ZIP code
59847
in Lolo, MontanaPopulation 6,015
53.71/ 100
Ranked #11,068 of 32,066 US ZIPs (top 35%)
Ranked #67 of 341 Montana ZIPs (top 20%)
Ranked #8 of 18 Missoula, MT ZIPs (top 44%)
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
5.8%
in the top 0.8% nationally
Lower is healthier
ST96thUS99thDefinition & 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 ›Binge drinking
22.4%
in the top 1.5% nationally
Lower is healthier
ST96thUS99thDefinition & 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 ›Park land
73.3%
in the top 1.0% nationally
Higher is healthier
ST95thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Short sleep
28.8%
in the bottom 5.2% nationally
Lower is healthier
ST15thUS5thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Elder-services access
0.16 per 1,000 residents
in the top 9.1% nationally
Higher is healthier
ST80thUS91stDefinition & source ›
The number of services for older adults and people with disabilities 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 ›High blood pressure
29.2%
in the bottom 8.7% nationally
Lower is healthier
ST5thUS9thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Obesity
28.7%
in the bottom 13.3% nationally
Lower is healthier
ST7thUS13thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Humid extreme heat
17.1 days/year
in the bottom 13.8% nationally
Lower is healthier
ST91stUS14thDefinition & 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 ›Diabetes
9.5%
in the bottom 12.2% nationally
Lower is healthier
ST9thUS12thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Mobility disability
11.2%
in the bottom 15% nationally
Lower is healthier
ST7thUS15thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›The read
Lolo, Montana (ZIP 59847), by its composite score, sits in the top 35% healthiest ZIPs nationally (11,068th) and the top 20% of Montana (67th), based on limited data; treat as directional.
The measures fall on both sides for this area, fairly evenly: park land lies in the top 1.0% nationally, and modeled short sleep rests in the bottom 5.2% nationally. Elder services resides in the top 9.1% nationally, and modeled high blood pressure is in the bottom 8.7% nationally. Distance to a community health center lands at the national minimum, shared with about 23% of ZIPs. Modeled tree cover stands in the top 11.6% nationally. Pulling the other way, modeled fine-particle registers in the top 0.8% nationally, binge drinking settles in the top 1.5% nationally, and radon sits in the top 11.5% nationally. Walkability lies in the bottom 10.2% nationally.
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. Radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. 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 59803, 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
Chronic Disease Burden
healthier than 79%
21%
Social Need / SDOH
healthier than 78%
16%
Risk Behavior
healthier than 64%
11%
Disability
healthier than 72%
7%
Climate / Disaster RiskPartial
healthier than 98%
5%
Healthcare Access
healthier than 68%
5%
Holding it back
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 27%
13%
Mental Health
healthier than 19%
8%
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 84%
16%
Disability
healthier than 83%
7%
Climate / Disaster RiskPartial
healthier than 70%
5%
Healthcare Access
healthier than 87%
5%
About typical
Risk Behavior
healthier than 40%
11%
Holding it back
Environmental Hazard
healthier than 12%
14%
Preventive Care
healthier than 32%
13%
Mental Health
healthier than 13%
8%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
Social Need / SDOH
healthier than 70%
16%
Disability
healthier than 60%
7%
Climate / Disaster RiskPartial
healthier than 85%
5%
Healthcare Access
healthier than 74%
5%
About typical
Environmental Hazard
healthier than 56%
14%
Holding it back
Preventive Care
healthier than 25%
13%
Risk Behavior
healthier than 15%
11%
Mental Health
healthier than 13%
8%
“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
59803
Montanashares a border
Score 61.51
Closest healthier
59804
Montanashares a border
Score 58.03
Similar health profile
98371
Washington97% similar profile
Score 52.87
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 | 25.8% | 23.2–28.3 |
| High blood pressure among adults | 29.2% | 26.3–32.2 |
| Cancer (non-skin) or melanoma among adults | 8.7% | 7.8–9.5 |
| Current asthma among adults | 11.2% | 9.9–12.5 |
| Coronary heart disease among adults | 5.9% | 5.2–6.5 |
| Chronic obstructive pulmonary disease among adults | 6.5% | 5.7–7.4 |
| Depression among adults | 27.2% | 24.0–30.4 |
| Diagnosed diabetes among adults | 9.5% | 8.3–10.9 |
| High cholesterol among adults who have ever been screened | 33.6% | 30.4–36.7 |
| Obesity among adults | 28.7% | 24.6–32.9 |
| Stroke among adults | 3.2% | 2.9–3.5 |
| All teeth lost among adults aged >=65 years | 11.4% | 9.3–13.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.5% | 7.0–10.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 72.1% | 68.8–75.1 |
| Visits to doctor for routine checkup within the past year among adults | 72.0% | 68.7–75.1 |
| Cholesterol screening among adults | 82.7% | 80.7–84.8 |
| Colorectal cancer screening among adults aged 45–75 years | 67.0% | 63.0–71.0 |
| Visited dentist or dental clinic in the past year among adults | 62.5% | 59.2–65.7 |
| Mammography use among women aged 50-74 years | 77.1% | 71.2–82.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 22.4% | 19.5–25.4 |
| Current cigarette smoking among adults | 13.7% | 11.4–15.9 |
| No leisure-time physical activity among adults | 17.9% | 15.0–20.8 |
| Short sleep duration among adults | 28.8% | 25.0–32.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.0% | 14.7–19.2 |
| Frequent mental distress among adults | 17.9% | 15.8–19.9 |
| Frequent physical distress among adults | 13.3% | 11.6–14.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.7% | 12.0–15.4 |
| Any disability among adults | 27.6% | 24.2–30.9 |
| Hearing disability among adults | 7.7% | 6.8–8.5 |
| Independent living disability among adults | 7.5% | 6.5–8.4 |
| Mobility disability among adults | 11.2% | 9.6–12.8 |
| Self-care disability among adults | 3.3% | 3.0–3.7 |
| Vision disability among adults | 4.1% | 3.7–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.9% | 18.1–23.8 |
| Food insecurity in the past 12 months among adults | 10.7% | 8.9–12.7 |
| Received food stamps in the past 12 months among adults | 8.1% | 6.7–9.9 |
| Housing insecurity in the past 12 months among adults | 9.3% | 7.9–10.9 |
| Lack of reliable transportation in the past 12 months among adults | 7.1% | 6.1–8.1 |
| Loneliness among adults | 30.3% | 26.8–33.8 |
| Utility services shut-off threat in the past 12 months among adults | 6.6% | 5.6–7.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.3% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 8.8% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 3.6% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 38.4% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 0.7% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 2.1% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 94.9% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 33.9% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 75.7% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 1.4% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 0.8% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 54.6% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 15.6% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 34.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $86,620 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $449,600 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $1,145 | $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 | 80.8 yr ± 1.11 | 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 1.11 years of 80.8, 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