ZIP code
55070
in St. Francis, MinnesotaPopulation 8,441
53.54/ 100
Ranked #11,311 of 32,066 US ZIPs (top 35%)
Ranked #450 of 866 Minnesota ZIPs (bottom 48%)
Ranked #185 of 224 Minneapolis-St. Paul-Bloomington, MN-WI ZIPs (bottom 17%)
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.
High cholesterol
30.2%
in the bottom 3.6% nationally
Lower is healthier
ST5thUS4thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Binge drinking
20.3%
in the top 5.2% nationally
Lower is healthier
ST94thUS95thDefinition & 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
1.1%
in the top 8.0% nationally
Lower is healthier
ST54thUS92ndDefinition & 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 ›High blood pressure
28.4%
in the bottom 6.8% nationally
Lower is healthier
ST9thUS7thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Coronary heart disease
5.0%
in the bottom 9.7% nationally
Lower is healthier
ST9thUS10thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Home broadband subscription
96.6%
in the top 11.7% nationally
Higher is healthier
ST95thUS88thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›PFAS in drinking water
47.6%
in the top 15% nationally
Lower is healthier
ST93rdUS85thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Mammography
72.4%
in the bottom 27% nationally
Higher is healthier
ST2ndUS27thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›The read
St. Francis, Minnesota (ZIP 55070), overall, ranks in the top 35% healthiest ZIPs nationally (11,311th) and the bottom 48% of Minnesota (450th).
This area's strengths are easy to pick out across the measures: modeled high cholesterol registers in the bottom 3.6% nationally, high blood pressure resides in the bottom 6.8% nationally, and coronary heart disease settles in the bottom 9.7% nationally. Home broadband subscription is in the top 11.7% nationally, modeled stroke sits in the bottom 10.2% nationally, and modeled mobility disability lands in the bottom 11.9% nationally. Working the other way, modeled binge drinking lies in the top 5.2% nationally, and fine-particle stands in the top 8.0% nationally. Distance to a community health center rests in the top 11.2% nationally, and distance to a nursing home registers in the top 14.8% nationally.
Measured against the nearby ZIPs, park land runs far lower than the surrounding ZIPs on this measure. Defined 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. ZIP 55005, just across the boundary, comes out healthier overall. This area also sits on the healthier half of the national range on at least seven of the ten good-life measures tracked here, from quiet and green space to nearby care, a combination reached by about one in twenty-five US ZIP codes.
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 88%
21%
Social Need / SDOH
healthier than 75%
16%
Disability
healthier than 77%
7%
About typical
Environmental Hazard
healthier than 54%
14%
Climate / Disaster Risk
healthier than 48%
5%
Holding it back
Preventive Care
healthier than 20%
13%
Risk Behavior
healthier than 37%
11%
Mental Health
healthier than 16%
8%
Healthcare Access
healthier than 9%
5%
Lifting this score
Chronic Disease Burden
healthier than 82%
21%
Social Need / SDOH
healthier than 69%
16%
Environmental Hazard
healthier than 85%
14%
Disability
healthier than 66%
7%
About typical
Healthcare Access
healthier than 43%
5%
Holding it back
Preventive Care
healthier than 4%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 2%
8%
Climate / Disaster Risk
healthier than 16%
5%
Lifting this score
Environmental Hazard
healthier than 98%
14%
About typical
Chronic Disease Burden
healthier than 55%
21%
Holding it back
Social Need / SDOH
healthier than 31%
16%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 10%
11%
Mental Health
healthier than 3%
8%
Disability
healthier than 32%
7%
Climate / Disaster Risk
healthier than 27%
5%
Healthcare Access
healthier than 17%
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
55005
Minnesotashares a border
Score 57.06
Closest healthier
55011
Minnesotashares a border
Score 58.95
Similar health profile
55363
Minnesota97% similar profile
Score 53.41
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 | 20.2% | 18.3–22.2 |
| High blood pressure among adults | 28.4% | 26.0–31.0 |
| Cancer (non-skin) or melanoma among adults | 6.8% | 6.2–7.5 |
| Current asthma among adults | 10.5% | 9.4–11.7 |
| Coronary heart disease among adults | 5.0% | 4.5–5.6 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.7–6.1 |
| Depression among adults | 27.8% | 25.0–30.7 |
| Diagnosed diabetes among adults | 9.4% | 8.3–10.5 |
| High cholesterol among adults who have ever been screened | 30.2% | 27.7–32.8 |
| Obesity among adults | 37.4% | 33.6–41.4 |
| Stroke among adults | 2.7% | 2.5–3.0 |
| All teeth lost among adults aged >=65 years | 9.2% | 7.5–11.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.9% | 6.6–9.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.2% | 70.3–75.9 |
| Visits to doctor for routine checkup within the past year among adults | 69.9% | 66.9–73.0 |
| Cholesterol screening among adults | 82.4% | 80.2–84.3 |
| Colorectal cancer screening among adults aged 45–75 years | 66.3% | 62.8–69.3 |
| Visited dentist or dental clinic in the past year among adults | 65.8% | 63.1–68.5 |
| Mammography use among women aged 50-74 years | 72.4% | 66.9–77.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.3% | 17.8–23.1 |
| Current cigarette smoking among adults | 16.6% | 14.3–18.9 |
| No leisure-time physical activity among adults | 24.9% | 21.9–28.0 |
| Short sleep duration among adults | 31.5% | 28.4–34.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.5% | 14.5–18.6 |
| Frequent mental distress among adults | 18.1% | 16.3–19.9 |
| Frequent physical distress among adults | 11.9% | 10.6–13.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.3% | 13.6–17.1 |
| Any disability among adults | 28.7% | 25.8–31.7 |
| Hearing disability among adults | 6.1% | 5.5–6.8 |
| Independent living disability among adults | 7.4% | 6.6–8.3 |
| Mobility disability among adults | 10.6% | 9.2–12.0 |
| Self-care disability among adults | 3.1% | 2.7–3.4 |
| Vision disability among adults | 3.8% | 3.4–4.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.3% | 22.4–28.4 |
| Food insecurity in the past 12 months among adults | 12.4% | 10.4–14.7 |
| Received food stamps in the past 12 months among adults | 8.5% | 7.0–10.2 |
| Housing insecurity in the past 12 months among adults | 10.9% | 9.3–12.7 |
| Lack of reliable transportation in the past 12 months among adults | 7.8% | 6.8–8.9 |
| Loneliness among adults | 32.7% | 29.5–36.2 |
| Utility services shut-off threat in the past 12 months among adults | 6.5% | 5.6–7.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.7% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 8.6% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 4.6% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 18.2% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 2.4% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 4.6% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 96.6% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 19.3% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 86.3% | 78.7% (51.7–94.0%) n=32,322 | 83.9% (67.0–94.0%) n=871 |
| Crowded housing (>1 per room) | 2.8% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.9%) n=871 |
| Foreign-born population | 1.2% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 39.5% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 11.5% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 35.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $108,750 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $328,500 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | $1,204 | $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 | 81.5 yr ± 2.67 | 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 2.67 years of 81.5, 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