ZIP code
99013
in Ford, WashingtonPopulation 1,620
39.24/ 100
Ranked #27,243 of 32,066 US ZIPs (bottom 15%)
Ranked #571 of 581 Washington ZIPs (bottom 1.8%)
Ranked #55 of 57 Spokane-Spokane Valley, WA ZIPs (bottom 3.6%)
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
62.2%
in the bottom 1.2% 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 ›Crowded housing
19.1%
in the top 1.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Fine-particle (PM2.5) exceedance
2.2%
in the top 3.7% nationally
Lower is healthier
ST88thUS96thDefinition & 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
25%
in the top 4.4% nationally
Lower is healthier
ST95thUS96thDefinition & 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 ›Humid extreme heat
9.3 days/year
in the bottom 6.4% nationally
Lower is healthier
ST43rdUS6thDefinition & 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 ›Distance to a nursing home
11.3 mi
in the top 8.9% nationally
Lower is healthier
ST77thUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Unemployment rate
9.9%
in the top 9.8% nationally
Lower is healthier
ST91stUS90thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Fatal road crashes
30.9 per 100,000 residents per year
in the top 12.6% nationally
Lower is healthier
ST92ndUS87thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Cognitive disability
18.9%
in the top 14.6% nationally
Lower is healthier
ST92ndUS85thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Colon-cancer screening
59.8%
in the bottom 13.7% nationally
Higher is healthier
ST9thUS14thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›The read
Ford, Washington (ZIP 99013) ranks in the bottom 15% nationally (27,243rd) and the bottom 1.8% of Washington (571st), based on limited data; treat as directional.
A number of readings press hard on the profile and set its tone: modeled mammography resides in the bottom 1.2% nationally, and crowded housing stands in the top 1.4% nationally. Modeled fine-particle sits in the top 3.7% nationally, and arsenic resides in the top 4.4% nationally. Distance to a nursing home stands in the top 8.9% nationally. Fiber broadband sits at the national minimum, shared with about 19% of ZIPs. Unemployment resides in the top 9.8% nationally, and fatal road crashes stands in the top 12.6% nationally. On the brighter side, modeled humid heat sits in the bottom 6.4% nationally. Modeled loud transportation noise resides at the national minimum, shared with about 22% of ZIPs.
Against its neighbors, crowded housing runs far higher than the surrounding ZIPs on this measure. For context, 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. The closest ZIP that ranks healthier overall is ZIP 99006, 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.
Lifting this score
Climate / Disaster RiskPartial
healthier than 96%
5%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Social Need / SDOH
healthier than 24%
16%
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 33%
11%
Mental Health
healthier than 15%
8%
Disability
healthier than 17%
7%
Healthcare Access
healthier than 25%
5%
Lifting this score
Climate / Disaster RiskPartial
healthier than 81%
5%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Social Need / SDOH
healthier than 2%
16%
Environmental Hazard
healthier than 23%
14%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 21%
8%
Disability
healthier than 3%
7%
Healthcare Access
healthier than 22%
5%
Lifting this score
Environmental Hazard
healthier than 80%
14%
Climate / Disaster RiskPartial
healthier than 94%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
in the bottom 0.00%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 26%
8%
Disability
in the bottom 0.00%
7%
Healthcare Access
healthier than 8%
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
99006
Washingtonshares a border
Score 49.06
Closest healthier
99026
Washingtonshares a border
Score 55.02
Similar health profile
84085
Utah98% similar profile
Score 35.56
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 | 31.4% | 29.1–33.8 |
| High blood pressure among adults | 35.9% | 33.2–38.7 |
| Cancer (non-skin) or melanoma among adults | 8.1% | 7.5–8.7 |
| Current asthma among adults | 13.9% | 12.6–15.2 |
| Coronary heart disease among adults | 7.9% | 7.1–8.7 |
| Chronic obstructive pulmonary disease among adults | 8.7% | 7.6–9.8 |
| Depression among adults | 25.9% | 23.4–28.6 |
| Diagnosed diabetes among adults | 14.0% | 12.6–15.5 |
| High cholesterol among adults who have ever been screened | 35.0% | 32.4–37.7 |
| Obesity among adults | 39.5% | 35.5–43.8 |
| Stroke among adults | 4.5% | 4.1–4.9 |
| All teeth lost among adults aged >=65 years | 16.6% | 14.4–19.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.7% | 8.0–11.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.2% | 67.6–72.8 |
| Visits to doctor for routine checkup within the past year among adults | 70.3% | 67.3–73.1 |
| Cholesterol screening among adults | 80.4% | 78.5–82.4 |
| Colorectal cancer screening among adults aged 45–75 years | 59.8% | 56.3–63.3 |
| Visited dentist or dental clinic in the past year among adults | 53.6% | 50.9–56.4 |
| Mammography use among women aged 50-74 years | 62.2% | 56.4–67.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.3% | 14.2–18.4 |
| Current cigarette smoking among adults | 19.7% | 17.1–22.4 |
| No leisure-time physical activity among adults | 24.3% | 21.2–27.5 |
| Short sleep duration among adults | 36.7% | 33.1–40.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.2% | 22.5–28.1 |
| Frequent mental distress among adults | 19.7% | 17.8–21.6 |
| Frequent physical distress among adults | 18.1% | 16.3–20.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.9% | 17.0–21.1 |
| Any disability among adults | 38.3% | 34.9–41.8 |
| Hearing disability among adults | 9.3% | 8.5–10.3 |
| Independent living disability among adults | 11.4% | 10.1–12.7 |
| Mobility disability among adults | 18.3% | 16.4–20.5 |
| Self-care disability among adults | 5.5% | 4.9–6.2 |
| Vision disability among adults | 7.6% | 6.8–8.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.5% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 24.2% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 10.6% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 5.7% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 9.9% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 5.3% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 80.3% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 30.1% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 77.8% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 19.1% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 2.2% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 54.7% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 15.3% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 35.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $49,518 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $214,000 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $527 | $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 | 78.7 yr ± 0.75 | 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 0.75 years of 78.7, 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