ZIP code
56587
in Vergas, MinnesotaPopulation 1,339
59.11/ 100
Ranked #5,516 of 32,066 US ZIPs (top 17%)
Ranked #155 of 866 Minnesota ZIPs (top 18%)
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.
Grocery access
0.69 per 1,000 residents
in the top 0.8% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Colon-cancer screening
77.4%
in the top 0.9% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Distance to a community health center
38.6 mi
in the top 2.3% nationally
Lower is healthier
ST81stUS98thDefinition & 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 ›Fine-particle (PM2.5) exceedance
2.7%
in the top 2.6% nationally
Lower is healthier
ST97thUS97thDefinition & 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 ›Housing insecurity
6.1%
in the bottom 2.9% nationally
Lower is healthier
ST2ndUS3rdDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Utility shut-off threat
4.0%
in the bottom 3.8% nationally
Lower is healthier
ST4thUS4thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Child-care access
0.69 per 1,000 residents
in the top 5.3% nationally
Higher is healthier
ST90thUS95thDefinition & source ›
The number of child day-care services 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.
Full methodology ›Food insecurity
7.6%
in the bottom 5.8% nationally
Lower is healthier
ST5thUS6thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
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 ›Lack of transportation
5.0%
in the bottom 7.6% nationally
Lower is healthier
ST3rdUS8thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›The read
By its overall health score, Vergas, Minnesota (ZIP 56587) lands in the top 17% healthiest ZIPs nationally (5,516th) and the top 18% of Minnesota (155th), based on limited data; treat as directional.
The measures split the difference for this area: grocery is in the top 0.8% nationally, and modeled colon screening stands in the top 0.9% nationally. Modeled housing insecurity settles in the bottom 2.9% nationally, and utility shutoff lies in the bottom 3.8% nationally. Childcare resides in the top 5.3% nationally, modeled food insecurity lands in the bottom 5.8% nationally, and modeled short sleep registers in the bottom 5.2% nationally. Modeled transportation sits in the bottom 7.6% nationally. Against that, distance to a community health center rests in the top 2.3% nationally, and modeled fine-particle is in the top 2.6% nationally.
Weighed against the ZIPs nearby, grocery runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. This ZIP stands out as the strongest overall among its immediate neighbors.
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
Social Need / SDOH
healthier than 80%
16%
Preventive Care
healthier than 95%
13%
Risk Behavior
healthier than 83%
11%
Mental Health
healthier than 87%
8%
Disability
healthier than 77%
7%
Climate / Disaster RiskPartial
healthier than 95%
5%
About typical
Chronic Disease Burden
healthier than 60%
21%
Holding it back
Environmental Hazard
healthier than 12%
14%
Healthcare Access
healthier than 1%
5%
Lifting this score
Social Need / SDOH
healthier than 74%
16%
Preventive Care
healthier than 99%
13%
Risk Behavior
healthier than 85%
11%
Mental Health
healthier than 98%
8%
Disability
healthier than 66%
7%
Climate / Disaster RiskPartial
healthier than 92%
5%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Environmental Hazard
healthier than 18%
14%
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
56501
Minnesotashares a border
Score 53.14
Similar health profile
58007
North Dakota99% similar profile
Score 60.06
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 | 29.3% | 26.2–32.3 |
| High blood pressure among adults | 33.9% | 30.4–37.5 |
| Cancer (non-skin) or melanoma among adults | 12.2% | 11.1–13.4 |
| Current asthma among adults | 9.4% | 8.4–10.6 |
| Coronary heart disease among adults | 7.9% | 7.0–8.8 |
| Chronic obstructive pulmonary disease among adults | 6.4% | 5.5–7.4 |
| Depression among adults | 21.4% | 18.6–24.5 |
| Diagnosed diabetes among adults | 11.6% | 10.1–13.3 |
| High cholesterol among adults who have ever been screened | 40.6% | 36.8–44.4 |
| Obesity among adults | 32.3% | 27.4–37.7 |
| Stroke among adults | 3.8% | 3.4–4.2 |
| All teeth lost among adults aged >=65 years | 7.9% | 6.3–9.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.6% | 4.6–6.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.6% | 79.9–85.0 |
| Visits to doctor for routine checkup within the past year among adults | 78.0% | 74.9–80.9 |
| Cholesterol screening among adults | 89.4% | 88.0–90.7 |
| Colorectal cancer screening among adults aged 45–75 years | 77.4% | 73.7–81.1 |
| Visited dentist or dental clinic in the past year among adults | 72.5% | 69.6–75.5 |
| Mammography use among women aged 50-74 years | 81.1% | 75.1–86.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.5% | 13.9–19.3 |
| Current cigarette smoking among adults | 13.1% | 10.9–15.4 |
| No leisure-time physical activity among adults | 22.5% | 19.1–26.3 |
| Short sleep duration among adults | 28.8% | 24.2–34.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.4% | 13.2–17.8 |
| Frequent mental distress among adults | 12.8% | 11.3–14.4 |
| Frequent physical distress among adults | 12.1% | 10.6–13.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.6% | 9.3–12.1 |
| Any disability among adults | 27.6% | 24.0–31.2 |
| Hearing disability among adults | 8.8% | 7.8–9.9 |
| Independent living disability among adults | 6.4% | 5.6–7.3 |
| Mobility disability among adults | 12.9% | 11.1–14.9 |
| Self-care disability among adults | 3.2% | 2.8–3.6 |
| Vision disability among adults | 3.7% | 3.3–4.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.1% | 16.3–22.0 |
| Food insecurity in the past 12 months among adults | 7.6% | 6.2–9.3 |
| Received food stamps in the past 12 months among adults | 5.1% | 4.1–6.3 |
| Housing insecurity in the past 12 months among adults | 6.1% | 5.1–7.3 |
| Lack of reliable transportation in the past 12 months among adults | 5.0% | 4.3–5.7 |
| Loneliness among adults | 28.5% | 24.6–32.6 |
| Utility services shut-off threat in the past 12 months among adults | 4.0% | 3.4–4.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.5% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 3.2% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 4.2% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 28.6% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 2.0% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 2.7% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 89.8% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 25.5% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 89.8% | 78.7% (51.7–94.0%) n=32,322 | 83.9% (67.0–94.0%) n=871 |
| Crowded housing (>1 per room) | 0.2% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.9%) n=871 |
| Foreign-born population | 0.4% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 75.1% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 31.8% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 56.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $88,000 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $367,600 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | $836 | $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 | 82.2 yr ± 1.28 | 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 1.28 years of 82.2, 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