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ZipVitals

ZIP code

99572

in Cooper Landing, AlaskaPopulation 241

61.67/ 100

Ranked #3,718 of 32,066 US ZIPs (top 11.6%)

Ranked #6 of 211 Alaska ZIPs (top 2.9%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Broad coverage across health domains

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.

Mammography

54.5%

in the bottom 0.3% nationally

Higher is healthier

ST15th
US1st
Definition & source ›

The estimated share of women aged 50–74 who had a mammogram within the past two years.

Full methodology ›

Air-toxics cancer risk

9 per million

in the bottom 0.4% nationally

Lower is healthier

ST44th
US1st
Definition & 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 ›

Industrial-pollution burden

in the bottom 0.6% nationally

Lower is healthier

ST1st
US1st
Definition & source ›

The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.

Full methodology ›

Poverty rate

0.00%

at the national minimum

Lower is healthier

ST1st
US1st
Definition & source ›

The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.

Full methodology ›

Median household income

$143,672

in the top 4.6% nationally

Higher is healthier

ST97th
US95th
Definition & source ›

The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.

Full methodology ›

Walkability

1 intersections/sq mi

in the bottom 2.6% nationally

Higher is healthier

ST51st
US3rd
Definition & source ›

The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.

Full methodology ›

Home broadband subscription

100%

at the national maximum

Higher is healthier

ST99th
US99th
Definition & source ›

The share of households with a broadband internet subscription.

Full methodology ›

Short sleep

27.2%

in the bottom 1.8% nationally

Lower is healthier

ST1st
US2nd
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Housing insecurity

6.2%

in the bottom 3.3% nationally

Lower is healthier

ST1st
US3rd
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Food insecurity

7.1%

in the bottom 4.0% nationally

Lower is healthier

ST1st
US4th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

The read

On balance, and by the composite measure, Cooper Landing, Alaska (ZIP 99572) ranks in the top 11.6% healthiest ZIPs nationally (3,718th) and the top 2.9% of Alaska (6th), based on limited data; treat as directional.

continue reading

The measures split the difference for this area: modeled air-toxics cancer risk registers in the bottom 0.4% nationally, and industrial-pollution burden sits in the bottom 0.6% nationally. Poverty rests at the national minimum, and household income is in the top 4.6% nationally. Home broadband subscription stands at the national maximum, modeled short sleep settles in the bottom 1.8% nationally, and modeled housing insecurity lies in the bottom 3.3% nationally. Modeled food insecurity resides in the bottom 4.0% nationally. Against that, modeled mammography lands in the bottom 0.3% nationally, and walkability registers in the bottom 2.6% nationally.

In plainer terms, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. For a healthier nearby ZIP overall, look to ZIP 99587, about 27 miles away.

