ZIP code
55005
in Bethel, MinnesotaPopulation 4,376
57.06/ 100
Ranked #7,215 of 32,066 US ZIPs (top 23%)
Ranked #220 of 866 Minnesota ZIPs (top 25%)
Ranked #147 of 224 Minneapolis-St. Paul-Bloomington, MN-WI ZIPs (bottom 34%)
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.
Binge drinking
20.5%
in the top 4.5% nationally
Lower is healthier
ST95thUS96thDefinition & 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 ›High cholesterol
30.5%
in the bottom 4.0% nationally
Lower is healthier
ST6thUS4thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Park land
27.5%
in the top 5.2% nationally
Higher is healthier
ST98thUS95thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Child-care access
0.61 per 1,000 residents
in the top 7.0% nationally
Higher is healthier
ST86thUS93rdDefinition & source ›
The number of child day-care services 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 ›Poverty rate
2.1%
in the bottom 7.0% nationally
Lower is healthier
ST3rdUS7thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›High blood pressure
27.7%
in the bottom 5.6% nationally
Lower is healthier
ST7thUS6thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Tooth loss
5.1%
in the bottom 2.4% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Coronary heart disease
4.7%
in the bottom 7.0% nationally
Lower is healthier
ST7thUS7thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Mobility disability
9.5%
in the bottom 7.2% nationally
Lower is healthier
ST9thUS7thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Fine-particle (PM2.5) exceedance
1.1%
in the top 9.1% nationally
Lower is healthier
ST47thUS91stDefinition & 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
Bethel, Minnesota (ZIP 55005), in overall standing, comes out in the top 23% healthiest ZIPs nationally (7,215th) and the top 25% of Minnesota (220th).
The measures that most flatter this area set the tone for the rest: modeled high cholesterol registers in the bottom 4.0% nationally, park land is in the top 5.2% nationally, and childcare lies in the top 7.0% nationally. Poverty registers in the bottom 7.0% nationally, modeled high blood pressure is in the bottom 5.6% nationally, and modeled tooth loss lies in the bottom 2.4% nationally. Modeled coronary heart disease registers in the bottom 7.0% nationally, and mobility disability is in the bottom 7.2% nationally. Against that, modeled binge drinking lies in the top 4.5% nationally, and fine-particle registers in the top 9.1% nationally.
Set within its surrounding area, park land runs far higher than the surrounding ZIPs on this measure. Defined simply, for reference, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. The closest healthier ZIP overall is ZIP 55011, 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 92%
21%
Social Need / SDOH
healthier than 84%
16%
Disability
healthier than 87%
7%
About typical
Environmental Hazard
healthier than 46%
14%
Risk Behavior
healthier than 50%
11%
Climate / Disaster Risk
healthier than 40%
5%
Holding it back
Preventive Care
healthier than 34%
13%
Mental Health
healthier than 23%
8%
Healthcare Access
healthier than 11%
5%
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 78%
16%
Environmental Hazard
healthier than 78%
14%
Disability
healthier than 82%
7%
About typical
Healthcare Access
healthier than 48%
5%
Holding it back
Preventive Care
healthier than 10%
13%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 3%
8%
Climate / Disaster Risk
healthier than 11%
5%
Lifting this score
Chronic Disease Burden
healthier than 68%
21%
Environmental Hazard
healthier than 91%
14%
About typical
Social Need / SDOH
healthier than 45%
16%
Disability
healthier than 57%
7%
Holding it back
Preventive Care
healthier than 17%
13%
Risk Behavior
healthier than 20%
11%
Mental Health
healthier than 6%
8%
Climate / Disaster Risk
healthier than 17%
5%
Healthcare Access
healthier than 22%
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
55011
Minnesotashares a border
Score 58.95
Closest healthier
55092
Minnesotashares a border
Score 59.26
Similar health profile
22712
Virginia95% similar profile
Score 53.28
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 | 19.8% | 17.8–21.9 |
| High blood pressure among adults | 27.7% | 25.1–30.3 |
| Cancer (non-skin) or melanoma among adults | 7.0% | 6.4–7.7 |
| Current asthma among adults | 10.3% | 9.2–11.5 |
| Coronary heart disease among adults | 4.7% | 4.2–5.3 |
| Chronic obstructive pulmonary disease among adults | 4.8% | 4.2–5.5 |
| Depression among adults | 27.3% | 24.4–30.2 |
| Diagnosed diabetes among adults | 8.9% | 7.8–10.1 |
| High cholesterol among adults who have ever been screened | 30.5% | 27.8–33.2 |
| Obesity among adults | 36.2% | 32.2–40.2 |
| Stroke among adults | 2.5% | 2.3–2.8 |
| All teeth lost among adults aged >=65 years | 5.1% | 4.1–6.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.8% | 5.6–8.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.7% | 70.5–76.7 |
| Visits to doctor for routine checkup within the past year among adults | 70.6% | 67.5–73.7 |
| Cholesterol screening among adults | 84.1% | 82.2–86.1 |
| Colorectal cancer screening among adults aged 45–75 years | 66.9% | 63.5–70.1 |
| Visited dentist or dental clinic in the past year among adults | 67.2% | 64.5–69.8 |
| Mammography use among women aged 50-74 years | 76.5% | 71.3–81.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.5% | 17.9–23.3 |
| Current cigarette smoking among adults | 14.8% | 12.5–17.0 |
| No leisure-time physical activity among adults | 22.6% | 19.6–25.8 |
| Short sleep duration among adults | 31.4% | 28.2–34.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.7% | 12.7–16.8 |
| Frequent mental distress among adults | 17.1% | 15.3–19.1 |
| Frequent physical distress among adults | 11.2% | 9.9–12.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.9% | 12.3–15.7 |
| Any disability among adults | 26.5% | 23.6–29.7 |
| Hearing disability among adults | 5.7% | 5.1–6.4 |
| Independent living disability among adults | 6.5% | 5.7–7.4 |
| Mobility disability among adults | 9.5% | 8.2–11.0 |
| Self-care disability among adults | 2.7% | 2.4–3.1 |
| Vision disability among adults | 3.3% | 2.9–3.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.5% | 21.6–27.5 |
| Food insecurity in the past 12 months among adults | 10.2% | 8.4–12.1 |
| Received food stamps in the past 12 months among adults | 6.4% | 5.2–7.8 |
| Housing insecurity in the past 12 months among adults | 9.4% | 7.9–11.0 |
| Lack of reliable transportation in the past 12 months among adults | 6.7% | 5.8–7.6 |
| Loneliness among adults | 32.0% | 28.6–35.3 |
| Utility services shut-off threat in the past 12 months among adults | 5.5% | 4.7–6.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.1% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 4.3% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 4.2% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 17.3% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 6.2% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 1.0% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 94.8% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 18.4% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 88.5% | 78.7% (51.7–94.0%) n=32,322 | 83.9% (67.0–94.0%) n=871 |
| Crowded housing (>1 per room) | 1.9% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.9%) n=871 |
| Foreign-born population | 2.7% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 56.2% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 12.2% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 38.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $109,107 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $340,600 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | $1,810 | $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 | 81.0 yr ± 1.28 | 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 1.28 years of 81.0, 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