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ZipVitals

ZIP code

99129

in Fruitland, WashingtonPopulation 725

36.94/ 100

Ranked #28,564 of 32,066 US ZIPs (bottom 11.0%)

Ranked #576 of 581 Washington ZIPs (bottom 0.9%)

Ranked #56 of 57 Spokane-Spokane Valley, WA ZIPs (bottom 1.8%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Broad coverage across health domains

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

60.6%

in the bottom 0.9% nationally

Higher is healthier

ST1st
US1st
Definition & source ›

The estimated share of women aged 50–74 who had a mammogram within the past two years.

Full methodology ›

Distance to a Superfund site

In this ZIP

at the national minimum

Higher is healthier

ST1st
US1st
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.

Full methodology ›

Distance to a nursing home

25.4 mi

in the top 2.2% nationally

Lower is healthier

ST95th
US98th
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.

Full methodology ›

Fine-particle (PM2.5) exceedance

2.8%

in the top 2.5% nationally

Lower is healthier

ST93rd
US98th
Definition & 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 ›

Industrial-pollution burden

in the bottom 3.0% nationally

Lower is healthier

ST3rd
US3rd
Definition & 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 ›

Slow internet speeds

2.7%

in the top 4.4% nationally

Lower is healthier

ST96th
US96th
Definition & source ›

The share of homes whose fastest available download speed is under 10 Mbps.

Full methodology ›

Hearing disability

11.7%

in the top 5.6% nationally

Lower is healthier

ST98th
US94th
Definition & source ›

The estimated share of adults who are deaf or have serious difficulty hearing.

Full methodology ›

Stroke

5.6%

in the top 6.9% nationally

Lower is healthier

ST99th
US93rd
Definition & source ›

The estimated share of adults who have been told by a health professional that they have had a stroke.

Full methodology ›

Unemployment rate

11.3%

in the top 7.3% nationally

Lower is healthier

ST93rd
US93rd
Definition & source ›

The share of the civilian labor force that is unemployed.

Full methodology ›

Coronary heart disease

10.2%

in the top 8.3% nationally

Lower is healthier

ST97th
US92nd
Definition & source ›

The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.

Full methodology ›

The read

By its overall health score, Fruitland, Washington (ZIP 99129) lands in the bottom 11.0% nationally (28,564th) and the bottom 0.9% of Washington (576th), based on limited data; treat as directional.

continue reading

Plainly stated, a few measures mark out this area: modeled mammography sits in the bottom 0.9% nationally, and distance to a Superfund site rests at the national minimum. Distance to a nursing home is in the top 2.2% nationally, and modeled fine-particle stands in the top 2.5% nationally. Slow internet speeds settles in the top 4.4% nationally, modeled hearing disability lies in the top 5.6% nationally, and modeled stroke resides in the top 6.9% nationally. Unemployment lands in the top 7.3% nationally, and modeled coronary heart disease registers in the top 8.3% nationally. Better still, modeled industrial-pollution burden sits in the bottom 3.0% nationally.

Weighed against the ZIPs nearby, slow internet speeds runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. 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. Overall, the nearest healthier neighbor is ZIP 99122, 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 Spokane-Spokane Valley, WA metro area.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Social Need / SDOH

healthier than 64%

16%

Climate / Disaster RiskPartial

healthier than 96%

5%

About typical

Risk Behavior

healthier than 46%

11%

Holding it back

Chronic Disease Burden

healthier than 9%

21%

Environmental Hazard

healthier than 19%

14%

Preventive Care

healthier than 7%

13%

Mental Health

healthier than 23%

8%

Disability

healthier than 8%

7%

Healthcare Access

healthier than 6%

5%

Lifting this score

Climate / Disaster RiskPartial

healthier than 82%

5%

Holding it back

Chronic Disease Burden

in the bottom 0.8%

21%

Social Need / SDOH

healthier than 23%

16%

Environmental Hazard

healthier than 21%

14%

Preventive Care

healthier than 12%

13%

Risk Behavior

healthier than 6%

11%

Mental Health

healthier than 32%

8%

Disability

in the bottom 0.3%

7%

Healthcare Access

healthier than 6%

5%

Lifting this score

Environmental Hazard

healthier than 72%

14%

Climate / Disaster RiskPartial

healthier than 94%

5%

Holding it back

Chronic Disease Burden

in the bottom 0.00%

21%

Social Need / SDOH

healthier than 27%

16%

Preventive Care

healthier than 7%

13%

Risk Behavior

healthier than 7%

11%

Mental Health

healthier than 38%

8%

Disability

in the bottom 0.00%

7%

Healthcare Access

in the bottom 0.5%

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 ›

Nearby & similar ZIPs

Editorially selected — see how this ZIP compares to nearby and similar places.

