ZIP code
59013
in Boyd, MontanaPopulation 199
53.29/ 100
Ranked #11,641 of 32,066 US ZIPs (top 36%)
Ranked #81 of 341 Montana ZIPs (top 24%)
Ranked #12 of 30 Billings, MT ZIPs (top 40%)
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.
Median household income
$200,125
in the top 1.1% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Binge drinking
21.3%
in the top 2.7% nationally
Lower is healthier
ST92ndUS97thDefinition & 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 ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Air-toxics cancer risk
10 per million
in the bottom 2.8% nationally
Lower is healthier
ST1stUS3rdDefinition & 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 ›Distance to a nursing home
13.8 mi
in the top 6.3% nationally
Lower is healthier
ST56thUS94thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Housing-cost burden
6.9%
in the bottom 6.4% nationally
Lower is healthier
ST10thUS6thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Fine-particle (PM2.5) exceedance
1.3%
in the top 7.5% nationally
Lower is healthier
ST36thUS93rdDefinition & 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 ›Floodplain exposure
34.5%
in the top 8.1% nationally
Lower is healthier
ST98thUS92ndDefinition & 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 ›Poverty rate
2.5%
in the bottom 8.2% nationally
Lower is healthier
ST13thUS8thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›The read
By the composite health measure, Boyd, Montana (ZIP 59013) ranks in the top 36% healthiest ZIPs nationally (11,641st) and the top 24% of Montana (81st).
A number of measures pull each way for this area: household income sits in the top 1.1% nationally, and homeownership is at the national maximum. Home broadband subscription settles at the national maximum, and modeled air-toxics cancer risk resides in the bottom 2.8% nationally. Housing-cost burden registers in the bottom 6.4% nationally. Unemployment rests at the national minimum, shared with about 15% of ZIPs. Households without a vehicle stands at the national minimum, shared with about 16% of ZIPs. Set against that, modeled binge drinking lies in the top 2.7% nationally, distance to a nursing home lands in the top 6.3% nationally, and modeled fine-particle sits in the top 7.5% nationally.
To spell things out, 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. Close by, ZIP 59019, about 3.6 miles away, ranks healthier 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
Chronic Disease Burden
healthier than 62%
21%
Social Need / SDOH
healthier than 78%
16%
Environmental Hazard
healthier than 91%
14%
Mental Health
healthier than 63%
8%
Disability
healthier than 67%
7%
About typical
Risk Behavior
healthier than 59%
11%
Holding it back
Preventive Care
healthier than 20%
13%
Climate / Disaster Risk
healthier than 26%
5%
Healthcare Access
healthier than 24%
5%
Lifting this score
Chronic Disease Burden
healthier than 73%
21%
Social Need / SDOH
healthier than 83%
16%
Environmental Hazard
healthier than 94%
14%
Mental Health
healthier than 65%
8%
Disability
healthier than 78%
7%
Healthcare Access
healthier than 63%
5%
Holding it back
Preventive Care
healthier than 20%
13%
Risk Behavior
healthier than 35%
11%
Climate / Disaster Risk
healthier than 2%
5%
Lifting this score
Chronic Disease Burden
healthier than 67%
21%
Social Need / SDOH
healthier than 85%
16%
Environmental Hazard
in the top 0.00%
14%
Mental Health
healthier than 69%
8%
Disability
healthier than 85%
7%
About typical
Risk Behavior
healthier than 48%
11%
Healthcare Access
healthier than 48%
5%
Holding it back
Preventive Care
healthier than 7%
13%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
59041
Montanashares a border
Score 49.98
Closest healthier
59019
Montanaabout 3.6 mi away
Score 54.42
Similar health profile
99824
Alaska94% similar profile
Score 58.89
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 | 31.0% | 27.8–34.7 |
| High blood pressure among adults | 37.6% | 33.6–41.9 |
| Cancer (non-skin) or melanoma among adults | 10.3% | 9.2–11.4 |
| Current asthma among adults | 10.6% | 9.3–12.0 |
| Coronary heart disease among adults | 7.0% | 6.0–8.1 |
| Chronic obstructive pulmonary disease among adults | 7.3% | 5.9–8.8 |
| Depression among adults | 22.7% | 19.4–26.5 |
| Diagnosed diabetes among adults | 10.8% | 9.2–12.7 |
| High cholesterol among adults who have ever been screened | 35.6% | 31.8–40.0 |
| Obesity among adults | 32.3% | 26.2–39.8 |
| Stroke among adults | 3.6% | 3.1–4.1 |
| All teeth lost among adults aged >=65 years | 8.2% | 6.5–10.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.0% | 6.9–11.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.0% | 71.6–78.3 |
| Visits to doctor for routine checkup within the past year among adults | 72.5% | 68.5–76.3 |
| Cholesterol screening among adults | 83.7% | 81.3–85.7 |
| Colorectal cancer screening among adults aged 45–75 years | 64.0% | 58.8–69.0 |
| Visited dentist or dental clinic in the past year among adults | 67.1% | 63.7–70.5 |
| Mammography use among women aged 50-74 years | 69.0% | 60.1–77.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.3% | 17.9–25.2 |
| Current cigarette smoking among adults | 13.0% | 10.2–16.0 |
| No leisure-time physical activity among adults | 20.5% | 16.5–25.0 |
| Short sleep duration among adults | 30.9% | 25.2–36.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.8% | 14.8–21.3 |
| Frequent mental distress among adults | 15.6% | 13.6–17.8 |
| Frequent physical distress among adults | 13.8% | 11.9–16.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.2% | 11.2–15.6 |
| Any disability among adults | 30.1% | 25.6–34.9 |
| Hearing disability among adults | 8.6% | 7.5–9.9 |
| Independent living disability among adults | 7.2% | 6.1–8.5 |
| Mobility disability among adults | 12.8% | 10.6–15.4 |
| Self-care disability among adults | 3.4% | 2.9–4.1 |
| Vision disability among adults | 4.2% | 3.6–5.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.3% | 18.0–25.3 |
| Food insecurity in the past 12 months among adults | 9.3% | 7.2–11.6 |
| Received food stamps in the past 12 months among adults | 6.0% | 4.6–7.7 |
| Housing insecurity in the past 12 months among adults | 7.2% | 5.8–8.8 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 5.2–7.3 |
| Loneliness among adults | 30.1% | 25.6–35.1 |
| Utility services shut-off threat in the past 12 months among adults | 5.1% | 4.2–6.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.5% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 36.9% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 0.0% | 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 | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 6.9% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 100.0% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 46.3% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 8.5% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 43.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $200,125 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $540,700 | $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 | 80.5 yr ± 1.66 | 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 1.66 years of 80.5, 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