ZIP code
56763
in Warroad, MinnesotaPopulation 5,180
50.48/ 100
Ranked #15,583 of 32,066 US ZIPs (top 49%)
Ranked #675 of 866 Minnesota ZIPs (bottom 22%)
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
70.2 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 0.8% 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
6.4%
in the top 1.9% nationally
Lower is healthier
ST96thUS98thDefinition & 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
93 mi
in the top 4.1% 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 ›Air-toxics cancer risk
11.4 per million
in the bottom 5.7% nationally
Lower is healthier
ST5thUS6thDefinition & 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 ›Fine-particle (PM2.5) exceedance
1.5%
in the top 6.2% nationally
Lower is healthier
ST71stUS94thDefinition & 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 ›Grocery access
0.19 per 1,000 residents
in the top 7.7% nationally
Higher is healthier
ST93rdUS92ndDefinition & 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 ›Humid extreme heat
11.4 days/year
in the bottom 8.3% nationally
Lower is healthier
ST16thUS8thDefinition & 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 ›Households without a vehicle
11.2%
in the top 12.3% nationally
Lower is healthier
ST94thUS88thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›The read
In its overall standing, Warroad, Minnesota (ZIP 56763) lands in the top 49% healthiest ZIPs nationally (15,583rd) and the bottom 22% of Minnesota (675th).
Reading the numbers as a whole, the picture lands somewhere in between: modeled industrial-pollution burden is in the bottom 0.8% nationally, distance to a Superfund site sits in the top 4.1% nationally, and modeled air-toxics cancer risk lands in the bottom 5.7% nationally. Grocery lies in the top 7.7% nationally, and modeled humid heat stands in the bottom 8.3% nationally. Distance to a nursing home rests at the national minimum, shared with about 27% of ZIPs. On the other side, distance to a community health center registers in the top 0.3% nationally, and modeled energy burden resides in the top 1.9% nationally. Modeled fine-particle settles in the top 6.2% nationally, and households without a vehicle is in the top 12.3% nationally.
Put simply, 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. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. On the overall standing, ZIP 56673, just across the boundary, ranks healthier.
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 67%
21%
Environmental Hazard
healthier than 77%
14%
Climate / Disaster Risk
healthier than 82%
5%
About typical
Preventive Care
healthier than 43%
13%
Risk Behavior
healthier than 42%
11%
Mental Health
healthier than 54%
8%
Disability
healthier than 56%
7%
Holding it back
Social Need / SDOH
healthier than 8%
16%
Healthcare Access
healthier than 2%
5%
Lifting this score
Environmental Hazard
healthier than 95%
14%
Climate / Disaster Risk
healthier than 64%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Mental Health
healthier than 43%
8%
Holding it back
Social Need / SDOH
healthier than 3%
16%
Preventive Care
healthier than 17%
13%
Risk Behavior
healthier than 10%
11%
Disability
healthier than 25%
7%
Healthcare Access
healthier than 12%
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
56673
Minnesotashares a border
Score 52.85
Closest healthier
56711
Minnesotashares a border
Score 53.20
Similar health profile
57258
South Dakota97% similar profile
Score 50.26
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 | 24.9% | 22.0–28.2 |
| High blood pressure among adults | 32.0% | 28.2–36.1 |
| Cancer (non-skin) or melanoma among adults | 8.8% | 8.0–9.6 |
| Current asthma among adults | 10.3% | 9.1–11.7 |
| Coronary heart disease among adults | 7.0% | 6.3–7.9 |
| Chronic obstructive pulmonary disease among adults | 6.9% | 6.1–7.9 |
| Depression among adults | 23.5% | 20.2–27.2 |
| Diagnosed diabetes among adults | 11.9% | 10.3–13.7 |
| High cholesterol among adults who have ever been screened | 34.5% | 30.4–38.8 |
| Obesity among adults | 36.3% | 29.2–44.1 |
| Stroke among adults | 3.7% | 3.3–4.0 |
| All teeth lost among adults aged >=65 years | 13.8% | 11.2–16.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.8% | 6.5–9.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.2% | 75.1–81.1 |
| Visits to doctor for routine checkup within the past year among adults | 74.6% | 70.7–78.3 |
| Cholesterol screening among adults | 84.5% | 82.6–86.2 |
| Colorectal cancer screening among adults aged 45–75 years | 67.6% | 62.6–72.3 |
| Visited dentist or dental clinic in the past year among adults | 62.9% | 59.2–66.4 |
| Mammography use among women aged 50-74 years | 75.5% | 67.6–82.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.7% | 15.5–22.2 |
| Current cigarette smoking among adults | 16.7% | 14.2–19.3 |
| No leisure-time physical activity among adults | 25.8% | 21.7–30.3 |
| Short sleep duration among adults | 32.4% | 26.4–39.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.4% | 16.0–21.2 |
| Frequent mental distress among adults | 16.1% | 14.2–18.1 |
| Frequent physical distress among adults | 13.3% | 11.6–15.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.5% | 12.8–16.4 |
| Any disability among adults | 31.1% | 27.0–35.4 |
| Hearing disability among adults | 8.1% | 7.2–9.1 |
| Independent living disability among adults | 8.2% | 7.2–9.2 |
| Mobility disability among adults | 13.7% | 11.8–15.7 |
| Self-care disability among adults | 3.9% | 3.4–4.3 |
| Vision disability among adults | 4.8% | 4.3–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.0% | 19.7–26.6 |
| Food insecurity in the past 12 months among adults | 13.5% | 11.4–15.7 |
| Received food stamps in the past 12 months among adults | 9.7% | 8.1–11.4 |
| Housing insecurity in the past 12 months among adults | 10.1% | 8.6–11.7 |
| Lack of reliable transportation in the past 12 months among adults | 7.9% | 6.9–8.9 |
| Loneliness among adults | 30.3% | 25.7–35.4 |
| Utility services shut-off threat in the past 12 months among adults | 6.5% | 5.6–7.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.5% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 7.9% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 7.2% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 22.6% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 5.7% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 11.2% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 87.5% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 20.8% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 71.8% | 78.7% (51.7–94.0%) n=32,322 | 83.9% (67.0–94.0%) n=871 |
| Crowded housing (>1 per room) | 2.8% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.9%) n=871 |
| Foreign-born population | 4.6% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 60.4% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 19.7% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 41.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $65,000 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $192,000 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | $800 | $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 | 85.8 yr ± 2.18 | 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 2.18 years of 85.8, 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