ZIP code
83286
in Weston, IdahoPopulation 1,668
54.06/ 100
Ranked #10,614 of 32,066 US ZIPs (top 33%)
Ranked #75 of 268 Idaho ZIPs (top 28%)
Ranked #19 of 22 Logan, UT-ID ZIPs (bottom 13.7%)
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.
Mammography
67.3%
in the bottom 6.1% nationally
Higher is healthier
ST41stUS6thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Air-toxics cancer risk
12.9 per million
in the bottom 5.9% nationally
Lower is healthier
ST21stUS6thDefinition & 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 ›Nitrate in drinking water
1.1%
in the top 6.4% nationally
Lower is healthier
ST87thUS94thDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams per liter.
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 ›High cholesterol
31.1%
in the bottom 4.7% nationally
Lower is healthier
ST7thUS5thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Poverty rate
2.1%
in the bottom 7.1% nationally
Lower is healthier
ST12thUS7thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Fine-particle (PM2.5) exceedance
1.1%
in the top 8.6% nationally
Lower is healthier
ST34thUS91stDefinition & 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 ›Humid extreme heat
12.4 days/year
in the bottom 9.3% nationally
Lower is healthier
ST42ndUS9thDefinition & 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 ›Diabetes
9.0%
in the bottom 8.8% nationally
Lower is healthier
ST8thUS9thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›The read
Weston, Idaho (ZIP 83286), on the composite measure, lands in the top 33% healthiest ZIPs nationally (10,614th) and the top 28% of Idaho (75th), based on limited data; treat as directional.
Where this area does well, the measures make it plain: modeled air-toxics cancer risk registers in the bottom 5.9% nationally, modeled high cholesterol lands in the bottom 4.7% nationally, and poverty resides in the bottom 7.1% nationally. Modeled humid heat lies in the bottom 9.3% nationally, home broadband subscription settles in the top 11.7% nationally, and modeled diabetes stands in the bottom 8.8% nationally. Against that, modeled mammography is in the bottom 6.1% nationally, and nitrate rests in the top 6.4% nationally. Modeled fine-particle sits in the top 8.6% nationally, and arsenic registers in the top 12.9% nationally.
In everyday language, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. A healthier neighbor overall sits at ZIP 83228, just across the boundary.
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 Logan, UT-ID 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 75%
21%
Environmental Hazard
healthier than 61%
14%
Risk Behavior
healthier than 81%
11%
Climate / Disaster RiskPartial
healthier than 98%
5%
Healthcare Access
healthier than 60%
5%
About typical
Social Need / SDOH
healthier than 45%
16%
Mental Health
healthier than 52%
8%
Disability
healthier than 58%
7%
Holding it back
Preventive Care
healthier than 10%
13%
Lifting this score
Chronic Disease Burden
healthier than 78%
21%
Environmental Hazard
healthier than 93%
14%
Disability
healthier than 83%
7%
Climate / Disaster RiskPartial
healthier than 95%
5%
About typical
Risk Behavior
healthier than 52%
11%
Healthcare Access
healthier than 56%
5%
Holding it back
Social Need / SDOH
healthier than 24%
16%
Preventive Care
healthier than 15%
13%
Mental Health
healthier than 39%
8%
Lifting this score
Environmental Hazard
healthier than 93%
14%
Mental Health
in the top 0.3%
8%
Climate / Disaster RiskPartial
in the top 0.00%
5%
About typical
Healthcare Access
healthier than 60%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
in the bottom 0.00%
16%
Preventive Care
healthier than 13%
13%
Risk Behavior
in the bottom 0.00%
11%
Disability
in the bottom 0.00%
7%
“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
83228
Idahoshares a border
Score 54.28
Closest healthier
84305
Utahshares a border
Score 57.49
Similar health profile
81425
Colorado98% similar profile
Score 52.92
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 | 25.8% | 22.7–29.1 |
| High blood pressure among adults | 30.4% | 26.7–34.5 |
| Cancer (non-skin) or melanoma among adults | 8.0% | 7.2–8.9 |
| Current asthma among adults | 10.8% | 9.6–12.2 |
| Coronary heart disease among adults | 5.8% | 5.1–6.5 |
