ZIP code
55082
in Grant, MinnesotaPopulation 36,277
66.37/ 100
Ranked #1,491 of 32,066 US ZIPs (top 4.7%)
Ranked #33 of 866 Minnesota ZIPs (top 3.9%)
Ranked #32 of 224 Minneapolis-St. Paul-Bloomington, MN-WI ZIPs (top 14.3%)
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.
Short sleep
24.8%
in the bottom 0.3% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Distance to a Superfund site
In this ZIP
at the national minimum
Higher is healthier
ST1stUS1stDefinition & 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 ›Loneliness
26.9%
in the bottom 2.8% nationally
Lower is healthier
ST6thUS3rdDefinition & source ›
The estimated share of adults who report feeling lonely.
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 ›Food insecurity
7.1%
in the bottom 4.0% nationally
Lower is healthier
ST3rdUS4thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Subsidized affordable housing
533 units
in the top 4.1% nationally
Higher is healthier
ST97thUS96thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Natural-disaster risk
in the top 4.3% nationally
Lower is healthier
ST97thUS96thDefinition & 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 ›Lack of transportation
4.8%
in the bottom 5.9% nationally
Lower is healthier
ST2ndUS6thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Mammography
82.2%
in the top 3.6% nationally
Higher is healthier
ST98thUS96thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›The read
In overall standing, Grant, Minnesota (ZIP 55082) comes out in the top 4.7% healthiest ZIPs nationally (1,491st) and the top 3.9% of Minnesota (33rd).
The measures fall on both sides of the ledger for this area: modeled short sleep registers in the bottom 0.3% nationally, loneliness stands in the bottom 2.8% nationally, and housing insecurity lands in the bottom 2.9% nationally. Modeled utility shutoff is in the bottom 3.8% nationally, modeled food insecurity resides in the bottom 4.0% nationally, and subsidized affordable housing rests in the top 4.1% nationally. Distance to an emergency room lies at the national minimum, shared with about 11% of ZIPs. Modeled transportation sits in the bottom 5.9% nationally. Set against that, distance to a Superfund site settles at the national minimum, and modeled disaster risk registers in the top 4.3% nationally.
Relative to the ZIPs around it, expected annual loss runs far higher than the surrounding ZIPs on this measure. In plain terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. The nearest healthier ZIP overall is ZIP 55001, 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 80%
21%
Social Need / SDOH
healthier than 97%
16%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 83%
8%
Disability
healthier than 90%
7%
Climate / Disaster Risk
healthier than 66%
5%
About typical
Healthcare Access
healthier than 46%
5%
Holding it back
Environmental Hazard
healthier than 36%
14%
Lifting this score
Chronic Disease Burden
healthier than 66%
21%
Social Need / SDOH
healthier than 95%
16%
Environmental Hazard
healthier than 65%
14%
Preventive Care
healthier than 97%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 96%
8%
Disability
healthier than 87%
7%
Healthcare Access
healthier than 78%
5%
Holding it back
Climate / Disaster Risk
healthier than 36%
5%
Lifting this score
Social Need / SDOH
healthier than 85%
16%
Environmental Hazard
healthier than 76%
14%
Preventive Care
healthier than 95%
13%
Risk Behavior
healthier than 90%
11%
Mental Health
healthier than 94%
8%
Disability
healthier than 67%
7%
About typical
Climate / Disaster Risk
healthier than 56%
5%
Healthcare Access
healthier than 55%
5%
Holding it back
Chronic Disease Burden
healthier than 28%
21%
“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
54016
Wisconsinshares a border
Score 62.07
Closest healthier
55001
Minnesotashares a border
Score 68.49
Similar health profile
92651
California99% similar profile
Score 67.90
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 | 24.4% | 22.0–26.8 |
| High blood pressure among adults | 31.9% | 28.9–34.9 |
| Cancer (non-skin) or melanoma among adults | 10.6% | 9.6–11.5 |
| Current asthma among adults | 9.4% | 8.4–10.5 |
| Coronary heart disease among adults | 6.0% | 5.4–6.6 |
| Chronic obstructive pulmonary disease among adults | 4.9% | 4.4–5.5 |
| Depression among adults | 23.0% | 20.4–25.8 |
| Diagnosed diabetes among adults | 10.9% | 9.6–12.3 |
| High cholesterol among adults who have ever been screened | 36.6% | 33.5–39.8 |
| Obesity among adults | 32.6% | 28.5–36.8 |
| Stroke among adults | 3.0% | 2.8–3.3 |
| All teeth lost among adults aged >=65 years | 7.1% | 5.8–8.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.9% | 4.2–5.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.4% | 76.6–81.9 |
| Visits to doctor for routine checkup within the past year among adults | 78.1% | 75.3–80.6 |
| Cholesterol screening among adults | 89.0% | 87.6–90.2 |
| Colorectal cancer screening among adults aged 45–75 years | 71.5% | 68.1–74.8 |
| Visited dentist or dental clinic in the past year among adults | 73.9% | 71.4–76.3 |
| Mammography use among women aged 50-74 years | 82.2% | 77.5–86.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.7% | 13.5–18.1 |
| Current cigarette smoking among adults | 10.5% | 9.1–12.1 |
| No leisure-time physical activity among adults | 18.5% | 16.0–21.2 |
| Short sleep duration among adults | 24.8% | 21.7–28.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.4% | 11.8–15.2 |
| Frequent mental distress among adults | 12.6% | 11.3–14.1 |
| Frequent physical distress among adults | 10.4% | 9.2–11.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.3% | 9.2–11.6 |
| Any disability among adults | 24.3% | 21.7–27.2 |
| Hearing disability among adults | 6.8% | 6.1–7.6 |
| Independent living disability among adults | 5.7% | 5.1–6.4 |
| Mobility disability among adults | 10.4% | 9.1–11.8 |
| Self-care disability among adults | 2.7% | 2.4–2.9 |
| Vision disability among adults | 3.2% | 2.9–3.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 16.7% | 14.4–18.9 |
| Food insecurity in the past 12 months among adults | 7.1% | 6.0–8.2 |
| Received food stamps in the past 12 months among adults | 4.6% | 3.9–5.4 |
| Housing insecurity in the past 12 months among adults | 6.1% | 5.3–7.1 |
| Lack of reliable transportation in the past 12 months among adults | 4.8% | 4.3–5.5 |
| Loneliness among adults | 26.9% | 23.8–30.2 |
| Utility services shut-off threat in the past 12 months among adults | 4.0% | 3.4–4.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.7% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 3.3% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 2.8% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 52.6% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 2.8% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 4.8% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 93.6% | 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 | 78.0% | 78.7% (51.7–94.0%) n=32,322 | 83.9% (67.0–94.0%) n=871 |
| Crowded housing (>1 per room) | 1.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.9%) n=871 |
| Foreign-born population | 4.1% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 53.4% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 21.8% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 44.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $115,040 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $474,400 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | $1,563 | $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 | 81.5 yr ± 0.58 | 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 0.58 years of 81.5, 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