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ZipVitals

ZIP code

98953

in Zillah, WashingtonPopulation 7,166

53.08/ 100

Ranked #11,976 of 32,066 US ZIPs (top 37%)

Ranked #308 of 581 Washington ZIPs (bottom 47%)

Ranked #3 of 21 Yakima, WA ZIPs (top 14.3%)

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.

Nitrate in drinking water

43.9%

in the top 1.1% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams 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 ›

Fine-particle (PM2.5) exceedance

3.3%

in the top 2.1% nationally

Lower is healthier

ST95th
US98th
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 ›

Mental-health provider access

0.15 per 1,000 residents

in the top 6.9% nationally

Higher is healthier

ST94th
US93rd
Definition & source ›

The number of mental-health clinics 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 ›

Short sleep

29.2%

in the bottom 6.5% nationally

Lower is healthier

ST23rd
US6th
Definition & source ›

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

Full methodology ›

Crowded housing

7.7%

in the top 7.2% nationally

Lower is healthier

ST90th
US93rd
Definition & source ›

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

Full methodology ›

Industrial-pollution burden

in the bottom 9.4% nationally

Lower is healthier

ST14th
US9th
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 ›

Grocery access

0.15 per 1,000 residents

in the top 12.1% nationally

Higher is healthier

ST93rd
US88th
Definition & 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 ›

Uninsured (under 65)

15.0%

in the top 11.4% nationally

Lower is healthier

ST93rd
US89th
Definition & source ›

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

Full methodology ›

Dry extreme heat

20.6 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, Zillah, Washington (ZIP 98953) sits in the top 37% healthiest ZIPs nationally (11,976th) and the bottom 47% of Washington (308th).

continue reading

A balanced showing across the data, with a few readings each side: mental-health providers stands in the top 6.9% nationally, modeled short sleep resides in the bottom 6.5% nationally, and modeled industrial-pollution burden sits in the bottom 9.4% nationally. Grocery stands in the top 12.1% nationally, and dental providers resides in the top 13.0% nationally. On the other hand, modeled nitrate sits in the top 1.1% nationally, and fine-particle stands in the top 2.1% nationally. Crowded housing resides in the top 7.2% nationally, and modeled tree cover sits in the bottom 10.6% nationally. Modeled disaster risk stands in the top 16% nationally.

Placed beside its immediate neighbors, park land runs far higher than the surrounding ZIPs on this measure. Put plainly, nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. A healthier nearby ZIP overall is ZIP 98921, 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. Compare it against the US, this state and the Yakima, WA metro area.

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 69%

16%

Risk Behavior

healthier than 85%

11%

Climate / Disaster Risk

healthier than 66%

5%

About typical

Mental Health

healthier than 54%

8%

Disability

healthier than 55%

7%

Healthcare Access

healthier than 59%

5%

Holding it back

Environmental Hazard

healthier than 9%

14%

Preventive Care

healthier than 10%

13%

Lifting this score

Chronic Disease Burden

healthier than 60%

21%

Mental Health

healthier than 75%

8%

About typical

Risk Behavior

healthier than 52%

11%

Healthcare Access

healthier than 46%

5%

Holding it back

Social Need / SDOH

healthier than 28%

16%

Environmental Hazard

healthier than 10%

14%

Preventive Care

healthier than 16%

13%

Disability

healthier than 30%

7%

Climate / Disaster Risk

healthier than 26%

5%

Lifting this score

Chronic Disease Burden

healthier than 94%

21%

Social Need / SDOH

healthier than 75%

16%

Preventive Care

healthier than 81%

13%

Risk Behavior

healthier than 88%

11%

Mental Health

healthier than 88%

8%

Disability

healthier than 88%

7%

About typical

Healthcare Access

healthier than 44%

5%

Holding it back

Environmental Hazard

healthier than 6%

14%

Climate / Disaster Risk

healthier than 31%

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 ›

Findings that name this ZIP

One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.

  • Heavy environment, light chronic burden

    Where the environment and chronic illness point in opposite directions

    Environmental-hazard standing 8.8 (bottom 10%); chronic-disease standing 77.7 — 69 points apart, heavier on the environment than it is on chronic illness.

