ZIP code
55792
in Virginia, MinnesotaPopulation 9,663
45.71/ 100
Ranked #21,646 of 32,066 US ZIPs (bottom 32%)
Ranked #824 of 866 Minnesota ZIPs (bottom 4.9%)
Ranked #60 of 65 Duluth, MN-WI ZIPs (bottom 7.7%)
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.
Expected annual disaster loss
$0
in the top 2.2% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Dental provider access
1.5 per 1,000 residents
in the top 2.4% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of dental offices located 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 ›Natural-disaster risk
in the top 3.3% nationally
Lower is healthier
ST98thUS97thDefinition & 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 ›Energy-cost burden
5.8%
in the top 3.5% nationally
Lower is healthier
ST91stUS97thDefinition & 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 ›Mental-health provider access
0.2 per 1,000 residents
in the top 4.1% nationally
Higher is healthier
ST95thUS96thDefinition & source ›
The number of mental-health clinics located 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 ›Humid extreme heat
7.3 days/year
in the bottom 4.6% nationally
Lower is healthier
ST2ndUS5thDefinition & 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 ›Outpatient-care access
0.61 per 1,000 residents
in the top 5.3% nationally
Higher is healthier
ST95thUS95thDefinition & source ›
The number of outpatient clinics located 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 ›Park land
20%
in the top 7.0% nationally
Higher is healthier
ST96thUS93rdDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Grocery access
0.2 per 1,000 residents
in the top 7.1% nationally
Higher is healthier
ST93rdUS93rdDefinition & 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 ›Fine-particle (PM2.5) exceedance
1.2%
in the top 7.9% nationally
Lower is healthier
ST55thUS92ndDefinition & 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 ›The read
Virginia, Minnesota (ZIP 55792), by its overall standing, sits in the bottom 32% nationally (21,646th) and the bottom 4.9% of Minnesota (824th).
The data is direct about where this area carries real strain: modeled expected annual loss rests in the top 2.2% nationally, disaster risk lies in the top 3.3% nationally, and energy burden sits in the top 3.5% nationally. Modeled fine-particle settles in the top 7.9% nationally. More encouragingly, dental providers registers in the top 2.4% nationally, and mental-health providers stands in the top 4.1% nationally. Modeled humid heat lands in the bottom 4.6% nationally, and outpatient is in the top 5.3% nationally. Park land resides in the top 7.0% nationally, and grocery rests in the top 7.1% nationally.
Held up against its neighbors, expected annual loss runs far higher than the surrounding ZIPs on this measure. Defined in plain terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. The nearest ZIP ranking healthier overall is ZIP 55703, 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 Duluth, MN-WI metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 77%
14%
Climate / Disaster Risk
healthier than 92%
5%
Healthcare Access
healthier than 68%
5%
About typical
Preventive Care
healthier than 43%
13%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Social Need / SDOH
healthier than 12%
16%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 29%
8%
Disability
healthier than 24%
7%
Lifting this score
Environmental Hazard
healthier than 95%
14%
Climate / Disaster Risk
healthier than 88%
5%
Healthcare Access
healthier than 88%
5%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Social Need / SDOH
healthier than 5%
16%
Preventive Care
healthier than 18%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 7%
8%
Disability
healthier than 3%
7%
Lifting this score
Environmental Hazard
healthier than 66%
14%
Healthcare Access
healthier than 79%
5%
About typical
Climate / Disaster Risk
healthier than 59%
5%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
healthier than 11%
16%
Preventive Care
healthier than 14%
13%
Risk Behavior
healthier than 14%
11%
Mental Health
healthier than 16%
8%
Disability
healthier than 4%
7%
“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 76.6 ± 1.3 years. The 50 nearest ZIP codes with estimates average 80.7 years — 4.2 years below them.
Ranked #3,102 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
55703
Minnesotashares a border
Score 54.01
Closest healthier
55710
Minnesotashares a border
Score 54.53
Similar health profile
17264
Pennsylvania97% similar profile
Score 46.87
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 | 30.1% | 27.0–33.3 |
| High blood pressure among adults | 37.5% | 34.0–41.3 |
| Cancer (non-skin) or melanoma among adults | 10.3% | 9.2–11.4 |
| Current asthma among adults | 11.1% | 9.7–12.6 |
| Coronary heart disease among adults | 9.1% | 8.2–10.3 |
| Chronic obstructive pulmonary disease among adults | 9.2% | 8.2–10.5 |
| Depression among adults | 25.6% | 22.2–29.1 |
| Diagnosed diabetes among adults | 14.3% | 12.4–16.4 |
| High cholesterol among adults who have ever been screened | 34.8% | 31.3–38.5 |
| Obesity among adults | 38.7% | 33.5–44.1 |
| Stroke among adults | 4.7% | 4.3–5.2 |
| All teeth lost among adults aged >=65 years | 15.3% | 12.7–18.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.9% | 7.3–10.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.4% | 77.5–83.0 |
| Visits to doctor for routine checkup within the past year among adults | 76.2% | 72.7–79.3 |
| Cholesterol screening among adults | 84.3% | 82.2–86.1 |
| Colorectal cancer screening among adults aged 45–75 years | 67.4% | 63.4–71.1 |
| Visited dentist or dental clinic in the past year among adults | 58.2% | 55.0–61.2 |
| Mammography use among women aged 50-74 years | 75.8% | 69.9–80.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.9% | 14.1–19.8 |
| Current cigarette smoking among adults | 19.9% | 17.2–22.9 |
| No leisure-time physical activity among adults | 29.8% | 25.9–34.1 |
| Short sleep duration among adults | 34.7% | 30.8–38.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.3% | 20.5–26.4 |
| Frequent mental distress among adults | 17.5% | 15.4–19.8 |
| Frequent physical distress among adults | 15.9% | 14.0–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.0% | 14.1–18.1 |
| Any disability among adults | 37.2% | 33.3–41.4 |
| Hearing disability among adults | 10.1% | 9.0–11.4 |
| Independent living disability among adults | 10.4% | 9.2–11.8 |
| Mobility disability among adults | 18.5% | 16.2–21.0 |
| Self-care disability among adults | 5.1% | 4.6–5.7 |
| Vision disability among adults | 6.3% | 5.7–7.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.7% | 19.8–25.7 |
| Food insecurity in the past 12 months among adults | 16.8% | 14.5–19.2 |
| Received food stamps in the past 12 months among adults | 15.1% | 13.0–17.4 |
| Housing insecurity in the past 12 months among adults | 11.5% | 9.9–13.2 |
| Lack of reliable transportation in the past 12 months among adults | 10.2% | 9.0–11.5 |
| Loneliness among adults | 33.5% | 29.9–37.2 |
| Utility services shut-off threat in the past 12 months among adults | 8.2% | 7.1–9.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.8% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 5.6% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 4.6% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 21.1% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 5.1% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 13.1% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 80.4% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 20.7% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 62.5% | 78.7% (51.7–94.0%) n=32,322 | 83.9% (67.0–94.0%) n=871 |
| Crowded housing (>1 per room) | 0.3% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.9%) n=871 |
| Foreign-born population | 1.4% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 46.8% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 25.2% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 43.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $53,750 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $129,500 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | $799 | $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 | 76.6 yr ± 0.65 | 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 0.65 years of 76.6, 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