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ZipVitals

ZIP code

98673

in Wishram, WashingtonPopulation 411

44.14/ 100

Ranked #23,282 of 32,066 US ZIPs (bottom 27%)

Ranked #533 of 581 Washington ZIPs (bottom 8.3%)

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

Robust across all 9 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.

Unemployment rate

17.6%

in the top 2.6% nationally

Lower is healthier

ST99th
US97th
Definition & source ›

The share of the civilian labor force that is unemployed.

Full methodology ›

Households without a vehicle

21.6%

in the top 4.0% nationally

Lower is healthier

ST98th
US96th
Definition & source ›

The share of households with no vehicle available.

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 ›

Poverty rate

33.8%

in the top 4.9% nationally

Lower is healthier

ST97th
US95th
Definition & source ›

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

Full methodology ›

Arsenic in groundwater

21.7%

in the top 5.7% nationally

Lower is healthier

ST92nd
US94th
Definition & source ›

The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.

A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.

Full methodology ›

Mammography

67.4%

in the bottom 6.3% nationally

Higher is healthier

ST13th
US6th
Definition & source ›

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

Full methodology ›

Home broadband subscription

69.9%

in the bottom 6.1% nationally

Higher is healthier

ST3rd
US6th
Definition & source ›

The share of households with a broadband internet subscription.

Full methodology ›

Transportation noise

8.9%

in the top 10.4% nationally

Lower is healthier

ST91st
US90th
Definition & 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 ›

Median household income

$42,188

in the bottom 7.0% nationally

Higher is healthier

ST2nd
US7th
Definition & source ›

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

Full methodology ›

The read

Wishram, Washington (ZIP 98673), on the composite measure, lands in the bottom 27% nationally (23,282nd) and the bottom 8.3% of Washington (533rd).

continue reading

The profile cuts both ways, and the readings bear that out: modeled industrial-pollution burden stands in the bottom 10.3% nationally. Working the other way, unemployment is in the top 2.6% nationally, households without a vehicle rests in the top 4.0% nationally, and modeled tree cover sits at the national minimum. Poverty registers in the top 4.9% nationally, and modeled arsenic lands in the top 5.7% nationally. Modeled mammography resides in the bottom 6.3% nationally, and home broadband subscription lies in the bottom 6.1% nationally. Fiber broadband settles at the national minimum, shared with about 19% of ZIPs. Modeled transportation noise stands in the top 10.4% nationally.

In everyday language, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. A healthier neighbor overall sits at ZIP 97058, 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.

Compare within

Lifting this score

Risk Behavior

healthier than 73%

11%

About typical

Climate / Disaster Risk

healthier than 58%

5%

Holding it back

Chronic Disease Burden

healthier than 35%

21%

Social Need / SDOH

healthier than 12%

16%

Environmental Hazard

healthier than 29%

14%

Preventive Care

healthier than 16%

13%

Mental Health

healthier than 21%

8%

Disability

healthier than 33%

7%

Healthcare Access

healthier than 33%

5%

Nothing measured is lifting this score.

Holding it back

Chronic Disease Burden

healthier than 13%

21%

Social Need / SDOH

in the bottom 0.3%

16%

Environmental Hazard

healthier than 30%

14%

Preventive Care

healthier than 25%

13%

Risk Behavior

healthier than 25%

11%

Mental Health

healthier than 29%

8%

Disability

healthier than 13%

7%

Climate / Disaster Risk

healthier than 20%

5%

Healthcare Access

healthier than 29%

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 adults32.4%29.2–35.5
High blood pressure among adults35.4%31.8–38.9
Cancer (non-skin) or melanoma among adults10.0%9.1–11.0
Current asthma among adults12.7%11.3–14.2
Coronary heart disease among adults8.4%7.4–9.5
Chronic obstructive pulmonary disease among adults8.4%7.0–10.1
Depression among adults26.1%22.8–29.6
Diagnosed diabetes among adults12.7%10.9–14.6
High cholesterol among adults who have ever been screened36.3%32.6–40.1
Obesity among adults34.9%29.4–40.5
Stroke among adults4.4%3.9–5.0
All teeth lost among adults aged >=65 years15.6%12.9–18.6
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years7.1%5.4–9.4
Taking medicine to control high blood pressure among adults with high blood pressure75.9%72.7–78.8
Visits to doctor for routine checkup within the past year among adults71.3%67.7–74.9
Cholesterol screening among adults83.7%81.3–85.8
Colorectal cancer screening among adults aged 45–75 years62.9%58.2–67.4
Visited dentist or dental clinic in the past year among adults59.1%55.7–62.5
Mammography use among women aged 50-74 years67.4%59.7–74.7
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults15.6%13.1–18.5
Current cigarette smoking among adults14.8%12.1–18.0
No leisure-time physical activity among adults21.0%17.1–25.2
Short sleep duration among adults34.0%29.0–39.4
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults21.1%17.8–24.8
Frequent mental distress among adults18.3%16.0–20.7
Frequent physical distress among adults16.4%14.2–18.8
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults16.2%14.0–18.7
Any disability among adults33.3%28.8–38.0
Hearing disability among adults9.5%8.3–10.6
Independent living disability among adults9.3%8.0–10.9
Mobility disability among adults16.0%13.6–18.7
Self-care disability among adults4.8%4.1–5.7
Vision disability among adults5.7%4.9–6.6
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WA median (p10–p90)
Poverty rate33.8%10.6% (3.1–25.8%) n=32,3649.6% (3.5–22.3%) n=583
Uninsured 18–646.1%9.0% (1.5–24.3%) n=32,2868.2% (1.8–22.7%) n=582
No HS diploma (25+)28.3%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.5%) n=588
Bachelor's or higher (25+)3.7%23.3% (9.2–53.6%) n=32,50527.4% (12.3–59.7%) n=588
Unemployment rate (16+)17.6%3.9% (0.0–9.8%) n=32,2744.5% (0.0–9.7%) n=584
Households without a vehicle21.6%3.9% (0.0–12.5%) n=32,3223.7% (0.0–10.2%) n=580
Broadband subscription69.9%89.3% (75.1–97.1%) n=32,32292.7% (81.1–97.4%) n=580
Housing cost burden (≥30% income)31.4%23.7% (10.6–40.0%) n=32,32228.9% (14.6–40.6%) n=580
Homeownership rate67.3%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 population0.7%2.6% (0.0–18.6%) n=32,5536.7% (0.3–27.6%) n=588
Single-parent households67.7%53.6% (37.3–74.1%) n=32,08754.3% (40.5–76.0%) n=574
Population 65+19.0%19.4% (10.8–33.6%) n=32,55318.9% (10.3–36.9%) n=588
Median age49.4 yr42.2 yr (33.0–56.3) n=32,29241.0 yr (32.9–58.8) n=584
Median household income$42,188$72,070 ($46,039–$118,707) n=30,318$84,646 ($56,217–$132,145) n=547
Median home value$162,000$222,200 ($100,300–$579,820) n=30,049$452,750 ($241,540–$826,380) n=542
Median gross rent$817$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 birth80.7 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 80.7, 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