ZIP code
58429
in Dazey, North DakotaPopulation 319
59.47/ 100
Ranked #5,226 of 32,066 US ZIPs (top 16%)
Ranked #44 of 371 North Dakota ZIPs (top 11.9%)
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.
Loneliness
24.6%
in the bottom 0.3% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Distance to a Superfund site
120.5 mi
in the top 2.7% nationally
Higher is healthier
ST23rdUS97thDefinition & 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 ›Radon
3.4 pCi/L
in the top 5.4% nationally
Lower is healthier
ST73rdUS95thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
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 ›Binge drinking
20.9%
in the top 3.5% nationally
Lower is healthier
ST76thUS97thDefinition & 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 ›Lithium in drinking water
87 µg/L
in the top 3.9% nationally
Lower is healthier
ST69thUS96thDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Fiber broadband
99.2%
in the top 4.3% nationally
Higher is healthier
ST78thUS96thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Housing insecurity
6.6%
in the bottom 4.9% nationally
Lower is healthier
ST10thUS5thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Lack of transportation
4.7%
in the bottom 5.1% nationally
Lower is healthier
ST9thUS5thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Utility shut-off threat
4.3%
in the bottom 5.7% nationally
Lower is healthier
ST10thUS6thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›The read
Dazey, North Dakota (ZIP 58429), in overall standing, comes out in the top 16% healthiest ZIPs nationally (5,226th) and the top 11.9% of North Dakota (44th).
A balanced showing across the data, with a few readings each side: modeled loneliness settles in the bottom 0.3% nationally, distance to a Superfund site lands in the top 2.7% nationally, and floodplain exposure rests at the national minimum. Fiber broadband settles in the top 4.3% nationally, modeled housing insecurity lands in the bottom 4.9% nationally, and modeled transportation rests in the bottom 5.1% nationally. Modeled utility shutoff settles in the bottom 5.7% nationally. On the other hand, modeled radon lands in the top 5.4% nationally, and binge drinking rests in the top 3.5% nationally. Lithium in drinking water settles in the top 3.9% nationally.
Defined simply, for reference, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. The closest healthier ZIP overall is ZIP 58426, about 6.0 miles away.
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 61%
21%
Social Need / SDOH
healthier than 81%
16%
Preventive Care
healthier than 76%
13%
Risk Behavior
healthier than 63%
11%
Mental Health
healthier than 96%
8%
Disability
healthier than 80%
7%
Climate / Disaster Risk
healthier than 91%
5%
Holding it back
Environmental Hazard
healthier than 32%
14%
Healthcare Access
healthier than 8%
5%
Lifting this score
Chronic Disease Burden
healthier than 63%
21%
Social Need / SDOH
healthier than 79%
16%
Preventive Care
healthier than 71%
13%
Risk Behavior
healthier than 65%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 76%
7%
Climate / Disaster Risk
healthier than 85%
5%
About typical
Environmental Hazard
healthier than 51%
14%
Healthcare Access
healthier than 54%
5%
Nothing measured is holding this score back.
