ZIP code
58418
in Bowdon, North DakotaPopulation 259
53.44/ 100
Ranked #11,459 of 32,066 US ZIPs (top 36%)
Ranked #228 of 371 North Dakota ZIPs (bottom 39%)
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
190.7 mi
in the top 1.1% nationally
Higher is healthier
ST58thUS99thDefinition & 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 ›Slow internet speeds
5.1%
in the top 2.4% nationally
Lower is healthier
ST92ndUS98thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Industrial-pollution burden
in the bottom 3.0% nationally
Lower is healthier
ST9thUS3rdDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Distance to a community health center
33.9 mi
in the top 3.2% nationally
Lower is healthier
ST78thUS97thDefinition & 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 ›Lithium in drinking water
89 µg/L
in the top 3.3% nationally
Lower is healthier
ST78thUS97thDefinition & 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 ›Radon
3.3 pCi/L
in the top 6.4% nationally
Lower is healthier
ST62ndUS94thDefinition & 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 ›Loneliness
27.5%
in the bottom 5.0% nationally
Lower is healthier
ST46thUS5thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Fine-particle (PM2.5) exceedance
1.4%
in the top 6.6% nationally
Lower is healthier
ST41stUS93rdDefinition & 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 ›Hearing disability
11.4%
in the top 7.0% nationally
Lower is healthier
ST85thUS93rdDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Short sleep
29.6%
in the bottom 7.9% nationally
Lower is healthier
ST11thUS8thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›The read
In overall standing, Bowdon, North Dakota (ZIP 58418) comes out in the top 36% healthiest ZIPs nationally (11,459th) and the bottom 39% of North Dakota (228th), based on limited data; treat as directional.
Both sides of the picture show up plainly in this area's numbers: distance to a Superfund site lies in the top 1.1% nationally, modeled industrial-pollution burden sits in the bottom 3.0% nationally, and modeled loneliness settles in the bottom 5.0% nationally. Modeled short sleep registers in the bottom 7.9% nationally. By contrast, slow internet speeds stands in the top 2.4% nationally, and distance to a community health center lands in the top 3.2% nationally. Lithium in drinking water is in the top 3.3% nationally, and modeled radon resides in the top 6.4% nationally. Modeled fine-particle rests in the top 6.6% nationally, and hearing disability lies in the top 7.0% nationally.
In plain terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. The nearest healthier ZIP overall is ZIP 58423, 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
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 70%
11%
Mental Health
healthier than 94%
8%
Climate / Disaster RiskPartial
healthier than 85%
5%
About typical
Social Need / SDOH
healthier than 57%
16%
Environmental Hazard
healthier than 52%
14%
Disability
healthier than 44%
7%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Healthcare Access
healthier than 2%
5%
Lifting this score
Environmental Hazard
healthier than 85%
14%
Preventive Care
healthier than 87%
13%
Risk Behavior
healthier than 81%
11%
Mental Health
healthier than 86%
8%
About typical
Climate / Disaster RiskPartial
healthier than 57%
5%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 39%
16%
Disability
healthier than 24%
7%
Healthcare Access
healthier than 18%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
58341
North Dakotashares a border
Score 50.30
Closest healthier
58423
North Dakotashares a border
Score 53.69
Similar health profile
58229
North Dakota99% similar profile
Score 54.38
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 | 35.2% | 31.4–39.0 |
| High blood pressure among adults | 41.1% | 36.7–45.6 |
| Cancer (non-skin) or melanoma among adults | 12.1% | 11.0–13.3 |
