ZIP code
95970
in Princeton, CaliforniaPopulation 453
37.13/ 100
Ranked #28,460 of 32,066 US ZIPs (bottom 11.3%)
Ranked #1,577 of 1,719 California ZIPs (bottom 8.3%)
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
99.2%
in the top 0.3% nationally
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 ›Fine-particle (PM2.5) exceedance
3.6%
in the top 1.9% nationally
Lower is healthier
ST80thUS98thDefinition & 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
86.5 days/year
in the top 3.9% nationally
Lower is healthier
ST87thUS96thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
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 ›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 ›Poverty rate
2.4%
in the bottom 7.9% nationally
Lower is healthier
ST6thUS8thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Fair or poor health
29.3%
in the top 9.8% nationally
Lower is healthier
ST83rdUS90thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Mobility disability
21.1%
in the top 12.9% nationally
Lower is healthier
ST90thUS87thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Radon
0.8 pCi/L
in the bottom 9.6% nationally
Lower is healthier
ST22ndUS10thDefinition & 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 ›Mammography
69.7%
in the bottom 12.8% nationally
Higher is healthier
ST8thUS13thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›The read
Princeton, California (ZIP 95970), overall, ranks in the bottom 11.3% nationally (28,460th) and the bottom 8.3% of California (1,577th).
Several serious readings shape the profile and deserve first mention: floodplain exposure lies in the top 0.3% nationally, modeled fine-particle stands in the top 1.9% nationally, and modeled extreme heat rests in the top 3.9% nationally. Modeled air-toxics cancer risk registers in the top 4.5% nationally, tree cover resides at the national minimum, and fair or poor health settles in the top 9.8% nationally. Fiber broadband is at the national minimum, shared with about 19% of ZIPs. Housing-cost burden sits in the top 11.1% nationally. On the better side, poverty lands in the bottom 7.9% nationally. Households without a vehicle lies at the national minimum, shared with about 16% of ZIPs.
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. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". ZIP 95920, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Social Need / SDOH
healthier than 19%
16%
Environmental Hazard
healthier than 10%
14%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 39%
11%
Mental Health
healthier than 27%
8%
Disability
healthier than 12%
7%
Climate / Disaster Risk
in the bottom 0.08%
5%
Healthcare Access
healthier than 37%
5%
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Social Need / SDOH
healthier than 26%
16%
Environmental Hazard
healthier than 36%
14%
Preventive Care
healthier than 35%
13%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 17%
8%
Disability
healthier than 13%
7%
Climate / Disaster Risk
in the bottom 0.4%
5%
Healthcare Access
healthier than 23%
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
95920
Californiashares a border
Score 43.33
Closest healthier
95932
Californiashares a border
Score 42.79
Similar health profile
73092
Oklahoma98% similar profile
Score 40.16
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 | 29.5% | 26.8–32.2 |
| High blood pressure among adults | 37.9% | 34.6–41.2 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.5–10.0 |
| Current asthma among adults | 10.8% | 9.8–11.9 |
| Coronary heart disease among adults | 9.0% | 8.1–10.0 |
| Chronic obstructive pulmonary disease among adults | 9.9% | 8.5–11.4 |
| Depression among adults | 23.9% | 21.1–26.7 |
| Diagnosed diabetes among adults | 14.8% | 13.1–16.4 |
| High cholesterol among adults who have ever been screened | 38.9% | 35.6–42.2 |
| Obesity among adults | 34.4% | 28.5–40.6 |
| Stroke among adults | 4.8% | 4.3–5.3 |
| All teeth lost among adults aged >=65 years | 19.2% | 16.4–22.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.1% | 10.0–14.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.2% | 72.6–77.6 |
| Visits to doctor for routine checkup within the past year among adults | 72.7% | 69.6–75.7 |
| Cholesterol screening among adults | 84.0% | 82.2–85.9 |
| Colorectal cancer screening among adults aged 45–75 years | 62.2% | 57.8–66.3 |
| Visited dentist or dental clinic in the past year among adults | 56.6% | 53.5–59.7 |
| Mammography use among women aged 50-74 years | 69.7% | 62.6–75.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.8% | 13.6–18.1 |
| Current cigarette smoking among adults | 17.0% | 14.7–19.7 |
| No leisure-time physical activity among adults | 29.9% | 25.9–34.2 |
| Short sleep duration among adults | 34.7% | 29.6–40.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.3% | 25.9–32.9 |
| Frequent mental distress among adults | 19.0% | 17.1–20.8 |
| Frequent physical distress among adults | 18.4% | 16.4–20.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.5% | 16.4–20.7 |
| Any disability among adults | 40.3% | 36.1–44.5 |
| Hearing disability among adults | 9.3% | 8.3–10.3 |
| Independent living disability among adults | 11.8% | 10.4–13.4 |
| Mobility disability among adults | 21.1% | 18.5–23.8 |
| Self-care disability among adults | 6.1% | 5.3–6.9 |
| Vision disability among adults | 7.9% | 7.0–8.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.1% | 24.0–30.6 |
| Food insecurity in the past 12 months among adults | 21.7% | 18.5–25.1 |
| Received food stamps in the past 12 months among adults | 22.3% | 18.9–25.7 |
| Housing insecurity in the past 12 months among adults | 16.1% | 14.0–18.4 |
| Lack of reliable transportation in the past 12 months among adults | 11.3% | 10.0–12.8 |
| Loneliness among adults | 35.2% | 31.1–39.6 |
| Utility services shut-off threat in the past 12 months among adults | 9.2% | 8.1–10.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.4% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 7.8% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 17.6% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 10.7% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 2.0% | 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 | 84.3% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 39.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 68.7% | 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 | 15.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 47.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 14.3% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 33.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $69,000 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $371,400 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,170 | $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 | 82.3 yr ± 1.33 | 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 1.33 years of 82.3, 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