ZIP code
59440
in Floweree, MontanaPopulation 432
48.28/ 100
Ranked #18,573 of 32,066 US ZIPs (bottom 42%)
Ranked #195 of 341 Montana ZIPs (bottom 43%)
Ranked #8 of 17 Great Falls, MT ZIPs (top 47%)
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.
Walkability
0.91 intersections/sq mi
in the bottom 2.3% nationally
Higher is healthier
ST32ndUS2ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Slow internet speeds
3.1%
in the top 3.8% nationally
Lower is healthier
ST83rdUS96thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Binge drinking
20.6%
in the top 4.2% nationally
Lower is healthier
ST87thUS96thDefinition & 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 ›Humid extreme heat
7.9 days/year
in the bottom 5.1% nationally
Lower is healthier
ST49thUS5thDefinition & 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 ›Air-toxics cancer risk
10.4 per million
in the bottom 5.3% nationally
Lower is healthier
ST58thUS5thDefinition & 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 ›Housing-cost burden
5.7%
in the bottom 5.5% nationally
Lower is healthier
ST8thUS5thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Home broadband subscription
99%
in the top 6.0% nationally
Higher is healthier
ST89thUS94thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Fine-particle (PM2.5) exceedance
1.6%
in the top 6.1% nationally
Lower is healthier
ST44thUS94thDefinition & 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 ›Poverty rate
2.3%
in the bottom 7.7% nationally
Lower is healthier
ST12thUS8thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Homeownership rate
56.3%
in the bottom 13.0% nationally
Higher is healthier
ST9thUS13thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›The read
On the composite measure, Floweree, Montana (ZIP 59440) stands in the bottom 42% nationally (18,573rd) and the bottom 43% of Montana (195th), based on limited data; treat as directional.
Several signals sit on each side of the ledger here: modeled humid heat lands in the bottom 5.1% nationally, and air-toxics cancer risk settles in the bottom 5.3% nationally. Housing-cost burden rests in the bottom 5.5% nationally, and home broadband subscription lands in the top 6.0% nationally. Poverty settles in the bottom 7.7% nationally. Households without a vehicle rests at the national minimum, shared with about 16% of ZIPs. Working the other way, walkability lands in the bottom 2.3% nationally, slow internet speeds settles in the top 3.8% nationally, and modeled binge drinking rests in the top 4.2% nationally. Modeled fine-particle lands in the top 6.1% nationally.
Set beside the wider area around it, slow internet speeds runs far higher than the surrounding ZIPs on this measure. For clarity, 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. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. ZIP 59404, just across the boundary, ranks better overall among the ZIPs nearby.
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 Great Falls, 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 RiskPartial
healthier than 97%
5%
About typical
Chronic Disease Burden
healthier than 60%
21%
Social Need / SDOH
healthier than 56%
16%
Environmental Hazard
healthier than 41%
14%
Disability
healthier than 49%
7%
Holding it back
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 30%
11%
Mental Health
healthier than 17%
8%
Healthcare Access
healthier than 35%
5%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
Healthcare Access
healthier than 73%
5%
About typical
Social Need / SDOH
healthier than 55%
16%
Environmental Hazard
healthier than 58%
14%
Disability
healthier than 47%
7%
Climate / Disaster RiskPartial
healthier than 57%
5%
Holding it back
Preventive Care
healthier than 14%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 11%
8%
Lifting this score
Chronic Disease Burden
in the top 0.00%
21%
Environmental Hazard
healthier than 96%
14%
Disability
healthier than 72%
7%
Climate / Disaster RiskPartial
healthier than 72%
5%
About typical
Social Need / SDOH
healthier than 40%
16%
Healthcare Access
healthier than 46%
5%
Holding it back
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
healthier than 20%
11%
Mental Health
healthier than 33%
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
59404
Montanashares a border
Score 52.12
Closest healthier
59420
Montanashares a border
Score 52.40
Similar health profile
30110
Georgia96% similar profile
Score 49.85
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 | 29.0% | 26.6–31.5 |
| High blood pressure among adults | 33.9% | 31.2–36.8 |
| Cancer (non-skin) or melanoma among adults | 8.7% | 8.0–9.5 |
| Current asthma among adults | 11.9% | 10.7–13.1 |
| Coronary heart disease among adults | 7.0% | 6.2–7.8 |
| Chronic obstructive pulmonary disease among adults | 7.4% | 6.3–8.6 |
| Depression among adults | 26.2% | 23.6–29.0 |
| Diagnosed diabetes among adults | 10.2% | 9.0–11.6 |
| High cholesterol among adults who have ever been screened | 34.1% | 31.4–37.0 |
| Obesity among adults | 35.2% | 30.9–40.1 |
| Stroke among adults | 3.6% | 3.1–4.0 |
| All teeth lost among adults aged >=65 years | 13.8% | 11.6–15.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.8% | 7.9–12.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.3% | 70.7–75.9 |
| Visits to doctor for routine checkup within the past year among adults | 72.2% | 69.1–75.1 |
| Cholesterol screening among adults | 81.9% | 79.7–83.9 |
| Colorectal cancer screening among adults aged 45–75 years | 64.2% | 60.6–67.6 |
| Visited dentist or dental clinic in the past year among adults | 61.1% | 58.3–63.8 |
| Mammography use among women aged 50-74 years | 72.0% | 66.1–77.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.6% | 18.2–23.2 |
| Current cigarette smoking among adults | 15.7% | 13.2–18.2 |
| No leisure-time physical activity among adults | 22.7% | 19.4–26.2 |
| Short sleep duration among adults | 35.5% | 31.5–39.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.8% | 17.1–22.5 |
| Frequent mental distress among adults | 19.0% | 17.0–20.9 |
| Frequent physical distress among adults | 15.0% | 13.3–16.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.8% | 13.7–17.8 |
| Any disability among adults | 32.8% | 29.0–36.5 |
| Hearing disability among adults | 9.1% | 8.1–10.1 |
| Independent living disability among adults | 8.5% | 7.3–9.7 |
| Mobility disability among adults | 13.4% | 11.6–15.3 |
| Self-care disability among adults | 3.8% | 3.3–4.3 |
| Vision disability among adults | 4.8% | 4.2–5.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.1% | 20.4–26.1 |
| Food insecurity in the past 12 months among adults | 12.8% | 10.5–15.5 |
| Received food stamps in the past 12 months among adults | 9.0% | 7.1–11.1 |
| Housing insecurity in the past 12 months among adults | 9.9% | 8.3–11.7 |
| Lack of reliable transportation in the past 12 months among adults | 7.9% | 6.7–9.1 |
| Loneliness among adults | 33.6% | 30.1–37.2 |
| Utility services shut-off threat in the past 12 months among adults | 7.0% | 6.0–8.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.3% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 1.9% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 3.5% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 14.4% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 1.7% | 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 | 99.0% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 5.7% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 56.3% | 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 | 0.2% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 62.8% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 7.4% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 46.5 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 | $228,200 | $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 | 78.5 yr ± 1.33 | 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 1.33 years of 78.5, 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