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
MeasureCrude prevalence95% CI
Arthritis among adults36.8%33.8–39.9
High blood pressure among adults41.1%37.8–44.6
Cancer (non-skin) or melanoma among adults10.2%9.3–11.2
Current asthma among adults14.1%12.7–15.7
Coronary heart disease among adults10.2%9.1–11.4
Chronic obstructive pulmonary disease among adults10.5%9.2–12.0
Depression among adults25.0%22.1–28.1
Diagnosed diabetes among adults16.6%14.7–18.7
High cholesterol among adults who have ever been screened38.1%34.9–41.5
Obesity among adults39.1%34.4–44.1
Stroke among adults5.6%5.1–6.2
All teeth lost among adults aged >=65 years21.2%18.1–24.6
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years9.6%7.6–11.9
Taking medicine to control high blood pressure among adults with high blood pressure74.7%71.6–77.7
Visits to doctor for routine checkup within the past year among adults72.9%69.7–76.0
Cholesterol screening among adults82.4%80.1–84.4
Colorectal cancer screening among adults aged 45–75 years59.0%55.0–63.0
Visited dentist or dental clinic in the past year among adults55.0%51.7–58.2
Mammography use among women aged 50-74 years60.6%53.8–67.1
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.0%11.9–16.4
Current cigarette smoking among adults20.1%17.4–23.2
No leisure-time physical activity among adults26.3%22.8–30.2
Short sleep duration among adults35.3%31.2–39.6
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults27.3%24.3–30.8
Frequent mental distress among adults18.8%16.9–21.0
Frequent physical distress among adults19.7%17.6–22.1
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults18.8%16.8–21.2
Any disability among adults42.0%38.1–46.2
Hearing disability among adults11.7%10.5–13.0
Independent living disability among adults12.3%10.9–13.9
Mobility disability among adults21.9%19.4–24.6
Self-care disability among adults6.2%5.5–7.0
Vision disability among adults8.5%7.6–9.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WA median (p10–p90)
Poverty rate22.1%10.6% (3.1–25.8%) n=32,3649.6% (3.5–22.3%) n=583
Uninsured 18–646.5%9.0% (1.5–24.3%) n=32,2868.2% (1.8–22.7%) n=582
No HS diploma (25+)13.3%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.5%) n=588
Bachelor's or higher (25+)8.3%23.3% (9.2–53.6%) n=32,50527.4% (12.3–59.7%) n=588
Unemployment rate (16+)11.3%3.9% (0.0–9.8%) n=32,2744.5% (0.0–9.7%) n=584
Households without a vehicle3.8%3.9% (0.0–12.5%) n=32,3223.7% (0.0–10.2%) n=580
Broadband subscription77.7%89.3% (75.1–97.1%) n=32,32292.7% (81.1–97.4%) n=580
Housing cost burden (≥30% income)15.7%23.7% (10.6–40.0%) n=32,32228.9% (14.6–40.6%) n=580
Homeownership rate69.2%78.7% (51.7–94.0%) n=32,32275.2% (48.2–91.7%) n=580
Crowded housing (>1 per room)5.0%1.3% (0.0–6.3%) n=32,3222.6% (0.0–7.9%) n=580
Foreign-born population1.5%2.6% (0.0–18.6%) n=32,5536.7% (0.3–27.6%) n=588
Single-parent households63.6%53.6% (37.3–74.1%) n=32,08754.3% (40.5–76.0%) n=574
Population 65+33.2%19.4% (10.8–33.6%) n=32,55318.9% (10.3–36.9%) n=588
Median age56.6 yr42.2 yr (33.0–56.3) n=32,29241.0 yr (32.9–58.8) n=584
Median household income$40,938$72,070 ($46,039–$118,707) n=30,318$84,646 ($56,217–$132,145) n=547
Median home value$220,000$222,200 ($100,300–$579,820) n=30,049$452,750 ($241,540–$826,380) n=542
Median gross rent$430$1,021 ($677–$1,912) n=25,670$1,416 ($840–$2,197) n=476
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)WA median (p10–p90)
Life expectancy at birth76.6 yr ± 0.7278.9 yr (74.7–82.8) n=31,30880.2 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 0.72 years of 76.6, and it’s very unlikely to be off by more than twice that.

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