ZIP code
99682
in Tyonek, AlaskaPopulation 295
27.88/ 100
Ranked #31,118 of 32,066 US ZIPs (bottom 3.0%)
Ranked #136 of 211 Alaska ZIPs (bottom 36%)
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
50.5%
in the bottom 0.06% nationally
Higher is healthier
ST2ndUS1stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Colon-cancer screening
49.2%
in the bottom 1.7% nationally
Higher is healthier
ST32ndUS2ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Tooth loss
30.4%
in the top 2.9% nationally
Lower is healthier
ST68thUS97thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Distance to a nursing home
38.2 mi
in the top 1.0% nationally
Lower is healthier
ST35thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Walkability
0.51 intersections/sq mi
in the bottom 1.1% nationally
Higher is healthier
ST40thUS1stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Distance to an emergency room
38.1 mi
in the top 1.2% nationally
Lower is healthier
ST30thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Vision disability
10.2%
in the top 4.5% nationally
Lower is healthier
ST63rdUS96thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Hearing disability
12.5%
in the top 3.0% nationally
Lower is healthier
ST75thUS97thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Fair or poor health
32.7%
in the top 4.6% nationally
Lower is healthier
ST69thUS95thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Households without a vehicle
27.4%
in the top 2.8% nationally
Lower is healthier
ST48thUS97thDefinition & source ›
The share of households with no vehicle available.
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
- Food insecurity
- Housing insecurity
- Adults reporting fair or poor health
Barriers to reaching care
- Distance to the nearest emergency room
- Households with no vehicle
- Limited home internet for telehealth
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
In its overall standing, Tyonek, Alaska (ZIP 99682) lands in the bottom 3.0% nationally (31,118th) and the bottom 36% of Alaska (136th), based on limited data; treat as directional.
This area's defining measures are easy to pick out: modeled mammography rests in the bottom 0.06% nationally, colon screening registers in the bottom 1.7% nationally, and tooth loss resides in the top 2.9% nationally. Distance to a nursing home settles in the top 1.0% nationally, walkability is in the bottom 1.1% nationally, and distance to an emergency room sits in the top 1.2% nationally. Modeled vision disability lands in the top 4.5% nationally, and hearing disability lies in the top 3.0% nationally. Modeled fair or poor health stands in the top 4.6% nationally, and households without a vehicle rests in the top 2.8% nationally.
Against the wider neighborhood, distance to a nursing home runs far higher than the surrounding ZIPs on this measure. On the overall standing, ZIP 99667, just across the boundary, ranks healthier. In the round, the area 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.
Lifting this score
Environmental HazardPartial
in the top 0.2%
14%
About typical
Mental Health
healthier than 41%
9%
Holding it back
Chronic Disease Burden
healthier than 12%
22%
Social Need / SDOH
healthier than 2%
17%
Preventive Care
in the bottom 0.6%
13%
Risk Behavior
healthier than 3%
11%
Disability
healthier than 4%
8%
Healthcare Access
healthier than 6%
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
99667
Alaskashares a border
Score 47.00
Closest healthier
99611
Alaskaabout 16 mi away
Score 50.06
Similar health profile
38665
Mississippi98% similar profile
Score 41.83
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 | 29.3% | 26.3–32.3 |
| High blood pressure among adults | 41.3% | 37.9–45.0 |
| Cancer (non-skin) or melanoma among adults | 6.7% | 6.1–7.5 |
| Current asthma among adults | 13.4% | 11.9–15.2 |
| Coronary heart disease among adults | 9.4% | 8.4–10.7 |
| Chronic obstructive pulmonary disease among adults | 10.9% | 9.4–12.8 |
