ZIP code
99033
in Tekoa, WashingtonPopulation 832
46.56/ 100
Ranked #20,689 of 32,066 US ZIPs (bottom 35%)
Ranked #493 of 581 Washington ZIPs (bottom 15%)
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.
Pharmacy access
1 per 1,000 residents
in the top 0.9% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of pharmacies 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 ›Distance to a nursing home
22.1 mi
in the top 2.8% nationally
Lower is healthier
ST92ndUS97thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Civic-institution access
1 per 1,000 residents
in the top 3.8% nationally
Higher is healthier
ST95thUS96thDefinition & 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
2.2%
in the top 3.8% nationally
Lower is healthier
ST87thUS96thDefinition & 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 ›Distance to an emergency room
21.8 mi
in the top 4.4% nationally
Lower is healthier
ST95thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Short sleep
28.3%
in the bottom 3.8% nationally
Lower is healthier
ST15thUS4thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Lack of transportation
14.7%
in the top 6.8% nationally
Lower is healthier
US93rdDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Humid extreme heat
10.1 days/year
in the bottom 7.1% nationally
Lower is healthier
ST48thUS7thDefinition & 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 ›Loneliness
38.4%
in the top 7.5% nationally
Lower is healthier
US93rdDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Transportation noise
0.14%
in the bottom 9.2% nationally
Lower is healthier
ST10thUS9thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›The read
Tekoa, Washington (ZIP 99033), on the composite measure, lands in the bottom 35% nationally (20,689th) and the bottom 15% of Washington (493rd), based on limited data; treat as directional.
What the numbers press hardest on defines much of the story here: distance to a nursing home lies in the top 2.8% nationally, modeled fine-particle settles in the top 3.8% nationally, and distance to an emergency room stands in the top 4.4% nationally. Modeled transportation is in the top 6.8% nationally, and loneliness rests in the top 7.5% nationally. On the encouraging side, pharmacy sits in the top 0.9% nationally, and civic registers in the top 3.8% nationally. Modeled short sleep lands in the bottom 3.8% nationally, and humid heat resides in the bottom 7.1% nationally. Modeled transportation noise lies in the bottom 9.2% nationally.
Set against the neighboring ZIPs, pharmacy runs far higher than the surrounding ZIPs on this measure. In everyday language, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. A healthier neighbor overall sits at ZIP 99018, 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
Risk Behavior
healthier than 93%
11%
Climate / Disaster RiskPartial
healthier than 97%
5%
About typical
Preventive Care
healthier than 44%
13%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Social Need / SDOH
healthier than 22%
16%
Environmental Hazard
healthier than 39%
14%
Mental Health
healthier than 27%
8%
Disability
healthier than 24%
7%
Healthcare Access
healthier than 9%
5%
Lifting this score
Preventive Care
healthier than 70%
13%
Risk Behavior
healthier than 71%
11%
Climate / Disaster RiskPartial
healthier than 83%
5%
About typical
Environmental Hazard
healthier than 40%
14%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 2%
16%
Mental Health
healthier than 38%
8%
Disability
healthier than 7%
7%
Healthcare Access
healthier than 10%
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
83824
Idahoshares a border
Score 44.46
Closest healthier
99018
Washingtonshares a border
Score 51.42
Similar health profile
97823
Oregon97% similar profile
Score 44.40
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 | 34.8% | 31.5–38.0 |
| High blood pressure among adults | 39.8% | 36.1–43.2 |
| Cancer (non-skin) or melanoma among adults | 12.2% | 11.1–13.4 |
| Current asthma among adults | 12.4% | 11.0–13.8 |
| Coronary heart disease among adults | 9.4% | 8.2–10.6 |
| Chronic obstructive pulmonary disease among adults | 9.3% | 7.7–11.2 |
| Depression among adults | 26.3% | 23.1–29.4 |
| Diagnosed diabetes among adults | 13.6% | 11.6–15.6 |
| High cholesterol among adults who have ever been screened | 40.2% | 36.6–43.6 |
| Obesity among adults | 33.3% | 28.4–38.1 |
| Stroke among adults | 5.0% | 4.3–5.7 |
| All teeth lost among adults aged >=65 years | 16.2% | 13.4–19.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.8% | 6.1–9.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.9% | 77.1–82.4 |
| Visits to doctor for routine checkup within the past year among adults | 75.8% | 72.9–78.6 |
| Cholesterol screening among adults | 85.9% | 84.0–87.7 |
| Colorectal cancer screening among adults aged 45–75 years | 68.2% | 64.2–72.2 |
| Visited dentist or dental clinic in the past year among adults | 64.7% | 61.8–67.7 |
| Mammography use among women aged 50-74 years | 70.3% | 63.2–76.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.1% | 11.1–15.2 |
| Current cigarette smoking among adults | 13.7% | 11.0–16.6 |
| No leisure-time physical activity among adults | 21.9% | 18.1–25.8 |
| Short sleep duration among adults | 28.3% | 24.7–32.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.6% | 18.3–25.3 |
| Frequent mental distress among adults | 17.3% | 15.3–19.4 |
| Frequent physical distress among adults | 17.1% | 14.8–19.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.8% | 13.7–18.3 |
| Any disability among adults | 36.8% | 32.5–41.3 |
| Hearing disability among adults | 10.8% | 9.5–12.1 |
| Independent living disability among adults | 10.1% | 8.6–11.8 |
| Mobility disability among adults | 18.1% | 15.3–21.2 |
| Self-care disability among adults | 5.1% | 4.3–6.0 |
| Vision disability among adults | 6.0% | 5.1–7.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.3% | 19.8–32.6 |
| Food insecurity in the past 12 months among adults | 21.7% | 12.9–31.0 |
| Received food stamps in the past 12 months among adults | 15.3% | 8.5–23.0 |
| Housing insecurity in the past 12 months among adults | 17.3% | 11.1–23.3 |
| Lack of reliable transportation in the past 12 months among adults | 14.7% | 10.2–19.4 |
| Loneliness among adults | 38.4% | 31.9–45.0 |
| Utility services shut-off threat in the past 12 months among adults | 10.5% | 7.0–13.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.3% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 22.7% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 6.9% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 22.2% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 3.9% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 0.8% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 81.0% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 35.8% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 66.8% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 3.8% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 59.8% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 31.3% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 52.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $58,750 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $253,300 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $796 | $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 | 78.5 yr ± 1.00 | 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 1.00 years of 78.5, 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