ZIP code
58329
in Dunseith, North DakotaPopulation 2,769
33.36/ 100
Ranked #29,940 of 32,066 US ZIPs (bottom 6.7%)
Ranked #363 of 371 North Dakota ZIPs (bottom 2.2%)
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 Superfund site
254.1 mi
in the top 0.6% nationally
Higher is healthier
ST85thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Obesity
50.7%
in the top 0.6% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Air-toxics cancer risk
10 per million
in the bottom 2.8% nationally
Lower is healthier
ST1stUS3rdDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Vision disability
9.6%
in the top 5.8% nationally
Lower is healthier
ST98thUS94thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Lack of transportation
17.5%
in the top 3.7% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Colon-cancer screening
55%
in the bottom 4.9% nationally
Higher is healthier
ST3rdUS5thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Mammography
66.5%
in the bottom 4.7% nationally
Higher is healthier
ST1stUS5thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Households without a vehicle
20.6%
in the top 4.3% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Slow internet speeds
2.2%
in the top 5.4% nationally
Lower is healthier
ST72ndUS95thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Food insecurity
31%
in the top 5.4% nationally
Lower is healthier
ST98thUS95thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›The read
Overall, Dunseith, North Dakota (ZIP 58329) places in the bottom 6.7% nationally (29,940th) and the bottom 2.2% of North Dakota (363rd).
The data opens on real and measurable burdens: modeled obesity is in the top 0.6% nationally, and vision disability lands in the top 5.8% nationally. Modeled transportation stands in the top 3.7% nationally, and colon screening registers in the bottom 4.9% nationally. Modeled mammography settles in the bottom 4.7% nationally, households without a vehicle sits in the top 4.3% nationally, and slow internet speeds lies in the top 5.4% nationally. Modeled food insecurity rests in the top 5.4% nationally. More encouragingly, distance to a Superfund site resides in the top 0.6% nationally, and modeled air-toxics cancer risk is in the bottom 2.8% nationally.
For readers new to these terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Among nearby ZIPs, the nearest healthier one overall is ZIP 58318, 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
Environmental Hazard
healthier than 86%
14%
Climate / Disaster Risk
healthier than 97%
5%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Social Need / SDOH
healthier than 3%
16%
Preventive Care
healthier than 6%
13%
Risk Behavior
in the bottom 1.0%
11%
Mental Health
healthier than 33%
8%
Disability
healthier than 7%
7%
Healthcare Access
healthier than 30%
5%
Lifting this score
Environmental Hazard
healthier than 97%
14%
Climate / Disaster Risk
in the top 1.0%
5%
Healthcare Access
healthier than 83%
5%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Social Need / SDOH
healthier than 3%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 4%
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 ›
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.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 85.9; chronic-disease standing 14.0 — 72 points apart, cleaner on the environment than it is on chronic illness.
Ranked #956 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
58316
North Dakotashares a border
Score 29.38
Closest healthier
58318
North Dakotashares a border
Score 56.76
Similar health profile
16666
Pennsylvania99% similar profile
Score 36.83
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 | 29.8% | 26.5–32.8 |
| High blood pressure among adults | 39.9% | 35.8–43.7 |
| Cancer (non-skin) or melanoma among adults | 6.7% | 6.0–7.3 |
| Current asthma among adults | 14.0% | 12.4–15.6 |
| Coronary heart disease among adults | 8.3% | 7.5–9.2 |
| Chronic obstructive pulmonary disease among adults | 9.4% | 8.4–10.6 |
| Depression among adults | 22.1% | 18.7–25.4 |
| Diagnosed diabetes among adults | 17.9% | 15.8–20.1 |
