ZIP code
93673
in Traver, CaliforniaPopulation 348
26.24/ 100
Ranked #31,324 of 32,066 US ZIPs (bottom 2.4%)
Ranked #1,704 of 1,719 California ZIPs (bottom 0.9%)
Ranked #30 of 31 Visalia, CA ZIPs (bottom 3.3%)
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.
Colon-cancer screening
41.9%
in the bottom 0.4% 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 ›Vision disability
14.2%
in the top 0.7% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Uninsured (under 65)
29%
in the top 1.3% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Nitrate in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams 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 ›Fair or poor health
41.7%
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Fine-particle (PM2.5) exceedance
9.9%
in the top 0.05% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Cognitive disability
25.4%
in the top 0.9% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Self-care disability
8.7%
in the top 1.7% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Housing insecurity
34.5%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Food insecurity
46%
in the top 0.7% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›The read
On balance, and by the composite measure, Traver, California (ZIP 93673) ranks in the bottom 2.4% nationally (31,324th) and the bottom 0.9% of California (1,704th).
The measures that press hardest set the tone here: modeled colon screening registers in the bottom 0.4% nationally, and vision disability sits in the top 0.7% nationally. Modeled uninsured rests in the top 1.3% nationally, and nitrate is at the national maximum. Modeled fair or poor health stands in the top 0.4% nationally, fine-particle settles in the top 0.05% nationally, and cognitive disability lies in the top 0.9% nationally. Modeled self-care disability resides in the top 1.7% nationally, housing insecurity lands in the top 0.5% nationally, and food insecurity registers in the top 0.7% nationally.
Compared with the ZIPs it borders, outer-floodplain exposure runs far lower than the surrounding ZIPs on this measure. In plainer terms, nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. For a healthier nearby ZIP overall, look to ZIP 93631, 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 Visalia, CA 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 61%
21%
About typical
Healthcare Access
healthier than 51%
5%
Holding it back
Social Need / SDOH
healthier than 2%
16%
Environmental Hazard
healthier than 1%
14%
Preventive Care
in the bottom 0.2%
13%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 14%
8%
Disability
healthier than 2%
7%
Climate / Disaster Risk
healthier than 5%
5%
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Social Need / SDOH
healthier than 2%
16%
Environmental Hazard
healthier than 6%
14%
Preventive Care
in the bottom 0.7%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 2%
7%
Climate / Disaster Risk
healthier than 5%
5%
Healthcare Access
healthier than 32%
5%
Nothing measured is lifting this score.
About typical
Healthcare Access
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Social Need / SDOH
healthier than 10%
16%
Environmental Hazard
healthier than 3%
14%
Preventive Care
healthier than 3%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 3%
8%
Disability
healthier than 7%
7%
Climate / Disaster Risk
healthier than 3%
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
93631
Californiashares a border
Score 48.14
Closest healthier
93618
Californiaabout 1.4 mi away
Score 36.72
Similar health profile
93627
California99% similar profile
Score 26.27
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 | 19.5% | 17.0–22.2 |
| High blood pressure among adults | 33.4% | 29.6–37.3 |
| Cancer (non-skin) or melanoma among adults | 3.9% | 3.4–4.4 |
| Current asthma among adults | 10.3% | 9.0–11.8 |
| Coronary heart disease among adults | 7.4% | 6.5–8.4 |
| Chronic obstructive pulmonary disease among adults | 7.5% | 6.4–8.8 |
| Depression among adults | 23.1% | 19.6–27.1 |
| Diagnosed diabetes among adults | 16.8% | 14.7–19.2 |
| High cholesterol among adults who have ever been screened | 34.0% | 30.0–38.2 |
| Obesity among adults | 41.1% | 33.9–49.0 |
| Stroke among adults | 4.2% | 3.7–4.7 |
| All teeth lost among adults aged >=65 years | 21.3% | 17.6–25.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 29.0% | 22.4–35.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 65.7% | 61.9–69.1 |
| Visits to doctor for routine checkup within the past year among adults | 64.8% | 59.7–69.5 |
| Cholesterol screening among adults | 74.6% | 70.6–78.2 |
| Colorectal cancer screening among adults aged 45–75 years | 41.9% | 37.0–47.2 |
| Visited dentist or dental clinic in the past year among adults | 39.9% | 36.3–43.6 |
| Mammography use among women aged 50-74 years | 66.5% | 57.3–74.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 12.3–18.4 |
| Current cigarette smoking among adults | 18.8% | 15.3–22.5 |
| No leisure-time physical activity among adults | 43.5% | 37.0–50.2 |
| Short sleep duration among adults | 37.9% | 31.9–44.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 41.7% | 36.0–47.8 |
| Frequent mental distress among adults | 21.9% | 19.1–24.9 |
| Frequent physical distress among adults | 20.7% | 17.9–23.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 25.4% | 21.3–29.5 |
| Any disability among adults | 45.6% | 39.4–51.9 |
| Hearing disability among adults | 7.9% | 6.9–9.0 |
| Independent living disability among adults | 15.2% | 12.7–17.9 |
| Mobility disability among adults | 22.3% | 19.1–25.8 |
| Self-care disability among adults | 8.7% | 7.3–10.1 |
| Vision disability among adults | 14.2% | 12.1–16.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 31.7% | 27.0–36.3 |
| Food insecurity in the past 12 months among adults | 46.0% | 38.8–53.2 |
| Received food stamps in the past 12 months among adults | 46.1% | 39.3–53.0 |
| Housing insecurity in the past 12 months among adults | 34.5% | 29.4–39.7 |
| Lack of reliable transportation in the past 12 months among adults | 23.2% | 19.5–26.9 |
| Loneliness among adults | 39.1% | 33.6–44.6 |
| Utility services shut-off threat in the past 12 months among adults | 20.0% | 17.0–23.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.8% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 13.9% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 37.1% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 7.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 17.3% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 69.4% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 37.0% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 70.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 12.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 28.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 56.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 19.0% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 40.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $44,167 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $187,500 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $950 | $1,021 ($677–$1,912) n=25,670 | $1,912 ($1,113–$2,923) n=1,461 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 82.6 yr ± 3.21 | 78.9 yr (74.7–82.8) n=31,308 | 80.5 yr (76.7–83.8) n=1,665 |
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 3.21 years of 82.6, 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