| Chronic obstructive pulmonary disease among adults | 6.5% | 5.5–7.5 |
| Depression among adults | 23.0% | 19.7–26.7 |
| Diagnosed diabetes among adults | 9.0% | 7.7–10.5 |
| High cholesterol among adults who have ever been screened | 31.1% | 27.3–35.2 |
| Obesity among adults | 35.4% | 28.8–43.0 |
| Stroke among adults | 3.1% | 2.7–3.4 |
| All teeth lost among adults aged >=65 years | 20.3% | 16.8–24.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.1% | 7.4–11.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.9% | 66.3–73.4 |
| Visits to doctor for routine checkup within the past year among adults | 72.0% | 68.0–76.0 |
| Cholesterol screening among adults | 80.4% | 77.9–83.0 |
| Colorectal cancer screening among adults aged 45–75 years | 60.3% | 54.9–65.4 |
| Visited dentist or dental clinic in the past year among adults | 66.7% | 63.2–70.2 |
| Mammography use among women aged 50-74 years | 67.3% | 57.9–75.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.4–18.1 |
| Current cigarette smoking among adults | 12.9% | 10.5–15.5 |
| No leisure-time physical activity among adults | 21.5% | 17.5–25.7 |
| Short sleep duration among adults | 33.4% | 27.2–39.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.9% | 14.1–19.7 |
| Frequent mental distress among adults | 16.6% | 14.5–18.8 |
| Frequent physical distress among adults | 13.3% | 11.6–15.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.7% | 13.6–18.0 |
| Any disability among adults | 32.9% | 28.4–37.7 |
| Hearing disability among adults | 8.6% | 7.6–9.6 |
| Independent living disability among adults | 7.9% | 6.8–9.0 |
| Mobility disability among adults | 13.5% | 11.5–15.7 |
| Self-care disability among adults | 3.3% | 2.8–3.7 |
| Vision disability among adults | 4.3% | 3.8–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.0% | 16.8–23.4 |
| Food insecurity in the past 12 months among adults | 11.5% | 9.3–13.7 |
| Received food stamps in the past 12 months among adults | 7.9% | 6.2–9.6 |
| Housing insecurity in the past 12 months among adults | 9.6% | 8.0–11.4 |
| Lack of reliable transportation in the past 12 months among adults | 6.8% | 5.8–7.9 |
| Loneliness among adults | 30.7% | 26.1–35.5 |
| Utility services shut-off threat in the past 12 months among adults | 6.3% | 5.3–7.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | ID median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.1% | 10.6% (3.1–25.8%) n=32,364 | 9.9% (1.2–20.3%) n=275 |
| Uninsured 18–64 | 10.4% | 9.0% (1.5–24.3%) n=32,286 | 12.8% (0.0–25.9%) n=276 |
| No HS diploma (25+) | 3.4% | 7.9% (1.8–20.7%) n=32,505 | 6.9% (0.0–17.9%) n=275 |
| Bachelor's or higher (25+) | 25.0% | 23.3% (9.2–53.6%) n=32,505 | 22.1% (8.6–44.8%) n=275 |
| Unemployment rate (16+) | 0.6% | 3.9% (0.0–9.8%) n=32,274 | 2.5% (0.0–6.8%) n=274 |
| Households without a vehicle | 0.6% | 3.9% (0.0–12.5%) n=32,322 | 1.8% (0.0–6.5%) n=275 |
| Broadband subscription | 96.7% | 89.3% (75.1–97.1%) n=32,322 | 90.8% (79.9–100.0%) n=275 |
| Housing cost burden (≥30% income) | 19.9% | 23.7% (10.6–40.0%) n=32,322 | 22.5% (1.7–33.4%) n=275 |
| Homeownership rate | 83.7% | 78.7% (51.7–94.0%) n=32,322 | 80.7% (61.8–97.5%) n=275 |
| Crowded housing (>1 per room) | 0.6% | 1.3% (0.0–6.3%) n=32,322 | 1.8% (0.0–7.2%) n=275 |
| Foreign-born population | 1.5% | 2.6% (0.0–18.6%) n=32,553 | 2.6% (0.0–13.3%) n=277 |
| Single-parent households | 47.4% | 53.6% (37.3–74.1%) n=32,087 | 58.4% (44.1–86.8%) n=271 |
| Population 65+ | 7.3% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.3–42.1%) n=277 |
| Median age | 29.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.5 yr (31.8–62.3) n=273 |
| Median household income | $92,500 | $72,070 ($46,039–$118,707) n=30,318 | $70,814 ($51,606–$96,415) n=252 |
| Median home value | $359,000 | $222,200 ($100,300–$579,820) n=30,049 | $344,400 ($224,720–$577,280) n=247 |
| Median gross rent | $1,344 | $1,021 ($677–$1,912) n=25,670 | $990 ($730–$1,495) n=192 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | ID median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 80.8 yr ± 1.27 | 78.9 yr (74.7–82.8) n=31,308 | 79.9 yr (76.8–83.5) n=278 |
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 1.27 years of 80.8, 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