ZIP code
55802
in Duluth, MinnesotaPopulation 2,399
49.89/ 100
Ranked #16,402 of 32,066 US ZIPs (bottom 49%)
Ranked #704 of 866 Minnesota ZIPs (bottom 19%)
Ranked #53 of 65 Duluth, 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.
Recreation access
7.9 per 1,000 residents
in the top 0.06% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Transit access
47 per 1,000 residents
in the top 0.07% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of public-transit stops inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Pharmacy access
2.4 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of pharmacies located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Mental-health provider access
1.2 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of mental-health clinics located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Physician access
14 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of physicians’ offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Outpatient-care access
3.1 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of outpatient clinics located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Civic-institution access
5.1 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of civic and social organizations inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Elder-services access
1.6 per 1,000 residents
in the top 0.3% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of services for older adults and people with disabilities inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Dental provider access
3.1 per 1,000 residents
in the top 0.3% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of dental offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Grocery access
0.39 per 1,000 residents
in the top 2.4% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The number of full supermarkets inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›The read
By the composite measure, ZIP 55802, one of several in Duluth, Minnesota sits in the bottom 49% nationally (16,402nd) and the bottom 19% of Minnesota (704th), based on limited data; treat as directional.
The main burdens in the data show plainly and lead the picture: recreation lands in the top 0.06% nationally. More positively, transit resides in the top 0.07% nationally, pharmacy lies in the top 0.2% nationally, and mental-health providers settles in the top 0.2% nationally. Physicians stands in the top 0.2% nationally, and outpatient is in the top 0.2% nationally. Civic rests in the top 0.2% nationally, and elder services sits in the top 0.3% nationally. Dental providers registers in the top 0.3% nationally, and grocery lands in the top 2.4% nationally.
Compared with the ZIPs that surround it, recreation runs far higher than the surrounding ZIPs on this measure. ZIP 54874, just across the boundary, ranks 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. 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
Social Need / SDOH
in the top 0.5%
16%
Climate / Disaster RiskPartial
in the top 0.2%
5%
Healthcare Access
healthier than 87%
5%
About typical
Environmental Hazard
healthier than 49%
14%
Preventive Care
healthier than 48%
13%
Mental Health
healthier than 49%
8%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Risk Behavior
healthier than 30%
11%
Disability
healthier than 17%
7%
Lifting this score
Social Need / SDOH
in the top 0.8%
16%
Environmental Hazard
healthier than 81%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
Healthcare Access
healthier than 95%
5%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Preventive Care
healthier than 22%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 32%
8%
Disability
healthier than 1%
7%
Lifting this score
Social Need / SDOH
in the top 0.00%
16%
Climate / Disaster RiskPartial
in the top 0.00%
5%
Healthcare Access
healthier than 97%
5%
Holding it back
Chronic Disease Burden
healthier than 1%
21%
Environmental Hazard
healthier than 11%
14%
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 22%
11%
Mental Health
healthier than 38%
8%
Disability
in the bottom 0.00%
7%
“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
54874
Wisconsinshares a border
Score 56.30
Closest healthier
54880
Wisconsinshares a border
Score 53.31
