ZIP code
95449
in Hopland, CaliforniaPopulation 1,763
43.06/ 100
Ranked #24,327 of 32,066 US ZIPs (bottom 24%)
Ranked #1,387 of 1,719 California ZIPs (bottom 19%)
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.
Mental-health provider access
0.7 per 1,000 residents
in the top 0.5% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of mental-health clinics located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Fatal road crashes
90.8 per 100,000 residents per year
in the top 0.7% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Unemployment rate
18.5%
in the top 2.4% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Crowded housing
12.0%
in the top 3.4% nationally
Lower is healthier
ST82ndUS97thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Outpatient-care access
0.7 per 1,000 residents
in the top 3.9% nationally
Higher is healthier
ST94thUS96thDefinition & source ›
The number of outpatient clinics located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Homeownership rate
43.8%
in the bottom 6.4% nationally
Higher is healthier
ST20thUS6thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Slow internet speeds
1.7%
in the top 6.8% nationally
Lower is healthier
ST89thUS93rdDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Fine-particle (PM2.5) exceedance
1.4%
in the top 6.9% nationally
Lower is healthier
ST57thUS93rdDefinition & 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 ›Loud transportation noise
1.7%
in the top 9.3% nationally
Lower is healthier
ST57thUS91stDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Housing-cost burden
40.1%
in the top 10.0% nationally
Lower is healthier
ST58thUS90thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›The read
By the composite measure, Hopland, California (ZIP 95449) sits in the bottom 24% nationally (24,327th) and the bottom 19% of California (1,387th).
What the numbers press hardest on defines much of the story here: fatal road crashes is in the top 0.7% nationally, unemployment rests in the top 2.4% nationally, and crowded housing sits in the top 3.4% nationally. Homeownership registers in the bottom 6.4% nationally, slow internet speeds lands in the top 6.8% nationally, and modeled fine-particle resides in the top 6.9% nationally. Modeled loud transportation noise lies in the top 9.3% nationally. Fiber broadband settles at the national minimum, shared with about 19% of ZIPs. On the encouraging side, mental-health providers stands in the top 0.5% nationally, and outpatient is in the top 3.9% nationally.
Compared with the ZIPs that surround it, mental-health providers runs far higher than the surrounding ZIPs on this measure. 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. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. ZIP 95415, 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
Climate / Disaster Risk
healthier than 61%
5%
About typical
Chronic Disease Burden
healthier than 52%
21%
Environmental Hazard
healthier than 41%
14%
Healthcare Access
healthier than 45%
5%
Holding it back
Social Need / SDOH
healthier than 12%
16%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 30%
11%
Mental Health
healthier than 24%
8%
Disability
healthier than 20%
7%
Lifting this score
Environmental Hazard
healthier than 68%
14%
About typical
Climate / Disaster Risk
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Social Need / SDOH
healthier than 18%
16%
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 15%
11%
Mental Health
healthier than 14%
8%
Disability
healthier than 20%
7%
Healthcare Access
healthier than 28%
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
95415
Californiashares a border
Score 53.31
Closest healthier
95425
Californiashares a border
Score 58.85
Similar health profile
59034
Montana98% similar profile
Score 39.44
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 | 26.5% | 23.2–29.7 |
| High blood pressure among adults | 36.0% | 31.6–40.1 |
| Cancer (non-skin) or melanoma among adults | 7.9% | 7.2–8.7 |
| Current asthma among adults | 11.1% | 9.8–12.5 |
| Coronary heart disease among adults | 7.8% | 6.9–8.7 |
| Chronic obstructive pulmonary disease among adults | 8.5% | 7.3–9.9 |
| Depression among adults | 23.6% | 20.0–27.3 |
| Diagnosed diabetes among adults | 13.3% | 11.4–15.2 |
| High cholesterol among adults who have ever been screened | 37.2% | 32.8–41.6 |
| Obesity among adults | 30.1% | 23.1–37.2 |
| Stroke among adults | 4.2% | 3.8–4.7 |
| All teeth lost among adults aged >=65 years | 19.0% | 15.3–22.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.9% | 10.6–15.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.5% | 67.9–74.6 |
| Visits to doctor for routine checkup within the past year among adults | 70.6% | 66.4–74.4 |
| Cholesterol screening among adults | 83.4% | 81.2–85.3 |
| Colorectal cancer screening among adults aged 45–75 years | 58.8% | 53.0–64.1 |
| Visited dentist or dental clinic in the past year among adults | 55.6% | 51.5–59.3 |
| Mammography use among women aged 50-74 years | 72.4% | 63.7–79.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.8% | 13.7–19.9 |
| Current cigarette smoking among adults | 17.3% | 14.5–20.2 |
| No leisure-time physical activity among adults | 27.8% | 23.0–32.8 |
| Short sleep duration among adults | 36.5% | 29.9–43.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.7% | 24.0–31.6 |
| Frequent mental distress among adults | 19.6% | 17.3–22.0 |
| Frequent physical distress among adults | 17.4% | 15.2–19.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.6% | 16.5–21.1 |
| Any disability among adults | 37.6% | 32.7–42.6 |
| Hearing disability among adults | 8.2% | 7.2–9.2 |
| Independent living disability among adults | 11.1% | 9.7–12.6 |
| Mobility disability among adults | 18.6% | 16.1–21.3 |
| Self-care disability among adults | 5.4% | 4.7–6.1 |
| Vision disability among adults | 7.3% | 6.5–8.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.2% | 25.3–33.4 |
| Food insecurity in the past 12 months among adults | 22.7% | 19.5–26.2 |
| Received food stamps in the past 12 months among adults | 20.9% | 17.8–24.1 |
| Housing insecurity in the past 12 months among adults | 17.8% | 15.3–20.4 |
| Lack of reliable transportation in the past 12 months among adults | 11.7% | 10.2–13.2 |
| Loneliness among adults | 37.5% | 32.2–42.7 |
| Utility services shut-off threat in the past 12 months among adults | 9.3% | 8.0–10.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 17.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 18.7% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 29.3% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 15.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 18.5% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 8.5% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 91.1% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 40.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 43.8% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 12.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 14.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 47.8% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 17.0% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 36.0 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 | $640,600 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,695 | $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 | 83.8 yr ± 2.64 | 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 2.64 years of 83.8, 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