ZIP code
59830
in De Borgia, MontanaPopulation 102
45.77/ 100
Ranked #21,585 of 32,066 US ZIPs (bottom 33%)
Ranked #251 of 341 Montana ZIPs (bottom 26%)
Ranked #17 of 18 Missoula, MT ZIPs (bottom 5.6%)
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.
Unemployment rate
43.6%
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Park land
87.5%
in the top 0.4% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Fine-particle (PM2.5) exceedance
6.6%
in the top 0.6% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Tree cover
89.9%
in the top 1.4% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Loneliness
26.4%
in the bottom 1.7% nationally
Lower is healthier
ST5thUS2ndDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Poverty rate
45.1%
in the top 2.2% nationally
Lower is healthier
ST98thUS98thDefinition & 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 ›Housing-cost burden
45.8%
in the top 5.0% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›PFAS in drinking water
8.2%
in the bottom 5.2% nationally
Lower is healthier
ST6thUS5thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Industrial-pollution burden
in the bottom 5.6% nationally
Lower is healthier
ST30thUS6thDefinition & 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 ›The read
By its overall health score, De Borgia, Montana (ZIP 59830) lands in the bottom 33% nationally (21,585th) and the bottom 26% of Montana (251st).
The measures that press hardest set the tone here: unemployment registers in the top 0.4% nationally, and modeled fine-particle sits in the top 0.6% nationally. Poverty rests in the top 2.2% nationally, and housing-cost burden is in the top 5.0% nationally. On the stronger side, park land stands in the top 0.4% nationally, modeled tree cover settles in the top 1.4% nationally, and modeled loneliness lies in the bottom 1.7% nationally. Home broadband subscription resides at the national maximum, modeled pfas lands in the bottom 5.2% nationally, and modeled industrial-pollution burden registers in the bottom 5.6% nationally.
Weighed against the ZIPs nearby, unemployment runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Overall, the nearest healthier neighbor is ZIP 59842, 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 Missoula, MT metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Risk Behavior
healthier than 62%
11%
Climate / Disaster Risk
healthier than 97%
5%
About typical
Social Need / SDOH
healthier than 42%
16%
Preventive Care
healthier than 54%
13%
Mental Health
healthier than 44%
8%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Environmental Hazard
healthier than 31%
14%
Disability
healthier than 30%
7%
Healthcare Access
healthier than 6%
5%
Lifting this score
Preventive Care
healthier than 75%
13%
About typical
Environmental Hazard
healthier than 51%
14%
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Social Need / SDOH
healthier than 36%
16%
Risk Behavior
healthier than 38%
11%
Mental Health
healthier than 35%
8%
Disability
healthier than 19%
7%
Healthcare Access
healthier than 32%
5%
Lifting this score
Environmental Hazard
in the top 0.00%
14%
Preventive Care
healthier than 75%
13%
Climate / Disaster Risk
healthier than 81%
5%
About typical
Mental Health
healthier than 56%
8%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 6%
16%
Risk Behavior
healthier than 6%
11%
Disability
in the bottom 0.00%
7%
Healthcare Access
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
59842
Montanashares a border
Score 47.04
Closest healthier
59866
Montanashares a border
Score 45.91
Similar health profile
97635
California94% similar profile
Score 41.90
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 | 39.7% | 35.3–44.1 |
| High blood pressure among adults | 41.6% | 36.5–46.4 |
| Cancer (non-skin) or melanoma among adults | 12.4% | 11.1–13.7 |
| Current asthma among adults | 12.2% | 10.7–13.9 |
| Coronary heart disease among adults | 8.7% | 7.5–9.9 |
| Chronic obstructive pulmonary disease among adults | 10.6% | 8.6–12.8 |
| Depression among adults | 25.1% | 21.4–29.2 |
| Diagnosed diabetes among adults | 13.9% | 11.6–16.2 |
| High cholesterol among adults who have ever been screened | 40.7% | 35.7–45.5 |
| Obesity among adults | 38.7% | 30.4–47.0 |
| Stroke among adults | 4.8% | 4.2–5.5 |
| All teeth lost among adults aged >=65 years | 12.4% | 10.0–15.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.4% | 5.4–9.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.8% | 76.1–83.0 |
| Visits to doctor for routine checkup within the past year among adults | 77.2% | 73.3–80.7 |
| Cholesterol screening among adults | 89.2% | 87.5–90.9 |
| Colorectal cancer screening among adults aged 45–75 years | 66.9% | 61.5–71.9 |
| Visited dentist or dental clinic in the past year among adults | 64.1% | 60.5–68.0 |
| Mammography use among women aged 50-74 years | 70.6% | 61.7–78.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.4% | 12.5–18.4 |
| Current cigarette smoking among adults | 16.5% | 12.8–20.2 |
| No leisure-time physical activity among adults | 25.6% | 20.3–31.1 |
| Short sleep duration among adults | 32.8% | 26.5–39.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.3% | 18.4–26.7 |
| Frequent mental distress among adults | 16.0% | 13.7–18.3 |
| Frequent physical distress among adults | 17.7% | 15.1–20.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.1% | 11.8–16.6 |
| Any disability among adults | 34.7% | 29.2–40.3 |
| Hearing disability among adults | 10.0% | 8.7–11.4 |
| Independent living disability among adults | 9.4% | 7.8–11.2 |
| Mobility disability among adults | 18.9% | 15.6–22.5 |
| Self-care disability among adults | 5.2% | 4.3–6.2 |
| Vision disability among adults | 5.7% | 4.8–6.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.3% | 15.9–23.5 |
| Food insecurity in the past 12 months among adults | 12.5% | 9.4–16.4 |
| Received food stamps in the past 12 months among adults | 10.3% | 7.5–13.9 |
| Housing insecurity in the past 12 months among adults | 9.0% | 7.0–11.3 |
| Lack of reliable transportation in the past 12 months among adults | 7.1% | 5.8–8.6 |
| Loneliness among adults | 26.4% | 21.7–31.9 |
| Utility services shut-off threat in the past 12 months among adults | 7.0% | 5.7–8.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 45.1% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 28.1% | 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+) | 70.3% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 43.6% | 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) | 45.8% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 62.5% | 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 | 57.1% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 33.3% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 50.6 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 | $337,500 | $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 | 78.3 yr ± 1.80 | 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 1.80 years of 78.3, 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