ZIP code
99650
in Pilot Station, AlaskaPopulation 713
19.02/ 100
Ranked #31,933 of 32,066 US ZIPs (bottom 0.5%)
Ranked #204 of 211 Alaska ZIPs (bottom 3.4%)
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.
Energy-cost burden
12.0%
in the top 0.2% nationally
Lower is healthier
ST79thUS99thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Colon-cancer screening
38.2%
in the bottom 0.2% nationally
Higher is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Mammography
54.5%
in the bottom 0.3% nationally
Higher is healthier
ST15thUS1stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Vision disability
13.2%
in the top 1.2% nationally
Lower is healthier
ST90thUS99thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Independent-living disability
17.6%
in the top 0.8% nationally
Lower is healthier
ST91stUS99thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Cognitive disability
26.7%
in the top 0.5% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Tooth loss
34.9%
in the top 1.3% nationally
Lower is healthier
ST79thUS99thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Distance to an emergency room
405.4 mi
in the top 0.2% nationally
Lower is healthier
ST85thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Lack of transportation
28.5%
in the top 0.2% nationally
Lower is healthier
ST94thUS99thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Distance to a Superfund site
432.9 mi
in the top 0.2% nationally
Higher is healthier
ST80thUS99thDefinition & 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 ›Cross-source signals
Health need and barriers to care documented here
On our reading, this ZIP code carries the overlap at its severe level: severe means at least four of the six health-need readings and at least four 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
- People without health insurance
- People living in poverty
- Food insecurity
- Housing insecurity
- Adults reporting fair or poor health
Barriers to reaching care
- Distance to the nearest emergency room
- Thin local supply of doctors
- Thin local supply of pharmacies
- 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
Pilot Station, Alaska (ZIP 99650), by its overall standing, sits in the bottom 0.5% nationally (31,933rd) and the bottom 3.4% of Alaska (204th), based on limited data; treat as directional.
The clearest local signals in the data come through up front: modeled energy burden is in the top 0.2% nationally, colon screening resides in the bottom 0.2% nationally, and mammography rests in the bottom 0.3% nationally. Modeled vision disability lies in the top 1.2% nationally, independent living disability sits in the top 0.8% nationally, and cognitive disability settles in the top 0.5% nationally. Modeled tooth loss registers in the top 1.3% nationally, and distance to an emergency room stands in the top 0.2% nationally. Modeled transportation lands in the top 0.2% nationally. On the brighter side, distance to a Superfund site is in the top 0.2% nationally.
Defined in plain terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Energy burden is the share of household income that goes to home energy bills. The nearest ZIP ranking healthier overall is ZIP 99658, about 11 miles away. Looking wider, the ZIP 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 0.00%
14%
Holding it back
Chronic Disease Burden
healthier than 20%
22%
Social Need / SDOH
in the bottom 0.01%
17%
Preventive Care
in the bottom 0.04%
13%
Risk Behavior
in the bottom 0.2%
11%
Mental Health
healthier than 4%
9%
Disability
healthier than 1%
8%
Healthcare Access
in the bottom 0.03%
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.
