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ZipVitals

ZIP code

98832

in Marlin, WashingtonPopulation 87

54.56/ 100

Ranked #9,991 of 32,066 US ZIPs (top 31%)

Ranked #255 of 581 Washington ZIPs (top 44%)

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.

Walkability

1.2 intersections/sq mi

in the bottom 3.5% nationally

Higher is healthier

ST5th
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 ›

Housing-cost burden

1.8%

in the bottom 4.0% nationally

Lower is healthier

ST3rd
US4th
Definition & source ›

The share of households spending 30% or more of their income on housing.

Full methodology ›

Fine-particle (PM2.5) exceedance

2.0%

in the top 4.6% nationally

Lower is healthier

ST75th
US95th
Definition & source ›

The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.

Full methodology ›

Tree cover

0.00%

at the national minimum

Higher is healthier

ST1st
US1st
Definition & source ›

The share of this ZIP’s land area covered by forest.

Full methodology ›

Short sleep

28.8%

in the bottom 5.2% nationally

Lower is healthier

ST20th
US5th
Definition & source ›

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

Full methodology ›

Slow internet speeds

1.9%

in the top 6.2% nationally

Lower is healthier

ST93rd
US94th
Definition & source ›

The share of homes whose fastest available download speed is under 10 Mbps.

Full methodology ›

Median household income

$31,964

in the bottom 2.5% nationally

Higher is healthier

ST1st
US2nd
Definition & source ›

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

Full methodology ›

Energy-cost burden

1.6%

in the bottom 6.5% nationally

Lower is healthier

ST28th
US6th
Definition & 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 ›

Tooth loss

6.9%

in the bottom 7.8% nationally

Lower is healthier

ST17th
US8th
Definition & source ›

The estimated share of adults aged 65 and older who have lost all of their natural teeth.

Full methodology ›

Dry extreme heat

20.8 days/year

in the top 22% nationally

Lower is healthier

ST94th
US78th
Definition & source ›

The average number of days per year with a modeled daily high of at least 95 °F.

Full methodology ›

The read

Judged by its overall standing, Marlin, Washington (ZIP 98832) sits in the top 31% healthiest ZIPs nationally (9,991st) and the top 44% of Washington (255th), based on limited data; treat as directional.

continue reading

A healthy showing across the board, and a few measures carry it: housing-cost burden is in the bottom 4.0% nationally, and modeled short sleep lies in the bottom 5.2% nationally. Unemployment registers at the national minimum, shared with about 15% of ZIPs. Households without a vehicle is at the national minimum, shared with about 16% of ZIPs. Modeled energy burden lies in the bottom 6.5% nationally. On the other hand, walkability registers in the bottom 3.5% nationally, and modeled fine-particle is in the top 4.6% nationally. Modeled tree cover lies at the national minimum, and slow internet speeds registers in the top 6.2% nationally. Household income is in the bottom 2.5% nationally.

Put plainly, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Energy burden is the share of household income that goes to home energy bills. A healthier nearby ZIP overall is ZIP 98850, about 35 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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 62%

21%

Social Need / SDOH

healthier than 78%

16%

Risk Behavior

healthier than 87%

11%

Disability

healthier than 62%

7%

Climate / Disaster RiskPartial

healthier than 70%

5%

About typical

Environmental Hazard

healthier than 50%

14%

Holding it back

Preventive Care

healthier than 37%

13%

Mental Health

healthier than 33%

8%

Healthcare Access

healthier than 19%

5%

Lifting this score

Preventive Care

healthier than 63%

13%

Risk Behavior

healthier than 60%

11%

About typical

Social Need / SDOH

healthier than 45%

16%

Environmental Hazard

healthier than 50%

14%

Mental Health

healthier than 45%

8%

Holding it back

Chronic Disease Burden

healthier than 35%

21%

Disability

healthier than 40%

7%

Climate / Disaster RiskPartial

healthier than 32%

5%

Healthcare Access

healthier than 16%

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.