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 70%

22%

Social Need / SDOH

healthier than 77%

17%

Environmental HazardPartial

in the top 0.2%

14%

Risk Behavior

healthier than 92%

11%

Mental Health

healthier than 98%

9%

Disability

healthier than 87%

8%

Holding it back

Preventive Care

healthier than 16%

13%

Healthcare Access

healthier than 6%

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. 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
MeasureCrude prevalence95% CI
Arthritis among adults27.4%24.2–30.6
High blood pressure among adults36.2%32.3–39.9
Cancer (non-skin) or melanoma among adults11.4%10.2–12.6
Current asthma among adults9.2%8.0–10.4
Coronary heart disease among adults6.8%5.7–8.2
Chronic obstructive pulmonary disease among adults6.1%4.5–7.9
Depression among adults17.2%14.7–19.9
Diagnosed diabetes among adults8.9%7.3–10.7
High cholesterol among adults who have ever been screened40.7%37.0–44.5
Obesity among adults29.0%24.4–33.8
Stroke among adults3.2%2.7–3.9
All teeth lost among adults aged >=65 years11.3%9.3–14.0
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years7.0%4.7–10.3
Taking medicine to control high blood pressure among adults with high blood pressure73.8%70.1–77.2
Visits to doctor for routine checkup within the past year among adults69.0%65.2–72.4
Cholesterol screening among adults86.3%83.8–88.5
Colorectal cancer screening among adults aged 45–75 years69.2%65.4–73.2
Visited dentist or dental clinic in the past year among adults64.9%62.0–68.0
Mammography use among women aged 50-74 years54.5%47.6–61.7
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults17.1%14.5–19.7
Current cigarette smoking among adults12.1%8.5–16.0
No leisure-time physical activity among adults16.9%12.9–21.2
Short sleep duration among adults27.2%23.8–31.2
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults14.6%11.2–18.5
Frequent mental distress among adults11.5%9.7–13.5
Frequent physical distress among adults12.1%9.9–14.6
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults9.6%7.7–11.8
Any disability among adults25.0%20.4–29.8
Hearing disability among adults8.5%7.1–9.9
Independent living disability among adults5.4%4.2–6.6
Mobility disability among adults10.8%8.4–13.6
Self-care disability among adults2.7%2.1–3.5
Vision disability among adults3.3%2.6–4.0
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults18.6%15.3–22.2
Food insecurity in the past 12 months among adults7.1%4.9–9.7
Received food stamps in the past 12 months among adults4.6%3.0–6.6
Housing insecurity in the past 12 months among adults6.2%4.6–8.0
Lack of reliable transportation in the past 12 months among adults4.6%3.6–5.7
Loneliness among adults27.8%24.0–31.9
Utility services shut-off threat in the past 12 months among adults4.2%3.2–5.2
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)AK median (p10–p90)
Poverty rate0.0%10.6% (3.1–25.8%) n=32,36413.7% (1.4–38.0%) n=230
Uninsured 18–644.1%9.0% (1.5–24.3%) n=32,28620.8% (8.5–50.0%) n=225
No HS diploma (25+)3.6%7.9% (1.8–20.7%) n=32,5058.4% (1.4–25.1%) n=230
Bachelor's or higher (25+)31.5%23.3% (9.2–53.6%) n=32,50515.0% (0.0–37.4%) n=230
Unemployment rate (16+)0.0%3.9% (0.0–9.8%) n=32,2748.6% (0.0–29.5%) n=226
Households without a vehicle0.0%3.9% (0.0–12.5%) n=32,32231.1% (1.0–95.5%) n=228
Broadband subscription100.0%89.3% (75.1–97.1%) n=32,32284.8% (49.6–96.0%) n=228
Housing cost burden (≥30% income)7.3%23.7% (10.6–40.0%) n=32,32217.0% (0.0–33.2%) n=228
Homeownership rate70.9%78.7% (51.7–94.0%) n=32,32271.7% (45.5–94.4%) n=228
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3228.5% (0.0–48.6%) n=228
Foreign-born population2.1%2.6% (0.0–18.6%) n=32,5530.8% (0.0–11.1%) n=231
Single-parent households45.7%53.6% (37.3–74.1%) n=32,08744.2% (18.7–68.2%) n=221
Population 65+11.2%19.4% (10.8–33.6%) n=32,55312.7% (3.0–29.7%) n=231
Median age46.1 yr42.2 yr (33.0–56.3) n=32,29235.7 yr (22.6–53.6) n=226
Median household income$143,672$72,070 ($46,039–$118,707) n=30,318$66,823 ($39,905–$108,850) n=197
Median home value$428,000$222,200 ($100,300–$579,820) n=30,049$177,500 ($66,830–$395,940) n=178
Median gross rent$1,021 ($677–$1,912) n=25,670$1,078 ($688–$1,571) n=143
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)AK median (p10–p90)
Life expectancy at birth80.3 yr ± 1.4378.9 yr (74.7–82.8) n=31,30879.0 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 1.43 years of 80.3, and it’s very unlikely to be off by more than twice that.

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