ZIP code
95312
in Cressey, CaliforniaPopulation 232
33.73/ 100
Ranked #29,830 of 32,066 US ZIPs (bottom 7.0%)
Ranked #1,635 of 1,719 California ZIPs (bottom 4.9%)
Ranked #14 of 19 Merced, CA ZIPs (bottom 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.
Colon-cancer screening
48.2%
in the bottom 1.5% nationally
Higher is healthier
ST7thUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Dry extreme heat
101.8 days/year
in the top 1.4% 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 ›Fair or poor health
33.8%
in the top 3.6% nationally
Lower is healthier
ST93rdUS96thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
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 ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Transportation noise
19.3%
in the top 2.7% nationally
Lower is healthier
ST93rdUS97thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Mammography
66.3%
in the bottom 4.4% nationally
Higher is healthier
ST2ndUS4thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Vision disability
9.6%
in the top 5.8% nationally
Lower is healthier
ST91stUS94thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Uninsured (under 65)
18.7%
in the top 5.7% nationally
Lower is healthier
ST89thUS94thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›The read
Cressey, California (ZIP 95312), on the composite measure, lands in the bottom 7.0% nationally (29,830th) and the bottom 4.9% of California (1,635th).
What the numbers press hardest on defines much of the story here: modeled colon screening rests in the bottom 1.5% nationally, extreme heat sits in the top 1.4% nationally, and fair or poor health registers in the top 3.6% nationally. Modeled fine-particle lands in the top 2.0% nationally, transportation noise resides in the top 2.7% nationally, and mammography lies in the bottom 4.4% nationally. Modeled vision disability settles in the top 5.8% nationally, and uninsured stands in the top 5.7% nationally. On the encouraging side, poverty is at the national minimum, and floodplain exposure rests at the national minimum.
In everyday language, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. A healthier neighbor overall sits at ZIP 95388, 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
Chronic Disease Burden
healthier than 43%
21%
Healthcare Access
healthier than 42%
5%
Holding it back
Social Need / SDOH
healthier than 8%
16%
Environmental Hazard
in the bottom 0.4%
14%
Preventive Care
healthier than 3%
13%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 26%
8%
Disability
healthier than 8%
7%
Climate / Disaster Risk
healthier than 25%
5%
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
healthier than 13%
16%
Environmental Hazard
healthier than 3%
14%
Preventive Care
healthier than 11%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 16%
8%
Disability
healthier than 9%
7%
Climate / Disaster Risk
healthier than 23%
5%
Healthcare Access
healthier than 26%
5%
Lifting this score
Preventive Care
healthier than 67%
13%
Climate / Disaster Risk
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 50%
16%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Environmental Hazard
in the bottom 0.00%
14%
Risk Behavior
healthier than 39%
11%
Mental Health
healthier than 22%
8%
Disability
healthier than 33%
7%
Healthcare Access
healthier than 17%
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
95388
Californiashares a border
Score 37.66
Closest healthier
95334
Californialess than 0.1 mi away
Score 39.99
Similar health profile
93703
California98% similar profile
Score 30.36
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 | 25.2% | 22.1–28.7 |
| High blood pressure among adults | 36.4% | 32.3–40.7 |
| Cancer (non-skin) or melanoma among adults | 6.6% | 5.9–7.4 |
| Current asthma among adults | 10.7% | 9.4–12.1 |
| Coronary heart disease among adults | 8.1% | 7.1–9.2 |
| Chronic obstructive pulmonary disease among adults | 8.5% | 7.0–10.0 |
| Depression among adults | 23.1% | 19.7–26.9 |
| Diagnosed diabetes among adults | 15.7% | 13.5–18.0 |
| High cholesterol among adults who have ever been screened | 39.0% | 34.6–43.5 |
| Obesity among adults | 36.2% | 28.9–44.2 |
| Stroke among adults | 4.4% | 3.8–5.0 |
| All teeth lost among adults aged >=65 years | 21.8% | 18.1–26.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 18.7% | 14.7–22.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.8% | 68.4–75.2 |
| Visits to doctor for routine checkup within the past year among adults | 71.2% | 67.0–75.4 |
| Cholesterol screening among adults | 82.9% | 80.2–85.4 |
| Colorectal cancer screening among adults aged 45–75 years | 48.2% | 43.2–53.3 |
| Visited dentist or dental clinic in the past year among adults | 52.8% | 49.1–56.7 |
| Mammography use among women aged 50-74 years | 66.3% | 57.2–74.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.5% | 11.9–17.5 |
| Current cigarette smoking among adults | 17.7% | 14.4–21.1 |
| No leisure-time physical activity among adults | 36.7% | 31.1–42.8 |
| Short sleep duration among adults | 38.0% | 31.7–44.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 33.8% | 28.9–38.8 |
| Frequent mental distress among adults | 19.7% | 17.3–22.3 |
| Frequent physical distress among adults | 18.9% | 16.4–21.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.5% | 17.6–23.7 |
| Any disability among adults | 39.9% | 34.6–45.7 |
| Hearing disability among adults | 8.3% | 7.3–9.4 |
| Independent living disability among adults | 12.4% | 10.5–14.4 |
| Mobility disability among adults | 21.0% | 17.8–24.3 |
| Self-care disability among adults | 6.7% | 5.7–7.7 |
| Vision disability among adults | 9.6% | 8.2–11.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.2% | 26.1–34.5 |
| Food insecurity in the past 12 months among adults | 31.0% | 26.2–36.6 |
| Received food stamps in the past 12 months among adults | 29.2% | 24.5–34.7 |
| Housing insecurity in the past 12 months among adults | 23.7% | 20.4–27.6 |
| Lack of reliable transportation in the past 12 months among adults | 14.7% | 12.5–17.2 |
| Loneliness among adults | 38.8% | 33.5–44.2 |
| Utility services shut-off threat in the past 12 months among adults | 12.8% | 10.9–14.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 10.4% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 25.8% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 6.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 20.5% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 79.5% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 20.5% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 64.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 22.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 75.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 22.8% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 52.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $80,625 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $670 | $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 | 81.4 yr ± 1.70 | 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 1.70 years of 81.4, 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