ZIP code
59842
in Haugan, MontanaPopulation 46
47.04/ 100
Ranked #20,108 of 32,066 US ZIPs (bottom 37%)
Ranked #216 of 341 Montana ZIPs (bottom 37%)
Ranked #15 of 18 Missoula, MT ZIPs (bottom 17%)
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.
Park land
93.2%
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Tree cover
94.2%
in the top 0.4% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
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 ›PFAS in drinking water
4.4%
in the bottom 0.7% nationally
Lower is healthier
ST1stUS1stDefinition & 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 ›Slow internet speeds
13.8%
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Loneliness
26.2%
in the bottom 1.4% nationally
Lower is healthier
ST4thUS1stDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Distance to a nursing home
19.5 mi
in the top 3.5% nationally
Lower is healthier
ST73rdUS97thDefinition & 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
29.4 mi
in the top 4.2% nationally
Lower is healthier
ST80thUS96thDefinition & 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 ›The read
Haugan, Montana (ZIP 59842), by its composite score, sits in the bottom 37% nationally (20,108th) and the bottom 37% of Montana (216th).
What the data marks out about this place comes first: modeled fine-particle stands in the top 0.6% nationally, and slow internet speeds registers in the top 1.2% nationally. Distance to a nursing home settles in the top 3.5% nationally, and distance to a community health center sits in the top 4.2% nationally. On the better side, park land lies in the top 0.2% nationally, modeled tree cover rests in the top 0.4% nationally, and modeled pfas resides in the bottom 0.7% nationally. Modeled loneliness is in the bottom 1.4% nationally, poverty lands at the national minimum, and home broadband subscription stands at the national maximum.
Next to the surrounding area, park land runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, 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. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. For a healthier comparison close by, see ZIP 59846, about 21 miles away.
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
Social Need / SDOH
healthier than 75%
16%
Climate / Disaster Risk
healthier than 96%
5%
About typical
Risk Behavior
healthier than 47%
11%
Mental Health
healthier than 58%
8%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Environmental Hazard
healthier than 30%
14%
Preventive Care
healthier than 27%
13%
Disability
healthier than 38%
7%
Healthcare Access
healthier than 1%
5%
Lifting this score
Social Need / SDOH
healthier than 78%
16%
About typical
Environmental Hazard
healthier than 50%
14%
Mental Health
healthier than 56%
8%
Climate / Disaster Risk
healthier than 51%
5%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Preventive Care
healthier than 33%
13%
Risk Behavior
healthier than 21%
11%
Disability
healthier than 31%
7%
Healthcare Access
healthier than 8%
5%
Lifting this score
Environmental Hazard
healthier than 94%
14%
Mental Health
healthier than 88%
8%
Climate / Disaster Risk
healthier than 63%
5%
About typical
Social Need / SDOH
healthier than 56%
16%
Holding it back
Chronic Disease Burden
healthier than 25%
21%
Preventive Care
healthier than 25%
13%
Risk Behavior
in the bottom 0.00%
11%
Disability
healthier than 19%
7%
Healthcare Access
in the bottom 0.00%
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
59830
Montanashares a border
Score 45.77
Closest healthier
59846
Montanaabout 21 mi away
Score 53.61
Similar health profile
59248
Montana95% similar profile
Score 48.38
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 | 34.9% | 30.6–38.9 |
| High blood pressure among adults | 40.4% | 35.5–44.8 |
| Cancer (non-skin) or melanoma among adults | 11.2% | 10.0–12.4 |
| Current asthma among adults | 10.9% | 9.6–12.4 |
| Coronary heart disease among adults | 9.2% | 7.9–10.6 |
| Chronic obstructive pulmonary disease among adults | 9.4% | 7.6–11.7 |
| Depression among adults | 23.4% | 19.8–27.2 |
| Diagnosed diabetes among adults | 13.2% | 11.0–15.3 |
| High cholesterol among adults who have ever been screened | 39.1% | 34.4–43.7 |
| Obesity among adults | 37.8% | 29.5–45.8 |
| Stroke among adults | 4.5% | 3.9–5.3 |
| All teeth lost among adults aged >=65 years | 13.0% | 10.5–15.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.1% | 5.9–10.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.9% | 74.0–81.2 |
| Visits to doctor for routine checkup within the past year among adults | 74.3% | 70.0–78.2 |
| Cholesterol screening among adults | 86.9% | 84.5–89.0 |
| Colorectal cancer screening among adults aged 45–75 years | 63.6% | 58.2–68.9 |
| Visited dentist or dental clinic in the past year among adults | 60.0% | 56.0–64.0 |
| Mammography use among women aged 50-74 years | 69.1% | 59.8–77.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.9% | 14.6–21.4 |
| Current cigarette smoking among adults | 16.5% | 12.9–20.8 |
| No leisure-time physical activity among adults | 23.7% | 18.7–29.1 |
| Short sleep duration among adults | 33.9% | 27.5–40.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.9% | 17.2–25.5 |
| Frequent mental distress among adults | 15.7% | 13.4–18.1 |
| Frequent physical distress among adults | 16.1% | 13.6–19.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.8% | 11.4–16.6 |
| Any disability among adults | 33.0% | 27.6–38.8 |
| Hearing disability among adults | 10.6% | 9.2–12.1 |
| Independent living disability among adults | 8.5% | 7.0–10.2 |
| Mobility disability among adults | 16.3% | 13.4–19.9 |
| Self-care disability among adults | 4.6% | 3.8–5.7 |
| Vision disability among adults | 5.2% | 4.4–6.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.0% | 16.3–24.0 |
| Food insecurity in the past 12 months among adults | 11.7% | 8.7–15.3 |
| Received food stamps in the past 12 months among adults | 9.2% | 6.7–12.4 |
| Housing insecurity in the past 12 months among adults | 8.6% | 6.7–10.9 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 5.6–8.4 |
| Loneliness among adults | 26.2% | 21.6–31.5 |
| Utility services shut-off threat in the past 12 months among adults | 6.7% | 5.3–8.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 39.1% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 43.5% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 0.0% | 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) | 17.4% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 82.6% | 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 | — | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 39.1% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 59.8 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 | — | $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