ZIP code
98933
in Harrah, WashingtonPopulation 1,230
45.45/ 100
Ranked #21,941 of 32,066 US ZIPs (bottom 32%)
Ranked #509 of 581 Washington ZIPs (bottom 12.4%)
Ranked #10 of 21 Yakima, WA ZIPs (top 48%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
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.
Fine-particle (PM2.5) exceedance
4.1%
in the top 1.5% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Nitrate in drinking water
17.5%
in the top 2.4% nationally
Lower is healthier
ST98thUS98thDefinition & 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 ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Uninsured (under 65)
19%
in the top 5.4% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Fatal road crashes
48.8 per 100,000 residents per year
in the top 4.2% nationally
Lower is healthier
ST97thUS96thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Transportation noise
0.02%
in the bottom 6.2% nationally
Lower is healthier
ST7thUS6thDefinition & 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 ›Fair or poor health
30.1%
in the top 8.2% nationally
Lower is healthier
ST98thUS92ndDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Vision disability
8.8%
in the top 8.3% nationally
Lower is healthier
ST98thUS92ndDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Industrial-pollution burden
in the bottom 8.8% nationally
Lower is healthier
ST12thUS9thDefinition & 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 ›The read
Harrah, Washington (ZIP 98933), on the composite measure, lands in the bottom 32% nationally (21,941st) and the bottom 12.4% of Washington (509th).
What the numbers press hardest on defines much of the story here: modeled fine-particle rests in the top 1.5% nationally, nitrate sits in the top 2.4% nationally, and uninsured registers in the top 5.4% nationally. Fatal road crashes lands in the top 4.2% nationally, modeled tree cover resides at the national minimum, and modeled fair or poor health lies in the top 8.2% nationally. Modeled vision disability settles in the top 8.3% nationally. On the encouraging side, floodplain exposure stands at the national minimum, and modeled transportation noise is in the bottom 6.2% nationally. Modeled industrial-pollution burden rests in the bottom 8.8% nationally.
In everyday language, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Nitrate is a groundwater compound from fertilizer, manure, and sewage, 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. A healthier neighbor overall sits at ZIP 98903, about 4.5 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. 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.
Lifting this score
Social Need / SDOH
healthier than 99%
16%
Risk Behavior
healthier than 63%
11%
Climate / Disaster Risk
healthier than 76%
5%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Environmental Hazard
healthier than 17%
14%
Preventive Care
healthier than 5%
13%
Mental Health
healthier than 38%
8%
Disability
healthier than 14%
7%
Healthcare Access
healthier than 29%
5%
Lifting this score
Social Need / SDOH
healthier than 95%
16%
About typical
Mental Health
healthier than 55%
8%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Environmental Hazard
healthier than 19%
14%
Preventive Care
healthier than 7%
13%
Risk Behavior
healthier than 13%
11%
Disability
healthier than 2%
7%
Climate / Disaster Risk
healthier than 39%
5%
Healthcare Access
healthier than 25%
5%
Lifting this score
Social Need / SDOH
in the top 0.00%
16%
Environmental Hazard
healthier than 75%
14%
Climate / Disaster Risk
healthier than 63%
5%
About typical
Preventive Care
healthier than 50%
13%
Risk Behavior
healthier than 44%
11%
Mental Health
healthier than 50%
8%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Disability
healthier than 31%
7%
Healthcare Access
healthier than 6%
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.
Nearby
98948
Washingtonshares a border
Score 39.68
Closest healthier
98903
Washingtonabout 4.5 mi away
Score 49.26
Similar health profile
98843
Washington92% similar profile
Score 44.83
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
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 26.1% | 23.8–28.2 |
| High blood pressure among adults | 36.2% | 33.4–39.0 |
| Cancer (non-skin) or melanoma among adults | 7.1% | 6.5–7.8 |
| Current asthma among adults | 11.8% | 10.5–13.1 |
| Coronary heart disease among adults | 7.5% | 6.7–8.3 |
| Chronic obstructive pulmonary disease among adults | 7.7% | 6.9–8.7 |
| Depression among adults | 22.5% | 19.9–25.1 |
| Diagnosed diabetes among adults | 15.7% | 13.9–17.4 |
| High cholesterol among adults who have ever been screened | 36.1% | 33.1–39.1 |
| Obesity among adults | 41.8% | 37.5–46.2 |
| Stroke among adults | 4.5% | 4.1–4.9 |
| All teeth lost among adults aged >=65 years | 20.9% | 17.6–24.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 19.0% | 16.3–22.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.4% | 70.6–75.8 |
| Visits to doctor for routine checkup within the past year among adults | 69.7% | 66.6–72.7 |
| Cholesterol screening among adults | 79.6% | 77.5–81.7 |
| Colorectal cancer screening among adults aged 45–75 years | 57.8% | 53.8–61.7 |
| Visited dentist or dental clinic in the past year among adults | 54.6% | 51.5–57.7 |
| Mammography use among women aged 50-74 years | 68.6% | 62.1–74.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.7% | 12.7–16.9 |
| Current cigarette smoking among adults | 15.4% | 13.4–17.4 |
| No leisure-time physical activity among adults | 30.3% | 26.9–33.9 |
| Short sleep duration among adults | 31.8% | 28.2–35.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.1% | 27.1–33.2 |
| Frequent mental distress among adults | 18.6% | 16.7–20.5 |
| Frequent physical distress among adults | 17.6% | 15.7–19.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.0% | 17.0–21.1 |
| Any disability among adults | 38.0% | 34.5–41.4 |
| Hearing disability among adults | 9.3% | 8.4–10.3 |
| Independent living disability among adults | 11.3% | 10.1–12.6 |
| Mobility disability among adults | 18.7% | 16.7–20.8 |
| Self-care disability among adults | 5.9% | 5.3–6.5 |
| Vision disability among adults | 8.8% | 8.0–9.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.7% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 26.2% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 21.9% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 20.9% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 8.4% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 1.6% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 87.8% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 11.4% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 66.0% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 3.9% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 18.6% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 41.5% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 14.1% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 33.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $75,972 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $241,400 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $959 | $1,021 ($677–$1,912) n=25,670 | $1,416 ($840–$2,197) n=476 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 78.5 yr ± 1.63 | 78.9 yr (74.7–82.8) n=31,308 | 80.2 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 1.63 years of 78.5, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾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