ZIP code
58831
in Alexander, North DakotaPopulation 1,089
54.98/ 100
Ranked #9,460 of 32,066 US ZIPs (top 30%)
Ranked #159 of 371 North Dakota ZIPs (top 43%)
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.
Fatal road crashes
137.7 per 100,000 residents per year
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Binge drinking
22.9%
in the top 1.2% nationally
Lower is healthier
ST93rdUS99thDefinition & 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 ›Distance to a Superfund site
223.2 mi
in the top 0.8% nationally
Higher is healthier
ST74thUS99thDefinition & 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 ›Crowded housing
13.8%
in the top 2.6% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Slow internet speeds
4.4%
in the top 2.8% nationally
Lower is healthier
ST89thUS97thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Fine-particle (PM2.5) exceedance
1.4%
in the top 6.3% nationally
Lower is healthier
ST44thUS94thDefinition & 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 ›Housing-cost burden
8.1%
in the bottom 7.4% nationally
Lower is healthier
ST21stUS7thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Floodplain exposure
0.13%
in the bottom 7.8% nationally
Lower is healthier
ST30thUS8thDefinition & 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 ›Humid extreme heat
10.8 days/year
in the bottom 7.8% nationally
Lower is healthier
ST23rdUS8thDefinition & 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 ›The read
Overall, Alexander, North Dakota (ZIP 58831) places in the top 30% healthiest ZIPs nationally (9,460th) and the top 43% of North Dakota (159th).
The measures fall on both sides for this area, fairly evenly: distance to a Superfund site lies in the top 0.8% nationally, and home broadband subscription rests at the national maximum. Housing-cost burden resides in the bottom 7.4% nationally, and floodplain exposure is in the bottom 7.8% nationally. Modeled humid heat lands in the bottom 7.8% nationally. Pulling the other way, fatal road crashes stands in the top 0.2% nationally, modeled binge drinking registers in the top 1.2% nationally, and crowded housing settles in the top 2.6% nationally. Slow internet speeds sits in the top 2.8% nationally, and modeled fine-particle lies in the top 6.3% nationally.
Beside the areas that surround it, fatal road crashes runs far higher than the surrounding ZIPs on this measure. 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. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Among nearby ZIPs, the nearest healthier one overall is ZIP 58838, 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
Chronic Disease Burden
healthier than 77%
21%
Social Need / SDOH
healthier than 64%
16%
Mental Health
healthier than 80%
8%
Disability
healthier than 81%
7%
Climate / Disaster Risk
healthier than 90%
5%
About typical
Environmental Hazard
healthier than 58%
14%
Holding it back
Preventive Care
healthier than 22%
13%
Risk Behavior
healthier than 14%
11%
Healthcare Access
healthier than 21%
5%
Lifting this score
Chronic Disease Burden
healthier than 83%
21%
Environmental Hazard
healthier than 90%
14%
Disability
healthier than 77%
7%
Climate / Disaster Risk
healthier than 82%
5%
Healthcare Access
healthier than 77%
5%
About typical
Social Need / SDOH
healthier than 49%
16%
Holding it back
Preventive Care
healthier than 10%
13%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 19%
8%
“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
58801
North Dakotashares a border
Score 54.87
Closest healthier
58838
North Dakotashares a border
Score 56.04
Similar health profile
58769
North Dakota96% similar profile
Score 54.21
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 | 25.2% | 22.2–28.4 |
| High blood pressure among adults | 31.5% | 27.7–35.5 |
| Cancer (non-skin) or melanoma among adults | 7.6% | 6.8–8.5 |
| Current asthma among adults | 10.2% | 9.0–11.5 |
| Coronary heart disease among adults | 5.6% | 4.9–6.3 |
| Chronic obstructive pulmonary disease among adults | 5.7% | 4.9–6.6 |
