ZIP code
55029
in Grandy, MinnesotaPopulation 31
46.31/ 100
Ranked #20,978 of 32,066 US ZIPs (bottom 35%)
Ranked #814 of 866 Minnesota ZIPs (bottom 6.1%)
Ranked #215 of 224 Minneapolis-St. Paul-Bloomington, MN-WI ZIPs (bottom 4.1%)
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.
Loneliness
26.4%
in the bottom 1.7% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Natural-disaster risk
in the bottom 1.8% nationally
Lower is healthier
ST1stUS2ndDefinition & 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 ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Distance to a community health center
33.1 mi
in the top 3.4% nationally
Lower is healthier
ST75thUS97thDefinition & 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 ›Transportation noise
16.4%
in the top 3.6% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Expected annual disaster loss
$0
in the bottom 3.8% nationally
Lower is healthier
ST2ndUS4thDefinition & 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 ›Loud transportation noise
2.8%
in the top 4.4% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Fine-particle (PM2.5) exceedance
1.4%
in the top 6.9% nationally
Lower is healthier
ST64thUS93rdDefinition & 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 ›Fiber broadband
95.9%
in the top 9.5% nationally
Higher is healthier
ST82ndUS91stDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›The read
Grandy, Minnesota (ZIP 55029), by its overall standing, sits in the bottom 35% nationally (20,978th) and the bottom 6.1% of Minnesota (814th).
The data points to real strain across a number of measures here: distance to a community health center lies in the top 3.4% nationally, modeled transportation noise sits in the top 3.6% nationally, and modeled loud transportation noise settles in the top 4.4% nationally. Modeled fine-particle registers in the top 6.9% nationally. On the brighter side, modeled loneliness stands in the bottom 1.7% nationally, and disaster risk lands in the bottom 1.8% nationally. Poverty is at the national minimum, and home broadband subscription resides at the national maximum. Modeled expected annual loss rests in the bottom 3.8% nationally. Unemployment lies at the national minimum, shared with about 15% of ZIPs.
Defined in plain terms, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. 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 55008, 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
Mental Health
healthier than 69%
8%
About typical
Social Need / SDOH
healthier than 53%
16%
Preventive Care
healthier than 48%
13%
Climate / Disaster Risk
healthier than 57%
5%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Environmental Hazard
healthier than 18%
14%
Risk Behavior
healthier than 17%
11%
Disability
healthier than 35%
7%
Healthcare Access
healthier than 3%
5%
Lifting this score
Mental Health
healthier than 81%
8%
About typical
Social Need / SDOH
healthier than 44%
16%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Environmental Hazard
healthier than 26%
14%
Preventive Care
healthier than 22%
13%
Risk Behavior
healthier than 2%
11%
Disability
healthier than 6%
7%
Climate / Disaster Risk
healthier than 23%
5%
Healthcare Access
healthier than 21%
5%
Lifting this score
Mental Health
healthier than 74%
8%
About typical
Environmental Hazard
healthier than 45%
14%
Holding it back
Chronic Disease Burden
healthier than 1%
21%
Social Need / SDOH
healthier than 13%
16%
Preventive Care
healthier than 30%
13%
Risk Behavior
healthier than 2%
11%
Disability
healthier than 4%
7%
Climate / Disaster Risk
healthier than 39%
5%
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
55008
Minnesotashares a border
Score 53.47
Closest healthier
55080
Minnesotashares a border
Score 52.60
Similar health profile
50451
Iowa96% similar profile
Score 44.77
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 | 31.1% | 27.3–34.9 |
| High blood pressure among adults | 41.2% | 36.3–45.9 |
| Cancer (non-skin) or melanoma among adults | 10.4% | 9.3–11.8 |
| Current asthma among adults | 9.7% | 8.4–11.0 |
| Coronary heart disease among adults | 9.2% | 7.7–10.8 |
| Chronic obstructive pulmonary disease among adults | 9.5% | 7.3–12.0 |
| Depression among adults | 22.7% | 19.2–26.3 |
| Diagnosed diabetes among adults | 15.1% | 12.5–17.8 |
| High cholesterol among adults who have ever been screened | 40.6% | 36.0–45.0 |
| Obesity among adults | 37.8% | 30.9–45.0 |
| Stroke among adults | 4.6% | 3.8–5.5 |
| All teeth lost among adults aged >=65 years | 9.1% | 7.3–11.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 5.9–12.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.9% | 76.4–83.1 |
| Visits to doctor for routine checkup within the past year among adults | 75.2% | 71.1–79.0 |
| Cholesterol screening among adults | 86.2% | 83.1–88.9 |
| Colorectal cancer screening among adults aged 45–75 years | 67.2% | 62.6–71.7 |
| Visited dentist or dental clinic in the past year among adults | 58.5% | 54.8–62.1 |
| Mammography use among women aged 50-74 years | 77.1% | 69.9–83.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.6% | 14.6–21.0 |
| Current cigarette smoking among adults | 22.1% | 16.5–27.8 |
| No leisure-time physical activity among adults | 30.0% | 23.5–36.6 |
| Short sleep duration among adults | 33.2% | 27.8–39.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.7% | 18.0–28.1 |
| Frequent mental distress among adults | 14.9% | 12.5–17.2 |
| Frequent physical distress among adults | 16.1% | 13.3–19.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.2% | 11.4–17.4 |
| Any disability among adults | 33.7% | 27.8–39.9 |
| Hearing disability among adults | 9.5% | 8.1–11.1 |
| Independent living disability among adults | 8.9% | 7.1–10.9 |
| Mobility disability among adults | 17.1% | 13.6–21.1 |
| Self-care disability among adults | 5.2% | 4.0–6.6 |
| Vision disability among adults | 5.6% | 4.4–7.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.4% | 18.3–26.8 |
| Food insecurity in the past 12 months among adults | 14.0% | 10.2–18.8 |
| Received food stamps in the past 12 months among adults | 11.4% | 8.1–15.3 |
| Housing insecurity in the past 12 months among adults | 10.0% | 7.6–12.6 |
| Lack of reliable transportation in the past 12 months among adults | 7.7% | 6.1–9.6 |
| Loneliness among adults | 26.4% | 21.8–31.4 |
| Utility services shut-off threat in the past 12 months among adults | 7.1% | 5.6–8.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 16.7% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 0.0% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 30.0% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 70.0% | 78.7% (51.7–94.0%) n=32,322 | 83.9% (67.0–94.0%) n=871 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.9%) n=871 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 50.0% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 22.6% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 25.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $74,167 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | — | $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 | 81.3 yr ± 1.46 | 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 1.46 years of 81.3, 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