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ZipVitals

ZIP code

99349

in Mattawa, WashingtonPopulation 8,143

42.84/ 100

Ranked #24,515 of 32,066 US ZIPs (bottom 24%)

Ranked #550 of 581 Washington ZIPs (bottom 5.4%)

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.

Uninsured (under 65)

33.9%

in the top 0.6% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults aged 18–64 with no current health-insurance coverage.

Full methodology ›

Colon-cancer screening

48.3%

in the bottom 1.5% nationally

Higher is healthier

ST1st
US1st
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Mammography

64.6%

in the bottom 2.5% nationally

Higher is healthier

ST4th
US2nd
Definition & source ›

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

Full methodology ›

Cognitive disability

22.7%

in the top 2.8% nationally

Lower is healthier

ST99th
US97th
Definition & source ›

The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.

Full methodology ›

Vision disability

10.1%

in the top 4.7% nationally

Lower is healthier

ST99th
US95th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Fair or poor health

32.7%

in the top 4.6% nationally

Lower is healthier

ST99th
US95th
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

Crowded housing

13.5%

in the top 2.7% nationally

Lower is healthier

ST97th
US97th
Definition & source ›

The share of occupied homes with more than one person per room, the Census definition of crowded housing.

Full methodology ›

Distance to a Superfund site

0.5 mi

in the bottom 5.5% nationally

Higher is healthier

ST11th
US5th
Definition & 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 ›

Walkability

1.8 intersections/sq mi

in the bottom 6.2% nationally

Higher is healthier

ST12th
US6th
Definition & source ›

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

Full methodology ›

Fine-particle (PM2.5) exceedance

1.4%

in the top 6.9% nationally

Lower is healthier

ST67th
US93rd
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 ›

The read

Mattawa, Washington (ZIP 99349), by its overall standing, sits in the bottom 24% nationally (24,515th) and the bottom 5.4% of Washington (550th).

continue reading

The data points to real strain across a number of measures here: modeled uninsured sits in the top 0.6% nationally, colon screening settles in the bottom 1.5% nationally, and mammography registers in the bottom 2.5% nationally. Modeled cognitive disability stands in the top 2.8% nationally, vision disability lands in the top 4.7% nationally, and fair or poor health is in the top 4.6% nationally. Crowded housing resides in the top 2.7% nationally, and distance to a Superfund site rests in the bottom 5.5% nationally. Walkability lies in the bottom 6.2% nationally, and modeled fine-particle sits in the top 6.9% nationally.

Defined in plain terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. The nearest ZIP ranking healthier overall is ZIP 98936, 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

Chronic Disease Burden

healthier than 78%

21%

Social Need / SDOH

healthier than 68%

16%

Climate / Disaster Risk

healthier than 64%

5%

About typical

Environmental Hazard

healthier than 44%

14%

Healthcare Access

healthier than 42%

5%

Holding it back

Preventive Care

in the bottom 0.10%

13%

Risk Behavior

healthier than 26%

11%

Mental Health

healthier than 35%

8%

Disability

healthier than 12%

7%

Lifting this score

Chronic Disease Burden

healthier than 61%

21%

About typical

Environmental Hazard

healthier than 44%

14%

Mental Health

healthier than 49%

8%

Holding it back

Social Need / SDOH

healthier than 27%

16%

Preventive Care

in the bottom 0.3%

13%

Risk Behavior

healthier than 1%

11%

Disability

healthier than 2%

7%

Climate / Disaster Risk

healthier than 25%

5%

Healthcare Access

healthier than 34%

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 adults20.6%18.5–22.9
High blood pressure among adults30.4%27.5–33.5
Cancer (non-skin) or melanoma among adults4.5%4.1–5.0
Current asthma among adults10.4%9.3–11.7
Coronary heart disease among adults5.9%5.3–6.6
Chronic obstructive pulmonary disease among adults5.9%5.1–6.6
Depression among adults22.2%19.5–25.4
Diagnosed diabetes among adults13.0%11.4–14.6
High cholesterol among adults who have ever been screened32.0%29.0–35.4
Obesity among adults43.0%38.0–48.5
Stroke among adults3.3%3.0–3.6
All teeth lost among adults aged >=65 years15.0%12.6–17.5
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years33.9%29.7–38.4
Taking medicine to control high blood pressure among adults with high blood pressure64.4%61.1–67.6
Visits to doctor for routine checkup within the past year among adults64.4%60.5–68.4
Cholesterol screening among adults72.5%69.7–75.3
Colorectal cancer screening among adults aged 45–75 years48.3%44.2–52.5
Visited dentist or dental clinic in the past year among adults45.6%42.7–48.7
Mammography use among women aged 50-74 years64.6%57.3–71.4
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults17.4%14.7–20.5
Current cigarette smoking among adults14.9%12.9–17.0
No leisure-time physical activity among adults34.2%30.1–38.7
Short sleep duration among adults34.8%30.7–39.3
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults32.7%29.1–36.3
Frequent mental distress among adults19.2%17.2–21.4
Frequent physical distress among adults17.5%15.5–19.5
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults22.7%20.2–25.3
Any disability among adults39.9%35.7–44.1
Hearing disability among adults7.3%6.5–8.1
Independent living disability among adults11.4%10.0–12.7
Mobility disability among adults16.3%14.3–18.3
Self-care disability among adults6.0%5.4–6.7
Vision disability among adults10.1%9.1–11.2
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WA median (p10–p90)
Poverty rate21.8%10.6% (3.1–25.8%) n=32,3649.6% (3.5–22.3%) n=583
Uninsured 18–6457.6%9.0% (1.5–24.3%) n=32,2868.2% (1.8–22.7%) n=582
No HS diploma (25+)46.3%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.5%) n=588
Bachelor's or higher (25+)12.1%23.3% (9.2–53.6%) n=32,50527.4% (12.3–59.7%) n=588
Unemployment rate (16+)7.6%3.9% (0.0–9.8%) n=32,2744.5% (0.0–9.7%) n=584
Households without a vehicle6.7%3.9% (0.0–12.5%) n=32,3223.7% (0.0–10.2%) n=580
Broadband subscription93.9%89.3% (75.1–97.1%) n=32,32292.7% (81.1–97.4%) n=580
Housing cost burden (≥30% income)34.6%23.7% (10.6–40.0%) n=32,32228.9% (14.6–40.6%) n=580
Homeownership rate54.3%78.7% (51.7–94.0%) n=32,32275.2% (48.2–91.7%) n=580
Crowded housing (>1 per room)13.5%1.3% (0.0–6.3%) n=32,3222.6% (0.0–7.9%) n=580
Foreign-born population42.4%2.6% (0.0–18.6%) n=32,5536.7% (0.3–27.6%) n=588
Single-parent households35.9%53.6% (37.3–74.1%) n=32,08754.3% (40.5–76.0%) n=574
Population 65+9.7%19.4% (10.8–33.6%) n=32,55318.9% (10.3–36.9%) n=588
Median age29.4 yr42.2 yr (33.0–56.3) n=32,29241.0 yr (32.9–58.8) n=584
Median household income$61,333$72,070 ($46,039–$118,707) n=30,318$84,646 ($56,217–$132,145) n=547
Median home value$427,800$222,200 ($100,300–$579,820) n=30,049$452,750 ($241,540–$826,380) n=542
Median gross rent$1,243$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 birth86.6 yr ± 2.3678.9 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 2.36 years of 86.6, 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