ZIP code
99840
in Skagway, AlaskaPopulation 1,244
54.48/ 100
Ranked #10,105 of 32,066 US ZIPs (top 32%)
Ranked #34 of 211 Alaska ZIPs (top 16%)
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.
Industrial-pollution burden
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Air-toxics cancer risk
8 per million
in the bottom 0.2% nationally
Lower is healthier
ST29thUS1stDefinition & 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
73.1 mi
in the top 0.4% nationally
Lower is healthier
ST50thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Distance to a hazardous-chemical facility
76.2 mi
in the top 0.5% nationally
Higher is healthier
ST51stUS99thDefinition & 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 ›Distance to a Superfund site
273.4 mi
in the top 0.5% nationally
Higher is healthier
ST56thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Distance to an emergency room
73.2 mi
in the top 0.5% nationally
Lower is healthier
ST40thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Walkability
0.31 intersections/sq mi
in the bottom 0.7% nationally
Higher is healthier
ST35thUS1stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Mammography
64.8%
in the bottom 2.7% nationally
Higher is healthier
ST71stUS3rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Fatal road crashes
0 per 100,000 residents per year
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Park land
30.4%
in the top 4.6% nationally
Higher is healthier
ST89thUS95thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›The read
On the composite measure, Skagway, Alaska (ZIP 99840) stands in the top 32% healthiest ZIPs nationally (10,105th) and the top 16% of Alaska (34th), based on limited data; treat as directional.
A profile of give and take, with clear readings each way: modeled industrial-pollution burden settles in the bottom 0.2% nationally, and air-toxics cancer risk rests in the bottom 0.2% nationally. Distance to a hazardous-chemical facility lands in the top 0.5% nationally, and distance to a Superfund site settles in the top 0.5% nationally. Fatal road crashes rests at the national minimum, and park land lands in the top 4.6% nationally. On the other side, distance to a nursing home settles in the top 0.4% nationally, distance to an emergency room rests in the top 0.5% nationally, and walkability lands in the bottom 0.7% nationally. Modeled mammography settles in the bottom 2.7% nationally.
Set beside the wider area around it, distance to a nursing home runs far higher than the surrounding ZIPs on this measure. For clarity, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. 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. ZIP 99827, just across the boundary, ranks better overall among the ZIPs nearby.
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 85%
22%
Environmental HazardPartial
in the top 0.00%
14%
Mental Health
healthier than 76%
9%
Disability
healthier than 81%
8%
Holding it back
Social Need / SDOH
healthier than 28%
17%
Preventive Care
healthier than 6%
13%
Risk Behavior
healthier than 40%
11%
Healthcare Access
in the bottom 0.8%
6%
No data: Climate / Disaster Risk — not measured in this ZIP, so it is left out of the score entirely rather than estimated.
“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
99827
Alaskashares a border
Score 55.04
Closest healthier
99801
Alaskaabout 35 mi away
Score 58.56
Similar health profile
99744
Alaska99% similar profile
Score 54.05
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 | 23.1% | 20.0–26.4 |
| High blood pressure among adults | 31.4% | 27.2–35.8 |
| Cancer (non-skin) or melanoma among adults | 7.5% | 6.7–8.4 |
| Current asthma among adults | 10.2% | 8.9–11.5 |
| Coronary heart disease among adults | 5.3% | 4.6–6.1 |
| Chronic obstructive pulmonary disease among adults | 6.0% | 5.0–7.2 |
| Depression among adults | 20.8% | 17.4–24.4 |
| Diagnosed diabetes among adults | 8.2% | 6.9–9.7 |
| High cholesterol among adults who have ever been screened | 33.0% | 28.7–37.3 |