| High cholesterol among adults who have ever been screened | 35.2% | 31.2–38.9 |
| Obesity among adults | 50.7% | 43.0–57.4 |
| Stroke among adults | 4.9% | 4.5–5.4 |
| All teeth lost among adults aged >=65 years | 24.0% | 20.0–28.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.7% | 8.6–13.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.0% | 72.9–78.6 |
| Visits to doctor for routine checkup within the past year among adults | 74.3% | 70.1–77.9 |
| Cholesterol screening among adults | 79.1% | 76.3–81.5 |
| Colorectal cancer screening among adults aged 45–75 years | 55.0% | 49.5–60.2 |
| Visited dentist or dental clinic in the past year among adults | 46.9% | 42.9–50.9 |
| Mammography use among women aged 50-74 years | 66.5% | 57.1–74.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.2% | 15.0–21.4 |
| Current cigarette smoking among adults | 26.4% | 23.0–29.9 |
| No leisure-time physical activity among adults | 34.6% | 29.7–39.5 |
| Short sleep duration among adults | 41.1% | 34.3–47.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.8% | 26.5–33.4 |
| Frequent mental distress among adults | 19.5% | 17.3–21.8 |
| Frequent physical distress among adults | 18.3% | 16.2–20.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.2% | 17.0–21.7 |
| Any disability among adults | 41.6% | 37.0–46.2 |
| Hearing disability among adults | 11.3% | 10.2–12.6 |
| Independent living disability among adults | 12.9% | 11.4–14.5 |
| Mobility disability among adults | 20.0% | 17.6–22.5 |
| Self-care disability among adults | 6.1% | 5.4–6.7 |
| Vision disability among adults | 9.6% | 8.7–10.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.7% | 24.8–33.0 |
| Food insecurity in the past 12 months among adults | 31.0% | 27.0–35.8 |
| Received food stamps in the past 12 months among adults | 21.7% | 18.2–25.7 |
| Housing insecurity in the past 12 months among adults | 22.3% | 19.3–25.8 |
| Lack of reliable transportation in the past 12 months among adults | 17.5% | 15.4–20.1 |
| Loneliness among adults | 33.2% | 28.5–38.3 |
| Utility services shut-off threat in the past 12 months among adults | 15.9% | 13.9–18.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | ND median (p10–p90) |
|---|---|---|---|
| Poverty rate | 31.4% | 10.6% (3.1–25.8%) n=32,364 | 8.0% (1.0–21.4%) n=380 |
| Uninsured 18–64 | 33.0% | 9.0% (1.5–24.3%) n=32,286 | 6.5% (0.0–19.2%) n=380 |
| No HS diploma (25+) | 16.0% | 7.9% (1.8–20.7%) n=32,505 | 6.3% (0.6–13.4%) n=382 |
| Bachelor's or higher (25+) | 13.6% | 23.3% (9.2–53.6%) n=32,505 | 24.6% (12.5–41.0%) n=382 |
| Unemployment rate (16+) | 5.9% | 3.9% (0.0–9.8%) n=32,274 | 1.1% (0.0–6.5%) n=382 |
| Households without a vehicle | 20.6% | 3.9% (0.0–12.5%) n=32,322 | 1.5% (0.0–7.4%) n=379 |
| Broadband subscription | 87.7% | 89.3% (75.1–97.1%) n=32,322 | 88.7% (75.3–98.1%) n=379 |
| Housing cost burden (≥30% income) | 23.8% | 23.7% (10.6–40.0%) n=32,322 | 15.2% (4.0–28.2%) n=379 |
| Homeownership rate | 58.2% | 78.7% (51.7–94.0%) n=32,322 | 83.5% (59.2–98.7%) n=379 |
| Crowded housing (>1 per room) | 4.5% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.6%) n=379 |
| Foreign-born population | 0.7% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–5.7%) n=383 |
| Single-parent households | 33.6% | 53.6% (37.3–74.1%) n=32,087 | 59.3% (40.0–83.3%) n=377 |
| Population 65+ | 13.8% | 19.4% (10.8–33.6%) n=32,553 | 21.6% (9.1–38.9%) n=383 |
| Median age | 32.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.9 yr (31.1–60.2) n=381 |
| Median household income | $51,065 | $72,070 ($46,039–$118,707) n=30,318 | $79,666 ($56,729–$115,391) n=354 |
| Median home value | $88,800 | $222,200 ($100,300–$579,820) n=30,049 | $159,750 ($88,870–$297,180) n=328 |
| Median gross rent | $409 | $1,021 ($677–$1,912) n=25,670 | $767 ($513–$1,222) n=212 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | ND median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 76.8 yr ± 1.68 | 78.9 yr (74.7–82.8) n=31,308 | 80.0 yr (77.6–84.0) n=379 |
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 1.68 years of 76.8, 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