| Current asthma among adults | 10.0% | 8.7–11.2 |
| Coronary heart disease among adults | 9.5% | 8.4–10.6 |
| Chronic obstructive pulmonary disease among adults | 8.6% | 7.3–10.0 |
| Depression among adults | 18.8% | 15.8–21.9 |
| Diagnosed diabetes among adults | 13.8% | 11.8–15.9 |
| High cholesterol among adults who have ever been screened | 40.6% | 36.2–45.1 |
| Obesity among adults | 38.0% | 30.7–45.7 |
| Stroke among adults | 4.5% | 4.0–5.1 |
| All teeth lost among adults aged >=65 years | 11.7% | 9.4–14.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.0% | 5.6–8.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.6% | 81.0–86.0 |
| Visits to doctor for routine checkup within the past year among adults | 79.1% | 75.9–82.3 |
| Cholesterol screening among adults | 88.1% | 86.4–89.7 |
| Colorectal cancer screening among adults aged 45–75 years | 70.2% | 65.2–74.7 |
| Visited dentist or dental clinic in the past year among adults | 66.6% | 63.0–69.9 |
| Mammography use among women aged 50-74 years | 77.5% | 69.7–83.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.0% | 14.2–20.0 |
| Current cigarette smoking among adults | 14.3% | 11.6–17.0 |
| No leisure-time physical activity among adults | 26.0% | 21.3–30.6 |
| Short sleep duration among adults | 29.6% | 23.9–35.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.4% | 16.5–22.5 |
| Frequent mental distress among adults | 12.6% | 10.9–14.3 |
| Frequent physical distress among adults | 14.0% | 12.1–16.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.7% | 10.0–13.4 |
| Any disability among adults | 32.4% | 27.8–36.7 |
| Hearing disability among adults | 11.4% | 10.1–12.8 |
| Independent living disability among adults | 7.9% | 6.8–9.1 |
| Mobility disability among adults | 16.3% | 13.8–18.9 |
| Self-care disability among adults | 4.2% | 3.6–4.8 |
| Vision disability among adults | 5.0% | 4.4–5.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.7% | 16.5–23.3 |
| Food insecurity in the past 12 months among adults | 9.9% | 7.9–12.0 |
| Received food stamps in the past 12 months among adults | 6.6% | 5.2–8.3 |
| Housing insecurity in the past 12 months among adults | 7.7% | 6.3–9.2 |
| Lack of reliable transportation in the past 12 months among adults | 5.6% | 4.7–6.6 |
| Loneliness among adults | 27.5% | 23.0–32.4 |
| Utility services shut-off threat in the past 12 months among adults | 5.2% | 4.3–6.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | ND median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.9% | 10.6% (3.1–25.8%) n=32,364 | 8.0% (1.0–21.4%) n=380 |
| Uninsured 18–64 | 11.9% | 9.0% (1.5–24.3%) n=32,286 | 6.5% (0.0–19.2%) n=380 |
| No HS diploma (25+) | 8.2% | 7.9% (1.8–20.7%) n=32,505 | 6.3% (0.6–13.4%) n=382 |
| Bachelor's or higher (25+) | 28.3% | 23.3% (9.2–53.6%) n=32,505 | 24.6% (12.5–41.0%) n=382 |
| Unemployment rate (16+) | 2.0% | 3.9% (0.0–9.8%) n=32,274 | 1.1% (0.0–6.5%) n=382 |
| Households without a vehicle | 3.4% | 3.9% (0.0–12.5%) n=32,322 | 1.5% (0.0–7.4%) n=379 |
| Broadband subscription | 75.3% | 89.3% (75.1–97.1%) n=32,322 | 88.7% (75.3–98.1%) n=379 |
| Housing cost burden (≥30% income) | 10.3% | 23.7% (10.6–40.0%) n=32,322 | 15.2% (4.0–28.2%) n=379 |
| Homeownership rate | 88.4% | 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 | 75.6% | 53.6% (37.3–74.1%) n=32,087 | 59.3% (40.0–83.3%) n=377 |
| Population 65+ | 44.4% | 19.4% (10.8–33.6%) n=32,553 | 21.6% (9.1–38.9%) n=383 |
| Median age | 61.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.9 yr (31.1–60.2) n=381 |
| Median household income | $55,357 | $72,070 ($46,039–$118,707) n=30,318 | $79,666 ($56,729–$115,391) n=354 |
| Median home value | $122,500 | $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 | 83.9 yr ± 2.08 | 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 2.08 years of 83.9, 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