ZIP code
55074
in Shafer, MinnesotaPopulation 2,393
57.02/ 100
Ranked #7,247 of 32,066 US ZIPs (top 23%)
Ranked #221 of 866 Minnesota ZIPs (top 26%)
Ranked #148 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
20.1%
in the top 5.8% nationally
Lower is healthier
ST92ndUS94thDefinition & 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 ›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 ›Distance to a community health center
21.8 mi
in the top 7.3% nationally
Lower is healthier
ST57thUS93rdDefinition & 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 ›Loneliness
28.3%
in the bottom 9.0% nationally
Lower is healthier
ST23rdUS9thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Fatal road crashes
29.3 per 100,000 residents per year
in the top 14.1% nationally
Lower is healthier
ST93rdUS86thDefinition & 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
On balance, and by the composite measure, Shafer, Minnesota (ZIP 55074) ranks in the top 23% healthiest ZIPs nationally (7,247th) and the top 26% of Minnesota (221st).
The profile opens on a set of genuinely favorable readings: modeled loneliness resides in the bottom 9.0% nationally, and high blood pressure lands in the bottom 10.4% nationally. Modeled mobility disability registers in the bottom 11.9% nationally, and park land sits in the top 14.0% nationally. Modeled coronary heart disease rests in the bottom 13.3% nationally, and diabetes is in the bottom 11.5% nationally. On the other side, modeled binge drinking stands in the top 5.8% nationally, modeled fine-particle settles in the top 6.9% nationally, and distance to a community health center lies in the top 7.3% nationally. Fatal road crashes resides in the top 14.1% nationally.
Compared with the ZIPs it borders, park land runs far higher than the surrounding ZIPs on this measure. In plainer terms, 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. For a healthier nearby ZIP overall, look to ZIP 54020, 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 84%
21%
Social Need / SDOH
healthier than 73%
16%
Disability
healthier than 84%
7%
Climate / Disaster Risk
healthier than 82%
5%
About typical
Preventive Care
healthier than 55%
13%
Risk Behavior
healthier than 53%
11%
Holding it back
Environmental Hazard
healthier than 34%
14%
Mental Health
healthier than 39%
8%
Healthcare Access
healthier than 8%
5%
Lifting this score
Chronic Disease Burden
healthier than 74%
21%
Social Need / SDOH
healthier than 68%
16%
Environmental Hazard
healthier than 62%
14%
Disability
healthier than 75%
7%
Climate / Disaster Risk
healthier than 63%
5%
About typical
Healthcare Access
healthier than 42%
5%
Holding it back
Preventive Care
healthier than 35%
13%
Risk Behavior
healthier than 25%
11%
Mental Health
healthier than 16%
8%
Lifting this score
Environmental Hazard
healthier than 70%
14%
Climate / Disaster Risk
healthier than 83%
5%
About typical
Chronic Disease Burden
healthier than 41%
21%
Preventive Care
healthier than 41%
13%
Disability
healthier than 44%
7%
Holding it back
Social Need / SDOH
healthier than 28%
16%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 19%
8%
Healthcare Access
healthier than 15%
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
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 33.9; chronic-disease standing 83.9 — 50 points apart, heavier on the environment than it is on chronic illness.
Ranked #14,371 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
54009
Wisconsinshares a border
Score 56.22
Closest healthier
54020
Wisconsinshares a border
Score 57.27
Similar health profile
22642
Virginia98% similar profile
Score 56.23
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 | 23.5% | 20.6–26.2 |
| High blood pressure among adults | 29.8% | 26.2–33.3 |
| Cancer (non-skin) or melanoma among adults | 7.9% | 7.1–8.7 |
| Current asthma among adults | 10.4% | 9.2–11.7 |
| Coronary heart disease among adults | 5.3% | 4.7–6.0 |
| Chronic obstructive pulmonary disease among adults | 5.3% | 4.5–6.0 |
| Depression among adults | 25.6% | 22.0–29.2 |
| Diagnosed diabetes among adults | 9.4% | 8.1–10.7 |
| High cholesterol among adults who have ever been screened | 33.3% | 29.5–36.9 |
| Obesity among adults | 36.7% | 30.5–42.8 |
| Stroke among adults | 2.8% | 2.5–3.0 |
| All teeth lost among adults aged >=65 years | 8.5% | 6.6–10.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.6% | 5.4–7.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.8% | 71.4–77.8 |
| Visits to doctor for routine checkup within the past year among adults | 74.3% | 70.3–77.7 |
| Cholesterol screening among adults | 85.0% | 82.9–87.0 |
| Colorectal cancer screening among adults aged 45–75 years | 69.2% | 64.6–73.5 |
| Visited dentist or dental clinic in the past year among adults | 66.9% | 63.3–70.2 |
| Mammography use among women aged 50-74 years | 79.1% | 72.1–84.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.1% | 16.8–23.4 |
| Current cigarette smoking among adults | 14.8% | 12.5–17.4 |
| No leisure-time physical activity among adults | 21.6% | 18.1–25.4 |
| Short sleep duration among adults | 31.9% | 26.6–37.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.9% | 12.7–17.2 |
| Frequent mental distress among adults | 16.2% | 14.2–18.2 |
| Frequent physical distress among adults | 11.4% | 10.0–13.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.2% | 11.5–15.0 |
| Any disability among adults | 27.0% | 23.3–31.1 |
| Hearing disability among adults | 6.2% | 5.5–7.0 |
| Independent living disability among adults | 6.7% | 5.8–7.6 |
| Mobility disability among adults | 10.6% | 9.0–12.3 |
| Self-care disability among adults | 2.9% | 2.6–3.3 |
| Vision disability among adults | 3.5% | 3.1–3.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.3% | 17.5–23.5 |
| Food insecurity in the past 12 months among adults | 10.1% | 8.3–12.0 |
| Received food stamps in the past 12 months among adults | 6.9% | 5.7–8.3 |
| Housing insecurity in the past 12 months among adults | 8.9% | 7.6–10.6 |
| Lack of reliable transportation in the past 12 months among adults | 6.5% | 5.7–7.5 |
| Loneliness among adults | 28.3% | 24.5–32.7 |
| Utility services shut-off threat in the past 12 months among adults | 5.4% | 4.6–6.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.4% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 5.2% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 3.8% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 24.6% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 1.6% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 1.1% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 92.1% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 19.5% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 90.2% | 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 | 3.1% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 56.1% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 14.0% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 40.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $106,625 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $297,500 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | $962 | $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 | 78.8 yr ± 0.89 | 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 0.89 years of 78.8, 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