ZIP code
59920
in Kila, MontanaPopulation 1,704
51.88/ 100
Ranked #13,606 of 32,066 US ZIPs (top 42%)
Ranked #118 of 341 Montana ZIPs (top 35%)
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.
Fatal road crashes
64.6 per 100,000 residents per year
in the top 1.8% nationally
Lower is healthier
ST92ndUS98thDefinition & 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 ›Fine-particle (PM2.5) exceedance
3.2%
in the top 2.1% nationally
Lower is healthier
ST76thUS98thDefinition & 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
7.9%
in the bottom 4.8% nationally
Lower is healthier
ST5thUS5thDefinition & 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 ›Park land
27.9%
in the top 5.1% nationally
Higher is healthier
ST81stUS95thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Humid extreme heat
8.5 days/year
in the bottom 5.6% nationally
Lower is healthier
ST54thUS6thDefinition & 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 ›Tree cover
76.1%
in the top 6.5% nationally
Higher is healthier
ST95thUS94thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Crowded housing
8.1%
in the top 6.6% nationally
Lower is healthier
ST93rdUS93rdDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Poverty rate
2.0%
in the bottom 6.8% nationally
Lower is healthier
ST10thUS7thDefinition & 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
95.6%
in the top 7.9% nationally
Higher is healthier
ST90thUS92ndDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Floodplain exposure
0.52%
in the bottom 9.8% nationally
Lower is healthier
ST34thUS10thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›The read
On the composite measure, Kila, Montana (ZIP 59920) stands in the top 42% healthiest ZIPs nationally (13,606th) and the top 35% of Montana (118th).
Several signals sit on each side of the ledger here: modeled pfas lands in the bottom 4.8% nationally, and park land settles in the top 5.1% nationally. Modeled humid heat rests in the bottom 5.6% nationally, and tree cover lands in the top 6.5% nationally. Poverty settles in the bottom 6.8% nationally, and homeownership rests in the top 7.9% nationally. Households without a vehicle lands at the national minimum, shared with about 16% of ZIPs. Working the other way, fatal road crashes settles in the top 1.8% nationally, modeled fine-particle rests in the top 2.1% nationally, and crowded housing lands in the top 6.6% nationally.
Set beside the wider area around it, park land runs far higher than the surrounding ZIPs on this measure. For clarity, 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. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. ZIP 59901, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Risk Behavior
healthier than 66%
11%
Climate / Disaster Risk
healthier than 99%
5%
About typical
Chronic Disease Burden
healthier than 57%
21%
Social Need / SDOH
healthier than 53%
16%
Mental Health
healthier than 53%
8%
Disability
healthier than 57%
7%
Holding it back
Environmental Hazard
healthier than 15%
14%
Preventive Care
healthier than 31%
13%
Healthcare Access
healthier than 29%
5%
Lifting this score
Chronic Disease Burden
healthier than 66%
21%
Disability
healthier than 61%
7%
Climate / Disaster Risk
healthier than 74%
5%
Healthcare Access
healthier than 69%
5%
About typical
Social Need / SDOH
healthier than 50%
16%
Risk Behavior
healthier than 44%
11%
Mental Health
healthier than 51%
8%
Holding it back
Environmental Hazard
healthier than 29%
14%
Preventive Care
healthier than 38%
13%
“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
59845
Montanashares a border
Score 32.43
Closest healthier
59901
Montanashares a border
Score 52.96
Similar health profile
59063
Montana97% similar profile
Score 51.53
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 | 31.5% | 28.6–34.5 |
| High blood pressure among adults | 33.8% | 30.6–37.1 |
| Cancer (non-skin) or melanoma among adults | 10.2% | 9.3–11.2 |
| Current asthma among adults | 11.0% | 9.8–12.4 |
| Coronary heart disease among adults | 7.0% | 6.2–7.9 |
| Chronic obstructive pulmonary disease among adults | 8.2% | 7.1–9.5 |
| Depression among adults | 23.8% | 20.9–26.8 |
| Diagnosed diabetes among adults | 10.7% | 9.2–12.3 |
| High cholesterol among adults who have ever been screened | 35.2% | 31.9–38.6 |
| Obesity among adults | 33.0% | 28.6–37.6 |
| Stroke among adults | 3.8% | 3.4–4.2 |
| All teeth lost among adults aged >=65 years | 12.6% | 10.3–15.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.3% | 7.6–11.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.8% | 71.3–77.9 |
| Visits to doctor for routine checkup within the past year among adults | 72.2% | 69.0–75.4 |
| Cholesterol screening among adults | 84.9% | 82.9–86.7 |
| Colorectal cancer screening among adults aged 45–75 years | 66.6% | 62.6–70.6 |
| Visited dentist or dental clinic in the past year among adults | 66.3% | 63.2–69.2 |
| Mammography use among women aged 50-74 years | 74.3% | 68.1–80.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.9% | 16.4–21.7 |
| Current cigarette smoking among adults | 14.9% | 12.5–17.6 |
| No leisure-time physical activity among adults | 21.2% | 17.9–24.7 |
| Short sleep duration among adults | 30.6% | 26.8–34.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.7% | 17.1–22.6 |
| Frequent mental distress among adults | 15.9% | 14.0–17.8 |
| Frequent physical distress among adults | 15.1% | 13.3–17.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.7% | 11.9–15.6 |
| Any disability among adults | 31.6% | 28.0–35.3 |
| Hearing disability among adults | 8.7% | 7.8–9.8 |
| Independent living disability among adults | 7.9% | 6.8–9.0 |
| Mobility disability among adults | 13.9% | 12.0–16.0 |
| Self-care disability among adults | 3.9% | 3.4–4.4 |
| Vision disability among adults | 4.6% | 4.1–5.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.5% | 18.7–24.6 |
| Food insecurity in the past 12 months among adults | 11.4% | 9.4–13.5 |
| Received food stamps in the past 12 months among adults | 8.2% | 6.7–9.9 |
| Housing insecurity in the past 12 months among adults | 9.1% | 7.7–10.7 |
| Lack of reliable transportation in the past 12 months among adults | 7.0% | 6.0–8.0 |
| Loneliness among adults | 28.5% | 25.0–32.2 |
| Utility services shut-off threat in the past 12 months among adults | 6.4% | 5.5–7.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.0% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 27.8% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 5.3% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 27.1% | 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 | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 92.4% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 25.2% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 95.6% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 8.1% | 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 | 44.3% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 18.2% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 44.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $86,605 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $722,500 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $973 | $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 | 83.0 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 83.0, 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