ZIP code
99574
in Cordova, AlaskaPopulation 2,551
54.51/ 100
Ranked #10,059 of 32,066 US ZIPs (top 31%)
Ranked #32 of 211 Alaska ZIPs (top 15%)
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
7.4%
in the top 0.9% nationally
Lower is healthier
ST41stUS99thDefinition & 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 ›Walkability
0.035 intersections/sq mi
in the bottom 0.4% nationally
Higher is healthier
ST11thUS1stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Mammography
65.3%
in the bottom 3.2% nationally
Higher is healthier
ST75thUS3rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Grocery access
0.37 per 1,000 residents
in the top 2.7% nationally
Higher is healthier
ST98thUS97thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Distance to a Superfund site
59.2 mi
in the top 8.9% nationally
Higher is healthier
ST26thUS91stDefinition & 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 ›Pharmacy access
0.37 per 1,000 residents
in the top 9.4% nationally
Higher is healthier
ST98thUS91stDefinition & source ›
The number of pharmacies 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 9.5% nationally
Lower is healthier
ST81stUS91stDefinition & 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 ›Obesity
29.9%
in the bottom 17% nationally
Lower is healthier
ST3rdUS17thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Cognitive disability
12.5%
in the bottom 23% nationally
Lower is healthier
ST9thUS23rdDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›The read
In overall standing, Cordova, Alaska (ZIP 99574) comes out in the top 31% healthiest ZIPs nationally (10,059th) and the top 15% of Alaska (32nd), based on limited data; treat as directional.
Both sides of the picture show up plainly in this area's numbers: grocery settles in the top 2.7% nationally. Distance to an emergency room registers at the national minimum, shared with about 11% of ZIPs. Distance to a Superfund site stands in the top 8.9% nationally, and pharmacy lands in the top 9.4% nationally. Poverty is in the bottom 11.2% nationally. Distance to a community health center resides at the national minimum, shared with about 23% of ZIPs. By contrast, modeled energy burden rests in the top 0.9% nationally, and walkability lies in the bottom 0.4% nationally. Modeled mammography sits in the bottom 3.2% nationally, and disaster risk settles in the top 9.5% nationally.
In plain terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Energy burden is the share of household income that goes to home energy bills. The nearest healthier ZIP overall is ZIP 99664, 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 82%
22%
Environmental HazardPartial
healthier than 87%
14%
Risk Behavior
healthier than 61%
11%
Mental Health
healthier than 91%
9%
Disability
healthier than 77%
8%
Healthcare Access
in the top 0.00%
6%
Holding it back
Social Need / SDOH
healthier than 7%
17%
Preventive Care
healthier than 8%
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
99573
Alaskashares a border
Score 45.01
Closest healthier
99664
Alaskashares a border
Score 56.28
Similar health profile
77453
Texas96% similar profile
Score 52.66
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 | 23.6% | 20.6–26.5 |
| High blood pressure among adults | 32.6% | 28.9–36.6 |
| Cancer (non-skin) or melanoma among adults | 7.6% | 6.8–8.4 |
| Current asthma among adults | 9.8% | 8.7–11.0 |
| Coronary heart disease among adults | 6.0% | 5.3–6.8 |
| Chronic obstructive pulmonary disease among adults | 6.1% | 5.1–7.1 |
| Depression among adults | 18.0% | 15.1–21.1 |
| Diagnosed diabetes among adults | 9.4% | 8.1–10.9 |
| High cholesterol among adults who have ever been screened | 34.9% | 30.7–39.1 |
| Obesity among adults | 29.9% | 23.6–36.6 |
