ZIP code
99503
in Anchorage, AlaskaPopulation 12,964
48.26/ 100
Ranked #18,605 of 32,066 US ZIPs (bottom 42%)
Ranked #58 of 211 Alaska ZIPs (top 27%)
Ranked #19 of 27 Anchorage, AK ZIPs (bottom 30%)
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.
Expected annual disaster loss
$1
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Dental provider access
3.7 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of dental offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Air-toxics cancer risk
60.6 per million
in the top 0.3% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Outpatient-care access
1.3 per 1,000 residents
in the top 1.0% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The number of outpatient clinics located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Natural-disaster risk
in the top 1.3% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Civic-institution access
1.8 per 1,000 residents
in the top 1.4% nationally
Higher is healthier
ST96thUS99thDefinition & source ›
The number of civic and social organizations inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Mental-health provider access
0.37 per 1,000 residents
in the top 1.5% nationally
Higher is healthier
ST96thUS99thDefinition & source ›
The number of mental-health clinics located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Transit access
8.8 per 1,000 residents
in the top 1.7% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of public-transit stops inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Child-care access
1.1 per 1,000 residents
in the top 1.8% nationally
Higher is healthier
ST93rdUS98thDefinition & source ›
The number of child day-care services inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Recreation access
1.9 per 1,000 residents
in the top 1.8% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›The read
By its overall health score, ZIP 99503, one of several in Anchorage, Alaska lands in the bottom 42% nationally (18,605th) and the top 27% of Alaska (58th), based on limited data; treat as directional.
Where this area bears down hardest, the measures speak first: modeled expected annual loss stands in the top 0.2% nationally, and air-toxics cancer risk settles in the top 0.3% nationally. Modeled disaster risk lies in the top 1.3% nationally. On the encouraging side, dental providers resides in the top 0.2% nationally, outpatient lands in the top 1.0% nationally, and civic registers in the top 1.4% nationally. Mental-health providers sits in the top 1.5% nationally, transit rests in the top 1.7% nationally, and childcare is in the top 1.8% nationally. Recreation stands in the top 1.8% nationally.
Weighed against the ZIPs nearby, expected annual loss runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Overall, the nearest healthier neighbor is ZIP 99502, 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 77%
22%
Social Need / SDOH
healthier than 76%
17%
Healthcare Access
healthier than 70%
6%
About typical
Mental Health
healthier than 54%
9%
Disability
healthier than 51%
8%
Holding it back
Environmental Hazard
healthier than 5%
14%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 35%
11%
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 ›
Findings that name this ZIP
3 of our published findings list 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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 73.5 ± 2.3 years. A median household income of $76,144 predicts 79.0 years — 5.5 years below.
Ranked #5,660 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 73.5 ± 2.3 years. The 49 nearest ZIP codes with estimates average 78.5 years — 5.0 years below them.
Ranked #3,386 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 60.6 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 73.5 ± 2.3 years.
Ranked #42 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
99501
Alaskashares a border
Score 47.97
Closest healthier
99502
Alaskashares a border
Score 55.13
Similar health profile
80022
Colorado98% similar profile
Score 49.21
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 | 22.4% | 20.4–24.6 |
| High blood pressure among adults | 33.6% | 31.1–36.5 |
