ZIP code
95333
in Le Grand, CaliforniaPopulation 2,963
33.41/ 100
Ranked #29,926 of 32,066 US ZIPs (bottom 6.7%)
Ranked #1,640 of 1,719 California ZIPs (bottom 4.6%)
Ranked #16 of 19 Merced, CA ZIPs (bottom 16%)
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
50.2%
in the bottom 2.1% nationally
Higher is healthier
ST10thUS2ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Fair or poor health
36%
in the top 2.1% nationally
Lower is healthier
ST95thUS98thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Vision disability
11.0%
in the top 3.2% nationally
Lower is healthier
ST95thUS97thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Uninsured (under 65)
21.8%
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
101.5 days/year
in the top 1.5% nationally
Lower is healthier
ST92ndUS99thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Fine-particle (PM2.5) exceedance
3.4%
in the top 2.0% nationally
Lower is healthier
ST79thUS98thDefinition & 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 ›Self-care disability
7.3%
in the top 4.7% nationally
Lower is healthier
ST95thUS95thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Natural-disaster risk
in the top 3.2% nationally
Lower is healthier
ST87thUS97thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Cognitive disability
21.7%
in the top 4.4% nationally
Lower is healthier
ST94thUS96thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Housing insecurity
25.9%
in the top 3.5% nationally
Lower is healthier
ST93rdUS97thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›The read
By the composite health measure, Le Grand, California (ZIP 95333) ranks in the bottom 6.7% nationally (29,926th) and the bottom 4.6% of California (1,640th).
Several measures weigh most on this area's profile, and they come first: modeled colon screening lies in the bottom 2.1% nationally, and fair or poor health lands in the top 2.1% nationally. Modeled vision disability sits in the top 3.2% nationally, and uninsured is in the top 3.5% nationally. Modeled extreme heat settles in the top 1.5% nationally, fine-particle resides in the top 2.0% nationally, and self-care disability registers in the top 4.7% nationally. Modeled disaster risk rests in the top 3.2% nationally, cognitive disability stands in the top 4.4% nationally, and housing insecurity lies in the top 3.5% nationally.
To spell things out, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Close by, ZIP 93610, just across the boundary, ranks 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 Merced, CA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 67%
5%
About typical
Chronic Disease Burden
healthier than 50%
21%
Holding it back
Social Need / SDOH
healthier than 5%
16%
Environmental Hazard
healthier than 5%
14%
Preventive Care
healthier than 2%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 30%
8%
Disability
healthier than 5%
7%
Climate / Disaster Risk
healthier than 7%
5%
Nothing measured is lifting this score.
About typical
Healthcare Access
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Social Need / SDOH
healthier than 8%
16%
Environmental Hazard
healthier than 23%
14%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 20%
8%
Disability
healthier than 5%
7%
Climate / Disaster Risk
healthier than 7%
5%
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 56%
14%
Preventive Care
healthier than 44%
13%
Healthcare Access
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 39%
16%
Risk Behavior
healthier than 33%
11%
Mental Health
healthier than 28%
8%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 39%
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
93610
Californiashares a border
Score 35.47
Closest healthier
93653
Californiashares a border
Score 46.54
Similar health profile
93286
California99% similar profile
Score 34.77
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 | 24.2% | 21.4–27.2 |
| High blood pressure among adults | 35.8% | 31.8–40.0 |
| Cancer (non-skin) or melanoma among adults | 6.0% | 5.4–6.6 |
| Current asthma among adults | 10.3% | 9.1–11.6 |
| Coronary heart disease among adults | 8.0% | 7.2–8.9 |
| Chronic obstructive pulmonary disease among adults | 8.2% | 7.2–9.2 |
| Depression among adults | 22.3% | 19.1–26.0 |
| Diagnosed diabetes among adults | 16.3% | 14.3–18.5 |
| High cholesterol among adults who have ever been screened | 38.3% | 34.1–42.7 |
| Obesity among adults | 37.0% | 29.7–44.8 |
| Stroke among adults | 4.5% | 4.1–4.9 |
| All teeth lost among adults aged >=65 years | 17.5% | 14.5–20.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 21.8% | 18.2–25.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.1% | 67.7–74.2 |
| Visits to doctor for routine checkup within the past year among adults | 69.9% | 65.6–74.1 |
| Cholesterol screening among adults | 80.6% | 77.8–83.1 |
| Colorectal cancer screening among adults aged 45–75 years | 50.2% | 44.8–55.9 |
| Visited dentist or dental clinic in the past year among adults | 49.9% | 46.3–53.8 |
| Mammography use among women aged 50-74 years | 67.1% | 58.4–75.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.8% | 12.1–17.8 |
| Current cigarette smoking among adults | 16.8% | 14.5–19.3 |
| No leisure-time physical activity among adults | 38.7% | 33.6–44.2 |
| Short sleep duration among adults | 37.9% | 31.6–44.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 36.0% | 32.1–40.1 |
| Frequent mental distress among adults | 19.7% | 17.5–22.0 |
| Frequent physical distress among adults | 19.4% | 17.2–21.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.7% | 19.2–24.3 |
| Any disability among adults | 42.0% | 37.1–46.9 |
| Hearing disability among adults | 8.4% | 7.5–9.4 |
| Independent living disability among adults | 13.2% | 11.7–14.8 |
| Mobility disability among adults | 22.1% | 19.5–24.8 |
| Self-care disability among adults | 7.3% | 6.5–8.1 |
| Vision disability among adults | 11.0% | 9.8–12.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.6% | 26.3–35.2 |
| Food insecurity in the past 12 months among adults | 34.3% | 29.6–39.3 |
| Received food stamps in the past 12 months among adults | 32.2% | 27.9–36.7 |
| Housing insecurity in the past 12 months among adults | 25.9% | 22.4–29.6 |
| Lack of reliable transportation in the past 12 months among adults | 16.4% | 14.2–18.7 |
| Loneliness among adults | 39.5% | 33.8–45.1 |
| Utility services shut-off threat in the past 12 months among adults | 13.9% | 12.0–15.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.7% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 10.2% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 39.7% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 14.3% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 8.9% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 6.7% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 79.3% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 36.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 64.3% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 10.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 23.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 58.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 12.5% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 31.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $62,813 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $340,200 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $932 | $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 | 80.0 yr ± 1.43 | 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 1.43 years of 80.0, 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