ZIP code
83839
in Kingston, IdahoPopulation 1,287
41.89/ 100
Ranked #25,309 of 32,066 US ZIPs (bottom 21%)
Ranked #255 of 268 Idaho ZIPs (bottom 4.9%)
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.
Hearing disability
14.1%
in the top 0.8% nationally
Lower is healthier
ST91stUS99thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›PFAS in drinking water
4.4%
in the bottom 0.7% nationally
Lower is healthier
ST2ndUS1stDefinition & 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 ›Fine-particle (PM2.5) exceedance
4.4%
in the top 1.3% nationally
Lower is healthier
ST96thUS99thDefinition & 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 ›Park land
47.8%
in the top 2.6% nationally
Higher is healthier
ST94thUS97thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Fatal road crashes
54.4 per 100,000 residents per year
in the top 3.0% nationally
Lower is healthier
ST94thUS97thDefinition & 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 ›Distance to a hazardous-chemical facility
22.1 mi
in the top 3.9% nationally
Higher is healthier
ST75thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Tree cover
80.6%
in the top 4.7% nationally
Higher is healthier
ST96thUS95thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Tooth loss
25.2%
in the top 7.0% nationally
Lower is healthier
ST99thUS93rdDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Homeownership rate
98.2%
in the top 5.6% nationally
Higher is healthier
ST91stUS94thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Mammography
67.4%
in the bottom 6.3% nationally
Higher is healthier
ST43rdUS6thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›The read
On balance, and by the composite measure, Kingston, Idaho (ZIP 83839) ranks in the bottom 21% nationally (25,309th) and the bottom 4.9% of Idaho (255th).
The measures that press hardest set the tone here: modeled hearing disability resides in the top 0.8% nationally, and fine-particle lands in the top 1.3% nationally. Fatal road crashes registers in the top 3.0% nationally, and modeled tooth loss sits in the top 7.0% nationally. Modeled mammography rests in the bottom 6.3% nationally. On the stronger side, modeled pfas is in the bottom 0.7% nationally, park land stands in the top 2.6% nationally, and distance to a hazardous-chemical facility settles in the top 3.9% nationally. Modeled tree cover lies in the top 4.7% nationally, and homeownership resides in the top 5.6% nationally.
Compared with the ZIPs it borders, park land runs far higher than the surrounding ZIPs on this measure. In plainer terms, 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. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. For a healthier nearby ZIP overall, look to ZIP 83810, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Risk Behavior
healthier than 62%
11%
Climate / Disaster Risk
healthier than 86%
5%
Healthcare Access
healthier than 72%
5%
About typical
Social Need / SDOH
healthier than 53%
16%
Mental Health
healthier than 58%
8%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 20%
13%
Disability
healthier than 9%
7%
Lifting this score
Healthcare Access
healthier than 71%
5%
About typical
Preventive Care
healthier than 49%
13%
Mental Health
healthier than 49%
8%
Climate / Disaster Risk
healthier than 48%
5%
Holding it back
Chronic Disease Burden
healthier than 10%
21%
Social Need / SDOH
healthier than 33%
16%
Environmental Hazard
healthier than 14%
14%
Risk Behavior
healthier than 11%
11%
Disability
healthier than 10%
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
83810
Idahoshares a border
Score 51.18
Closest healthier
83837
Idahoshares a border
Score 41.89
Similar health profile
89428
Nevada97% similar profile
Score 39.32
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 | 38.3% | 34.5–42.2 |
| High blood pressure among adults | 41.1% | 37.0–45.3 |
| Cancer (non-skin) or melanoma among adults | 11.2% | 10.2–12.4 |
| Current asthma among adults | 11.4% | 10.0–12.9 |
| Coronary heart disease among adults | 10.2% | 8.9–11.6 |
