ZIP code
53031
in Hingham, WisconsinPopulation 105
58.60/ 100
Ranked #5,897 of 32,066 US ZIPs (top 18%)
Ranked #137 of 763 Wisconsin ZIPs (top 18%)
Ranked #6 of 14 Sheboygan, WI ZIPs (top 43%)
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
25.4%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Natural-disaster risk
in the bottom 0.08% nationally
Lower is healthier
ST1stUS1stDefinition & 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 ›High cholesterol
27.1%
in the bottom 1.7% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Expected annual disaster loss
$0
in the bottom 1.7% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Mammography
84.7%
in the top 0.8% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Housing-cost burden
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Coronary heart disease
3.3%
in the bottom 1.8% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Transportation noise
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Home broadband subscription
58.3%
in the bottom 2.6% nationally
Higher is healthier
ST1stUS3rdDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Diabetes
6.6%
in the bottom 2.0% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›The read
Hingham, Wisconsin (ZIP 53031), overall, ranks in the top 18% healthiest ZIPs nationally (5,897th) and the top 18% of Wisconsin (137th).
Taken together, the data gives a genuinely mixed reading: modeled high cholesterol lies in the bottom 1.7% nationally, expected annual loss stands in the bottom 1.7% nationally, and mammography rests in the top 0.8% nationally. Housing-cost burden registers at the national minimum, modeled coronary heart disease resides in the bottom 1.8% nationally, and modeled transportation noise settles at the national minimum. Modeled diabetes is in the bottom 2.0% nationally, and stroke sits in the bottom 2.0% nationally. On the other side, modeled binge drinking lands in the top 0.5% nationally, and home broadband subscription lies in the bottom 2.6% nationally.
Measured against the nearby ZIPs, walkability runs far higher than the surrounding ZIPs on this measure. Defined simply, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. ZIP 53013, about 1.1 miles away, comes out 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 Sheboygan, 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 95%
21%
Social Need / SDOH
healthier than 63%
16%
Environmental Hazard
healthier than 84%
14%
Disability
healthier than 94%
7%
About typical
Climate / Disaster Risk
healthier than 49%
5%
Holding it back
Preventive Care
healthier than 33%
13%
Risk Behavior
healthier than 21%
11%
Mental Health
healthier than 35%
8%
Healthcare Access
healthier than 24%
5%
Lifting this score
Chronic Disease Burden
healthier than 99%
21%
Environmental Hazard
healthier than 90%
14%
Disability
healthier than 99%
7%
About typical
Social Need / SDOH
healthier than 49%
16%
Holding it back
Preventive Care
healthier than 6%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 8%
8%
Climate / Disaster Risk
healthier than 17%
5%
Healthcare Access
healthier than 28%
5%
Lifting this score
Chronic Disease Burden
in the top 0.00%
21%
Environmental Hazard
healthier than 80%
14%
Disability
in the top 0.00%
7%
Holding it back
Social Need / SDOH
in the bottom 0.00%
16%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
in the bottom 0.00%
8%
Climate / Disaster Risk
healthier than 20%
5%
Healthcare Access
in the bottom 0.00%
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
53093
Wisconsinshares a border
Score 58.34
Closest healthier
53013
Wisconsinabout 1.1 mi away
Score 59.41
Similar health profile
62424
Illinois96% similar profile
Score 55.59
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 | 18.6% | 15.6–21.7 |
| High blood pressure among adults | 25.1% | 21.0–29.3 |
| Cancer (non-skin) or melanoma among adults | 5.8% | 5.0–6.6 |
| Current asthma among adults | 10.7% | 9.2–12.4 |
| Coronary heart disease among adults | 3.3% | 2.6–4.1 |
| Chronic obstructive pulmonary disease among adults | 3.8% | 2.8–5.1 |
| Depression among adults | 24.9% | 20.8–29.3 |
| Diagnosed diabetes among adults | 6.6% | 5.2–8.2 |
| High cholesterol among adults who have ever been screened | 27.1% | 23.2–31.2 |
| Obesity among adults | 37.2% | 30.4–44.6 |
| Stroke among adults | 1.9% | 1.5–2.4 |
| All teeth lost among adults aged >=65 years | 13.5% | 10.9–16.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.3% | 4.9–11.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 65.8% | 60.5–70.6 |
| Visits to doctor for routine checkup within the past year among adults | 73.7% | 69.1–78.1 |
| Cholesterol screening among adults | 85.8% | 82.3–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 56.2% | 50.7–61.5 |
| Visited dentist or dental clinic in the past year among adults | 68.1% | 64.7–71.2 |
| Mammography use among women aged 50-74 years | 84.7% | 79.6–88.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 25.4% | 21.0–30.3 |
| Current cigarette smoking among adults | 13.3% | 8.9–18.3 |
| No leisure-time physical activity among adults | 23.5% | 17.7–30.1 |
| Short sleep duration among adults | 34.5% | 29.3–39.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.6% | 10.1–17.8 |
| Frequent mental distress among adults | 17.2% | 14.1–20.6 |
| Frequent physical distress among adults | 11.0% | 8.7–13.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.2% | 9.4–15.4 |
| Any disability among adults | 22.8% | 17.8–28.4 |
| Hearing disability among adults | 4.1% | 3.3–4.9 |
| Independent living disability among adults | 6.4% | 4.9–8.2 |
| Mobility disability among adults | 8.4% | 6.1–10.9 |
| Self-care disability among adults | 2.4% | 1.8–3.1 |
| Vision disability among adults | 3.0% | 2.3–3.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.3% | 15.3–23.5 |
| Food insecurity in the past 12 months among adults | 9.3% | 6.1–13.1 |
| Received food stamps in the past 12 months among adults | 9.3% | 5.7–13.3 |
| Housing insecurity in the past 12 months among adults | 9.4% | 6.6–12.3 |
| Lack of reliable transportation in the past 12 months among adults | 5.5% | 4.1–7.1 |
| Loneliness among adults | 30.2% | 25.7–35.1 |
| Utility services shut-off threat in the past 12 months among adults | 5.1% | 3.7–6.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.4% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 30.9% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 38.2% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 58.3% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 0.0% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 58.3% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 21.9% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 0.0% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 0.0% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 30.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | — | $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 | 81.9 yr ± 1.79 | 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 1.79 years of 81.9, 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