ZIP code
56547
in Glyndon, MinnesotaPopulation 2,762
57.55/ 100
Ranked #6,759 of 32,066 US ZIPs (top 21%)
Ranked #199 of 866 Minnesota ZIPs (top 23%)
Ranked #24 of 36 Fargo, ND-MN ZIPs (bottom 33%)
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.
Fine-particle (PM2.5) exceedance
3.7%
in the top 1.7% nationally
Lower is healthier
ST99thUS98thDefinition & 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 ›Loud transportation noise
2.5%
in the top 5.1% nationally
Lower is healthier
ST98thUS95thDefinition & 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 ›Transportation noise
13.3%
in the top 5.3% nationally
Lower is healthier
ST98thUS95thDefinition & 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 ›Civic-institution access
0.77 per 1,000 residents
in the top 6.7% nationally
Higher is healthier
ST94thUS93rdDefinition & source ›
The number of civic and social organizations 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 ›Lithium in drinking water
67 µg/L
in the top 7.0% nationally
Lower is healthier
ST97thUS93rdDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Outer-floodplain exposure
3.9%
in the top 9.0% nationally
Lower is healthier
ST96thUS91stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Mammography
81.1%
in the top 6.4% nationally
Higher is healthier
ST93rdUS94thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Arsenic in groundwater
15.7%
in the top 9.4% nationally
Lower is healthier
ST73rdUS91stDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Binge drinking
19.3%
in the top 9.3% nationally
Lower is healthier
ST84thUS91stDefinition & 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 ›Fatal road crashes
32.6 per 100,000 residents per year
in the top 11.2% nationally
Lower is healthier
ST95thUS89thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›The read
By the composite measure, Glyndon, Minnesota (ZIP 56547) sits in the top 21% healthiest ZIPs nationally (6,759th) and the top 23% of Minnesota (199th).
Where the data leans one way, another reading answers it: civic lies in the top 6.7% nationally, and modeled mammography settles in the top 6.4% nationally. On the other hand, modeled fine-particle stands in the top 1.7% nationally, loud transportation noise is in the top 5.1% nationally, and transportation noise rests in the top 5.3% nationally. Lithium in drinking water sits in the top 7.0% nationally, and outer-floodplain exposure registers in the top 9.0% nationally. Modeled arsenic lands in the top 9.4% nationally, and radon resides in the top 11.5% nationally. Modeled binge drinking lies in the top 9.3% nationally.
Compared with the ZIPs that surround it, park land runs far lower than the surrounding ZIPs on this measure. In plain language, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. ZIP 58103, about 4.8 miles away, ranks healthier overall.
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 Fargo, ND-MN 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 83%
21%
Social Need / SDOH
healthier than 75%
16%
Preventive Care
healthier than 70%
13%
Risk Behavior
healthier than 65%
11%
Disability
healthier than 84%
7%
About typical
Mental Health
healthier than 52%
8%
Climate / Disaster Risk
healthier than 57%
5%
Healthcare Access
healthier than 46%
5%
Holding it back
Environmental Hazard
healthier than 6%
14%
Lifting this score
Chronic Disease Burden
healthier than 73%
21%
Social Need / SDOH
healthier than 69%
16%
Preventive Care
healthier than 62%
13%
Disability
healthier than 76%
7%
Healthcare Access
healthier than 78%
5%
About typical
Risk Behavior
healthier than 50%
11%
Holding it back
Environmental Hazard
healthier than 9%
14%
Mental Health
healthier than 38%
8%
Climate / Disaster Risk
healthier than 23%
5%
Lifting this score
Healthcare Access
healthier than 79%
5%
About typical
Chronic Disease Burden
healthier than 48%
21%
Climate / Disaster Risk
healthier than 42%
5%
Holding it back
Social Need / SDOH
healthier than 30%
16%
Environmental Hazard
healthier than 24%
14%
Preventive Care
healthier than 39%
13%
Risk Behavior
healthier than 24%
11%
Mental Health
healthier than 21%
8%
Disability
healthier than 39%
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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 6.0 (bottom 10%); chronic-disease standing 83.0 — 77 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,982 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.
Nearby
56514
Minnesotashares a border
Score 57.49
Closest healthier
58103
North Dakotaabout 4.8 mi away
Score 57.77
Similar health profile
43235
Ohio99% similar profile
Score 60.58
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 | 22.0% | 19.4–24.8 |
| High blood pressure among adults | 31.7% | 28.3–35.3 |
| Cancer (non-skin) or melanoma among adults | 8.3% | 7.5–9.1 |
| Current asthma among adults | 10.2% | 9.0–11.5 |
| Coronary heart disease among adults | 5.6% | 4.9–6.3 |
| Chronic obstructive pulmonary disease among adults | 5.3% | 4.6–6.0 |
| Depression among adults | 25.1% | 21.8–28.6 |
| Diagnosed diabetes among adults | 9.9% | 8.5–11.3 |
| High cholesterol among adults who have ever been screened | 35.1% | 31.4–38.9 |
| Obesity among adults | 33.6% | 28.1–39.3 |
| Stroke among adults | 2.9% | 2.6–3.2 |
| All teeth lost among adults aged >=65 years | 8.7% | 7.0–10.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.3% | 5.1–7.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.3% | 71.0–77.4 |
| Visits to doctor for routine checkup within the past year among adults | 74.1% | 70.6–77.4 |
| Cholesterol screening among adults | 86.0% | 84.2–87.7 |
| Colorectal cancer screening among adults aged 45–75 years | 71.2% | 66.8–75.2 |
| Visited dentist or dental clinic in the past year among adults | 71.5% | 68.4–74.4 |
| Mammography use among women aged 50-74 years | 81.1% | 74.8–86.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.3% | 16.3–22.5 |
| Current cigarette smoking among adults | 14.2% | 11.9–16.7 |
| No leisure-time physical activity among adults | 20.8% | 17.5–24.4 |
| Short sleep duration among adults | 31.3% | 26.3–36.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.8% | 12.6–17.0 |
| Frequent mental distress among adults | 15.1% | 13.1–17.0 |
| Frequent physical distress among adults | 11.2% | 9.7–12.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.4% | 10.7–14.1 |
| Any disability among adults | 25.7% | 22.3–29.4 |
| Hearing disability among adults | 6.3% | 5.6–7.1 |
| Independent living disability among adults | 6.6% | 5.7–7.5 |
| Mobility disability among adults | 10.4% | 9.0–12.0 |
| Self-care disability among adults | 3.1% | 2.7–3.4 |
| Vision disability among adults | 3.6% | 3.2–4.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.5% | 17.5–23.9 |
| Food insecurity in the past 12 months among adults | 10.2% | 8.3–12.4 |
| Received food stamps in the past 12 months among adults | 7.2% | 5.8–8.8 |
| Housing insecurity in the past 12 months among adults | 8.5% | 7.1–10.1 |
| Lack of reliable transportation in the past 12 months among adults | 6.3% | 5.4–7.3 |
| Loneliness among adults | 29.7% | 25.6–34.4 |
| Utility services shut-off threat in the past 12 months among adults | 5.5% | 4.7–6.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.0% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 2.1% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 5.0% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 30.5% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 1.7% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 1.5% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 89.3% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 19.8% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 92.1% | 78.7% (51.7–94.0%) n=32,322 | 83.9% (67.0–94.0%) n=871 |
| Crowded housing (>1 per room) | 0.9% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.9%) n=871 |
| Foreign-born population | 0.5% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 58.1% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 17.2% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 38.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $102,500 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $304,300 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | $661 | $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 | 80.9 yr ± 0.97 | 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 0.97 years of 80.9, 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