ZIP code
95369
in Snelling, CaliforniaPopulation 740
42.13/ 100
Ranked #25,109 of 32,066 US ZIPs (bottom 22%)
Ranked #1,423 of 1,719 California ZIPs (bottom 17%)
Ranked #5 of 19 Merced, CA ZIPs (top 26%)
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.
Dry extreme heat
94.3 days/year
in the top 1.9% nationally
Lower is healthier
ST90thUS98thDefinition & 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
3.2%
in the top 2.2% nationally
Lower is healthier
ST78thUS98thDefinition & 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 ›Natural-disaster risk
in the top 3.8% nationally
Lower is healthier
ST85thUS96thDefinition & 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 ›Air-toxics cancer risk
40 per million
in the top 4.5% nationally
Lower is healthier
ST73rdUS96thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Walkability
1.5 intersections/sq mi
in the bottom 4.6% nationally
Higher is healthier
ST4thUS5thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Nitrate in drinking water
1.6%
in the top 5.9% nationally
Lower is healthier
ST86thUS94thDefinition & 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 ›The read
In overall standing, Snelling, California (ZIP 95369) comes out in the bottom 22% nationally (25,109th) and the bottom 17% of California (1,423rd).
The data is direct about where this area carries real strain: modeled extreme heat sits in the top 1.9% nationally, fine-particle settles in the top 2.2% nationally, and disaster risk registers in the top 3.8% nationally. Modeled air-toxics cancer risk stands in the top 4.5% nationally, walkability lands in the bottom 4.6% nationally, and modeled nitrate is in the top 5.9% nationally. Fiber broadband resides at the national minimum, shared with about 19% of ZIPs. Unemployment rests in the top 10.2% nationally, and slow internet speeds lies in the top 10.9% nationally. Modeled colon screening sits in the bottom 10.1% nationally.
In plain terms, 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. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. The nearest healthier ZIP overall is ZIP 95303, 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 Merced, CA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Nothing measured is lifting this score.
About typical
Risk Behavior
healthier than 46%
11%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Social Need / SDOH
healthier than 23%
16%
Environmental Hazard
healthier than 10%
14%
Preventive Care
healthier than 16%
13%
Mental Health
healthier than 37%
8%
Disability
healthier than 18%
7%
Climate / Disaster Risk
healthier than 25%
5%
Healthcare Access
healthier than 37%
5%
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Social Need / SDOH
healthier than 28%
16%
Environmental Hazard
healthier than 36%
14%
Preventive Care
healthier than 38%
13%
Risk Behavior
healthier than 25%
11%
Mental Health
healthier than 28%
8%
Disability
healthier than 17%
7%
Climate / Disaster Risk
healthier than 23%
5%
Healthcare Access
healthier than 23%
5%
Lifting this score
Social Need / SDOH
healthier than 89%
16%
Environmental Hazard
healthier than 72%
14%
Preventive Care
in the top 0.00%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
healthier than 61%
8%
Climate / Disaster Risk
healthier than 94%
5%
About typical
Disability
healthier than 50%
7%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Healthcare Access
healthier than 11%
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
95303
Californiashares a border
Score 45.22
Closest healthier
95311
Californiashares a border
Score 44.75
Similar health profile
96092
California97% similar profile
Score 33.91
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 | 29.5% | 26.5–32.8 |
| High blood pressure among adults | 38.7% | 34.9–42.7 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.4–10.1 |
| Current asthma among adults | 10.9% | 9.7–12.2 |
| Coronary heart disease among adults | 8.6% | 7.7–9.5 |
| Chronic obstructive pulmonary disease among adults | 9.1% | 7.9–10.4 |
| Depression among adults | 23.5% | 20.4–26.9 |
| Diagnosed diabetes among adults | 14.6% | 12.8–16.5 |
| High cholesterol among adults who have ever been screened | 40.7% | 36.7–45.1 |
| Obesity among adults | 34.2% | 27.8–41.6 |
| Stroke among adults | 4.7% | 4.2–5.1 |
| All teeth lost among adults aged >=65 years | 11.6% | 9.7–13.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.2% | 10.0–14.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.0% | 71.8–77.9 |
| Visits to doctor for routine checkup within the past year among adults | 74.1% | 70.4–77.6 |
| Cholesterol screening among adults | 86.3% | 84.5–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 58.4% | 53.5–63.3 |
| Visited dentist or dental clinic in the past year among adults | 58.7% | 55.4–62.2 |
| Mammography use among women aged 50-74 years | 70.6% | 63.3–77.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.9% | 12.3–17.7 |
| Current cigarette smoking among adults | 15.6% | 13.4–18.3 |
| No leisure-time physical activity among adults | 30.1% | 25.7–34.9 |
| Short sleep duration among adults | 35.7% | 30.0–41.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.1% | 24.7–31.5 |
| Frequent mental distress among adults | 18.0% | 16.1–20.2 |
| Frequent physical distress among adults | 17.6% | 15.7–19.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.3% | 15.4–19.5 |
| Any disability among adults | 37.3% | 33.1–41.7 |
| Hearing disability among adults | 8.8% | 7.8–9.8 |
| Independent living disability among adults | 10.9% | 9.7–12.4 |
| Mobility disability among adults | 20.1% | 17.7–22.7 |
| Self-care disability among adults | 5.8% | 5.2–6.6 |
| Vision disability among adults | 7.5% | 6.7–8.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.3% | 22.8–29.9 |
| Food insecurity in the past 12 months among adults | 20.5% | 17.3–23.7 |
| Received food stamps in the past 12 months among adults | 20.3% | 17.4–23.6 |
| Housing insecurity in the past 12 months among adults | 16.2% | 13.9–18.5 |
| Lack of reliable transportation in the past 12 months among adults | 10.6% | 9.2–12.0 |
| Loneliness among adults | 35.4% | 30.6–40.3 |
| Utility services shut-off threat in the past 12 months among adults | 9.2% | 7.9–10.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.8% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 23.5% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 32.6% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 10.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 9.7% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 7.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 90.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 24.9% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 56.1% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 4.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 24.2% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 63.5% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 19.1% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 44.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $75,750 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $354,900 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $910 | $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 | 82.1 yr ± 1.58 | 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 1.58 years of 82.1, 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