ZIP code
54150
in Neopit, WisconsinPopulation 1,024
37.53/ 100
Ranked #28,268 of 32,066 US ZIPs (bottom 11.9%)
Ranked #754 of 763 Wisconsin ZIPs (bottom 1.2%)
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.
Crowded housing
18.5%
in the top 1.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Obesity
46.3%
in the top 2.8% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Lack of transportation
15.9%
in the top 5.2% nationally
Lower is healthier
ST98thUS95thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Slow internet speeds
1.9%
in the top 6.0% nationally
Lower is healthier
ST99thUS94thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Food insecurity
29.3%
in the top 6.7% nationally
Lower is healthier
ST98thUS93rdDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Housing insecurity
21.4%
in the top 7.2% nationally
Lower is healthier
ST98thUS93rdDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Energy-cost burden
5.3%
in the top 6.7% nationally
Lower is healthier
ST97thUS93rdDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›High cholesterol
31.9%
in the bottom 6.3% nationally
Lower is healthier
ST7thUS6thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Vision disability
8.5%
in the top 9.6% nationally
Lower is healthier
ST98thUS90thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Independent-living disability
12.2%
in the top 10.3% nationally
Lower is healthier
ST98thUS90thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›The read
Neopit, Wisconsin (ZIP 54150), overall, ranks in the bottom 11.9% nationally (28,268th) and the bottom 1.2% of Wisconsin (754th), based on limited data; treat as directional.
This area's pressures are easy to read across the measures: crowded housing rests in the top 1.4% nationally, modeled obesity registers in the top 2.8% nationally, and modeled transportation resides in the top 5.2% nationally. Slow internet speeds settles in the top 6.0% nationally, modeled food insecurity is in the top 6.7% nationally, and modeled housing insecurity sits in the top 7.2% nationally. Modeled energy burden lands in the top 6.7% nationally, and vision disability lies in the top 9.6% nationally. Modeled independent living disability stands in the top 10.3% nationally. On the brighter side, modeled high cholesterol rests in the bottom 6.3% nationally.
Measured against the nearby ZIPs, crowded housing runs far higher than the surrounding ZIPs on this measure. Defined simply, energy burden is the share of household income that goes to home energy bills. ZIP 54128, just across the boundary, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster RiskPartial
healthier than 94%
5%
About typical
Environmental Hazard
healthier than 57%
14%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Social Need / SDOH
healthier than 2%
16%
Preventive Care
healthier than 18%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 17%
8%
Disability
healthier than 16%
7%
Healthcare Access
healthier than 29%
5%
Lifting this score
Climate / Disaster RiskPartial
healthier than 95%
5%
About typical
Environmental Hazard
healthier than 54%
14%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Social Need / SDOH
in the bottom 0.8%
16%
Preventive Care
healthier than 2%
13%
Risk Behavior
in the bottom 0.2%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 2%
7%
Healthcare Access
healthier than 39%
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
54128
Wisconsinshares a border
Score 46.55
Closest healthier
54135
Wisconsinshares a border
Score 39.82
Similar health profile
15960
Pennsylvania98% similar profile
Score 43.27
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 | 27.3% | 24.6–30.1 |
| High blood pressure among adults | 35.2% | 31.7–38.9 |
| Cancer (non-skin) or melanoma among adults | 6.0% | 5.4–6.6 |
| Current asthma among adults | 14.9% | 13.5–16.4 |
| Coronary heart disease among adults | 7.0% | 6.3–7.9 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.8–8.9 |
| Depression among adults | 23.7% | 20.7–26.9 |
| Diagnosed diabetes among adults | 17.0% | 15.1–19.0 |
| High cholesterol among adults who have ever been screened | 31.9% | 28.5–35.4 |
| Obesity among adults | 46.3% | 39.0–53.6 |
| Stroke among adults | 4.4% | 4.0–4.9 |
| All teeth lost among adults aged >=65 years | 18.8% | 15.6–22.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.7% | 8.1–11.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.7% | 73.0–78.3 |
| Visits to doctor for routine checkup within the past year among adults | 76.7% | 73.6–79.8 |
| Cholesterol screening among adults | 82.7% | 80.7–84.6 |
| Colorectal cancer screening among adults aged 45–75 years | 62.0% | 57.5–66.5 |
| Visited dentist or dental clinic in the past year among adults | 54.1% | 50.8–57.6 |
| Mammography use among women aged 50-74 years | 70.5% | 63.4–77.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.8% | 15.2–20.8 |
| Current cigarette smoking among adults | 24.8% | 21.4–28.2 |
| No leisure-time physical activity among adults | 35.4% | 30.7–40.2 |
| Short sleep duration among adults | 40.9% | 35.3–47.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.9% | 23.7–30.1 |
| Frequent mental distress among adults | 20.7% | 18.6–22.9 |
| Frequent physical distress among adults | 18.0% | 16.0–20.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.2% | 16.1–20.3 |
| Any disability among adults | 39.4% | 35.0–43.9 |
| Hearing disability among adults | 8.8% | 7.8–9.7 |
| Independent living disability among adults | 12.2% | 10.7–13.6 |
| Mobility disability among adults | 19.2% | 16.8–21.6 |
| Self-care disability among adults | 5.0% | 4.4–5.7 |
| Vision disability among adults | 8.5% | 7.5–9.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.2% | 24.8–32.0 |
| Food insecurity in the past 12 months among adults | 29.3% | 25.4–33.6 |
| Received food stamps in the past 12 months among adults | 27.5% | 23.8–31.7 |
| Housing insecurity in the past 12 months among adults | 21.4% | 18.5–24.4 |
| Lack of reliable transportation in the past 12 months among adults | 15.9% | 14.0–17.9 |
| Loneliness among adults | 36.4% | 32.0–41.2 |
| Utility services shut-off threat in the past 12 months among adults | 12.9% | 11.2–14.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.8% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 29.0% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 11.4% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 12.1% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 7.5% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 9.5% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 88.7% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 14.9% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 75.6% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 18.5% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 0.8% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 39.6% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 16.0% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 30.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $54,464 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $66,800 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $542 | $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 | 81.5 yr ± 2.04 | 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 2.04 years of 81.5, 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