ZIP code
56224
in Clements, MinnesotaPopulation 259
48.53/ 100
Ranked #18,273 of 32,066 US ZIPs (bottom 43%)
Ranked #763 of 866 Minnesota ZIPs (bottom 11.9%)
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.
Energy-cost burden
6.6%
in the top 1.6% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Arsenic in groundwater
34%
in the top 2.4% nationally
Lower is healthier
ST92ndUS98thDefinition & 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 ›Radon
3.5 pCi/L
in the top 4.9% nationally
Lower is healthier
ST87thUS95thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Distance to a community health center
31.4 mi
in the top 3.8% nationally
Lower is healthier
ST72ndUS96thDefinition & 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 ›Short sleep
29.3%
in the bottom 6.8% nationally
Lower is healthier
ST33rdUS7thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Transportation noise
0.15%
in the bottom 9.3% nationally
Lower is healthier
ST12thUS9thDefinition & 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 ›Tree cover
0.24%
in the bottom 17% nationally
Higher is healthier
ST10thUS17thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Cross-source signals
Combined exposures in this ZIP
More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.
This area ranks among the highest 10% of US ZIP codes for both modeled radon and modeled groundwater arsenic.
See the full radon & arsenic analysis →
The read
By its overall health score, Clements, Minnesota (ZIP 56224) lands in the bottom 43% nationally (18,273rd) and the bottom 11.9% of Minnesota (763rd).
The burdens that read clearest in the data come first: modeled energy burden settles in the top 1.6% nationally, and arsenic lies in the top 2.4% nationally. Modeled radon resides in the top 4.9% nationally, and distance to a community health center lands in the top 3.8% nationally. Modeled fine-particle registers in the top 10.5% nationally, and binge drinking sits in the top 11.2% nationally. Better still, floodplain exposure rests at the national minimum, modeled short sleep is in the bottom 6.8% nationally, and modeled transportation noise stands in the bottom 9.3% nationally. Homeownership settles in the top 10.7% nationally.
To translate a couple of terms, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Overall, the nearest healthier neighbor is ZIP 56083, 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.
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 69%
21%
Climate / Disaster Risk
healthier than 86%
5%
About typical
Risk Behavior
healthier than 50%
11%
Disability
healthier than 55%
7%
Holding it back
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 22%
14%
Preventive Care
healthier than 34%
13%
Mental Health
healthier than 37%
8%
Healthcare Access
healthier than 3%
5%
Lifting this score
Climate / Disaster Risk
healthier than 72%
5%
About typical
Chronic Disease Burden
healthier than 48%
21%
Holding it back
Social Need / SDOH
healthier than 1%
16%
Environmental Hazard
healthier than 37%
14%
Preventive Care
healthier than 11%
13%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 22%
7%
Healthcare Access
healthier than 23%
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
56083
Minnesotashares a border
Score 49.40
Closest healthier
56087
Minnesotashares a border
Score 52.61
Similar health profile
56592
Minnesota96% similar profile
Score 47.32
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 | 25.0% | 22.3–27.9 |
| High blood pressure among adults | 32.5% | 28.9–36.3 |
| Cancer (non-skin) or melanoma among adults | 8.8% | 8.0–9.7 |
| Current asthma among adults | 10.4% | 9.4–11.7 |
| Coronary heart disease among adults | 6.8% | 6.1–7.6 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 5.9–7.9 |
| Depression among adults | 24.9% | 21.7–28.6 |
| Diagnosed diabetes among adults | 11.3% | 9.8–13.0 |
| High cholesterol among adults who have ever been screened | 34.0% | 30.4–38.0 |
| Obesity among adults | 37.2% | 30.5–44.4 |
| Stroke among adults | 3.6% | 3.2–4.0 |
| All teeth lost among adults aged >=65 years | 12.4% | 10.0–15.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 7.2–10.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.5% | 73.7–79.2 |
| Visits to doctor for routine checkup within the past year among adults | 73.6% | 69.8–77.1 |
| Cholesterol screening among adults | 83.7% | 81.6–85.7 |
| Colorectal cancer screening among adults aged 45–75 years | 66.2% | 61.3–71.0 |
| Visited dentist or dental clinic in the past year among adults | 62.0% | 58.3–65.7 |
| Mammography use among women aged 50-74 years | 76.7% | 69.3–83.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.0% | 16.1–22.3 |
| Current cigarette smoking among adults | 17.4% | 14.4–20.4 |
| No leisure-time physical activity among adults | 25.5% | 21.0–30.0 |
| Short sleep duration among adults | 29.3% | 23.5–35.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.7% | 15.9–21.5 |
| Frequent mental distress among adults | 17.0% | 15.0–18.9 |
| Frequent physical distress among adults | 13.3% | 11.5–15.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.1% | 13.1–17.1 |
| Any disability among adults | 30.6% | 26.4–34.9 |
| Hearing disability among adults | 8.1% | 7.2–9.1 |
| Independent living disability among adults | 8.5% | 7.4–9.7 |
| Mobility disability among adults | 13.4% | 11.4–15.4 |
| Self-care disability among adults | 3.8% | 3.3–4.4 |
| Vision disability among adults | 4.8% | 4.2–5.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.5% | 18.3–25.1 |
| Food insecurity in the past 12 months among adults | 13.6% | 11.0–16.3 |
| Received food stamps in the past 12 months among adults | 10.2% | 8.2–12.4 |
| Housing insecurity in the past 12 months among adults | 10.5% | 8.7–12.3 |
| Lack of reliable transportation in the past 12 months among adults | 8.1% | 6.9–9.3 |
| Loneliness among adults | 31.3% | 26.6–36.6 |
| Utility services shut-off threat in the past 12 months among adults | 6.8% | 5.7–7.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.8% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 11.2% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 6.9% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 11.0% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 3.3% | 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 | 81.7% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 15.6% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 93.6% | 78.7% (51.7–94.0%) n=32,322 | 83.9% (67.0–94.0%) n=871 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.9%) n=871 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 58.0% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 15.4% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 39.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $71,250 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $115,000 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | — | $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 | 79.8 yr ± 1.54 | 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 1.54 years of 79.8, 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