ZIP code
99337
in Kennewick, WashingtonPopulation 33,287
52.31/ 100
Ranked #13,027 of 32,066 US ZIPs (top 41%)
Ranked #335 of 581 Washington ZIPs (bottom 42%)
Ranked #6 of 15 Kennewick-Richland, WA ZIPs (top 40%)
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.
Lithium in drinking water
9.4 µg/L
in the bottom 2.7% nationally
Lower is healthier
ST1stUS3rdDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›PFAS in drinking water
65.6%
in the top 5.8% nationally
Lower is healthier
ST88thUS94thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Arsenic in groundwater
21.3%
in the top 5.9% nationally
Lower is healthier
ST92ndUS94thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms 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
1.4%
in the top 7.4% nationally
Lower is healthier
ST65thUS93rdDefinition & 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
0.01%
in the top 8.5% nationally
Lower is healthier
ST90thUS92ndDefinition & 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 ›Tree cover
0.00%
in the bottom 9.7% nationally
Higher is healthier
ST11thUS10thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Energy-cost burden
1.7%
in the bottom 7.7% nationally
Lower is healthier
ST32ndUS8thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›PFOA in drinking water
79.9%
in the top 11.8% nationally
Lower is healthier
ST93rdUS88thDefinition & source ›
The share of residents served by public water systems where PFOA, one of the man-made “forever chemicals,” was detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Dry extreme heat
36.4 days/year
in the top 12.8% nationally
Lower is healthier
ST99thUS87thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Humid extreme heat
29.1 days/year
in the bottom 27% nationally
Lower is healthier
ST94thUS27thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›The read
ZIP 99337, one of several in Kennewick, Washington, in overall standing, comes out in the top 41% healthiest ZIPs nationally (13,027th) and the bottom 42% of Washington (335th), based on limited data; treat as directional.
A healthy showing across the board, and a few measures carry it: lithium in drinking water lands in the bottom 2.7% nationally, modeled energy burden rests in the bottom 7.7% nationally, and transit settles in the top 10.7% nationally. Distance to a community health center lands at the national minimum, shared with about 23% of ZIPs. On the other hand, modeled pfas rests in the top 5.8% nationally, and arsenic settles in the top 5.9% nationally. Modeled fine-particle lands in the top 7.4% nationally, and nitrate rests in the top 8.5% nationally. Modeled tree cover settles in the bottom 9.7% nationally, and PFOA in drinking water lands in the top 11.8% nationally.
Set within its surrounding area, park land runs far lower than the surrounding ZIPs on this measure. Defined simply, for reference, lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. The closest healthier ZIP overall is ZIP 99338, 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
Chronic Disease Burden
healthier than 68%
21%
Social Need / SDOH
healthier than 79%
16%
Risk Behavior
healthier than 83%
11%
Disability
healthier than 60%
7%
Healthcare Access
healthier than 94%
5%
About typical
Mental Health
healthier than 45%
8%
Holding it back
Environmental Hazard
healthier than 12%
14%
Preventive Care
healthier than 14%
13%
Climate / Disaster RiskPartial
healthier than 37%
5%
Lifting this score
Mental Health
healthier than 67%
8%
Healthcare Access
healthier than 93%
5%
About typical
Chronic Disease Burden
healthier than 43%
21%
Social Need / SDOH
healthier than 46%
16%
Risk Behavior
healthier than 47%
11%
Holding it back
Environmental Hazard
healthier than 13%
14%
Preventive Care
healthier than 23%
13%
Disability
healthier than 38%
7%
Climate / Disaster RiskPartial
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
97838
Oregonshares a border
Score 49.50
Closest healthier
99338
Washingtonshares a border
Score 60.58
Similar health profile
83644
Idaho97% similar profile
Score 52.18
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 | 25.8% | 23.6–28.2 |
| High blood pressure among adults | 30.3% | 27.6–33.1 |
| Cancer (non-skin) or melanoma among adults | 8.7% | 8.0–9.5 |
| Current asthma among adults | 11.2% | 10.1–12.4 |
| Coronary heart disease among adults | 6.2% | 5.6–6.9 |
| Chronic obstructive pulmonary disease among adults | 6.2% | 5.6–6.9 |
| Depression among adults | 24.3% | 21.8–27.1 |
| Diagnosed diabetes among adults | 10.9% | 9.7–12.3 |
| High cholesterol among adults who have ever been screened | 37.4% | 34.4–40.4 |
| Obesity among adults | 36.7% | 32.7–41.1 |
| Stroke among adults | 3.3% | 3.0–3.6 |
| All teeth lost among adults aged >=65 years | 12.6% | 10.4–15.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.2% | 9.8–12.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.0% | 68.0–73.8 |
| Visits to doctor for routine checkup within the past year among adults | 71.4% | 68.6–74.3 |
| Cholesterol screening among adults | 83.4% | 81.8–85.1 |
| Colorectal cancer screening among adults aged 45–75 years | 64.3% | 60.5–68.1 |
| Visited dentist or dental clinic in the past year among adults | 62.7% | 59.8–65.6 |
| Mammography use among women aged 50-74 years | 70.4% | 64.1–76.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.6% | 14.4–19.0 |
| Current cigarette smoking among adults | 11.1% | 9.7–12.6 |
| No leisure-time physical activity among adults | 21.5% | 18.7–24.4 |
| Short sleep duration among adults | 31.5% | 27.9–35.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.6% | 17.6–21.9 |
| Frequent mental distress among adults | 16.5% | 14.9–18.2 |
| Frequent physical distress among adults | 14.4% | 12.9–16.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.8% | 13.3–16.4 |
| Any disability among adults | 30.4% | 27.4–33.5 |
| Hearing disability among adults | 7.4% | 6.7–8.2 |
| Independent living disability among adults | 7.9% | 7.1–8.8 |
| Mobility disability among adults | 13.3% | 11.8–15.0 |
| Self-care disability among adults | 3.7% | 3.4–4.1 |
| Vision disability among adults | 4.9% | 4.5–5.4 |
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 | 11.1% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 12.8% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 28.4% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 3.7% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 1.7% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 94.9% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 23.0% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 85.5% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 2.6% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 11.2% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 51.9% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 17.7% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 39.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $98,848 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $395,500 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,242 | $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 | 79.6 yr ± 0.51 | 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 0.51 years of 79.6, 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