ZIP code
99567
in Chugiak, AlaskaPopulation 6,452
59.71/ 100
Ranked #5,074 of 32,066 US ZIPs (top 16%)
Ranked #9 of 211 Alaska ZIPs (top 4.3%)
Ranked #5 of 27 Anchorage, AK ZIPs (top 19%)
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.
Park land
95%
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Walkability
0.67 intersections/sq mi
in the bottom 1.5% nationally
Higher is healthier
ST44thUS1stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›PFOA in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents served by public water systems where PFOA, one of the man-made “forever chemicals,” was detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Median household income
$147,319
in the top 4.2% nationally
Higher is healthier
ST98thUS96thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Natural-disaster risk
in the top 4.4% nationally
Lower is healthier
ST92ndUS96thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›PFAS in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents served by public water systems where PFAS — man-made “forever chemicals” that build up in the body and environment instead of breaking down — were detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Air-toxics cancer risk
19.7 per million
in the bottom 7.6% nationally
Lower is healthier
ST90thUS8thDefinition & 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 ›Diabetes
8.3%
in the bottom 5.3% nationally
Lower is healthier
ST9thUS5thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Food insecurity
8.7%
in the bottom 11.0% nationally
Lower is healthier
ST4thUS11thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Independent-living disability
6.2%
in the bottom 11.2% nationally
Lower is healthier
ST7thUS11thDefinition & 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 ›The read
Chugiak, Alaska (ZIP 99567), by its composite score, sits in the top 16% healthiest ZIPs nationally (5,074th) and the top 4.3% of Alaska (9th), based on limited data; treat as directional.
The data opens on a genuinely even set of readings: park land resides in the top 0.2% nationally, and household income is in the top 4.2% nationally. Modeled air-toxics cancer risk lands in the bottom 7.6% nationally, and diabetes stands in the bottom 5.3% nationally. Modeled food insecurity registers in the bottom 11.0% nationally, and industrial-pollution burden settles in the bottom 11.2% nationally. On the other side, walkability sits in the bottom 1.5% nationally, PFOA in drinking water lies at the national maximum, and modeled disaster risk rests in the top 4.4% nationally. PFAS in drinking water resides at the national maximum.
Next to the surrounding area, park land runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, PFOA in drinking water is one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. PFAS in drinking water is the family of man-made "forever chemicals" that build up in the body and environment instead of breaking down. For a healthier comparison close by, see ZIP 99577, 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 83%
21%
Social Need / SDOH
healthier than 84%
16%
Environmental Hazard
healthier than 86%
14%
Risk Behavior
healthier than 74%
11%
Mental Health
healthier than 74%
8%
Disability
healthier than 85%
7%
Climate / Disaster RiskPartial
healthier than 94%
5%
Holding it back
Preventive Care
healthier than 20%
13%
Healthcare Access
healthier than 21%
5%
“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
99577
Alaskashares a border
Score 61.84
Closest healthier
99587
Alaskashares a border
Score 62.50
Similar health profile
59758
Montana97% similar profile
Score 58.35
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 | 24.7% | 22.5–27.2 |
| High blood pressure among adults | 32.4% | 29.8–35.3 |
| Cancer (non-skin) or melanoma among adults | 8.2% | 7.5–9.0 |
| Current asthma among adults | 10.7% | 9.6–12.0 |
| Coronary heart disease among adults | 5.3% | 4.8–6.0 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.6–6.3 |
