ZIP code
54123
in Forest Junction, WisconsinPopulation 204
52.66/ 100
Ranked #12,541 of 32,066 US ZIPs (top 39%)
Ranked #441 of 763 Wisconsin ZIPs (bottom 42%)
Ranked #20 of 23 Appleton, WI ZIPs (bottom 13.1%)
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.
Natural-disaster risk
in the bottom 1.1% nationally
Lower is healthier
ST2ndUS1stDefinition & 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 ›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 ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
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 ›Housing-cost burden
7.5%
in the bottom 6.8% nationally
Lower is healthier
ST2ndUS7thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Homeownership rate
95%
in the top 8.6% nationally
Higher is healthier
ST94thUS91stDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Expected annual disaster loss
$0
in the bottom 10.6% nationally
Lower is healthier
ST6thUS11thDefinition & 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 ›Distance to a community health center
16.4 mi
in the top 10.8% nationally
Lower is healthier
ST93rdUS89thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Tree cover
1.0%
in the bottom 23% nationally
Higher is healthier
ST8thUS23rdDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›The read
Forest Junction, Wisconsin (ZIP 54123) ranks in the top 39% healthiest ZIPs nationally (12,541st) and the bottom 42% of Wisconsin (441st).
Several signals sit on each side of the ledger here: modeled disaster risk resides in the bottom 1.1% nationally, and poverty stands at the national minimum. Floodplain exposure sits at the national minimum, and housing-cost burden resides in the bottom 6.8% nationally. Households without a vehicle stands at the national minimum, shared with about 16% of ZIPs. Homeownership sits in the top 8.6% nationally, and modeled expected annual loss resides in the bottom 10.6% nationally. Working the other way, modeled binge drinking stands in the top 2.3% nationally. Fiber broadband sits at the national minimum, shared with about 19% of ZIPs. Distance to a community health center resides in the top 10.8% nationally.
Against its neighbors, park land runs far lower than the surrounding ZIPs on this measure. For context, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". The closest ZIP that ranks healthier overall is ZIP 54129, 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 Appleton, 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 70%
21%
Social Need / SDOH
healthier than 67%
16%
Climate / Disaster Risk
healthier than 95%
5%
About typical
Environmental Hazard
healthier than 49%
14%
Preventive Care
healthier than 43%
13%
Mental Health
healthier than 54%
8%
Disability
healthier than 58%
7%
Holding it back
Risk Behavior
healthier than 14%
11%
Healthcare Access
healthier than 9%
5%
Lifting this score
Chronic Disease Burden
healthier than 75%
21%
Climate / Disaster Risk
healthier than 97%
5%
About typical
Social Need / SDOH
healthier than 56%
16%
Environmental Hazard
healthier than 41%
14%
Disability
healthier than 44%
7%
Holding it back
Preventive Care
healthier than 11%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 36%
8%
Healthcare Access
healthier than 5%
5%
Lifting this score
Environmental Hazard
healthier than 82%
14%
Climate / Disaster Risk
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 41%
21%
Mental Health
healthier than 45%
8%
Holding it back
Social Need / SDOH
healthier than 32%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
in the bottom 0.00%
11%
Disability
healthier than 5%
7%
Healthcare Access
healthier than 5%
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
54110
Wisconsinshares a border
Score 51.59
Closest healthier
54129
Wisconsinshares a border
Score 54.14
Similar health profile
16332
Pennsylvania96% similar profile
Score 52.63
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 | 25.5% | 22.3–28.8 |
| High blood pressure among adults | 33.7% | 29.8–37.8 |
| Cancer (non-skin) or melanoma among adults | 8.2% | 7.3–9.2 |
| Current asthma among adults | 10.2% | 9.0–11.5 |
| Coronary heart disease among adults | 7.9% | 6.7–9.1 |
| Chronic obstructive pulmonary disease among adults | 7.1% | 5.8–8.5 |
| Depression among adults | 23.1% | 19.7–26.6 |
| Diagnosed diabetes among adults | 11.7% | 9.9–13.7 |
| High cholesterol among adults who have ever been screened | 34.1% | 30.1–38.2 |
| Obesity among adults | 35.9% | 29.0–43.0 |
| Stroke among adults | 3.6% | 3.0–4.2 |
| All teeth lost among adults aged >=65 years | 7.4% | 6.0–9.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 6.6–11.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.3% | 74.1–80.4 |
| Visits to doctor for routine checkup within the past year among adults | 75.4% | 71.4–79.2 |
| Cholesterol screening among adults | 84.0% | 81.2–86.5 |
| Colorectal cancer screening among adults aged 45–75 years | 64.4% | 59.9–69.0 |
| Visited dentist or dental clinic in the past year among adults | 66.5% | 63.3–69.7 |
| Mammography use among women aged 50-74 years | 77.6% | 71.1–83.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.6% | 18.0–25.5 |
| Current cigarette smoking among adults | 16.8% | 13.5–20.4 |
| No leisure-time physical activity among adults | 29.1% | 23.9–34.7 |
| Short sleep duration among adults | 34.1% | 28.9–39.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.8% | 15.5–22.3 |
| Frequent mental distress among adults | 16.3% | 14.2–18.6 |
| Frequent physical distress among adults | 13.7% | 11.6–15.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.0% | 11.8–16.3 |
| Any disability among adults | 31.0% | 26.2–35.8 |
| Hearing disability among adults | 8.4% | 7.2–9.6 |
| Independent living disability among adults | 8.1% | 6.7–9.5 |
| Mobility disability among adults | 13.5% | 11.0–16.0 |
| Self-care disability among adults | 3.8% | 3.2–4.6 |
| Vision disability among adults | 4.6% | 3.9–5.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.5% | 16.8–24.3 |
| Food insecurity in the past 12 months among adults | 12.2% | 9.4–15.4 |
| Received food stamps in the past 12 months among adults | 13.1% | 10.1–16.5 |
| Housing insecurity in the past 12 months among adults | 9.9% | 7.9–12.1 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 5.6–8.2 |
| Loneliness among adults | 29.5% | 24.7–34.5 |
| Utility services shut-off threat in the past 12 months among adults | 5.7% | 4.6–6.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 24.1% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 6.4% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 14.1% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 2.3% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 86.3% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 7.5% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 95.0% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 61.5% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 20.6% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 48.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $58,750 | $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 | 79.4 yr ± 1.39 | 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 1.39 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