ZIP code
55733
in Esko, MinnesotaPopulation 5,139
62.59/ 100
Ranked #3,183 of 32,066 US ZIPs (top 10.0%)
Ranked #81 of 866 Minnesota ZIPs (top 9.4%)
Ranked #2 of 65 Duluth, MN-WI ZIPs (top 3.1%)
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.
Food insecurity
6.7%
in the bottom 2.9% nationally
Lower is healthier
ST2ndUS3rdDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Binge drinking
21%
in the top 3.3% nationally
Lower is healthier
ST97thUS97thDefinition & 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 ›Housing insecurity
6.4%
in the bottom 4.0% nationally
Lower is healthier
ST4thUS4thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Utility shut-off threat
4.1%
in the bottom 4.4% nationally
Lower is healthier
ST5thUS4thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Humid extreme heat
9.8 days/year
in the bottom 6.9% nationally
Lower is healthier
ST10thUS7thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Lack of transportation
5.0%
in the bottom 7.6% nationally
Lower is healthier
ST3rdUS8thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Fair or poor health
12.6%
in the bottom 4.8% nationally
Lower is healthier
ST5thUS5thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Homeownership rate
95%
in the top 8.7% nationally
Higher is healthier
ST92ndUS91stDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Independent-living disability
5.5%
in the bottom 5.4% nationally
Lower is healthier
ST5thUS5thDefinition & 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 ›Expected annual disaster loss
$0
in the top 9.6% nationally
Lower is healthier
ST90thUS90thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›The read
In its overall standing, Esko, Minnesota (ZIP 55733) lands in the top 10.0% healthiest ZIPs nationally (3,183rd) and the top 9.4% of Minnesota (81st).
This area's most favorable readings come through plainly in the numbers: modeled food insecurity stands in the bottom 2.9% nationally, housing insecurity rests in the bottom 4.0% nationally, and utility shutoff registers in the bottom 4.4% nationally. Modeled humid heat resides in the bottom 6.9% nationally, transportation settles in the bottom 7.6% nationally, and fair or poor health is in the bottom 4.8% nationally. Households without a vehicle sits at the national minimum, shared with about 16% of ZIPs. Homeownership lands in the top 8.7% nationally, and modeled independent living disability lies in the bottom 5.4% nationally. On the other side, modeled binge drinking stands in the top 3.3% nationally.
Against the wider neighborhood, park land runs far higher than the surrounding ZIPs on this measure. Put simply, humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. On the overall standing, ZIP 55804, about 13 miles away, ranks healthier. In the round, the 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 Duluth, 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 87%
21%
Social Need / SDOH
healthier than 83%
16%
Preventive Care
healthier than 81%
13%
Risk Behavior
healthier than 66%
11%
Disability
healthier than 93%
7%
Climate / Disaster Risk
healthier than 90%
5%
Healthcare Access
healthier than 73%
5%
About typical
Environmental Hazard
healthier than 44%
14%
Mental Health
healthier than 57%
8%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 79%
21%
Social Need / SDOH
healthier than 77%
16%
Environmental Hazard
healthier than 75%
14%
Preventive Care
healthier than 83%
13%
Disability
healthier than 91%
7%
Climate / Disaster Risk
healthier than 82%
5%
Healthcare Access
healthier than 90%
5%
About typical
Risk Behavior
healthier than 54%
11%
Mental Health
healthier than 52%
8%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Social Need / SDOH
healthier than 98%
16%
Preventive Care
healthier than 63%
13%
Risk Behavior
healthier than 91%
11%
Disability
in the top 0.00%
7%
Healthcare Access
healthier than 88%
5%
About typical
Mental Health
healthier than 52%
8%
Climate / Disaster Risk
healthier than 54%
5%
Holding it back
Environmental Hazard
healthier than 5%
14%
“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
55718
Minnesotashares a border
Score 55.49
Closest healthier
55804
Minnesotaabout 13 mi away
Score 64.82
Similar health profile
14445
New York98% similar profile
Score 59.65
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 | 22.0% | 19.3–24.6 |
| High blood pressure among adults | 29.3% | 26.0–32.7 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.3–10.1 |
| Current asthma among adults | 10.1% | 8.9–11.3 |
| Coronary heart disease among adults | 5.2% | 4.6–5.9 |
| Chronic obstructive pulmonary disease among adults | 4.4% | 3.7–5.1 |
| Depression among adults | 25.9% | 22.4–29.4 |
| Diagnosed diabetes among adults | 9.2% | 7.8–10.5 |
| High cholesterol among adults who have ever been screened | 32.6% | 29.2–36.2 |
| Obesity among adults | 35.5% | 30.1–41.2 |
| Stroke among adults | 2.6% | 2.3–2.9 |
| All teeth lost among adults aged >=65 years | 7.4% | 5.9–9.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.0% | 4.0–6.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.8% | 72.5–78.6 |
| Visits to doctor for routine checkup within the past year among adults | 74.1% | 70.6–77.4 |
| Cholesterol screening among adults | 87.4% | 85.8–89.0 |
| Colorectal cancer screening among adults aged 45–75 years | 72.5% | 68.5–76.2 |
| Visited dentist or dental clinic in the past year among adults | 74.3% | 71.6–77.0 |
| Mammography use among women aged 50-74 years | 80.9% | 75.0–85.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.0% | 17.8–24.4 |
| Current cigarette smoking among adults | 11.6% | 9.2–13.8 |
| No leisure-time physical activity among adults | 19.2% | 15.8–22.6 |
| Short sleep duration among adults | 31.7% | 27.0–36.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.6% | 10.6–14.6 |
| Frequent mental distress among adults | 14.0% | 12.2–15.9 |
| Frequent physical distress among adults | 10.3% | 8.8–11.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.8% | 9.3–12.4 |
| Any disability among adults | 24.2% | 20.7–27.5 |
| Hearing disability among adults | 6.1% | 5.4–6.8 |
| Independent living disability among adults | 5.5% | 4.8–6.3 |
| Mobility disability among adults | 9.7% | 8.2–11.2 |
| Self-care disability among adults | 2.4% | 2.1–2.8 |
| Vision disability among adults | 2.9% | 2.5–3.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.1% | 15.6–21.2 |
| Food insecurity in the past 12 months among adults | 6.7% | 5.4–8.2 |
| Received food stamps in the past 12 months among adults | 4.4% | 3.5–5.5 |
| Housing insecurity in the past 12 months among adults | 6.4% | 5.2–7.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.0% | 4.3–5.8 |
| Loneliness among adults | 30.0% | 26.2–34.4 |
| Utility services shut-off threat in the past 12 months among adults | 4.1% | 3.4–4.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.0% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 2.4% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 0.4% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 46.0% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 2.3% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 93.2% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 13.6% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 95.0% | 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 | 0.6% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 47.8% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 16.4% | 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 | $118,260 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $353,400 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | $1,215 | $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 | 79.9 yr ± 1.18 | 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 1.18 years of 79.9, 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