    Ranked #16,299 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.

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 adults22.8%20.7–24.8
High blood pressure among adults31.0%28.4–33.6
Cancer (non-skin) or melanoma among adults7.2%6.6–7.9
Current asthma among adults10.6%9.5–11.8
Coronary heart disease among adults5.7%5.1–6.3
Chronic obstructive pulmonary disease among adults5.6%5.0–6.3
Depression among adults22.4%20.1–25.1
Diagnosed diabetes among adults11.2%10.0–12.5
High cholesterol among adults who have ever been screened34.1%31.3–37.0
Obesity among adults37.6%33.6–41.9
Stroke among adults3.2%2.9–3.5
All teeth lost among adults aged >=65 years12.2%10.1–14.6
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years15.0%13.0–17.3
Taking medicine to control high blood pressure among adults with high blood pressure71.5%68.5–74.2
Visits to doctor for routine checkup within the past year among adults69.0%65.8–72.2
Cholesterol screening among adults81.8%79.8–83.8
Colorectal cancer screening among adults aged 45–75 years61.4%57.4–65.2
Visited dentist or dental clinic in the past year among adults62.5%59.5–65.3
Mammography use among women aged 50-74 years73.7%67.9–78.9
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults16.8%14.4–19.3
Current cigarette smoking among adults11.0%9.6–12.6
No leisure-time physical activity among adults23.3%20.6–26.2
Short sleep duration among adults29.2%25.7–32.9
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults21.8%19.6–24.2
Frequent mental distress among adults16.8%15.2–18.6
Frequent physical distress among adults13.9%12.4–15.3
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults15.5%13.9–17.3
Any disability among adults29.9%27.0–33.0
Hearing disability among adults7.1%6.3–7.8
Independent living disability among adults8.1%7.3–9.0
Mobility disability among adults13.0%11.5–14.5
Self-care disability among adults4.0%3.6–4.4
Vision disability among adults5.6%5.0–6.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WA median (p10–p90)
Poverty rate5.4%10.6% (3.1–25.8%) n=32,3649.6% (3.5–22.3%) n=583
Uninsured 18–6420.5%9.0% (1.5–24.3%) n=32,2868.2% (1.8–22.7%) n=582
No HS diploma (25+)18.2%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.5%) n=588
Bachelor's or higher (25+)24.4%23.3% (9.2–53.6%) n=32,50527.4% (12.3–59.7%) n=588
Unemployment rate (16+)4.0%3.9% (0.0–9.8%) n=32,2744.5% (0.0–9.7%) n=584
Households without a vehicle0.2%3.9% (0.0–12.5%) n=32,3223.7% (0.0–10.2%) n=580
Broadband subscription93.0%89.3% (75.1–97.1%) n=32,32292.7% (81.1–97.4%) n=580
Housing cost burden (≥30% income)18.7%23.7% (10.6–40.0%) n=32,32228.9% (14.6–40.6%) n=580
Homeownership rate79.2%78.7% (51.7–94.0%) n=32,32275.2% (48.2–91.7%) n=580
Crowded housing (>1 per room)7.7%1.3% (0.0–6.3%) n=32,3222.6% (0.0–7.9%) n=580
Foreign-born population13.9%2.6% (0.0–18.6%) n=32,5536.7% (0.3–27.6%) n=588
Single-parent households47.4%53.6% (37.3–74.1%) n=32,08754.3% (40.5–76.0%) n=574
Population 65+14.5%19.4% (10.8–33.6%) n=32,55318.9% (10.3–36.9%) n=588
Median age34.2 yr42.2 yr (33.0–56.3) n=32,29241.0 yr (32.9–58.8) n=584
Median household income$84,766$72,070 ($46,039–$118,707) n=30,318$84,646 ($56,217–$132,145) n=547
Median home value$368,300$222,200 ($100,300–$579,820) n=30,049$452,750 ($241,540–$826,380) n=542
Median gross rent$1,071$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 birth80.8 yr ± 1.1278.9 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 1.12 years of 80.8, 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