ZIP code
99320
in Benton City, WashingtonPopulation 9,879
48.35/ 100
Ranked #18,478 of 32,066 US ZIPs (bottom 42%)
Ranked #446 of 581 Washington ZIPs (bottom 23%)
Ranked #11 of 15 Kennewick-Richland, WA ZIPs (bottom 27%)
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.
Nitrate in drinking water
3.2%
in the top 5.0% nationally
Lower is healthier
ST94thUS95thDefinition & 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
1.7%
in the top 5.3% 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 ›Arsenic in groundwater
21.5%
in the top 5.7% 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 ›Energy-cost burden
1.7%
in the bottom 7.0% nationally
Lower is healthier
ST30thUS7thDefinition & 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 ›Dry extreme heat
27.7 days/year
in the top 17% nationally
Lower is healthier
ST97thUS83rdDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Obesity
39.6%
in the top 27% nationally
Lower is healthier
ST90thUS73rdDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›The read
By the composite health measure, Benton City, Washington (ZIP 99320) ranks in the bottom 42% nationally (18,478th) and the bottom 23% of Washington (446th), based on limited data; treat as directional.
The picture here is genuinely mixed, with readings on both sides: modeled energy burden stands in the bottom 7.0% nationally, and transit lies in the top 13.8% nationally. On the other side, modeled nitrate lands in the top 5.0% nationally, and fine-particle sits in the top 5.3% nationally. Modeled arsenic is in the top 5.7% nationally, tree cover settles in the bottom 10.6% nationally, and extreme heat resides in the top 17% nationally. Modeled disaster risk registers in the top 18% nationally. Physicians rests at the national minimum, shared with about 38% of ZIPs. Modeled mammography stands in the bottom 18% nationally.
To spell things out, 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. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Close by, ZIP 99338, just across the boundary, ranks healthier overall.
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
Social Need / SDOH
healthier than 75%
16%
Risk Behavior
healthier than 72%
11%
About typical
Chronic Disease Burden
healthier than 49%
21%
Climate / Disaster RiskPartial
healthier than 47%
5%
Healthcare Access
healthier than 43%
5%
Holding it back
Environmental Hazard
healthier than 34%
14%
Preventive Care
healthier than 13%
13%
Mental Health
healthier than 28%
8%
Disability
healthier than 38%
7%
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 24%
21%
Social Need / SDOH
healthier than 39%
16%
Environmental Hazard
healthier than 37%
14%
Preventive Care
healthier than 20%
13%
Risk Behavior
healthier than 24%
11%
Mental Health
healthier than 39%
8%
Disability
healthier than 17%
7%
Climate / Disaster RiskPartial
healthier than 11%
5%
Healthcare Access
healthier than 34%
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
99338
Washingtonshares a border
Score 60.58
Similar health profile
80741
Colorado92% similar profile
Score 48.40
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 | 27.6% | 25.3–30.2 |
| High blood pressure among adults | 32.6% | 29.8–35.5 |
| Cancer (non-skin) or melanoma among adults | 8.7% | 7.9–9.5 |
| Current asthma among adults | 11.7% | 10.5–13.0 |
| Coronary heart disease among adults | 7.1% | 6.4–7.8 |
| Chronic obstructive pulmonary disease among adults | 7.6% | 6.8–8.5 |
| Depression among adults | 25.6% | 22.8–28.6 |
| Diagnosed diabetes among adults | 12.6% | 11.2–14.1 |
| High cholesterol among adults who have ever been screened | 38.6% | 35.6–41.7 |
| Obesity among adults | 39.6% | 35.4–44.1 |
| Stroke among adults | 3.8% | 3.5–4.1 |
| All teeth lost among adults aged >=65 years | 14.9% | 12.3–17.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.1% | 10.4–13.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.4% | 68.5–74.3 |
| Visits to doctor for routine checkup within the past year among adults | 71.4% | 68.4–74.3 |
| Cholesterol screening among adults | 82.5% | 80.7–84.3 |
| Colorectal cancer screening among adults aged 45–75 years | 65.0% | 61.1–68.8 |
| Visited dentist or dental clinic in the past year among adults | 59.4% | 56.5–62.4 |
| Mammography use among women aged 50-74 years | 70.8% | 64.5–76.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.2% | 14.0–18.6 |
| Current cigarette smoking among adults | 13.4% | 11.7–15.3 |
| No leisure-time physical activity among adults | 24.0% | 21.1–27.3 |
| Short sleep duration among adults | 32.6% | 28.9–36.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.7% | 20.5–25.3 |
| Frequent mental distress among adults | 17.6% | 15.9–19.6 |
| Frequent physical distress among adults | 16.1% | 14.6–17.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.4% | 14.8–18.1 |
| Any disability among adults | 33.3% | 30.1–36.6 |
| Hearing disability among adults | 8.1% | 7.3–9.0 |
| Independent living disability among adults | 9.2% | 8.4–10.3 |
| Mobility disability among adults | 15.5% | 13.8–17.3 |
| Self-care disability among adults | 4.7% | 4.2–5.1 |
| Vision disability among adults | 5.9% | 5.4–6.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.2% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 16.1% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 12.3% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 18.0% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 5.2% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 5.8% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 90.6% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 21.2% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 85.3% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 3.1% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 7.5% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 50.6% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 14.0% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 36.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $90,102 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $373,500 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $881 | $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 | 80.6 yr ± 1.17 | 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 1.17 years of 80.6, 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