ZIP code
59741
in Manhattan, MontanaPopulation 5,748
57.78/ 100
Ranked #6,580 of 32,066 US ZIPs (top 21%)
Ranked #19 of 341 Montana ZIPs (top 5.6%)
Ranked #7 of 10 Bozeman, MT ZIPs (bottom 30%)
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.
Binge drinking
21.1%
in the top 3.1% nationally
Lower is healthier
ST91stUS97thDefinition & 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 ›Obesity
24.6%
in the bottom 5.0% nationally
Lower is healthier
ST1stUS5thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Arsenic in groundwater
23.5%
in the top 4.9% nationally
Lower is healthier
ST98thUS95thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms 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 ›Industrial-pollution burden
in the bottom 5.4% nationally
Lower is healthier
ST30thUS5thDefinition & 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 ›Fine-particle (PM2.5) exceedance
1.4%
in the top 6.4% 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 ›Air-toxics cancer risk
19.2 per million
in the bottom 7.2% nationally
Lower is healthier
ST70thUS7thDefinition & 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 ›High cholesterol
31.5%
in the bottom 5.5% nationally
Lower is healthier
ST9thUS5thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Short sleep
29.8%
in the bottom 8.8% nationally
Lower is healthier
ST25thUS9thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Humid extreme heat
12.6 days/year
in the bottom 9.5% nationally
Lower is healthier
ST76thUS9thDefinition & 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
8.5%
in the bottom 6.1% nationally
Lower is healthier
ST4thUS6thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›The read
Manhattan, Montana (ZIP 59741), on the composite measure, lands in the top 21% healthiest ZIPs nationally (6,580th) and the top 5.6% of Montana (19th).
Reading across the measures, this area's clearest strengths come through: modeled obesity resides in the bottom 5.0% nationally, industrial-pollution burden lies in the bottom 5.4% nationally, and air-toxics cancer risk settles in the bottom 7.2% nationally. Modeled high cholesterol stands in the bottom 5.5% nationally, short sleep is in the bottom 8.8% nationally, and humid heat rests in the bottom 9.5% nationally. Modeled diabetes sits in the bottom 6.1% nationally. By contrast, modeled binge drinking registers in the top 3.1% nationally, and arsenic lands in the top 4.9% nationally. Modeled fine-particle resides in the top 6.4% nationally.
Set against the neighboring ZIPs, park land runs far lower than the surrounding ZIPs on this measure. In everyday language, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. A healthier neighbor overall sits at ZIP 59714, 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 Bozeman, 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 84%
21%
Social Need / SDOH
healthier than 73%
16%
Risk Behavior
healthier than 78%
11%
Mental Health
healthier than 64%
8%
Disability
healthier than 81%
7%
Climate / Disaster Risk
healthier than 92%
5%
Holding it back
Environmental Hazard
healthier than 20%
14%
Preventive Care
healthier than 25%
13%
Healthcare Access
healthier than 31%
5%
Lifting this score
Chronic Disease Burden
healthier than 91%
21%
Social Need / SDOH
healthier than 75%
16%
Risk Behavior
healthier than 72%
11%
Mental Health
healthier than 66%
8%
Disability
healthier than 94%
7%
Healthcare Access
healthier than 70%
5%
Holding it back
Environmental Hazard
healthier than 38%
14%
Preventive Care
healthier than 27%
13%
Climate / Disaster Risk
healthier than 31%
5%
Lifting this score
Preventive Care
healthier than 63%
13%
Healthcare Access
healthier than 63%
5%
About typical
Risk Behavior
healthier than 50%
11%
Mental Health
healthier than 50%
8%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Social Need / SDOH
healthier than 38%
16%
Environmental Hazard
in the bottom 0.00%
14%
Disability
healthier than 38%
7%
Climate / Disaster Risk
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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 19.9; chronic-disease standing 84.0 — 64 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,810 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
59714
Montanashares a border
Score 59.47
Closest healthier
59718
Montanashares a border
Score 62.32
Similar health profile
96148
California98% similar profile
Score 60.92
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 | 27.5% | 24.8–30.2 |
| High blood pressure among adults | 29.0% | 26.0–32.0 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.5–10.2 |
| Current asthma among adults | 11.1% | 9.8–12.4 |
| Coronary heart disease among adults | 5.6% | 5.0–6.3 |
| Chronic obstructive pulmonary disease among adults | 5.8% | 5.1–6.7 |
| Depression among adults | 22.1% | 19.3–25.0 |
| Diagnosed diabetes among adults | 8.5% | 7.3–9.8 |
| High cholesterol among adults who have ever been screened | 31.5% | 28.5–34.8 |
| Obesity among adults | 24.6% | 20.8–28.7 |
| Stroke among adults | 3.0% | 2.7–3.3 |
| All teeth lost among adults aged >=65 years | 10.8% | 8.8–13.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.1% | 6.7–9.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 72.0% | 68.5–75.0 |
| Visits to doctor for routine checkup within the past year among adults | 71.3% | 67.9–74.5 |
| Cholesterol screening among adults | 84.3% | 82.3–86.0 |
| Colorectal cancer screening among adults aged 45–75 years | 65.7% | 61.7–69.8 |
| Visited dentist or dental clinic in the past year among adults | 65.9% | 62.8–69.0 |
| Mammography use among women aged 50-74 years | 73.4% | 66.8–79.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.1% | 18.3–24.1 |
| Current cigarette smoking among adults | 11.4% | 9.5–13.4 |
| No leisure-time physical activity among adults | 15.9% | 13.4–18.8 |
| Short sleep duration among adults | 29.8% | 26.1–33.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.7% | 12.9–16.9 |
| Frequent mental distress among adults | 16.0% | 14.2–17.9 |
| Frequent physical distress among adults | 12.6% | 11.1–14.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.6% | 11.0–14.3 |
| Any disability among adults | 26.4% | 23.2–29.8 |
| Hearing disability among adults | 7.5% | 6.6–8.4 |
| Independent living disability among adults | 6.7% | 5.9–7.6 |
| Mobility disability among adults | 10.3% | 8.9–11.8 |
| Self-care disability among adults | 2.9% | 2.6–3.3 |
| Vision disability among adults | 3.7% | 3.3–4.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.4% | 16.8–22.2 |
| Food insecurity in the past 12 months among adults | 8.5% | 7.1–10.1 |
| Received food stamps in the past 12 months among adults | 5.7% | 4.7–7.0 |
| Housing insecurity in the past 12 months among adults | 7.4% | 6.2–8.7 |
| Lack of reliable transportation in the past 12 months among adults | 6.1% | 5.3–7.0 |
| Loneliness among adults | 29.7% | 26.2–33.4 |
| Utility services shut-off threat in the past 12 months among adults | 5.4% | 4.6–6.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.0% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 19.2% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 1.0% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 38.3% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 0.4% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 1.5% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 90.6% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 27.0% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 81.4% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 2.2% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 1.6% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 52.1% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 19.6% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 42.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $90,947 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $615,200 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $1,703 | $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 | 79.8 yr ± 1.44 | 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 1.44 years of 79.8, 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