ZIP code
59041
in Joliet, MontanaPopulation 2,258
49.98/ 100
Ranked #16,267 of 32,066 US ZIPs (bottom 49%)
Ranked #160 of 341 Montana ZIPs (top 47%)
Ranked #20 of 30 Billings, MT ZIPs (bottom 33%)
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.
Nitrate in drinking water
7.0%
in the top 3.6% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams per liter.
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 ›Air-toxics cancer risk
10.1 per million
in the bottom 5.2% nationally
Lower is healthier
ST57thUS5thDefinition & 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 ›Fine-particle (PM2.5) exceedance
1.4%
in the top 6.5% nationally
Lower is healthier
ST41stUS94thDefinition & 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 ›Fatal road crashes
35.4 per 100,000 residents per year
in the top 9.3% nationally
Lower is healthier
ST73rdUS91stDefinition & 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 ›Walkability
2.3 intersections/sq mi
in the bottom 9.4% nationally
Higher is healthier
ST72ndUS9thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Binge drinking
19.3%
in the top 9.3% nationally
Lower is healthier
ST72ndUS91stDefinition & 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
Overall, Joliet, Montana (ZIP 59041) lands in the bottom 49% nationally (16,267th) and the top 47% of Montana (160th).
The picture here is genuinely mixed, with readings on both sides: modeled air-toxics cancer risk registers in the bottom 5.2% nationally, and humid heat rests in the bottom 10.9% nationally. Distance to a community health center stands at the national minimum, shared with about 23% of ZIPs. Crowded housing lies at the national minimum, shared with about 29% of ZIPs. On the other side, modeled nitrate lands in the top 3.6% nationally, modeled fine-particle sits in the top 6.5% nationally, and fatal road crashes is in the top 9.3% nationally. Walkability settles in the bottom 9.4% nationally, modeled binge drinking resides in the top 9.3% nationally, and modeled radon registers in the top 16% nationally.
A note on the terms: nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. 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. For a healthier nearby comparison, ZIP 59013, just across the boundary, ranks better overall.
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
Climate / Disaster Risk
healthier than 84%
5%
Healthcare Access
healthier than 61%
5%
About typical
Chronic Disease Burden
healthier than 43%
21%
Social Need / SDOH
healthier than 55%
16%
Environmental Hazard
healthier than 44%
14%
Risk Behavior
healthier than 48%
11%
Mental Health
healthier than 47%
8%
Disability
healthier than 49%
7%
Holding it back
Preventive Care
healthier than 30%
13%
Lifting this score
Environmental Hazard
healthier than 61%
14%
Healthcare Access
healthier than 83%
5%
About typical
Chronic Disease Burden
healthier than 47%
21%
Social Need / SDOH
healthier than 52%
16%
Disability
healthier than 47%
7%
Holding it back
Preventive Care
healthier than 35%
13%
Risk Behavior
healthier than 22%
11%
Mental Health
healthier than 39%
8%
Climate / Disaster Risk
healthier than 16%
5%
Lifting this score
Healthcare Access
healthier than 81%
5%
About typical
Social Need / SDOH
healthier than 41%
16%
Environmental Hazard
healthier than 41%
14%
Mental Health
healthier than 44%
8%
Holding it back
Chronic Disease Burden
healthier than 26%
21%
Preventive Care
healthier than 26%
13%
Risk Behavior
healthier than 30%
11%
Disability
healthier than 19%
7%
Climate / Disaster Risk
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
59013
Montanashares a border
Score 53.29
Closest healthier
59019
Montanashares a border
Score 54.42
Similar health profile
59416
Montana91% similar profile
Score 48.60
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 | 33.9% | 30.4–37.5 |
| High blood pressure among adults | 39.8% | 35.8–44.1 |
| Cancer (non-skin) or melanoma among adults | 10.7% | 9.8–11.8 |
| Current asthma among adults | 11.4% | 10.1–12.8 |
| Coronary heart disease among adults | 7.8% | 7.0–8.7 |
| Chronic obstructive pulmonary disease among adults | 8.4% | 7.4–9.5 |
| Depression among adults | 24.0% | 20.7–27.7 |
| Diagnosed diabetes among adults | 11.8% | 10.2–13.6 |
| High cholesterol among adults who have ever been screened | 36.3% | 32.3–40.7 |
| Obesity among adults | 34.6% | 28.2–41.9 |
| Stroke among adults | 4.1% | 3.7–4.5 |
| All teeth lost among adults aged >=65 years | 9.3% | 7.5–11.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.9% | 7.4–10.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.9% | 72.6–79.0 |
| Visits to doctor for routine checkup within the past year among adults | 73.9% | 70.3–77.6 |
| Cholesterol screening among adults | 85.2% | 83.5–87.0 |
| Colorectal cancer screening among adults aged 45–75 years | 64.3% | 59.3–69.1 |
| Visited dentist or dental clinic in the past year among adults | 64.1% | 60.6–67.6 |
| Mammography use among women aged 50-74 years | 72.9% | 64.6–80.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.3% | 16.4–22.9 |
| Current cigarette smoking among adults | 15.4% | 13.1–17.7 |
| No leisure-time physical activity among adults | 23.2% | 19.3–27.4 |
| Short sleep duration among adults | 33.0% | 27.3–39.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.0% | 17.5–22.8 |
| Frequent mental distress among adults | 16.5% | 14.7–18.6 |
| Frequent physical distress among adults | 15.4% | 13.7–17.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.1% | 12.5–15.9 |
| Any disability among adults | 32.5% | 28.4–36.9 |
| Hearing disability among adults | 9.6% | 8.6–10.7 |
| Independent living disability among adults | 8.2% | 7.2–9.2 |
| Mobility disability among adults | 14.9% | 12.9–17.0 |
| Self-care disability among adults | 4.0% | 3.6–4.4 |
| Vision disability among adults | 4.8% | 4.3–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.1% | 18.9–25.6 |
| Food insecurity in the past 12 months among adults | 11.0% | 9.2–13.0 |
| Received food stamps in the past 12 months among adults | 8.0% | 6.6–9.6 |
| Housing insecurity in the past 12 months among adults | 8.6% | 7.2–10.1 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 6.0–7.9 |
| Loneliness among adults | 30.3% | 25.7–35.1 |
| Utility services shut-off threat in the past 12 months among adults | 6.3% | 5.4–7.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.9% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 12.2% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 1.4% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 22.6% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 0.3% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 3.4% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 85.4% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 17.8% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 81.3% | 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 | 0.5% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 67.6% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 27.9% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 45.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $80,500 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $411,700 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $1,185 | $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 | 80.4 yr ± 1.54 | 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 1.54 years of 80.4, 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