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 adults29.6%26.9–32.3
High blood pressure among adults34.6%31.6–37.8
Cancer (non-skin) or melanoma among adults9.8%8.9–10.9
Current asthma among adults11.4%10.1–12.7
Coronary heart disease among adults7.0%6.1–7.9
Chronic obstructive pulmonary disease among adults6.7%5.5–7.8
Depression among adults25.3%22.2–28.6
Diagnosed diabetes among adults10.6%9.1–12.0
High cholesterol among adults who have ever been screened36.2%33.1–39.6
Obesity among adults35.2%30.4–40.3
Stroke among adults3.6%3.1–4.0
All teeth lost among adults aged >=65 years6.9%5.8–8.2
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years8.9%7.1–10.9
Taking medicine to control high blood pressure among adults with high blood pressure75.5%72.9–78.0
Visits to doctor for routine checkup within the past year among adults73.1%69.9–76.4
Cholesterol screening among adults83.0%80.9–85.3
Colorectal cancer screening among adults aged 45–75 years72.1%68.5–75.6
Visited dentist or dental clinic in the past year among adults67.0%64.1–69.7
Mammography use among women aged 50-74 years73.5%67.6–78.6
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults17.4%15.0–20.2
Current cigarette smoking among adults11.1%9.1–13.2
No leisure-time physical activity among adults20.1%16.7–23.6
Short sleep duration among adults28.8%25.2–32.9
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults17.9%15.2–20.7
Frequent mental distress among adults17.2%15.1–19.3
Frequent physical distress among adults13.6%11.7–15.4
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults14.9%12.8–17.0
Any disability among adults31.4%27.3–35.3
Hearing disability among adults8.2%7.2–9.2
Independent living disability among adults7.7%6.6–8.9
Mobility disability among adults13.1%11.1–15.2
Self-care disability among adults3.4%2.9–3.9
Vision disability among adults4.4%3.8–5.0
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WA median (p10–p90)
Poverty rate12.6%10.6% (3.1–25.8%) n=32,3649.6% (3.5–22.3%) n=583
Uninsured 18–6439.4%9.0% (1.5–24.3%) n=32,2868.2% (1.8–22.7%) n=582
No HS diploma (25+)11.7%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.5%) n=588
Bachelor's or higher (25+)5.2%23.3% (9.2–53.6%) n=32,50527.4% (12.3–59.7%) n=588
Unemployment rate (16+)0.0%3.9% (0.0–9.8%) n=32,2744.5% (0.0–9.7%) n=584
Households without a vehicle0.0%3.9% (0.0–12.5%) n=32,3223.7% (0.0–10.2%) n=580
Broadband subscription85.5%89.3% (75.1–97.1%) n=32,32292.7% (81.1–97.4%) n=580
Housing cost burden (≥30% income)1.8%23.7% (10.6–40.0%) n=32,32228.9% (14.6–40.6%) n=580
Homeownership rate72.7%78.7% (51.7–94.0%) n=32,32275.2% (48.2–91.7%) n=580
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3222.6% (0.0–7.9%) n=580
Foreign-born population8.0%2.6% (0.0–18.6%) n=32,5536.7% (0.3–27.6%) n=588
Single-parent households63.2%53.6% (37.3–74.1%) n=32,08754.3% (40.5–76.0%) n=574
Population 65+57.5%19.4% (10.8–33.6%) n=32,55318.9% (10.3–36.9%) n=588
Median age68.5 yr42.2 yr (33.0–56.3) n=32,29241.0 yr (32.9–58.8) n=584
Median household income$31,964$72,070 ($46,039–$118,707) n=30,318$84,646 ($56,217–$132,145) n=547
Median home value$309,100$222,200 ($100,300–$579,820) n=30,049$452,750 ($241,540–$826,380) n=542
Median gross rent$1,021 ($677–$1,912) n=25,670$1,416 ($840–$2,197) n=476
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)WA median (p10–p90)
Life expectancy at birth82.3 yr ± 1.6978.9 yr (74.7–82.8) n=31,30880.2 yr (77.3–83.1) n=584

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 1.69 years of 82.3, 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