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. 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 | 24.9% | 21.7–28.3 |
| High blood pressure among adults | 37.4% | 32.7–42.1 |
| Cancer (non-skin) or melanoma among adults | 4.3% | 3.9–4.9 |
| Current asthma among adults | 15.2% | 13.3–17.3 |
| Coronary heart disease among adults | 7.5% | 6.6–8.5 |
| Chronic obstructive pulmonary disease among adults | 11.3% | 9.6–13.1 |
| Depression among adults | 24.3% | 20.3–28.6 |
| Diagnosed diabetes among adults | 15.9% | 13.7–18.2 |
| High cholesterol among adults who have ever been screened | 31.0% | 26.7–35.3 |
| Obesity among adults | 47.2% | 37.6–56.5 |
| Stroke among adults | 5.0% | 4.4–5.7 |
| All teeth lost among adults aged >=65 years | 34.9% | 29.4–40.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 17.8% | 13.9–22.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 63.3% | 59.3–66.9 |
| Visits to doctor for routine checkup within the past year among adults | 63.5% | 58.2–68.4 |
| Cholesterol screening among adults | 67.0% | 62.8–71.0 |
| Colorectal cancer screening among adults aged 45–75 years | 38.2% | 32.8–43.7 |
| Visited dentist or dental clinic in the past year among adults | 31.8% | 28.2–35.2 |
| Mammography use among women aged 50-74 years | 54.5% | 43.9–64.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.5% | 13.3–20.1 |
| Current cigarette smoking among adults | 37.7% | 32.7–43.0 |
| No leisure-time physical activity among adults | 36.9% | 30.9–43.5 |
| Short sleep duration among adults | 46.6% | 38.7–54.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 38.0% | 33.0–43.4 |
| Frequent mental distress among adults | 25.4% | 22.3–28.7 |
| Frequent physical distress among adults | 22.6% | 19.7–25.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 26.7% | 23.2–30.7 |
| Any disability among adults | 48.8% | 42.8–55.1 |
| Hearing disability among adults | 11.2% | 9.8–12.6 |
| Independent living disability among adults | 17.6% | 15.2–20.4 |
| Mobility disability among adults | 22.3% | 19.1–25.6 |
| Self-care disability among adults | 7.6% | 6.5–8.9 |
| Vision disability among adults | 13.2% | 11.4–15.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 36.2% | 31.0–41.5 |
| Food insecurity in the past 12 months among adults | 48.0% | 41.3–54.6 |
| Received food stamps in the past 12 months among adults | 40.5% | 34.4–47.0 |
| Housing insecurity in the past 12 months among adults | 33.7% | 28.8–38.7 |
| Lack of reliable transportation in the past 12 months among adults | 28.5% | 24.6–32.6 |
| Loneliness among adults | 40.8% | 34.6–46.8 |
| Utility services shut-off threat in the past 12 months among adults | 26.0% | 22.5–29.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 42.0% | 10.6% (3.1–25.8%) n=32,364 | 13.7% (1.4–38.0%) n=230 |
| Uninsured 18–64 | 12.9% | 9.0% (1.5–24.3%) n=32,286 | 20.8% (8.5–50.0%) n=225 |
| No HS diploma (25+) | 22.8% | 7.9% (1.8–20.7%) n=32,505 | 8.4% (1.4–25.1%) n=230 |
| Bachelor's or higher (25+) | 0.6% | 23.3% (9.2–53.6%) n=32,505 | 15.0% (0.0–37.4%) n=230 |
| Unemployment rate (16+) | 30.0% | 3.9% (0.0–9.8%) n=32,274 | 8.6% (0.0–29.5%) n=226 |
| Households without a vehicle | 79.9% | 3.9% (0.0–12.5%) n=32,322 | 31.1% (1.0–95.5%) n=228 |
| Broadband subscription | 81.8% | 89.3% (75.1–97.1%) n=32,322 | 84.8% (49.6–96.0%) n=228 |
| Housing cost burden (≥30% income) | 4.5% | 23.7% (10.6–40.0%) n=32,322 | 17.0% (0.0–33.2%) n=228 |
| Homeownership rate | 81.2% | 78.7% (51.7–94.0%) n=32,322 | 71.7% (45.5–94.4%) n=228 |
| Crowded housing (>1 per room) | 44.8% | 1.3% (0.0–6.3%) n=32,322 | 8.5% (0.0–48.6%) n=228 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–11.1%) n=231 |
| Single-parent households | 31.3% | 53.6% (37.3–74.1%) n=32,087 | 44.2% (18.7–68.2%) n=221 |
| Population 65+ | 8.3% | 19.4% (10.8–33.6%) n=32,553 | 12.7% (3.0–29.7%) n=231 |
| Median age | 21.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 35.7 yr (22.6–53.6) n=226 |
| Median household income | $45,000 | $72,070 ($46,039–$118,707) n=30,318 | $66,823 ($39,905–$108,850) n=197 |
| Median home value | $52,200 | $222,200 ($100,300–$579,820) n=30,049 | $177,500 ($66,830–$395,940) n=178 |
| Median gross rent | $675 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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