ZIP code
56319
in Carlos, MinnesotaPopulation 1,283
58.60/ 100
Ranked #5,904 of 32,066 US ZIPs (top 18%)
Ranked #167 of 866 Minnesota ZIPs (top 19%)
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
58.3 mi
in the top 0.7% nationally
Lower is healthier
ST93rdUS99thDefinition & 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 ›Fatal road crashes
0 per 100,000 residents per year
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Short sleep
28.1%
in the bottom 3.3% nationally
Lower is healthier
ST16thUS3rdDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Fine-particle (PM2.5) exceedance
1.9%
in the top 4.6% nationally
Lower is healthier
ST83rdUS95thDefinition & 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 ›Utility shut-off threat
4.6%
in the bottom 8.6% nationally
Lower is healthier
ST11thUS9thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Loneliness
28.4%
in the bottom 9.6% nationally
Lower is healthier
ST25thUS10thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Colon-cancer screening
73%
in the top 7.3% nationally
Higher is healthier
ST86thUS93rdDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Tooth loss
6.3%
in the bottom 5.6% nationally
Lower is healthier
ST8thUS6thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Mammography
80.6%
in the top 8.3% nationally
Higher is healthier
ST90thUS92ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Vision disability
3.4%
in the bottom 8.6% nationally
Lower is healthier
ST12thUS9thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›The read
Carlos, Minnesota (ZIP 56319), overall, ranks in the top 18% healthiest ZIPs nationally (5,904th) and the top 19% of Minnesota (167th).
Reading the numbers as a whole, the picture lands somewhere in between: fatal road crashes stands at the national minimum, modeled short sleep rests in the bottom 3.3% nationally, and modeled utility shutoff registers in the bottom 8.6% nationally. Modeled loneliness resides in the bottom 9.6% nationally, colon screening settles in the top 7.3% nationally, and food insecurity is in the bottom 10.4% nationally. Modeled tooth loss sits in the bottom 5.6% nationally, and housing insecurity lands in the bottom 10.4% nationally. On the other side, distance to a community health center lies in the top 0.7% nationally, and modeled fine-particle stands in the top 4.6% nationally.
Measured against the nearby ZIPs, park land runs far higher 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 56355, just across the boundary, comes out healthier overall.
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 81%
21%
Social Need / SDOH
healthier than 73%
16%
Preventive Care
healthier than 80%
13%
Risk Behavior
healthier than 83%
11%
Disability
healthier than 84%
7%
Climate / Disaster Risk
healthier than 85%
5%
About typical
Mental Health
healthier than 54%
8%
Holding it back
Environmental Hazard
healthier than 18%
14%
Healthcare Access
healthier than 1%
5%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
Social Need / SDOH
healthier than 67%
16%
Preventive Care
healthier than 81%
13%
Risk Behavior
healthier than 85%
11%
Disability
healthier than 77%
7%
Climate / Disaster Risk
healthier than 69%
5%
About typical
Mental Health
healthier than 43%
8%
Holding it back
Environmental Hazard
healthier than 27%
14%
Healthcare Access
healthier than 6%
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 17.9; chronic-disease standing 81.2 — 63 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,735 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
56308
Minnesotashares a border
Score 55.06
Closest healthier
56355
Minnesotashares a border
Score 58.76
Similar health profile
56310
Minnesota99% similar profile
Score 57.57
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 | 24.8% | 22.1–27.6 |
| High blood pressure among adults | 29.9% | 26.7–33.3 |
| Cancer (non-skin) or melanoma among adults | 9.5% | 8.6–10.4 |
| Current asthma among adults | 10.1% | 9.0–11.3 |
| Coronary heart disease among adults | 6.0% | 5.3–6.7 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.7–6.2 |
| Depression among adults | 25.3% | 22.0–28.8 |
| Diagnosed diabetes among adults | 9.7% | 8.4–11.1 |
| High cholesterol among adults who have ever been screened | 34.9% | 31.3–38.6 |
| Obesity among adults | 34.3% | 28.7–40.4 |
| Stroke among adults | 3.0% | 2.7–3.3 |
| All teeth lost among adults aged >=65 years | 6.3% | 5.0–7.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.3% | 5.1–7.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.5% | 74.6–80.1 |
| Visits to doctor for routine checkup within the past year among adults | 75.8% | 72.3–79.1 |
| Cholesterol screening among adults | 86.4% | 84.5–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 73.0% | 68.6–76.6 |
| Visited dentist or dental clinic in the past year among adults | 71.3% | 68.1–74.1 |
| Mammography use among women aged 50-74 years | 80.6% | 74.1–85.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.9% | 15.0–21.0 |
| Current cigarette smoking among adults | 12.8% | 10.8–15.0 |
| No leisure-time physical activity among adults | 21.0% | 17.7–24.7 |
| Short sleep duration among adults | 28.1% | 23.0–33.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.5% | 12.5–16.6 |
| Frequent mental distress among adults | 14.8% | 13.1–16.7 |
| Frequent physical distress among adults | 11.0% | 9.6–12.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.0% | 10.4–13.7 |
| Any disability among adults | 26.5% | 22.8–30.3 |
| Hearing disability among adults | 7.1% | 6.3–7.9 |
| Independent living disability among adults | 6.4% | 5.6–7.3 |
| Mobility disability among adults | 10.9% | 9.4–12.6 |
| Self-care disability among adults | 2.8% | 2.5–3.2 |
| Vision disability among adults | 3.4% | 3.0–3.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.3% | 16.4–22.5 |
| Food insecurity in the past 12 months among adults | 8.6% | 7.0–10.5 |
| Received food stamps in the past 12 months among adults | 5.9% | 4.8–7.3 |
| Housing insecurity in the past 12 months among adults | 7.4% | 6.1–8.9 |
| Lack of reliable transportation in the past 12 months among adults | 5.6% | 4.8–6.5 |
| Loneliness among adults | 28.4% | 24.1–32.9 |
| Utility services shut-off threat in the past 12 months among adults | 4.6% | 3.9–5.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.2% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 13.2% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 4.9% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 18.8% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 3.9% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 1.4% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 85.7% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 18.6% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 90.5% | 78.7% (51.7–94.0%) n=32,322 | 83.9% (67.0–94.0%) n=871 |
| Crowded housing (>1 per room) | 0.2% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.9%) n=871 |
| Foreign-born population | 0.9% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 56.4% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 22.8% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 46.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $89,712 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $273,100 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | $1,071 | $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 | 84.2 yr ± 1.80 | 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 1.80 years of 84.2, 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