| Depression among adults | 21.8% | 19.4–24.7 |
| Diagnosed diabetes among adults | 8.3% | 7.2–9.5 |
| High cholesterol among adults who have ever been screened | 33.3% | 30.6–36.4 |
| Obesity among adults | 34.1% | 30.4–38.5 |
| Stroke among adults | 2.8% | 2.5–3.1 |
| All teeth lost among adults aged >=65 years | 9.4% | 7.8–11.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.1% | 5.8–8.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.7% | 66.7–72.7 |
| Visits to doctor for routine checkup within the past year among adults | 72.4% | 69.4–75.4 |
| Cholesterol screening among adults | 84.1% | 82.1–86.0 |
| Colorectal cancer screening among adults aged 45–75 years | 64.1% | 60.6–67.5 |
| Visited dentist or dental clinic in the past year among adults | 66.4% | 63.7–69.2 |
| Mammography use among women aged 50-74 years | 70.6% | 64.9–75.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.6% | 16.3–21.3 |
| Current cigarette smoking among adults | 12.7% | 10.6–14.9 |
| No leisure-time physical activity among adults | 16.9% | 14.5–19.8 |
| Short sleep duration among adults | 33.6% | 30.2–37.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.3% | 13.4–17.5 |
| Frequent mental distress among adults | 14.9% | 13.3–16.7 |
| Frequent physical distress among adults | 11.8% | 10.5–13.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.7% | 10.2–13.3 |
| Any disability among adults | 25.6% | 22.8–28.7 |
| Hearing disability among adults | 7.1% | 6.3–8.0 |
| Independent living disability among adults | 6.2% | 5.4–7.1 |
| Mobility disability among adults | 10.6% | 9.2–12.2 |
| Self-care disability among adults | 2.8% | 2.5–3.2 |
| Vision disability among adults | 3.5% | 3.1–3.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.0% | 19.3–24.9 |
| Food insecurity in the past 12 months among adults | 8.7% | 7.2–10.4 |
| Received food stamps in the past 12 months among adults | 6.1% | 4.9–7.5 |
| Housing insecurity in the past 12 months among adults | 8.8% | 7.5–10.4 |
| Lack of reliable transportation in the past 12 months among adults | 6.3% | 5.4–7.2 |
| Loneliness among adults | 31.3% | 28.0–34.7 |
| Utility services shut-off threat in the past 12 months among adults | 5.9% | 5.0–6.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.6% | 10.6% (3.1–25.8%) n=32,364 | 13.7% (1.4–38.0%) n=230 |
| Uninsured 18–64 | 13.3% | 9.0% (1.5–24.3%) n=32,286 | 20.8% (8.5–50.0%) n=225 |
| No HS diploma (25+) | 4.9% | 7.9% (1.8–20.7%) n=32,505 | 8.4% (1.4–25.1%) n=230 |
| Bachelor's or higher (25+) | 48.0% | 23.3% (9.2–53.6%) n=32,505 | 15.0% (0.0–37.4%) n=230 |
| Unemployment rate (16+) | 3.5% | 3.9% (0.0–9.8%) n=32,274 | 8.6% (0.0–29.5%) n=226 |
| Households without a vehicle | 0.3% | 3.9% (0.0–12.5%) n=32,322 | 31.1% (1.0–95.5%) n=228 |
| Broadband subscription | 92.3% | 89.3% (75.1–97.1%) n=32,322 | 84.8% (49.6–96.0%) n=228 |
| Housing cost burden (≥30% income) | 25.1% | 23.7% (10.6–40.0%) n=32,322 | 17.0% (0.0–33.2%) n=228 |
| Homeownership rate | 88.3% | 78.7% (51.7–94.0%) n=32,322 | 71.7% (45.5–94.4%) n=228 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 8.5% (0.0–48.6%) n=228 |
| Foreign-born population | 1.5% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–11.1%) n=231 |
| Single-parent households | 67.2% | 53.6% (37.3–74.1%) n=32,087 | 44.2% (18.7–68.2%) n=221 |
| Population 65+ | 24.5% | 19.4% (10.8–33.6%) n=32,553 | 12.7% (3.0–29.7%) n=231 |
| Median age | 51.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 35.7 yr (22.6–53.6) n=226 |
| Median household income | $147,319 | $72,070 ($46,039–$118,707) n=30,318 | $66,823 ($39,905–$108,850) n=197 |
| Median home value | $471,300 | $222,200 ($100,300–$579,820) n=30,049 | $177,500 ($66,830–$395,940) n=178 |
| Median gross rent | $1,220 | $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 | 79.7 yr ± 1.00 | 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 1.00 years of 79.7, 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