ZIP code
54136
in Kimberly, WisconsinPopulation 7,019
55.71/ 100
Ranked #8,618 of 32,066 US ZIPs (top 27%)
Ranked #264 of 763 Wisconsin ZIPs (top 35%)
Ranked #12 of 23 Appleton, WI ZIPs (bottom 48%)
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.
Fiber broadband
99.9%
in the top 2.2% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Lead in tap water
10 ppb
in the top 2.3% nationally
Lower is healthier
US98thDefinition & 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 ›Binge drinking
21.1%
in the top 3.1% nationally
Lower is healthier
ST92ndUS97thDefinition & 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 ›Fatal road crashes
1.4 per 100,000 residents per year
in the bottom 5.3% nationally
Lower is healthier
ST4thUS5thDefinition & 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 ›Walkability
110 intersections/sq mi
in the top 9.3% nationally
Higher is healthier
ST96thUS91stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Tree cover
0.02%
in the bottom 11.9% nationally
Higher is healthier
ST3rdUS12thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Homeownership rate
60.6%
in the bottom 16% nationally
Higher is healthier
ST9thUS16thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Households without a vehicle
9.3%
in the top 17% nationally
Lower is healthier
ST91stUS83rdDefinition & source ›
The share of households with no vehicle available.
Full methodology ›The read
Kimberly, Wisconsin (ZIP 54136), on the composite measure, lands in the top 27% healthiest ZIPs nationally (8,618th) and the top 35% of Wisconsin (264th).
The readings split fairly evenly between strengths and concerns: fiber broadband lands in the top 2.2% nationally, fatal road crashes resides in the bottom 5.3% nationally, and walkability lies in the top 9.3% nationally. Elder services settles in the top 10.1% nationally, modeled utility shutoff stands in the bottom 12.2% nationally, and lithium in drinking water is in the bottom 12.4% nationally. Working the other way, lead in tap water rests in the top 2.3% nationally, and modeled binge drinking sits in the top 3.1% nationally. Modeled tree cover registers in the bottom 11.9% nationally, and fine-particle lands in the top 12.9% nationally.
Set against the neighboring ZIPs, walkability runs far higher than the surrounding ZIPs on this measure. In everyday language, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. A healthier neighbor overall sits at ZIP 54113, 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 69%
21%
Social Need / SDOH
healthier than 78%
16%
Preventive Care
healthier than 76%
13%
Disability
healthier than 74%
7%
Climate / Disaster Risk
healthier than 81%
5%
About typical
Mental Health
healthier than 55%
8%
Healthcare Access
healthier than 41%
5%
Holding it back
Environmental Hazard
healthier than 19%
14%
Risk Behavior
healthier than 37%
11%
Lifting this score
Chronic Disease Burden
healthier than 73%
21%
Social Need / SDOH
healthier than 73%
16%
Disability
healthier than 72%
7%
Climate / Disaster Risk
healthier than 70%
5%
About typical
Preventive Care
healthier than 51%
13%
Risk Behavior
healthier than 46%
11%
Healthcare Access
healthier than 56%
5%
Holding it back
Environmental Hazard
healthier than 15%
14%
Mental Health
healthier than 37%
8%
Lifting this score
Risk Behavior
healthier than 64%
11%
Climate / Disaster Risk
healthier than 64%
5%
Healthcare Access
healthier than 64%
5%
About typical
Social Need / SDOH
healthier than 50%
16%
Preventive Care
healthier than 41%
13%
Mental Health
healthier than 50%
8%
Disability
healthier than 50%
7%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Environmental Hazard
healthier than 36%
14%
“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
54113
Wisconsinshares a border
Score 59.59
Closest healthier
54915
Wisconsinshares a border
Score 57.97
Similar health profile
54441
Wisconsin97% similar profile
Score 56.60
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 | 28.1% | 25.3–30.9 |
| High blood pressure among adults | 34.5% | 31.2–37.8 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 8.0–9.8 |
| Current asthma among adults | 10.7% | 9.5–12.0 |
| Coronary heart disease among adults | 6.4% | 5.7–7.3 |
| Chronic obstructive pulmonary disease among adults | 6.3% | 5.3–7.3 |
| Depression among adults | 23.9% | 20.8–27.0 |
| Diagnosed diabetes among adults | 10.5% | 9.0–12.0 |
| High cholesterol among adults who have ever been screened | 35.4% | 32.1–38.7 |
| Obesity among adults | 36.8% | 31.7–41.9 |
| Stroke among adults | 3.3% | 2.9–3.7 |
| All teeth lost among adults aged >=65 years | 9.9% | 8.0–12.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.3% | 6.0–8.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.6% | 74.8–80.1 |
| Visits to doctor for routine checkup within the past year among adults | 78.9% | 75.8–81.7 |
| Cholesterol screening among adults | 86.0% | 84.2–87.8 |
| Colorectal cancer screening among adults aged 45–75 years | 70.2% | 65.9–74.1 |
| Visited dentist or dental clinic in the past year among adults | 67.5% | 64.2–70.6 |
| Mammography use among women aged 50-74 years | 79.8% | 73.6–84.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.1% | 18.1–24.2 |
| Current cigarette smoking among adults | 13.2% | 11.0–15.6 |
| No leisure-time physical activity among adults | 26.8% | 22.7–31.0 |
| Short sleep duration among adults | 32.3% | 27.7–37.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.8% | 14.3–19.4 |
| Frequent mental distress among adults | 15.7% | 13.8–17.7 |
| Frequent physical distress among adults | 12.8% | 11.1–14.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.7% | 11.0–14.5 |
| Any disability among adults | 28.5% | 24.7–32.4 |
| Hearing disability among adults | 7.0% | 6.1–7.9 |
| Independent living disability among adults | 7.6% | 6.5–8.8 |
| Mobility disability among adults | 12.8% | 10.9–14.9 |
| Self-care disability among adults | 3.2% | 2.8–3.7 |
| Vision disability among adults | 4.1% | 3.6–4.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.4% | 16.6–22.5 |
| Food insecurity in the past 12 months among adults | 10.6% | 8.7–12.8 |
| Received food stamps in the past 12 months among adults | 10.9% | 8.9–13.2 |
| Housing insecurity in the past 12 months among adults | 8.7% | 7.2–10.3 |
| Lack of reliable transportation in the past 12 months among adults | 6.0% | 5.1–6.9 |
| Loneliness among adults | 31.4% | 27.4–35.6 |
| Utility services shut-off threat in the past 12 months among adults | 4.9% | 4.2–5.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.5% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 3.7% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 3.7% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 32.3% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 2.6% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 9.3% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 85.7% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 20.7% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 60.6% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 2.6% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 58.9% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 17.6% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 40.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $69,495 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $220,700 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,152 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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