ZIP code
99133
in Grand Coulee, WashingtonPopulation 1,115
46.65/ 100
Ranked #20,577 of 32,066 US ZIPs (bottom 36%)
Ranked #490 of 581 Washington ZIPs (bottom 16%)
Ranked #19 of 22 Wenatchee-East Wenatchee, WA ZIPs (bottom 13.7%)
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.
Mental-health provider access
0.68 per 1,000 residents
in the top 0.5% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Grocery access
0.68 per 1,000 residents
in the top 0.9% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Outpatient-care access
1.4 per 1,000 residents
in the top 1.0% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Elder-services access
0.68 per 1,000 residents
in the top 1.5% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Civic-institution access
1.4 per 1,000 residents
in the top 2.4% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The number of civic and social organizations 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 ›Fine-particle (PM2.5) exceedance
2.4%
in the top 3.5% nationally
Lower is healthier
ST90thUS97thDefinition & 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
20.6%
in the top 6.2% nationally
Lower is healthier
ST91stUS94thDefinition & 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 ›Walkability
2.1 intersections/sq mi
in the bottom 8.0% nationally
Higher is healthier
ST16thUS8thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Humid extreme heat
11.7 days/year
in the bottom 8.6% nationally
Lower is healthier
ST57thUS9thDefinition & 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 ›Poverty rate
24.8%
in the top 11.1% nationally
Lower is healthier
ST93rdUS89thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›The read
Judged by its overall standing, Grand Coulee, Washington (ZIP 99133) sits in the bottom 36% nationally (20,577th) and the bottom 16% of Washington (490th), based on limited data; treat as directional.
The profile carries real weight, and several readings make that plain: modeled fine-particle registers in the top 3.5% nationally, modeled arsenic is in the top 6.2% nationally, and walkability lies in the bottom 8.0% nationally. Better still, mental-health providers registers in the top 0.5% nationally, grocery is in the top 0.9% nationally, and outpatient lies in the top 1.0% nationally. Elder services registers in the top 1.5% nationally, and civic is in the top 2.4% nationally. Distance to an emergency room lies at the national minimum, shared with about 11% of ZIPs. Modeled humid heat registers in the bottom 8.6% nationally.
Placed beside its immediate neighbors, mental-health providers runs far higher than the surrounding ZIPs on this measure. Put plainly, 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. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. A healthier nearby ZIP overall is ZIP 99103, 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
Social Need / SDOH
healthier than 82%
16%
Risk Behavior
healthier than 75%
11%
Climate / Disaster RiskPartial
healthier than 95%
5%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Environmental Hazard
healthier than 15%
14%
Preventive Care
healthier than 30%
13%
Mental Health
healthier than 39%
8%
Disability
healthier than 26%
7%
Healthcare Access
healthier than 21%
5%
Lifting this score
Climate / Disaster RiskPartial
healthier than 74%
5%
About typical
Social Need / SDOH
healthier than 54%
16%
Preventive Care
healthier than 53%
13%
Mental Health
healthier than 56%
8%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Environmental Hazard
healthier than 18%
14%
Risk Behavior
healthier than 29%
11%
Disability
healthier than 8%
7%
Healthcare Access
healthier than 18%
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
98830
Washingtonshares a border
Score 40.91
Closest healthier
99103
Washingtonshares a border
Score 51.47
Similar health profile
99180
Washington97% similar profile
Score 45.93
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 | 35.7% | 33.2–38.3 |
| High blood pressure among adults | 41.4% | 38.6–44.3 |
| Cancer (non-skin) or melanoma among adults | 11.1% | 10.3–12.0 |
| Current asthma among adults | 12.2% | 11.1–13.4 |
| Coronary heart disease among adults | 9.2% | 8.3–10.1 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 8.0–10.2 |
| Depression among adults | 24.5% | 22.1–27.2 |
| Diagnosed diabetes among adults | 14.3% | 12.8–15.8 |
| High cholesterol among adults who have ever been screened | 40.3% | 37.4–43.2 |
| Obesity among adults | 39.4% | 35.3–43.8 |
| Stroke among adults | 4.9% | 4.4–5.3 |
| All teeth lost among adults aged >=65 years | 12.9% | 11.2–14.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.9% | 7.5–10.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.7% | 75.4–79.8 |
| Visits to doctor for routine checkup within the past year among adults | 75.8% | 73.4–78.3 |
| Cholesterol screening among adults | 85.6% | 84.2–87.1 |
| Colorectal cancer screening among adults aged 45–75 years | 67.4% | 64.3–70.6 |
| Visited dentist or dental clinic in the past year among adults | 59.4% | 56.8–62.0 |
| Mammography use among women aged 50-74 years | 68.9% | 63.6–73.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 13.1–17.0 |
| Current cigarette smoking among adults | 14.6% | 12.7–16.6 |
| No leisure-time physical activity among adults | 24.1% | 21.2–27.3 |
| Short sleep duration among adults | 32.3% | 29.0–35.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.1% | 20.8–25.7 |
| Frequent mental distress among adults | 17.1% | 15.6–18.8 |
| Frequent physical distress among adults | 16.9% | 15.4–18.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.0% | 14.4–17.7 |
| Any disability among adults | 37.1% | 33.9–40.7 |
| Hearing disability among adults | 10.4% | 9.4–11.3 |
| Independent living disability among adults | 9.6% | 8.7–10.7 |
| Mobility disability among adults | 18.3% | 16.3–20.4 |
| Self-care disability among adults | 5.0% | 4.5–5.5 |
| Vision disability among adults | 6.1% | 5.5–6.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 24.8% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 5.1% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 9.1% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 24.1% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 5.3% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 6.5% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 95.0% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 19.4% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 75.2% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 3.5% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 0.6% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 56.1% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 27.4% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 49.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $68,854 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $229,900 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $591 | $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 | 82.8 yr ± 1.40 | 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 1.40 years of 82.8, 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