ZIP code
95680
in Ryde, CaliforniaPopulation 11
45.25/ 100
Ranked #22,138 of 32,066 US ZIPs (bottom 31%)
Ranked #1,304 of 1,719 California ZIPs (bottom 24%)
Ranked #108 of 122 Sacramento-Roseville-Folsom, CA ZIPs (bottom 11.5%)
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.
Floodplain exposure
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & 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 ›Housing-cost burden
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
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 ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
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 ›Arsenic in groundwater
29.7%
in the top 3.3% nationally
Lower is healthier
ST97thUS97thDefinition & 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 ›Walkability
1.3 intersections/sq mi
in the bottom 3.8% nationally
Higher is healthier
ST4thUS4thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Loneliness
39.4%
in the top 5.3% nationally
Lower is healthier
ST80thUS95thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Dry extreme heat
74.8 days/year
in the top 5.5% nationally
Lower is healthier
ST80thUS95thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
Judged by its overall standing, Ryde, California (ZIP 95680) sits in the bottom 31% nationally (22,138th) and the bottom 24% of California (1,304th).
A demanding profile, and several measures drive it: floodplain exposure sits at the national maximum, housing-cost burden stands at the national maximum, and modeled arsenic resides in the top 3.3% nationally. Walkability sits in the bottom 3.8% nationally, modeled tree cover stands at the national minimum, and modeled loneliness resides in the top 5.3% nationally. Modeled extreme heat sits in the top 5.5% nationally. On the stronger side, poverty stands at the national minimum, and homeownership resides at the national maximum. Home broadband subscription sits at the national maximum.
Put plainly, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. A healthier nearby ZIP overall is ZIP 95690, 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
Chronic Disease Burden
healthier than 81%
21%
Risk Behavior
healthier than 64%
11%
About typical
Disability
healthier than 47%
7%
Holding it back
Social Need / SDOH
healthier than 31%
16%
Environmental Hazard
healthier than 28%
14%
Preventive Care
healthier than 11%
13%
Mental Health
healthier than 8%
8%
Climate / Disaster Risk
healthier than 1%
5%
Healthcare Access
healthier than 20%
5%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 49%
21%
Environmental Hazard
healthier than 60%
14%
Disability
healthier than 44%
7%
Holding it back
Social Need / SDOH
healthier than 35%
16%
Preventive Care
healthier than 30%
13%
Risk Behavior
healthier than 40%
11%
Mental Health
healthier than 3%
8%
Climate / Disaster Risk
healthier than 2%
5%
Healthcare Access
healthier than 13%
5%
Lifting this score
Chronic Disease Burden
healthier than 63%
21%
Environmental Hazard
healthier than 93%
14%
Holding it back
Social Need / SDOH
healthier than 15%
16%
Preventive Care
healthier than 18%
13%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 31%
7%
Climate / Disaster Risk
healthier than 11%
5%
Healthcare Access
healthier than 14%
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
95641
Californiashares a border
Score 43.03
Closest healthier
95690
Californiashares a border
Score 50.27
Similar health profile
95673
California96% similar profile
Score 45.79
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% | 22.4–28.3 |
| High blood pressure among adults | 28.6% | 25.4–31.9 |
| Cancer (non-skin) or melanoma among adults | 6.6% | 5.8–7.4 |
| Current asthma among adults | 12.1% | 10.7–13.8 |
| Coronary heart disease among adults | 4.6% | 3.9–5.5 |
| Chronic obstructive pulmonary disease among adults | 6.3% | 4.7–8.3 |
| Depression among adults | 28.0% | 24.5–31.7 |
| Diagnosed diabetes among adults | 10.3% | 8.7–12.1 |
| High cholesterol among adults who have ever been screened | 32.8% | 29.4–36.3 |
| Obesity among adults | 33.2% | 28.1–38.4 |
| Stroke among adults | 3.0% | 2.5–3.6 |
| All teeth lost among adults aged >=65 years | 10.0% | 8.0–12.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.9% | 7.1–13.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.8% | 67.3–74.3 |
| Visits to doctor for routine checkup within the past year among adults | 70.1% | 66.4–73.7 |
| Cholesterol screening among adults | 85.1% | 82.3–87.7 |
| Colorectal cancer screening among adults aged 45–75 years | 61.6% | 56.9–66.1 |
| Visited dentist or dental clinic in the past year among adults | 58.5% | 55.1–61.7 |
| Mammography use among women aged 50-74 years | 68.0% | 60.4–74.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.7% | 12.3–17.3 |
| Current cigarette smoking among adults | 13.2% | 9.6–17.0 |
| No leisure-time physical activity among adults | 22.5% | 17.9–27.3 |
| Short sleep duration among adults | 39.1% | 34.8–43.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.7% | 19.3–28.6 |
| Frequent mental distress among adults | 20.3% | 17.6–23.4 |
| Frequent physical distress among adults | 15.4% | 12.9–18.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.2% | 14.1–20.8 |
| Any disability among adults | 32.1% | 27.1–37.7 |
| Hearing disability among adults | 4.9% | 4.2–5.7 |
| Independent living disability among adults | 9.9% | 7.9–12.3 |
| Mobility disability among adults | 15.4% | 12.3–19.0 |
| Self-care disability among adults | 4.4% | 3.4–5.5 |
| Vision disability among adults | 5.7% | 4.7–6.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.2% | 22.0–30.7 |
| Food insecurity in the past 12 months among adults | 18.1% | 13.3–23.5 |
| Received food stamps in the past 12 months among adults | 19.0% | 13.5–25.0 |
| Housing insecurity in the past 12 months among adults | 16.2% | 12.5–20.2 |
| Lack of reliable transportation in the past 12 months among adults | 10.0% | 8.0–12.3 |
| Loneliness among adults | 39.4% | 34.5–44.4 |
| Utility services shut-off threat in the past 12 months among adults | 8.8% | 6.9–10.8 |
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 | — | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 0.0% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | — | 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) | 100.0% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 100.0% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | — | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 100.0% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | — | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | — | $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 | — | $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 | 82.2 yr ± 1.87 | 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 1.87 years of 82.2, 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