ZIP code
99709
in Fairbanks, AlaskaPopulation 29,551
55.10/ 100
Ranked #9,343 of 32,066 US ZIPs (top 29%)
Ranked #28 of 211 Alaska ZIPs (top 13.3%)
Too few scored ZIPs in the Fairbanks-College, AK metro area to rank within it.
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 0.8% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Natural-disaster risk
in the top 1.7% nationally
Lower is healthier
ST97thUS98thDefinition & 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 ›Mammography
65.6%
in the bottom 3.5% nationally
Higher is healthier
ST77thUS3rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Transportation noise
15.7%
in the top 4.0% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Transit access
4.3 per 1,000 residents
in the top 6.5% nationally
Higher is healthier
ST96thUS94thDefinition & 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 ›Diabetes
8.4%
in the bottom 5.7% nationally
Lower is healthier
ST10thUS6thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Mobility disability
9.9%
in the bottom 8.7% nationally
Lower is healthier
ST9thUS9thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Dental provider access
0.8 per 1,000 residents
in the top 10.9% nationally
Higher is healthier
ST94thUS89thDefinition & 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 ›Coronary heart disease
5.0%
in the bottom 9.7% nationally
Lower is healthier
ST9thUS10thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Stroke
2.7%
in the bottom 10.2% nationally
Lower is healthier
ST9thUS10thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›The read
ZIP 99709, one of several in Fairbanks, Alaska, by its overall standing, sits in the top 29% healthiest ZIPs nationally (9,343rd) and the top 13.3% of Alaska (28th), based on limited data; treat as directional.
The measures fall on both sides of the ledger for this area: transit lands in the top 6.5% nationally, modeled diabetes is in the bottom 5.7% nationally, and modeled mobility disability resides in the bottom 8.7% nationally. Dental providers rests in the top 10.9% nationally, modeled coronary heart disease lies in the bottom 9.7% nationally, and modeled stroke sits in the bottom 10.2% nationally. Set against that, modeled expected annual loss settles in the top 0.8% nationally, and disaster risk registers in the top 1.7% nationally. Modeled mammography stands in the bottom 3.5% nationally, and transportation noise lands in the top 4.0% nationally.
Held up against its neighbors, expected annual loss runs far higher than the surrounding ZIPs on this measure. Defined in plain terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. The nearest ZIP ranking healthier overall is ZIP 99712, 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 86%
22%
Mental Health
healthier than 78%
9%
Disability
healthier than 85%
8%
Healthcare Access
healthier than 87%
6%
About typical
Risk Behavior
healthier than 58%
11%
Holding it back
Social Need / SDOH
healthier than 39%
17%
Environmental Hazard
healthier than 38%
14%
Preventive Care
healthier than 7%
13%
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
99701
Alaskashares a border
Score 46.96
Closest healthier
99712
Alaskashares a border
Score 58.54
Similar health profile
60073
Illinois98% similar profile
Score 54.93
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 | 21.6% | 19.4–24.0 |
| High blood pressure among adults | 31.8% | 29.0–34.9 |
| Cancer (non-skin) or melanoma among adults | 7.2% | 6.5–7.9 |
| Current asthma among adults | 10.3% | 9.2–11.6 |
| Coronary heart disease among adults | 5.0% | 4.5–5.5 |
| Chronic obstructive pulmonary disease among adults | 5.1% | 4.6–5.7 |
| Depression among adults | 20.7% | 18.0–23.6 |
| Diagnosed diabetes among adults | 8.4% | 7.4–9.6 |
