ZIP code
98045
in North Bend, WashingtonPopulation 15,289
65.88/ 100
Ranked #1,670 of 32,066 US ZIPs (top 5.3%)
Ranked #44 of 581 Washington ZIPs (top 7.6%)
Ranked #43 of 166 Seattle-Tacoma-Bellevue, WA ZIPs (top 26%)
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.
Median household income
$175,765
in the top 2.0% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Obesity
24.3%
in the bottom 4.6% nationally
Lower is healthier
ST10thUS5thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Diabetes
6.8%
in the bottom 2.1% nationally
Lower is healthier
ST7thUS2ndDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Park land
35.7%
in the top 3.8% nationally
Higher is healthier
ST93rdUS96thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Mobility disability
7.5%
in the bottom 2.5% nationally
Lower is healthier
ST9thUS2ndDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Short sleep
28.2%
in the bottom 3.6% nationally
Lower is healthier
ST14thUS4thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Tree cover
80.8%
in the top 4.6% nationally
Higher is healthier
ST96thUS95thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Grocery access
0.25 per 1,000 residents
in the top 4.8% nationally
Higher is healthier
ST97thUS95thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Coronary heart disease
4.2%
in the bottom 4.1% nationally
Lower is healthier
ST10thUS4thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Fair or poor health
11.8%
in the bottom 3.0% nationally
Lower is healthier
ST8thUS3rdDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›The read
By its overall health score, North Bend, Washington (ZIP 98045) lands in the top 5.3% healthiest ZIPs nationally (1,670th) and the top 7.6% of Washington (44th).
Neither strongly one way nor the other, the measures sit mixed: household income registers in the top 2.0% nationally, and modeled obesity sits in the bottom 4.6% nationally. Modeled diabetes rests in the bottom 2.1% nationally, and park land is in the top 3.8% nationally. Modeled mobility disability stands in the bottom 2.5% nationally, short sleep settles in the bottom 3.6% nationally, and tree cover lies in the top 4.6% nationally. Grocery resides in the top 4.8% nationally, modeled coronary heart disease lands in the bottom 4.1% nationally, and modeled fair or poor health registers in the bottom 3.0% nationally.
Weighed against the ZIPs nearby, park land runs far higher than the surrounding ZIPs on this measure. Overall, the nearest healthier neighbor is ZIP 98065, 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. Compare it against the US, this state and the Seattle-Tacoma-Bellevue, 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 94%
21%
Social Need / SDOH
healthier than 96%
16%
Environmental Hazard
healthier than 91%
14%
Risk Behavior
healthier than 95%
11%
Disability
healthier than 96%
7%
Climate / Disaster Risk
healthier than 95%
5%
About typical
Preventive Care
healthier than 45%
13%
Holding it back
Mental Health
healthier than 39%
8%
Healthcare Access
healthier than 22%
5%
Lifting this score
Chronic Disease Burden
healthier than 84%
21%
Social Need / SDOH
healthier than 89%
16%
Environmental Hazard
healthier than 81%
14%
Preventive Care
healthier than 72%
13%
Risk Behavior
healthier than 81%
11%
Disability
healthier than 89%
7%
Climate / Disaster Risk
healthier than 77%
5%
About typical
Mental Health
healthier than 57%
8%
Holding it back
Healthcare Access
healthier than 19%
5%
Lifting this score
Chronic Disease Burden
healthier than 64%
21%
Social Need / SDOH
healthier than 77%
16%
Environmental Hazard
healthier than 93%
14%
Preventive Care
healthier than 75%
13%
Risk Behavior
healthier than 70%
11%
Disability
healthier than 73%
7%
Climate / Disaster Risk
healthier than 64%
5%
About typical
Mental Health
healthier than 48%
8%
Holding it back
Healthcare Access
healthier than 5%
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 ›
Findings that name this ZIP
2 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 78.4 ± 1.6 years. A median household income of $175,765 predicts 82.3 years — 3.9 years below.
Ranked #4,997 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 78.4 ± 1.6 years. The 50 nearest ZIP codes with estimates average 81.8 years — 3.4 years below them.
Ranked #2,636 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
98022
Washingtonshares a border
Score 60.48
Closest healthier
98065
Washingtonshares a border
Score 70.41
Similar health profile
80938
Colorado99% similar profile
Score 61.85
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 | 22.4% | 21.0–23.9 |
| High blood pressure among adults | 27.4% | 25.7–29.2 |
| Cancer (non-skin) or melanoma among adults | 8.3% | 7.7–8.9 |
| Current asthma among adults | 10.6% | 9.8–11.6 |
| Coronary heart disease among adults | 4.2% | 3.8–4.6 |
| Chronic obstructive pulmonary disease among adults | 3.9% | 3.5–4.4 |
| Depression among adults | 26.8% | 25.0–28.8 |
| Diagnosed diabetes among adults | 6.8% | 6.1–7.5 |
| High cholesterol among adults who have ever been screened | 35.2% | 33.4–37.1 |
| Obesity among adults | 24.3% | 22.1–26.7 |
| Stroke among adults | 2.3% | 2.1–2.5 |
| All teeth lost among adults aged >=65 years | 4.9% | 4.1–5.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.5% | 4.7–6.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 68.2% | 65.9–70.5 |
| Visits to doctor for routine checkup within the past year among adults | 70.7% | 68.7–72.7 |
| Cholesterol screening among adults | 87.5% | 86.4–88.7 |
| Colorectal cancer screening among adults aged 45–75 years | 67.3% | 65.1–69.4 |
| Visited dentist or dental clinic in the past year among adults | 74.4% | 72.7–76.0 |
| Mammography use among women aged 50-74 years | 77.0% | 73.8–80.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.3% | 17.7–21.0 |
| Current cigarette smoking among adults | 7.9% | 6.9–9.1 |
| No leisure-time physical activity among adults | 12.2% | 10.9–13.6 |
| Short sleep duration among adults | 28.2% | 26.1–30.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 11.8% | 10.7–13.1 |
| Frequent mental distress among adults | 15.4% | 14.2–16.7 |
| Frequent physical distress among adults | 10.5% | 9.5–11.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.2% | 10.2–12.4 |
| Any disability among adults | 20.9% | 19.3–22.7 |
| Hearing disability among adults | 4.8% | 4.4–5.3 |
| Independent living disability among adults | 5.2% | 4.7–5.8 |
| Mobility disability among adults | 7.5% | 6.7–8.3 |
| Self-care disability among adults | 2.4% | 2.2–2.7 |
| Vision disability among adults | 2.9% | 2.6–3.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.6% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 8.3% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 3.5% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 56.6% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 2.6% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 1.6% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 96.8% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 26.6% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 83.7% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 0.9% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 9.1% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 52.4% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 12.5% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 40.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $175,765 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $938,500 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $2,238 | $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 | 78.4 yr ± 0.82 | 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 0.82 years of 78.4, 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