ZIP code
99343
in Mesa, WashingtonPopulation 3,215
47.27/ 100
Ranked #19,836 of 32,066 US ZIPs (bottom 38%)
Ranked #481 of 581 Washington ZIPs (bottom 17%)
Ranked #13 of 15 Kennewick-Richland, WA ZIPs (bottom 13.4%)
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.
Uninsured (under 65)
24.7%
in the top 2.4% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Crowded housing
13.8%
in the top 2.6% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Nitrate in drinking water
13.0%
in the top 2.8% nationally
Lower is healthier
ST98thUS97thDefinition & 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 ›Unemployment rate
16.3%
in the top 3.1% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Walkability
1.2 intersections/sq mi
in the bottom 3.2% nationally
Higher is healthier
ST4thUS3rdDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›High cholesterol
29.9%
in the bottom 3.3% nationally
Lower is healthier
ST5thUS3rdDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›High blood pressure
25.7%
in the bottom 3.4% nationally
Lower is healthier
ST7thUS3rdDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Mammography
66.8%
in the bottom 5.1% nationally
Higher is healthier
ST10thUS5thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Fine-particle (PM2.5) exceedance
1.8%
in the top 5.2% nationally
Lower is healthier
ST71stUS95thDefinition & 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 ›Poverty rate
31.6%
in the top 5.9% nationally
Lower is healthier
ST97thUS94thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›The read
In its overall standing, ZIP 99343, one of several in Mesa, Washington lands in the bottom 38% nationally (19,836th) and the bottom 17% of Washington (481st), based on limited data; treat as directional.
Reading the numbers as a whole, the picture lands somewhere in between: modeled high cholesterol lies in the bottom 3.3% nationally, and high blood pressure stands in the bottom 3.4% nationally. On the other side, modeled uninsured rests in the top 2.4% nationally, crowded housing registers in the top 2.6% nationally, and modeled nitrate resides in the top 2.8% nationally. Unemployment settles in the top 3.1% nationally, and walkability is in the bottom 3.2% nationally. Modeled mammography sits in the bottom 5.1% nationally, and fine-particle lands in the top 5.2% nationally. Poverty lies in the top 5.9% nationally.
Put simply, 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. On the overall standing, ZIP 99301, just across the boundary, ranks healthier.
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.
Lifting this score
Chronic Disease Burden
healthier than 90%
21%
About typical
Risk Behavior
healthier than 48%
11%
Mental Health
healthier than 47%
8%
Climate / Disaster RiskPartial
healthier than 44%
5%
Holding it back
Social Need / SDOH
healthier than 35%
16%
Environmental Hazard
healthier than 24%
14%
Preventive Care
in the bottom 0.7%
13%
Disability
healthier than 36%
7%
Healthcare Access
healthier than 40%
5%
Lifting this score
Chronic Disease Burden
healthier than 80%
21%
Mental Health
healthier than 69%
8%
Holding it back
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 25%
14%
Preventive Care
in the bottom 1.0%
13%
Risk Behavior
healthier than 7%
11%
Disability
healthier than 16%
7%
Climate / Disaster RiskPartial
healthier than 9%
5%
Healthcare Access
healthier than 32%
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
98944
Washingtonshares a border
Score 42.11
Closest healthier
99301
Washingtonshares a border
Score 49.51
Similar health profile
88240
New Mexico98% similar profile
Score 46.33
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 | 18.0% | 15.9–20.1 |
| High blood pressure among adults | 25.7% | 22.8–28.7 |
| Cancer (non-skin) or melanoma among adults | 4.6% | 4.2–5.1 |
| Current asthma among adults | 10.4% | 9.2–11.7 |
| Coronary heart disease among adults | 4.9% | 4.3–5.4 |
| Chronic obstructive pulmonary disease among adults | 5.2% | 4.5–5.9 |
| Depression among adults | 21.2% | 18.3–24.2 |
| Diagnosed diabetes among adults | 10.4% | 9.0–11.8 |
| High cholesterol among adults who have ever been screened | 29.9% | 26.6–33.3 |
| Obesity among adults | 35.6% | 30.1–41.1 |
| Stroke among adults | 2.8% | 2.5–3.0 |
| All teeth lost among adults aged >=65 years | 15.6% | 13.1–18.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 24.7% | 20.8–28.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 63.9% | 60.6–67.1 |
| Visits to doctor for routine checkup within the past year among adults | 65.1% | 61.1–69.0 |
| Cholesterol screening among adults | 74.4% | 71.6–77.1 |
| Colorectal cancer screening among adults aged 45–75 years | 56.9% | 52.4–61.4 |
| Visited dentist or dental clinic in the past year among adults | 49.9% | 46.7–53.2 |
| Mammography use among women aged 50-74 years | 66.8% | 59.1–74.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.2% | 14.5–20.2 |
| Current cigarette smoking among adults | 12.6% | 10.6–14.6 |
| No leisure-time physical activity among adults | 26.6% | 22.4–30.7 |
| Short sleep duration among adults | 36.7% | 31.7–41.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.6% | 22.3–29.0 |
| Frequent mental distress among adults | 18.5% | 16.3–20.7 |
| Frequent physical distress among adults | 15.4% | 13.5–17.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.4% | 17.1–21.9 |
| Any disability among adults | 32.8% | 28.7–37.2 |
| Hearing disability among adults | 6.2% | 5.4–6.9 |
| Independent living disability among adults | 9.6% | 8.4–10.9 |
| Mobility disability among adults | 13.0% | 11.2–14.8 |
| Self-care disability among adults | 4.6% | 4.1–5.2 |
| Vision disability among adults | 7.4% | 6.6–8.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 31.6% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 30.9% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 34.5% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 18.6% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 16.3% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 92.1% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 21.3% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 65.3% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 13.8% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 34.0% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 23.5% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 12.0% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 24.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $59,451 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $253,000 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,122 | $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 | 85.3 yr ± 1.70 | 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 1.70 years of 85.3, 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