84,911 | $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 | $913 | $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 | 80.9 yr ± 0.81 | 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 0.81 years of 80.9, 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