Similar health profile
41011
Kentucky85% similar profile
Score 47.91
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 | 31.0% | 27.7–34.4 |
| High blood pressure among adults | 40.1% | 36.3–43.9 |
| Cancer (non-skin) or melanoma among adults | 10.9% | 9.8–12.0 |
| Current asthma among adults | 10.8% | 9.5–12.3 |
| Coronary heart disease among adults | 10.1% | 8.8–11.5 |
| Chronic obstructive pulmonary disease among adults | 9.9% | 8.3–11.6 |
| Depression among adults | 24.0% | 20.8–27.4 |
| Diagnosed diabetes among adults | 16.0% | 13.8–18.4 |
| High cholesterol among adults who have ever been screened | 36.3% | 32.5–40.1 |
| Obesity among adults | 39.0% | 33.9–44.2 |
| Stroke among adults | 5.2% | 4.6–5.9 |
| All teeth lost among adults aged >=65 years | 16.8% | 14.4–19.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.6% | 7.7–12.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.4% | 78.5–84.0 |
| Visits to doctor for routine checkup within the past year among adults | 77.4% | 74.0–80.4 |
| Cholesterol screening among adults | 84.5% | 82.5–86.4 |
| Colorectal cancer screening among adults aged 45–75 years | 67.2% | 63.0–71.0 |
| Visited dentist or dental clinic in the past year among adults | 57.0% | 54.1–59.9 |
| Mammography use among women aged 50-74 years | 77.0% | 71.5–81.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.7% | 13.1–18.5 |
| Current cigarette smoking among adults | 19.7% | 16.3–23.2 |
| No leisure-time physical activity among adults | 30.0% | 25.6–34.9 |
| Short sleep duration among adults | 34.4% | 30.7–38.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.7% | 21.3–28.5 |
| Frequent mental distress among adults | 16.2% | 14.2–18.4 |
| Frequent physical distress among adults | 16.2% | 13.9–18.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.6% | 13.4–17.9 |
| Any disability among adults | 37.6% | 33.2–42.1 |
| Hearing disability among adults | 10.8% | 9.5–12.3 |
| Independent living disability among adults | 10.8% | 9.2–12.4 |
| Mobility disability among adults | 19.5% | 16.8–22.6 |
| Self-care disability among adults | 5.9% | 5.1–6.8 |
| Vision disability among adults | 7.4% | 6.4–8.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.6% | 18.7–24.7 |
| Food insecurity in the past 12 months among adults | 18.9% | 15.9–22.0 |
| Received food stamps in the past 12 months among adults | 18.3% | 15.3–21.3 |
| Housing insecurity in the past 12 months among adults | 12.2% | 10.4–14.2 |
| Lack of reliable transportation in the past 12 months among adults | 11.5% | 10.0–13.1 |
| Loneliness among adults | 31.8% | 28.2–35.5 |
| Utility services shut-off threat in the past 12 months among adults | 9.5% | 8.2–10.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 28.7% | 10.6% (3.1–25.8%) n=32,364 | 8.4% (3.6–16.8%) n=872 |
| Uninsured 18–64 | 5.7% | 9.0% (1.5–24.3%) n=32,286 | 6.2% (2.3–12.7%) n=872 |
| No HS diploma (25+) | 7.7% | 7.9% (1.8–20.7%) n=32,505 | 5.5% (2.2–11.2%) n=873 |
| Bachelor's or higher (25+) | 45.2% | 23.3% (9.2–53.6%) n=32,505 | 23.4% (13.6–48.8%) n=873 |
| Unemployment rate (16+) | 7.1% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.8–7.1%) n=872 |
| Households without a vehicle | 27.1% | 3.9% (0.0–12.5%) n=32,322 | 3.4% (0.4–9.1%) n=871 |
| Broadband subscription | 85.9% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (81.6–95.3%) n=871 |
| Housing cost burden (≥30% income) | 42.4% | 23.7% (10.6–40.0%) n=32,322 | 22.1% (14.0–31.1%) n=871 |
| Homeownership rate | 33.2% | 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 | 5.5% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.1–11.9%) n=873 |
| Single-parent households | 86.1% | 53.6% (37.3–74.1%) n=32,087 | 56.9% (44.1–70.7%) n=870 |
| Population 65+ | 34.1% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–30.7%) n=873 |
| Median age | 53.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.3 yr (35.2–54.3) n=873 |
| Median household income | $51,544 | $72,070 ($46,039–$118,707) n=30,318 | $77,917 ($58,441–$110,840) n=864 |
| Median home value | $494,400 | $222,200 ($100,300–$579,820) n=30,049 | $234,000 ($132,740–$396,860) n=857 |
| Median gross rent | $646 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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