ZIP code
59932
in Somers, MontanaPopulation 1,850
51.48/ 100
Ranked #14,158 of 32,066 US ZIPs (top 44%)
Ranked #133 of 341 Montana ZIPs (top 39%)
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.
Fine-particle (PM2.5) exceedance
3.1%
in the top 2.2% nationally
Lower is healthier
ST75thUS98thDefinition & 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 ›Home broadband subscription
61.8%
in the bottom 3.3% nationally
Higher is healthier
ST4thUS3rdDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Park land
28.6%
in the top 5.0% nationally
Higher is healthier
ST81stUS95thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Floodplain exposure
39.7%
in the top 6.3% nationally
Lower is healthier
ST99thUS94thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Loneliness
27.9%
in the bottom 6.8% nationally
Lower is healthier
ST24thUS7thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Outer-floodplain exposure
4.9%
in the top 7.5% nationally
Lower is healthier
ST99thUS93rdDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Fatal road crashes
37.8 per 100,000 residents per year
in the top 7.9% nationally
Lower is healthier
ST75thUS92ndDefinition & 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 ›Loud transportation noise
1.9%
in the top 8.1% nationally
Lower is healthier
ST97thUS92ndDefinition & 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 ›Humid extreme heat
11.6 days/year
in the bottom 8.6% nationally
Lower is healthier
ST70thUS9thDefinition & 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 ›Short sleep
29.8%
in the bottom 8.8% nationally
Lower is healthier
ST25thUS9thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›The read
On the composite measure, Somers, Montana (ZIP 59932) stands in the top 44% healthiest ZIPs nationally (14,158th) and the top 39% of Montana (133rd).
A balanced set of signals defines this area, not any single one: park land settles in the top 5.0% nationally, and modeled loneliness rests in the bottom 6.8% nationally. Households without a vehicle lands at the national minimum, shared with about 16% of ZIPs. Modeled humid heat settles in the bottom 8.6% nationally. By contrast, modeled fine-particle rests in the top 2.2% nationally, home broadband subscription lands in the bottom 3.3% nationally, and floodplain exposure settles in the top 6.3% nationally. Outer-floodplain exposure rests in the top 7.5% nationally, fatal road crashes lands in the top 7.9% nationally, and modeled loud transportation noise settles in the top 8.1% nationally.
Set beside the wider area around it, park land runs far higher than the surrounding ZIPs on this measure. For clarity, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". ZIP 59901, 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
Risk Behavior
healthier than 80%
11%
Mental Health
healthier than 68%
8%
Disability
healthier than 62%
7%
About typical
Chronic Disease Burden
healthier than 58%
21%
Social Need / SDOH
healthier than 53%
16%
Holding it back
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 35%
13%
Climate / Disaster Risk
healthier than 23%
5%
Healthcare Access
healthier than 26%
5%
Lifting this score
Chronic Disease Burden
healthier than 67%
21%
Risk Behavior
healthier than 76%
11%
Mental Health
healthier than 73%
8%
Disability
healthier than 69%
7%
Healthcare Access
healthier than 67%
5%
About typical
Social Need / SDOH
healthier than 49%
16%
Preventive Care
healthier than 47%
13%
Holding it back
Environmental Hazard
healthier than 12%
14%
Climate / Disaster Risk
healthier than 1%
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
59901
Montanashares a border
Score 52.96
Closest healthier
59911
Montanashares a border
Score 58.49
Similar health profile
85044
Arizona93% similar profile
Score 59.11
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 | 31.9% | 29.0–34.8 |
| High blood pressure among adults | 33.8% | 30.7–37.0 |
| Cancer (non-skin) or melanoma among adults | 11.4% | 10.4–12.4 |
| Current asthma among adults | 10.7% | 9.5–12.0 |
| Coronary heart disease among adults | 7.4% | 6.6–8.4 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.6–9.0 |
| Depression among adults | 23.1% | 20.4–26.0 |
| Diagnosed diabetes among adults | 10.3% | 8.9–11.8 |
| High cholesterol among adults who have ever been screened | 35.7% | 32.5–39.0 |
| Obesity among adults | 31.0% | 26.9–35.3 |
| Stroke among adults | 3.8% | 3.4–4.2 |
| All teeth lost among adults aged >=65 years | 11.7% | 9.6–14.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 6.9–10.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.2% | 73.0–79.0 |
| Visits to doctor for routine checkup within the past year among adults | 73.3% | 70.1–76.3 |
| Cholesterol screening among adults | 85.6% | 83.7–87.3 |
| Colorectal cancer screening among adults aged 45–75 years | 68.0% | 64.2–71.7 |
| Visited dentist or dental clinic in the past year among adults | 65.9% | 62.9–68.8 |
| Mammography use among women aged 50-74 years | 72.4% | 65.9–78.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.4% | 15.9–21.1 |
| Current cigarette smoking among adults | 12.6% | 10.5–14.9 |
| No leisure-time physical activity among adults | 19.7% | 16.6–23.1 |
| Short sleep duration among adults | 29.8% | 26.1–33.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.5% | 15.8–21.3 |
| Frequent mental distress among adults | 14.8% | 13.1–16.7 |
| Frequent physical distress among adults | 14.3% | 12.5–16.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.7% | 11.0–14.6 |
| Any disability among adults | 31.1% | 27.5–34.9 |
| Hearing disability among adults | 9.4% | 8.4–10.5 |
| Independent living disability among adults | 7.4% | 6.3–8.5 |
| Mobility disability among adults | 13.5% | 11.5–15.6 |
| Self-care disability among adults | 3.6% | 3.1–4.1 |
| Vision disability among adults | 4.3% | 3.8–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.4% | 17.5–23.4 |
| Food insecurity in the past 12 months among adults | 9.8% | 7.8–12.0 |
| Received food stamps in the past 12 months among adults | 6.8% | 5.3–8.7 |
| Housing insecurity in the past 12 months among adults | 7.9% | 6.5–9.6 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 5.3–7.3 |
| Loneliness among adults | 27.9% | 24.3–31.7 |
| Utility services shut-off threat in the past 12 months among adults | 5.5% | 4.6–6.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.6% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 15.1% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 15.3% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 41.0% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 2.9% | 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 | 61.8% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 27.5% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 66.3% | 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 | 76.2% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 26.4% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 59.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $60,152 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $768,600 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $1,148 | $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 | 81.4 yr ± 0.88 | 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 0.88 years of 81.4, 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