ZIP code
56566
in Naytahwaush, MinnesotaPopulation 613
27.40/ 100
Ranked #31,184 of 32,066 US ZIPs (bottom 2.8%)
Ranked #863 of 866 Minnesota ZIPs (bottom 0.4%)
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.
Distance to a community health center
56.3 mi
in the top 0.8% nationally
Lower is healthier
ST92ndUS99thDefinition & 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 ›Energy-cost burden
6.4%
in the top 2.0% nationally
Lower is healthier
ST95thUS98thDefinition & 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 ›Vision disability
10.2%
in the top 4.5% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Lack of transportation
20.5%
in the top 2.0% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Fine-particle (PM2.5) exceedance
2.7%
in the top 2.7% nationally
Lower is healthier
ST94thUS97thDefinition & 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 ›Independent-living disability
13.8%
in the top 4.5% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Unemployment rate
16.7%
in the top 3.0% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Obesity
47.2%
in the top 2.0% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Tooth loss
27%
in the top 5.2% nationally
Lower is healthier
ST99thUS95thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
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 ›Cross-source signals
Health need and barriers to care documented here
On our reading, this ZIP code carries the overlap at its severe level: severe means at least four of the six health-need readings and at least four of the six access barriers apply to the same place.
These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.
Health need documented here
- People living in poverty
- Food insecurity
- Housing insecurity
- Adults reporting fair or poor health
- Chronic conditions
Barriers to reaching care
- Distance to the nearest community health center
- Thin local supply of doctors
- Thin local supply of pharmacies
- Households with no vehicle
A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.
See the full care-deserts analysis →The read
In overall standing, Naytahwaush, Minnesota (ZIP 56566) comes out in the bottom 2.8% nationally (31,184th) and the bottom 0.4% of Minnesota (863rd).
The measures that shape daily life here come through in the data: distance to a community health center settles in the top 0.8% nationally, modeled energy burden registers in the top 2.0% nationally, and modeled vision disability stands in the top 4.5% nationally. Modeled transportation lands in the top 2.0% nationally, fine-particle is in the top 2.7% nationally, and independent living disability resides in the top 4.5% nationally. Unemployment rests in the top 3.0% nationally, and modeled obesity lies in the top 2.0% nationally. Modeled tooth loss sits in the top 5.2% nationally. More encouragingly, floodplain exposure settles at the national minimum.
In plain 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. Energy burden is the share of household income that goes to home energy bills. The nearest healthier ZIP overall is ZIP 56557, just across the boundary. This ZIP further shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.
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
Climate / Disaster Risk
healthier than 96%
5%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
in the bottom 0.5%
16%
Environmental Hazard
healthier than 26%
14%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 5%
7%
Healthcare Access
in the bottom 0.6%
5%
Lifting this score
Climate / Disaster Risk
healthier than 96%
5%
About typical
Environmental Hazard
healthier than 48%
14%
Holding it back
Chronic Disease Burden
healthier than 2%
21%
Social Need / SDOH
in the bottom 0.00%
16%
Preventive Care
healthier than 1%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
in the bottom 0.5%
8%
Disability
in the bottom 0.2%
7%
Healthcare Access
in the bottom 0.4%
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
56557
Minnesotashares a border
Score 33.97
Closest healthier
56589
Minnesotashares a border
Score 34.97
Similar health profile
89427
Nevada98% similar profile
Score 20.98
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 | 26.9% | 23.7–30.1 |
| High blood pressure among adults | 36.6% | 32.3–40.9 |
| Cancer (non-skin) or melanoma among adults | 6.6% | 5.9–7.2 |
| Current asthma among adults | 14.2% | 12.5–15.9 |
| Coronary heart disease among adults | 8.6% | 7.6–9.6 |
| Chronic obstructive pulmonary disease among adults | 9.5% | 8.1–10.9 |
| Depression among adults | 26.8% | 22.8–30.9 |
| Diagnosed diabetes among adults | 18.8% | 16.5–21.0 |
| High cholesterol among adults who have ever been screened | 32.0% | 28.0–36.0 |
| Obesity among adults | 47.2% | 38.6–55.5 |
| Stroke among adults | 5.3% | 4.8–5.9 |
| All teeth lost among adults aged >=65 years | 27.0% | 22.6–31.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.3% | 9.6–15.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.4% | 72.4–78.2 |
| Visits to doctor for routine checkup within the past year among adults | 73.8% | 69.8–77.6 |
| Cholesterol screening among adults | 79.2% | 76.4–82.0 |
| Colorectal cancer screening among adults aged 45–75 years | 62.3% | 56.9–67.2 |
| Visited dentist or dental clinic in the past year among adults | 47.5% | 43.6–51.1 |
| Mammography use among women aged 50-74 years | 69.3% | 60.6–76.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.2% | 13.3–19.5 |
| Current cigarette smoking among adults | 29.2% | 24.9–33.6 |
| No leisure-time physical activity among adults | 35.9% | 30.4–41.6 |
| Short sleep duration among adults | 38.5% | 31.7–45.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 31.6% | 27.7–35.8 |
| Frequent mental distress among adults | 21.9% | 19.4–24.6 |
| Frequent physical distress among adults | 19.3% | 16.9–21.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.5% | 18.7–24.4 |
| Any disability among adults | 44.4% | 39.0–49.8 |
| Hearing disability among adults | 10.7% | 9.5–12.0 |
| Independent living disability among adults | 13.8% | 12.0–15.7 |
| Mobility disability among adults | 21.7% | 18.8–24.7 |
| Self-care disability among adults | 6.4% | 5.6–7.3 |
| Vision disability among adults | 10.2% | 8.9–11.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.3% | 25.9–34.9 |
| Food insecurity in the past 12 months among adults | 35.0% | 29.7–40.2 |
| Received food stamps in the past 12 months among adults | 27.5% | 23.0–32.0 |
| Housing insecurity in the past 12 months among adults | 24.3% | 20.7–27.9 |
| Lack of reliable transportation in the past 12 months among adults | 20.5% | 17.7–23.3 |
| Loneliness among adults | 36.8% | 31.4–42.6 |
| Utility services shut-off threat in the past 12 months among adults | 17.1% | 14.7–19.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 34.4% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 19.6% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 14.4% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 11.6% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 16.7% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 15.9% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 92.0% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 21.9% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 53.2% | 78.7% (51.7–94.0%) n=32,322 | 83.9% (67.0–94.0%) n=871 |
| Crowded housing (>1 per room) | 11.9% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.9%) n=871 |
| Foreign-born population | 1.1% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 38.0% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 14.5% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 28.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $44,583 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $118,300 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | $400 | $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 | 78.6 yr ± 3.16 | 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 3.16 years of 78.6, 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