ZIP code
59050
in Lodge Grass, MontanaPopulation 1,338
31.35/ 100
Ranked #30,462 of 32,066 US ZIPs (bottom 5.1%)
Ranked #326 of 341 Montana ZIPs (bottom 4.4%)
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.
Fatal road crashes
97.2 per 100,000 residents per year
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Energy-cost burden
6.8%
in the top 1.3% nationally
Lower is healthier
ST91stUS99thDefinition & 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 ›Grocery access
0.58 per 1,000 residents
in the top 1.1% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The number of full supermarkets inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Mammography
65.5%
in the bottom 3.4% nationally
Higher is healthier
ST4thUS3rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Lack of transportation
19.3%
in the top 2.6% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Crowded housing
13.8%
in the top 2.6% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Slow internet speeds
4.5%
in the top 2.7% nationally
Lower is healthier
ST91stUS97thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
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 ›Walkability
1.1 intersections/sq mi
in the bottom 2.9% nationally
Higher is healthier
ST41stUS3rdDefinition & 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
2.5%
in the top 3.4% nationally
Lower is healthier
ST63rdUS97thDefinition & 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 ›Cross-source signals
Health need and barriers to care documented here
On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.
These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.
Health need documented here
- People living in poverty
- Food insecurity
- Housing insecurity
Barriers to reaching care
- Distance to the nearest emergency room
- Thin local supply of doctors
- Thin local supply of pharmacies
A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.
See the full care-deserts analysis →The read
By the composite measure, Lodge Grass, Montana (ZIP 59050) sits in the bottom 5.1% nationally (30,462nd) and the bottom 4.4% of Montana (326th), based on limited data; treat as directional.
The readings that carry the most weight locally lead the way: fatal road crashes settles in the top 0.5% nationally, modeled energy burden stands in the top 1.3% nationally, and modeled mammography is in the bottom 3.4% nationally. Modeled transportation rests in the top 2.6% nationally, crowded housing sits in the top 2.6% nationally, and slow internet speeds registers in the top 2.7% nationally. Walkability lands in the bottom 2.9% nationally, and modeled fine-particle resides in the top 3.4% nationally. On the encouraging side, grocery lies in the top 1.1% nationally, and modeled air-toxics cancer risk settles in the bottom 2.8% nationally.
Compared with the ZIPs that surround it, grocery runs far higher than the surrounding ZIPs on this measure. In plain language, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Energy burden is the share of household income that goes to home energy bills. ZIP 59025, just across the boundary, ranks healthier 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
Climate / Disaster RiskPartial
healthier than 86%
5%
About typical
Environmental Hazard
healthier than 42%
14%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Social Need / SDOH
in the bottom 0.9%
16%
Preventive Care
healthier than 4%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 7%
7%
Healthcare Access
healthier than 11%
5%
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 60%
14%
Healthcare Access
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 28%
21%
Social Need / SDOH
healthier than 1%
16%
Preventive Care
healthier than 2%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 3%
8%
Disability
healthier than 4%
7%
Climate / Disaster RiskPartial
healthier than 19%
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
59016
Montanashares a border
Score 27.33
Closest healthier
59025
Montanashares a border
Score 36.96
Similar health profile
56670
Minnesota99% similar profile
Score 22.29
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 | 27.1% | 24.1–30.1 |
| High blood pressure among adults | 35.0% | 31.3–38.7 |
| Cancer (non-skin) or melanoma among adults | 6.6% | 6.0–7.3 |
| Current asthma among adults | 14.9% | 13.2–16.7 |
| Coronary heart disease among adults | 8.0% | 7.1–8.9 |
| Chronic obstructive pulmonary disease among adults | 9.5% | 8.3–10.9 |
| Depression among adults | 25.4% | 22.0–29.1 |
| Diagnosed diabetes among adults | 15.5% | 13.5–17.6 |
| High cholesterol among adults who have ever been screened | 30.0% | 26.6–33.6 |
| Obesity among adults | 36.0% | 30.1–42.3 |
| Stroke among adults | 5.0% | 4.5–5.5 |
| All teeth lost among adults aged >=65 years | 23.7% | 20.0–27.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.7% | 10.2–15.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.8% | 68.6–74.7 |
| Visits to doctor for routine checkup within the past year among adults | 70.1% | 66.1–74.1 |
| Cholesterol screening among adults | 77.2% | 74.4–79.9 |
| Colorectal cancer screening among adults aged 45–75 years | 56.3% | 51.2–61.0 |
| Visited dentist or dental clinic in the past year among adults | 49.2% | 45.7–52.5 |
| Mammography use among women aged 50-74 years | 65.5% | 57.3–72.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.8% | 14.9–21.2 |
| Current cigarette smoking among adults | 25.5% | 21.8–29.6 |
| No leisure-time physical activity among adults | 27.3% | 23.0–32.1 |
| Short sleep duration among adults | 37.7% | 32.5–43.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.1% | 25.6–33.2 |
| Frequent mental distress among adults | 22.9% | 20.3–25.8 |
| Frequent physical distress among adults | 19.2% | 17.0–21.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.8% | 18.2–23.9 |
| Any disability among adults | 39.8% | 35.1–44.8 |
| Hearing disability among adults | 11.0% | 9.8–12.3 |
| Independent living disability among adults | 13.4% | 11.7–15.3 |
| Mobility disability among adults | 19.0% | 16.6–21.7 |
| Self-care disability among adults | 5.9% | 5.2–6.7 |
| Vision disability among adults | 9.5% | 8.4–10.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.9% | 24.9–33.1 |
| Food insecurity in the past 12 months among adults | 30.3% | 25.4–35.4 |
| Received food stamps in the past 12 months among adults | 22.6% | 18.4–26.9 |
| Housing insecurity in the past 12 months among adults | 21.7% | 18.4–25.2 |
| Lack of reliable transportation in the past 12 months among adults | 19.3% | 16.6–22.0 |
| Loneliness among adults | 38.1% | 33.5–43.0 |
| Utility services shut-off threat in the past 12 months among adults | 16.8% | 14.4–19.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 28.6% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 42.7% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 11.1% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 22.6% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 10.2% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 5.3% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 76.3% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 15.9% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 75.6% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 13.8% | 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 | 61.1% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 14.1% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 34.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $62,500 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $112,500 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $725 | $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 | 77.9 yr ± 1.09 | 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 1.09 years of 77.9, 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