| Chronic obstructive pulmonary disease among adults | 11.3% | 9.4–13.4 |
| Depression among adults | 22.3% | 19.1–25.8 |
| Diagnosed diabetes among adults | 15.1% | 12.9–17.5 |
| High cholesterol among adults who have ever been screened | 41.7% | 37.4–46.1 |
| Obesity among adults | 36.5% | 30.2–43.2 |
| Stroke among adults | 5.2% | 4.6–5.9 |
| All teeth lost among adults aged >=65 years | 25.2% | 20.6–30.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.5% | 8.2–13.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.1% | 73.5–80.3 |
| Visits to doctor for routine checkup within the past year among adults | 77.5% | 73.8–80.9 |
| Cholesterol screening among adults | 83.9% | 81.5–86.1 |
| Colorectal cancer screening among adults aged 45–75 years | 61.9% | 55.8–67.6 |
| Visited dentist or dental clinic in the past year among adults | 59.2% | 55.2–63.2 |
| Mammography use among women aged 50-74 years | 67.4% | 57.9–75.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.1% | 10.7–15.7 |
| Current cigarette smoking among adults | 16.4% | 13.3–19.7 |
| No leisure-time physical activity among adults | 29.3% | 24.3–34.7 |
| Short sleep duration among adults | 34.4% | 27.8–41.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.2% | 20.5–28.5 |
| Frequent mental distress among adults | 16.5% | 14.4–18.7 |
| Frequent physical distress among adults | 18.3% | 15.8–20.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.9% | 15.4–20.6 |
| Any disability among adults | 44.7% | 39.6–50.1 |
| Hearing disability among adults | 14.1% | 12.5–15.9 |
| Independent living disability among adults | 10.8% | 9.2–12.6 |
| Mobility disability among adults | 22.6% | 19.2–26.4 |
| Self-care disability among adults | 5.6% | 4.7–6.6 |
| Vision disability among adults | 6.8% | 5.8–7.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.4% | 17.9–25.1 |
| Food insecurity in the past 12 months among adults | 15.2% | 12.0–18.7 |
| Received food stamps in the past 12 months among adults | 12.0% | 9.4–15.1 |
| Housing insecurity in the past 12 months among adults | 10.8% | 8.8–12.9 |
| Lack of reliable transportation in the past 12 months among adults | 8.2% | 6.9–9.7 |
| Loneliness among adults | 28.3% | 23.8–33.0 |
| Utility services shut-off threat in the past 12 months among adults | 7.5% | 6.3–8.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | ID median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.0% | 10.6% (3.1–25.8%) n=32,364 | 9.9% (1.2–20.3%) n=275 |
| Uninsured 18–64 | 20.4% | 9.0% (1.5–24.3%) n=32,286 | 12.8% (0.0–25.9%) n=276 |
| No HS diploma (25+) | 15.7% | 7.9% (1.8–20.7%) n=32,505 | 6.9% (0.0–17.9%) n=275 |
| Bachelor's or higher (25+) | 14.3% | 23.3% (9.2–53.6%) n=32,505 | 22.1% (8.6–44.8%) n=275 |
| Unemployment rate (16+) | 6.8% | 3.9% (0.0–9.8%) n=32,274 | 2.5% (0.0–6.8%) n=274 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 1.8% (0.0–6.5%) n=275 |
| Broadband subscription | 83.8% | 89.3% (75.1–97.1%) n=32,322 | 90.8% (79.9–100.0%) n=275 |
| Housing cost burden (≥30% income) | 23.5% | 23.7% (10.6–40.0%) n=32,322 | 22.5% (1.7–33.4%) n=275 |
| Homeownership rate | 98.2% | 78.7% (51.7–94.0%) n=32,322 | 80.7% (61.8–97.5%) n=275 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.8% (0.0–7.2%) n=275 |
| Foreign-born population | 0.9% | 2.6% (0.0–18.6%) n=32,553 | 2.6% (0.0–13.3%) n=277 |
| Single-parent households | 77.4% | 53.6% (37.3–74.1%) n=32,087 | 58.4% (44.1–86.8%) n=271 |
| Population 65+ | 31.8% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.3–42.1%) n=277 |
| Median age | 55.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.5 yr (31.8–62.3) n=273 |
| Median household income | $63,889 | $72,070 ($46,039–$118,707) n=30,318 | $70,814 ($51,606–$96,415) n=252 |
| Median home value | $384,400 | $222,200 ($100,300–$579,820) n=30,049 | $344,400 ($224,720–$577,280) n=247 |
| Median gross rent | — | $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 | 79.2 yr ± 1.74 | 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 1.74 years of 79.2, 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