ZIP code
54307
in Allouez, WisconsinPopulation 1,128
48.19/ 100
Ranked #18,693 of 32,066 US ZIPs (bottom 42%)
Ranked #646 of 763 Wisconsin ZIPs (bottom 15%)
Ranked #27 of 30 Green Bay, WI ZIPs (bottom 10.0%)
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.
High cholesterol
22%
in the bottom 1.1% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Colon-cancer screening
46.7%
in the bottom 1.1% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Binge drinking
24.5%
in the top 0.7% 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 ›Coronary heart disease
3.1%
in the bottom 1.6% 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 ›Hearing disability
3.5%
in the bottom 1.4% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Mammography
84.6%
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 ›Fatal road crashes
0 per 100,000 residents per year
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Obesity
47.8%
in the top 1.6% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Stroke
2.0%
in the bottom 2.3% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›The read
Judged by its overall standing, ZIP 54307, one of several in Allouez, Wisconsin sits in the bottom 42% nationally (18,693rd) and the bottom 15% of Wisconsin (646th), based on limited data; treat as directional.
A demanding profile, and several measures drive it: modeled colon screening is in the bottom 1.1% nationally, binge drinking lies in the top 0.7% nationally, and obesity registers in the top 1.6% nationally. On the stronger side, modeled high cholesterol is in the bottom 1.1% nationally, coronary heart disease lies in the bottom 1.6% nationally, and hearing disability registers in the bottom 1.4% nationally. Modeled mammography is in the top 0.8% nationally, and fatal road crashes lies at the national minimum. Floodplain exposure registers at the national minimum, and modeled stroke is in the bottom 2.3% nationally.
Placed beside its immediate neighbors, park land runs far lower than the surrounding ZIPs on this measure. Put plainly, floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". A healthier nearby ZIP overall is ZIP 54301, 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 Green Bay, 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 97%
21%
Mental Health
healthier than 76%
8%
Disability
healthier than 77%
7%
Climate / Disaster Risk
healthier than 88%
5%
Healthcare Access
healthier than 66%
5%
Holding it back
Social Need / SDOHPartial
healthier than 3%
16%
Environmental Hazard
healthier than 7%
14%
Preventive Care
healthier than 2%
13%
Risk Behavior
in the bottom 0.9%
11%
Lifting this score
Chronic Disease Burden
in the top 0.7%
21%
Mental Health
healthier than 82%
8%
Disability
healthier than 78%
7%
Climate / Disaster Risk
healthier than 84%
5%
Healthcare Access
healthier than 81%
5%
Holding it back
Social Need / SDOHPartial
in the bottom 0.9%
16%
Environmental Hazard
healthier than 4%
14%
Preventive Care
in the bottom 0.2%
13%
Risk Behavior
in the bottom 0.09%
11%
Lifting this score
Chronic Disease Burden
in the top 0.00%
21%
Mental Health
healthier than 86%
8%
Disability
healthier than 67%
7%
Climate / Disaster Risk
healthier than 72%
5%
About typical
Healthcare Access
healthier than 57%
5%
Holding it back
Social Need / SDOHPartial
in the bottom 0.00%
16%
Environmental Hazard
healthier than 2%
14%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
in the bottom 0.00%
11%
“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
54301
Wisconsinshares a border
Score 55.74
Closest healthier
54304
Wisconsinabout 0.3 mi away
Score 51.65
Similar health profile
30250
Georgia97% similar profile
Score 49.47
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 | 10.7% | 9.3–12.2 |
| High blood pressure among adults | 27.4% | 24.4–30.5 |
| Cancer (non-skin) or melanoma among adults | 2.0% | 1.8–2.3 |
| Current asthma among adults | 9.3% | 8.1–10.7 |
| Coronary heart disease among adults | 3.1% | 2.7–3.6 |
| Chronic obstructive pulmonary disease among adults | 3.6% | 3.0–4.3 |
| Depression among adults | 16.8% | 14.3–19.5 |
| Diagnosed diabetes among adults | 7.5% | 6.4–8.6 |
| High cholesterol among adults who have ever been screened | 22.0% | 19.4–24.7 |
| Obesity among adults | 47.8% | 42.9–53.0 |
| Stroke among adults | 2.0% | 1.7–2.2 |
| All teeth lost among adults aged >=65 years | 10.5% | 8.5–12.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 17.3% | 13.2–22.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 53.0% | 48.6–57.3 |
| Visits to doctor for routine checkup within the past year among adults | 68.0% | 63.6–72.3 |
| Cholesterol screening among adults | 71.3% | 66.8–75.5 |
| Colorectal cancer screening among adults aged 45–75 years | 46.7% | 42.1–51.4 |
| Visited dentist or dental clinic in the past year among adults | 52.5% | 48.9–56.1 |
| Mammography use among women aged 50-74 years | 84.6% | 79.7–88.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 24.5% | 20.9–28.7 |
| Current cigarette smoking among adults | 19.7% | 16.5–23.2 |
| No leisure-time physical activity among adults | 30.6% | 25.9–35.5 |
| Short sleep duration among adults | 41.9% | 37.2–46.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.3% | 17.6–25.9 |
| Frequent mental distress among adults | 18.3% | 16.1–20.7 |
| Frequent physical distress among adults | 10.8% | 9.2–12.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.9% | 15.1–21.2 |
| Any disability among adults | 30.0% | 25.4–35.1 |
| Hearing disability among adults | 3.5% | 3.1–4.1 |
| Independent living disability among adults | 8.2% | 6.8–9.9 |
| Mobility disability among adults | 8.0% | 6.6–9.6 |
| Self-care disability among adults | 3.3% | 2.7–3.9 |
| Vision disability among adults | 5.0% | 4.2–6.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 34.4% | 29.8–39.2 |
| Food insecurity in the past 12 months among adults | 26.0% | 20.8–32.0 |
| Received food stamps in the past 12 months among adults | 23.6% | 18.6–29.2 |
| Housing insecurity in the past 12 months among adults | 22.9% | 19.1–27.2 |
| Lack of reliable transportation in the past 12 months among adults | 14.0% | 11.6–17.0 |
| Loneliness among adults | 38.8% | 34.0–43.9 |
| Utility services shut-off threat in the past 12 months among adults | 12.1% | 10.2–14.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | — | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | — | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 33.3% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 0.0% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | — | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | — | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | — | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | — | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | — | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | — | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 0.4% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | — | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 1.4% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 34.6 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 | 78.9 yr ± 1.49 | 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 1.49 years of 78.9, 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