ZIP code
98506
in Olympia, WashingtonPopulation 18,497
58.01/ 100
Ranked #6,388 of 32,066 US ZIPs (top 20%)
Ranked #161 of 581 Washington ZIPs (top 28%)
Ranked #4 of 12 Olympia-Lacey-Tumwater, WA ZIPs (top 33%)
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.
Dental provider access
2 per 1,000 residents
in the top 1.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of dental offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Physician access
4.2 per 1,000 residents
in the top 1.9% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of physicians’ offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›PFAS in drinking water
79.4%
in the top 2.1% nationally
Lower is healthier
ST94thUS98thDefinition & 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 ›Expected annual disaster loss
$0
in the top 3.6% nationally
Lower is healthier
ST87thUS96thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Mental-health provider access
0.21 per 1,000 residents
in the top 3.9% nationally
Higher is healthier
ST96thUS96thDefinition & source ›
The number of mental-health clinics located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Outpatient-care access
0.68 per 1,000 residents
in the top 4.2% nationally
Higher is healthier
ST96thUS96thDefinition & source ›
The number of outpatient clinics located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Transit access
3.5 per 1,000 residents
in the top 8.5% nationally
Higher is healthier
ST84thUS92ndDefinition & source ›
The number of public-transit stops inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Energy-cost burden
1.8%
in the bottom 8.8% nationally
Lower is healthier
ST37thUS9thDefinition & 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
63.2%
in the top 14.6% nationally
Lower is healthier
ST92ndUS85thDefinition & 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 ›The read
In its overall standing, ZIP 98506, one of several in Olympia, Washington lands in the top 20% healthiest ZIPs nationally (6,388th) and the top 28% of Washington (161st).
This area's measures are easy to read as a mixed set: dental providers settles in the top 1.2% nationally, physicians is in the top 1.9% nationally, and mental-health providers sits in the top 3.9% nationally. Outpatient lands in the top 4.2% nationally. Distance to an emergency room lies at the national minimum, shared with about 11% of ZIPs. Transit stands in the top 8.5% nationally, and modeled energy burden rests in the bottom 8.8% nationally. Set against that, modeled pfas registers in the top 2.1% nationally, and expected annual loss resides in the top 3.6% nationally. Unemployment settles in the top 10.8% nationally.
Against the wider neighborhood, park land runs far higher than the surrounding ZIPs on this measure. Put simply, 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. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Energy burden is the share of household income that goes to home energy bills. On the overall standing, ZIP 98501, 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. Compare it against the US, this state and the Olympia-Lacey-Tumwater, WA metro area.
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 66%
21%
Social Need / SDOH
healthier than 84%
16%
Environmental Hazard
healthier than 61%
14%
Risk Behavior
healthier than 95%
11%
Disability
healthier than 76%
7%
Climate / Disaster Risk
healthier than 83%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Preventive Care
healthier than 45%
13%
Holding it back
Mental Health
healthier than 32%
8%
Lifting this score
Social Need / SDOH
healthier than 61%
16%
Preventive Care
healthier than 72%
13%
Risk Behavior
healthier than 78%
11%
Disability
healthier than 61%
7%
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 40%
21%
Environmental Hazard
healthier than 59%
14%
Mental Health
healthier than 44%
8%
Climate / Disaster Risk
healthier than 49%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 70%
16%
Preventive Care
in the top 0.00%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 60%
7%
Healthcare Access
in the top 0.00%
5%
About typical
Climate / Disaster Risk
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Environmental Hazard
healthier than 30%
14%
“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
98501
Washingtonshares a border
Score 59.51
Closest healthier
98502
Washingtonshares a border
Score 59.99
Similar health profile
98359
Washington98% similar profile
Score 55.47
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 | 30.5% | 28.2–32.9 |
| High blood pressure among adults | 35.6% | 33.0–38.3 |
| Cancer (non-skin) or melanoma among adults | 10.1% | 9.3–10.9 |
| Current asthma among adults | 11.3% | 10.2–12.5 |
| Coronary heart disease among adults | 6.1% | 5.5–6.8 |
| Chronic obstructive pulmonary disease among adults | 5.5% | 4.9–6.3 |
| Depression among adults | 27.2% | 24.6–29.9 |
| Diagnosed diabetes among adults | 10.5% | 9.3–11.8 |
| High cholesterol among adults who have ever been screened | 37.8% | 35.1–40.6 |
| Obesity among adults | 30.7% | 27.2–34.3 |
| Stroke among adults | 3.3% | 3.0–3.6 |
| All teeth lost among adults aged >=65 years | 9.5% | 7.9–11.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.1% | 5.3–7.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.2% | 70.7–75.7 |
| Visits to doctor for routine checkup within the past year among adults | 70.9% | 68.1–73.5 |
| Cholesterol screening among adults | 85.6% | 84.2–87.1 |
| Colorectal cancer screening among adults aged 45–75 years | 71.0% | 67.8–74.1 |
| Visited dentist or dental clinic in the past year among adults | 69.4% | 66.8–71.8 |
| Mammography use among women aged 50-74 years | 75.4% | 70.3–79.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.1% | 12.3–16.1 |
| Current cigarette smoking among adults | 9.4% | 8.2–10.8 |
| No leisure-time physical activity among adults | 16.3% | 14.2–18.6 |
| Short sleep duration among adults | 33.2% | 29.9–36.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.1% | 14.3–18.0 |
| Frequent mental distress among adults | 15.9% | 14.4–17.6 |
| Frequent physical distress among adults | 13.4% | 12.0–14.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.0% | 11.7–14.5 |
| Any disability among adults | 28.8% | 26.1–31.6 |
| Hearing disability among adults | 7.3% | 6.5–8.1 |
| Independent living disability among adults | 7.2% | 6.4–8.1 |
| Mobility disability among adults | 11.8% | 10.4–13.3 |
| Self-care disability among adults | 3.2% | 2.9–3.6 |
| Vision disability among adults | 4.0% | 3.6–4.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.0% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 8.1% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 3.2% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 50.8% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 9.5% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 7.3% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 95.2% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 31.8% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 66.3% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 1.5% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 7.7% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 64.0% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 28.2% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 48.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $91,596 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $490,900 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,461 | $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 | 79.2 yr ± 0.65 | 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 0.65 years of 79.2, 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