ZIP code
54963
in Omro, WisconsinPopulation 7,271
56.59/ 100
Ranked #7,662 of 32,066 US ZIPs (top 24%)
Ranked #218 of 763 Wisconsin ZIPs (top 29%)
Ranked #6 of 12 Oshkosh-Neenah, WI ZIPs (top 50%)
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
21.4%
in the top 2.5% nationally
Lower is healthier
ST94thUS98thDefinition & 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 ›Mammography
82.4%
in the top 3.3% nationally
Higher is healthier
ST90thUS97thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Loneliness
28.1%
in the bottom 7.9% nationally
Lower is healthier
ST16thUS8thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Utility shut-off threat
4.7%
in the bottom 9.7% nationally
Lower is healthier
ST33rdUS10thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Colon-cancer screening
72.8%
in the top 7.9% nationally
Higher is healthier
ST85thUS92ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Floodplain exposure
22.6%
in the top 15.0% nationally
Lower is healthier
ST91stUS85thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Arsenic in groundwater
10.0%
in the top 17% nationally
Lower is healthier
ST94thUS83rdDefinition & 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, Omro, Wisconsin (ZIP 54963) ranks in the top 24% healthiest ZIPs nationally (7,662nd) and the top 29% of Wisconsin (218th).
The signals balance out across the profile, strengths against concerns: modeled mammography rests in the top 3.3% nationally, and loneliness stands in the bottom 7.9% nationally. Modeled utility shutoff lies in the bottom 9.7% nationally, and colon screening lands in the top 7.9% nationally. Distance to a nursing home sits at the national minimum, shared with about 27% of ZIPs. Grocery is in the top 13.7% nationally, modeled short sleep settles in the bottom 15% nationally, and modeled food insecurity resides in the bottom 16% nationally. Set against that, modeled binge drinking registers in the top 2.5% nationally, and floodplain exposure rests in the top 15.0% nationally.
To spell things out, floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Close by, ZIP 54904, 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 Oshkosh-Neenah, 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 64%
21%
Social Need / SDOH
healthier than 79%
16%
Preventive Care
healthier than 89%
13%
Mental Health
healthier than 64%
8%
Disability
healthier than 76%
7%
About typical
Environmental Hazard
healthier than 44%
14%
Climate / Disaster Risk
healthier than 40%
5%
Healthcare Access
healthier than 47%
5%
Holding it back
Risk Behavior
healthier than 36%
11%
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Social Need / SDOH
healthier than 75%
16%
Preventive Care
healthier than 81%
13%
Mental Health
healthier than 61%
8%
Disability
healthier than 76%
7%
Healthcare Access
healthier than 64%
5%
About typical
Risk Behavior
healthier than 44%
11%
Holding it back
Environmental Hazard
healthier than 35%
14%
Climate / Disaster Risk
healthier than 10%
5%
Lifting this score
Mental Health
healthier than 73%
8%
About typical
Social Need / SDOH
healthier than 55%
16%
Environmental Hazard
healthier than 55%
14%
Preventive Care
healthier than 45%
13%
Disability
healthier than 45%
7%
Healthcare Access
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 36%
21%
Risk Behavior
healthier than 36%
11%
Climate / Disaster Risk
healthier than 27%
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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 81.3 ± 1.5 years. A median household income of $86,227 predicts 79.5 years — 1.8 years above.
Ranked #1,060 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
54904
Wisconsinshares a border
Score 59.72
Closest healthier
54927
Wisconsinshares a border
Score 59.38
Similar health profile
53023
Wisconsin98% similar profile
Score 56.93
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 | 29.0% | 26.3–31.9 |
| High blood pressure among adults | 33.5% | 30.3–36.7 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.3–10.1 |
| Current asthma among adults | 11.0% | 9.8–12.2 |
| Coronary heart disease among adults | 6.4% | 5.8–7.1 |
| Chronic obstructive pulmonary disease among adults | 6.4% | 5.6–7.1 |
| Depression among adults | 23.0% | 20.1–26.2 |
| Diagnosed diabetes among adults | 11.3% | 10.0–12.8 |
| High cholesterol among adults who have ever been screened | 35.4% | 32.0–38.9 |
| Obesity among adults | 40.4% | 35.4–45.8 |
| Stroke among adults | 3.2% | 3.0–3.5 |
| All teeth lost among adults aged >=65 years | 9.8% | 7.9–11.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.0% | 5.9–8.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.4% | 75.6–81.0 |
| Visits to doctor for routine checkup within the past year among adults | 79.0% | 75.9–81.8 |
| Cholesterol screening among adults | 87.1% | 85.5–88.7 |
| Colorectal cancer screening among adults aged 45–75 years | 72.8% | 68.8–76.7 |
| Visited dentist or dental clinic in the past year among adults | 71.0% | 67.9–73.9 |
| Mammography use among women aged 50-74 years | 82.4% | 76.8–87.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.4% | 18.4–24.7 |
| Current cigarette smoking among adults | 14.2% | 12.3–16.4 |
| No leisure-time physical activity among adults | 26.7% | 23.4–30.4 |
| Short sleep duration among adults | 31.1% | 26.6–36.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.5% | 14.5–18.7 |
| Frequent mental distress among adults | 15.3% | 13.6–17.1 |
| Frequent physical distress among adults | 12.6% | 11.2–14.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.3% | 11.0–13.9 |
| Any disability among adults | 27.9% | 24.7–31.2 |
| Hearing disability among adults | 6.8% | 6.1–7.6 |
| Independent living disability among adults | 7.3% | 6.5–8.1 |
| Mobility disability among adults | 13.0% | 11.5–14.7 |
| Self-care disability among adults | 3.3% | 2.9–3.6 |
| Vision disability among adults | 3.9% | 3.5–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.7% | 16.9–22.7 |
| Food insecurity in the past 12 months among adults | 9.4% | 7.9–11.1 |
| Received food stamps in the past 12 months among adults | 9.8% | 8.3–11.4 |
| Housing insecurity in the past 12 months among adults | 8.6% | 7.3–10.1 |
| Lack of reliable transportation in the past 12 months among adults | 5.7% | 5.0–6.5 |
| Loneliness among adults | 28.1% | 24.3–32.1 |
| Utility services shut-off threat in the past 12 months among adults | 4.7% | 4.0–5.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.9% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 5.6% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 4.3% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 27.7% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.3% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 3.3% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 91.2% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 24.3% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 82.8% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.0% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 50.5% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 19.9% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 42.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $86,227 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $238,200 | $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 | 81.3 yr ± 0.77 | 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 0.77 years of 81.3, 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