ZIP code
54956
in Neenah, WisconsinPopulation 46,567
56.82/ 100
Ranked #7,444 of 32,066 US ZIPs (top 23%)
Ranked #210 of 763 Wisconsin ZIPs (top 28%)
Ranked #5 of 12 Oshkosh-Neenah, WI ZIPs (top 42%)
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
21.6%
in the top 2.3% nationally
Lower is healthier
ST95thUS98thDefinition & 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 ›Expected annual disaster loss
$0
in the top 2.5% nationally
Lower is healthier
ST96thUS98thDefinition & 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 ›Lead in tap water
7.5 ppb
in the top 5.4% nationally
Lower is healthier
US95thDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Mammography
82.3%
in the top 3.4% nationally
Higher is healthier
ST89thUS97thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Loneliness
28%
in the bottom 7.3% nationally
Lower is healthier
ST14thUS7thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Natural-disaster risk
in the top 9.7% nationally
Lower is healthier
ST92ndUS90thDefinition & 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 ›Physician access
1.4 per 1,000 residents
in the top 12.1% nationally
Higher is healthier
ST96thUS88thDefinition & source ›
The number of physicians’ offices 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 ›Subsidized affordable housing
185 units
in the top 12.6% nationally
Higher is healthier
ST94thUS87thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Outer-floodplain exposure
2.0%
in the top 14.8% nationally
Lower is healthier
ST95thUS85thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
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
10.5%
in the top 16% nationally
Lower is healthier
ST94thUS84thDefinition & 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
Overall, Neenah, Wisconsin (ZIP 54956) places in the top 23% healthiest ZIPs nationally (7,444th) and the top 28% of Wisconsin (210th).
The measures land in both directions, and neither dominates: modeled mammography resides in the top 3.4% nationally, and loneliness is in the bottom 7.3% nationally. Physicians lands in the top 12.1% nationally, and subsidized affordable housing stands in the top 12.6% nationally. Pulling the other way, modeled binge drinking registers in the top 2.3% nationally, modeled expected annual loss settles in the top 2.5% nationally, and lead in tap water sits in the top 5.4% nationally. Modeled disaster risk lies in the top 9.7% nationally, distance to a Superfund site rests in the bottom 10.8% nationally, and modeled industrial-pollution burden resides in the top 12.7% nationally.
Beside the areas that surround it, expected annual loss runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Among nearby ZIPs, the nearest healthier one overall is ZIP 54904, 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 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 71%
21%
Social Need / SDOH
healthier than 86%
16%
Preventive Care
healthier than 84%
13%
Mental Health
healthier than 62%
8%
Disability
healthier than 79%
7%
Climate / Disaster Risk
healthier than 72%
5%
Healthcare Access
healthier than 63%
5%
Holding it back
Environmental Hazard
healthier than 7%
14%
Risk Behavior
healthier than 39%
11%
Lifting this score
Chronic Disease Burden
healthier than 77%
21%
Social Need / SDOH
healthier than 87%
16%
Preventive Care
healthier than 70%
13%
Disability
healthier than 80%
7%
Healthcare Access
healthier than 79%
5%
About typical
Risk Behavior
healthier than 50%
11%
Mental Health
healthier than 55%
8%
Climate / Disaster Risk
healthier than 46%
5%
Holding it back
Environmental Hazard
healthier than 3%
14%
Lifting this score
Chronic Disease Burden
healthier than 73%
21%
Social Need / SDOH
healthier than 73%
16%
Climate / Disaster Risk
healthier than 82%
5%
Healthcare Access
healthier than 64%
5%
About typical
Risk Behavior
healthier than 45%
11%
Mental Health
healthier than 45%
8%
Disability
healthier than 55%
7%
Holding it back
Environmental Hazard
healthier than 27%
14%
Preventive Care
healthier than 36%
13%
“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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 6.8 (bottom 10%); chronic-disease standing 71.5 — 65 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,881 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
54901
Wisconsinshares a border
Score 48.41
Closest healthier
54904
Wisconsinshares a border
Score 59.72
Similar health profile
41051
Kentucky98% similar profile
Score 56.57
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 | 27.4% | 24.8–30.0 |
| High blood pressure among adults | 31.9% | 28.8–35.0 |
| Cancer (non-skin) or melanoma among adults | 8.7% | 7.9–9.5 |
| Current asthma among adults | 11.0% | 9.8–12.3 |
| Coronary heart disease among adults | 6.0% | 5.4–6.6 |
| Chronic obstructive pulmonary disease among adults | 6.0% | 5.4–6.7 |
| Depression among adults | 23.3% | 20.4–26.4 |
| Diagnosed diabetes among adults | 10.7% | 9.4–12.0 |
| High cholesterol among adults who have ever been screened | 34.1% | 30.8–37.5 |
| Obesity among adults | 39.9% | 34.8–45.0 |
| Stroke among adults | 3.0% | 2.8–3.3 |
| All teeth lost among adults aged >=65 years | 9.1% | 7.4–11.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.9% | 5.9–7.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.3% | 74.5–79.9 |
| Visits to doctor for routine checkup within the past year among adults | 78.6% | 75.6–81.5 |
| Cholesterol screening among adults | 86.4% | 84.9–88.0 |
| Colorectal cancer screening among adults aged 45–75 years | 71.4% | 67.3–75.3 |
| Visited dentist or dental clinic in the past year among adults | 69.2% | 66.2–72.1 |
| Mammography use among women aged 50-74 years | 82.3% | 76.7–87.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.6% | 18.5–24.9 |
| Current cigarette smoking among adults | 13.5% | 11.8–15.4 |
| No leisure-time physical activity among adults | 25.9% | 22.7–29.3 |
| Short sleep duration among adults | 31.3% | 26.8–36.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.1% | 14.3–18.0 |
| Frequent mental distress among adults | 15.3% | 13.7–17.1 |
| Frequent physical distress among adults | 12.1% | 10.8–13.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.3% | 11.1–13.8 |
| Any disability among adults | 27.1% | 24.1–30.2 |
| Hearing disability among adults | 6.4% | 5.8–7.2 |
| Independent living disability among adults | 7.3% | 6.6–8.1 |
| Mobility disability among adults | 12.4% | 11.1–13.9 |
| Self-care disability among adults | 3.2% | 2.9–3.5 |
| Vision disability among adults | 3.9% | 3.6–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.1% | 16.5–22.0 |
| Food insecurity in the past 12 months among adults | 9.9% | 8.6–11.5 |
| Received food stamps in the past 12 months among adults | 10.7% | 9.4–12.3 |
| Housing insecurity in the past 12 months among adults | 8.9% | 7.7–10.3 |
| Lack of reliable transportation in the past 12 months among adults | 6.0% | 5.3–6.8 |
| Loneliness among adults | 28.0% | 24.3–32.0 |
| Utility services shut-off threat in the past 12 months among adults | 5.0% | 4.3–5.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.9% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 5.9% | 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+) | 38.4% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.8% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 3.6% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 94.6% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 19.6% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 69.2% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.6% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 3.0% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 52.2% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 15.5% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 39.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $85,869 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $256,900 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,058 | $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 ± 0.79 | 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 0.79 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