ZIP code
58787
in Tolley, North DakotaPopulation 83
54.31/ 100
Ranked #10,293 of 32,066 US ZIPs (top 32%)
Ranked #185 of 371 North Dakota ZIPs (top 50%)
Ranked #22 of 32 Minot, ND ZIPs (bottom 31%)
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
310.4 mi
in the top 0.4% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Loneliness
26.1%
in the bottom 1.2% nationally
Lower is healthier
ST10thUS1stDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Distance to a nursing home
29.7 mi
in the top 1.6% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Distance to an emergency room
30.4 mi
in the top 1.9% nationally
Lower is healthier
ST95thUS98thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Slow internet speeds
4.8%
in the top 2.5% nationally
Lower is healthier
ST90thUS98thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Households without a vehicle
25.6%
in the top 3.1% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Industrial-pollution burden
in the bottom 5.5% nationally
Lower is healthier
ST29thUS5thDefinition & 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 ›Fine-particle (PM2.5) exceedance
1.6%
in the top 5.6% nationally
Lower is healthier
ST51stUS94thDefinition & 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 insecurity
6.8%
in the bottom 6.0% nationally
Lower is healthier
ST13thUS6thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Hearing disability
11.5%
in the top 6.5% nationally
Lower is healthier
ST86thUS94thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›The read
Tolley, North Dakota (ZIP 58787) ranks in the top 32% healthiest ZIPs nationally (10,293rd) and the top 50% of North Dakota (185th), based on limited data; treat as directional.
Plainly, the numbers point to a handful of defining readings: distance to a nursing home registers in the top 1.6% nationally, and distance to an emergency room lies in the top 1.9% nationally. Slow internet speeds is in the top 2.5% nationally, and households without a vehicle registers in the top 3.1% nationally. Modeled fine-particle lies in the top 5.6% nationally, and hearing disability is in the top 6.5% nationally. On the brighter side, distance to a Superfund site registers in the top 0.4% nationally, modeled loneliness lies in the bottom 1.2% nationally, and modeled industrial-pollution burden is in the bottom 5.5% nationally. Modeled housing insecurity registers in the bottom 6.0% nationally.
Against its neighbors, slow internet speeds runs far higher than the surrounding ZIPs on this measure. For context, 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. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. The closest ZIP that ranks healthier overall is ZIP 58725, 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. Compare it against the US, this state and the Minot, ND metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 66%
11%
Mental Health
healthier than 96%
8%
Climate / Disaster RiskPartial
healthier than 87%
5%
About typical
Social Need / SDOH
healthier than 56%
16%
Environmental Hazard
healthier than 60%
14%
Disability
healthier than 51%
7%
Holding it back
Chronic Disease Burden
healthier than 24%
21%
Healthcare Access
healthier than 3%
5%
Lifting this score
Environmental Hazard
healthier than 90%
14%
Preventive Care
healthier than 95%
13%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 93%
8%
Climate / Disaster RiskPartial
healthier than 65%
5%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
healthier than 37%
16%
Disability
healthier than 30%
7%
Healthcare Access
healthier than 31%
5%
Lifting this score
Social Need / SDOH
in the top 0.00%
16%
Environmental Hazard
healthier than 98%
14%
Preventive Care
in the top 0.00%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
in the top 0.00%
8%
About typical
Climate / Disaster RiskPartial
healthier than 58%
5%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Disability
healthier than 34%
7%
Healthcare Access
healthier than 23%
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
58725
North Dakotashares a border
