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ZipVitals

ZIP code

55363

in Montrose, MinnesotaPopulation 5,814

53.41/ 100

Ranked #11,483 of 32,066 US ZIPs (top 36%)

Ranked #462 of 866 Minnesota ZIPs (bottom 47%)

Ranked #189 of 224 Minneapolis-St. Paul-Bloomington, MN-WI ZIPs (bottom 16%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Binge drinking

20.6%

in the top 4.2% nationally

Lower is healthier

ST96th
US96th
Definition & source ›

The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.

Full methodology ›

Distance to a community health center

23.8 mi

in the top 6.2% nationally

Lower is healthier

ST61st
US94th
Definition & 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 ›

High cholesterol

31.5%

in the bottom 5.5% nationally

Lower is healthier

ST9th
US5th
Definition & source ›

The estimated share of adults with high cholesterol, among those who have ever been screened for it.

Full methodology ›

Grocery access

0.19 per 1,000 residents

in the top 8.1% nationally

Higher is healthier

ST92nd
US92nd
Definition & 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 ›

Coronary heart disease

5.0%

in the bottom 9.7% nationally

Lower is healthier

ST9th
US10th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.

Full methodology ›

Fiber broadband

0.13%

in the bottom 21% nationally

Higher is healthier

ST7th
US21st
Definition & source ›

The share of homes where fiber-optic internet service is available.

Full methodology ›

Short sleep

33.5%

in the bottom 31% nationally

Lower is healthier

ST92nd
US31st
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

The read

In its overall standing, Montrose, Minnesota (ZIP 55363) lands in the top 36% healthiest ZIPs nationally (11,483rd) and the bottom 47% of Minnesota (462nd).

continue reading

Reading the numbers as a whole, this area's strong points come through first: modeled high cholesterol stands in the bottom 5.5% nationally, grocery rests in the top 8.1% nationally, and modeled coronary heart disease registers in the bottom 9.7% nationally. Fatal road crashes resides in the bottom 12.5% nationally, modeled high blood pressure settles in the bottom 10.7% nationally, and modeled stroke is in the bottom 10.2% nationally. Modeled mobility disability sits in the bottom 11.9% nationally. Set against that, modeled binge drinking lands in the top 4.2% nationally, and distance to a community health center lies in the top 6.2% nationally. Modeled fine-particle stands in the top 11.7% nationally.

Against the wider neighborhood, park land runs far higher than the surrounding ZIPs on this measure. Put simply, 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. On the overall standing, ZIP 55313, 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. 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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 87%

21%

Social Need / SDOH

healthier than 64%

16%

Disability

healthier than 77%

7%

Climate / Disaster Risk

healthier than 63%

5%

Holding it back

Environmental Hazard

healthier than 36%

14%

Preventive Care

healthier than 25%

13%

Risk Behavior

healthier than 36%

11%

Mental Health

healthier than 24%

8%

Healthcare Access

healthier than 7%

5%

Lifting this score

Chronic Disease Burden

healthier than 79%

21%

Environmental Hazard

healthier than 66%

14%

Disability

healthier than 66%

7%

About typical

Social Need / SDOH

healthier than 58%

16%

Holding it back

Preventive Care

healthier than 6%

13%

Risk Behavior

healthier than 6%

11%

Mental Health

healthier than 5%

8%

Climate / Disaster Risk

healthier than 31%

5%

Healthcare Access

healthier than 36%

5%

Lifting this score

Environmental Hazard

healthier than 76%

14%

About typical

Chronic Disease Burden

healthier than 48%

21%

Climate / Disaster Risk

healthier than 50%

5%

Holding it back

Social Need / SDOH

healthier than 17%

16%

Preventive Care

healthier than 11%

13%

Risk Behavior

healthier than 9%

11%

Mental Health

healthier than 8%

8%

Disability

healthier than 32%

7%

Healthcare Access

healthier than 10%

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 ›

Findings that name this ZIP

2 of our published findings list 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 80.3 ± 1.1 years. The 50 nearest ZIP codes with estimates average 82.3 years — 2.0 years below them.

    Ranked #1,589 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.

  • Heavy environment, light chronic burden

    Where the environment and chronic illness point in opposite directions

    Environmental-hazard standing 36.3; chronic-disease standing 86.5 — 50 points apart, heavier on the environment than it is on chronic illness.

    Ranked #14,398 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.

Nearby & similar ZIPs

Editorially selected — see how this ZIP compares to nearby and similar places.

