ZIP code
98433
in Tacoma, WashingtonPopulation 22,493
51.81/ 100
Ranked #13,691 of 32,066 US ZIPs (top 43%)
Ranked #351 of 581 Washington ZIPs (bottom 40%)
Ranked #146 of 166 Seattle-Tacoma-Bellevue, WA ZIPs (bottom 12.1%)
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.
High cholesterol
17.5%
in the bottom 0.9% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Colon-cancer screening
44.4%
in the bottom 0.7% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›High blood pressure
16%
in the bottom 0.8% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Coronary heart disease
1.4%
in the bottom 0.8% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Binge drinking
23.9%
in the top 0.8% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Diabetes
3.3%
in the bottom 0.9% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Stroke
0.90%
in the bottom 0.8% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Housing-cost burden
71.4%
in the top 0.7% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Mobility disability
4.6%
in the bottom 0.8% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Homeownership rate
0.93%
in the bottom 0.9% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›The read
ZIP 98433, one of several in Tacoma, Washington ranks in the top 43% healthiest ZIPs nationally (13,691st) and the bottom 40% of Washington (351st).
A profile of give and take, with clear readings each way: modeled high cholesterol registers in the bottom 0.9% nationally, and high blood pressure lies in the bottom 0.8% nationally. Modeled coronary heart disease is in the bottom 0.8% nationally, and diabetes registers in the bottom 0.9% nationally. Modeled stroke lies in the bottom 0.8% nationally, and mobility disability is in the bottom 0.8% nationally. On the other side, modeled colon screening registers in the bottom 0.7% nationally, modeled binge drinking lies in the top 0.8% nationally, and housing-cost burden is in the top 0.7% nationally. Homeownership registers in the bottom 0.9% nationally.
Against its neighbors, slow internet speeds runs far higher than the surrounding ZIPs on this measure. The closest ZIP that ranks healthier overall is ZIP 98327, 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 Seattle-Tacoma-Bellevue, WA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 99%
21%
Environmental Hazard
healthier than 64%
14%
Disability
healthier than 81%
7%
Climate / Disaster Risk
healthier than 90%
5%
Healthcare Access
healthier than 73%
5%
About typical
Social Need / SDOH
healthier than 45%
16%
Holding it back
Preventive Care
in the bottom 0.8%
13%
Risk Behavior
healthier than 29%
11%
Mental Health
healthier than 2%
8%
Lifting this score
Chronic Disease Burden
healthier than 96%
21%
Environmental Hazard
healthier than 60%
14%
Disability
healthier than 69%
7%
About typical
Climate / Disaster Risk
healthier than 59%
5%
Healthcare Access
healthier than 59%
5%
Holding it back
Social Need / SDOH
healthier than 10%
16%
Preventive Care
healthier than 1%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 1%
8%
Lifting this score
Chronic Disease Burden
healthier than 93%
21%
Environmental Hazard
healthier than 72%
14%
About typical
Climate / Disaster Risk
healthier than 48%
5%
Healthcare Access
healthier than 42%
5%
Holding it back
Social Need / SDOH
healthier than 2%
16%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
in the bottom 0.7%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 39%
7%
“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
98303
Washingtonshares a border
Score 49.65
Closest healthier
98327
Washingtonshares a border
Score 62.50
Similar health profile
80902
Colorado100% similar profile
Score 50.61
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 | 7.7% | 7.0–8.4 |
| High blood pressure among adults | 16.0% | 14.5–17.4 |
| Cancer (non-skin) or melanoma among adults | 1.3% | 1.2–1.4 |
| Current asthma among adults | 10.4% | 9.4–11.3 |
| Coronary heart disease among adults | 1.4% | 1.2–1.5 |
| Chronic obstructive pulmonary disease among adults | 2.3% | 2.0–2.6 |
| Depression among adults | 28.8% | 26.4–31.0 |
| Diagnosed diabetes among adults | 3.3% | 2.9–3.6 |
| High cholesterol among adults who have ever been screened | 17.5% | 16.0–19.0 |
| Obesity among adults | 34.6% | 31.5–37.6 |
| Stroke among adults | 0.9% | 0.8–1.0 |
| All teeth lost among adults aged >=65 years | 16.4% | 14.1–19.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.3% | 11.5–15.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 29.7% | 27.0–32.2 |
| Visits to doctor for routine checkup within the past year among adults | 57.5% | 54.4–60.3 |
| Cholesterol screening among adults | 62.4% | 59.4–65.4 |
| Colorectal cancer screening among adults aged 45–75 years | 44.4% | 41.4–47.3 |
| Visited dentist or dental clinic in the past year among adults | 56.8% | 54.3–59.1 |
| Mammography use among women aged 50-74 years | 67.1% | 62.4–71.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 23.9% | 21.5–26.2 |
| Current cigarette smoking among adults | 10.4% | 9.0–11.7 |
| No leisure-time physical activity among adults | 17.2% | 15.2–19.2 |
| Short sleep duration among adults | 39.4% | 36.6–42.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.9% | 14.2–17.7 |
| Frequent mental distress among adults | 24.5% | 22.4–26.5 |
| Frequent physical distress among adults | 10.2% | 9.2–11.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.8% | 20.5–24.9 |
| Any disability among adults | 31.7% | 28.9–34.3 |
| Hearing disability among adults | 3.2% | 2.9–3.6 |
| Independent living disability among adults | 8.6% | 7.7–9.6 |
| Mobility disability among adults | 4.6% | 4.1–5.1 |
| Self-care disability among adults | 1.9% | 1.8–2.1 |
| Vision disability among adults | 4.4% | 4.0–4.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.0% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 2.7% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 3.0% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 25.4% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 8.3% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 4.2% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 98.7% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 71.4% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 0.9% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 7.7% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 10.1% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 25.0% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 0.1% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 23.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $60,158 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $2,312 | $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 ± 0.94 | 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 0.94 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