ZIP code
58015
in Christine, North DakotaPopulation 343
62.12/ 100
Ranked #3,444 of 32,066 US ZIPs (top 10.8%)
Ranked #6 of 371 North Dakota ZIPs (top 1.7%)
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.
Binge drinking
23.3%
in the top 1.1% nationally
Lower is healthier
ST94thUS99thDefinition & 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 ›Fine-particle (PM2.5) exceedance
3.6%
in the top 1.9% nationally
Lower is healthier
ST95thUS98thDefinition & 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 ›Outer-floodplain exposure
18.3%
in the top 2.2% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
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 ›Lack of transportation
4.4%
in the bottom 3.2% nationally
Lower is healthier
ST4thUS3rdDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Food insecurity
6.9%
in the bottom 3.3% nationally
Lower is healthier
ST4thUS3rdDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Loneliness
27.1%
in the bottom 3.4% nationally
Lower is healthier
ST34thUS3rdDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Utility shut-off threat
4.2%
in the bottom 5.0% nationally
Lower is healthier
ST8thUS5thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Housing insecurity
6.7%
in the bottom 5.4% nationally
Lower is healthier
ST11thUS5thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Poverty rate
1.2%
in the bottom 5.5% nationally
Lower is healthier
ST12thUS5thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Natural-disaster risk
in the bottom 5.9% nationally
Lower is healthier
ST4thUS6thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›The read
On balance, and by the composite measure, Christine, North Dakota (ZIP 58015) ranks in the top 10.8% healthiest ZIPs nationally (3,444th) and the top 1.7% of North Dakota (6th).
Neither strongly one way nor the other, the measures sit mixed: modeled transportation resides in the bottom 3.2% nationally, and food insecurity lands in the bottom 3.3% nationally. Modeled loneliness registers in the bottom 3.4% nationally, and utility shutoff sits in the bottom 5.0% nationally. Modeled housing insecurity rests in the bottom 5.4% nationally, poverty is in the bottom 5.5% nationally, and modeled disaster risk stands in the bottom 5.9% nationally. Against that, modeled binge drinking settles in the top 1.1% nationally, modeled fine-particle lies in the top 1.9% nationally, and outer-floodplain exposure resides in the top 2.2% nationally.
Compared with the ZIPs it borders, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. In plainer terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". For a healthier nearby ZIP overall, look to ZIP 58047, 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 88%
21%
Social Need / SDOH
healthier than 90%
16%
Preventive Care
healthier than 78%
13%
Risk Behavior
healthier than 64%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 94%
7%
About typical
Climate / Disaster Risk
healthier than 43%
5%
Holding it back
Environmental Hazard
healthier than 10%
14%
Healthcare Access
healthier than 7%
5%
Lifting this score
Chronic Disease Burden
healthier than 94%
21%
Social Need / SDOH
healthier than 92%
16%
Preventive Care
healthier than 74%
13%
Risk Behavior
healthier than 69%
11%
Disability
healthier than 96%
7%
About typical
Mental Health
healthier than 60%
8%
Healthcare Access
healthier than 51%
5%
Holding it back
Environmental Hazard
healthier than 8%
14%
Climate / Disaster Risk
healthier than 11%
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
56560
Minnesotashares a border
Score 53.51
Closest healthier
58047
North Dakotashares a border
Score 62.45
Similar health profile
51039
Iowa98% similar profile
Score 57.62
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 | 24.2% | 21.0–27.4 |
| High blood pressure among adults | 30.4% | 26.6–34.5 |
| Cancer (non-skin) or melanoma among adults | 8.4% | 7.5–9.2 |
| Current asthma among adults | 9.5% | 8.2–10.8 |
| Coronary heart disease among adults | 5.1% | 4.4–5.8 |
| Chronic obstructive pulmonary disease among adults | 4.6% | 3.7–5.6 |
| Depression among adults | 20.7% | 17.4–24.3 |
| Diagnosed diabetes among adults | 8.4% | 7.0–9.9 |
| High cholesterol among adults who have ever been screened | 33.6% | 29.6–37.7 |
| Obesity among adults | 34.8% | 28.2–42.1 |
| Stroke among adults | 2.4% | 2.1–2.8 |
| All teeth lost among adults aged >=65 years | 7.2% | 5.9–8.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.5% | 4.3–7.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.8% | 72.4–78.9 |
| Visits to doctor for routine checkup within the past year among adults | 74.4% | 70.4–78.1 |
| Cholesterol screening among adults | 86.3% | 84.2–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 73.4% | 69.4–77.2 |
| Visited dentist or dental clinic in the past year among adults | 71.7% | 68.8–74.7 |
| Mammography use among women aged 50-74 years | 80.7% | 74.8–85.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 23.3% | 19.5–27.3 |
| Current cigarette smoking among adults | 10.8% | 8.4–13.6 |
| No leisure-time physical activity among adults | 18.3% | 14.5–22.7 |
| Short sleep duration among adults | 29.9% | 25.1–35.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.7% | 10.3–15.4 |
| Frequent mental distress among adults | 12.6% | 10.6–14.6 |
| Frequent physical distress among adults | 10.0% | 8.3–11.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.2% | 8.4–12.1 |
| Any disability among adults | 22.6% | 18.5–26.9 |
| Hearing disability among adults | 6.3% | 5.5–7.3 |
| Independent living disability among adults | 5.2% | 4.3–6.3 |
| Mobility disability among adults | 8.9% | 7.1–10.7 |
| Self-care disability among adults | 2.4% | 2.0–2.9 |
| Vision disability among adults | 2.9% | 2.4–3.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.7% | 15.5–22.4 |
| Food insecurity in the past 12 months among adults | 6.9% | 5.2–8.8 |
| Received food stamps in the past 12 months among adults | 3.8% | 2.7–5.1 |
| Housing insecurity in the past 12 months among adults | 6.7% | 5.3–8.5 |
| Lack of reliable transportation in the past 12 months among adults | 4.4% | 3.6–5.3 |
| Loneliness among adults | 27.1% | 22.9–31.9 |
| Utility services shut-off threat in the past 12 months among adults | 4.2% | 3.3–5.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | ND median (p10–p90) |
|---|---|---|---|
| Poverty rate | 1.2% | 10.6% (3.1–25.8%) n=32,364 | 8.0% (1.0–21.4%) n=380 |
| Uninsured 18–64 | 10.6% | 9.0% (1.5–24.3%) n=32,286 | 6.5% (0.0–19.2%) n=380 |
| No HS diploma (25+) | 5.1% | 7.9% (1.8–20.7%) n=32,505 | 6.3% (0.6–13.4%) n=382 |
| Bachelor's or higher (25+) | 34.7% | 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 | 0.9% | 3.9% (0.0–12.5%) n=32,322 | 1.5% (0.0–7.4%) n=379 |
| Broadband subscription | 97.3% | 89.3% (75.1–97.1%) n=32,322 | 88.7% (75.3–98.1%) n=379 |
| Housing cost burden (≥30% income) | 13.3% | 23.7% (10.6–40.0%) n=32,322 | 15.2% (4.0–28.2%) n=379 |
| Homeownership rate | 97.3% | 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 | 40.7% | 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 | 34.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.9 yr (31.1–60.2) n=381 |
| Median household income | $103,438 | $72,070 ($46,039–$118,707) n=30,318 | $79,666 ($56,729–$115,391) n=354 |
| Median home value | $392,900 | $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 | 83.0 yr ± 3.30 | 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 3.30 years of 83.0, 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