ZIP code
95983
in Taylorsville, CaliforniaPopulation 302
47.74/ 100
Ranked #19,265 of 32,066 US ZIPs (bottom 40%)
Ranked #1,205 of 1,719 California ZIPs (bottom 30%)
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
9.6%
in the top 0.07% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Park land
77.8%
in the top 0.8% nationally
Higher is healthier
ST97thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Unemployment rate
18.9%
in the top 2.3% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The share of the civilian labor force that is unemployed.
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 ›Industrial-pollution burden
in the bottom 2.9% nationally
Lower is healthier
ST8thUS3rdDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Homeownership rate
32.8%
in the bottom 3.7% nationally
Higher is healthier
ST10thUS4thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Distance to a hazardous-chemical facility
19.6 mi
in the top 5.0% nationally
Higher is healthier
ST95thUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Transportation noise
0.01%
in the bottom 5.7% nationally
Lower is healthier
ST4thUS6thDefinition & 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 ›Air-toxics cancer risk
36.7 per million
in the top 8.4% nationally
Lower is healthier
ST56thUS92ndDefinition & 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 Superfund site
52.2 mi
in the top 11.4% nationally
Higher is healthier
ST97thUS89thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›The read
On balance, and by the composite measure, Taylorsville, California (ZIP 95983) ranks in the bottom 40% nationally (19,265th) and the bottom 30% of California (1,205th).
Where this area bears down hardest, the measures speak first: modeled fine-particle lies in the top 0.07% nationally, and unemployment resides in the top 2.3% nationally. Modeled air-toxics cancer risk lands in the top 8.4% nationally. Fiber broadband registers at the national minimum, shared with about 19% of ZIPs. On the encouraging side, park land sits in the top 0.8% nationally, poverty rests at the national minimum, and modeled industrial-pollution burden is in the bottom 2.9% nationally. Distance to a hazardous-chemical facility stands in the top 5.0% nationally, and modeled transportation noise settles in the bottom 5.7% nationally. Households without a vehicle lies at the national minimum, shared with about 16% of ZIPs.
Compared with the ZIPs it borders, park land runs far higher than the surrounding ZIPs on this measure. In plainer terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. For a healthier nearby ZIP overall, look to ZIP 95934, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Preventive Care
healthier than 74%
13%
Risk Behavior
healthier than 76%
11%
Climate / Disaster Risk
healthier than 76%
5%
About typical
Social Need / SDOH
healthier than 41%
16%
Holding it back
Chronic Disease Burden
healthier than 26%
21%
Environmental Hazard
healthier than 18%
14%
Mental Health
healthier than 29%
8%
Disability
healthier than 31%
7%
Healthcare Access
healthier than 10%
5%
Lifting this score
Preventive Care
healthier than 87%
13%
About typical
Social Need / SDOH
healthier than 43%
16%
Environmental Hazard
healthier than 49%
14%
Risk Behavior
healthier than 55%
11%
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Mental Health
healthier than 19%
8%
Disability
healthier than 30%
7%
Healthcare Access
healthier than 6%
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
95934
Californiashares a border
Score 48.15
Closest healthier
95971
Californiaabout 1.5 mi away
Score 50.65
Similar health profile
16882
Pennsylvania94% similar profile
Score 51.12
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 | 33.8% | 30.0–37.6 |
| High blood pressure among adults | 40.7% | 36.3–45.2 |
| Cancer (non-skin) or melanoma among adults | 11.7% | 10.6–12.9 |
| Current asthma among adults | 11.3% | 10.0–12.7 |
| Coronary heart disease among adults | 9.3% | 8.2–10.4 |
| Chronic obstructive pulmonary disease among adults | 9.4% | 8.1–10.8 |
| Depression among adults | 25.1% | 21.5–29.1 |
| Diagnosed diabetes among adults | 14.2% | 12.3–16.3 |
| High cholesterol among adults who have ever been screened | 41.6% | 37.1–46.4 |
| Obesity among adults | 31.7% | 24.2–40.1 |
| Stroke among adults | 4.7% | 4.2–5.3 |
| All teeth lost among adults aged >=65 years | 11.8% | 9.4–14.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.7% | 4.6–7.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.3% | 75.2–81.1 |
| Visits to doctor for routine checkup within the past year among adults | 77.2% | 73.5–80.6 |
| Cholesterol screening among adults | 89.0% | 87.4–90.4 |
| Colorectal cancer screening among adults aged 45–75 years | 71.6% | 66.5–76.2 |
| Visited dentist or dental clinic in the past year among adults | 65.6% | 61.8–69.2 |
| Mammography use among women aged 50-74 years | 74.9% | 66.6–82.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.4% | 11.8–17.2 |
| Current cigarette smoking among adults | 14.6% | 12.3–17.3 |
| No leisure-time physical activity among adults | 24.6% | 20.3–29.5 |
| Short sleep duration among adults | 32.5% | 25.9–39.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.6% | 20.5–27.0 |
| Frequent mental distress among adults | 17.9% | 15.9–20.1 |
| Frequent physical distress among adults | 16.8% | 14.8–19.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.1% | 13.2–17.1 |
| Any disability among adults | 36.5% | 31.9–41.5 |
| Hearing disability among adults | 9.2% | 8.1–10.3 |
| Independent living disability among adults | 9.6% | 8.4–10.9 |
| Mobility disability among adults | 19.0% | 16.4–21.7 |
| Self-care disability among adults | 4.8% | 4.2–5.5 |
| Vision disability among adults | 5.6% | 5.0–6.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.2% | 19.4–27.1 |
| Food insecurity in the past 12 months among adults | 13.5% | 11.0–16.1 |
| Received food stamps in the past 12 months among adults | 14.9% | 12.1–17.9 |
| Housing insecurity in the past 12 months among adults | 10.8% | 9.0–12.7 |
| Lack of reliable transportation in the past 12 months among adults | 7.8% | 6.7–8.9 |
| Loneliness among adults | 32.9% | 27.6–38.4 |
| Utility services shut-off threat in the past 12 months among adults | 6.7% | 5.7–7.8 |
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 | 16.1% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 10.9% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 39.7% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 18.9% | 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 | 89.1% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 21.9% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 32.8% | 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 | 3.3% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 62.7% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 26.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 45.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $54,968 | $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 | $1,113 | $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 | 74.5 yr ± 2.23 | 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 2.23 years of 74.5, 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