ZIP code
55040
in Isanti, MinnesotaPopulation 14,837
53.55/ 100
Ranked #11,302 of 32,066 US ZIPs (top 35%)
Ranked #448 of 866 Minnesota ZIPs (bottom 48%)
Ranked #184 of 224 Minneapolis-St. Paul-Bloomington, MN-WI ZIPs (bottom 18%)
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 7.3% nationally
Lower is healthier
ST60thUS93rdDefinition & 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
18 mi
in the top 9.5% nationally
Lower is healthier
ST49thUS91stDefinition & 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 ›PFAS in drinking water
54.2%
in the top 10.9% nationally
Lower is healthier
ST95thUS89thDefinition & 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 ›High blood pressure
29.6%
in the bottom 9.8% nationally
Lower is healthier
ST15thUS10thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›High cholesterol
32.7%
in the bottom 8.5% nationally
Lower is healthier
ST18thUS8thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Floodplain exposure
22.5%
in the top 15% nationally
Lower is healthier
ST91stUS85thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
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 ›The read
Isanti, Minnesota (ZIP 55040), on the composite measure, lands in the top 35% healthiest ZIPs nationally (11,302nd) and the bottom 48% of Minnesota (448th).
Reading across the measures, this area's clearest strengths come through: modeled high blood pressure is in the bottom 9.8% nationally, high cholesterol rests in the bottom 8.5% nationally, and diabetes sits in the bottom 13.0% nationally. Modeled mobility disability registers in the bottom 15% nationally, and coronary heart disease lands in the bottom 19% nationally. By contrast, modeled binge drinking resides in the top 5.8% nationally, and fine-particle lies in the top 7.3% nationally. Distance to a community health center settles in the top 9.5% nationally, and modeled pfas stands in the top 10.9% nationally. Floodplain exposure is in the top 15% nationally.
Set against the neighboring ZIPs, park land runs far lower than the surrounding ZIPs on this measure. In everyday language, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. A healthier neighbor overall sits at ZIP 55005, 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 83%
21%
Social Need / SDOH
healthier than 62%
16%
Disability
healthier than 75%
7%
About typical
Environmental Hazard
healthier than 45%
14%
Holding it back
Preventive Care
healthier than 30%
13%
Risk Behavior
healthier than 39%
11%
Mental Health
healthier than 36%
8%
Climate / Disaster Risk
healthier than 40%
5%
Healthcare Access
healthier than 10%
5%
Lifting this score
Chronic Disease Burden
healthier than 72%
21%
Environmental Hazard
healthier than 77%
14%
Disability
healthier than 61%
7%
About typical
Social Need / SDOH
healthier than 55%
16%
Healthcare Access
healthier than 47%
5%
Holding it back
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 12%
8%
Climate / Disaster Risk
healthier than 10%
5%
Lifting this score
Environmental Hazard
healthier than 90%
14%
Holding it back
Chronic Disease Burden
healthier than 39%
21%
Social Need / SDOH
healthier than 15%
16%
Preventive Care
healthier than 15%
13%
Risk Behavior
healthier than 11%
11%
Mental Health
healthier than 16%
8%
Disability
healthier than 28%
7%
Climate / Disaster Risk
healthier than 16%
5%
Healthcare Access
healthier than 21%
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
55056
Minnesotashares a border
Score 55.59
Similar health profile
55363
Minnesota95% 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 | 22.6% | 19.9–25.4 |
| High blood pressure among adults | 29.6% | 26.1–33.3 |
| Cancer (non-skin) or melanoma among adults | 7.8% | 7.0–8.6 |
| Current asthma among adults | 10.2% | 9.0–11.4 |
| Coronary heart disease among adults | 5.7% | 5.1–6.4 |
| Chronic obstructive pulmonary disease among adults | 5.9% | 5.1–6.7 |
| Depression among adults | 25.3% | 21.8–28.9 |
| Diagnosed diabetes among adults | 9.6% | 8.3–11.1 |
| High cholesterol among adults who have ever been screened | 32.7% | 28.9–36.7 |
| Obesity among adults | 32.9% | 26.7–39.5 |
| Stroke among adults | 3.0% | 2.7–3.3 |
| All teeth lost among adults aged >=65 years | 14.2% | 11.5–17.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.1% | 6.7–9.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.2% | 70.9–77.1 |
| Visits to doctor for routine checkup within the past year among adults | 71.8% | 67.8–75.6 |
| Cholesterol screening among adults | 82.8% | 80.7–84.9 |
| Colorectal cancer screening among adults aged 45–75 years | 68.7% | 64.2–72.9 |
| Visited dentist or dental clinic in the past year among adults | 63.9% | 60.4–67.3 |
| Mammography use among women aged 50-74 years | 75.0% | 67.5–81.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.1% | 16.8–23.6 |
| Current cigarette smoking among adults | 16.7% | 14.2–19.3 |
| No leisure-time physical activity among adults | 23.9% | 20.1–28.1 |
| Short sleep duration among adults | 32.1% | 26.8–37.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.7% | 14.4–19.3 |
| Frequent mental distress among adults | 16.8% | 14.9–18.8 |
| Frequent physical distress among adults | 12.4% | 10.9–14.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.4% | 12.7–16.4 |
| Any disability among adults | 28.1% | 24.5–32.1 |
| Hearing disability among adults | 6.6% | 5.8–7.4 |
| Independent living disability among adults | 7.5% | 6.7–8.6 |
| Mobility disability among adults | 11.2% | 9.6–12.9 |
| Self-care disability among adults | 3.3% | 2.9–3.7 |
| Vision disability among adults | 4.0% | 3.6–4.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.7% | 19.4–26.3 |
| Food insecurity in the past 12 months among adults | 12.1% | 10.0–14.7 |
| Received food stamps in the past 12 months among adults | 8.7% | 7.1–10.5 |
| Housing insecurity in the past 12 months among adults | 9.9% | 8.3–11.7 |
| Lack of reliable transportation in the past 12 months among adults | 7.5% | 6.5–8.7 |
| Loneliness among adults | 30.1% | 25.6–34.9 |
| Utility services shut-off threat in the past 12 months among adults | 6.2% | 5.3–7.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.2% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 7.5% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 8.9% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 20.7% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 4.8% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 0.9% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 93.8% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 22.9% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 89.3% | 78.7% (51.7–94.0%) n=32,322 | 83.9% (67.0–94.0%) n=871 |
| Crowded housing (>1 per room) | 1.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.9%) n=871 |
| Foreign-born population | 1.7% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 60.4% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 15.0% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 38.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $90,900 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $314,000 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | $1,264 | $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 | 79.4 yr ± 1.03 | 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 1.03 years of 79.4, 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