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ZipVitals

ZIP code

59106

in Billings, MontanaPopulation 21,417

61.06/ 100

Ranked #4,094 of 32,066 US ZIPs (top 12.8%)

Ranked #7 of 341 Montana ZIPs (top 2.1%)

Ranked #1 of 30 Billings, MT ZIPs (top 3.4%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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

20.8%

in the top 3.7% nationally

Lower is healthier

ST88th
US96th
Definition & 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 ›

Food insecurity

7.2%

in the bottom 4.3% nationally

Lower is healthier

ST1st
US4th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

Housing insecurity

6.5%

in the bottom 4.4% nationally

Lower is healthier

ST5th
US4th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Fine-particle (PM2.5) exceedance

1.9%

in the top 4.6% nationally

Lower is healthier

ST54th
US95th
Definition & 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 ›

Natural-disaster risk

in the top 6.3% nationally

Lower is healthier

ST94th
US94th
Definition & source ›

This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.

Full methodology ›

Utility shut-off threat

4.4%

in the bottom 6.6% nationally

Lower is healthier

ST2nd
US7th
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Median household income

$125,833

in the top 8.0% nationally

Higher is healthier

ST98th
US92nd
Definition & source ›

The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.

Full methodology ›

Diabetes

8.1%

in the bottom 4.6% nationally

Lower is healthier

ST3rd
US5th
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

High cholesterol

31.7%

in the bottom 5.9% nationally

Lower is healthier

ST10th
US6th
Definition & source ›

The estimated share of adults with high cholesterol, among those who have ever been screened for it.

Full methodology ›

Lack of transportation

5.1%

in the bottom 8.7% nationally

Lower is healthier

ST2nd
US9th
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

The read

By its overall health score, ZIP 59106, one of several in Billings, Montana lands in the top 12.8% healthiest ZIPs nationally (4,094th) and the top 2.1% of Montana (7th).

continue reading

Taken together, the profile's clearest strengths surface right away: modeled food insecurity resides in the bottom 4.3% nationally, and housing insecurity lands in the bottom 4.4% nationally. Modeled utility shutoff registers in the bottom 6.6% nationally, and household income sits in the top 8.0% nationally. Modeled diabetes rests in the bottom 4.6% nationally, high cholesterol is in the bottom 5.9% nationally, and transportation stands in the bottom 8.7% nationally. Against that, modeled binge drinking settles in the top 3.7% nationally, fine-particle lies in the top 4.6% nationally, and disaster risk resides in the top 6.3% nationally.

Weighed against the ZIPs nearby, park land runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. This ZIP stands out as the strongest overall among its immediate neighbors.

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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 88%

21%

Social Need / SDOH

healthier than 90%

16%

Preventive Care

healthier than 65%

13%

Risk Behavior

healthier than 76%

11%

Disability

healthier than 90%

7%

Climate / Disaster Risk

healthier than 88%

5%

Healthcare Access

healthier than 79%

5%

About typical

Mental Health

healthier than 43%

8%

Holding it back

Environmental Hazard

healthier than 14%

14%

Lifting this score

Chronic Disease Burden

healthier than 94%

21%

Social Need / SDOH

healthier than 96%

16%

Preventive Care

healthier than 85%

13%

Risk Behavior

healthier than 67%

11%

Disability

healthier than 98%

7%

Healthcare Access

healthier than 89%

5%

Holding it back

Environmental Hazard

healthier than 28%

14%

Mental Health

healthier than 34%

8%

Climate / Disaster Risk

healthier than 24%

5%

Lifting this score

Chronic Disease Burden

healthier than 96%

21%

Social Need / SDOH

healthier than 96%

16%

Preventive Care

healthier than 89%

13%

Risk Behavior

healthier than 85%

11%

Disability

in the top 0.00%

7%

Healthcare Access

healthier than 89%

5%

About typical

Mental Health

healthier than 41%

8%

Holding it back

Environmental Hazard

healthier than 15%

14%

Climate / Disaster Risk

healthier than 37%

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 14.4; chronic-disease standing 87.8 — 73 points apart, heavier on the environment than it is on chronic illness.

    Ranked #16,690 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.

