ZIP code
59351
in Volborg, MontanaPopulation 202
50.67/ 100
Ranked #15,317 of 32,066 US ZIPs (top 48%)
Ranked #146 of 341 Montana 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.
Slow internet speeds
10.7%
in the top 1.3% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Housing-cost burden
55.7%
in the top 1.8% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Walkability
0.84 intersections/sq mi
in the bottom 2.0% nationally
Higher is healthier
ST28thUS2ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Distance to an emergency room
26.6 mi
in the top 2.6% nationally
Lower is healthier
ST91stUS97thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Distance to a Superfund site
116 mi
in the top 2.9% nationally
Higher is healthier
ST84thUS97thDefinition & 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 ›Energy-cost burden
5.7%
in the top 3.8% nationally
Lower is healthier
ST83rdUS96thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Fine-particle (PM2.5) exceedance
1.9%
in the top 4.6% nationally
Lower is healthier
ST55thUS95thDefinition & 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 ›Distance to a hazardous-chemical facility
20.1 mi
in the top 4.8% nationally
Higher is healthier
ST82ndUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Distance to a nursing home
14.4 mi
in the top 5.8% nationally
Lower is healthier
ST59thUS94thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Homeownership rate
97.7%
in the top 5.9% nationally
Higher is healthier
ST92ndUS94thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›The read
Overall, Volborg, Montana (ZIP 59351) lands in the top 48% healthiest ZIPs nationally (15,317th) and the top 43% of Montana (146th), based on limited data; treat as directional.
What defines this place in the numbers is worth naming first: slow internet speeds stands in the top 1.3% nationally, and housing-cost burden lies in the top 1.8% nationally. Walkability lands in the bottom 2.0% nationally, and distance to an emergency room sits in the top 2.6% nationally. Modeled energy burden is in the top 3.8% nationally, modeled fine-particle settles in the top 4.6% nationally, and distance to a nursing home resides in the top 5.8% nationally. More encouragingly, distance to a Superfund site registers in the top 2.9% nationally, distance to a hazardous-chemical facility rests in the top 4.8% nationally, and homeownership stands in the top 5.9% nationally.
Set beside the nearby areas, slow internet speeds runs far higher than the surrounding ZIPs on this measure. A note on the 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. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. For a healthier nearby comparison, ZIP 59336, about 17 miles away, ranks better overall.
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 65%
21%
Risk Behavior
healthier than 71%
11%
Climate / Disaster RiskPartial
healthier than 79%
5%
About typical
Mental Health
healthier than 52%
8%
Disability
healthier than 58%
7%
Holding it back
Social Need / SDOH
healthier than 12%
16%
Environmental Hazard
healthier than 39%
14%
Preventive Care
healthier than 25%
13%
Healthcare Access
healthier than 7%
5%
Lifting this score
Chronic Disease Burden
healthier than 76%
21%
Disability
healthier than 63%
7%
About typical
Environmental Hazard
healthier than 56%
14%
Risk Behavior
healthier than 54%
11%
Mental Health
healthier than 49%
8%
Holding it back
Social Need / SDOH
healthier than 8%
16%
Preventive Care
healthier than 27%
13%
Climate / Disaster RiskPartial
healthier than 11%
5%
Healthcare Access
healthier than 34%
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
59003
Montanashares a border
Score 27.62
Closest healthier
59336
Montanaabout 17 mi away
Score 53.98
Similar health profile
82054
Wyoming95% similar profile
Score 51.39
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 | 30.0% | 27.2–32.9 |
| High blood pressure among adults | 33.5% | 30.2–36.6 |
| Cancer (non-skin) or melanoma among adults | 10.4% | 9.4–11.3 |
| Current asthma among adults | 10.8% | 9.6–12.0 |
| Coronary heart disease among adults | 7.3% | 6.5–8.3 |
| Chronic obstructive pulmonary disease among adults | 7.1% | 5.9–8.3 |
| Depression among adults | 23.0% | 20.1–26.0 |
| Diagnosed diabetes among adults | 10.1% | 8.8–11.5 |
| High cholesterol among adults who have ever been screened | 33.9% | 30.6–37.4 |
| Obesity among adults | 30.2% | 24.8–36.4 |
| Stroke among adults | 3.7% | 3.2–4.2 |
| All teeth lost among adults aged >=65 years | 11.9% | 9.8–14.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 6.7–11.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.7% | 73.1–78.1 |
| Visits to doctor for routine checkup within the past year among adults | 72.8% | 69.0–76.0 |
| Cholesterol screening among adults | 84.2% | 81.8–86.4 |
| Colorectal cancer screening among adults aged 45–75 years | 62.5% | 58.5–66.3 |
| Visited dentist or dental clinic in the past year among adults | 65.4% | 62.5–68.4 |
| Mammography use among women aged 50-74 years | 72.5% | 66.3–78.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.9% | 16.3–21.7 |
| Current cigarette smoking among adults | 13.3% | 10.4–16.3 |
| No leisure-time physical activity among adults | 21.4% | 17.5–25.5 |
| Short sleep duration among adults | 30.4% | 25.3–35.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.6% | 14.6–20.7 |
| Frequent mental distress among adults | 16.6% | 14.4–18.7 |
| Frequent physical distress among adults | 13.8% | 11.9–15.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.7% | 11.5–16.1 |
| Any disability among adults | 31.6% | 27.2–35.9 |
| Hearing disability among adults | 9.7% | 8.6–10.8 |
| Independent living disability among adults | 7.8% | 6.5–9.1 |
| Mobility disability among adults | 13.2% | 11.1–15.3 |
| Self-care disability among adults | 3.4% | 2.9–4.0 |
| Vision disability among adults | 4.4% | 3.7–5.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.0% | 17.9–24.4 |
| Food insecurity in the past 12 months among adults | 10.1% | 7.8–13.1 |
| Received food stamps in the past 12 months among adults | 7.1% | 5.1–9.6 |
| Housing insecurity in the past 12 months among adults | 8.2% | 6.5–10.3 |
| Lack of reliable transportation in the past 12 months among adults | 6.5% | 5.4–7.9 |
| Loneliness among adults | 29.6% | 25.5–33.9 |
| Utility services shut-off threat in the past 12 months among adults | 5.8% | 4.7–7.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.3% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 3.4% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 10.0% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 40.8% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 10.2% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 95.5% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 55.7% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 97.7% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 62.5% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 18.3% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 33.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $117,800 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | $877 ($544–$1,329) n=213 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 80.0 yr ± 1.05 | 78.9 yr (74.7–82.8) n=31,308 | 79.7 yr (76.7–83.7) n=358 |
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 1.05 years of 80.0, 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