ZIP code
99335
in Kahlotus, WashingtonPopulation 229
47.67/ 100
Ranked #19,361 of 32,066 US ZIPs (bottom 40%)
Ranked #468 of 581 Washington ZIPs (bottom 19%)
Ranked #12 of 15 Kennewick-Richland, WA ZIPs (bottom 20%)
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.
Distance to a nursing home
25 mi
in the top 2.2% nationally
Lower is healthier
ST95thUS98thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Walkability
0.96 intersections/sq mi
in the bottom 2.5% nationally
Higher is healthier
ST3rdUS2ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Crowded housing
12.5%
in the top 3.1% nationally
Lower is healthier
ST96thUS97thDefinition & 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 3.4% nationally
Lower is healthier
ST3rdUS3rdDefinition & 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 ›Distance to an emergency room
22.6 mi
in the top 4.1% nationally
Lower is healthier
ST96thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
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 ›Housing-cost burden
5.7%
in the bottom 5.5% nationally
Lower is healthier
ST4thUS5thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Fine-particle (PM2.5) exceedance
1.6%
in the top 5.6% nationally
Lower is healthier
ST70thUS94thDefinition & 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 ›Colon-cancer screening
74.9%
in the top 3.2% nationally
Higher is healthier
ST96thUS97thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Hearing disability
11.2%
in the top 8.0% nationally
Lower is healthier
ST96thUS92ndDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›The read
Kahlotus, Washington (ZIP 99335), by its overall standing, sits in the bottom 40% nationally (19,361st) and the bottom 19% of Washington (468th), based on limited data; treat as directional.
The data points to real strain across a number of measures here: distance to a nursing home lands in the top 2.2% nationally, walkability is in the bottom 2.5% nationally, and crowded housing resides in the top 3.1% nationally. Distance to an emergency room rests in the top 4.1% nationally, modeled tree cover lies at the national minimum, and modeled fine-particle sits in the top 5.6% nationally. Modeled hearing disability settles in the top 8.0% nationally. On the brighter side, modeled industrial-pollution burden registers in the bottom 3.4% nationally, and housing-cost burden stands in the bottom 5.5% nationally. Modeled colon screening lands in the top 3.2% nationally.
Defined in plain terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. 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 99301, 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.
Lifting this score
Risk Behavior
healthier than 82%
11%
About typical
Social Need / SDOH
healthier than 57%
16%
Environmental Hazard
healthier than 43%
14%
Preventive Care
healthier than 42%
13%
Climate / Disaster RiskPartial
healthier than 47%
5%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
Mental Health
healthier than 36%
8%
Disability
healthier than 17%
7%
Healthcare Access
healthier than 7%
5%
Lifting this score
Preventive Care
healthier than 69%
13%
About typical
Environmental Hazard
healthier than 42%
14%
Risk Behavior
healthier than 45%
11%
Mental Health
healthier than 51%
8%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 18%
16%
Disability
healthier than 4%
7%
Climate / Disaster RiskPartial
healthier than 11%
5%
Healthcare Access
healthier than 7%
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
99301
Washingtonshares a border
Score 49.51
Closest healthier
99326
Washingtonshares a border
Score 49.38
Similar health profile
28367
North Carolina93% similar profile
Score 46.58
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 | 31.3% | 28.2–34.4 |
| High blood pressure among adults | 37.3% | 33.8–40.8 |
| Cancer (non-skin) or melanoma among adults | 10.6% | 9.6–11.7 |
| Current asthma among adults | 11.7% | 10.4–13.1 |
| Coronary heart disease among adults | 9.4% | 8.3–10.6 |
| Chronic obstructive pulmonary disease among adults | 9.1% | 7.7–10.7 |
| Depression among adults | 23.8% | 20.7–26.9 |
| Diagnosed diabetes among adults | 13.1% | 11.4–15.0 |
| High cholesterol among adults who have ever been screened | 37.5% | 33.9–41.2 |
| Obesity among adults | 33.6% | 28.5–38.8 |
| Stroke among adults | 4.9% | 4.4–5.6 |
| All teeth lost among adults aged >=65 years | 11.1% | 9.1–13.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.3% | 8.3–12.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.3% | 74.4–79.8 |
| Visits to doctor for routine checkup within the past year among adults | 74.1% | 70.7–77.3 |
| Cholesterol screening among adults | 82.1% | 79.9–84.3 |
| Colorectal cancer screening among adults aged 45–75 years | 74.9% | 71.0–78.6 |
| Visited dentist or dental clinic in the past year among adults | 65.3% | 62.1–68.3 |
| Mammography use among women aged 50-74 years | 74.6% | 67.9–80.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.9% | 11.7–16.3 |
| Current cigarette smoking among adults | 13.5% | 11.2–15.9 |
| No leisure-time physical activity among adults | 24.7% | 20.6–28.8 |
| Short sleep duration among adults | 31.6% | 27.1–36.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.7% | 20.4–27.2 |
| Frequent mental distress among adults | 17.9% | 15.8–20.0 |
| Frequent physical distress among adults | 17.2% | 15.1–19.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.2% | 14.9–19.5 |
| Any disability among adults | 36.8% | 32.4–41.1 |
| Hearing disability among adults | 11.2% | 9.9–12.6 |
| Independent living disability among adults | 11.1% | 9.5–12.7 |
| Mobility disability among adults | 18.5% | 15.9–21.4 |
| Self-care disability among adults | 5.3% | 4.6–6.2 |
| Vision disability among adults | 6.8% | 5.9–7.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.3% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 22.4% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 11.9% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 12.4% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 4.4% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 10.2% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 80.7% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 5.7% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 72.7% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 12.5% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 6.6% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 70.0% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 16.6% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 42.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $91,667 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $250,000 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | — | $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 | 81.7 yr ± 2.13 | 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 2.13 years of 81.7, 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