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
MeasureCrude prevalence95% CI
Arthritis among adults25.9%23.6–28.2
High blood pressure among adults29.5%26.8–32.1
Cancer (non-skin) or melanoma among adults9.5%8.7–10.4
Current asthma among adults10.2%9.1–11.3
Coronary heart disease among adults5.0%4.5–5.6
Chronic obstructive pulmonary disease among adults4.8%4.2–5.5
Depression among adults25.9%23.1–28.7
Diagnosed diabetes among adults8.1%7.1–9.2
High cholesterol among adults who have ever been screened31.7%28.8–34.5
Obesity among adults31.1%27.2–34.9
Stroke among adults2.7%2.4–2.9
All teeth lost among adults aged >=65 years6.5%5.2–7.9
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years6.3%5.3–7.4
Taking medicine to control high blood pressure among adults with high blood pressure72.8%69.7–75.5
Visits to doctor for routine checkup within the past year among adults76.0%73.0–78.7
Cholesterol screening among adults86.3%84.6–87.9
Colorectal cancer screening among adults aged 45–75 years68.4%64.8–71.9
Visited dentist or dental clinic in the past year among adults70.1%67.4–72.8
Mammography use among women aged 50-74 years80.3%74.9–85.0
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults20.8%18.2–23.6
Current cigarette smoking among adults10.4%8.9–12.1
No leisure-time physical activity among adults16.3%14.0–18.7
Short sleep duration among adults31.9%28.4–35.7
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults13.9%12.2–15.7
Frequent mental distress among adults15.5%13.9–17.1
Frequent physical distress among adults11.5%10.2–12.8
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults11.8%10.5–13.2
Any disability among adults26.0%23.3–28.8
Hearing disability among adults6.8%6.1–7.6
Independent living disability among adults5.9%5.2–6.6
Mobility disability among adults9.6%8.4–10.9
Self-care disability among adults2.5%2.2–2.7
Vision disability among adults3.0%2.7–3.3
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults20.0%17.6–22.5
Food insecurity in the past 12 months among adults7.2%6.1–8.5
Received food stamps in the past 12 months among adults4.3%3.6–5.1
Housing insecurity in the past 12 months among adults6.5%5.5–7.6
Lack of reliable transportation in the past 12 months among adults5.1%4.4–5.8
Loneliness among adults29.5%26.3–32.7
Utility services shut-off threat in the past 12 months among adults4.4%3.8–5.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MT median (p10–p90)
Poverty rate3.3%10.6% (3.1–25.8%) n=32,3649.7% (1.9–27.5%) n=360
Uninsured 18–645.3%9.0% (1.5–24.3%) n=32,28611.1% (0.0–33.1%) n=357
No HS diploma (25+)1.8%7.9% (1.8–20.7%) n=32,5054.7% (0.0–14.1%) n=360
Bachelor's or higher (25+)52.2%23.3% (9.2–53.6%) n=32,50526.6% (12.3–46.1%) n=360
Unemployment rate (16+)1.8%3.9% (0.0–9.8%) n=32,2741.8% (0.0–10.2%) n=357
Households without a vehicle4.5%3.9% (0.0–12.5%) n=32,3221.7% (0.0–9.5%) n=360
Broadband subscription90.5%89.3% (75.1–97.1%) n=32,32287.3% (72.1–100.0%) n=360
Housing cost burden (≥30% income)17.6%23.7% (10.6–40.0%) n=32,32221.1% (7.3–37.2%) n=360
Homeownership rate79.3%78.7% (51.7–94.0%) n=32,32278.0% (56.9–95.8%) n=360
Crowded housing (>1 per room)2.4%1.3% (0.0–6.3%) n=32,3220.9% (0.0–6.6%) n=360
Foreign-born population2.5%2.6% (0.0–18.6%) n=32,5530.9% (0.0–4.9%) n=360
Single-parent households53.6%53.6% (37.3–74.1%) n=32,08761.3% (39.9–84.5%) n=356
Population 65+18.0%19.4% (10.8–33.6%) n=32,55324.0% (12.9–44.0%) n=360
Median age39.0 yr42.2 yr (33.0–56.3) n=32,29246.0 yr (32.9–62.3) n=358
Median household income$125,833$72,070 ($46,039–$118,707) n=30,318$66,875 ($44,980–$95,192) n=321
Median home value$496,500$222,200 ($100,300–$579,820) n=30,049$292,450 ($127,430–$548,550) n=312
Median gross rent$1,545$1,021 ($677–$1,912) n=25,670$877 ($544–$1,329) n=213
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)MT median (p10–p90)
Life expectancy at birth80.9 yr ± 0.7778.9 yr (74.7–82.8) n=31,30879.7 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 0.77 years of 80.9, and it’s very unlikely to be off by more than twice that.

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