| Obesity among adults | 36.4% | 28.0–45.4 |
| Stroke among adults | 2.8% | 2.5–3.2 |
| All teeth lost among adults aged >=65 years | 9.0% | 7.2–11.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 6.8–11.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 67.5% | 63.3–71.3 |
| Visits to doctor for routine checkup within the past year among adults | 67.1% | 62.3–71.6 |
| Cholesterol screening among adults | 81.9% | 78.9–84.4 |
| Colorectal cancer screening among adults aged 45–75 years | 59.2% | 53.6–64.8 |
| Visited dentist or dental clinic in the past year among adults | 58.7% | 54.7–62.5 |
| Mammography use among women aged 50-74 years | 64.8% | 55.2–73.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.4% | 16.1–23.2 |
| Current cigarette smoking among adults | 16.2% | 13.0–20.0 |
| No leisure-time physical activity among adults | 19.9% | 15.9–24.6 |
| Short sleep duration among adults | 36.3% | 29.3–43.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.3% | 13.6–19.6 |
| Frequent mental distress among adults | 15.4% | 13.3–17.7 |
| Frequent physical distress among adults | 12.5% | 10.8–14.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.0% | 11.0–15.4 |
| Any disability among adults | 26.7% | 22.4–31.6 |
| Hearing disability among adults | 6.9% | 6.0–7.9 |
| Independent living disability among adults | 6.8% | 5.8–8.0 |
| Mobility disability among adults | 10.6% | 8.9–12.7 |
| Self-care disability among adults | 3.0% | 2.6–3.6 |
| Vision disability among adults | 3.8% | 3.3–4.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.3% | 19.4–27.4 |
| Food insecurity in the past 12 months among adults | 11.2% | 8.7–14.2 |
| Received food stamps in the past 12 months among adults | 7.9% | 5.9–10.3 |
| Housing insecurity in the past 12 months among adults | 10.0% | 7.9–12.3 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 5.7–8.3 |
| Loneliness among adults | 30.7% | 25.4–36.2 |
| Utility services shut-off threat in the past 12 months among adults | 6.8% | 5.4–8.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.9% | 10.6% (3.1–25.8%) n=32,364 | 13.7% (1.4–38.0%) n=230 |
| Uninsured 18–64 | 10.0% | 9.0% (1.5–24.3%) n=32,286 | 20.8% (8.5–50.0%) n=225 |
| No HS diploma (25+) | 6.5% | 7.9% (1.8–20.7%) n=32,505 | 8.4% (1.4–25.1%) n=230 |
| Bachelor's or higher (25+) | 28.5% | 23.3% (9.2–53.6%) n=32,505 | 15.0% (0.0–37.4%) n=230 |
| Unemployment rate (16+) | 9.1% | 3.9% (0.0–9.8%) n=32,274 | 8.6% (0.0–29.5%) n=226 |
| Households without a vehicle | 10.0% | 3.9% (0.0–12.5%) n=32,322 | 31.1% (1.0–95.5%) n=228 |
| Broadband subscription | 93.3% | 89.3% (75.1–97.1%) n=32,322 | 84.8% (49.6–96.0%) n=228 |
| Housing cost burden (≥30% income) | 22.9% | 23.7% (10.6–40.0%) n=32,322 | 17.0% (0.0–33.2%) n=228 |
| Homeownership rate | 70.9% | 78.7% (51.7–94.0%) n=32,322 | 71.7% (45.5–94.4%) n=228 |
| Crowded housing (>1 per room) | 4.7% | 1.3% (0.0–6.3%) n=32,322 | 8.5% (0.0–48.6%) n=228 |
| Foreign-born population | 15.9% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–11.1%) n=231 |
| Single-parent households | 45.2% | 53.6% (37.3–74.1%) n=32,087 | 44.2% (18.7–68.2%) n=221 |
| Population 65+ | 18.2% | 19.4% (10.8–33.6%) n=32,553 | 12.7% (3.0–29.7%) n=231 |
| Median age | 41.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 35.7 yr (22.6–53.6) n=226 |
| Median household income | $81,136 | $72,070 ($46,039–$118,707) n=30,318 | $66,823 ($39,905–$108,850) n=197 |
| Median home value | $435,400 | $222,200 ($100,300–$579,820) n=30,049 | $177,500 ($66,830–$395,940) n=178 |
| Median gross rent | $1,280 | $1,021 ($677–$1,912) n=25,670 | $1,078 ($688–$1,571) n=143 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | AK median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 80.8 yr ± 1.80 | 78.9 yr (74.7–82.8) n=31,308 | 79.0 yr (75.1–84.7) n=222 |
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 1.80 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