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
MeasureCrude prevalence95% CI
Arthritis among adults21.1%18.9–23.5
High blood pressure among adults29.9%27.0–32.9
Cancer (non-skin) or melanoma among adults6.8%6.2–7.4
Current asthma among adults10.6%9.5–11.8
Coronary heart disease among adults5.0%4.5–5.6
Chronic obstructive pulmonary disease among adults5.4%4.7–6.2
Depression among adults26.5%23.5–29.8
Diagnosed diabetes among adults9.3%8.1–10.6
High cholesterol among adults who have ever been screened31.5%28.6–34.7
Obesity among adults38.0%33.2–43.2
Stroke among adults2.7%2.4–3.0
All teeth lost among adults aged >=65 years8.9%7.2–10.8
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years8.6%6.9–10.4
Taking medicine to control high blood pressure among adults with high blood pressure71.8%68.8–74.8
Visits to doctor for routine checkup within the past year among adults72.5%69.2–75.8
Cholesterol screening among adults82.2%79.7–84.3
Colorectal cancer screening among adults aged 45–75 years64.9%60.7–69.0
Visited dentist or dental clinic in the past year among adults64.6%61.4–67.8
Mammography use among women aged 50-74 years76.7%70.3–82.5
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults20.6%17.7–23.7
Current cigarette smoking among adults16.1%13.5–18.8
No leisure-time physical activity among adults22.7%19.3–26.4
Short sleep duration among adults33.5%29.1–38.1
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults16.8%14.4–19.3
Frequent mental distress among adults17.5%15.6–19.5
Frequent physical distress among adults11.7%10.3–13.2
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults14.8%12.9–16.7
Any disability among adults28.3%24.8–31.9
Hearing disability among adults6.1%5.4–6.8
Independent living disability among adults7.4%6.5–8.4
Mobility disability among adults10.6%9.1–12.2
Self-care disability among adults3.2%2.8–3.6
Vision disability among adults4.0%3.5–4.5
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults21.1%18.1–24.2
Food insecurity in the past 12 months among adults12.7%10.3–15.4
Received food stamps in the past 12 months among adults9.4%7.5–11.5
Housing insecurity in the past 12 months among adults10.8%9.0–12.9
Lack of reliable transportation in the past 12 months among adults7.7%6.5–8.9
Loneliness among adults31.1%27.1–35.2
Utility services shut-off threat in the past 12 months among adults6.8%5.8–8.0
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MN median (p10–p90)
Poverty rate10.5%10.6% (3.1–25.8%) n=32,3648.4% (3.6–16.8%) n=872
Uninsured 18–643.4%9.0% (1.5–24.3%) n=32,2866.2% (2.3–12.7%) n=872
No HS diploma (25+)11.0%7.9% (1.8–20.7%) n=32,5055.5% (2.2–11.2%) n=873
Bachelor's or higher (25+)30.7%23.3% (9.2–53.6%) n=32,50523.4% (13.6–48.8%) n=873
Unemployment rate (16+)4.0%3.9% (0.0–9.8%) n=32,2743.2% (0.8–7.1%) n=872
Households without a vehicle3.4%3.9% (0.0–12.5%) n=32,3223.4% (0.4–9.1%) n=871
Broadband subscription92.0%89.3% (75.1–97.1%) n=32,32289.2% (81.6–95.3%) n=871
Housing cost burden (≥30% income)19.2%23.7% (10.6–40.0%) n=32,32222.1% (14.0–31.1%) n=871
Homeownership rate79.9%78.7% (51.7–94.0%) n=32,32283.9% (67.0–94.0%) n=871
Crowded housing (>1 per room)3.0%1.3% (0.0–6.3%) n=32,3221.1% (0.0–3.9%) n=871
Foreign-born population3.9%2.6% (0.0–18.6%) n=32,5531.8% (0.1–11.9%) n=873
Single-parent households32.9%53.6% (37.3–74.1%) n=32,08756.9% (44.1–70.7%) n=870
Population 65+8.6%19.4% (10.8–33.6%) n=32,55320.2% (12.7–30.7%) n=873
Median age34.0 yr42.2 yr (33.0–56.3) n=32,29242.3 yr (35.2–54.3) n=873
Median household income$101,989$72,070 ($46,039–$118,707) n=30,318$77,917 ($58,441–$110,840) n=864
Median home value$296,800$222,200 ($100,300–$579,820) n=30,049$234,000 ($132,740–$396,860) n=857
Median gross rent$1,405$1,021 ($677–$1,912) n=25,670$925 ($650–$1,588) n=759
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)MN median (p10–p90)
Life expectancy at birth80.3 yr ± 0.5778.9 yr (74.7–82.8) n=31,30881.1 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 0.57 years of 80.3, and it’s very unlikely to be off by more than twice that.

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