ZIP code
59029
in Fromberg, MontanaPopulation 760
45.13/ 100
Ranked #22,273 of 32,066 US ZIPs (bottom 31%)
Ranked #258 of 341 Montana ZIPs (bottom 24%)
Ranked #29 of 30 Billings, MT ZIPs (bottom 3.4%)
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.
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 ›Recreation access
1.4 per 1,000 residents
in the top 4.3% nationally
Higher is healthier
ST96thUS96thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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.
Full methodology ›Distance to an emergency room
19.7 mi
in the top 5.7% nationally
Lower is healthier
ST79thUS94thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Fine-particle (PM2.5) exceedance
1.4%
in the top 6.9% nationally
Lower is healthier
ST39thUS93rdDefinition & 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 ›Walkability
2.1 intersections/sq mi
in the bottom 8.3% nationally
Higher is healthier
ST70thUS8thDefinition & 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 nursing home
11.7 mi
in the top 8.4% nationally
Lower is healthier
ST49thUS92ndDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Home broadband subscription
73.6%
in the bottom 8.6% nationally
Higher is healthier
ST12thUS9thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Humid extreme heat
13 days/year
in the bottom 9.8% nationally
Lower is healthier
ST79thUS10thDefinition & 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 ›Binge drinking
19.2%
in the top 9.8% nationally
Lower is healthier
ST70thUS90thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›The read
Fromberg, Montana (ZIP 59029), by its overall standing, sits in the bottom 31% nationally (22,273rd) and the bottom 24% of Montana (258th).
Both sides of the picture show up plainly in this area's numbers: modeled air-toxics cancer risk sits in the bottom 2.8% nationally, recreation settles in the top 4.3% nationally, and modeled humid heat registers in the bottom 9.8% nationally. By contrast, distance to an emergency room stands in the top 5.7% nationally, modeled fine-particle lands in the top 6.9% nationally, and walkability is in the bottom 8.3% nationally. Distance to a nursing home resides in the top 8.4% nationally, and home broadband subscription rests in the bottom 8.6% nationally. Fiber broadband lies at the national minimum, shared with about 19% of ZIPs. Unemployment sits in the top 10.6% nationally.
Defined in plain terms, 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. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. The nearest ZIP ranking healthier overall is ZIP 59014, 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. Compare it against the US, this state and the Billings, MT metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 62%
14%
Climate / Disaster Risk
healthier than 86%
5%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Social Need / SDOH
healthier than 18%
16%
Preventive Care
healthier than 20%
13%
Risk Behavior
healthier than 34%
11%
Mental Health
healthier than 36%
8%
Disability
healthier than 33%
7%
Healthcare Access
healthier than 24%
5%
Lifting this score
Environmental Hazard
healthier than 74%
14%
Healthcare Access
healthier than 65%
5%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Social Need / SDOH
healthier than 14%
16%
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 13%
11%
Mental Health
healthier than 27%
8%
Disability
healthier than 25%
7%
Climate / Disaster Risk
healthier than 19%
5%
Lifting this score
Environmental Hazard
healthier than 63%
14%
About typical
Healthcare Access
healthier than 52%
5%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Social Need / SDOH
healthier than 15%
16%
Preventive Care
healthier than 4%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 33%
8%
Disability
healthier than 4%
7%
Climate / Disaster Risk
healthier than 26%
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
59014
Montanashares a border
Score 45.51
Closest healthier
59026
Montanashares a border
Score 48.47
Similar health profile
59450
Montana98% similar profile
Score 41.68
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 | 34.3% | 30.9–38.2 |
| High blood pressure among adults | 40.6% | 36.5–45.3 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.5–11.6 |
| Current asthma among adults | 11.6% | 10.3–13.0 |
| Coronary heart disease among adults | 8.4% | 7.5–9.5 |
| Chronic obstructive pulmonary disease among adults | 9.3% | 8.1–10.6 |
| Depression among adults | 24.5% | 21.0–28.5 |
| Diagnosed diabetes among adults | 12.5% | 10.9–14.5 |
| High cholesterol among adults who have ever been screened | 36.2% | 32.2–40.7 |
| Obesity among adults | 35.5% | 28.8–43.2 |
| Stroke among adults | 4.4% | 4.0–4.9 |
| All teeth lost among adults aged >=65 years | 14.2% | 11.6–17.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.7% | 8.0–11.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.8% | 72.5–79.0 |
| Visits to doctor for routine checkup within the past year among adults | 73.3% | 69.4–77.0 |
| Cholesterol screening among adults | 83.9% | 81.8–85.9 |
| Colorectal cancer screening among adults aged 45–75 years | 63.1% | 57.9–68.0 |
| Visited dentist or dental clinic in the past year among adults | 59.9% | 56.2–63.7 |
| Mammography use among women aged 50-74 years | 71.4% | 62.8–78.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.2% | 16.1–22.8 |
| Current cigarette smoking among adults | 16.7% | 14.3–19.6 |
| No leisure-time physical activity among adults | 25.1% | 21.1–30.1 |
| Short sleep duration among adults | 33.9% | 27.8–40.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.0% | 19.2–25.2 |
| Frequent mental distress among adults | 17.4% | 15.4–19.6 |
| Frequent physical distress among adults | 16.5% | 14.6–18.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.3% | 13.5–17.5 |
| Any disability among adults | 34.7% | 30.6–39.7 |
| Hearing disability among adults | 10.4% | 9.2–11.6 |
| Independent living disability among adults | 9.3% | 8.1–10.5 |
| Mobility disability among adults | 16.4% | 14.2–18.9 |
| Self-care disability among adults | 4.6% | 4.1–5.2 |
| Vision disability among adults | 5.5% | 4.9–6.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.6% | 19.1–26.2 |
| Food insecurity in the past 12 months among adults | 12.9% | 10.6–15.2 |
| Received food stamps in the past 12 months among adults | 9.9% | 8.0–12.0 |
| Housing insecurity in the past 12 months among adults | 9.7% | 8.1–11.4 |
| Lack of reliable transportation in the past 12 months among adults | 7.9% | 6.8–9.0 |
| Loneliness among adults | 30.8% | 26.0–35.7 |
| Utility services shut-off threat in the past 12 months among adults | 7.3% | 6.2–8.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.5% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 14.7% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 3.9% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 19.9% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 9.6% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 0.3% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 73.6% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 23.5% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 81.8% | 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 | 0.9% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 67.0% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 18.8% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 45.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $72,188 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $296,400 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $877 | $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 | 79.0 yr ± 1.29 | 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 1.29 years of 79.0, 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