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ZipVitals

ZIP code

59066

in Pryor, MontanaPopulation 539

31.79/ 100

Ranked #30,366 of 32,066 US ZIPs (bottom 5.4%)

Ranked #325 of 341 Montana ZIPs (bottom 4.7%)

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

Broad coverage across 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.

Energy-cost burden

6.9%

in the top 1.2% nationally

Lower is healthier

ST91st
US99th
Definition & source ›

The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.

A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.

Full methodology ›

Unemployment rate

20.5%

in the top 2.0% nationally

Lower is healthier

ST97th
US98th
Definition & source ›

The share of the civilian labor force that is unemployed.

Full methodology ›

Mammography

65.3%

in the bottom 3.2% nationally

Higher is healthier

ST3rd
US3rd
Definition & source ›

The estimated share of women aged 50–74 who had a mammogram within the past two years.

Full methodology ›

Colon-cancer screening

53.9%

in the bottom 4.0% nationally

Higher is healthier

ST3rd
US4th
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Air-toxics cancer risk

10 per million

in the bottom 2.8% nationally

Lower is healthier

ST1st
US3rd
Definition & 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 ›

Lack of transportation

18.7%

in the top 2.9% nationally

Lower is healthier

ST96th
US97th
Definition & source ›

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

Full methodology ›

Walkability

1.2 intersections/sq mi

in the bottom 3.4% nationally

Higher is healthier

ST46th
US3rd
Definition & source ›

The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.

Full methodology ›

Crowded housing

11.3%

in the top 3.8% nationally

Lower is healthier

ST96th
US96th
Definition & source ›

The share of occupied homes with more than one person per room, the Census definition of crowded housing.

Full methodology ›

Distance to an emergency room

22.5 mi

in the top 4.1% nationally

Lower is healthier

ST86th
US96th
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.

Full methodology ›

High cholesterol

30.2%

in the bottom 3.6% nationally

Lower is healthier

ST5th
US4th
Definition & source ›

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

Full methodology ›

Cross-source signals

Health need and barriers to care documented here

On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.

These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.

Health need documented here

  • People living in poverty
  • Food insecurity
  • Housing insecurity

Barriers to reaching care

  • Distance to the nearest emergency room
  • Thin local supply of doctors
  • Thin local supply of pharmacies

A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.

See the full care-deserts analysis →

The read

By the composite measure, Pryor, Montana (ZIP 59066) sits in the bottom 5.4% nationally (30,366th) and the bottom 4.7% of Montana (325th), based on limited data; treat as directional.

continue reading

Where the data speaks clearest about this place, it leads: modeled energy burden lies in the top 1.2% nationally, unemployment settles in the top 2.0% nationally, and modeled mammography stands in the bottom 3.2% nationally. Modeled colon screening is in the bottom 4.0% nationally, modeled transportation rests in the top 2.9% nationally, and walkability sits in the bottom 3.4% nationally. Crowded housing registers in the top 3.8% nationally, and distance to an emergency room lands in the top 4.1% nationally. Better still, modeled air-toxics cancer risk resides in the bottom 2.8% nationally, and high cholesterol lies in the bottom 3.6% nationally.

In plain language, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Energy burden is the share of household income that goes to home energy bills. ZIP 59014, just across the boundary, ranks healthier overall. This ZIP also shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.

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.

Compare within

Lifting this score

Environmental Hazard

healthier than 94%

14%

Climate / Disaster RiskPartial

healthier than 94%

5%

Holding it back

Chronic Disease Burden

healthier than 31%

21%

Social Need / SDOH

in the bottom 0.5%

16%

Preventive Care

healthier than 3%

13%

Risk Behavior

healthier than 5%

11%

Mental Health

healthier than 9%

8%

Disability

healthier than 8%

7%

Healthcare Access

healthier than 8%

5%

Lifting this score

Environmental Hazard

healthier than 96%

14%

Holding it back

Chronic Disease Burden

healthier than 27%

21%

Social Need / SDOH

in the bottom 0.5%

16%

Preventive Care

healthier than 2%

13%

Risk Behavior

healthier than 2%

11%

Mental Health

healthier than 5%

8%

Disability

healthier than 4%

7%

Climate / Disaster RiskPartial

healthier than 39%

5%

Healthcare Access

healthier than 39%

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.