“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
58056
North Dakotashares a border
Score 55.66
Closest healthier
58426
North Dakotaabout 6.0 mi away
Score 61.73
Similar health profile
58033
North Dakota99% similar profile
Score 58.05
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% | 26.5–33.3 |
| High blood pressure among adults | 37.4% | 33.2–41.4 |
| Cancer (non-skin) or melanoma among adults | 10.4% | 9.3–11.6 |
| Current asthma among adults | 9.3% | 8.2–10.5 |
| Coronary heart disease among adults | 7.5% | 6.5–8.5 |
| Chronic obstructive pulmonary disease among adults | 6.4% | 5.3–7.5 |
| Depression among adults | 18.4% | 15.7–21.4 |
| Diagnosed diabetes among adults | 11.3% | 9.7–13.1 |
| High cholesterol among adults who have ever been screened | 37.2% | 33.1–41.6 |
| Obesity among adults | 37.7% | 31.4–44.5 |
| Stroke among adults | 3.5% | 3.0–3.9 |
| All teeth lost among adults aged >=65 years | 9.3% | 7.4–11.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.9% | 4.6–7.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.6% | 77.5–83.4 |
| Visits to doctor for routine checkup within the past year among adults | 76.0% | 72.3–79.4 |
| Cholesterol screening among adults | 87.8% | 85.9–89.5 |
| Colorectal cancer screening among adults aged 45–75 years | 69.6% | 64.5–74.3 |
| Visited dentist or dental clinic in the past year among adults | 69.0% | 65.5–72.4 |
| Mammography use among women aged 50-74 years | 77.7% | 70.1–83.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.9% | 17.7–24.6 |
| Current cigarette smoking among adults | 12.8% | 10.4–15.6 |
| No leisure-time physical activity among adults | 21.2% | 17.5–25.6 |
| Short sleep duration among adults | 30.3% | 24.7–36.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.4% | 12.9–18.3 |
| Frequent mental distress among adults | 11.9% | 10.3–13.6 |
| Frequent physical distress among adults | 11.7% | 10.1–13.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.3% | 8.8–12.0 |
| Any disability among adults | 26.4% | 22.5–30.7 |
| Hearing disability among adults | 9.1% | 8.0–10.3 |
| Independent living disability among adults | 6.0% | 5.1–7.0 |
| Mobility disability among adults | 11.8% | 9.8–13.9 |
| Self-care disability among adults | 3.1% | 2.7–3.6 |
| Vision disability among adults | 3.7% | 3.2–4.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.4% | 16.4–22.7 |
| Food insecurity in the past 12 months among adults | 7.6% | 6.1–9.3 |
| Received food stamps in the past 12 months among adults | 4.4% | 3.5–5.6 |
| Housing insecurity in the past 12 months among adults | 6.6% | 5.4–7.9 |
| Lack of reliable transportation in the past 12 months among adults | 4.7% | 4.0–5.5 |
| Loneliness among adults | 24.6% | 20.9–28.6 |
| Utility services shut-off threat in the past 12 months among adults | 4.3% | 3.6–5.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | ND median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.1% | 10.6% (3.1–25.8%) n=32,364 | 8.0% (1.0–21.4%) n=380 |
| Uninsured 18–64 | 2.0% | 9.0% (1.5–24.3%) n=32,286 | 6.5% (0.0–19.2%) n=380 |
| No HS diploma (25+) | 4.0% | 7.9% (1.8–20.7%) n=32,505 | 6.3% (0.6–13.4%) n=382 |
| Bachelor's or higher (25+) | 16.1% | 23.3% (9.2–53.6%) n=32,505 | 24.6% (12.5–41.0%) n=382 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 1.1% (0.0–6.5%) n=382 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 1.5% (0.0–7.4%) n=379 |
| Broadband subscription | 78.1% | 89.3% (75.1–97.1%) n=32,322 | 88.7% (75.3–98.1%) n=379 |
| Housing cost burden (≥30% income) | 8.4% | 23.7% (10.6–40.0%) n=32,322 | 15.2% (4.0–28.2%) n=379 |
| Homeownership rate | 92.3% | 78.7% (51.7–94.0%) n=32,322 | 83.5% (59.2–98.7%) n=379 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.6%) n=379 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–5.7%) n=383 |
| Single-parent households | 50.0% | 53.6% (37.3–74.1%) n=32,087 | 59.3% (40.0–83.3%) n=377 |
| Population 65+ | 22.6% | 19.4% (10.8–33.6%) n=32,553 | 21.6% (9.1–38.9%) n=383 |
| Median age | 46.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.9 yr (31.1–60.2) n=381 |
| Median household income | $70,972 | $72,070 ($46,039–$118,707) n=30,318 | $79,666 ($56,729–$115,391) n=354 |
| Median home value | $177,100 | $222,200 ($100,300–$579,820) n=30,049 | $159,750 ($88,870–$297,180) n=328 |
| Median gross rent | — | $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 | 82.6 yr ± 2.30 | 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 2.30 years of 82.6, 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