ZIP code
59065
in Pray, MontanaPopulation 146
55.89/ 100
Ranked #8,394 of 32,066 US ZIPs (top 26%)
Ranked #34 of 341 Montana ZIPs (top 10.0%)
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.
Loneliness
25.3%
in the bottom 0.6% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Walkability
0.57 intersections/sq mi
in the bottom 1.3% nationally
Higher is healthier
ST13thUS1stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
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 ›Air-toxics cancer risk
10 per million
in the bottom 2.8% nationally
Lower is healthier
ST1stUS3rdDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Distance to a nursing home
18.7 mi
in the top 3.8% nationally
Lower is healthier
ST71stUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Humid extreme heat
6.5 days/year
in the bottom 4.1% nationally
Lower is healthier
ST37thUS4thDefinition & 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 ›Distance to a hazardous-chemical facility
21.1 mi
in the top 4.4% nationally
Higher is healthier
ST83rdUS96thDefinition & 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 an emergency room
21.3 mi
in the top 4.7% nationally
Lower is healthier
ST83rdUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Poverty rate
33.6%
in the top 5.0% nationally
Lower is healthier
ST94thUS95thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Short sleep
29.2%
in the bottom 6.5% nationally
Lower is healthier
ST19thUS6thDefinition & 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, Pray, Montana (ZIP 59065) comes out in the top 26% healthiest ZIPs nationally (8,394th) and the top 10.0% of Montana (34th).
The measures fall on both sides of the ledger for this area: modeled loneliness lies in the bottom 0.6% nationally, home broadband subscription sits at the national maximum, and modeled air-toxics cancer risk settles in the bottom 2.8% nationally. Modeled humid heat registers in the bottom 4.1% nationally, distance to a hazardous-chemical facility stands in the top 4.4% nationally, and modeled short sleep lands in the bottom 6.5% nationally. Set against that, walkability is in the bottom 1.3% nationally, and distance to a nursing home resides in the top 3.8% nationally. Distance to an emergency room rests in the top 4.7% nationally, and poverty lies in the top 5.0% nationally.
In plain terms, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. 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. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. The nearest healthier ZIP overall is ZIP 59027, 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
Environmental Hazard
healthier than 85%
14%
Risk Behavior
healthier than 81%
11%
Mental Health
healthier than 86%
8%
Climate / Disaster Risk
healthier than 98%
5%
About typical
Chronic Disease Burden
healthier than 50%
21%
Social Need / SDOH
healthier than 56%
16%
Preventive Care
healthier than 59%
13%
Disability
healthier than 52%
7%
Holding it back
Healthcare Access
healthier than 4%
5%
Lifting this score
Environmental Hazard
healthier than 89%
14%
Preventive Care
healthier than 80%
13%
Risk Behavior
healthier than 81%
11%
Mental Health
healthier than 97%
8%
Climate / Disaster Risk
healthier than 69%
5%
About typical
Chronic Disease Burden
healthier than 58%
21%
Social Need / SDOH
healthier than 54%
16%
Disability
healthier than 51%
7%
Holding it back
Healthcare Access
healthier than 20%
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
59027
Montanashares a border
Score 56.31
Closest healthier
59730
Montanaabout 6.6 mi away
Score 63.94
Similar health profile
82620
Wyoming98% similar profile
Score 54.49
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 | 32.3% | 28.7–36.3 |
| High blood pressure among adults | 38.1% | 33.8–42.6 |
| Cancer (non-skin) or melanoma among adults | 11.6% | 10.5–12.8 |
| Current asthma among adults | 10.2% | 8.9–11.5 |
| Coronary heart disease among adults | 8.8% | 7.7–10.0 |
| Chronic obstructive pulmonary disease among adults | 7.9% | 6.6–9.5 |
| Depression among adults | 20.2% | 17.1–23.6 |
| Diagnosed diabetes among adults | 12.1% | 10.3–14.1 |
| High cholesterol among adults who have ever been screened | 37.2% | 32.8–41.7 |
| Obesity among adults | 30.3% | 24.3–37.2 |
| Stroke among adults | 4.3% | 3.7–4.8 |
| All teeth lost among adults aged >=65 years | 7.7% | 6.2–9.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.2% | 5.7–9.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.3% | 74.9–81.5 |
| Visits to doctor for routine checkup within the past year among adults | 75.2% | 71.4–78.8 |
| Cholesterol screening among adults | 87.8% | 86.1–89.5 |
| Colorectal cancer screening among adults aged 45–75 years | 70.2% | 65.5–74.3 |
| Visited dentist or dental clinic in the past year among adults | 65.2% | 61.7–68.7 |
| Mammography use among women aged 50-74 years | 74.4% | 66.4–81.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.0% | 14.1–20.3 |
| Current cigarette smoking among adults | 13.1% | 10.3–16.1 |
| No leisure-time physical activity among adults | 22.0% | 17.9–26.5 |
| Short sleep duration among adults | 29.2% | 24.1–34.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.4% | 15.6–21.6 |
| Frequent mental distress among adults | 13.9% | 12.0–15.9 |
| Frequent physical distress among adults | 14.6% | 12.6–16.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.8% | 10.0–13.7 |
| Any disability among adults | 31.0% | 26.6–35.6 |
| Hearing disability among adults | 10.8% | 9.5–12.2 |
| Independent living disability among adults | 7.4% | 6.3–8.5 |
| Mobility disability among adults | 15.0% | 12.7–17.7 |
| Self-care disability among adults | 4.0% | 3.4–4.6 |
| Vision disability among adults | 4.8% | 4.1–5.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.9% | 16.0–22.4 |
| Food insecurity in the past 12 months among adults | 9.1% | 7.2–11.3 |
| Received food stamps in the past 12 months among adults | 6.6% | 5.1–8.3 |
| Housing insecurity in the past 12 months among adults | 7.1% | 5.8–8.6 |
| Lack of reliable transportation in the past 12 months among adults | 5.9% | 5.0–7.0 |
| Loneliness among adults | 25.3% | 21.4–29.7 |
| Utility services shut-off threat in the past 12 months among adults | 5.5% | 4.6–6.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 33.6% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 7.9% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 30.9% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 10.9% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 36.4% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 58.0% | 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 | 83.3% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 67.8% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 69.9 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 | $1,275,000 | $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 | 80.6 yr ± 1.00 | 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 1.00 years of 80.6, 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