ZIP code
95679
in Rumsey, CaliforniaPopulation 80
46.92/ 100
Ranked #20,265 of 32,066 US ZIPs (bottom 37%)
Ranked #1,234 of 1,719 California ZIPs (bottom 28%)
Ranked #102 of 122 Sacramento-Roseville-Folsom, CA ZIPs (bottom 16%)
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.
Housing-cost burden
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Distance to an emergency room
24.1 mi
in the top 3.4% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Fine-particle (PM2.5) exceedance
2.2%
in the top 4.0% nationally
Lower is healthier
ST68thUS96thDefinition & 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 ›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 ›Distance to a nursing home
16.6 mi
in the top 4.6% nationally
Lower is healthier
ST94thUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Short sleep
28.5%
in the bottom 4.3% nationally
Lower is healthier
ST4thUS4thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Dry extreme heat
65.5 days/year
in the top 6.5% nationally
Lower is healthier
ST78thUS94thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
Rumsey, California (ZIP 95679), overall, ranks in the bottom 37% nationally (20,265th) and the bottom 28% of California (1,234th).
Reading across the data, the real pressures come first: distance to an emergency room stands in the top 3.4% nationally, modeled fine-particle rests in the top 4.0% nationally, and modeled air-toxics cancer risk registers in the top 4.5% nationally. Distance to a nursing home resides in the top 4.6% nationally, and modeled extreme heat settles in the top 6.5% nationally. More encouragingly, housing-cost burden is at the national minimum, and poverty sits at the national minimum. Homeownership lands at the national maximum, and home broadband subscription lies at the national maximum. Modeled short sleep stands in the bottom 4.3% nationally.
Defined simply, 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. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. ZIP 95607, just across the boundary, comes out healthier overall.
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
Social Need / SDOH
healthier than 74%
16%
Preventive Care
healthier than 68%
13%
Risk Behavior
healthier than 88%
11%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Environmental Hazard
healthier than 22%
14%
Mental Health
healthier than 19%
8%
Disability
healthier than 20%
7%
Climate / Disaster Risk
healthier than 18%
5%
Healthcare Access
healthier than 7%
5%
Lifting this score
Social Need / SDOH
healthier than 68%
16%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 76%
11%
About typical
Environmental Hazard
healthier than 54%
14%
Holding it back
Chronic Disease Burden
healthier than 10%
21%
Mental Health
healthier than 10%
8%
Disability
healthier than 20%
7%
Climate / Disaster Risk
healthier than 15%
5%
Healthcare Access
healthier than 4%
5%
Lifting this score
Environmental Hazard
healthier than 86%
14%
Preventive Care
healthier than 82%
13%
Risk Behavior
healthier than 73%
11%
About typical
Social Need / SDOH
healthier than 59%
16%
Holding it back
Chronic Disease Burden
in the bottom 0.9%
21%
Mental Health
healthier than 10%
8%
Disability
healthier than 3%
7%
Climate / Disaster Risk
healthier than 36%
5%
Healthcare Access
in the bottom 0.9%
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
95607
Californiashares a border
Score 49.48
Closest healthier
95637
Californiashares a border
Score 48.21
Similar health profile
28537
North Carolina84% similar profile
Score 42.11
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 | 33.5% | 29.8–37.4 |
| High blood pressure among adults | 37.2% | 33.2–41.5 |
| Cancer (non-skin) or melanoma among adults | 12.3% | 10.9–13.9 |
| Current asthma among adults | 11.6% | 10.2–13.2 |
| Coronary heart disease among adults | 9.4% | 7.8–11.3 |
| Chronic obstructive pulmonary disease among adults | 9.1% | 7.0–11.6 |
| Depression among adults | 26.9% | 23.2–31.0 |
| Diagnosed diabetes among adults | 12.1% | 10.1–14.2 |
| High cholesterol among adults who have ever been screened | 38.8% | 34.5–43.5 |
| Obesity among adults | 28.0% | 22.1–35.0 |
| Stroke among adults | 5.0% | 4.0–6.1 |
| All teeth lost among adults aged >=65 years | 17.6% | 14.5–21.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.4% | 6.2–11.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.8% | 75.7–81.5 |
| Visits to doctor for routine checkup within the past year among adults | 76.9% | 73.3–80.5 |
| Cholesterol screening among adults | 88.2% | 86.0–90.2 |
| Colorectal cancer screening among adults aged 45–75 years | 72.7% | 67.7–77.4 |
| Visited dentist or dental clinic in the past year among adults | 65.4% | 61.9–68.8 |
| Mammography use among women aged 50-74 years | 74.8% | 67.2–81.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.6% | 11.3–16.5 |
| Current cigarette smoking among adults | 12.4% | 9.8–15.5 |
| No leisure-time physical activity among adults | 26.9% | 21.5–32.7 |
| Short sleep duration among adults | 28.5% | 23.4–34.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.2% | 19.7–29.4 |
| Frequent mental distress among adults | 18.2% | 15.9–20.7 |
| Frequent physical distress among adults | 16.8% | 14.2–19.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.4% | 13.7–19.3 |
| Any disability among adults | 38.7% | 33.3–44.4 |
| Hearing disability among adults | 10.5% | 8.8–12.3 |
| Independent living disability among adults | 11.2% | 9.1–13.6 |
| Mobility disability among adults | 20.4% | 16.5–24.7 |
| Self-care disability among adults | 4.9% | 3.9–6.1 |
| Vision disability among adults | 6.2% | 5.0–7.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.0% | 19.8–28.7 |
| Food insecurity in the past 12 months among adults | 14.5% | 11.0–18.5 |
| Received food stamps in the past 12 months among adults | 15.3% | 11.6–19.5 |
| Housing insecurity in the past 12 months among adults | 11.8% | 9.5–14.3 |
| Lack of reliable transportation in the past 12 months among adults | 8.2% | 6.7–9.9 |
| Loneliness among adults | 34.6% | 29.3–40.2 |
| Utility services shut-off threat in the past 12 months among adults | 6.7% | 5.5–7.9 |
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 | 0.0% | 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+) | 100.0% | 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 | 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) | 0.0% | 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 | 0.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 0.0% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 40.2 yr | 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 | 83.7 yr ± 2.55 | 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 2.55 years of 83.7, 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