ZIP code
96064
in Montague, CaliforniaPopulation 4,665
47.89/ 100
Ranked #19,061 of 32,066 US ZIPs (bottom 41%)
Ranked #1,201 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
8.9%
in the top 0.2% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Natural-disaster risk
in the top 1.8% nationally
Lower is healthier
ST93rdUS98thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Industrial-pollution burden
in the bottom 9.1% nationally
Lower is healthier
ST18thUS9thDefinition & 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 ›The read
Montague, California (ZIP 96064), by its overall standing, sits in the bottom 41% nationally (19,061st) and the bottom 30% of California (1,201st).
The data is direct about where this area carries real strain: modeled fine-particle sits in the top 0.2% nationally, modeled disaster risk settles in the top 1.8% nationally, and crowded housing registers in the top 10.5% nationally. Fatal road crashes stands in the top 13.3% nationally, and slow internet speeds lands in the top 15% nationally. Distance to a hazardous-chemical facility is at the national minimum, shared with about 31% of ZIPs. Distance to a nursing home resides in the top 18% nationally, and walkability rests in the bottom 18% nationally. More encouragingly, modeled industrial-pollution burden lies in the bottom 9.1% nationally, and park land sits in the top 10.3% nationally.
Held up against its neighbors, park land runs far lower than the surrounding ZIPs on this measure. Defined in plain terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. The nearest ZIP ranking healthier overall is ZIP 96034, 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
Risk Behavior
healthier than 68%
11%
Climate / Disaster Risk
healthier than 83%
5%
About typical
Preventive Care
healthier than 48%
13%
Healthcare Access
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 36%
21%
Social Need / SDOH
healthier than 31%
16%
Environmental Hazard
healthier than 21%
14%
Mental Health
healthier than 32%
8%
Disability
healthier than 30%
7%
Lifting this score
Preventive Care
healthier than 68%
13%
Climate / Disaster Risk
healthier than 65%
5%
About typical
Environmental Hazard
healthier than 52%
14%
Risk Behavior
healthier than 44%
11%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 35%
16%
Mental Health
healthier than 22%
8%
Disability
healthier than 29%
7%
Healthcare Access
healthier than 27%
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
96023
Californiashares a border
Score 29.32
Closest healthier
96034
Californiashares a border
Score 50.75
Similar health profile
95960
California95% similar profile
Score 45.98
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 | 31.5% | 27.9–35.1 |
| High blood pressure among adults | 38.8% | 34.4–43.1 |
| Cancer (non-skin) or melanoma among adults | 10.8% | 9.8–11.9 |
| Current asthma among adults | 11.1% | 9.7–12.4 |
| Coronary heart disease among adults | 8.9% | 7.9–9.9 |
| Chronic obstructive pulmonary disease among adults | 8.9% | 7.8–10.0 |
| Depression among adults | 24.4% | 20.7–28.2 |
| Diagnosed diabetes among adults | 13.4% | 11.6–15.4 |
| High cholesterol among adults who have ever been screened | 40.0% | 35.3–44.4 |
| Obesity among adults | 31.2% | 23.8–39.1 |
| Stroke among adults | 4.6% | 4.2–5.0 |
| All teeth lost among adults aged >=65 years | 12.0% | 9.6–14.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.8% | 5.7–8.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.0% | 73.7–79.9 |
| Visits to doctor for routine checkup within the past year among adults | 75.6% | 71.6–79.1 |
| Cholesterol screening among adults | 87.4% | 85.7–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 65.4% | 59.9–70.5 |
| Visited dentist or dental clinic in the past year among adults | 62.6% | 58.7–66.4 |
| Mammography use among women aged 50-74 years | 74.9% | 66.8–82.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.3–17.9 |
| Current cigarette smoking among adults | 14.6% | 12.5–16.9 |
| No leisure-time physical activity among adults | 25.3% | 21.0–30.0 |
| Short sleep duration among adults | 33.7% | 27.2–40.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.8% | 20.7–26.8 |
| Frequent mental distress among adults | 18.0% | 16.0–20.2 |
| Frequent physical distress among adults | 16.5% | 14.5–18.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.7% | 13.9–17.6 |
| Any disability among adults | 36.7% | 32.1–41.4 |
| Hearing disability among adults | 9.1% | 8.1–10.2 |
| Independent living disability among adults | 9.9% | 8.8–11.0 |
| Mobility disability among adults | 18.5% | 16.2–21.1 |
| Self-care disability among adults | 4.7% | 4.2–5.2 |
| Vision disability among adults | 5.8% | 5.2–6.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.6% | 21.0–28.6 |
| Food insecurity in the past 12 months among adults | 14.4% | 12.2–16.9 |
| Received food stamps in the past 12 months among adults | 15.3% | 12.9–17.8 |
| Housing insecurity in the past 12 months among adults | 11.4% | 9.7–13.2 |
| Lack of reliable transportation in the past 12 months among adults | 8.2% | 7.2–9.3 |
| Loneliness among adults | 33.1% | 28.0–38.4 |
| Utility services shut-off threat in the past 12 months among adults | 6.8% | 5.8–7.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.1% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 8.5% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 8.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 18.5% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.6% | 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 | 89.2% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 27.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 78.7% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 6.1% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 3.8% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 51.2% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 22.6% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 42.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $61,157 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $262,400 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $902 | $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 | 76.3 yr ± 0.77 | 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 0.77 years of 76.3, 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