ZIP code
95629
in Fiddletown, CaliforniaPopulation 813
54.35/ 100
Ranked #10,254 of 32,066 US ZIPs (top 32%)
Ranked #815 of 1,719 California ZIPs (top 47%)
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
3.8%
in the top 1.6% nationally
Lower is healthier
ST82ndUS98thDefinition & 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 ›PFAS in drinking water
6.1%
in the bottom 2.2% nationally
Lower is healthier
ST4thUS2ndDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›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 ›Transportation noise
0.01%
in the bottom 5.8% 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 ›Housing-cost burden
43.1%
in the top 6.9% nationally
Lower is healthier
ST72ndUS93rdDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Tree cover
74.8%
in the top 7.0% nationally
Higher is healthier
ST95thUS93rdDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Homeownership rate
92.4%
in the top 12.8% nationally
Higher is healthier
ST95thUS87thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Arsenic in groundwater
1.6%
in the bottom 15% nationally
Lower is healthier
ST3rdUS15thDefinition & 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 ›High cholesterol
42.5%
in the top 13.1% nationally
Lower is healthier
ST94thUS87thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Colon-cancer screening
71%
in the top 15% nationally
Higher is healthier
ST95thUS85thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›The read
By the composite measure, Fiddletown, California (ZIP 95629) sits in the top 32% healthiest ZIPs nationally (10,254th) and the top 47% of California (815th).
The profile cuts both ways, and the readings bear that out: modeled pfas stands in the bottom 2.2% nationally, transportation noise is in the bottom 5.8% nationally, and tree cover rests in the top 7.0% nationally. Modeled utility shutoff sits in the bottom 10.9% nationally. Modeled loud transportation noise registers at the national minimum, shared with about 22% of ZIPs. Homeownership lands in the top 12.8% nationally, and floodplain exposure resides in the bottom 13.3% nationally. Working the other way, modeled fine-particle lies in the top 1.6% nationally, and air-toxics cancer risk settles in the top 4.5% nationally. Housing-cost burden stands in the top 6.9% nationally.
In plain language, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. ZIP 95689, just across the boundary, ranks 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.
Lifting this score
Preventive Care
healthier than 87%
13%
Risk Behavior
healthier than 90%
11%
Mental Health
healthier than 72%
8%
Climate / Disaster Risk
healthier than 83%
5%
About typical
Social Need / SDOH
healthier than 57%
16%
Disability
healthier than 51%
7%
Holding it back
Chronic Disease Burden
healthier than 36%
21%
Environmental Hazard
healthier than 12%
14%
Healthcare Access
healthier than 27%
5%
Lifting this score
Preventive Care
healthier than 94%
13%
Risk Behavior
healthier than 80%
11%
Mental Health
healthier than 69%
8%
Climate / Disaster Risk
healthier than 65%
5%
About typical
Social Need / SDOH
healthier than 55%
16%
Disability
healthier than 49%
7%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Environmental Hazard
healthier than 39%
14%
Healthcare Access
healthier than 17%
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
95669
Californiashares a border
Score 48.82
Closest healthier
95689
Californiashares a border
Score 54.57
Similar health profile
59929
Montana95% similar profile
Score 56.55
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 | 32.8% | 29.4–36.2 |
| High blood pressure among adults | 41.4% | 37.1–45.4 |
| Cancer (non-skin) or melanoma among adults | 12.9% | 11.9–14.0 |
| Current asthma among adults | 10.4% | 9.3–11.6 |
| Coronary heart disease among adults | 8.8% | 7.9–9.8 |
| Chronic obstructive pulmonary disease among adults | 8.1% | 7.0–9.2 |
| Depression among adults | 22.0% | 19.1–25.2 |
| Diagnosed diabetes among adults | 13.1% | 11.4–14.9 |
| High cholesterol among adults who have ever been screened | 42.5% | 38.3–46.8 |
| Obesity among adults | 29.2% | 23.1–36.1 |
| Stroke among adults | 4.4% | 4.0–4.9 |
| All teeth lost among adults aged >=65 years | 8.8% | 7.1–10.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.3% | 4.4–6.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.5% | 76.6–82.3 |
| Visits to doctor for routine checkup within the past year among adults | 78.1% | 74.9–81.1 |
| Cholesterol screening among adults | 91.1% | 90.0–92.2 |
| Colorectal cancer screening among adults aged 45–75 years | 71.0% | 66.3–75.2 |
| Visited dentist or dental clinic in the past year among adults | 68.2% | 65.0–71.2 |
| Mammography use among women aged 50-74 years | 77.7% | 70.6–83.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.8% | 11.6–16.4 |
| Current cigarette smoking among adults | 11.3% | 9.5–13.3 |
| No leisure-time physical activity among adults | 21.9% | 18.4–25.7 |
| Short sleep duration among adults | 31.6% | 25.9–37.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.2% | 17.7–22.8 |
| Frequent mental distress among adults | 15.0% | 13.3–16.6 |
| Frequent physical distress among adults | 15.1% | 13.4–16.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.5% | 11.0–14.0 |
| Any disability among adults | 32.7% | 28.8–36.7 |
| Hearing disability among adults | 8.9% | 7.9–9.9 |
| Independent living disability among adults | 8.0% | 7.1–9.0 |
| Mobility disability among adults | 17.0% | 14.8–19.2 |
| Self-care disability among adults | 4.1% | 3.7–4.6 |
| Vision disability among adults | 4.8% | 4.3–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.7% | 18.6–25.1 |
| Food insecurity in the past 12 months among adults | 10.0% | 8.2–11.9 |
| Received food stamps in the past 12 months among adults | 9.7% | 8.0–11.6 |
| Housing insecurity in the past 12 months among adults | 8.1% | 6.8–9.5 |
| Lack of reliable transportation in the past 12 months among adults | 5.9% | 5.1–6.8 |
| Loneliness among adults | 30.9% | 26.2–35.5 |
| Utility services shut-off threat in the past 12 months among adults | 4.8% | 4.1–5.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.5% | 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+) | 14.3% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 39.3% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.3% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 2.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 87.9% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 43.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 92.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 3.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 12.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 71.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 24.7% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 51.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $90,469 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $618,900 | $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 | 79.2 yr ± 1.16 | 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 1.16 years of 79.2, 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