Score 55.31
Closest healthier
58734
North Dakotashares a border
Score 56.11
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 | 34.6% | 30.6–38.9 |
| High blood pressure among adults | 42.3% | 37.7–47.2 |
| Cancer (non-skin) or melanoma among adults | 12.5% | 11.2–13.8 |
| Current asthma among adults | 9.8% | 8.6–11.2 |
| Coronary heart disease among adults | 9.6% | 8.3–10.9 |
| Chronic obstructive pulmonary disease among adults | 8.3% | 6.8–9.9 |
| Depression among adults | 18.3% | 15.3–21.7 |
| Diagnosed diabetes among adults | 13.4% | 11.4–15.8 |
| High cholesterol among adults who have ever been screened | 40.7% | 36.0–45.6 |
| Obesity among adults | 38.5% | 30.5–46.9 |
| Stroke among adults | 4.5% | 3.9–5.1 |
| All teeth lost among adults aged >=65 years | 16.3% | 13.5–19.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.0% | 4.6–8.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.7% | 80.8–86.2 |
| Visits to doctor for routine checkup within the past year among adults | 79.2% | 75.6–82.4 |
| Cholesterol screening among adults | 88.6% | 86.7–90.4 |
| Colorectal cancer screening among adults aged 45–75 years | 69.8% | 64.8–74.4 |
| Visited dentist or dental clinic in the past year among adults | 66.0% | 62.2–69.6 |
| Mammography use among women aged 50-74 years | 81.1% | 74.2–86.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.0% | 14.0–20.3 |
| Current cigarette smoking among adults | 13.8% | 11.0–16.9 |
| No leisure-time physical activity among adults | 26.0% | 21.1–31.6 |
| Short sleep duration among adults | 31.5% | 25.1–38.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.1% | 15.1–21.6 |
| Frequent mental distress among adults | 12.2% | 10.5–14.2 |
| Frequent physical distress among adults | 13.6% | 11.7–15.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.4% | 9.5–13.4 |
| Any disability among adults | 32.0% | 27.3–37.4 |
| Hearing disability among adults | 11.5% | 10.1–13.1 |
| Independent living disability among adults | 7.3% | 6.1–8.5 |
| Mobility disability among adults | 15.5% | 13.0–18.6 |
| Self-care disability among adults | 3.9% | 3.3–4.6 |
| Vision disability among adults | 4.6% | 3.9–5.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.9% | 16.4–23.5 |
| Food insecurity in the past 12 months among adults | 8.8% | 6.9–11.2 |
| Received food stamps in the past 12 months among adults | 5.4% | 4.1–7.1 |
| Housing insecurity in the past 12 months among adults | 6.8% | 5.5–8.3 |
| Lack of reliable transportation in the past 12 months among adults | 5.1% | 4.2–6.1 |
| Loneliness among adults | 26.1% | 21.4–31.0 |
| Utility services shut-off threat in the past 12 months among adults | 4.5% | 3.7–5.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | ND median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.5% | 10.6% (3.1–25.8%) n=32,364 | 8.0% (1.0–21.4%) n=380 |
| Uninsured 18–64 | 35.0% | 9.0% (1.5–24.3%) n=32,286 | 6.5% (0.0–19.2%) n=380 |
| No HS diploma (25+) | 8.3% | 7.9% (1.8–20.7%) n=32,505 | 6.3% (0.6–13.4%) n=382 |
| Bachelor's or higher (25+) | 11.1% | 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 | 25.6% | 3.9% (0.0–12.5%) n=32,322 | 1.5% (0.0–7.4%) n=379 |
| Broadband subscription | 86.0% | 89.3% (75.1–97.1%) n=32,322 | 88.7% (75.3–98.1%) n=379 |
| Housing cost burden (≥30% income) | 37.2% | 23.7% (10.6–40.0%) n=32,322 | 15.2% (4.0–28.2%) n=379 |
| Homeownership rate | 86.0% | 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 | 38.1% | 53.6% (37.3–74.1%) n=32,087 | 59.3% (40.0–83.3%) n=377 |
| Population 65+ | 39.8% | 19.4% (10.8–33.6%) n=32,553 | 21.6% (9.1–38.9%) n=383 |
| Median age | 55.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.9 yr (31.1–60.2) n=381 |
| Median household income | $78,281 | $72,070 ($46,039–$118,707) n=30,318 | $79,666 ($56,729–$115,391) n=354 |
| Median home value | — | $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 | 78.1 yr ± 1.46 | 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 1.46 years of 78.1, 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