ZIP code
59064
in Pompeys Pillar, MontanaPopulation 211
47.76/ 100
Ranked #19,237 of 32,066 US ZIPs (bottom 40%)
Ranked #204 of 341 Montana ZIPs (bottom 40%)
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.
Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
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 ›Slow internet speeds
4.4%
in the top 2.8% nationally
Lower is healthier
ST91stUS97thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Walkability
1.5 intersections/sq mi
in the bottom 4.7% nationally
Higher is healthier
ST56thUS5thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Fine-particle (PM2.5) exceedance
1.9%
in the top 4.8% nationally
Lower is healthier
ST51stUS95thDefinition & 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 nursing home
16 mi
in the top 4.9% nationally
Lower is healthier
ST65thUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Air-toxics cancer risk
19.4 per million
in the bottom 7.3% nationally
Lower is healthier
ST72ndUS7thDefinition & 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 ›High cholesterol
32.7%
in the bottom 8.5% nationally
Lower is healthier
ST15thUS8thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Loud transportation noise
1.1%
in the top 17% nationally
Lower is healthier
ST91stUS83rdDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Dry extreme heat
22.9 days/year
in the top 20% nationally
Lower is healthier
ST99thUS80thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
Pompeys Pillar, Montana (ZIP 59064), on the composite measure, lands in the bottom 40% nationally (19,237th) and the bottom 40% of Montana (204th), based on limited data; treat as directional.
The readings that carry the most weight locally lead the way: slow internet speeds lies in the top 2.8% nationally, walkability settles in the bottom 4.7% nationally, and modeled fine-particle stands in the top 4.8% nationally. Distance to a nursing home is in the top 4.9% nationally. Fiber broadband rests at the national minimum, shared with about 19% of ZIPs. On the encouraging side, poverty sits at the national minimum, and home broadband subscription registers at the national maximum. Modeled air-toxics cancer risk lands in the bottom 7.3% nationally. Unemployment resides at the national minimum, shared with about 15% of ZIPs. Households without a vehicle lies at the national minimum, shared with about 16% of ZIPs.
Set against the neighboring ZIPs, slow internet speeds runs far higher than the surrounding ZIPs on this measure. In everyday language, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. A healthier neighbor overall sits at ZIP 59037, 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 65%
21%
About typical
Risk Behavior
healthier than 45%
11%
Disability
healthier than 45%
7%
Climate / Disaster RiskPartial
healthier than 58%
5%
Holding it back
Social Need / SDOH
healthier than 33%
16%
Environmental Hazard
healthier than 29%
14%
Preventive Care
healthier than 29%
13%
Mental Health
healthier than 11%
8%
Healthcare Access
healthier than 22%
5%
Lifting this score
Chronic Disease Burden
healthier than 76%
21%
Healthcare Access
healthier than 63%
5%
About typical
Environmental Hazard
healthier than 48%
14%
Disability
healthier than 42%
7%
Holding it back
Social Need / SDOH
healthier than 30%
16%
Preventive Care
healthier than 34%
13%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 6%
8%
Climate / Disaster RiskPartial
healthier than 3%
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
59006
Montanashares a border
Score 47.64
Closest healthier
59037
Montanashares a border
Score 49.51
Similar health profile
26505
West Virginia98% similar profile
Score 46.12
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 | 28.8% | 26.6–31.2 |
| High blood pressure among adults | 33.2% | 30.6–35.9 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.3–10.0 |
| Current asthma among adults | 11.3% | 10.1–12.5 |
| Coronary heart disease among adults | 6.8% | 6.1–7.7 |
| Chronic obstructive pulmonary disease among adults | 7.6% | 6.4–8.8 |
| Depression among adults | 28.4% | 25.6–31.3 |
| Diagnosed diabetes among adults | 10.7% | 9.4–12.2 |
| High cholesterol among adults who have ever been screened | 32.7% | 30.1–35.4 |
| Obesity among adults | 34.4% | 30.8–38.4 |
| Stroke among adults | 3.7% | 3.3–4.2 |
| All teeth lost among adults aged >=65 years | 11.0% | 9.1–13.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.7% | 8.7–13.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.7% | 72.2–77.1 |
| Visits to doctor for routine checkup within the past year among adults | 75.0% | 72.2–77.8 |
| Cholesterol screening among adults | 82.5% | 80.2–84.7 |
| Colorectal cancer screening among adults aged 45–75 years | 65.1% | 61.5–68.4 |
| Visited dentist or dental clinic in the past year among adults | 58.6% | 55.4–61.5 |
| Mammography use among women aged 50-74 years | 78.4% | 73.5–82.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.4% | 16.1–20.9 |
| Current cigarette smoking among adults | 15.4% | 13.0–18.0 |
| No leisure-time physical activity among adults | 23.7% | 20.4–27.4 |
| Short sleep duration among adults | 34.8% | 31.3–38.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.5% | 17.8–23.4 |
| Frequent mental distress among adults | 18.8% | 16.9–20.9 |
| Frequent physical distress among adults | 14.9% | 13.2–16.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.1% | 14.0–18.4 |
| Any disability among adults | 34.0% | 30.4–37.7 |
| Hearing disability among adults | 9.0% | 8.0–10.0 |
| Independent living disability among adults | 9.0% | 7.8–10.3 |
| Mobility disability among adults | 14.2% | 12.2–16.2 |
| Self-care disability among adults | 3.8% | 3.3–4.3 |
| Vision disability among adults | 5.0% | 4.4–5.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.7% | 19.9–25.7 |
| Food insecurity in the past 12 months among adults | 13.7% | 11.2–16.4 |
| Received food stamps in the past 12 months among adults | 9.9% | 7.8–12.1 |
| Housing insecurity in the past 12 months among adults | 10.4% | 8.6–12.2 |
| Lack of reliable transportation in the past 12 months among adults | 8.1% | 6.9–9.3 |
| Loneliness among adults | 32.8% | 29.4–36.2 |
| Utility services shut-off threat in the past 12 months among adults | 7.0% | 5.9–8.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 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+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 7.7% | 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 | 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) | 11.6% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 86.3% | 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 | 12.0% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 11.4% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 46.5 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 | $289,800 | $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 | 78.6 yr ± 1.42 | 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 1.42 years of 78.6, 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