ZIP code
53955
in Poynette, WisconsinPopulation 6,125
57.54/ 100
Ranked #6,761 of 32,066 US ZIPs (top 21%)
Ranked #177 of 763 Wisconsin ZIPs (top 23%)
Ranked #40 of 67 Madison, 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.
Grocery access
0.34 per 1,000 residents
in the top 3.1% nationally
Higher is healthier
ST96thUS97thDefinition & 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 ›Natural-disaster risk
in the top 6.3% nationally
Lower is healthier
ST95thUS94thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Binge drinking
19.3%
in the top 9.3% nationally
Lower is healthier
ST63rdUS91stDefinition & 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 ›Recreation access
0.84 per 1,000 residents
in the top 12.6% nationally
Higher is healthier
ST90thUS87thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Unemployment rate
0.57%
in the bottom 16% nationally
Lower is healthier
ST7thUS16thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›The read
On the composite measure, Poynette, Wisconsin (ZIP 53955) stands in the top 21% healthiest ZIPs nationally (6,761st) and the top 23% of Wisconsin (177th).
The bright spots in the data define much of the story here: grocery resides in the top 3.1% nationally, and modeled utility shutoff stands in the bottom 12.2% nationally. Recreation sits in the top 12.6% nationally, and modeled mammography resides in the top 12.9% nationally. Unemployment stands in the bottom 16% nationally, modeled transportation sits in the bottom 17% nationally, and modeled food insecurity resides in the bottom 19% nationally. On the other side, modeled disaster risk stands in the top 6.3% nationally, and binge drinking sits in the top 9.3% nationally. Distance to a hazardous-chemical facility resides at the national minimum, shared with about 31% of ZIPs.
Set beside the wider area around it, park land runs far lower than the surrounding ZIPs on this measure. For clarity, 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. ZIP 53532, just across the boundary, ranks better overall among the ZIPs nearby.
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 69%
21%
Social Need / SDOH
healthier than 83%
16%
Environmental Hazard
healthier than 84%
14%
Preventive Care
healthier than 76%
13%
Disability
healthier than 74%
7%
Climate / Disaster Risk
healthier than 61%
5%
About typical
Risk Behavior
healthier than 47%
11%
Mental Health
healthier than 59%
8%
Holding it back
Healthcare Access
healthier than 25%
5%
Lifting this score
Chronic Disease Burden
healthier than 73%
21%
Social Need / SDOH
healthier than 82%
16%
Environmental Hazard
healthier than 89%
14%
Risk Behavior
healthier than 62%
11%
Disability
healthier than 71%
7%
About typical
Preventive Care
healthier than 51%
13%
Mental Health
healthier than 48%
8%
Holding it back
Climate / Disaster Risk
healthier than 28%
5%
Healthcare Access
healthier than 28%
5%
Lifting this score
Social Need / SDOH
healthier than 61%
16%
Environmental Hazard
healthier than 98%
14%
About typical
Preventive Care
healthier than 56%
13%
Mental Health
healthier than 48%
8%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Risk Behavior
healthier than 36%
11%
Disability
healthier than 36%
7%
Climate / Disaster Risk
healthier than 36%
5%
Healthcare Access
healthier than 38%
5%
“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
53555
Wisconsinshares a border
Score 63.50
Similar health profile
53013
Wisconsin98% similar profile
Score 59.41
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 | 28.2% | 25.0–31.3 |
| High blood pressure among adults | 33.0% | 29.2–36.7 |
| Cancer (non-skin) or melanoma among adults | 9.4% | 8.6–10.3 |
| Current asthma among adults | 10.9% | 9.7–12.2 |
| Coronary heart disease among adults | 6.7% | 6.0–7.4 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 6.0–7.7 |
| Depression among adults | 23.6% | 20.2–27.0 |
| Diagnosed diabetes among adults | 11.3% | 9.8–12.9 |
| High cholesterol among adults who have ever been screened | 34.5% | 30.4–38.4 |
| Obesity among adults | 34.0% | 27.3–40.6 |
| Stroke among adults | 3.4% | 3.1–3.6 |
| All teeth lost among adults aged >=65 years | 8.8% | 7.1–10.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.5% | 5.4–7.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.2% | 76.2–81.9 |
| Visits to doctor for routine checkup within the past year among adults | 76.3% | 72.6–79.7 |
| Cholesterol screening among adults | 87.3% | 85.7–88.9 |
| Colorectal cancer screening among adults aged 45–75 years | 68.5% | 63.6–72.9 |
| Visited dentist or dental clinic in the past year among adults | 69.8% | 66.6–73.0 |
| Mammography use among women aged 50-74 years | 79.7% | 72.8–85.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.3% | 16.1–22.7 |
| Current cigarette smoking among adults | 14.6% | 12.5–16.8 |
| No leisure-time physical activity among adults | 25.4% | 21.4–29.6 |
| Short sleep duration among adults | 32.5% | 26.7–38.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.5% | 14.4–18.8 |
| Frequent mental distress among adults | 15.4% | 13.6–17.2 |
| Frequent physical distress among adults | 13.3% | 11.7–14.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.5% | 10.9–14.0 |
| Any disability among adults | 28.7% | 24.9–32.6 |
| Hearing disability among adults | 7.0% | 6.2–7.8 |
| Independent living disability among adults | 7.4% | 6.6–8.3 |
| Mobility disability among adults | 13.2% | 11.4–15.0 |
| Self-care disability among adults | 3.4% | 3.1–3.8 |
| Vision disability among adults | 4.0% | 3.6–4.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.7% | 15.9–21.7 |
| Food insecurity in the past 12 months among adults | 9.8% | 8.2–11.8 |
| Received food stamps in the past 12 months among adults | 10.6% | 8.9–12.6 |
| Housing insecurity in the past 12 months among adults | 8.4% | 7.1–9.9 |
| Lack of reliable transportation in the past 12 months among adults | 5.7% | 5.0–6.6 |
| Loneliness among adults | 29.6% | 25.2–34.1 |
| Utility services shut-off threat in the past 12 months among adults | 4.9% | 4.2–5.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.7% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 3.8% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 3.3% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 28.9% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 0.6% | 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 | 91.9% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 17.7% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 83.7% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 0.3% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 56.0% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 18.3% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 44.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $101,134 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $332,000 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $912 | $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 | 79.4 yr ± 0.93 | 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 0.93 years of 79.4, 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