| Cancer (non-skin) or melanoma among adults | 5.7% | 5.2–6.3 |
| Current asthma among adults | 11.1% | 10.0–12.4 |
| Coronary heart disease among adults | 5.8% | 5.3–6.4 |
| Chronic obstructive pulmonary disease among adults | 6.4% | 5.7–7.1 |
| Depression among adults | 21.5% | 19.1–24.2 |
| Diagnosed diabetes among adults | 10.8% | 9.7–12.3 |
| High cholesterol among adults who have ever been screened | 32.0% | 29.5–34.9 |
| Obesity among adults | 37.5% | 33.6–41.8 |
| Stroke among adults | 3.3% | 3.1–3.6 |
| All teeth lost among adults aged >=65 years | 14.3% | 12.0–16.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.8% | 10.4–13.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 67.2% | 64.5–70.1 |
| Visits to doctor for routine checkup within the past year among adults | 69.9% | 66.9–73.0 |
| Cholesterol screening among adults | 77.8% | 75.7–79.9 |
| Colorectal cancer screening among adults aged 45–75 years | 58.3% | 54.5–62.0 |
| Visited dentist or dental clinic in the past year among adults | 56.9% | 54.0–59.7 |
| Mammography use among women aged 50-74 years | 67.2% | 61.2–72.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.0% | 14.9–19.4 |
| Current cigarette smoking among adults | 17.3% | 15.4–19.4 |
| No leisure-time physical activity among adults | 23.9% | 21.2–26.9 |
| Short sleep duration among adults | 37.6% | 34.1–41.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.7% | 19.8–24.0 |
| Frequent mental distress among adults | 17.5% | 15.9–19.4 |
| Frequent physical distress among adults | 13.8% | 12.5–15.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.4% | 13.9–17.1 |
| Any disability among adults | 31.2% | 28.4–34.3 |
| Hearing disability among adults | 7.6% | 6.9–8.5 |
| Independent living disability among adults | 8.7% | 7.9–9.7 |
| Mobility disability among adults | 13.2% | 11.9–14.7 |
| Self-care disability among adults | 4.0% | 3.7–4.3 |
| Vision disability among adults | 5.7% | 5.3–6.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.4% | 24.7–30.2 |
| Food insecurity in the past 12 months among adults | 18.8% | 16.8–21.0 |
| Received food stamps in the past 12 months among adults | 14.5% | 12.8–16.5 |
| Housing insecurity in the past 12 months among adults | 15.9% | 14.1–17.8 |
| Lack of reliable transportation in the past 12 months among adults | 11.4% | 10.3–12.7 |
| Loneliness among adults | 35.4% | 32.3–38.7 |
| Utility services shut-off threat in the past 12 months among adults | 10.9% | 9.7–12.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.4% | 10.6% (3.1–25.8%) n=32,364 | 13.7% (1.4–38.0%) n=230 |
| Uninsured 18–64 | 18.8% | 9.0% (1.5–24.3%) n=32,286 | 20.8% (8.5–50.0%) n=225 |
| No HS diploma (25+) | 9.2% | 7.9% (1.8–20.7%) n=32,505 | 8.4% (1.4–25.1%) n=230 |
| Bachelor's or higher (25+) | 30.4% | 23.3% (9.2–53.6%) n=32,505 | 15.0% (0.0–37.4%) n=230 |
| Unemployment rate (16+) | 4.3% | 3.9% (0.0–9.8%) n=32,274 | 8.6% (0.0–29.5%) n=226 |
| Households without a vehicle | 12.1% | 3.9% (0.0–12.5%) n=32,322 | 31.1% (1.0–95.5%) n=228 |
| Broadband subscription | 90.4% | 89.3% (75.1–97.1%) n=32,322 | 84.8% (49.6–96.0%) n=228 |
| Housing cost burden (≥30% income) | 36.0% | 23.7% (10.6–40.0%) n=32,322 | 17.0% (0.0–33.2%) n=228 |
| Homeownership rate | 31.8% | 78.7% (51.7–94.0%) n=32,322 | 71.7% (45.5–94.4%) n=228 |
| Crowded housing (>1 per room) | 4.3% | 1.3% (0.0–6.3%) n=32,322 | 8.5% (0.0–48.6%) n=228 |
| Foreign-born population | 15.0% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–11.1%) n=231 |
| Single-parent households | 54.7% | 53.6% (37.3–74.1%) n=32,087 | 44.2% (18.7–68.2%) n=221 |
| Population 65+ | 11.2% | 19.4% (10.8–33.6%) n=32,553 | 12.7% (3.0–29.7%) n=231 |
| Median age | 36.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 35.7 yr (22.6–53.6) n=226 |
| Median household income | $76,144 | $72,070 ($46,039–$118,707) n=30,318 | $66,823 ($39,905–$108,850) n=197 |
| Median home value | $339,000 | $222,200 ($100,300–$579,820) n=30,049 | $177,500 ($66,830–$395,940) n=178 |
| Median gross rent | $1,192 | $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 | 73.5 yr ± 1.19 | 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 1.19 years of 73.5, 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