ZIP code
56011
in Belle Plaine, MinnesotaPopulation 9,921
59.46/ 100
Ranked #5,238 of 32,066 US ZIPs (top 16%)
Ranked #144 of 866 Minnesota ZIPs (top 17%)
Ranked #111 of 224 Minneapolis-St. Paul-Bloomington, MN-WI ZIPs (top 50%)
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.
Binge drinking
20.3%
in the top 5.2% nationally
Lower is healthier
ST94thUS95thDefinition & 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 ›PFAS in drinking water
8.4%
in the bottom 5.7% nationally
Lower is healthier
ST10thUS6thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Short sleep
28.8%
in the bottom 5.2% nationally
Lower is healthier
ST25thUS5thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Poverty rate
2.7%
in the bottom 8.9% nationally
Lower is healthier
ST6thUS9thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›High cholesterol
31.9%
in the bottom 6.3% nationally
Lower is healthier
ST11thUS6thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Natural-disaster risk
in the top 13.9% nationally
Lower is healthier
ST91stUS86thDefinition & 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 ›The read
Belle Plaine, Minnesota (ZIP 56011), on the composite measure, lands in the top 16% healthiest ZIPs nationally (5,238th) and the top 17% of Minnesota (144th), based on limited data; treat as directional.
What works most in this area's favor shows up clearly across the measures: modeled pfas settles in the bottom 5.7% nationally, modeled short sleep stands in the bottom 5.2% nationally, and poverty is in the bottom 8.9% nationally. Modeled high cholesterol rests in the bottom 6.3% nationally, and pharmacy sits in the top 12.8% nationally. Distance to a nursing home registers at the national minimum, shared with about 27% of ZIPs. Working the other way, modeled binge drinking lands in the top 5.2% nationally, and arsenic resides in the top 10.4% nationally. Modeled fine-particle lies in the top 11.7% nationally, and disaster risk settles in the top 13.9% nationally.
Set against the neighboring ZIPs, park land runs far higher than the surrounding ZIPs on this measure. In everyday language, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. 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 55315, 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 Minneapolis-St. Paul-Bloomington, MN-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 87%
21%
Social Need / SDOH
healthier than 82%
16%
Disability
healthier than 83%
7%
Climate / Disaster RiskPartial
healthier than 71%
5%
About typical
Environmental Hazard
healthier than 43%
14%
Preventive Care
healthier than 51%
13%
Risk Behavior
healthier than 58%
11%
Mental Health
healthier than 52%
8%
Healthcare Access
healthier than 59%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 81%
21%
Social Need / SDOH
healthier than 75%
16%
Environmental Hazard
healthier than 74%
14%
Disability
healthier than 74%
7%
Healthcare Access
healthier than 85%
5%
About typical
Climate / Disaster RiskPartial
healthier than 42%
5%
Holding it back
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 35%
11%
Mental Health
healthier than 37%
8%
Lifting this score
Environmental Hazard
healthier than 87%
14%
Climate / Disaster RiskPartial
healthier than 63%
5%
Healthcare Access
healthier than 68%
5%
About typical
Chronic Disease Burden
healthier than 52%
21%
Social Need / SDOH
healthier than 40%
16%
Disability
healthier than 42%
7%
Holding it back
Preventive Care
healthier than 35%
13%
Risk Behavior
healthier than 28%
11%
Mental Health
healthier than 39%
8%
“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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 79.2 ± 1.3 years. The 50 nearest ZIP codes with estimates average 82.2 years — 2.9 years below them.
Ranked #2,312 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
55315
Minnesotashares a border
Score 66.44
Closest healthier
55322
Minnesotashares a border
Score 63.36
Similar health profile
53532
Wisconsin98% similar profile
Score 62.91
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 | 21.2% | 19.0–23.6 |
| High blood pressure among adults | 30.5% | 27.5–33.6 |
| Cancer (non-skin) or melanoma among adults | 8.0% | 7.3–8.7 |
| Current asthma among adults | 10.0% | 9.0–11.2 |
| Coronary heart disease among adults | 5.3% | 4.8–6.0 |
| Chronic obstructive pulmonary disease among adults | 5.2% | 4.5–5.9 |
| Depression among adults | 24.2% | 21.3–27.3 |
| Diagnosed diabetes among adults | 9.3% | 8.2–10.6 |
| High cholesterol among adults who have ever been screened | 31.9% | 28.9–35.0 |
| Obesity among adults | 33.5% | 28.8–38.5 |
| Stroke among adults | 2.8% | 2.5–3.1 |
| All teeth lost among adults aged >=65 years | 9.3% | 7.6–11.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.2% | 5.9–8.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.9% | 71.1–76.6 |
| Visits to doctor for routine checkup within the past year among adults | 73.0% | 69.9–76.2 |
| Cholesterol screening among adults | 85.0% | 83.1–86.8 |
| Colorectal cancer screening among adults aged 45–75 years | 69.3% | 65.6–72.7 |
| Visited dentist or dental clinic in the past year among adults | 68.9% | 66.2–71.6 |
| Mammography use among women aged 50-74 years | 78.6% | 73.0–83.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.3% | 17.6–23.3 |
| Current cigarette smoking among adults | 14.6% | 12.4–17.0 |
| No leisure-time physical activity among adults | 24.0% | 20.6–27.5 |
| Short sleep duration among adults | 28.8% | 25.1–32.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.0% | 13.9–18.3 |
| Frequent mental distress among adults | 15.8% | 14.0–17.6 |
| Frequent physical distress among adults | 11.6% | 10.3–13.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.1% | 11.5–14.8 |
| Any disability among adults | 26.2% | 23.0–29.6 |
| Hearing disability among adults | 6.3% | 5.7–7.0 |
| Independent living disability among adults | 6.8% | 6.0–7.7 |
| Mobility disability among adults | 10.8% | 9.4–12.4 |
| Self-care disability among adults | 2.9% | 2.6–3.3 |
| Vision disability among adults | 3.6% | 3.2–4.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.1% | 19.2–25.2 |
| Food insecurity in the past 12 months among adults | 10.3% | 8.4–12.2 |
| Received food stamps in the past 12 months among adults | 7.0% | 5.7–8.4 |
| Housing insecurity in the past 12 months among adults | 9.1% | 7.7–10.6 |
| Lack of reliable transportation in the past 12 months among adults | 6.4% | 5.6–7.4 |
| Loneliness among adults | 29.6% | 25.8–33.5 |
| Utility services shut-off threat in the past 12 months among adults | 5.4% | 4.6–6.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.7% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 7.6% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 7.6% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 31.7% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 4.4% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 2.8% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 90.6% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 27.8% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 86.4% | 78.7% (51.7–94.0%) n=32,322 | 83.9% (67.0–94.0%) n=871 |
| Crowded housing (>1 per room) | 2.4% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.9%) n=871 |
| Foreign-born population | 5.3% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 54.2% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 13.7% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 37.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $102,522 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $345,300 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | $1,360 | $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 | 79.2 yr ± 0.64 | 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 0.64 years of 79.2, 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