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 adults27.0%24.1–29.9
High blood pressure among adults35.5%31.9–39.1
Cancer (non-skin) or melanoma among adults6.8%6.1–7.5
Current asthma among adults14.2%12.7–16.0
Coronary heart disease among adults8.1%7.2–9.0
Chronic obstructive pulmonary disease among adults9.3%8.0–10.6
Depression among adults24.6%21.2–28.2
Diagnosed diabetes among adults15.3%13.3–17.4
High cholesterol among adults who have ever been screened30.2%26.8–33.7
Obesity among adults36.3%30.4–42.4
Stroke among adults5.0%4.4–5.5
All teeth lost among adults aged >=65 years25.2%21.1–29.4
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years12.7%10.0–16.2
Taking medicine to control high blood pressure among adults with high blood pressure71.4%68.2–74.5
Visits to doctor for routine checkup within the past year among adults69.7%65.6–73.8
Cholesterol screening among adults77.1%74.2–80.1
Colorectal cancer screening among adults aged 45–75 years53.9%49.0–58.5
Visited dentist or dental clinic in the past year among adults49.5%45.7–53.2
Mammography use among women aged 50-74 years65.3%57.1–72.4
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults18.3%15.3–21.8
Current cigarette smoking among adults25.7%21.8–29.8
No leisure-time physical activity among adults27.3%22.9–32.2
Short sleep duration among adults38.3%32.8–43.6
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults28.8%25.1–32.8
Frequent mental distress among adults22.5%19.9–25.2
Frequent physical distress among adults19.0%16.7–21.5
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults20.3%17.7–23.1
Any disability among adults39.6%35.0–44.5
Hearing disability among adults11.3%10.0–12.6
Independent living disability among adults12.9%11.3–14.7
Mobility disability among adults18.7%16.2–21.4
Self-care disability among adults5.8%5.1–6.6
Vision disability among adults9.3%8.1–10.5
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults29.1%24.8–33.1
Food insecurity in the past 12 months among adults29.5%24.4–34.5
Received food stamps in the past 12 months among adults21.6%17.4–25.8
Housing insecurity in the past 12 months among adults21.6%18.0–25.0
Lack of reliable transportation in the past 12 months among adults18.7%16.0–21.5
Loneliness among adults37.6%32.6–42.2
Utility services shut-off threat in the past 12 months among adults16.7%14.2–19.3
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MT median (p10–p90)
Poverty rate34.0%10.6% (3.1–25.8%) n=32,3649.7% (1.9–27.5%) n=360
Uninsured 18–6441.7%9.0% (1.5–24.3%) n=32,28611.1% (0.0–33.1%) n=357
No HS diploma (25+)6.0%7.9% (1.8–20.7%) n=32,5054.7% (0.0–14.1%) n=360
Bachelor's or higher (25+)10.6%23.3% (9.2–53.6%) n=32,50526.6% (12.3–46.1%) n=360
Unemployment rate (16+)20.5%3.9% (0.0–9.8%) n=32,2741.8% (0.0–10.2%) n=357
Households without a vehicle2.8%3.9% (0.0–12.5%) n=32,3221.7% (0.0–9.5%) n=360
Broadband subscription79.6%89.3% (75.1–97.1%) n=32,32287.3% (72.1–100.0%) n=360
Housing cost burden (≥30% income)23.2%23.7% (10.6–40.0%) n=32,32221.1% (7.3–37.2%) n=360
Homeownership rate76.1%78.7% (51.7–94.0%) n=32,32278.0% (56.9–95.8%) n=360
Crowded housing (>1 per room)11.3%1.3% (0.0–6.3%) n=32,3220.9% (0.0–6.6%) n=360
Foreign-born population0.9%2.6% (0.0–18.6%) n=32,5530.9% (0.0–4.9%) n=360
Single-parent households52.5%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 age31.7 yr42.2 yr (33.0–56.3) n=32,29246.0 yr (32.9–62.3) n=358
Median household income$52,000$72,070 ($46,039–$118,707) n=30,318$66,875 ($44,980–$95,192) n=321
Median home value$95,700$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
MeasureValueUS median (p10–p90)MT median (p10–p90)
Life expectancy at birth79.0 yr ± 3.4378.9 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 3.43 years of 79.0, 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