ZIP code
98813
in Bridgeport, WashingtonPopulation 2,826
45.80/ 100
Ranked #21,543 of 32,066 US ZIPs (bottom 33%)
Ranked #505 of 581 Washington ZIPs (bottom 13.1%)
Ranked #20 of 22 Wenatchee-East Wenatchee, WA ZIPs (bottom 9.1%)
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.
Uninsured (under 65)
29.5%
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Mammography
60.2%
in the bottom 0.8% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Colon-cancer screening
52.2%
in the bottom 3.0% nationally
Higher is healthier
ST3rdUS3rdDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Crowded housing
14.4%
in the top 2.3% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Grocery access
0.36 per 1,000 residents
in the top 2.8% nationally
Higher is healthier
ST98thUS97thDefinition & 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 ›Fine-particle (PM2.5) exceedance
2.3%
in the top 3.6% nationally
Lower is healthier
ST89thUS96thDefinition & 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 ›High cholesterol
29.9%
in the bottom 3.3% nationally
Lower is healthier
ST5thUS3rdDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Arsenic in groundwater
24.4%
in the top 4.7% nationally
Lower is healthier
ST94thUS95thDefinition & 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 ›Vision disability
8.8%
in the top 8.3% nationally
Lower is healthier
ST98thUS92ndDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Cognitive disability
20.2%
in the top 8.5% nationally
Lower is healthier
ST96thUS92ndDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›The read
By the composite health measure, Bridgeport, Washington (ZIP 98813) ranks in the bottom 33% nationally (21,543rd) and the bottom 13.1% of Washington (505th), based on limited data; treat as directional.
Several measures weigh most on this area's profile, and they come first: modeled uninsured rests in the top 1.2% nationally, and mammography stands in the bottom 0.8% nationally. Modeled colon screening lies in the bottom 3.0% nationally, and crowded housing lands in the top 2.3% nationally. Modeled fine-particle sits in the top 3.6% nationally, arsenic is in the top 4.7% nationally, and vision disability settles in the top 8.3% nationally. Modeled cognitive disability resides in the top 8.5% nationally. On the better side, grocery registers in the top 2.8% nationally, and modeled high cholesterol rests in the bottom 3.3% nationally.
Read against the ZIPs closest to it, park land runs far lower than the surrounding ZIPs on this measure. To spell things out, 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 98858, 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
Chronic Disease Burden
healthier than 85%
21%
Mental Health
healthier than 60%
8%
Climate / Disaster RiskPartial
healthier than 95%
5%
Healthcare Access
healthier than 68%
5%
About typical
Social Need / SDOH
healthier than 46%
16%
Risk Behavior
healthier than 41%
11%
Holding it back
Environmental Hazard
healthier than 21%
14%
Preventive Care
in the bottom 0.07%
13%
Disability
healthier than 24%
7%
Lifting this score
Chronic Disease Burden
healthier than 71%
21%
Mental Health
healthier than 83%
8%
Climate / Disaster RiskPartial
healthier than 73%
5%
About typical
Healthcare Access
healthier than 53%
5%
Holding it back
Social Need / SDOH
healthier than 10%
16%
Environmental Hazard
healthier than 23%
14%
Preventive Care
in the bottom 0.05%
13%
Risk Behavior
healthier than 5%
11%
Disability
healthier than 7%
7%
“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
98812
Washingtonshares a border
Score 44.45
Closest healthier
98858
Washingtonshares a border
Score 52.97
Similar health profile
80260
Colorado98% similar profile
Score 45.96
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 | 18.4% | 16.5–20.3 |
| High blood pressure among adults | 28.5% | 25.7–31.4 |
| Cancer (non-skin) or melanoma among adults | 4.4% | 3.9–4.8 |
| Current asthma among adults | 9.5% | 8.6–10.6 |
| Coronary heart disease among adults | 5.5% | 4.9–6.2 |
| Chronic obstructive pulmonary disease among adults | 5.1% | 4.5–5.9 |
| Depression among adults | 20.2% | 17.8–22.8 |
| Diagnosed diabetes among adults | 12.1% | 10.7–13.6 |
| High cholesterol among adults who have ever been screened | 29.9% | 27.0–32.9 |
| Obesity among adults | 39.8% | 34.4–45.0 |
| Stroke among adults | 3.0% | 2.7–3.4 |
| All teeth lost among adults aged >=65 years | 22.0% | 18.8–25.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 29.5% | 24.2–34.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 62.6% | 59.4–65.4 |
| Visits to doctor for routine checkup within the past year among adults | 64.0% | 60.4–67.5 |
| Cholesterol screening among adults | 73.3% | 70.1–76.6 |
| Colorectal cancer screening among adults aged 45–75 years | 52.2% | 48.0–56.4 |
| Visited dentist or dental clinic in the past year among adults | 43.8% | 40.9–46.8 |
| Mammography use among women aged 50-74 years | 60.2% | 52.0–68.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.4% | 15.0–19.9 |
| Current cigarette smoking among adults | 13.2% | 11.2–15.5 |
| No leisure-time physical activity among adults | 30.9% | 26.6–35.6 |
| Short sleep duration among adults | 34.8% | 30.5–39.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.7% | 25.2–32.9 |
| Frequent mental distress among adults | 17.7% | 15.8–19.8 |
| Frequent physical distress among adults | 16.0% | 14.2–18.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.2% | 17.7–23.2 |
| Any disability among adults | 38.3% | 34.0–43.0 |
| Hearing disability among adults | 7.1% | 6.3–7.9 |
| Independent living disability among adults | 9.7% | 8.5–11.2 |
| Mobility disability among adults | 14.7% | 12.8–17.0 |
| Self-care disability among adults | 5.2% | 4.6–6.0 |
| Vision disability among adults | 8.8% | 7.7–10.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.3% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 69.1% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 48.0% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 3.9% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 1.4% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 3.2% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 85.7% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 17.5% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 54.1% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 14.4% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 63.1% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 41.9% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 7.3% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 29.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $49,969 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $177,000 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $789 | $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 | 82.4 yr ± 1.18 | 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 1.18 years of 82.4, 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