ZIP code
54964
in Pickett, WisconsinPopulation 974
54.81/ 100
Ranked #9,689 of 32,066 US ZIPs (top 30%)
Ranked #307 of 763 Wisconsin ZIPs (top 40%)
Ranked #8 of 12 Oshkosh-Neenah, WI ZIPs (bottom 33%)
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.
Colon-cancer screening
75.4%
in the top 2.5% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Utility shut-off threat
4.5%
in the bottom 7.6% nationally
Lower is healthier
ST24thUS8thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Binge drinking
19.7%
in the top 7.4% nationally
Lower is healthier
ST72ndUS93rdDefinition & 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
81.2%
in the top 6.1% nationally
Higher is healthier
ST82ndUS94thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Industrial-pollution burden
in the top 9.7% nationally
Lower is healthier
ST90thUS90thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Floodplain exposure
28.7%
in the top 10.8% nationally
Lower is healthier
ST96thUS89thDefinition & 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 ›Households without a vehicle
0.27%
in the bottom 16% nationally
Lower is healthier
ST6thUS16thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›The read
Pickett, Wisconsin (ZIP 54964), in overall standing, comes out in the top 30% healthiest ZIPs nationally (9,689th) and the top 40% of Wisconsin (307th).
The measures that most flatter this area set the tone for the rest: modeled colon screening resides in the top 2.5% nationally, utility shutoff sits in the bottom 7.6% nationally, and mammography stands in the top 6.1% nationally. Modeled loneliness resides in the bottom 10.9% nationally, and short sleep sits in the bottom 11.5% nationally. Crowded housing stands at the national minimum, shared with about 29% of ZIPs. Against that, modeled binge drinking resides in the top 7.4% nationally, and industrial-pollution burden sits in the top 9.7% nationally. Floodplain exposure stands in the top 10.8% nationally, and walkability resides in the bottom 12.5% nationally.
Set within its surrounding area, park land runs far lower than the surrounding ZIPs on this measure. Defined simply, for reference, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". The closest healthier ZIP 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
Social Need / SDOH
healthier than 69%
16%
Preventive Care
healthier than 91%
13%
Mental Health
healthier than 61%
8%
Disability
healthier than 68%
7%
About typical
Chronic Disease Burden
healthier than 51%
21%
Environmental Hazard
healthier than 54%
14%
Risk Behavior
healthier than 48%
11%
Holding it back
Climate / Disaster Risk
healthier than 31%
5%
Healthcare Access
healthier than 27%
5%
Lifting this score
Preventive Care
healthier than 85%
13%
Risk Behavior
healthier than 63%
11%
About typical
Chronic Disease Burden
healthier than 41%
21%
Social Need / SDOH
healthier than 60%
16%
Environmental Hazard
healthier than 49%
14%
Mental Health
healthier than 51%
8%
Disability
healthier than 60%
7%
Holding it back
Climate / Disaster Risk
healthier than 4%
5%
Healthcare Access
healthier than 35%
5%
Lifting this score
Environmental Hazard
healthier than 64%
14%
Preventive Care
healthier than 64%
13%
Risk Behavior
healthier than 64%
11%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
healthier than 27%
16%
Mental Health
healthier than 36%
8%
Disability
healthier than 36%
7%
Climate / Disaster Risk
healthier than 9%
5%
Healthcare Access
healthier than 36%
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
54904
Wisconsinshares a border
Score 59.72
Closest healthier
54932
Wisconsinshares a border
Score 55.05
Similar health profile
53059
Wisconsin98% similar profile
Score 54.14
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 | 31.0% | 28.3–33.5 |
| High blood pressure among adults | 35.4% | 32.4–38.1 |
| Cancer (non-skin) or melanoma among adults | 9.9% | 9.1–10.7 |
| Current asthma among adults | 11.1% | 10.0–12.2 |
| Coronary heart disease among adults | 7.2% | 6.4–8.0 |
| Chronic obstructive pulmonary disease among adults | 7.0% | 6.0–8.0 |
| Depression among adults | 23.5% | 20.9–26.2 |
| Diagnosed diabetes among adults | 12.1% | 10.7–13.6 |
| High cholesterol among adults who have ever been screened | 37.0% | 34.0–39.9 |
| Obesity among adults | 41.1% | 36.4–45.4 |
| Stroke among adults | 3.6% | 3.2–3.9 |
| All teeth lost among adults aged >=65 years | 9.7% | 8.1–11.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.8% | 5.7–8.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.2% | 77.9–82.3 |
| Visits to doctor for routine checkup within the past year among adults | 79.8% | 77.3–82.1 |
| Cholesterol screening among adults | 87.4% | 85.9–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 75.4% | 72.3–78.5 |
| Visited dentist or dental clinic in the past year among adults | 69.5% | 66.8–72.0 |
| Mammography use among women aged 50-74 years | 81.2% | 76.5–85.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.7% | 17.3–22.2 |
| Current cigarette smoking among adults | 14.1% | 11.9–16.6 |
| No leisure-time physical activity among adults | 27.9% | 24.2–31.7 |
| Short sleep duration among adults | 30.4% | 26.7–34.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.2% | 15.1–19.7 |
| Frequent mental distress among adults | 15.3% | 13.6–17.0 |
| Frequent physical distress among adults | 13.3% | 11.8–14.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.6% | 11.1–14.3 |
| Any disability among adults | 29.9% | 26.6–33.4 |
| Hearing disability among adults | 7.6% | 6.8–8.4 |
| Independent living disability among adults | 7.7% | 6.8–8.7 |
| Mobility disability among adults | 14.4% | 12.5–16.4 |
| Self-care disability among adults | 3.5% | 3.1–4.0 |
| Vision disability among adults | 4.2% | 3.7–4.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.4% | 17.0–22.1 |
| Food insecurity in the past 12 months among adults | 9.5% | 7.9–11.3 |
| Received food stamps in the past 12 months among adults | 10.1% | 8.2–12.1 |
| Housing insecurity in the past 12 months among adults | 8.3% | 7.0–9.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.7% | 4.9–6.6 |
| Loneliness among adults | 28.6% | 25.3–32.0 |
| Utility services shut-off threat in the past 12 months among adults | 4.5% | 3.9–5.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.5% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 6.0% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 1.8% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 23.0% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 2.4% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 0.3% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 82.2% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 22.1% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 90.2% | 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 | 0.2% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 72.4% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 20.1% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 48.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $82,857 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $268,300 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $979 | $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 | 80.3 yr ± 0.96 | 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 0.96 years of 80.3, 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