ZIP code
93218
in Ducor, CaliforniaPopulation 780
41.66/ 100
Ranked #25,518 of 32,066 US ZIPs (bottom 20%)
Ranked #1,449 of 1,719 California ZIPs (bottom 16%)
Ranked #11 of 31 Visalia, CA ZIPs (top 35%)
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.
Crowded housing
34.9%
in the top 0.4% 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
6.7%
in the top 0.6% nationally
Lower is healthier
ST93rdUS99thDefinition & 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 ›Uninsured (under 65)
21.7%
in the top 3.5% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Dry extreme heat
110.8 days/year
in the top 1.1% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Colon-cancer screening
52.1%
in the bottom 2.9% nationally
Higher is healthier
ST14thUS3rdDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
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 ›Fair or poor health
30.8%
in the top 7.0% nationally
Lower is healthier
ST87thUS93rdDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Housing insecurity
23%
in the top 5.6% nationally
Lower is healthier
ST88thUS94thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Arsenic in groundwater
19.8%
in the top 6.6% nationally
Lower is healthier
ST92ndUS93rdDefinition & 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 ›Food insecurity
28.5%
in the top 7.3% nationally
Lower is healthier
ST87thUS93rdDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›The read
Ducor, California (ZIP 93218), overall, ranks in the bottom 20% nationally (25,518th) and the bottom 16% of California (1,449th).
This area's pressures are easy to read across the measures: crowded housing settles in the top 0.4% nationally, modeled fine-particle is in the top 0.6% nationally, and modeled uninsured sits in the top 3.5% nationally. Modeled extreme heat lands in the top 1.1% nationally, colon screening lies in the bottom 2.9% nationally, and tree cover stands at the national minimum. Modeled fair or poor health rests in the top 7.0% nationally, and housing insecurity registers in the top 5.6% nationally. Modeled arsenic resides in the top 6.6% nationally, and food insecurity settles in the top 7.3% nationally.
Measured against the nearby ZIPs, crowded housing runs far higher than the surrounding ZIPs on this measure. Defined simply, 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. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. ZIP 93207, about 7.5 miles away, comes out 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. 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 78%
21%
About typical
Risk Behavior
healthier than 43%
11%
Mental Health
healthier than 56%
8%
Holding it back
Social Need / SDOH
healthier than 5%
16%
Environmental Hazard
healthier than 5%
14%
Preventive Care
healthier than 2%
13%
Disability
healthier than 22%
7%
Climate / Disaster Risk
healthier than 19%
5%
Healthcare Access
healthier than 37%
5%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 45%
21%
Mental Health
healthier than 49%
8%
Holding it back
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 20%
14%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 22%
11%
Disability
healthier than 22%
7%
Climate / Disaster Risk
healthier than 16%
5%
Healthcare Access
healthier than 23%
5%
Lifting this score
Chronic Disease Burden
healthier than 80%
21%
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 60%
13%
Risk Behavior
healthier than 63%
11%
Mental Health
healthier than 83%
8%
Disability
healthier than 70%
7%
Climate / Disaster Risk
healthier than 73%
5%
About typical
Social Need / SDOH
healthier than 43%
16%
Holding it back
Healthcare Access
healthier than 27%
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
93215
Californiashares a border
Score 37.20
Closest healthier
93207
Californiaabout 7.5 mi away
Score 42.53
Similar health profile
93616
California99% similar profile
Score 42.05
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 | 19.7% | 17.1–22.3 |
| High blood pressure among adults | 31.2% | 27.6–35.0 |
| Cancer (non-skin) or melanoma among adults | 5.1% | 4.6–5.6 |
| Current asthma among adults | 9.4% | 8.3–10.7 |
| Coronary heart disease among adults | 6.5% | 5.7–7.2 |
| Chronic obstructive pulmonary disease among adults | 5.5% | 4.8–6.3 |
| Depression among adults | 20.3% | 17.2–23.7 |
| Diagnosed diabetes among adults | 14.2% | 12.2–16.1 |
| High cholesterol among adults who have ever been screened | 35.0% | 30.9–39.1 |
| Obesity among adults | 34.4% | 27.8–41.5 |
| Stroke among adults | 3.5% | 3.2–3.9 |
| All teeth lost among adults aged >=65 years | 19.0% | 15.8–22.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 21.7% | 17.9–26.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.8% | 66.5–72.8 |
| Visits to doctor for routine checkup within the past year among adults | 67.5% | 62.8–71.6 |
| Cholesterol screening among adults | 81.0% | 78.1–83.4 |
| Colorectal cancer screening among adults aged 45–75 years | 52.1% | 46.8–57.4 |
| Visited dentist or dental clinic in the past year among adults | 49.5% | 45.8–53.3 |
| Mammography use among women aged 50-74 years | 70.0% | 61.7–77.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.8% | 12.8–19.0 |
| Current cigarette smoking among adults | 12.4% | 10.5–14.7 |
| No leisure-time physical activity among adults | 34.5% | 29.4–40.0 |
| Short sleep duration among adults | 35.3% | 29.6–41.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.8% | 27.1–35.1 |
| Frequent mental distress among adults | 18.1% | 16.0–20.4 |
| Frequent physical distress among adults | 16.6% | 14.6–18.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.9% | 16.5–21.5 |
| Any disability among adults | 37.6% | 32.9–42.8 |
| Hearing disability among adults | 7.0% | 6.2–7.9 |
| Independent living disability among adults | 10.1% | 8.9–11.6 |
| Mobility disability among adults | 17.6% | 15.2–20.2 |
| Self-care disability among adults | 5.3% | 4.7–6.0 |
| Vision disability among adults | 8.7% | 7.8–9.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.8% | 27.0–35.4 |
| Food insecurity in the past 12 months among adults | 28.5% | 24.6–33.2 |
| Received food stamps in the past 12 months among adults | 23.8% | 20.4–27.9 |
| Housing insecurity in the past 12 months among adults | 23.0% | 20.1–26.5 |
| Lack of reliable transportation in the past 12 months among adults | 13.9% | 12.1–16.0 |
| Loneliness among adults | 37.9% | 33.0–43.3 |
| Utility services shut-off threat in the past 12 months among adults | 10.8% | 9.3–12.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.4% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 25.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 45.8% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 11.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 7.8% | 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 | 78.8% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 14.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 73.3% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 34.9% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 30.9% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 32.4% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 12.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 27.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $91,500 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $261,800 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,240 | $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 | 78.6 yr ± 1.08 | 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 1.08 years of 78.6, 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