| Depression among adults | 20.8% | 17.6–24.2 |
| Diagnosed diabetes among adults | 9.5% | 8.1–11.0 |
| High cholesterol among adults who have ever been screened | 33.1% | 29.2–37.2 |
| Obesity among adults | 40.2% | 33.0–47.6 |
| Stroke among adults | 2.8% | 2.5–3.2 |
| All teeth lost among adults aged >=65 years | 15.4% | 12.5–18.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.7% | 6.2–9.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.0% | 70.5–77.1 |
| Visits to doctor for routine checkup within the past year among adults | 71.9% | 67.6–75.9 |
| Cholesterol screening among adults | 83.2% | 80.7–85.5 |
| Colorectal cancer screening among adults aged 45–75 years | 63.2% | 58.0–68.3 |
| Visited dentist or dental clinic in the past year among adults | 61.3% | 57.4–65.1 |
| Mammography use among women aged 50-74 years | 74.6% | 66.6–81.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 22.9% | 19.2–26.9 |
| Current cigarette smoking among adults | 15.2% | 12.6–17.9 |
| No leisure-time physical activity among adults | 22.7% | 18.8–27.0 |
| Short sleep duration among adults | 37.8% | 31.6–44.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.5% | 13.1–18.1 |
| Frequent mental distress among adults | 14.8% | 13.0–16.8 |
| Frequent physical distress among adults | 11.7% | 10.2–13.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.7% | 11.0–14.6 |
| Any disability among adults | 27.4% | 23.4–31.6 |
| Hearing disability among adults | 7.2% | 6.3–8.1 |
| Independent living disability among adults | 6.7% | 5.9–7.7 |
| Mobility disability among adults | 10.5% | 8.9–12.2 |
| Self-care disability among adults | 3.0% | 2.6–3.4 |
| Vision disability among adults | 3.8% | 3.4–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.7% | 19.1–26.5 |
| Food insecurity in the past 12 months among adults | 10.4% | 8.5–12.7 |
| Received food stamps in the past 12 months among adults | 6.3% | 5.0–7.8 |
| Housing insecurity in the past 12 months among adults | 9.3% | 7.8–11.1 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 5.3–7.2 |
| Loneliness among adults | 29.4% | 24.6–34.3 |
| Utility services shut-off threat in the past 12 months among adults | 5.9% | 4.9–6.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | ND median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.2% | 10.6% (3.1–25.8%) n=32,364 | 8.0% (1.0–21.4%) n=380 |
| Uninsured 18–64 | 21.7% | 9.0% (1.5–24.3%) n=32,286 | 6.5% (0.0–19.2%) n=380 |
| No HS diploma (25+) | 10.3% | 7.9% (1.8–20.7%) n=32,505 | 6.3% (0.6–13.4%) n=382 |
| Bachelor's or higher (25+) | 13.1% | 23.3% (9.2–53.6%) n=32,505 | 24.6% (12.5–41.0%) n=382 |
| Unemployment rate (16+) | 0.7% | 3.9% (0.0–9.8%) n=32,274 | 1.1% (0.0–6.5%) n=382 |
| Households without a vehicle | 4.3% | 3.9% (0.0–12.5%) n=32,322 | 1.5% (0.0–7.4%) n=379 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 88.7% (75.3–98.1%) n=379 |
| Housing cost burden (≥30% income) | 8.1% | 23.7% (10.6–40.0%) n=32,322 | 15.2% (4.0–28.2%) n=379 |
| Homeownership rate | 74.9% | 78.7% (51.7–94.0%) n=32,322 | 83.5% (59.2–98.7%) n=379 |
| Crowded housing (>1 per room) | 13.8% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.6%) n=379 |
| Foreign-born population | 0.6% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–5.7%) n=383 |
| Single-parent households | 52.3% | 53.6% (37.3–74.1%) n=32,087 | 59.3% (40.0–83.3%) n=377 |
| Population 65+ | 8.2% | 19.4% (10.8–33.6%) n=32,553 | 21.6% (9.1–38.9%) n=383 |
| Median age | 37.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.9 yr (31.1–60.2) n=381 |
| Median household income | $98,380 | $72,070 ($46,039–$118,707) n=30,318 | $79,666 ($56,729–$115,391) n=354 |
| Median home value | $342,100 | $222,200 ($100,300–$579,820) n=30,049 | $159,750 ($88,870–$297,180) n=328 |
| Median gross rent | $1,223 | $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 | 79.7 yr ± 2.12 | 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 2.12 years of 79.7, 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