ZIP code
56761
in Wannaska, MinnesotaPopulation 458
53.25/ 100
Ranked #11,725 of 32,066 US ZIPs (top 37%)
Ranked #475 of 866 Minnesota ZIPs (bottom 45%)
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.
Distance to a community health center
70.7 mi
in the top 0.3% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Industrial-pollution burden
in the bottom 0.9% nationally
Lower is healthier
ST1stUS1stDefinition & 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 ›Energy-cost burden
5.9%
in the top 3.2% nationally
Lower is healthier
ST92ndUS97thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Distance to a Superfund site
89.3 mi
in the top 4.3% nationally
Higher is healthier
ST96thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Fine-particle (PM2.5) exceedance
1.6%
in the top 5.4% nationally
Lower is healthier
ST78thUS95thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Air-toxics cancer risk
10.6 per million
in the bottom 5.4% nationally
Lower is healthier
ST5thUS5thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Transportation noise
0.02%
in the bottom 6.0% nationally
Lower is healthier
ST7thUS6thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Humid extreme heat
11.5 days/year
in the bottom 8.5% nationally
Lower is healthier
ST17thUS8thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Crowded housing
4.7%
in the top 14.9% nationally
Lower is healthier
ST92ndUS85thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›The read
Wannaska, Minnesota (ZIP 56761), on the composite measure, lands in the top 37% healthiest ZIPs nationally (11,725th) and the bottom 45% of Minnesota (475th).
Where the data leans one way, another reading answers it: modeled industrial-pollution burden resides in the bottom 0.9% nationally, distance to a Superfund site lies in the top 4.3% nationally, and modeled air-toxics cancer risk settles in the bottom 5.4% nationally. Modeled transportation noise stands in the bottom 6.0% nationally, and humid heat is in the bottom 8.5% nationally. Modeled loud transportation noise rests at the national minimum, shared with about 22% of ZIPs. On the other hand, distance to a community health center sits in the top 0.3% nationally, and modeled energy burden registers in the top 3.2% nationally. Modeled fine-particle lands in the top 5.4% nationally, and binge drinking resides in the top 10.5% nationally.
In everyday language, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. 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 56759, 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.
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 61%
21%
Environmental Hazard
healthier than 86%
14%
Preventive Care
healthier than 61%
13%
Mental Health
healthier than 70%
8%
Disability
healthier than 62%
7%
Climate / Disaster Risk
healthier than 93%
5%
About typical
Risk Behavior
healthier than 53%
11%
Holding it back
Social Need / SDOH
healthier than 20%
16%
Healthcare Access
in the bottom 1.0%
5%
Lifting this score
Environmental Hazard
healthier than 97%
14%
Mental Health
healthier than 82%
8%
Climate / Disaster Risk
healthier than 89%
5%
About typical
Preventive Care
healthier than 46%
13%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Social Need / SDOH
healthier than 13%
16%
Risk Behavior
healthier than 24%
11%
Disability
healthier than 38%
7%
Healthcare Access
healthier than 3%
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
56714
Minnesotashares a border
Score 51.41
Closest healthier
56759
Minnesotashares a border
Score 53.80
Similar health profile
56032
Minnesota98% similar profile
Score 53.77
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 | 26.3% | 23.0–29.7 |
| High blood pressure among adults | 33.5% | 29.5–37.6 |
| Cancer (non-skin) or melanoma among adults | 10.1% | 9.1–11.2 |
| Current asthma among adults | 9.8% | 8.6–11.1 |
| Coronary heart disease among adults | 7.7% | 6.7–8.7 |
| Chronic obstructive pulmonary disease among adults | 6.9% | 5.7–8.1 |
| Depression among adults | 22.6% | 19.2–26.2 |
| Diagnosed diabetes among adults | 11.8% | 10.1–13.6 |
| High cholesterol among adults who have ever been screened | 36.1% | 31.8–40.4 |
| Obesity among adults | 35.5% | 28.3–43.0 |
| Stroke among adults | 3.8% | 3.3–4.3 |
| All teeth lost among adults aged >=65 years | 14.2% | 11.5–17.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.0% | 5.4–8.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.9% | 76.9–82.6 |
| Visits to doctor for routine checkup within the past year among adults | 75.6% | 72.0–79.2 |
| Cholesterol screening among adults | 85.9% | 84.0–87.9 |
| Colorectal cancer screening among adults aged 45–75 years | 70.5% | 65.7–75.1 |
| Visited dentist or dental clinic in the past year among adults | 62.7% | 59.0–66.3 |
| Mammography use among women aged 50-74 years | 76.9% | 69.2–83.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.1% | 16.1–22.6 |
| Current cigarette smoking among adults | 15.2% | 12.3–18.1 |
| No leisure-time physical activity among adults | 24.2% | 19.7–28.7 |
| Short sleep duration among adults | 31.5% | 25.4–38.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.3% | 14.2–20.4 |
| Frequent mental distress among adults | 14.9% | 12.9–16.7 |
| Frequent physical distress among adults | 12.9% | 11.1–14.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.3% | 11.3–15.3 |
| Any disability among adults | 30.5% | 25.8–35.0 |
| Hearing disability among adults | 8.9% | 7.7–10.0 |
| Independent living disability among adults | 7.4% | 6.3–8.6 |
| Mobility disability among adults | 13.5% | 11.2–15.8 |
| Self-care disability among adults | 3.6% | 3.1–4.3 |
| Vision disability among adults | 4.3% | 3.6–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.5% | 18.0–25.0 |
| Food insecurity in the past 12 months among adults | 10.4% | 8.3–12.9 |
| Received food stamps in the past 12 months among adults | 7.3% | 5.7–9.1 |
| Housing insecurity in the past 12 months among adults | 8.0% | 6.5–9.7 |
| Lack of reliable transportation in the past 12 months among adults | 6.4% | 5.4–7.4 |
| Loneliness among adults | 28.9% | 24.3–34.1 |
| Utility services shut-off threat in the past 12 months among adults | 5.2% | 4.3–6.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.6% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 10.2% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 3.1% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 10.6% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 3.5% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 0.9% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 86.3% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 20.4% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 91.0% | 78.7% (51.7–94.0%) n=32,322 | 83.9% (67.0–94.0%) n=871 |
| Crowded housing (>1 per room) | 4.7% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.9%) n=871 |
| Foreign-born population | 2.0% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 62.2% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 14.2% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 46.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $75,729 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $178,800 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | $925 ($650–$1,588) n=759 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 85.9 yr ± 2.51 | 78.9 yr (74.7–82.8) n=31,308 | 81.1 yr (78.3–84.8) n=864 |
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 2.51 years of 85.9, 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