| High cholesterol among adults who have ever been screened | 33.9% | 30.9–37.2 |
| Obesity among adults | 35.5% | 31.0–40.3 |
| Stroke among adults | 2.7% | 2.5–2.9 |
| All teeth lost among adults aged >=65 years | 9.0% | 7.3–10.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 7.2–9.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 67.4% | 64.3–70.6 |
| Visits to doctor for routine checkup within the past year among adults | 67.6% | 64.1–71.0 |
| Cholesterol screening among adults | 81.0% | 78.9–82.9 |
| Colorectal cancer screening among adults aged 45–75 years | 62.9% | 58.8–66.8 |
| Visited dentist or dental clinic in the past year among adults | 62.7% | 59.7–65.7 |
| Mammography use among women aged 50-74 years | 65.6% | 58.3–72.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.5% | 15.0–20.3 |
| Current cigarette smoking among adults | 13.5% | 11.9–15.4 |
| No leisure-time physical activity among adults | 20.4% | 17.8–23.4 |
| Short sleep duration among adults | 37.0% | 32.8–41.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.8% | 14.1–17.7 |
| Frequent mental distress among adults | 15.2% | 13.6–17.0 |
| Frequent physical distress among adults | 12.0% | 10.7–13.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.6% | 11.2–14.1 |
| Any disability among adults | 27.4% | 24.5–30.4 |
| Hearing disability among adults | 6.6% | 5.9–7.4 |
| Independent living disability among adults | 6.6% | 5.9–7.3 |
| Mobility disability among adults | 9.9% | 8.8–11.1 |
| Self-care disability among adults | 2.8% | 2.6–3.1 |
| Vision disability among adults | 3.8% | 3.5–4.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.2% | 21.2–27.2 |
| Food insecurity in the past 12 months among adults | 10.4% | 9.0–12.0 |
| Received food stamps in the past 12 months among adults | 7.5% | 6.3–8.6 |
| Housing insecurity in the past 12 months among adults | 9.7% | 8.4–11.1 |
| Lack of reliable transportation in the past 12 months among adults | 7.4% | 6.5–8.3 |
| Loneliness among adults | 32.2% | 28.5–35.9 |
| Utility services shut-off threat in the past 12 months among adults | 6.5% | 5.6–7.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.5% | 10.6% (3.1–25.8%) n=32,364 | 13.7% (1.4–38.0%) n=230 |
| Uninsured 18–64 | 10.8% | 9.0% (1.5–24.3%) n=32,286 | 20.8% (8.5–50.0%) n=225 |
| No HS diploma (25+) | 4.2% | 7.9% (1.8–20.7%) n=32,505 | 8.4% (1.4–25.1%) n=230 |
| Bachelor's or higher (25+) | 43.3% | 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 | 4.8% | 3.9% (0.0–12.5%) n=32,322 | 31.1% (1.0–95.5%) n=228 |
| Broadband subscription | 90.6% | 89.3% (75.1–97.1%) n=32,322 | 84.8% (49.6–96.0%) n=228 |
| Housing cost burden (≥30% income) | 27.9% | 23.7% (10.6–40.0%) n=32,322 | 17.0% (0.0–33.2%) n=228 |
| Homeownership rate | 64.8% | 78.7% (51.7–94.0%) n=32,322 | 71.7% (45.5–94.4%) n=228 |
| Crowded housing (>1 per room) | 4.5% | 1.3% (0.0–6.3%) n=32,322 | 8.5% (0.0–48.6%) n=228 |
| Foreign-born population | 6.9% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–11.1%) n=231 |
| Single-parent households | 55.9% | 53.6% (37.3–74.1%) n=32,087 | 44.2% (18.7–68.2%) n=221 |
| Population 65+ | 17.4% | 19.4% (10.8–33.6%) n=32,553 | 12.7% (3.0–29.7%) n=231 |
| Median age | 37.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 35.7 yr (22.6–53.6) n=226 |
| Median household income | $86,294 | $72,070 ($46,039–$118,707) n=30,318 | $66,823 ($39,905–$108,850) n=197 |
| Median home value | $304,800 | $222,200 ($100,300–$579,820) n=30,049 | $177,500 ($66,830–$395,940) n=178 |
| Median gross rent | $1,337 | $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 ± 1.01 | 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 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