| Depression among adults | 20.4% | 17.5–23.5 |
| Diagnosed diabetes among adults | 16.7% | 14.6–19.1 |
| High cholesterol among adults who have ever been screened | 37.9% | 34.3–41.6 |
| Obesity among adults | 41.0% | 35.7–46.3 |
| Stroke among adults | 5.6% | 5.0–6.4 |
| All teeth lost among adults aged >=65 years | 30.4% | 26.1–35.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 14.3% | 11.7–17.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.3% | 66.7–73.6 |
| Visits to doctor for routine checkup within the past year among adults | 64.4% | 60.4–68.2 |
| Cholesterol screening among adults | 75.2% | 72.3–77.9 |
| Colorectal cancer screening among adults aged 45–75 years | 49.2% | 44.9–54.0 |
| Visited dentist or dental clinic in the past year among adults | 40.1% | 37.1–43.5 |
| Mammography use among women aged 50-74 years | 50.5% | 43.7–57.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 12.8–17.7 |
| Current cigarette smoking among adults | 30.1% | 26.2–34.3 |
| No leisure-time physical activity among adults | 32.0% | 27.5–36.9 |
| Short sleep duration among adults | 40.0% | 35.8–44.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 32.7% | 28.7–36.9 |
| Frequent mental distress among adults | 19.8% | 17.6–22.2 |
| Frequent physical distress among adults | 21.5% | 19.0–24.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.1% | 17.5–22.9 |
| Any disability among adults | 43.4% | 38.7–48.1 |
| Hearing disability among adults | 12.5% | 11.0–14.0 |
| Independent living disability among adults | 13.1% | 11.4–15.1 |
| Mobility disability among adults | 22.1% | 19.2–25.3 |
| Self-care disability among adults | 6.9% | 6.0–8.0 |
| Vision disability among adults | 10.2% | 8.9–11.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.4% | 26.7–34.7 |
| Food insecurity in the past 12 months among adults | 33.2% | 28.6–38.4 |
| Received food stamps in the past 12 months among adults | 25.3% | 21.3–29.8 |
| Housing insecurity in the past 12 months among adults | 23.6% | 20.4–27.1 |
| Lack of reliable transportation in the past 12 months among adults | 18.8% | 16.4–21.5 |
| Loneliness among adults | 37.0% | 32.9–41.3 |
| Utility services shut-off threat in the past 12 months among adults | 17.1% | 15.0–19.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.6% | 10.6% (3.1–25.8%) n=32,364 | 13.7% (1.4–38.0%) n=230 |
| Uninsured 18–64 | 48.4% | 9.0% (1.5–24.3%) n=32,286 | 20.8% (8.5–50.0%) n=225 |
| No HS diploma (25+) | 1.8% | 7.9% (1.8–20.7%) n=32,505 | 8.4% (1.4–25.1%) n=230 |
| Bachelor's or higher (25+) | 14.1% | 23.3% (9.2–53.6%) n=32,505 | 15.0% (0.0–37.4%) n=230 |
| Unemployment rate (16+) | 15.5% | 3.9% (0.0–9.8%) n=32,274 | 8.6% (0.0–29.5%) n=226 |
| Households without a vehicle | 27.4% | 3.9% (0.0–12.5%) n=32,322 | 31.1% (1.0–95.5%) n=228 |
| Broadband subscription | 83.2% | 89.3% (75.1–97.1%) n=32,322 | 84.8% (49.6–96.0%) n=228 |
| Housing cost burden (≥30% income) | 11.6% | 23.7% (10.6–40.0%) n=32,322 | 17.0% (0.0–33.2%) n=228 |
| Homeownership rate | 56.8% | 78.7% (51.7–94.0%) n=32,322 | 71.7% (45.5–94.4%) n=228 |
| Crowded housing (>1 per room) | 6.3% | 1.3% (0.0–6.3%) n=32,322 | 8.5% (0.0–48.6%) n=228 |
| Foreign-born population | 2.7% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–11.1%) n=231 |
| Single-parent households | 25.8% | 53.6% (37.3–74.1%) n=32,087 | 44.2% (18.7–68.2%) n=221 |
| Population 65+ | 2.0% | 19.4% (10.8–33.6%) n=32,553 | 12.7% (3.0–29.7%) n=231 |
| Median age | 29.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 35.7 yr (22.6–53.6) n=226 |
| Median household income | $66,250 | $72,070 ($46,039–$118,707) n=30,318 | $66,823 ($39,905–$108,850) n=197 |
| Median home value | $48,300 | $222,200 ($100,300–$579,820) n=30,049 | $177,500 ($66,830–$395,940) n=178 |
| Median gross rent | $661 | $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 | 75.9 yr ± 1.01 | 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 1.01 years of 75.9, 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