ZIP code
54154
in Oconto Falls, WisconsinPopulation 5,741
50.56/ 100
Ranked #15,476 of 32,066 US ZIPs (top 48%)
Ranked #543 of 763 Wisconsin ZIPs (bottom 29%)
Ranked #24 of 30 Green Bay, WI ZIPs (bottom 20%)
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.
Mental-health provider access
0.18 per 1,000 residents
in the top 4.9% nationally
Higher is healthier
ST96thUS95thDefinition & source ›
The number of mental-health clinics 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 ›Elder-services access
0.18 per 1,000 residents
in the top 7.9% nationally
Higher is healthier
ST92ndUS92ndDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Grocery access
0.18 per 1,000 residents
in the top 8.4% nationally
Higher is healthier
ST90thUS92ndDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Obesity
43.8%
in the top 6.7% nationally
Lower is healthier
ST94thUS93rdDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Physician access
1.1 per 1,000 residents
in the top 17% nationally
Higher is healthier
ST92ndUS83rdDefinition & 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 ›The read
Oconto Falls, Wisconsin (ZIP 54154), by its composite score, sits in the top 48% healthiest ZIPs nationally (15,476th) and the bottom 29% of Wisconsin (543rd).
The clearest bright points in the data come first here: mental-health providers resides in the top 4.9% nationally. Distance to an emergency room is at the national minimum, shared with about 11% of ZIPs. Elder services lands in the top 7.9% nationally, and grocery stands in the top 8.4% nationally. Distance to a nursing home registers at the national minimum, shared with about 27% of ZIPs. Modeled humid heat settles in the bottom 16% nationally, physicians sits in the top 17% nationally, and dental providers lies in the top 20% nationally. By contrast, modeled obesity rests in the top 6.7% nationally, and fine-particle resides in the top 17% nationally.
For anyone unfamiliar, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. For a healthier comparison close by, see ZIP 54101, 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
Preventive Care
healthier than 64%
13%
Climate / Disaster Risk
healthier than 83%
5%
Healthcare Access
healthier than 67%
5%
About typical
Social Need / SDOH
healthier than 57%
16%
Environmental Hazard
healthier than 59%
14%
Disability
healthier than 44%
7%
Holding it back
Chronic Disease Burden
healthier than 40%
21%
Risk Behavior
healthier than 34%
11%
Mental Health
healthier than 37%
8%
Lifting this score
Climate / Disaster Risk
healthier than 73%
5%
Healthcare Access
healthier than 81%
5%
About typical
Social Need / SDOH
healthier than 41%
16%
Environmental Hazard
healthier than 57%
14%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Preventive Care
healthier than 31%
13%
Risk Behavior
healthier than 40%
11%
Mental Health
healthier than 10%
8%
Disability
healthier than 24%
7%
Lifting this score
Environmental Hazard
healthier than 61%
14%
Climate / Disaster Risk
healthier than 61%
5%
Healthcare Access
healthier than 65%
5%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Social Need / SDOH
healthier than 13%
16%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 22%
11%
Mental Health
in the bottom 0.00%
8%
Disability
healthier than 26%
7%
“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
54101
Wisconsinshares a border
Score 56.17
Closest healthier
54111
Wisconsinshares a border
Score 53.98
Similar health profile
16214
Pennsylvania97% similar profile
Score 50.06
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 | 30.5% | 27.3–33.8 |
| High blood pressure among adults | 36.1% | 32.3–40.0 |
| Cancer (non-skin) or melanoma among adults | 9.4% | 8.5–10.3 |
| Current asthma among adults | 11.6% | 10.3–12.9 |
| Coronary heart disease among adults | 7.8% | 7.0–8.7 |
| Chronic obstructive pulmonary disease among adults | 8.3% | 7.2–9.5 |
| Depression among adults | 24.7% | 21.3–28.4 |
| Diagnosed diabetes among adults | 12.7% | 11.1–14.5 |
| High cholesterol among adults who have ever been screened | 37.0% | 33.0–41.1 |
| Obesity among adults | 43.8% | 36.9–51.2 |
| Stroke among adults | 4.0% | 3.6–4.4 |
| All teeth lost among adults aged >=65 years | 11.5% | 9.2–14.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.9% | 6.5–9.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.3% | 76.6–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 78.7% | 75.4–81.8 |
| Cholesterol screening among adults | 85.9% | 84.1–87.6 |
| Colorectal cancer screening among adults aged 45–75 years | 66.9% | 61.9–71.7 |
| Visited dentist or dental clinic in the past year among adults | 64.4% | 60.8–67.7 |
| Mammography use among women aged 50-74 years | 77.9% | 70.7–84.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.8% | 15.0–21.0 |
| Current cigarette smoking among adults | 16.8% | 14.3–19.6 |
| No leisure-time physical activity among adults | 31.0% | 26.6–35.8 |
| Short sleep duration among adults | 32.2% | 26.1–38.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.2% | 17.5–23.3 |
| Frequent mental distress among adults | 17.1% | 15.2–19.2 |
| Frequent physical distress among adults | 15.1% | 13.3–17.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.5% | 12.7–16.5 |
| Any disability among adults | 34.7% | 30.5–39.2 |
| Hearing disability among adults | 8.3% | 7.4–9.3 |
| Independent living disability among adults | 9.4% | 8.3–10.7 |
| Mobility disability among adults | 16.1% | 14.1–18.5 |
| Self-care disability among adults | 4.3% | 3.8–4.9 |
| Vision disability among adults | 5.2% | 4.7–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.1% | 17.0–23.3 |
| Food insecurity in the past 12 months among adults | 13.7% | 11.2–16.2 |
| Received food stamps in the past 12 months among adults | 15.4% | 12.7–18.2 |
| Housing insecurity in the past 12 months among adults | 10.4% | 8.7–12.3 |
| Lack of reliable transportation in the past 12 months among adults | 7.3% | 6.3–8.4 |
| Loneliness among adults | 30.7% | 26.2–35.4 |
| Utility services shut-off threat in the past 12 months among adults | 6.2% | 5.3–7.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.9% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 6.5% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 7.6% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 22.6% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.7% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 6.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 87.2% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 25.9% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 75.0% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.5% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.3% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 54.2% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 22.1% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 43.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $59,767 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $200,900 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $692 | $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 | 77.9 yr ± 0.91 | 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 0.91 years of 77.9, 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