ZIP code
95640
in Ione, CaliforniaPopulation 13,926
51.60/ 100
Ranked #13,982 of 32,066 US ZIPs (top 44%)
Ranked #969 of 1,719 California ZIPs (bottom 44%)
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.
Natural-disaster risk
in the top 2.4% nationally
Lower is healthier
ST91stUS98thDefinition & 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 ›Fine-particle (PM2.5) exceedance
2.0%
in the top 4.5% nationally
Lower is healthier
ST65thUS96thDefinition & 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 ›Dry extreme heat
62.3 days/year
in the top 7.0% nationally
Lower is healthier
ST77thUS93rdDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Binge drinking
18%
in the top 19% nationally
Lower is healthier
ST91stUS81stDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Arsenic in groundwater
2.0%
in the bottom 27% nationally
Lower is healthier
ST8thUS27thDefinition & 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 ›The read
In its overall standing, Ione, California (ZIP 95640) lands in the top 44% healthiest ZIPs nationally (13,982nd) and the bottom 44% of California (969th).
Reading the numbers as a whole, the picture lands somewhere in between: lead in tap water resides in the bottom 15% nationally, and modeled industrial-pollution burden settles in the bottom 16% nationally. On the other side, modeled disaster risk is in the top 2.4% nationally, air-toxics cancer risk sits in the top 4.5% nationally, and fine-particle lands in the top 4.5% nationally. Modeled extreme heat lies in the top 7.0% nationally, and pfas stands in the top 12.3% nationally. Distance to a Superfund site rests in the bottom 15% nationally. Distance to a hazardous-chemical facility registers at the national minimum, shared with about 31% of ZIPs. Walkability resides in the bottom 21% nationally.
Put simply, 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. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. On the overall standing, ZIP 95227, just across the boundary, ranks healthier.
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.
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 73%
21%
Mental Health
healthier than 68%
8%
About typical
Social Need / SDOH
healthier than 46%
16%
Risk Behavior
healthier than 53%
11%
Disability
healthier than 59%
7%
Healthcare Access
healthier than 55%
5%
Holding it back
Environmental Hazard
healthier than 14%
14%
Preventive Care
healthier than 22%
13%
Climate / Disaster Risk
healthier than 25%
5%
Lifting this score
Mental Health
healthier than 63%
8%
About typical
Social Need / SDOH
healthier than 47%
16%
Environmental Hazard
healthier than 43%
14%
Preventive Care
healthier than 44%
13%
Disability
healthier than 55%
7%
Holding it back
Chronic Disease Burden
healthier than 39%
21%
Risk Behavior
healthier than 29%
11%
Climate / Disaster Risk
healthier than 24%
5%
Healthcare Access
healthier than 34%
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 ›
Findings that name this ZIP
2 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 14.5; chronic-disease standing 73.2 — 59 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,288 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 81.6 ± 2.4 years.
Ranked #504 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
95227
Californiashares a border
Score 52.85
Closest healthier
95642
Californiashares a border
Score 53.99
Similar health profile
85392
Arizona99% similar profile
Score 54.22
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 | 23.7% | 20.7–26.8 |
| High blood pressure among adults | 36.0% | 31.8–40.2 |
| Cancer (non-skin) or melanoma among adults | 8.3% | 7.5–9.2 |
| Current asthma among adults | 9.7% | 8.6–10.9 |
| Coronary heart disease among adults | 7.0% | 6.3–7.8 |
| Chronic obstructive pulmonary disease among adults | 6.3% | 5.6–7.1 |
| Depression among adults | 20.6% | 17.5–24.0 |
| Diagnosed diabetes among adults | 11.8% | 10.2–13.5 |
| High cholesterol among adults who have ever been screened | 36.7% | 32.4–41.2 |
| Obesity among adults | 31.4% | 24.3–39.0 |
| Stroke among adults | 3.6% | 3.3–3.9 |
| All teeth lost among adults aged >=65 years | 10.1% | 8.1–12.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.6% | 7.9–11.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.4% | 67.7–74.8 |
| Visits to doctor for routine checkup within the past year among adults | 70.8% | 66.4–74.8 |
| Cholesterol screening among adults | 86.3% | 84.4–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 62.9% | 57.3–68.0 |
| Visited dentist or dental clinic in the past year among adults | 61.4% | 57.6–65.0 |
| Mammography use among women aged 50-74 years | 75.7% | 67.5–82.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.0% | 14.8–21.5 |
| Current cigarette smoking among adults | 13.7% | 11.7–15.8 |
| No leisure-time physical activity among adults | 22.7% | 19.0–26.8 |
| Short sleep duration among adults | 35.9% | 29.1–43.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.6% | 18.9–24.4 |
| Frequent mental distress among adults | 16.6% | 14.7–18.6 |
| Frequent physical distress among adults | 14.2% | 12.5–15.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.4% | 12.8–16.2 |
| Any disability among adults | 31.1% | 27.0–35.3 |
| Hearing disability among adults | 7.2% | 6.4–8.0 |
| Independent living disability among adults | 7.7% | 6.9–8.7 |
| Mobility disability among adults | 14.1% | 12.3–16.0 |
| Self-care disability among adults | 4.1% | 3.7–4.5 |
| Vision disability among adults | 5.0% | 4.5–5.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.5% | 23.6–31.7 |
| Food insecurity in the past 12 months among adults | 14.6% | 12.2–17.3 |
| Received food stamps in the past 12 months among adults | 12.8% | 10.9–15.0 |
| Housing insecurity in the past 12 months among adults | 13.0% | 11.1–15.2 |
| Lack of reliable transportation in the past 12 months among adults | 8.2% | 7.2–9.4 |
| Loneliness among adults | 34.1% | 28.8–39.7 |
| Utility services shut-off threat in the past 12 months among adults | 7.1% | 6.1–8.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.4% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 4.9% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 14.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 16.5% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.9% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 5.1% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 87.3% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 27.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 84.1% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 6.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 53.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 19.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 41.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $97,000 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $450,500 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,350 | $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 | 81.6 yr ± 1.21 | 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 1.21 years of 81.6, 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