ZIP code
93954
in San Lucas, CaliforniaPopulation 191
42.90/ 100
Ranked #24,465 of 32,066 US ZIPs (bottom 24%)
Ranked #1,394 of 1,719 California ZIPs (bottom 19%)
Ranked #24 of 28 Salinas, CA ZIPs (bottom 14.3%)
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.
Uninsured (under 65)
24.8%
in the top 2.4% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Colon-cancer screening
49.6%
in the bottom 1.8% nationally
Higher is healthier
ST8thUS2ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Crowded housing
14.6%
in the top 2.3% nationally
Lower is healthier
ST88thUS98thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Vision disability
10.0%
in the top 4.9% nationally
Lower is healthier
ST92ndUS95thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Housing insecurity
27.2%
in the top 2.8% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Fair or poor health
32.5%
in the top 4.8% nationally
Lower is healthier
ST91stUS95thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Nitrate in drinking water
9.2%
in the top 3.2% nationally
Lower is healthier
ST91stUS97thDefinition & 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 ›Food insecurity
33.9%
in the top 4.0% nationally
Lower is healthier
ST93rdUS96thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Lack of transportation
16.6%
in the top 4.5% nationally
Lower is healthier
ST93rdUS96thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›The read
On the composite measure, San Lucas, California (ZIP 93954) stands in the bottom 24% nationally (24,465th) and the bottom 19% of California (1,394th).
Several readings make the pressure on this area plain: modeled uninsured settles in the top 2.4% nationally, and colon screening rests in the bottom 1.8% nationally. Crowded housing lands in the top 2.3% nationally, and modeled vision disability settles in the top 4.9% nationally. Modeled housing insecurity rests in the top 2.8% nationally, fair or poor health lands in the top 4.8% nationally, and nitrate settles in the top 3.2% nationally. Modeled food insecurity rests in the top 4.0% nationally, and transportation lands in the top 4.5% nationally. On the encouraging side, home broadband subscription settles at the national maximum.
For clarity, nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. ZIP 93450, just across the boundary, ranks better overall among the ZIPs nearby.
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 Salinas, 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 84%
21%
About typical
Environmental Hazard
healthier than 53%
14%
Mental Health
healthier than 49%
8%
Holding it back
Social Need / SDOH
healthier than 7%
16%
Preventive Care
in the bottom 1.0%
13%
Risk Behavior
healthier than 33%
11%
Disability
healthier than 16%
7%
Climate / Disaster Risk
healthier than 25%
5%
Healthcare Access
healthier than 21%
5%
Lifting this score
Environmental Hazard
healthier than 75%
14%
About typical
Chronic Disease Burden
healthier than 56%
21%
Mental Health
healthier than 41%
8%
Holding it back
Social Need / SDOH
healthier than 12%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 16%
11%
Disability
healthier than 15%
7%
Climate / Disaster Risk
healthier than 24%
5%
Healthcare Access
healthier than 14%
5%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 52%
21%
Environmental Hazard
healthier than 52%
14%
Holding it back
Social Need / SDOH
healthier than 4%
16%
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 22%
11%
Mental Health
healthier than 26%
8%
Disability
healthier than 22%
7%
Climate / Disaster Risk
healthier than 4%
5%
Healthcare Access
healthier than 15%
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
93450
Californiashares a border
Score 54.65
Closest healthier
93932
Californiaabout 1.9 mi away
Score 54.61
Similar health profile
92408
California96% similar profile
Score 42.55
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 | 17.7% | 15.4–20.2 |
| High blood pressure among adults | 29.4% | 25.8–33.1 |
| Cancer (non-skin) or melanoma among adults | 4.2% | 3.7–4.6 |
| Current asthma among adults | 9.7% | 8.4–11.0 |
| Coronary heart disease among adults | 5.9% | 5.1–6.8 |
| Chronic obstructive pulmonary disease among adults | 5.1% | 4.2–6.1 |
| Depression among adults | 20.1% | 16.8–23.4 |
| Diagnosed diabetes among adults | 13.4% | 11.5–15.4 |
| High cholesterol among adults who have ever been screened | 32.4% | 28.6–36.2 |
| Obesity among adults | 35.3% | 28.6–42.2 |
| Stroke among adults | 3.2% | 2.8–3.7 |
| All teeth lost among adults aged >=65 years | 19.3% | 15.8–23.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 24.8% | 18.7–31.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 65.2% | 61.8–68.3 |
| Visits to doctor for routine checkup within the past year among adults | 67.9% | 63.5–72.0 |
| Cholesterol screening among adults | 78.5% | 74.7–82.1 |
| Colorectal cancer screening among adults aged 45–75 years | 49.6% | 44.4–54.9 |
| Visited dentist or dental clinic in the past year among adults | 50.4% | 46.4–54.1 |
| Mammography use among women aged 50-74 years | 68.6% | 59.7–76.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.7% | 13.8–19.9 |
| Current cigarette smoking among adults | 13.3% | 10.3–16.2 |
| No leisure-time physical activity among adults | 33.5% | 27.5–39.5 |
| Short sleep duration among adults | 36.1% | 30.4–42.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 32.5% | 27.3–37.9 |
| Frequent mental distress among adults | 19.0% | 16.3–21.5 |
| Frequent physical distress among adults | 16.5% | 14.0–19.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.9% | 17.4–24.5 |
| Any disability among adults | 36.7% | 30.9–42.2 |
| Hearing disability among adults | 6.6% | 5.7–7.5 |
| Independent living disability among adults | 11.1% | 9.1–13.2 |
| Mobility disability among adults | 16.8% | 14.0–19.8 |
| Self-care disability among adults | 5.8% | 4.8–6.9 |
| Vision disability among adults | 10.0% | 8.3–11.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.0% | 25.3–35.1 |
| Food insecurity in the past 12 months among adults | 33.9% | 27.2–40.6 |
| Received food stamps in the past 12 months among adults | 30.4% | 24.0–36.7 |
| Housing insecurity in the past 12 months among adults | 27.2% | 22.3–32.3 |
| Lack of reliable transportation in the past 12 months among adults | 16.6% | 13.5–19.8 |
| Loneliness among adults | 38.0% | 32.6–43.6 |
| Utility services shut-off threat in the past 12 months among adults | 13.7% | 11.3–16.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 30.9% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 9.3% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 26.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 5.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 1.6% | 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 | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 29.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 45.8% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 14.6% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 23.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 39.1% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 13.1% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 25.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $60,417 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $340,000 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,679 | $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 | 80.2 yr ± 1.40 | 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 1.40 years of 80.2, 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