ZIP code
83843
in Moscow, IdahoPopulation 26,591
57.62/ 100
Ranked #6,705 of 32,066 US ZIPs (top 21%)
Ranked #27 of 268 Idaho ZIPs (top 10.1%)
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.
High cholesterol
28.1%
in the bottom 2.1% nationally
Lower is healthier
ST2ndUS2ndDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Fine-particle (PM2.5) exceedance
2.1%
in the top 4.3% nationally
Lower is healthier
ST70thUS96thDefinition & 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 ›Diabetes
7.4%
in the bottom 2.9% nationally
Lower is healthier
ST2ndUS3rdDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Slow internet speeds
2.1%
in the top 5.4% nationally
Lower is healthier
ST92ndUS95thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Fatal road crashes
1.5 per 100,000 residents per year
in the bottom 5.5% nationally
Lower is healthier
ST5thUS5thDefinition & 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 ›High blood pressure
27%
in the bottom 4.7% nationally
Lower is healthier
ST2ndUS5thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Homeownership rate
46.8%
in the bottom 7.6% nationally
Higher is healthier
ST4thUS8thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Short sleep
29.4%
in the bottom 7.1% nationally
Lower is healthier
ST15thUS7thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Subsidized affordable housing
258 units
in the top 9.6% nationally
Higher is healthier
ST94thUS90thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Coronary heart disease
4.8%
in the bottom 7.8% nationally
Lower is healthier
ST4thUS8thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›The read
ZIP 83843, one of several in Moscow, Idaho, by its overall standing, sits in the top 21% healthiest ZIPs nationally (6,705th) and the top 10.1% of Idaho (27th), based on limited data; treat as directional.
The measures fall on both sides of the ledger for this area: modeled high cholesterol resides in the bottom 2.1% nationally, and diabetes rests in the bottom 2.9% nationally. Distance to an emergency room lies at the national minimum, shared with about 11% of ZIPs. Fatal road crashes sits in the bottom 5.5% nationally, and modeled high blood pressure settles in the bottom 4.7% nationally. Modeled short sleep registers in the bottom 7.1% nationally, and subsidized affordable housing stands in the top 9.6% nationally. Set against that, modeled fine-particle lands in the top 4.3% nationally, and slow internet speeds is in the top 5.4% nationally. Homeownership resides in the bottom 7.6% nationally.
Defined in plain terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. The nearest ZIP ranking healthier overall is ZIP 83844, 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
Chronic Disease Burden
healthier than 93%
21%
Social Need / SDOH
healthier than 66%
16%
Risk Behavior
healthier than 88%
11%
Disability
healthier than 64%
7%
Climate / Disaster RiskPartial
healthier than 95%
5%
Healthcare Access
in the top 0.00%
5%
Holding it back
Environmental Hazard
healthier than 36%
14%
Preventive Care
healthier than 10%
13%
Mental Health
healthier than 35%
8%
Lifting this score
Chronic Disease Burden
healthier than 97%
21%
Environmental Hazard
healthier than 82%
14%
Risk Behavior
healthier than 73%
11%
Disability
healthier than 86%
7%
Climate / Disaster RiskPartial
healthier than 69%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 47%
16%
Holding it back
Preventive Care
healthier than 15%
13%
Mental Health
healthier than 13%
8%
“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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 80.5 ± 1.4 years. A median household income of $59,444 predicts 78.0 years — 2.5 years above.
