ZIP code
95619
in Diamond Springs, CaliforniaPopulation 4,974
50.40/ 100
Ranked #15,702 of 32,066 US ZIPs (top 49%)
Ranked #1,040 of 1,719 California ZIPs (bottom 39%)
Ranked #75 of 122 Sacramento-Roseville-Folsom, CA ZIPs (bottom 39%)
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.
Fine-particle (PM2.5) exceedance
5.4%
in the top 1.0% nationally
Lower is healthier
ST89thUS99thDefinition & 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 ›Housing-cost burden
52%
in the top 2.5% nationally
Lower is healthier
ST92ndUS98thDefinition & source ›
The share of households spending 30% or more of their income on housing.
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 ›Mental-health provider access
0.21 per 1,000 residents
in the top 4.0% nationally
Higher is healthier
ST95thUS96thDefinition & source ›
The number of mental-health clinics located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
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 ›Child-care access
0.62 per 1,000 residents
in the top 6.7% nationally
Higher is healthier
ST96thUS93rdDefinition & source ›
The number of child day-care services inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›PFAS in drinking water
59.5%
in the top 8.2% nationally
Lower is healthier
ST93rdUS92ndDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Arsenic in groundwater
1.4%
in the bottom 12.2% nationally
Lower is healthier
ST2ndUS12thDefinition & 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 ›Tooth loss
7.3%
in the bottom 9.6% nationally
Lower is healthier
ST26thUS10thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Radon
1.3 pCi/L
in the bottom 37% nationally
Lower is healthier
ST90thUS37thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›The read
Diamond Springs, California (ZIP 95619), by its composite score, sits in the top 49% healthiest ZIPs nationally (15,702nd) and the bottom 39% of California (1,040th).
The measures land in both directions, and neither dominates: floodplain exposure resides at the national minimum, and mental-health providers is in the top 4.0% nationally. Childcare lands in the top 6.7% nationally, and outpatient stands in the top 11.0% nationally. Distance to a community health center registers at the national minimum, shared with about 23% of ZIPs. Modeled arsenic settles in the bottom 12.2% nationally. Pulling the other way, modeled fine-particle sits in the top 1.0% nationally, housing-cost burden lies in the top 2.5% nationally, and modeled air-toxics cancer risk rests in the top 4.5% nationally. Modeled pfas resides in the top 8.2% nationally.
Next to the surrounding area, park land runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. For a healthier comparison close by, see ZIP 95623, 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 Sacramento-Roseville-Folsom, CA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Risk Behavior
healthier than 72%
11%
Climate / Disaster Risk
healthier than 83%
5%
Healthcare Access
healthier than 83%
5%
About typical
Chronic Disease Burden
healthier than 49%
21%
Social Need / SDOH
healthier than 53%
16%
Preventive Care
healthier than 57%
13%
Holding it back
Environmental Hazard
healthier than 6%
14%
Mental Health
healthier than 38%
8%
Disability
healthier than 34%
7%
Lifting this score
Preventive Care
healthier than 75%
13%
Climate / Disaster Risk
healthier than 65%
5%
Healthcare Access
healthier than 64%
5%
About typical
Social Need / SDOH
healthier than 52%
16%
Risk Behavior
healthier than 49%
11%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Environmental Hazard
healthier than 25%
14%
Mental Health
healthier than 29%
8%
Disability
healthier than 33%
7%
Lifting this score
Preventive Care
healthier than 66%
13%
Climate / Disaster Risk
healthier than 83%
5%
Healthcare Access
healthier than 68%
5%
Holding it back
Chronic Disease Burden
healthier than 10%
21%
Social Need / SDOH
healthier than 34%
16%
Environmental Hazard
healthier than 28%
14%
Risk Behavior
healthier than 30%
11%
Mental Health
healthier than 33%
8%
Disability
healthier than 17%
7%
“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
95623
Californiashares a border
Score 54.19
Closest healthier
95667
Californiashares a border
Score 53.93
Similar health profile
95945
California96% similar profile
Score 51.55
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 | 30.8% | 27.3–34.4 |
| High blood pressure among adults | 37.2% | 33.0–41.6 |
| Cancer (non-skin) or melanoma among adults | 10.9% | 9.8–12.0 |
| Current asthma among adults | 10.7% | 9.5–12.1 |
| Coronary heart disease among adults | 8.3% | 7.4–9.4 |
| Chronic obstructive pulmonary disease among adults | 8.3% | 7.1–9.6 |
| Depression among adults | 24.1% | 20.6–27.8 |
| Diagnosed diabetes among adults | 12.9% | 11.0–14.8 |
| High cholesterol among adults who have ever been screened | 37.6% | 33.1–42.0 |
| Obesity among adults | 30.6% | 24.0–37.8 |
| Stroke among adults | 4.4% | 3.9–4.9 |
| All teeth lost among adults aged >=65 years | 7.3% | 5.8–9.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.1% | 5.9–8.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.8% | 73.5–79.8 |
| Visits to doctor for routine checkup within the past year among adults | 75.6% | 71.9–79.1 |
| Cholesterol screening among adults | 87.8% | 86.2–89.4 |
| Colorectal cancer screening among adults aged 45–75 years | 67.6% | 62.7–72.3 |
| Visited dentist or dental clinic in the past year among adults | 65.0% | 61.6–68.5 |
| Mammography use among women aged 50-74 years | 76.1% | 68.6–82.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.8% | 13.1–18.9 |
| Current cigarette smoking among adults | 13.2% | 11.1–15.5 |
| No leisure-time physical activity among adults | 24.0% | 19.8–28.5 |
| Short sleep duration among adults | 33.3% | 27.6–39.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.7% | 19.7–26.1 |
| Frequent mental distress among adults | 17.4% | 15.3–19.6 |
| Frequent physical distress among adults | 16.1% | 14.0–18.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.2% | 13.3–17.3 |
| Any disability among adults | 36.0% | 31.3–40.7 |
| Hearing disability among adults | 8.7% | 7.7–9.8 |
| Independent living disability among adults | 9.6% | 8.4–10.9 |
| Mobility disability among adults | 18.3% | 15.7–20.9 |
| Self-care disability among adults | 4.5% | 4.0–5.1 |
| Vision disability among adults | 5.7% | 5.1–6.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.0% | 19.5–26.7 |
| Food insecurity in the past 12 months among adults | 14.1% | 11.6–16.7 |
| Received food stamps in the past 12 months among adults | 14.2% | 11.8–16.7 |
| Housing insecurity in the past 12 months among adults | 11.4% | 9.6–13.2 |
| Lack of reliable transportation in the past 12 months among adults | 7.9% | 6.8–9.1 |
| Loneliness among adults | 32.8% | 27.7–37.8 |
| Utility services shut-off threat in the past 12 months among adults | 6.6% | 5.6–7.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 20.4% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 3.7% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 6.8% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 19.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.9% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 6.3% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 89.3% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 52.0% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 62.9% | 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 | 3.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 61.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 27.8% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 51.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $66,429 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $373,900 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,669 | $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 | 78.5 yr ± 0.87 | 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 0.87 years of 78.5, 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