ZIP code
99341
in Lind, WashingtonPopulation 765
47.72/ 100
Ranked #19,285 of 32,066 US ZIPs (bottom 40%)
Ranked #466 of 581 Washington ZIPs (bottom 20%)
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.
Mammography
65%
in the bottom 2.9% nationally
Higher is healthier
ST6thUS3rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Crowded housing
13.8%
in the top 2.6% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Short sleep
27.5%
in the bottom 2.2% nationally
Lower is healthier
ST8thUS2ndDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Walkability
1.3 intersections/sq mi
in the bottom 3.9% nationally
Higher is healthier
ST7thUS4thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Fine-particle (PM2.5) exceedance
1.9%
in the top 4.8% nationally
Lower is healthier
ST73rdUS95thDefinition & 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 ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Distance to a nursing home
15.6 mi
in the top 5.1% nationally
Lower is healthier
ST86thUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Industrial-pollution burden
in the bottom 8.3% nationally
Lower is healthier
ST10thUS8thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Humid extreme heat
12.5 days/year
in the bottom 9.4% nationally
Lower is healthier
ST61stUS9thDefinition & 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 ›Dry extreme heat
18.8 days/year
in the top 24% nationally
Lower is healthier
ST93rdUS76thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
By the composite health measure, Lind, Washington (ZIP 99341) ranks in the bottom 40% nationally (19,285th) and the bottom 20% of Washington (466th).
A number of measures pull each way for this area: modeled short sleep lies in the bottom 2.2% nationally, and industrial-pollution burden lands in the bottom 8.3% nationally. Modeled humid heat sits in the bottom 9.4% nationally. Set against that, modeled mammography is in the bottom 2.9% nationally, crowded housing settles in the top 2.6% nationally, and walkability resides in the bottom 3.9% nationally. Modeled fine-particle registers in the top 4.8% nationally, modeled tree cover rests at the national minimum, and distance to a nursing home stands in the top 5.1% nationally. Modeled arsenic lies in the top 11.8% nationally.
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. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Close by, ZIP 99169, 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
Risk Behavior
healthier than 86%
11%
Climate / Disaster Risk
healthier than 77%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Mental Health
healthier than 40%
8%
Holding it back
Social Need / SDOH
healthier than 35%
16%
Environmental Hazard
healthier than 32%
14%
Preventive Care
healthier than 12%
13%
Disability
healthier than 35%
7%
Healthcare Access
healthier than 11%
5%
Lifting this score
Mental Health
healthier than 61%
8%
About typical
Risk Behavior
healthier than 55%
11%
Climate / Disaster Risk
healthier than 40%
5%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 33%
14%
Preventive Care
healthier than 20%
13%
Disability
healthier than 14%
7%
Healthcare Access
healthier than 11%
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
98857
Washingtonshares a border
Score 46.59
Closest healthier
99169
Washingtonshares a border
Score 51.00
Similar health profile
84021
Utah98% similar profile
Score 48.16
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 | 30.7% | 27.7–33.8 |
| High blood pressure among adults | 36.6% | 33.1–40.4 |
| Cancer (non-skin) or melanoma among adults | 9.8% | 8.9–10.9 |
| Current asthma among adults | 11.6% | 10.4–13.0 |
| Coronary heart disease among adults | 7.6% | 6.6–8.6 |
| Chronic obstructive pulmonary disease among adults | 8.3% | 6.8–9.8 |
| Depression among adults | 24.2% | 21.2–27.6 |
| Diagnosed diabetes among adults | 12.2% | 10.5–13.9 |
| High cholesterol among adults who have ever been screened | 38.3% | 34.7–42.3 |
| Obesity among adults | 33.9% | 28.7–40.0 |
| Stroke among adults | 4.1% | 3.6–4.7 |
| All teeth lost among adults aged >=65 years | 14.0% | 11.6–16.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.5% | 8.6–12.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.7% | 71.4–78.0 |
| Visits to doctor for routine checkup within the past year among adults | 72.2% | 68.6–76.0 |
| Cholesterol screening among adults | 84.1% | 82.0–86.3 |
| Colorectal cancer screening among adults aged 45–75 years | 63.8% | 59.1–68.5 |
| Visited dentist or dental clinic in the past year among adults | 58.7% | 55.3–62.1 |
| Mammography use among women aged 50-74 years | 65.0% | 57.4–72.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.7% | 13.2–18.9 |
| Current cigarette smoking among adults | 14.5% | 11.9–17.3 |
| No leisure-time physical activity among adults | 22.6% | 19.0–26.5 |
| Short sleep duration among adults | 27.5% | 23.3–32.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.6% | 18.3–25.1 |
| Frequent mental distress among adults | 17.1% | 15.3–19.2 |
| Frequent physical distress among adults | 16.0% | 13.9–18.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.6% | 14.4–19.0 |
| Any disability among adults | 33.2% | 28.9–37.7 |
| Hearing disability among adults | 8.7% | 7.6–9.7 |
| Independent living disability among adults | 9.4% | 8.0–10.8 |
| Mobility disability among adults | 15.8% | 13.3–18.4 |
| Self-care disability among adults | 4.8% | 4.0–5.5 |
| Vision disability among adults | 5.7% | 4.9–6.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.9% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 11.4% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 5.7% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 35.1% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 0.9% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 3.0% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 94.4% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 20.1% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 90.0% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 13.8% | 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 | 58.5% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 20.5% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 35.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $68,558 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $238,200 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $764 | $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 | 80.8 yr ± 2.95 | 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 2.95 years of 80.8, 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