Ranked #661 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
83832
Idahoshares a border
Score 55.83
Closest healthier
83844
Idahoshares a border
Score 58.59
Similar health profile
98605
Washington97% similar profile
Score 54.52
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 | 21.6% | 19.3–24.0 |
| High blood pressure among adults | 27.0% | 24.1–30.1 |
| Cancer (non-skin) or melanoma among adults | 6.6% | 6.0–7.3 |
| Current asthma among adults | 10.9% | 9.7–12.2 |
| Coronary heart disease among adults | 4.8% | 4.3–5.3 |
| Chronic obstructive pulmonary disease among adults | 5.3% | 4.7–5.9 |
| Depression among adults | 24.1% | 20.9–27.4 |
| Diagnosed diabetes among adults | 7.4% | 6.4–8.5 |
| High cholesterol among adults who have ever been screened | 28.1% | 25.0–31.2 |
| Obesity among adults | 29.7% | 24.8–34.8 |
| Stroke among adults | 2.5% | 2.3–2.7 |
| All teeth lost among adults aged >=65 years | 10.3% | 8.2–12.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 7.5–10.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 66.1% | 63.2–68.8 |
| Visits to doctor for routine checkup within the past year among adults | 71.4% | 67.7–74.9 |
| Cholesterol screening among adults | 74.9% | 72.4–77.3 |
| Colorectal cancer screening among adults aged 45–75 years | 63.0% | 57.8–67.6 |
| Visited dentist or dental clinic in the past year among adults | 66.3% | 62.8–69.6 |
| Mammography use among women aged 50-74 years | 75.2% | 67.5–81.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.0% | 15.2–20.9 |
| Current cigarette smoking among adults | 10.2% | 8.7–12.0 |
| No leisure-time physical activity among adults | 18.2% | 15.2–21.4 |
| Short sleep duration among adults | 29.4% | 24.4–34.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.7% | 13.7–17.9 |
| Frequent mental distress among adults | 17.8% | 15.8–20.0 |
| Frequent physical distress among adults | 11.9% | 10.5–13.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.8% | 14.8–19.0 |
| Any disability among adults | 31.3% | 27.6–35.2 |
| Hearing disability among adults | 7.4% | 6.6–8.2 |
| Independent living disability among adults | 8.3% | 7.4–9.4 |
| Mobility disability among adults | 11.2% | 9.8–12.7 |
| Self-care disability among adults | 3.0% | 2.7–3.3 |
| Vision disability among adults | 4.4% | 4.0–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.1% | 17.3–23.3 |
| Food insecurity in the past 12 months among adults | 13.0% | 11.0–15.3 |
| Received food stamps in the past 12 months among adults | 9.3% | 7.7–11.0 |
| Housing insecurity in the past 12 months among adults | 10.2% | 8.7–12.0 |
| Lack of reliable transportation in the past 12 months among adults | 8.5% | 7.4–9.7 |
| Loneliness among adults | 30.8% | 27.0–35.1 |
| Utility services shut-off threat in the past 12 months among adults | 7.1% | 6.1–8.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | ID median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.8% | 10.6% (3.1–25.8%) n=32,364 | 9.9% (1.2–20.3%) n=275 |
| Uninsured 18–64 | 11.3% | 9.0% (1.5–24.3%) n=32,286 | 12.8% (0.0–25.9%) n=276 |
| No HS diploma (25+) | 3.3% | 7.9% (1.8–20.7%) n=32,505 | 6.9% (0.0–17.9%) n=275 |
| Bachelor's or higher (25+) | 48.9% | 23.3% (9.2–53.6%) n=32,505 | 22.1% (8.6–44.8%) n=275 |
| Unemployment rate (16+) | 6.1% | 3.9% (0.0–9.8%) n=32,274 | 2.5% (0.0–6.8%) n=274 |
| Households without a vehicle | 4.8% | 3.9% (0.0–12.5%) n=32,322 | 1.8% (0.0–6.5%) n=275 |
| Broadband subscription | 89.7% | 89.3% (75.1–97.1%) n=32,322 | 90.8% (79.9–100.0%) n=275 |
| Housing cost burden (≥30% income) | 36.1% | 23.7% (10.6–40.0%) n=32,322 | 22.5% (1.7–33.4%) n=275 |
| Homeownership rate | 46.8% | 78.7% (51.7–94.0%) n=32,322 | 80.7% (61.8–97.5%) n=275 |
| Crowded housing (>1 per room) | 1.7% | 1.3% (0.0–6.3%) n=32,322 | 1.8% (0.0–7.2%) n=275 |
| Foreign-born population | 4.9% | 2.6% (0.0–18.6%) n=32,553 | 2.6% (0.0–13.3%) n=277 |
| Single-parent households | 42.7% | 53.6% (37.3–74.1%) n=32,087 | 58.4% (44.1–86.8%) n=271 |
| Population 65+ | 13.2% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.3–42.1%) n=277 |
| Median age | 29.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.5 yr (31.8–62.3) n=273 |
| Median household income | $59,444 | $72,070 ($46,039–$118,707) n=30,318 | $70,814 ($51,606–$96,415) n=252 |
| Median home value | $380,600 | $222,200 ($100,300–$579,820) n=30,049 | $344,400 ($224,720–$577,280) n=247 |
| Median gross rent | $927 | $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 | 80.5 yr ± 0.70 | 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 0.70 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