ZIP code
59259
in Richey, MontanaPopulation 345
54.73/ 100
Ranked #9,786 of 32,066 US ZIPs (top 31%)
Ranked #47 of 341 Montana ZIPs (top 13.8%)
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.
Walkability
0.49 intersections/sq mi
in the bottom 1.1% nationally
Higher is healthier
ST10thUS1stDefinition & 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 a Superfund site
189.4 mi
in the top 1.1% nationally
Higher is healthier
ST92ndUS99thDefinition & 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 ›Industrial-pollution burden
in the bottom 1.6% nationally
Lower is healthier
ST13thUS2ndDefinition & 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 ›Distance to a nursing home
25.7 mi
in the top 2.1% nationally
Lower is healthier
ST84thUS98thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Distance to a community health center
28.5 mi
in the top 4.5% nationally
Lower is healthier
ST79thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Housing insecurity
6.6%
in the bottom 4.9% nationally
Lower is healthier
ST6thUS5thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Air-toxics cancer risk
10.4 per million
in the bottom 5.4% nationally
Lower is healthier
ST58thUS5thDefinition & 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 ›Humid extreme heat
10.1 days/year
in the bottom 7.2% nationally
Lower is healthier
ST62ndUS7thDefinition & 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 ›Food insecurity
8.1%
in the bottom 7.8% nationally
Lower is healthier
ST4thUS8thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Radon
3 pCi/L
in the top 10.4% nationally
Lower is healthier
ST90thUS90thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›The read
On the composite measure, Richey, Montana (ZIP 59259) stands in the top 31% healthiest ZIPs nationally (9,786th) and the top 13.8% of Montana (47th), based on limited data; treat as directional.
Several signals sit on each side of the ledger here: distance to a Superfund site sits in the top 1.1% nationally, and modeled industrial-pollution burden resides in the bottom 1.6% nationally. Modeled housing insecurity stands in the bottom 4.9% nationally, and air-toxics cancer risk sits in the bottom 5.4% nationally. Modeled humid heat resides in the bottom 7.2% nationally, and food insecurity stands in the bottom 7.8% nationally. Working the other way, walkability sits in the bottom 1.1% nationally, distance to a nursing home resides in the top 2.1% nationally, and distance to a community health center stands in the top 4.5% nationally. Modeled radon sits in the top 10.4% nationally.
For clarity, 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. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. ZIP 59315, just across the boundary, ranks better overall among the ZIPs nearby.
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 92%
14%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 74%
8%
Disability
healthier than 63%
7%
Climate / Disaster RiskPartial
healthier than 91%
5%
About typical
Chronic Disease Burden
healthier than 56%
21%
Social Need / SDOH
healthier than 49%
16%
Preventive Care
healthier than 54%
13%
Holding it back
Healthcare Access
healthier than 1%
5%
Lifting this score
Chronic Disease Burden
healthier than 63%
21%
Environmental Hazard
healthier than 95%
14%
Preventive Care
healthier than 75%
13%
Risk Behavior
healthier than 65%
11%
Mental Health
healthier than 83%
8%
Disability
healthier than 74%
7%
About typical
Social Need / SDOH
healthier than 45%
16%
Holding it back
Climate / Disaster RiskPartial
healthier than 31%
5%
Healthcare Access
healthier than 6%
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
59213
Montanashares a border
Score 22.95
Closest healthier
59315
Montanashares a border
Score 55.43
Similar health profile
57724
South Dakota96% similar profile
Score 55.66
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 | 32.2% | 29.1–35.4 |
| High blood pressure among adults | 36.3% | 32.8–40.0 |
| Cancer (non-skin) or melanoma among adults | 11.9% | 10.8–13.1 |
| Current asthma among adults | 10.6% | 9.5–11.8 |
| Coronary heart disease among adults | 7.8% | 7.0–8.8 |
| Chronic obstructive pulmonary disease among adults | 7.3% | 6.2–8.5 |
| Depression among adults | 21.8% | 19.0–24.9 |
| Diagnosed diabetes among adults | 10.8% | 9.4–12.5 |
| High cholesterol among adults who have ever been screened | 35.8% | 32.2–39.6 |
| Obesity among adults | 32.2% | 26.8–38.1 |
| Stroke among adults | 3.9% | 3.5–4.3 |
| All teeth lost among adults aged >=65 years | 7.3% | 6.0–8.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.6% | 6.1–9.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.0% | 75.2–80.8 |
| Visits to doctor for routine checkup within the past year among adults | 74.0% | 70.7–77.4 |
| Cholesterol screening among adults | 86.5% | 84.8–88.2 |
| Colorectal cancer screening among adults aged 45–75 years | 68.6% | 64.5–72.3 |
| Visited dentist or dental clinic in the past year among adults | 67.9% | 64.8–70.8 |
| Mammography use among women aged 50-74 years | 75.7% | 69.6–80.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.4% | 15.8–21.4 |
| Current cigarette smoking among adults | 11.8% | 9.8–13.8 |
| No leisure-time physical activity among adults | 22.0% | 18.3–25.9 |
| Short sleep duration among adults | 30.8% | 26.2–35.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.9% | 14.5–19.5 |
| Frequent mental distress among adults | 15.0% | 13.3–16.8 |
| Frequent physical distress among adults | 13.9% | 12.2–15.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.4% | 10.7–14.0 |
| Any disability among adults | 30.1% | 26.3–34.2 |
| Hearing disability among adults | 9.8% | 8.8–11.0 |
| Independent living disability among adults | 7.2% | 6.2–8.1 |
| Mobility disability among adults | 13.7% | 11.7–15.8 |
| Self-care disability among adults | 3.4% | 2.9–3.8 |
| Vision disability among adults | 4.1% | 3.6–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.0% | 17.2–23.1 |
| Food insecurity in the past 12 months among adults | 8.1% | 6.7–9.7 |
| Received food stamps in the past 12 months among adults | 5.2% | 4.2–6.4 |
| Housing insecurity in the past 12 months among adults | 6.6% | 5.6–7.8 |
| Lack of reliable transportation in the past 12 months among adults | 5.5% | 4.8–6.4 |
| Loneliness among adults | 28.7% | 24.9–33.0 |
| Utility services shut-off threat in the past 12 months among adults | 4.6% | 4.0–5.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.3% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 4.3% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 3.5% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 24.9% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 2.8% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 2.9% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 83.9% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 11.7% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 81.0% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 0.7% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 1.4% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 52.9% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 22.9% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 43.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $83,393 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $130,400 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $608 | $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 | 80.8 yr ± 1.50 | 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 1.50 years of 80.8, 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