| Stroke among adults | 3.2% | 2.8–3.5 |
| All teeth lost among adults aged >=65 years | 12.0% | 9.6–14.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.6% | 7.0–10.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.6% | 66.9–74.0 |
| Visits to doctor for routine checkup within the past year among adults | 67.8% | 63.1–71.9 |
| Cholesterol screening among adults | 81.4% | 78.9–83.7 |
| Colorectal cancer screening among adults aged 45–75 years | 62.3% | 57.0–67.3 |
| Visited dentist or dental clinic in the past year among adults | 60.4% | 56.6–64.2 |
| Mammography use among women aged 50-74 years | 65.3% | 56.0–73.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.4% | 14.3–20.6 |
| Current cigarette smoking among adults | 14.8% | 12.2–17.5 |
| No leisure-time physical activity among adults | 21.4% | 17.4–25.5 |
| Short sleep duration among adults | 34.4% | 28.3–41.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.2% | 14.6–19.9 |
| Frequent mental distress among adults | 14.3% | 12.4–16.2 |
| Frequent physical distress among adults | 12.7% | 11.0–14.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.5% | 10.8–14.4 |
| Any disability among adults | 27.2% | 23.3–31.4 |
| Hearing disability among adults | 7.8% | 6.9–8.8 |
| Independent living disability among adults | 6.8% | 5.9–7.8 |
| Mobility disability among adults | 11.4% | 9.6–13.2 |
| Self-care disability among adults | 3.1% | 2.7–3.6 |
| Vision disability among adults | 4.2% | 3.7–4.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.6% | 20.9–28.6 |
| Food insecurity in the past 12 months among adults | 11.9% | 9.7–14.2 |
| Received food stamps in the past 12 months among adults | 7.5% | 6.0–9.1 |
| Housing insecurity in the past 12 months among adults | 9.8% | 8.1–11.5 |
| Lack of reliable transportation in the past 12 months among adults | 7.3% | 6.2–8.4 |
| Loneliness among adults | 31.5% | 26.7–36.3 |
| Utility services shut-off threat in the past 12 months among adults | 6.4% | 5.4–7.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.4% | 10.6% (3.1–25.8%) n=32,364 | 13.7% (1.4–38.0%) n=230 |
| Uninsured 18–64 | 14.0% | 9.0% (1.5–24.3%) n=32,286 | 20.8% (8.5–50.0%) n=225 |
| No HS diploma (25+) | 3.1% | 7.9% (1.8–20.7%) n=32,505 | 8.4% (1.4–25.1%) n=230 |
| Bachelor's or higher (25+) | 31.0% | 23.3% (9.2–53.6%) n=32,505 | 15.0% (0.0–37.4%) n=230 |
| Unemployment rate (16+) | 8.7% | 3.9% (0.0–9.8%) n=32,274 | 8.6% (0.0–29.5%) n=226 |
| Households without a vehicle | 9.7% | 3.9% (0.0–12.5%) n=32,322 | 31.1% (1.0–95.5%) n=228 |
| Broadband subscription | 94.9% | 89.3% (75.1–97.1%) n=32,322 | 84.8% (49.6–96.0%) n=228 |
| Housing cost burden (≥30% income) | 20.8% | 23.7% (10.6–40.0%) n=32,322 | 17.0% (0.0–33.2%) n=228 |
| Homeownership rate | 64.1% | 78.7% (51.7–94.0%) n=32,322 | 71.7% (45.5–94.4%) n=228 |
| Crowded housing (>1 per room) | 1.5% | 1.3% (0.0–6.3%) n=32,322 | 8.5% (0.0–48.6%) n=228 |
| Foreign-born population | 8.3% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–11.1%) n=231 |
| Single-parent households | 61.7% | 53.6% (37.3–74.1%) n=32,087 | 44.2% (18.7–68.2%) n=221 |
| Population 65+ | 19.8% | 19.4% (10.8–33.6%) n=32,553 | 12.7% (3.0–29.7%) n=231 |
| Median age | 37.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 35.7 yr (22.6–53.6) n=226 |
| Median household income | $85,132 | $72,070 ($46,039–$118,707) n=30,318 | $66,823 ($39,905–$108,850) n=197 |
| Median home value | $418,400 | $222,200 ($100,300–$579,820) n=30,049 | $177,500 ($66,830–$395,940) n=178 |
| Median gross rent | $1,214 | $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 | 82.2 yr ± 2.33 | 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 2.33 years of 82.2, 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